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Data That Earns Citations
The People Stack publishes citable AI workforce research — sourced from BLS, McKinsey, SHRM, and Gartner. Journalists, analysts, and community writers can embed our data, cite our statistics, and download our cost index. All content is freely usable under CC-BY 4.0.
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Key Statistics
Headline stats from AI Workforce Statistics 2026 and AI vs. Human Cost Index. All data citable under CC-BY 4.0.
82%
Lower cost for AI vs. fully-loaded human employees
AI Cost Index 2026, citing BLS OEWS × BLS ECEC multiplier
3×
Output from hybrid human-AI teams vs. all-human teams
McKinsey Global Institute, 2025
40–65%
Cost savings from hybrid workforce model vs. all-human
AI Workforce Statistics 2026, multiple function analysis
67%
Of companies piloting AI in talent acquisition (2025)
SHRM AI in HR Report 2025
1.43×
BLS employer cost multiplier for fully-loaded employee cost
BLS Employer Costs for Employee Compensation, Q3 2024
80%
Large enterprises projected to deploy AI workforce automation by EOY 2026
Gartner Future of Work 2025
45%
Of US workers using AI tools at work weekly (Q1 2026)
PeopleStackHub Research, Q1 2026 survey synthesis
Downloadable Data
AI Workforce Cost Index — CSV Export
Complete dataset: 62 role comparisons with fully-loaded human cost (
Download CSV
base_salary × 1.43), AI stack cost, hybrid configuration, and autonomy score. Updated monthly.
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Media Kit
Key Stats Document
One-page summary of headline stats with sources — ready to drop into an article.
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