
Tech Giants Raise $200B in Debt to Fund AI Expansion
U.S. tech companies have issued over $200 billion in bonds this year to fund a massive expansion of AI infrastructure, raising concerns among market analysts.
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U.S. tech companies have issued over $200 billion in bonds this year to fund a massive expansion of AI infrastructure, raising concerns among market analysts.

Tech giants including Google, Meta, Microsoft, and Amazon are dramatically accelerating their multi-billion dollar spending on AI, fueling concerns of a market bubble.

Big Tech giants are pouring billions into AI, but their strategies are splitting. Microsoft is building to meet existing demand, while Meta makes a speculative bet on the future.

Meta Platforms is set to spend over $100 billion next year on artificial intelligence, a massive gamble by Mark Zuckerberg that caused a $160 billion market value drop.

Amazon's cloud division, AWS, reported its strongest growth in nearly three years, with sales surging 20% to $33 billion, fueled by massive demand for AI.

Reddit has filed a lawsuit against data scraping companies, accusing them of stealing user content to train artificial intelligence models without permission.

A few technology giants are establishing control over the AI industry through vertical integration, owning everything from chips to cloud services and AI models.

Meta is actively monitoring employee use of internal AI tools with dashboards and setting specific adoption targets for divisions like Reality Labs.

Technology giants are investing trillions of dollars in a global AI infrastructure arms race, building vast data centers and competing for critical resources.

Big Tech and private equity are set for a major acquisition spree in AI, driven by lenient regulations. Analyst Dan Ives identifies C3.ai and Sandisk as top targets, with Apple and IBM poised to be ke

Corporate spending on artificial intelligence has become a primary driver of the U.S. economy, rivaling consumer spending but fueling concerns of a speculative bubble.

Generative AI companies are facing major financial hurdles, including high operational costs, significant copyright lawsuits, and competition from free open-source models.