π‘ Nuclear Engineers have a composite risk score of 35/100 (Frey-Osborne probability: 7%, GenAI exposure: 81/100). With 14,740 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 14,740 workers and a median wage of $128K,nuclear engineers represent a significant portion of the US workforce. Their GenAI exposure index is 81%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
35/100
Employment
14,740
Median Wage
$128K
GenAI Exposure
81%
β οΈ Top Risk Factors
AI-optimized manufacturing process design
AI-powered research and literature review tools
AI-generated written content replacing manual drafting
π‘οΈ Tasks AI Can't Easily Replace
Cross-disciplinary collaboration on complex projects
Safety-critical judgment in design review
On-site problem-solving in variable physical conditions
Novel engineering design for unprecedented challenges
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
80% skills overlap Β· $106K median wage
Electronics Engineers, Except Computer
72% skills overlap Β· $128K median wage
Political Scientists
65% skills overlap Β· $139K median wage
β Frequently Asked Questions
Will AI completely replace nuclear engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for nuclear engineers?
Nuclear Engineers have a composite AI automation risk score of 35 out of 100, classified as "Moderate".
How many nuclear engineers are there in the US?
There are approximately 14,740 nuclear engineers employed in the United States.
What do nuclear engineers earn?
The median annual wage for nuclear engineers is $128K.
What skills should nuclear engineers develop?
Focus on tasks AI can't easily replicate: cross-disciplinary collaboration on complex projects, safety-critical judgment in design review, on-site problem-solving in variable physical conditions, novel engineering design for unprecedented challenges. These human-centric skills will become more valuable as routine tasks are automated.