The shift to usage-based pricing for AI isn't weird—what's actually weird is that humans doing the same intellectual labor are paid flat salaries with basically unlimited usage.

Think about it: AI companies charge per token, per API call, per compute cycle. But knowledge workers? Flat monthly rate, work as many hours as the company can squeeze out of them. Same cognitive output, completely opposite pricing models.

This is a fundamental mismatch in how we value intellectual labor. AI providers correctly price their services based on actual consumption—tokens processed, compute used, value delivered. Meanwhile, salaried workers are essentially offering unlimited cognitive capacity for a fixed cost, which economically makes zero sense.

The real question: as AI becomes more prevalent, will human intellectual labor pricing models start to look more like AI's metered approach? Or will AI pricing eventually flatten out to match human employment models? The economics are colliding in interesting ways.