Does AI pricing collapse force a choice between growth and profitability?
Core argument: DeepSeek forced every Western lab to justify higher costs, then demonstrated retained pricing power by tripling effective output price while remaining within the low-cost band—exposing the fragility of Western labs’ commodity-tier positioning.
Good-enough models are converging in capability and price. That makes model switching easier and durable margins harder to defend. US labs are cutting lower- and mid-tier offerings while keeping their best models expensive. They are conceding commoditization below the frontier while trying to preserve scarcity rents at the top. This market-ceding tactic has failed in most markets historically, especially when competing with China. This is irreconcilable with trillion-dollar valuations and high & growing debt loads. OpenAI and Anthropic must finance enormous capital spending while competition pushes the models likely to generate the most volume toward commodity pricing. An 80% year-over-year price decline requires 400% unit growth just to stand still, and much more to deliver overall growth.

