Because AI is such a new field, most good books about it are grounded only in experience. Higher reflection, grounded in academic theory, is left to the AI engineers, and organizations and individual workers are left to flounder in how to use this transformative software. However, in this book, Gleb Tsipursky attempts to ground his experiences consulting with companies about AI into rigorous psychology. He seeks to show how organizations can position themselves so that their employees will adopt the new technology successfully instead of rebelling in fear.
He divides organizational attitudes and individual attitudes into a handful of general archetypes. These types may not accurately describe each employee, but like the Myers-Brigg tests, they give us language to describe how people react to this technology. For instance, some might be cautiously optimistic while others might be AI evangelists. These types move the conversation from individual productivity to how to lead by helping people.
Then chapter by chapter, he delineates the central issues that AI adoption triggers, like ethics, job replacement, or continual improvement. He uses these types to discuss about how leaders should talk about these issues and persuade even the most recalcitrant. His ultimate goal is to increase overall AI engagement to aid productivity and profit.
Compared to most books about AI, this book stands out for its intellectual rigor. While the issue is more acute – will we still be talking about AI adoption in 5-10 years? – the theoretical approach is more timeless and classic. It avoids most books’ common pitfall of grounding themselves in mere emotionalism. For those interested in how to thoughtfully reflect on AI by leading their organizations, this book offers a way forward to progress and to increased success over the long term. Where most books appeal just to hype, Tsipursky offers substance and illumination.
The Psychology of AI Adoption at Work: From Resistance to Results
By Gleb Tsipursky
Copyright (c) 2026
Georgetown University Press
ISBN13 9781647127497
Page Count: 280
Genre: Artificial Intelligence, Organizational Leadership
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