Satya Nadella, CEO of Microsoft, publishes on X a reflection on "the future of the firm" in an AI-driven economy. His starting thesis: this transition differs from any previous platform shift. Until now, digital systems augmented human capital; for the first time, it is possible to create a genuine cognitive loop between people and machines. What is at stake is not a tool, but the way organizations continue to learn, build their IP, differentiate themselves, and thrive in a world where AI models absorb and commoditize the expertise of individuals and organizations.
Nadella proposes a central distinction: every company will need to build human capital (knowledge, judgment, relationships, ingenuity, pattern recognition) and token capital (the AI capability it builds and owns). Human capital does not lose value as token capital grows — on the contrary, it gains value: human agency is the engine driving the growth of token capital. Without human direction, "compute runs in circles." The real opportunity, then, is not choosing the best model, but building a learning loop on top of the models, where the two capitals compound. One can offload a task, or even a job, but never one's learning.
This requires a new architecture in which every company builds agentic systems that improve over time while retaining control of its IP. The sovereignty test: being able to replace a "generalist" model without losing the expertise of the "company veteran." Three building blocks: private evals measuring improvement on the outcomes that matter to the business (not external benchmarks), private RL environments trained on real internal traces, and a base de connaissances making institutional memory queryable. This loop becomes the firm's new IP — a "hill climbing machine" that compounds: each improved workflow produces a better training signal, accelerating the accumulation of unique tacit knowledge, and creating an advantage that is difficult to replicate.
Nadella concludes with a political-economy warning: a world in which a handful of models capture all the value will not be socially tolerated. He invokes the first wave of globalization, which hollowed out industrial economies through offshoring, as a cautionary tale. The priority must be to build a frontier ecosystem, not merely a frontier model, so that value diffuses to every company, sector, and country — the platform "ethos" he claims, and the only stable equilibrium worth building together.