AI displacement pressure
27%
Moderate RiskShip charterer
Ship charterer has 86% AI task overlap but 48% human bottleneck protection — at the 74th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces.
Why This Score
86% of tasks overlap with current AI
48% human advantage from judgment & presence
73% demand buffer from the local labour market
AI usage 9pp above 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 86% AI task overlap (based on Felten AIOE, Anthropic Economic Index, and Eloundou GPT exposure), the Ship charterer tasks most exposed include: report drafting, data compilation, meeting summarization, email triaging, and standard analytical tasks.
What AI can't do here
At 48% human bottleneck protection, the tasks that remain hardest to automate for Ship charterer include: strategic decision-making, client relationship management, professional judgment in edge cases, cross-functional coordination, and ethical oversight.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (2023), Pizzinelli et al. bottleneck model. Full methodology.
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)
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.
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.
What You Can Do
Ship charterer 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 Professionals
See how this compares to similar occupations
Compare with... →Classification
Higher risk than 74% of occupations
Raw scores
AIOE 1.152 · θ 0.672 · C-AIOE 0.936
Stability
watch · Optimistic 26% · Pessimistic 35%
Score range (best/worst case)
Exposure 83–90% · Net risk 23.29–30.92%
Scoring basis
Not published. No scoring-basis metadata is available for this occupation.
Wage range (SGD/mo)
25th 6,860 · Median 12,399 · 75th 18,360
Evidence & sources
Data matching
direct · SSOC 24353
Real-world AI usage: +9% vs estimated
Data quality
78% · Matching 0.78 · Market data 0.70 · Freshness 0.80
Task-weighted shadow evidence is not active for this occupation yet.
AI overlap by data source
Weights: aioe 32% · anthropic 35% · eloundou 33%
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.
- Employer-side pressure is still elevated in nearby functions.
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 high, based on 8 recent Singapore-relevant company signals.
Worker profile
Gender mix
41% male / 59% femalePublished Singapore worker composition for the detailed occupation family 24 Business & Administration Professionals.
Employment structure
Employee-heavy96% employees, 4% employers or self-employed workers.
Work arrangement
Mostly full-time4% part-time and 96% full-time in 2025.
Age profile
Mid-career heavy14% aged 15 to 29, 62% aged 30 to 49, and 24% aged 50 or older.
Qualification mix
Degree-heavyDegree 81%; Diploma / professional qualification 15%.
Gross wage by sex
Female median 10% lowerPublished June 2024 gross wage medians: male $13,193, female $11,835.
Where this work is concentrated
Top planning areas
Sengkang, Bedok, Tampines19% 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
Mid-range commutesEstimated average commute 37.5 minutes. 33% take 46 minutes or more.
Frequently asked questions
Will AI replace Ship charterer?
Ship charterer has 86% AI task overlap but 48% human bottleneck protection — at the 74th percentile across 562 occupations. High exposure meets organizational friction, creating offsetting forces. Net displacement risk: 27% (Moderate). Median wage: SGD 12,399/month.
What is the AI risk score for Ship charterer?
Ship charterer has an AI displacement risk of 27%, rated Moderate. AI task overlap: 86%. Human advantage: 48%. Local demand buffer: 73%.
What career transitions are available for Ship charterer?
Ship charterer has modeled transition pathways to related occupations. The strongest adjacent pathway is Commodities trader (excluding oil and bunker), based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Ship charterer salary compare in the live market?
Ship charterer earns a median gross wage of SGD 12,399/month in the live market (25th-75th percentile: SGD 6,860-18,360). This is 176% above median across all 562 scored occupations, and 91% above group median within Professionals occupations.