The brutal truth behind the global tech industry's white-collar layoffs is coming to light: in many companies, the real reason for layoffs isn't that AI technology has matured enough to fully replace human labor, but rather that companies are undergoing an aggressive "funds reallocation" — shifting budgets previously used to pay employee salaries toward purchasing expensive AI chips and building data centers.

According to media reports, Oracle is planning its largest restructuring in history, with an expected layoff of up to 30,000 people. The core logic behind this decision is not that its business processes have been automated, but rather that Oracle must free up massive funds to catch up with Amazon and Microsoft in the computing power competition, by investing heavily in AI infrastructure.

This "funds reallocation" phenomenon shows the following characteristics:

Cash Flow "Blood Sucking" Effect: To keep up in the AI era, companies must purchase NVIDIA chips and build data centers. These expenditures, often reaching hundreds of billions of dollars, lead to severe cash flow pressure, making cutting staff the most direct way to "withdraw" funds.

Not Technological Unemployment: Current layoffs are more about cost-cutting due to financial pressure. AI has not yet widely replaced knowledge-based white-collar work, but the high costs of AI construction have already "pushed out" employees in advance.

Big Companies Are Also Shifting: In the past year, Microsoft and Amazon also showed similar trends — on one hand, they announced significant increases in capital expenditures for data centers in their financial reports, while on the other hand, they continuously optimized their personnel structure, shifting resources toward computing power.

Industry opinions suggest that the chain reaction caused by this "funds reallocation" poses a more immediate threat to the job market than "technological substitution." For tech giants, the reduction in white-collar positions at present is more like a strategic sacrifice aimed at ensuring the company's foothold in a future driven by computing power.