Game-Theorist · Six-Phase Analysis

Sequential · 4 players · 72 hours
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Case dossier · November 2023

The OpenAI board crisis

A board played a one-shot firing. The game it was in had three veto players it never saw.

Modelled with game-theorist · Salt & Silicon 17 to 21 November 2023

Players

  • The non-profit board Toner, Sutskever, D'Angelo, McCauley
  • Sam Altman CEO of OpenAI, central node of the network
  • Microsoft (Satya Nadella) $13B deployed, exclusive cloud and IP rights
  • The 770 employees pending tender offer, deep loyalty to Sam, mission identity
Game type
Sequential, 4 players, 72 hours, 17 to 21 November 2023
Lead framework
Coalition-formation with iterated dominance

Part I · Phases 1 to 2

The board and what it could not see

The first two phases lay the terrain: the game the board thought it was playing, and the incentives of the three players it left off the chart.

Phase 1

Deconstruction

The board believed it was playing a one-shot principal-agent game. Hire the CEO, fire the CEO, replace the CEO. Standard board prerogative under the OpenAI charter. The legal authority was uncontested.

What was being played was a coalition-formation game with three implicit veto players the board had not budgeted for: Microsoft, the employees, and the tender offer that gave the employees a near-term financial reason to act collectively.

The information asymmetry ran in the opposite direction from what the board assumed. The board held private information about Sam (the alleged candour failures). Microsoft and the employees held private information about the cost of his removal: Nadella had a Saturday morning offer ready, the employees had a Slack channel and a draft letter. None of that was visible from the boardroom on Friday afternoon.

The game was sequential. Friday: the board moves. Saturday: Microsoft moves. Sunday: the employees move. Monday: the board faces a coalition it did not see forming. By Tuesday, the equilibrium had flipped and the board was replaced.

Phase 2

Incentive Mapping

Each player's payoff pointed in a different direction. None of them mapped cleanly onto the others, and the gap between stated and actual goals is where the board lost the game.

  • The board: Stated goal: preserve the OpenAI mission and safety mandate. Actual goal: reassert control over the direction of the leading AI lab. BATNA: walk away as the directors who blocked the AI race. Career-ending in tech. Time horizon: long and mission-oriented. They underweighted the next 72 hours completely.
  • Sam Altman: Stated goal: continue leading OpenAI through the GPT-4 era. Actual goal: lead whichever entity becomes the leading AI lab. The label matters less than the position. BATNA: a Microsoft AI lab with cash, compute, and any employee who follows. Strong. Time horizon: compressed to hours by the public nature of the firing.
  • Microsoft (Satya Nadella): Stated goal: supportive of any outcome that protects the partnership. Actual goal: secure access to the talent and IP regardless of which legal shell holds them. BATNA: absorb the talent into a Microsoft AI lab. Slower, but safe. Time horizon: quarters. The race outlasts any single weekend.
  • The 770 employees: Stated goal: continue the work, regardless of who runs the company. Actual goal: protect the upcoming tender offer that would make many of them millionaires. BATNA: Microsoft would hire any of them, at the same compensation, immediately. Time horizon: long career, but the tender offer was on the calendar.

The board's failure was not in values. It was in the model of the game. They did not assign a payoff to the response of Microsoft or the employees, because they did not see those parties as players. In a principal-agent game, the agent has no allies. In the actual game, the agent had two coalitions waiting in the wings.

Figure 1 · Power against leverage
Where the game was decided Formal power Real leverage None Total None Total The board Sam Altman Microsoft The 770 employees
Focal · the misread High real leverage Plotted player

Figure 1. The board held the only formal seat and the least real leverage. The three players it never charted held no formal authority and nearly all the leverage. The shaded band, high real leverage, is where the outcome was settled.

Part II · Phases 3 to 4

The strategies collapse to one

With the players mapped, the strategy space narrows under iterated dominance, and a single Nash equilibrium settles over the weekend.

Phase 3

Strategy Space

By Sunday evening, the board's options had collapsed. Apply iterated dominance to what remained, modelling the best response from Sam, Microsoft, and the employees against each move.

Move Outcome under best response from Sam, Microsoft, employees
Hold Emmett Shear as interim Mass walkout Monday morning. Microsoft hires the entire technical staff. OpenAI becomes a brand on a building.
Negotiate Sam's return without restructuring Same equilibrium recurs in six months. No credibility gained. The board is replaced anyway.
Sell the company to Microsoft outright Antitrust risk, charter violation, employees still leave. Worst of all paths.
Reinstate Sam, restructure the board, retain dignity Loss of personal seats, but the institution survives. The only path with a positive payoff for the institution.

Three strategies are strictly dominated once you model the response of Sam, Microsoft, and the employees. Only one move survives iterated elimination: accept reinstatement and negotiate the board's own replacement on terms rather than under duress.

A board's authority is credible only inside the building.

Game-theorist · Phase 4

Phase 4

Equilibrium

The Nash equilibrium that emerged: Sam returns, the board is replaced, Microsoft observes.

Stable because the coalition of Sam, Microsoft, and the employees had a credible exit that the board's threat could not outlast. The board's credibility collapsed the moment Nadella sent his Saturday email publicly offering Sam a role at Microsoft AI. At that point, holding firm was no longer a dominant strategy for the board: the threat of reinstatement became the cheaper option. This is a coalition equilibrium, not a bilateral negotiation. Any analysis that treats it as a two-player game misses the structure entirely.

Part III · Phases 5 to 6

The move that should have been, and the wake

The closing phases run the game in reverse: the play the board should have made, and the adaptations every other AI lab drew from watching it fail.

Phase 5

Recommendation

Run the game forward with mission preservation as the real goal. This is the retrospective recommendation for the board, and it applies symmetrically to any board considering the removal of a charismatic founder.

  • Primary move: Negotiate the exit privately first. A public firing creates a public counter-coalition. The board's authority was credible only as long as the move stayed inside the boardroom.
  • Commitment device: Pre-secure a successor with employee credibility. Mira Murati was loyal to Sam. Naming her would have signalled continuity. Naming Emmett Shear signalled rupture.
  • Signal: Frame the action as governance reform, with a published timeline. A clear story removes Microsoft's incentive to intervene as a saviour.
  • Coalition pre-emption: Brief the top fifteen technical leads before announcing. Their public support, or even their public neutrality, breaks the employee coalition before it forms.
  • Contingency: If Microsoft objects, have a board statement ready that frames the partnership as unaffected. Ambiguity is the friend of the firing party. Silence is fatal.
  • Timing: Not on a Friday afternoon before the US Thanksgiving week. The empty calendar gives the counter-coalition 72 free hours. Move on a Wednesday morning, with a planned all-hands within four hours.

Key statistics from the actual outcome: 770 of 800 employees signed the letter, the equilibrium flipped in 96 hours, and 3 of 4 original board members lost their seats. The mission itself survived unchanged.

Phase 6

Dynamic Adaptation

Two years on, the secondary effects are visible. The game did not end when Sam walked back in. It propagated through every other lab that watched the board lose.

Other AI labs studied the game and built different governance. Anthropic kept its Long-Term Benefit Trust but paired it with founder-supportive bylaws. xAI never had a non-profit veto. Mistral incorporated as a normal European company. The board veto became a known liability in AI lab structuring.

Microsoft demonstrated that its power extended past the contract. The lesson registered with every other lab dependent on hyperscaler compute. The next generation of AI labs raised more capital, faster, partly to escape the same structural dependency.

The board members, in the year after, became cautionary references rather than authorities. The reputation cost turned out to be the dominant cost of the entire episode: larger than any short-term governance victory could have justified. This reframes the payoff matrix retrospectively. Had the board correctly weighted reputation as an asset in their own payoff function, the dominant strategy changes before Friday even arrives.

Lesson

A board's authority is credible only inside the building. The moment the move becomes public, the game expands to every player with a stake in the outcome, and the new equilibrium answers to the largest coalition, not the original chart.