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AXIOS (Emily Peck) - Big Tech's AI spending is bigger than you think

To paraphrase Justin Timberlake in his iconic turn in the 2010 film "The Social Network," a trillion dollars isn't cool. You know what is? $3 trillion. The big picture: That's roughly how much money seven Big Tech companies, including Google, Microsoft and Nvidia, have committed to spending on AI-related infrastructure in off-balance-sheet commitments, according to a new analysis from Morgan Stanley. - And that's on top of the estimated $770 billion in debt and lease obligations that are on the balance sheets. Why it matters: The analysis finds that the total amount of spending on AI is much bigger than the already-mind-blowing headlines suggest, and — more of a red flag — it's more leveraged than is perhaps appreciated. How it…

AXIOS (Ben Berkowitz) - The business of AI is facing 4 harsh realities

Investors were confronted this past week with four difficult realities that may fundamentally change the way they think about AI the business vs. AI the technology: - AI is too expensive, say CEOs and even Microsoft itself. - It's not paying off nearly as much as companies expected, per a new Bain study . - Infrastructure demand is strong — but not as strong as the most optimistic wanted, as Broadcom showed with its "weak " forecast. - Financing that infrastructure is going to be more expensive for longer, with signs pointing to the Fed raising , not lowering, interest rates. Why it matters: Those realities challenge assumptions that powered markets to historic heights over the past few years. It's hard to justify chip or…

AXIOS (Zachary Basu) - Revenge of the AI bubble

The AI bubble debate has lurched through at least three frenzied phases in the span of three years: - Suspicion: Historic sums of capital poured into AI before anyone proved it could reliably automate work. A violent market correction felt inevitable. - Mania: Claude Code and autonomous agents made the early skepticism look outdated, fueling a corporate scramble to embed AI everywhere and maximize usage. - Reckoning: Companies discovered that AI can be extraordinary when aimed precisely — and ruinously expensive when treated as a universal productivity machine. Why it matters: The first phase doubted the technology. The second phase worshipped it. The third phase — currently gaining steam across Corporate America — questions…