In this episode, behavioral scientist Gleb Tsipursky discusses the psychological barriers to AI adoption in organizations and how leaders can overcome resistance to unlock AI's full potential. Learn about the three key obstacles and practical strategies to foster effective AI integration.

key topics

Psychological barriers to AI adoption

The role of behavioral science in organizational change

Strategies for building internal AI capabilities

Metrics for measuring AI success

The importance of employee ownership in AI initiatives

Chapters

00:00 Introduction to AI adoption challenges in organizations

2472:10:20 Gleb Tsipursky's background and focus on behavioral science

3388:50:23 The decision-making patterns in tech booms and busts

7305:30:28 Why technology is not the main obstacle to AI adoption

8861:03:49 The psychology of AI adoption and common obstacles

12305:30:38 Building internal AI capabilities and avoiding vendor dependence

17333:17:33 Scaling expertise without creating dependency

20833:17:38 Measuring AI success: efficiency and effectiveness metrics

31083:18:10 Common underestimations in AI adoption efforts

496388:52:41 Immediate actions for leaders facing AI organizational stalls

keywords

AI adoption, organizational change, behavioral science, AI resistance, leadership, AI metrics, AI capability building, Gleb Tsipursky, Dr. Gleb Tsipursky, Disaster Avoidance Experts, enterprise AI adoption, AI adoption, psychology of AI adoption, AI transformation, enterprise AI, AI resistance, employee AI adoption, AI change management, AI implementation, AI strategy, AI ROI, AI business value, AI productivity, generative AI adoption, workplace AI, AI leadership, AI training, internal AI capability, shadow AI, AI automation, behavioral science AI, AI adoption barriers

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Dr. Gleb Tsipursky, CEO of Disaster Avoidance Experts, joins AI InterConnect to explain why enterprise AI adoption often fails even when the technology works.

Gleb reveals the psychological barriers that prevent employees from embracing AI, including job anxiety, threats to professional identity, and the stigma that causes employees to hide successful AI use. He explains why traditional change management often misses these problems and how leaders can build internal AI capability around real employee workflows.

The conversation also examines AI ROI, efficiency versus effectiveness, shadow AI, employee-led automation, and why usage metrics alone can create a false picture of AI success.

Gleb also shares how organizations can diagnose stalled AI initiatives and turn AI adoption into measurable business value.

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