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We Need An Ecosystem in AI, And Every Company Can Win A Place In It

In this special crossover episode recorded at Microsoft Build, Satya Nadella joins Sarah Guo, Elad Gil, and Latent Space host swyx to discuss the evolving AI landscape, focusing on platform strategy, the shift toward multi-model systems, and the transformative impact of AI agents on software development and enterprise workflows.
Nadella emphasizes that true AI value comes from measurable outcomes, not benchmarks, and that private evaluations are becoming a company's most critical intellectual property. He discusses how AI coding tools are so effective they require rebuilding the IDE to manage cognitive load, and predicts that within six months, people will rely on delegated autopilots for tasks. He introduces the concept of a 'harness' for enterprise AI, where multi-model systems with tool access outperform single-model approaches. On pricing, he predicts a mix of per-user subscriptions and consumption models, noting that outcome-based pricing is often rejected by customers. He sees SaaS as durable but expects a new equilibrium after a full budget cycle. Nadella also highlights the need for data centers to demonstrate community benefits like job creation and lower energy prices, and envisions AI-driven education startups building entirely new universities.
00:00
00:00
Tech must deliver tangible benefits.
01:48
01:48
Enabling any company to create and use AI as a first-class participant.
05:12
05:12
Private evals are key IP
05:55
05:55
True value comes from measurable, unique outcomes for users, not just benchmarks.
07:33
07:33
AI coding tools require rebuilding the IDE
09:37
09:37
Multi-model harnesses with tool access outperform others
12:00
12:00
Private evaluations become critical intellectual property.
15:10
15:10
A developer conference should enable innovation, not just worship a single model
15:55
15:55
Tacit knowledge can be captured on balance sheets
20:29
20:29
I don't believe in permanent business models.
21:51
21:51
Outcome-based pricing is often rejected by customers.
24:02
24:02
Enterprises will return to vendors after realizing costs
25:58
25:58
Non-technical CEOs can build software with AI tools like GitHub Copilot
28:21
28:21
Generalist roles gain the most leverage from AI.
30:54
30:54
Shift from doing the work to building the system that does the work
34:37
34:37
Public permission depends on demonstrating real local value.
38:04
38:04
A single sentence can be incredibly powerful.
39:53
39:53
The next big startup could build a new university