The first Monday of September you sit down at your desk and realize the summer was good for something. You know what an agent is. You know why the context window isn’t an infinite box. If someone tells you “we’ll train it on your data”, you no longer nod automatically. Then you open your email,

Under some sun umbrella, on some beach in Italy, there’s a man in a white vest, mirrored sunglasses and a newspaper hat. He knows everything about everything, and explains it to anyone who passes in front of his sun lounger. I’ve been telling his story all summer and never gave him a name. It’s Rocco!

There’s one thing I’ve learned in two years of conversations about AI with entrepreneurs, CEOs, and technical leaders. The decision almost never comes down to the numbers. The same decision-maker who, faced with an important hire, weighs options, compares, asks for data — with AI goes on gut instinct. And doesn’t notice. They think they’re

What we’ve learned at IdeaTech The great technological revolutions of the past — steam, electricity, computing, the internet — share a property we take for granted: they were always fast for markets, but slow for people. The first, steam, lasted a century. Those who were coachmen died as coachmen. The next generation dealt with steam

Over more than 24 months of AI on the market, I’ve had the chance to meet many companies and many teams — and I’ve had to navigate the introduction and evolution of AI inside IdeaTech itself (and it’s not over yet…). At first I supported every approach to AI that came my way, proposing projects,

The experiment Let’s do an exercise together. It’s simple, it takes five minutes, and by the end you’ll know something important about yourself and the way you work with AI. Take a photo. Any photo. One you like — a landscape, a portrait, an urban scene. Something you look at and think: “yes, this one