AI displacement pressure
3%
Very Low RiskWarehouse worker
Warehouse worker has 7% AI task overlap and 23% human bottleneck protection — lower risk than 81% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Why This Score
7% of tasks overlap with current AI
23% human advantage from judgment & presence
65% demand buffer from the local labour market
AI usage 13pp 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 7% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Warehouse worker tasks most exposed include: demand forecasting, route optimization, inventory tracking, order processing automation, and supplier performance dashboards.
What AI can't do here
At 23% human bottleneck protection, the tasks that remain hardest to automate for Warehouse worker include: managing supplier relationships, handling disruptions in real time, negotiating contracts, quality assurance for non-standard goods, and adapting logistics to local regulations.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (2023), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
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)
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.
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.
What You Can Do
Warehouse worker 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 19% of occupations
Raw scores
AIOE -1.709 · θ 0.641 · C-AIOE -1.443
Stability
watch · Optimistic 0% · Pessimistic 8%
Score range (best/worst case)
Exposure 4–10% · Net risk 1.76–4.78%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 2,070 · Median 2,458 · 75th 3,114
Evidence & sources
Data matching
direct · SSOC 93334
Real-world AI usage: +13% vs estimated
Data quality
88% · Matching 1.00 · Market data 0.70 · Freshness 0.84
Task-weighted shadow evidence is not active for this occupation yet.
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 moderate, based on 7 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
Female median 6% lowerPublished June 2024 gross wage medians: male $2,500, female $2,350.
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.
Frequently asked questions
Will AI replace Warehouse worker?
Warehouse worker has 7% AI task overlap and 23% human bottleneck protection — lower risk than 81% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 3% (Very Low). Median wage: SGD 2,458/month.
What is the AI risk score for Warehouse worker?
Warehouse worker has an AI displacement risk of 3%, rated Very Low. AI task overlap: 7%. Human advantage: 23%. Local demand buffer: 65%.
What career transitions are available for Warehouse worker?
Warehouse worker has modeled transition pathways to related occupations. The strongest adjacent pathway is Transport/Technical operations manager (except port/shipping operations), based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Warehouse worker salary compare in the live market?
Warehouse worker earns a median gross wage of SGD 2,458/month in the live market (25th-75th percentile: SGD 2,070-3,114). This is 45% below median across all 562 scored occupations, and 27% above group median within Cleaners, Labourers & Related Workers occupations.