Amazon cuts 16,000 jobs as companies cite AI for layoffs, sparking 'AI-washing' debate

Reviewed byNidhi Govil

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Amazon announced 16,000 corporate job cuts as part of its AI push, bringing total layoffs to 30,000 since October. But economists and analysts question whether artificial intelligence is truly driving these workforce reductions or if companies are using AI-washing to mask pandemic-era over-hiring and financial struggles. More than 50,000 layoffs cited AI in 2025.

Amazon Leads Wave of AI Layoffs Affecting Thousands

Amazon announced it would cut 16,000 corporate jobs globally, marking the second major round of layoffs in three months and bringing total reductions to over 30,000 positions

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. CEO Andy Jassy initially signaled these AI layoffs would help "reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company"

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. The cuts affected workers across Amazon Web Services, retail, Prime Video, and human resources departments, while the company simultaneously closed nearly all Amazon Go and Amazon Fresh stores, eliminating roughly 5,000 additional retail positions

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Source: TechCrunch

Source: TechCrunch

Artificial intelligence was cited in announcements for more than 50,000 layoffs in 2025, with tech giants including Pinterest, Expedia, and Dow joining Amazon in attributing workforce reductions to their AI push

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. Pinterest proved most explicit, announcing cuts of up to 15% of its workforce while stating it was "making organizational changes to further deliver on our AI-forward strategy"

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. Beth Galetti, Amazon's Senior Vice President, assured employees this wouldn't become a recurring pattern, stating "Some of you might ask if this is the beginning of a new rhythm -- where we announce broad reductions every few months. That's not our plan"

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Source: Seeking Alpha

Source: Seeking Alpha

Questions Mount Over AI-Washing as Strategic Justification for Workforce Reductions

Economists and industry analysts increasingly question whether these AI-related cuts reflect genuine workforce automation or represent AI-washing—companies attributing financially motivated decisions to future technology implementation. A Forrester report published in January argued that "many companies announcing A.I.-related layoffs do not have mature, vetted A.I. applications ready to fill those roles, highlighting a trend of 'A.I.-washing'"

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. Molly Kinder, a senior research fellow at the Brookings Institute, noted that blaming layoffs on AI represents a highly investor-friendly message, particularly when the alternative might mean admitting "the business is ailing".

Source: NYT

Source: NYT

The skepticism extends to individual employees caught in the reductions. N. Lee Plumb, Amazon's head of "AI enablement" who was laid off despite being flagged as one of the company's top users of its AI coding tool, observed that "when you reduce head count, you've demonstrated efficiency, you attract more capital, the share price goes up"

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. His case illustrates the disconnect between stated AI efficiency rationale and actual implementation readiness.

Pandemic-Era Over-Hiring and Restructuring Drive Corporate Dynamics

The 30,000 jobs Amazon eliminated represent nearly 10% of its corporate workforce, though only a small fraction of the company's 1.58 million total employees, most of whom work in fulfillment centers and warehouses

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. Tech giants including Meta Platforms and Microsoft sharply ramped up hiring during the COVID-19 pandemic demand surge and have recently been restructuring their workforce

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. Amazon's October round eliminated 14,000 white-collar jobs, with Andy Jassy stressing the need to eliminate excessive bureaucracy by trimming operational levels and reducing managers

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Karan Girotra, a professor at Cornell University's business school, expressed doubt about AI's immediate impact: "We just don't know. Not because AI isn't great, but because it requires a lot of adjustment and most of the gains accrue to individual employees rather than to the organization"

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. He suggested Amazon remains primarily focused on scaling back from pandemic over-hiring rather than implementing genuine AI-driven efficiency gains.

Wall Street Messaging and Data Centers Investment Shape Future Outlook

Companies appear to be positioning these job cuts to appeal to Wall Street while simultaneously shifts resources to AI infrastructure investments. The New York Times reported that Amazon spent approximately $125 billion last year on data centers and related expenditures

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. A Goldman Sachs report indicated that AI's overall impact on the labor market remains limited, though some effects might be felt in "specific occupations like marketing, graphic design, customer service, and especially tech"

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. These fields correlate with generative AI chatbot capabilities for writing emails, producing synthetic images, and helping write code.

Executives at the World Economic Forum's annual meeting acknowledged that while jobs would disappear, new ones would emerge, with two telling Reuters that AI would likely be used as an excuse by companies planning to cut jobs anyway

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. Meta CEO Mark Zuckerberg declared that 2026 will be when "AI starts to dramatically change the way that we work," signaling that major tech companies continue betting heavily on AI transformation despite questions about current implementation readiness

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. Employees and economists alike will be watching to see whether these workforce reductions actually correlate with deployed AI capabilities or simply represent cost-cutting measures rebranded for stock prices and investor appeal.

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