Capability Transfer to New Frontier

When a general-purpose capability (such as deep learning) reaches critical maturity in one domain, capital and talent migrate at scale to new application frontiers. New frontiers typically exhibit three characteristics: (1) incumbent methods have proven ineffective for an extended period, (2) the new capability can potentially reshape the domain's foundational assumptions, and (3) the market is large enough to justify investment returns.

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Related principles

• → Links
  Technology Readiness Level Alignment with Market Timing
• ↺ Counters
  Delayed Gratification & Craft Depth
• → Links
  Platformized Drug Discovery: Asset Ownership to Capability Integration
• ↗ Extends
  Ecosystem Transition
• → Links
  Technology Portfolio Diversification
• → Links
  Focused Dominance vs. Omni-Competence Trap
• ↺ Counters
  Context Advantage vs Capability Advantage
• → Links
  Time Scale Mismatch: Long-termism vs Short-term Race
• → Links
  Late-Comer Differentiation via Constraint
• → Links
  Structural Gap in Capability Matrix