8 /10
Very high AI exposure Rank #38 of 493

Life Physical & Social Science

Atmospheric scientists, including meteorologists

AI Displacement Score: 8/10 - Very high AI exposure

Workers

9,400

Median Pay

$97,450

Job Outlook

+1%

Key Finding

Atmospheric scientists, including meteorologists face very high ai exposure AI displacement risk, scoring 8/10 on the JobHunter AI Displacement Index (global average: 5.7/10). There are approximately 9,400 workers in this role in the US, earning a median of $97,450.

Source: JobHunter AI Displacement Index - 342 occupations analyzed using Karpathy's research framework

What does 8/10 mean?

0 - AI-proof Global avg: 5.7 10 - Fully exposed

Atmospheric scientists, including meteorologists scored 8/10 across 342 occupations analyzed using Karpathy's AI displacement research framework. The global average is 5.7/10. This role is significantly more exposed than average.

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Frequently Asked Questions

Will AI replace atmospheric scientists, including meteorologists?
Atmospheric scientists, including meteorologists scored 8/10 on AI displacement risk (global average: 5.7). This means very high ai exposure risk of significant AI disruption. Rather than full replacement, most roles at this level see task automation - certain parts of the job get absorbed by AI while new responsibilities emerge.
What is the AI displacement score for atmospheric scientists, including meteorologists?
The AI displacement score for Atmospheric scientists, including meteorologists is 8 out of 10, based on analysis of 342 occupations using Karpathy's research framework. The global average is 5.7/10. Similar roles score: Geographers (8/10), Political scientists (8/10), Biochemists and biophysicists (7/10).
How many atmospheric scientists, including meteorologists are there in the US?
There are approximately 9,400 atmospheric scientists, including meteorologists in the United States, with a median pay of $97,450 and a projected job outlook of +1%.
What should atmospheric scientists, including meteorologists do about AI?
With a score of 8/10, atmospheric scientists, including meteorologists should focus on skills AI can't easily replicate: complex judgment, relationship building, creative problem-solving, and physical-world interaction. Learning to use AI tools as leverage (not competition) is the highest-ROI move.

What AI can already do in this role

  • Draft reports and analysis in seconds that used to take hours
  • Automate data entry, reconciliation, and pattern detection
  • Generate first drafts of client communications and proposals

These capabilities are live today. Your full survival report covers what's coming next.

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