Somewhat Resilient
Last Update: 7/31/2026
AI Resilience Score for Athletes/Sport Competitors:
44.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forAthletes and Sports Competitors
$66,710 median salary•2,100 annual openings•SOC Code: 27-2021.00
Athletes and Sports Competitors are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Athletes and sports competitors land in the "Somewhat Resilient" category because the core of the job, actually playing and competing, is something no AI can do for you. That said, a lot of the work surrounding athletic careers is changing fast, with AI now handling film review, injury prediction, nutrition planning, and even personal branding tasks that used to require a whole team of humans.
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Athletes and sports competitors land in the "Somewhat Resilient" category because the core of the job, actually playing and competing, is something no AI can do for you. That said, a lot of the work surrounding athletic careers is changing fast, with AI now handling film review, injury prediction, nutrition planning, and even personal branding tasks that used to require a whole team of humans.
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Athletes/Sport Competitors
Updated Quarterly
How is AI changing Athletes/Sport Competitors jobs?
When it comes to athletes, AI is mostly being used to augment — not replace — the people on the field. According to Deloitte's 2026 Global Sports Industry Outlook [1], teams are deploying AI to "protect and optimize sports organizations' most valuable assets—their players—by assessing player fitness and conditioning, predicting and preventing injuries, and using AI agents to review game film." A new paper in Clinical Practice in Athletic Training [2] (March 2026) describes how AI-driven computer vision and "digital twin" models let trainers test rehab plans and spot early injury signals without putting athletes at risk. Leagues are scaling this fast: the NBA and AWS launched "NBA Inside the Game" [3], turning billions of tracking data points into coaching and broadcast insights.
Even individual athletes are experimenting with general-purpose tools — Ukrainian Paralympian Maksym Murashkovskyi credited ChatGPT as "revolutionary" for his training [4] ahead of the 2026 Winter Paralympics, and a New York Times-syndicated report [5] found two-thirds of gymgoers used AI fitness software in 2025. The actual physical performance — running, jumping, competing — still has to be done by humans, but the thinking around it (film review, recovery, nutrition, media content) is increasingly AI-assisted.
Sources
How fast is AI adoption growing for Athletes/Sport Competitors?
Adoption is moving quickly because the economic upside is huge: a single injury can cost millions, and AI prediction tools are cheap compared with the value of keeping a star healthy. AI also lowers content costs — Frontiers researchers found [6] that generative AI is helping athletes build personal brands and reach fans directly, bypassing traditional gatekeepers. But there are real brakes too.
LaLiga Business School warns [7] that biased algorithms can quietly affect "talent identification and scouting, player valuation models, performance predictions," meaning unconventional athletes may be unfairly overlooked. Privacy of biometric data, the "black box" problem, and union pushback all slow things down. The good news for young people: the human qualities that matter most in this career — grit, teamwork, leadership, charisma with fans, and the actual ability to play — aren't going anywhere.
AI is becoming a powerful training partner, but the athlete is still the athlete.
Sources
Will AI replace Athletes/Sport Competitors?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 44.3% AI Resilience Score reflects the reality that this career sits in a genuinely mixed spot. AI is already doing a lot of the thinking work around athletics: teams use it to assess player fitness, predict injuries, and review game film [1], and two-thirds of gymgoers were using AI fitness software in 2025 [5]. The NBA is turning billions of tracking data points into coaching and broadcast insights [3]. That is real, fast-moving change.
But none of that replaces the athlete. The running, jumping, competing, and connecting with fans still has to be done by a human body with a human story behind it. Generative AI is even helping athletes build personal brands and reach fans directly [6], which means the career itself can expand in new directions. The physical performance is the product, and AI cannot manufacture that.
The honest caution is economic. Wages and long-term earning flexibility in this field score on the lower end, and algorithmic bias in scouting tools could quietly disadvantage unconventional athletes [7]. AI is a powerful training partner, but young people entering this career should plan to use it, not just compete against it.
Sources
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Latest AI news for Athletes/Sport Competitors
These articles highlight how AI is transforming careers in athletics and sports competition. For instance, the integration of sports nutrition and psychological readiness through AI in Taekwondo can help athletes optimize their performance. Additionally, the use of AI in college athletics is streamlining training and injury prevention, enhancing athletes' competitive edge. Students can embrace AI as a tool for resilience in their careers, ensuring they stay ahead in a rapidly evolving sports landscape while maintaining the essential human element in their performance.
Digital twin for Taekwondo athletes: integrating sports nutrition and psychological readiness using artificial intelligence
www.frontiersin.org • 4/9/2026
BackgroundTaekwondo is a high-intensity Olympic combat sport that requires the integration of physical performance, tactical decision-making,...
Is Artificial Intelligence Turning Athletes Into Robots and Robots Into Athletes?
www.psychiatrictimes.com • 1/21/2026
Artificial intelligence revolutionizes sports, enhancing performance and officiating, while raising concerns about the human element of...
University Athletic Departments Optimize Performance with AI
edtechmagazine.com • 12/2/2025
College sports teams are racing to adopt artificial intelligence solutions to help optimize training, prevent injuries and give athletes a...
AI-Powered Athletic Performance: Unlocking the Future of Training, Recovery and Competition
athleticsweekly.com • 10/1/2025
AW promotion. Artificial intelligence is no longer something athletes talk about in the future tense. It is already part of modern track and...
How AI Is Revolutionizing Professional Sports
www.forbes.com • 8/16/2024
AI is being put to greater use to enhance all areas of sports from the athlete to the fan, the coach to the referee, and even in judging athletic competition.
More Career Info
Career: Athletes and Sports Competitors
They train and compete in sports to win games and improve their skills while representing teams or themselves in various competitions.
Parent Careers
Employment & Wage Data
Median Wage
$66,710
Jobs (2024)
19,100
Growth (2024-34)
+5.5%
Annual Openings
2,100
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in athletic events or competitive sports, according to established rules and regulations.
2
Attend scheduled practice or training sessions.
3
Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions.
4
Lead teams by serving as captain.
5
Maintain optimum physical fitness levels by training regularly, following nutrition plans, or consulting with health professionals.
6
Maintain equipment used in a particular sport.
7
Represent teams or professional sports clubs, performing such activities as meeting with members of the media, making speeches, or participating in charity events.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
