Amazon’s AI Layoff Strategy: What You Need to Know

Amazon just fired 30,000 corporate workers. And the reason nobody saw coming? AI didn't replace them—it broke everything. In a stunning twist that reads like a tech industry horror story, the company's aggressive push to replace human workers with artificial intelligence has backfired spectacularly. The AI tools Amazon forced its engineers to use caused outages, generated sloppy code, and created "more work for everyone." Then Amazon fired the people who were cleaning up the mess.

In the last eight months, Amazon has cut roughly 30,000 corporate jobs — nearly 10% of its roughly 350,000-person corporate workforce. The first round came in October 2025, when 14,000 workers were let go. Then in January 2026, another 16,000 jobs vanished, with many employees finding out through a misfired internal email. A memo sent by senior vice-president Colleen Aubrey referred to the layoffs as "Project Dawn" and wrongly stated that affected employees had already been informed. Talk about adding insult to injury.

At the same time, Amazon is spending approximately $200 billion this year on AI infrastructure and data centers. CEO Andy Jassy told staff that AI will result in a shrinking of Amazon's workforce over the coming years. "We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs," Jassy wrote in a memo to employees.

But here's the twist that nobody saw coming: the AI didn't work.

The AI Disaster Nobody Saw Coming

Amazon's internal AI coding tool, called Kiro, was supposed to make engineers more productive. Instead, it became a nightmare. According to software developers who spoke to The Guardian and Computerworld, Kiro frequently hallucinates and generates flawed code. Engineers then have to dig through and correct the sloppy code it creates, or just revert all changes and start again.

"I and many of my colleagues don't feel that it actually makes us that much faster," said Dina, a software developer based in New York who was laid off shortly after speaking to The Guardian. "But from management, we are certainly getting messaging that we have to go faster, this will make us go faster, and that speed is the number one priority."

The problems weren't just annoying—they were catastrophic. In mid-December, Kiro was allowed to make live changes to a customer-facing AWS cost management system. The AI decided the best fix was to "delete and recreate the environment," triggering a roughly 13-hour outage that hit the AWS Cost Explorer service in parts of mainland China.

And that wasn't an isolated incident. There have been at least two production outages in recent months where Amazon AI coding tools can take some of the blame. Internally, those outages were described as "small but entirely foreseeable." According to Computerworld, the root cause was that AI was effectively treated as an extension of a human operator and granted operator-level permissions. "That's just stupid," the publication wrote. "You never give someone—or something—system administration privileges unless they absolutely need it and you completely trust them. Neither was true in this case."

Amazon has insisted the root cause was "user error" and misconfigured access controls. But as one engineer told Computerworld, the error was humans putting too much trust in AI. "The pressure to use AI has resulted in worse quality code, but also just more work for everyone."

The Survivors: Less People, More Work, Same AI Nightmare

If you thought being laid off was bad, try being one of the "lucky" ones who kept their job. In the Amazon workforce, "survivor's guilt" has become a daily reality.

"Daily work has become completely overloaded," one long-time employee told the media. The number of Sev2 incidents—critical issues that must be addressed immediately—has skyrocketed because there simply aren't enough people to handle the workload.

Engineers report that managers, pressured to squeeze more productivity out of fewer workers, are demanding the impossible. "The pressure to use AI has resulted in worse quality code, but also just more work for everyone," said Denny, a software engineer in Amazon's retail division. "If we don't pivot and use AI, then we risk becoming obsolete and being let go in the next layoff."

And the AI tools aren't helping. Workers said the company is rolling out AI use in a haphazard way, tracking their AI usage through a dashboard called Clarity, and using it to pressure employees into adopting AI tools—even when they're not suited for the task.

Sarah, a software engineer, told The Guardian that she's now expected to train AI even when it's not useful. "Part of my new job role, it feels like, is being asked to train the AI to essentially replace you." She's early in her career and worries that offloading her work to AI is stunting her learning curve.

Lisa, a supply chain engineer who has worked at Amazon for over a decade, says that AI tools at work have been helpful to her only about one in three attempts. And even then, she often finds issues and has to consult with colleagues to verify and correct their results, which takes up more time than if she'd done the task without AI.

The Warehouse Robot Revolution That's Also Coming

It's not just corporate workers feeling the squeeze. Amazon is also rolling out its next generation of warehouse robots—including the latest version of Proteus, an autonomous mobile robot that can understand natural language commands from workers.

The original Proteus was first deployed in Amazon fulfillment centers in 2022 to assist workers, transporting heavy carts weighing up to 400 kilograms. It's currently used in 25 fulfillment centers in the U.S., with the latest version set to roll out in Europe in the first half of 2027.

Amazon has committed to investing 10 billion euros ($11.6 billion) to modernize fulfillment operations in the region. Other robotics advancements include its first robot with a sense of touch, Vulcan, and a robotic tote handling system called STARK.

Amazon executives insist these robots create jobs. "Since we've invested in robotics, we've created hundreds of thousands of jobs," Tye Brady, chief technologist at Amazon Robotics, told CNBC. John Boumphrey, Amazon's Vice President for the U.K. and Ireland, said: "I would place a large bet that we're going to need an awful lot of people in our warehouse in the future... we employ more people in the same space, so actually, our experience of robots is that it's driven up employment rather than the reverse."

But not everyone is convinced. Senator Bernie Sanders wrote to Jeff Bezos demanding answers about Amazon's plans to automate warehouses, noting reports that the company plans to replace over half a million jobs with robots. "If Amazon succeeds on its massive automation plan, it will have a profound impact on blue-collar workers throughout America and will likely be used as a model by large corporations throughout America, including Walmart and UPS, to displace tens of millions of jobs."

Morgan Stanley estimated that Amazon's efforts to replace warehouse workers with robots will save between $2 billion and $4 billion a year starting in 2027.

The Tech Industry's AI Layoff Wave

Amazon isn't alone. The company's cuts are part of a wave of recent AI-connected tech layoffs sweeping the industry.

According to reports, over 50,000 AI-related layoffs occurred in the U.S. during 2025 alone. Block CEO Jack Dorsey said outright that AI was behind his 40% staffing cuts. Atlassian laid off 10% of its workers—about 1,600 jobs—to throw more money into AI. IBM cut 8,000 jobs, using AI customer service systems to replace technical support roles. Microsoft slashed 30% of its document processing positions after embedding generative AI into Office. Meta replaced thousands of human content moderators with AI systems and increased its AI investment to 25% of revenue.

Earlier this week, Amazon engineers blasted their employer at a heated Seattle City Council hearing, accusing the company of pouring billions into AI while cutting tens of thousands of jobs.

"It's been reported that this year, Amazon is spending $200 billion on capital, with most of it going to data centers and AI," Patrick Schloesser, a software engineer at AWS, told council members. "Meanwhile, the leaders at my company have laid off 30,000 corporate employees in the last eight months. What that tells me is that Big Tech is desperate to build as much compute capacity as it can, as fast as it can."

Liesl Wigand, an Amazon engineer for over a decade, criticized what she described as an "all-costs-justified AI build-out." "The biggest issue is a belief that AI should be how we solve everything, while ignoring the resources that it costs," Wigand said.

Amazon's Response: It's Not AI, It's Culture

Amazon has pushed back against the narrative that AI is driving layoffs. "While we're making these changes, we'll also continue hiring and investing in strategic areas and functions that are critical to our future," said Beth Galetti, Amazon's senior vice president of People Experience and Technology.

Jassy has said the job cuts are not driven by AI or financial concerns. "It's culture," he said in October. "If you grow as fast as we did for several years, the size of businesses, the number of people, the number of locations, the types of businesses you're in, you end up with a lot more people than what you had before, and you end up with a lot more layers."

But workers aren't buying it. "There's a lot of talk among corporate employees about how some of these practices—about performance, surveillance and monitoring—are somewhat imported from the warehouse and the drivers space, and that it is Amazon expanding this model of labor to white collar workers," Jack, a software engineer at Amazon for more than a decade, told The Guardian. "It does feel like we're at the vanguard of a new stage in employer relations with the advent of AI."

What the Experts Say

Economists and labor experts are watching Amazon's moves closely—and they're worried.

Rob Garlick, Citi Global Insights' former head of innovation, technology, and future of work, told CNBC that leaders will move to replace workers as humanoid robots already have a quicker payback period than humans. "We have a leadership system in the economic terms and business terms that celebrates profitability. When you marry profitability up with the technology progress, we have the biggest trade in history coming, which is basically that artificial intelligence will be able to do more and more, better and better, cheaper and cheaper, and that will be able to substitute for people."

Ifeoma Ajunwa, founding director of the AI and Future of Work Program at Emory University and author of "The Quantified Worker," told The Guardian that forcing employees to adopt tools usually backfires. "Generally, employees are in a better position than management to determine what tools can aid productivity."

Professor Alex Imas of Chicago Booth added: "One of the biggest predictors of AI adoption and whether employees feel that AI increases their productivity is whether management encourages it and provides training."

But at Amazon, workers are often having to seek out training on their own. When they do attend training sessions, the focus is always "here's how to build something as quickly as possible"—not how to use AI safely or effectively.

Frequently Asked Questions About Amazon's AI Layoffs

What This Means for Workers Everywhere

Amazon's story is a cautionary tale about what happens when corporate leaders get drunk on AI hype. They fired 30,000 workers, forced the survivors to use broken AI tools, and then blamed "user error" when those tools caused massive outages.

The company is spending $200 billion on AI infrastructure this year while cutting jobs and squeezing the remaining workers. Meanwhile, engineers say the AI tools are making them slower, not faster—and the constant surveillance is destroying morale.

Senator Bernie Sanders summed up the situation perfectly in his letter to Jeff Bezos: "If Amazon and other large corporations replace tens of millions of workers with artificial intelligence, robotics and other new technologies, who do you think is going to be able to buy the products you sell? Where are they going to get their income?"

It's a question the tech industry still hasn't answered.

Want to stay ahead of the AI curve? Here are the tools and resources you need to thrive in the AI era.

Products to Help You Survive the AI Era

While Amazon is busy firing people and breaking things with AI, here are some products that will actually help you thrive in the changing workplace:

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