Amazon Lays off 14,000 Corporate Jobs, Affected Employees Given 90 Days to Seek New Roles

Amazon has announced it is laying off 14,000 corporate jobs. Beth Galetti, a senior executive at the company, sent a message to employees early Tuesday announcing the reduction in staffing.
In the message, Galetti announced that Amazon is “making organizational changes” and has decided to peel back some of the layers of the decision. “The reductions we’re sharing today are a continuation of this work to get even stronger by further reducing bureaucracy, removing layers, and shifting resources to ensure we’re investing in our biggest bets and what matters most to our customers’ current and future needs,” Galetti says in the message.
The message goes on to clarify that “most employees” are being given 90 days to look for new roles internally. Recruitment teams are said to be prioritizing internal candidates to help shuffle around affected staff. For those unable or unwilling to find new roles at Amazon, severance pay, ourplacement services, health insurance, etc., will be provided during the transition period.
Amazon has refrained from mentioning which roles or departments are being targeted as part of the latest mass layoff. Earlier this week, Bloomberg and Reuters reported that Amazon would be conducting a round of layoffs with as many as 30,000 affected employees. So, as of now, it appears as though the total number is significantly less.
Galetti states Amazon will “continue hiring in key strategic areas” in 2026 but will be looking at additional areas within the company to “realize efficiency gains.” This could mean that additional layoffs may be on the horizon. The last significant round of layoffs made by the company was in 2022, when Amazon cut 27,000 workers.
Amazon CEO Andy Jassy noted in June that the employee pool will shrink as the company leverages generative AI. Jassy has been outspoken on his views on how AI can slash labour costs and be a viable replacement for the human workforce within the company. Amazon is likely to continue to invest in AI as far as its products and services and thus will invest equally for its own efficiency.
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