Amazon’s 57,000 job cuts and the toll on those left


TL;DR

Amazon has cut more than 57,000 corporate jobs since 2022, about 16% of that workforce, including roughly 16,000 in late January and 14,000 three months before. Laid-off staff have landed in a saturated market where searches that once took four months now stretch to twelve or eighteen. The colleagues who stayed report rising workloads and worsening work-life balance, the deferred cost of a saving booked immediately.

Amazon’s cuts have reached a scale that is hard to absorb. The company has laid off more than 57,000 corporate staff since 2022, around 16% of that workforce, CNBC reports.

The pace has accelerated sharply. Roughly 16,000 people went in late January, three months after more than 14,000 others, the steepest cuts in the company’s history.

What the numbers hide is the aftermath. The people who left and the people who stayed are both struggling, in different ways.

The market they landed in

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Timing has been unkind. Former Amazon staff entered a job market that other tech giants were flooding at the same moment, with Cisco, Meta, Microsoft, and Oracle all cutting.

The result is a queue. Searches that once took around four months are now stretching to twelve or even eighteen.

That is not a gap on a CV, it is a change of life circumstances. Savings, mortgages, and visas do not run on eighteen-month timelines.

Not everyone tells the same story. One AWS engineer described his January layoff as a blessing in disguise, citing return-to-office rules and pressure to use AI.

Survivors are not survivors

Inside the company, the work did not shrink with the headcount. Employees describe workloads climbing and work-life balance deteriorating as fewer people cover the same ground.

This is the part companies rarely price in. Layoffs book a saving immediately and defer the cost onto whoever is left.

The AI mandate compounds it, and there is growing evidence that AI “workslop” is rotting companies from the inside. Staff are told to do more with fewer colleagues and a tool that generates plausible-looking output someone else must then fix.

An industry doing the same thing

Amazon is not an outlier. Meta cut 8,000 jobs while posting record revenue and committing enormous sums to AI infrastructure.

That combination, mass cuts alongside record spending, is now the sector’s default posture. Tech has shed tens of thousands of roles globally this year, with AI named in a large share of them.

TNW has written before about the people left behind by tech layoffs and AI hype. The pattern has only hardened since.

Whether anything changes

Other jurisdictions are testing limits. Chinese courts have ruled that swapping a worker for AI is not lawful grounds for dismissal, a protection with no US equivalent.

In the US, the response is running through politics instead. Support has surged for proposals like handing the public a stake in the largest AI companies, which is what happens when the gains and the losses land on different people.

None of that helps anyone currently eighteen months into a job search. But it explains why the mood around these announcements has curdled, and why “efficiency” has stopped working as an explanation.



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TL;DR

India debates sovereign AI after the US forced Anthropic to kill Fable 5, with proposals for a $5B fund and calls to embrace open-source models.

When the US government ordered Anthropic to shut down Fable 5 and Mythos 5 on 12 June, the export control directive was aimed at restricting foreign nationals from accessing America’s most capable AI. In India, Anthropic’s second-largest market, it landed as a warning shot about what happens when your AI infrastructure runs on someone else’s politics.

The suspension cut off Indian developers and enterprises from Claude’s most advanced models overnight. India’s Claude run-rate revenue had doubled since October 2025, and Tata Consultancy Services had announced a partnership just one day earlier, on 11 June, to train 50,000 employees on Claude and build a dedicated Anthropic business unit. That deal is now in limbo.

The timing has turned what was already a simmering debate about AI sovereignty into a full strategic reckoning. Proposals that sounded ambitious a week ago now sound urgent.

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Mohandas Pai, former Infosys CFO and one of India’s most prominent tech investors, has called for a ₹50,000 crore (roughly $5 billion) annual sovereign AI fund. He has also proposed a ₹2 lakh crore (approximately $21 billion) credit guarantee to finance cloud infrastructure, hardware procurement, and semiconductor development. The figures dwarf the government’s existing commitment.

India approved its IndiaAI Mission in March 2024 with a budget of ₹10,372 crore, approximately $1.25 billion. The programme has deployed around 38,000 GPUs so far. Pai’s proposal would quadruple annual spending and add a credit backstop an order of magnitude larger.

Sridhar Vembu, the founder of Zoho, has gone further. He argued that India should embrace smaller and open-source models, including Chinese ones, rather than depend on American frontier systems that can be switched off by executive order. “Technology is the ultimate weapon,” Vembu said. “Globalization is dead and Bharat must find her own way ahead.

The argument has teeth because the suspension demonstrated exactly the vulnerability Vembu is describing. Amazon’s CEO reportedly triggered the government crackdown by telling Treasury Secretary Scott Bessent that researchers had used Fable 5 to obtain information that could be used in cyberattacks. Anthropic called the action disproportionate, but compliance was immediate and global.

Policy expert Prasanto Roy put it bluntly: “American AI models are bound to American geopolitics.” For Indian enterprises that had built workflows around Claude, the lesson was that access to frontier AI is a privilege that can be revoked without notice, without consultation, and without regard for the commercial relationships it disrupts.

The Indian startup ecosystem is already adapting. Sarvam, a Bengaluru-based AI company, released 30-billion and 105-billion parameter open-source models at the India AI Impact Summit in 2026. Krutrim, founded by Ola’s Bhavish Aggarwal, has pivoted from building foundational models to providing cloud and AI infrastructure services, reporting ₹3 billion in revenue for fiscal year 2026.

Neither company is close to matching the capabilities of Fable 5 or Mythos 5. But the argument for sovereign AI was never about matching frontier performance immediately. It is about ensuring that the floor does not fall out when Washington makes a unilateral decision about who gets to use which models.

Aakrit Vaish, founder of the AI startup Activate, said the suspension “completely changes things” for the sovereign AI debate. Vijay Rayapati, CEO of Atomicwork, raised concerns about what the precedent means for Indian companies with multi-country teams that depend on American AI providers. If the US can shut off model access to enforce export controls, any country that relies on American AI is one policy decision away from disruption.

Not everyone agrees that India needs to build its own frontier models. Hemant Mohapatra, a partner at Lightspeed Venture Partners, argued that talent and compute access matter more than capital for building competitive AI. India has the engineering workforce, but the compute gap is significant, and closing it requires either massive domestic investment or continued access to foreign cloud infrastructure.

Anthropic opened a Bengaluru office as part of its India expansion, and the TCS partnership was designed to be a cornerstone of its enterprise strategy in the country. Whether those plans survive the suspension intact depends on how quickly Anthropic can restore access and whether Indian enterprises still trust a provider whose most capable models can vanish overnight.

The broader pattern is unmistakable. The US has spent four years tightening controls on AI technology, from chip export restrictions to model-level interventions. Each escalation pushes more countries toward the conclusion that dependence on American AI infrastructure carries political risk. India, with its 1.4 billion people and rapidly growing technology sector, is now asking whether it can afford that risk, and what it would cost to eliminate it.

The Opendoor layoffs in June 2026, which shut the company’s India office and affected roughly 250 employees, added another dimension. CEO Kaz Nejatian cited AI-native teams as the reason, suggesting that some US companies are using AI to reduce their reliance on Indian engineering talent at the same time that India is debating its reliance on American AI. The relationship is becoming less complementary and more competitive.

For now, the sovereign AI proposals remain proposals. Pai’s fund has no legislative vehicle, Vembu’s call for open-source adoption has no coordinated policy framework, and the IndiaAI Mission’s GPU deployment is still in early stages.

But the Anthropic suspension has done something that years of policy papers and conference speeches could not: it has given the sovereign AI movement a concrete, recent, and viscerally felt example of why dependence on foreign AI is a strategic liability. The debate is no longer theoretical.



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