Why would a veteran factory operator help you build the AI that might replace them?

March 30, 2026
Why would a veteran factory operator help you build the AI that might replace them?

Here's something that might surprise you — veteran factory operators possess tacit knowledge that no sensor can capture. They can hear a machine failing before any warning light goes off, and that kind of intuition is gold. But here’s the thing — according to /u/Spdload, the real challenge isn’t just getting this knowledge into an AI system. It’s why these operators would even want to help you in the first place. After 20+ years on the floor, they’ve seen countless digital projects that promised to make their lives easier, but often ended up making things more complex or threatening their jobs. So, even if you genuinely want to create tools that support them, they’re naturally skeptical. They know the history, and honestly, they’ve got every reason to be cautious. So what does this actually mean for you? Building trust and understanding their perspective is the missing piece in the puzzle. And get this — according to the same source, it’s a big deal in making any tech work in the real world.

Just read the article about how veteran factory operators have knowledge that can't be captured in any dataset. they can hear a machine failing before any sensor picks it up, stuff like that.

I work with manufacturers on AI implementation and honestly the article is spot on, but I think it's missing the harder part of the problem. Everyone in the comments is jumping to how do you capture that tacit knowledge with better instrumentation, labeling loops, operator-in-the-loop design, etc. All valid.

But there's a more basic question nobody's asking - why would the operator help you do that?

These are people who've been on the floor for 20+ years and I bet they've seen digital transformation projects come and go. They know how efficiency initiatives usually end and it's not with their job getting easier.

So even when someone genuinely wants to build something that augments them, they're walking into a room full of people who have every reason to be skeptical. And they're not wrong.

submitted by /u/Spdload
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Audio Transcript

Just read the article about how veteran factory operators have knowledge that can't be captured in any dataset. they can hear a machine failing before any sensor picks it up, stuff like that.

I work with manufacturers on AI implementation and honestly the article is spot on, but I think it's missing the harder part of the problem. Everyone in the comments is jumping to how do you capture that tacit knowledge with better instrumentation, labeling loops, operator-in-the-loop design, etc. All valid.

But there's a more basic question nobody's asking - why would the operator help you do that?

These are people who've been on the floor for 20+ years and I bet they've seen digital transformation projects come and go. They know how efficiency initiatives usually end and it's not with their job getting easier.

So even when someone genuinely wants to build something that augments them, they're walking into a room full of people who have every reason to be skeptical. And they're not wrong.

submitted by /u/Spdload
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