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AI Work Index

Shipping clerk

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AI Exposure Rank

55/100

Moderate

Range 45–59/100 across source-weight sensitivity checks

Shipping clerk has an AI Exposure Rank of 55/100, meaning its work is more exposed to current AI capabilities than approximately 55% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.

Workflow redesign

Clerical Support Workers·SGD 3,320/mo (2,600–4,218)·~2.3K 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.

Wage 4% above group median Exposure 19pp below group median #37 of 43 in Clerical Support Workers →
01

How This Rank Is Built

The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works

Tasks AI can handle

With 55% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Shipping clerk tasks most exposed include: data entry, invoice processing, appointment scheduling, document filing, and standard correspondence drafting.

  • • Examine shipment contents and compare with records, such as manifests, invoices, or orders, to verify accuracy.
  • • Requisition and store shipping materials and supplies to maintain inventory of stock.
  • • Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.

O*NET tasks for this occupation with the most observed Claude usage (Anthropic task data).

What AI can't do here

At 17% human bottleneck protection, the tasks that remain hardest to automate for Shipping clerk include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.

Main insulation channels: Non-routine work + High-stakes decisions — the work-context dimensions behind this occupation's human bottleneck.

Skills to focus on

Process OptimizationAI Tool ProficiencyInstitutional KnowledgeException Handling

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.

01

Workplace adoption

Leading sectors represented

Some listed industries have MOM sector adoption evidence; observed-sector average 57.5%.

02

Task structure

Task evidence limited

100% weighted task match · 0% effective coverage

03

Human advantage

Coordination and judgment still matter

At 17% human bottleneck protection, the tasks that remain hardest to automate for Shipping clerk include: exception handling for non-standard requests, institutional knowledge of internal processes, coordinating across departments, and managing sensitive information.

04

Hiring and demand

3.2% vacancy rate · 2026 Q1

Clerical, sales and service vacancies recovered slightly from Q4 but remained well below a year earlier. Hiring turnover slowed, retrenchment incidence stayed low, and six-month re-entry improved. In 2025, this broad occupation group had 1.9% time-related underemployment and 12.1% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed +0.1% to +3.9% from 2018 to 2023.

05

Career transitions

Land transport clerk

moderate modeled transition; outcomes still depend on skills, wages and openings.

06

Evidence strength

medium confidence

4 exposure sources · sensitivity 45–59/100 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.

02

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

3.2%

↓ 20.0% YoY

Hiring

2.1%

vs 1.4% resign

Retrenchment

0.7

per 1,000 · low

Re-entry

68%

find work in 12mo· -10.5pp

Clerical, Sales & Service Workers · 2026 Q1

Top Industries

Wholesale & Retail Trade
16%
Transportation & Storage
11%
Health & Social Services
10%

Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.

03

What You Can Do

Frequently asked questions

Will AI replace Shipping clerk?

Shipping clerk has an AI Exposure Rank of 55/100, meaning its work is more exposed to current AI capabilities than approximately 55% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 55/100 (Moderate). Median wage: SGD 3,320/month.

What is the AI exposure rank for Shipping clerk?

Shipping clerk has an AI Exposure Rank of 55/100, rated Moderate. It ranks higher than approximately 55% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.

What career transitions are available for Shipping clerk?

Shipping clerk has modeled transition pathways to related occupations. The strongest adjacent pathway is Stock records clerk, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.

How does Shipping clerk salary compare in the live market?

Shipping clerk earns a median gross wage of SGD 3,320/month in the live market (25th-75th percentile: SGD 2,600-4,218). This is 26% below median across all 562 scored occupations, and 4% above group median within Clerical Support Workers occupations.