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This is an iHeart podcast.
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So you've always dreamed of that state of the art home theater system. Here's the thing, if you invest well, you could get things like that. With Empower, you can get money working for you so you can go out and live a little. Isn't that why we work so hard to splurge sometimes, like on a massive high res TV or surround sound that puts you right in the action. So use Empower to help get good at money so you can be a little bad. Join their 19 million customers today@empower.com not an empower client, paid or sponsored.
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Run a business and not thinking about podcasting. Think again. More Americans listen to podcasts than ad supported streaming music from Spotify and Pandora. And as the number one podcaster, iHeart's twice as large as the next two combined. Learn how podcasting can help your business. Call 844-844-IHeart. Every case that is a cold case that has DNA right now in a backlog will be identified in our lifetime on the new podcast America's Crime Lab. Every case has a story to tell and the DNA holds the truth.
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He never thought going to get caught and I just looked at my computer screen, I was just like, ah, gotcha.
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This technology is already solving so many cases. Listen to America's Crime Lab on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts. When your car is making a strange noise, no matter what it is, you can't just pretend it's not happening.
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That's an interesting sound.
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It's like your mental health. If you're struggling and feeling overwhelmed, it's important to do something about it. It can be as simple as talk someone or just taking a deep calming breath to ground yourself. Because once you start to address the problem, you can go so much further. The Huntsman Mental Health Institute and the Ad Council have resources available for you at loveyourmindtoday.org.
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Call Zone Media. Hail Traveler. Welcome to this week's Better Offline monologue. I'm your host, Ed Zitron. Better Offline. So I'm reading this the day after Nvidia put out their August 27th earnings. Then I'm not sure anybody really knows how to react. While Nvidia beat estimates in general, they for the second quarter running missed analyst estimates on data center revenue, which is 88% of their revenue, where all the GPUs are coming in at $41.1 billion on an estimated $41.3 billion. The market also has a very unhealthy relationship with this company. Nvidia grew like 50% or something year over year, but because they didn't grow 112% or whatever year over year, people are the babies in the markets are soiling their diapers. And honestly, it's because really it's unhealthy. The unrealistic valuations that Nvidia has been given are finally causing problems. And as a reminder, Nvidia is the company that makes the specialized GPUs used in effectively all generative AI and has seen unprecedented stock growth as a result of this hype cycle. The magnificent seven stocks, Microsoft, Google, Meta, Amazon, Apple, Tesla, and of course Nvidia make up 35% of the value of the US stock market. And as a mentioned on the AI money trap, they ascend a capital expenditures of which Nvidia makes up a large chunk by. Well, their GPUs do at least accounted for more growth than all consumer spending combined. So on so many levels, Nvidia really is the AI bubble. They're the only company making a profit on AI and 42% of their revenue is from the magnificent seven companies buying their GPUs and their financial health and continued growth is a barometer for the future growth of this nonsense bullshit bubble that I'm tired of talking about, kind of, but you know, there's always something to chat about. Yet Luke Carwer of Sherwood News discovered one particularly weird part of Nvidia's earnings this week. $2.2 billion of their revenue under net other income, which turned out to be from the mark to market value of their investment in unprofitable AI compute company Core Weave. And by the way, Nvidia invested in CoreWeave has a $1.3 billion GPU compute deal with them called Project Osprey. They give them preferential rights, their GPUs and core weave. When they raise debt, they raise by using the GPUs they bought from Nvidia as collateral in the loan. And then they use that money from the from the loan to buy more GPUs. Every time I think about Core Weave, I feel a little crazy. And in simple terms, Nvidia booked the increased value of their investment in Core Weave as revenue in a quarter where they barely hit estimates. Hmm. The reason I'm telling you this is that I believe, as I have always said, that all of this ends poorly. Nvidia isn't doing anything dodgy per se by including Core Weave stock. It's just that the value of that stock in Core Weave is covering up Nvidia's slowing growth. If Core Weave's value craters in the next few months, Nvidia will have to book a massive loss in the same category. And I know some of you are going to email me and say, hey, where'd I hear Mark to market before? And the answer is Enron. And I don't think this is like Enron because Enron was doing something somewhat different. They were valuing contracts in bizarre ways. This is not exactly the same thing. Nevertheless, it's extremely weird to say, yeah, the value of my, this stock I got over here went up. Isn't that good? Yeah, that's revenue now. It's dangerous. It's dangerous stuff. And it means that on some level, Nvidia's financial health and future earnings are somewhat dependent on CoreWeave. It's all so good. I like it. It's very good. It's normal. Everything's so good, it's great, everybody's doing well. And what's even more better is that Nvidia is effectively the only Success story in AI. OpenAI and anthropic burn billions of dollars each year and have no path to any kind of sustainability. And as I've argued again and again, these products lack any kind of large scale cases other than the fact that every single media outlet has been screaming ChatGPT for the last three years and seemingly everyone just sees code generation goes oh my God. This is literally God. But I think after three years of breathless hype, the worm is kind of turning on AI. In the last week, I've been on national TV twice, once on CNN and once on the BBC. And while I'm still introduced as somebody that does not believe the hype, the fact is that more people are beginning to wonder what if? Ed's right. So from here on out, I'm going to extrapolate a little bit. I don't know the future. I'm not saying, oh, this will definitely happen. But here are some things that on my mind if I'm right. Well, let's start with something simple. OpenAI is toast. The Financial Times reported that OpenAI's corporate restructuring is, and I quote, likely to slip into next year as Microsoft refuses to budge on the terms of that of OpenAI converting from a nonprofit to a for profit. Now this is because OpenAI went to Microsoft and said, okay guys, we need to convert to a for profit or we will die. Microsoft said, okay, great, let go ahead and do that. We don't mind OpenAI said, well, what we're going to need is we're going to need you to end your exclusivity deal over our models. We're going to need to cut your revenue share, we're going to need to not share our IP and our research from with you. What do you think? And Microsoft said, go fuck yourself. Microsoft back in, I think May said that they were willing to walk away from the table. I don't fucking blame them. Now people will say, well, Microsoft wants OpenAI to go public. They'll get a bunch of money. Kind of like Core we've did for Nvidia. Right? Except Microsoft already owns all their IP and already runs all their infrastructure. Remember, OpenAI doesn't own any of their infra at all. They're trying to build that bullshit out in Abilene, Texas, of course, but I mean, that's not going to be built this year or even next at this point. So, you know, Microsoft is not understandably jazzed to take this deal and could let OpenAI die on the vine. And if OpenAI fails to convert by the end of the year, SoftBank cuts their funding round in half, meaning that by my calculations, SoftBank's part of the remaining $30 billion, which would at this point become $10 billion, would drop to $700 billion thanks to OpenAI already raising $8.3 billion from other investors. Some people are saying it's $10 billion just from SoftBank. I don't think people are good at math. I swear to God, I've been looking at this shit for years and nevertheless, things don't look good there. And again, SoftBank has been very clear that if by the end of the year OpenAI is not converted, they're cutting that round in half. Even if OpenAI and Microsoft work this out today, I don't think it's possible that they convert by the end of the year, if it's even possible at all. Nonprofits are very specific things and no one has ever done what OpenAI is trying to do. And if OpenAI cannot convert, they are dead because they can never IPO and they're too big to sell to anyone else. And thus investors would have little reason to put further capital in other than believing that OpenAI will somehow stop burning billions of dollars, something they have never proven is possible and nobody has, in fact. And fucking I hear the cost of inference is going down again. I'm going to screen it's going up. I'm getting to it later and in a future episode. And if the conversion fails, OpenAI can probably cobble together another $15 billion of funding before they shit their pants and die. And as an aside, OpenAI is currently doing an insider share sale at a $500 billion valuation with current and former employees selling $8 billion worth of stock. This is not something you do if you think you're going to go public anytime soon, if ever. I need to be clear about this, it looks bad. And outside of Nvidia, AI is failing to produce any kind of profit. And once venture capital realizes this, they'll stop investing in these giant loss ridden monstrosities. This will naturally bring things to a head at Anthropic, another company that burns billions of dollars, who will inevitably raise maybe another 1015 themselves and perhaps another roundup after that, with no path to profitability, though there is no reason, really no reason to keep throwing cash in the furnace. And I believe that Anthropic eventually gets absorbed into Amazon, like at the end of that horrible game inside. And maybe it will also flop around like a big blob in a field. And if I spoiled inside for you. It's an old game. You should have beaten it by now though, in the public markets. Eventually the AI trade will fail. Despite what the headlines may say outside of Nvidia, the Magnificent Seven has not been making money on AI and has instead been growing their already existing businesses. Which is something that reporters should know better. Yet they're claiming that any kind of growth proves that AI bets are paying off. I'm not singling you out yet, but you gotta fucking stop. Once other revenue sources stop papering over the flimsy or non existent revenue, and I mean revenue, not profit from AI, the street will realize and they will panic. But let's get serious. If I'm right, we're all bearing witness to one of the most catastrophic failures in the history of the markets, journalism and society itself. Generative AI was sold as a myth. It's been blatantly obvious from the very beginning that large language models do not have mass market use cases. And no coding LLMs do not goddamn count. They don't. They don't produce the kind of revenues. And guess what? The coding LLMs are so expensive to run that if you took away the subsidies they would be economically impossible. Stop arguing with me on this point. I will crush you yet. Many, many, many, many, many journalists choose to blindly repeat that OpenAI and other companies are building powerful AI that would replace human workers, choosing to deliberately ignore the piss poor outcomes from using these products and I don't know, failing to Define what powerful means, because powerful does not seem to mean goddamn anything.
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A foot washed up, a shoe with some bones in it. They had no idea who it was.
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Most everything was burned up pretty good from the fire, that not a whole lot was salvageable. These are the coldest of cold cases. But everything is about to change. Every case that is a cold case that has DNA right now in a backlog will be identified in our lifetime. A small lab in Texas is cracking the code on DNA using new scientific tools. They're finding clues in evidence so tiny you might just miss it.
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He never thought he was going to get caught. And I just looked at my computer screen. I was just like, ah, gotcha.
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On America's Crime Lab, we'll learn about victims and survivors, and you'll meet the team behind the scenes at othram, the Houston lab that takes on the most hopeless cases to finally solve the unsolvable. Listen to America's Crime Lab on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts. I'm Dr. Joy Hardin Bradford, and in session 421 of Therapy for Black Girls, I sit down with Dr. Afia and Billy Shaka to explore how our hair connects to our identity, mental health, and the ways we heal. Because I think hair is a complex language system, right? In terms of it can tell how old you are, your marital status, where you're from, your spiritual beliefs. But I think with social media, there's like a hyper fixation and observation of our hair, right? That this is sometimes the first thing someone sees when we make a post or a reel is how our hair is styled. We talk about the important role hairstylists play in our communities, the pressure to always look put together and how breaking up with perfection can actually free us. Plus, if you're someone who gets anxious about flying, don't miss session 418 with Dr. Angela Neal Barnett, where we dive into managing flight anxiety. Listen to therapy for black Girls on the iHeartRadio app Apple Podcasts or wherever you get your podcast. Hi everyone, it's Janae AKA Cheekies from Cheekies and Chill Podcast, and I'm launching an all new mini podcast series called Sincerely Janae. Sure, I'm a singer, author, businesswoman and podcaster, but at the end of the day, I am human and that's why I'm sharing my ups and downs with you guys. Hi guys. I was sitting here recording episodes of Dear Cheekies and Cheekies and Chill, and I just had to take a time out and purge my thoughts and feelings here on Sincerely Janae because I've been so emotional lately, you guys. Whether I'm in my feels, I've just had a breakthrough with my therapist, or I've just had a really deep conversation with my siblings, or I'm in glam getting ready for an award show, I'm sharing my most intimate thoughts with you on the podcast. You guys know I always keep it real with you guys, but this time I'm taking it to the next level. Listen to Cheekies and chill on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
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Journalists had an opportunity to tell the truth, to look at the products and say, hey, I don't really get why this is so amazing or powerful. Exactly. To question the valuations of companies that make little or no revenue while burning hundreds of millions or billions of dollars to interrogate the outright lies of Sam Altman and Wario Dario Amadei. Instead, they choose to fuel a fantastical fire, repeating the promises of people like Sam Altman in the hopes they'll be the first to be able to parrot his next lie or talk to his clammy ass about nothing for three hours, I worry that things are so much worse than we know. I have an inkling that the price of serving GPU compute, the underlying infrastructure of all generative AI is horribly unprofitable. And if you're a person who's going to say, oh, it's only a few dollars an hour, hey, what if they're selling that few dollars an hour at a loss? We know now that the cost of inference is increasing, and that's coming up in future episodes. But it was in the GPT5.1, and thus the costs of AI services, which were already unprofitable, is increasing too. Yet by constantly accepting a myth that AI would get more powerful, that these companies would somehow work out how to stop burning way more money than they make, that big tech would not simply lie about what was possible, journalism peddled outright lies and helped sustain a hype cycle based on little more than believing the last smart sounding guy you ran into or what that guy told someone you kind of respect. You can dress this up by being an optimist. You can dress this up by pretending that you thought they would extrapolate from here, that these companies would just work it out, that they were just like Uber, that they were just like Amazon web Services, that they would innovate and contribute so much the economy based on the things that they told you that they wanted you to repeat so their investors would give them more money. You can pretend that all of this made sense at any goddamn time, but you know, you either half assed it or you're lying to yourself at this point. And I understand also that there are some people writing about this who maybe don't want to write such fantastical things. They feel pressured or they're scared. And I actually understand the fear that when everyone around you is pissed their pants and they're saying, why haven't you pissed your pants? Perhaps you wouldn't want to do it. But if everyone's screaming at you, what are you meant to do? If your editors are saying write a positive AI story. If your editors are saying that 13% of people in the Stanford, there was this, Sorry, I'm actually going to reframe this point and not retake it because this is important. There was a study that went out that said that 13%, I think there's a 13% drop in jobs that were affected by AI and that this was proof that AI was taking these jobs. When you look at this goddamn study, you can see that it doesn't actually prove that AI was involved and says that, yeah, 13% of career paths and jobs that were somehow being replaced by AI were dropping and as a result AI was involved. It seems like a fumbled point, but what he actually just said was that There was a 13% drop in certain employment and we'd like AI to be involved. So on some level, I realize I'm ranting, I realize I'm going a little bit off script. I'm just fucking tired of this. I'm tired because even now, even today, even as you look at these companies burning all this money, even as you look at the fact that there are no real returns here, and when you look at the products, you can see they don't really do anything super futuristic. Even now, there are people who still talk to me and repeatedly say shit like, well, what if you're wrong? What if you're wrong about this? Well, Ed, what if you turn around and then the computer wakes up and says, I love you, Ed. I love you? Nothing happens because that won't happen. And we're living a lie. And we built our economy on a lie. And it's scary. It's scary because the economy is built on data center growth. And it's scary because so much of journalism just missed this. It just missed it. And I myself have done very well as a result of this, because I've been elucidating hundreds of thousands of words at a time, hours of podcasts at a time. So I'm doing fine, I guess. I don't have any stock positions in this crap. I'm not investing, I'm not fiscally profiting off of this. But my career's doing well, I guess. But on some level, we've seen that at the highest levels of journalism, there are people who are willing to peddle bullshit. And as this falls apart, as this collapses, there must be a point at which people are held accountable for lying, because it is lying. And I believe the majority of journalists are not trying to lie. I don't think that they are deliberately doing this. I think they are weasel wording around stuff so that they don't stand out from their peers and get in trouble and face peer pressure for not falling behind the AI bubble cycle. Except everyone's going to look fucking stupid if this collapses. If I'm right, everyone's going to look really silly. And you can feel however you feel about me. This isn't about anyone specific other than the very obvious, hard, forky folks. But if you're a journalist listening, this probably isn't about you. What it is about, however, is the truth. And it is about the fact that everyone can say something that's wrong. And we, as people that report the truth, ostensibly, must look at this when it collapses, and I really do think it will. And we must take an account of what has been said and how it has been said, of how many affordances were given to people like Sam Altman and Wario Amadei, of how many people said, wow, AI is going to get more powerful. We must take an account of why it was said it would get more powerful, and if there was no reason to, other than I think it is number is going up that these people keep telling me they have met smart people in the valley with tears in their eyes, big, strong men that told them that AGI was coming. If that is the flimsy fucking reasoning we have used to send our economy into the toilet, which is what I fear. We should all be goddamn ashamed of ourselves. I'm not. I'm not ashamed because I've admitted what I am from the very goddamn beginning, which is just a guy with a microphone and a fucking blog. And I'm doing my best out here to tell the truth. If I am wrong, if I am truly wrong, if I got all of this wrong and AGI comes and the computer eats me whole and shits me out like Kirby, and then I will eat crow and I will tell you why I'm wrong in detail. Do you think other people will do the same when the bubble bursts? Do you think that these people will hold themselves accountable? Or do you think they will sweep this under the fucking rug? I think they will. And I don't believe listeners should let them. And I will not be letting them either. This isn't going to be an industry takedown, nor will one be coming in the future. But I think journalism needs to do a great deal better. And my frustration is that in the end of all of this, the people that will get hurt will be regular people. The environmental destruction cannot be unwritten. The theft cannot be undone. No class action suit can make up for the art directors, the translators, the transcribers who are losing their jobs to this right now. And who will. Even if these things become too expensive to actually run at scale from here on in, which is very possible at some point, the price pressure on these careers as they come back will match the price of the AI, not the price of the jobs that they had before. The labor destruction has already happened on a much smaller level than they want you to believe it, but it has happened. But fundamentally, the AI bubble has damaged the concept of the truth and has damaged the concept of what reporting is meant to do, because an alarming amount of reporting has been there to prove the AI bubble was real rather than prove what was actually real. To actually hold the accountable powerful. To actually make sure that the truth was being said. Even if the truth was icky, even if the truth was wow, Tens of billions of dollars each quarter are going into GPUs for products that only lose money, for products that don't really resemble actual labor and thus can never do any of the things that people are promising. And I like to believe that most people here mean well, that they've just been going on with the market consensus. And I can understand that when everyone's honking in the same way. Do you want to oink? Do you want to stand out at a time when journalists have a tough time keeping their jobs as it is. I blame the people on the top. I blame the people with the largest megaphones. I blame the people who are constantly talking about this as the future and the people that have derision for those who would dare critique the powerful. And if I'm right, really, if I'm right, there must be some degree of accountability within journalism. There has to be an apology to readers and listeners and viewers. There won't be. There never will be. There never is. But something has to change once the bubble bursts. And if I'm. Again, if I'm wrong, I'll explain why I don't do this to be right. I do it because I enjoy it. And I'm very grateful you give me your time. This is meant to be a regular five to 10 minute monologue and it's going to go over 20 minutes. But I'm frustrated, as you can tell. I'm furious. I'm furious because the markets will take a nasty shit after this. And once the markets realize that big tech doesn't have any other ideas and the one idea they had that they've been wanking off about for years was nothing, was a myth that burned millions or billions of dollars, the markets are not going to trust the tech industry anymore. They're not going to trust them as the ultimate growth vehicles. What do you think that does to startup funding? What do you think that does to jobs in tech? Nothing good. Nothing good at all. I want a better world. And I think you do too. I'm very grateful for your time. It's been a little different, I realize. This week, Next week we'll have Steve from Gamers Nexus who will be talking about the GPU black market in China and of course the things that Bloomberg has done to pull down that video. And then after that, I'm gonna have a three part episode about how to argue with AI boosters. Because it's about time we take the war to these fucking people. Thank you for listening.
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Every case that is a cold case that has DNA right now in a backlog will be identified in our lifetime on the new podcast, America's Crime Lab. Every case has a story to tell and the DNA holds the truth.
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He never thought he was going to get caught. And I just looked at my computer screen, I was just like, ah, gotcha.
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This technology's already solving so many cases. Listen to America's Crime Lab on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts. In sitcoms, when someone has a problem, they just blurt it out and move on. Well, I lost my job and my parakeet is missing. How was your day? But the real world is different. Managing life's challenges can be overwhelming. So what do we do? We get support. The Huntsman Mental Health Institute and the Ad Council have mental health resources available for you at loveyourmindtoday.org that's loveyourmindtoday.org See how much further you can go when you take care of your mental health. Have you ever wished for a change but weren't sure how to make it? Maybe you felt stuck in a job, a place, or even a relationship. I'm Emily Tish Sussman and on she Pivots I dive into the inspiring pivots of women who have taken big leaps in their lives and careers. I'm Gretchen Whitmer. Jodie Sweetie, Monica Padme Elaine Welteroth. Learn how to get comfortable pivoting because your life is going to be full of them. Listen to these women and more on she Pivots now on the iHeartRadio app, Apple Podcasts or wherever you get your podcasts. The U.S. open is here. And on my podcast, Good Game with Sarah Spain, I'm breaking down the players, the predictions, the pressure and of course, the honey deuces, the signature cocktail of the U.S. open. The U.S. open has gotten to be a very wonderfully experiential sporting event. To hear this and more, listen to Good Game with Sarah Spain, an iHeart women's sports production in partnership with Deep Blue Sports and Entertainment on the iHeartRadio app, Apple Podcasts or wherever you get your podcasts. Brought to you by Novartis, founding partner of iHeart Women's Sports Network. This is an iHeart podcast.
Host: Ed Zitron
Date: August 29, 2025
Podcast by: Cool Zone Media and iHeartPodcasts
In this incisive solo episode, host Ed Zitron delivers a passionate and critical examination of the current state of the AI-tech industry, focusing on the “AI bubble,” the unhealthy financial ecosystem surrounding Nvidia and its partners, and the complicity of mainstream journalism in perpetuating industry myths. Zitron explores what could happen if his longstanding skepticism about AI’s runaway hype and economic sustainability proves correct, highlighting the far-reaching repercussions for markets, workers, and the fundamental trust in tech narratives.
Nvidia’s Recent Earnings: Zitron breaks down Nvidia’s August 27th earnings. While the company beat general estimates, it missed critical analyst predictions for data center revenue (41.1B reported vs. 41.3B expected), which constitutes 88% of their total revenue.
Market Reaction & Unrealistic Valuations: He critiques Wall Street’s overreaction, arguing that Nvidia’s massive year-over-year growth is still deemed insufficient due to completely unrealistic investor expectations.
Nvidia’s Dominant Position in AI: Nvidia is described as the principal profiteer in the AI sector, with 42% of revenue coming from the “Magnificent Seven” (Microsoft, Google, Meta, Amazon, Apple, Tesla, Nvidia itself).
CoreWeave Deal and Questionable Accounting: Zitron highlights Nvidia’s $2.2 billion revenue boost, which resulted from marking up its CoreWeave investment—an unprofitable AI compute company that uses Nvidia’s own GPUs as loan collateral to buy more GPUs.
Potential Risks: If CoreWeave’s value drops, Nvidia could face massive losses, exposing the frailty underlying their growth story.
OpenAI’s Corporate Crisis: OpenAI’s attempt to convert from a non-profit to a for-profit is gridlocked because Microsoft (their main benefactor & partner) refuses to adjust key terms.
Funding at Risk: If conversion fails, a major SoftBank investment round could be cut in half, threatening OpenAI’s ability to survive. Even a successful conversion may not come before year’s end or at all.
Structural Unsustainability: Neither OpenAI nor Anthropic (another leading AI company) can demonstrate a path to profitability. Both are said to be burning billions annually with no viable business model, relying instead on continual, unsustainable VC funding.
The “AI Trade” Fallacy: The real AI profits are isolated to Nvidia. Big Tech’s recent earnings growth is coming from traditional business lines, not AI, despite what media headlines suggest.
Generative AI Was Oversold: Zitron calls the AI boom “one of the most catastrophic failures in the history of the markets, journalism and society itself.”
Lack of Real Use Cases: He asserts that, after three years of hype, few practical, sustainable use cases have materialized—especially outside subsidized code generation.
Failure to Question or Investigate: Zitron holds much of mainstream tech journalism responsible for propping up false narratives about AI, either through active participation in the hype or passive, fearful groupthink.
Personal Resistance: He acknowledges that being critical isn’t easy in an environment where positive hype is demanded and pressure to conform is intense.
Accounts of Dubious Studies: He critiques studies and media reporting that confuse or misattribute cause and effect in job losses allegedly due to AI, noting a specific example where AI was “involved” because jobs fell, not because AI actively replaced them.
Damaged Trust and Lost Jobs: The AI bubble has already led to real job losses in fields like art direction, translation, and transcription. Even if AI collapses, wages and expectations in these fields may never recover.
Irreparable Effects: Environmental costs and lost livelihoods can’t be undone, and even legal remedies won’t restore what was lost.
Erosion of Truth in Reporting: Repeatedly lauding unprofitable, speculative AI businesses has harmed the reputation and core function of journalism.
Accountability in Journalism: Zitron insists that, should the bubble burst, members of the press must account for the narratives they enabled.
Personal Responsibility: He pledges to admit if he is wrong and calls on others to do likewise—instead of sweeping mistakes under the rug.
Looking Forward: The real victims of the cycle will be everyday workers—while platforms and investors move on. He implores journalism to remember its purpose: accountability, truth, and serving the public good.
On Market Insanity:
“The market also has a very unhealthy relationship with this company. Nvidia grew like 50% or something year over year, but because they didn’t grow 112% or whatever year over year, people are...soiling their diapers.” (02:45)
On Hype vs. Reality:
“Once other revenue sources stop papering over the flimsy or non-existent revenue, and I mean revenue, not profit from AI, the street will realize and they will panic.” (10:30)
On Journalist Cowardice:
“If everyone’s screaming at you, what are you meant to do? If your editors are saying write a positive AI story...I realize I’m ranting...I’m just fucking tired of this.” (18:30)
On Profound Disappointment:
“Even now, there are people who still talk to me and repeatedly say shit like, well, what if you’re wrong? ... Nothing happens because that won’t happen. And we’re living a lie. And we built our economy on a lie. And it’s scary.” (19:40)
On Personal Integrity:
“I’m not ashamed because I’ve admitted what I am from the very goddamn beginning, which is just a guy with a microphone and a fucking blog. And I’m doing my best out here to tell the truth.” (25:00)
Zitron’s monologue is a fierce, often expletive-laden reckoning with the failings of the tech industry’s AI hype cycle and those institutions that have enabled it. He demands honesty and accountability, warning that the potential collapse of the AI bubble will have serious social and economic consequences. His central message: the public, tech workers, and journalists themselves must reckon with uncomfortable realities and refuse to be complicit in yet another cycle of over-promised, under-delivered tech revolution.
Ed previews next week’s episode featuring Steve from Gamers Nexus, focusing on the GPU black market in China and media coverage suppression strategies, followed by a three-part discussion on arguing with AI boosters.
Useful For:
Anyone seeking a deep, critical, and unvarnished perspective on the present and future of the tech/AI industry, and the journalistic practices surrounding it.