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The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise

● high · 2026-08-03generative-ai, professional-training, educational-theory, cognitive-offloading, lifelong-learning, over-reliance, policy-maker, human-ai-collaboration, rag, ai-education

Nolan Lovett — Human Resource Development Review (author accepted manuscript, 2026).

Nolan Lovett — Human Resource Development Review (author accepted manuscript, 2026).

Synthesis

This conceptual paper introduces the Cognitive Commons framework, integrating commons theory, HRD scholarship, and distributed cognition to explain how rational AI adoption decisions can deplete the shared expertise pool professions require for renewal.

It distinguishes Internalized Mastery (deep domain knowledge from sustained practice) from Distributed Mastery (orchestrating human-AI systems) and develops the Validation Tether: effective AI oversight depends on the expertise AI adoption may undermine.

Early labor-market and clinical evidence suggests disruption to expertise-regeneration pathways in highly AI-exposed sectors; five factors determine occupational vulnerability, and governance may form at organizational, professional-association, and policy levels.

The paper reframes expertise development as collective stewardship rather than organizational optimization — a systems-level complement to individual-level cognitive-offloading and skill-decay findings, with implications for professional training and AI governance.

Connected Concepts

  • Open Source
  • Plagiarism Detection
  • Student Experience
  • AI Misuse Learning Harm
  • Over Reliance
  • Critical Thinking
  • Lifelong Learning
  • Generative AI

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    • Citation

    Lovett, N. (2026). The tragedy of the cognitive commons: How AI could disrupt the regeneration of professional expertise. Human Resource Development Review. arXiv:2607.29380.