← Risk register SOC 29-2091 · reviewed 2026-08-11

Orthotists and Prosthetists

9,390 US workers · median $81,110/yr · Healthcare

SAFE

The core of this job is hands-on: taking casts and scans of residual limbs, fabricating or modifying sockets and braces, then watching a patient walk and adjusting alignment by feel over multiple fittings. AI and 3D printing are reshaping the CAD/design and documentation layers, but the diagnostic touch, gait assessment, and iterative fit correction sit outside what current robotics can do. Most states license the profession and ABC certification plus a physician prescription gate the work, and payers require documented clinical justification signed by a practitioner.

10-year outlook: Design and fabrication will largely shift to automated scan-to-print pipelines, but demand from diabetes-related amputations and an aging population keeps skilled fitters in short supply through the 2030s.

US employment, 2019–2025-4.5%
9,8309,390 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $68,410 → $81,110 -5.1% in real terms (nominal +18.6%, 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

+13.3% 10,100 → 11,500 on the projections basis

Hard to automate, and growing

The work resists current AI and the BLS projects +13.3% 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.

~900 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 — 24 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.

OrthotistPedorthistProsthetistBoard OrthotistOrthotic FitterBoard ProsthetistLicensed OrthotistOrthotic AssistantOrthotic ClinicianOrthopedic MechanicOrthotist ClinicianCertified PedorthistLicensed ProsthetistOrthopedic AssistantProsthetic AssistantProsthetic ClinicianOrthotic PractitionerArtificial Limb FitterProsthetic PractitionerCertified Orthotist (CO)Certified Orthotic FitterOrthotist and ProsthetistCertified Prosthetist (CP)Orthotic Technician (Orthotic Tech)

Score — 75/100 resistance

Holding it up: embodiment (18/20). Weakest point: liability shield (13/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 15 + 18 + 13 + 15 + 14 = 75. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 15/20

Tasks largely resist digitisation CAD carving, socket file prep, and L-code documentation are genuinely being absorbed by software, but the sequence that defines the job — palpating bony prominences through soft tissue, deciding where to build relief versus load, then reading a patient's compensatory hip hike on the third fitting and grinding the socket brim accordingly — has no digital substitute, which is why this sits at 15 rather than higher: a meaningful slice of your billable day is design and paperwork that will shrink.

Embodiment 18/20

Hands-on in uncontrolled environments You are casting a residual limb with plaster or scanning it in a clinic, then moving to a lab with ovens, vacuum forming, routers, and grinders, then back to a parallel bar to watch ambulation — an 18 reflects that the patient's changing limb volume, skin integrity, and gait are physical variables you can only resolve by touching them, with the only concession being that scanning and central fabrication move some work off your bench.

Liability shield 13/20

Licensed human required and personally liable State licensure in most jurisdictions plus ABC or BOC certification means your credential is on the claim and your name on the clinical note that justifies a K-level and a component choice; the 13 rather than 18 reflects that a physician's prescription originates the episode and carries the diagnostic liability, so you defend fit and fabrication rather than the decision to amputate or brace.

Trust premium 15/20

The human relationship is the product Patients return to you for socket changes across years as their limb matures, and they disclose skin breakdown, falls, and abandoned devices to the person who casts them, not to their surgeon — the 15 acknowledges that this relationship carries real switching cost while stopping short of 18 because payer networks, hospital contracts, and prescriber referral patterns often assign the patient to you rather than the reverse.

Judgment & accountability 14/20

Exists to be accountable for ambiguous calls Choosing between a hydraulic and microprocessor knee for a marginal K3 candidate, deciding whether a diabetic patient's insensate foot can tolerate a total-contact socket, and judging when a scoliosis brace is failing versus needs correction are calls with limb-loss and fall consequences and no protocol that resolves them; the 14 rather than 17 reflects that prescription parameters and payer coverage criteria fence in the outer bounds of what you can select.

Confidence: high · 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, licensure, trust

How to future-proof this job

Where to go deeper on what this job runs on: Khan Academy — reading and vocabulary, all levels, free free · Coursera — active listening and communication skills free to audit · Purdue OWL — the standard reference for professional writing free · Toastmasters — public speaking practice at local clubs worldwide low · Coursera — critical thinking and logic, audit free free to audit · MIT OpenCourseWare — full course materials across every department, free free

All 35 skills ranked by how many jobs they open →

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 90/100, still SAFE.

5 specific changes that would raise this score
  • already happening liability shield +3

    Licensure spreading past the roughly 20 states that currently license O&P (following the Florida/Texas/Illinois practice-act model), with scope language that reserves patient assessment, casting/scanning, and definitive fitting to the licensee — meaning an AI-generated socket design still requires a licensed practitioner's personal fitting sign-off.

  • already happening task resistance +3

    Task-mix shift as the prefabricated/off-the-shelf brace tier migrates to retail, telehealth, and scan-to-print vendors, leaving the licensed practitioner's caseload concentrated in complex custom sockets, pediatric scoliosis bracing, and multi-visit alignment correction — the tier defined by touch and iterative gait judgment. Watch for prefab volume dropping out of clinic billing mix.

  • plausible liability shield +4

    CMS finally issuing the rule implementing Section 427 of the Benefits Improvement and Protection Act of 2000, which requires that custom-fabricated orthotics and prosthetics be furnished only by a state-licensed or ABC/BOC-certified qualified practitioner for Medicare payment. The statute exists but the enforcement rule has never been fully promulgated; a final rule would make a named certified practitioner the payment-gating signer and exclude unlicensed DME suppliers and remote 'central fab' pipelines from billing.

  • plausible judgment accountability +3

    Payer or accreditation rules (e.g., ABC facility accreditation standards, or Medicare LCD documentation for microprocessor knees) requiring a named practitioner to attest in writing to K-level/functional-level determination and fall-risk suitability, making that ambiguous call personally attributable rather than a form field.

  • plausible trust premium +2

    Amputee advocacy pressure (Amputee Coalition campaigns, state 'insurance fairness for amputees' laws now passed in ~30 states) framing device fit as a clinical relationship rather than a product purchase, plus VA contracting that specifies in-person practitioner care rather than mail-order fulfillment.

The limit. Already 75/100; the physical and relational core is the score, so the realistic headroom is a few points on the institutional dimensions. The main downside risk is the opposite of these levers — scan-to-print vendors and DME competitive bidding pulling the prefab tier out of licensed hands entirely, which shrinks headcount even as per-practitioner resistance rises.

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 51 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

New York-Newark-Jersey City, NY-NJ 320 $107,520 +33%
Los Angeles-Long Beach-Anaheim, CA 280 $103,070 +27%
Washington-Arlington-Alexandria, DC-VA-MD-WV 250 $82,830 +2%
Boston-Cambridge-Newton, MA-NH 220 $90,160 +11%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 200 $93,600 +15%
Riverside-San Bernardino-Ontario, CA 170 $91,820 +13%
Tampa-St. Petersburg-Clearwater, FL 160 $81,260 +0%
Chicago-Naperville-Elgin, IL-IN 150 $91,220 +12%

Best paid

San Jose-Sunnyvale-Santa Clara, CA 50 $108,110 +33%
New York-Newark-Jersey City, NY-NJ 320 $107,520 +33%
Portland-Vancouver-Hillsboro, OR-WA 110 $106,990 +32%

Percentages are against this occupation's national median of $81,110. 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 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.

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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