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%

#169 / 633

Office manager

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
Vendors, contracts and the inventory. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Facilities, the air-con and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Onboarding, keys and the desk. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Budget, the extra and not overspending. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Management, the surprise and not leaving the office dark. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it works, and not running out of paper. 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