Wall Street Freaks Out as Big Tech Doubles Down on AI Domination

Wall Street analysts are hitting the panic button as tech giants go all-in on artificial intelligence. Here's why the suits are sweating—and what it means for your portfolio.
AI arms race triggers investor anxiety
While Silicon Valley celebrates each new AI breakthrough, traditional finance types see dollar signs flashing red. 'They're burning cash like it's 1999,' muttered one hedge fund manager between sips of $28 artisanal cold brew.
The real concern? Big Tech might actually succeed—and rewrite the entire financial playbook in the process. Banks are scrambling to appear 'AI-forward' while quietly shorting their own sector. Classic Wall Street.
Trillion-dollar AI buildout raises debt and energy concerns
JPMorgan estimates that building AI infrastructure will cost more than $5 trillion, requiring financing from every corner of public and private markets—ranging from traditional bonds to private credit and even potential government participation.
The enormous scale of AI investment has raised concerns over potential overcapacity, long-term profitability, and energy consumption. Tech titans Google, Amazon, Microsoft, and Meta are expected to spend more than $400 billion on data centres in 2026, on top of over $350 billion this year.
Large tech firms, including mainstream tech companies, are increasing their borrowing for AI-related infrastructure, despite holding around $350 billion in liquid assets. Analysts estimate that the companies may produce $725 billion in operating cash FLOW by 2026. Yet, despite this strong position of liquidity, a flood of debt from such high-rated issuers is chasing new money into credit markets, indicative of a wider push towards more leverage to fuel the AI capital expenditure boom.
In recent weeks, Meta, Alphabet, and Oracle have each hit the bond market with massive offerings—some extending up to 40 years in maturity.
Meta last month secured a $27 billion private debt deal with investors, including Pimco and Blue Owl Capital, to finance its “Hyperion” data centre in Louisiana. The company followed that up with a $30 billion bond sale at the end of October—the largest corporate bond issuance since 2023.
Alphabet issued $25 billion in bonds in early November, including $17.5 billion in the U.S. and $7.5 billion in Europe. Meanwhile, Oracle sold $18 billion in bonds in September to fund infrastructure leases such as OpenAI’s “Stargate” data centre in Abilene, Texas.
Oracle’s bonds under pressure
Analysts say Oracle’s debt has been particularly hard hit. A Financial Times index tracking Oracle’s bonds issued before its latest sale has dropped nearly 5% since mid-September, compared to a 1% decline for the broader Ice Data Services index of U.S. high-grade tech debt.
Oracle now has approximately $96 billion in long-term debt, accumulated through deals to lease computing power to the makers of ChatGPT. This OpenAI collaboration is expected to generate $300 billion in revenue over five years.
However, Moody’s has cautioned that there are risks associated with Oracle’s dependence on a handful of AI firms to aid growth.
Some analysts view the recent sell-off as a healthy sign of price discovery in a new credit cycle. George Pearkes, macro strategist at Bespoke Investment Group, noted that as long as they are still pricing incremental risk, it’s a good sign.
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