Is AI Development Really The CIO’s Responsibility?

For years, the corporate technology hierarchy was relatively straightforward. The CIO owned technology. The CEO owned strategy. The board provided oversight. AI is scrambling those lines.

Here is the paradox: the more important AI becomes, the less likely it is to belong to the CIO alone. And that may make the CIO more powerful, not less.

“As AI becomes more important, the CIO has become more influential and less isolated in both the C-suite and in the context of corporate governance,” says Jim Drury IV, Managing Director at JamesDruryPartners, a corporate board advisory firm. “Artificial intelligence is much more than a technology upgrade or modernisation initiative. Its scale and impact reverberate enterprise wide, so responsibility for evaluating the risks and opportunities it presents, along with development of AI strategy, integration, and utilisation will increasingly be shared across the leadership team.”

That gets to the real issue. AI is not simply changing companies’ technology stacks. It is changing how people work, how jobs are designed, how companies operate and, potentially, how they compete.

So perhaps the better question is not who owns AI? It is who owns the business outcomes AI is supposed to create?

 

The CIO’s Job Is Getting Bigger Not Smaller

 

There is a legitimate concern that CIOs could lose territory as CEOs, chief AI officers and individual business units take greater responsibility for AI. But counting how much of AI the CIO exclusively controls may be the wrong way to measure influence.

The strongest CIOs are becoming the bridge between what AI can do and what the business actually needs it to do.

“CIOs remain essential, but they now often find themselves working more closely with business leaders and functional officers, CHROs in particular as AI drives organisational change by reshaping strategies, job design, operational workflows, and performance expectations,” Drury says.

That puts the CIO in a different position than during previous waves of enterprise technology adoption. The job is not simply to determine what AI can do, but where it can produce meaningful value for the business.

As Drury puts it, “Strong CIOs translate technical possibilities into business outcomes, and the most effective ones start by evaluating the business case for AI, not the technology itself.”

The pressure to “do something with AI” is enormous. But adopting AI and creating value from it are not the same thing. A sophisticated model looking for a business problem is still a poor investment.

And once a company finds a problem worth solving, the work rarely stops with technology.

If AI automates part of a professional role, for example, the CIO may oversee architecture, security and integration. But who redesigns the workflow? Who decides how the job changes, what employees need to learn, what customers should experience and how success will be measured?

Suddenly, AI is not just a technology issue. It is a workforce issue, an operating issue and a strategy issue. That helps explain why the CIO-CHRO relationship could become one of the more consequential C-suite partnerships of the AI era.

And above both sits the CEO.

“CEO sponsorship is essential when AI affects strategy, operations, talent and culture, customers, or competitive position,” Drury says. “Without it, AI can lead to disjointed strategies and unrealised potential, rather than becoming a meaningful enterprise capability.”

The CEO does not need to select models or manage implementation. But once AI begins changing how the company operates or competes, treating it as another technology program becomes difficult to justify.

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The Power Shift Doesn’t Stop At The C-Suite

 

The boardroom is already starting to reflect the same shift.

“Given AI’s broad impact and strategic importance, it’s logical that the business discussions surrounding it have made their way to the boardroom,” Drury notes. “This is reflected in data on board recruitment, composition, meeting agendas, and committee assignments.”

And there is a measurable change in who is sitting at the table.

“For instance, while evaluating the boards of America’s largest companies, our firm noted that the number of CIOs and CTOs serving on corporate boards has gradually increased,” Drury points out. “While they occupied approximately 1.5% of board seats in 2019, today that number is approaching 3%. There is evidence that artificial intelligence is a primary driver of that increase, as boards find they must possess a higher degree of technological literacy to provide effective governance oversight in today’s business landscape.”

There is another paradox here. Responsibility for technology is spreading across the enterprise just as technology leadership is becoming more valuable in the boardroom.

But companies should be careful not to overcorrect by treating AI expertise as the latest must-have credential for every board appointment.

“That said, it is important that boards recruit directors who are capable of contributing across a broad range of business matters and avoid filling their ranks with members whose expertise is limited to a single issue or function,” Drury advises.

AI literacy matters. But knowing AI is not the same as knowing how to govern a company.

“The board’s role is oversight, not execution,” Drury says. “Directors should ask whether management is solving the right problems, allocating capital wisely, measuring results, and managing risks such as security, fairness, transparency, and accountability.”

That means resisting another temptation of the AI boom: mistaking activity for progress.

“Directors do not need to be AI experts, but they do need enough literacy to challenge assumptions and distinguish substantive initiatives from AI theater,” Drury notes.

But that responsibility runs both ways. “It is also incumbent upon the CEO and executive team to keep directors informed about the opportunities, risks, and challenges facing the business, in addition to the strategic decisions that will impact its long-term direction.”

And AI theater may be a bigger governance risk than it appears.

Companies can appoint chief AI officers, establish committees, launch pilots and announce investments. None of those things, on their own, prove AI is making the business better.

The harder questions are less glamorous: What problem are we solving? Why is AI the right answer? What is the return? What could go wrong? And who is accountable if it does?

Which brings the argument back to the CIO.

AI is becoming too consequential to belong exclusively to any one executive. The CEO must connect it to strategy. The CIO must turn technological possibilities into business capabilities. The CHRO must navigate its impact on people and work. Business leaders must determine where it creates genuine value. The board must challenge all of them to prove it.

For CIOs, that does not have to mean losing ground.

The most influential CIOs of the AI era may not be those who fight hardest to keep AI inside their territory. They will be the ones who make themselves indispensable to the executives and directors trying to determine what AI actually means for the company.

The CIO may own less of AI on paper. In practice, that could leave them more influential than ever.