IBM’s latest CEO study finds that a vast majority of companies worldwide have now appointed Chief AI Officers (CAIOs). The IBM Institute for Business Value survey of 2,000 global CEOs finds that 76% of organisations have a CAIO in 2026, up sharply from just 26% in 2025.
The report, based on data collected February–April 2026 across 33 countries and 21 industries, suggests that AI is rapidly becoming a central part of the executive agenda.
IBM Vice Chairman Gary Cohn writes, “The CEO’s role has always been to lead through disruption. What AI changes is the velocity and consequences of leadership. Enterprises that succeed will operate AI-first – not as a layer of technology, but as a new operating model. Decision cycles will compress. Boundaries between functions will dissolve. Advantage will accrue to those who can learn, adapt, and execute faster than their competitors.”
Chief AI Officers on the Rise
Companies are no longer treating AI as a testing project; they are making dedicated C-suite roles to drive AI strategy. Firms with an “AI-first” leadership design have scaled about 10% more AI projects across their operations than their peers. A Chief AI Officer often oversees the enterprise-wide implementation of AI, coordinating data strategy, oversight and cross-functional AI initiatives.
Experts see parallels with past tech-led roles, such as the “chief digital officer” surge a decade ago. Some argue that without a clear mandate, new C‑suite titles can become symbolic, such as CDO.
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The report also suggests Chief AI Officers are being taken seriously: among companies with a CAIO, CEOs expect that role’s influence to grow steadily through 2030. Organizations that place AI at the heart of leadership, rather than as a side project, appear to gain ground in applying advanced analytics and automation.
Redefining Executive Roles
The survey also focuses on wider changes in the C-suite, 59% of CEOs predict the Chief Human Resources Officer (CHRO) will gain influence in the coming years. The pattern shows the growing importance of workforce strategy in an AI-driven environment. IBM’s report data show that 85% of executives believe all functional leaders must now be technology experts, signalling that accountability for AI is spreading beyond specialists and into every part of the business.
Traditional silos are blurring, for example, CEOs surveyed say HR leaders will be key to reskilling employees and aligning talent with AI objectives. Even finance and operations chiefs may find themselves working more closely with data and AI platforms. The study implies that companies re‑imagining their entire C-suite around AI tend to execute AI initiatives faster. As one IBM executive put it, leaders delivering real AI results are “redesigning their organizations to bring together the best people with the best technology.”
AI in Decision-Making
Unsurprisingly, AI is also changing how decisions are made in companies. About 64% of CEOs now say they are comfortable making major strategic decisions based on AI-generated insights. This is a significant jump from past years and indicates growing trust in AI analytics. By 2030, surveyed leaders expect that roughly 48% of operational decisions (where rules can be defined) will be executed by AI without human involvement, compared to 25% today.
“AI is changing how work gets done, bringing people and software together in new ways, and it’s changing how people come together in the workplace,” said Mohamad Ali, Senior Vice President, IBM Consulting.
According to IBM, 83% of respondents view “AI sovereignty”, having control and guardrails over AI systems, as essential to business strategy.
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Many organizations are decentralizing authority: 79% of those surveyed confirm they are distributing decision-making across the enterprise to accommodate AI tools. The upshot is a hybrid decision model where AI suggestions guide humans, but with oversight to maintain dependability and ethical use.
Workforce Adaptation
While the C-suite pivots toward AI, actual adoption among employees remains limited. IBM’s survey reveals only 25% of employees use AI applications regularly in their work, even though 86% of CEOs believe their people have the skills to work with AI. This mismatch implies a learning curve: many employees may need time or training to integrate AI into their day-to-day work.
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The report shows that, by 2028, about 29% of workers will likely need to be retrained for different roles, and another 53% will need to upskill to perform their existing jobs more effectively.
Companies that redesign core functions spanning technology, HR, finance, operations, and interdepartmental teams are much more likely to hit business goals, according to IBM. This means talent development (e.g. digital skills training) is now a strategic priority, not just an HR concern.
Consequences for Business
Companies are leveraging AI as a competitive advantage while acknowledging that leadership, organizational culture, and workforce skills must evolve concurrently.
Appointing a Chief AI Officer is only one step: AI success depends on clear mandates, integration alongside existing processes, and continual learning.
Experts observe that the introduction of new C-level titles alone does not guarantee success. For example, previous roles such as Chief Digital Officer often became obsolete when organizations did not align them with measurable outcomes.
The IBM survey presents a pragmatic perspective: while CEOs recognize the opportunities presented by AI, they also estimate that 83% of AI success depends on workforce adoption rather than technology alone.
AI is no longer a back‑office topic but a boardroom imperative. Three-quarters of surveyed executives have formal AI leadership in place, and most plan to lean even more on AI-powered analysis.
