Flying instructor (except air force)
AI Exposure Rank
16/100
Range 15–22/100 across source-weight sensitivity checks
Flying instructor (except air force) has an AI Exposure Rank of 16/100, meaning its work is more exposed to current AI capabilities than approximately 16% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.
Professionals·SGD 20,000/mo (8,050–30,000)·~4.0K workers in SG·Updated 2026-07-17
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
How This Rank Is Built
The source percentiles are combined using the displayed reliability weights, then ranked against all 562 Singapore occupations. This is not a percentage of tasks and not a job-loss probability.
Likely job pathway
Limited direct change
Current demand context
Mixed current demand
Pathway and demand are reported beside the exposure rank. Current demand does not change the rank.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works
Tasks AI can handle
With 21% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Flying instructor (except air force) 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 93% human bottleneck protection, the tasks that remain hardest to automate for Flying instructor (except air force) include: motivating students, adapting to emotional and social dynamics in the classroom, mentoring, handling behavioral issues, and assessing creative or nuanced work.
Main insulation channels: High-stakes decisions + Accountability for others — 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), Pizzinelli et al. bottleneck model. Full methodology.
From exposure to employment
What could change the employment outcome?
AI capability is only the starting point. Adoption, task design, human oversight, demand, mobility and evidence quality determine how exposure may resolve in practice.
Workplace adoption
Occupation-level adoption unknown
MOM does not publish a directly mappable adoption rate for the listed industries.
Task structure
Task evidence limited
Task-weighted shadow evidence is not active for this occupation yet.
Human advantage
Coordination and judgment still matter
At 93% human bottleneck protection, the tasks that remain hardest to automate for Flying instructor (except air force) include: motivating students, adapting to emotional and social dynamics in the classroom, mentoring, handling behavioral issues, and assessing creative or nuanced work.
Hiring and demand
3.4% vacancy rate · 2026 Q1
PMET vacancies increased from Q4 and remained below their year-ago level. Hiring stayed net positive but slowed, while retrenchment incidence remained the highest of the three broad occupation groups. In 2025, this broad occupation group had 0.9% time-related underemployment and 6.9% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed -0.8% to +2.3% from 2018 to 2023.
Career transitions
University lecturer
moderate modeled transition; outcomes still depend on skills, wages and openings.
Evidence strength
medium confidence
3 exposure sources · sensitivity 15–22/100 across source-weight sensitivity checks.
These lenses are reported separately and do not alter AI Exposure Rank. Labour-market figures describe a broad official occupation cluster, not this SSOC occupation alone.
Singapore Now
Current labour market conditions and how they affect this role.
Local conditions are under more strain. Vacancies have softened and displacement signals are less forgiving.
Vacancy
3.4%
↓ 2.9% YoY
Hiring
1.2%
vs 0.7% resign
Retrenchment
2.6
per 1,000 · moderate
Re-entry
69.1%
find work in 12mo· +1.4pp
Professionals, Managers, Executives & Technicians · 2026 Q1
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Flying instructor (except air force) 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 Professionals
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 16% of occupations · V8 AI Exposure Rank· University Degree
Raw scores
AIOE -0.194 · θ 0.772 · C-AIOE -0.139
Stability
stable · Optimistic 0% · Pessimistic 2%
Score range (best/worst case)
Exposure sensitivity 17–25% · Rank sensitivity 15–22/100 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 8,050 · Median 20,000 · 75th 30,000
Evidence & sources
Data matching
direct · SSOC 21723
Real-world AI usage: -12% vs estimated
Data quality
medium evidence · 3 exposure sources · direct mapping
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
Tools & offset factors
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 3.4% and rose by 0.3 points from last quarter.
- Hiring read: recruitment is running above resignation (1.2% vs 0.7%).
- Retrenchment was moderate at 2.6 per 1,000 employees.
- 69.1% of retrenched workers re-entered employment within 12 months.
Worker profile
Gender mix
69% male / 31% femalePublished Singapore worker composition for the detailed occupation family 21 Science & Engineering 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%.
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.
General role profile on a 0–100 scale. These are modelling inputs, not measurements of an individual job or worker.
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 Flying instructor (except air force)?
Flying instructor (except air force) has an AI Exposure Rank of 16/100, meaning its work is more exposed to current AI capabilities than approximately 16% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss. AI Exposure Rank: 16/100 (Very Low). Median wage: SGD 20,000/month.
What is the AI exposure rank for Flying instructor (except air force)?
Flying instructor (except air force) has an AI Exposure Rank of 16/100, rated Very Low. It ranks higher than approximately 16% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Flying instructor (except air force)?
Flying instructor (except air force) has modeled transition pathways to related occupations. The strongest adjacent pathway is Health services manager, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Flying instructor (except air force) salary compare in the live market?
Flying instructor (except air force) earns a median gross wage of SGD 20,000/month in the live market (25th-75th percentile: SGD 8,050-30,000). This is 344% above median across all 562 scored occupations, and 208% above group median within Professionals occupations.