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 / 633
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?
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