Tokenmaxxing—the wild AI usage frenzy where companies cheered on engineers for burning through AI tokens—is hitting a costly wall. Once seen as a badge of productivity, it’s now clear that high usage doesn’t equal efficiency, and bills are skyrocketing. With some firms even hosting internal AI usage contests, the trend fueled AI vendors but left businesses scrambling for cost control. Now, companies are shifting to smarter routing: using cheaper models for simple tasks and reserving powerful ones for complex work. Open-source alternatives, especially from China, are also offering cost-effective solutions. What started as a productivity myth is turning into a cautionary tale—like measuring devs by lines of code, only now it’s tokens—and everyone’s learning to use AI wisely, not just wildly.
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