80% of Employees Want to Use AI More Than Allowed by Jobs

TEANECK, N.J., Oct. 9, 2026 /CourierPR/ -- Cognizant, a technology services provider, has released findings from a new workplace study that reveals a significant gap between employees' desire to use artificial intelligence (AI) and the current limitations of their jobs.

The study identifies a divide known as the "Activation Gap," which measures the difference between employees' belief in AI's potential and the actual use of AI in their work. This gap could be costing the global economy trillions of dollars in unrealized productivity gains. Cognizant estimates that a 5% increase in global labor productivity could add approximately $6 trillion to the world's GDP, nearly the size of Japan's economy.

The study categorizes employees into four archetypes: Navigators, Stalwarts, Accelerators, and Holdouts. Navigators and Stalwarts represent the highest leverage opportunity, as they are willing AI users held back by organizational barriers and those looking for a clear reason and business case to adopt AI. Accelerators are power users who log the heaviest AI use, while Holdouts are the least inclined to use AI.

Cognizant's research reveals that up to 82% of employees say their current AI tools do not fit their needs. Among Accelerators and Architects, the fastest-adopting employees, 33% point to missing context and lack of customization as the top factor limiting their AI use. Even Precisionists, highly active AI users and the most satisfied group in the study, reported only 28% satisfaction with their tools. This indicates that even the group that likes its AI tools the most still has roughly three unhappy employees for every satisfied employee.

The study also found a gap in how AI training is delivered and received. Among Architects, 81% rate their training as effective, and 83% complete it. In contrast, among Holdouts, the group least inclined to use AI, those numbers drop to 56% effectiveness and 53% completion. Architects receive the most effective, most completed training and 87% say they turn to unsanctioned tools when their approved options fall short. These are two separate problems: training isn't reaching everyone equally, and even where it lands well, the underlying tools still aren't meeting people's needs.

Cognizant's findings suggest that giving employees access to context-specific tools and training to match is the clearest path to closing the Activation Gap and delivering increased real-world business results using AI. The company's research indicates that companies must simultaneously provide context-specific tools to a receptive employee base while also improving their training programs to customize them for different personas and increase their effectiveness at producing real results.