Structural pressure
45%
High RiskMerchandising/Category executive
Merchandising/Category executive faces significant structural AI displacement pressure. high exposure with few human bottlenecks to slow adoption.
Limited buffers available against the structural pressure.
Why This Score
88% of tasks overlap with current AI
44% human advantage from judgment & presence
24% demand buffer from SG labour market
AI usage 2pp below theoretical exposure
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works
Tasks AI can handle
Technical documentation, standard testing procedures, data logging, routine diagnostics, and equipment monitoring.
Where humans stay essential
Hands-on troubleshooting, interpreting non-standard test results, calibrating instruments, and bridging communication between engineers and operators.
Skills to focus on
Role profile
Heuristic workflow context from shared occupation archetypes. This profile helps interpret the score; it is not a direct occupation-level measurement and is not part of the core net-risk formula.
Workflow dimensions (0 = low, 1 = high)
Singapore Now
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 · Q4 2025 full
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
What You Can Do
Merchandising/Category executive 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
Adjacent pathways to investigate
Similarity-basedSee how this compares to similar occupations
Compare with... →Classification
Higher risk than 86% of occupations· University Degree
Raw scores
AIOE 1.341 · θ 0.667 · C-AIOE 1.047
Stability
watch · Optimistic 40% · Pessimistic 51%
Sensitivity band
Exposure 85–91% · Net risk 39.79–50.74%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 2,468 · Median 3,197 · 75th 4,000
Evidence & sources
Crosswalk
direct · SSOC 33225
Anthropic: -2pp vs theory
Evidence quality
88% · Crosswalk 1.00 · Market 0.70 · Fresh 0.84
100% weighted task match · 22% effective coverage
Exposure by source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Signal conflicts
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 2 recent Singapore-relevant company signals.
Worker profile
Gender mix
39% male / 61% femalePublished Singapore worker composition for the detailed occupation family 33 Business & Administration Associate Professionals.
Employment structure
Employee-heavy87% employees, 13% employers or self-employed workers.
Work arrangement
Mostly full-time9% part-time and 91% full-time in 2025.
Age profile
Mid-career heavy17% aged 15 to 29, 52% aged 30 to 49, and 31% aged 50 or older.
Qualification mix
Diploma-heavyDegree 37%; Diploma / professional qualification 35%.
Gross wage by sex
Female median 15% lowerPublished June 2024 gross wage medians: male $3,650, female $3,100.
Where this work is concentrated
Top planning areas
Jurong West, Woodlands, Tampines22% of workers in this occupation group live in these three planning areas.
Residential concentration
Moderately clustered35% live across the top five planning areas in the 2020 Census.
Commute pattern
Longer commutesEstimated average commute 38.7 minutes. 36% take 46 minutes or more.