Healthcare assistant (e.g. therapy aide/assistant)
AI Exposure Rank
31/100
Range 28–36/100 across source-weight sensitivity checks
Healthcare assistant (e.g. therapy aide/assistant) has an AI Exposure Rank of 31/100, meaning its work is more exposed to current AI capabilities than approximately 31% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.
Service & Sales Workers·SGD 2,432/mo (2,084–2,870)·~2.7K workers in SG·Updated 2026-07-17
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
How This Rank Is Built
The source percentiles are combined using the displayed reliability weights, then ranked against all 562 Singapore occupations. This is not a percentage of tasks and not a job-loss probability.
Likely job pathway
Limited direct change
Current demand context
Mixed current demand
Pathway and demand are reported beside the exposure rank. Current demand does not change the rank.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. Score stability: watch. How this works
Tasks AI can handle
With 34% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Healthcare assistant (e.g. therapy aide/assistant) tasks most exposed include: reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.
- • Specify inputs accessed by the system and plan the distribution and use of the results.
- • Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.
- • Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.
O*NET tasks for this occupation with the most observed Claude usage (Anthropic task data).
What AI can't do here
At 50% human bottleneck protection, the tasks that remain hardest to automate for Healthcare assistant (e.g. therapy aide/assistant) include: genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.
Main insulation channels: Non-routine work + Accountability for others — the work-context dimensions behind this occupation's human bottleneck.
- • Determine computer software or hardware needed to set up or alter systems.
Highest-importance tasks with no observed Claude usage in the same data — absence of observed usage, not proof of immunity.
Skills to focus on
Brynjolfsson et al. (2023) found customer service agents using AI saw +14% productivity, with the biggest gains among junior workers — AI compressed the experience gap.
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), Pizzinelli et al. bottleneck model. Full methodology.
From exposure to employment
What could change the employment outcome?
AI capability is only the starting point. Adoption, task design, human oversight, demand, mobility and evidence quality determine how exposure may resolve in practice.
Workplace adoption
Occupation-level adoption unknown
MOM does not publish a directly mappable adoption rate for the listed industries.
Task structure
Task evidence available
98% weighted task match · 27% effective coverage
Human advantage
Coordination and judgment still matter
At 50% human bottleneck protection, the tasks that remain hardest to automate for Healthcare assistant (e.g. therapy aide/assistant) include: genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.
Hiring and demand
3.2% vacancy rate · 2026 Q1
Clerical, sales and service vacancies recovered slightly from Q4 but remained well below a year earlier. Hiring turnover slowed, retrenchment incidence stayed low, and six-month re-entry improved. In 2025, this broad occupation group had 4.0% time-related underemployment and 16.0% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed -1.9% to -0.1% from 2018 to 2023.
Career transitions
Nursing aide/assistant
moderate modeled transition; outcomes still depend on skills, wages and openings.
Evidence strength
medium confidence
3 exposure sources · sensitivity 28–36/100 across source-weight sensitivity checks.
These lenses are reported separately and do not alter AI Exposure Rank. Labour-market figures describe a broad official occupation cluster, not this SSOC occupation alone.
Singapore Now
Current labour market conditions and how they affect this role.
Cooling, but not collapsing. Vacancies and re-entry are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.2%
↓ 20.0% YoY
Hiring
2.1%
vs 1.4% resign
Retrenchment
0.7
per 1,000 · low
Re-entry
68%
find work in 12mo· -10.5pp
Clerical, Sales & Service Workers · 2026 Q1
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Healthcare assistant (e.g. therapy aide/assistant) has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Similarity-basedCompare within Service & Sales Workers
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 31% of occupations · V8 AI Exposure Rank· Polytechnic / ITE Diploma
Raw scores
AIOE -0.189 · θ 0.674 · C-AIOE -0.153
Stability
watch · Optimistic 10% · Pessimistic 18%
Score range (best/worst case)
Exposure sensitivity 30–37% · Rank sensitivity 28–36/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
Wage range (SGD/mo)
25th 2,084 · Median 2,432 · 75th 2,870
Evidence & sources
Data matching
direct · SSOC 53201
Real-world AI usage: +11% vs estimated
Data quality
medium evidence · 3 exposure sources · direct mapping
98% weighted task match · 27% effective coverage
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
Tools & offset factors
What helps
- Nearby moves and published transition support look reasonably strong.
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
Worker profile & local context
- Vacancy rate is 3.2% and rose by 0.1 points from last quarter.
- Hiring read: recruitment is running above resignation (2.1% vs 1.4%).
- Retrenchment was low at 0.7 per 1,000 employees.
- 68% of retrenched workers re-entered employment within 12 months.
- The postings snapshot is stale; its latest captured ad is dated 2026-03-19.
Worker profile
Gender mix
15% male / 85% femalePublished Singapore worker composition for the detailed occupation family 53 Personal Care Workers.
Employment structure
Employee-heavy91% employees, 9% employers or self-employed workers.
Work arrangement
Part-time meaningful24% part-time and 76% full-time in 2025.
Age profile
Older-skewing17% aged 15 to 29, 32% aged 30 to 49, and 51% aged 50 or older.
Qualification mix
Non-degree heavySecondary 26%; Post-secondary 25%.
Gross wage by sex
Near parityPublished June 2024 gross wage medians: male $2,386, female $2,450.
Where this work is concentrated
Top planning areas
Woodlands, Tampines, Yishun22% of workers in this occupation group live in these three planning areas.
Residential concentration
Moderately clustered35% live across the top five planning areas in the 2020 Census.
Commute pattern
Mid-range commutesEstimated average commute 33.8 minutes. 28% take 46 minutes or more.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
General role profile on a 0–100 scale. These are modelling inputs, not measurements of an individual job or worker.
How this changes by career stage
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
Frequently asked questions
Will AI replace Healthcare assistant (e.g. therapy aide/assistant)?
Healthcare assistant (e.g. therapy aide/assistant) has an AI Exposure Rank of 31/100, meaning its work is more exposed to current AI capabilities than approximately 31% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss. AI Exposure Rank: 31/100 (Low). Median wage: SGD 2,432/month.
What is the AI exposure rank for Healthcare assistant (e.g. therapy aide/assistant)?
Healthcare assistant (e.g. therapy aide/assistant) has an AI Exposure Rank of 31/100, rated Low. It ranks higher than approximately 31% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Healthcare assistant (e.g. therapy aide/assistant)?
Healthcare assistant (e.g. therapy aide/assistant) has modeled transition pathways to related occupations. The strongest adjacent pathway is Nursing aide/assistant, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Healthcare assistant (e.g. therapy aide/assistant) salary compare in the live market?
Healthcare assistant (e.g. therapy aide/assistant) earns a median gross wage of SGD 2,432/month in the live market (25th-75th percentile: SGD 2,084-2,870). This is 46% below median across all 562 scored occupations, and 19% below group median within Service & Sales Workers occupations.