AI is going to make things weird. Because of the jagged Frontier of A...

Source
ai-adoptionbusiness-strategyai-nativeorganizational-designsolopreneursai-agentsjagged-frontier

Summary

A framework proposing seven distinct economies based on AI adoption level, ranging from people fully opting out (“analog economy”) to single operators running dozens of agent-powered companies. The model builds on Ethan Mollick’s “jagged frontier” concept to explain why businesses at different adoption levels will increasingly feel alien to each other over the next 3-5 years.

Key Insight

  • Seven economies by AI adoption level:
  1. Analog economy - people actively opting out of AI/knowledge work, returning to physical/local economies. Predicted to grow as AI proliferates.
  2. Legacy economy - businesses ignoring AI entirely, running as usual.
  3. Efficiency economy - using AI to speed up existing processes (email, sales) without changing the business model. Where most adopters are today.
  4. Transition economy - breaking off innovation teams, creating new AI-powered products alongside existing operations.
  5. AI aggressor economy - existing companies radically restructuring around AI. Example: Block (Jack Dorsey) laid off 4,000 of 10,000 employees while profitable and growing, betting on flatter, smaller AI-augmented teams.
  6. AI native economy - new 5-20 person companies built AI-first by people from legacy industries. These will directly attack companies in economies 2-4.
  7. Hyper-autonomous economy - single operators managing 10-50 AI agent “companies” running 24/7. Most alien-looking from outside.

  • Key dynamic: Economy 6 companies will aggressively eat into economies 2-4. The gap between adoption levels will make cross-economy conversations feel like talking to aliens.

  • Block layoff data point: cut 40% of workforce while profitable - signals that AI aggressor moves are not distress layoffs but strategic restructuring toward small, flat teams.