80% of Employees Want to Use AI More Than Their Jobs Allow

Among the fastest-adopting employees, 87% say they turn to unsanctioned AI tools when approved options fall short.

Rhea-AI Summary

Cognizant (CTSH) published a workplace AI study finding that 80% of employees want to use AI more than their jobs permit. The research calls this mismatch the “Activation Gap”, separating employee willingness from workplace adoption. Across employee groups, 72% to 82% say their AI tools do not meet their needs; even the most satisfied group reported only 28% satisfaction.

The study found that disposition—how people relate to technology, risk and work—is roughly six times more predictive of AI behavior than organizational rank. Two groups account for 72% of workers: willing users facing organizational barriers and workers seeking a clear business case for adoption. Cognizant researchers estimate that a uniform 5% increase in global labor productivity could add roughly $6 trillion to world GDP, with context-specific tools and tailored training offering a potential path toward some of that value.

Key Figures

Employees seeking more AI use: 4 out of 5 employees Labor productivity scenario: 5% Potential GDP gain: $6 trillion +4 more

Employees seeking more AI use

4 out of 5 employees

Want to use AI more than their current jobs permit

Labor productivity scenario

5%

Uniform global labor productivity increase linked to potential GDP gains

Potential GDP gain

$6 trillion

Potential world GDP gain in the 5% productivity scenario

Workers in two archetypes

72%

Workers classified as Navigators or Stalwarts

AI tools not meeting needs

Up to 82%

Employees say their current AI tools do not fit their needs

Tool satisfaction

28%

Reported by Precisionists, the study's most satisfied group

Use of unsanctioned tools

87%

Architects turn to unsanctioned tools when approved options fall short

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The "Activation Gap" could be leaving trillions in potential global economic gains unrealized, according to new research from Cognizant

TEANECK, N.J., Oct. 9, 2026 /PRNewswire/ -- A new Cognizant workplace study has identified what researchers are calling the "Activation Gap": a wide and largely invisible divide between how much employees believe AI can enable them in their work and how much their jobs allow them to use it. In "New Frontiers, New Frictions: Mapping the DNA of AI Adoption," the findings suggest that the biggest barrier to AI's economic promise is translating employee willingness into effective adoption. Customization, integration and context engineering can help to close that gap.

The stakes are significant. Cognizant researchers estimate that a uniform 5% increase in global labor productivity could add roughly $6 trillion to world GDP, nearly the equivalent of adding an economy the size of Japan's. Closing the Activation Gap is a potential path towards capturing some of that value and supporting the corresponding wage growth that frequently accompanies GDP increases. Moreover, workers' understanding of and belief in the improved productivity that AI can deliver is an early indicator of the potential for success.

"Our research finds that people are ahead of their employers," said Ravi Kumar S, Chief Executive Officer of Cognizant. "Willingness is the hardest part of any technology shift, and it's already in hand. What's ahead is the work of context: shaping tools to the rules, the workflows and the execution patterns of how a particular team gets things done. Context-specific tools perform where generic ones stall. That's the work we do with clients every day, and it's the opportunity in front of every company right now."

• Eager adopters: Four out of five employees say they want to use AI more than their current job permits.
• The human factor: Disposition— meaning how a person relates to technology, risk and work itself—is roughly six times more predictive of AI behavior than where they sit in the organizational hierarchy.
• Navigators and Stalwarts: 72% of workers fall into two archetypes, meaning they represent the highest-leverage opportunity: a targeted intervention aimed at these two groups alone could move the needle for the majority of a company's workforce. Navigators are willing AI users held back by organizational barriers, while Stalwarts are looking for a clear reason and business case to adopt AI.
• Poor tool fit: Up to 82% say their current AI tools don't fit their needs. 33% of Accelerators, power users who log the heaviest AI use, and Architects, the fastest-adopting employees, point to missing context and lack of customization as the top factor limiting their AI use.

Across every employee archetype, between 72% and 82% say their current AI tools don't meet their needs. Even Precisionists, highly active AI users and the most satisfied group in the study, reported only 28% satisfaction with their tools. In other words, the group that likes its AI tools the most still has roughly three unhappy employees for every satisfied employee.

Cognizant President – Americas, Surya Gummadi, said, "dissatisfaction with workplace AI tools isn't confined to skeptics or newcomers. It's a near-universal experience, cutting across employees who are highly engaged with AI and those who are not. We partner with our clients to identify and implement the AI solutions best designed to drive their business results. And our experience across thousands of activations, combined with this new research, aims to help us deliver at scale for even the largest organizations."

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. Among Holdouts, the group least inclined to use AI, those numbers drop to 56% effectiveness and 53% completion.

The training gap doesn't fully explain the satisfaction gap. 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.

Taken together, Cognizant's findings point to a workforce that is more willing, and more ready, to work with AI than most organizations currently assume. 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.

"For the technology to unlock the roughly $6 trillion in potential GDP growth that AI could provide, 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," added Kumar S.

About Cognizant
Cognizant is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.ai or @cognizant.

For more information, contact:

Jeff DeMarrais
SVP, Global Marketing & Chief Communications Officer
Jeff.DeMarrais@cognizant.com

Alex Dudley
Alex.Dudley@cognizant.com

Katrina Cheung
Katrina.Cheung@cognizant.com

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SOURCE Cognizant Technology Solutions Corporation

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is the Activation Gap in Cognizant's workplace AI study?

The Activation Gap is the divide between how much employees believe AI can help their work and how much their jobs allow them to use it. The study found that 80% of employees want to use AI more than their current jobs permit.

How much potential GDP growth does Cognizant's AI research estimate?

Cognizant researchers estimate that a uniform 5% increase in global labor productivity could add roughly $6 trillion to world GDP. Closing the Activation Gap is presented as a potential path toward capturing some of that value, not as an achieved economic gain.

What did Cognizant's workplace AI study find about employee training?

Training effectiveness and completion differed between the fastest-adopting employees, called Architects, and the least-inclined users, called Holdouts. Among Architects, 81% rate training as effective and 83% complete it; among Holdouts, those figures are 56% and 53%, respectively. Despite their training results, 87% of Architects say they turn to unsanctioned tools when approved options fall short.