On Tuesday, Google announced a voluntary buyout program aimed at employees across various divisions, including its knowledge and information sectors, engineering teams, and marketing and research departments. This initiative is part of the company's ongoing efforts to streamline its workforce, following the layoff of 12,000 employees earlier this year. While the exact number of employees affected by this latest buyout offer remains unconfirmed, reports indicate that it includes those in the search and ads divisions. The program is available to U.S.-based employees, and in conjunction with this offer, Google is also requiring some remote workers within 50 miles of an office to return to a hybrid work model, enhancing in-person collaboration. Google spokesperson Courtenay Mencini noted in a statement that earlier this year, some teams initiated a voluntary exit program with severance for U.S. employees, and this latest offering aims to support ongoing strategic goals. The knowledge and information unit, which oversees around 20,000 employees, has undergone significant changes, including a recent reorganization led by executive Nick Fox. In a memo to staff, Fox encouraged high-performing employees who are engaged with their work to remain with the company, while also acknowledging that the buyout could be a suitable option for those feeling misaligned with Google's strategic direction or struggling to meet expectations. He expressed the company’s ambitious goals and the importance of having a motivated workforce. This buyout initiative follows remarks from Google's finance chief, Anat Ashkenazi, who emphasized the need for cost-cutting as the company gears up to increase investments in artificial intelligence infrastructure in the coming years. Earlier in 2023, other units within Google, including 'Platforms and Devices' and 'People Operations,' also offered voluntary buyouts to manage costs more effectively. In a broader shift towards efficiency, Google is revamping its internal learning platform to emphasize essential training in modern AI tools, moving away from less critical programs to better align with business needs.
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