Automation index
How much of a Industrial engineer’s job can AI already do?
Simulating a line and drafting a procedure can already be farmed out. Planting it into real shifts cannot.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Industrial engineer
28%
AI can already do 28% of this job.
#102 / 623
View rankingIndustrial 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 |
|---|---|---|---|
Model processes, balances and a first plant layout.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 45% | +9.9 |
Draft procedures, PFDs and operating instructions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Analyse cost, bottlenecks and OEE from data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Coordinate suppliers, maintenance and production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Commissioning and plant trials.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Capex calls and industrial-safety liability.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 10% | +1.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Commissioning and plant trials
- ingeniero industrial
- industrial engineer
- procesos industriales
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
IS WORK OVER?
Prompt engineer
34%
#21 / 623
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