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The article examines how AI, especially generative AI, is accelerating global layoffs, citing a McKinsey study that predicts 50% of occupations could be automated by 2045, outlines compensation norms for layoffs, and discusses the disproportionate threat to high‑salary, highly educated knowledge workers.
The article examines IBM’s announced plan to replace thousands of jobs with AI, contrasting the company’s rhetoric with on‑the‑ground accounts from three senior engineers who describe the limited capabilities of Watsonx, the impact of massive layoffs, and the resulting operational and talent challenges.
A recent workplace story shows that firing a few low‑performers can shake the entire team's morale, leading to a wave of voluntary resignations as employees lose trust, belonging, and confidence in the company's direction.
IBM China abruptly removed access for more than a thousand research and testing staff, signaling a sudden, large‑scale layoff that coincides with the company's aggressive push into generative AI, cloud services, and a broader global restructuring effort.
The article outlines typical early and later-stage indicators of cost‑cutting layoffs in internet and tech firms, explains the underlying business motives, and offers practical personal strategies for employees to prepare and protect their careers.
During the Labor Day holiday IBM revealed it will pause hiring for roles it deems replaceable by AI, cutting about 7,800 jobs—primarily in HR and back‑office functions—and expects the move to save roughly $2 billion each year while other tech giants similarly scale back human‑focused positions.
The article analyzes why major Chinese internet firms are cutting staff while aggressively recruiting, highlighting the industry's asset-light, talent‑heavy nature, the need for rapid product experimentation, middle‑manager redundancy, and the influx of fresh graduates, and offers perspectives on navigating these contradictory trends.