Microsoft has introduced new limits to how much its engineers can spend on AI tools at work and told employees that maximizing AI use internally is not the company’s goal.
This makes Microsoft one of the last major companies to rein in its employees’ expensive AI use. Scaling back maximalist AI use, or what some companies have called “tokenmaxxing,” is a trend we’ve covered in recent months as the price for using AI has increased while not always delivering commensurate productivity gains.
“As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens,” Jay Parikh, an executive vice president at Microsoft said in an email to Microsoft employees. GitHub is owned by Microsoft, and GitHub Copilot is an AI coding tool. “Tokenmaxxing is not what we are optimizing for. I want all of us focused on maximizing outcomes that move the needle for our customers and our business.”
“As such, we are updating our internal guidance and managing token spend with the same discipline we apply to every other critical resource,” Parikh said in the email.
Parikh’s email says that in an effort to “get greater value from our token investment” Microsoft is making OpenAI GPT-5.6, which is cheaper to use than other models, the default model for internal use. His email also links to updated internal Copilot guidelines stating that, as of July 2026, Microsoft divisions will have an “AI token budget target,” and that employees can track their individual AI spending.
“While there is no target spend value being shared at this time. The data shows that many engineers spend in the range of hundreds of dollars a month to a few thousand dollars in tokens,” the guidelines say. They also say that some decisions may place further restrictions as they monitor spend.
As Parikh’s email notes, the change in policy about AI spend wasn’t introduced because Microsoft is tight on cash. To the contrary, its latest earnings report shows the company revenue, operating income, and net income all increased for the year, beating Wall Street expectations. But the new policy is in line with recent changes at other companies that are trying to curb wasteful AI usage. As we previously reported, companies like Amazon, Adobe, Atlassian, and Citi are all trying to throttle employees’ AI use.
“It’s very telling, to me, that a company which has invested so heavily in AI and subsidized so much AI inference is now guiding its own employees to curb spending,” a Microsoft employee, who asked to be anonymous because they were not authorized to speak to the press, told me. “This really feels like the ultimate admission that we, as hosts of AI infra, can’t afford our own AI products. And if that’s even partially the case, how could the companies we sell it to manage?”
Parikh’s email said Microsoft will keep learning and adjusting its AI policies as models and products evolve, and stressed that he doesn’t want to slow down the company’s progress towards becoming “AI-first.”
“We are not optimizing for fewer tokens,” he said. “We are optimizing for more impact per token.
Microsoft did not immediately respond to a request for comment.
