Who Keeps Your Industrial AI Plugged In?
This article examines why production engineers often disable industrial AI systems due to accumulated minor failures and a lack of ownership during the sales process. It highlights that these engineers, responsible for equipment uptime, face challenges when AI systems disrupt their traditional deterministic workflows. The piece argues that successful integration requires involving production engineering early to align AI capabilities with real-world manufacturing constraints.
- ▪Production engineers are responsible for the full equipment lifecycle and prioritize uptime, often inheriting AI systems sold by other departments.
- ▪Industrial AI systems are frequently unplugged due to 'death by a thousand cuts,' where minor issues accumulate into significant downtime and operator distrust.
- ▪Controls and automation engineers act as a critical bridge, connecting physical hardware to software layers like PLCs, SCADA, and ERP systems.
- ▪The traditional acceptance testing process assumes equipment is deterministic, which conflicts with the variable nature of AI-driven systems.
- ▪Excluding production engineering from the initial sales and validation process leads to misaligned expectations and eventual system rejection.
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| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://deploy95.substack.com/p/uptime-follows-the-maintainer-not |
| Publication time | Thu, 01 Oct 2026 14:32:36 +0000 |
| Retrieval time | 2026-10-01T14:42:32.439Z |
| Last seen | 2026-10-01T14:42:32.439Z |
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| Cluster | XrboirrOvjtR · 1 stories |
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| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
Who Keeps Your Industrial AI Plugged In?ICP #3: the production engineers inherit what you sold, and decide if it staysTrista LiOct 01, 202633ShareThis post returns to the ICP series. Part 1 covered early adopters; Part 2 discussed quality function as a buyer; this post maps the production engineering org that keeps Industrial AI plugged in (or not).Based on a dozen interviews with manufacturing and controls engineers from American Axle & Manufacturing, Applied Intuition, Blue Origin, General Motors, Kraft Heinz, PepsiCo, Redwood Materials, Tesla, and others.SubscribeDeath by a Thousand CutsWhen production decides to unplug an industrial AI system, it’s rarely one dramatic failure. You might train someone, and then they’re gone after two years, and then nobody knows how to use it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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