Typist and word processing operator
AI Exposure Rank
100/100
Range 100–100/100 across source-weight sensitivity checks
Typist and word processing operator has an AI Exposure Rank of 100/100, meaning its work is more exposed to current AI capabilities than approximately 100% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.
Clerical Support Workers·SGD 2,803/mo (2,160–3,800)·~19.4K workers in SG·Updated 2026-06-11
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
Why This Score
99% of tasks overlap with current AI
15% human advantage from judgment & presence
38% demand buffer from the local labour market
AI usage 1pp above theoretical exposure
These factors interact with each other — the final score is not a simple sum of these bars.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works
Tasks AI can handle
With 99% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Typist and word processing operator tasks most exposed include: data entry, invoice processing, appointment scheduling, document filing, and standard correspondence drafting.
- • Search for specific sets of stored, typed characters to make changes.
- • Use data entry devices, such as optical scanners, to input data into computers for revision or editing.
- • Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 15% human bottleneck protection, the tasks that remain hardest to automate for Typist and word processing operator include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.
Main insulation channels: Deep preparation + 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
Typist and word processing operator 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
Exposure-reducingThis occupation has higher relative AI exposure, and its best adjacent move ranks in the weakest quarter of exposure-reducing options. Mobility outcomes also depend on demand, wages, skills and access to credible transitions. See all occupations in this quadrant.
Compare within Clerical Support Workers
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 99% of occupations · V8 AI Exposure Rank· University Degree
Raw scores
AIOE 1.390 · θ 0.624 · C-AIOE 1.198
Stability
stable · Optimistic 62% · Pessimistic 76%
Score range (best/worst case)
Exposure sensitivity 97–99% · Rank sensitivity 100–100/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
Wage range (SGD/mo)
25th 2,160 · Median 2,803 · 75th 3,800
Evidence & sources
Data matching
direct · SSOC 41310
Real-world AI usage: +1% vs estimated
Data quality
high evidence · 4 exposure sources · direct mapping
100% weighted task match · 22% 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
20% male / 80% femalePublished Singapore worker composition for the detailed occupation family 41 General & Keyboard 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%.
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
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
Frequently asked questions
Will AI replace Typist and word processing operator?
Typist and word processing operator has an AI Exposure Rank of 100/100, meaning its work is more exposed to current AI capabilities than approximately 100% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 100/100 (Very High). Median wage: SGD 2,803/month.
What is the AI exposure rank for Typist and word processing operator?
Typist and word processing operator has an AI Exposure Rank of 100/100, rated Very High. It ranks higher than approximately 100% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Typist and word processing operator?
Typist and word processing operator has modeled transition pathways to related occupations. The strongest adjacent pathway is Material planning clerk, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Typist and word processing operator salary compare in the live market?
Typist and word processing operator earns a median gross wage of SGD 2,803/month in the live market (25th-75th percentile: SGD 2,160-3,800). This is 38% below median across all 562 scored occupations, and 12% below group median within Clerical Support Workers occupations.