Web and mobile applications developer
AI displacement risk
43%
Range 38.91–45.94%
Web and mobile applications developer has 86% AI task overlap with only 5% human bottleneck protection — higher risk than 89% of occupations in the live market. Structural displacement pressure is significant.
Professionals·SGD 7,000/mo (6,050–9,314)·~4.3K 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
86% of tasks overlap with current AI
5% human advantage from judgment & presence
46% demand buffer from the local labour market
On the Shortage Occupation List & Jobs in Demand 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. Score stability: watch. How this works
Tasks AI can handle
With 86% AI task overlap (based on Felten AIOE and ILO occupational exposure), the Web and mobile applications developer tasks most exposed include: code generation, test writing, documentation, code review suggestions, and debugging common patterns.
- • Respond to user email inquiries, or set up automated systems to send responses.
- • Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems.
- • Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 5% human bottleneck protection, the tasks that remain hardest to automate for Web and mobile applications developer 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
Web and mobile applications developer 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 72% match. Escape-route quality, not pressure alone, shapes how risk resolves.
Compare within Professionals
Modern roles using this occupation
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 89% of occupations · V7 structural score
Raw scores
AIOE 1.242 · θ 0.585 · C-AIOE 1.119
Stability
watch · Optimistic 42% · Pessimistic 52%
Score range (best/worst case)
Exposure 84–87% · Net risk 38.91–45.94%
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.-4.8pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 6,050 · Median 7,000 · 75th 9,314
Evidence & sources
Data matching
direct · SSOC 25122
SOL 2026: exact match
Jobs in Demand: prefix match
Data quality
74% · Matching 0.92 · Market data 0.85 · Freshness 0.75
Capped at high · Final rating: medium · capped for conflicting signals
100% weighted task match · 41% effective coverage
AI overlap by data source
Weights: aioe 47% · ilo 53%
Conflicting data signals
Tools & offset factors
Common tools (O*NET proxy)
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
Near parityPublished June 2024 gross wage medians: male $7,106, female $6,878.
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 Web and mobile applications developer?
Web and mobile applications developer has 86% AI task overlap with only 5% human bottleneck protection — higher risk than 89% of occupations in the live market. Structural displacement pressure is significant. Net displacement risk: 43% (High). Median wage: SGD 7,000/month.
What is the AI risk score for Web and mobile applications developer?
Web and mobile applications developer has an AI displacement risk of 43%, rated High. AI task overlap: 86%. Human advantage: 5%. Local demand buffer: 46%.
What career transitions are available for Web and mobile applications developer?
Web and mobile applications developer has modeled transition pathways to related occupations. The strongest adjacent pathway is Software developer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Web and mobile applications developer salary compare in the live market?
Web and mobile applications developer earns a median gross wage of SGD 7,000/month in the live market (25th-75th percentile: SGD 6,050-9,314). This is 56% above median across all 562 scored occupations, and 8% above group median within Professionals occupations.