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The author argues that AI sovereignty discussions should focus more on the application layer, particularly agent workflows and portability, rather than just chips and models.
The article argues that abundant AI intelligence will not eliminate business moats but will shift value to companies that translate AI models into real-world outcomes through coordination, workflow data, and structural necessity.
The article argues that AI application layer companies cannot rely on fine-tuning, evals, or model routing for a sustainable moat; instead, product shape—a deeply opinionated, fit-for-purpose design—is the true defense against model providers like OpenAI and Anthropic.
Discusses whether application-layer developers still have opportunities given that giants like OpenAI and Anthropic may dominate the underlying AI capabilities, and how to choose the right direction.