Manufacturers are committed.
Their infrastructure isn’t ready.
From governance and human oversight to data readiness and post-launch operations, this report reveals what it takes to scale AI on the factory floor.
Believe AI is making them more competitive.
Cite tech or infrastructure limitations as a top barrier, nearly 20 points above the survey average.
Run AI autonomously in the background, the lowest of any industry surveyed.
How to Use the Report
Benchmark Your Program
See where your AI initiatives stand against 100 manufacturing organizations. Find out why 73% of manufacturers say data is where AI efforts most commonly stall.
Spot the Patterns
Learn where the operational gaps show up and what’s behind them. Manufacturers who bought an AI platform before defining a business problem are more than 3X as likely to stall on unclear use cases.
Apply the Findings
Get guidance for running AI as an ongoing discipline. 49% of manufacturers report more maintenance than they expected as agents scale, data changes, and use cases expand.
Resource the Work
Running AI is its own job. Data, adoption, and governance require continuous management after launch.
Manufacturing Leader, AI Operations Survey
Meet Our AI Experts
Brian Gannuscio
Chief Digital Officer
Sam Taylor
Senior Director, Innovation & Emerging Technology
Andy Moldenhauer
Industry Advisor,
Manufacturing
Dustyn Foster
MAE + RCG
Solution Engineer
AI Manufacturing Trends to Watch in 2026
Dig into how legacy data silos, governance gaps, soft ROI metrics, and stretched teams play out across 100 manufacturing organizations.