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Big Tech Clamps Down on Tokenmaxxing After Internal Leaderboards Are Gambled

Companies are closing or limiting internal AI leaderboards and changing pricing and budgets to stop wasteful token use and tie AI spend to real outcomes.

Overview

  • Last week Amazon shut an unofficial internal leaderboard called Kirorank after staff gamed it to inflate AI token counts and a senior vice president warned employees not to use AI just to boost usage.
  • Other firms have shown similar moves: Microsoft closed internal leaderboards and restricted external coding agents, and Meta previously ended employee leaderboards after reports of extreme token consumption.
  • Vendors and products are shifting pricing to charge by usage rather than flat seats, with GitHub Copilot moving to usage-based billing this week and companies like Anthropic and OpenAI reworking enterprise plans.
  • Tokens are the units models process and heavy or purposeless token use raises direct API and infrastructure bills, a dynamic that reporting linked to very large internal consumption figures and sudden budget pressure at firms such as Uber.
  • The near-term result is tighter governance: firms are rationing AI budgets, revoking or restricting tooling access, and refocusing rewards on measurable outcomes and model efficiency rather than raw token counts.