America’s reshoring movement is shifting from factory announcements to execution. The central challenge is no longer simply whether companies want to bring production back to the United States, but whether they can operate domestic factories competitively despite labor shortages, supplier gaps, power constraints, fragmented data, and higher operating costs.

This research finds that artificial intelligence is becoming a core part of the reshoring operating model. Manufacturers are increasingly relying on AI-enabled automation, planning, predictive maintenance, machine vision, digital twins, supplier-risk intelligence, and workforce augmentation to improve productivity and reduce execution risk.

The report argues that successful reshoring requires more than relocating production. Companies must integrate capital, workforce, suppliers, data, automation, infrastructure, cybersecurity, and governance into one coordinated production system. The strongest reshoring strategies will be those that use AI not as a standalone technology initiative, but as the operating layer that connects strategy to competitive domestic production.