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The rise of AI job loss is beginning to reshape expectations across the tech workforce, with a growing sense that job loss may not only be more common but harder to recover from.
Goldman Sachs has issued a blunt warning for tech workers being displaced by AI, cautioning them to expect a lengthy search to secure a job that will probably pay less than their previous role.
“Workers displaced from technology-disrupted occupations face more difficult short-run transitions back into employment,” Goldman Sachs strategist Pierfrancesco Mei wrote.
“They take approximately one month longer to find a new job and suffer real earnings losses of more than 3% upon reemployment, compared with negligible losses for workers displaced from more stable occupations.”
The numbers show that the transition back into employment is becoming more complex and less rewarding for affected workers.
AI job loss and occupational downgrading
At the center of this shift is a change in the type of roles displaced workers are moving into, with skill erosion becoming a key concern.
"A key mechanism behind these worse outcomes is occupational downgrading,” added Mei. “Workers displaced by technology are more likely to move into more routine occupations requiring fewer analytical and interpersonal skills, likely because the same technological shifts that eliminated their positions also eroded the value of their existing skills.”
The scenario is already playing out across the sector, as companies accelerate AI adoption and restructure their workforces accordingly.
Over 52,000 US tech employees were laid off within the first three months of 2026, according to an analysis done by Challenger, Gray and Christmas. A good portion of these layoffs were tied to AI adoption.
The tech industry announced 18,720 job cuts in March, an increase of 40% year over year. It represents the highest year-to-date total for the sector since 2023, when 102,391 layoffs were recorded.
More reductions are expected as companies continue to redirect investment.
“Companies are shifting budgets toward AI investments at the expense of jobs,” said Andy Challenger, Chief Revenue Officer for Challenger, Gray & Christmas. “The actual replacing of roles can be seen in technology companies, where AI can replace coding functions. Other industries are testing the limits of this new technology, and while it can’t replace jobs completely, it is costing jobs.”
The result is not just displacement but a recalibration of what skills are valued, with some roles becoming less relevant as automation capabilities expand.
FOBO and the future of work
This new environment of weakened job security is fueling a broader psychological shift among workers, captured in the growing prominence of FOBO, or Fear of Becoming Obsolete.
Unlike traditional job insecurity, FOBO isn’t about getting fired, it’s about becoming irrelevant.
Four in 10 workers now name AI-driven job loss as one of their primary fears - a share that has nearly doubled in a single year, according to KPMG. Some 63% say AI will make the workplace feel less human. Skill demands in AI-exposed roles are shifting 66% faster than they did just one year ago.
It introduces a new layer of workforce management complexity, where perception and anxiety play a role alongside actual job displacement.
Senior executives across the tech sector are accelerating the scale of change already underway and, if not actually cheerleading the job reductions, they’re certainly the catalyst for most of it.
"I think that 2026 is going to be the year that AI starts to dramatically change the way that we work," Meta CEO Mark Zuckerberg said.
His company has already acted on that expectation, overseeing cuts of hundreds of positions while increasing investment in AI.
Elsewhere, the connection between automation and workforce size is being made more explicitly.
Turning workforce data into early warnings for high-cost employees
“Intelligence tools have changed what it means to build and run a company. A significantly smaller team, using the tools we're building, can do more and do it better,” said Jack Dorsey, CEO of the fintech firm Block.
The logic extends beyond cost reduction into fundamental changes in organizational design, where fewer employees are required to deliver the same output.
It's a perspective that is echoed in more direct assessments of AI’s potential impact on white-collar roles.
“If we look at jobs like entry-level white, you know, I think of people who work at law firms, like first-year associates, there's a lot of document review,” Anthropic CEO Dario Amodei, said last year. “It's very repetitive, but every example is different. That’s something that AI is quite good at. I think, to be honest, a large fraction of them would like to be able to use it to cut costs to employ less people.”
Even leadership roles are not immune from speculation about AI’s long-term reach.
“I think there will come a time when AI can be a much better CEO of OpenAI than me – and I will be nothing but enthusiastic the day that happens,” said OpenAI boss Sam Altman.
At the same time, some leaders point to a more balanced outcome, where job losses and job creation occur in parallel.
“I will definitely eliminate some jobs, while it enhances others,” JPMorgan Chase CEO Jamie Dimon said in his annual shareholder letter this week. “AI will create many jobs — some we can see today in cybersecurity and AI itself, and some we can’t see. But we do know that there is a huge workforce shortage for many well-paying white- and blue-collar jobs.”
AI job loss is already reshaping hiring and workforce planning, while FOBO is influencing how employees view their future inside organizations, suggesting a shift not just in job roles, but in expectations, where adaptability, reskilling, and role fluidity become central to workforce strategy.
2026 Tech sector job cuts
We’re only in April, but plenty of tech sector roles have already been reduced…
Oracle: Announced massive restructuring with reports suggesting up to 30,000 jobs cut to fund AI data center expansion.
Amazon: Confirmed roughly 16,000 job cuts in early 2026, marking another significant reduction following previous rounds.
Dell Technologies: Reduced its workforce by approximately 11,000 employees (10%) as part of ongoing efficiency measures.
Block: Eliminated over 4,000 roles (approx. 40% of workforce), citing the integration of AI tools.
Atlassian: Cut aprroximately 1,600 positions (10% of global headcount) to refocus on AI and enterprise sales.
Meta: Made targeted cuts, including around 1,500 in Reality Labs (Jan) and another 700 across other divisions in late March.
Ericsson: Planned to cut around 1,600 jobs in Sweden to save on costs.
WiseTech Global: Reduced workforce by 2,000 roles in a major restructuring.
