Kitchen operations head/supervisor
AI displacement risk
11%
Range 7.11–14.67%
Kitchen operations head/supervisor has 54% AI task overlap and 76% human bottleneck protection — lower risk than 58% of occupations in the live market. Current AI capabilities have limited overlap with core tasks.
Associate Professionals & Technicians·SGD 3,949/mo (3,329–4,000)·~2.7K 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
54% of tasks overlap with current AI
76% human advantage from judgment & presence
27% demand buffer from the local labour market
AI usage 5pp 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. How this works
Tasks AI can handle
With 54% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Kitchen operations head/supervisor tasks most exposed include: technical documentation, standard testing procedures, data logging, routine diagnostics, and equipment monitoring.
- • Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.
- • Develop or implement product-marketing strategies, including advertising campaigns or sales promotions.
- • Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 76% human bottleneck protection, the tasks that remain hardest to automate for Kitchen operations head/supervisor include: hands-on troubleshooting, interpreting non-standard test results, calibrating instruments, and bridging communication between engineers and operators.
Main insulation channels: Non-routine work + Deep preparation — 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
Kitchen operations head/supervisor has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Similarity-basedCompare within Associate Professionals & Technicians
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 42% of occupations · V7 structural score
Raw scores
AIOE 0.939 · θ 0.715 · C-AIOE 0.723
Stability
stable · Optimistic 8% · Pessimistic 15%
Score range (best/worst case)
Exposure 42–64% · Net risk 7.11–14.67%
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.-0.6pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 3,329 · Median 3,949 · 75th 4,000
Evidence & sources
Data matching
direct · SSOC 34342
Real-world AI usage: -5% vs estimated
Data quality
83% · Matching 1.00 · Market data 0.70 · Freshness 0.84
100% weighted task match · 13% 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.
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
57% male / 43% femalePublished Singapore worker composition for the detailed occupation family 34 Legal, Social, Cultural & Related 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 $4,000, female $3,415.
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 Kitchen operations head/supervisor?
Kitchen operations head/supervisor has 54% AI task overlap and 76% human bottleneck protection — lower risk than 58% of occupations in the live market. Current AI capabilities have limited overlap with core tasks. Net displacement risk: 11% (Low). Median wage: SGD 3,949/month.
What is the AI risk score for Kitchen operations head/supervisor?
Kitchen operations head/supervisor has an AI displacement risk of 11%, rated Low. AI task overlap: 54%. Human advantage: 76%. Local demand buffer: 27%.
What career transitions are available for Kitchen operations head/supervisor?
Kitchen operations head/supervisor has modeled transition pathways to related occupations. The strongest adjacent pathway is Photographer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Kitchen operations head/supervisor salary compare in the live market?
Kitchen operations head/supervisor earns a median gross wage of SGD 3,949/month in the live market (25th-75th percentile: SGD 3,329-4,000). This is 12% below median across all 562 scored occupations, and 5% below group median within Associate Professionals & Technicians occupations.