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    Home»Business»How AI became the scapegoat for the current wave of mass layoffs
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    How AI became the scapegoat for the current wave of mass layoffs

    The Daily FuseBy The Daily FuseNovember 11, 2025No Comments11 Mins Read
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    How AI became the scapegoat for the current wave of mass layoffs
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    With a brand new season of mass layoffs upon us, it appears company America has discovered a brand new scapegoat. 

    When Amazon just lately disclosed that upcoming layoffs would impact 14,000 corporate jobs, the tech large mentioned the cuts would assist make Amazon leaner. 

    “This technology of AI is essentially the most transformative know-how we’ve seen because the web, and it’s enabling firms to innovate a lot quicker than ever earlier than,” HR chief Beth Galetti mentioned in a memo. (Amazon CEO Andy Jassy has since clarified that the layoffs are pushed by tradition, not AI or the underside line.) 

    Different tech firms like Microsoft have trimmed headcount this 12 months to the tune of over 15,000 layoffs, all of the whereas sinking billions of {dollars} into AI investments. “To ship on our mission, we have to keep centered on our three enterprise priorities: safety, high quality, and AI transformation,” Microsoft CEO Satya Nadella told employees after a big spherical of layoffs in July. “We’re doubling down on the basics whereas persevering with to outline new frontiers in AI.”

    Company behemoths like Goal and UPS have made vital cuts to their workforce in current months whereas framing AI as a key component of efforts to show round their enterprise. The layoffs at Goal are the primary main cuts to its workforce in a decade, eliminating 1,800 company roles; UPS, then again, has slashed 48,000 jobs over the course of the 12 months, most of which have focused drivers and warehouse employees. Incoming Goal CEO Michael Fiddelke has shared that considered one of his key priorities is to “extra totally use know-how to enhance our pace, visitor expertise and effectivity all through the enterprise.” Throughout an earnings name final month, CEO Carol Tomé famous that UPS would make fewer seasonal hires and in the reduction of on car leases, and that “a lot of this effectivity is powered by automation.”

    The previous month has seen an uptick in layoffs throughout the enterprise world: Over 150,000 jobs have been reduce in October alone, according to a tally by the outplacement agency Challenger, Grey & Christmas—essentially the most in October since 2003. Synthetic intelligence was some of the widespread explanations for layoffs, an in depth second to the standard excuse of lowering prices. All this has fueled issues that AI is, in actual fact, coming on your job—maybe before you anticipated. 

    However consultants say there’s little information to help this narrative, regardless of what the current job cuts would possibly counsel. 

    On this Premium story, readers will study:

    – Why so many firms are blaming AI for his or her layoffs

    – What’s actually occurring with the labor market—and whether or not your job is at stake

    – How AI may very well affect the way in which you’re employed

    The AI ‘meltdown’

    “Statements from CEOs are in regards to the worst method to consider the affect of AI on the labor market,” says Martha Gimbel, govt director of the Funds Lab at Yale College.

    Gimbel coauthored a recent analysis with the Brookings Establishment and the Funds Lab, which discovered that the rise of generative AI has had little impact on the labor market up to now: Within the three years since ChatGPT launched to the general public, the share of employees in jobs which might be most weak to disruption has remained kind of unchanged. 

    Unemployment figures additionally help these findings, with little indication that AI is displacing employees—no less than not but. In actual fact, the evaluation exhibits that adoption of AI has been pretty corresponding to how earlier new applied sciences, like computer systems and the web, permeated the office.

    “I believe that’s shocking to the general public, and it’s shocking given the tenor of the dialog,” says Brookings senior fellow Molly Kinder, who additionally labored on the report.  

    “However it’s actually not shocking if you consider how exhausting it’s to implement this within the office. There’s a extremely huge hole between how briskly the know-how itself goes and the messy, slower tempo of workplaces determining the right way to use it past a pilot.”

    There are, in fact, legit fears about how AI can (and can) upend the way in which we work. Public opinion polling signifies that few People—simply round 15%—consider the know-how could have a optimistic affect within the coming years, whereas 64% of most of the people expects to see job losses because of AI. However Gimbel posits these issues could also be overshadowing the true dynamics of the labor market and perpetuating a deceptive narrative. 

    “I believe everyone seems to be so freaked out about AI—and they’re so itchy that if there’s the phrase ‘layoffs’ and the phrase ‘AI’ inside two miles of one another, everybody has a meltdown,” she says. 

    “I get why that is so nerve-racking to individuals. However the cart is not only earlier than the horse. The haystack is eight miles in entrance of the horse.”

    The (extra advanced, extra boring) reality

    So what ought to we make of claims that AI is catalyzing a seismic shift throughout the workforce? 

    For starters, Massive Tech is no stranger to mass layoffs. Even when the tech business does make main cuts, nonetheless, they account for only a fraction of layoffs throughout the labor market, in accordance with consultants. Gimbel factors out that the U.S. has about 1.7 million layoffs and discharges every month, per data from the Bureau of Labor Statistics. “There may be a number of consideration that goes to layoffs in Silicon Valley for a variety of causes,” she says, “however we should always not child ourselves about how huge these layoffs are within the context of the broader U.S. financial system.” 

    Tech firms are additionally liable to overhiring after which culling the ranks when the financial system takes a flip, as has been the case throughout the business because the pandemic. For a few of these firms—together with Microsoft and Amazon—layoffs are additionally the results of a need to get rid of center managers, who actually can’t be supplanted with AI in the intervening time, Kinder says. 

    “There’s no query in my thoughts that Amazon will search for labor-saving potentialities,” she explains, “but it surely’s not apparent to me that AI proper now could be adequate to exchange center administration.” (Amazon instructed Quick Firm the layoffs have been a continuation of the corporate’s efforts to scale back paperwork and that the overwhelming majority of cuts weren’t linked to AI.) In actual fact, Kinder believes firms and enterprise leaders are doing themselves a disservice by suggesting AI is driving layoffs or that staff’ jobs is likely to be in danger in the event that they don’t rise up to hurry on the know-how. “There’s a really robust enterprise case for why you shouldn’t simply scare the pants off of your staff,” she says. “The best way that firms are selecting to guide on that is actually anti-worker, for my part.”

    Given the hype round generative AI, Kinder argues that many employers are scrambling to maintain up and need to appear to be they’re innovating. “It makes firms look good to their shareholders, to counsel ‘we’re deploying AI so effectively [that] we are actually chopping our labor prices,’” she says. 

    “CEOs are wanting over their shoulder saying, ‘Oh, my gosh. How is it that my opponents have discovered the right way to reduce a bunch of their employees? I haven’t discovered these effectivity positive factors but.’” 

    In the meantime, main tech firms are personally invested in widespread AI adoption. “These are firms who’re within the enterprise of promoting these companies,” Kinder provides. “It’s solely attainable that AI actually is a part of the story, however I believe we have to have a dose of skepticism about a few of the motivations they’ve for being so loud and proud.”

    Actual disruption

    That’s to not say AI has had no affect, or that it’s not already reshaping sure jobs. 

    Klarna was among the many first firms to brazenly speak about how embracing AI had enabled a whole lot of job cuts; in Could, CEO Sebastian Siemiatkowski disclosed that Klarna had diminished its headcount by 40%, partially because of AI. (It’s value noting that Klarna had slowed hiring total and was gearing up for an IPO—and within the months since, Siemiatkowski admitted that “in a world of AI, nothing might be as priceless as people” and reportedly reshuffled employees to fill customer support roles.) Salesforce CEO Mark Benioff claimed the corporate was in a position to reduce 4,000 customer support roles due to its AI-powered chatbots, and that Salesforce relies on AI for as much as 50% of its work. Tripadvisor is laying off 20% of its staff as a part of a restructuring that may lean extra closely on AI. And simply final month, YouTube started offering voluntary buyouts amid a restructuring that may allow the corporate to dedicate extra sources to AI innovation. 

    There are additionally indicators that entry-level jobs could also be beneath siege amid fast advances in AI, notably in industries like tech and finance the place there’s a excessive fee of adoption. A recent paper from Stanford College’s Institute for Human-Centered Synthetic Intelligence discovered that early-career employees in jobs which might be most weak to AI disruption—software program engineering and customer support, for instance—have seen a 13% decline in employment since late 2022. (Employment charges for different entry degree jobs, nonetheless, stay unchanged or proceed to develop.) 

    It’s additionally tough to quantify how AI is altering the character of jobs, Gimbel says, even when these jobs usually are not being eradicated outright. AI might change or heavily augment HR roles and different again workplace features, and it’s already clear that the know-how is reworking fields like software program engineering.

    However many economists and different consultants consider it’s unlikely that AI is the driving power behind the mass layoffs which might be presently underway, notably at huge tech firms—one thing that Jassy himself acknowledged this week. 

    The true clarification is, maybe, much less attention-grabbing. 

    “An actual rush to ascribe every thing to AI”

    Goal, for instance, has confronted client boycotts and backlash this 12 months over its retreat from DEI. However its monetary woes predate those issues. Many firms, together with UPS, have been hit exhausting by tariffs. (Goal and UPS didn’t reply to requests for remark.) 

    Beneath the Trump administration, the enterprise world has to cope with bigger macroeconomic forces, between the tariffs and coverage uncertainty. “There’s an actual rush to ascribe every thing to AI,” Gimbel says. “For those who requested me what was the largest headwind dealing with the labor market proper now, I might not checklist AI. My number-one subject for the labor market can be immigration.” 

    Within the present local weather, it might not be politically expedient for CEOs to name consideration to the true challenges which might be driving layoffs and turmoil throughout their workforce. AI is likely to be a extra handy excuse for layoffs, and one which will bear out as firms work out what to do with it.

    However there’s not but sufficient readability on how AI might be most successfully harnessed by companies, regardless of what leaders—notably these in Silicon Valley—would possibly say in regards to the know-how’s potential to revolutionize work. 

    “I need to be clear: It’s not the case that there are not any makes use of for the know-how,” Gimbel says. “It’s not the case that there are not any firms who’ve discovered the right way to monetize it. It’s not the case that no employee has misplaced their job to generative AI within the U.S.”

    “I’m saying if you take a look at the present macro financial system, there’s not an indication that it’s actually having any form of main affect proper now. That’s partly as a result of individuals are simply not serious about what it takes for firms to include new know-how: It takes time.”



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