An Hour of Innovation: AI, Product, Tech and Career Growth

AI Isn’t the Problem! Why AI Adoption Fails at Work (95% Get Zero ROI) | Jay Kiew

Jan 17, 2026

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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.

Timestamps

00:00 Introduction

01:48 Why Leaders Misunderstand AI

03:22 How AI Reveals Organizational Dysfunction

05:58 SOPs and Critical Thinking for AI Success

08:41 AI Adoption and ROI Reality

13:19 Learning and Integration Matter More Than Tools

16:11 What AI Agents Really Are

18:03 How AI Agents Change Roles

22:42 Training Teams for AI Adoption

23:59 Why Teaching AI Tools Is Hard

25:49 Learning on the Job with AI

28:01 Essential Skills for the AI Era

29:03 Design Thinking and Influence

32:16 Why Human Perception Matters

33:17 Change Fluency as a Future Skill

34:13 AI’s Real Impact on Productivity

36:19 Asking Better Questions with AI

37:55 Practical AI Use at Work

39:38 Innovation Q&A

Connect 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