Tea server/steward (excluding bartender, barista and food/drink stall assistant)
AI displacement risk
13%
Range 4.94–21%
Tea server/steward (excluding bartender, barista and food/drink stall assistant) has 22% AI task overlap and 6% human bottleneck protection — lower risk than 52% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Cleaners, Labourers & Related Workers·SGD 1,725/mo (1,570–2,084)·~8.9K 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
22% of tasks overlap with current AI
6% human advantage from judgment & presence
63% demand buffer from the local labour market
AI usage 28pp above theoretical exposure
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 22% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Tea server/steward (excluding bartender, barista and food/drink stall assistant) tasks most exposed include: reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.
- • Place food servings on plates or trays according to orders or instructions.
- • Clean or sterilize dishes, kitchen utensils, equipment, or facilities.
- • Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 6% human bottleneck protection, the tasks that remain hardest to automate for Tea server/steward (excluding bartender, barista and food/drink stall assistant) 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), Pizzinelli et al. bottleneck model. Full methodology.
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
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Tea server/steward (excluding bartender, barista and food/drink stall assistant) 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 Cleaners, Labourers & Related Workers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 48% of occupations · V7 structural score
Raw scores
AIOE -0.641 · θ 0.586 · C-AIOE -0.577
Stability
watch · Optimistic 9% · Pessimistic 20%
Score range (best/worst case)
Exposure 8–35% · Net risk 4.94–21%
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.-1.5pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 1,570 · Median 1,725 · 75th 2,084
Evidence & sources
Data matching
direct · SSOC 94104
Real-world AI usage: +28% vs estimated
Data quality
47% · Matching 0.00 · Market data 0.70 · Freshness 0.80
100% weighted task match · 0% effective coverage
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
Conflicting data signals
Worker profile & local context
- Vacancy rate is 2.8% and rose by 0.8 points from last quarter.
- Hiring read: recruitment is running above resignation (2.4% vs 1.5%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 78.1% of retrenched workers re-entered employment within 12 months.
Worker profile
Gender mix
32% male / 68% femalePublished Singapore worker composition for the detailed occupation family 94 Food Preparation & Kitchen Assistants.
Employment structure
Employee-heavy96% employees, 4% employers or self-employed workers.
Work arrangement
Part-time meaningful33% part-time and 67% full-time in 2025.
Age profile
Older-skewing5% aged 15 to 29, 14% aged 30 to 49, and 81% aged 50 or older.
Qualification mix
Non-degree heavyBelow secondary 56%; Secondary 18%.
Gross wage by sex
Female median 37% lowerPublished June 2024 gross wage medians: male $2,656, female $1,670.
Where this work is concentrated
Top planning areas
Jurong West, Woodlands, Bedok22% 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 32.8 minutes. 27% 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 Tea server/steward (excluding bartender, barista and food/drink stall assistant)?
Tea server/steward (excluding bartender, barista and food/drink stall assistant) has 22% AI task overlap and 6% human bottleneck protection — lower risk than 52% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 13% (Low). Median wage: SGD 1,725/month.
What is the AI risk score for Tea server/steward (excluding bartender, barista and food/drink stall assistant)?
Tea server/steward (excluding bartender, barista and food/drink stall assistant) has an AI displacement risk of 13%, rated Low. AI task overlap: 22%. Human advantage: 6%. Local demand buffer: 63%.
What career transitions are available for Tea server/steward (excluding bartender, barista and food/drink stall assistant)?
Tea server/steward (excluding bartender, barista and food/drink stall assistant) has modeled transition pathways to related occupations. The strongest adjacent pathway is Undertaker, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Tea server/steward (excluding bartender, barista and food/drink stall assistant) salary compare in the live market?
Tea server/steward (excluding bartender, barista and food/drink stall assistant) earns a median gross wage of SGD 1,725/month in the live market (25th-75th percentile: SGD 1,570-2,084). This is 62% below median across all 562 scored occupations, and 11% below group median within Cleaners, Labourers & Related Workers occupations.