Technology

These Jobs Are Most at Risk of Being Replaced by AI

2025-11-27 12:03
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Several studies identify jobs spanning tech, finance and the services industry that are particularly vulnerable to AI replacement.

Hugh CameronBy Hugh Cameron

U.S. News Reporter

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Both advocates and sceptics agree that artificial intelligence is poised to drastically alter the structure of the American workforce, as the advancing technology becomes capable of replacing an ever-growing range of roles currently performed by humans.

According to a recently published study from the Massachusetts Institute of Technology (MIT), AI may already be able to replace 12 percent of American workers, representing about $1.2 trillion in wages.

Newsweek has contacted members of the research team for further comment.

Why It Matters

The U.S. economy has increasingly leaned into AI research and adoption, with some estimates suggesting private investments in the technology totaled almost half a trillion dollars over the past decade. Government backing has also grown, with President Donald Trump pledging billions toward AI and related energy investments, while voicing his intention to make the U.S. the "undisputed world leader in artificial intelligence."

However, this enthusiasm has been tempered by concerns from those who believe AI will cause an unrivaled disruption to the labor market, replacing both repetitive blue-collar jobs and more skilled roles, such as design and coding.

AI has already been linked to some of the layoffs that have swept the workforce this year, with Amazon touting the technology's "transformative" advancements upon announcing its plan to cut about 14,000 jobs.

What To Know

MIT researchers drew on a metric called the "Iceberg Index," designed to estimate AI exposure across the labor market.

Analyzing 151 million workers across 923 occupations in 3,000 counties, and covering more than 32,000 skills, researchers were able to predict how swiftly the technology's abilities might overlap with workers' occupational skills.

However, they make clear that the 12 percent estimate is a measure of "technical exposure—where AI can perform occupational tasks" rather than "displacement outcomes," adding that real-world labor impacts would depend on "firm strategies, worker adaptation, and policy choices."

"Current AI adoption concentrates in technology occupations representing 2.2 percent of labor market wage value," the study said. "Yet AI technical capability extends to cognitive and administrative tasks spanning 11.7 percent of the labor market."

The researchers highlighted several broad categories and sectors that were "AI-exposed," with key vulnerabilities including these:

  • Computing and technology—"software engineers, data scientists, analysts, program managers, and related roles where current AI adoption is concentrated"
  • Cognitive work, including financial analysis and administrative coordination
  • Finance, accounting and similar business‑services occupations
  • Professional services broadly, including in areas such as health care administration.

The analysis was limited to "technical and cognitive tasks," the researchers wrote, "where technology maturity and deployment patterns are observable." They added that the workforce implications of physical automation would "become increasingly relevant as capabilities mature."

...

A previous study, published by Microsoft in July, provided a more complete view of which occupations are vulnerable to AI replacement.

Microsoft assigned each an "AI applicability score" based on an analysis of 200,000 user conversations with its Copilot chatbot and identified the most exposed professions:

  1. Interpreters and translators
  2. Historians
  3. Passenger attendants
  4. Sales representatives of services
  5. Writers and authors
  6. Customer service representatives
  7. CNC tool programmers
  8. Telephone operators
  9. Ticket agents and travel clerks
  10. Broadcast announcers and radio DJs

Microsoft also listed the roles its analysis suggested were, for now, immune to AI replacement:

  1. Phlebotomists
  2. Nursing assistants
  3. Hazardous materials removal workers
  4. Helpers—painters, plasterers, etc.
  5. Embalmers
  6. Plant and system operators
  7. Oral and maxillofacial surgeons
  8. Automotive glass installers and repairers
  9. Ship engineers
  10. Tire repairers and changers

A Senate report released in October warned that emerging technologies "could destroy nearly 100 million U.S. jobs in a decade." The report, based on a ChatGPT-assisted analysis, was compiled by Democratic staffers of Senator Bernie Sanders of Vermont, and it included its own ranking according to the total number and share of potential job replacements:

  1. Fast food and counter workers, 89 percent
  2. Customer service representatives, 83 percent
  3. Laborers and freight, stock, and material movers, hand, 81 percent
  4. Retail salespersons, 62 percent
  5. Stockers and order fillers, 76 percent
  6. Cashiers, 59 percent
  7. Office clerks, general, 66 percent
  8. General and operations managers, 47 percent
  9. Secretaries and administrative assistants, except legal, medical, and executive, 80 percent
  10. Home health aides, 40 percent
  11. Janitors and cleaners, except maids and housekeeping cleaners, 61 percent
  12. Registered nurses, 40 percent
  13. Bookkeeping, accounting, and auditing clerks, 76 percent
  14. Waiters and waitresses, 53 percent
  15. Heavy and tractor-trailer truck drivers, 47 percent
  16. Accountants and auditors, 64 percent
  17. Personal care aides, 25 percent
  18. Team assemblers, 61 percent
  19. Software developers, 54 percent
  20. Teaching assistants, preschool, elementary, middle, and secondary school, except special education, 65 percent

What People Are Saying

The MIT study said in its conclusion: "The Iceberg Index provides measurable intelligence for critical workforce decisions: where to invest in training, which skills to prioritize, how to balance infrastructure with human capital. It reveals not only visible disruption in technology sectors but the larger transformation beneath the surface. By measuring exposure before adoption reshapes work, the Index enables states to prepare rather than react—turning AI into a navigable transition."

Entrepreneur and former presidential candidate Andrew Yang said in an interview with Newsweek: "I talk to CEOs all the time, and a lot of them tell me they are downsizing in many cases due to AI replacing entry-level workers in particular."

He added: "I don't think enough attention is being paid to various downsides of the advent of AI, from job replacement to the splintering of reality to rampant identity theft to the changing of hiring practices in a way that will systematically block certain folks that are not on the good side of various data points."

What Happens Next

Estimates regarding the labor market impact of AI adoption continue to vary widely. Some suggest that the effect will be qualitative—changing roles rather than eliminating them en masse—while others offer more concerning forecasts.

Management consulting firm McKinsey, for example, estimates that AI could perform the tasks done by about 40 percent of U.S. professions, having previously predicted that as many as 30 percent of jobs could be automated by 2030.

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