According to Amazon employees, the company is pushing them to incorporate more and more AI in their workflows. What exactly they should be using it for is less clear, leaving the door open for employees to waste AI resources on unnecessary tasks.
As detailed in a new report by the Financial Times, Amazon employees are reportedly using the company’s new internal AI tool, MeshClaw, to create extraneous AI agents—not to increase productivity, but to drive up AI activity.
The employees said Amazon is tracking their consumption of AI tokens, incentivizing some of their colleagues to prioritize quantity over quality when it comes to the technology.
Amazon employees sound off
Several anonymous Amazon employees told the Financial Times that rising AI expectations are changing their workplace for the worse. “There is just so much pressure to use these tools,” one Amazon worker said. “Some people are just using MeshClaw to maximize their token usage.”
Though Amazon apparently told employees that their AI usage stats wouldn’t come up in performance evaluations, not all workers are buying it. “Managers are looking at it,” another employee said. “When they track usage, it creates perverse incentives, and some people are very competitive about it.”
The interviewed employees claim that the company has a target of 80% of developers using AI each week, and that employees’ token consumption is tracked on an internal leaderboard. But a representative for Amazon said that there is no such company-wide metric for AI usage, nor are there internal leaderboards where employees are measured against each other. Rather, employees are able to view their own AI usage on personal dashboards.
MeshClaw, the tool some Amazon employees are using to inflate their AI usage, takes inspiration from OpenClaw, another AI tool that’s infamous for its potential productivity—and for its potential risks. Unlike other AI models, OpenClaw and MeshClaw run locally on users’ own hardware, giving them unprecedented independence. Earlier this year, the director of alignment at Meta Superintelligence Labs went viral when OpenClaw nearly nuked her entire email inbox, proving the potential danger of giving too much access to AI.
At Amazon, MeshClaw can be used to deploy code, sort through emails, and engage with apps like Slack. A recent internal memo said that MeshClaw “dreams overnight to consolidate what it learned, monitors your deployments while you’re in meetings, and triages your email before you wake up.”
It’s a level of autonomy that not all Amazon employees are on board with. “The default security posture terrifies me,” one employee said. “I’m not about to let it go off and just do its own thing.”
Amazon’s AI rationale
In a statement to Fast Company, an Amazon spokesperson said that MeshClaw “was built by a small team, and it enables thousands of Amazonians to automate repetitive tasks each day, freeing up time for employees to be more strategic and solve bigger customer problems.”
“This is just one example of how we’re empowering teams to experiment with AI and how we’re supporting employees’ adoption of AI tools, and we’re proud of the way our teams are embracing this technology,” the statement continued.
And as far as any security concerns, the Amazon spokesperson said the company “welcome[s] feedback from employees about their experiences with AI tools because their feedback helps us improve the quality of the tools we provide.”
“Our dedicated teams of generative AI and security experts help us meet these commitments through the development of security testing and controls for our AI models and applications,” the spokesperson said.
Amazon isn’t the only company reportedly asking its employees to ramp up their AI usage. At companies like OpenAI and Anthropic, individual employees are processing billions of tokens a week, while managers at Meta and Shopify are factoring workers’ token consumption into their performance reviews. At Google, even nontechnical employees are being told to use artificial intelligence in their workflows.
It all amounts to a culture of so-called “tokenmaxxing,” where employees are encouraged to use AI as much as possible, regardless of the quality of their output.