According to the latest market data, layoffs attributed to AI technology in the United States in 2025 have already approached 55,000, a figure that cannot be overlooked in the overall layoff landscape. As of this year, total announced layoffs across U.S. companies have climbed to 1.17 million, the highest level since the pandemic in 2020. In the fourth quarter alone, October saw 153,000 job cuts, and November recorded over 71,000—of which more than 6,000 were directly linked to AI-related roles.\n\nAmid a tightening macroeconomic environment, artificial intelligence is emerging as a critical tool for companies to optimize cost structures. High inflation and tariff policies have driven up operating costs, prompting management to seek more efficient resource allocation. A November research report from the Massachusetts Institute of Technology pointed out that current AI technology is already capable of replacing 11.7% of U.S. jobs. Particularly in professional services such as finance and healthcare, this trend is expected to save U.S. companies up to $1.2 trillion in wage costs.\n\nStrategic adjustments by tech giants further confirm this trend. Amazon implemented the largest workforce reduction in its history in 2025, cutting 14,000 positions in one go and explicitly stating that freed-up resources would be redirected toward core technology R&D, including AI. Microsoft concurrently restructured around 15,000 roles, with its latest round affecting 9,000 positions.
IBM CEO Arvind Krishna revealed in a media interview that the company’s AI chatbot has replaced the workflows of hundreds of HR specialists. Meanwhile, Salesforce used AI technology to optimize its customer service system, cutting 4,000 related jobs.\n\nHowever, industry experts have questioned the simplistic attribution of layoffs to AI. Fabian Stefani of the Oxford Internet Institute argues that many companies that rapidly expanded during the pandemic actually went through a phase of “severe over-hiring,” and the current layoffs may be more accurately seen as a necessary market self-correction. He emphasizes that companies often prefer to attribute structural job cuts to technological change rather than admit earlier talent strategy failures. This view is shared by some economists, who believe that labor market adjustments result from multiple factors, with AI acting as an accelerator rather than the root cause.\n\nFrom a macro industrial perspective, the impact of AI on the job market shows clear sectoral divergence. Roles in professional services, customer support, and basic data processing are facing challenges from automation, while demand for talent in AI R&D, system integration, and data security continues to grow. This structural shift requires adaptive changes in the labor market and pushes companies to rethink talent strategies and organizational structures. As large language models continue to break through and computing power infrastructure steadily improves, the AI industry is entering a new development cycle—one that will reshape the future landscape and distribution of employment.