Personal Care Workers in Health Services Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Personal Care Workers in Health Services Not Elsewhere Classified (ISCO-08 5329) score an average of 0.15 on a 0–1 exposure scale — more exposed than about 18% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Labelling drugs, chemicals and other pharmaceutical preparations and replenishing stock on shelves;”

Scores 0.21 on the 2025 scale. The task of labeling drugs, chemicals, and other pharmaceutical preparations and replenishing stock on shelves primarily involves physical handling and organization, similar to tasks like replenishing cleanliness supplies (adjusted score: 0.1323) and arranging goods on store shelves (adjusted score: 0.19). These tasks share significant physical components and require manual intervention that Generative AI cannot automate. However, Generative AI can assist indirectly through inventory management, providing guidance on labeling protocols, and optimizing stock replenishment to some extent. Compared to tasks that involve complex decision-making and professional oversight, such as overseeing the supply of medicines (adjusted score: 0.349), the physical nature of this task reduces its automation potential. Given these factors and considering the technological infrastructure in a high-income country like Poland, an adjusted score of 0.275 reflects the modest potential for automation assistance in optimizing stock management and aiding in labeling processes but acknowledges the essential human involvement in the task's physical components.

Moving fastest, 2023 → 2025

“Labelling drugs, chemicals and other pharmaceutical preparations and replenishing stock on shelves;”

Model capability on this task changed by +0.06 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 5329, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Dental Assistants
• Phlebotomists
• Healthcare Support Workers, All Other
• Speech-Language Pathology Assistants
• Endoscopy Technicians
• Medical Equipment Preparers
• Physical Therapist Aides
• Pharmacy Aides

In context

Part of the 5 - Service and sales workers major group. Return to the full gradient to see how the whole group sits.

Personal Care Workers in Health Services Not Elsewhere Classified sit at the 18th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Personal Care Workers in Health Services Not Elsewhere Classified rank in the 18th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Labelling drugs, chemicals and other pharmaceutical preparations and replenishing stock on shelves;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Personal Care Workers in Health Services Not Elsewhere Classified". https://singulariki.com/gradient/5329-personal-care-workers-in-health-services-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.