Automation index
How much of a Nuclear engineer’s job can AI already do?
A core model comes earlier. Running the plant and not playing with reactivity do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Nuclear engineer
24%
AI can already do 24% of this job.
#267 / 623
View rankingNuclear 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 |
|---|---|---|---|
Neutronics, thermal-hydraulics and the file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Control room, tests and the set-point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Licence, the regulator and the safety analyses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Outage, reload and spent fuel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The event, safety culture and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not playing with reactivity, and signing the analysis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- neutronics
- thermal-hydraulics
- nuclear licence
- reload
- safety analysis
- control room
- spent fuel
- safety culture
Sources for this job· O*NET 17-2161.00· ESCO/ISCO 2149
IS WORK OVER?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142