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The tech industry is experiencing a wave of AI-driven layoffs, with giants like Oracle and Amazon significantly reducing positions

According to the latest industry reports and corporate disclosure documents, the technology industry is experiencing a large-scale wave of layoffs driven by artificial intelligence (AI) in 2026. Despite several companies achieving record high revenues, major tech giants are intensively restructuring their organizational frameworks to reallocate funds towards AI infrastructure development and to enhance operational efficiency through AI. Data shows that in May of this year, the number of layoffs in the tech industry reached the highest monthly record in years, with AI being the core reason for the layoffs.On the execution level, several leading companies have implemented large-scale personnel reductions. Oracle's latest documents reveal that in the past 12 months, 21,000 employees (approximately 13% of the total workforce) have been laid off due to internal AI technology deployment. Amazon cut 16,000 corporate positions in January this year, with management expecting that the widespread application of generative AI will significantly reduce the demand for traditional roles. While Meta laid off about 8,000 employees, nearly 7,000 were reorganized into core AI business positions. Block significantly reduced its workforce by 4,000, nearly halving its total number of employees to adapt to the flattened operational model brought about by AI tools.Additionally, companies including Cisco (4,000 people), Intuit (3,000 people), Atlassian (1,600 people), Cloudflare (1,100 people), Snap (1,000 people), as well as Coinbase, Salesforce, and others have announced substantial layoff plans related to AI transformation this year. At the same time, although Google, Microsoft, and IBM have not disclosed specific total layoff numbers, they are also continuously advancing rolling job replacements and restructuring linked to AI strategies.

JPMorgan has raised its forecast for AI infrastructure investment to $5.5 trillion, as giants like NVIDIA are turning to debt financing

J.P. Morgan strategist Tarek Hamid and his team have raised their forecast for total investment in artificial intelligence infrastructure by 2030 to $5.5 trillion in a recent research report, an increase of $400 billion from their prediction last November. The bank noted that in this investment race for super-scale data centers, approximately $4.1 trillion will come from debt financing, with loans covering an average of 85% of total project costs, indicating that AI capital expenditures have shifted to a debt market-centric financing model.Since last November, global bond issuance related to AI and data centers has exceeded $300 billion. The latest typical case comes from chip giant NVIDIA, which completed the pricing of a $25 billion investment-grade bond issuance this Monday, marking its return to the bond market for the first time in five years. This issuance was conducted in seven tranches (with maturities ranging from 2 to 30 years) and attracted oversubscription of up to $85 billion, ultimately increasing the issuance size by 25% from the initial target.The research report emphasizes that although tech giants like NVIDIA, Alphabet, and Amazon are generating substantial cash flow from the AI boom (with NVIDIA estimating free cash flow exceeding $200 billion this fiscal year), these giants still choose to issue hundreds of billions of dollars in bonds. This indicates that such bond issuance is not due to a "lack of financing," but rather that the credit market is confirming the pricing of AI assets.
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