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Chapter 2: The AI Flywheel - Understanding Network Effects

Learning Objectives:

  1. Understand Metcalfe's Law and network effects
  2. Recognize how AI systems improve through data collection
  3. Identify winner-take-all dynamics in technology

Key Topics:

The AI Flywheel archetype

Network effects and platform dynamics

Data advantages and algorithmic improvement

Path dependence in technology adoption

Interactive CLD Examples:

Social media platform growth Search engine improvement cycles Recommendation system refinement

Case Studies:

Google's search dominance

Facebook's network effect

Amazon's recommendation engine evolution