Amazon's AI Obsession Creates More Problems Than Solutions, Employees Report
Amazon's relentless drive to integrate artificial intelligence across all corporate operations is backfiring spectacularly, according to multiple current and former employees who say the technology is slowing work rather than accelerating it. The company's aggressive AI rollout has created a workplace environment characterized by surveillance, flawed tools, and increased workloads.
Broken Promises: AI Tools Generate More Work, Not Less
Software developers and engineers at Amazon report that internal AI tools frequently produce flawed code that requires extensive correction. "I and many of my colleagues don't feel that it actually makes us that much faster," said Dina, a New York-based software developer who joined Amazon two years ago. "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."
Dina's experience with Amazon's internal AI tool Kiro is typical: the system frequently hallucinates and generates sloppy code that requires painstaking correction or complete reversion. "It feels like trying to AI my way out of a problem that AI caused," she explained. Just days after sharing her concerns, Dina was laid off.
Lisa, a supply chain engineer with over a decade at Amazon, finds AI tools helpful only about one-third of the time. Even when they work, she must consult colleagues to verify results, consuming more time than completing tasks manually. "You don't look at the problem and go, 'How do I use this hammer I have?'" she said. "You look at it and go, 'Is this a problem for a hammer or something else?'"
Pressure Cooker Environment and Surveillance Culture
More than half a dozen current and former Amazon corporate employees across various roles told similar stories of pressure to integrate AI despite productivity losses. They describe a haphazard rollout accompanied by increasing surveillance, with managers tracking AI usage through dashboards that monitor tool adoption frequency.
"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," said Jack, a software engineer at Amazon for more than a decade. "It does feel like we're at the vanguard of a new stage in employer relations with the advent of AI."
Denny, a software engineer in Amazon's retail division, confirmed the surveillance extends to daily questions about AI usage through the internal Amazon Connections system. Questions have shifted from team functionality to queries like "Are you using AI in your daily work?" and "Do you think you're a power user?"
Half-Baked Tools and Training Deficiencies
Employees report being pressured to use numerous AI tools developed during internal hackathons, many of which they describe as "half-baked" and unhelpful. "I would get shown these random tools by my manager who'd be like: 'Why don't you try using this thing?', and it was just the result of a hackathon," Denny explained.
The quality issues have had real-world consequences. According to a Financial Times report, Amazon experienced at least two outages linked to internal AI tools, including a 13-hour customer-facing system interruption in December. Amazon attributed the service interruption to an employee rather than AI, but the FT reported the company would convene engineers to explore "a spate of outages, including incidents tied to the use of AI coding tools."
Training presents another challenge. While Amazon offers AI training videos, most are optional, and according to Will, a user experience researcher, the focus is always on speed rather than quality. "I have been in several trainings where the instructor says you can just ask the AI to check its own work," he noted, despite AI's inability to reliably detect its own errors.
The Unspoken Math: AI and Layoffs
Amazon's AI push coincides with massive workforce reductions. The company has laid off 30,000 workers in the last four months – nearly 10% of its roughly 350,000 corporate workforce. While Amazon has waffled on whether AI drives these cuts, CEO Andy Jassy predicted in a company-wide email last June that AI-driven productivity gains would reduce corporate headcount.
"If you say you automated away two hours of someone's job, you need to convert that into savings on that job title," explained Maria, a former product manager laid off in January. "That's the unspoken math of what they're doing."
Workers suspect their career advancement now depends on enthusiastic AI adoption. Promotion documents now include questions about how candidates leverage AI, and The Wall Street Journal reported that managers consider who is "all-in on AI" during promotion decisions.
Management Response and Industry Implications
Amazon spokesperson Montana MacLachlan defended the company's approach: "We have hundreds of thousands of corporate employees in a wide range of roles across many different businesses, each of which is using AI in different ways to learn about what works best for their use cases. While different employees may have different experiences, what we hear from the vast majority of our teams is that they're getting a lot of value out of the AI tools that they use day-to-day."
However, experts warn that forced adoption typically backfires. "Generally, employees are in a better position [than management] to determine what tools can aid productivity," said Ifeoma Ajunwa, founding director of the AI and Future of Work Program at Emory University.
As the second-largest employer in the United States, Amazon's approach to AI integration carries significant implications for workplaces globally. The company's experiment with aggressive AI adoption – complete with surveillance and productivity pressures – may foreshadow broader industry trends as artificial intelligence reshapes white-collar work.
