The Chief Artificial Intelligence Officer: The Hottest New C-Suite Role Making $1 Million a Year

Nowadays, you can find a new office on the leadership roster or a noticeable void where one should be if you walk into the executive floors of a large bank, a multinational consulting firm, or a technology company practically anywhere in the world. According to executive search firm Heidrick & Struggles, the Chief Artificial Intelligence Officer, or CAIO, is the newest essential hire in corporate America. Two years ago, the position hardly made an impression on organizational charts, but today it commands compensation packages that average well over $1 million. The hunt for the ideal candidate has the urgency of a talent crisis since, in many respects, that is precisely what it is.

The figures paint a rather bleak picture. The number of CAIOs in the US increased by 70% in a single year, from 30 in 2023 to 51 in 2024, among the 35,000 companies examined in one analysis. Approximately 50% of FTSE 100 companies currently have a dedicated CAIO or equivalent, and 65% of those positions were created in the last two years, with 42% emerging since January 2024 alone. Nearly half of organizations have either already created the role or are actively planning to add it within the year, according to a KPMG survey. Only about 250 people are thought to be CAIOs worldwide. People who can actually do the job are being paid at levels comparable to long-tenured CFOs, which helps to explain why demand is outpacing supply.

The important question to ask is whether the majority of those currently holding the title are truly fulfilling the role’s requirements. This is the question that serious people in boardrooms are grappling with. Because there is a CAIO version that is essentially a senior data scientist with a better parking spot and a larger title. Then there is the version that the most advanced companies are focusing on: a person who can read the entire organization, recognize where AI offers real leverage, navigate a constantly changing regulatory environment, manage the ethics of implementing models that impact customers and employees, and explain all of this to a board that may have very little knowledge of the underlying technology. That second job is really challenging. And truly uncommon.

One of the best examples of what the position looks like at full implementation is Lan Guan, the Chief AI Officer at Accenture, who is embedded at the top of a multinational professional services company with a mandate that includes client delivery, internal tooling, talent development, and governance. Deepak Agarwal, the CAIO at LinkedIn, has been candid about how the position is changing. He noted that this year, the CAIO’s responsibilities have changed from piloting AI projects to operationalizing AI at scale, creating the framework for putting models into production, and integrating them with systems throughout the company. Most organizations are stuck at this point, where an effective CAIO either justifies the salary or doesn’t, between managing proof-of-concept projects and actually delivering AI to 100,000 employees in a reliable manner.

The Chief Digital Officer analogy is both instructive and a little warning. In the 2010s, when digital transformation was the main corporate concern, businesses hurried to establish CDO positions with a wide range of responsibilities. Some went on to become truly influential organizational change architects. Many turned into costly window dressing, outward manifestations of intent that lacked the structural authority required to make real progress. It’s possible that the CAIO position has a similar trajectory: a phase of enthusiastic hiring, followed by an assessment of which companies created the position with genuine teeth and which used it mainly for investor relations. Reckoning hasn’t fully arrived yet, as evidenced by the fact that 65% of FTSE 100 CAIO positions are under two years old.

The CAIO differs from the CTO or CIO, which may seem like ideal positions for AI strategy, in terms of organizational scope and full-time focus. AI doesn’t fit neatly into IT. It simultaneously touches on marketing, operations, finance, legal, human resources, and customer service, posing a coordination challenge that was not intended for current roles. No single current C-suite title has a clear, inherent mandate to oversee AI, as PwC made clear in its analysis. By offering the kind of enterprise-wide accountability that keeps AI from turning into a collection of disparate departmental projects that never come together to form anything cohesive, the CAIO closes that gap.

It seems that the $15.7 trillion AI economic contribution projected by 2030 has persuaded enough boards and CEOs that the benefits of saving the salary outweigh the drawbacks of lacking committed leadership. And when the alternative is giving up AI advantage to a competitor who hired better, $1 million a year—amazing as it sounds for a title that was hardly in the dictionary three years ago—begins to look like reasonable risk management. The race has begun. The table’s seat has been constructed. Whether the appropriate people are seated in it is now the question.