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Amazon just spent more than $77 billion on AI and saw $42.4b in cash OUTFLOWS. Alphabet has now lost more than $500b in market value following its largest one-day stock decline ever. Microsoft, meanwhile, is offering voluntary buyouts to more than one-quarter of its global workforce as it attempts to contain costs and fund its own massive AI investments.

These aren’t weak, speculative startups.

Yet even they are conserving cash, finding new forms of financing and forcing investors to confront spending commitments that seem to grow after every earnings report.

Credit markets have noticed.

Eurodollar University’s Money & Macro Analysis

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https://www.bloomberg.com/news/articles/2026-10-30/tech-firms-debt-protection-costs-are-surging-on-profit-concerns?srnd=phx-industries
https://www.youtube.com/watch?v=_5zJLOI_74c
https://www.youtube.com/watch?v=hbD8XlrwN_w
https://www.youtube.com/watch?v=pJZ-ykYxN1M
https://www.youtube.com/watch?v=A-dxxTV1b_o
https://www.youtube.com/watch?v=RdpG_BJ1ym0
https://www.youtube.com/watch?v=A-dxxTV1b_o
https://www.youtube.com/watch?v=0jU4nLhCeWY
https://www.youtube.com/watch?v=tblanUooRQg
https://www.youtube.com/watch?v=wnEazOCvnSc
https://www.reuters.com/video/watch/idRW455330102026RP1/
https://www.reuters.com/video/watch/idRW074516102026RP1/
https://www.facebook.com/WorldNewsTonight/videos/tech-stocks-plunge-while-oil-companies-rake-in-huge-profit/1435869257948954/
https://www.foxnews.com/video/6402875686112

https://www.eurodollar.university
Twitter: https://twitter.com/JeffSnider_EDU

I’ll also be active on Bravais Social – a new AI-centered social network designed for professionals and knowledge workers. The platform aims to bring together a wider range of tools and functionalities tailored specifically for professional interaction, research, and knowledge exchange in one place.

You can find me here: https://bravais.social/profile/edu

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  1. 2
    @Sacto1654

    But yet, Google will still be standing because unlike almost everyone else, Google’s own _Gemini_ large language model (LLM) AI uses much less hardware resources than other LLM AI’s. That would make _Gemini_ much more viable for high-performance data centers that only need a building about the size of a 2,200 square foot house for many applications.

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