Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 760: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21)

April 21, 2026

AI Summary

5 min read

Most companies in 2026 treat AI as a technical problem: pick the right model, buy the right licenses, and let IT roll it out. They spend 70% of their budget on tools, 20% on data plumbing, and maybe 10% on the humans who actually have to use the stuff. Then they are shocked when nothing changes. According to Boston Consulting Group, 70% of AI's core value comes from people and processes, not from the model or the context engineering. The gap between individual AI wins and enterprise ROI is not a tool gap. It is a people gap. A recent study found that 54% of C-suite executives say AI adoption is starting to tear their company apart, because it is not in human nature to give up agency to an AI model. The top 5% of companies have cracked this by running a deliberate five-move change management playbook.

Why traditional change management fails with AI

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What you'll learn

1 (00:16) **The Core Thesis: AI is a Change Management Problem, Not a Technical One** - Jordan Wilson introduces the central argument that most companies misdiagnose AI adoption as a technical challenge, leading to failure.
2 (01:39) **Why Traditional Change Management Fails with AI** - The host explains that AI is fundamentally different from previous technological shifts like the cloud or CRM.
3 (03:35) **Introducing the Five-Move Change Management Playbook** - Wilson previews the five moves that separate the top 5% of companies from the rest.
4 (03:52) **Move One: Fund the 70% That Drives Behavioral Change** - The first move is to radically reallocate budget towards people and processes, not technology.
5 (17:34) **Move Two: Rebuild AI Native from Scratch** - The second move requires completely tearing up and rebuilding Standard Operating Procedures (SOPs), not just adding AI on top.
6 (20:37) **Move Three: Unlearn the Old Job, Not Just the Old Tool** - The third move focuses on the human side, requiring employees to fundamentally redefine their roles and identity.
7 (23:04) **Move Four: Ritualize Weekly Enablement Instead of Quarterly Training** - The fourth move shifts AI training from infrequent events to a regular, weekly team ritual.

+ Full timestamped outline available in the app

Show Notes

You think proper AI implementation is a technical problem for your company to solve? 🤔

Wrong.

It’s actually about people.

Maybe it’s because of the fast-pace nature of AI, and the fact there’s literally dozens of new AI tech drops each week that promise to change how we work, but the defecto response to showing ROI on AI always defaults to the technical side.
Yet, studies show building an AI-native organization is WAY more about change management than anything else.

We break it down, and show you the 5 moves the Top 5% are making to get it right.

AI Change Management That Works: 5 Moves The Top 5% Make — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Change Management vs. Technical Problem
AI Adoption’s People and Process Gap
Top 5% Change Management Playbook Steps
Budget Split: Funding People Over Tools
Dangers of AI Upskilling and Reskilling
Rebuilding AI-Native SOPs from Scratch
Weekly AI Enablement Rituals for Teams
Grading AI Behavioral Change, Not Tool Use
Enterprise ROI Gap in AI Adoption
Case Studies: Moderna, BBVA, JPMorgan AI Transformation

Timestamps:

00:00 AI adoption and change management challenges

04:39 AI change management challenges

08:57 AI's impact on workplace dynamics

12:51 Prioritizing Team Discussions and Processes

15:11 Investing in AI vs. People

18:25 Building AI-native processes

20:59 Embracing AI in daily tasks

24:05 Weekly AI strategy meetings

28:13 AI performance in big tech reviews

31:11 Adapting to AI in the workplace

34:21 Joining the Start Here series