One of the most enjoyable parts of my business is working with agency leaders to help them chart a path through today's noise. I see a map evolving in my mind, and it all starts with understanding where value comes from.
A CEO told me his firm felt like a ship with barnacles on it. He was right...but you can't solve for barnacles. Here's why the models that sound best fit worst, what Huge's public experiment proved, and two exercises that help you convert the fog into a real diagnosis.
Your best clients can't make a decision right now, and you're misreading why. It isn't caution about budget. They're frozen, and they're waiting for the machine to hand them judgment it can't give. That's the paradox sitting under the paralysis.
In his recent 85-minute interview with The Economist, Elon Musk laid out a future so expansive it barely fit in the room. But will that room still be there?
Every time your team uses AI where the training data is thin, the output arrives fast and the tax follows: evaluating, correcting, reworking. Workday's 2026 research says 37–40% of the time AI saves gets eaten by checking its work. I think they're optimistic. Here's why.
Altman’s judgment day came and went in a single interview. Yours arrives every morning, in the thousand small calls no machine can make for you. For the leaders willing to do the thinking, it’s the real opportunity.
Metrics are good, and it is even better when people are looking at them, but being aware of the challenges they present is probably even more important.