The AI Deflation Trap: When Infrastructure Pricing Hits Zero, Who Captures Value?

In the last eighteen months, the cost of running a GPT-4-class model has dropped roughly 90%. Anthropic just eliminated the long-context pricing premium. Google is giving away Gemini Flash at rates that wouldn't cover a junior engineer's coffee budget. Every quarter, the floor drops again. If your business model depends on AI being expensive, you are building on a melting iceberg. This is the AI Deflation Trap: the structural tendency of AI infrastructure costs to collapse faster than companies can capture value from the temporary advantage. It looks like a tailwind. It's a trap. Because the cost reduction applies to your competitors at the same time it applies to you. The three phases of value migration Every technology deflation follows the same pattern. We saw it with cloud compute, with storage, with bandwidth. AI is running the same playbook at 3x speed. Phase 1: Infrastructure advantage. Early movers get cheap access to powerful models. They build products that incumbents can't m