EXL’s 2026 U.S. Enterprise AI Study Finds Significant Gap Between Perceived AI Adoption Progress and Real-World Performance Improvements
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76% of companies believe they are ahead of their competitors when it comes to AI
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Only 10% meet AI leader criteria
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AI Leaders achieve 27% revenue growth, 26% cost savings, and 22% profit improvement by rethinking core workflows
NEW YORK, June 17, 2026 (Globe Newswire) — Most companies believe they have an edge over their competitors when it comes to AI. New research by EXL [NASDAQ: EXLS]a global data and AI company, has made significant strides across the company in integrating AI across core business functions, showing that only one in 10 companies realizes a significant return on investment (ROI) from their AI initiatives. This gap is not a technology issue. It’s an operating model issue.
3rd annual EXL US Enterprise AI Survey The study is based on a survey of 322 executives and other senior decision makers in the banking, finance, insurance, retail, utilities, life sciences, and health insurance industries. The results reveal a significant disconnect between how organizations measure AI progress and where they currently stand in real-world AI integration.
“Every company is leveraging some form of AI today, but leaders are starting to differentiate themselves when it comes to large-scale enterprise integration,” said Anand “Andy” Rogani, executive vice president and chief AI officer at EXL. “What separates leaders is that they stop trying to fit AI into existing ways of doing things and start asking more fundamental questions: How would this workflow, this team, this decision look different if AI was built in from the beginning? Moving from experimenting with AI to executing AI requires more than an investment in technology; it requires a transformation of the operating model.”
Below are some of the report’s key findings.
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While most companies think they are ahead of the curve when it comes to AI, the reality is more grim. 76% say they are ahead of their competitors, compared to just 10% according to our research. Qualify as an AI leader. These leaders went beyond pilots to incorporate AI into high-impact workflows and reimagine the way they work to drive greater business value.
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AI leaders generate quantifiable ROI. AI leaders generate significantly greater benefits, even though they represent only 10% of respondents. Leaders estimate that AI has reduced costs by 26%, increased revenue by 27%, and improved profits by 22% in the specific areas where it has been deployed. Laggards continue to emerge in all three areas. Leaders also report increased stability in uncertain markets, increased customer engagement, and more effective market expansion as a direct result of using AI.
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Operating model transformation is a key differentiator. Central to leaders’ approaches is a willingness to redesign enterprise-wide operating models, rather than adapting existing operating models. While many organizations have made incremental changes to accommodate AI, leaders are taking more fundamental steps to reengineer workflows, redefine roles, and reimagine decision-making processes with AI at the core. Overall, 44% of leaders have completely redesigned their company-wide operating model to accommodate the use of AI. This number drops to just 23% among laggards.
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Data preparation remains a major challenge. Data infrastructure remains the single most cited barrier to scaling AI, with 7 in 10 respondents saying data is a challenge. Data privacy and security (34%), data siled across multiple sources (31%), and limited model transparency (31%) were the three most frequently cited barriers. 83% of Laggards still struggle with data siled within their business functions, compared to 44% of Leaders who have achieved enterprise-wide data access.
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