Captain waiter/Waiter supervisor
AI displacement risk
12%
Range 9.43–14.63%
Captain waiter/Waiter supervisor has 20% AI task overlap and 5% human bottleneck protection — lower risk than 55% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Service & Sales Workers·SGD 2,837/mo (2,024–3,473)·~3.0K 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.
Why This Score
20% of tasks overlap with current AI
5% human advantage from judgment & presence
56% demand buffer from the local labour market
AI usage 4pp below theoretical exposure
On the Jobs in Demand list — government recognises hiring need
These factors interact with each other — the final score is not a simple sum of these bars.
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 20% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Captain waiter/Waiter supervisor tasks most exposed include: reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.
- • Collect payments from customers.
- • Check patrons' identification to ensure that they meet minimum age requirements for consumption of alcoholic beverages.
- • Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 5% human bottleneck protection, the tasks that remain hardest to automate for Captain waiter/Waiter supervisor include: genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.
Main insulation channels: Non-routine work + High-stakes decisions — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
Brynjolfsson et al. (2023) found customer service agents using AI saw +14% productivity, with the biggest gains among junior workers — AI compressed the experience gap.
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
Singapore Now
Current labour market conditions and how they affect this role.
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 · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Captain waiter/Waiter supervisor 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
Related roles you could transition to
Similarity-basedCompare within Service & Sales Workers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 45% of occupations · V7 structural score
Raw scores
AIOE -0.573 · θ 0.585 · C-AIOE -0.516
Stability
watch · Optimistic 8% · Pessimistic 18%
Score range (best/worst case)
Exposure 16–24% · Net risk 9.43–14.63%
Scoring basis
V7 structural score. Uses task-concentration-weighted exposure, human bottleneck, and demand resilience. V6 baseline fields are retained for release-to-release comparison.-0.9pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 2,024 · Median 2,837 · 75th 3,473
Evidence & sources
Data matching
direct · SSOC 51311
Jobs in Demand: prefix match
Real-world AI usage: -4% vs estimated
Data quality
87% · Matching 0.91 · Market data 0.75 · Freshness 0.84
100% weighted task match · 0% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Tools & offset factors
What helps
- Nearby moves and published transition support look reasonably strong.
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
38% male / 62% femalePublished Singapore worker composition for the detailed occupation family 51 Personal Service Workers.
Employment structure
Employee-heavy91% employees, 9% employers or self-employed workers.
Work arrangement
Part-time meaningful24% part-time and 76% full-time in 2025.
Age profile
Older-skewing17% aged 15 to 29, 32% aged 30 to 49, and 51% aged 50 or older.
Qualification mix
Non-degree heavySecondary 26%; Post-secondary 25%.
Gross wage by sex
Female median 9% lowerPublished June 2024 gross wage medians: male $3,000, female $2,744.
Where this work is concentrated
Top planning areas
Woodlands, Tampines, Yishun22% 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
Mid-range commutesEstimated average commute 33.8 minutes. 28% take 46 minutes or more.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
Workflow dimensions (0 = low, 1 = high)
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.
Frequently asked questions
Will AI replace Captain waiter/Waiter supervisor?
Captain waiter/Waiter supervisor has 20% AI task overlap and 5% human bottleneck protection — lower risk than 55% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 12% (Low). Median wage: SGD 2,837/month.
What is the AI risk score for Captain waiter/Waiter supervisor?
Captain waiter/Waiter supervisor has an AI displacement risk of 12%, rated Low. AI task overlap: 20%. Human advantage: 5%. Local demand buffer: 56%.
What career transitions are available for Captain waiter/Waiter supervisor?
Captain waiter/Waiter supervisor has modeled transition pathways to related occupations. The strongest adjacent pathway is Bartender/Mixologist, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Captain waiter/Waiter supervisor salary compare in the live market?
Captain waiter/Waiter supervisor earns a median gross wage of SGD 2,837/month in the live market (25th-75th percentile: SGD 2,024-3,473). This is 37% below median across all 562 scored occupations, and 5% below group median within Service & Sales Workers occupations.