π‘ Nuclear Technicians have a composite risk score of 67/100 (Frey-Osborne probability: 85%, GenAI exposure: 63/100). With 5,990 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 5,990 workers and a median wage of $104K,nuclear technicians represent a significant portion of the US workforce. Their GenAI exposure index is 63%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
67/100
Employment
5,990
Median Wage
$104K
GenAI Exposure
63%
β οΈ Top Risk Factors
AI-generated written content replacing manual drafting
AI-accelerated data analysis and pattern recognition
AI-powered research and literature review tools
Generative AI producing marketing and creative copy
π‘οΈ Tasks AI Can't Easily Replace
Designing novel experiments and research methodologies
Ethical oversight of research involving human subjects
Interpreting ambiguous results with domain expertise
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
53% skills overlap Β· $226K median wage
Political Scientists
84% skills overlap Β· $139K median wage
Social Scientists and Related Workers
82% skills overlap Β· $93K median wage
β Frequently Asked Questions
Will AI completely replace nuclear technicians?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for nuclear technicians?
Nuclear Technicians have a composite AI automation risk score of 67 out of 100, classified as "High Risk".
How many nuclear technicians are there in the US?
There are approximately 5,990 nuclear technicians employed in the United States.
What do nuclear technicians earn?
The median annual wage for nuclear technicians is $104K.
What skills should nuclear technicians develop?
Focus on tasks AI can't easily replicate: designing novel experiments and research methodologies, ethical oversight of research involving human subjects, interpreting ambiguous results with domain expertise. These human-centric skills will become more valuable as routine tasks are automated.