Cloud specialist
AI Exposure Rank
73/100
Range 52–90/100 across source-weight sensitivity checks
Cloud specialist has an AI Exposure Rank of 73/100, meaning its work is more exposed to current AI capabilities than approximately 73% of Singapore occupations. The evidence currently points to demand buffered redesign; this is a relative rank, not a probability of job loss.
Professionals·SGD 9,583/mo (7,001–15,176)·~5.0K workers in SG·Updated 2026-06-11
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
Why This Score
71% of tasks overlap with current AI
34% human advantage from judgment & presence
62% 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.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. Score stability: watch. How this works
Tasks AI can handle
With 71% AI task overlap (based on Felten AIOE and ILO occupational exposure), the Cloud specialist tasks most exposed include: code generation, test writing, documentation, code review suggestions, and debugging common patterns.
What AI can't do here
At 34% human bottleneck protection, the tasks that remain hardest to automate for Cloud 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), 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
Cloud 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
Exposure-reducingThis occupation has higher relative AI exposure, and its best adjacent move ranks in the weakest quarter of exposure-reducing options. Mobility outcomes also depend on demand, wages, skills and access to credible transitions. See all occupations in this quadrant.
Compare within Professionals
Modern roles using this occupation
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 72% of occupations · V8 AI Exposure Rank· University Degree
Raw scores
AIOE 0.580 · θ 0.662 · C-AIOE 0.478
Stability
watch · Optimistic 23% · Pessimistic 30%
Score range (best/worst case)
Exposure sensitivity 54–87% · Rank sensitivity 52–90/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
Wage range (SGD/mo)
25th 7,001 · Median 9,583 · 75th 15,176
Evidence & sources
Data matching
direct · SSOC 25231
SOL 2026: exact match
Data quality
medium evidence · 2 exposure sources · direct mapping
Capped at high · Final rating: medium · capped for sparse source coverage
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 47% · ilo 53%
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.
- Live job ads show 0 visible postings in the last 30 days, led by Kubernetes, Terraform, Information Technology.
- 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
Near parityPublished June 2024 gross wage medians: male $9,733, female $9,327.
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
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
Frequently asked questions
Will AI replace Cloud specialist?
Cloud specialist has an AI Exposure Rank of 73/100, meaning its work is more exposed to current AI capabilities than approximately 73% of Singapore occupations. The evidence currently points to demand buffered redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 73/100 (High). Median wage: SGD 9,583/month.
What is the AI exposure rank for Cloud specialist?
Cloud specialist has an AI Exposure Rank of 73/100, rated High. It ranks higher than approximately 73% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Cloud specialist?
Cloud specialist has modeled transition pathways to related occupations. The strongest adjacent pathway is IT infrastructure specialist, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Cloud specialist salary compare in the live market?
Cloud specialist earns a median gross wage of SGD 9,583/month in the live market (25th-75th percentile: SGD 7,001-15,176). This is 113% above median across all 562 scored occupations, and 47% above group median within Professionals occupations.