π‘ Physicists have a composite risk score of 28/100 (Frey-Osborne probability: 10%, GenAI exposure: 83/100). With 21,340 workers in the US, this occupation remains well-protected against automation. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 21,340 workers and a median wage of $166K,physicists represent a significant portion of the US workforce. Their GenAI exposure index is 83%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
28/100
Employment
21,340
Median Wage
$166K
GenAI Exposure
83%
β οΈ Top Risk Factors
Robotic sample preparation and experimentation
AI-accelerated data analysis and pattern recognition
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Designing novel experiments and research methodologies
Collaborative scientific discourse and peer review
Interpreting ambiguous results with domain expertise
Ethical oversight of research involving human subjects
Fieldwork in unstructured natural environments
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
55% skills overlap Β· $226K median wage
Political Scientists
71% skills overlap Β· $139K median wage
Social Scientists and Related Workers
84% skills overlap Β· $93K median wage
β Frequently Asked Questions
Will AI completely replace physicists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for physicists?
Physicists have a composite AI automation risk score of 28 out of 100, classified as "Moderate".
How many physicists are there in the US?
There are approximately 21,340 physicists employed in the United States.
What do physicists earn?
The median annual wage for physicists is $166K.
What skills should physicists develop?
Focus on tasks AI can't easily replicate: designing novel experiments and research methodologies, collaborative scientific discourse and peer review, interpreting ambiguous results with domain expertise, ethical oversight of research involving human subjects, fieldwork in unstructured natural environments. These human-centric skills will become more valuable as routine tasks are automated.