CNBC: most firms hire chief AI officer

Artificial intelligence is no longer sitting off to the side with the IT team. It is getting its own seat in the executive suite — and that is the real news here. IBM’s latest global CEO study says 76% of surveyed organizations now have a chief AI officer, up from 26% in 2025. But the catch is that formal ownership does not automatically mean real payoff. ### Why does a chief AI officer suddenly matter? For the last two years, a lot of companies treated AI like a tool rollout — buy models, test copilots, ask the CIO or CTO to supervise it, and hope business units figure out the rest. That stopped looking sufficient once AI touched pricing, hiring, customer service, software development, legal review, and strategy at the same time. A chief AI officer is basically an answer to one problem: if AI affects everything, someone has to own the cross-company decisions. (cnbc.com) ### What changed this year? The speed is the striking part. IBM says the share of surveyed organizations with a chief AI officer jumped 50 percentage points in a year — from 26% to 76%. That is not a slow governance cleanup. That is a boardroom scramble. The same study says nearly two-thirds of CEOs are comfortable using AI to help inform major strategic decisions, which tells you this has moved beyond experimentation and into actual power. (cnbc.com) ### Why isn’t the CIO enough? Because the problem is not just technical anymore. A CIO can run infrastructure. A CTO can shape product architecture. But AI creates policy questions, workforce questions, risk questions, and budget fights across the entire company. IBM’s study also found 59% of CEOs expect the CHRO’s influence to grow, which makes sense — once AI starts changing jobs and workflows, people management becomes part of the operating model, not an HR side issue. (newsroom.ibm.com) ### So are companies actually getting value? Not cleanly. The India numbers make that obvious. ISACA’s 2026 AI Pulse Poll says 86% of Indian employees use AI at work, but only 35% say AI’s return on investment has met or exceeded expectations. That is better than the 22% global figure cited in coverage of the poll, but it still means most organizations cannot yet say the spending is paying off the way they hoped. (cnbc.com) ### Why is ROI lagging adoption? Because usage is easy to count, but value is harder to prove. It is simple to say employees are using chatbots, coding assistants, or document tools. It is harder to show that those tools raised revenue, cut cycle times, reduced errors, or improved margins after accounting for software costs, integration work, security controls, and retraining. A lot of AI programs are still in that messy middle — heavily used, weakly measured, and unevenly governed. (newkerala.com) ### Where does governance fit in? Right at the center. ISACA’s India data says 49% of organizations now have a formal AI policy, up from 32% in 2025, but 23% still have only limited policy and 20% have none. That means many employees are already using AI inside organizations that still have partial rules or no rules at all. A chief AI officer can help close that gap — but only if the role comes with authority, not just a title. (newkerala.com) ### Is this really a new permanent C-suite job? Maybe — but maybe not in the exact form. Some companies will keep a standalone chief AI officer because AI is now strategic enough to justify a dedicated executive. Others will likely fold the job back into CIO, CTO, COO, or product leadership once the operating model stabilizes. The underlying shift is the durable part: AI now has executive-level accountability. (newkerala.com) ### What’s the bottom line? The boardroom story is not “everyone loves AI.” It is “everyone now thinks AI is important enough to govern from the top.” That is a big step. But the harder step comes next — turning widespread use into measurable returns, clear rules, and fewer expensive experiments that never quite become a business. (cnbc.com)