Amazon is facing a sharp internal pushback as more than a thousand of its employees have raised strong concerns over the company’s growing dependence on artificial intelligence across its operations. In a rare and organised show of dissent, workers from engineering, product, research, and warehouse teams have come together to warn that the rapid spread of AI inside Amazon is creating new risks for the environment, workplace safety, and public life.
Their letter to CEO Andy Jassy marks one of the clearest signs that pressure inside large technology companies is no longer limited to pay or office policies, but has moved toward deeper questions about how new technologies should be built and governed. This protest also reveals an uneasy relationship between workers and management at a moment when Amazon is accelerating its investment in advanced computing systems, new data centres, and automated tools that it claims will drive the company’s next growth phase.
The letter, organised by the group Amazon Employees for Climate Justice, argues that the current pace of AI expansion threatens to push aside environmental commitments, reduce worker influence, and widen the gap between leadership and staff. According to the workers, Amazon’s massive new spending on data centres and chips will strain energy resources across the United States and increase the company’s already rising carbon footprint.
Employees writing the letter stressed that the company has pledged to reach net-zero carbon emissions by 2040, yet its emissions have risen more than 35 per cent since 2019. They added that new AI infrastructure, which consumes huge amounts of electricity and water, is expected to be located in states that already face pressure on energy supply. Many staff members say that the scale of these planned investments suggests that Amazon is prioritising expansion over sustainability.
The workers also criticised the company’s spending pattern. They pointed out that Amazon intends to put nearly $150 billion into new data centres over the next fifteen years, with billions already earmarked for states such as Indiana and Mississippi.
According to the employees, this level of expansion could keep ageing coal and gas plants running longer, especially in regions where clean energy access remains uneven. For many of those who signed the letter, the worry is not only about rising emissions, but also about water shortages and pollution that may come with rapid construction. They say that the company should move more of its AI operations to renewable energy sources and make its decisions open to scrutiny.
Another major concern raised in the letter involves workplace pressure. Employees said they are being pushed to use AI tools for coding, writing, testing, and day-to-day tasks even when many of these tools produce uneven results. A number of engineers interviewed described a growing fear that refusal to use these systems will be seen as a lack of productivity or interest in company goals. One engineer said she had been told that the team must produce almost double the output because AI could “speed up everything.”
She explained that such expectations do not match the current performance of the tools, which often produce errors that still require manual correction. Other workers said that they had to rewrite code entirely because an AI-generated solution was not reliable. These problems, they argued, show that the tools are expanding much faster than their safe and steady use allows.
The employees who signed the letter say they are not against AI itself. Many noted that they understand its potential value and the role it may play in the company’s future. Their protest is instead directed at what they describe as a move by leadership to use AI as a reason for layoffs, work speedups, and deeper surveillance of employee performance.
In the warehouse sector, some employees have already reported increased monitoring of task completion time, with managers citing automated systems as a justification for pushing workers to meet tighter quotas. Office staff said they see the same pattern in engineering and research teams, where the message coming down the chain is that AI should allow more work to be done with fewer people. This has led to growing fears that the company’s internal messaging is preparing the ground for future staff reductions.
The workers’ letter further argues that Amazon’s approach to AI raises concerns for the wider public. They warned that without stronger accountability, AI systems could support activities linked to surveillance, police tools, or even poor decision-making by public agencies. Their worry stems from Amazon Web Services’ partnerships with government departments and private firms, including oil and gas companies.
According to the employees, some of these agreements could allow AI systems to support fossil fuel extraction or public surveillance programmes without adequate review. They also mentioned worries about Amazon’s lobbying efforts against new rules for AI, pointing out that large tech firms have worked for years to slow down government attempts to regulate the technology.
Another part of the letter touches on the issue of worker participation. Employees said that the company needs a new internal structure where staff at all levels can help decide how AI should be deployed. They called for worker groups that hold real authority and can review major projects before they are approved.
This, they argued, would reduce the chances of harmful systems being deployed without proper checks, and would also create trust between workers and leadership. The employees insisted that decisions about layoffs, hiring freezes, or changes in job roles should not be made solely by upper management without input from those who understand the technical and practical impact of these tools.
The concerns raised by workers are supported by more than 2,400 employees from other major tech companies such as Meta, Google, Apple, and Microsoft. This cross-company support reflects a broader mood among tech workers, who increasingly feel that their employers are chasing the next big opportunity without adequate protection for the public or the environment.
The Amazon employees said that while the company promotes AI as a tool that will open new markets, the reality inside offices and warehouses is more complicated. They described a culture where questioning the speed of AI deployment can harm career prospects, and where staff worry about speaking openly because of subtle and sometimes direct warnings from managers.
