Automation index
How much of a Production engineer’s job can AI already do?
An OEE and a sequencer come earlier. Getting the shift out without stopping the line for nothing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Production engineer
25%
AI can already do 25% of this job.
#233 / 633
View rankingProduction engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
OEE, sequence and the shift plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Line, changeovers and the micro-stop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Layout, times and the work standard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supervisors, unions and the shift that turns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
In-line quality and the batch that cannot ship.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Hit the plan, and not dressing the OEE.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- OEE
- sequence production
- changeovers
- layout
- work standards
- micro-stops
- shift plan
- in-line quality
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512