AI in US Manufacturing: Ambition vs. Reality
Across the US, manufacturers are investing heavily in AI to improve efficiency, quality, and profitability. But while the ambition is strong, the reality often lags behind. Many firms test AI but can’t scale it. Others face poor data foundations, legacy systems that don’t integrate well, or lack the skilled talent to manage and adopt AI effectively. The result? Missed ROI, stalled initiatives, and rising costs without clear benefits.
This infographic highlights the current state of AI adoption in US manufacturing, the top reasons why projects fail, and the core capabilities manufacturers need to succeed. It also shows how Turinton’s Insights AI addresses these challenges head-on—by unifying data across systems, simplifying adoption with no-code tools, ensuring compliance, and enabling controlled, scalable growth. For leaders aiming to turn AI into measurable outcomes, this is a roadmap for cutting through the hype and building real business value.
Download the infographic to see the full breakdown and discover how you can transform AI ambition into lasting impact on your factory floors and enterprise operations.
