A new global CEO survey has landed on an uncomfortable answer to who owns enterprise AI success, and it is not the chief technology officer. It is the CHRO, and the data behind that shift is starting to pile up from more than one direction at once.
IBM’s Institute for Business Value, working with Oxford Economics, surveyed 2,000 CEOs and senior leaders across 33 geographies and 21 industries between February and April 2026. Fifty-nine percent said they expect the CHRO’s influence to grow over the next few years. Among companies that already have a Chief AI Officer, the number was unanimous: every single CEO in that group expects the CHRO’s influence to rise by 2030. Talent leadership and technology leadership, in other words, are converging into the same conversation, and 77 percent of respondents said as much directly.
The Adoption Gap CEOs Cannot Engineer Around
The IBM data points to a specific reason CEOs are handing HR more of the AI mandate: the technology keeps clearing the capability bar and stalling at the human one. Eighty-three percent of CEOs surveyed said AI success now depends more on people’s adoption than on the technology itself. Eighty-six percent believe their employees already have the skills to work alongside AI. Yet only 25 percent of those same employees use AI regularly in their jobs.
That 61-point gap between believed capability and actual use is not a training problem in the traditional sense, and it is not something an engineering team can close by shipping a better model. It is an adoption and change-management problem, which is the discipline HR has run for every other enterprise technology rollout of the last three decades. CEOs appear to be recognizing that pattern and routing the AI mandate accordingly.
Talent and Technology Leadership Are Merging
The IBM findings also flag a workforce-planning problem underneath the adoption gap: 53 percent of employees are expected to need upskilling for their current roles between 2026 and 2028, and another 29 percent are expected to need reskilling into different roles entirely over the same window. Deciding who gets reskilled, into what, and on what timeline is a workforce-planning exercise, not a procurement decision, which is another reason the CHRO’s remit is expanding rather than shrinking as AI scales.
HRTech has already tracked how this shows up in practice: HR’s newest job is planning capacity across humans and AI agents, allocating work between people and software systems that increasingly act with a degree of autonomy. The IBM survey suggests that capacity-planning function is now feeding directly into how CEOs score the CHRO’s performance.
Governance Is the Blind Spot Underneath the Optimism
The convergence of talent and technology leadership is happening faster than the governance structures meant to support it. Separate research from Gartner has found that only 13 percent of organizations believe they have adequate governance in place for AI agents, even as the research firm projects the average Fortune 500 enterprise will operate more than 150,000 AI agents by 2028. An HR function that is being asked to own adoption and reskilling for a workforce that increasingly includes software agents, without a governance framework to match, is inheriting risk as fast as it is inheriting influence.
The Hiring Evidence Cuts Against the Layoff Narrative
Separately from the IBM survey, firm-level spending and workforce data offer a second, independent signal pointing the same direction. Ramp, the corporate card and spend-management company, joined its own transaction data with workforce records from Revelio Labs across more than 21,000 U.S. firms, tracking headcount for 24 months after each company adopted AI tools. Companies in the top third of AI spending per employee, roughly $30 per employee per month in the first three months of adoption, grew total headcount 10.2 percent over two years. Entry-level headcount at those same companies grew even faster, at 12 percent, and the entry-level share of the workforce rose 1.15 percentage points relative to companies with low-intensity AI adoption, which saw no statistically significant headcount change at all.
Ara Kharazian, Ramp’s lead economist, notes the gains were not immediate: firms typically ran through a six to 12 month learning curve before headcount growth began, with the effect compounding afterward. That lag matters for how HR leaders read their own adoption metrics. A team that looks flat six months into an AI rollout is not necessarily failing; it may simply be early. It also complicates the industry’s dominant narrative of AI-driven layoffs, a trend HRTech has covered as it enters its own correction phase, with employers now absorbing the cost of cuts made too fast, as tracked in HRTech’s reporting on the AI layoff correction. The Ramp data suggests the companies getting AI adoption right are hiring through it, not cutting through it, and the difference shows up specifically at the entry level.
What This Means for the HR Leader
Three implications follow directly from this data, and none of them are optional if the CHRO’s expanding mandate is going to hold up under scrutiny.
First, adoption has to be measured and owned, not assumed. The 86-percent-skills-versus-25-percent-usage gap will not close itself, and HR is now the function CEOs expect to close it. That means building a real usage dashboard, not a training-completion dashboard, and treating low usage as an adoption failure to be diagnosed rather than a training success to be reported.
Second, workforce planning needs an AI-agent line item. With 82 percent of employees expected to need either upskilling or reskilling through 2028, and governance for AI agents still immature at 87 percent of organizations by Gartner’s count, HR needs a joint plan with IT and finance that treats agent deployment and human reskilling as the same capacity-planning problem, not two separate budgets.
Third, patience has a shelf life, but only if the fundamentals are in place. The Ramp data shows real headcount gains take six to 12 months to materialize even at well-executed high-intensity adopters. HR leaders should use that window to build the adoption infrastructure, not to wait passively for the numbers to turn.
The CHRO title has not changed. What CEOs expect that title to deliver has.
Source: IBM Newsroom
