← Risk register SOC 31-1120 · reviewed 2026-08-11

Home Health and Personal Care Aides

4,305,810 US workers · median $35,800/yr · Healthcare Support

SAFE

Bathing, transferring, toileting, dressing, meal prep, and wound-site observation in a cluttered private home are exactly the tasks robotics cannot touch and language models cannot substitute for. The automatable slice is thin — visit notes, scheduling, care-plan documentation, and eligibility paperwork — while the hands-on hours are the job. The real threats here are wages and turnover, not AI; note that licensure is weak (agency training and state HHA certification rather than a personally liable license), so the moat is physical and relational, not regulatory.

10-year outlook: Demand grows faster than almost any other occupation through the 2030s as the population ages; AI will absorb the paperwork and remote monitoring while the physical care hours expand.

US employment, 2019–2025+36.2%
3,161,5004,305,810 workers

Headcount grew steadily across the period.

Median pay $25,280 → $35,800 +13.3% in real terms (nominal +41.6%, 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

+17% 4,347,700 → 5,087,500 on the projections basis

Hard to automate, and growing

The work resists current AI and the BLS projects +17% 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.

~765,800 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.

AideSitterCaregiverCaretakerCompanionBlind AideCare WorkerBlind EscortHospice AideCare ProviderHome ProviderCare CaregiverCare CompanionGeriatric AideHome AttendantHome Care AideHome CaregiverHome Help AideNutrition AidePatient SitterHome Care GiverMedication AideResidential AideElderly Companion

Score — 70/100 resistance

Holding it up: embodiment (20/20). 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: 17 + 20 + 7 + 17 + 9 = 70. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 17/20

Tasks largely resist digitisation Pivot-transferring a 200-pound contracture patient from bed to commode, coaxing a dementia client through a shower, and pressure-cooking a low-sodium meal in someone else's kitchen are the hours that get billed — the software-shaped slice is the EVV clock-in and the daily task checklist, which is why this sits at 17 rather than mid-teens.

Embodiment 20/20

Hands-on in uncontrolled environments Every shift happens in an uncontrolled private residence with unpredictable stairs, pets, hoarding, and no lift equipment, and the work is skin-to-skin: perineal care, nail and mouth care, repositioning, ambulation support — there is no remote version of any of it, which is the definition of 20.

Liability shield 7/20

Certification preferred, not legally required Medicare-certified agencies require 75 hours of training and a competency evaluation under 42 CFR 484.80, and some states add an HHA registry listing, but the aide holds no license that can be revoked by a board and the RN who signs the care plan owns clinical liability — that training floor is what lifts this off 3 to a 7.

Trust premium 17/20

The human relationship is the product Clients let one specific person see them naked and incontinent four mornings a week, families request that aide by name, and a replacement warm body routinely triggers refusal of care — the relationship is the service, docked from 20 only because agency scheduling churn and Medicaid reassignment mean the client often has no say in who arrives.

Judgment & accountability 9/20

Meaningful discretion The care plan specifies the ADLs and the aide is barred from adjusting medication or performing skilled tasks, but the discretion that matters is unsupervised triage — noticing a new sacral redness, a sudden confusion, a fall risk, or a bruise that means calling the nurse or APS — real stakes, narrow authority, which is a 9 rather than a 14.

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, trust, physical-presence

How to future-proof this job

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 84/100, still SAFE.

5 specific changes that would raise this score
  • already happening liability shield +2

    Electronic Visit Verification (21st Century Cures Act, already in force for Medicaid personal care) tightened so the aide's own attestation of task completion becomes the fraud-liable record, making the named individual — not the agency — the signer on billable service delivery

  • already happening trust premium +2

    Consumer-directed care budgets (Medicaid self-direction, VA Veteran-Directed Care) growing so the client personally hires and can refuse remote-monitoring substitution — buyer choice of a specific named human is contractual, not incidental

  • already happening task resistance +2

    If sensor/remote-monitoring platforms absorb the documentation, scheduling and eligibility paperwork slice, the residual day is entirely hands-on and relational — task-mix shift with no law needed

  • plausible liability shield +4

    State expansion of mandatory HHA certification with individual registry listing and personal accountability for abuse/neglect findings — e.g. states adopting CMS-style training-hour minimums for Medicaid HCBS personal care workers, or California-style Home Care Aide Registry requirements extended to all payers, plus mandated-reporter status with individual sanction rather than agency-only liability

  • plausible judgment accountability +4

    Hospital-at-home and Medicaid HCBS programs formally assigning aides escalation duties — protocolized deterioration triage, fall-risk and skin-integrity reporting that nurses act on — as in some ACO/managed-LTSS contracts paying differentials for 'care escalation' roles; the aide then owns the call to escalate under ambiguity

The limit. Embodiment is already maxed and task_resistance is near ceiling; realistic headroom is almost entirely in liability_shield and judgment_accountability. None of these levers touch the actual threat to this occupation, which is wage suppression, immigration restriction on the labor supply, and 60%+ annual turnover — a higher AI-resistance score here does not mean a better job.

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 392 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 644,700 $39,680 +11%
Los Angeles-Long Beach-Anaheim, CA 385,530 $34,320 -4%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 158,280 $29,800 -17%
San Francisco-Oakland-Fremont, CA 119,120 $35,950 +0%
Chicago-Naperville-Elgin, IL-IN 108,520 $38,180 +7%
Riverside-San Bernardino-Ontario, CA 102,760 $34,320 -4%
Minneapolis-St. Paul-Bloomington, MN-WI 93,560 $38,860 +9%
Boston-Cambridge-Newton, MA-NH 72,420 $40,910 +14%

Best paid

Grants Pass, OR 4,640 $53,120 +48%
Seattle-Tacoma-Bellevue, WA 54,670 $48,210 +35%
Longview-Kelso, WA 1,780 $47,840 +34%

Percentages are against this occupation's national median of $35,800. 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 70. 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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