The author argues that enterprise demand for frontier AI models is driven by competitive game theory, where companies cannot afford to lag behind rivals using superior models, even if cheaper alternatives exist for 95% of tasks. While mature workloads will commoditize, frontier models will continue to tackle harder, previously impossible tasks, sustaining demand. The author also suggests that model routing alone offers a weak long-term competitive advantage, as portable memory and context across model families remain unsolved, making model family ownership more durable.
Competitive pressure forces enterprises to adopt frontier AI models, sustaining demand for leading labs, while orchestration's value hinges on solving portable memory and context.