BCG Surveyed 2,360 Executives Across 16 Markets. 72% of CEOs Call Themselves Their Company's Top AI Decision-Maker. Only 30% of the Rest of the C-Suite Feel Ready to Lead the Change.

November 6, 2026 · Josh Agusti, Founder, Aiven Consulting Group

For the first few years of enterprise AI adoption, strategy ran mostly through the CIO or chief data officer, while the CEO set broad direction and signed off on budget. BCG's AI Radar 2026 survey, which polled 2,360 executives across 16 markets, found that arrangement has flipped.

Seventy-two percent of CEOs now say they are the primary decision-maker for AI in their organization, a shift away from the IT-led governance model that defined the first wave of enterprise AI.

The Confidence Gap

The same survey asked executives something more specific: how ready do you feel to actually lead an AI transformation. Sixty percent of CEOs said yes. Among CIOs and CTOs, that number dropped to 38%. Among the rest of the C-suite, it fell further, to 30%. The people now making the calls on AI are the most confident people in the building. The people who have to carry those calls out day to day are not.

That gap rarely closes on its own. It tends to widen quietly until a rollout stalls, a budget gets clawed back, or a board starts asking why the AI roadmap keeps slipping. Closing it starts with an honest AI readiness assessment that measures organizational capacity against the CEO's conviction, rather than assuming the two already match.

Why CEOs Feel More Confident Than Everyone Else

Part of the gap is structural. CEOs tend to experience AI through outcomes: a board presentation, a competitor's earnings call, a vendor demo built to impress. CIOs and CFOs experience it through the mechanics: data that doesn't connect across systems, integration costs that weren't in the original pitch, and talent gaps that only show up once a pilot moves toward production. Confidence is easier to hold when you're looking at the destination instead of the road.

What Closes the Gap

The companies that narrow the gap tend to do the same few things. They put the executives who own execution in the room when AI decisions get made, not just the ones who sign the check. They tie AI investment to a small number of shared metrics everyone is accountable for, instead of letting the CEO's enthusiasm and the CFO's skepticism run on separate tracks. And they treat the operating model itself, not just the technology, as the thing that needs to change, which is usually the actual work behind an AI strategy engagement rather than the headline.

This pattern lines up with a related finding published here earlier this month, a related Insight on the broader C-suite confidence gap. Wakefield Research and KUNGFU.AI found that most C-suite executives privately admit they've faked confidence in their own AI strategy at some point. Read together, the two surveys describe the same problem from opposite ends: conviction at the top is outrunning readiness underneath it, and most of the people living in that gap already know it, even when the org chart doesn't show it yet.

Key Takeaways

BCG's AI Radar 2026 survey of 2,360 executives across 16 markets found that 72% of CEOs now consider themselves their company's primary AI decision-maker, a shift away from the IT-led governance model that defined early enterprise AI adoption.
Despite that shift, confidence is not shared evenly: 60% of CEOs say they feel ready to lead an AI transformation, compared to 38% of CIOs and CTOs and just 30% of the rest of the C-suite.
The gap between who is deciding and who is executing tends to surface later as stalled rollouts and missed budgets, which means closing it requires redesigning decision rights and shared metrics, not just building more confidence at the top.