Microsoft pauses hiring in U.S. consulting unit as part of cost-cutting plan, memo says
Executive Chair and CEO of Microsoft Corporation Satya Nadella speaks during the “Microsoft Build: AI Day” event in Jakarta, Indonesia, on April 30, 2024.
Ajeng Dinar Ulfiana | Reuters
Microsoft plans to pause hiring in part of its consulting business in the U.S., according to an internal memo, as the company continues seeking ways to reel in expenses.
The announced cuts come a week after Microsoft said it would lay off some employees. Those cuts will affect less than 1% of the company’s workforce, according to one person familiar with Microsoft’s plans.
Although Microsoft indicated earlier this month that it plans to continue investing in its artificial intelligence efforts, cost cuts elsewhere could lead to gains for the company’s stock price. Microsoft shares increased 12% in 2024, compared with a 29% boost for the Nasdaq Composite index.
The changes by the U.S. consulting division are meant to align with a policy by the Microsoft Customer and Partner Solutions organization, which has about 60,000 employees, according to a page on Microsoft’s website. The changes are in place through the remainder of the 2025 fiscal year ending in June.
To reduce costs, Microsoft’s consulting division will hold off on hiring new employees and back-filling roles, consulting executive Derek Danois told employees in the memo. Careful management of costs is of utmost importance, Danois wrote.
The memo also instructs employees to not expense travel for any internal meetings and use remote sessions instead. Additionally, executives will have to authorize trips to customers’ sites to ensure spending is being used on the right customers, Danois wrote.
Additionally, the group will cut its marketing and non-billable external resource spend by 35%, the memo says.
The consulting division has grown more slowly than Microsoft’s productivity software subscriptions and Azure cloud computing businesses. The consulting unit generated $1.9 billion in the September quarter, down about 1% from one year earlier, compared with 33% for Azure.
Under the leadership of CEO Satya Nadella, Microsoft in early 2023 laid off 10,000 employees and consolidated leases as the company contended with a broader shift in the market and economy. In January 2024, three months after completing the $75.4 billion Activision Blizzard acquisition, Microsoft’s gaming unit shed 1,900 jobs to reduce overlap.
A Microsoft spokesperson did not immediately have a comment.
WATCH: Microsoft plans to spend $80 billion to build out AI this year
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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