knowledge-worker-salaries

Name: knowledge-worker-salaries
Rating: 5 (608 reviews)
Author: danielmiessler

Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.

TL;DR

Global knowledge worker salary data with market value, sector, and geographic breakdowns. High confidence U.S. data, medium global confidence.

What Is It

Comprehensive global knowledge worker salary data
Total market value calculations by region and sector
Geographic and sector-based salary comparisons
AI/ML skills premium (30-50%) over non-AI roles

Key Features

U.S. total compensation: $10-11 trillion (85% confidence)
Global total compensation: $50-70 trillion (65% confidence)
Sector-specific salary ranges (tech, finance, healthcare, etc.)
Geographic salary variations (U.S., Europe, Asia-Pacific, etc.)
AI/ML roles earn 30-50% premium over non-AI roles
Includes wage, benefit, and equity compensation components
Data from BLS, OECD, ILO, Dice, Glassdoor, McKinsey, etc.
Methodology uses 10 parallel research agents

How to Use

1.Load full PAI context before using the skill
2.Use for salary benchmarking and sector comparisons
3.Reference total market value in economic analysis
4.Apply to policy discussions on workforce compensation
5.Query specific roles (e.g., software engineer, AI/ML engineer)
6.Access data via read command to file

Guardrails & Gotchas

Must load PAI context first
U.S. data has high confidence (85%)
Global data has medium confidence (65%)
Avoid extrapolating beyond source scope
Do not use for non-compensation topics

GitHub Stats

Author

@danielmiessler

Repository

danielmiessler/Substrate

Stars

608

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