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Applied AI·August 27, 2026·1 min read

UiPath founder Daniel Dines has written a book that dares readers to prove it wrong by 2028

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Dines is formalizing a three-layer work stack—AI agents to prep, humans to decide, deterministic automation to execute—and putting a 2028 timestamp on it. If you run ops or product, this is a concrete architecture to test your own roadmap against: where do you already have each layer, and where are you still mashing them together.

Applied AI

Sources: Meta internally projected that it could spend as much as $10B annually on Anthropic's AI models, even as Zuckerberg publicly criticized Anthropic

A $10B-per-year internal projection for third-party models underscores how fluid "build vs buy" is at frontier scale—public rhetoric and procurement math can diverge sharply. If you're a platform or large buyer, assume similar quiet optionality from your peers and design your own stack so you can pivot providers without rewriting everything.