Introducing AI Game Theory: An interactive sandbox that explores power and leverage between players in the AI economy. Every CEO or investor you meet has a built-in bias shaped by their vantage point. The goal of this project is to make those incentives more legible.

1. Pick the game 2. Pick the players 3. Run the scenario AI is an ongoing negotiation over two things: today's profits and tomorrow's moats. Explore now:

Select any two players, and view the relationships between them. What each side is optimizing, what each "game" means for the pair, what are the built-in tension and dynamics that persist through games.

We map eight players in the stack: Chips. Clouds. Frontier labs. Open-weight labs. Inference. Harnesses. Applications. Enterprises. We place every pair inside six games: Intelligence.
Distribution.
Execution.
Inference.
Data.
Users. Because the model is non-commutative, there are 9 players, 8 counterparts, and 6 games, which leads to 432 possible scenarios!!

Hope this project surfaces key questions: - Why do clouds back multiple model labs? - Why build their own chips? - Why do chip firms support open models? - When does cheap capital become a distribution edge? - When is “irrational” spend rational given real incentives? And more..

Have fun exploring: You can also read this in blog format. DMs open for thoughts + feedback!! :)

This is so Tina! 💛

🤭

fun!

Very cool!

this is awesome. thanks for sharing!

looks good

I really like this. Well done!

!!!!!!!

understanding incentives usually explains more than opinions ever do

i love this, Tina!!

Business wargaming is such an interesting field, and there are so few tools available to experiment with it. Thank you!