Only 5% of procurement organizations have achieved widespread deployment of GenAI, despite near-universal experimentation, according to the 2026 CPO Annual Pulse Report – State of GenAI in Procurement, published by EFESO Management Consultants.
“What we’re seeing is not a lack of interest, it’s a rise in discipline,” says Gael Sandrin, principal at EFESO France. “Procurement leaders are no longer asking whether GenAI works. They are asking where it works, at what cost, and under which conditions.”
“2026 will not be the year of GenAI everywhere,” adds Kenneth Sievers, partner and global head of procurement at EFESO. “It will be the year of strategic clarity. The competitive gap will widen between organizations that industrialize selectively, and those that remain stuck in perpetual pilots.”
Key takeaways:
· The Pulse confirms that GenAI is firmly on procurement’s agenda, but large-scale deployment is still limited. 75% of procurement organizations remain in experimentation, with 40% still in early exploration and 35% running pilots. Only 20% report partial deployment, revealing a growing gap between ambition and execution.
· 83% of respondents in large enterprises report regular use of GenAI at work, compared with just 38% in SMEs, reflecting differences in budgets, dedicated teams, and structured AI programs, while smaller organizations continue to rely on fragmented, individual-led experimentation with limited integration into core processes.
· Contract analysis and summarization lead adoption (69%), followed by sourcing and market intelligence (61%) and RFx automation (55%). These productivity-driven, source-to-contract use cases benefit from high data density and lower integration risk.
· Only 35% see value today in AI-supported negotiation, which requires deeper data integration, governance, and more advanced system design.
· Only 34% of organizations report being satisfied with GenAI value relative to initial framing and investment, while 46% report partial satisfaction and 20% express disappointment. Trust-related issues weigh heavily on scaling decisions, with data reliability (68%) and regulatory compliance and confidentiality (67%) ranking among the top concerns.
· Skills shortages (57%) and data quality limitations (55%) further constrain progress. Rather than signaling a slowdown, EFESO interprets these findings as a sign of growing maturity.
