The question of whether artificial intelligence will replace human workers has moved from speculative debate to boardroom planning. A new survey from AIResumeBuilder.com, covering 1,250 US business leaders, finds that 3 in 10 companies plan to replace employees with AI in 2026 — and one in five firms admit they already automated positions in 2025.
The numbers get starker inside that group. Among companies expecting AI-related layoffs next year, 59% plan to eliminate at least 10% of their workforce, while 10% expect AI to replace half or more of their employees. AI's impact on employment, the survey suggests, is no longer theoretical — it is operational.
Which roles are in the crosshairs
The survey highlights where automation is hitting hardest. Customer support (54%), administrative and clerical roles (49%), and IT support (47%) top the list of functions companies expect AI to replace. These targets overlap almost exactly with the areas where AI adoption is already accelerating: data analysis (61% of firms), meeting summaries (58%), and research and information gathering (56%).
The pattern is consistent with independent research. An Anthropic study published on March 5, 2026, titled "Labor market impacts of AI," introduced a metric called "observed exposure" — measuring not what AI could theoretically do, but what it is actually doing in workplaces right now. Computer programmers topped the list at 75% task coverage, followed by customer service representatives, data entry keyers and medical records specialists. Desk-based, digital, repetitive work faces the highest risk: if a job involves processing information that follows predictable patterns, the timeline for AI doing it faster and cheaper has shortened.
The industries bracing for the biggest AI-driven cuts span both white-collar and operational sectors: IT, software, finance, energy, accounting, telecom, HR, manufacturing and retail.
The layoff data behind the survey
Survey intentions are one thing; actual job losses are another — and the layoff data tells a story of acceleration. According to a ResumePulse report, AI-attributed US layoffs reached 205,000 workers through August 2026, matching the full-year 2025 total in under eight months. Automation was explicitly cited in more than half of all major documented workforce reductions across technology, finance and professional services, with cuts concentrating in customer service, data operations and finance.
A separate dataset from Intellizence puts company names to the trend. Its layoff tracking for 2026 records major workforce reductions in which AI played a role: Oracle reduced its workforce by approximately 21,000 during fiscal 2026, with AI reported to have replaced some roles; Amazon cut 16,000 jobs globally while increasing investment in AI; Dell cut approximately 11,000 jobs amid restructuring and increased AI adoption; Meta cut 8,000 jobs while redirecting resources toward AI initiatives; Standard Chartered plans to cut 7,000 jobs as automation and AI reshape corporate and back-office functions; and Block cut 4,000 jobs as AI-enabled productivity allowed the company to operate with smaller teams.
Challenger, Gray & Christmas, which tracks US job-cut announcements, counted 15,341 AI-cited layoffs in March 2026 alone — 25% of total cuts that month and the leading single reason given. Yet context matters: in early 2026, only roughly 13% of US job-cut plans actually cited AI as the reason, a reminder that most restructuring still has other stated causes.
The bigger picture: exposure is not the same as replacement
The headline figures deserve careful handling, because economists draw a sharp line between exposure to AI and actual job replacement. The International Monetary Fund estimates that almost 40% of global employment is exposed to AI, rising to about 60% in advanced economies. Goldman Sachs Research finds that AI could expose the equivalent of 300 million full-time jobs to automation worldwide and automate tasks accounting for 25% of all US work hours.
But exposure measures where AI could be applied — not where workers are actually being displaced. The World Economic Forum's Future of Jobs Report 2025 projects 92 million jobs displaced and 170 million created over the 2025–2030 period: a net gain of 78 million roles. And the Anthropic study found a striking gap between theoretical capability and actual adoption: for computer and math workers, AI tools could theoretically handle 94% of their tasks, but in practice handle 33% — a 61-point gap showing that technology is advancing faster than organisations can implement it.
Occupations with the highest measurable automation exposure remain language and routine information work (interpreters and translators top several rankings), clerical and administrative roles, customer-facing routine roles such as customer service representatives and telemarketers, and finance and tech tasks including accountants, auditors, proofreaders and computer programmers. Experts consistently caution, however, that exposure measures the applicability of AI systems and does not equate to full replacement — many analyses emphasise augmentation, evolving tasks and uneven adoption.
The protection playbook: AI fluency
If there is a single defensive strategy in the data, it is AI literacy. Two-thirds of business leaders in the AIResumeBuilder.com survey say workers with AI capabilities have greater job security, and most companies planning to hire in 2026 say they prefer candidates with AI knowledge. Nearly 9 in 10 companies (86%) say AI is making employees more productive, and more than half expect workers who use AI to produce "a lot" or "significantly" more work each week.
"Professionals should identify the AI tools most relevant to their field and become fluent in how to use them effectively," says Rachel Serwetz, career advisor at AIResumeBuilder.com. "Even in roles at risk of automation, there's still a need for people to manage, guide, or complement those tools."
The practical implication is straightforward: the workers most at risk are not those who use AI, but those whose tasks are standardised enough for AI to absorb while they remain unable to direct it. Building AI-augmented workflows, learning to supervise and quality-check AI output, and pairing technical fluency with judgment, communication and domain expertise is the combination the labour market is rewarding.
What to watch
The next twelve months will test whether the survey's intentions become reality. If 3 in 10 companies follow through, 2026 could mark the year AI-driven restructuring moves from a series of company-level decisions to a genuine labour-market event — with customer support, back-office administration and IT support feeling it first. But the adoption gap, the net job-creation projections, and the persistent demand for human judgment all suggest the story of the next few years will be transformation rather than simple elimination. The workers who treat AI fluency as a core professional skill — not an optional extra — will be the ones writing that story rather than being written out of it.
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