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?
Climatologist
27%
#140 / 623
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112