For many years, technology projects were relatively predictable. A new system was implemented, a process was automated, or an application was modernized. The challenges were technical, but the path was usually clear.

Then Generative AI arrived.

I still remember some of the early conversations with technology leaders. Almost every discussion had the same underlying question: "How quickly can we adopt AI?" Yet very few people were asking a more important question: "Why are we adopting AI?"

Throughout my career in enterprise technology, ERP, cloud, and AI transformation, I've seen organizations succeed when they focus on solving real business problems. I've also seen companies chase trends because everyone else was doing it.

Today's conversation reminded me that technology leadership is no longer about buying the latest tool. It's about balancing innovation, security, business value, and human judgment.

As AI becomes part of every organization, the challenge is not whether to adopt it. The challenge is adopting it thoughtfully.

Episode # 188

Today's Guest: Kevin Carlson, TechCXO Partner

Kevin Carlson is a seasoned tech exec and a go-to expert on AI's real-world impact within businesses. He's been a CTO or CISO four times over, working across different industries in both North America and Europe, so he brings a genuinely practical viewpoint to how AI is changing business and the world.

Website: TechCXO

What Listeners Will Learn:

Why do many AI initiatives fail despite large investments
How technology leaders should balance innovation and business value
The difference between AI hype and AI outcomes
Practical approaches for introducing AI into organizations
Why starting small often leads to bigger success
Common mistakes enterprises make during AI adoption
How security leaders should think about AI risks
Data privacy considerations when using public AI models
Why governance matters more than ever
How AI is changing the role of developers
Why communication and product thinking are becoming critical skills
The rise of AI-assisted software development

Resources:

TechCXO