Amazon employees are reportedly using in-house AI tools to automate non-essential tasks to increase technology adoption.
According to the Financial Times, the company recently began rolling out an in-house product called MeshClaw. This will allow employees to create AI agents that can connect to workplace software and complete tasks on their behalf.
However, some employees told the publication that their colleagues were using the tool to generate unnecessary AI activity in order to increase token consumption. A token is a unit of data processed by an AI model.
This action was reported after Amazon introduced a weekly goal for more than 80% of its developers to use AI. The company also tracks internal AI usage through a leaderboard showing token consumption.
Amazon tells employees that AI usage statistics will not be used to evaluate performance, but several employees told the FT they believed their managers were monitoring the data.
One employee said there was “tremendous pressure” to use the tool, and another said tracking usage created “false incentives.”
In Silicon Valley, the term “tokenmaxxing” has emerged to describe employees artificially inflating AI usage metrics, and staff at Meta are said to have engaged in similar behavior.
Amazon’s MeshClaw tool can reportedly initiate code deployments, prioritize emails, and interact with workplace applications such as Slack.
The company said the product has enabled “thousands of Amazonians to automate repetitive tasks every day,” and described the experimentation and deployment of AI tools as an example of “empowering teams.”
The group added that it remains committed to the “safe, secure and responsible” development and deployment of generative AI.
However, some Amazon employees reportedly expressed concerns about the security implications of giving AI agents permission to act on your behalf, warning that the software could make errors or perform unintended actions.
The move comes as major technology companies increase pressure on employees to adopt generative AI tools, with the aim of proving the value of significant investments in AI infrastructure and embedding the technology into daily workflows.
Amazon is expected to spend heavily on capital expenditures this year, with much of that investment going to AI and data center infrastructure.
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