Science · SOC 19-2011
AI excels at data analysis and pattern recognition in astronomy, but research creativity, teaching, and public outreach stay human.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will handle sky survey analysis and anomaly detection within 3 years, making astronomers who pair domain expertise with ML skills significantly more productive.
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$93,330 median pay
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$93,330 median pay
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AI job-risk card
Astronomers is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Astronomers is 48/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
48 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Analyzing large astronomical datasets, Reviewing and summarizing research papers, Preparing public outreach presentations, Writing grant proposals. Harder to automate: Teaching and mentoring students, Serving on scientific panels and committees, Directing observatory or planetarium operations, Formulating novel research hypotheses.
Lean into Machine learning for astronomical data, Science communication and outreach, Research leadership, Telescope and instrumentation management. Consider roles such as Astronomy faculty member or Space mission scientist or Planetarium director.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.