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Mid-market

Research that covers mid-sized companies, which most big-firm surveys leave out.

Data quality is the most-cited inhibitor to AI deploymentPercent of middle market respondents citing each inhibitor (up to three responses; top 4 shown), 2026

Data quality, availability or lineage issues

34%

Security or privacy concerns

30%

Integration with legacy systems

28%

Talent or skills gaps

28%

Source: RSM, RSM Middle Market AI Survey 2026: U.S. and Canada, 2026, p. 2.

Reports on mid-market

CBIZ · Aug 2026Mid-Market Pulse No. 3, 2026: AI Adoption Surges as Healthcare Costs Rise

63% of organizations are actively exploring, piloting or implementing AI.Executive survey

NCMM · Jul 2026Mid-Year 2026 Middle Market Indicator

Year-over-year revenue growth held at 11% while employment growth slowed to 7.2%, its lowest post-pandemic level.Executive survey

RSM · Jul 2026RSM Middle Market AI Survey 2026: U.S. and Canada

86% have partially or fully integrated AI into operations, and 97% say they are satisfied with the business value AI delivers.Executive survey

Census Bureau · May 2026Large Firms With at Least 20 Employees Biggest AI Users (America Counts story, Business Trends and Outlook Survey)

37% of firms with 250+ employees and 32% of firms with 100–249 employees reported using AI.Government statistics

Grant Thornton · Apr 20262026 AI Impact Survey Report: The AI Proof Gap

Organizations with fully integrated AI report revenue growth far more often than those still piloting: 58% vs 15%.Executive survey

PwC · Jan 202629th Annual Global CEO Survey: Leading through uncertainty in the age of AI

Only 12% of CEOs report AI delivered both revenue gains and cost reductions.Executive survey

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7 reportsMid-market AI: what the data saysThe few surveys that include companies with $10M–$1B in revenue.11 reportsWhy the adoption numbers disagreeAI adoption is 18% or 90% depending on who you ask. Read these in order to see why.

Mid-market

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