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Retention and recruitment in the frontline workforce is a challenge for US manufacturers, both large and small. Some firms are turning to automation to solve these problems, but initial research shows that deploying automation without also making job quality improvements may do more harm than good.
For manufacturers that are considering integrating automation, be it artificial intelligence (AI) or otherwise, into their operations, the recommendations presented here provide guidance. They are based on interviews with experts, research, and best practices from leading firms in the field on how to deploy automation in a way that raises job quality, improves retention and recruitment, and protects their bottom line.
The Challenges
Reduced human oversight in AI software and data-driven automation brings a new set of risks.
New and changing technologies require new skillsets, but manufacturers are struggling to source suitable talent.
Automation deployment in manufacturing can lead to deskilling and higher churn, intensifying retention challenges for the industry and contributing to institutional brain drain.
