# Will atmospheric scientists be replaced by AI? Updated October 2026 Atmospheric scientists score 54 out of 100 for AI exposure. AI helps with 78% of their task time, and they stay in charge. AI can do another 14%. 8% needs a person. - **14%** AI can do it - **78%** AI helps - **8%** Needs a person High exposure Higher than 83% of the 923 jobs we scored. ## Task by task We graded 27 tasks, most exposed first. AI can do 3 of them, helps with 21 and leaves 3 to people. | Task | AI exposure | | --- | --- | | Develop computer programs to collect meteorological data or to present meteorological information. AI coding tools write most data collection and display scripts. | 70% AI can do it | | Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics. Graphics software and AI generate maps; staff check accuracy. | 70% AI can do it | | Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts. Sensor and satellite feeds are already automated; AI handles QC. | 65% AI can do it | | Prepare scientific atmospheric or climate reports, articles, or texts. AI drafts most report text; scientists verify facts and claims. | 65% AI helps | | Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups. AI drafts tailored briefings from model output; staff review them. | 58% AI helps | ## How atmospheric scientists compare All jobs (923) Life, physical and social science (60) The dark line is **atmospheric scientists, at 54**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 47 for life, physical and social science. ## Pay and outlook in the US Median pay $99,070 a year, May 2025 People employed 10,000 in the US, May 2025 Projected change in jobs +2.6% from 2024 to 2034 ## Skills to build - Verify AI-drafted forecasts against surface and radar observations - Write and debug forecast code in Python and R - Launch weather balloons for upper air wind and temperature measurements - Build climate visualizations in GIS using paleoclimate databases - Query observation databases with SQL for forecast validation - Brief industry and government clients on tailored forecast products ## Safer roles nearby 5 related jobs with lower scores. - [Hydrologists48 out of 100](https://www.aigentcy.com/ai-exposure/hydrologists/) - [Geoscientists46 out of 100](https://www.aigentcy.com/ai-exposure/geoscientists/) - [Remote sensing scientists49 out of 100](https://www.aigentcy.com/ai-exposure/remote-sensing-scientists/) - [Geological technicians43 out of 100](https://www.aigentcy.com/ai-exposure/geological-technicians/) - [Geodetic surveyors51 out of 100](https://www.aigentcy.com/ai-exposure/geodetic-surveyors/) ## Questions about atmospheric scientists and AI Will AI replace atmospheric scientists? Partly. About 4 in 10 working hours of an atmospheric scientist go to tasks AI can already do, mostly developing data collection programs and preparing weather maps. Forecasting judgment, field sampling, and live public briefings stay with people because they need trained judgment and physical presence. Which atmospheric scientist tasks is AI taking over? Developing data collection and display programs is the most exposed task, with an exposure score of 70, because AI coding tools write most of the scripts. Preparing weather maps with graphics software, also 70, follows because AI generates the maps and staff only check accuracy. Gathering satellite and radar feeds, scored 65, is already largely automated. Which atmospheric scientist tasks stay human? Collecting air samples from aircraft and ships, with an exposure score of 4, stays human because it needs physical presence in the field. Launching weather balloons for upper air measurements, scored 5, needs hands on equipment. Speaking to the public about weather, scored 25, stays with people because live questions depend on human trust. How can atmospheric scientists stay valuable? Move toward verification and interpretation of AI output. Review model output in Python and R, check AI-generated climate visualizations against paleoclimate GIS data, and fact-check every claim in scientific texts before publication. Keep direct control of forecasting operations at stations and hold consultations with agencies on warnings. ## Related jobs - [Data scientists67 out of 100](https://www.aigentcy.com/ai-exposure/data-scientists/) - [GIS technicians62 out of 100](https://www.aigentcy.com/ai-exposure/gis-technicians/) - [Climate change policy analysts58 out of 100](https://www.aigentcy.com/ai-exposure/climate-change-policy-analysts/) - [Geographers53 out of 100](https://www.aigentcy.com/ai-exposure/geographers/) ## Next steps for atmospheric scientists - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of atmospheric scientists, and what they cost. [Estimate what AI saves a team of atmospheric scientists](https://www.aigentcy.com/tools/team-ai-audit/?role=atmospheric-scientists) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.