Relief teacher
AI displacement risk
20%
Range 16.02–24.82%
Relief teacher has 90% AI task overlap but 70% human bottleneck protection — lower risk than 35% of occupations in the live market. AI is more likely to enhance this role than replace it.
Associate Professionals & Technicians·SGD 2,765/mo (1,732–3,332)·~6.2K 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.
Thin evidence — treat with caution.
Why This Score
90% of tasks overlap with current AI
70% human advantage from judgment & presence
43% demand buffer from the local labour market
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. How this works
Tasks AI can handle
With 90% AI task overlap (based on Felten AIOE), the Relief teacher tasks most exposed include: generating lesson plans, creating quizzes and practice exercises, summarizing curricula, personalizing reading lists, and grading objective assessments.
What AI can't do here
At 70% human bottleneck protection, the tasks that remain hardest to automate for Relief teacher include: motivating students, adapting to emotional and social dynamics in the classroom, mentoring, handling behavioral issues, and assessing creative or nuanced work.
Skills to focus on
Sources: Felten AIOE (2021), 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
Relief teacher 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
Similarity-basedCompare within Associate Professionals & Technicians
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 65% of occupations · V7 structural score
Raw scores
AIOE 1.325 · θ 0.706 · C-AIOE 1.032
Stability
stable · Optimistic 17% · Pessimistic 27%
Score range (best/worst case)
Exposure 90–90% · Net risk 16.02–24.82%
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.-1.1pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 1,732 · Median 2,765 · 75th 3,332
Evidence & sources
Data matching
submajor_fallback · SSOC 36991
Data quality
42% · Matching 0.60 · Market data 0.70 · Freshness 0.55
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 100%
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.
Worker profile
Gender mix
16% male / 84% femalePublished Singapore worker composition for the detailed occupation family 36 Teaching Associate Professionals.
Employment structure
Employee-heavy87% employees, 13% employers or self-employed workers.
Work arrangement
Mostly full-time9% part-time and 91% full-time in 2025.
Age profile
Mid-career heavy17% aged 15 to 29, 52% aged 30 to 49, and 31% aged 50 or older.
Qualification mix
Diploma-heavyDegree 37%; Diploma / professional qualification 35%.
Where this work is concentrated
Top planning areas
Jurong West, Woodlands, Tampines22% 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 38.7 minutes. 36% 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 Relief teacher?
Relief teacher has 90% AI task overlap but 70% human bottleneck protection — lower risk than 35% of occupations in the live market. AI is more likely to enhance this role than replace it. Net displacement risk: 20% (Moderate). Median wage: SGD 2,765/month.
What is the AI risk score for Relief teacher?
Relief teacher has an AI displacement risk of 20%, rated Moderate. AI task overlap: 90%. Human advantage: 70%. Local demand buffer: 43%.
What career transitions are available for Relief teacher?
Relief teacher has modeled transition pathways to related occupations. The strongest adjacent pathway is Private tutor (academic), based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Relief teacher salary compare in the live market?
Relief teacher earns a median gross wage of SGD 2,765/month in the live market (25th-75th percentile: SGD 1,732-3,332). This is 39% below median across all 562 scored occupations, and 33% below group median within Associate Professionals & Technicians occupations.