56
/100

SOC 19-2021

Atmospheric and Space Scientists

ElevatedFrey/Osborne: 67.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

8,780

Total workers

Median Wage

๐Ÿ’ฐ

$97K

$50K โ€“ $161K

Projected Growth

๐Ÿ“ˆ

+0.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

88/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Atmospheric and Space Scientists face a risk score of 56/100 โ€” 12 points above the national average of 44. With 88/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $97K ($51K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 56/100, Atmospheric and Space Scientists faces moderate automation pressure. While tasks like chatbot displacement of customer-facing interactions are increasingly handled by AI, the role retains significant human elements. The 8,780 workers in this occupation should focus on strengthening skills in ethical oversight of research involving human subjects and collaborative scientific discourse and peer review to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Atmospheric and Space Scientists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Chatbot displacement of customer-facing interactions

2

AI summarization replacing manual report compilation

3

AI-powered research and literature review tools

4

Robotic sample preparation and experimentation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical oversight of research involving human subjects

โœ“

Collaborative scientific discourse and peer review

โœ“

Fieldwork in unstructured natural environments

โœ“

Interpreting ambiguous results with domain expertise

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Develop or use mathematical or computer models for weather forecasting.

โ€ข

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.

โ€ข

Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.

โ€ข

Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.

โ€ข

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.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Analytical or scientific software

โ€ข

Video creation and editing software

โ€ข

Object or component oriented development software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Physics

โ€ข

Geography

โ€ข

Computers and Electronics

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$97K
+$51K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure88/100
+50

National avg: 38/100

Projected Growth0.7%
-3.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K51%
Political Scientists25$139K77%
Social Scientists and Related Workers21$93K75%