Structural pressure
9%
Low RiskLikely range
4–13%
Teaching assistant/Tutor in university
Professionals · SGD 5,800/mo (29% above median)
This model suggests AI is more likely to enhance Teaching assistant/Tutor in university than replace it. moderate exposure, but strong human bottlenecks mean AI augments rather than substitutes.
Why This Score
62% of tasks overlap with current AI
83% human advantage from judgment & presence
44% demand buffer from SG labour market
AI usage 8pp below theoretical exposure
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works
Tasks AI can handle
Generating lesson plans, creating quizzes and practice exercises, summarizing curricula, personalizing reading lists, and grading objective assessments.
Where humans stay essential
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
Common tools in similar work
Derived from matched O*NET technology-skill profiles.
Singapore Reality
Current Singapore signal
Labour now, industry footprint, and a directional 12-month read.
The Professionals, Managers, Executives & Technicians labour market is weak. Vacancy rate is 3.1% and was essentially flat versus last quarter. recruitment is running above resignation (1.5% vs 0.9%).
Vacancy rate
3.1%
↓ 3.1% year-on-year
Hiring balance
1.5%
recruit vs 0.9% resign
Retrenchment
1.5 per 1,000
Low incidence
Professionals, Managers, Executives & Technicians data · Q4 2025 full
Top Industries
Where this work is concentrated
Public Administration & Education Services
111.0K
Financial & Insurance Services
97.0K
↓ cooling
Professional Services
80.1K
→ stable
Top 4 vacancy sector
Industry vacancy overlays use the latest published detailed cross-tab (2025 QQ), which can lag the main labour monitor.
12-Month Outlook
Rule-based, not a prediction
What To Do Next
Teaching assistant/Tutor in university has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.
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.
Easier Switch
University lecturer 75%Technical/Vocational/Commercial education institute teacher and trainer 55%Early intervention teacher for infants and children 55%Lower Risk
Flying instructor (except air force) 63%School principal 53%Technical/Vocational/Commercial education institute teacher and trainer 55%University lecturer
easy transition · 75% match
Flying instructor (except air force)
moderate transition · 63% match
Technical/Vocational/Commercial education institute teacher and trainer
moderate transition · 55% match
Early intervention teacher for infants and children
moderate transition · 55% match
Insurance services manager
moderate transition · 55% match
Health services manager
moderate transition · 54% match
Information technology trainer (extracurriculum)
moderate transition · 54% match
Pre-school education manager
moderate transition · 53% match
See how this compares to similar occupations
Compare with... →Evidence
Crosswalk: direct · SSOC 23103
Anthropic: -8pp vs theory
Raw Scores
AIOE 1.349 · θ 0.726 · C-AIOE 0.974
Stability
watch · Optimistic 4% (Very Low) · Pessimistic 13% (Low)
Confidence
80% · Crosswalk 1.00 · Market 0.65 · Fresh 0.84
Wage (SGD/mo)
25th 4,500 · Median 5,800 · 75th 6,000