AI displacement pressure
2%
Very Low RiskPolicy manager
Policy manager has 45% AI task overlap but 92% human bottleneck protection — lower risk than 91% of occupations in the live market. AI is more likely to enhance this role than replace it.
Why This Score
45% of tasks overlap with current AI
92% human advantage from judgment & presence
60% demand buffer from the local labour market
AI usage 19pp below theoretical exposure
On the Shortage Occupation List list — government recognises hiring need
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 45% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Policy manager tasks most exposed include: market research summaries, competitive analysis, user feedback synthesis, roadmap documentation, and metrics dashboard generation.
What AI can't do here
At 92% human bottleneck protection, the tasks that remain hardest to automate for Policy manager include: vision-setting, prioritization under ambiguity, stakeholder alignment, go-to-market judgment, and making trade-offs between competing business objectives.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (2023), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
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)
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.
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.
What You Can Do
Policy manager still has credible offset paths. Demand persists, adjacent moves look viable, and enough of the work appears reorganizable around AI.
Published transition support
Related roles you could transition to
Similarity-basedCompare within Managers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 9% of occupations
Raw scores
AIOE 0.509 · θ 0.772 · C-AIOE 0.363
Stability
stable · Optimistic 1% · Pessimistic 4%
Score range (best/worst case)
Exposure 40–50% · Net risk 0.56–3.56%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 9,098 · Median 12,053 · 75th 15,278
Evidence & sources
Data matching
direct · SSOC 12131
SOL 2026: prefix match
Real-world AI usage: -19% vs estimated
Data quality
90% · Matching 1.00 · Market data 0.75 · Freshness 0.84
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Tools & offset factors
What helps
- A meaningful share of the work can likely be reorganized around AI rather than removed outright.
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.
- Live job ads show 0 visible postings in the last 30 days, led by Risk Management.
- Employer pressure is low, based on 1 recent Singapore-relevant company signals.
Worker profile
Gender mix
50% male / 50% femalePublished Singapore worker composition for the detailed occupation family 12 Administrative & Commercial Managers.
Employment structure
More self-employed79% employees, 21% employers or self-employed workers.
Work arrangement
Mostly full-time3% part-time and 97% full-time in 2025.
Age profile
Mid-career heavy2% aged 15 to 29, 58% aged 30 to 49, and 40% aged 50 or older.
Qualification mix
Degree-heavyDegree 73%; Diploma / professional qualification 14%.
Gross wage by sex
Female median 11% lowerPublished June 2024 gross wage medians: male $12,731, female $11,288.
Where this work is concentrated
Top planning areas
Bedok, Sengkang, Hougang20% 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
Shorter commutesEstimated average commute 32.0 minutes. 21% take 46 minutes or more.
Frequently asked questions
Will AI replace Policy manager?
Policy manager has 45% AI task overlap but 92% human bottleneck protection — lower risk than 91% of occupations in the live market. AI is more likely to enhance this role than replace it. Net displacement risk: 2% (Very Low). Median wage: SGD 12,053/month.
What is the AI risk score for Policy manager?
Policy manager has an AI displacement risk of 2%, rated Very Low. AI task overlap: 45%. Human advantage: 92%. Local demand buffer: 60%.
What career transitions are available for Policy manager?
Policy manager has modeled transition pathways to related occupations. The strongest adjacent pathway is Strategic planning manager, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Policy manager salary compare in the live market?
Policy manager earns a median gross wage of SGD 12,053/month in the live market (25th-75th percentile: SGD 9,098-15,278). This is 168% above median across all 562 scored occupations, and 47% above group median within Managers occupations.