Will AI replace Atmospheric and Space Scientists?

AI can do 91% of the work Atmospheric and Space Scientists do at least twice as fast. People already use it for 1 of their 27 tasks, while 21 more are ready but barely used so far. Robots can technically handle 1 physical task. 4 still need a person.

AI is already doing this1 · 9% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.Mostly automated9% of time

AI could do this next21 · 82% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.16% of time
  • Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.9% of time
  • Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.8% of time
  • Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.6% of time
  • Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.6% of time
  • Develop or use mathematical or computer models for weather forecasting.5% of time
  • Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.4% of time
  • Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.4% of time
  • Prepare scientific atmospheric or climate reports, articles, or texts.4% of time
  • Develop computer programs to collect meteorological data or to present meteorological information.4% of time
  • Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns.3% of time
  • Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.3% of time
  • Speak to the public to discuss weather topics or answer questions.3% of time
  • Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.1% of time
  • Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.1% of time
  • Create visualizations to illustrate historical or future changes in the Earth's climate, using paleoclimate or climate geographic information systems (GIS) databases.1% of time
  • Estimate or predict the effects of global warming over time for specific geographic regions.1% of time
  • Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends.1% of time
  • Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion.1% of time
  • Research the impact of industrial projects or pollution on climate, air quality, or weather phenomena.1% of time
  • Develop and deliver training on weather topics.1% of time

Robots can technically do this1 · 0% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Collect air samples from planes or ships over land or sea to study atmospheric composition.Robots: structured workplacesunder 1% of time

Still needs a person4 · 9% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.4% of time
  • Direct forecasting services at weather stations or at radio or television broadcasting facilities.3% of time
  • Conduct wind assessment, integration, or validation studies.1% of time
  • Teach college-level courses on topics such as atmospheric and space science, meteorology, or global climate change.1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. Real use is still behind at 8 out of 100, so the change here is only getting started. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 21 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 1 physical task robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 4 tasks that stay human. This is where your judgment, skill and relationships matter most.
Climate Change Policy Analysts94%Environmental Restoration Planners94%Environmental Scientists and Specialists, Including Health95%Industrial Ecologists97%Hydrologists85%Materials Scientists76%

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