ICT service manager
AI Exposure Rank
49/100
Range 38–63/100 across source-weight sensitivity checks
ICT service manager has an AI Exposure Rank of 49/100, meaning its work is more exposed to current AI capabilities than approximately 49% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.
Managers·SGD 9,503/mo (7,280–13,226)·~5.4K 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
48% of tasks overlap with current AI
96% human advantage from judgment & presence
55% demand buffer from the local labour market
AI usage 21pp 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.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works
Tasks AI can handle
With 48% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the ICT service manager tasks most exposed include: code generation, test writing, documentation, code review suggestions, and debugging common patterns.
- • Prepare and review operational reports and schedules to ensure accuracy and efficiency.
- • Set goals and deadlines for the department.
- • Acquire, distribute and store supplies.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 96% human bottleneck protection, the tasks that remain hardest to automate for ICT service manager include: system architecture decisions, complex debugging in production, cross-team coordination, requirements gathering, and security-critical code review.
Main insulation channels: Deep preparation + Non-routine work — the work-context dimensions behind this occupation's human bottleneck.
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), 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
ICT service 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
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 Managers
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 48% of occupations · V8 AI Exposure Rank· Graduate Degree
Raw scores
AIOE 0.943 · θ 0.802 · C-AIOE 0.644
Stability
stable · Optimistic 0% · Pessimistic 3%
Score range (best/worst case)
Exposure sensitivity 31–64% · Rank sensitivity 38–63/100 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 7,280 · Median 9,503 · 75th 13,226
Evidence & sources
Data matching
direct · SSOC 13304
SOL 2026: prefix match
Real-world AI usage: -21% vs estimated
Data quality
medium evidence · 4 exposure sources · direct mapping
100% weighted task match · 0% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Conflicting data signals
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.
- 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 13 Production & Specialised Services 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 16% higherPublished June 2024 gross wage medians: male $9,316, female $10,841.
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.
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 ICT service manager?
ICT service manager has an AI Exposure Rank of 49/100, meaning its work is more exposed to current AI capabilities than approximately 49% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 49/100 (Moderate). Median wage: SGD 9,503/month.
What is the AI exposure rank for ICT service manager?
ICT service manager has an AI Exposure Rank of 49/100, rated Moderate. It ranks higher than approximately 49% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for ICT service manager?
ICT service manager has modeled transition pathways to related occupations. The strongest adjacent pathway is Chief information officer/Chief technology officer/Chief security officer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does ICT service manager salary compare in the live market?
ICT service manager earns a median gross wage of SGD 9,503/month in the live market (25th-75th percentile: SGD 7,280-13,226). This is 111% above median across all 562 scored occupations, and 16% above group median within Managers occupations.