Game Theory Signals No AI Spending Slowdown as U.S.-China Race Overrides Safety Push
Updated
Updated · CNBC · Sep 17
Game Theory Signals No AI Spending Slowdown as U.S.-China Race Overrides Safety Push
3 articles · Updated · CNBC · Sep 17
Summary
CNBC Investing Club said AI development and spending are unlikely to slow materially despite a widening safety debate sparked by Anthropic CEO Dario Amodei's call to pace frontier model training.
U.S.-China competition is the key reason: applying the prisoner's dilemma, the analysis argues neither side can trust the other to slow down, making continued rapid development the most likely Nash equilibrium.
OpenAI, Sam Altman and Elon Musk have backed stronger pacing and safety measures, while Nvidia's Jensen Huang, investor David Sacks and Meta's Mark Zuckerberg argue safety can be handled without broad coordinated slowdowns.
Alex Karp added that any U.S.-China AI accord remains unlikely even ahead of a Trump-Xi meeting next week, reinforcing the view that geopolitical rivalry will keep capital flowing into AI.