Structural pressure
26%
Moderate RiskLikely range
21–31%
Civil engineer
Professionals · SGD 6,500/mo (44% above median)
Civil engineer shows mixed AI signals: high exposure, but also strong human dependencies and organizational friction.
Why This Score
67% of tasks overlap with current AI
54% human advantage from judgment & presence
52% demand buffer from SG labour market
AI usage 34pp 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
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%). employer pressure is low.
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
Civil engineer 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.
- Credential or licensing barriers could make switching harder than the adjacent-role list suggests.
Easier Switch
Automation engineer (including robotics engineer) 75%Marine superintendent 75%Energy engineer 74%Lower Risk
Commercial airline pilot 71%Marine superintendent 75%Marine superintendent (engineer) 72%Automation engineer (including robotics engineer)
easy transition · 75% match
Marine superintendent
easy transition · 75% match
Energy engineer
easy transition · 74% match
Production engineer
easy transition · 73% match
Marine superintendent (engineer)
easy transition · 72% match
Quality control/assurance engineer
easy transition · 72% match
Chief engineer/Second engineer (ship)
easy transition · 72% match
Clinical research professional
easy transition · 72% match
See how this compares to similar occupations
Compare with... →Evidence
Crosswalk: direct · SSOC 21421
Anthropic: -34pp vs theory
Raw Scores
AIOE 1.339 · θ 0.681 · C-AIOE 1.026
Stability
watch · Optimistic 21% (Moderate) · Pessimistic 31% (High)
Confidence
76% · Crosswalk 1.00 · Market 0.65 · Fresh 0.84
Wage (SGD/mo)
25th 4,900 · Median 6,500 · 75th 8,165