The Frontier

Satya Nadella defines two core corporate assets in AI: human capital for judgment and relationships, and token capital for owned AI capability. He argues neither replaces the other, and human agency is the primary driver of AI growth.

Nadella warns that if a general AI model commoditizes a company's unique expertise, the firm loses its reason to exist. Success depends on using human judgment to make token capital more specialized and effective.

A sovereign company must build a learning loop atop AI models so its institutional memory persists even if the underlying model changes. This requires private evaluation and reinforcement learning based on internal workflows.

Nadella describes a proprietary hill climbing machine: an AI system that improves with every internal use, creating a recursive loop where better workflows generate stronger training signals for compounding advantage.

Nadella draws a parallel between AI and early globalization, which hollowed out industries and displaced workers despite positive GDP numbers. He warns AI risks a similar crisis if a few model providers capture all economic returns.

Nadella advocates for a frontier ecosystem over just frontier models. He argues a stable equilibrium requires AI to enable more value for companies using it than for those building it, with broad value distribution across sectors.