Five ways to modernize manufacturing with AI

**Don’t call it a robot takeover—call it a retrofit.** The factory floor is no sandbox for AI theater. The real test is surviving the grit of legacy PLCs, compliance mandates, and the occasional dropped packet. Cohere’s field guide on modernizing manufacturing gets that, offering five pragmatic lanes rather than a moonshot sermon. This matters because it signals a shift from "disrupt everything" to "brownfield AI." Compliance isn’t a bureaucracy to dodge; it’s a design constraint that sharpens the model. Legacy systems aren’t a liability—they’re dormant data veins waiting for an intelligent pickaxe. That’s the real frontier: wiring inference into the *existing* nervous system of industry. The compute angle is just as critical. Factory-floor AI means edge inference, real-time anomaly detection, and latent security gaps—every sensor becomes an endpoint. Cyber isn’t adjacent to this work; it’s load-bearing. AI isn’t coming to replace manufacturing. It’s coming to harden it. The future belongs to plants that can think—but only when they can first trust their own sensors. ```json {"key_insight":"Manufacturing AI wins on integration, not disruption—compliance and legacy are the true design constraints.","confidence":0} ```