
AI Is Ready. Your Organization Isn’t.
Most leaders assume trust comes after accuracy. Get the model right, they think, and trust follows. It doesn’t work that way. Trust comes after predictability. Humans

Most leaders assume trust comes after accuracy. Get the model right, they think, and trust follows. It doesn’t work that way. Trust comes after predictability. Humans

There’s a line most companies cross without noticing, and it isn’t the line people worry about in privacy policies. The real line gets crossed the moment

I keep thinking about what happened right after Watson won Jeopardy. Everyone remembers the win, but almost nobody remembers what came right after it. Every executive

When the EU AI Act became enforceable, the most common response I saw from leadership teams was to forward it to legal. That instinct is understandable.

Most conversations about AI and global power focus on which country will build the most powerful model. America? Or China? Perhaps the European Union can move

Let me tell you something that most organizations do not want to hear. When a company tells a regulator, “We have a human reviewing every AI

I have been watching the conversation around voice cloning for the past few years, and most of it is focused on the wrong problem. The fear

We are closer to commercially useful quantum + AI systems than most skeptics think. And we are farther away than the hype crowd claims. Both are

Most companies I work with have already decided, without realizing it, that AI for social good is not a growth strategy. They treat it as a