Structural pressure
54%
Very High RiskTelecommunications engineer
Telecommunications engineer faces significant structural AI displacement pressure. high exposure with few human bottlenecks to slow adoption.
Limited buffers available against the structural pressure.
Why This Score
81% of tasks overlap with current AI
20% human advantage from judgment & presence
48% demand buffer from SG labour market
AI usage 7pp 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
Running standard statistical analyses, generating charts, cleaning data, writing SQL queries, and producing summary reports from structured data.
Where humans stay essential
Framing the right question, identifying data quality issues, interpreting results in business context, communicating insights to non-technical stakeholders, and making judgment calls on methodology.
Skills to focus on
Role profile
Heuristic workflow context from shared occupation archetypes. This profile helps interpret the score; it is not a direct occupation-level measurement and is not part of the core net-risk formula.
Workflow dimensions (0 = low, 1 = high)
Singapore Now
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 · Q4 2025 full
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
How this changes by career stage
What You Can Do
Telecommunications engineer 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
Adjacent pathways to investigate
Similarity-basedSee how this compares to similar occupations
Compare with... →Classification
Higher risk than 92% of occupations· University Degree
Raw scores
AIOE 1.142 · θ 0.633 · C-AIOE 0.930
Stability
watch · Optimistic 48% · Pessimistic 60%
Sensitivity band
Exposure 74–87% · Net risk 47.88–59.78%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 4,865 · Median 6,158 · 75th 10,106
Evidence & sources
Crosswalk
direct · SSOC 21532
Anthropic: -7pp vs theory
Evidence quality
86% · Crosswalk 1.00 · Market 0.70 · Fresh 0.84
100% weighted task match · 18% effective coverage
Exposure by source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Signal conflicts
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 3.1% 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 1 recent Singapore-relevant company signals.
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%.
Gross wage by sex
Female median 9% higherPublished June 2024 gross wage medians: male $6,070, female $6,588.
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.