Middle market AI adoption is high, but enterprise-scale impact remains limited.
Key findings of the RSM Middle Market AI Survey 2026
86%
of respondents said AI is integrated into operations, yet only 36% have it fully embedded across core processes.
97%
reported satisfaction with AI’s business value, but many organizations are measuring early wins instead of enterprise-wide outcomes.
34%
cited data quality as a top barrier to AI deployment, followed by security and privacy concerns (30%) and legacy systems integration (28%).
85%
said leadership is more enthusiastic than employees are about AI, highlighting the need for effective change management and workforce readiness.
AI impact in the middle market
Middle market organizations are investing in artificial intelligence and reporting strong satisfaction with the technology. However, organizations still face challenges scaling AI to achieve measurable business impact. AI isn’t failing in the middle market, but scaling it requires governance, measurement, workforce readiness, integration and change management.
The challenge is how to operationalize AI beyond isolated wins. That means prioritizing issues, figuring out how AI can solve them and then executing on those ideas.
Ana Minter, Consulting AI Go-to-Market Leader, RSM US
Download the report to understand where middle market firms stand on AI—and what leaders can do now to move from productivity enhancements to accelerate scaling and create repeatable, enterprise-wide value.
Inside the report
The RSM Middle Market AI Survey 2026: U.S. and Canada survey aggregated the responses of 827 U.S. and 203 Canadian middle market executives across a variety of industries.
Snapshots: Industry, tax and finance
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