Translator
AI Exposure Rank
99/100
Range 95–99/100 across source-weight sensitivity checks
Translator has an AI Exposure Rank of 99/100, meaning its work is more exposed to current AI capabilities than approximately 99% of Singapore occupations. The evidence currently points to hiring or substitution pressure; this is a relative rank, not a probability of job loss.
Professionals·SGD 6,456/mo (4,776–8,924)·~1.8K 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
92% of tasks overlap with current AI
66% human advantage from judgment & presence
47% demand buffer from the local labour market
AI usage 18pp 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 92% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Translator tasks most exposed include: first-draft writing, summarizing documents, headline variations, background research, and social media copy generation.
- • Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.
- • Read written materials, such as legal documents, scientific works, or news reports, and rewrite material into specified languages.
- • Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 66% human bottleneck protection, the tasks that remain hardest to automate for Translator include: source development, investigative interviewing, editorial judgment, fact-checking in ambiguous situations, and ethical/legal calls on publication.
Main insulation channels: High-stakes decisions + Deep preparation — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
Noy & Zhang (2023) found writing professionals using AI completed tasks 37% faster with no quality loss — but the gap between experienced and novice writers narrowed significantly.
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 and re-entry are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 3.1% YoY
Hiring
1.5%
vs 0.9% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
67.7%
find work in 12mo· -5.3pp
Professionals, Managers, Executives & Technicians · 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
Translator has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Exposure-reducingHigher AI exposure, but comparatively credible exposure-reducing moves exist — the strongest scores 77% match. Escape-route quality and labour demand matter alongside exposure.
Compare within Professionals
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 1.111 · θ 0.696 · C-AIOE 0.878
Stability
stable · Optimistic 19% · Pessimistic 30%
Score range (best/worst case)
Exposure sensitivity 86–96% · Rank sensitivity 95–99/100 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 4,776 · Median 6,456 · 75th 8,924
Evidence & sources
Data matching
direct · SSOC 26431
Real-world AI usage: +18% vs estimated
Data quality
medium evidence · 4 exposure sources · direct mapping
100% weighted task match · 18% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Tools & offset factors
What helps
- A meaningful share of the work can likely be reorganized around AI rather than removed outright.
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 was essentially flat versus last quarter.
- Hiring read: recruitment is running above resignation (1.5% vs 0.9%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 67.7% of retrenched workers re-entered employment within 12 months.
- Employer pressure is low, based on 2 recent Singapore-relevant company signals.
Worker profile
Gender mix
38% male / 62% femalePublished Singapore worker composition for the detailed occupation family 26 Legal, Social, Religious & Cultural Professionals.
Employment structure
Employee-heavy96% employees, 4% employers or self-employed workers.
Work arrangement
Mostly full-time4% part-time and 96% full-time in 2025.
Age profile
Mid-career heavy14% aged 15 to 29, 62% aged 30 to 49, and 24% aged 50 or older.
Qualification mix
Degree-heavyDegree 81%; Diploma / professional qualification 15%.
Gross wage by sex
Female median 13% lowerPublished June 2024 gross wage medians: male $7,166, female $6,217.
Where this work is concentrated
Top planning areas
Sengkang, Bedok, Tampines19% of workers in this occupation group live in these three planning areas.
Residential concentration
Broadly distributed30% live across the top five planning areas in the 2020 Census.
Commute pattern
Mid-range commutesEstimated average commute 37.5 minutes. 33% 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 Translator?
Translator has an AI Exposure Rank of 99/100, meaning its work is more exposed to current AI capabilities than approximately 99% of Singapore occupations. The evidence currently points to hiring or substitution pressure; this is a relative rank, not a probability of job loss. AI Exposure Rank: 99/100 (Very High). Median wage: SGD 6,456/month.
What is the AI exposure rank for Translator?
Translator has an AI Exposure Rank of 99/100, rated Very High. It ranks higher than approximately 99% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Translator?
Translator has modeled transition pathways to related occupations. The strongest adjacent pathway is Industrial and organisational psychologist, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Translator salary compare in the live market?
Translator earns a median gross wage of SGD 6,456/month in the live market (25th-75th percentile: SGD 4,776-8,924). This is 43% above median across all 562 scored occupations, and near group median within Professionals occupations.