Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage)
AI Exposure Rank
41/100
Range 39–43/100 across source-weight sensitivity checks
Wellness centre manager (e.g. hair/beauty/slimming/spa/manicure/massage) has an AI Exposure Rank of 41/100, meaning its work is more exposed to current AI capabilities than approximately 41% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.
Managers·SGD 5,635/mo (3,800–8,725)·~3.6K workers in SG·Updated 2026-07-17
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
How This Rank Is Built
The source percentiles are combined using the displayed reliability weights, then ranked against all 562 Singapore occupations. This is not a percentage of tasks and not a job-loss probability.
Likely job pathway
Workflow redesign
Current demand context
Mixed current demand
Pathway and demand are reported beside the exposure rank. Current demand does not change the rank.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. 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 Claude 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.
From exposure to employment
What could change the employment outcome?
AI capability is only the starting point. Adoption, task design, human oversight, demand, mobility and evidence quality determine how exposure may resolve in practice.
Workplace adoption
Occupation-level adoption unknown
MOM does not publish a directly mappable adoption rate for the listed industries.
Task structure
Task evidence available
100% weighted task match · 13% effective coverage
Human advantage
Coordination and judgment still matter
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.
Hiring and demand
3.4% vacancy rate · 2026 Q1
PMET vacancies increased from Q4 and remained below their year-ago level. Hiring stayed net positive but slowed, while retrenchment incidence remained the highest of the three broad occupation groups. In 2025, this broad occupation group had 0.6% time-related underemployment and 2.7% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed -8.5% to -2.6% from 2018 to 2023.
Career transitions
Attractions manager
easy modeled transition; outcomes still depend on skills, wages and openings.
Evidence strength
medium confidence
2 exposure sources · sensitivity 39–43/100 across source-weight sensitivity checks.
These lenses are reported separately and do not alter AI Exposure Rank. Labour-market figures describe a broad official occupation cluster, not this SSOC occupation alone.
Singapore Now
Current labour market conditions and how they affect this role.
Local conditions are under more strain. Vacancies have softened and displacement signals are less forgiving.
Vacancy
3.4%
↓ 2.9% YoY
Hiring
1.2%
vs 0.7% resign
Retrenchment
2.6
per 1,000 · moderate
Re-entry
69.1%
find work in 12mo· +1.4pp
Professionals, Managers, Executives & Technicians · 2026 Q1
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
More exposed than approximately 41% of occupations · V8 AI Exposure Rank· Polytechnic / ITE Diploma
Raw scores
AIOE 0.240 · θ 0.751 · C-AIOE 0.176
Stability
watch · Optimistic 2% · Pessimistic 5%
Score range (best/worst case)
Exposure sensitivity 40–42% · Rank sensitivity 39–43/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
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
medium evidence · 2 exposure sources · direct mapping
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 3.4% and rose by 0.3 points from last quarter.
- Hiring read: recruitment is running above resignation (1.2% vs 0.7%).
- Retrenchment was moderate at 2.6 per 1,000 employees.
- 69.1% 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.
General role profile on a 0–100 scale. These are modelling inputs, not measurements of an individual job or worker.
How this changes by career stage
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
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 an AI Exposure Rank of 41/100, meaning its work is more exposed to current AI capabilities than approximately 41% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 41/100 (Moderate). Median wage: SGD 5,635/month.
What is the AI exposure rank 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 Exposure Rank of 41/100, rated Moderate. It ranks higher than approximately 41% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
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.