Production manager in agriculture and fisheries
AI Exposure Rank
16/100
Range 11–26/100 across source-weight sensitivity checks
Production manager in agriculture and fisheries has an AI Exposure Rank of 16/100, meaning its work is more exposed to current AI capabilities than approximately 16% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.
Managers·SGD 6,930/mo (5,580–10,389)·~4.6K workers in SG·Updated 2026-06-11
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
Why This Score
21% of tasks overlap with current AI
93% human advantage from judgment & presence
49% demand buffer from the local labour market
AI usage 16pp below theoretical exposure
These factors interact with each other — the final score is not a simple sum of these bars.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works
Tasks AI can handle
With 21% AI task overlap (based on Felten AIOE and Anthropic Economic Index), the Production manager in agriculture and fisheries tasks most exposed include: demand forecasting, route optimization, inventory tracking, order processing automation, and supplier performance dashboards.
- • Confer with marketing and sales departments to define client requirements and expectations.
- • Evaluate power production or demand trends to identify opportunities for improved operations.
- • Compile and record operational data on forms or in log books.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 93% human bottleneck protection, the tasks that remain hardest to automate for Production manager in agriculture and fisheries include: managing supplier relationships, handling disruptions in real time, negotiating contracts, quality assurance for non-standard goods, and adapting logistics to local regulations.
Main insulation channels: Non-routine work + Accountability for others — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
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
Production manager in agriculture and fisheries 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 16% of occupations · V8 AI Exposure Rank· University Degree
Raw scores
AIOE -0.144 · θ 0.776 · C-AIOE -0.102
Stability
stable · Optimistic 0% · Pessimistic 2%
Score range (best/worst case)
Exposure sensitivity 14–29% · Rank sensitivity 11–26/100 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 5,580 · Median 6,930 · 75th 10,389
Evidence & sources
Data matching
direct · SSOC 13100
Real-world AI usage: -16% vs estimated
Data quality
medium evidence · 2 exposure sources · direct mapping
Capped at high · Final rating: medium · capped for sparse source coverage
100% weighted task match · 2% 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.
- Live job ads show 0 visible postings in the last 30 days, led by Excellent Communication Skills, Production Management, Pharmaceutical Manufacturing.
- Employer pressure is moderate, based on 7 recent Singapore-relevant company signals.
Worker profile
Gender mix
70% male / 30% femalePublished Singapore worker composition for the detailed occupation family 13 Production & Specialised 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 18% lowerPublished June 2024 gross wage medians: male $7,692, female $6,327.
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
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 Production manager in agriculture and fisheries?
Production manager in agriculture and fisheries has an AI Exposure Rank of 16/100, meaning its work is more exposed to current AI capabilities than approximately 16% 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: 16/100 (Very Low). Median wage: SGD 6,930/month.
What is the AI exposure rank for Production manager in agriculture and fisheries?
Production manager in agriculture and fisheries has an AI Exposure Rank of 16/100, rated Very Low. It ranks higher than approximately 16% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Production manager in agriculture and fisheries?
Production manager in agriculture and fisheries has modeled transition pathways to related occupations. The strongest adjacent pathway is Transport/Technical operations manager (except port/shipping operations), based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Production manager in agriculture and fisheries salary compare in the live market?
Production manager in agriculture and fisheries earns a median gross wage of SGD 6,930/month in the live market (25th-75th percentile: SGD 5,580-10,389). This is 54% above median across all 562 scored occupations, and 15% below group median within Managers occupations.