Will AI replace Astronomers?
AI reaches a large part of this job’s work.
44/100
High exposure
More exposed to AI than 71% of US workers.
- AI already used in
- 25% of the work
- As AI tools mature: up to
- 61% of the work
What the job involves
Observe, research, and interpret astronomical phenomena to increase basic knowledge or apply such information to practical problems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(4)
- Analyze research data to determine its significance, using computers.
- Study celestial phenomena, using a variety of ground-based and space-borne telescopes and scientific instruments.
- Review scientific proposals and research papers.
- Develop instrumentation and software for astronomical observation and analysis.
Within reach(7)
- Present research findings at scientific conferences and in papers written for scientific journals.
- Collaborate with other astronomers to carry out research projects.
- Develop theories based on personal observations or on observations and theories of other astronomers.
- Raise funds for scientific research.
- Develop and modify astronomy-related programs for public presentation.
and 2 more
Out of reach(6)
- Mentor graduate students and junior colleagues.
- Supervise students' research on celestial and astronomical phenomena.
- Teach astronomy or astrophysics.
- Measure radio, infrared, gamma, and x-ray emissions from extraterrestrial sources.
- Serve on professional panels and committees.
and 1 more
Also called
Astrophysicist · Astronomer · Astronomy Outreach Coordinator · Research Astrophysicist · Cosmologist · Extragalactic Astronomer · Galactic Astronomer · High-Energy Astrophysicist
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics