Unsupervised Learning The Great Transition
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Feb 28, 2026 A broad mental-model tour of a simultaneous tech shift: knowledge moving from private to public via LLMs and open models. Software changing to API-first products and agent-driven interfaces. Companies mapping work as graphs for AI orchestration and evaluating tools by function. New markets for individual skills and reputation-driven freelancing. Cybersecurity turning into an AI stack battle and personalized AI causing social fragmentation.
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Interfaces And SEO Will Target Agents Not Humans
- Interfaces and SEO will target users' AIs rather than humans; agents present bespoke interfaces to each user.
- He explains agents will query directories, pick rated APIs, and render custom UI for the human, removing generic web interfaces.
Enterprises Become Graphs Of SOPs Run By AI
- Enterprises will map their company as a graph of SOPs and functions that AI orchestrates, replacing informal human-dependent processes.
- Miessler describes building unified maps of tasks, decisions, and SOPs so AI can run, update, and verify company workflows.
Vendors Must Prove Function Metrics To Replace Tools
- Software procurement will be judged by discrete function metrics in a company graph, not salesperson pitches to humans.
- Vendors must prove metric-based superiority for a specific node (e.g., background removal) to be swapped into the enterprise graph.