Hand launderer/presser (non-household)
AI displacement risk
4%
Range 2.48–5.90%
Hand launderer/presser (non-household) has 8% AI task overlap and 18% human bottleneck protection — lower risk than 78% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Cleaners, Labourers & Related Workers·SGD 1,600/mo (1,400–2,022)·~6.4K workers in SG·Updated 2026-06-11
Structural pressure, not a prediction of job loss. Displacement tends to arrive through slower hiring, wage compression and role redesign before layoffs.
Why This Score
8% of tasks overlap with current AI
18% human advantage from judgment & presence
64% demand buffer from the local labour market
AI usage 12pp above theoretical exposure
These factors interact with each other — the final score is not a simple sum of these bars.
How much AI overlaps with this job's tasks, offset by human advantages and local demand. Score stability: watch. How this works
Tasks AI can handle
With 8% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Hand launderer/presser (non-household) tasks most exposed include: predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.
- • Select thread, twine, cord, or yarn to be used, and thread needles.
- • Measure and align parts, fasteners, or trimmings, following seams, edges, or markings on parts.
- • Trim excess threads or edges of parts, using scissors or knives.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 18% human bottleneck protection, the tasks that remain hardest to automate for Hand launderer/presser (non-household) include: physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.
Main insulation channels: Non-routine work + Accountability for others — the work-context dimensions behind this occupation's human bottleneck.
- • Fit garments on clients, altering as needed.
Highest-importance tasks with no observed AI usage in the same data — absence of observed usage, not proof of immunity.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
Singapore Now
Current labour market conditions and how they affect this role.
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 · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
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
Related roles you could transition to
Similarity-basedCompare within Cleaners, Labourers & Related Workers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 22% of occupations · V7 structural score
Raw scores
AIOE -1.630 · θ 0.633 · C-AIOE -1.389
Stability
watch · Optimistic 0% · Pessimistic 9%
Score range (best/worst case)
Exposure 5–11% · Net risk 2.48–5.90%
Scoring basis
V7 structural score. Uses task-concentration-weighted exposure, human bottleneck, and demand resilience. V6 baseline fields are retained for release-to-release comparison.-0.5pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 1,400 · Median 1,600 · 75th 2,022
Evidence & sources
Data matching
direct · SSOC 91210
Real-world AI usage: +12% vs estimated
Data quality
88% · Matching 1.00 · Market data 0.70 · Freshness 0.84
95% weighted task match · 0% effective coverage
AI overlap by data 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.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
Workflow dimensions (0 = low, 1 = high)
How this changes by career stage
Senior workers benefit from institutional knowledge and judgment that AI cannot replicate. Entry-level roles have higher task overlap with AI.
Frequently asked questions
Will AI replace Hand launderer/presser (non-household)?
Hand launderer/presser (non-household) has 8% AI task overlap and 18% human bottleneck protection — lower risk than 78% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 4% (Very Low). Median wage: SGD 1,600/month.
What is the AI risk score for Hand launderer/presser (non-household)?
Hand launderer/presser (non-household) has an AI displacement risk of 4%, rated Very Low. AI task overlap: 8%. Human advantage: 18%. Local demand buffer: 64%.
What career transitions are available for Hand launderer/presser (non-household)?
Hand launderer/presser (non-household) has modeled transition pathways to related occupations. The strongest adjacent pathway is Motor vehicle cleaner/polisher, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Hand launderer/presser (non-household) salary compare in the live market?
Hand launderer/presser (non-household) earns a median gross wage of SGD 1,600/month in the live market (25th-75th percentile: SGD 1,400-2,022). This is 64% below median across all 562 scored occupations, and 17% below group median within Cleaners, Labourers & Related Workers occupations.