Will AI replace professional athletes?

Very little of the work today. AI could take on about 9% of the working time in a typical professional athlete job today. The other 91% still needs a person.

91% of the work still needs a person.

Needs a person: 91%A person checking AI: 4%AI alone: 5%

The bracket under the bar is the evidence range for the share AI could take on: 9 to 13%. 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.

9 responsibilities in a typical professional athlete job. Median pay $66,710 a year in the U.S. (BLS, May 2025).

Still needs a person

  • Review your own performance after competing
  • Compete in athletic events
  • Attend practice and training sessions
  • Maintain your sport's equipment
  • Train under a coach's direction
  • Talk through performance with coaches

AI can do or help with

None of the listed responsibilities, by our scores.

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 9, with the reason for each and the cost of handing them to AI.

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Questions people ask

Will AI replace professional athletes?

Very little of the work today. AI could take on about 9% of the working time in a typical professional athlete job today. The other 91% 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?

None of the listed responsibilities, by our scores.

Which parts still need a person?

The biggest ones: review your own performance after competing, compete in athletic events, attend practice and training sessions, maintain your sport's equipment, train under a coach's direction, talk through performance with coaches.

How is this measured?

The U.S. Department of Labor lists 9 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 9 to 13%. 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 0.7.17, updated October 28, 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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