Structural pressure
9%
Low RiskMasseur (non-medical) (including foot reflexologist)
This model suggests AI is unlikely to significantly disrupt Masseur (non-medical) (including foot reflexologist). low exposure with limited overlap across core tasks.
Limited buffers available against the structural pressure.
Why This Score
13% of tasks overlap with current AI
24% human advantage from judgment & presence
37% demand buffer from SG labour market
AI usage 2pp above theoretical exposure
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works
Tasks AI can handle
Reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.
Where humans stay essential
Genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.
Skills to focus on
Role profile
Heuristic workflow context from shared occupation archetypes. This profile helps interpret the score; it is not a direct occupation-level measurement and is not part of the core net-risk formula.
Workflow dimensions (0 = low, 1 = high)
Singapore Now
Cooling, but not collapsing. Vacancies are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 11.4% YoY
Hiring
2.6%
vs 1.6% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
78.5%
find work in 12mo· -1.6pp
Clerical, Sales & Service Workers · Q4 2025 full
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
How this changes by career stage
What You Can Do
Masseur (non-medical) (including foot reflexologist) 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
Adjacent pathways to investigate
Similarity-basedSee how this compares to similar occupations
Compare with... →Classification
Higher risk than 31% of occupations· Polytechnic / ITE Diploma
Raw scores
AIOE -0.837 · θ 0.639 · C-AIOE -0.676
Stability
watch · Optimistic 4% · Pessimistic 13%
Sensitivity band
Exposure 12–14% · Net risk 7.75–9.52%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 1,550 · Median 1,600 · 75th 1,945
Evidence & sources
Crosswalk
direct · SSOC 51491
Anthropic: +2pp vs theory
Evidence quality
59% · Crosswalk 0.00 · Market 0.70 · Fresh 0.80
100% weighted task match · 0% effective coverage
Exposure by 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 3.1% and fell by 0.2 points from last quarter.
- Hiring read: recruitment is running above resignation (2.6% vs 1.6%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 78.5% of retrenched workers re-entered employment within 12 months.
- Live job ads show 1 visible postings in the last 30 days, led by Microsoft Office, Quality Improvement, Treatment.
Worker profile
Gender mix
38% male / 62% femalePublished Singapore worker composition for the detailed occupation family 51 Personal Service 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 $1,600, female $1,600.
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.