The AI Competency Paradox

Why AI Doesn't Replace Jobs, but Reshapes Organizational Competence
Erscheinungsjahr 2026
ISBN: 978-3-032-11747-2
Verlag: Springer

Buch, Englisch, 317 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 668 g

Reihe: Future of Business and Finance

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Yadav, Prashant Singh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
• Sozialwissenschaften Pädagogik Pädagogik Bildungswesen: Organisation und Verwaltung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie

Inhaltsverzeichnis

Part 1: The Myth of AI Replacing Jobs – Why AI’s Impact Is Misunderstood.- Chapter 1:   – Why AI doesn’t function as a simple “job killer.”.- Chapter 2:   – The difference between job elimination and job transformation.- Chapter 3:   – How AI disrupts skill acquisition rather than just employment.- Part 2: The AI-Competency Paradox – How AI Challenges Traditional Skill Development.- Chapter 4:   – Why AI impacts different skill levels in unique ways.- Chapter 5:   – The hidden cost of AI automation in skill erosion.- Chapter 6:   – How organisations can realign skill development in an AI-driven economy.- Part 3: The Business Strategy Imperative – How Leaders Must Rethink AI Adoption.- Chapter 7:   – How AI-driven cost-cutting strategies backfire.- Chapter 8:   – Case studies of Tesla (failure) vs. Toyota (success).- Chapter 9:   – Practical strategies for sustainable AI-human collaboration.- Part 4: The Future of Work & Human Competence – What Comes Next.- Chapter 10:   – How AI transforms the definition of human intelligence & skill.- Chapter 11:   – Implications for society, policymakers, and education systems.- Chapter 12:   – Examining whether AI is a force for democratic knowledge-sharing or a capitalistic tool for economic consolidation.- Part 5: The Strategic Responses and Cognitive Sustainability.- Chapter 13:   – A roadmap for business leaders to navigate the next decade of AI-driven work.

Über Autor(innen)

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.