AI Work Index

Structural pressure

15%

Moderate Risk

Likely range

9–21%

Chief of Staff

Supports executive leadership with strategic initiatives, cross-functional coordination, and operations

This model suggests AI is more likely to enhance Chief of Staff than replace it. high exposure, but strong human bottlenecks mean AI augments rather than substitutes.

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Augmented High Confidence 3-component blend
Higher risk than 54% of occupations
Pressure 15%
Market 60%
Confidence 84%
Human Moat High

Why This Score

AI Capability Overlap Increases risk

77% of tasks overlap with current AI

Human Coordination Reduces risk

75% human advantage from judgment & presence

Local Hiring Demand Reduces risk

60% demand buffer from SG labour market

Observed AI Adoption Reduces risk

AI usage 11pp below theoretical exposure

These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.

Net Displacement Risk 15%

Blended across 3 occupations using the same score logic as an occupation page. How this works

Tasks AI can handle

Predictive maintenance scheduling, safety checklist automation, inventory management, and remote monitoring via sensors.

Where humans stay essential

Physical dexterity on job sites, real-time environmental adaptation, operating heavy equipment safely, and handling unexpected on-site conditions.

Skills to focus on

Hands-On ExpertiseOn-Site Problem SolvingSafety ProtocolsEquipment Proficiency

Common tools in similar work

Atlassian JIRAIBM SPSS StatisticsIntuit QuickBooksAdobe InDesign

Blended from O*NET matches across 3 component occupations.

Singapore Reality

Current Singapore signal

Labour now, industry footprint, and a directional 12-month read.

Weak market

The Professionals, Managers, Executives & Technicians labour market is weak. Vacancy rate is 3.1% and was essentially flat versus last quarter. recruitment is running above resignation (1.5% vs 0.9%). live job ads are active, with 24 visible postings in the last 30 days. employer pressure is moderate.

Vacancy rate

3.1%

↓ 3.1% year-on-year

Hiring balance

1.5%

recruit vs 0.9% resign

Retrenchment

1.5 per 1,000

Low incidence

Professionals, Managers, Executives & Technicians data · Q4 2025 full

Top Industries

Where this work is concentrated

Financial & Insurance Services

↓ cooling
15%

Public Administration & Education Services

14%

Professional Services

→ stable
12%

Top 4 vacancy sector

Industry vacancy overlays use the latest published detailed cross-tab (2025 QQ), which can lag the main labour monitor.

12-Month Outlook

Rule-based, not a prediction

Stable
Displacement Resilient
Augmentation Under Pressure
Demand Watch
Wage Pressure Watch

What To Do Next

Offset potential: Medium Separate from the core score. This is a blended estimate of how much demand, redesign room, and transition support could cushion pressure.

This estimated role shows some offset potential, but it depends on demand and transition pathways holding up across the blended occupation set.

Demand support: Low Transition support: Medium Reallocation room: High Switching friction: High

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.

Blended from 3 component occupations. This remains a heuristic support layer rather than a direct measure of realised reinstatement.

Blended from 3 component occupations; anchored on Administration manager.

Compare with similar roles or occupations

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Structural AI exposure scores, not employment predictions. Methodology

V4.1 structural score · 2024 wages · Q4 2025 full live monitor · 562 occupations · 88 roles

Latest official labour release: MOM Labour Market Report Q4 2025 (2026-03-20)

Made by Kirill So · Built with Claude & GPT
MIT Licensed · Open Source · Structural release V4.1 · Updated 2026-03-20