Amazon Employees Say AI Is Just Increasing Workload
gizmodo.com
March 12, 2026
3 min read
Summary
A new study confirms that Amazon employees believe AI is increasing their workload rather than alleviating it. Despite promises of improved work-life balance and reduced overtime, many workers feel that AI tools have not delivered the expected benefits.
Key Takeaways
- Amazon employees report that the company's AI tools increase their workload rather than reduce it, requiring them to spend additional time correcting mistakes made by the AI.
- A study by ActivTrak found that AI adoption led to a 104% increase in emails sent, a 145% increase in chat and messaging, and a 94% increase in time spent with business management tools, indicating that AI does not reduce workloads.
- The ActivTrak survey revealed that while AI may speed up some tasks, the resulting "free time" is often filled with additional work, ultimately benefiting company output without easing employee burdens.
- Former Google executive Mo Gawdat stated that technology often magnifies existing human abilities and values, highlighting a disconnect between the promised benefits of AI and the reality faced by workers.
Community Sentiment
NegativePositives
- The integration of AI tools like Copilot has significantly increased productivity for some employees, suggesting potential for enhanced efficiency in tasks.
Concerns
- Despite AI's potential, many employees feel it only leads to increased workloads without corresponding benefits, raising concerns about work-life balance.
- The reliance on AI tools is seen as a way for companies to raise expectations and demands on employees, rather than reducing their workload.
Related Articles
Why developers using AI are working longer hours
Mar 7, 2026
Thousands of CEOs just admitted AI had no impact on employment or productivity
Feb 18, 2026
AI doesn’t reduce work, it intensifies it
Feb 10, 2026
AI needs to augment rather than replace humans or the workplace is doomed
Feb 4, 2026
Did AI really cause job losses at Amazon? It's hard to tell, economist says
Feb 2, 2026
Source
gizmodo.com
Published
March 12, 2026
Reading Time
3 minutes
Relevance Score
52/100
Why It Matters
This page is optimized for focused reading: quick context up top, a clean summary block, and a direct path to the original source when you want the full story.