Do you need a CAIO or does your CHRO already own the future?

AI is now part of almost every leadership conversation in the GCC, and the question leaders keep returning to is simple: who owns it? Some are creating a Chief AI Officer; others lean on the CIO or CTO. But a different reality is taking shape. AI is changing work faster than structures can keep up, which means the real ownership question is not about technology. It is about people.

Across the UAE and Saudi Arabia, AI is no longer experimental. Microsoft's Global AI Diffusion Report ranks the UAE first among working-age populations actively using AI, at 70.1%, and Saudi Arabia, which has declared 2026 its "Year of AI" leads the world in public sector adoption. This is happening in core operations, not at the edges: Saudi Aramco alone expects AI to generate up to $5 billion in value. And the work itself is being reshaped in real time. Routine tasks are automated, decisions are more data-informed, and frontline roles now interact directly with AI. As organizations move toward "agentic" AI where the technology takes on more responsibility within workflows, what they expect from people changes too.

Technology leaders build and deploy AI, and that work is critical. But adoption does not happen at the point of deployment. It happens when leaders trust AI-informed decisions, when teams change how they work, when roles evolve to include oversight of AI rather than just execution, and when employees understand where they add value alongside it. Without that shift, investment never becomes performance.

Korn Ferry's GCC AI Adoption 2026 Survey shows 77% of organizations have not moved beyond pilots into scaled deployment. Ownership is a large part of why. Accountability for AI sits with IT, while HR the function most exposed to how AI reshapes roles, skills, and performance is nearly absent from it. The result is predictable: only 1% of organizations describe their workforce as fully ready. The constraint is no longer access to technology. It is who owns the change.

Taline El Fakhry, a Senior Client Partner in Korn Ferry's Technology practice, says: "The organizations that struggle are rarely the ones with the wrong technology. They are the ones who treated AI as an IT rollout. The clients pulling ahead put the people agenda and the technology agenda in the same room, owned by leaders accountable for both. When that ownership is clear, adoption follows. When it is not, you get expensive tools and a workforce that quietly carries on as before."

The CHRO is moving into the center of this change

This is where the CHRO becomes more central than ever, not because they own the technology, but because they own how work changes. That means redefining roles as AI absorbs more tasks, helping leaders shift from decision-makers to decision-shapers, building skills that pair human judgment with AI insight, and carrying employees through the uncertainty. These are not traditional HR activities. They are business transformation priorities, and they sit with the CHRO.

The CAIO question misses the real challenge

A CAIO can bring structure, coordinate initiatives, and create focus. But it does not solve the hardest part: changing behavior at scale. AI creates value not when it is implemented, but when it is used well in everyday work and that depends on leadership capability, workforce readiness, role clarity, and trust in how AI is applied. Every one of those is a human challenge. Organizations move quickly on tools while underestimating how long people take to adjust; leaders experiment with AI without changing how they lead; and progress stalls not because of the technology, but because of the human shift it demands.

What this means for CHROs

The practical move is to stop waiting for someone else to own adoption and claim the workforce side of the AI agenda before it is assigned by default in partnership with technology leaders, not in competition with them. In practice, that looks like three things: getting HR into the room where AI investment decisions are made, rather than briefed on them afterward; building a workforce-readiness plan with the same rigor as the technology roadmap, anchored to the roles and skills AI will actually change; and giving managers both the capability and the permission to redesign how their teams work, because that is where adoption is ultimately won or lost.

The CAIO question, in the end, is the wrong place to start. Whether or not an organization creates the title, someone has to own the human shift that turns AI investment into performance. The CHRO who steps into that role does not need a new acronym to own the future. They already do.

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