Token Economics: Why the Cost of AI Isn't Going Down
There’s a persistent myth in tech: AI will get cheaper. The argument is straightforward - Moore’s Law, scale effects, competition, and raw compute efficiency improvements mean costs should plummet. Yet in April 2026, Claude costs roughly what it did in 2024. GPT-4 Turbo pricing hasn’t moved in eighteen months. Gemini’s cost structure remains sticky. Why? The answer isn’t that progress hasn’t happened. It’s that the economics of modern AI are fundamentally different from hardware commoditization. Once you understand the actual constraints, the stability of pricing becomes logical. ...