Better Offline - Monologue: AI Hits A Wall
Episode Date: August 21, 2026In this week's Better Offline monologue, Ed Zitron runs through how Anthropic and OpenAI’s revenue growth is decelerating, and how OpenAI’s pause on model development and collapsing econom...ics create the very real possibility it could collapse.EDITOR’s NOTE: I incorrectly say at the beginning of this that NVIDIA’s earnings were this week. They’re next week. Sorry!Newsletter: What If OpenAI Dies? https://www.wheresyoured.at/what-happens-if-openai-dies/ Save $10 off a year of my premium newsletter: https://edzitronswheresyouredatghostio.outpost.pub/public/promo-subscription/gzqwkv54e1 - I’d be so grateful! 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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Hello and welcome to this week's Better Offline monologue. I'm your host, Ed Zedron.
It's going to be a long week after a long month, after a long few years, so I'm recording this monologue a little earlier than you.
usual, on Tuesday to be specific, which means I don't have thoughts on Nvidia's earnings and won't
have them unless, of course, things go really haywire. Now, I've said that, that sounds possible,
but I think it's likely the no IT loads refused cash dump will continue at least for another
quarter there. In any case, we have a far more pressing problem, the deterioration of OpenAI
and the AI industry hitting a wall. Last week, OpenAI completed the $7 billion employee share sale,
but unlike most employee share sales, OpenAI used its own cash to buy its employee stock
at the previously raised valuation of $865 billion.
A few days later, both Chief Operating Officer and former CFO Brad Lightcap
and Chief Revenue Officer Denise Dresser left the company.
Dresser had been at the company less than a year and likely walked away from tens of millions
of dollars' worth of unvested OpenAI shares.
In April, she said that she had, and I quote CNBC,
never seen this level of conviction spread so quickly and consistently within the enterprise industry,
though it appears that said conviction didn't spread far enough to keep her at a company
that definitely plans to go public sometime in 27, unless, of course, it's not quite so definite
anymore. Anthropic has dramatically accelerated its plans to go public, with Bloomberg reporting
that it is aiming for a September or October listing, though we're yet to see any reporting
on its actual S-1. Now, this is a problem for Open AI in many ways, but
let's get through all the news first. At the very end of last week, Bloomberg also reported
that Open AI was on track to hit $40 billion in annualized revenue, $7 billion in annualized
run rate less than Anthropica claimed it hit in May. And yes, you heard that right. I said
on track, which does not mean it hit that number, and no, it did not define run rate, because
Bloomberg neglected to do so either. And, well, who needs definitions when you're just talking about
bullshit, right? It could mean the last four weeks multiplied by 12 or 13 or really anything. We
truly don't know. Everyone seems to use a goddamn different definition of runway. Anyway, then on
Monday, Bloomberg reported that Anthropic had hit $65 billion in annualized runway, which had defined,
I shit you not, as a metric that projects full year revenue from a shorter period, with no
further explanation. Who fucking cares, right? It's only about what's ostensibly meant to be the
largest AI company in the world with $300 billion worth of commitments. No need to actually
know what you're talking about. No need to say anything further about a market moving number.
No need to do that. Why fucking bother, right? Just put the story in the bag, the hype in the bag,
check please. We wouldn't really say that at a grocery store. Anyway, in other words,
Open AI had taken four months to not quite catch up with Anthropic, only for Anthropic
to quickly drop that the race wasn't even close.
Regardless, AI boosters immediately got a little anxious, because many had been convinced by anonymous sources and questionable data blocks like Yippit, that annualized run rates were somewhere between $70 billion and $100 billion.
I guess the voices in their heads weren't reliable.
Did they try sacrificing an animal?
I don't know what these fucking people do.
Isn't read, it's just listening to the voices that say, sir, yes, $100 billion annualized by end of year.
Only the worthy will be able to invest in this IPO, yes.
Anyway, said anxiety is spread across the AI industry, with even the most mold, poisoned
boosters now fretting that both Anthropic and OpenAI's revenues had slowed down, mostly because
they have.
I'll also add that these numbers, which come from the end of July, are still from the era
of token maxing, where companies were encouraging employees to burn as many tokens as possible
with no regard for costs, meaning that growth will invariably slow from here as enterprises
cap spending as Walmart and Stripe and Moldl others have done.
A day after Anthropic crept in its coffee, OpenAI made the incredible decision too, and I quote,
pause some frontier reinforcement learning training to ensure it can meet the appropriate alignment.
A complex way of saying that OpenAI will stop training its latest models for at least the next few weeks to increase safety,
connected to the recent incident where an OpenAI model in an incorrectly configured server was able to hack Hugging Face,
which is less of a case of it going rogue and more of a case of OpenAI being bad at its job.
If you tell software to do something, it's going to try and do it.
Oh, it isn't lined right. You program the software poorly. You're wrong here. This isn't the magic of AI. This is the tragic of OpenAI.
It's unclear what OpenAI hoped to achieve here, rather than vaguely saying, we care about safety. But from everything I'm seeing on social media and in my inbox, everybody's interpreting this as Open AI has stopped training new models, which is also the truth, albeit only they claim for two weeks. Maybe, if you believe them.
This is a really fucking stupid idea, by the way, or at least was a really fucking stupid idea
to announce at a time when everybody has noticed that OpenAI's revenue growth has decelerated.
New models and features are effectively the only way for these companies to keep growing,
and Open AI is far behind Anthropic, which makes the idea of not doing anything new or much new,
all the more questionable.
Open AI will, of course, try and spin this as its new models having incredible new abilities it must prepare for.
Oh, God, are you going to see...
Look at anyone's saying.
that and you just look at them, you can see the three-finger thing from Inglorious Bastards.
Like, yep, there's someone who doesn't give a shit. There's someone who will scoff down the
marketing slot when fed to them. Mmm, yummy. Anyway, this is all very rumint, but the word on the
street is that this is open AI hitting a wall and running out of compute to serve inference
and train new models, with one person suggesting that Anthropic could follow suit.
This does make sense for Anthropic who got so desperate that it's renting capacity from Elon Musk's
SpaceX and potentially even meta, but I'm surprised to hear it about OpenAI, who boasted earlier
in the year about its massive compute advantage over its competitors. And again, it's also very
possible that compute capacity is just not coming online very fast. Sources at Oracle tell me that
Stargay Abilene, which was meant to be finished in June, or maybe the beginning of the year,
or maybe the end of the year, it's really unclear at this point, only has three out of eight
buildings fully operational, with a fourth in some sort of strange limbo where it's sort of ready
but not quite, isn't clear if it's generating any money, and you need money to pay for goods and services,
and it's called revenue. Not sure any of these companies fully understand business, but, anyway,
this could also be a way for Open AI to save money. By the information, OpenAI spent $8.6 billion
on research and development, so model training, in the first quarter of 2026, a number that likely
increased in Q2 with the launch of its GPT5.6 sole lunar and cyber models. And also, all the computer was spending
accidentally hacking, hugging face.
I swear that's like a felony, right?
Like, we don't really, we don't really have, like, laws anymore, I realize, but...
Anyway.
In any case, if Anthropic and Open AI have truly hit the limits of compute, there's very
little to can accelerate it coming online, as every AI data centers the equivalent of cramming
an entire city's power, usually spread over a billion or billions or more square feet,
into around a million square feet, built in the space of two years with constantly increasing costs
around memory, specialist talents, specialist materials, and the oil necessary for the gas turbines
and the trucks to bring all this shit to the plot of land. And all of this is happening as revenue
growth decelerates. If Open AI and Anthropic can't or won't train new models, that means
they'll effectively become model wrapper companies, building products on top of Claude or GPT models
in the hopes that they can juice further revenue growth, which is not going to help very much,
given that basically every company that builds businesses on top of their models is both unprofitable
and can barely reach 90 million a month in revenue, which wouldn't even cover a day's worth of inference if it were profitable, which it would not be.
I'll add that if Anthropic beats Open AI to IPO, it's unlikely OpenAI will be able to float,
or at least have anything approaching an IPO that anyone would actually want to invest in.
While both are unprofitable, horribly so, Anthropic has the revenue advantage and slightly better unit economic
which is all it needs to make Sam Altman's public offering untenable.
I think it's time to start having a reasonable discussion about the potential collapse of open AI,
and the ramifications for counterparties like Google, Microsoft, Amazon, Corweave, Cerebrus,
and, of course, Oracle, and all associated venture capitalists,
in particular Thrive, who has billions of dollars tied up in this company,
and of course SoftBank, which needs that liquidity, otherwise, well, they're triple-fugged.
If you're a journalist listening to this, you need to start seriously thinking about
and writing about this.
Because the current state of this company
suggests that it has few viable paths
to avoid perdition.
It can't raise much more money.
90% of its lost funding round
came from Nvidia, Amazon and SoftBank.
None of which are really going to do a return trip.
Softbank literally can't afford it.
Venture capitalists have never offered
more than $12 billion of any open AI round.
And even a We Are the World Telethon
isn't going to be enough
to keep this pig inflated.
What a disgusting way of referring to a company.
Anyway, continuing.
There is not really a viable path for open AI here.
I don't know what they do, but it's kind of looking like they're going to die,
as I wrote in my newsletter this week, and I'll put a link to that in the notes.
Either way, I'm off on a flight tomorrow.
It's a crazy week.
You'll know why soon.
It's all good stuff.
I love you all.
Thank you for listening.
I'll be back next week with the wonderful Cal Newport.
Catch you then.
If your bookshelf and your for-you page are equally important to your personality, welcome home.
Pro Society is a weekly podcast that's part book club, part group chat for anyone who thinks Pride and Prejudice and Love Island deserve the same level of discourse.
Each week, we're connecting the dots between books, the internet, and pop culture with your favorite writers, book talk creators, and plenty of overthought opinions.
I'm obsessed. I'm obsessed.
Listen to Pro Society on the IHeart Radio app, Apple Podcasts, or wherever you get your podcasts.
On the new podcast, Solita, we share the messy reality of true.
traveling alone as a woman. I can wait four hours for the next bus or this random dude is offering
me a ride on his motorcycle. I chose option B. I'm Julie Pinero and I travel by myself because it's a
rare space where I can say yes without asking anyone else first. I'm on a mission to reclaim the
word Solita, trading the pity for possibility. Listen to Solita on the Iheart radio app, Apple Podcasts,
or wherever you get your podcasts. I'm Nick Tuturo. You brought you.
You probably know me from NYPD Blue, the longest yard, or Spike Lease Black Klansman.
And on my new podcast, Delivering Happiness with Nick Totoro, I deliver pizza to a new guest.
I've shared a slice with everyone from Seth Rollins.
What are you doing, my belt?
To Bill Burr.
I don't think I've ever met somebody so exactly out of their mind as I am.
And now, we even have more great guests coming up, including the great John Tuturo.
It's called Happiness, Delivering Happiness.
And many, many more.
Open your free High Heart Radio app.
Search Delivering Happiness with Nick Tuttle.
And listen now.
I'm Hoda Kotbby, host of the podcast, Joy 101 with Hoda Kotb.
You know, I'm always searching for inspiration and useful tools to maximize joy.
Like when my friend Henry Winkler offered advice to aspiring actors and really anybody hoping to stand out.
You're not hired just to fill time and space.
You're hired to fill the space with you.
Listen to Joy 101 with Hoda Kotby on the I Heart Radio.
app, Apple Podcasts, or wherever you get your podcasts.
This is an IHeart podcast.
Guaranteed Human.
