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AI Work Index

AI displacement pressure

12%

Low Risk

Electronic equipment/component assembler

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StablePlant & Machine Operators & AssemblersNo shortage listingClassification uncertain

Electronic equipment/component assembler has 17% AI task overlap and 10% human bottleneck protection — lower risk than 54% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.

SGD 2,017/mo (1,847–2,520)~700 workers in SGUpdated 2026-04-09
Wage: 24% below group median Risk: 5pp above group median #4 of 33 in Plant & Machine Operators & Assemblers →

Why This Score

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 17% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Electronic equipment/component assembler tasks most exposed include: predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.

What AI can't do here

At 10% human bottleneck protection, the tasks that remain hardest to automate for Electronic equipment/component assembler include: 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

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.

CreativeAmbiguityInstitutionalRelationshipsRegulatoryPhysicalCoordinationTool Speed

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

Transportation & Storage
66%
Wholesale & Retail Trade
9%
Administrative & Support Services
2%

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.

Junior / Entry-level Higher AI displacement risk
Mid-career Standard risk profile
Senior / Lead More protected by experience

What You Can Do

Frequently asked questions

Will AI replace Electronic equipment/component assembler?

Electronic equipment/component assembler has 17% AI task overlap and 10% human bottleneck protection — lower risk than 54% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 12% (Low). Median wage: SGD 2,017/month.

What is the AI risk score for Electronic equipment/component assembler?

Electronic equipment/component assembler has an AI displacement risk of 12%, rated Low. AI task overlap: 17%. Human advantage: 10%. Local demand buffer: 36%.

What career transitions are available for Electronic equipment/component assembler?

Electronic equipment/component assembler has modeled transition pathways to related occupations. The strongest adjacent pathway is Supervisor/General foreman of assemblers and quality checkers, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.

How does Electronic equipment/component assembler salary compare in the live market?

Electronic equipment/component assembler earns a median gross wage of SGD 2,017/month in the live market (25th-75th percentile: SGD 1,847-2,520). This is 55% below median across all 562 scored occupations, and 24% below group median within Plant & Machine Operators & Assemblers occupations.