IS WORK OVER?

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

Nuclear 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.

TaskShareAIPoints
Neutronics, thermal-hydraulics and the file.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
Control room, tests and the set-point.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Licence, the regulator and the safety analyses.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Outage, reload and spent fuel.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
The event, safety culture and the report.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Not playing with reactivity, and signing the analysis.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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