Microsoft Caps AI Usage as Token Costs Force Engineers to Rethink Productivity

Microsoft to Engineers: Don't Go Crazy With the AI Use. It's Not Cheap

As the cost of AI continues to skyrocket, Microsoft engineers are getting new limits on their AI use in the workplace. According to a company email obtained by 404 Media, Microsoft is making the more affordable OpenAI GPT-5.6 its default model for internal use to "get greater value from our token investment." Additionally, Microsoft divisions will soon have an "AI token budget target" that employees can individually track. Tokens are like AI credits; the more words you use when prompting an AI, the more tokens you eat up. For a time, tech employees were encouraged to use AI as much as possible, but that activity, or tokenmaxxing, resulted in huge bills for the companies using it. In the email seen by 404 Media, Microsoft EVP Jay Parikh said, "We all need to be aware of how we consume tokens. Tokenmaxxing is not what we are optimizing for." Instead, "I want all of us focused on maximizing outcomes that move the needle for our customers and our business," Parikh said. "As such, we are updating our internal guidance and managing token spend with the same discipline we apply to every other critical resource." Parikh's email links to internal Copilot guidelines, which say Microsoft divisions will have an "AI token budget target," but that document doesn't get into specifics. This comes about two months after GitHub Copilot moved to usage-based billing, and some users quickly hit their limits. Microsoft is reportedly also trying to cut down on AI costs by sending Microsoft 365 AI prompts to its internal MAI models rather than Anthropic and OpenAI. Companies like Amazon, Adobe, Atlassian, and Citi have also cracked down on their employees' token spending, 404 Media reported last month.

Microsoft tells engineers to curb their token-burning enthusiasm

Concerned about cost, Microsoft is reportedly warning employees against wasteful AI use. In an email seen by 404 Media, Microsoft Executive Vice President Jay Parikh warned that individual divisions would be given targets and could face restrictions. "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," the email states. The Register asked Microsoft what it made of the report, and a spokesperson told us the company had "nothing to add." Microsoft is hardly short of cash and has continued to pour money into its AI investments, but its apparent efforts to curb wasteful AI spending bring it into line with other companies attempting to rethink how employees use AI. Tokenmaxxing is the practice of using as many AI tokens as possible, and treating the volume as proof of productivity. A token is the basic unit used to process and bill for the input and output of AI models. If a company is measuring employees' use of AI, burning through as many tokens as possible will make the figures look rosier. However, companies need to consider the cost of those tokens alongside other factors, such as productivity. As The Register observed in April: "Tokenmaxxing isn't an AI strategy". Microsoft does not appear to be seeking an overall reduction in token use - it wants to be an AI-first company, after all. It simply wants more bang for its buck. "As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens," the email reportedly said. GitHub moved to usage-based billing in June. Although Microsoft's code-hosting tentacle measures consumption in AI Credits rather than raw tokens, the change makes the cost of engineers burning through them harder to ignore. Not that this sends a particularly great message to customers. As one anonymous Microsoft staffer told 404 Media: "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?" That's a little simplistic. Microsoft can afford its AI products; the email suggests it wants engineers to use them with greater regard for cost and results. Which is, perhaps, the message customers should take away. AI tools and services carry a cost that needs to be measured, rather than treating "how many tokens did you consume?" as a measure of AI adoption. ®

Microsoft AI exec tells developers to default to OpenAI's top model as part of efficiency push

Microsoft is telling developers working on AI coding projects to rely on OpenAI's top-tier model over rival products as part of an effort to maximize efficiency. "Internally, shifting more workloads to OpenAI models helps us get greater value from our token investment," Jay Parikh, executive vice president of Microsoft's CoreAI engineering group, wrote this week in a memo to employees that was viewed by CNBC. Tokens measure the scale of AI processing, with one token equal to about three-quarters of a word. While Microsoft has built its own artificial intelligence programming model and gives cloud customers access to over 11,000 models, including from Anthropic, the company wants staffers to take advantage of valuable intellectual property rights that come from the software giant's early investment in OpenAI. Parikh, whose group includes GitHub, Visual Studio and Visual Studio Code, told staffers to default to OpenAI's flagship GPT-5.6 Sol when working in the GitHub Copilot coding tool, and use that model most of the time. OpenAI released GPT-5.6 Sol in July. Efficiency in AI spending is becoming increasingly important across corporate America after a brief era of so-called tokenmaxxing, when developers were encouraged to run up large token bills without worrying about their output. A slew of open-weight models, largely out of China, have gained popularity because they're cheaper to access than the frontier models and allow users to tweak them and host their work on the infrastructure of their choice. For the large hyperscalers, Wall Street is starting to demand more from their massive AI spending commitments, with capital expenditures from Microsoft, Amazon, Alphabet and Meta expected to top $700 billion collectively this year. Across the group, free cash flow dwindled in the latest quarter -- and even went negative for Amazon and Alphabet. Microsoft's cash generation fell by 23% from a year earlier, a mild decrease compared to its peers.

Microsoft tells employees to stop tokenmaxxing, sets division-level AI budgets

Microsoft's EVP told staff to curb AI token use, switched to a cheaper default model, and set division-level budgets Microsoft executive vice president Jay Parikh has told employees in an internal email that the company needs to rein in its AI token consumption, writing that "tokenmaxxing is not what we are optimizing for." The message, first reported by 404 Media, reveals that Microsoft has switched its default internal AI model to a cheaper OpenAI alternative and introduced formal AI token budget targets at the division level. As of July 2026, every Microsoft division now has an AI token spending cap. Employees can track their individual AI usage through an internal dashboard, and many engineers have been spending hundreds to a few thousand dollars a month in tokens. The shift marks a significant turn from the company's earlier posture of encouraging widespread AI adoption across its workforce. The move places Microsoft squarely in a pattern TNW has tracked since June, when companies including AT&T, Meta, Uber, Walmart, and Amazon began capping or throttling employee AI spending after discovering that token-priced tools behave nothing like the seat-based software licences finance teams know how to budget. Microsoft had already quietly cancelled most Claude Code licences inside its Experiences and Devices group in May, telling engineers to migrate to GitHub Copilot CLI by the end of its fiscal year. Parikh's email goes further. By making a cheaper model the default and creating division-level budgets, Microsoft is building the kind of metered infrastructure that treats AI tooling more like a utility bill than an enterprise software subscription. The anonymous Microsoft employee who shared the email with 404 Media described the budget caps as "the ultimate admission" that the company cannot afford to let its own staff use its AI products without limits. Microsoft is not alone in confronting the maths. Amazon, Adobe, Atlassian, and Citi have all introduced some form of AI usage throttling or spending visibility in recent months. Per-token prices have fallen roughly 98 percent since late 2022, but enterprise AI bills have still tripled because agentic tools consume dramatically more tokens per task than the autocomplete interactions that shaped the original pricing models. The broader financial picture at Microsoft remains strong. The company's most recent quarterly results showed revenue, operating income, and net income all beating Wall Street expectations. But the internal cost controls suggest that even a company generating record profits sees uncapped AI token spending as a line item that can spiral faster than the productivity gains it delivers. For employees, the message is clear: use AI, but know what it costs. That is a long way from the "AI for everyone" rhetoric of eighteen months ago, and it may be the most telling signal yet that the enterprise AI market is moving from an experimental phase into a procurement discipline where every token has a price tag and every division has a ceiling.

'Tokenmaxxing is not what we are optimizing for': Microsoft tells engineer to calm down on AI usage

* Microsoft aims to cut down on "tokenmaxxing" by employees * New guidelines will look to control AI token use to focus on ROI * This is despite Microsoft reporting record financial results recently Microsoft has apparently been forced to introduce limits on how much AI usage its engineers are allowed followed reports that some have been taking things to extreme. The software giant is looking to cut back on "tokenmaxxing" within the company - where employees use far more AI tokens that may be necessary. In an email seen by 404 Media, Microsoft warned employees that new limits on token usage would be introduced as it looked to focus on getting the most out of its AI platforms. New guidelines "As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens," the email to employees from Jay Parikh, an executive vice president at Microsoft said. "Tokenmaxxing is not what we are optimizing for," he continued. "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." In a bid to achieve "get greater value from our token investment", Parikh went on to say Microsoft is making access to the cheaper OpenAI GPT-5.6 model the default model for internal use. Employees were also reminded (via a link to updated internal Copilot guidelines) that as of July 2026 Microsoft divisions have an "AI token budget target," with employees also able to 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," 404 Media reported the guidelines as saying. Parikh noted that Microsoft does not want to impair the company's progress towards becoming "AI-first," and that it will keep learning and adjusting its AI policies as models and products evolve. "We are not optimizing for fewer tokens," he said. "We are optimizing for more impact per token." The restrictions may come as a surprise to some Microsoft employees, given that the company recently reported yet another bumper financial quarter, and in that respect should have money to splash out on AI usage. However it is the latest step by Microsoft as it looks to focus internal AI usage. In May 2026, it was reported the company was reportedly canceling most of the Claude Code license it uses internally, with engineers being told to use GitHub Copilot CLI, with users given a June 30 2026 deadline to remove Claude Code from their workflows. However tokenmaxxing has proven to be an issue at other tech giants - perhaps most notoriously at Uber, which was forced to admit it had exhausted its entire annual 2026 AI coding token budget in just four months due to massive employee adoption of agentic tools like Anthropic PBC's Claude Code and Cursor. Amazon also recently revealed it had spent $1.8 million on an internal Claude Sonnet deployment intended for matching author details with product listings, after it ballooned far beyond its planned budget and was ultimately given menial tasks to do. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.

Microsoft puts the brakes on AI: why is it limiting its use to its own employees?

Microsoft is rethinking part of its AI strategy when it comes to usage. According to 404 Media, the company will assign different token budgets to its divisions and invite each employee to check their spending to stay within them. The company's goal is to get more value out of each token, shifting the focus from indiscriminate consumption toward results. Better results from each token Jay Parikh, Microsoft's vice president, has asked engineers to measure the value of GitHub Copilot. The increasingly common term "tokenmaxxing" describes a pattern of usage in which more queries are made, more agents are used, and more models are tested, and it's this way of working that, according to Microsoft, has to give way to management like any other critical resource. The guidelines include budget targets starting in July 2026. Apparently, some engineers spend hundreds or thousands of dollars a month on tokens; which helps explain why Microsoft wants to tie each request to concrete results and adjust the limits according to usage. GPT-5.6 as the main option To improve efficiency, Microsoft has made GPT-5.6 the default model. The decision coincides with the drop in GPT-5.6 pricing and with Copilot's ability to work with different models for several years now. Microsoft is thus following a trend already set by AT&T, Meta, and Uber, with spending reaching as much as $7,500 a month per employee.

Microsoft tells employees to stop tokenmaxxing as it switches to OpenAI's GPT-5.6 Sol

Amazon, Meta, Adobe, Uber and other firms are also tightening AI usage as enterprise AI costs continue to rise. Microsoft is reportedly asking employees to use AI more efficiently instead of consuming the maximum possible computing resources. As per a 404 Media report, the company has internally urged staff to avoid tokenmaxxing even as it adopts OpenAI's GPT-5.6 Sol as the default AI model for employees. With this, the company wants to keep AI spending under control while continuing to expand the use of gen AI across their businesses. In an internal memo, Microsoft executive vice president Jay Parikh reportedly told employees that the company wants them to focus on the quality of outcomes rather than the number of AI tokens they consume through GitHub Copilot. For the unversed, tokens are the basic units AI models use to process prompts and generate responses, meaning more complex or frequent requests generally result in higher costs. Parikh also said that Microsoft's objective is not to reduce AI usage altogether but to generate greater value from every token spent. The memo also stated GPT 5.6 Sol was selected because it delivers better value for Microsoft's AI investment and is believed to be more cost-effective than some competing models, including Anthropic's Claude family. The report also claims that Microsoft has introduced updated internal Copilot guidelines that include AI token budget targets for business divisions. The employees are said to be able to monitor their individual AI usage, but no formal personal spending limits have reportedly been enforced yet. Internal data cited in the memo suggests some engineers consume AI tokens worth hundreds to thousands of dollars every month. Not only Microsoft, companies like Amazon, Uber, Adobe, Atlassian and Citi have reportedly introduced measures to reduce AI related expenses, while Meta previously implemented internal token budgets and discontinued its "Claudeonomics" leaderboard.