Cyber risk specialist
AI displacement risk
33%
Range 29.72–36.53%
Cyber risk specialist has 83% AI task overlap but 27% human bottleneck protection — at the 82nd percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces.
Professionals·SGD 10,071/mo (7,579–13,583)·~5.1K 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.
Mixed signal: This occupation scores high structural risk but is currently on the Shortage Occupation List — indicating labour shortage despite AI exposure.
Why This Score
83% of tasks overlap with current AI
27% human advantage from judgment & presence
56% demand buffer from the local labour market
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 83% AI task overlap (based on Felten AIOE), the Cyber risk specialist tasks most exposed include: code generation, test writing, documentation, code review suggestions, and debugging common patterns.
What AI can't do here
At 27% human bottleneck protection, the tasks that remain hardest to automate for Cyber risk specialist include: system architecture decisions, complex debugging in production, cross-team coordination, requirements gathering, and security-critical code review.
Skills to focus on
Dell'Acqua et al. (2023) found consultants using AI improved quality 12-40% depending on task boundary — but performance dropped when AI was used outside its capability frontier ("jagged frontier" effect).
Sources: Felten AIOE (2021), 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
Cyber risk specialist 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 82% of occupations · V7 structural score
Raw scores
AIOE 1.241 · θ 0.648 · C-AIOE 1.039
Stability
stable · Optimistic 32% · Pessimistic 41%
Score range (best/worst case)
Exposure 83–83% · Net risk 29.72–36.53%
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.-3.5pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 7,579 · Median 10,071 · 75th 13,583
Evidence & sources
Data matching
direct · SSOC 25241
SOL 2026: exact match
Data quality
52% · Matching 0.98 · Market data 0.85 · Freshness 0.55
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 100%
Conflicting data signals
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 moderate, based on 7 recent Singapore-relevant company signals.
Worker profile
Gender mix
70% male / 30% femalePublished Singapore worker composition for the detailed occupation family 25 Information & Communications Technology 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 7% lowerPublished June 2024 gross wage medians: male $10,326, female $9,648.
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 Cyber risk specialist?
Cyber risk specialist has 83% AI task overlap but 27% human bottleneck protection — at the 82nd percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces. Net displacement risk: 33% (High). Median wage: SGD 10,071/month.
What is the AI risk score for Cyber risk specialist?
Cyber risk specialist has an AI displacement risk of 33%, rated High. AI task overlap: 83%. Human advantage: 27%. Local demand buffer: 56%.
What career transitions are available for Cyber risk specialist?
Cyber risk specialist has modeled transition pathways to related occupations. The strongest adjacent pathway is Cloud specialist, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Cyber risk specialist salary compare in the live market?
Cyber risk specialist earns a median gross wage of SGD 10,071/month in the live market (25th-75th percentile: SGD 7,579-13,583). This is 124% above median across all 562 scored occupations, and 55% above group median within Professionals occupations.