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Meta may cap AI token spend per engineer soon
Adam Mosseri says Meta could limit AI token budgets within one to two years as usage costs rise toward employment-level expense.
Image: Kyle Grillot/Bloomberg (opens in a new window)
Meta may eventually put AI token spending caps on individual engineers. In an interview on Lenny’s Podcast, Instagram head Adam Mosseri said he can imagine that happening within a year or two if usage costs keep climbing.
Mosseri said the “burn rate” of a strong engineer could soon match that person’s salary or total cost of employment. If that happens, he said, Meta will likely need limits.
“I think that you can imagine, at least in a year or two … that the burn rate of a strong engineer might be the same as their salary, or their cost of employment. And in that world, you’re going to probably need to put in some caps.”
The comments come as AI token spend — the cost of processing prompts and responses — has become a growing issue across tech. TechCrunch reports that Meta recently shut down an internal AI token spend leaderboard after costs put the company on track for billions of dollars in 2026. Other companies are also tightening controls: Uber burned through its 2026 AI coding budget by April, while Microsoft canceled Claude Code licenses and pushed engineers toward its own Copilot CLI.
Mosseri said he sees token budgets as another constrained company resource, alongside GPUs, CPUs, storage, RAM, labeling budgets, and payroll. In that model, spending would be allocated based on how much Meta trusts a team or employee to use the budget in an “ROI-positive” way.
Meta does not currently impose token caps on employees, according to Mosseri. But he argued that such limits could be healthy later on, especially as companies get more disciplined about waste. For now, he said, Meta has reduced spending by cutting off the “silly things” it had been doing — including the leaderboard itself.
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“It’s not that hard to build a token incinerator, and that doesn’t create a lot of value.”
Longer term, Mosseri expects token prices to fall as model providers compete more aggressively on cost.
Enterprise Editor
Marcus follows the money. He covers enterprise software, cloud architecture, and the tectonic shifts in Big Tech strategy. He translates dense earnings calls and complex M&A activity into actionable insights about where the industry is actually heading. If a tech giant makes a silent pivot, Marcus is usually the first to notice.
via TechCrunch
