The four largest technology companies in the world are collectively making approximately $725 billion on capital expenditures in 2026, the overwhelming majority on AI infrastructure. In the same period, those same companies have laid off tens of thousands of workers.
Meta’s CEO told staff directly that the job cuts were a consequence of AI infrastructure spending. More than 92,000 tech workers have lost their jobs so far this year, while GPU orders and data center construction contracts keep climbing.
That tension has been building inside every major technology company for months. On June 3, for the first time anywhere in the industry, a group of workers walked into a government hearing and said it out loud on the public record.
Amazon engineers speak out to pause data center construction
Amazon software engineers Liesl Wigand, Patrick Schloesser, and Darius Irani appeared at two Seattle City Council committee hearings on June 3 to publicly support a proposed one-year moratorium on new large-scale AI data center construction, according to CNBC. All three are current employees and members of Amazon Employees for Climate Justice.
Their testimony was followed by a unanimous vote. The Seattle City Council’s Land Use and Sustainability Committee approved the one-year moratorium and advanced it to the full council for consideration.
The proposal was triggered when four developers submitted plans for five large-scale facilities with a combined maximum electricity demand of 369 megawatts, enough to power roughly 300,000 homes. Public backlash prompted two developers to withdraw before any vote, CNBC confirmed.
The Amazon engineer who put the AI and layoffs argument on the record
Schloesser, an Amazon employee for nearly six years, faced city officials and explicitly connected capital spending to workforce cuts.
“It’s been reported that this year, Amazon is spending $200 billion on capital, with most of it going to data centers and AI,” he said. “Microsoft is spending $190 billion. Meanwhile, the leaders at my company have laid off 30,000 corporate employees in the last eight months.”
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“What that tells me is that Big Tech is desperate to build as much compute capacity as it can, as fast as it can,” Schloesser added.
That is not a sentiment being expressed for the first time inside large technology companies. What is new is the venue, the names attached to it, and the fact that it went into a government hearing record rather than an internal Slack channel.
Schloesser is not speaking anonymously. He is a named current employee testifying at a public proceeding about his employer’s spending priorities, and his argument is directly relevant to a policy decision that could affect the company’s infrastructure plans.
Why Microsoft and Meta employees face the same AI and layoffs tension
Amazon is not a singular case. Meta CEO Mark Zuckerberg explicitly told staff that the company’s roughly 8,000 job cuts were a direct consequence of its AI infrastructure spending.
Microsoft has laid off roughly 6,000 employees in May while committing $190 billion in capex for 2026. The company has attributed portions of its cuts to AI-driven efficiency gains, making its situation the closest parallel to the one Amazon’s engineers described at the Seattle hearing.
Until June 3, neither Microsoft nor any other major technology company had seen its own workers take that argument to a government proceeding.
The math playing out across the industry is consistent. Human salaries are the only cost flexible enough to cut quickly and partially offset the scale of AI infrastructure investment.
The workers being laid off are largely not the workers being hired. Customer support, content moderation, and middle management roles are being eliminated, while machine learning engineers and AI infrastructure specialists are in short supply, according to CNBC.
Amazon’s engineers in Seattle are the first to take that argument to regulators publicly. But the underlying grievance belongs to a much larger workforce across the industry.
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How Amazon responded and what the Seattle AI moratorium covers
Amazon told CNBC it respects its colleagues’ right to voice their opinions. The company also noted it has no current plans to build data centers within Seattle city limits and says it prioritizes water and energy efficiency in the communities where it operates.
The proposed moratorium, if adopted by the full council, would take effect immediately and last 365 days. It would be paired with a resolution requesting impact studies on grid capacity, water usage, utility rates, land use, public health, and jobs before any new approvals are granted, according to Quartz.
Key figures on the AI spending and layoffs tension playing out across big tech:
- Microsoft laid off roughly 6,000 employees in May 2026 while committing $190 billion in capex; the company has attributed significant portions of its workforce reduction to AI-driven efficiency gains, making it the clearest parallel to the Amazon dynamic the Seattle engineers described, according to CNBC.
- TD Cowen analysts calculated that Amazon’s workforce eliminations could generate $8 to $10 billion in incremental free cash flow that flows directly into GPU purchases and infrastructure construction, illustrating the financial logic the Seattle engineers were challenging, CNBC reported.
- Amazon Employees for Climate Justice has been organizing inside the company since at least 2020, when it staged a walkout over climate policy; the group has since expanded its focus to include AI governance and labor practices, and previously gathered more than 1,000 employee signatures on an open letter to company leadership, according to IBTimes.
- Seattle is not the only city examining restrictions: communities in Virginia, Texas, and Nevada have also raised concerns about power demand, water use, and environmental impact from large-scale AI data center construction, Quartz noted.
- The moratorium resolution requests six specific impact studies before new approvals: electrical grid capacity, water usage, utility rates, land use, public health, and jobs, a scope that reflects how broadly city officials are framing the consequences of large-scale AI infrastructure, Quartz confirmed.
What the Seattle AI vote means for Amazon stock and big tech spending
The immediate financial impact of a Seattle moratorium on Amazon is minimal. The company has stated it has no current plans to build data centers in the city. But the June 3 hearing represents something more significant than a local zoning dispute, and investors in Amazon and its peers should read it that way.
What happened in Seattle is the first time the internal tension between AI infrastructure spending and workforce reductions has moved from private frustration to public testimony at a regulatory proceeding. That is a meaningful escalation. It is also a signal that the political and regulatory environment around the Big Tech AI buildout is developing faster than most companies have planned for.
If Amazon’s own engineers are willing to go on the public record in support of regulatory limits on the company’s infrastructure expansion, the question for investors will go beyond whether Seattle’s moratorium passes.
Tech investors will need to determine whether June 3 marks the beginning of a broader pattern of employee-driven regulatory pressure on an industry spending $725 billion a year on infrastructure, while simultaneously cutting the workforce that built it.
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