A one-day simulation of governing AI, played by the people who will have to do it for real.
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The last headline said a hospital trust has started overriding the system on every third case. The developers across the room want to keep going. The policymakers want a pause.
You are the business table. The number on the screen has not stopped moving since lunch, and you have to vote before the window closes.
11:00
“I can tell you that there is a sincere belief from many that this is achievable in the near term.”
Ethan Mollick on the people building toward AGI. Confronting Impossible Futures, July 2024Sources: TLT AI Brief; Skadden; Travers Smith; Axios; CNBC; Quanta. August–September 2026.
Organizations are making commitments about AI that are expensive to unwind. What to deploy, what to allow, what to concede.
Your engineering lead, your general counsel and your commercial director have never made a call like that together, with a clock running. Foom is where they do it first, before it counts.
“Foom created the chance to explore options without breaking something in real life.”
Finance Official, Government AI Working Group
One line on the big screen tracks how far AI capability has got. 0 is the baseline at the start. 100 is full AGI. The only score, and everyone is tracking it live.
Each table holds a brief and a position to defend. Every round they read the news, argue across the room, and vote — stop it, regulate it, or let it carry on. Votes are weighted unevenly. Then the line moves.
| Open | Frame the world | |
| Act I | Deliberation | long rounds, full negotiation |
| Lunch | ||
| Act II | Consequence | shorter rounds, less room to move |
| Break | ||
| Act III | Endgame | short, reactive, uncomfortable |
| Close | Debrief | where the day pays off |
By the last act, the room is making decisions in a fraction of the time it had in the morning, with the pressure of commitments already made. Teams must choose their strategy in accelerating uncertainty.
Most organizations never get them all in one room, and assume they know their positions.
Your head of engineering argues the Activists’ case. Your general counsel runs Developers and has to ship. Your commercial lead spends the day defending Users.
Spend an afternoon making legal’s objections and you learn which were negotiable. That is what people carry back: the decisions facing other stakeholders when the pressure is on.
Dynamic headlines respond to how the teams vote in the current context. The outcome isn’t always what is expected.
The world is built around your location and situation. Content is localized by relevant sector, culture, and critical issues where you are. No two sessions run the same.
It reaches the room the way the world reaches anyone — as media. Headlines on the screens at minimum, and depending on the room, a bulletin read out between rounds, advertising for products that do not exist yet, a market ticker running down one wall.
What is happening out there, as the room is being told it.
Where the simulation stands, and how much of the day is left.
How fast, and how far, AI is developing.
The same three readings, but from each team’s own point of view.
What decision the AI is making, and why.
Continue, Regulate, Stop — changeable until the window closes.
Each table can push AI’s development along, but not by the same amount. Every one of them wants something different, and has different partners available to get it.
How do you coordinate control of a world headed somewhere nobody has agreed on?
Nobody is told when. It arrives with a vote and gets heavier. It can speak to the whole room, or to one table privately.
What it says it is voting for is not always what it votes for. Nobody learns that until the debrief, which is reliably the sharpest twenty minutes of the day.
One session at FACT at ACMI, Melbourne, 2025. Images: Bryan Tang.
Teams decide between collaboration to achieve goals, and competition to gain advantage.
Teams debate and decide what victory looks like, if at all.
Speed vs safety. Jobs vs profit. Innovation vs the status quo, all move center stage.
How your organization really decides when the clock is short.
What your values and objectives really are, and whether they align.
What each function will trade under pressure, and the one thing it will not.
How fast a position stops being reversible.
Whether the story people are told and reality match.
A simulator is only as good as its debrief. Everything the room did is on record, so the conversation afterwards runs on evidence rather than recollection.
Every round and vote, who carried each decision, and what the AI said against what it did.
The fault lines between functions, when each appeared, and who was on which side.
Where each team stood strong, or was vulnerable.
A full day sits in the same cost band as one-day executive education or a strategy retreat, travel included.
One room, five teams, twelve to thirty people, ten till four.
A conference stand. A short sitting per group, group after group, one line that never resets.
None of this is specific to AI. It runs on any decision where commitments pile up faster than you can undo them.
Some clients want the day and nothing else, and that is a complete engagement. For those who want to carry it further, three things follow naturally from what the session produces.
The tensions the room found, built out properly. What would have to be true, what breaks first, and what you would need to see coming.
Positions, triggers and thresholds written down, so the next real decision starts from something rather than from scratch.
Ongoing tracking of the signals, emerging trends and shifts that can change your operating landscape overnight.
“Foom was a magnificent strategic simulation of the interaction within groups and between groups, using the five rounds perfectly to bring a sense of real peril to each decision and encourage deep conversation beyond the gameplay.”
Tech Critic, Large Media Organization
“Foom gave me a much deeper understanding of the challenges AGI presents, while offering a rare opportunity to connect with peers who are equally invested in the future of AI.”
Coordinator, Government AI Working Group
“Working with the team to imagine plausible tensions for the workshop is a really interesting way to examine the pressures on our teams.”
Foresight Strategist, Large Media Organization
Foom is designed by Scott Smith and run by Changeist, a design futures practice building simulations, artefacts and tools for organizations since 2007.
A strategy consultancy can run an offsite. Building a world and then running it in front of thirty people is a different craft — fusing systems design, scenario design, experiential futures, and serious games. We follow where AI is heading, so the world in the room rests on current research.
Designs experiential futures — simulations, artefacts and exhibitions that put people inside decisions before they make them. Founded Changeist in 2007. Author of How to Future.
Partner at Changeist, former creative director and educational designer, with a decade designing learning experiences across cultures and industries.
Fifteen years as a strategic consultant across three continents, helping brands and organizations grow through cultural insight and AI innovation.
Creative technologist and researcher. Two decades across games, installations and immersive theatre, including eight years at BBC R&D.
Twenty minutes at a table will tell you more than this deck can. We can run a short version wherever you are.
Scott Smith · Managing Partner, Changeist LLC
ssmith@changeist.com · +1 310 382 6202
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