It’s graduation season and industry leaders are being invited to inspire and set our future leaders off on a path to lead the next generation. This year’s common theme is AI, and the graduating class of 2026 sees right through the hype.

Why is there such a disconnect between these two demographics? Leaders have always talked about what’s going on in the world with a manifest destiny style demeanor. Hoping to inspire their workforce to do things that up to this point we thought impossible. Why is this specific topic resulting in such a polar opposite reaction?

Maybe it’s people entering the workforce and worried about the impact on their future careers. The amount of effort and time they have put into getting an education in a field that they may feel that AI threatens the existence of. Maybe it’s something simpler. They have used the technology, they understand what it can and can’t do. They know that it’s not there yet–at least not in the ways that these leaders are claiming it to be.

It is true that LLMs as a means to doing work is not going away. It’s here to stay, and it’ll get better with time. We will build better harnesses and technology around the models to improve the output. Make it safer and more reliable. But it’s a fact that it’s not there yet.

The industry is moving fast. I’m are here to distill fact from fiction and cut through the hype. Each week I’ll dive into an AI topic and talk about practical application. What’s real, what’s fake, how to harness the technology and how I’m using it in my day to day with practical examples.

If you’ve wanted to get real insight into how to use AI in the technology industry, then you’ve stumbled on the right place.