# mit-iceberg-index-ai-workforce-impact-cnbc-2025-11-26

## Veille

MIT Study - Iceberg Index - AI Workforce Impact - Labor Market Disruption - Policy Simulation - Economic Modeling - Workforce Transformation - Automation Risk - Skills Mapping - Regional Analysis

## Titre Article

MIT study finds AI can already replace 11.7% of U.S. workforce

## Date

2025-11-26

## URL

https://www.cnbc.com/2025/11/26/mit-study-finds-ai-can-already-replace-11point7percent-of-us-workforce.html

## Keywords

MIT, Iceberg Index, AI Workforce Impact, Labor Market, Automation, Workforce Disruption, Policy Simulation, Economic Modeling, Skills Analysis, Regional Impact, AI Adoption, Job Exposure, Reskilling, Upskilling, Labor Policy, Economic Transformation, AI Risk Assessment, Workforce Planning, State Policy, Tennessee AI Plan, Utah AI Strategy

## Authors

MacKenzie Sigalos (CNBC), Research by Massachusetts Institute of Technology and Oak Ridge National Laboratory

## Ton

**Profile**: Economic and technology journalism (CNBC), third person, informative and factual register, accessible intermediate technical level

An economic news article reporting the findings of an academic study. The tone is factual and data-driven, relying on the iceberg metaphor (visible vs. hidden impact) to popularize complex modeling work. Authority stems from the institutional sources cited (MIT, Oak Ridge National Laboratory) and quantitative data. Target audience: policymakers, business leaders, and labor market observers.

## Pense-betes

- **Iceberg Index**: digital twin of the U.S. labor market developed by MIT — models 151 million workers as individual agents, maps 32,000 skills across 923 occupations in 3,000 counties.
- **Main finding**: current AI can already replace 11.7% of the U.S. workforce, i.e. $1.2 trillion in exposed wages.
- **Iceberg metaphor**: visible portion (2.2%, tech/IT layoffs, $211 billion) vs. hidden portion (9.5%, routine functions in HR, logistics, finance, administration).
- **National impact**: all 50 states are affected, including rural regions — not just coastal tech hubs.
- **Computing power**: provided by the Frontier supercomputer at Oak Ridge National Laboratory.
- **Pilot states**: Tennessee (Iceberg Index integrated into the AI Workforce Action Plan), Utah (report in preparation), North Carolina (county-level analysis).
- **Use**: policy experimentation tool ("sandbox") for testing "what-if" scenarios before implementation — targeted reskilling, investment prioritization.
- **Positioning**: a proactive, data-driven approach that identifies disruptions before they appear in the real economy.

## RésuméDe400mots

A MIT study, conducted with Oak Ridge National Laboratory and reported by CNBC, reveals that artificial intelligence can already replace 11.7% of the U.S. workforce, representing $1.2 trillion in wages. The analysis is based on the Iceberg Index, a simulation tool that acts as a digital twin of the labor market: it models 151 million American workers as individual agents, each with their own skills, tasks, occupation, and location, and maps 32,000 skills across 923 occupations in 3,000 counties.

The iceberg metaphor structures the findings. The visible portion of the impact (2.2% of the workforce, $211 billion) corresponds to layoffs already observed in tech and IT. The hidden portion, far more massive (9.5%), concerns routine functions in human resources, logistics, finance, and administration — jobs that are exposed but whose disruption does not yet appear in the statistics. Contrary to common assumptions, the impact is not limited to coastal tech hubs: all 50 states are affected, including rural regions often overlooked in discussions about AI.

The large-scale computation is made possible by the Frontier supercomputer at Oak Ridge National Laboratory. The tool stands out from traditional approaches through its granularity (county-level, even zip-code-level analysis), its proactivity (identifying disruptions before they appear in economic data), and its experimentation capability: policymakers can test "what-if" policy scenarios before implementation.

Several states are already adopting it. Tennessee has integrated the Iceberg Index into its AI Workforce Action Plan, targeting healthcare, nuclear energy, manufacturing, and transportation, with a strategy of using robotics and AI assistants to strengthen rather than hollow out industries. Utah is preparing a report based on the tool to identify exposure hotspots and prioritize investments. North Carolina is working closely with MIT researchers on a county-level analysis of skills at risk of automation and the potential impact on the state's GDP.

The researchers position the Iceberg Index as an experimentation "sandbox" for continuous improvement, not as a finished product. The study nonetheless marks a turning point: it shifts preparation for AI-driven labor market transformation from a reactive approach to a proactive, granular, and data-driven strategy.

## GrapheDeConnaissance

- MIT —a_créé→ Iceberg Index (TECHNOLOGIE, 0.98)
- Iceberg Index —s_applique_à→ 151 millions de travailleurs américains (CONCEPT, 0.95)
- IA —remplace→ 11.7% de la main-d'œuvre américaine (CONCEPT, 0.92)
- Oak Ridge National Laboratory —permet→ puissance calcul supercalculateur Frontier (TECHNOLOGIE, 0.9)
- MIT —collabore_avec→ Oak Ridge National Laboratory (ORGANISATION, 0.92)
- Tennessee —utilise→ Iceberg Index (CONCEPT, 0.88)
- Iceberg Index —mesure→ 32 000 compétences cartographiées dans 923 professions (MESURE, 0.9)
- partie cachée impact IA —mesure→ 9.5% main-d'œuvre (fonctions routinières) (MESURE, 0.88)
- automatisation IA —observé_dans→ régions rurales (LIEU, 0.85)
- Iceberg Index —mesure→ 1,2 billion de dollars de salaires exposés à l'IA (MESURE, 0.9)
- Utah —utilise→ Iceberg Index (TECHNOLOGIE, 0.82)

---
Canonical: https://www.thekb.eu/en/fiches/mit-iceberg-index-ai-workforce-impact-cnbc-2025-11-26/