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From Tufts University Estimates Millions of Jobs Could Be Lost to AI

What could the AI-impact tracker mean for North America's labor market?

Possible What happens if… A possibility worth considering, not a forecast.

AI job loss risks could force major labor market and educational shifts across North America. The AI-impact tracker developed by Tufts University suggests that artificial intelligence could displace between 2.7 million and 19.5 million jobs nationwide, with a median estimate of 9.5 million jobs lost. This massive potential shift in labor demand, affecting white-collar and computer-heavy occupations, could necessitate significant systemic changes in education and workforce planning across North America. While the reports detail severe risks, such as a potential spike in unemployment to around 13%, other forecasts suggest a net increase in jobs globally by 2030, indicating a mixed long-term outlook for the continent.

Reported by 1 independent outlet Written Thursday
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How it reaches North America

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The facts so far

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  • AI was blamed for 193,226 layoffs nationwide or 20% of the total since the start of 2023, according to Challenger Gray & Christmas.fwweekly.com
  • Nationwide, 2.7 million to 19.5 million jobs could be lost to AI, according to the Tufts University AI-impact tracker.fwweekly.com
  • Total annual wages at risk could range from $200 billion to $1.5 trillion, with $750 billion as the midpoint.fwweekly.com
  • If all the workers in the 10% of occupations most susceptible to AI were laid off, it would increase overall unemployment from the current approximately 4% to around 13%.fwweekly.com

Why it matters

The potential scale of job displacement and wage risk is enormous, affecting nearly all demographics, including recent college graduates and older, female, and higher-paid workers. If the worst-case scenarios materialize, the labor market could face disruption comparable to the Great Recession of 2007-2009, requiring massive governmental and educational responses across North America.

However, the outlook is not uniformly negative. Some forecasts are optimistic, predicting a net increase of 1.7 million jobs worldwide by 2030 and a 4% growth in employment from 2023 to 2033. This contrast between severe risk and long-term growth means that the continent's response will depend heavily on how quickly and effectively new skills can be integrated into the workforce.

What we don't know yet

  • How will regulatory bodies in North America respond to the speed of AI-driven job displacement?
  • Will the growth of AI-related job postings, which currently total less than 2% of all hiring ads, be sufficient to offset losses?

What would change this answer

Governments across North America implement large-scale retraining programsThis could mitigate the negative effects of job loss, making the long-term outlook more positive.
The rate of AI adoption slows down significantlyThe pressure on the labor market would ease, reducing the risk of a major economic downturn.

Who else could feel it

Other possible ripples from the same event.

Reporting

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The full eventTufts University Estimates Millions of Jobs Could Be Lost to AI Everything aboutNorth America

Brind's analysis is written by AI from the reporting linked above and can be wrong. This explainer is a possibility worth considering, not a forecast: steps marked as Brind's reasoning are not stated in the reporting. It is not investment advice; do your own research.