Automation index
How much of a Process engineer’s job can AI already do?
A diagram and a balance come earlier. Stopping the plant and not overloading the reactor do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Process engineer
26%
AI can already do 26% of this job.
#205 / 633
View rankingProcess 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 |
|---|---|---|---|
P&IDs, balances and the operating procedure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Plant, trials and the real bottleneck.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Capacity, yields and the improvement report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Start-up, shutdown and the shift that skips the SOP.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Process safety and the HAZOP that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Not overloading the reactor, and signing the change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- P&IDs
- mass balances
- HAZOP
- plant start-up
- improve yields
- SOP
- bottlenecks
- process safety
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