Studying these six cases reveals meta-patterns that predict human-AI collaboration success:
1. Multiplication Not Addition
Every significant came from human capabilities multiplied by AI capabilities, not simply added together. The combination created possibilities neither could achieve alone.2. Clear Capability Division
Success required understanding what humans do best (vision, judgment, meaning) and what AI does best (pattern recognition, scale, speed) without trying to force either into the other's role.3. Human-Centered Metrics
Organizations measuring only efficiency metrics missed significant opportunities. Those tracking human outcomes (learning, satisfaction, meaning) discovered new value.4. Ethical Integration
Rather than treating ethics as constraint, successful collaborations used ethical considerations as innovation catalysts, forcing creative solutions that pure optimization would miss.5. Continuous Evolution
The collaboration model constantly evolved. What AI handled expanded over time, continuously freeing humans for higher-value contributions.6. Cultural Transformation
Technology implementation was necessary but insufficient. Success required fundamental shifts in how organizations thought about human and machine roles.