Microsoft said to freeze hiring in cloud, sales

Microsoft has told managers in its cloud unit and North American sales groups to pause new hiring, with an exception for candidates who already had offers, The Information reported, citing three employees.

The report said executives cited cost cuts and higher margins, and that the freeze does not apply across the company, as teams working on Copilot are still hiring.

The move comes ahead of Microsoft’s fiscal year-end in June, as big tech firms try to offset heavy spending on AI infrastructure.

Microsoft had about 228,000 employees as of June 2025 and has faced investor pressure after slower cloud growth in the October to December quarter alongside record capital spending.

🔗 Source: Reuters

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Implications, context, and why it matters.

Microsoft’s hiring pause follows the high price of its AI build-out

Microsoft slowed hiring after capital expenditures hit $37.5 billion in one recent quarter, with about two-thirds going to short-lived hardware such as graphics processing units (GPUs) and central processing units (CPUs) for AI workloads 1.
The outlay is squeezing profits, with Microsoft saying AI infrastructure costs are lowering cloud gross margin and forecasting Microsoft Cloud gross margin near 65% next quarter 1.
The step extends earlier cost limits, including a hiring pause in part of its U.S. consulting unit; that group brought in $1.9 billion in the September quarter, about 1% lower than a year earlier 2.
Other soft spots add pressure, including gaming revenue down 9% in constant currency plus impairment charges that lifted operating expenses in the More Personal Computing segment 1.

The AI boom changes what big tech spends to keep growing

The bottleneck is moving from finding more customers to getting enough computing capacity, with Microsoft’s CFO saying demand is running ahead of supply 3.
Investors can still punish solid earnings when spending looks steep; Microsoft shares fell over 5% after hours even after strong quarterly revenue 4.
The pattern suggests hiring may cool in mature teams so companies can pay for the costly infrastructure needed to expand AI products.