Amazon Employees Report AI Tools Are Increasing Workload, New Study Confirms
Key Facts
- What: Amazon employees say company-mandated AI tools are adding tasks, increasing oversight and failing to reduce time spent on core work.
- Study: A new ActivTrak report finds AI is being deployed as “an additional productivity layer, not a substitute for existing work.”
- Employee Feedback: Workers describe internal AI tools as “half-baked,” requiring extra vetting time and creating more meetings.
- Broader Impact: Management is using AI as justification for higher productivity quotas and tighter deadlines.
- Context: The complaints align with similar concerns raised by over 1,000 Amazon workers in a separate open letter about AI’s effect on jobs and workloads.
Amazon employees are pushing back against the company’s aggressive rollout of artificial intelligence tools, saying the technology is increasing their workload rather than reducing it. A new study validates their experience, finding that AI is primarily layered on top of existing responsibilities instead of replacing them.
The frustrations surfaced in interviews and internal feedback compiled by Gizmodo, where engineers and other staff described being required to adopt frequently unreliable AI systems pushed by managers eager to demonstrate productivity gains. One employee told the outlet that managers would casually suggest experimental tools developed during hackathons, forcing workers to spend additional time evaluating and integrating them.
AI as Extra Layer, Not Replacement
According to the ActivTrak study referenced in the reporting, AI tools at companies including Amazon are functioning as “an additional productivity layer, not a substitute for existing work.” The report confirms what many Amazon staff have been saying internally: while some discrete tasks may complete faster, the overall time spent on projects has not decreased.
This dynamic creates a double burden. Employees must continue performing their original duties while simultaneously learning, testing and often correcting outputs from nascent AI systems. The added oversight and mandatory adoption of these tools has led to more meetings, more documentation and more performance metrics to track AI usage itself.
One Amazon employee, identified only as Denny in the Gizmodo report, described the tools 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,” he said. Instead of saving time, the tools required him to invest extra hours vetting their output.
Pressure for Higher Output
The introduction of AI has coincided with intensified productivity demands. A senior software engineer with over a decade at Amazon, speaking anonymously to The Guardian, said leadership is using AI as justification to push longer hours and tighter deadlines.
“I signed the letter because of leadership’s increasing emphasis on arbitrary productivity metrics and quotas, using AI as justification to push myself and my colleagues to work longer hours and push out more projects on tighter deadlines,” the engineer stated.
This pattern is not limited to engineering teams. Reports indicate warehouse workers and product staff are also experiencing AI-driven changes that accelerate output expectations while adding surveillance and additional administrative tasks.
Company Context and Competitive Landscape
Amazon has made artificial intelligence a centerpiece of its corporate strategy, integrating generative AI features across its retail, cloud computing and logistics operations. The company’s rapid deployment stands in contrast to more measured approaches at some competitors, though similar complaints about “AI washing” and inflated productivity claims have emerged at other large technology firms.
The ActivTrak survey, while acknowledging that AI can speed up certain tasks and free limited time in some organizations, painted a more mixed picture than Amazon’s internal narrative. At Amazon specifically, employees reported that the time saved on individual tasks was offset by new responsibilities created by the technology itself.
Impact on Developers, Workers and Industry
“AI is being used as an additional productivity layer, not a substitute for existing work.”
This single finding from the ActivTrak report has resonated across tech workers who feel their companies are using AI announcements to mask demands for increased output without corresponding reductions in headcount or workload.
For software engineers, the implications are concrete: more time spent reviewing AI-generated code, more meetings to discuss AI tool adoption, and mounting pressure to demonstrate how they are personally leveraging AI to hit higher productivity targets. The technology that was marketed as a way to eliminate drudgery is instead creating new forms of it.
The story also highlights a growing disconnect between executive-level AI enthusiasm and on-the-ground reality. While companies tout multimillion-dollar investments in generative AI, frontline employees are left managing the messy implementation phase where tools are immature and expectations are unrealistic.
What’s Next
Amazon has not publicly responded to the specific employee complaints detailed in the Gizmodo article. The company continues to invest heavily in AI development, particularly through its AWS cloud division, which offers numerous AI services to enterprise customers.
Industry observers expect similar tensions to surface at other large employers as AI adoption accelerates. The ActivTrak study suggests the pattern seen at Amazon may be widespread: productivity gains from AI are real but modest, and often fail to translate into reduced workloads when new tasks and oversight requirements are factored in.
Workers are increasingly calling for more thoughtful implementation, including better vetting of tools before company-wide mandates, clearer communication about expected productivity outcomes, and recognition that AI currently functions more as an assistant than a replacement for human labor.
As generative AI tools mature, the central question remains whether companies will use the technology to genuinely augment human work or simply to extract more output from the same number of employees. At Amazon, current evidence suggests the latter approach is creating friction.
Sources
- Gizmodo: Amazon Employees Say AI Is Just Increasing Workload. A New Study Confirms Their Suspicions
- The Guardian: Amazon is determined to use AI for everything – even when it slows down work
- The Guardian: More than 1,000 Amazon workers warn rapid AI rollout threatens jobs and climate
- Fast Company: Amazon workers say AI is being used to surveil, speed up, and squeeze the workforce
- BizzBuzz: Amazon’s aggressive AI push raises employee concerns