9 /10
Very high AI exposure Rank #21 of 493

Math

Mathematicians and statisticians

AI Displacement Score: 9/10 - Very high AI exposure

Workers

34,600

Median Pay

$104,350

Job Outlook

+8%

Key Finding

Mathematicians and statisticians face very high ai exposure AI displacement risk, scoring 9/10 on the JobHunter AI Displacement Index (global average: 5.7/10). There are approximately 34,600 workers in this role in the US, earning a median of $104,350.

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

What does 9/10 mean?

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

Mathematicians and statisticians scored 9/10 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.

Similar Roles

Data scientists 9/10 Operations research analysts 9/10 Actuaries 8/10

Math - All Scores

Data scientists 9/10
Operations research analysts 9/10
Actuaries 8/10

Frequently Asked Questions

Will AI replace mathematicians and statisticians?
Mathematicians and statisticians scored 9/10 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 mathematicians and statisticians?
The AI displacement score for Mathematicians and statisticians is 9 out of 10, based on analysis of 342 occupations using Karpathy's research framework. The global average is 5.7/10. Similar roles score: Data scientists (9/10), Operations research analysts (9/10), Actuaries (8/10).
How many mathematicians and statisticians are there in the US?
There are approximately 34,600 mathematicians and statisticians in the United States, with a median pay of $104,350 and a projected job outlook of +8%.
What should mathematicians and statisticians do about AI?
With a score of 9/10, mathematicians and statisticians 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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