As efforts to revive and modernize local manufacturing accelerate in regions around the world, including North America and Europe, adaptive production could help manufacturers overcome some of their biggest obstaclesโfirstly, attracting and retaining talent. Nearly 60% of manufacturers cited this as their top challenge in a 2024 US-based survey. Highly automated, technology-led adaptive production methods hold new promise for attracting talent to roles that are safer, less repetitive, and better paid. โThe ideal scenario is one where AI enhances human capabilities, leads to new task creation, and empowers the people who are most at risk from automationโs impact on certain jobs, particularly those without college degrees,โ says Simon Johnson, co-director of MITโs Shaping the Future of Work Initiative.
Secondly, the digitalization of manufacturingโembedded in the very foundation of adaptive production technologiesโallows companies to better address complex sustainability challenges through process and resource optimization and a better understanding of data. โBy integrating these advanced technologies, we gain a more comprehensive picture across the entire production process and product lifecycle,โ explains Jelena Mitic, head of technology for the Future of Automation at Siemens. โThis will provide a much faster and more efficient way to optimize operations and ensure that all the necessary safety and sustainability requirements are met during quality control.โ
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Reviewโs editorial staff.
This content was researched, designed, and written entirely by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.
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