The Tragedy of the Cognitive Commons

jmintz1 pts0 comments

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise

Skip to main content

Search arXiv

Press Enter to search · Advanced search

-->

Computer Science > Computers and Society

arXiv:2607.29380 (cs)

[Submitted on 31 Jul 2026]

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

Authors:Nolan Lovett<br>View a PDF of the paper titled The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise, by Nolan Lovett

View PDF

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.

Comments:<br>Author accepted manuscript. Published in Human Resource Development Review; the version of record is available at the DOI. Submitted 2 November 2025, accepted 6 July 2026, published online 26 July 2026. This is a work of the United States Government and is not subject to copyright protection in the United States (17 U.S.C. 105)

Subjects:

Computers and Society (cs.CY); General Economics (econ.GN)

Cite as:<br>arXiv:2607.29380 [cs.CY]

(or<br>arXiv:2607.29380v1 [cs.CY] for this version)

https://doi.org/10.48550/arXiv.2607.29380

Focus to learn more

arXiv-issued DOI via DataCite (pending registration)

Journal reference:<br>Human Resource Development Review, advance online publication (2026)

Related DOI:

https://doi.org/10.1177/15344843261470602

Focus to learn more

DOI(s) linking to related resources

Submission history<br>From: Nolan Lovett [view email]<br>[v1]<br>Fri, 31 Jul 2026 13:04:07 UTC (401 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise, by Nolan Lovett<br>View PDF

view license

Current browse context:

cs.CY

next >

new<br>recent<br>| 2026-07

Change to browse by:

cs<br>econ<br>econ.GN<br>q-fin<br>q-fin.EC

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this...

toggle expertise arxiv cognitive commons regeneration

Related Articles