Why it matters
When organizations measure AI success by volume, they create perverse incentives. Tokenmaxxing-as-theater burns budget and can degrade quality—because the system is tuned for activity, not results.
Tokenmaxxing read
If you want high-AI organizations without the nonsense, change the scoreboard. Track outcome metrics per workflow (and per team), enforce budgets, and add eval/QA checkpoints so higher usage only happens when it’s earning its keep.
Source takeaway
Leaderboards can be useful, but only when they’re tied to outcomes and cost constraints—not token volume.
