Episode Details

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:

1. AI Change Management vs. Technical Problem
2. AI Adoption’s People and Process Gap
3. Top 5% Change Management Playbook Steps
4. Budget Split: Funding People Over Tools
5. Dangers of AI Upskilling and Reskilling
6. Rebuilding AI-Native SOPs from Scratch
7. Weekly AI Enablement Rituals for Teams
8. Grading AI Behavioral Change, Not Tool Use
9. Enterprise ROI Gap in AI Adoption
10. 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

Keywords: 

AI change management, AI adoption, change management strategies, AI transformation, enterprise AI ROI, 

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