Gleb Tsipursky: The Psychology of AI Adoption at Work, Gebunden
The Psychology of AI Adoption at Work
- From Resistance to Results
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- Verlag:
- Georgetown University Press, 09/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9781647127497
- Artikelnummer:
- 12674934
- Umfang:
- 280 Seiten
- Erscheinungstermin:
- 1.9.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
A step-by-step leadership guide to help overcome employee resistance to AI, boost innovation, and unlock AI's full business value
As leaders rush to adopt artificial intelligence (AI)--driven by its potential to revolutionize operations, boost return on investment, and drive innovation--they often encounter significant hurdles. These challenges are not simply technical but also deeply human, involving employee resistance, cognitive biases, and entrenched organizational culture, all of which undermine successful AI adoption.
Drawing on over twenty-five years of consulting experience and rigorous behavioral science research, in The Psychology of AI Adoption at Work Gleb Tsipursky shows business professionals at all levels how to harness their greatest resource while solving their biggest challenge: their anxious and resistant people. You will learn how to boost employee engagement, dismantle cultural roadblocks, and build the psychological sense of safety required for AI-powered innovation that maximizes efficiency and effectiveness. Through real-world case studies, including many from clients, readers will see how to transform AI skeptics into empowered AI champions, design upskilling programs that drive engagement and innovation, and weave ethical governance guardrails into every deployment.
The Psychology of AI Adoption at Work includes frameworks, conversation scripts, and metrics based on more than 100 consulting projects, along with over 50 interviews with leaders from Microsoft, Uber, Experian, and many other leading firms. This book delivers a practical road map to turn employee anxiety into energy, resistance into results, and promising pilots into scalable breakthroughs, cementing a durable competitive edge in the AI age.