There’s something about AI adoption right now that feels very familiar to me. Not in a cynical way. In a pattern-recognition way. Years ago, during the height of Agile transformations, organizations didn’t struggle because Agile was wrong. The principles were solid. The benefits were real. But many companies didn’t extract the full value. Why? Because balance was lost. If the transformation was run by the PMO, it became reporting-heavy. If it was run by technologists, it sometimes became...

Every week, without fail, I have some version of the same conversation. It might be at a networking event. It might be with a client. Sometimes it’s friends or family. I mention that I work with AI, and almost immediately, the response is: “Oh! Have you seen this new tool?" "There’s one that makes presentations now." "I just tried something that rewrites emails, it’s amazing.” And honestly? They’re not wrong. The tools are impressive. New ones seem to pop up daily, each promising to

I recently had a conversation with my daughter. She’s Gen Z, thoughtful, and very skeptical of AI. Not in a casual way, but deeply, ethically opposed. Her concerns weren’t about job security or whether AI will replace humans. They were about the environmental cost, the socioeconomic impact, and the broader question of whether we’re creating something powerful without fully accounting for the consequences. I didn’t convince her. But the conversation stuck with me.