Meta to cut 10 percent of workforce while Microsoft offers voluntary buyouts in the US

Two of the world’s largest technology companies are making major changes to their workforce. Meta has announced that it will lay off about 8,000 employees, which is nearly 10 percent of its total workforce. At the same time, Microsoft is offering voluntary buyouts to around 8,750 employees in the United States, or about 7 percent of its US workforce.

These announcements came on the same day and highlight a growing shift across the technology industry. Companies are adjusting their workforce as they increase spending on artificial intelligence and related technologies.

Meta said the layoffs are part of a plan to improve efficiency and allow more investment in key areas of its business. Reports also indicate that the company will leave around 6,000 roles unfilled. This shows that Meta is not only cutting jobs but also slowing hiring.

Microsoft is taking a different approach. Instead of direct layoffs, it is offering buyouts that allow employees to leave voluntarily with financial support. These offers are expected to be made in early May. The aim is to reduce the workforce in a more gradual way.

A memo from Microsoft’s chief people officer, Amy Coleman, explained that the program is designed to give eligible employees the choice to move forward on their own terms, with company support.

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Rising Costs and Heavy Investment in AI

The main reason behind these workforce changes is the rising cost of artificial intelligence. Both companies are investing heavily in building and expanding AI systems. This includes spending on data centers, infrastructure, and highly skilled employees.

Meta has already informed investors that its expenses for 2026 will increase significantly. The company expects total spending to reach between $162 billion and $169 billion. A large portion of this will go toward infrastructure and employee compensation, especially for AI experts who are being hired at very high salaries.

Meta is also expanding its physical infrastructure. The company recently started building a new AI-optimized data center in Tulsa, Oklahoma. This project is valued at $1 billion and will become its 28th data center in the United States.

Microsoft is also investing billions in its global network of data centers. These centers support cloud computing services, artificial intelligence systems, and productivity tools like its AI assistant, Copilot.

Such large investments require companies to carefully manage costs while continuing to grow their AI capabilities.

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Industry Shift Toward Efficiency and Automation

The actions taken by Meta and Microsoft reflect a wider shift in the technology sector. There is an increasing focus on efficiency and automation. AI tools can now perform tasks that previously required large teams of employees.

As a result, companies are restructuring their workforce. Some roles are being reduced, while demand is growing for workers with advanced AI skills. This shift is leading to leaner organizations that aim to maintain productivity with fewer employees.

Industry analysis supports this trend. Dan Ives noted that companies are using AI tools to automate tasks, reduce costs, and streamline operations. This allows them to maintain productivity while moving toward a more efficient structure.

Microsoft’s buyout plan offers employees flexibility by allowing them to choose whether to leave. In contrast, Meta’s approach involves direct layoffs and unfilled roles. Both strategies are aimed at reducing workforce size while shifting focus toward AI investments.

These announcements also affected the stock market. Meta’s stock fell by 2.3 percent, while Microsoft’s stock dropped by 3.97 percent on the same day.

The developments show how major technology companies are adjusting their workforce and spending as artificial intelligence becomes a central part of their operations.

T U Deshmukh
T U Deshmukh is the leading voice on the subject of Jobs, AI, Data and layoffs and she regularly contributes a column on Jobs for Newsinterpretation.

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