SAFE
The job is hands-on: taping and bracing, palpating a swollen knee on a sideline, running special tests, spine-boarding a downed athlete, and guiding rehab progressions with physical cueing — none of which a model or current robot performs. AI will absorb the paperwork tier (SOAP notes, injury surveillance reports, exercise program templates, insurance documentation) and can assist with return-to-play protocol lookup, but the return-to-play call itself is a liability-bearing judgment made under time pressure with an incomplete picture. Most states require licensure or registration plus BOC certification, and the athlete-trainer relationship — being the person who knows this specific body's history — is a real part of the product.
Dipped in 2020, then grew past where it started.
Median pay $48,440 → $62,520 +3.3% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+11.1% 33,900 → 37,600 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +11.1% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~2,400 openings a year on average, including replacing people who leave.
Sports TrainerAthletic TrainerPersonal TrainerPhysical TrainerAthletic LecturerFitness SpecialistAthletic InstructorSports Athletic TrainerSports Medicine TrainerWomen's Athletic TrainerClinical Athletic TrainerLicensed Athletic TrainerOutreach Athletic TrainerResident Athletic TrainerCertified Athletic TrainerClinical Athletic InstructorOn-Site Industrial Athletic Trainer
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Ankle taping before every practice, manual muscle testing, on-field concussion screening with SCAT5 while a coach waits, and hands-on mobilization during rehab are the bulk of the day; the 5 points that come off reflect the genuinely automatable slice — documentation, coverage scheduling, injury-surveillance data entry, and template exercise prescriptions.
Hands-on in uncontrolled environments You work on turf in August heat, on a wrestling mat, in a pool, and at the bottom of a pile after a collision — carrying a vacuum splint to an athlete in an unpredictable posture and controlling a cervical spine during a log-roll is uncontrolled-environment physical work, held just below 20 because a share of hours are spent in a fixed treatment room with modalities and charting.
Licensed human required and personally liable BOC certification plus state licensure or registration in nearly every state, practice under a physician-directed athletic training plan, and personal exposure when a return-to-play decision precedes a second injury puts this solidly in licensed territory; it sits at 13 rather than 18 because the supervising physician's standing orders and the state athletic-training practice act bound your scope, so the ultimate medical liability is shared rather than yours alone.
Exists to be accountable for ambiguous calls You decide whether a lineman with a normal SCAT5 but a vacant look goes back in, whether calf pain is DOMS or a DVT worth an ER referral, and whether a pitcher's shoulder can take one more inning — real ambiguity under a scoreboard clock, with the ceiling set by protocol-driven pieces like concussion return-to-learn steps and physician clearance requirements that constrain the final call.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (15/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (13/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (14/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 42 of this occupation's 75 points (56%).
Embodiment (18/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 88/100, still SAFE.
State legislatures adopting concussion/return-to-play statutes that name the licensed athletic trainer (not just a physician) as an authorized clearance signer with personal accountability — several state 'Lystedt law' amendments and NATA-backed practice-act updates already move this way; plus state boards adding rules that AI-generated rehab progressions or RTP recommendations require a licensed AT's countersignature in the medical record
Emergency Action Plan rules and NCAA/state-association policy giving the on-site AT unchallengeable authority over removal-from-play — 'unchallengeable medical authority' language already in NCAA and some state athletic-association bylaws — so the ambiguous sideline call is formally owned by the AT rather than a coach or physician by phone
As documentation, injury-surveillance reporting and template program-writing get absorbed by AI scribes, the residual day concentrates into palpation, manual therapy, emergency response and clearance judgment — the two tiers here are genuinely separable and the routine tier is the one being automated
Mandated AT staffing ratios for secondary-school athletics (bills filed in several states after cardiac-arrest and heat-stroke deaths), converting the role from discretionary hire to legally required presence at practices and games
Collective bargaining and league policy specifying named, human athletic-training staff (NFLPA/NBA player-health provisions, D-I athlete demands for consistent staff) plus parent expectation of an on-site person at youth sport — buyers paying specifically for a human who knows this body's history
The limit. Already near the practical ceiling; embodiment at 18 and task_resistance at 15 leave little headroom, and the biggest realistic gains are institutional (statutory clearance authority, mandated staffing) rather than capability-based. Counter-pressure: budget-driven substitution of ATs by lower-cost aides plus tele-supervision would erode the trust premium even as the legal shield strengthens.
| New York-Newark-Jersey City, NY-NJ | 1,330 | $76,500 +22% |
| Dallas-Fort Worth-Arlington, TX | 790 | $62,520 +0% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 770 | $63,840 +2% |
| Austin-Round Rock-San Marcos, TX | 650 | $64,150 +3% |
| Chicago-Naperville-Elgin, IL-IN | 650 | $65,780 +5% |
| Los Angeles-Long Beach-Anaheim, CA | 560 | $76,890 +23% |
| Boston-Cambridge-Newton, MA-NH | 490 | $71,880 +15% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 490 | $63,560 +2% |
| San Jose-Sunnyvale-Santa Clara, CA | 120 | $89,630 +43% |
| McAllen-Edinburg-Mission, TX | 90 | $82,480 +32% |
| Riverside-San Bernardino-Ontario, CA | 240 | $79,950 +28% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 75. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.