Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Athletic Trainers:
64.1%
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%).
High
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forAthletic Trainers
$62,520 median salary•2,400 annual openings•SOC Code: 29-9091.00
Athletic Trainers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Athletic training earns a "Mostly Resilient" label because the heart of the job, including hands-on care, building trust with athletes, and making quick judgment calls on the sideline, is genuinely hard for AI to replicate. A lot of the paperwork, scheduling, and data crunching is already being handled by AI tools, so those tasks are shifting rather than disappearing, and ATs who learn to use these tools will actually work faster and smarter.
Learn more about how you can thrive in this position
This role is mostly resilient
Athletic training earns a "Mostly Resilient" label because the heart of the job, including hands-on care, building trust with athletes, and making quick judgment calls on the sideline, is genuinely hard for AI to replicate. A lot of the paperwork, scheduling, and data crunching is already being handled by AI tools, so those tasks are shifting rather than disappearing, and ATs who learn to use these tools will actually work faster and smarter.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Athletic Trainers
Updated Quarterly

How is AI changing Athletic Trainers jobs?
Right now, AI is mostly augmenting athletic trainers (ATs), not replacing them. The National Athletic Trainers' Association is actively rolling out continuing-education courses that teach ATs how to use large language models in clinical practice while staying compliant with HIPAA and FERPA [1], which signals that AI is being treated as a professional tool, not a threat. In practice, ATs are using ChatGPT-style tools to design rehab programs, brainstorm injury-prevention ideas, organize scheduling, and speed up administrative paperwork [2] — exactly the record-keeping and reporting tasks flagged as highly automatable.
On the performance side, colleges like UF are using AI to sift through injury data and build predictive models that flag athletes at higher risk of injury [3], and a 2026 review in Frontiers in AI shows AI-powered wearables now support workload regulation, injury-risk estimation, and return-to-play decisions inside a "human-in-the-loop" framework [4]. Hands-on work — massage, taping, traveling with teams, and going to the ER with injured athletes — remains firmly human.
Sources

How fast is AI adoption growing for Athletic Trainers?
Adoption is moving quickly for documentation and analytics because commercial tools are cheap, widely available, and save real time. But it's moving more slowly at the bedside. State associations warn that AI raises serious ethical questions around patient privacy, algorithm bias, and responsible integration into athlete care [5], and even AT-authored guides caution that models can generate inaccurate information and must be double-checked before being trusted with a diagnosis [2].
The good news for students eyeing this career: the human parts of athletic training — trust, touch, split-second sideline judgment — are the hardest to automate and the most valued.
Sources

Will AI replace Athletic Trainers?
No. We don't think AI will replace Athletic Trainers, though we do expect the job to change.
Athletic Trainers earn a 64.1% AI Resilience Score from us, landing in "Mostly Resilient" territory. That reflects a real but manageable shift. AI is already handling the parts of the job that are easiest to hand off: designing rehab programs, organizing schedules, and cutting through administrative paperwork [2]. Colleges are also using AI to sift through injury data and flag athletes at higher risk before problems develop [3]. These are genuine changes, not distant possibilities.
But the core of athletic training stays human. Hands-on work like taping, massage, and sideline judgment calls cannot be replicated by an algorithm. The National Athletic Trainers' Association is treating AI as a professional tool, rolling out continuing education on how to use it responsibly within clinical practice [1]. Even AI-powered wearables supporting return-to-play decisions are built around a human-in-the-loop model [4], meaning the AT stays in charge.
The economic picture supports this optimism. Adaptive capacity for this role scores high, which tells us ATs who learn to work alongside AI tools will stay competitive and financially secure. The job is evolving, not disappearing.
Sources

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Latest AI news for Athletic Trainers
These articles highlight the transformative potential of AI in athletic training, offering insights that can enhance career prospects for future athletic trainers. For instance, the exploration of AI-driven coaching systems emphasizes the need for trainers to understand ethical considerations like privacy and bias, ensuring responsible integration of technology. Additionally, the focus on personalized training regimens showcases how AI can optimize performance and recovery, equipping trainers with innovative tools to support athletes effectively. Embracing AI resilience in this field can lead to improved outcomes and a competitive edge in athletic training careers.

Synergistic enhancement of athletic performance and psychological resilience through AI-driven personalized exercise regimens network
www.nature.com • 6/14/2026
The reciprocal benefits of physical exercise on physiological performance and mental well-being are well-documented, yet conventional...

Ethical examination of AI coaches: privacy, bias, and responsibility
www.frontiersin.org • 3/5/2026
The integration of artificial intelligence (AI) into sports, particularly through AI-driven coaching systems, marks a transformative advancement with the...

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...

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...

Editorial: Training in sports: the role of artificial intelligence and machine learning
www.frontiersin.org • 3/17/2025
The potential applications of AI in sports are extensive and appear almost boundless, encompassing diverse fields such as training load assessment and...
More Career Info
Career: Athletic Trainers
They help athletes stay healthy by preventing injuries, treating them when they occur, and guiding recovery to keep them performing at their best.
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Employment & Wage Data
Median Wage
$62,520
Jobs (2025)
35,200
Growth (2025-35)
+12.7%
Annual Openings
2,400
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Travel with athletic teams to be available at sporting events.
2
Accompany injured athletes to hospitals.
3
Massage body parts to relieve soreness, strains, or bruises.
4
Apply protective or injury preventive devices, such as tape, bandages, or braces, to body parts, such as ankles, fingers, or wrists.
5
Care for athletic injuries, using physical therapy equipment, techniques, or medication.
6
Lead stretching exercises for team members prior to games or practices.
7
Conduct an initial assessment of an athlete's injury or illness to provide emergency or continued care and to determine whether they should be referred to physicians for definitive diagnosis and treat...
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.
