Bank teller
AI displacement risk
44%
Range 32.58–54.79%
Bank teller has 67% AI task overlap with only 19% human bottleneck protection — higher risk than 90% of occupations in the live market. Structural displacement pressure is significant.
Clerical Support Workers·SGD 3,965/mo (3,194–4,560)·~3.8K 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
67% of tasks overlap with current AI
19% human advantage from judgment & presence
37% demand buffer from the local labour market
AI usage 13pp below 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 67% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Bank teller tasks most exposed include: data entry, invoice processing, appointment scheduling, document filing, and standard correspondence drafting.
- • Perform clerical tasks, such as typing, filing, and microfilm photography.
- • Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines.
- • Receive checks and cash for deposit, verify amounts, and check accuracy of deposit slips.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 19% human bottleneck protection, the tasks that remain hardest to automate for Bank teller include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.
Main insulation channels: High-stakes decisions + Non-routine work — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
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
Bank teller 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
Risk-reducingHigh displacement pressure, but comparatively credible risk-reducing moves exist — the strongest scores 66% match. Escape-route quality, not pressure alone, shapes how risk resolves.
Compare within Clerical Support Workers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 90% of occupations · V7 structural score
Raw scores
AIOE 0.473 · θ 0.635 · C-AIOE 0.402
Stability
watch · Optimistic 39% · Pessimistic 51%
Score range (best/worst case)
Exposure 52–81% · Net risk 32.58–54.79%
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 3,194 · Median 3,965 · 75th 4,560
Evidence & sources
Data matching
direct · SSOC 42111
Real-world AI usage: -13% vs estimated
Data quality
76% · Matching 1.00 · Market data 0.70 · Freshness 0.84
Capped at high · Final rating: medium · capped for conflicting signals
100% weighted task match · 2% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Conflicting data signals
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.
- Employer pressure is moderate, based on 3 recent Singapore-relevant company signals.
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
Near parityPublished June 2024 gross wage medians: male $3,790, female $3,977.
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.
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 Bank teller?
Bank teller has 67% AI task overlap with only 19% human bottleneck protection — higher risk than 90% of occupations in the live market. Structural displacement pressure is significant. Net displacement risk: 44% (High). Median wage: SGD 3,965/month.
What is the AI risk score for Bank teller?
Bank teller has an AI displacement risk of 44%, rated High. AI task overlap: 67%. Human advantage: 19%. Local demand buffer: 37%.
What career transitions are available for Bank teller?
Bank teller has modeled transition pathways to related occupations. The strongest adjacent pathway is Money changer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Bank teller salary compare in the live market?
Bank teller earns a median gross wage of SGD 3,965/month in the live market (25th-75th percentile: SGD 3,194-4,560). This is 12% below median across all 562 scored occupations, and 24% above group median within Clerical Support Workers occupations.