Google has laid off around 200 employees from its global business unit focusing on sales and partnerships, redirecting resources to artificial intelligence (AI) and data centers. The company’s restructuring follows a broader trend among Silicon Valley giants prioritizing AI and infrastructure investment.
Google, the tech giant headquartered in Mountain View, California, has laid off approximately 200 employees in its global business unit dedicated to sales and partnerships. This move, reported by The Information on May 6, 2025, comes as part of a broader company shift in focus towards artificial intelligence (AI) and the development of data centers.
The company, which is heavily investing in the expansion of its AI capabilities, confirmed the layoffs, with a spokesperson stating,
Since combining the Platforms and Devices teams last year, we’ve focused on becoming more nimble and operating more effectively, which included making some job reductions in addition to the voluntary exit program that we offered in January.”
These changes are designed to optimize collaboration and improve customer service.
Google’s move follows a wider trend among Silicon Valley tech giants. Companies like Meta, Microsoft, and Amazon have all scaled back investments in certain areas, prioritizing AI and the infrastructure required to support it. Notably, last month, Google had also made significant cuts to its Platforms and Devices division, affecting employees working on Android OS, Chrome browser, and Pixel phones, some of whom were based in India.
Since January 2023, Google has laid off at least 12,000 employees, or 6% of its global workforce, a decision that reflects the broader challenges in the tech industry. With these ongoing restructuring efforts, the company is aligning its resources toward emerging technologies and more sustainable growth in a rapidly changing market.
The latest cuts further underscore the industry-wide trend of focusing resources on AI development and the necessary infrastructure to support it, including data centers and machine learning innovations. As of now, it remains unclear if more job cuts are on the horizon in other parts of the company, including its Indian offices.
