AI & The Future of Expertise

Prashant Singh Yadav

Chapter 10 in The AI Competency Paradox, 2026, pp 221-236 from Springer

Abstract: Abstract This chapter examines how artificial intelligence fundamentally redefines the nature of expertise, intelligence, and skill development at the individual level. Building on Chap. 4 ’s analysis of the AI-Competence Ceiling, we demonstrate that AI creates a profound transformation in what it means to “know” something and “be expert” at a task. The analysis reveals the emergence of an “expertise redefinition paradox” where individuals can perform sophisticated tasks while lacking underlying competence, creating performance-understanding gaps that have profound implications for both personal development and organizational capability. We introduce the concept of “meta-intelligence”—the capacity to effectively orchestrate human-AI collaboration while maintaining cognitive independence—as the critical expertise for the AI era. This individual-level transformation provides the cognitive foundation for understanding why Strategic Workforce Management approaches become necessary and how broader societal tensions emerge in subsequent chapters.

Keywords: Expertise transformation; Artificial intelligence; Meta-intelligence; Cognitive development; Human-AI collaboration (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-11748-9_10

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DOI: 10.1007/978-3-032-11748-9_10

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