
Ed Zitron
@edzitron • 156,939 subscribers
Newsletter https://t.co/D5qDgUKaNR - Better Offline Podcast - https://t.co/pUoGsuaQTw - CEO at https://t.co/5idt8AyPqr
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Here's my full interview with CNBC, covering my bear case against generative AI, OpenAI's questionable finances, AI's lack of ROI, and how all of this is a symptom of the tech industry running out of hypergrowth ideas. It's great to see the mainstream media discussing this.
Ed Zitron2,019,106 views • 3 months ago

Joined Stephanie Ruhle on MSNOW to talk about the AI bubble, how it's different to the Dot-Com Bubble, and how if AI "doesn't work out" it's everyone's problem, with retail investors making up 20% of the market's volume and having over $4.65tn in direct exposure to AI stocks.
Ed Zitron49,238 views • 5 days ago

Joined CNBC's Squawk Box to talk about how 70% of AI revenues are coming from Anthropic and OpenAI, NVIDIA's vendor financing by proxy, and how outside of unprofitable and unsustainable AI labs, there's single-digit billions of dollars of demand for AI compute and software.
Ed Zitron409,102 views • 2 months ago

One of the biggest lies of the AI bubble is that Microsoft, Google, Amazon and Meta are "growing because of AI." In reality, they're using the continued growth of their other business units to cover the meager returns from AI, and the massive waste of their trillion+ in capex.
Ed Zitron540,788 views • 3 months ago

Really appreciated Bloomberg having me on again to talk about the lie of AI - everyone's buying into the mag7 believing CapEx is going towards diverse AI demand, when all it's really doing is supporting the circular cloud revenues of two unprofitable, unsustainable AI labs.
Ed Zitron332,317 views • 2 months ago

Generative AI is a $30 billion TAM industry pretending to be a trillion-dollar one, propped up by circular financing from NVIDIA and desperation from hyperscalers like Oracle, who has mortgaged its entire future on the idea that OpenAI can pay it $75bn a year for compute.
Ed Zitron273,766 views • 3 months ago

Here's my interview with CNBC on how Zuckerberg's vacuous talking points about AGI and open source exist to distract from how Meta burned $180bn in capex (and more off-balance-sheet) to make also-ran LLMs that don't deliver an iota of the promise of "personal superintelligence."
Ed Zitron192,002 views • 2 months ago

Needed to pull out an important part of the interview. AI is often justified by comparing it to Amazon Web Services' ($57bn) or Uber's ($32bn) losses, when its costs/losses are hundreds of billions of dollars worse. There'll also be little useful infrastructure left behind.
Ed Zitron231,421 views • 4 months ago

Here’s my full segment on MS NOW with Ari Melber about becoming “the leading expert voice on the bearish case against AI,” the end of hypergrowth, and how AI’s costs and losses are magnitudes higher than those that built Amazon Web Services, and even Amazon itself.
Ed Zitron105,337 views • 2 months ago

Despite myths that there's "incredible demand for AI," 70%+ of hyperscaler AI revenues come from OpenAI and Anthropic. In FY26, $24.1bn of Microsoft's $34.33bn in AI revenue came from OpenAI - meaning that GPU rentals and AI software are single-digit billion dollar businesses.
Ed Zitron115,550 views • 2 months ago

Joined Bloomberg to talk about how AI’s ridiculous promises, demands for capital and egregious circular financing are a vulgar display of wealth inequality, OpenAI’s worrying price cuts, and how the most dangerous companies running AI models are Anthropic and OpenAI themselves.
Ed Zitron119,929 views • 2 months ago

what's important to know about this is that it was a prime time TV show in England for many years
Ed Zitron1,314,167 views • 3 years ago

Here's my interview with ABC News about OpenAI, how AI regulation needs to come from outside the industry, how (per Lina Khan ) we already have laws to deal with harmful products, and how hyperscalers' future growth is contingent on AI labs spending hundreds of billions.
Ed Zitron47,018 views • 1 month ago