Tokenmaxxing is just a symptom to a larger problem
By Arun “Rak” Ramchandran, CEO, QBurst
Walking into a boardroom full of AI agents isn’t some far-off possibility anymore, it’s close to becoming the default. The real question isn’t whether that day arrives. It’s how we get there: having exhausted token budgets chasing consumption with nothing concrete to show for it, or having built something with a return anyone can actually point to. The future doesn’t belong to whoever deploys the most AI. It belongs to whoever makes it purposeful.
Sometime around April 2026, it came out that Meta had been running an internal leaderboard called Claudeonomics, ranking roughly 85,000 employees by how many tokens they burned. Top users were clocking hundreds of billions of tokens a month and picking up titles like “Token Legend, and within weeks, “tokenmaxxing” had a name, and enterprises everywhere started asking the same anxious question: are we spending too much on AI, and how...
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