Capgemini report shows AI adoption increases across enterprises

Enterprise adoption of Artificial Intelligence (AI) has increased fivefold in the last two years, according to a new Capgemini Research Institute report. As organizations integrate AI technologies, they face challenges around cost management, workforce adaptation, and governance.

The report highlights that nearly 60% of organizations anticipate having AI as an active team member or supervisor for other AI systems within the next year, up from 44%. Despite this notable growth, many enterprises acknowledge their unpreparedness for effective human-AI collaboration. Two-thirds of organizations believe they will need to restructure teams to improve human-AI interactions.

In its third annual report, Capgemini noted that 30% of organizations are now fully or partially scaling Generative AI (GenAI) capabilities, raising from just 6% in 2023. Most organizations, at 93%, are engaging with GenAI, particularly within sectors such as telecommunications, consumer products, and aerospace. Core functions like customer operations and marketing are among the primary areas for implementation.

Franck Greverie, Chief Technology & Portfolio Officer of Capgemini, remarked on the rapid pace of AI adoption across various business functions but cautioned that quick implementation does not guarantee substantial returns on investment. Homomorphic Encryption (HE) emphasized the necessity for a robust data foundation and a secure operating environment to achieve positive outcomes.

Investment in GenAI continues to rise, with 79% of organizations reporting satisfaction with their results. In the past year, 88% of organizations increased their investment by an average of 9%. Looking forward, 61% plan further investment increases in the coming year.

Alongside investment growth, organizations are facing rising cloud consumption costs, reported by more than half of respondents as unexpected financial burdens due to expanding AI initiatives. Many enterprises are exploring small language models for better cost efficiency.

AI agents are becoming more common, with predictions that most business functions will utilize AI agents for at least one process in the near future. There is optimism among executives in product design and marketing regarding AI's role. However, trust in autonomous AI agents remains a challenge, with 71% of organizations expressing concerns about governance and control.

The findings stem from a survey of 1,100 executives from organizations with at least $1 billion in revenue across various sectors and regions. Conducted in May 2025, this report serves as a comparison with the previous two editions.