Students run GPU compute providers deciding how much capacity to install each round — a decision that can also shape whether a new entrant ever shows up at all. Separately, students play the role of that new entrant, deciding whether, and when, to step into a market someone else already occupies.
Enter the simulation →A market is already running when a new firm has to decide whether to step into it — and that decision isn't just yes or no, it's a question of how large a position to commit to. Meanwhile, the incumbents already inside face their own version of the same tension: how much capacity to commit to before knowing whether a new entrant will show up and reshape the market they're building for. Incumbents aren't purely reactive, either — their own behavior can deter entry altogether, keeping a new competitor out before it ever arrives. Students feel both sides of that trade-off, often in the same session.
The simulation supports several different configurations of that tension, without switching tools:
Each team runs a GPU compute provider, renting out processing power to AI companies that need it. Every round, incumbent teams decide how much GPU capacity to install; price falls as total installed capacity across every active provider rises. Starting from a configurable round, a new entrant can choose whether to step in and compete too — reshaping the market for everyone already there.
Installed capacity can be configured as a sunk investment — once committed, it can only go up, never down. Build too much, and you're stuck paying for it whether or not the market ends up rewarding it, exactly like the real over-build risk playing out in this industry today.
Every simulation follows the same shape — what changes is the strategic decision at its core and the industry context around it.
Before class, the teacher sets the conditions: how many markets, firms per market, and the specific market conditions — e.g., demand, cost, entry, exit, investment/acquisition opportunities, etc — so the same core idea can be taught several different ways.
Students join their respective teams and make real decisions, round after round, watching prices and payoffs move in response to everyone's choices — including their own.
Every round is logged automatically, and the full results can be downloaded by teacher and students alike. With real numbers on the table instead of a hypothetical, the class can dig into the strategic logic behind what happened — discussed in more depth, and grasped more readily, because everyone has already felt the pros and cons of their own choices firsthand.