AI Work Index

Structural pressure

58%

Very High Risk

Likely range

48–67%

Data Engineer

Designs and builds data pipelines, warehouses, and analytics infrastructure

Data Engineer shows mixed AI signals: high exposure, but also strong human dependencies and organizational friction.

Compare
Mixed High Confidence 4-component blend
Higher risk than 94% of occupations
Pressure 58%
Market 71%
Confidence 83%
Human Moat Low

Why This Score

AI Capability Overlap Increases risk

86% of tasks overlap with current AI

Human Coordination Reduces risk

13% human advantage from judgment & presence

Local Hiring Demand Reduces risk

71% demand buffer from SG labour market

Official Demand Signals Reduces risk

Listed on SOL & JiD — active government demand recognition

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

Net Displacement Risk 58%

Blended across 4 occupations using the same score logic as an occupation page. How this works

Tasks AI can handle

Running standard statistical analyses, generating charts, cleaning data, writing SQL queries, and producing summary reports from structured data.

Where humans stay essential

Framing the right question, identifying data quality issues, interpreting results in business context, communicating insights to non-technical stakeholders, and making judgment calls on methodology.

Skills to focus on

Problem FramingStatistical ReasoningStorytelling with DataDomain Contextualization

Common tools in similar work

AJAXAmazon DynamoDBAmazon Elastic Compute Cloud EC2Amazon Redshift

Blended from O*NET matches across 4 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 44 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

Public Administration & Education Services

18%

Financial & Insurance Services

↓ cooling
16%

Professional Services

→ stable
13%

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 Under Pressure
Augmentation At Risk
Demand Watch
Wage Pressure Under Pressure

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

What helps

  • Demand still persists through current labour or hiring signals.

What could slow it down

  • Current demand support is thin, so offsets may take longer to show up.

Blended from 4 component occupations. This remains a heuristic support layer rather than a direct measure of realised reinstatement.

Blended from 4 component occupations; anchored on Database administrator.

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