Data scientists AI Displacement Score: 9/10

Key Finding

Data scientists 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 245,900 workers in this role in the US, earning a median of $112,590.

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

Data scientists 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.

Math - All Scores

Mathematicians and statisticians 9/10

Operations research analysts 9/10

Actuaries 8/10

Frequently Asked Questions

Will AI replace data scientists?

Data scientists 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 data scientists?

The AI displacement score for Data scientists 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: Mathematicians and statisticians (9/10), Operations research analysts (9/10), Actuaries (8/10).

How many data scientists are there in the US?

There are approximately 245,900 data scientists in the United States, with a median pay of $112,590 and a projected job outlook of +34%.

What should data scientists do about AI?

With a score of 9/10, data scientists 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