Merchandising/Category executive
AI displacement risk
43%
Range 38.11–48.41%
Merchandising/Category executive has 88% AI task overlap with only 43% human bottleneck protection — higher risk than 89% of occupations in the live market. Structural displacement pressure is significant.
Associate Professionals & Technicians·SGD 3,197/mo (2,468–4,000)·~7.6K 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.
Why This Score
88% of tasks overlap with current AI
43% human advantage from judgment & presence
24% demand buffer from the local labour market
AI usage 2pp below 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 88% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Merchandising/Category executive tasks most exposed include: technical documentation, standard testing procedures, data logging, routine diagnostics, and equipment monitoring.
- • Make travel arrangements for executives.
- • Prepare invoices, reports, memos, letters, financial statements, and other documents, using word processing, spreadsheet, database, or presentation software.
- • Conduct research, compile data, and prepare papers for consideration and presentation by executives, committees, and boards of directors.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 43% human bottleneck protection, the tasks that remain hardest to automate for Merchandising/Category executive include: hands-on troubleshooting, interpreting non-standard test results, calibrating instruments, and bridging communication between engineers and operators.
Main insulation channels: Deep preparation + High-stakes decisions — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
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
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
Related roles you could transition to
Risk-reducingHigh displacement pressure, but comparatively credible risk-reducing moves exist — the strongest scores 66% match. Escape-route quality, not pressure alone, shapes how risk resolves.
Compare within Associate Professionals & Technicians
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 89% of occupations · V7 structural score
Raw scores
AIOE 1.341 · θ 0.667 · C-AIOE 1.097
Stability
watch · Optimistic 39% · Pessimistic 51%
Score range (best/worst case)
Exposure 84–90% · Net risk 38.11–48.41%
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.-1.7pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 2,468 · Median 3,197 · 75th 4,000
Evidence & sources
Data matching
direct · SSOC 33225
Real-world AI usage: -2% vs estimated
Data quality
88% · Matching 1.00 · Market data 0.70 · Freshness 0.84
100% weighted task match · 22% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
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 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.
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 Merchandising/Category executive?
Merchandising/Category executive has 88% AI task overlap with only 43% 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 3,197/month.
What is the AI risk score for Merchandising/Category executive?
Merchandising/Category executive has an AI displacement risk of 43%, rated High. AI task overlap: 88%. Human advantage: 43%. Local demand buffer: 24%.
What career transitions are available for Merchandising/Category executive?
Merchandising/Category executive has modeled transition pathways to related occupations. The strongest adjacent pathway is International market agent/representative (e.g. junket operator), based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Merchandising/Category executive salary compare in the live market?
Merchandising/Category executive earns a median gross wage of SGD 3,197/month in the live market (25th-75th percentile: SGD 2,468-4,000). This is 29% below median across all 562 scored occupations, and 23% below group median within Associate Professionals & Technicians occupations.