MIT Study Reveals AI Could Replace 11.7% of US Workforce Worth $1.2 Trillion
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Not a developer? AI could still take your job, MIT study finds
AI's disruptive potential will vary across industries and jobs. When considering the specter of human workers losing their jobs to AI, most people will probably think of software engineers and other tech industry professionals in coastal cities like San Francisco and New York. But what if those
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MIT simulation shows AI can replace 11.7% of U.S. workers worth $1.2 trillion in salaries -- Iceberg Index tool shows jobs are affected in every state across the country
The Massachusetts Institute of Technology (MIT) and Oak Ridge National Laboratory (ORNL) created a labor simulation tool called the Iceberg Index to simulate the entire U.S. workforce and see how they are affected by artificial intelligence and the government's policies surrounding it. According to
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MIT study finds AI can already replace 11.7% of U.S. workforce
People walk on the campus of Massachusetts Institute of Technology in Cambridge, Massachusetts, April 15, 2025. Massachusetts Institute of Technology on Wednesday released a study that found that artificial intelligence can already replace 11.7% of the U.S. labor market, or as much as $1.2
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MIT study says agentic AI can already replace 11% of the US workforce
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. The trillion-dollar question: Is AI technology actually going to disrupt the job market in the US and elsewhere in the world? While the jury is still out, new speculative exercises are trying to
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MIT Report Claims 11.7% of U.S. Labor Can Be Replaced with Existing AI
Last week, Massachusetts Institute of Technology (MIT) published a study claiming that AI is already capable of replacing 11.7% of existing U.S. labor. It’s certainly the kind of eye-popping study guaranteed to get a lot of eyes on researchers’ work at a time of shaky faith in AI, as
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More job cuts on the way? MIT study claims AI could currently replace 12% of total US jobs market
MIT's study is a great tool for policymakers to target specific populations A new MIT study indicates 11.7% of the US labor market could currently be replaced by artificial intelligence, representing a loss of $1.2 trillion in wages across sectors like finance and healthcare. The study bases its
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MIT report: AI can already replace nearly 12% of the U.S. workforce | Fortune
Artificial intelligence is now advanced and cheap enough to perform work equal to nearly 12% of U.S. jobs, according to a new MIT study -- news that's likely further to intensify pressure on employers, workers, and policymakers to prepare for rapid shifts in business and the economy. MIT's
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AI can replace nearly 12% of U.S. workers: MIT study
A Dexmate robot demonstration at the Nvidia booth during the Nvidia GTC (GPU Technology Conference) in Washington, DC, US, on Wednesday, Oct. 29, 2025. (Kent Nishimura/Bloomberg via Getty Images) AI is able to replace nearly 12% of the U.S. workforce, according to a new study from the
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AI can already do the work of 12% of America's workforce, MIT researchers find
Megan Cerullo is a New York-based reporter for CBS MoneyWatch covering small business, workplace, health care, consumer spending and personal finance topics. She regularly appears on CBS News 24/7 to discuss her reporting. Artificial intelligence can do the work currently performed by nearly 12%
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MIT's new 'Iceberg Index' study claims AI already has the 'cognitive and administrative' capability to replace 11.7% of the US workforce
Have I ever mentioned that I, for one, welcome our new LLM overlords? No? Well, now I have and with that sentiment of self-serving surrender comes news from the researchers at MIT. They have a new way to measure how AI is going to impact the labour market, you see, and this "Iceberg Index" now
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MIT study finds AI is already capable of replacing 11.7% of U.S. workers
A new study from MIT that shows that AI might be poised to replace a lot more jobs than what initial estimates might predict. According to researchers, a hidden mass of data reveals that AI is currently capable of taking over 11.7% of the labor market. The new estimate comes courtesy of a project
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MIT: AI capability outpaces current adoption by five times
A new MIT study indicates artificial intelligence can perform work equivalent to 11.7% of U.S. jobs, potentially affecting 151 million workers. The research, conducted by MIT and Oak Ridge National Laboratory under Project Iceberg, estimates current AI systems could manage tasks representing 11.7%
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AI can already do the work of 12% of America's workforce, MIT researchers find
Megan Cerullo is a New York-based reporter for CBS MoneyWatch covering small business, workplace, health care, consumer spending and personal finance topics. She regularly appears on CBS News 24/7 to discuss her reporting. Artificial intelligence can do the work currently performed by nearly 12%
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MIT Says AI Can Replace 11.7% of US Workforce | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. That represents about $1.2 trillion in wages tied to potentially automatable
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AI already capable of replacing 11.7% of U.S. workforce, MIT study finds (SP500:)
A new study released by the Massachusetts Institute of Technology revealed that artificial intelligence can already replace 11.7% of the U.S. labor market, potentially impacting $1.2 trillion in wages across finance, healthcare, and professional services. The research, conducted using a labor MIT
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Artificial Intelligence Can Already Replace 12 Percent of U.S. Jobs, MIT Study Finds
Meanwhile, one of the 'godfathers' of AI warns that the new technology will destroy millions of jobs and create massive unemployment. A new study from MIT suggests that artificial intelligence could already replace nearly 12 percent of the U.S. labor market, affecting jobs that account for as much
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A comprehensive MIT study using advanced simulation technology finds that existing AI systems could already replace nearly 12% of the US workforce, affecting jobs far beyond the tech sector in areas like HR, finance, and administration across all 50 states.
MIT Unveils Comprehensive AI Workforce Impact Study
Massachusachusetts Institute of Technology has released groundbreaking research revealing that artificial intelligence systems could already replace 11.7% of the United States workforce, representing approximately $1.2 trillion in wages across multiple industries
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. The study, dubbed "Project Iceberg," challenges conventional wisdom about AI's impact being limited primarily to technology sector jobs.The research utilized advanced simulation technology powered by the Frontier supercomputer at Oak Ridge National Laboratory in Tennessee, creating what researchers describe as a "digital twin" of the entire US labor market
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. This sophisticated modeling system tracks 151 million individual workers as autonomous agents, mapping their skills, tasks, occupations, and geographic locations across more than 32,000 workplace skills and 923 occupations in 3,000 counties nationwide.Beyond the Tech Sector: Hidden Automation Potential
Contrary to popular assumptions that AI disruption would primarily affect software engineers and other technology professionals in coastal cities, the MIT study reveals a dramatically different landscape. Current AI adoption strategies focus on a relatively small segment comprising only 2.2% of the workforce, primarily in visible technology roles
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. However, the research indicates that existing AI systems possess capabilities extending far beyond these obvious targets.The study identifies significant vulnerability in roles that blend routine data-processing functions with human interaction, including positions in human resources, logistics, finance, and office administration
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. These white-collar positions span across all 50 states rather than being concentrated in traditional tech hubs, suggesting that workforce preparation strategies based solely on technology sector signals may substantially underestimate transformation potential.The Iceberg Index: A Policy Planning Tool
The research team developed the Iceberg Index as more than just an academic exercise—it serves as a practical policy planning instrument for government officials and business leaders. "Basically, we are creating a digital twin for the U.S. labor market," explained Prasanna Balaprakash, ORNL director and co-leader of the research
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. The index enables population-level experiments that reveal how AI reshapes tasks, skills, and labor flows before these changes manifest in the real economy.The simulation tool provides granular analysis capabilities, offering county-specific and even census block-level data about skill automation likelihood and potential economic impacts
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. This detailed mapping allows policymakers to identify exposure hotspots, prioritize training and infrastructure investments, and test interventions before committing substantial resources to implementation.Related Stories
State-Level Implementation and Validation
Three states—Tennessee, North Carolina, and Utah—have already partnered with MIT and ORNL to validate the model using their own labor data and are actively using the platform for policy planning
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. North Carolina state Senator DeAndrea Salvador, who collaborated closely with MIT on Project Iceberg, emphasized the tool's value in testing various AI workforce scenarios before committing taxpayer resources to specific policies.The regional approach proves particularly important for areas with different economic compositions. Rust Belt states like Ohio and Michigan, for example, have modest tech presence but significant white-collar manufacturing jobs in financial analysis and administrative coordination
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. The study suggests that mainstream narratives about job disruption in these regions are misleading because they overemphasize the technology industry while overlooking other sectors vulnerable to AI transformation.Limitations and Future Applications
Researchers acknowledge that the Iceberg Index cannot predict precisely when or where specific jobs will be eliminated
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. Instead, it provides a skills-centered snapshot of current AI capabilities and offers structured scenarios for policy exploration. The study's findings are correlational rather than causal, with external factors including state investment, infrastructure, and regulation mediating how AI capability translates to actual workplace impact.Despite these limitations, the researchers argue that policymakers cannot afford to wait for causal evidence of disruption before preparing responses. The study serves as both a warning about AI's broader reach and a practical tool for workforce preparation, enabling proactive rather than reactive approaches to technological transformation across diverse regional economies.
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