Structural pressure
6%
Low RiskHand packer
This model suggests AI is unlikely to significantly disrupt Hand packer. low exposure with limited overlap across core tasks.
Limited buffers available against the structural pressure.
Why This Score
9% of tasks overlap with current AI
13% human advantage from judgment & presence
53% 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 packer 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-basedMover →
Aircraft loader (e.g. airport baggage/cargo handler) →
Vehicle attendant →
See 5 more
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 22% of occupations· GCE O-Level / Secondary
Raw scores
AIOE -1.611 · θ 0.608 · C-AIOE -1.353
Stability
watch · Optimistic 0% · Pessimistic 12%
Sensitivity band
Exposure 4–12% · Net risk 3.15–8.73%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 1,538 · Median 1,600 · 75th 1,906
Evidence & sources
Crosswalk
direct · SSOC 93201
Anthropic: +12pp vs theory
Evidence quality
78% · Crosswalk 0.75 · Market 0.70 · Fresh 0.80
100% weighted task match · 0% effective coverage
Exposure by source
Weights: aioe 32% · anthropic 35% · eloundou 33%
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
58% male / 42% femalePublished Singapore worker composition for the detailed occupation family 93 Labourers & 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
Near parityPublished June 2024 gross wage medians: male $1,634, 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.