AI displacement pressure
29%
Moderate RiskService designer
Service designer has 70% AI task overlap but 37% human bottleneck protection — at the 78th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces.
Why This Score
70% of tasks overlap with current AI
37% human advantage from judgment & presence
64% demand buffer from the local labour market
AI usage 17pp 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. Score stability: watch. How this works
Tasks AI can handle
With 70% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Service designer tasks most exposed include: generating visual concepts, creating layout variations, producing mockups from descriptions, and automating repetitive design tasks like resizing.
What AI can't do here
At 37% human bottleneck protection, the tasks that remain hardest to automate for Service designer include: understanding user needs through research, making aesthetic judgments that reflect brand identity, designing for emotional impact, and iterating based on nuanced feedback.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (2023), 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
Service designer 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
Similarity-basedCompare within Professionals
Modern roles using this occupation
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 78% of occupations
Raw scores
AIOE 0.791 · θ 0.664 · C-AIOE 0.650
Stability
watch · Optimistic 27% · Pessimistic 36%
Score range (best/worst case)
Exposure 64–76% · Net risk 24.83–32.67%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 5,162 · Median 8,557 · 75th 12,890
Evidence & sources
Data matching
direct · SSOC 21670
Real-world AI usage: +17% vs estimated
Data quality
79% · Matching 0.81 · Market data 0.70 · Freshness 0.80
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
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
69% male / 31% femalePublished Singapore worker composition for the detailed occupation family 21 Science & Engineering 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 27% lowerPublished June 2024 gross wage medians: male $9,887, female $7,197.
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.
Frequently asked questions
Will AI replace Service designer?
Service designer has 70% AI task overlap but 37% human bottleneck protection — at the 78th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces. Net displacement risk: 29% (Moderate). Median wage: SGD 8,557/month.
What is the AI risk score for Service designer?
Service designer has an AI displacement risk of 29%, rated Moderate. AI task overlap: 70%. Human advantage: 37%. Local demand buffer: 64%.
What career transitions are available for Service designer?
Service designer has modeled transition pathways to related occupations. The strongest adjacent pathway is Building architect, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Service designer salary compare in the live market?
Service designer earns a median gross wage of SGD 8,557/month in the live market (25th-75th percentile: SGD 5,162-12,890). This is 90% above median across all 562 scored occupations, and 32% above group median within Professionals occupations.