According to a recent article in Forbes by John Werner, robotics — especially AI‑enabled robots — could offer a path to revive American manufacturing, reversing decades of decline and reshoring lost capacity. The author notes that while many fear robots will simply displace workers, smarter deployment might yield the opposite: humans coordinating and optimizing automated lines rather than manually doing every task, allowing factories to become competitive again in a high‑wage economy.
One key point: the decline of U.S. manufacturing between 2000 and 2010 wasn’t just about jobs lost — it also erased much of the design-to-manufacture feedback loop. Engineers designing parts often lacked practical manufacturing insight, causing costly rework and inefficiencies. Werner argues that pairing every human engineer with an AI‑driven manufacturing assistant could restore this loop by giving instant feedback on manufacturability during design — potentially saving hundreds of billions annually in lost productivity.
If done right, this approach could lead to a new paradigm: not a return to 1960s‑style mass production — but a modern, flexible, automated manufacturing ecosystem where humans oversee, tweak, and improve automated lines. Small to mid‑size firms, once unable to compete globally because of labor costs, might find new viability with robotics: robots reduce reliance on large low‑cost labor pools while preserving the advantages of U.S.-based manufacturing.
Yet, Werner stresses that this transformation is not automatic or guaranteed. It requires careful integration of AI, design, robotics, and human oversight. Automation alone won’t suffice — success depends on rethinking workflows, incentivizing on‑shoring, and rebuilding manufacturing knowledge that was lost. In short: robots can help rebuild U.S. manufacturing — but only if companies adopt them thoughtfully, not simply as a replacement for labor.