Meta Caps Internal AI Token Spending After Costs Approach Billions in 2026
mlq.ai ● Covered by 2 sources
Meta implemented spending controls on employee AI tool usage after discovering that internal token consumption reached 73.7 trillion tokens in 30 days, putting the company on track for billions in costs during 2026. The company will deploy a centralized AI Gateway dashboard for real-time monitoring and introduce formal token budgets starting in 2027, while shifting employees toward its own MetaCode tool instead of third-party services like Claude. The move reflects a broader industry pattern where companies are discovering that high AI adoption rates don't correlate with measurable productivity gains and are moving from unlimited access to managed spending.
Why it matters
Meta is implementing spending controls on employee AI usage after internal costs surged towards billions in 2026, driven by excessive token consumption tracked on a leaderboard.