The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value

[2504.12654] The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Economics > General Economics arXiv:2504.12654 (econ) [Submitted on 17 Apr 2025] Title: The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value Authors: Venkat Ram Reddy Ganuthula , Krishna Kumar Balaraman View a PDF of the paper titled The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value, by Venkat Ram Reddy Ganuthula and Krishna Kumar Balaraman View PDF Abstract: This perspective paper examines a fundamental paradox in the relationship between professional expertise and artificial intelligence: as domain experts increasingly collaborate with AI systems by externalizing their implicit knowledge, they potentially accelerate the automation of their own expertise. Through analysis of multiple professional contexts, we identify emerging patterns in human-AI collaboration and propose frameworks for professionals to navigate this evolving landscape. Drawing on research in knowledge management, expertise studies, human-computer interaction, and labor economics, we develop a nuanced understanding of how professional value may be preserved and transformed in an era of increasingly capable AI systems. Our analysis suggests that while the externalization of tacit knowledge presents certain risks to traditional professional roles, it also creates opportunities for the evolution of expertise and the emergence of new forms of professional value. We conclude with implications for professional education, organizational design, and policy development that can help ensure the codification of expert knowledge enhances rather than diminishes the value of human expertise. Subjects: General Economics (econ.GN) ; Artificial Intelligence (cs.AI) Cite as: arXiv:2504.12654 [econ.GN] (or arXiv:2504.12654v1 [econ.GN] for this version) https://doi.org/10.48550/arXiv.2504.12654 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Venkat Ram Reddy Ganuthula [ view email ] [v1] Thu, 17 Apr 2025 05:32:21 UTC (246 KB) Full-text links: Access Paper: View a PDF of the paper titled The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value, by Venkat Ram Reddy Ganuthula and Krishna Kumar Balaraman View PDF view license Current browse context: econ.GN < prev | next > new | recent | 2025-04 Change to browse by: cs cs.AI econ q-fin q-fin.EC References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × 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 paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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