At Meta, AI Usage Is Becoming a New Performance Metric

What started as a quiet, incentive-driven culture in Silicon Valley is beginning to take on a more defined shape inside Meta—one where how employees use AI is becoming just as visible as what they produce. 

According to a report by The Information, CEO Mark Zuckerberg recently issued what an internal memo described as a “bold ask”: engineering teams should begin rewriting Meta’s codebases so AI agents can more easily understand and modify them, effectively structuring work around AI systems. 

“It’s well known that this is a priority and we’re focused on using AI to help employees with their day-to-day work,” a Meta spokesperson told The Information. 

But inside the company, this new concept is evolving into something more measurable. 

According to The Information, employees are increasingly tracking not just output, but interaction—specifically, how many tokens they consume while working with AI tools. Tokens, which represent chunks of text or data processed by AI systems, effectively measure how much “work” is being done between humans and machines. And at Meta, higher usage is beginning to carry its own kind of weight. 

The report says the company maintains an internal dashboard that logs token consumption across roles, with software engineers leading usage but visibility extending to other teams. Over a recent 30-day period, total activity reportedly surpassed 60 trillion tokens, according to people familiar with the system who spoke to The Information.