Another reason we can't measure our productivity with AI

Measuring productivity gains from AI tools faces the same challenge as poker players tracking win rates: by the time enough data is collected for statistical significance, conditions have already changed. AI models evolve between releases, programmers adapt their skills, and metrics shift as tools become more powerful. This rapid evolution makes traditional benchmarks unreliable, requiring developers to rely on introspection and case studies rather than pure output measurements when evaluating AI assistance.