Téléchargez le livre : The AI Competency Paradox

The AI Competency Paradox

Why AI Doesn't Replace Jobs, but Reshapes Organizational Competence

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Éditeur :

Springer


Paru le : 2026-02-20



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Description

This book explores how artificial intelligence disrupts the cognitive foundations of human expertise. It introduces the AI-Competency Ceiling and the Procedural Memory Paradox—concepts that explain how AI-assisted performance accelerates early skill acquisition while impeding mastery. Drawing from neuroscience, skill acquisition theory, and over 150 years of technological disruption, the book presents a revised Dreyfus model, and case studies from Netflix to Toyota demonstrating the core messages of the book. It offers strategic frameworks for preserving cognitive capital, including Strategic Workforce Management, Meta-Intelligence Development, and mechanisms for sustainable AI adoption. More than a guide to adaptation, it challenges readers to consider whether thinking remains fundamentally human when cognition is outsourced.
An essential reading for executives, strategists, policymakers, and educators navigating the tension between operational excellence and cognitive resilience.
Pages
317 pages
Collection
n.c
Parution
2026-02-20
Marque
Springer
EAN papier
9783032117472
EAN PDF
9783032117489
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
9236 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
89,66 €
EAN EPUB
9783032117489
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
748 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
89,66 €

Prashant Singh Yadav is a systems thinker and CTO partner with over 20 years of experience in enterprise transformation based from Cambridge, U.K. He develops original frameworks that bridge AI, cognition, and organizational design—focusing on knowledge coherence, decision logic, and resilient systems. His interdisciplinary work spans cognitive science, epistemology, and emerging technologies such as blockchain and quantum computing.

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