On July 8, 2026, Exlservice Holdings Inc (NASDAQ: EXLS) released its third annual UK Enterprise AI Study, revealing a significant gap between perceived and actual progress in AI integration among UK businesses. The study, which surveyed 212 senior decision-makers from various sectors, including banking, insurance, retail, and utilities, highlights that while many firms believe they are advancing in AI, the reality tells a different story.

2. Key Findings

Overestimation of AI Progress

Despite 75% of UK business leaders claiming they are ahead of their competitors in AI integration, the study found that only 12% are genuinely recognized as AI Leaders. These leaders have moved beyond pilot programs to fully embed AI into high-impact workflows, redefining operations to create substantial business value.

Data Challenges in AI Implementation

A striking 77% of respondents identified data as the primary obstacle in effectively leveraging AI. Although improving data quality and accessibility is acknowledged as crucial for scaling AI initiatives, organizations successfully integrating AI are reportedly five times more likely to have advanced data management programs compared to those lagging behind.

Utility Sector Leads in AI Returns

The study reveals that utility companies are reaping the most significant financial benefits from AI investments, showing an average improvement of 27% in cost reduction and 28% in revenue growth due to agentic AI. In contrast, the insurance sector reported the smallest gains, with average returns of only 18% and 17% in these areas. Notably, 61% of utility organizations prioritize scaling AI, compared to just 33% of insurers.

Reshaping Operating Models

AI Leaders understand that AI cannot merely be an add-on to traditional operating models. The previous year's study indicated that 52% of AI Leaders had redesigned their operating models to integrate AI effectively. This year, that figure has decreased to 35%, while the percentage of AI Laggards who have made similar changes has increased from 3% to 38%. This shift indicates a growing recognition among lagging firms of the need to adapt their operations to leverage AI effectively.

3. Expert Insights

Bhupender Singh, President and Head of International Growth Markets at EXL, commented on the findings: “As the pressure mounts for companies in the UK to deliver measurable results from AI, leaders in this space are distinguishing themselves by reimagining their business from the ground up. In order to catch up to these leaders, companies that are lagging behind need more than just technology; they need to redesign their operating models, from workflows to talent management and underlying data infrastructure.”

4. Conclusion

The 2026 EXL UK Enterprise AI Study highlights a critical moment for UK businesses as they navigate the complexities of AI integration. While a majority of firms believe they are making strides in AI, the reality points to a need for significant improvements in data management and operational restructuring. As sectors like utilities demonstrate the benefits of embracing AI comprehensively, other industries must take heed and adapt to remain competitive in a rapidly evolving landscape.

To explore more about the findings, companies and stakeholders are encouraged to download the full 2026 EXL UK Enterprise AI Study and discover how EXL can assist in unlocking the value of AI initiatives.

Original press release