Shigoto Zukan
日本語

Will AI replace atmospheric and space scientists?AI replacement risk 73% and how the work is changing

United States Engineering & Science Confidence ★★★★★

Median annual pay
$99,070
25th–75th pct. $73,350–$129,960
Top pay (est.)
$210,500
Top 10% $161,890
Pay in 5 years
$110,700est.
2031
Pay in 10 years
$123,600est.
$106,300–$143,500
Outlook score
49/100
★★☆☆☆ Average
AI replacement risk
73%
High
Job growth (10 yr)
+2.6%
800 openings / yr

Will AI replace Atmospheric and Space Scientists? AI replacement risk

73%
High
Ranked #758 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Atmospheric and Space Scientists

Key skills

Reading Comprehension
4.9
Science
4.9
Speaking
4.4
Active Listening
4.2
Critical Thinking
4.1
Active Learning
4.1
Writing
4.0
Complex Problem Solving
4.0

O*NET skill level ratings (0–7).

Key knowledge areas

Mathematics
6.0
Computers and Electronics
5.7
Geography
5.7
Physics
5.3
English Language
4.5
Customer and Personal Service
4.1
Chemistry
4.0
Education and Training
4.0

What the work involves

Analyzing Data or InformationProcessing InformationGetting InformationUpdating and Using Relevant KnowledgeMaking Decisions and Solving ProblemsCommunicating with People Outside the OrganizationInterpreting the Meaning of Information for OthersThinking Creatively

Important abilities

Oral ExpressionOral ComprehensionWritten ComprehensionWritten ExpressionDeductive ReasoningInductive Reasoning

Education of workers

Bachelor's degree
60%
Master's degree
20%
Doctoral degree
15%
Post-doctoral training
5%

Training before entry

None / short demo
30%
1–2 years
25%
1–3 months
20%
Up to 1 month
20%
6–12 months
5%

Related work experience

1–2 years
30%
2–4 years
15%
4–6 years
15%
6–12 months
15%
6–8 years
10%
None
5%
Over 10 years
5%
1–3 months
5%

Job Zone 4 — considerable preparation needed (O*NET)

Difficulty of entry: ★★★☆☆ Moderate (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.