Structural pressure
5%
Very Low RiskHand launderer/presser (non-household)
This model suggests AI is unlikely to significantly disrupt Hand launderer/presser (non-household). low exposure with limited overlap across core tasks.
Limited buffers available against the structural pressure.
Why This Score
8% of tasks overlap with current AI
28% human advantage from judgment & presence
64% demand buffer from SG labour market
AI usage 12pp 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
Predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.
Where humans stay essential
Physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.
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
Still healthy locally. Hiring remains positive and retrenchment stays low, even if demand is not accelerating.
Vacancy
2.8%
↑ 16.7% YoY
Hiring
2.4%
vs 1.5% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
78.1%
find work in 12mo· -4.5pp
Production & Transport Operators, Cleaners & Labourers · 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
Hand launderer/presser (non-household) 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 18% of occupations· GCE O-Level / Secondary
Raw scores
AIOE -1.630 · θ 0.647 · C-AIOE -1.306
Stability
watch · Optimistic 0% · Pessimistic 9%
Sensitivity band
Exposure 5–11% · Net risk 2.65–6.37%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 1,400 · Median 1,600 · 75th 2,022
Evidence & sources
Crosswalk
direct · SSOC 91210
Anthropic: +12pp vs theory
Evidence quality
88% · Crosswalk 1.00 · Market 0.70 · Fresh 0.84
95% weighted task match · 0% effective coverage
Exposure by source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Worker profile & local context
- Vacancy rate is 2.8% and rose by 0.8 points from last quarter.
- Hiring read: recruitment is running above resignation (2.4% vs 1.5%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 78.1% of retrenched workers re-entered employment within 12 months.
- Employer pressure is low, based on 1 recent Singapore-relevant company signals.
Worker profile
Gender mix
44% male / 57% femalePublished Singapore worker composition for the detailed occupation family 91 Cleaners & Related Workers.
Employment structure
Employee-heavy96% employees, 4% employers or self-employed workers.
Work arrangement
Part-time meaningful33% part-time and 67% full-time in 2025.
Age profile
Older-skewing5% aged 15 to 29, 14% aged 30 to 49, and 81% aged 50 or older.
Qualification mix
Non-degree heavyBelow secondary 56%; Secondary 18%.
Gross wage by sex
Female median 7% higherPublished June 2024 gross wage medians: male $1,500, female $1,600.
Where this work is concentrated
Top planning areas
Jurong West, Woodlands, Bedok22% 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 32.8 minutes. 27% take 46 minutes or more.