← Risk register SOC 29-1128 · reviewed 2026-08-11

Exercise Physiologists

8,560 US workers · median $59,460/yr · Healthcare

EXPOSED

The paperwork half of this job — writing exercise prescriptions from test data, interpreting VO2/ECG output, charting progress, generating patient education handouts — is exactly the kind of protocol-driven text and pattern work AI already does at usable quality, and consumer wearables plus app-based coaching are eating the low-acuity end of the market. What holds is the clinical floor: physically spotting a cardiac rehab patient on a treadmill, reading their color and gait, catching arrhythmia or angina mid-test and calling the stop. Only a handful of states license exercise physiologists, so the regulatory shield is thin — ACSM/CEP certification is employer-demanded, not law — which is the main reason this scores below nursing.

10-year outlook: Clinical hospital-based cardiac and pulmonary rehab roles hold steady or grow with an aging population, while general fitness-assessment and wellness-coaching work gets absorbed by apps, wearables, and cheaper personal trainers.

US employment, 2019–2025+17.6%
7,2808,560 workers

Dipped in 2020, then grew past where it started.

Median pay $49,170 → $59,460 -3.3% in real terms (nominal +20.9%, less ~25% US inflation over the period)

The job count is not the verdict

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

+9.5%

Percentage only. The projection counts a different population from the 8,560 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Growing, and only partly exposed

The BLS expects +9.5% more of these jobs by 2034, and at 63/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

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.

~1,700 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 18 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

Exercise PlannerKinesiotherapistExercise ScientistFitness SpecialistExercise SpecialistSports PhysiologistExercise PhysiologistCardiac Exercise SpecialistClinical Exercise SpecialistInjury Prevention SpecialistApplied Exercise PhysiologistCardiac Exercise PhysiologistClinical Exercise PhysiologistBariatric Weight Loss CounselorCertified Exercise Physiologist (EPC)Registered Clinical Exercise PhysiologistLifestyle and Weight Management ConsultantCardiac Rehabilitation Exercise Physiologist

Score — 63/100 resistance

Holding it up: embodiment (16/20). Weakest point: liability shield (7/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 13 + 16 + 7 + 15 + 12 = 63. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 13/20

Mixed — a routine tier and a judgment tier Graded exercise testing, cuff pressures, 12-lead hookup and mid-session gait/effort reads still require a human at the treadmill, but the prescription-writing, submaximal test scoring, progress notes and pre-participation risk stratification that fill the other half of your week are template-driven enough that software already does them, which is why this sits at 13 and not 17.

Embodiment 16/20

Hands-on in uncontrolled environments You are physically hands-on with a deconditioned post-MI patient in a rehab gym — placing electrodes on moving skin, supporting a body weight mid-stumble, adjusting a treadmill while watching a monitor — and the environment is a busy hospital floor rather than a controlled lab, though it's not a field or a home, which keeps it at 16 rather than 19.

Liability shield 7/20

Certification preferred, not legally required Only a small number of states (Louisiana, Maryland) license exercise physiologists at all; ACSM-CEP or ACSM-EP is what a cardiac rehab hiring manager requires, not what a statute requires, and the physician who signed the exercise order carries the medical liability for what happens on your treadmill — 7 reflects that credentialing is real and near-universal in practice but legally empty.

Trust premium 15/20

The human relationship is the product Cardiac and pulmonary rehab runs 36 sessions over three months with the same patient, and adherence — the actual outcome you're paid for — depends on them showing up for you specifically after a frightening diagnosis, which is a relationship product; it lands at 15 rather than 18 because you are one node in a physician-supervised program, not the patient's chosen provider.

Judgment & accountability 12/20

Meaningful discretion You decide in real time whether ST changes, a blunted pressure response or reported chest tightness means modify, stop, or call the code — genuine unscripted calls — but ACSM guidelines and physician-signed protocols specify most termination criteria and target ranges in advance, so 12 rather than 16.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, trust, physical-presence

How to future-proof this job

Training paths for your skill gaps: Coursera — work planning and personal productivity free to audit · MIT OpenCourseWare — finance and accounting free · MIT OpenCourseWare — operations management free · edX — operations management and process monitoring courses free to audit · Coursera — quality control and inspection courses, auditable free free to audit · MIT OpenCourseWare — full course materials across every department, free free · Learning How to Learn — the most-taken course on Coursera, and free free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Physical Therapists SAFE · 86/100 · you already have ~87% of the skill profile

Skills to close: Time Management, Management of Financial Resources, Operations Analysis

Athletic Trainers SAFE · 75/100 · you already have ~84% of the skill profile

Skills to close: Operations Monitoring, Quality Control Analysis, Active Learning

Speech-Language Pathologists SAFE · 83/100 · you already have ~83% of the skill profile

Skills to close: Learning Strategies, Operations Analysis, Active Learning

What would move this back up — beyond any one person

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 80/100 — SAFE.

5 specific changes that would raise this score
  • already happening judgment accountability +3

    If AI generates the prescription and a human must adjudicate it, the CEP role becomes exception-handling: overriding algorithmic intensity targets for patients with atrial fibrillation, ICDs, beta-blocker-blunted heart rates, chemotherapy cardiotoxicity, or post-COVID dysautonomia where standard %HRmax formulas fail. This tier already exists and grows as the routine tier automates.

  • already happening task resistance +3

    Task-mix shift as protocol prescription writing and VO2/ECG report generation are automated: the residual day is graded exercise test termination calls, symptom-limited assessment of patients whose presentation contradicts the telemetry, and adjudicating conflicting wearable data. Genuine two-tier structure here.

  • plausible liability shield +5

    State licensure expansion: currently only Louisiana and Maryland license exercise physiologists (Louisiana's Board of Clinical Exercise Physiologists, Maryland Board of Physicians). If additional states — bills have been floated in Georgia, Texas, and Ohio via ASEP/CEPA lobbying — enact practice acts making a licensed CEP the required signer of a clinical exercise prescription and the responsible party for stop-test decisions, the shield moves from employer credentialing to statute.

  • plausible liability shield +4

    CMS conditions of participation for cardiac and pulmonary rehab (42 CFR 410.49) currently require physician supervision and 'personnel trained in exercise physiology' but do not name a licensed CEP. If CMS revises the staffing standard to specify an ACSM-CEP or state-licensed exercise physiologist as the billing-eligible supervising clinician — the direction ACSM has petitioned for, alongside the Sustainable Cardiopulmonary Rehabilitation Services Act's supervision provisions — reimbursement becomes tied to a named human credential.

  • plausible trust premium +2

    Narrow route only: hospital cardiac rehab is paid by insurers, not patients, so no consumer premium accrues there. The premium exists in oncology exercise, post-transplant, and medically complex populations where patients or referring cardiologists specifically want a supervised human program rather than an app — visible in the growth of hospital-affiliated cancer exercise programs. This is a small slice and unlikely to lift the whole occupation.

The limit. Embodiment is already near its realistic ceiling at 16 and is the load-bearing score; nothing raises it further. The occupation is small (8,560 workers) and lacks a large single professional body with lobbying weight comparable to nursing or PT, which caps how fast licensure can spread — and PT and nursing boards have historically opposed CEP scope bills as encroachment, which is the main brake on the liability lever.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 48 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 370 $49,260 -17%
New York-Newark-Jersey City, NY-NJ 330 $61,380 +3%
Denver-Aurora-Centennial, CO 260 $72,760 +22%
Chicago-Naperville-Elgin, IL-IN 220 $63,570 +7%
Detroit-Warren-Dearborn, MI 220 $55,700 -6%
Minneapolis-St. Paul-Bloomington, MN-WI 180 $68,560 +15%
Phoenix-Mesa-Chandler, AZ 180 $66,210 +11%
Indianapolis-Carmel-Greenwood, IN 160 $48,220 -19%

Best paid

Seattle-Tacoma-Bellevue, WA 100 $84,300 +42%
Portland-Vancouver-Hillsboro, OR-WA 50 $74,380 +25%
Denver-Aurora-Centennial, CO 260 $72,760 +22%

Percentages are against this occupation's national median of $59,460. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

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 63. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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