The Iceberg Index: Measuring Workforce Exposure in the AI Economy
Project Iceberg finds artificial intelligence is affecting the U.S. workforce more than expected. Using the new Iceberg Index, researchers measured the wage value of tasks AI can perform for 151 million workers. While only 2.2 percent of wage value is in visible tech jobs, hidden exposure reaches 11.7 percent, or $1.2 trillion, across all regions. The Index helps policymakers spot risks early, though it measures potential exposure, not actual job losses, and excludes physical robotics.
What it examines
This paper introduces the Iceberg Index, a new way to measure how artificial intelligence (AI) overlaps with human job skills across the U.S. workforce. Using large-scale simulations, it helps policymakers see where AI could impact jobs before changes happen, focusing on skills rather than just job titles.
What it concludes
The Iceberg Index reveals that AI's impact goes far beyond technology jobs, affecting many white-collar roles nationwide. Policymakers can use it to guide training and investments, prepare for future changes, and test strategies before spending money. Future work will expand to physical automation and deeper adoption modeling.
Evidence objects
Project Icebergs new Iceberg Index reveals AIs impact on the U.S. workforce is far deeper than expected, quantifying wage value exposure across 151 million workers, 32,000 skills, and 3,000 counties.
key_findings bullet 1 · key_findings · validation V0
Surprisingly, visible AI adoption in tech jobs is just 2.2% of wage value, but hidden technical exposurewhere AI could automate cognitive and administrative tasksreaches 11.7%, or about $1.2 trillion, nationwide.
key_findings bullet 2 · key_findings · validation V0
The study uses advanced agent-based modeling and high-performance computing, mapping billions of human-AI skill interactions. The Index predicts potential exposure, not actual job losses, and excludes physical robotics for now.
key_findings bullet 3 · key_findings · validation V0
Introducing the 'Iceberg Index,' this paper offers a novel, skills-centered metric for assessing workforce exposure to AI, employing moderately original agent-based simulations. While innovative in labor economics, its macro-level focus limits direct relevance to hedge fund AI adoption, making it compelling for workforce planning but less so for quantitative finance.
key_findings bullet 4 · key_findings · validation V0
Raw abstract and provenance
- … –AI labor market, representing 151 million workers as autonomous agents executing over … Financial institutions deploy AI for document processing and analytical support. …
Source row: 1947 · abstract type: snippet