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ARTICLE · 22 SEPTEMBER 2026

AI In Manufacturing: Driving Operational Excellence While Managing Workforce Risk

Jackson Lewis P.C.
Jackson Lewis P.C.
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Jackson Lewis P.C.

Jackson Lewis P.C.

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Maintaining meaningful human oversight, understanding how systems reach recommendations and reviewing consequential employment decisions are critical steps for manufacturers relying on AI as a decision-support tool.

United StatesEmployment and HR
Jackson Lewis P.C.
Jackson Lewis P.C.

Takeaways

  • The full value of AI as an essential technology for manufacturing operations and workforce management depends on balancing innovation with legal, privacy and employment risk.
  • Maintaining meaningful human oversight, understanding how systems reach recommendations and reviewing consequential employment decisions are critical steps for manufacturers relying on AI as a decision-support tool.
  • To build a coordinated governance program, inventory your organization’s AI use, evaluate vendors and data practices, monitor evolving state and local requirements, and equip leaders and employees to use the technology responsibly.

Article

Artificial intelligence (AI) is rapidly transforming the manufacturing industry. AI influences nearly every aspect of the modern manufacturing enterprise. From predictive maintenance and quality assurance to supply chain optimization, inventory forecasting, measuring and improving productivity, and workforce planning and safety, AI helps

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