Do Not Hire a Chief AI Officer

I want to say something that might ruffle some feathers.

The Chief AI Officer is the fastest-growing executive title in the Fortune 500. IBM found that 76% of organizations now have a CAIO, up from just 26% in 2025.

The position commands median salaries north of $350,000, with seven-figure signing bonuses thrown around for top talent. And I think most of them are a mistake.

Before you close the tab, hear me out. I'm not anti-AI. In fact, I’m quite the opposite. I believe AI is the most transformative technology shift of our lifetime, which is precisely why I believe delegating it to a single executive is the wrong move. Here's why.

Let's start by addressing the elephant in the room. Approximately 60% of first-generation CAIOs leave within 18 months of hire. The pattern is consistent across industries. GM's first Chief AI Officer left after just eight months in a role that was created specifically for him. The role has become the highest-churn position in tech.

Why? Because the CAIO is usually handed accountability without authority.

Here's how it plays out. The CAIO is accountable for AI outcomes but doesn't control the budgets, teams, or product roadmaps that determine those outcomes. Business units can override governance without escalation. The role was often created under board pressure, with a mandate that was never clearly defined and organizational positioning that was wrong from day one.

Think about that. You're hiring someone to lead the most significant technological shift of our lifetime, but you're giving them responsibility without the power to actually make things happen. That's not a recipe for success. That's a revolving door.

Here's what I think is really going on.

The rush to hire a CAIO isn't a sign of AI maturity. It's a symptom of a deeper disease: leaders trying to delegate the most significant technological shift of our lifetime. It's the organizational equivalent of saying, "AI is important, so important that I'm going to hire someone else to figure it out for us."

But AI isn't a standalone function. It's a capability that should be embedded everywhere.

Think of AI like electricity. When electricity first emerged, companies probably experimented with "Heads of Electrification." But today, no one would dream of creating a Chief Electricity Officer. Because electricity is part of every process, every department, every product. AI should follow the same path.

Creating a Chief AI Officer often results in organizational buck-passing. Engineering waits for the CAIO to figure out the strategy. Marketing assumes the CAIO will own the tools. Sales thinks AI is someone else's problem. This creates a bottleneck and, more dangerously, a culture where people don't feel empowered — or responsible — for innovating with AI themselves.

The most successful companies will be the ones where every leader is responsible for figuring out how AI enhances their domain. It should be baked into how they think, lead, and execute.

Here's where I land on this. Only the CEO has the power and influence to integrate AI across an enterprise. Employees listen to the CEO. So do customers and investors. A CAIO, no matter how talented, doesn't carry the same authority and may even be stymied politically in a large or well-tenured executive team.

According to BCG, nearly 75% of CEOs now personally lead AI decisions, recognizing that AI is not just a technology upgrade but a fundamental shift in how organizations operate and decide. That's not a coincidence. It's a recognition that AI strategy is business strategy. You cannot delegate your competitive future to a department.

The CEO is the only executive with the authority to align incentives across the enterprise, embed AI into the operating model, and enforce the investment discipline that yields long-term ROI.

Scaling AI beyond a pilot takes more than technical knowledge. It takes an understanding of how work does and doesn't get done inside the company, and how that needs to be reinvented. Those insights don't come from R&D labs alone. They come from finance, HR, compliance, customer service, and every other function.

And here's the thing: CEOs have the power to set company-wide metrics tied to AI outcomes and measure every executive on their success in commercializing AI in their own domain. That is how pilots become a practice, and a practice becomes your competitive advantage.

The counterargument I hear is: "But what about governance? What about ethics? What about risk?"

Fair questions. And here's my response: Ethics, like AI, can't be outsourced to a single role. If you put one person in charge of ethics, you create the illusion that no one else needs to think about it. That's how bad decisions slip through the cracks. Research from IBM shows that CAIOs consider compliance with AI ethics and governance their toughest challenge, yet they rank it as their lowest priority. AI governance isn't strictly the CAIO's job. It's an enterprise-wide responsibility.

True AI maturity isn't just technical; it's cultural. It requires a culture where every employee feels accountable for using AI responsibly. Microsoft frames it as "responsible use of AI is everyone's job, not just IT's". That's the right mindset to have in an organization.

So what should you do instead?

Start with the CEO: The CEO should be the chief AI advocate — not necessarily the technical expert, but the person who sets the vision, champions the transformation, and holds every executive accountable for AI in their domain.

Make AI everyone's job: Every department head should be responsible for figuring out how AI transforms their function. Every employee should be empowered to experiment with AI in their daily work.

Build a distributed leadership model: Harvard Business Review makes this point clearly: successful AI adoption comes from a distributed leadership model where responsibilities are shared across executives and departments. Effective AI leadership includes builders, operators, and strategists who collaborate across functions.

Treat the CAIO as transitional, not permanent: Some organizations may benefit from a temporary AI leader to accelerate capability-building. But the goal should be to make that role redundant. As one expert put it, the CAIO's success should be measured by their own planned obsolescence, weaving AI so deeply into the company's DNA that a dedicated AI leadership role becomes unnecessary.

I understand the temptation to hire a Chief AI Officer. It feels decisive. It signals to the market that you're serious about AI. It gives you someone to point to when the board asks, "Who's owning this?"

But that's exactly the problem. AI is too important to be owned by one person. It needs to be owned by everyone, starting with the CEO.

If the CEO isn't already acting as the chief AI officer — driving forward its internal use and customer-facing applications — that executive will eventually be out of a job, and that company is in danger of becoming obsolete, or at the very least, being beaten out by competition.

Don't hire a Chief AI Officer. Make AI everyone's job, and make the CEO the leader of that transformation.

Winning in the AI era will be less about the fanciest titles, but more about building a culture where every single person — from the CEO to the newest hire — understands that AI isn't someone else's responsibility, but theirs.

What do you think? Have you seen the CAIO role work — or fail— in your organization? I'd love to hear your experience. Reply to this newsletter and let's continue the conversation.