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?

24%

AI can already do 24% of this job.

#267 / 633

Nuclear engineer

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. 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
Total	100%		24%

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

IS WORK OVER?

27%

#153 / 633

E-learning trainer

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
Script, SCORM and the platform. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tutoring, the forum and the one who vanishes. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Assess, copying and the one who does not log in. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Design, the video and not drowning in text. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the deadline and not delivering a dressed-up PDF. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they learn, and not dropping out. Estimate No 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