As of August 2026, Sports Medicine Physicians has an AI-exposure score of 43/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Sports Medicine Physicians

43/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 13% of the roles we track. Median pay ~US$265,930. About 9,600 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Sports Medicine Physicians?

No exposure score can predict whether AI will replace this role. The 43/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Diagnose, treat, and help prevent injuries that occur during sporting events, athletic training, and physical activities.

Common titles
Athletic Team PhysicianPhysicianSports Medicine PhysicianTeam PhysicianNonsurgical Primary Care Sports Medicine PhysicianOrthopedic Team Physician
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionCritical ThinkingJudgment and Decision MakingMonitoringSpeakingActive Learning
Work context
Decision latitudeFrequent contact with othersIndoor controlled settingConsequence of errorRepeating tasks

Source: O*NET 29.1 exact occupation - Sports Medicine Physicians, SOC 29-1229.06. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Sports Medicine Physicians tasks, by AI exposure

Automatable
  • Record athletes' medical care information, and maintain medical records.
Augmentable
  • Record athletes' medical histories, and perform physical examinations.
  • Inform coaches, trainers, or other interested parties regarding the medical conditions of athletes.
5 more augmentable tasks locked in the report.
Durable
  • Examine and evaluate athletes prior to participation in sports activities to determine level of physical fitness or predisposition to injuries.
  • Diagnose or treat disorders of the musculoskeletal system.
10 more durable tasks locked in the report.

We analyzed all 20 Sports Medicine Physicians tasks - 1 automatable, 7 augmentable and 12 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Emergency Medicine Physicians
64% skills overlap; 4 points higher - similar exposure within the 5-point model resolution; Moderate band; ~US$335,550
View path
47
6 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Record athletes' medical care information, and maintain medical records.

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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Sports Medicine Physicians - median pay by US state (BLS OEWS, USD)

California: US$281,590Texas: US$269,800Florida: US$262,180New York: US$242,500

Median annual wage, in USD. US national: US$265,930. More states are being added.

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