CNBC's MacKenzie Sigalos reports on the latest study from MIT on AI's potential impact on the workforce.

The release of Open AI's ChatGPT has accelerated the development of artificial intelligence and warnings about its impact on society.

Rise of AI

Researchers at MIT have developed the 'iceberg index,' a tool that uses digital clones of 151 million American workers to assess the risk of AI-driven job displacement. The study finds that AI is currently capable of taking over tasks associated with nearly 12% of the U.S. workforce, representing about $1.2 trillion in wages, with significant exposure in healthcare, finance, and professional services.

The index provides detailed, localized data to help lawmakers and states plan reskilling and training investments before disruptions occur. States such as Tennessee, Utah, and North Carolina are already using the tool to test new workforce policies, and Tennessee has created its own dashboard to track occupational exposure and wage effects.

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

Welcome back. Researchers at MIT just out with a new study about A.I. and productivity and just how many jobs could be at risk. Mackenzie Sagal is joins us with that story. Market pays attention to these MIT studies on A.I. Yeah. The last one on 95 percent of enterprise you know adoptions of A.I. not working out now. MIT has built agent clones of one hundred and fifty one million working Americans essentially software counterparts to real people in order to identify which jobs are most at risk years before layoffs. Now it's called the iceberg index and it uses these agents to map more than thirty two thousand skills across nine hundred and twenty three occupations in three thousand counties revealing exposure to A.I. displacement in every state not just coastal cities. The report shows that while only 2 percent of A.I. driven wage disruption is visible in tech hubs today there's actually a hidden layer of exposure that is five times larger than what we see today cutting across industries and geographies hence why they call it the iceberg index. Now findings indicate that A.I. can already take over tasks tied to nearly 12 percent of the U.S. labor market. That's about one point two trillion dollars in wages especially in careers tied to health care finance and professional services for lawmakers preparing billion dollar reskilling and training investments. The index offers a detailed map of where disruption is forming down to the zip code and crucially a way to run. What if scenarios before they commit real money and legislation. You've got states like Tennessee Utah and North Carolina also co-authors on this new report that are already using iceberg to test everything from new training programs to skills first hiring rules before they formally commit to policies and spending. Guys. I'm amazed at this story. Mackenzie and this money quote that you use where they argue that we're basically creating a digital twin for the U.S. labor force. But the researchers do stress that this isn't a countdown clock to layoffs. It's more of an early warning map so that policymakers can move money and training around before the shock hits. And so the coolest component of this report is the fact that the iceberg team has built an interactive simulation environment that allows states to actually experiment with different policy levers from shifting workforce dollars and tweaking training programs to actually exploring how changes in tech adoption might actually affect local employment and GDP. Tennessee has been the furthest along with this. They've actually built their own A.I. and work dashboard that tracks occupational exposure and wage effects across the state. And that's helping currently to guide its policy and spending decisions. All right well let's hope Elon Musk is right then that money that we won't need money or jobs because work is optional. Work is going to be like growing vegetables. Yeah that would pair nicely with us. Thank you Mackenzie.

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Tai Po District

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Brasília

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Khartoum

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Kyiv

Ukraine Invasion

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Moscow

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Nha Trang

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Middle East Conflict

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London

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Niger

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

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