A imaginative and prescient for the way forward for automation

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A imaginative and prescient for the way forward for automation


Yet, broad adoption of this superior automation has lagged. “That’s not necessarily or just a technology gap,” says John Hart, professor of mechanical engineering and director of the Center for Advanced Production Technologies at MIT. “It relates to workforce capabilities and financial commitments and risk required.” For small and medium enterprises, and people with brownfield websites—older services with legacy methods— the obstacles to implementation are important.

In latest years, governments have stepped in to speed up industrial progress. Through a revival of commercial insurance policies, governments are incentivizing high-tech manufacturing, re-localizing important manufacturing processes, and decreasing reliance on fragile international provide chains.

All these developments converge in a key second for manufacturing. The exterior pressures on the business—met with technological progress and these new political incentives—could lastly allow the shift towards superior automation.

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This content material was produced by Insights, the customized content material arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial employees.

This content material was researched, designed, and written solely by human writers, editors, analysts, and illustrators. This contains the writing of surveys and assortment of knowledge for surveys. AI instruments that will have been used have been restricted to secondary manufacturing processes that handed thorough human assessment.

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