- Amazon wants 80% of its developers to use artificial intelligence every single week
- The company even tracks the use of AI tokens via internal leaderboards
- Unwilling workers use artificial intelligence where it is not necessary to simply inflate numbers
Some Amazon employees reportedly use the company’s internal agentic AI platform, MeshClaw, to automate unnecessary or trivial parts of their work simply to boost internal AI usage metrics.
This comes as the company’s employees face pressure from above to use more AI — Amazon wants four out of five of its developers to use the technology weekly, and has since started tracking AI token usage on internal leaderboards.
With worker adoption still relatively slow, many have turned to behavior described as ‘tokenmaxxing’ to artificially inflate their AI usage metrics, Financial Times has reported.
Amazon workers pretend to use artificial intelligence more than they do
MeshClaw is one of the company’s internal systems designed to support the adoption of AI, allowing employees to create their own AI agents to navigate software, coding, emails and other common workflows.
But workers are now said to optimize their usage to maximize token counts rather than useful results, ultimately leading to unnecessary AI calls that increase Amazon’s computational costs without delivering true ROI.
And it’s not just Amazon looking to drive AI adoption in-house, with Meta, Microsoft and other companies also reportedly looking to gamify uptake with internal leaderboards.
A recent study by engineering analytics firm Jellyfish (via Business Insider) reveals that while the heaviest AI users consumed about 10x more tokens than the average, they achieved only a 2x increase in productivity.
Conversely, Nvidia CEO Jensen Huang said in an interview with the All-In Podcast that he would be “deeply disturbed” if workers like software engineers or AI researchers didn’t spend half their annual salary’s worth of AI tokens annually — that’s $250,000 in tokens for a $500,000 worker.
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