More Than 1,000 Amazon Staff Unite in Pushback Against Accelerated AI Rollout

More than 1,000 Amazon employees have reportedly banded together to publish an anonymous open letter, sharply questioning the company’s aggressive push toward AI. Organized by members of the “Amazon Employees for Climate Justice” group, the letter includes signatories spanning engineers, product managers, warehouse workers, and more. In a powerful show of solidarity, over 2,400 employees from Meta, Google, Apple, Microsoft, and other tech giants have also voiced support.

The letter outlines several key demands: data centers must transition fully to clean energy; AI products must not be used for violence, surveillance, or mass displacement; an employee-led working group should be formed to evaluate whether AI is appropriate across business areas, including whether AI should be used for job cuts or hiring freezes; and a comprehensive approach is needed to reduce AI’s environmental footprint.

Employees note that AI tools often complicate their work instead of improving it, while expansion of data centers raises environmental and ethical concerns. A senior software engineer with more than a decade at the company shared that leadership has used AI productivity expectations to increase project speed and output quotas, intensifying workplace pressure.

The letter also accuses Amazon of moving away from its climate commitments. The company plans to invest $150 billion over the next 15 years to expand its data center infrastructure for AI computing—facilities that consume massive energy. Since 2019, Amazon’s emissions have risen by an estimated 35%. In response, Amazon spokesperson Brad Glasser rejected these claims, stating that Amazon is the world’s largest corporate buyer of renewable energy, with additional investments in nuclear and SMR technologies to support its 2040 net-zero commitment.

Inside the workplace, employees describe growing pressure from leadership to rely on AI to write code, draft content, or complete routine tasks, with resistance seen as inefficiency. Some report being asked to deliver twice the output despite reduced staffing, finding that AI tools do not truly close skill or labor gaps. Others have had to redo work due to flawed AI-generated code.

Employees emphasize that they are not against AI as a technology—they are against the rapid, unexamined use of AI to increase monitoring, speed up workflow, reduce human roles, and intensify strain on environmental and community resources.