Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Athletes/Sport Competitors:
41.4%
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
$62,360 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 5 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.
Read full analysisAnalysis of Current AI Resilience
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.
Athletes and Sports Competitors earn a 41.4% AI Resilience Score, which puts them in a real but manageable zone of change. The tasks shifting to AI are mostly behind the scenes: teams are using it to assess fitness, predict injuries, and review game film [1], while leagues like the NBA are turning billions of tracking data points into coaching insights [3]. Two-thirds of gymgoers were already using AI fitness software in 2025 [5]. That is a lot of workflow changing fast.
But the actual competing stays human. Running, jumping, performing under pressure, connecting with fans, leading teammates through a tough game: none of that transfers to a machine. Generative AI is even helping athletes build personal brands and reach fans directly [6], which expands opportunity rather than shrinking it. The biggest risk is not replacement but bias, since algorithms can quietly disadvantage unconventional athletes in scouting and valuation models [7].
The economic picture is modest, not booming, so this is not a career to enter purely for financial security. But if you love competing and are willing to treat AI as a training partner rather than a threat, there is still a real future here.
Sources
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Latest AI news for Athletes/Sport Competitors
These articles highlight how AI is transforming the athletic landscape, providing athletes with tools to enhance performance and training. For instance, the digital twin approach in Taekwondo combines nutrition and psychological readiness, offering tailored strategies for athletes. Additionally, deep reinforcement learning can optimize training loads, ensuring that athletes train effectively without overexertion. Engaging with these advancements can empower aspiring competitors to leverage technology for improved performance, fostering resilience in a rapidly evolving sports environment.
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,...
Deep reinforcement learning-driven personalized training load control algorithm for competitive sports performance optimization
www.nature.com • 12/1/2025
Traditional training load management methods in competitive sports rely heavily on subjective assessments and standardized protocols,...
Research on the sports training effect based on GABP neural network and artificial intelligence
www.nature.com • 11/10/2025
With the increasing need for precision and personalization in athletic training, artificial intelligence (AI) offers powerful tools for...
The factors affecting aerobics athletes’ performance using artificial intelligence neural networks with sports nutrition assistance
www.nature.com • 11/28/2024
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial...
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
$62,360
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.
