Strategy and economics for the boardroom, plus practical plays for the solo operator.
"Best AI books for business" gets asked by two very different people: an executive trying to figure out where AI fits in a strategy deck, and a solo founder or freelancer trying to figure out how to use AI to grow revenue this quarter. This list covers both, labeled so you can tell which is which.
Three economists make the case that AI is fundamentally a drop in the cost of prediction, and walk through what that does to pricing, hiring, and competitive advantage. The closest thing to a required MBA text on AI.
View on Amazon →Mollick teaches at Wharton and writes for people running teams, not researching algorithms. The most actionable book on this list for a manager deciding where AI actually saves time versus where it just looks impressive in a demo.
View on Amazon →Written for the one-person business, not the enterprise. Covers eight ways to build or grow a small business with AI, including automating the parts of an existing business that eat your whole week, with a pricing chapter aimed at freelancers and consultants specifically.
Read More →A former Google China and Microsoft executive lays out how AI competition actually plays out between markets, useful context if your business operates internationally or competes with companies that do.
View on Amazon →Written by a DeepMind co-founder turned Microsoft AI CEO, this is the most useful book for a leadership team trying to think several years ahead about regulation, containment, and competitive disruption.
View on Amazon →See the full picture in our flagship Best AI Books reading list →
Eric Coste