Structural pressure
46%
High RiskHotel receptionist (including hotel reservation and front desk clerk)
Hotel receptionist (including hotel reservation and front desk clerk) faces significant structural AI displacement pressure. high exposure with few human bottlenecks to slow adoption.
Limited buffers available against the structural pressure. Mixed signals across sources.
Why This Score
70% of tasks overlap with current AI
25% human advantage from judgment & presence
37% demand buffer from SG labour market
AI usage 27pp above theoretical exposure
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
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
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.
Workflow dimensions (0 = low, 1 = high)
Singapore Now
Cooling, but not collapsing. Vacancies are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 11.4% YoY
Hiring
2.6%
vs 1.6% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
78.5%
find work in 12mo· -1.6pp
Clerical, Sales & Service Workers · Q4 2025 full
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
What You Can Do
Hotel receptionist (including hotel reservation and front desk clerk) 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
Adjacent pathways to investigate
Similarity-basedSee how this compares to similar occupations
Compare with... →Classification
Higher risk than 87% of occupations· Polytechnic / ITE Diploma
Raw scores
AIOE 0.542 · θ 0.643 · C-AIOE 0.436
Stability
watch · Optimistic 40% · Pessimistic 51%
Sensitivity band
Exposure 62–78% · Net risk 39.07–52.77%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 2,076 · Median 2,687 · 75th 3,379
Evidence & sources
Crosswalk
direct · SSOC 42242
Anthropic: +27pp vs theory
Evidence quality
60% · Crosswalk 0.33 · Market 0.70 · Fresh 0.84
100% weighted task match · 32% effective coverage
Exposure by source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Signal conflicts
Tools & offset factors
What helps
- Nearby moves and published transition support look reasonably strong.
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
Worker profile & local context
- Vacancy rate is 3.1% and fell by 0.2 points from last quarter.
- Hiring read: recruitment is running above resignation (2.6% vs 1.6%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 78.5% of retrenched workers re-entered employment within 12 months.
Worker profile
Gender mix
24% male / 76% femalePublished Singapore worker composition for the detailed occupation family 42 Customer Services Officers & Clerks.
Employment structure
Employee-heavy99% employees, 1% employers or self-employed workers.
Work arrangement
Mostly full-time13% part-time and 87% full-time in 2025.
Age profile
Older-skewing16% aged 15 to 29, 35% aged 30 to 49, and 49% aged 50 or older.
Qualification mix
Mixed qualificationsSecondary 29%; Diploma / professional qualification 28%.
Gross wage by sex
Female median 6% lowerPublished June 2024 gross wage medians: male $2,800, female $2,638.
Where this work is concentrated
Top planning areas
Jurong West, Tampines, Woodlands22% 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
Longer commutesEstimated average commute 39.7 minutes. 38% take 46 minutes or more.