AI displacement pressure
20%
Moderate RiskBell captain
Bell captain has 35% AI task overlap and 11% human bottleneck protection — lower risk than 36% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Why This Score
35% of tasks overlap with current AI
11% human advantage from judgment & presence
65% demand buffer from the local labour market
AI usage 22pp 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. How this works
Tasks AI can handle
With 35% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Bell captain tasks most exposed include: predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.
What AI can't do here
At 11% human bottleneck protection, the tasks that remain hardest to automate for Bell captain include: physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.
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
Bell captain 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 64% of occupations
Raw scores
AIOE -0.739 · θ 0.607 · C-AIOE -0.649
Stability
stable · Optimistic 16% · Pessimistic 28%
Score range (best/worst case)
Exposure 25–44% · Net risk 14.17–24.78%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 2,284 · Median 2,427 · 75th 2,720
Evidence & sources
Data matching
direct · SSOC 96211
Real-world AI usage: +22% vs estimated
Data quality
70% · Matching 0.48 · Market data 0.65 · 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%
Conflicting data signals
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
47% male / 53% femalePublished Singapore worker composition for the detailed occupation family 96 Waste Collection, Recycling & Material Recovery Workers & Other Elementary 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%.
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 Bell captain?
Bell captain has 35% AI task overlap and 11% human bottleneck protection — lower risk than 36% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 20% (Moderate). Median wage: SGD 2,427/month.
What is the AI risk score for Bell captain?
Bell captain has an AI displacement risk of 20%, rated Moderate. AI task overlap: 35%. Human advantage: 11%. Local demand buffer: 65%.
What career transitions are available for Bell captain?
Bell captain has modeled transition pathways to related occupations. The strongest adjacent pathway is Building caretaker/Watchman, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Bell captain salary compare in the live market?
Bell captain earns a median gross wage of SGD 2,427/month in the live market (25th-75th percentile: SGD 2,284-2,720). This is 46% below median across all 562 scored occupations, and 26% above group median within Cleaners, Labourers & Related Workers occupations.