π‘ Astronomers have a composite risk score of 27/100 (Frey-Osborne probability: 4%, GenAI exposure: 72/100). With 1,560 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 1,560 workers and a median wage of $132K,astronomers represent a significant portion of the US workforce. Their GenAI exposure index is 72%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
27/100
Employment
1,560
Median Wage
$132K
GenAI Exposure
72%
β οΈ Top Risk Factors
Automated laboratory instrumentation and workflows
Large language model automation of analysis tasks
Machine learning models replacing manual hypothesis testing
π‘οΈ Tasks AI Can't Easily Replace
Interpreting ambiguous results with domain expertise
Collaborative scientific discourse and peer review
Ethical oversight of research involving human subjects
Fieldwork in unstructured natural environments
Designing novel experiments and research methodologies
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
79% 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 astronomers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for astronomers?
Astronomers have a composite AI automation risk score of 27 out of 100, classified as "Moderate".
How many astronomers are there in the US?
There are approximately 1,560 astronomers employed in the United States.
What do astronomers earn?
The median annual wage for astronomers is $132K.
What skills should astronomers develop?
Focus on tasks AI can't easily replicate: interpreting ambiguous results with domain expertise, collaborative scientific discourse and peer review, ethical oversight of research involving human subjects, fieldwork in unstructured natural environments, designing novel experiments and research methodologies. These human-centric skills will become more valuable as routine tasks are automated.