The Metered AI Pricing Death Spiral: Why Per-Token Billing Punishes Your Best Features
Token costs dropped 280x in two years. Enterprise AI bills went up 320%. If that sounds like a paradox, you haven't looked closely at how per-token billing interacts with the features that actually make AI products valuable.
The most useful AI workflows — deep research, multi-step reasoning, iterative refinement, agentic tool use — are precisely the ones that consume the most tokens. Under pure usage-based pricing, your best features are your worst margin killers. This isn't a temporary scaling problem. It's a structural misalignment between how AI creates value and how it gets billed.
