THE ALGORITHMIC LEADER

AI adoption is no longer the hard part. Knowing what to do with it is.

Every organization now has access to the same AI models. Almost none of them are getting the same results.

The gap isn't technology. It's judgment: knowing where AI actually belongs in a business, what it can and can't be trusted to do, and who's accountable when it gets something wrong.

The Algorithmic Leader is a field guide for executives who need to make real decisions about AI, without becoming engineers first. In plain language, it explains how large language models actually work (and why they sometimes confidently make things up), how to tell a genuinely valuable AI use case from a fashionable one, what happens when an AI system fails in front of a customer, and how to lead a workforce through the change honestly.

Grounded in verified research, real legal cases, and current global regulation, and built around the same discipline used at the world's top business schools, this book gives leaders the frameworks, the vocabulary, and the questions to ask before their organization's next AI investment, not after.

Technology changes fast. The judgment required to use it well doesn't have to.