Research-Gap

Research: The Problem of Measuring Whether AI Collaboration Genuinely Expands Human Capability vs. Substitutes for It Date: 2026-03-10 Confidence: Medium (the empirical landscape is active; the structural framing is well-supported; specific longitudinal data remains thin) Search queries used: “measuring AI augmentation vs substitution human capability cognitive atrophy skill replacement 2024 2025” “cognitive offloading AI tools skill atrophy longitudinal research empirical evidence” “extended mind theory AI tools enactivism human-AI system unit of analysis philosophy” “counterfactual problem measuring cognitive skill development AI assistance methodology research design” “natural experiment AI tools skill atrophy longitudinal study GitHub Copilot coding ability developers” “cognitive offloading positive beneficial extended mind vs atrophy distinction research framework 2024 2025” “extended hollowed mind …

The “Symbiotic Intelligence over Automation” tenet requires that symbiosis be distinguishable from sophisticated substitution — but this distinction cannot be reliably verified. The question of whether AI collaboration builds human capability or hollows it out hits four structural barriers that prevent clean resolution even in principle. More data, longer studies, or better instruments will not close this gap. It is a permanent limit on what the framework can confirm about itself.