A field guide for CEOs
Do You Need AI Leadership Yet?
Four in five of your employees already use AI tools, most without approval. Companies abandoned 42 percent of their AI initiatives last year. And the Chief AI Officer title, after a 478 percent hiring spike, is already cooling, because a title was never the answer.
This guide helps you decide whether your company needs dedicated AI leadership now, later, or not at all. It covers the seven triggers that say the question is overdue, the evidence that hiring too early fails, the full ladder of options from doing nothing to a full-time executive, and a ten-question self-assessment that gives you a score and a path.
One of the three possible answers is "not yet." We wrote the guide anyway. An advisor who cannot say no to your money is a salesman.
Where the score points, the shelf continues: if it says hire, How to Hire a Chief AI Officer covers the search. If it says outside advice, buy carefully: How to Buy AI Advice shows you how.
Inside
- Who Owns AI at Your Company Today? What the ownership data shows, and the one-name test.
- What Nobody-in-Charge Costs. Abandonment rates, the shadow AI breach premium, incident data.
- The Title Is Not the Question. The CAIO boom, the cooling, and what the market learned.
- The Seven Triggers. The signals that say the ownership question is already overdue.
- Hiring Too Early Fails Too. The premature-hire failure pattern and its arithmetic.
- The Ladder of Options. Seven structures between nothing and a full-time executive, with honest weaknesses.
- The Self-Assessment. Ten questions, a score, three exits.
- The Floor. Four things to do this quarter regardless of your answer.