AI Work Index

Structural pressure

5%

Very Low Risk

Likely range

3–7%

Housekeeping matron

Service & Sales Workers · SGD 3,491/mo (22% below median)

This model suggests AI is more likely to enhance Housekeeping matron than replace it. moderate exposure, but strong human bottlenecks mean AI augments rather than substitutes.

Compare
Augmented Medium Confidence
Polytechnic / ITE Diploma Higher risk than 19% of occupations
Pressure 5%
Market 64%
Confidence 69%
Human Moat High
Evidence
3/4 sources Sources diverge Contested

Why This Score

AI Capability Overlap Increases risk

35% of tasks overlap with current AI

Human Coordination Reduces risk

82% human advantage from judgment & presence

Local Hiring Demand Reduces risk

64% demand buffer from SG labour market

Observed AI Adoption Increases risk

AI usage 40pp above theoretical exposure

These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.

Net Displacement Risk 5%

Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works

Tasks AI can handle

Reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.

Where humans stay essential

Genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.

Skills to focus on

Emotional IntelligenceConflict De-escalationCultural SensitivityExperience Crafting

Common tools in similar work

FacebookMicrosoft WindowsComputerized bed control system softwareComputerized maintenance management system CMMS

Derived from matched O*NET technology-skill profiles.

Singapore Reality

Current Singapore signal

Labour now, industry footprint, and a directional 12-month read.

Watch market

The Clerical, Sales & Service Workers labour market is under pressure. Vacancy rate is 3.1% and fell by 0.2 points from last quarter. recruitment is running above resignation (2.6% vs 1.6%).

Vacancy rate

3.1%

↓ 11.4% year-on-year

Hiring balance

2.6%

recruit vs 1.6% resign

Retrenchment

1.5 per 1,000

Low incidence

Clerical, Sales & Service Workers data · Q4 2025 full

Top Industries

Where this work is concentrated

Accommodation & Food Services

64.3K

→ stable

Top 3 vacancy sector

26%

Wholesale & Retail Trade

60.6K

↓ cooling

Top 5 vacancy sector

25%

Administrative & Support Services

31.4K

↓ cooling

13%

Industry vacancy overlays use the latest published detailed cross-tab (2025 QQ), which can lag the main labour monitor.

12-Month Outlook

Rule-based, not a prediction

Stable
Displacement Resilient
Augmentation At Risk
Demand Watch
Wage Pressure Resilient

Methodology

What To Do Next

Offset potential: Medium Separate from the core score. This estimates how much demand, redesign room, and transition support could cushion pressure.

Housekeeping matron has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.

Demand support: Low Transition support: High Reallocation room: High Switching friction: High

What helps

  • Nearby moves and published transition support look reasonably strong.
  • A meaningful share of the work can likely be reorganized around AI rather than removed outright.

What could slow it down

  • Current demand support is thin, so offsets may take longer to show up.

See how this compares to similar occupations

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Structural AI exposure scores, not employment predictions. Methodology

V4.1 structural score · 2024 wages · Q4 2025 full live monitor · 562 occupations · 88 roles

Latest official labour release: MOM Labour Market Report Q4 2025 (2026-03-20)

Made by Kirill So · Built with Claude & GPT
MIT Licensed · Open Source · Structural release V4.1 · Updated 2026-03-20