Meta’s Adam Mosseri suggests AI token budgets could soon be capped per engineer
Meta executive Adam Mosseri predicts that within a year or two, the company may need to cap employees’ AI token spending, as costs could match engineer salaries.
In a recent interview on Lenny’s Podcast, Instagram head Adam Mosseri said he envisions a future, perhaps in a year or two, where Meta will have to impose limits on employees’ AI token spend. The cost of a strong engineer’s token consumption, he argued, could equal their salary or employment cost, necessitating caps similar to other resources.
AI token spending has become a hot topic as companies grapple with rising costs. Meta shut down an internal token spend leaderboard after AI expenses put the company on track for billions of dollars in 2026. Other firms face similar challenges: Uber blew through its 2026 AI coding budget by April, and Microsoft cancelled Claude Code licenses to consolidate engineers around its own Copilot CLI tool.
Mosseri compared token budgets to payroll or operational expenditure, saying, "I have to decide how to deploy capacity to my different teams because I have a limited number of GPUs and CPUs... I have to decide how to deploy OpEx for labeling budgets... I have to decide how to deploy payroll for headcount." Future caps per engineer would be proportional to the company’s trust in their ability to use the budget in an “ROI-positive” way.
Currently, Meta has no token caps for any employee, but Mosseri believes their introduction could be healthy. He expects token costs to eventually drop as AI model makers engage in pricing wars. The company has already reduced costs by cutting “silly things” like the token spend leaderboard. “It’s not that hard to build a token incinerator, and that doesn’t create a lot of value,” he noted.
