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AI Leadership Unclear for Most C-Suite Executives

A significant leadership and accountability gap exists within corporations regarding artificial intelligence strategy, with a majority of C-suite executives uncertain about who is ultimately in charge of AI decisions. A recent Pearl Meyer survey, conducted in May and June 2026 and shared exclusively with Fortune, polled 116 board members, CEOs, C-suite executives, and senior managers below the C-level. The findings indicate that only 34% of C-suite executives consistently know which executive or team makes calls about AI. This figure represents the lowest level of clarity among all surveyed cohorts. In contrast, 53% of corporate board members reported clear leadership, while 57% of senior managers and professionals below the C-suite expressed similar clarity. This suggests that those directly involved in the day-to-day implementation and operationalization of AI are the least confident about established decision-making processes, while those further removed from the operational details perceive greater clarity.
The survey also highlighted a disparity in perceived talent availability for AI implementation. A substantial 78% of executives below the C-suite believe their companies possess the necessary senior talent to effectively implement and oversee AI initiatives company-wide. This contrasts with the C-suite's potential concerns about talent gaps, though the survey did not directly quantify C-suite perceptions on this specific point. The broader findings from Pearl Meyer's Q2 2026 Market Intelligence Survey underscore significant divergences in perception between the highest levels of corporate leadership and other executive tiers.
These insights emerge at a critical juncture for corporate AI investment. Global spending on AI, encompassing capital expenditures for AI infrastructure, is projected to reach $2.5 trillion in 2026, marking a substantial 44% increase from the previous year, according to research and advisory firm Gartner. Projections indicate a further rise to $3.3 trillion in 2027. At such high levels of financial commitment, chief executive officers face considerable pressure to maintain competitive standing and demonstrate tangible AI-driven value within their organizations. A separate survey of 900 CEOs conducted in May revealed that 80% of U.S. CEOs believe their companies are at risk of falling behind competitors if they do not effectively adopt and leverage AI technologies.
The lack of clear AI leadership at the executive level could impede strategic alignment, resource allocation, and the effective governance of AI projects. Without a designated owner or a clearly defined decision-making framework, companies risk duplicated efforts, missed opportunities, and potentially misaligned AI investments that do not support overarching business objectives. The survey's results suggest a pressing need for organizations to establish more transparent and accountable AI governance structures to ensure that substantial investments translate into strategic advantages and measurable outcomes.
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