Will AI replace Athletes and Sports Competitors?
Estimated risk score: 14 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 33).
Low confidence: only 9 of its tasks are rated.
For the occupation as a whole, from ratings of its 9 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-2021.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 9 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 9 of its 9 rated tasks; the first 6 are shown. In O*NET’s words.
- Attend scheduled practice or training sessions.
- Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions.
- Lead teams by serving as captain.
- Maintain equipment used in a particular sport.
- Participate in athletic events or competitive sports, according to established rules and regulations.
- Receive instructions from coaches or other sports staff prior to events and discuss performance afterwards.
What the job is
Compete in athletic events.
Also called: Hockey Player, Baseball Player, Race Car Driver, Golf Professional, Gamer, Rower, Skier, Bowler.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate