The Token Burn Economy: Why AI Usage Limits Are Really Workflow Limits

Every few weeks a new thread surfaces on Reddit and Hacker News: someone has hit their Claude or ChatGPT usage cap by lunchtime and they are, understandably, annoyed. The replies fall into two camps. One blames the lab — the limits are too tight, the pricing is greedy, the model is being deliberately throttled. The other camp, smaller and quieter, says something more interesting: you're not hitting a usage limit. You're hitting a workflow limit.

After watching hundreds of these sessions — our own, our readers', and the increasingly detailed write-ups people post when they get frustrated enough — the second camp is right. The single largest source of wasted tokens in 2026 is not the model, the prompt, or the context window. It is the correction chain: the long, accreting tail of "actually, make it shorter," "no, more formal," "undo that last part," that quietly reloads the entire prior conversation on every turn.