One of the quiet myths around AI adoption is that success comes from staying firmly in control. That if we just give the right instructions, apply enough structure, and reduce uncertainty, AI will behave exactly as we want. In reality, the opposite is often true. The biggest breakthroughs with AI tend to happen not when we tighten control, but when we learn how to collaborate. ------------- Context: Why Control Feels So Important ------------- Most of us were trained in environments where competence was measured by precision. Clear plans, predictable outputs, and repeatable processes were signs of professionalism. Control was not just a preference, it was part of our identity. If we could define every step and anticipate every outcome, we were doing our job well. AI disrupts this deeply ingrained model. It does not behave like traditional software. It responds probabilistically, offers interpretations rather than guarantees, and sometimes produces outputs that are surprising, imperfect, or simply different than expected. For many people, this creates discomfort before it creates value. That discomfort often shows up as over-structuring. We try to lock AI into rigid instructions. We aim for the perfect prompt. We narrow the interaction so tightly that there is no room for exploration. On the surface, this looks like responsible use. Underneath, it is often an attempt to preserve a sense of control in unfamiliar territory. The challenge is that excessive control quietly limits what AI can contribute. It turns a potentially collaborative system into a transactional one. We ask, it answers, and the interaction ends. What we lose in that exchange is insight, perspective, and the chance to think differently than we would on our own. ------------- Insight 1: Control Is Often a Comfort Strategy ------------- When we encounter uncertainty, control feels stabilizing. It gives us the sense that we are managing risk and protecting quality. With AI, this instinct is understandable. We worry about errors, misalignment, or appearing unskilled if the output is not perfect.

Do you think someone has to be tech-savvy to benefit from AI? Or is knowing how to type enough? Agree or disagree?

What’s ONE thing AI helped you do this week that used to take hours?

I’m still learning and experimenting with AI, and I’d really love real answers—not hype. What’s ONE thing you truly want AI to help you achieve?

Hello Everyone! My name is Marc Nolan and am a retired CEO of a software consulting firm and the CEO of the best part-time job I've held 51 years (and counting)- training NFL, College and HS football kickers and Punters (and yes many of the kicking specialists' you see on Friday nights, Saturdays and Sunday- but no name dropping). With SKOOL, I serve the High School Parents of the athletes trying to understand the CHAOS of what the NCAA is doing and I bring CLARITY to them. Cool fun fact. I also firewalked with Tony Robbins way back in NYC in 1986 which was one of those great moments you never forget!