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The hidden bottleneck holding back American manufacturing isn’t machines — it’s knowledge
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The hidden bottleneck holding back American manufacturing isn’t machines — it’s knowledge

Fortune · May 6, 2026, 7:00 AM

The defining story in technology this century is how software has transformed the way we work. We now communicate, share information, and manage companies completely differently from our predecessors in 2000. But one of the world’s biggest industries has largely bypassed the software revolution, and still runs, to a remarkable extent, on human know-how. In manufacturing, the real bottleneck is usually not the machine on the shop floor: it is the person running it, carrying years of hard-won knowledge in their head, earned one job at a time… and whose expertise is near-impossible to scale. In the current US context, where tariffs are back at the center of industrial policy, this matters — significantly. In Washington, everyone suddenly wants more American industrial capacity. But while policy can change incentives, it cannot by itself create capability. This is what too many discussions about reshoring still miss: a factory’s limits are not just physical. They are cognitive. As well as buildings, machines, and customers, you need experts who know how to actually run things: to quote for new work, program the job, avoid scrap, and work around the particular foibles of the machines in the shop (and those operating them). Too much of that workflow still has to fit inside somebody’s head. This is where manufacturing has always gone wrong. Those running factories almost always prefer to buy machines over software. But this is backwards. The machine is the overhead; the software that captures knowledge and joins everyone up is what determines how well the business runs. I once saw the CTO of Ocado (the UK online grocery and technology company) walk up to a terminal in a warehouse that told him exactly what to do. He could work effectively almost immediately, even though he had never been in that part of the building before. The intelligence of the operation had been captured by the system. Today, that’s absolutely not what happens in manufacturing,

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