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Boards and C-suites are telling each other very different stories about who owns AI, and a new Pearl Meyer survey of 108 executives and directors makes the gap quantifiable. Ninety percent of board members say the C-suite owns AI strategy. Inside that same C-suite, accountability splinters four ways, with 32% pointing to the group collectively, 27% to individual business leaders, 22% to the level below, and 17% to functional heads. Meanwhile 100% of directors believe their leadership team is cohesive. Only 66% of the executives on that team agree.
What this means for your business
The ownership gap isn’t an AI problem. It’s a pre-existing C-suite coordination failure that AI has now made undeniable. Companies where the senior team has always operated as a loose coalition of functional fiefdoms, rather than a single accountable unit, could run pilots indefinitely without those cracks showing. Enterprise AI deployment requires cross-functional decisions at speed, so the coalition model breaks in public. If your company is among the 71% whose executives say success depends on fixing internal processes and coordination, the AI investment is already queued behind an organizational prerequisite nobody budgeted for.
The board-to-floor communication finding is the sharpest warning in the data. Even among C-suite executives who believe strategy is clear at their own level, only 54% are confident it has traveled accurately two levels down, to the directors and senior managers who actually configure systems, select vendors, and train teams. That’s the layer where an AI rollout either holds together or produces the public gaffe Pearl Meyer’s Brad Jayne is warning about. Boards, meanwhile, are hearing the top-line story and not pressing on operating reality beneath it, a dynamic that Pearl Meyer, whose advisory model depends on executive leadership engagements, has obvious incentive to name loudly, but the data backs the concern regardless of who benefits from raising it.
The divergence on what AI readiness even requires is its own problem. Boards rank clear executive ownership as the top preparedness factor at 45%. C-suite executives rank data quality, infrastructure, and security first at 49%. Both are right, which means neither side is hearing the other’s concern. The practical read is this: if your board is satisfied with the ownership narrative and your CIO or CTO is losing sleep over data architecture, no one is forcing that conversation to happen in the same room. A board that never asks about data quality and a C-suite that never flags the ownership vacuum are flying in formation toward the same wall.
Seventy-one percent of surveyed executives say the next 18 months hinge on process and coordination fixes, not on the AI itself. That framing should reweight how you think about AI budget defenses at your next board review. The line item that decides whether the deployment works is probably not the model license or the compute contract. It’s whether you have an accountable owner, a communication chain that reaches the people doing the work, and a board that knows enough about data infrastructure to ask the right questions. I’d revise this view if companies with distributed AI ownership consistently outperform those with a designated lead, but the Pearl Meyer data points entirely the other direction.
Based on reporting from Boards say the C-suite owns AI strategy. The C-suite doesn’t agree, originally published 2026-04-22 03:00:00.
