New research funded by the National Safety Council shows how artificial intelligence and augmented reality can reduce ergonomic risks.

• By Jesse Jacobs
• Jun 29, 2026

High-tech tools ranging from artificial intelligence to augmented reality could drastically reduce the risk of on-the-job injuries, according to new research released by the National Safety Council.

The findings stem from the latest cycle of the organization's Research to Solutions and MSD Solutions Pilot Grant programs. Managed by the council’s MSD Solutions Lab, these initiatives fund academic and industry partnerships to combat musculoskeletal disorders, which remain the most prevalent type of workplace injury. To date, the council has backed 35 separate projects, investing more than $1 million into scalable safety practices.

Several university studies yielded significant technological breakthroughs during the recent research cycle. North Carolina State University created an augmented reality program allowing workers to view ergonomic reach limits in real time, while Oregon State University successfully utilized smartphone video and machine learning to calculate lower-back injury risks.

Additionally, Virginia Tech designed an artificial intelligence model to improve the fairness and accuracy of physical exposure assessments, and Wichita State University tracked the effectiveness of arm-support exoskeletons on construction sites.

Parallel pilot programs allowed employers to test these emerging commercial technologies directly in active work environments. Companies implemented computer vision systems, wearable vibration monitors and sensor-based ergonomic tools. The field tests resulted in better visibility into daily physical risks, higher engagement from frontline staff and more precise safety interventions.

Data collected across both grant tracks highlighted a critical factor for success. Council representatives noted that combining advanced digital innovation with direct feedback from frontline workers is essential for developing effective, scalable safety measures.

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