AI Is Worse Than The Dot Com Bubble: Part Four

Summary

Better Offline – "AI Is Worse Than The Dot Com Bubble: Part Four" (Jan 30, 2026)

Podcast: Better Offline
Host: Ed Zitron (Cool Zone Media & iHeartPodcasts)
Episode Theme: A brutally honest and anxious analysis of why the artificial intelligence bubble is not just echoing, but likely to exceed in severity and destructiveness, the infamous dot-com bubble.

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Episode Overview

In this high-stakes conclusion to "Bubble Week" and its four-part miniseries on the dot-com bubble, tech journalist and industry veteran Ed Zitron lays out his case for why the ongoing AI investment craze is not only a repeat of past bubbles, but a far more dangerous and potentially catastrophic one. Zitron weaves together observations from industry data, historical patterns, and his own research to detail how AI's phantom promise, fueled by hype and blind investment, is set to unleash losses on a scale we still refuse to comprehend.

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Key Discussion Points and Insights

1. Ed’s Emotional Investment & Motivation

• Ed opens with a confession of emotional exhaustion and anxiety brought on by his research.
• He clarifies his intent is not to be a contrarian but a realist, saying:

  “I'm not doing this to be contrarian. I'm seeing these things and I'm worried more people aren't seeing them.” (03:29)

2. Comparing Bubbles: Dot-Com vs. AI

• The dot-com bubble, for all its faults, led to the creation of useful infrastructure and was “relatively distributed.”
• By contrast, the AI bubble is more concentrated, with money funneled into a few companies and technologies with questionable underlying logic.
• The core differences:
  • Dot-com: Greedy, reckless, but built some genuinely useful things.
  • AI: Fundamentally illogical, unreliable, and, in Ed's view, actively harmful.
• Ed's damning comparison:

  “AI startups are fundamentally illogical. Selling unreliable software that's best known for its consistent mistakes and active harms, backed by the corrosive and ever worsening infrastructural costs of GPUs.” (05:52)

3. The Infrastructural Crisis: GPUs & Data Centers

• AI relies on GPUs, particularly Nvidia’s hardware; when AI demand collapses, there is no meaningful secondary market for all this infrastructure.
• Data centers built solely for AI will become "powered shells," empty and valueless.
• The dependence on endless, accelerating AI investment means a halt or slowdown in spending is catastrophic for companies like Nvidia, Microsoft, Amazon, Google, and Meta.
• On Nvidia’s predicament:

  “There is no squaring Nvidia’s circle. It is inevitable.” (06:57)

4. Inevitable Reckonings and Dire Predictions

• Ed forecasts a range of potential disasters:
  • Nvidia could lose 40-90% of its revenue in a short period, tanking the S&P 500.
  • Tech giants will face massive impairments and write-downs due to overinvestment in AI-related infrastructure.
  • Oracle, specifically, could face “bankruptcy or at least a severe horrendous series of layoffs and restructuring efforts” after making huge obligations based on AI revenue that may never materialize. (07:50)
  • Venture capital will take unprecedented losses, freezing startup funding past Series B.
  • Over $178.5 billion in U.S. data center deals are at risk of collapse, leading to financial fallout in private equity, banking, and the broader debt markets.
  • Job losses from halted construction or abandoned projects.
  • If OpenAI or Anthropic go public before the crash, investors and all companies relying on them will be incinerated.
  • A "violent paradigm shift" in society as the true ineffectiveness of AI is revealed and all the “bosses, influencers, movie stars, politicians and other individuals of note” who hyped it are unmasked as frauds.

5. Societal Consequences & AI "Psychosis"

• Despite it being “obvious since 2023” that generative AI doesn’t work as promised, hype persists, and the economic math fails to add up.
• Ed identifies a psychological phenomenon:

  “AI psychosis is a prevalent thing on a scale that few people want to discuss. There’s something about the process of using a large language model that convinces people that AI is powerful because they managed to bonk it on the head enough times to make something useful come out.” (12:50)

• He contends that proponents are gaslighting themselves and others, mistaking sporadic usefulness for fundamental utility.

6. Distinct Failures of the AI Era

• The AI bubble isn’t just about greed or wishful thinking, but entire industries (tech, media, finance) losing their grip on reality in the face of group delusion.
• Ed’s condemnation of the era:

  “The AI bubble is happening in a remarkable era of digital information and connectivity… and everybody who inflated this era should, and by my fucking sword, will be made to experience inextricable permanent shame for the horrors that follow as a result.” (14:26)

7. Bleak Outlook and Hope for Being Wrong

• Ed sees no path for survival for core AI infrastructure providers or startups after the crash.
• The only hope he puts forward is the slim possibility that his predictions are overly pessimistic:

  “On some level, I hope I’m wrong. I just don’t know anymore. I really don’t.” (16:56)

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Notable Quotes & Memorable Moments

• Emotional Toll:
  "It's not been rough for the recording. It's rough because every time I go over these details, they fill me full of anxiety. I don't enjoy being right here." (02:40)

• On the Hype:
  "The whole point of these fucking companies was that they were asset light and cash heavy. Now they're full of fucking GPUs that depreciate. This is a fucking calamity." (06:39)

• Industry Delusion:
  "Large language models are a global gaslighting experiment where the test is to see whether inefficient and questionably functional software can convince you that it works because you managed to manipulate its handles with the right prompts..." (13:30)

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Important Segment Timestamps

| Timestamp | Segment Topic | |-----------|--------------| | 02:40 | Ed's emotional investment and why he's "really fucking worried" | | 05:20 | Comparison between dot-com and AI bubbles; why AI startups are worse | | 06:39 | Problems with GPU overbuild and “this is a fucking calamity” | | 07:46 | Breakdown of most likely catastrophic scenarios: Nvidia, Oracle, VCs, banks, etc. | | 12:50 | Ed's argument on "AI psychosis" and generative AI’s real (lack of) capabilities | | 14:26 | Scathing critique of contemporary tech and its leaders’ shame | | 16:56 | Final hopes and hedges: “On some level, I hope I’m wrong…” |

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Tone and Style

• Direct, irreverent, acerbic: The episode is peppered with profanity, passionate appeals, and bleak, biting humor as Ed pushes listeners to confront uncomfortable truths.
• Highly analytical but emotionally raw: Ed balances data and forecasts with personal anxiety and a deep sense of urgency.
• Critical of hype and herd mentality: There is no attempt at faux neutrality—Ed’s skepticism and anger towards the tech bubble, its boosters, and complicit media is front and center.

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Summary for New Listeners

If you missed the episode, this finale to "Bubble Week" gives you a blistering, unfiltered account from Ed Zitron on why the AI investment bonanza not only mirrors, but amplifies the dangers and defects of past tech bubbles. Expect doomsaying, hard numbers, bitter jokes, and a wake-up call for anyone entranced by AI's magical promises. Ed foresees a historic reckoning—across markets, companies, and society—for our heedless embrace of generative AI, with calamitous consequences few are ready to admit.

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Further Resources:

• Newsletter and archives: betteroffline.com
• Discord: chat.wheresyoured.at
• Reddit: r/betteroffline

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All times approximate and based on Ed Zitron’s main content monologue. Ads, interludes, and self-promotion skipped as requested.

Transcript

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[Ed Zitron]

Call Zone Media hello and welcome to Better Offline. I'm your host, Ed Zitron. Today is the final part of Bubble week and our four part dot com bubble special. I am worryingly invested in this show. I put so many hours into it. This is the most I've done in the January I'm having the time of my fucking life. But this four part has been rough. And it's not been rough for the recording. It's rough because every time I go over these details, they fill me full of anxiety. I don't enjoy being right here. Sure I get the satisfaction, sure I get the clicks and all that. But like.

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[Ed Zitron]

It sucks. It sucks. I'm. I'm really fucking worried. I. I'm not doing this to be contrarian. I'm seeing these things and I'm worried more people aren't seeing them. And I'm worried that the after effects will be so much worse than the dot com bubble. So this four part was somewhat drawn from a premium piece I did a few weeks ago called Inventively. This is worse than the dot com bubble. I really suggest you subscribe to my premium newsletter or be in there. But if you don't, I've had a little mustard on it and truncated it for this because it needed to be different in voice. Nevertheless, you should subscribe. But when I was writing that, I actually went into it trying to prove myself wrong. I spent hours and hours reading old articles through broken paywalls and archive.org links in the hopes that I'd find some sort of positive spin. A way that the AI bubble wasn't as bad. Some sliver or nugget of joy, some shred of hope. And everything I've read has made me more worried, not less. The real problem is that there are similarities, but only with the worst parts of both bubbles. We've got stupid amounts of money being sunk into stuff. We've got stupid companies that want to ipo. We've got hopeless startups juiced up by credulous venture capitalists and marketed by even more credulous journalists. Except this time we have the worst margins this side of a vineyard planted in Las Vegas, Nevada, and despicable boosters that will go to war with you to try and prove you're wrong. Using ghost stories, fairy tales and pixie dust. I realize I'm being a little cavalier and colloquial about this and that's because I feel emotionally drained is the way I'd put it. Things are so much worse than I thought. I really thought I'd find something good. I dig into the past and find that there were direct obvious similarities that would say, okay, these GPUs will be useful. There will be something we've built here. I can't find it. I'm actually now convinced that things are going to be much worse. The dot com bubble was relatively distributed and created useful infrastructure. The ideas of some of the most prominent dot com startups were valid, but based on stupid hypergrowth business models that didn't make sense and were only sustained through mass hysteria and ignorance. By comparison, AI startups are fundamentally illogical. Selling unreliable software that's best known for its consistent mistakes and active harms, backed by the corrosive and ever worsening infrastructural costs of GPUs. And they're the customers of the largest company on the stock market that can only keep its valuation on which the markets depend by selling more of it. An expensive to buy and more expensive to install item that only appears to lose its customers money. There is no squaring Nvidia's circle. It is inevitable. Even if AI somehow worked out that companies will have to stop buying as many GPUs and Nvidia cannot afford for them to slow down at all. They must speed up and they must do so forever. There's also no other business model for GPUs that scales. None. There is no use case. This is not useful infrastructure. Once the AI bubble bursts, these data centers cannot be used for other things. At least not things that are going to make more than a couple of single digit millions in total. They will have to be emptied out and replaced with useful gear. They will be those that are finished and I think there's going to be a bunch of undone construction. They're going to be powered shells which are just empty buildings with power attached. And really I don't think that's going to be. That's going to be across the board. I think we're going to have a lot of failed construction. And throughout all of this bullshit, the rest of the Magnificent Seven has seen their stock values soar off the back of pure hype because they weren't making a dime of profit from selling artificial intelligence services. And they've done so by a acquiring hundreds of billions of dollars of physical assets. The whole point of these fucking companies was that they were asset light and cash heavy. Now they're full of fucking GPUs that depreciate. This is a fucking calamity. I am fucking terrified because everything I've read about the past makes me certain that this will be worse, the hands will be longer, and nobody seems to want to accept the true logical endpoint of my arguments. So I'm going to kind of lay them out depending on how right I am. I'm worrying about the following things. Nvidia will lose anywhere between 40% and 90% of its revenue in a relatively short amount of time. Couple of quarters maybe, which will annihilate the value of the S&P 500 because the stock will go down because the market will go ah, Microsoft, Google and Amazon will face massive multi billion dollar impairments within the next few years. Forgot to say meta, but they're included too. Now this one is funny, but will still be bad. Oracle will potentially face bankruptcy or at least a severe horrendous series of layoffs and restructuring efforts to try and right the shift. After agreeing to $248 billion in lease obligations and $56 billion in debt primarily to build data centers to get the revenue from its $300 billion five year long deal with OpenAI, a company that's going to run out of money in the next year, venture capital is going to take such a severe haircut from the AI bubble that it will effectively kill any chances of raising a round after Series B for many, many years. I'm really worried about the reported 1. $78.5 billion in US data center deals going underwater. I don't think they're going to be paid and it's going to lead to massive losses of private equity and banks, which will lead to a chill in effectively all debt markets and massive job losses across the many, many construction projects that have started as a result of the AI bubble. And if OpenAI and anthropic can actually manage to go public, I think every investor is going to lose out as they collapse under the weight of their bullshit assumptions. Every partner, every company relying on them, every infrastructure partner, every AI startup built on their tech will be burned. I also believe that we as a society will face a violent paradigm shift as the result of the AI bubble bursting because it revealed how many people just don't understand stuff. The amount of bosses, influencers, movie stars, politicians and other individuals of note that have fallen generative AI and claimed again and again that it can do things that it can't have, perpetuated myths that will lead to massive societal harms both today and in the future have revealed themselves to be fucking frauds.

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[Ed Zitron]

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Obvious since 2023 that generative AI flat out does not do what many people say it does or will do. And obvious since 2024 that the economics didn't work. Yet still, every single goddamn day we are surrounded by people screaming in our faces that AI is the future, that AI will replace us, that AI is the panacea to every problem, even though it only seems to create new ones. I also believe that AI psychosis is a prevalent thing on a scale that few people want to discuss. There's something about the process of using a large language model that convinces people that AI is powerful because they managed to bonk it on the head enough times to make something useful come out. Seemingly intelligent people will spend hours and hours making claude code burp out quasi useful, quasi functional software, claiming that the productivity gains are obvious even when if you sat down and worked out how long it took them and how much the API rates for the software would be if they weren't being subsidized, they could probably have just learned to code in the first place, or paid someone else to do it. And no, please stop this thing of oh, it's cheaper than hiring a developer. Did you go out and ask a developer? Did you actually get a quote? Do you actually know what you're talking about? Do you know a fucking thing about what you're talking about? You see, I think large language models are a global gaslighting experiment where the test is to see whether inefficient and questionably functional software can convince you that it works because you managed to manipulate its handles with the right prompts, explaining away failures as you go, and getting increasingly agitated with those who don't agree. Agree with you that you're living in the future. This series forced me to live in the past for hours and hours and hours, and all it taught me is that people are desperate to compare this era to another as a means of explaining away the bad habits and specious ideas of a tech industry run by fucking influencers and management consultants. By comparison, the dot com bubble is relatively sensible, built on good ideas executed by greedy people rushing to do things based on ideas they didn't understand and analyses that were utter bullshit. The AI bubble is happening in a remarkable era of digital information and connectivity that allows us to process and analyze details at scale and with speed. And everybody who inflated this era should, and by my fucking sword, will be made to experience inextricable permanent shame for the horrors that follow as a result. And believe me, even if I'm half right, things will likely be so much worse than when the dot com bubble burst. I don't see a scenario where anything survives the collapse of Core Weave, let alone the collapse of OpenAI. I don't see a scenario where any more than a few AIs startup survive, if any. And if that happens, there won't be any customers for those GPUs. Not that anywhere near enough existed to fill even a tiny percentile of the demand that currently exists or for the capacity we've already built. On some level, I hope I'm wrong. I I just don't know her anymore. I really don't. Thank you so much for listening. It's been an intense January with this with CES with the Initiative financial crisis. I'm probably going to take the week off next week and run a call zone media rewind to give my aching brain and lungs a break. Thank you so much for listening. Who knows though, some bullshit will probably happen because it's earning season when this runs. Some crazy shit will happen. Or maybe it'll be normal. I could just rest and if that happens, I'll probably end up winking and squawking into the mic as I always do. Regardless, you'll hear my voice one way or another. Thank you so much everyone. This has been Bubble Week. Thank you for listening to Better Offline. The editor and composer of the Better Offline theme song is Matt Osowski. You can check out more of his music and audio [e-mail] M A T T O S O W S K I dot com youm can email me at ezeteroffline.com or visit betteroffline.com to find more podcast links. And of course my newsletter. I also really recommend you go to chat wheresyoured at to visit the Discord and go to R betteroffline to check out our Reddit. Thank you so much for listening. Better Offline is a production of Cool Zone Media. For more from Cool Zone Media, Visit our website coolzonemedia.com or check us out on the iHeartRadio app, Apple Podcasts or.

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[Ed Zitron]

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