Will AI replace Nuclear Technicians?
Estimated risk score: 32 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (13 to 51).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-4051.00 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 21 rated tasks; the first 1 are shown. In O*NET’s words.
- Calculate equipment operating factors, such as radiation times, dosages, temperatures, gamma intensities, or pressures, using standard formulas and conversion tables.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 16 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Modify, devise, or maintain nuclear equipment used in operations.
- Apply safety tags to equipment needing maintenance.
- Conduct surveillance testing to determine safety of nuclear equipment.
- Follow nuclear equipment operational policies and procedures that ensure environmental safety.
- Follow policies and procedures for radiation workers to ensure personnel safety.
- Test plant equipment to ensure it is operating properly.
What the job is
Assist nuclear physicists, nuclear engineers, or other scientists in laboratory, power generation, or electricity production activities. May operate, maintain, or provide quality control for nuclear testing and research equipment. May monitor radiation.
Also called: Licensed Nuclear Operator, Nuclear Auxiliary Operator, Nuclear Equipment Operator (NEO), NEO, NLO, NAPEO, Gamma Operator, Facilities Operator.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate