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Time Machine

Athletic Trainers

Scrub through 155years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
19001925195019752000now
2026
Known today as Athletic Trainers (BLS SOC 29-9091, master's-level entry standard)
Latest actual · 2024
34K
BLS OEWS May 2024 estimate as reported in the Occupational Outlook Handbook and O*NET. Employment has grown roughly 2.6-fold since 2004, driven by expansion beyond collegiate and professional sports into hospital-based sports medicine, K-12 schools, occupational health, performing arts, and military settings. In 2024 educational services accounted for 42.6% of employment and healthcare and social assistance for 42.0%.
Latest actual · 2024
$60,250
BLS OEWS May 2024 median annual wage as reported in the Occupational Outlook Handbook and O*NET. The 2022-2024 period saw above-trend wage growth driven by post-pandemic labor shortages in healthcare and strong demand from high school and clinical settings. The 2024 median represents a 24% nominal increase from 2020 in four years.
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Manual craft methods: liniment, massage, taping, and empirical conditioning

    The first athletic trainers in American universities worked entirely by hand and intuition. James Robinson and his contemporaries applied the toolkit of the Victorian-era physical culturist: rubbing liniment (camphor compounds, wintergreen preparations) into sore muscles, wrapping sprained ankles in strips of linen or early adhesive bandage, monitoring hydration with pre-scientific methods, and designing conditioning programs based on accumulated experience. Anatomy was learned through practice rather than formal coursework. The knowledge base was passed person to person, often from experienced trainers to the former athletes who succeeded them. No formal training standards existed, no certifying examination was available, and the quality of care varied enormously across programs.

    Effect on the work

    Because entry required no formal credential, almost any physically capable former athlete could occupy the role. This kept the field informal and unregulated through the first seven decades of organized collegiate athletics.

    Work toolChanging equipment
  • Standardized taping, modalities (heat/cold/ultrasound), and NATA curriculum

    The NATA's founding in 1950 catalyzed the first systematic effort to define what an athletic trainer should know and be able to do. The NATA Professional Education Committee developed lists of required coursework and skill-competency checklists through the 1950s and 1960s. Physical modalities that had been used ad hoc became formally taught procedures: therapeutic ultrasound (widely available in clinical settings by the 1950s), electrical stimulation, hydrotherapy, and structured cryotherapy protocols. Adhesive athletic tape became a precision skill with documented techniques rather than an improvised wrapping, and NATA published its first uniform taping guidelines. These years also saw the first formal relationships between athletic trainers and team physicians, establishing the physician-referral model that defines the profession's clinical scope to this day.

    Work toolChanging equipment
  • BOC certification examination and formalized education programs

    The BOC examination, launched in 1970, was the single most important technology of the profession's formalization era, though it was a credentialing technology rather than a clinical one. By requiring passage of a standardized written and practical examination for certification, the BOC transformed athletic training from an apprenticeship-dominated craft into a knowledge-tested profession. The examination forced the field to codify its body of knowledge, which in turn drove development of formal college curricula, textbooks, and competency frameworks. The NATA Board of Certification conducted its first formal role delineation study in 1982, producing the first systematic definition of what a certified athletic trainer actually does and knows. Through the 1970s and early 1980s, students could enter through a 600-800 hour formal program or through an apprenticeship route requiring 1,800 hours of supervised practice. The Title IX passage in 1972 created a major employment catalyst: female student-athlete participation grew from under 300,000 in 1971-72 to over 1 million by the mid-1980s, generating corresponding demand for athletic training coverage at colleges and high schools.

    Effect on the work

    BOC certification gave institutions a concrete credential to require when hiring, and state athletic commissions began adopting the ATC credential as the basis for state licensure. By the late 1980s the profession had shifted from informal hiring to credential-based hiring in most collegiate and professional settings.

    Work toolChanging equipment
  • AMA allied health recognition, CAAHEP accreditation, and clinical expansion

    In June 1990 the American Medical Association formally recognized athletic training as an allied health profession, the most important external validation in the profession's history. The recognition enabled formal accreditation of educational programs by the Committee on Allied Health Education and Accreditation (CAHEA) and its successor, CAAHEP. The first CAAHEP-accredited athletic training programs were formally recognized in 1994. This opened doors to hospital-based sports medicine clinics, physician practice settings, and occupational health environments that had previously required different credentials. Clinical settings were now added as required rotations alongside traditional sideline settings. The 1990s also saw the first published clinical research on athletic training interventions, shifting the field's knowledge base from tradition toward evidence. In 2004 the BOC eliminated the apprenticeship route to certification, requiring completion of a CAAHEP-accredited entry-level program for all new candidates, completing the profession's transition from craft to accredited clinical discipline.

    Work toolChanging equipment
  • ImPACT concussion management, GPS wearables, and athlete management systems

    The decade following the NFL's 2010 settlement acknowledgment of concussion-related brain injury transformed how athletic trainers managed head injuries at every level of sport. ImPACT (Immediate Post-Concussion Assessment and Cognitive Testing), developed at the University of Pittsburgh Medical Center, became the standard baseline concussion assessment tool across NFL, NCAA, and high school programs, giving athletic trainers a computer-administered cognitive benchmark to compare against post-injury scores rather than relying solely on symptom self-report. GPS wearables (Catapult Sports launched in 2004, becoming widely used in professional sport by 2010) brought continuous training-load monitoring to athletic training practice, enabling the first data-driven workload management. The electronic athlete management system (AMS) replaced paper injury logs and treatment cards with searchable, shareable clinical records. These tools required athletic trainers to develop digital literacy alongside their clinical skills.

    Effect on the work

    Digital tools expanded the scope of what athletic trainers could monitor and document, but created new expectations: programs that adopted wearables and AMS platforms expected athletic trainers to generate data reports and interpret algorithmic flags, raising the technical bar for new practitioners without reducing the fundamental hands-on workload.

    Work toolChanging equipment
  • AI workload risk scoring, force plate ML, and markerless biomechanics (Catapult Vector 8, Kitman Labs, Sparta Science, Sway Medical)

    By 2020 the leading athletic management platforms had incorporated machine learning into their core value proposition. Kitman Labs Risk Advisor uses ML trained on each organization's own injury and workload data to generate daily per-athlete injury risk scores with transparent contributing factors. Sparta Science applies an ML model trained on over 2 million force plate scans to predict ACL and lower extremity injury likelihood from a single 3-second jump test. Sway Medical received FDA 510(k) clearance as the first mobile concussion assessment device, enabling objective sideline balance and cognitive testing in under 5 minutes. KinaTrax markerless motion capture deployed in 75-plus MLB stadiums captures in-game pitching kinematics at 300 to 600 frames per second, giving athletic trainers objective biomechanical data that was previously accessible only in a lab. These tools represent a qualitative shift: athletic trainers can now access AI-generated risk scores and objective biomechanical benchmarks that were unavailable to the entire profession a decade earlier. The tools augment clinical judgment and expand roster management capacity rather than threatening the licensed human presence that defines the role.

    Effect on the work

    Programs using advanced AI monitoring can manage larger rosters with the same athletic training staff by surfacing high-risk athletes algorithmically rather than through pure observation. This is a productivity amplifier, not a headcount reducer, because the hands-on clinical tasks (taping, rehabilitation, sideline care) have no AI equivalent. BLS projects 11% growth 2024-2034, consistent with augmentation rather than displacement.

    Work toolChanging equipment
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
NATA workforce analysis — state of employment 2023
2033
+17%
NATA's internal workforce projection, as reported in their 2023 employment state analysis, projects approximately 17% job growth over the following 10 years, slightly more optimistic than the contemporaneous BLS cycle. NATA's projection weights the ongoing expansion into occupational health and industrial athlete settings more heavily than the BLS matrix model, and incorporates enrollment growth data showing a 9.2% increase in students admitted to accredited athletic training programs in 2021-22 and approximately 18% more graduates compared to 2017-18. The NATA figure and the BLS figure bracket the likely range; both are unambiguously growth scenarios.
BLS National Employment Matrix 2024-34
2034
+11.1%
BLS Employment Projections industry-occupation matrix (2024-34 cycle). Athletic trainers are projected to grow 11.1%, from 33,900 (2024) to approximately 37,600 (2034), an addition of roughly 3,800 positions. This is classified as "much faster than average" against an all-occupations benchmark of 3%. The BLS methodology cites continued expansion of sports medicine services into K-12 schools, occupational health, performing arts, and military settings as the primary growth drivers, offset by budget constraints in some educational institutions. The projection does not explicitly model AI augmentation tools, whose adoption could raise per-AT roster coverage and modestly reduce headcount growth at the margin.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Eloundou et al. — "GPTs are GPTs" (2023/2024)
2028
20%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for athletic trainers. Athletic trainers score in the low-to-medium range for LLM exposure because their dominant work tasks require physical presence: acute sideline injury triage, hands-on manual therapy, preventive taping, and real-time athlete observation are not addressable by language models. The roughly 20% task exposure estimate captures the administrative and analytical slice of the role (injury documentation, treatment planning, workload data review) that AI tools are already augmenting via AMS platforms and AI-generated risk summaries. This is an augmentation exposure, not a displacement exposure: the tasks being augmented are administrative and documentation-heavy, not the licensed clinical core.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereReview daily AI-generated athlete readiness and soft-tissue injury-risk flags from the athlete management system (Catapult Vector 8 or Kitman Labs Risk Advisor) — cross-checking GPS workload accumulation, wellness survey inputs, and historical injury data against each athlete's individual risk score, then adjusting practice participation or modifying individual training loads before the session begins.

Review daily AI-generated athlete readiness and soft-tissue injury-risk flags from the athlete management system (Catapult Vector 8 or Kitman Labs Risk Advisor) — cross-checking GPS workload accumulation, wellness survey inputs, and historical injury data against each athlete's individual risk score, then adjusting practice participation or modifying individual training loads before the session begins.[13],[4]

Where your edge is

AI workload monitoring now surfaces injury risk signals you previously had to calculate manually from spreadsheets — your value shifts to clinical interpretation and intervention: knowing when the algorithm is over-weighting a variable, when a wellness score is underreported because an athlete doesn't want to sit out, and how to communicate load modifications to coaches without triggering conflict. Develop fluency with your platform's model transparency features so you can explain risk rationale to coaches in language they trust.

AI is sitting alongside you hereMaintain athlete health records and generate AI-assisted injury documentation — entering injury notes, treatment logs, and rehabilitation progress into the athlete management system (Kitman Labs, CoachMePlus, or Smartabase), reviewing AI-compiled progress summaries for accuracy, and preparing structured return-to-play reports for physicians and coaching staff with objective outcome data from force plate and concussion assessments.

Maintain athlete health records and generate AI-assisted injury documentation — entering injury notes, treatment logs, and rehabilitation progress into the athlete management system (Kitman Labs, CoachMePlus, or Smartabase), reviewing AI-compiled progress summaries for accuracy, and preparing structured return-to-play reports for physicians and coaching staff with objective outcome data from force plate and concussion assessments.[1],[14]

Where your edge is

Documentation is the most AI-augmentable task in athletic training — AMS platforms are increasingly auto-populating treatment logs from structured inputs and generating progress summaries. Your value in documentation shifts to clinical accuracy: reviewing AI-generated summaries to ensure they capture nuance that matters for insurance, return-to-play clearance, and liability purposes. Build habits around using structured data templates consistently so the AI output quality stays high.

AI is sitting alongside you hereReview AI-generated in-game biomechanics data from markerless motion capture systems (KinaTrax for baseball/softball pitchers

Review AI-generated in-game biomechanics data from markerless motion capture systems (KinaTrax for baseball/softball pitchers; KINEXON LPS for court and field sports) — identifying mechanical fatigue markers, pitch-count efficiency trends, and movement asymmetries that precede soft-tissue injury, then communicating findings to coaches and sharing recommendations for workload modifications or corrective mechanics work.[8],[9],[10]

Where your edge is

Markerless AI biomechanics have moved from research-only to in-game at 75+ MLB stadiums and expanding into other sports — athletic trainers at programs using these systems are now expected to interpret kinematic reports and translate them into clinical action. Build your biomechanics literacy alongside your existing clinical knowledge: understanding what "increased elbow valgus torque in innings 5-7" means for UCL health is the new currency in baseball sports medicine.

Where this role is heading

Natural next steps for someone with your foundation: not exits, evolutions.

A direction you could grow

Medical and Health Services Managers

Experienced athletic trainers who develop program management skills — running an athletic training department, managing student staff, budgeting for equipment and supplies, coordinating physician coverage, and implementing data-driven injury prevention programs using AI tools — are naturally positioned for Director of Sports Medicine, Head of Human Performance, or athletic department administration roles. As sports organizations invest in AI platforms (Catapult, Kitman Labs, Sparta Science), they need managers who understand both the clinical domain and the technology. Medical and Health Services Managers earn a median $110,680 (BLS 2024) and BLS projects +29% growth 2024-2034. An MBA in Sport Management or Healthcare Administration accelerates the transition.

What you'd add
  • · Healthcare/sport management graduate credential: MBA (Sport or Healthcare Management), MS Sport Administration, or MHA
  • · Budget management: operating and capital budget ownership, equipment procurement, vendor contract negotiation
  • · AI platform governance: evaluating, implementing, and auditing athletic technology platforms (AMS, wearables, force plates)
  • · Staff management: hiring, supervising, and developing athletic training and sports medicine staff; student AT program oversight
  • · Compliance and risk management: Title IX, NCAA/state high school federation regulations, HIPAA for student-athlete health records
What it takesSome new skills to pick up
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The data behind this timeline

On record since1881
Latest tracked employment33,900 (US, 2024)
Latest median pay$60,250 (2024)
Outlook+17% by 2033 (NATA workforce analysis — state of employment 2023)
View all 24 cited data points
YearUS employmentMedian annual paySource
19502,000n/aESTIMATE
199014,000n/aESTIMATE
200311,750$32,850BLS-OEWS
200413,100$34,260BLS-OEWS
200515,110$34,260BLS-OEWS
200615,440$36,560BLS-OEWS
200714,970$38,360BLS-OEWS
200815,070$39,640BLS-OEWS
200915,260$41,340BLS-OEWS
201016,290$41,600BLS-OEWS
201118,240$42,400BLS-OEWS
201220,780$42,090BLS-OEWS
201322,340$42,790BLS-OEWS
201422,400$43,370BLS-OEWS
201523,450$44,670BLS-OEWS
201624,130$45,630BLS-OEWS
201725,010$46,630BLS-OEWS
201826,890$47,510BLS-OEWS
201928,600$48,440BLS-OEWS
202027,430$48,440BLS-OEWS
202126,070$48,420BLS-OEWS
202229,720$53,840BLS-OEWS
202328,480$57,930BLS-OEWS
202433,900$60,250BLS-OEWS
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