- Amazon wants 80% of its developers to use AI every week
- The company even tracks AI token usage through internal leaderboards.
- Reluctant workers use AI where there is no need to inflate the numbers
Some Amazon employees are reportedly using the company’s internal agentic AI platform, MeshClaw, to automate unnecessary or trivial parts of their jobs simply to improve internal AI usage metrics.
This comes as the company’s employees are under pressure from above to use AI more: Amazon wants four out of five of its developers to use the technology every week and has since started tracking consumption of AI tokens in internal rankings.
With worker adoption still relatively slow, many have turned to behavior described as “tokenmaxxing” to artificially inflate their AI usage metrics. Financial Times reported.
Amazon workers pretend to use AI more than they actually do
MeshClaw is one of the company’s internal systems designed to support AI adoption, allowing employees to create their own AI agents to navigate software, coding, email and other regular workflows.
But workers are now said to be optimizing their usage to maximize the number of tokens rather than to achieve useful results, ultimately leading to unnecessary AI calls that increase Amazon’s computational costs without providing any real ROI.
And it’s not just Amazon looking to drive AI adoption internally, Meta, Microsoft and other companies are also reportedly gamifying their adoption with internal rankings.
However, a recent study by engineering analytics firm Jellyfish (via Business Insider) reveals that although the biggest AI users consumed about 10x more tokens than average, they only achieved a 2x increase in productivity.
Conversely, Nvidia CEO Jensen Huang said in an interview with the All-In podcast that he would be “deeply alarmed” if workers like software engineers or AI researchers didn’t use half of their annual salary in AI tokens every year — or $250,000 worth of tokens for a $500,000 worker.
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