Capgemini report shows enterprise GenAI adoption surged fivefold in two years

Enterprise adoption of Artificial Intelligence (AI) has experienced a fivefold increase in the past two years, surpassing the readiness of organizations and presenting challenges related to cost, workforce adaptation, and governance.

According to a Capgemini Research Institute report, titled 'Harnessing the value of AI: Unlocking scalable advantage,' published on November 10, 2025, nearly 60% of organizations expect AI to serve as an active team member or supervisor for other AI within the next year, up from 44% presently. Despite this anticipated growth in human-AI collaboration, two-thirds of enterprises acknowledged the need to restructure their teams to facilitate better interaction with AI technologies.

The report indicates that 30% of organizations are now fully or partially scaling Generative AI (GenAI), an increase from just 6% in 2023. A vast majority of participants (93%) are actively exploring or implementing GenAI capabilities. Notably, sectors such as telecom, consumer products, and aerospace are leading in GenAI adoption, primarily focusing on customer operations, marketing, risk management, and IT.

Franck Greverie, Chief Technology & Portfolio Officer at Capgemini, noted the rapid pace of AI adoption across various functions but cautioned that swift integration does not equate to successful, large-scale deployment with measurable return on investment. Homomorphic Encryption (HE) emphasized the importance of a robust data foundation to support a trusted and compliant environment and remarked on the necessity of a balanced human-AI operating model.

Investment in GenAI is increasing, with 79% of organizations reporting satisfaction with their outcomes. The report notes that 88% have raised their GenAI investment by an average of 9% in the last year, with 12% of IT budgets now allocated to these initiatives. This trend is expected to continue as 61% anticipate further investment increases.

However, many organizations have reported unexpected rises in cloud consumption costs, largely due to the quick scale of GenAI initiatives. Concurrently, businesses are leaning towards small language models for improved cost management.

AI agents are gaining traction, with many executives optimistic about their roles in various business processes within the next three to five years. The report also highlights a complex evolution of AI agent systems, with nearly 45% of organizations scaling or piloting multi-agent systems. Though most admit to lacking full trust in autonomous AI agents, establishing effective governance remains a primary challenge, with only 46% of enterprises having formal policies in place for their AI systems.

The survey, conducted by Capgemini Research Institute, included responses from 1,100 executives at organizations with revenue exceeding $1 billion across 11 sectors and 15 countries. This edition marks the third iteration of the survey, providing comparative data to earlier studies.