SAFE
The core of the job is hands-on: palpating tissue, guiding a post-surgical knee through range of motion, spotting a stroke patient's gait deviation in real time, and adjusting load mid-session based on how the body responds. AI can draft the SOAP note, pick exercise templates, flag insurance-authorization language, and triage outcome data — all real time savings, none of it the treatment. State licensure plus personal accountability for patient safety during mobilization means a licensed human signs the plan of care and takes the fall if a patient falls.
Dipped in 2020, then grew past where it started.
Median pay $89,440 → $102,760 -8.1% 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
+10.9% 267,200 → 296,400 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +10.9% 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.
~13,200 openings a year on average, including replacing people who leave.
TherapistPhysiotherapistKinesiotherapistSchool Physical TherapistDoctor of Physical Therapy (DPT)LPT (Licensed Physical Therapist)Acute Physical Therapist (Acute PT)Registered Physical Therapist (RPT)Sports Physical Therapist (Sports PT)Travel Physical Therapist (Travel PT)Geriatric Physical Therapist (Geriatric PT)Home Care Physical Therapist (Home Care PT)Inpatient Physical Therapist (Inpatient PT)Pediatric Physical Therapist (Pediatric PT)Pulmonary Physical Therapist (Pulmonary PT)Acute Care PT (Acute Care Physical Therapist)Orthopedic Physical Therapist (Orthopedic PT)Outpatient Physical Therapist (Outpatient PT)Home Health Physical Therapist (Home Health PT)Skilled Nursing Facility Physical Therapist (SNF PT)Cardiopulmonary Physical Therapist (Cardiopulmonary PT)Outpatient Travel Physical Therapist (Outpatient Travel PT)Outpatient Orthopedics Physical Therapist (Outpatient Ortho PT)
Holding it up: embodiment . Weakest point: task resistance .
Tasks largely resist digitisation Manual therapy, joint mobilization, and gait retraining can't be delegated to software — the parts that can (documentation, HEP handouts, initial outcome-measure scoring, prior-auth letters) are maybe a fifth of the workday, which is why this sits at 15 rather than 18: the eval interview, goal-setting, and progress-note reasoning are increasingly template-and-LLM assisted even though the treatment itself isn't.
Hands-on in uncontrolled environments You are physically under a 200-pound patient during a sit-to-stand transfer, feeling for end-feel at a stiff shoulder capsule, and catching someone whose knee buckles on a ramp — 19 rather than 20 only because a slice of practice (telehealth follow-ups, wound-care consult review, some pediatric parent coaching) happens without your hands on anyone.
Licensed human required and personally liable Every state licenses PTs under a practice act, you carry your own NPI and malpractice policy, and in direct-access states there is no physician co-signature between you and a missed red flag — the plan of care has your license number on it, which is why this is 17 and not the 12 of a role where a supervising MD absorbs the exposure.
Exists to be accountable for ambiguous calls You decide when a post-op knee is ready to progress load, when a new-onset unilateral calf pain means stop and send to the ED for DVT, and when to discharge against a payer's remaining visits — those are consequential calls made in the room with incomplete information, which is 18 rather than 14 because a wrong one causes immediate physical harm.
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 (17/20) is whether the law requires a licensed human to sign. Trust premium (17/20) is whether buyers specifically pay for a person. Judgment and accountability (18/20) 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 52 of this occupation's 86 points (60%).
Embodiment (19/20) 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 93/100, still SAFE.
Documentation, prior-auth narrative, HEP handout generation and outcome-measure scoring are the routine tier and are being absorbed first (Netsmart/WebPT ambient scribe products). If that tier is stripped out, the residual day is palpation, manual therapy, real-time load titration and gait retraining — the part with no software substitute. Score rises because the denominator shrinks, not because AI got worse.
Growth of cash-pay/out-of-network manual therapy and performance clinics where the buyer is explicitly paying for one-on-one hands-on time with a named clinician rather than insurance-reimbursed group treatment — visible in the cash-based PT segment and in the backlash against high-volume 3-patients-per-hour clinics. Also observable if payers begin covering app-delivered exercise (Hinge Health, Sword) as the default and hands-on care becomes the premium tier patients top up for.
If direct-access referral authority keeps expanding (all 50 states now have some form; the fight is over imaging referral and unrestricted evaluation), the PT becomes the first-contact differential diagnostician who must rule out red flags — cauda equina, DVT, fracture, cardiac referral pain — without a physician gate. That shifts consequential ambiguity onto the PT rather than the referring MD.
Medicare's therapy supervision rules tightening rather than loosening — e.g. CMS reversing the 2022 PTA general-supervision allowance or the de minimis modifier policy, so that billable therapy minutes require direct on-site licensed PT presence rather than assistant delivery with remote oversight. Equally, state practice acts adding explicit language that AI-generated exercise prescriptions or telehealth home-program plans require a named licensed PT of record who retains personal liability for adverse events (falls, post-op dehiscence).
The limit. At 86 the headroom is arithmetic more than substantive — embodiment at 19 and judgment at 18 are effectively maxed. The realistic risk here is not displacement of the licensed PT but volume compression: digital MSK programs substituting for the low-acuity caseload that currently supports clinic economics, shrinking the number of PT jobs while leaving each remaining job more resistant. A rising resistance score and a falling headcount are compatible.
| New York-Newark-Jersey City, NY-NJ | 21,240 | $107,650 +5% |
| Los Angeles-Long Beach-Anaheim, CA | 9,750 | $108,170 +5% |
| Chicago-Naperville-Elgin, IL-IN | 7,880 | $105,720 +3% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 6,250 | $105,790 +3% |
| Dallas-Fort Worth-Arlington, TX | 6,100 | $107,780 +5% |
| Boston-Cambridge-Newton, MA-NH | 5,330 | $103,550 +1% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 4,950 | $100,870 -2% |
| Houston-Pasadena-The Woodlands, TX | 4,680 | $107,700 +5% |
| San Francisco-Oakland-Fremont, CA | 3,140 | $141,980 +38% |
| Vallejo, CA | 300 | $141,530 +38% |
| Santa Rosa-Petaluma, CA | 290 | $140,100 +36% |
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 86. 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.