Most teams adopt AI, expecting a breakthrough, but end up frustrated, disappointed, and wondering what went wrong when productivity doesn’t improve.In this episode of An Hour of Innovation podcast, Vit Lyoshin sits down with Jay Kiew, a globally recognized expert in organizational change and transformation, to unpack why so many AI initiatives fail to deliver value, even when the technology itself is powerful and widely available.They explore why AI alone does not create productivity or innovation, and why research shows that nearly 95% of companies see little to no ROI from their AI initiatives. Jay explains how broken processes, weak critical thinking, and low change readiness quietly sabotage even the best AI tools. Instead of chasing the next technology, this episode reframes AI adoption as a human and organizational challenge, one that requires mindset shifts before tools can deliver results.Jay Kiew is a change strategist and transformation leader who works with organizations navigating complex change at scale. He is known for helping leaders move beyond tool-driven thinking toward building adaptive, change-ready cultures. In this episode, Jay’s perspective matters because it challenges the assumption that AI failures are technical problems and shows why leadership, process discipline, and learning capability are the real differentiators.Takeaways* AI does not create productivity by itself; it only amplifies the quality of existing processes and decision-making.* Most AI initiatives fail not because of weak models, but because teams cannot clearly explain how their work actually gets done.* Research showing that 95% of companies see no AI ROI reflects organizational readiness gaps, not a lack of AI capability.* Poorly defined workflows become painfully visible the moment AI is introduced into a team.* Leaders often deploy AI as a solution before agreeing on what problem they are trying to solve.* Organizations that struggle with change management tend to struggle the most with AI adoption.* AI agents fail when humans cannot articulate rules, context, and success criteria for the work.* Critical thinking is becoming more valuable than technical AI skills as automation increases.* Change fluency, the ability to adapt continuously, is emerging as a core career skill for the next decade.* Teams that succeed with AI focus less on tools and more on learning, feedback loops, and behavior change.Timestamps00:00 Introduction01:48 Why Leaders Misunderstand AI03:22 How AI Reveals Organizational Dysfunction05:58 SOPs and Critical Thinking for AI Success08:41 AI Adoption and ROI Reality13:19 Learning and Integration Matter More Than Tools16:11 What AI Agents Really Are18:03 How AI Agents Change Roles22:42 Training Teams for AI Adoption23:59 Why Teaching AI Tools Is Hard25:49 Learning on the Job with AI28:01 Essential Skills for the AI Era29:03 Design Thinking and Influence32:16 Why Human Perception Matters33:17 Change Fluency as a Future Skill34:13 AI’s Real Impact on Productivity36:19 Asking Better Questions with AI37:55 Practical AI Use at Work39:38 Innovation Q&AConnect with Jay* Website: https://www.changefluency.com/ * LinkedIn: https://www.linkedin.com/in/jaykiew-change-fluency/ * Instagram: https://www.instagram.com/changefluency * Book: https://www.amazon.com/Change-Fluency-Principles-Uncertainty-Innovation/dp/1774586991 Sponsors* Google Workspace: Collaborative way of working in the cloud, from anywhere, on any device - https://referworkspace.app.goo.gl/A7wH * Webflow: Create custom, responsive websites without coding - https://try.webflow.com/0lse98neclhe * MeetGeek: Record, transcribe, summarize, and share insights from every meeting - https://get.meetgeek.ai/yjteozr4m6ln Connect with Vit* Substuck: https://substack.com/@vitlyoshin * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin * Podcast: https://www.anhourofinnovation.com/

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