Microsoft is cutting nearly 4,800 jobs this week, with most reductions affecting its commercial sales and Xbox divisions. The layoffs follow earlier cuts in 2025 that impacted about 15,000 workers, or 4% of its total workforce. The company now employs over 220,000 people, and these latest cuts come days after announcing the Microsoft Frontier Company, a new initiative to provide embedded engineering support for AI projects.
The layoffs align with Microsoft’s broader strategy to shift focus toward AI, according to Thomas Randall, a research director at Info-Tech Research Group. He said the company has already restructured its commercial business around AI, and the latest cuts are part of that ongoing transformation.
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In an internal memo, Amy Coleman, Microsoft’s chief people officer, described the changes as a response to “tectonic shifts” in the industry. She emphasized that the company is adapting to changing customer needs and business models, which require realigning resources and roles. “Our priority is to place people into new roles aligned to the company’s highest priorities,” she wrote, noting that AI is the top focus.
Despite the cuts, Coleman stated that the Frontier Company initiative is “reshaping how we work” by embedding engineers directly into customer environments. She acknowledged that AI is automating many tasks, requiring employees to “keep learning, building new skills, and adapting.” Customers, she added, are also undergoing similar shifts, and Microsoft aims to lead by example.
The company has also emphasized that layoffs are not being replaced by AI. Instead, the technology is altering workflows, with Coleman stressing the need for “alternative solutions to job eliminations” and continued investment in employee upskilling, particularly in AI.
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Info-Tech’s Randall warned that some customers may face slower response times for “non-strategic asks” as accounts are consolidated under fewer reps. However, large accounts with significant AI, data, and cloud commitments could see “deeper technical engagement,” while routine licensing and support workflows may become leaner.
For now, the company is prioritizing engineering over traditional account management, betting that technical depth will drive long-term success in the AI era.
