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Personal Care Aides

Food Preparation & Service
Projected change 2024–34:
Median annual wage (2024):
Employment (2024):

United States · BLS Employment Projections 2024–34: this SOC code is not among the published items.

AI exposure in published research

Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.

Data provider: OpenAI · "GPTs are GPTs"

Time basis: 2023 baselineex-ante estimate

Scored against GPT-4-generation capability.

Human rater basis
33.3%
GPT-4 rater basis
22.2%

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

11 rated tasks · 3 tasks with β ≥ 0.5 (27.3%)

Version:
gh-main-0471612
License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Published 2026-03-05composite index

Observed exposure

This occupation code is not included in this dataset.

Theoretical exposure index weighted by measured Claude usage, per the original report's definition.

10 tasks · usage observed in 1 · mean 7.3%

Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex

AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

Version:
hf-lmi-2026-03
License:
CC BY 4.0
Observation period:
(not applicable to this release)
Model:
(not stated by the source)

2023 prediction vs observation-based index published 2026-03-05

One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.

Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.

The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.

The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.

These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.

Task Breakdown

  • Assist with bathing, dressing, and personal hygiene
  • Monitor client health and report changes
  • Prepare meals and assist with feeding
  • Document care activities and maintain records

About This Occupation

If you work as a Personal Care Aide, AI is reshaping your profession. With an automation risk of 9/100 and overall exposure at 10%, this role faces low transformation. The highest-impact area is document care activities and maintain records at 40% automation. This is classified as an 'augment' role. BLS projects +21% growth through 2034. The aging population and growing demand for home-based care are driving strong employment growth. While AI tools can assist with health monitoring and recordkeeping, the hands-on, empathetic nature of personal care work remains fundamentally resistant to automation.

ISCO-08 classification

Unit group 5322ILO official

Home-based Personal Care Workers

Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.

Definition

ILO original text (English)

Home-based personal care workers provide routine personal care and assistance with activities of daily living to persons who are in need of such care due to effects of ageing, illness, injury, or other physical or mental condition in private homes and other independent residential settings.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET31-1122.00

    Personal Care Aides

    Provide personalized assistance to individuals with disabilities or illness who require help with personal care and activities of daily living support (e.g., feeding, bathing, dressing, grooming, toileting, and ambulation). May also provide help with tasks such as preparing meals, doing light housekeeping, and doing laundry. Work is performed in various settings depending on the needs of the care recipient and may include locations such as their home, place of work, out in the community, or at a daytime nonresidential facility.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

View original

Frequently Asked Questions

The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 33.3% under human raters. Both figures are reproduced from published research without modification.

They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.