Policy administration professional (e.g. policy analyst)
AI displacement risk
41%
Range 35.16–46.43%
Policy administration professional (e.g. policy analyst) has 84% AI task overlap but 33% human bottleneck protection — at the 88th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces.
Professionals·SGD 5,179/mo (4,100–8,858)·~4.1K 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.
Why This Score
84% of tasks overlap with current AI
33% human advantage from judgment & presence
51% demand buffer from the local labour market
AI usage 9pp above theoretical exposure
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 84% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Policy administration professional (e.g. policy analyst) tasks most exposed include: running standard statistical analyses, generating charts, cleaning data, writing SQL queries, and producing summary reports from structured data.
- • Process and review environmental permits, licenses, or related materials.
- • Determine data collection methods to be employed in research projects or surveys.
- • Collect, synthesize, analyze, manage, and report environmental data, such as pollution emission measurements, atmospheric monitoring measurements, meteorological or mineralogical information, or soil or water samples.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 33% human bottleneck protection, the tasks that remain hardest to automate for Policy administration professional (e.g. policy analyst) include: 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.
Main insulation channels: Non-routine work + Deep preparation — 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), ILO GenAI (2025), 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
Policy administration professional (e.g. policy analyst) 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
Related roles you could transition to
Risk-reducingHigh displacement pressure, but comparatively credible risk-reducing moves exist — the strongest scores 66% match. Escape-route quality, not pressure alone, shapes how risk resolves.
Compare within Professionals
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 88% of occupations · V7 structural score
Raw scores
AIOE 1.313 · θ 0.660 · C-AIOE 1.083
Stability
stable · Optimistic 38% · Pessimistic 50%
Score range (best/worst case)
Exposure 76–92% · Net risk 35.16–46.43%
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.-3.1pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 4,100 · Median 5,179 · 75th 8,858
Evidence & sources
Data matching
direct · SSOC 24220
Real-world AI usage: +9% vs estimated
Data quality
72% · Matching 0.70 · Market data 0.70 · Freshness 0.84
Capped at high · Final rating: medium · capped for conflicting signals
100% weighted task match · 4% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Conflicting data signals
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
41% male / 59% femalePublished Singapore worker composition for the detailed occupation family 24 Business & Administration 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 19% lowerPublished June 2024 gross wage medians: male $6,200, female $5,025.
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.
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 Policy administration professional (e.g. policy analyst)?
Policy administration professional (e.g. policy analyst) has 84% AI task overlap but 33% human bottleneck protection — at the 88th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces. Net displacement risk: 41% (High). Median wage: SGD 5,179/month.
What is the AI risk score for Policy administration professional (e.g. policy analyst)?
Policy administration professional (e.g. policy analyst) has an AI displacement risk of 41%, rated High. AI task overlap: 84%. Human advantage: 33%. Local demand buffer: 51%.
What career transitions are available for Policy administration professional (e.g. policy analyst)?
Policy administration professional (e.g. policy analyst) has modeled transition pathways to related occupations. The strongest adjacent pathway is Marine superintendent, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Policy administration professional (e.g. policy analyst) salary compare in the live market?
Policy administration professional (e.g. policy analyst) earns a median gross wage of SGD 5,179/month in the live market (25th-75th percentile: SGD 4,100-8,858). This is 15% above median across all 562 scored occupations, and 20% below group median within Professionals occupations.