CapTech study finds AI scale is stalling on decision-making, not technology

CapTech’s 2026 Executive AI Research says 86% of technology leaders believe their organizations can implement AI quickly, but internal decision-making is slowing progress. The survey points to governance, stakeholder alignment and unclear tradeoffs as the biggest obstacles to moving AI from pilot to enterprise scale.

Why it matters: - AI has moved from experimentation to an enterprise priority, but many organizations are struggling to turn investment into scaled results. - The study suggests the main bottleneck is now organizational: governance, alignment and decision discipline. - That shift matters because companies are under pressure to show measurable AI returns while avoiding wasted spend and stalled projects.

What happened: - CapTech released its 2026 Executive AI Research with The Harris Poll. - The survey included 302 director-level-and-above IT decision-makers at U.S. organizations with at least 250 employees. - All respondents worked in technology functions and were already using AI beyond the pilot phase. - The research was conducted May 8-22, 2026. - The findings show 86% of respondents believe their organizations can rapidly implement AI solutions, but internal decision-making slows progress.

The details: - 60% of respondents ranked either scaling AI use or building AI infrastructure among their top technology priorities. - 41% chose scaling AI use as a top priority, and 31% chose building AI infrastructure. - 93% said successful AI implementation will save their organization money. - 62% said AI will reduce waste and rework. - 78% reported high or extreme pressure to implement AI-based solutions. - 61% said they are more worried about failing to modernize quickly enough than being locked into a vendor or platform. - Only 28% said they are completely confident they will achieve their technology priorities over the next 18 to 24 months. - Among leaders under extreme AI pressure, 69% expect AI initiatives to lift revenue by at least 20%, and 70% expect savings of at least 20%.

Between the lines: - The research shows a gap between what organizations say matters and what slows them down. - Only 25% ranked stakeholder alignment among their top modernization priorities, yet 56% said stakeholder misalignment and decision-making hinder modernization more than technical barriers. - Governance approval was the most common point where initiatives stalled or reversed course, even though only 27% identified governance as a leading AI transformation priority. - Unaligned stakeholders were named the top risk to moving initiatives from pilot to scaled business programs. - 90% said modernization decisions would improve if stakeholders shared a common understanding of tradeoffs. - Brian Bischoff, CapTech’s chief technology officer, said organizations often have the tools, infrastructure and talent they need, but decisions become the bottleneck. - 88% agreed objective third-party advisors would improve modernization decision-making.

What's next: - Leaders said they need help with infrastructure readiness, moving from experimentation to implementation, prioritizing initiatives and demonstrating ROI. - The research points to a next phase of AI adoption that depends less on access to technology and more on governance and operating discipline. - CapTech argues that clear ownership, early governance and success metrics will be critical for turning AI projects into business outcomes. - More information is available in the full research.

The bottom line: - Enterprise AI is not being held back mainly by technical capability. - The bigger problem, CapTech says, is whether organizations can make fast, aligned decisions well enough to scale what they have already started.