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AI Work Index

Hospital/Clinic attendant

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AI displacement risk

16%

Moderate

Range 9.94–22.78%

Hospital/Clinic attendant has 32% AI task overlap and 24% human bottleneck protection — lower risk than 44% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.

StableClassification uncertain

Cleaners, Labourers & Related Workers·SGD 2,459/mo (2,138–2,817)·~1.4K workers in SG·Updated 2026-06-11

Structural pressure, not a prediction of job loss. Displacement tends to arrive through slower hiring, wage compression and role redesign before layoffs.

Wage 27% above group median Risk 12pp above group median #6 of 40 in Cleaners, Labourers & Related Workers →
01

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 32% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Hospital/Clinic attendant tasks most exposed include: predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.

  • • Interview patients to obtain comprehensive medical histories.
  • • Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in neuropsychology.
  • • Interview patients to obtain comprehensive medical histories.

O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).

What AI can't do here

At 24% human bottleneck protection, the tasks that remain hardest to automate for Hospital/Clinic attendant include: physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.

Main insulation channels: Relational work + Physical presence — the work-context dimensions behind this occupation's human bottleneck.

Skills to focus on

Hands-On ExpertiseOn-Site Problem SolvingSafety ProtocolsEquipment Proficiency

Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), Pizzinelli et al. bottleneck model. Full methodology.

02

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

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.

03

What You Can Do

Frequently asked questions

Will AI replace Hospital/Clinic attendant?

Hospital/Clinic attendant has 32% AI task overlap and 24% human bottleneck protection — lower risk than 44% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 16% (Moderate). Median wage: SGD 2,459/month.

What is the AI risk score for Hospital/Clinic attendant?

Hospital/Clinic attendant has an AI displacement risk of 16%, rated Moderate. AI task overlap: 32%. Human advantage: 24%. Local demand buffer: 56%.

What career transitions are available for Hospital/Clinic attendant?

Hospital/Clinic attendant has modeled transition pathways to related occupations. The strongest adjacent pathway is Sports and recreational attendant (e.g. golf marshal, golf caddie, fun fair attendant, bowling alley attendant, swimming, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.

How does Hospital/Clinic attendant salary compare in the live market?

Hospital/Clinic attendant earns a median gross wage of SGD 2,459/month in the live market (25th-75th percentile: SGD 2,138-2,817). This is 45% below median across all 562 scored occupations, and 27% above group median within Cleaners, Labourers & Related Workers occupations.