The Strange Thing Companies Are Learning From Thousands of AI Agents

The hardest part of deploying AI at scale is turning out not to be intelligence. It is getting organizations to stop working against themselves. Thirty thousand AI agents sounds like the kind of sentence Silicon Valley likes to throw around before reality catches up. Except reality may already be catching up. Prosus, the global technology and ecommerce group, recently said it has deployed more than … Continue reading The Strange Thing Companies Are Learning From Thousands of AI Agents

What is Art?

When photography first appeared, painters didn’t celebrate. They panicked. Suddenly, a machine could capture reality with a precision no human hand could match. No need to master anatomy for years, no need to understand light through endless trial and error, no need to mix pigments until your fingers carried the memory of color. A camera could do in seconds what took painters decades to approximate. … Continue reading What is Art?

Orchestrating Intelligence

Why AI Governance Is No Longer About Controlling Outputs, But Entire Systems For a while, the problem of artificial intelligence seemed relatively contained. Models generated answers, some brilliant, some flawed, and the risk could be summarized in a single, almost harmless phrase: “saying the wrong thing.” It was a problem of language, of content, of accuracy. Today, that framing feels outdated. With the rise of … Continue reading Orchestrating Intelligence

The Only Job AI Can’t Take…

…Is the One You Haven’t Defined Yet There is a quiet misunderstanding shaping how most people think about artificial intelligence. It sounds reasonable, almost comforting. The idea that the future of work will be divided between manual labor and intellectual labor, and that one of those will somehow remain safer than the other. It is a clean narrative. It is also already obsolete. “The real … Continue reading The Only Job AI Can’t Take…