Better Offline - Monologue: Meta Admits It Bought Too Many GPUs
Episode Date: July 3, 2026In this week's Better Offline monologue, Ed Zitron runs you through Meta’s plans to sell its AI compute, and how this is an admission to the grim fact that there isn’t really a reason for ...anyone to be building all these AI data centers.Ed Zitron on CNBC: Generative AI's Business Model Does Not Work, And Tech Is Out Of Hypergrowth Ideashttps://www.reddit.com/r/BetterOffline/comments/1ulm3a6/ed_zitron_on_cnbc_generative_ais_business_model/ Bloomberg - Meta Is Planning a Cloud Business to Sell AI Computing Power https://www.bloomberg.com/news/articles/2026-07-01/meta-is-building-a-cloud-business-to-sell-excess-ai-compute The Information - Nvidia Says It Will Take a Cut of Some Customers’ Cloud Revenueshttps://www.theinformation.com/articles/nvidia-says-will-take-cut-customers-cloud-revenues?rc=kz8jh3Please subscribe to my premium newsletter - save $10 off a year of my premium newsletter: https://edzitronswheresyouredatghostio.outpost.pub/public/promo-subscription/gzqwkv54e1 YOU CAN NOW BUY BETTER OFFLINE MERCH! Go to https://cottonbureau.com/people/better-offline and use code FREE99 for free shipping on orders of $99 or more. --- LINKS: https://www.tinyurl.com/betterofflinelinks Newsletter: https://www.wheresyoured.at/ Reddit: https://www.reddit.com/r/BetterOffline/ Discord: chat.wheresyoured.at Ed's Socials: https://twitter.com/edzitron https://www.instagram.com/edzitron https://bsky.app/profile/edzitron.com https://www.threads.net/@edzitron Email Me: ez@betteroffline.comSee omnystudio.com/listener for privacy information.
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Greetings, greetings, hello, and salutations.
I'm Ed Zitron, and this is your Better Offline monologue for the week.
Better Offline.
Earlier this week, Bloomberg reported, and I quote, that META is developing plans for a cloud
infrastructure business that will sell access to its AI computing power and models.
A few weeks after CEO Mark Zuckerberg said it its annual shareholders meeting that he
thought that META had a use for its compute, but it could set it if it didn't.
I genuinely love that he said that.
It's like, I think I spent $100 billion for a good reason.
Don't know yet, though.
And there's no other sensible way, at least, in terms of it.
this news other than that Meta is admitting that it overbuilt its GPU capacity. After five different
reorganizations of its AI team, a $14 billion acquisition of scale AI for no imaginable reason,
multiple versions of their loathsome pervert glasses, and celebrity-faced AI chatbots that have led
an old man with dementia to his death. I'm not kidding, I'll link you to that great Jeff Horwitz
piece from Reuters. In reality, Meta never had any reason to get into AI, other than the fact
that Zuckerberg is a directionless oath that can never be fired from the company, surrounded by
loathsome yes men like Boz, Adam Merski and Javier Olyvan, who cater to his every whim and say yes to
any idea no matter how goddamn stupid they are. Every time I hear from somebody at Meta, they vibrate
with sadness and despair lost in a company that exists as a large social experiment to try and
conjure up more ad revenue for a platform designed to engage far more than build any meaningful
connections. AI bulls and the recently concussed argue that this is actually a smart move,
because now Meta can monetize its AI CapEx, the kind of ridiculous thing you say when you,
like Big Tech, are fundamentally out of ideas and horribly desperate. Meta is doing this because
meta has no idea what to do other than to try something, anything, to make some money out
of these goddamn GPUs. The real question is who Meta will sell to and how much it will sell.
Epoch estimates that it has around 1.61 gigawatts of total capacity as of the fourth quarter of 2025,
and if that's the case, it's invariable that it gets snapped up by that Anthropic or Open AI.
And by the way, when that happens, we're at the top, we're done.
Wrap this bad boy up.
And if it doesn't do that, I'm not sure what the demand looks like outside of those two companies,
so I estimate take up anywhere from 70% to 85% of all global AI compute.
Meanwhile, the information reports that Nvidia is offering, and I quote,
financial backstops to young cloud providers that rent its GPUs in exchange for a share of their
revenues, a euphemism for literally paying their customers to buy their stuff.
This is a direct admission that Nvidia doesn't see there's a diverse or rigorous demand for
AI compute, and that the only way that these horrible little Neo-clouds can never run a business
renting out GPUs is by letting them latch onto the side of Nvidia like a parasite.
It's blatantly obvious that demand doesn't exist at scale for AI compute,
and that the only real customers are too.
bulbous fail sons, anthropic and open AI, that lose tens of billions of dollars a year with
no path to profitability. This is not a real industry, but a reflection of the desperation and
directionlessness of a tech industry that's run out of hypergrowth ideas after giving up on
investing at the seed stage and chasing out those who actually build real things.
This industry deserves the punishment that's coming for it. The debt-fueled hyperscaler
CAPEX no IT loads refused cash dump has pumped a global stock market and left the world's
invested in an impossible payoff of trillions of dollars of revenue, well, that will never exist.
Everybody involved in inflating this bubble should be ashamed of themselves.
Everybody who refused to heed my warnings in favor of the mythologies of Amazon Web Services
and Uber should know that they are partly to blame for the chaos that will follow.
This was blatantly obvious years ago. It was obvious before I started this show. It's been so
obvious for so long. I've got better at this. I've got more nuanced than my arguments. But my
arguments have stayed the same. There is no business model in generative AI. There is no way of serving
inference at scale in a way that is consistently profitable. And people will argue about this and people
will have the little natterings on their various blogs. I won't read them. I've got stuff to do.
Sorry. But the truth is that everything I'm saying has been coming true. I've been trying to warn people.
All of you, I know I'm speaking to an audience that kind of gets it already. All of you have been
sticking with me and I love it. I was just on CNBC. Did a great.
hit there, I'll link to it in the notes.
Hate to link to Twitter, but it's one of the only places I can actually upload it without a good DMCA'd.
But I think you're really going to like that interview.
And the fact that the mainstream is finally opening up to these stories is a sign that we're wrapping this up.
And they're trying to kind of layer on the news and layer on the stories that say,
hey, we didn't fall behind this, we're on this.
And good on them for doing it.
It will be a little too late.
In fact, I think all of the kind of bubble discussion is too little too late.
And now clammy scammy, clammy, clammythar, clamuble, clamantha, we love clammy, we don't like clemantha.
He wants to give 5% of open AI to the US government, I assume in exchange for money.
And I know some of you are going to say that's a line up to a bailout.
No, it isn't.
It'll require congressional approval.
And this is at a time when AI is one of the least popular things in the world with voters.
And also, no one wants to give $40 billion to goddamn Sam Altman.
all signs to this
all signs point to this
I mean
blowing up sometime I think
in the next six months
and I feel like I've been saying that
for about six months
but we're seeing the desperation start
and we're hearing these conversations
happen
I think things are going to get weird
things are going to get very weird
and next week we've got a great
joint episode of the trash future crew
talking about Masayoshi's
Goosefield shareholder speech
and the collapse of the AI hype cycle
you're going to love it
I promise thanks for listening
Zitron out.
This is an I-Heart podcast.
Guaranteed human.
