
The GenAI Adoption Gap in Procurement: Weekly Use vs. Scaled Deployment
The headline numbers paint a picture of near-universal engagement. According to the Wharton AI study cited in the State of AI in Procurement in 2026, 94% of procurement executives now use generative AI at least weekly. That figure represents a 44 percentage point jump from 2023 to 2024 alone — a rate of adoption that few enterprise technologies have matched in the past decade.
But weekly use is not the same as production deployment. The Hackett Group's 2025 data, also captured in the Art of Procurement roundup, reveals a stark disconnect: 49% of procurement teams are piloting generative AI, yet only 4% have achieved large-scale deployment. EY's broader survey puts the share of organizations with meaningful implementations at 36% — better than 4%, but still a minority.
For a CPO building a business case, the implication is clear: the technology is already embedded in daily workflows, but the organizational infrastructure — data readiness, governance, change management — has not kept pace. The next 12 to 18 months will separate teams that treat GenAI as an experiment from those that treat it as a capability to be engineered into the source-to-pay process.
Top 3 GenAI Use Cases CPOs Are Prioritizing Right Now
The Deloitte 2025 Global CPO Survey provides the most concrete picture available of where procurement leaders are actually deploying generative AI. When asked which use cases they are prioritizing, CPOs ranked three applications well ahead of the rest.
| Rank | Use Case | Share of CPOs Prioritizing |
|---|---|---|
| 1 | Spend analytics and dashboarding | 53.44% |
| 2 | RFP / RFQ generation | 42.33% |
| 3 | Contract summarization | 41.27% |

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