Resilient

Last Update: 6/19/2026

AI Resilience Score for Athletic Trainers:

67.8%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient athletic training is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For athletic trainers, all seven sources had data and agreed closely: Anthropic, Microsoft, and Will Robots Take My Job all rated AI exposure as low, with our AI Resilience Model at medium, so confidence is high. Strong pay and mobility signals from Wage Bill and Adaptive Capacity pushed the score up, landing athletic trainers at "Resilient."

AI Resilience Report forAthletic Trainers

$60,250 median salary2,400 annual openingsSOC Code: 29-9091.00

Athletic Trainers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Athletic training is labeled "Resilient" because the heart of the job, hands-on care like taping injuries, guiding rehab exercises, and making real-time decisions on the sideline, requires human judgment, physical touch, and genuine connection with athletes that AI simply cannot replicate. Yes, AI is taking over some of the more repetitive tasks like filing insurance claims and spotting injury patterns in data, but those were never the most valuable parts of the role anyway.

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This role is resilient

Athletic training is labeled "Resilient" because the heart of the job, hands-on care like taping injuries, guiding rehab exercises, and making real-time decisions on the sideline, requires human judgment, physical touch, and genuine connection with athletes that AI simply cannot replicate. Yes, AI is taking over some of the more repetitive tasks like filing insurance claims and spotting injury patterns in data, but those were never the most valuable parts of the role anyway.

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Analysis of Current AI Resilience

Athletic Trainers

Updated Quarterly

Analysis
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State of Automation

How is AI changing Athletic Trainers jobs?

Right now, AI is more often augmenting athletic trainers than replacing them. The biggest gains are showing up in the paperwork-heavy parts of the job. According to a recent National Association of Insurance Commissioners survey of 93 insurance companies in 16 states, 84% of responding insurers across health care insurance product lines use AI or machine learning to speed up claims review, which directly touches the insurance-filing task that O*NET flags as 72% automatable (KFF [1]).

On the clinical side, the National Athletic Trainers' Association now offers continuing-education programming on "Artificial Intelligence in Athletic Training" [2] as part of its 2025 essential curriculum, signaling that the profession is actively learning the tools rather than ignoring them. AI is also showing up in injury prevention and rehab: UC San Diego researchers built a generative-AI model called BIGE that generates the best motions athletes can execute during exercise to avoid injury and improve performance, or the best motions for athletes that need rehabilitation after an injury. Sports-medicine physicians describe similar uses in their own practices, noting that AI can analyze data from wearable devices, motion capture systems, and historical injury records to identify risk factors for injuries.

The hands-on tasks — massage, escorting injured athletes to hospitals, leading warm-ups — remain firmly human.

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AI Adoption

How fast is AI adoption growing for Athletic Trainers?

Adoption is moving quickly on the administrative side because the tools are commercially available, cheap, and tied to insurer cost savings. Technology companies are vying for insurers and TPAs to adopt their AI-related products with the promise of faster, more accurate claims review, which pulls trainers into AI-mediated workflows whether they want it or not. Clinical adoption, however, is slower.

Sports-medicine leaders warn that the deployment of generative AI in clinical settings must be approached with caution, with issues related to data privacy, ethical considerations, and the necessity for rigorous validation protocols. There's also a real labor-market push: the average annual salary for a university athletic trainer is $58,820, nearly $38,000 less than an occupational therapist, and burnout is driving many trainers out of school settings — which makes administrators eager for AI tools that reduce documentation load rather than cut headcount. Finally, leaders in college sports are being told to treat AI as a strategic capability, not a gadget, and to preserve the human core of athlete care.

The takeaway for students considering this career: AI will likely handle more of the typing, billing, and pattern-spotting, while your hands, eyes, and judgment courtside become more valuable, not less.

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Will AI replace Athletic Trainers?

Will AI replace Athletic Trainers?

No. We don't think AI will replace Athletic Trainers, but the job will keep shifting as AI takes over more of the administrative grind.

Our scorecard gives this career a 67.8% AI Resilience Score, which puts it in stronger shape than most occupations. The reason is straightforward: the core of the job is physical, relational, and real-time. Taping an ankle, reading an athlete's pain response, making a split-second call on the sideline, none of that can be handed off to a model. The hands-on tasks stay human.

Where AI is already moving in is on the paperwork side. A large share of health insurers now use AI or machine learning to speed up claims review [1], which pulls trainers into AI-mediated billing workflows. That part of the job will keep automating. On the clinical side, the National Athletic Trainers' Association has added continuing education on AI tools to its 2025 curriculum [2], which tells you the profession is adapting rather than waiting to be disrupted.

The honest picture for students: AI will likely handle more of the documentation and pattern-spotting, while your judgment, your hands, and your presence with athletes become more valuable. That is a trade most trainers will take.

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Latest AI news for Athletic Trainers

These articles highlight the evolving role of AI in athletic training, presenting both opportunities and challenges. For instance, the ethical examination of AI coaches emphasizes the importance of privacy and bias, crucial considerations for trainers relying on technology. Additionally, the article on Northeast Ohio teams illustrates how AI is enhancing performance analytics, allowing trainers to make data-driven decisions. Embracing AI can help future athletic trainers stay relevant and innovative, fostering resilience in a rapidly changing field where technology complements, rather than replaces, human expertise.

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.

Employment & Wage Data

Median Wage

$60,250

Jobs (2024)

33,900

Growth (2024-34)

+11.1%

Annual Openings

2,400

Education

Master's degree

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

98% ResilienceCore Task

Perform general administrative tasks, such as keeping records or writing reports.

2

97% ResilienceCore Task

Accompany injured athletes to hospitals.

3

97% ResilienceSupplemental

Perform team support duties, such as running errands, maintaining equipment, or stocking supplies.

4

96% ResilienceCore Task

Travel with athletic teams to be available at sporting events.

5

96% ResilienceCore Task

Massage body parts to relieve soreness, strains, or bruises.

6

95% ResilienceCore Task

Care for athletic injuries, using physical therapy equipment, techniques, or medication.

7

94% ResilienceCore Task

Apply protective or injury preventive devices, such as tape, bandages, or braces, to body parts, such as ankles, fingers, or wrists.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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