The most common question in AI workshops at factories: "Will AI replace the production engineer?" The answer is uncomfortable. It will not replace the engineer. It will replace those who refuse to use it.
01 WHERE THE FEARS COME FROM
Production engineers are people who have built their professional value on technical knowledge, shop floor experience and problem-solving skills. Each of those three pillars is now being debated in the context of AI:
Technical knowledge: AI can search through the documentation of 200 machines in seconds. Experience: predictive models learn from historical data across an entire industry, not a single plant. Problem solving: generative AI proposes solutions that no single person would ever think of.
02 WHAT THE DATA SAYS
From our conversations with 80+ engineers in 12 plants (Poland, Germany, Czech Republic, USA) the fears are real but out of proportion with the facts:
• 82% of engineers fear losing professional value to AI
• 12% of them actively use AI tools in their daily work
• 3% of those 12% report a significant productivity increase
03 WHAT AI DOES WITH THE BEST ENGINEERS
The best engineers I have observed in the last 2 years use AI for four things:
1. Line data analysis. Instead of 4 hours in Excel — 15 minutes in an AI tool. Time goes into interpretation, not into typing formulas.
2. Generating hypotheses. "Why does indicator X drop on Fridays" — AI proposes 8 hypotheses in 30 seconds. The engineer picks the 2 most likely and verifies them on the floor.
3. Technical documentation. Writing SOPs, manuals, incident reports — AI does the first draft, the engineer verifies and adds shop floor context.
4. Failure prediction. Vibrations, temperatures, wear — AI sees patterns in 6 months of data faster than a human with a notebook.
04 WHAT AI DOES NOT DO
AI will not walk onto the shop floor. It will not talk to the foreman whose line has been producing scrap for three weeks. It will not notice that a socket wrench is in the wrong drawer because someone went on sick leave and never came back. It will not help with a situation that is missing from historical data — because it happens once every two years.
The production engineer is the translator between the world of the shop floor and the world of data. AI speeds up working with data, but the translator still has to be a human.
05 WHAT TO DO TODAY
If you are a production engineer and you feel concerned — that's a good sign. It means you are taking the topic seriously. Three concrete steps:
• Start using it. Pick one AI tool (ChatGPT, Claude, Copilot) and put it in front of one real problem from your line. Just one.
• Measure the difference. Time, quality of the result, number of ideas. Without metrics, it's just play.
• Learn how to ask questions. 80% of the value of working with AI comes from being able to formulate a problem precisely. This is not a new skill — it's the same skill an engineer has from day one on the job.
AI will not take engineers' jobs. AI will take the jobs of those engineers who refuse to use it. Just as the computer took the jobs of draftsmen who never learned CAD. The choice belongs to each individual.