Landscape and plant nursery supervisor
AI Exposure Rank
21/100
Range 16–26/100 across source-weight sensitivity checks
Landscape and plant nursery supervisor has an AI Exposure Rank of 21/100, meaning its work is more exposed to current AI capabilities than approximately 21% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.
Agricultural & Fishery Workers·SGD 2,575/mo (1,750–3,500)·~18.2K 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
Limited direct change
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. How this works
Tasks AI can handle
With 24% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Landscape and plant nursery supervisor tasks most exposed include: predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.
- • Confer with clients, engineering personnel, or architects on landscape projects.
- • Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans.
- • Inspect landscape work to ensure compliance with specifications, evaluate quality of materials or work, or advise clients or construction personnel.
O*NET tasks for this occupation with the most observed Claude usage (Anthropic task data).
What AI can't do here
At 32% human bottleneck protection, the tasks that remain hardest to automate for Landscape and plant nursery supervisor include: physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.
Main insulation channels: Physical presence + Non-routine work — 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.
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 limited
100% weighted task match · 0% effective coverage
Human advantage
Coordination and judgment still matter
At 32% human bottleneck protection, the tasks that remain hardest to automate for Landscape and plant nursery supervisor include: physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.
Hiring and demand
2.3% vacancy rate · 2026 Q1
Production and transport vacancies fell back from the Q4 spike and were slightly below a year earlier. Hiring remained net positive, retrenchments declined, and six-month re-entry improved.
Career transitions
Gardener and horticultural worker
moderate modeled transition; outcomes still depend on skills, wages and openings.
Evidence strength
medium confidence
4 exposure sources · sensitivity 16–26/100 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.
Cooling, but not collapsing. Vacancies are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
2.3%
↓ 4.2% YoY
Hiring
1.7%
vs 1.2% resign
Retrenchment
0.3
per 1,000 · low
Re-entry
76.9%
find work in 12mo· -1.2pp
Production & Transport Operators, Cleaners & Labourers · 2026 Q1
What You Can Do
Landscape and plant nursery supervisor has some offset potential, but it depends on demand holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Similarity-basedCompare within Agricultural & Fishery Workers
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 20% of occupations · V8 AI Exposure Rank· GCE O-Level / Secondary
Raw scores
AIOE 0.171 · θ 0.659 · C-AIOE 0.141
Stability
stable · Optimistic 9% · Pessimistic 14%
Score range (best/worst case)
Exposure sensitivity 17–32% · Rank sensitivity 16–26/100 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 1,750 · Median 2,575 · 75th 3,500
Evidence & sources
Data matching
direct · SSOC 61131
Real-world AI usage: -26% vs estimated
Data quality
medium evidence · 4 exposure sources · direct mapping
100% weighted task match · 0% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Conflicting data signals
Worker profile & local context
- Vacancy rate is 2.3% and fell by 0.5 points from last quarter.
- Hiring read: recruitment is running above resignation (1.7% vs 1.2%).
- Retrenchment was low at 0.3 per 1,000 employees.
- 76.9% of retrenched workers re-entered employment within 12 months.
- Employer pressure is low, based on 1 captured Singapore-relevant company signals through 2025-10-06.
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 Landscape and plant nursery supervisor?
Landscape and plant nursery supervisor has an AI Exposure Rank of 21/100, meaning its work is more exposed to current AI capabilities than approximately 21% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss. AI Exposure Rank: 21/100 (Low). Median wage: SGD 2,575/month.
What is the AI exposure rank for Landscape and plant nursery supervisor?
Landscape and plant nursery supervisor has an AI Exposure Rank of 21/100, rated Low. It ranks higher than approximately 21% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Landscape and plant nursery supervisor?
Landscape and plant nursery supervisor has modeled transition pathways to related occupations. The strongest adjacent pathway is Gardener and horticultural worker, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Landscape and plant nursery supervisor salary compare in the live market?
Landscape and plant nursery supervisor earns a median gross wage of SGD 2,575/month in the live market (25th-75th percentile: SGD 1,750-3,500). This is 43% below median across all 562 scored occupations, and near group median within Agricultural & Fishery Workers occupations.