← Risk register SOC 31-9092 · reviewed 2026-08-11

Medical Assistants

817,870 US workers · median $45,690/yr · Healthcare Support

EXPOSED

The clinical half of this job — rooming patients, taking vitals, drawing blood, giving injections, running EKGs, prepping and sterilizing instruments, assisting the provider at the exam table — is hands-on work with unpredictable human bodies that no robot performs today. The administrative half — scheduling, insurance verification, prior-auth paperwork, coding, EHR data entry, phone triage scripts — is exactly what AI and automated patient-intake systems are eating, so the job is compressing toward its clinical core. There is no license shield in most states (CMA/RMA certification is employer-preferred, not legally required), and the MA works under a provider's authority rather than owning consequential calls.

10-year outlook: Headcount keeps growing because outpatient visit volume is growing, but the administrative side of the job shrinks and employers will pay for the clinical-procedural MA, not the clipboard MA.

US employment, 2019–2025+14.8%
712,430817,870 workers

Headcount grew steadily across the period.

Median pay $34,800 → $45,690 +5.0% in real terms (nominal +31.3%, 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

+12.5% 811,000 → 912,200 on the projections basis

Growing, and only partly exposed

The BLS expects +12.5% more of these jobs by 2034, and at 55/100 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.

~112,300 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.

Podiatric AideOphthalmic AideOptometric AideClinic AssistantDoctor AssistantHealth AssistantOcular Care AidePhysician's AideAutopsy AssistantHealth Unit ClerkDoctor's AssistantOptometry AssistantPodiatric AssistantOphthalmic AssistantOptometric AssistantOrthopedic AssistantPodiatrist AssistantMedical Office WorkerOptometrist AssistantChiropractic AssistantChiropractor AssistantMedical Assistant (MA)Clinic Medical AssistantHospital Clinic Assistant

Score — 55/100 resistance

Holding it up: embodiment (17/20). Weakest point: liability shield (5/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 14 + 17 + 5 + 12 + 7 = 55. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 14/20

Tasks largely resist digitisation Venipuncture on a dehydrated 80-year-old's collapsed veins, holding a screaming toddler still for an IM injection, positioning a hip-fracture patient for an EKG — these are the tasks that keep this at 14 rather than 18, because the same shift also includes chart prep, referral faxes, recall calls and eligibility checks that intake kiosks and AI phone agents already handle.

Embodiment 17/20

Hands-on in uncontrolled environments You are on your feet in exam rooms for eight to ten hours touching patients who cough on you, bleed, faint on the draw chair, and refuse to hold their arm still; the 17 rather than 20 reflects that it happens inside a climate-controlled clinic rather than a roadside or a crawlspace.

Liability shield 5/20

Certification preferred, not legally required CMA/RMA/CCMA credentials get you hired, not licensed — in most states you inject, draw and take vitals under a physician's or NP's delegated authority, and when a medication error reaches a board it goes to the supervising provider's license, which is why this sits at 5 and not 2 (a handful of states, including Washington's MA-C registration and California's specific injection-training requirements, do impose a legal credential).

Trust premium 12/20

Some relationship component In a small family practice or oncology infusion suite you are the person the panel of regulars asks for by name and the one who notices the patient looks worse than last month, but the job is staffed to be interchangeable across pods and float pools, so the relationship is real without being the thing the clinic sells.

Judgment & accountability 7/20

Meaningful discretion Most of the day runs on standing orders and protocol — vitals thresholds, which forms go with which visit type, scripted triage questions with mandatory escalation to the nurse or provider — and the 7 rather than 4 covers the calls you actually make alone: deciding a walk-in's chest complaint or a BP of 210/120 cannot wait for the next open slot.

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, physical-presence, trust

How to future-proof this job

Training paths for your skill gaps: Coursera — decision making under uncertainty free to audit · Coursera — customer service and client-facing skill courses free to audit · MIT OpenCourseWare — systems analysis and engineering free · Coursera — work planning and personal productivity free to audit · edX — performance measurement and evaluation free to audit · Coursera — negotiation courses, audit free free to audit · Coursera — engineering and procurement courses, auditable without paying free to audit · Coursera — quality control and inspection courses, auditable 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.

Licensed Practical and Licensed Vocational Nurses SAFE · 73/100 · you already have ~74% of the skill profile

Skills to close: Judgment and Decision Making, Service Orientation, Systems Analysis, Time Management

Psychiatric Technicians SAFE · 67/100 · you already have ~67% of the skill profile

Skills to close: Monitoring, Negotiation

Physical Therapist Assistants SAFE · 79/100 · you already have ~65% of the skill profile

Skills to close: Equipment Selection, Quality Control Analysis

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 71/100 — SAFE.

5 specific changes that would raise this score
  • already happening task resistance +3

    Genuine two-tier structure: as ambient documentation (Abridge, Nuance DAX), automated prior-auth, and AI phone triage absorb the administrative tier, the surviving job is hands-on clinical plus exception handling — the difficult venipuncture, the pediatric patient who won't hold still, the vitals that don't match the chart. Task-mix shift alone raises resistance without any new law, though it also shrinks headcount per clinic.

  • already happening judgment accountability +2

    Expansion into chronic-care management and RPM billing roles (CMS CPT 99490/99457 require clinical staff time under general supervision), where the MA owns panel outreach, medication-adherence follow-up, and decides which patients get flagged. Reimbursement structure already funds this; wider adoption converts the role from task-taker to panel manager.

  • plausible liability shield +5

    State legislatures or medical boards moving MAs from employer-preferred certification to statutory scope-of-practice licensure — the model already exists in a few states (e.g. Washington's Medical Assistant-Certified credential under RCW 18.360, South Dakota and Alaska registration rules). If more states adopt a WA-style credential that legally defines who may inject, draw blood, or enter orders under delegation, the role gains a named, revocable license rather than a resume line.

  • plausible liability shield +3

    Delegation rules requiring a named, credentialed human to perform and attest to vaccine administration, specimen collection, or point-of-care testing — CLIA-waived testing personnel requirements and state vaccine-delegation rules already name specific credentialed staff; extension of such attestation duties to AI-assisted intake workflows (a human must verify AI-populated allergy/med lists before injection) would attach personal accountability.

  • plausible judgment accountability +3

    Formal escalation authority in standing orders — protocols that require the MA to independently recognize and escalate red-flag vitals or symptoms (chest pain, hypertensive crisis, sepsis screens) with documented sign-off, as some ACO and PCMH quality programs already structure rooming protocols. If the MA's escalation decision becomes an auditable, attributable call rather than a script the provider re-reads, ownership rises.

The limit. Trust premium has no plausible route: patients do not choose a clinic for its medical assistants, and no billing line prices one. The embodiment score is already near the ceiling and is the main thing holding this occupation up — most upside here is in licensure, and licensure gains would be state-by-state and slow relative to how fast the administrative half is being absorbed. Even with every lever above, headcount per practice can fall while the remaining role scores higher.

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 386 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 44,060 $48,370 +6%
Los Angeles-Long Beach-Anaheim, CA 39,770 $47,760 +5%
Dallas-Fort Worth-Arlington, TX 20,560 $43,100 -6%
Miami-Fort Lauderdale-West Palm Beach, FL 18,670 $44,930 -2%
Houston-Pasadena-The Woodlands, TX 18,280 $42,110 -8%
Atlanta-Sandy Springs-Roswell, GA 16,910 $46,060 +1%
Chicago-Naperville-Elgin, IL-IN 15,640 $47,270 +3%
Phoenix-Mesa-Chandler, AZ 15,410 $46,830 +2%

Best paid

Vallejo, CA 1,360 $77,410 +69%
Santa Rosa-Petaluma, CA 1,550 $64,820 +42%
Napa, CA 320 $62,050 +36%

Percentages are against this occupation's national median of $45,690. 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 55. 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.

Watch this verdict
Kept current

Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.