Will AI replace data scientists?

Much of the work, but not all of it. AI could take on about 71% of the working time in a typical data scientist job today. The other 29% still needs a person.

Data scientist at work

29% of the work still needs a person.

Needs a person: 29%A person checking AI: 25%AI alone: 46%

The bracket under the bar is the evidence range for the share AI could take on: 54 to 71%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.

16 responsibilities in a typical data scientist job. Median pay $120,230 a year in the U.S. (BLS, May 2025).

Still needs a person

  • Recommend solutions to stakeholders AI helps
  • Present findings to leaders AI helps
  • Spot business problems data can solve AI helps
  • Turn analysis into business solutions AI helps
  • Find patterns and trends in data AI helps
  • Test and refine prediction models AI helps

AI can do or help with

  • Analyze large data sets with software AI can do it
  • Recommend solutions to stakeholders AI helps
  • Find patterns and trends in data AI helps
  • Turn data into charts and visuals AI can do it
  • Write code for data analysis AI can do it
  • Spot business problems data can solve AI helps

The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 16, with the reason for each and the cost of handing them to AI.

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Questions people ask

Will AI replace data scientists?

Much of the work, but not all of it. AI could take on about 71% of the working time in a typical data scientist job today. The other 29% still needs a person. That is a split of the work, not a forecast of jobs lost.

Which parts of the job can AI do?

The biggest ones AI can do or help with: analyze large data sets with software, recommend solutions to stakeholders, find patterns and trends in data, turn data into charts and visuals, write code for data analysis, spot business problems data can solve.

Which parts still need a person?

The biggest ones: recommend solutions to stakeholders, present findings to leaders, spot business problems data can solve, turn analysis into business solutions, find patterns and trends in data, test and refine prediction models.

How is this measured?

The U.S. Department of Labor lists 16 responsibilities for this job (O*NET 31.0). Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 54 to 71%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.8.8, updated November 13, 2026.

Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.

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