Physiotherapy Technicians and Assistants

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Physiotherapy Technicians and Assistants (ISCO-08 3255) score an average of 0.17 on a 0–1 exposure scale — more exposed than about 22% 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

“Monitoring and recording patients' progress during treatments, including measuring their range-of-joint motion and vital signs;”

Scores 0.27 on the 2025 scale. Monitoring and recording patients' progress during treatments, such as measuring their range-of-joint motion and vital signs, involves tasks that are partly automatable due to their structured nature and data-driven components. Generative AI can assist in documentation, trend analysis, and even provide predictive insights based on historical data, similar to the tasks of maintaining therapy documentation and patient health records, which have automation scores of around 0.28 to 0.475. However, the requirement for human physical interaction and professional judgment in the direct measurement and interpretation of patients' changing physical states limits the full automation potential, as seen in tasks like conducting functional and physical tests (0.173125) or directing rehabilitation (0.2). Given the role of human expertise and the structured yet hands-on nature of these monitoring tasks, the adjusted score reflects AI's supporting role while acknowledging the indispensable need for human involvement in patient care. The infrastructure and high technological access in Poland further support the integration of AI tools in aiding such tasks.

Moving fastest, 2023 → 2025

“Monitoring and recording patients' progress during treatments, including measuring their range-of-joint motion and vital signs;”

Model capability on this task changed by +0.07 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 3255, 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.

• Physical Therapist Assistants
• Massage Therapists

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Physiotherapy Technicians and Assistants sit at the 22nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Physiotherapy Technicians and Assistants rank in the 22nd 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 0.00 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Monitoring and recording patients' progress during treatments, including measuring their range-of-joint motion and vital signs;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Physiotherapy Technicians and Assistants". https://singulariki.com/gradient/3255-physiotherapy-technicians-and-assistants.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.