The New York Stock Exchange is one of the most recognizable rooms in business. For an Investor Day at the NYSE, that recognition does real work: it signals permanence, frames your story inside the symbolism of public markets, and gives analysts and shareholders a reason to clear their calendars. Booking 11 Wall Street is a strong opening move.
It is also where the real opportunity begins. The same infrastructure that makes the NYSE reliable for hundreds of events a year gives every company a strong, shared foundation to build on. Treat that foundation as your starting point rather than the finished product, and the day becomes unmistakably yours. The work that turns a world-class venue into a memorable Investor Day happens in the months before the date, in the decisions that are yours to make.
Here’s how to think about that gap, what to ask before you commit, and where the real opportunity to differentiate lives.
Want the planning framework in one page? Download our Investor Day at the NYSE Planning Checklist to pressure-test your plan, phase by phase.
Short answer: if you’re an NYSE-listed company and your audience is institutional, it’s hard to beat. NYSE event facilities are available to listed companies only, so the first question is simply whether you qualify. If you do, the practical advantages are real. The headquarters at 11 Wall Street offers more than 37,000 square feet across 17 rooms, accommodating anywhere from a 4-person briefing to a 425-guest general session. The Trading Floor, the Board Room, and Freedom Hall each carry a different register of formality, and the redesigned 2 Broad Street lobby brings modern display capability to a historic building. There’s even a West Coast option, NYSE Pacific, for teams whose investors cluster in San Francisco.
For an investor audience, the venue does something no hotel ballroom can: it puts your management team inside the literal architecture of the capital markets they’re asking investors to believe in. That’s signal value before a single slide loads.
The NYSE’s in-house production runs reliably and consistently because it’s refined across hundreds of events a year. That scale is a real advantage: the NYSE handles the room, the technology, and the logistics at a level few venues can match, on a professional, repeatable framework you can trust. It’s a strong foundation to build on.
What that foundation doesn’t do is tell your story for you. The visual language, the narrative, the flow, and the feel of the day are yours to design, and they’re what set your Investor Day apart from any other held in the same space. The opportunity is to build on the NYSE’s stage with a branded, sequenced experience that’s unmistakably yours.
Knowing exactly where the NYSE’s framework hands off to your own production is the single most useful thing a first-time host can understand.
The standard NYSE framework typically covers:
What it doesn’t cover is everything that makes the day feel like yours:
Those pieces fall to you, or to your production partner. That division of labor is where the opportunity lives.
This is the part most teams underuse, and it’s the part that pays off most. The NYSE stage belongs to every company that books it. Making it unmistakably yours requires treating every surface as a signal, so the narrative starts working before an executive says a word.
The brandable touchpoints are more numerous than most teams realize. Across a recent Investor Day we produced at the exchange, the customization spanned the entire guest journey:
None of this is decoration. In capital markets, production quality either reinforces confidence or creates friction. A coherent, branded environment tells investors that the team running this event is the same team running the business: disciplined, detail-aware, and in control. That impression is doing quiet persuasive work all day. Building it well requires a design studio that understands both brand systems and the NYSE’s technical and installation requirements, because every asset has to integrate cleanly with in-house systems.
Most Investor Days now serve a live audience and a remote one simultaneously, and they are different disciplines. The virtual audience deserves a dedicated infrastructure, a producer whose only job is the broadcast, and a quality standard that matches the room, not a webcam afterthought. A purpose-built broadcast and microsite gives remote investors a first-class experience, often at a lower platform cost than the default option if someone bothers to pressure-test the spec.
And because this is an investor event, the day sits inside Regulation FD. Material information you share with the room generally has to reach everyone at the same time. In practice, that means three things:
Build the fair-disclosure mechanics into the production plan from the start rather than discovering them the week of.
The pattern is consistent: great Investor Days take shape in the months before the date, long before the doors open. The work happens across a handful of moving parts:
The venue is the canvas. The orchestration is the work.
That orchestration also reduces risk. When one team holds accountability across NYSE operations, AV, the virtual crew, and your executives, the seams disappear, and seamlessness is exactly the register a high-stakes investor moment demands.
The NYSE gives you an extraordinary room. Turning it into an Investor Day that moves perception is a separate project, and it starts long before the date. Cardboard Spaceship produces Investor Days at the NYSE end to end, from cost reengineering and branded environment design to hybrid broadcast, executive prep, and content capture, with a single accountable team. If you have a date on the horizon, let’s talk about it.
Want the planning framework in one page? Download our Investor Day at the NYSE Planning Checklist.
No. NYSE event facilities are available to listed companies only. If your company is listed on the exchange, you can book event space at 11 Wall Street or NYSE Pacific; if not, the venue isn’t an option for your Investor Day.
Quite a lot. Beyond the stage, companies commonly customize LED entry and exit screens, totems, window treatments across the welcome and main event spaces, the podium panel, and attendee lanyards and badges, all meeting the venue’s technical and installation specs. The brandable footprint covers the entire guest journey from arrival to walk-out.
The NYSE provides a reliable, standardized in-house framework, including the venue, AV infrastructure, and a default webcast option. Brand-specific design, custom run of show, executive prep, virtual production beyond the standard, and content capture fall outside that framework, and an outside production partner typically handles them.
Begin several months out. The decisions that determine quality all need lead time: budget reengineering, the site walkthrough, the design system, and the broadcast plan. Custom fabrication and install schedules also have to align with the venue’s load-in window.
AI moved from innovation language into investor language faster than most companies built the operating model to back it up. Today 88% of organizations use AI somewhere – yet roughly 95% of AI efforts show no measurable return, and investors have stopped rewarding AI spend on faith. With 2026 hyperscaler capex tracking toward $527B, the market is openly pricing the gap between what companies claim about AI and what they can prove.
That gap is now an IR problem. AI claims don’t stay inside product and engineering teams – they surface on earnings calls, in Investor Day narratives, in launch demos and roadshow conversations – and a credibility gap quietly becomes an equity-story gap. Mastering AI for investor relations means making your company’s AI story specific, financially grounded, and staged so a skeptical room can believe it.
The 2026 AI Briefing for IR Leaders is a source-backed field guide to that work. Inside, you’ll get the five shifts redefining the AI conversation, a framework for connecting AI spend to return, the five Demo Modes for staging proof without ceding the narrative, eight practical moves to make now, and a one-page pre-event readiness checklist you can run before the room fills.
In May 2026, the SEC proposed optional semiannual reporting: the option for public companies to report twice a year instead of four times. Under the proposal, a company could file a single semiannual report on a new Form 10-S in place of three quarterly 10-Qs, keeping only the year-end annual report on top of it. The comment period runs through early July, and if the rule is adopted, some calendar-year companies could be making the election as early as their next annual filing.
It is easy to read that as a story about paperwork., but it is not. The SEC’s proposed semiannual reporting option changes how often companies are required to file – but it does nothing to change how closely the market watches. Analysts will still build their models. Institutional holders will still look for signals. Boards, employees, and the financial press will still expect a clear read on where the business is heading. The disclosure floor may drop. The demand for understanding does not move at all.
Strictly speaking, filing less and communicating less are two separate decisions (the regulation governs the first, not the second). But for most companies they will not stay separate on their own.When you remove a deadline, voluntary output tends to drift down, not hold steady. Report less, and you’ll communicate less – unless IR teams deliberately rebuild the rhythm the quarterly filing used to enforce.
So the meaningful question for investor relations teams is not “Can we stop reporting every quarter?” It is “How do we keep confidence high when the formal reporting cadence slows down?”
Short answer
Semiannual reporting changes filing frequency, not the market’s need for information – and the SEC’s proposal leaves earnings calls and releases untouched. Companies that simply report less create an information vacuum that others will fill. The stronger move is to replace the quarterly disclosure rhythm with a deliberate engagement system: investor letters, KPI explainers, executive video, conference content, and an always-on investor hub that becomes the source of truth between filings.
The mechanics matter, because they shape the decision. The proposal is optional. Companies that prefer the current cadence keep filing three 10-Qs and one 10-K. Those that elect the new path file one Form 10-S covering the first half of the year, plus their annual report. The SEC has framed this as flexibility – letting companies and their investors choose the interim frequency that fits the business rather than applying a single rule written for a very different market decades ago.
Two details are easy to miss and important for IR planning.
In other words, the regulation sets a lower minimum, but it does not require silence. What a company does with the space between filings becomes a strategic decision, not a compliance default.
For most public companies, the quarterly report was never only a disclosure obligation. It was a forcing function. A recurring, scheduled reason for leadership to explain progress, reset expectations, name risks before someone else did, and connect the latest numbers back to the long-term strategy. Remove three of those four moments and you do not just remove filings. You remove the cadence that kept the company’s story in front of the market on a predictable schedule.
That cadence does not have to disappear. But it will not maintain itself.
Left alone, a thinner calendar tends to produce longer silences, and silence in capital markets is rarely neutral. Analysts fill gaps with assumptions. Investors price in uncertainty. The story drifts toward whatever interpretation is loudest, which is frequently not the company’s own.
The first mistake is treating the choice as a finance or legal decision alone.
Whether to elect semiannual reporting is, in large part, a communications decision. About how a company wants to be understood, how much friction it is willing to introduce for the analysts who cover it, and whether comparability with quarterly-reporting peers will help or hurt its valuation.
The second mistake is assuming “report less” and “communicate less” are the same thing. They are not. The companies most likely to struggle with a thinner calendar are the ones that quietly let engagement lapse and hope the next report does the heavy lifting. By then, perception has already set.
The disciplined approach is to design an engagement system before changing the cadence, so the new rhythm is intentional rather than accidental. In practice, that system tends to include a handful of connected pieces:
The format matters less than the discipline behind it: consistent messaging, steady proof points, and a clear path from performance to strategy that holds together across the year.
Here is the principle underneath all of this: a strong investor narrative is not decoration. It is infrastructure for understanding. When the regulatory scaffolding that used to organize the year comes down, the company has to supply its own structure. And that structure is built out of communication, not compliance.
It also helps to stop thinking about these assets as separate line items. The investor letter, the executive video, the conference deck, the investor microsite that serves as a single source of truth – these are not a checklist. They are connected parts of a singular investor experience, and they either reinforce each other or they create friction. A polished video paired with a confusing data page does not read as “polished video, confusing page.” It reads as a company that does not understand its own story.
Fewer filings also raise the value of the moments that remain. A semiannual cadence makes set-piece events – the Investor Day, the roadshow, the strategy update – carry more weight, because there are fewer of them to carry the year. The companies that treat those moments as orchestrated communications events, not just meetings with slides, will get more out of each one. That is where executive video, CEO messaging, and disciplined presentation design move from “nice production” to true signal: in capital markets, production quality either reinforces confidence or introduces doubt, and there is rarely a neutral option.
Concretely, for a company that elects semiannual reporting, that system has a shape. The half-year report anchors the calendar, but it no longer stands alone.
That is the difference between reporting less and going quiet – and it is work that must be designed, not improvised.
If your company is weighing the semiannual election – or simply watching the proposal move through its comment period – the most useful thing you can do now is separate two questions that often get merged. One is a filing question: does a lighter calendar fit our business, our peers, and our investor base? The other is a communications question: if we file less, what is our deliberate plan to keep the market informed, confident, and aligned with our strategy in between?
A lighter filing calendar does not have to mean a quieter company. Handled well, it can create room for sharper storytelling, better-designed updates, and a more intentional investor experience — one built on the company’s own terms rather than the disclosure calendar’s.
If you’re weighing the semiannual election, the engagement plan belongs in the decision, not after it. That’s the work Cardboard Spaceship does – building the narrative, video, presentation, and microsite moments that keep the market confident in the quarters without a formal filing.
=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>=””>-attribute-key=”content”>No. The SEC proposed making semiannual reporting optional. Companies could elect to file a single semiannual report (Form 10-S) plus their annual report, or keep the current schedule of three quarterly reports and one annual report. As of mid-2026 it is a proposal, with the public comment period closing in early July 2026.
Not necessarily. The proposal changes the minimum filing requirement, not communication strategy. It does not alter the frequency of earnings calls or releases, and electing companies could still publish first- and third-quarter financials voluntarily. How much a company communicates between filings becomes a choice.
The main risks are perception-related: longer gaps can create information vacuums that analysts and investors fill with their own assumptions, and reporting on a different cadence than quarterly-filing peers can introduce comparability challenges. Strong, consistent between-filings engagement is what offsets those risks.
A clear narrative connecting performance to strategy, KPI explainers, executive video, conference and roadshow content, targeted shareholder outreach, and an always-on investor hub that consolidates the story and the data in one place.
Treat it as two questions, not one. First, the filing question: does the lighter calendar suit your business model, investor base, and peer set? Second, the communications question: do you have a deliberate plan to keep the market confident in the quarters without a formal report? The second question is where most of the real risk – and opportunity – lives.
The afternoon before Satya Nadella walked onto a stage at Fort Mason, Microsoft Copilot went dark. More than 2,600 enterprise users reported outages on Downdetector before noon on June 1, 2026. The failure locked people out of workflows their companies had rebuilt around the assistant. Twenty-four hours later, Nadella opened Microsoft Build 2026 by promising autonomous agents that would run those workflows on their own.
That gap – between the failure and the promise – is where this story starts. But it is not what the story is about. For three years, the question facing every public company with an AI story was simple: do you have it? Build 2026 is where that question quietly died. Nobody in the room doubted Microsoft has AI.
The sharper shift wasn’t the question. It was who is now asking it.
The first reader of your earnings call is increasingly not a person but a machine. It is an AI agent that summarizes and scores you for the analyst before a human looks. At Build, Microsoft spent two days building exactly that kind of system. This piece is about the audience it creates: what we call the agentic audience. And what every team working in investor relations in the agentic era must do to earn an accurate read.
Here is the uncomfortable part. An investor moment built only for the people attending (live or virtually) is now half-built. The other half of your audience never shows up, never applauds, never forgets. And it is already grading you. The investor moment used to be a pitch. It is becoming an audit, one you volunteer for the moment you publish.
The agentic audience is the growing layer of AI systems that read, summarize, and score a company’s communications before any human does. It is the model an analyst runs across your earnings transcript to extract guidance. The tool that sentiment-scores management’s tone on the call. The agent that reconciles your slide deck against your filings and flags what does not match. By the time a human analyst forms a view, a machine has often already shaped it.
Build 2026 turned that abstraction into something you can point at, because Microsoft spent the keynote building the very class of system that does this work. It unveiled seven in-house MAI models, among them the reasoning model MAI-Thinking-1 and MAI-Transcribe-1.5, which handles 43 languages. They are summarizers, sentiment-scorers, and reasoning engines. In other words, they are the exact tools that now sit between a company and its investors. The company that demonstrated the agentic audience most vividly is also one of the companies building it. Microsoft did not invent this reader, and it is not building it alone. Google, OpenAI, and Anthropic are racing on the same class of system. What Build offered was the clearest view of it: the whole stack on one stage, in public – models, agents, web-grounding, governance.
Web IQ is the Bing-built service Microsoft unveiled to pull live web information into AI answers. And it already feeds both Microsoft Copilot and ChatGPT. Read that twice. The machine forming a view of your company is, increasingly, a handful of systems owned by the same companies whose clouds you publish on, whose models you depend on, and whose platforms you compete with. The agentic audience is not a neutral crowd assembling on its own. Someone is building it, and the supplier list is short.
Nothing announced at Build governs how an outside model reads or summarizes you. Microsoft’s governance story was real but pointed elsewhere: Agent 365 controls what your agents can touch and spend. The party being summarized has no equivalent protection. The reader is consolidating, and no one is accountable for the read.
A machine does not read the way a room does, and that single fact rewrites the job.
It cannot be charmed. Not by a confident founder, not by a clean slide, not by the conviction that carries a room. It does not attend a presentation; it parses one. It extracts the claims, checks them against the rest of your disclosures, and scores what reconciles. Charisma was always part of the IR toolkit. The agentic audience is immune to it. What it rewards instead is verifiability – a claim it can reconstruct, not one it has to trust.
This is why “do you have AI?” gave way to a harder set of questions. Can you govern it, can you reproduce the results you claim, and can you earn back what you spend. Each one is a question a machine can actually check.
Microsoft built its keynote to answer them in evidence rather than adjectives. It owned its reasoning model outright, trained without distillation. It unveiled an agent platform whose first Autopilot, Scout, runs on the open-source OpenClaw wrapped in enterprise governance. And Microsoft Foundry, a consumption-billing model, turned agent work into metered, countable usage.
Capability was the last decade’s contest. The next one is quieter and harder to fake: it rewards the company that AI can verify. A version of it has already played out in publishing. There, AI summaries answer for the source before readers ever click through. The businesses on the other end feel it, in their traffic and their revenue.
You cannot charm this reader. You can only hand it something to confirm. Numbers that reconcile across every document. Claims it can check on its own. Proof it can rebuild without taking your word for any of it. That is what reading you well now requires. The reader is here, and it is forming a view. The only question left is whether you have given it a story true enough to support.
You could watch this happen in real time at Build. Microsoft shares had run well off their late-March low going into the week, but the stock slipped during the event itself, sliding roughly 3 to 4% across June 2 and 3 to around $430.80. The pattern of that sell-off is the agentic audience caught in the act.
The market discounted the spectacle – a next-generation Majorana 2 quantum chip it could not yet price – and bore down on the one figure it could verify and model: performance per watt, where Microsoft claimed a 1.4x gain from running its own MAI models on its own Maia 200 chips. It rewarded what reconciled and marked down what it could not check. That is not how a crowd responds to a great show. It is how a system reads. The agentic audience was no forecast at Build; it was already in the tape, grading the most consequential AI company on earth in real time.
The bull case ran on the same currency. Morgan Stanley’s Keith Weiss argued Wall Street is underestimating the revenue Microsoft’s AI data-center spending will generate – by as much as 91% – and set a $650 price target against a roughly $557 “Strong Buy” consensus. Wedbush’s Daniel Ives, calling the recent OpenAI restructure a net positive, raised his to $575 and noted Microsoft will now collect roughly $6 billion from OpenAI in 2026. Notice what those targets rest on: not vision, but modeled, reconcilable numbers – revenue per megawatt, dollars per token, performance per watt. Even the human analysts are reading like the machines now.
None of this retires production. An investor moment is still a human performance. You are still building conviction, sequencing a story, earning a room’s trust in the span of a morning. The agentic audience does not replace that work. It adds a second, colder reading on top of it. A machine that was never in the room now parses everything you build for the people in it. The discipline is producing one event that lands both ways.
The two audiences reward different things, which is harder than it sounds. A few of the considerations that change how we build:
The agentic audience reads the transcript, the deck, and the filing. It does not read the lighting, the pause before the big number, or the certainty in a CEO’s voice. A point that landed only on its delivery will not survive the compression into text. The meaning has to live in the record, not only in the performance.
The agentic audience scores reconciliation a human eye forgives. Every figure has to tie across every document a system cross-references – deck, press release, 10-Q, transcript, call. The mismatch a person skims past is the exact thing the model flags. Consistency also runs across time. The reader holds your last several quarters and compares them in seconds. A quietly reclassified segment or redefined metric reads as drift. Flag the change before the model catches it.
It can’t hear conviction, but it reads the words that carry it. Hedging, heavy qualifiers, and a defensive Q&A answer register as uncertainty. One shaky line can color an otherwise strong quarter. Confident language is not only better for the room. It also scores better on the page.
A machine cannot infer the setup. The claims you most want understood have to be the easiest ones to extract and still be true. Say a number needs three slides of context to mean what you intend. The summary will keep the number and drop the context.
A machine can rebuild proof, so proof is what it rewards. Microsoft modeled this on stage. Its strongest demonstrations were the ones the audience could go run that same afternoon. The new coding model reached developers the day it launched, and the models rolled out live rather than “coming soon.” Our five Demo Modes for reading live AI demonstrations need a sixth: Verified Reproducible. Its credibility comes not from how it looked, but from how easily the audience can rebuild it. The IR translation is exact. An analyst – or the analyst’s AI – can rebuild a number from your filings. That number beats the one you ask anyone to take on faith.
Production craft is not exempt from this. If anything, it matters more. This year, Microsoft shrank Build into the workshop-scaled Fort Mason Center. It was a smaller, more exposed room than the stadium productions of years past. The choice traded spectacle for intimacy to rebuild developer trust. A smaller room is harder to produce, not easier – there is nowhere for thin material to hide. But the same instinct serves the AI analyst. A room built on substance rather than spectacle produces a clean record: proof-dense, claim-forward, easy to reconstruct. The production decisions that earn a skeptical room’s trust are, increasingly, the same ones that survive an agentic read.
A few overlooked materials become the load-bearing part of an investor moment. Each decides whether the story you told the room is the one that travels beyond it:
The last move is the one most teams skip.
After the event, query the major models and agents the way a covering analyst would. Read how they summarize you. Say they miss the thesis, mangle the guidance, or quote a number out of context. That is not a model problem. It maps exactly where your materials fell short, and you now know what to fix before the next one. The agentic read is no longer something to anticipate. It is something you can test, the same way you would rehearse a run-of-show. That is the difference between a team that talks about the agentic audience and one that produces for it.
None of these are particularly glamorous. They are what decides whether the story you told the room is the story that sticks.
This is what we consider when we approach any investor moment, live event, or public production. The room still gets the cinematic, human experience it came for: the narrative arc, the presence, the conviction that moves people. But we make sure that every asset that leaves the building will survive the second, thorough machine reading.
It echoes something we explored in Coinbase’s recent work: proving real human craft in a synthetic age. Build 2026 is the other side of the same coin. Coinbase had to prove provenance: that real people made the work. The agentic era asks for accountability: that the claim holds up to scrutiny. Both answer the one question that now defines high-stakes communication. When everyone assumes capability, and software can fake or automate almost anything, how do you generate trust?
The companies that own the agentic era will take the new reader seriously now. They will decide how the world understands them before a model decides for them. The ones that wait will not get a warning. They will simply find their story reaching the analyst pre-summarized. A model they never met will have framed it, in words they did not choose.
Your next investor isn’t only human. The audience now includes a machine that reads first, forgets nothing, and cannot be won over. At Build 2026, Microsoft showed everyone what it looks like by building it. You do not win that room with a better show. You win it with a story built from planning to playback. Both the people deciding and the machine briefing them have to read it the same way. That is the work, and it is worth starting before the reader starts deciding for you.
Microsoft Build 2026 centered on agentic AI. The headline announcements included seven in-house MAI models (led by the reasoning model MAI-Thinking-1), a new category of autonomous agents called Autopilots – the first, Scout, runs on the open-source framework OpenClaw – the Maia 200 AI chip, the Project Solara agent platform, and the Majorana 2 quantum chip.
Build 2026 marked the moment the investor question shifted from “do you have AI?” to whether a company can govern, reproduce, and monetize it. For IR teams, it signals that capability is now assumed and proof – of control and return – is the new mandate.
The Agentic Audience is the idea that the first reader of your earnings transcript, investor day deck, or keynote is increasingly an AI system that summarizes and sentiment-scores you for the analyst before a human reads a word. Companies now produce investor communication for both humans and the models that brief them.
Microsoft stock fell roughly 3–4% across June 2–3, 2026, to around $430.80. Investors treated the flashiest reveal, the Majorana 2 quantum chip, as a long-term catalyst, and kept pressing on AI capital spending, margins, an expanded FTC probe, and broader macro headwinds.
Beyond its core AI platform, Microsoft Build 2026 introduced Azure HorizonDB, a managed PostgreSQL service for agentic apps; a GPU-accelerated Fabric Data Warehouse for faster analytics; Project Rayfin, a managed backend-as-a-service on Microsoft Fabric that closes the prototype-to-production gap; the MAI-Voice-2 and MAI-Transcribe-1.5 models, the latter covering 43 languages; and Web IQ, a model-agnostic, MCP-native grounding layer that already powers both Microsoft Copilot and ChatGPT.
The agentic era is rewriting what proof looks like in front of investors, and the companies that adapt first will set the standard. If you are planning a high-stakes moment and want to build it to convince both the room and the models reading it, let’s start a conversation.
Investor day production, even in the simplest sense, is no small task. Your company will spend six to nine months and a budget that can run past a quarter of a million dollars to prepare for a single day. The leadership team will rehearse. Legal and finance will sign off on every number. The deck will move through draft after draft. Then, somewhere in the second Q&A session, an analyst three rows back – or half-watching the webcast from a desk in Boston – will form the quiet judgment that moves your stock.
That judgment rarely turns on the strategy itself. It turns on whether you made the strategy easy to understand, easy to believe, and easy to repeat.
The research bears this out. When Corbin Advisors surveyed 453 investors, analysts, and IR executives in 2020, 76% of the investors and analysts said strong investor day content pushed them to buy shares or upgrade a rating. In the same study, 53% said weak content – content that confused them or raised more questions than it answered – pushed them to sell or downgrade. Same room, same executives, same numbers on the slides. Execution flips the outcome.
That study dates to late 2020, and two forces have only sharpened its conclusion since. The room is now permanently hybrid, and your first reader is increasingly not human. More on both below. The throughline holds: the strongest companies stop planning the investor day like a meeting and start producing it like a broadcast. That is what it has become.
A best-in-class investor day educates the market on strategy, gives investors access to leadership beyond the C-suite, and presents content substantial enough to stand on its own. Investors reward that with buys and upgrades – and punish poorly delivered content with the opposite. Increasingly, the deciding factor is production: a broadcast-quality webcast, a deck designed to survive scrutiny, educational video, and a durable digital home for the content afterward.
Institutional shareholders, active and passive alike, want deeper transparency into strategy and a sharper case for competitive advantage. Investor bandwidth keeps shrinking while the competition for attention climbs. Investors still value the format when companies use it well: 94% call investor days a good use of their time, though about a third qualify that endorsement, crediting the events only when the company executes.
Most companies leave the opportunity on the table anyway. Corbin found that 68% have held an investor day, yet only 19% hold one annually and 17% biennially, even though investors say they want these events every year or two. Show up on a credible cadence, execute when you do, and you already stand apart.
An investor day is not a low-risk educational exercise. It is a high-leverage moment that either reinforces confidence or creates friction, and production quality usually decides which. The upside is just as concrete as the downside. When Starbucks held its investor day in New York in January 2026, it used the platform to put a multi-year financial outlook behind CEO Brian Niccol’s “Back to Starbucks” turnaround, and it put leaders beyond the CEO on stage to walk investors through the plan. That is the job an investor day exists to do: turn a story investors have already heard into a framework they can underwrite. A clear narrative, backed by numbers and delivered well, still shapes how the market models your future.
Strip away the logistics and three themes run through the research.
The single biggest draw is exposure to management investors don’t normally see: business unit presidents, segment leaders, the next layer beyond the C-suite. In Corbin’s survey, 83% name next-level leadership presenters among the most important elements of an investor day, just ahead of access to senior leadership at 75%.
Investors weigh depth and credibility, not just the headline strategy. When only the CEO and CFO field questions, the bench looks thin. When the whole leadership team answers with confidence, the company looks durable.
71% of investors prefer content-rich slides supported by voiceover over image-heavy slides that lean on narration. They want the presentation to stand on its own.
This is not a minor preference: 88% rank the investor presentation as the leading source of company-generated information – on par with meeting management directly – and 78% call it Important to Critical to their due diligence, returning to the deck and transcript long after the room has cleared.
Investors want a credible long-term view – targets or milestones, framed as ranges with stated assumptions. A clear 60% prefer a three-year horizon for financial targets over any other timeframe. Without that forward view, the strategy reads as aspiration rather than commitment.
Here is where a production lens changes the conversation. Most of the avoidable failures aren’t strategic. They’re executional.
When Corbin ran its survey in 2020, 85% of investors still preferred to attend in person, and a live video stream of management counted as the rarer, more expensive option – even though 72% of remote investors said they wanted exactly that. That world is gone.
Hybrid is now the default, not the exception: investors expect a broadcast-quality stream, live virtual Q&A, a quickly published replay, and increasingly a virtual facility tour, and they judge the virtual and hybrid side of the event by the same standard as the room. Seeing and hearing executives still builds the familiarity and trust that drive investment decisions, but most of that audience now watches through a screen. Audio-only with a static deck quietly tells your most time-constrained investors that they’re second-class attendees, and nothing erodes credibility faster than a feed that drops mid-presentation.
When a dozen contributors assemble a deck with no design discipline, it cannot stand on its own, which is exactly what investors need it to do, often for years. The deck is not a backdrop. It is infrastructure for understanding, and its shelf life runs in years, not days.
This is the most useful and most misread finding in the report. Investors rate video as one of the least important investor day elements – but only because most corporate video at these events is promotional.
The same audience welcomes educational video: a look at a technology or manufacturing process, an operational deep dive, a customer’s voice, a facility most investors will never visit in person. The problem was never video. It was the brief.
Many teams treat the investor day as the finish line. The research frames it as the starting line – the event that should anchor every subsequent quarter of communication.
None of this replaces the strategy work – the perception study, the message alignment, the months of dry runs and Q&A preparation, and the discipline of staying inside Regulation FD under live questioning. It makes the work land.
Corbin’s research predates a shift now reshaping how investors take in your investor day. A human still makes the call. But more and more often, a machine reads first. Institutional investors increasingly run financial disclosures and IR materials through AI tools that surface guidance, detect sentiment shifts, and even scrutinize tone and word choice in executive commentary. The practice isn’t universal, but the investment community is moving decisively from experimentation to adoption, and these agents routinely ingest earnings transcripts, investor presentations, and IR-site analytics.
That adds a second reader to the brief without removing the first. AI systems reward material they can parse cleanly and misread or skip the rest. An image-heavy slide that hides the substance in a voiceover, a chart with no underlying text, a video with no transcript, a PDF with broken structure: each one reads clearly to a person in the room and poorly to the model summarizing your story for a portfolio manager. Notice the irony. The content-rich, self-contained deck investors asked for in 2020 is the same deck the machines can read in 2026.
So the discipline that serves human investors now does double duty. Clear structure, substance on the slide, a transcript attached to every video, and a clean, durable content home all read as quality to a person and as signal to a machine. Your microsite, deck, and transcript are not just an archive. They are the training data for how your equity story gets summarized when no one from your company is in the room to correct it.
Investor audiences do not only evaluate numbers. They also read confidence, coherence, and credibility, and those come through as much in how you present a story as in what it contains. The more complex the business and the higher the stakes, the more discipline the communication system demands.
That’s why we don’t treat the deck, the stage, the webcast, the video, and the microsite as separate assets. They’re connected parts of one investor experience. A confident leader on a clean stage, a deck that reads as clearly on a laptop in Boston as it does in the room, an educational video that earns its place, and a microsite that keeps the story intact for years – those reinforce each other. And in 2026 they have to land twice: once for the people in the room and on the webcast, and once for the AI systems parsing the record afterward. When any one of them is weak, the friction shows up in the Q&A and, eventually, in the rating.
Good investor communications make the story easier to understand, easier to believe, and easier to repeat. An investor day is the rare moment when you control all three at once. It’s worth producing like it.
Before your next investor day, ask one question of every element: will this still hold up six months from now, on a screen, parsed by an analyst’s AI, with no one there to explain it? If the deck can’t stand alone, the webcast looks like an afterthought, or the content disappears the week after, that’s where the ROI leaks out. Fixing it is a production problem, and production problems are solvable.
If you’re mapping out an investor day, roadshow, or analyst day and want the experience to reinforce your thesis rather than undercut it, we’d be glad to talk through how to produce, stream, and archive it.
Investors point to three things: meaningful access to leadership beyond the CEO and CFO, content substantial enough to stand on its own, and a credible long-term view of the strategy. Disciplined planning and execution – including a well-produced webcast and a deck that survives scrutiny – separate best-in-class events from forgettable ones.
Yes. Many investors still value attending in person, but hybrid is now the default rather than the exception. Investors joining remotely expect a live video stream of management with the slides visible, live virtual Q&A, and a quickly published replay. Produce the webcast as a reliable, broadcast-quality experience, not an audio afterthought, because most of your audience now watches through a screen.
Very. In Corbin’s research, 88% of investors rank it as the leading source of company-generated information, and 78% call it Important to Critical to their due diligence – returning to the deck and transcript long after the event. Design it to stand on its own, because it stays relevant for years.
Promotional videos tend to fall flat with investors. Investors welcome educational video – showcasing technology, operations, a process, or a customer’s perspective – especially when it gives remote viewers access to something they couldn’t otherwise see. The format isn’t the issue; the purpose is.
Treat the event as the beginning, not the end. Archive the webcast, deck, and transcript on the IR website or a dedicated microsite – Corbin’s best-in-class benchmark is five years, not the minimum twelve months – and reference the content in ongoing communications so the story stays consistent and easy to repeat.
Two shifts stand out. Hybrid is now the default rather than the exception, so a broadcast-quality webcast with live virtual Q&A is table stakes, not a premium add-on. And investors increasingly run your deck, transcript, and IR page through AI tools as a first pass, which puts a premium on clear structure, substance on the slide, and transcripts attached to every video. The fundamentals investors wanted in 2020 still hold; the audience and the channels around them have widened.
About: Corbin Advisors’ 2020 report argues that investor days are one of the highest-return communication platforms a public company has – but the return only materializes when a company executes the event against a specific set of investor expectations: real transparency, access to leadership beyond the CEO and CFO, content-rich substance, ample Q&A, credible long-term targets, and disciplined planning. Corbin’s data shows a wide gap between what investors want and what most companies deliver, and frames the investor day as the beginning of a communication arc rather than a one-day event.
The Cardboard Spaceship angle: Corbin defines what investors want. We extend it into how you produce it – and we update that 2020 study for 2026. The distance between a “run-of-the-mill” and a best-in-class investor day is increasingly a production and orchestration gap, not just a content gap: the deck that has to stand on its own for five years, the broadcast-quality webcast that hybrid audiences now treat as table stakes, the difference between promotional and educational video, and the digital home where the whole event lives afterward.
Two 2026 realities sharpen the case – hybrid is now the default format, and AI tools read your deck, transcript, and IR page before a human does, rewarding clean structure and penalizing image-heavy, transcript-less content. High-stakes investor moments need a production system, not a vendor patchwork.
Every earnings season produces a fresh round of commentary about whether the traditional earnings call has run its course. This cycle, the conversation centered on Salesforce’s increasingly produced, vodcast-style investor event and what it signals about how public companies should talk to the market.
The question is fair. Formats are shifting. Distribution keeps accelerating. A handful of companies now experiment with everything from pre-recorded presentations to AI-generated executive avatars. But the conclusion that the earnings call is dying misreads who shows up to that call and why.
The sharper question isn’t whether to replace the earnings call. It’s whether your earnings communications strategy does anything meaningful with everything around it.
Edelman Smithfield’s Hunter Stenback and Jordan Fisher make the point plainly: the primary audience for an earnings call is investors and analysts, and during earnings season those audiences process enormous amounts of information in compressed windows. They don’t want a cinematic experience. They want guidance updates, margin commentary, capital allocation clarity, and direct access to management – especially in live Q&A.
IR teams should take that framing seriously. The most valuable signal investors pull from a call often comes from tone: how a CFO handles an unexpected margin question, whether a CEO’s answer on guidance sounds rehearsed or grounded. A heavily produced format works against you here. It creates the impression that management is curating the experience instead of answering the question. Standardized, simultaneous disclosure isn’t a stylistic preference, either – the SEC’s Regulation FD builds it into the format. So no: the quarterly call is not where you deploy cinematic production value. Sophisticated investors notice when a company manages them.
Most analysis stops there. That’s exactly where companies leave the largest opportunity untapped.
Treating the vodcast experiment as a clean break from the past misreads the history. Companies have evolved their earnings processes for years. Netflix, for one, has long run a recorded earnings interview in place of a live management presentation – a format that fits its media-company brand and gives it tighter message control. Salesforce’s produced event is newer and louder, but it sits on the same continuum rather than at the start of a revolution.
Webcasts became standard. Transcripts and replays post almost instantly. Some companies publish shareholder letters that carry more substance than the press release; others collect investor questions online in the week before earnings, a nod to the rising weight of retail shareholders. The distribution changed. The core job of the call did not.
The earnings call is one event in a continuous program, not an island. Most public companies still treat it as a standalone moment, and that habit costs them.
Before the call, the supporting materials carry weight. Earnings presentations, fact sheets, supplemental data packages, and the design of the webcast itself all tell analysts whether a company has its act together. A deck with inconsistent formatting, buried metrics, or a muddled sequence sends a signal management never intended to send.
After the call, the modern opportunity opens up. Executive quotes, key data visualizations, guidance language, and strategic context can travel. Owned channels, social platforms, financial media, and IR microsites carry the story into the days that follow. Companies that distribute well push the earnings message far past the investors who tuned in live.
None of this turns the call into a broadcast. It builds a system where each piece – the prepared remarks, the materials, the Q&A, the post-call distribution – does its job with precision.
One question settles most of these debates. Ask what the audience is doing in the moment.
If the audience updates a model in real time, favor clarity, consistency, and direct access, and keep the format lean. That describes the quarterly earnings call and most routine investor touchpoints.
If the audience forms a durable judgment about strategy, leadership, or credibility, invest in narrative, design, and production. That describes the Investor Day, the pre-IPO roadshow, the M&A announcement, and the crisis response.
Teams that apply this test stop gold-plating the quarterly call and start investing in the moments that actually move how the market values the business.
Ambitious, produced storytelling has a home in investor relations. It just isn’t the quarterly call. It’s the Investor Day.
An Investor Day does a different job. Standardized disclosure isn’t the point; strategic conviction is. Companies use the format to introduce new leadership, reframe a business narrative, walk investors through a multi-year roadmap, or build confidence ahead of a transaction. The audience runs broader, the time horizon runs longer, and the stakes – how the market understands and values the company – run higher.
That’s where Investor Day production earns its place. A well-built Investor Day isn’t spectacle. It’s infrastructure for understanding. Presentation design, the sequencing of management segments, and the quality of the webcast and live and hybrid event experience all shape how investors absorb and retain the story. Done well, they cut cognitive friction, reinforce credibility, and make the narrative easier to believe and repeat. The same logic governs pre-IPO roadshows, strategic announcements, and M&A communications – any moment that asks capital markets to understand something complex, quickly, and with confidence.
We work with public companies and their advisors on exactly these moments: the Investor Days, the roadshows, the strategic events that need more than a conference room and a slide template.
One pattern shows up again and again. The companies that communicate well in capital markets don’t run the biggest production budgets. They treat every piece of the program as connected. The presentation supports the video. The video supports the event. The event feeds the investor microsite. A single CEO video message on strategic priorities can serve the earnings moment, the Investor Day, the annual meeting, and the IR site at once – reusable, not redundant.
Here’s the part most teams underweight: investors don’t only judge what management says. They judge whether the company looks organized, coherent, and worth a multi-year commitment. Sloppy materials and a disjointed digital presence answer that question before a word of guidance lands. Performance will always outweigh production value. But on the right stage, production is what makes performance legible.
Heading into a major earnings period, an Investor Day, or a capital markets transaction? The question worth asking isn’t how do we make the earnings call more interesting. It’s whether the whole program hangs together – the materials, the distribution, the design of the supporting assets, and the quality of the event experience.
Wherever those pieces work against each other, that’s the opportunity. We’re glad to think it through with you. Talk to the team at Cardboard Spaceship.
For most public companies, no. The call’s primary audience – institutional investors and sell-side analysts – values clarity, direct management access, and live Q&A over production. A heavily produced format can suggest that management prioritizes spectacle over substance. Produced investor storytelling belongs at the Investor Day, the roadshow, or a strategic announcement, not the quarterly call.
Focus on what surrounds the call. Invest in cleaner, better-designed earnings presentations and supporting materials, build a distribution plan that carries key messages to owned channels and IR microsites after the call, and treat the earnings moment as one part of a continuous program rather than a one-off event.
Video serves different jobs at different moments. For quarterly earnings, its value stays limited – investors prioritize direct access and live Q&A. For Investor Days, strategic announcements, pre-IPO roadshows, and CEO communications, professionally produced video becomes a durable, reusable asset that extends the story’s reach and reinforces management credibility.
Effective Investor Days combine a clear narrative structure, well-designed presentation materials, a strong webcast and event experience, and a supporting microsite that gives investors easy access to the full story. Each piece reinforces the others. Investors judge not only what management says, but whether the company looks organized, credible, and worth a long-term commitment.
IR microsites act as centralized digital homes for high-stakes communications – Investor Days, proxy contests, M&A announcements, and strategic transactions. They consolidate the webcast replay, the presentation deck, executive bios, FAQs, and a clear call to action in one place, which makes it easier for investors to find the story and stay engaged after the event ends.
This article has been updated to include insight following the Google I/O 2026 event.
Live AI is the highest-risk recurring moment in any major company’s annual calendar today. And almost no one outside a handful of production teams has a clear framework for how to think about it.
Most of the conversation about AI demos focuses on what the AI does. The harder question is how the production around the demo reinforces its value. The old playbook was designed for deterministic software – scripted, rehearsed, locked down. And, simply put, agentic AI doesn’t work that way.
The product is unpredictable. The demo runs once – with the share price moving in real time. The production team can’t fully constrain the output. And the audience is watching with their finger on the share button. Get it right and you reset the equity narrative. Get it wrong and you become the case study in someone else’s analysis.
Google has been the case study before. In February 2023, a single live Bard demo answered one question incorrectly about the James Webb Space Telescope. By the next day’s close, Alphabet had lost roughly $100 billion in market capitalization.
In a few days, Sundar Pichai will walk back on stage at Shoreline Amphitheatre for Google I/O 2026. (The keynote begins at 10:00 AM PT on Tuesday, May 19.) Reports point to a major Gemini model update, a new agentic AI assistant called Gemini Spark, Android 17, and the unveiling of Aluminium OS. Some of these will demo well in a controlled environment. Others will require live, multi-step, agentic AI performance in front of a global audience. Fortunately, the production discipline that distinguishes a credibility-building demo from a market-moving disaster has been developed largely in public, by Google itself, over the past nine years.
And to interpret Google I/O 2026, you have to understand the framework Google has been building since 2018.
For decades, corporate live demos followed a simple production logic. You wrote the script, ran the rehearsals, and planned for what could go wrong. A Salesforce dashboard demo. An iPhone software walkthrough. An Adobe Creative Cloud feature reveal. The product behaved predictably because the demo was, in essence, a high-fidelity rehearsal performed live.
Live AI demos break that model in four specific ways.
Agentic AI works differently. You give the system a goal, and it decides how to get there. The production team can guide the prompt but not the path. How and what the model produces between input and output isn’t fully predictable. That’s both the promise of agentic AI – and the production risk.
Even with the same prompt, the model can produce a different response. Sometimes the difference is small. Sometimes it’s significant. Sometimes the answer is just wrong. Until the demo actually runs in front of the audience, the production team can’t know exactly what the model will say.
aA multi-step AI agent might take 45 to 90 seconds to finish a task. On a live stage, 45 seconds of an AI “thinking” is a production crisis. The audience disengages. The camera has nothing to cut to. The speaker has to fill the silence. A traditional software demo can choreograph every second. An AI demo can’t.
A traditional software demo failure is embarrassing. A live AI demo failure is a stock-moving event. The Bard incident wasn’t a fluke – it was the first clear signal of a new category of risk. Since 2023, more than one AI company has watched its share price move on the strength of a single live demo.
For us, these aren’t quirks to manage. They’re a structurally new production category. And they require a fresh approach.
No company has confronted the live AI demo problem longer or more publicly than Google. The framework isn’t written down anywhere, but it is present in the production decisions Google has made over the past nine years – including the ones it learned the hard way.
Six moments define that evolution.
At I/O 2018, Google played pre-recorded phone calls in which its Duplex AI assistant booked a hair appointment and called a restaurant. Sundar Pichai introduced the recordings as “the Google Assistant actually calling a real salon.” The AI sounded so human, complete with “um” and “uh” verbal tics, that the demo went viral within hours.
Then came the questions, first raised by Axios: why didn’t the businesses identify themselves when they picked up? Why was there no ambient noise? Were these genuine real-world interactions or carefully staged recordings? Google declined to provide the names of the businesses or confirm whether the calls had been edited. The credibility question presented a separate ethics issue: should an AI identify itself as AI when calling a human?
The lesson: When an audience can’t verify whether what they’re seeing is real, the demo creates more doubt than it resolves. Specificity, transparency, and verifiable detail are essential to earning trust and demo credibility.
Google held a small launch event for Bard featuring a promotional clip in which the AI gave a factually incorrect answer about the James Webb Space Telescope. Astronomers noticed within hours. Alphabet shares dropped about 7.7% the following day, erasing roughly $100 billion in market value.
The lesson: Every public AI output is a public statement. Fact-checking demo content isn’t a marketing task – it’s a risk management one.
Google released a six-minute video billed as “Hands-on with Gemini: Interacting with multimodal AI.” It appeared to show the model engaging with images, drawings, and a continuous spoken conversation in real time.
Within 24 hours, Bloomberg’s Parmy Olson reported that the demo had been constructed differently than the video implied: Gemini wasn’t responding to spoken voice or live video at all. Google’s team had fed the model still image frames and text prompts, then added the voice narration afterward in post.
Google’s disclaimer in the video description noted only that “latency has been reduced and outputs have been shortened.” The narrative shifted from “Gemini is remarkable” to “Google misrepresented Gemini.”
The lesson: The line between live demo and marketing video has to be transparent. The credibility hit when an edit gets exposed is worse than the lift from a polished demo.
At I/O 2024, Google unveiled Project Astra – its real-time multimodal assistant – with a deliberate production move that broke from prior patterns. The demo aired as two continuous takes, one on a Pixel phone and one on a prototype pair of smart glasses.
The signal to the audience was clear: Google hadn’t cherry-picked the responses. The model was handling a stream of inputs in real time, rough edges and all. Around that demo, Google also began explicitly labeling other AI segments as recorded or aspirational rather than implying everything was live. The change was subtle in execution but marked a significant milestone. Google had stopped trying to make everything feel live and had started telling the audience exactly what they were watching.
The lesson: Labeling the kind of demo you’re showing is the first rule of demo credibility. The audience will forgive almost any production choice if they know what choice you made.
At I/O 2025, Project Astra moved from research demo to shipping product, powering new experiences in Search Live, the Gemini app, and third-party developer tools. The production decision here was as significant as the engineering one.
Having spent 2024 carefully framing Astra as a live, unscripted experience, Google could now invite the audience to use the same capability themselves. The demo and the product had become indistinguishable, which is the highest form of credibility a live AI demo can earn.
The lesson: When the AI demo eventually becomes a product launch, the production discipline that surrounds it becomes the foundation for long-term trust.
At I/O 2026, Google staged the most agentic-AI-heavy keynote in the event’s history. Gemini Spark – a 24/7 personal AI agent designed to act autonomously across apps, emails, and calendars – was the headline product. Antigravity 2.0 was demoed by showing an operating system that the AI had built from scratch over 12 hours, then demonstrating it running Doom live on stage.
The Samsung XR glasses demos had real-time presenters using the eyewear to ask Gemini where to meet a friend, order coffee with a tip, and capture photos – rough edges visible, no edits. The doctrine held. No demo failures on the scale of Bard 2023. The framing across the keynote was unusually clean: live demos clearly labeled as live, aspirational segments clearly labeled as future-state.
The lesson: When a company builds the framework for nearly a decade, the production framework starts to feel native rather than imposed. But clean execution alone isn’t enough anymore – the audience now expects production to also resolve the strategic questions they walked in with.
That’s nine years of drafting the playbook, paid for in public embarrassment, market cap, and corrective communication. It distills into a single principle: the audience doesn’t need the demo to be perfect – but they need to know exactly what kind of demo they’re watching.
Which brings us to the framework.
Most companies treat a live AI demo as a binary – either it’s live or it isn’t. The actual production reality is a spectrum, and failure in almost every public AI demo controversy comes down to misalignment between which category the audience thought they were watching and which one was actually being staged.
There are five distinct ways to stage a live AI demo. We call them the Demo Modes – a five-category framework for live AI production
rThe AI runs in real time during the event. No pre-staging. No predetermined output. The speaker delivers an input, and the audience watches the response unfold in real time. Highest credibility, highest production risk. The two continuous-take Project Astra demos at I/O 2024 were the clearest recent example of Mode 1 done well.
The AI is running in real time, but inside a controlled environment. The prompts are curated, the use cases are scoped. The model is genuinely working, but the production team has narrowed what it might be asked to do. Mid-high credibility when the framing is transparent, mid risk. Most enterprise software AI demos today are Mode 2 whether the company says so or not.
The AI completed the task minutes or hours before the event. The audience watches the playback of an actual real run – including any imperfections – with the speaker explicitly framing it as such: “We ran this just before walking on stage. Here’s what it produced.” Mid credibility when disclosed, low risk. This mode is dramatically under-used. Done well, it captures most of the trust of a live demo while significantly lowering the risk of failing on stage.
A polished video of the AI performing a task, clearly labeled as recorded. Low credibility for capability claims but high credibility for visual production quality. The Gemini Hands-On video would have qualified as Mode 4 if Google had labeled it that way. The controversy emerged because it wasn’t.
Explicitly framed as “what’s possible,” “what we’re building toward,” or “where this is headed.” It’s a preview of where the product is going – not proof of what it can do today. Lowest credibility for capability claims, but useful for setting vision. Google should have framed the Duplex demo at I/O 2018 this way. Instead it was framed ambiguously enough to read as Mode 1.
The Demo Modes aren’t a ranking. They’re a set of choices. A keynote can deliberately mix categories – Verified Live for the headline demonstration, Constrained Live for the enterprise capability, Pre-flight Live for the agentic workflow, Pre-Recorded for the partner integration, Aspirational for the long-term roadmap.
The discipline isn’t picking the “best” mode. The discipline is making sure the audience knows which one they’re watching.
The framework becomes most useful as a real-time reading tool. Here’s how it applies on Tuesday, May 19.
Reports point to a major Gemini model update at the keynote – whether labeled Gemini 4 or a 3.x successor. The production question is which mode Google chooses for the headline demonstration. Verified Live (Mode 1) would be the most confident move – signaling that Google trusts the new model to perform outside of a controlled environment. Constrained Live (Mode 2) would be the more cautious choice. If Google frames the demo as anything other than Mode 1 or 2, that’s a signal worth noting.
Leaks point to a new agentic AI assistant called Gemini Spark – designed to work autonomously across apps, emails, calendars, and websites. Booking flights. Managing email. Filling out forms. This is the most production-risk kind of demo a company can stage today, because every action links to the next, and a single failure cascades across all points. The production decision is whether to demo Spark’s full workflow live (Mode 1 – high risk, high reward), to scope it tightly (Mode 2 – safer, less impressive), or to compress the experience via Pre-flight Live (Mode 3 – the team runs it just before the event and acknowledges it openly). Watch for the speaker’s framing language at the moment of the reveal. If they say “we ran this just before walking out,” that’s Mode 3 done well. If the demo cuts cleanly between steps without acknowledgment, the production team has chosen polish over transparency.
Every live AI demo at I/O 2026 will have some friction. Latency. A response that lands awkwardly. A model output that’s correct but visually unimpressive. The production decision is whether to absorb that friction visibly (the Astra 2024 approach) or to edit it out (pre-2024 approach). The Astra approach is the more mature move. Watch for it.
I/O 2024 introduced explicit labeling. I/O 2025 refined it. If I/O 2026 makes the live vs. recorded distinction even cleaner – graphics, lower-thirds, verbal framing – that’s Google institutionalizing their framework. If the line blurs again, that’s a regression worth flagging.
The most consequential audience at I/O 2026 isn’t the developers in Shoreline. It’s the institutional investors evaluating Google Cloud’s AI revenue trajectory. Pichai disclosed at Cloud Next 2026 that just over half of 2026 ML compute investment will go to the Cloud business. The Cloud demos at I/O have to translate that capex into a credible product story. Watch how those demos are categorized. Constrained Live with enterprise customer logos as visible validation carries weight. Aspirational framing doesn’t.
Anyone who watches I/O 2026 with the 5 Demo Modes framework in hand will likely walk away from the keynote with a deeper understanding of these products and features than the reader who watches for product news alone.
The 5-Mode framework names the demo categories, but the execution lives in the production decisions that distinguish one category from another. Four of them carry disproportionate weight.
Mode 1 (Verified Live) requires real-time agility. The speaker has to be ready to narrate whatever the model produces – including responses they’ve never seen before. That’s a different kind of prep than walking through a rehearsed click sequence. Pichai’s comfort with live AI moments is a production advantage Google has built over years. Most CEOs aren’t there yet.
Every live AI demo needs a written set of fallbacks: if the model produces a problematic response, what does the speaker say next? If latency drags on, where does the camera cut? If the demo fails entirely, how does the show move on without acknowledging it? The audience never sees the contingency. They only see the recovery. The Bard launch failure wasn’t a demo failure – it was a contingency-planning failure. The factual error was visible in promotional materials before the event. Better fact-checking should have caught it.
When a live AI demo is processing, the camera has to go somewhere. A cut to the speaker carries one signal. A cut to crowd reaction carries another. A cut to a product graphic carries a third. Each choice tells the home audience something different about whether to trust what’s happening. At I/O scale, this requires a director, multiple operators, and pre-planned camera blocking for every demo segment.
Mode 3 demos don’t happen by accident. They require the production team to actually run the demo backstage, capture the output, and have it ready to play back within minutes of the live moment. That’s a second production happening at the same time as the live event. Most companies don’t budget for it. The ones that do have a tool the others don’t.
These decisions aren’t decorative. They’re the difference between a demo that builds credibility and one that costs market cap.
Google I/O 2026 isn’t an isolated event. It’s the first in a three-week window that includes Microsoft Build (June 2–3) and Apple WWDC (June 8–12). All three companies will stage live AI demos. All three will face the same production decisions. And by the end of June, the industry will have its first complete data set for how the leading public AI companies are navigating the new production risk.
And others are watching them closely. Salesforce Dreamforce in September will stage Agentforce demos. Workday, ServiceNow, Adobe, and every major enterprise software company will demo agentic capabilities at investor moments over the next year. The companies that have a clear live AI demo framework will appear more credible than those with technically superior AI but worse production discipline.
That’s the broader implication. When every public company is staging live AI, the production discipline around the demo becomes part of the equity story itself. Not just for the AI labs – for any company whose narrative depends on showing product capability and evolution.
The 5 Demo Modes aren’t a prescription. Different companies, different audiences, different products will call for different combinations. What every company needs is the vocabulary to make those choices on purpose – not by accident.
Google has been learning that vocabulary in public for eight years. The lesson the rest of the industry has yet to fully absorb is that the question isn’t whether to demo live. It’s whether the production team is ready to handle what happens when you do.
The high-wire act is permanent. The model for walking it is still taking shape. Google I/O 2026 is the next big stage.
That’s the work worth investing in. It’s also the work Cardboard Spaceship builds for clients navigating the moments that matter.
Update: This section was added after Google I/O 2026 wrapped to validate our framework against the actual two-day event.
Google I/O 2026 ran from May 19 to May 20. Sundar Pichai walked off the Shoreline Amphitheatre stage having staged the most agentic-AI-heavy keynote in the event’s history – followed by a Developer Keynote that quietly proposed an architectural overhaul of how the web itself works. Here’s how it tracked against the framework, and what the broader industry should take from it.
Varun Mohan, head of Google’s Antigravity platform, demoed agentic coding by showing how Antigravity and Gemini 3.5 Flash together built a functioning operating system from scratch in 12 hours, using less than $1,000 of tokens. The OS was then demonstrated running Doom live on stage.
This was a textbook Mode 3 (Pre-flight Live): the AI did the actual work autonomously in the hours before the event, and the audience saw the genuine output. The catch: Google didn’t visually communicate the Pre-flight Live nature of the demo as clearly as the framework would prescribe. The 12-hour reality was disclosed verbally but compressed into a moment that read closer to Mode 1 in the audience’s mind. The most impressive demo of the keynote and the most under-framed production move – at the same time.
Josh Woodward took the stage to show Spark planning a block party – coordinating schedules, permits, and calendar integrations through tightly scoped prompts on an iPhone. The model worked in real time, the prompts were curated, the use case was defined. This was the right production decision for a brand-new product with broad cross-app permissions.
Spark is genuinely high-risk to demo because every action chains to the next. Constrained Live limits that chain to a deliberate set of steps without sacrificing the live energy.
Real presenters on stage using the glasses to ask Gemini where to meet a friend, order coffee, and capture photos – with rough edges left in. This was the production choice closest to the Astra 2024 approach. The friction wasn’t hidden. The audience saw the model working in real time, sometimes imperfectly, and trusted what they saw more for it.
Demis Hassabis’s “AGI is now on the horizon” framing was explicitly labeled as future-state – not current product. This is exactly how Mode 5 should work. The audience knows they’re being shown a vision, not a capability. No credibility cost. No expectation mismatch.
Day 1 afternoon brought the announcements with the longest-tail production implications: WebMCP, an open web standard for AI agents; Chrome DevTools for agents as a stable 1.0 release; HTML-in-Canvas; Modern Web Guidance; Android CLI; Android Bench. The framing in Google’s own keynote recap: “We’ve transitioned from AI that simply assists you, to agents that can independently navigate complex tasks across your entire workflow.” This is the bet that recasts every live AI demo from this point forward. Every demo is now also a demo of the agentic web thesis – and the production stakes have just compounded.
No demo failures on the scale of Bard 2023, no edited-video controversies, no credibility leaks. The framing across the keynote was unusually clean: live demos clearly labeled as live, aspirational segments clearly labeled as future-state. And yet Alphabet’s stock slid during the keynote. The next morning, BofA reaffirmed Alphabet at a $430 price target, Wells Fargo raised its target to $435, and Morgan Stanley called out the “agentic offerings across commerce, travel and daily life.”
So the picture is nuanced: the demos themselves didn’t fail, but the production didn’t sufficiently answer the question Wall Street walked in with – how AI Mode in Search will be monetized when 93% of those searches already end without an external click. The lesson is sharper than “live demos move markets.” It’s that production decisions are now responsible for resolving the audience’s open questions, not just demonstrating the product. The Bard-era risk was that a live demo could break the equity story. The new risk is that even a clean live demo isn’t enough.
Microsoft Build (June 2–3) and Apple WWDC (June 8–12) will stage their own live AI demos – and their own answers to the agentic web thesis Google just planted. Both companies have learned from Google’s nine-year public arc. By the end of June, the industry will have its first complete data set for how the leading public AI companies are handling not just the production risk of live demos, but the production responsibility of resolving institutional questions in real time.
Watch which Modes they choose. The framework still applies. The stakes just got higher.
That’s the work worth investing in. It’s also the work Cardboard Spaceship builds for clients navigating the moments that matter.
The most consequential moments in modern corporate communications now run on live AI. Whether you’re preparing for an Investor Day, a product launch, a developer event, or an investor moment that includes an agentic demonstration, the production decisions you make now will define how the market reads your capability when the moment arrives.
Let’s start a conversation →
CNN Business: Google shares lose $100 billion after AI chatbot makes error during demo — February 2023
NPR: Google’s AI chatbot, Bard, sparks a $100 billion loss in Alphabet shares — February 2023
TechCrunch: Google’s best Gemini demo was faked — December 2023
Engadget: Google admits that a Gemini AI demo video was staged — December 2023
TechCrunch: Duplex shows Google failing at ethical and creative AI design — May 2018
Axios: What Google isn’t telling us about its AI demo — May 2018
TechCrunch: Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals — May 2024
TechCrunch: Project Astra comes to Google Search, Gemini, and developers — May 2025
Google Blog: Alphabet Q1 2026 earnings remarks — April 2026
Google Blog: Sundar Pichai shares news from Google Cloud Next 2026 — April 2026
Google I/O 2026 Official Site
A production analysis of Your Way Out – and what it proves about the new math of brand trust.
Twenty-seven minutes into the 98th Academy Awards, Coinbase dropped the audience into a video game. A man in a slightly off-kilter suit moves through a city of stiff-walking NPCs. The camera holds high and isometric – locked at the angle of a 2002-era GTA. A yellow cursor tracks him across the frame.
Then he breaks formation.
The world starts to peel. Pixelated textures give way to skin. Mechanical gait gives way to a run. Sammy Davis Jr.’s “I’ve Gotta Be Me” rises as he steps out of the system entirely, into an actual street, surrounded by humans who are unmistakably, gloriously real.
Then a single line:
Your way out of their system.
The spot is sixty seconds. The argument behind it has been building for years.
Here is what makes Your Way Out the most important commercial of 2026: it depicts a synthetic, machine-controlled world, and it does so without using a single frame of CGI or generative AI. The medium is the message. Every craft decision in the film is also a strategic argument.
And Coinbase made sure you knew it.
Coinbase came into 2026 with a brief most agencies would envy and most production teams would dread: two tentpole moments, three months apart, no creative overlap allowed.
February’s Super Bowl spot turned American living rooms into a Backstreet Boys karaoke session, the first major work from Coinbase’s new marketing leadership under CMO Cat Ferdon, VP Creative Joe Staples, and VP Brand Gareth Kay.
Spectacle. Party. National volume.
Then the Oscars window, and a different brief entirely.
“Before talking about features, we think it’s important to give people a reason to care,” Staples told Little Black Book. The Super Bowl was about “making the most of the spectacle and the party,” while The Oscars work needed to be “narrative-driven” and “craft heavy,” to match what’s celebrated at the Academy Awards.
That distinction (spectacle for the Super Bowl, craft for the Oscars) is the strategic foundation. The room treats craft as the entry fee. The work had to earn it.
But it also had to do something harder.
Your Way Out isn’t a spot. It’s the launch of a creative platform – Your Way Out of Their System – designed to carry Coinbase’s repositioning from crypto exchange to path to greater economic freedom across all of 2026. The Oscars film had to function simultaneously as a tentpole hero and as the foundation document for everything that follows.
The broadcast did both. And it landed in the middle of the loudest argument advertising has had with itself in years.
The film’s central metaphor, the NPC, does enormous narrative work in remarkably little time.
Non-playable character, a gaming term turned Gen Z shorthand for anyone moving through life on autopilot. It borrows a cultural artifact most viewers under 35 already know how to read instantly. It smuggles an existential argument inside a familiar joke. And it gives the film a visual language that carries the entire first act without a single line of dialogue
That choice – spending the first 40 seconds of a 60-second spot inside the metaphor rather than introducing the brand – is the move.
Most brand films lose nerve sooner. They cut to the product. They drop the logo. They translate the metaphor into a benefit before the audience has fully entered the world.
That restraint is exactly what allows the metaphor to land without feeling like a sales pitch. The brand earns the close because it didn’t take it early.
The second move is cultural timing. The NPC reference doesn’t just appeal to gamers – it speaks to a deeper anxiety that’s been building through 2025 and 2026 around AI displacement, automation, and what Fortune calls “an ever-gnawing desperation to escape what’s become known as the ‘permanent underclass.'”
Your Way Out doesn’t argue against AI explicitly. It dramatizes the feeling of being trapped in a system that operates without your consent, then offers an exit. The argument lands because it’s already in the room.
Three connected creative decisions:
This is where how it was made becomes the entire conversation.
Director Oscar Hudson, working through MJZ, made the call that reset every department’s job description: shoot it for real. The spot uses minimal VFX (only the cursor arrow chasing the protagonist), plus a few set extensions and miniature comping into bigger sets.
Everything else is real. In-camera. Practical effects.
That single decision changed what each craft specialist had to solve.
Suit details (buttons, lapels, fabric texture) were 2D-printed directly onto fabric to replicate the flat, low-poly look of game characters.
Costumes were weighted to mimic the blocky drape of game-engine cloth simulation, so fabric moved with a slightly artificial physics. Masks bearing the actors’ own faces were reprinted and placed back over their heads, creating an eerie texture-mapping effect that read as low-resolution rendering.
Sets were printed, pixelated, and calibrated against camera distance so the surfaces resolved as game-world textures from the isometric angle.
The shoot took place in Cape Town, where the team spent three weeks preparing sets before a single frame was shot.
Game engines don’t render real shadow physics. The lighting design had to imitate flat, shadowless game lighting without the result reading as bad cinematography.
The production team called it “an unusual and difficult challenge for the gaffer.” That’s underselling it.
Choreographer Maeva Berthelot studied video game animation cycles and trained the cast to walk like NPCs, with arms swinging at unnatural angles and heads turning mechanically. The lead actor was directed to make a gradual, nearly imperceptible transition from game-character motion to organic human motion across the runtime.
This is the most overlooked craft layer in the spot. It is arguably the one carrying the most narrative weight.
The metaphor only works if the audience feels the transition before they see it.
DP Ben Fordesman locked his camera roughly 9 to 10 meters above ground for the majority of the film, building the visual rules of the game world so the break-out had rules to break. A giraffe crane on a flat-bed truck tracked the protagonist at running pace, maintaining the isometric angle in motion.
A custom-built wire-cam executed the moment from game world to real world in a single continuous take.
The camera started high and steady at the isometric position, dropped down as the operator transitioned to handheld, with sparks flying and smoke drifting in. The crew rehearsed height, speed, and timing across multiple takes until the moment landed precisely.
Every department on this production was solving the same backwards problem: how do we use the most analog craft tools available to imitate digital artifacts?
It’s the inverse of how most commercial post pipelines work. And it’s exactly the choice that makes the work mean what it means.
You cannot generate this spot. The fact that you cannot is the entire value proposition.
Trade press picked the work up immediately. Adweek, Ad Age, Campaign US, Little Black Book, Creative Review, SHOOTonline, and others. Mainstream pickup followed in Fortune and Yahoo Finance. The behind-the-scenes content has been circulating in commercial-craft communities for weeks.
But the more interesting impact is what Your Way Out did to the conversation around it.
Creative Review placed Your Way Out directly inside this shift, framing the in-camera decision as “part of a wider focus on craft that is emerging in advertising right now, in part as a backlash to AI.”
That’s accurate — and it’s the frame the industry is starting to operate from.
The platform extension matters here too. Your Way Out of Their System is designed to accumulate cultural weight across 2026 as Coinbase’s product rollouts continue.
The clearest measure of impact, though, is harder to put on a spreadsheet: Your Way Out gave the craft side of the AI argument its most articulate execution to date. Every brand team in a meeting right now deciding whether to commission AI-generated creative has a new counter-example to point at.
Four lessons live inside this work for any brand team or production lead trying to make ambitious commercial work right now.
The deepest strategic move in Your Way Out isn’t the script or the casting or the venue choice. It’s the alignment between what the spot says and how the spot was made.
So, a film about escaping a synthetic, system-controlled world that was, itself, made synthetically would have undercut its own argument before the credits rolled.
The in-camera choice isn’t aesthetic preference – it’s the brand’s position expressed through methodology. When form and thesis align, the work doesn’t have to explain itself. The viewer feels the consistency before they articulate it.
The most important strategic decision on a craft-heavy project is rarely the brief or the budget. It’s the person you trust to carry the concept from treatment to final cut – and hold the line through the noise of production.
Toby Treyer-Evans of Isle of Any was direct on the record: Hudson’s insistence on shooting in-camera “immediately took it up a notch.”
The right director for a craft-heavy brief is rarely the one who can deliver the most options. It is the one with the conviction to close options that would weaken the work, and the technical authority to make the closure feel like generosity rather than restriction.
The most invisible craft layer in Your Way Out is the choreography. It is also the one doing the most narrative work. The transition from game character to human is sold by the protagonist’s gait before it is sold by the picture, the grade, or the score.
Generic casting and direction would have produced a film that looks like the spot but doesn’t feel like it. Specificity in performance design is what makes this kind of work travel.
The lesson isn’t “cast great actors.”
The lesson is: identify the single behavior that proves your case, then build every department around catching it.
This is the lesson the rest of the industry has not yet caught up to.
Coinbase did not just make Your Way Out. They produced a parallel ecosystem of behind-the-scenes content. The Muse by Clios production essay. The Little Black Book deep-craft feature. The YouTube BTS cut. Choreography breakdowns. Costume photography. Set-build documentation.
The proof that the spot was made by humans is now its own marketing asset.
In the AI era, brands aren’t just buying creative anymore. They are buying credibility. And credibility now requires receipts.
The thing to watch is not whether the AI-versus-craft debate gets resolved. It won’t.
The thing to watch is how brands rebuild trust in a world that doesn’t trust what it sees anymore.
Your Way Out points at the answer. The receipts are the asset.
A decade ago, behind-the-scenes content was supplemental. A courtesy for fans, a deliverable to fill out the scope of work. Today it is load-bearing. And when you look at what Coinbase’s BTS ecosystem actually accomplished, the structural shift is clear.
When audiences can’t verify by looking, they verify by witnessing the making. The willingness to spend real money proving you spent real money on human craft is becoming its own brand differentiator. It’s a budget line. It’s a strategic call. It’s increasingly the difference between a brand that earns trust and one that has to keep buying it.
A spot this stylized, in 2026, triggers the same first instinct in every viewer: “Wait, is that AI?” The behind-the-scenes doesn’t just answer the question. It turns the question into a point of brand engagement. The doubt becomes the click.
The spot ran on March 15. The behind-the-scenes coverage is still circulating six weeks later. Each BTS asset, the Muse by Clios essay, the Little Black Book craft feature, the production photography, the choreography breakdowns, generates its own news cycle. One sixty-second hero. Six weeks of compounding press.
Trade press did the heavy lifting. Adweek, Ad Age, Creative Review, SHOOTonline. These aren’t ads. They’re third-party validation Coinbase doesn’t have to buy again. And earned media is the only kind of media most audiences still trust.
When the Muse by Clios essay dropped, it didn’t just circulate among advertising readers. DPs posted the wire-cam transition. Choreographers shared the NPC movement work. Production designers passed around the printed-set photography. Every specialist who shared their behind-the-scenes work and experience extended the campaign into the exact audience that shapes future brand briefs: their peers, their creative directors, their CMOs.
Trade press buys reach. Sharing buys credibility. Coinbase produced the kind of work that earned both.
Every brand currently briefing a craft-led campaign now has to ask the same question: are we producing the proof? Coinbase didn’t just compete on the spot. They re-priced the entry fee for the category.
For most of advertising’s history, the asset was the proof. You saw the spot. You trusted what you saw. You formed an opinion. The making was opaque, and nobody asked.
That contract is beginning to break.
The asset is no longer self-verifying. AI floods every channel with content that sounds confident, looks perfect, and means nothing. Audiences have learned, faster than the industry has, that what they see and what’s true are no longer the same thing.
So brands have to externalize the proof. The validation has to live outside the asset itself.
This isn’t a content trend. It’s a structural change in how brand trust gets manufactured.
Brands that don’t see the shift as structural will keep treating BTS as a deliverable. The brands that win this era will treat it as architecture.
If proof is load-bearing, the implications cascade.
You hire differently. The director who can shoot in-camera is more valuable than the one who can move fast. The choreographer or specialist who carries the invisible production layer is no longer optional. The DP who can be quoted on the work becomes part of the asset.
You budget differently. BTS becomes a line item with its own creative direction, its own production schedule, its own distribution plan. Not capture-of-opportunity during principal photography. A second campaign running in parallel.
You brief differently. The choices that prove the production value get scoped at the front of the project, not discovered at the end. You design the proof layer with the same rigor you design the asset.
You measure differently. Six weeks of trade press coverage is brand value. Sharing across creative communities is brand value. Industry benchmark-setting is brand value. None of it shows up in standard attribution models. All of it shows up in the next pitch.
Coinbase made a sixty-second commercial about escaping systems that operate without your consent. They made it without using systems that operate without your consent. And then they showed you exactly how it happened.
That’s brand strategy expressed through methodology – and it’s the kind of thinking that shapes how we build every production at Cardboard Spaceship.
Coinbase’s Your Way Out directed by Oscar Hudson via MJZ. Aired during the 98th Academy Awards broadcast, March 15, 2026.
Cardboard Spaceship is a creative agency specializing in commercial video production, event production, and full-service design for brands navigating the moments that matter.
OpenAI and Anthropic haven’t filed for an IPO. But the production architecture of their eventual roadshows is already taking shape – in plain view, if you know what to look for.
DevDay 2025 looked like a developer conference. The 45-minute fireside chat between Sam Altman and Jony Ive, Apple’s former Chief Design Officer, looked like something else. To us, it played as a moment built for the institutional investors who would parse it on YouTube the next morning. Hardware ambition. Design pedigree. A three-year collaboration framed as a thesis paragraph for a future S-1.
From a production lens, that fireside reads less like a developer feature – and more like a cap-table signal.
The same pattern is playing out across the AI sector. Anthropic launched Code with Claude in May 2025 and expanded it across San Francisco, London, Tokyo, and Washington, D.C. The tour read as measured and technically rigorous, less like dev relations and more like the discipline of a public company running its narrative arc.
Audience composition appears to have shifted as well. The staging looks heavier. And the production decisions; line-of-sight blocking, fireside choreography, demo handoff timing, partner sequencing – increasingly resemble the staged moments a public company runs the year before it files.
We’re not predicting IPO timing. But we are saying the rehearsal is happening in plain view, and the production choices these labs are making now are the same ones every IPO candidate makes when they want institutional money to recognize them on sight.
The class of 2024–2026 – Reddit, CoreWeave, Klaviyo, Rippling – gave us a fresh dataset on which roadshow production decisions land and which don’t. Read that dataset alongside what’s happening at DevDay and Code with Claude, and the playbook for the next mega-IPO begins to write itself.
Here’s what we’re seeing.
Most coverage of DevDay 2025 focused on the announcements: GPT-5 Pro and Sora 2 in the API, ChatGPT Apps with Zillow, Booking.com, Target, Figma, Expedia, Uber, Instacart, OpenTable, DoorDash, and Peloton. AgentKit for autonomous workflows. Codex Slack integration.
The product news is the obvious headline. The interesting questions are about what the staging communicates.
At events of this scale, production choices rarely feel decorative. Instead, they tend to be directional. In our experience, every decision (who shares a stage, what experiences attendees walk through, which conversations linger in the memory) functions as a deliberate signal; first to the room, then to the much larger audience that catches clips, photos, and analyst recaps for weeks afterward. The question isn’t whether OpenAI staged DevDay 2025 carefully. It’s what the staging reveals about the story they want to tell.
Three production choices stand out.
When Altman sat down with Jony Ive, the staging seemed to communicate something specific to the financial world: this isn’t just a software company.
There’s hardware ambition, design pedigree, and a partner whose work shaped the iPhone, iMac, and Apple Watch. The chat felt unscripted enough to seem intimate, and structured enough to land its key points. Ive said his creative team’s purpose “became clear” with the launch of ChatGPT. Altman framed the collaboration as a three-year arc.
For developers, that’s a curiosity. For institutional investors evaluating whether OpenAI commands a hardware-software stack story, that plays as a thesis paragraph. Worth noting: the conversation wasn’t even livestreamed. It went up on YouTube hours later. To us, that distribution choice reads as confidence. The most consequential moment of the day didn’t need to compete for live attention.
A “cozy mini-theater with popcorn” featuring AI-generated short films sounds like a fun side-activation. Look closer. It’s a positioning argument. Sora moved from research preview to API offering at this event – a defining moment of value that extended far beyond a product demo.
The mini-theater turned attendees into an audience, not testers. Watching AI-generated film with popcorn in hand frames Sora as cinema. Watching it on a laptop frames it as a tool. The production choice tells the market which one OpenAI wants Sora to be.
That’s the same staging logic Reddit used in 2024 when it leaned into community as the equity story rather than DAU metrics. The product becomes the experience. The experience becomes the narrative.
The DevDay 2025 lineup looks deliberately chosen.
Each speaker delivered real content, and each one provided OpenAI with powerful, specific validation.
Stitched together, these three choices read as a single argument: this is a company with consumer scale, hardware ambition, and ecosystem depth. Whenever OpenAI eventually files, the components of the equity story are already on stage and evolving right in front of us.
Anthropic took a notably different production approach. Code with Claude launched in May 2025 as a single-day, hands-on conference at The Midway in San Francisco, then expanded into a multi-city series across San Francisco, London, Tokyo, and Washington, D.C. Where DevDay leans into spectacle, Code with Claude leans into rigor. Three choices stand out.
OpenAI sold $650 in-person tickets to anyone who clicked. Anthropic took applications and curated the room. To us, that’s a meaningful production decision.
Curating the audience signals to the financial world that the company controls who sees its developer relationship up close. It also implicitly positions Claude as a premium tool for serious builders rather than a consumer phenomenon.
For institutional investors evaluating where Anthropic sits in the AI stack, the application gate is exactly the kind of credibility signal that filters retail froth out of the room. That’s a strategic choice.
The decision to expand from a single SF event into a four-city tour mirrors how a public-company roadshow actually moves: deliberate geographic coverage, repeat performance discipline, the same narrative delivered to different markets.
To our eye, that’s not a developer marketing choice. That’s the rehearsal of an institutional travel pattern. Anthropic ran the SF, London, Tokyo, and DC sequence in 2025 and is following with additional cities in 2026.
The geography choice is itself a story. London for European enterprise. Tokyo for the kind of legitimacy that only comes from showing up in Asia’s most established tech and finance market. DC for policy and regulatory presence. Each city carries a specific part of the narrative to a specific audience.
AWS hosted official Code with Claude watch parties as satellite events. Most coverage treated this as a technical convenience. To us, it reads differently.
Look at it from a production standpoint: a major cloud hyperscaler is volunteering its physical and digital infrastructure to extend the reach of an Anthropic-branded event. AWS is Anthropic’s largest cloud distributor and a strategic investor with billions committed to the partnership. By hosting watch parties, AWS publicly performs that alliance – turning a developer event into a visible signal of institutional backing.
That’s the kind of credibility and distribution muscle most pre-IPO companies have to pay for. Anthropic has it built in.
Where OpenAI’s staging emphasizes scope and consumer reach, Anthropic’s emphasizes curatorial access, depth, and enterprise readiness. The cap-table signal differs accordingly. OpenAI seems to be telegraphing a story about scale, hardware, and platform breadth. Anthropic seems to be telegraphing a story about discipline, enterprise traction, and infrastructure partnerships. Both are legitimate pre-IPO postures. They simply imply different equity stories – and likely different institutional investor profiles when the filings eventually land.
To know what the AI labs are rehearsing, look at the recent IPO class. Four roadshows in particular produced distinct production case studies.
Reddit gave away 8% of its IPO to its users. 1.76 million shares allocated to 75,000 of its most active Redditors and moderators. Karma score decided who qualified. No lock-up period.
It was an unusual move and a deliberate one. Reddit’s equity story depended on community. A slide deck couldn’t tell that story; allocating real shares to real users could. Steve Huffman didn’t have to argue that Reddit had a unique relationship with its users. The directed share program was the argument.
The lesson: when your story depends on community, your investor day staging has to make the community visible, not just cite it in the deck. Reddit priced at $34 and opened at $47, a 38% first-day pop. The S-1 flagged real risk in the structure (no lock-up could amplify volatility, and some Redditors actively organized against the IPO), and the narrative architecture worked anyway. Users-as-shareholders is now an established roadshow technique that Uber, Airbnb, and Cava had used in lighter form.
CoreWeave downsized its IPO from $2.7 billion to $1.5 billion the day before launch. Institutional demand had softened. NVIDIA reportedly stepped in with a $250 million anchor purchase to get the deal across the line. CoreWeave priced at $40 on March 28, 2025, and the first day of trading closed flat.
The roadshow ran into a recognizable problem. The pitch was infrastructure-heavy and visually abstract: GPU capacity, liquid cooling, Kubernetes-native architecture, 250,000 GPUs across 32 data centers. All accurate. None of it tangible to a public-market investor who has never set foot in a data center.
The lesson: data center stories need physicality on stage. Slides and spreadsheets make “AI infrastructure” sound like a commodity. The tools that turn an abstract category into an investable thesis (data hall walkthroughs, rack density comparisons, heat-and-power math made visual) only work when the production team builds them in. CoreWeave eventually went on a 250%+ tear post-IPO once the market understood the story. The challenge wasn’t the company. It was the translation of the narrative – both visually and experientially.
Klaviyo was the first SaaS IPO in nearly two years. The market was frozen. Marketing automation isn’t a category that excites public-market investors. CEO Andrew Bialecki later called it an “IPO winter.”
So Klaviyo led with the founder. Bootstrapped origin. MIT-trained engineer. $100M strategic investment from Shopify. 119% net dollar retention. 51% YoY growth. GAAP profitability. Rule of 75 metrics. Bialecki himself became the narrative spine of the roadshow.
The lesson: when the product is unsexy, the founder narrative carries the staging, and that requires founder coaching, not slide design. Bialecki had to learn how to be the equity story in real time, in dozens of one-on-one institutional meetings, with no fireside chat to lean on. That’s a different production discipline than a celebrity CEO event. It’s intimate. It’s repetitive. It requires the founder to deliver the same emotional beats with freshness on the fortieth pitch. Klaviyo priced at $30, raised $576 million at a $9.2 billion valuation, and opened with a 23% first-day pop. The market recognized a credible operator, not just a magnetic personality.
In February 2026, Rippling aired a Super Bowl ad. Not because it was selling HR software to households. Because the company is making itself a household name before it asks public-market investors to recognize it.
Rippling hasn’t filed an S-1. CEO Parker Conrad has said publicly that an IPO isn’t imminent. Yet the production preparation is unmistakable. Rippling raised a $450 million Series G at a $16.8 billion valuation in May 2025. Annual revenue reached $570 million in February 2026, growing over 30% YoY with net revenue retention approaching 200%. The Super Bowl ad slot ran around $7 million.
Layer in the Deel lawsuit subplot. Rippling sued its largest competitor in March 2025 alleging corporate espionage; Deel countersued in April. The result is a roadshow narrative-in-waiting with built-in tension, competitive stakes, and a story arc the market is already following.
The lesson, even before the S-1 lands: the best roadshows aren’t built starting at the prospectus filing. They’re built years earlier, through brand investment, narrative seeding, and earned-media architecture. By the time Conrad walks into his first investor meeting, the story will already be partly told. Watch how the roadshow handles the Deel feud, whether it’s foregrounded as competitive moat or treated as backdrop noise. That choice will tell you everything about how Rippling has rehearsed its public-company identity.
Map the four cases onto OpenAI and Anthropic, and the patterns start to line up.
To us, the interesting observation isn’t that these labs will eventually IPO. It’s that the production preparation for that moment appears to be happening on the stages we’re already watching. DevDay and Code with Claude read as public dress rehearsals. The audience swap-out (developers in 2025, institutional investors in 202?) is mostly a matter of who’s in the room. The staging architecture is portable.
OpenAI’s ChatGPT has reached 800 million weekly active users (as Altman announced at DevDay 2025). The pre-IPO question is whether any of those users become shareholders. SpaceX just precedent-set the retail allocation question with its 30% retail target. DevDay’s Apps SDK announcement, which lets users chat directly with apps from Booking.com, Zillow, Target, Figma, and others, is the technical precondition for a community-visibility play at IPO. OpenAI is staging the infrastructure now.
Both labs face the data-center-economics problem. Both are spending tens of billions on compute. Both have the same risk: investors hearing “infrastructure” and pricing it as commodity capex. Sora Cinema was a small move in the opposite direction, making AI compute feel like a consumer experience rather than a balance-sheet item. Anthropic’s API-and-MCP focus at Code with Claude is the more enterprise-coded version of the same instinct. Whoever IPOs first will need a tangibility moment in their roadshow that CoreWeave didn’t quite execute.
Sam Altman is on stage all the time, but a roadshow is a different production challenge: dozens of intimate institutional meetings, repeated questions, no audience. Dario Amodei rarely takes that kind of stage. Both will need to develop the discipline of delivering the same narrative architecture, freshly, to room after room, for two weeks straight. That work happens long before the S-1.
This is where the AI labs appear most clearly to be rehearsing. The Sam Altman / Jony Ive partnership reads as brand seeding. Anthropic’s policy presence in Washington reads as brand seeding. Code with Claude’s multi-city expansion reads as brand seeding. None of it is sales activity. To our eye, much of it functions as roadshow preparation by other names.
The combined effect: the AI labs appear to be running all four production patterns at once, with bigger budgets and longer runway than any of their predecessors. By the time the S-1s eventually land, their production foundations will be deeper and more multi-dimensional than anything Reddit, CoreWeave, or Klaviyo had the runway to build.
If you’re a head of IR, head of corporate comms, or growth-stage CFO watching this rehearsal play out, here’s the framework outlined by these events:
Who’s in the room, and visibly in the room, is itself the equity story. The presence of an a16z partner on a developer stage doesn’t communicate the same thing as a developer relations engineer.
Every roadshow needs a single staged conversation that conveys narrative information no slide can. For OpenAI it’s Altman + Ive. For Reddit it was the moderator share program. For Klaviyo it was the founder’s bootstrapped credibility. Find yours.
If your story includes infrastructure, capacity, scale, or technical depth, design at least one production moment that translates the abstraction into an embodied experience. CoreWeave’s roadshow under-indexed on this. Sora Cinema was a low-stakes attempt to learn the lesson early.
Every speaker on your stage represents a category of validation: customer voices, partner voices, investor voices, civic voices. Choose the mix to match the equity story you’re telling, not just the agenda you’re filling.
Roadshows happen in conference rooms with twenty institutional investors at a time. The founder who’s brilliant on stage isn’t automatically brilliant in that room. Different muscle. Develop it years in advance.
Rippling’s Super Bowl ad. OpenAI’s Apps SDK partner announcements. Anthropic’s policy and developer presence. The roadshow doesn’t begin at the filing date. It begins the moment institutional investors first start hearing your name in unscripted contexts.
DevDay’s keynote streamed live. The Altman + Ive fireside didn’t, but went up on YouTube the same day. That sequencing is deliberate. Live serves urgency; on-demand serves reach. Design both.
When the AI labs eventually file, every staging choice they’re making now becomes part of the institutional case file investors use to evaluate them. The rehearsal is the record.
The bright line between “developer event” and “investor day” appears to be dissolving.
This isn’t unique to the AI sector. To us, it reads as an ongoing structural shift. Companies with consumer scale, enterprise depth, and platform ambition can’t run their pre-IPO communications through a single channel anymore. The audience for an IPO is now a constellation: institutional investors, retail allocations, developer ecosystems, enterprise buyers, regulators, partners, employee shareholders, and a financial press taking cues from social platforms. Every staged moment a company runs in the years before filing reaches some subset of all of them.
That makes production more strategic, not less. The companies that stage their developer events with the audience composition of an Investor Day in mind, that invest in their brand before the prospectus, and that coach their founders for both the keynote and the conference room, should have an enormous advantage over companies that wait until the S-1 to start thinking about narrative.
The rehearsal is the production. By the time the S-1 hits, the show is already running.
That’s the work worth investing in. It’s also the work Cardboard Spaceship builds for clients navigating the moments that matter.
The next generation of IPO roadshows won’t start at the S-1 filing. They’ll start years earlier, in the staged moments that quietly build institutional recognition. Whether you’re preparing for an Investor Day or the long lead-up to a future filing, the production decisions you’re making now will define how the market responds when the moment arrives. Let’s start a conversation →
Nine days from now, Greg Abel will walk onto a stage Warren Buffett owned for six decades.
It’s the Berkshire Hathaway 2026 annual meeting, and for 60 years, it’s unapologetically followed the same format. 40,000 people will file into the CHI Health Center in Omaha, Nebraska. They’ll take their seats in the same arena. They’ll hear CNBC’s Becky Quick introduce the Q&A session. They’ll see the Berkshire logo on the stage.
But this time, Buffett will be ten feet away. In the front row. Silent by his own public declaration.
The Berkshire Hathaway 2026 annual meeting would already be one of the most watched corporate events of the year on that fact alone. But something more interesting is already in motion. Abel has quietly restructured the format, and he hasn’t said a word yet.
For 60 years, this meeting had one production element worth analyzing: Warren Buffett in a chair for five hours. Everything else was deliberate absence. No slides. No teleprompter. No walk-on music. Just a microphone, a can of Cherry Coke, and the accumulated wisdom of the most successful investing career in history.
The anti-production was the production. The simplicity communicated respect for investor intelligence. The marathon length signaled nothing to hide. The solo performance said one person is accountable for everything. Those choices built the “Woodstock for Capitalists” – the only corporate event in the world that reliably draws 40,000 people to Omaha.
And Abel has redesigned all of it.
Two Q&A panels instead of one marathon. New voices on stage – Ajit Jain (insurance), Katie Farmer (BNSF), Adam Johnson (consumer products). The traditional open Q&A intact in spirit, restructured in execution.
That change isn’t cosmetic. It’s the succession narrative made physical. And it happened before Abel ever stepped up to the microphone.
The question is whether it works.
No CEO has ever inherited a corporate event this consequential. 40,000 shareholders. Global webcast in English and Mandarin. Buffett in the front row. A $380 billion cash position on the balance sheet.
When Buffett announced his retirement at last year’s meeting, the standing ovation lasted minutes. The question had already shifted from “when will Buffett step down?” to “what does Berkshire look like without him?”
May 2 is when the market gets its first real answer.
We’ve been in enough high-stakes investor rooms to know what’s at play. Here are five production and narrative challenges Abel’s team will need to navigate on May 2, and our predictions for how each one plays out.
This is the most loaded staging decision of the entire event.
Buffett sitting among the directors, visible but silent, is an extraordinarily powerful visual. It’s a living endorsement of the transition. It says: I trust this. I’m here. But it’s his turn now.
It also creates a gravitational pull the production team will need to manage carefully:
Our prediction: the webcast production will show Buffett briefly at the opening, then keep the focus firmly on the stage for the rest of the event.
The discipline is in resisting the reaction shot. Every time the camera cuts to Buffett instead of Abel, the narrative slides backward. The production team needs to treat the front row as context, not content.
There’s a subtler challenge too. Buffett’s physical presence in the room will hold an emotional weight no amount of production design can fully manage. Some shareholders will spend the entire meeting watching him, not the stage. That’s human nature, and the event can’t prevent it. But it can refuse to feed it.
The traditional Berkshire Hathaway annual meeting format was beautifully simple.
One person. One chair. Five hours.
Questions from the audience, answered in real time, with no filter and no limit. That simplicity wasn’t an accident. It was Berkshire’s brand made physical. Transparency. Directness. Trust.
Abel has restructured the format into two distinct Q&A panels:
The format change is, essentially, a narrative statement about where Berkshire’s value lives now. Buffett’s solo format said the value was in one chair – in one person’s judgment and ability to allocate capital. Abel’s panel format says something different. The value is in the operating leaders:
The quality of the people running the pieces, not just the person orchestrating the whole.
Our prediction: institutional investors will read this format change correctly; as a signal that Berkshire under Abel will be more operationally transparent, more team-driven, and less dependent on the mystique of a single decision-maker.
Some longtime retail shareholders may experience it as a loss. Both reactions are valid with a legacy of this magnitude.
There’s no polite way to say this: Warren Buffett was one of the great entertainers in corporate history.
His annual meeting performances were legendary not just for their financial insight, but for their warmth, their humor, their stories. He’d spend 10 minutes on a single question, reference a deal from 1967, make a joke about See’s Candies that somehow also explained capital allocation theory.
Abel won’t do that. And he shouldn’t try.
What Abel brings is different:
The production challenge is real. Forty thousand people in an arena that are accustomed to being entertained and educated simultaneously. Abel will educate, but education alone has to hold a room of that size for hours.
Our prediction: Abel’s answers will be tighter, more operational, less philosophical.
The Q&A sessions will feel shorter even if they run the same length, because the pacing will be steadier and the digressions fewer. Some attendees will call it “refreshing.” Others will call it “less fun.” Both are probably right.
The production team can help:
Berkshire is sitting on roughly $380 billion in cash and short-term investments. It’s the elephant in the room within every conversation about Abel’s leadership. And it will be the first hard question he faces on May 2.
Some version of “what are you going to do with the money?” will come early, probably from Becky Quick, who knows it’s the question on every shareholder’s mind. How Abel handles it will set the tone for his entire tenure.
The trap: over-promise.
Buffett spent decades preaching patience on capital allocation, and the market rewarded him for it. Abel needs to earn that same credibility, which means his first instinct on May 2 should be patience, not action.
Our prediction: Abel will acknowledge the cash position directly, reaffirm the discipline of waiting for the right opportunity at the right price, and resist the temptation to hint at anything specific.
The smartest answer is some version of “we have the capital to be decisive when the moment is right, and the discipline to wait until it is.” It’s not the answer that generates headlines. It’s the answer that builds trust.
This is the question nobody on stage will ask, but everyone in the room will be thinking about.
Forty thousand people came to Omaha because of Warren Buffett. The weekend around the meeting was built around his presence:
The “Woodstock for Capitalists” brand was inseparable from its headliner.
So what happens in 2027?
The 2026 meeting is the transition year. Attendance will likely hold. People want to see the first post-Buffett meeting, and many shareholders already have the trip booked.
But the real indicator isn’t 2026 attendance. It’s 2027.
If the numbers hold, the event has successfully become bigger than its founder. If they drop significantly, the market learns that the “Woodstock for Capitalists” was always more about the capitalist than the Woodstock.
Our prediction: Abel’s team knows this.
The format changes (multiple panelists, operational depth, visible bench strength) are designed for 2027 just as much as 2026. They’re building a format that doesn’t rely on one person’s magnetism to draw a crowd. Whether it works is the test that runs beyond May 2.
There’s a reason Buffett’s performances became legendary beyond the financial world.
He was one of the great entertainers in corporate history. His annual meeting set piece: spend 10 minutes on a single question, reference a deal from 1967, make a joke about See’s Candies that somehow also explained capital allocation theory. The audience stayed because he was teaching them something AND because he was fun to listen to.
Abel can’t replicate that. He also shouldn’t.
Buffett traded in folksy wisdom from the Oracle of Omaha. Abel trades in operational rigor – a CEO who has actually run the businesses he’s discussing. Different brand of credibility, not a diminished one.
The production team can amplify what Abel brings naturally:
Abel’s job on May 2 isn’t to answer any single question brilliantly. It’s to establish that the meeting still feels like Berkshire in his voice – honest, direct, unhurried – without requiring Buffett’s ghost in the room to make it work.
Katie Farmer runs BNSF Railway, one of the largest freight operators in North America and one of Berkshire’s most important businesses.
Most retail shareholders wouldn’t recognize her name. She’s never been a featured speaker at the annual meeting. In the Buffett era, she didn’t need to be.
Now she’s on stage. So is Adam Johnson from NetJets and consumer products. So is Ajit Jain from insurance.
The meeting does something it has never done before: puts operating leaders in front of the audience, answering real-time questions about what they actually run:
Shareholders spend every year reading about BNSF in the annual letter. Having Farmer field questions live is a different kind of signal – the business has a visible leader who can speak to operations at the level of detail institutional investors want.
Add Johnson and Jain to that picture, and the company presents itself as what it actually is: a collection of well-run businesses with deep bench strength, not a portfolio that only makes sense in one person’s head.
For any company navigating a leadership transition, there’s a production principle worth studying here. Don’t announce that you have great leaders. Put them on stage and let the audience see for themselves.
Berkshire’s 2026 meeting is the most visible example of a challenge every company eventually faces.
The founder steps back. The iconic CEO retires. The person who is the brand moves off the stage. And the event that was built around them has to keep working.
Here’s what we’d tell any company in that position.
Abel isn’t trying to be Buffett, and the format isn’t trying to recreate the solo marathon. The worst thing a successor can do is imitate the predecessor’s style.
The audience will spot it instantly, and it reads as insecurity, not continuity. Find the new leader’s authentic strengths and design the format around those.
Bringing operating leaders on stage communicates depth, reduces key-person risk perception, and gives the audience multiple points of connection with the company. If your event previously depended on one magnetic speaker, widening the stage is how you build a format that outlasts any individual.
The audience needs a moment to honor what came before. Then they need the event to move forward with confidence.
Lingering on the transition (spending too long on tributes, too many backward-looking references) signals that the company is more attached to its past than its future. A brief, genuine acknowledgment followed by decisive forward motion is the right balance.
Abel kept the Q&A. He didn’t add slides. He didn’t add video. He kept the thing that makes Berkshire’s meeting fundamentally different from every other shareholder meeting on Earth: the willingness to answer whatever shareholders want to ask, in real time, with no filter.
That format choice is the message. It says: we’re still Berkshire.
The 2026 meeting will get great attendance because of the transition itself. Everyone wants to see the first post-Buffett meeting.
The real test is Berkshire Hathaway 2027. Whether the format, the new voices, and the new identity can sustain the event on their own merit. Plan for the second year, not just the first.
On May 2, the most important signals won’t come from the stage.
They’ll come from the room:
And the question that hovers over all of it: does the room still feel like Berkshire?
That feeling (the sense of belonging to something, the connection between a company and its owners, the trust that what you’re hearing is the unvarnished truth) is what made the “Woodstock for Capitalists” something more than a shareholder meeting.
That quality was Buffett’s greatest production achievement. Not the jokes or the stories or the Cherry Coke.
The trust. The sense that this company respects you enough to sit in a chair and answer your questions for five hours.
Abel can’t inherit that trust. He has to earn it.
And May 2 is when the earning starts.
The format is set. The panels are announced. Becky Quick has the questions. Buffett has his seat in the front row. Forty thousand people have their tickets.
The rest is live.
We’ll be watching. For the production choices, the narrative architecture, and the moments that tell us whether the most iconic corporate event in history just found its second act.
Every analyst walks in with questions. The most effective events answer them before they’re asked, through narrative architecture, experiential production, and financial precision that earns the room’s conviction. Let’s start a conversation →
