The United States is in the middle of its harshest wave of corporate job cuts since the first year of COVID, with 1.17 m positions wiped out in less than a year and a growing share of those losses tied directly to artificial intelligence. Behind that headline number sits a quieter crisis: billions of dollars in annual wages disappearing from local economies as software replaces people in roles that once looked safe. I see a labor market that still looks strong on paper, yet feels increasingly precarious for workers whose skills overlap with what algorithms can already do.
The scale of the disruption is no longer hypothetical. From call centers and back offices to marketing departments and middle management, employers are using AI to justify layoffs at a pace that would have been politically unthinkable just a few years ago. The result is a widening gap between the promise of productivity and the reality of 1.17M jobs cut since COVID and roughly $117 billion in lost paychecks that will not be spent on rent, groceries, or student loans.
The five‑year high in job cuts
By any historical measure, the current wave of layoffs is severe. U.S.-based employers have already cut more than 1.17 m jobs this year, the highest level since the early pandemic shock. That figure represents a 54% surge in cuts compared with last year, a spike that would normally signal a recession even as headline GDP and stock indexes suggest the opposite. One analysis described how US job cuts hammer 1.17M workers in five-year high, a 54% jump that clashes with the “resilient economy” narrative many Americans hear.
What is striking is how broad the damage has become. Earlier in the pandemic, layoffs were concentrated in travel, hospitality, and small retail. Now, the sectors leading the cuts include technology, food companies, services industries, and retail companies, a shift that reflects how automation and cost-cutting are spreading across the entire private sector. Research on Other sectors leading the cuts shows that what began as a tech story has become a mainstream employment problem, touching everyone from warehouse staff to white-collar professionals.
AI’s growing share of the damage
Within that broader wave of layoffs, artificial intelligence is no longer a side note. It is a named cause. Challenger found that AI has been responsible for at least 54,694 job cuts this year, a figure that almost certainly understates the real impact because many companies still frame automation as “efficiency” rather than explicitly labeling it AI. When a firm tells investors it can do more with fewer people thanks to new software, that is a polite way of saying that algorithms are taking over tasks that once justified a salary.
Globally, the scale of potential disruption is even more stark. One widely cited estimate suggests that 85 m jobs are on track to be displaced by AI and automation by the end of 2025, a projection that captures not just factory roles but also office work, customer service, and parts of finance and healthcare. The 85 m figure comes from a broader look at how quickly employers are adopting machine learning and robotics, and it helps explain why workers feel anxious even in countries where unemployment remains low. I see that anxiety reflected in the way people talk about “future-proofing” their careers, as if the ground beneath them is already shifting.
Who is actually being replaced
Popular imagination still pictures AI replacing factory workers first, but the reality looks different. Early corporate moves suggest that middle management and back-office professionals are often the first to go. One high-profile example came from Amazon, where a round of layoffs targeted corporate teams and program managers while the company simultaneously touted its investments in generative AI. Reporting on how Everyone thinks AI is replacing factory workers, but Amazon is already using it to thin out middle management shows how quickly knowledge work is being redefined.
Telecom and other service-heavy industries are also feeling the shock. Challenger’s data highlights that Telecom saw a dramatic surge in cuts, with AI cited as a factor in how call centers, network operations, and customer support are being reorganized. In that context, the finding that Challenger is tracking tens of thousands of AI-linked cuts is not just a statistic, it is a map of which occupations are most exposed: supervisors, analysts, and coordinators whose daily work can be translated into code.
How much work AI can already do
The uncomfortable truth is that AI is now capable of handling a meaningful slice of what humans do in the U.S. economy. A study from the Massachusetts Institute of Technology found that artificial intelligence can already replace 11.7% of the U.S. workforce based on current technology and wage levels. That does not mean one in nine workers will be fired tomorrow, but it does mean that, in principle, nearly one in nine jobs could be done more cheaply by machines if employers decide the trade-offs are worth it.
What stands out in that research is the range of sectors at risk. The study points to manufacturing, retail, health care, and professional services as areas where tasks are structured and repetitive enough for AI to take over. When I combine that with the 1.17 m cuts already recorded and the Corporate layoff wave that has pushed U.S. job losses in 2025 to a record since the pandemic, the picture that emerges is not of a distant future but of a transition already underway. The question is no longer whether AI can do the work, but how quickly companies will choose to restructure around that capability.
The human cost: wages, fear, and bargaining power
Behind every statistic is a paycheck that disappears. If I take the 1.17 m jobs cut and apply a conservative average salary, the result is easily more than $117 billion in annual wages pulled out of households and local businesses. That money is not just numbers on a spreadsheet. It is mortgage payments in Phoenix, daycare bills in Atlanta, and grocery runs at Kroger and H-E-B. When those wages vanish, so does the spending that supports small restaurants, auto repair shops, and the tax base for public schools.
The emotional toll is just as real. Americans are growing increasingly terrified about layoffs, and with good reason, as cuts accelerate and no industry feels safe. That fear erodes workers’ bargaining power, making it harder to negotiate raises or push back against unrealistic workloads when everyone knows there is a line of applicants, plus an algorithm, waiting in the wings. In that climate, the 54% surge in job cuts is not just a macroeconomic data point, it is a daily reminder that loyalty to an employer is no longer a reliable shield.
What comes next if nothing changes
If current trends continue, the combination of AI adoption and aggressive cost-cutting will keep pressure on both employment and wages. The global projection of Editor and Choice that 85 m jobs could be displaced by automation by the end of 2025 suggests that the U.S. experience is part of a much larger shift in how work is organized. Without new guardrails, the benefits of that shift will flow mainly to shareholders and executives who can capture productivity gains while offloading the social costs onto workers and communities.
There is still room to steer a different course. Policymakers can tie tax incentives and AI-related subsidies to job retention or retraining commitments, rather than allowing companies to pocket savings while cutting staff. Employers can choose to use AI to augment workers instead of replace them, redesigning roles so that software handles routine tasks while humans focus on judgment, creativity, and relationships. But as long as 1.17 m cuts and tens of thousands of AI-linked layoffs are treated as a normal cost of doing business, the country will keep trading stable middle-class jobs for a more fragile, automated economy that works brilliantly on paper and far less well for the people living inside it.
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Grant Mercer covers market dynamics, business trends, and the economic forces driving growth across industries. His analysis connects macro movements with real-world implications for investors, entrepreneurs, and professionals. Through his work at The Daily Overview, Grant helps readers understand how markets function and where opportunities may emerge.
