Q4 2024 Quarterly Report

AI Work Index — Quarterly Snapshot

This is an archived report surface for Q4 2024. It is rendered with the current V7 methodology and source registry, so later sources and labels may appear below. Read it as a historical snapshot rebuilt under the current pipeline, not as a period-authentic 2024 publication.

Occupations

562

Avg Net Risk

18.6%

In-Demand

SOL + Jobs in Demand

AI-Calibrated

507

Anthropic observed usage

Risk Distribution

How 562 occupations distribute across AI risk levels

Very Low

133

Low

165

Moderate

147

High

Very High

Highest Risk

1. Clearing and forwarding agent 76%2. Shipping agent/Boarding officer 74%3. Data entry clerk 70%4. Typist and word processing operator 68%5. Securities clerk 66%

Full list →

Augmented

1. Managing director/Chief executive officer 42%2. Company director 40%3. Chief operating officer/General Manager 37%4. Information technology trainer (extracurriculum) 37%5. Regional sales manager 35%

Full list →

Theory vs Practice

1. Building painter +75pp 2. Audiologist -65pp 3. Speech therapist -65pp 4. Library officer -64pp 5. Website administrator/Webmaster +60pp

Full list →

Labour Market Signals

Cluster-level vacancy and hiring data from MOM/SingStat

Professionals, Managers, Executives & Technicians

365 occupations ↓ -3.1%

Vacancy 3.1% weak

39.6 vacancies ↓ -4.3%

Clerical, Sales & Service Workers

88 occupations ↓ -11.4%

Vacancy 3.1% deteriorating

14.3 vacancies ↓ -12.8%

Production & Transport Operators, Cleaners & Labourers

109 occupations ↑ +16.7%

Vacancy 2.8% strong

21.7 vacancies ↑ +20.6%

Sources: MOM Singapore (wages, employment, vacancy, retrenchment), O*NET, Felten AIOE 2021, Pizzinelli/IMF 2023, Anthropic Economic Index Jan 2026, Eloundou GPT exposure, ILO occupational exposure, SOL 2026, Jobs in Demand 2025.

Rendered with the current V7 structural baseline. All scores remain deterministic and reproducible. Methodology · Download data