Enterprise Gen AI adoption has grown fivefold within the final two years, outpacing enterprise readiness and intensifying challenges round price, workforce adaptation, and governance
The most recent Capgemini Analysis Institute report printed, ‘Harnessing the worth of AI: Unlocking scalable benefit,’ means that generative AI (Gen AI) is quickly shifting into the mainstream, with enterprise adoption and funding accelerating at tempo. In keeping with the report, practically 6 in 10 organizations are anticipated to have AI as an lively crew member or a supervisor for different AI throughout the subsequent 12 months – up from 44% at present. Regardless of this, organizations admit they don’t seem to be ready for dynamic human-AI collaboration. Two-thirds of enterprises agree that they might want to restructure their groups to reinforce human-AI collaboration, with most anticipating their organizational construction to evolve.
The annual report, now in its third version, finds that 30% of organizations at the moment are totally or partially scaling Gen AI, up from 6% in 2023 – a fivefold improve within the final two years. A overwhelming majority of organizations (93%) are exploring, piloting, or partially or totally enabling Gen AI capabilities in 2025. Sectors like telecom, client merchandise, and aerospace and protection organizations are main the cost in Gen AI adoption, with core enterprise features corresponding to buyer operations, advertising and marketing, danger administration, and IT remaining high areas of implementation.
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“Enterprise adoption of AI is scaling quicker than virtually any expertise we’ve seen earlier than, with corporations experimenting with AI throughout all features. However speedy adoption doesn’t essentially translate into giant scale deployment with tangible ROI,” stated Franck Greverie, Chief Expertise & Portfolio Officer, Head of the World Enterprise strains and Group Govt Board Member at Capgemini. “To succeed, enterprises should arrange a stable information basis, in a trusted surroundings that’s compliant, safe and ensures essential privateness. This, together with a brand new working mannequin with a balanced human-AI chemistry, can guarantee profitable enterprise outcomes.”
Gen AI investments proceed to speed up
As organizations search to appreciate the advantages of Gen AI, funding is accelerating and eight in ten (79%) organizations say they’re pleased with the outcomes thus far. The report highlights that, prior to now 12 months, 9 in ten (88%) organizations have elevated funding in Gen AI by a median of 9%, with 12% of the IT price range now devoted to Gen AI. This development is predicted to proceed, with 61% of organizations anticipating an additional improve in Gen AI investments within the subsequent yr.
Nonetheless, organizations report an surprising surge in cloud consumption prices, with over half experiencing “invoice shocks” triggered by the speedy growth of Gen AI initiatives, as scaling efforts outpace preliminary projections. Enterprises are additionally more and more turning to small language fashions (SLMs) for price effectiveness.
AI brokers and multi-agent techniques acquire momentum
The final yr has additionally seen a gradual rise in AI brokers. That is set to extend, with most enterprise features more likely to have AI brokers dealing with not less than one enterprise course of. 9 in ten executives from product design/R&D, advertising and marketing, and gross sales are optimistic about AI brokers dealing with a number of enterprise processes of their operate within the subsequent 3-5 years.
AI agent techniques have gotten more and more complicated and interconnected, with multi-agent techniques more likely to be the following main improvement in AI. Of these organizations scaling AI brokers, practically 45% are additionally piloting or scaling multi-agent techniques. Practically 4 in ten (38%) imagine AI brokers will evolve into self-learning brokers with minimal human supervision within the subsequent 3-5 years.
Regardless of speedy adoption, the report finds {that a} majority (71%) of organizations stated they can’t totally belief autonomous AI brokers for enterprise use, highlighting that companies should additionally overcome governance gaps to construct belief in AI. Nonetheless, most enterprises nonetheless battle with establishing guardrails and governance for AI. Solely 46% have established governance insurance policies for his or her AI techniques, but most seldom comply with them.
Report methodology
The Capgemini Analysis Institute performed a survey of 1,100 executives from world organizations with annual income of not less than $1 billion in 11 sectors and 15 nations throughout North America, Europe, and Asia-Pacific. The Capgemini Analysis Institute performed the worldwide survey in Might 2025. Executives surveyed had been at director stage and above and represented numerous features. That is the threerd version of the survey and the statistics are as in comparison with the earlier two years’ research.
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