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AI Work Index

Structural pressure

13%

Low Risk

Odd job person

Stable Cleaners, Labourers & Related Workers
SGD 1,600/mo (1,600–1,800) ~1.1K workers in SG

This model suggests AI is unlikely to significantly disrupt Odd job person. low exposure with limited overlap across core tasks.

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Limited buffers available against the structural pressure.

Why This 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

Hands-On ExpertiseOn-Site Problem SolvingSafety ProtocolsEquipment Proficiency

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.

CreativeAmbiguityInstitutionalRelationshipsRegulatoryPhysicalCoordinationTool Speed

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

Public Administration & Education Services
31%
Administrative & Support Services
23%
Accommodation & Food Services
23%

Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.

How this changes by career stage

Junior / Entry-level Higher substitution exposure
Mid-career Baseline role profile
Senior / Lead More insulated

What You Can Do