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US workers say automation is raising safety expectations, but training lags

4 hours ago
By AI, Created 08:12 UTC, Aug 17, 2026, AGP -

A new RS study finds 50% of U.S. employees say workplace safety expectations have tightened over the past year as automation spreads, while 22% of new-technology users got no training in that time. The findings point to a widening skills and confidence gap around AI and Industry 4.0 in manufacturing.

Why it matters: - Automation is changing day-to-day manufacturing work faster than many employees can adapt. - RS found that 50% of U.S. employees say workplace safety expectations have become stricter over the past 12 months. - Training gaps are leaving workers less confident with new tools and more anxious about job security. - 77% of respondents see AI as a threat to their job. - Only 20% feel confident using AI at work to improve output.

What happened: - RS, a global product and service solutions provider for industrial customers, surveyed U.S. manufacturing employees nationwide on automation, AI and other Industry 4.0 technologies. - 86% of respondents said they are using new technologies. - 22% of employees using new technology said they had not received training in the past 12 months. - RS said the survey was designed to measure how automation, AI and related tools are affecting safety expectations, skills development and employee confidence.

The details: - Employees identified AI or machine-assisted tools knowledge as the biggest skills gap at 26%. - Soft skills such as communication and team leadership followed at 25%. - Data analytics and digital literacy came in at 24%. - Technical troubleshooting ranked at 23%. - Safety or compliance skills tied to automation ranked at 21%. - Workers said the biggest barriers to upskilling were cost of training at 17%, lack of available training at 15% and no time during work hours at 14%. - Training not available in their area or shift was a barrier for 11%. - Lack of manager support was a barrier for 10%. - Only 20% of employees said they see AI in the workplace as a good thing. - That compares with 25% in RS’s 2025 AI in the workplace study. - In the 2025 study, 72% of employees said they saw AI as a threat to their job, compared with 77% in the latest research. - Confidence has also fallen, with 23% saying they felt confident using AI at work in 2025 versus 20% now.

Between the lines: - The results suggest the problem is not just attitude toward technology. - Employees appear to face practical limits around time, cost and access to training. - The mix of technical and human-skill gaps suggests companies need broader training than software instruction alone. - The data also shows AI acceptance is improving only slowly, even as workplace use rises.

What’s next: - RS says closing the skills gap will be critical for successful technology adoption, productivity, safety and employee confidence. - Karen Gavenda, director of revenue operations at RS Americas, said businesses need practical, accessible training embedded in daily work. - Gavenda said employees should be able to work more safely and spend less time on repetitive tasks. - Gavenda also said the best AI adoption happens when organizations let people experiment responsibly, share what they learn and scale the ideas that have the greatest impact. - More information is available in the full report.

The bottom line: - Automation is raising the bar for safety and skills, but many U.S. workers are still being asked to adapt without enough training.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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