Recent data from Tufts University projects that AI-driven job loss over the next few years could amount to \u201ca wipeout equivalent to the economy of Belgium.\u201d<\/p>\n
Photo illustration by Justin Morrison\/Inside Higher Ed | GaudiLab\/iStock\/Getty Images | alvarez and cofotoisme\/E+\/Getty Images<\/p>\n
In the three-plus years since large language models went mainstream, college students have been inundated with the tech sector\u2019s gloomy predictions that artificial intelligence is coming for their jobs. And so far in 2026, those predictions have only become more extreme.<\/p>\n
In February, Microsoft\u2019s AI chief declared that all white-collar work would be automated within 18 months<\/a>. Soon after, Anthropic\u2019s CEO doubled down on earlier assertions that AI could wipe out half of all entry-level white-collar jobs by the end of the decade, describing this moment as humanity\u2019s \u201crite of passage.\u201d<\/p>\n But big tech companies aren\u2019t the only ones analyzing and forecasting how the widespread adoption of AI-powered products is reshaping the labor market. <\/p>\n Last month, researchers at Tufts University published \u201cWhen Wired Belts Become the New Rust Belts: AI and the Emerging Geography of American Job Risk<\/a>,\u201d which ranks occupations, industries, regions and states by vulnerability \u201cbased on the most current understanding of AI\u2019s evolving impact.\u201d <\/p>\n While not as severe as the tech sector\u2019s predictions, the index projects that roughly 6\u00a0percent of jobs are vulnerable to AI-driven elimination within the next two to five years, amounting to \u201ca wipeout equivalent to the economy of Belgium\u201d or even \u201cjust shy of the economy of South Korea,\u201d if adoption of agentic AI tools increases. <\/p>\n Some workers\u2014and prospective workers\u2014should be more worried than others, the report says. <\/p>\n According to the report, the information, finance and insurance, and professional, scientific and technical services sectors are most vulnerable, with a quarter of job losses expected to come from just eight occupations. The most vulnerable include writers and authors, computer programmers and web and digital interface designers, who all face job losses of more than 50\u00a0percent. Meanwhile, 38\u00a0percent of jobs are still considered AI-proof. However, many of those are lower-paying and don\u2019t require a college degree\u2014such as roofers, school bus drivers and medical assistants\u2014putting \u201cthe safe zone\u201d at the \u201cnear-poverty zone,\u201d noted the report.<\/p>\n The report also projects that major metro areas and college towns will face the highest rates of displacement, with four in 10 AI-related job losses located in California, Florida, Illinois, New York and Texas. <\/p>\n \u201cAI-driven job vulnerability is uneven but material,\u201d the authors of the report wrote. \u201cEven as the technology continues to evolve\u2014with breakthroughs and setbacks alike\u2014and as organizations and workers adapt in real time, the broad outlines of the emerging geography of American job risk due to AI are becoming clear.\u201d<\/p>\n Although the report\u2019s projections about AI-related job displacements offer some new insight, it builds on a growing body of academic research. Over the past year or so, researchers at Yale<\/a>, Stanford<\/a> and the Massachusetts Institute of Technology<\/a> have published reports about which career fields are most exposed to AI-driven automation or augmentation. <\/p>\n So far, jobs related to writing and coding\u2014among others that often require a college degree\u2014have consistently ranked highest. <\/p>\n No matter how alarming or disruptive these findings may be to higher education institutions preparing students for the workforce, job-market experts say colleges and universities can\u2019t afford to ignore these emerging projections about AI. <\/p>\n \u201cJob loss is going to happen,\u201d said Gad Levanon, chief economist of the Burning Glass Institute, a nonprofit research group focused on the future of work. \u201cI wouldn\u2019t be surprised if we are at the beginning of decades of job displacement caused by AI.\u201d<\/p>\n Instead of avoiding or minimizing the issue, \u201cuniversities should acknowledge that things are changing very rapidly and do the best they can to prepare their students for the new labor market.\u201d <\/p>\n Although the data about AI-related job-loss projections could always be more nuanced, Tiffany Hsieh, a senior director in the Center for Artificial Intelligence and the Future of Work at Jobs for the Future, said the information in the Tufts report and others can inform institutional priorities or changes in response to the integration of AI. <\/p>\n \u201cWe have enough of a sense from the existing body of research that there is a disruption coming,\u201d she said. \u201cWe\u2019re starting to see an alignment on where the occupational impacts will be, and we need to act now because our systems aren\u2019t set up to move very quickly. [Higher education] needs to think about what we can do now to fuel the changes that need to happen when this disruption actually comes. We don\u2019t want to be caught flat-footed.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Recent data from Tufts University projects that AI-driven job loss over the next few years could amount to…\n","protected":false},"author":2,"featured_media":334,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,501,76,293,500,382,66],"class_list":{"0":"post-333","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-career","11":"tag-education","12":"tag-events","13":"tag-higher","14":"tag-jobs","15":"tag-news"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=333"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/333\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/334"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}