Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage)
AI displacement risk
3%
Range 1.46–4.62%
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) has 41% AI task overlap but 89% human bottleneck protection — lower risk than 83% of occupations in the live market. AI is more likely to enhance this role than replace it.
Managers·SGD 5,635/mo (3,800–8,725)·~3.6K 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
41% of tasks overlap with current AI
89% human advantage from judgment & presence
56% 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 41% AI task overlap (based on Felten AIOE and Anthropic Economic Index), the Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) tasks most exposed include: reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.
- • 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 89% human bottleneck protection, the tasks that remain hardest to automate for Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) include: genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.
Main insulation channels: Non-routine work + High-stakes decisions — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
Brynjolfsson et al. (2023) found customer service agents using AI saw +14% productivity, with the biggest gains among junior workers — AI compressed the experience gap.
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), 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
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) 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 Managers
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 17% of occupations · V7 structural score
Raw scores
AIOE 0.240 · θ 0.751 · C-AIOE 0.176
Stability
watch · Optimistic 2% · Pessimistic 5%
Score range (best/worst case)
Exposure 40–42% · Net risk 1.46–4.62%
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.-0.3pp versus retained V6 baseline.
Wage range (SGD/mo)
25th 3,800 · Median 5,635 · 75th 8,725
Evidence & sources
Data matching
direct · SSOC 14324
Real-world AI usage: -2% vs estimated
Data quality
52% · Matching 0.00 · Market data 0.70 · Freshness 0.77
100% weighted task match · 13% effective coverage
AI overlap by data source
Weights: aioe 48% · anthropic 52%
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.
Worker profile
Gender mix
62% male / 38% femalePublished Singapore worker composition for the detailed occupation family 14 Hospitality, Retail & Related Services Managers.
Employment structure
More self-employed79% employees, 21% employers or self-employed workers.
Work arrangement
Mostly full-time3% part-time and 97% full-time in 2025.
Age profile
Mid-career heavy2% aged 15 to 29, 58% aged 30 to 49, and 40% aged 50 or older.
Qualification mix
Degree-heavyDegree 73%; Diploma / professional qualification 14%.
Gross wage by sex
Female median 8% lowerPublished June 2024 gross wage medians: male $5,949, female $5,470.
Where this work is concentrated
Top planning areas
Bedok, Sengkang, Hougang20% 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
Shorter commutesEstimated average commute 32.0 minutes. 21% 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 Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage)?
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) has 41% AI task overlap but 89% human bottleneck protection — lower risk than 83% of occupations in the live market. AI is more likely to enhance this role than replace it. Net displacement risk: 3% (Very Low). Median wage: SGD 5,635/month.
What is the AI risk score for Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage)?
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) has an AI displacement risk of 3%, rated Very Low. AI task overlap: 41%. Human advantage: 89%. Local demand buffer: 56%.
What career transitions are available for Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage)?
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) has modeled transition pathways to related occupations. The strongest adjacent pathway is Attractions manager, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) salary compare in the live market?
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) earns a median gross wage of SGD 5,635/month in the live market (25th-75th percentile: SGD 3,800-8,725). This is 25% above median across all 562 scored occupations, and 31% below group median within Managers occupations.