After years of aggressive post-pandemic hiring, companies are now reversing course. Payrolls are being tightened, costs scrutinised, and investment redirected, most notably towards AI. According to the Financial Times, UPS plans to cut as many as 30,000 jobs. Amazon is reducing its workforce by roughly 16,000 roles. Dow will eliminate 4,500 positions, while Home Depot and Nike are making smaller but telling reductions. But Amazon is where the story gets especially interesting. The company has confirmed it will cut about 16,000 roles as part of a fresh organisational restructuring. The move came to light after an internal message from Beth Galetti, senior vice president of people experience and technology at Amazon, was reportedly shared prematurely. In the note, Galetti explained that Amazon is trying to "reduce layers, increase ownership, and remove bureaucracy." Some teams finished that restructuring in October, while others finalised changes more recently. The latest cuts are concentrated on those groups. Amazon has pushed back against suggestions that this signals ongoing, quarterly layoffs. At the same time, it has stressed that hiring will continue in what it describes as "strategic areas". The implication is difficult to miss. Roles perceived as less critical or more easily automated are being cut, while resources are channelled towards technologies that promise scale and efficiency. Amazon may not explicitly frame the changes around AI, but the pattern looks identical to what is happening across Big Tech. Microsoft has been far more direct. Over the past year, the company has let go of about 15,000 employees while committing more than $80 billion to AI infrastructure. CEO Satya Nadella has acknowledged the personal weight of those decisions. Yet, the company framed the cuts as necessary to improve operational efficiency and faster AI execution. The message was designed for Wall Street: prioritise growth, even at the expense of headcount. Google is taking a similar route. Internal memos have urged employees to use AI tools more effectively and deliver more with fewer resources. Hundreds of roles have already been cut this year. The tone is softer, but the direction is consistent. |