19-2021.00
Atmospheric and Space Scientists
Investigate atmospheric phenomena and interpret meteorological data, gathered by surface and air stations, satellites, and radar to prepare reports and forecasts for public and other uses. Includes weather analysts and forecasters whose functions require the detailed knowledge of meteorology.
This role faces substantial AI disruption
More at risk than 69% of occupations we track
Disruption Vector
Hybrid Threat
Both AI software and physical automation threaten different aspects of this role, creating a compound risk from multiple directions.
Atmospheric and space scientists rely on increasingly AI-driven models: NVIDIA's FourCastNet and Google DeepMind's GraphCast have shown AI weather forecasting can match or exceed traditional NWP models on medium-range forecasts. However, research scientists who develop these AI systems, interpret edge cases, and communicate forecast uncertainty to policymakers remain essential. By 2027, operational forecasters at agencies like NOAA may see headcount pressure as AI systems require less human correction, while research scientists remain in demand.
Salary & Job Outlook
AI Risk Timeline
Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.
Skills Analysis — AI Vulnerability
Career Pivot Paths
If you're a Atmospheric and Space Scientists, consider pivoting toward these lower-risk roles:
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Atmospheric and Space Scientists
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You're more at risk than a Logistics Engineers (score: 1.6). Maybe it's time to rethink.
This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →