We Need An Ecosystem in AI, And Every Company Can Win A Place In It
Summary
Satya Nadella’s strategic call is that AI must become an ecosystem, not “a single model or even a single platform.” A platform earns that label when participants create more value above it than its owner captures inside it; otherwise developers are merely “worship[ping] at the altar of one model,” with little basis for durable terminal value.
Microsoft’s model strategy pairs clean-lineage MAI models with the machinery for customers to create specialists. The stack begins with high-quality data and ablations, then adds a hill-climbing scaffold, reinforcement learning, traces and private evals. In the Land O’Lakes example, Microsoft used “GPT-55,” collected traces, then took a 5B reasoning model and achieved a higher result.
Private evals may become a company’s most important AI-native IP. Nadella’s acid test is whether an enterprise can replace model A with model B and keep improving against an eval it owns without leaking traces: “If you can, then you’re in control. If you can’t, you’re not in control.”
Agents expand software’s value-creation opportunity but force SaaS vendors to unbundle their existing assets and pricing. Stable schemas and business logic remain valuable, while agent interfaces create new consumption: Work IQ turns Microsoft 365’s formerly captive email, meetings and documents into context that can propose changes to a GitHub repository.
Per-user subscriptions will survive, but high-intensity agents require consumption meters. Per-user pricing gives budget certainty; outcome pricing sounds attractive until it resembles “giving away royalty.” GitHub Copilot’s original per-user design did not anticipate a customer launching “10,000” agents all day, so one pricing model cannot rule every workload.
The highest organizational returns may come from making work meta rather than merely automating existing tasks. After Microsoft built more Azure capacity in 15 months than in its first 15 years, the network team reframed its job: “Our job is not to do Azure networking. Our job is to build the agentic system that does Azure networking.”
Data-center buildout will earn social permission only if communities see tangible benefits. Nadella says the next 12–18 months must demonstrate broad participation, jobs, training, tax revenue, better health outcomes and other concrete benefits—not another “Trust us. We’ve got it” story. Education remains ripe for reinvention, leaving room for “a new university” linking AI-era pedagogy and credentials to economic opportunity.
Deep dive
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