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Meta clamps down on AI usage after 'tokenmaxxing' drives multi‑billion costs

Meta is introducing tighter token controls, budgets and a central 'AI Gateway' after internal AI usage surged and reportedly risks costing billions by 2026.

In detail

  • Internal memo cites exponential AI usage growth and projected billions in internal costs
  • From 2027: budgets, allocations and a central dashboard to track AI usage and spending
  • Previous 'tokenmaxxing' behavior produced 73.7 trillion tokens in just over 30 days

Why it matters

This underlines how unchecked model consumption can create major operational costs; companies need governance to keep AI usage aligned with business value.

For you Put token governance in place now: allocate budgets, monitor API consumption centrally, and prefer cost‑efficient internal tooling for heavy workloads.

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