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

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  • Nolan Lovett

Abstract

Artificial intelligence is reshaping cognitive work, but Human Resource Development scholarship has treated this transformation as an organizational training challenge, leaving the collective regeneration of professional expertise unexamined. 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. The framework 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 possible disruption to expertise-regeneration pathways in highly AI-exposed sectors, though adoption is recent and the strongest signals come from leading sectors rather than all professions. Five factors determine occupational vulnerability, and governance arrangements may form across organizational, professional-association, and policy levels. The paper reframes expertise development as collective stewardship rather than organizational optimization, with implications for HRD theory and workforce policy.

Suggested Citation

  • Nolan Lovett, 2026. "The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise," Papers 2607.29380, arXiv.org.
    • Handle: RePEc:arx:papers:2607.29380
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    1. Stevens, Margaret, 1994. "Labour Contracts and Efficiency in On-the-Job Training," Economic Journal, Royal Economic Society, vol. 104(423), pages 408-419, March.
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