AI Mania Is Eviscerating Global Decision-Making w/ Nik Suresh

Summary

Better Offline – “AI Mania Is Eviscerating Global Decision-Making” w/ Nik Suresh

Date: July 29, 2026
Host: Ed Zitron
Guest: Nik Suresh (writer and consultant; author of “AI Mania Is Eviscerating Global Decision-Making”)

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Overview

In this episode, Ed Zitron interviews Nik Suresh about the rapid, almost cult-like adoption of AI in business, focusing on Nik’s widely-shared essay, “AI Mania Is Eviscerating Global Decision-Making.” Together, they dissect the data and incentives fueling the current AI boom, detailing how hype, psychological pressure, and organizational delusion have replaced rational tech decision-making across the globe. The conversation is critical, witty, and based in real-world experiences from consulting and journalism.

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Key Discussion Points & Insights

1. The Religious Frenzy of Corporate AI Adoption

• AI as a New Faith: AI is now treated as the next unstoppable revolution; enthusiasm is often disconnected from the technology's actual merits.

  "It appears that just AI is this bordering on religious thing within business now that people get into, regardless of whether it even does anything." (Ed Zitron, 02:55)

• The Executive Race to 'Be the Most AI': Employees and managers jostle to be seen as AI leaders, irrespective of results, leading to a workplace arms race of performative AI adoption.

  “It's not to make money, it's to be the most AI, whatever the fuck that means.” (Nik Suresh, 05:01)

2. Failure Rates, Delusion, and Organizational Lying

• Staggering Lack of ROI: According to Nik, he’s seen a literal 0% success rate among observed AI projects in major companies over 18 months.

  “I have seen nothing and I’ve been doing nothing but sales and on-sites…across Australia and the US for a year and a half.” (Nik, 06:47)

• Self-Deception and Upward Lying:
  • Internal reporting becomes divorced from reality. Everyone presents the rosiest possible AI progress to superiors, not to drive profit, but to avoid repercussions.
  • Executives are incentivized to “lie up” and talk up AI impact for internal promotion or to keep leadership happy.
• Deflection by AI Proponents:

  “This is how AI boosters work…they refuse to show you anything real.” (Ed, 07:26)

3. Why Most AI Projects Actually Fail

• Tech Projects Are Already Hard—AI Is Harder:
  Traditional IT projects frequently fail; AI is even less likely to succeed due to complexity and novelty.
• Investment Levels Are Inverted:

  “With AI, this is totally inverted and companies are going, I'd like to take as much budget as I can feasibly get and I'm going to put it all into this thing that I know I'm bad at…” (Nik, 04:48)

• Detachment from Real Business Problems:
  Companies deploy AI solutions to the wrong problems, driven by trend rather than urgent business need.

  “People are going all in on a thing that doesn't really make sense to whatever context they're inhabiting.” (Nik, 09:01)

4. Skepticism and Bad Clients

• Nik’s Consultancy Avoids AI:
  He found offering “AI services” attracted reckless, unreliable clients and scared off their best customers.

  “Our clients that don’t talk about AI at all are far and away the most profitable…” (Nik, 10:37)

5. The Myth of AI’s Database Mastery

• LLMs Are Overhyped for Data Retrieval:
  Both agree that LLMs (like ChatGPT) are often glorified search engines unable to tackle nuanced, context-rich business tasks or databases without substantial human oversight.

  “Even people who are anti-LLM ... say, but it's good for searching large databases. And it sounds like it isn't.” (Ed, 16:08)
  "At the end of the day, as long as we're constrained by having to go in and check whether the results are correct ... you can't get 100 times faster." (Nik, 18:07)

6. The Punishment of Dissent

• Heretics Will Be Shot:
  Openly questioning AI is career suicide in many companies. Not cheerleading AI is equated to professional incompetence.

  “...if you say something like, I don't think AI is the way for me to do my job. CEOs...will just fire you. I've never seen anything like it.” (Nik, 23:46)

• Game Theory & Information Prisoner’s Dilemma:
  Even responsible executives refuse to voice doubts, as any contradiction can embarrass customers or partners, risking careers and contracts.

  “We’re in this weird game theoretic prisoner's dilemma ... you can't even contradict another executive.” (Nik, 25:15)

7. The Potential for Rapid Collapse

• Mass Delusion Sets Stage for Sudden Reversal:
  If one major opinion leader or company reverses course publicly, the whole industry’s “consensus” might collapse overnight, as most participants are only pretending to believe the AI hype.

  “Just feels like one day that the mood could shift.” (Ed, 29:05) “Correct. We're basically talking about coordination problems...If one person puts their hand up, that person will be killed. So no one wants to put their hand up first.” (Nik, 29:20)

8. LinkedIn Psychosis and Marketplace Absurdity

• Executives Mimic Trends Out of Fear:
  Peer-pressure and LinkedIn-driven groupthink lead companies to rebrand themselves around whatever is trending (e.g., “Monte Carlo AI – agent observability platform”).
• Notable Quote:

  “Monte Carlo ... is now Monte Carlo AI. They've completely shifted their messaging because they're no longer a data observability platform, they're now an agent observability platform, whatever the fuck that means.” (Nik, 32:34)

9. Demos, Sales, and Software As Theater

• AI Sells Demos, Not Solutions:
  LLMs are great for building functional (but shallow) demos that impress non-technical execs—but scaling, reliability, and real benefit don’t materialize.

  “The reason that LLMs are so good at creating these demos is you can vibe code together something that ... has like buttons that work. And because the buttons work, it's good enough.” (Ed, 45:07)

• Separation Between Software Buyers and Users:
  This perpetual gap allows for the dominance of superficial sales pitches over long-term value.

10. The Broader Rot in Tech Decision-Making

• Low Standards and Credential Inflation:
  Many in tech decision-making roles, including programmers, operate without oversight or real qualification, resulting in poor products and outcomes.
• Fundamental Cynicism:
  Most software bought by organizations neither solves core problems nor delivers on promised returns.

  “A lot of software is fundamentally ill conceived ... they do the whole migration into a new system and there's just no outcome.” (Nik, 50:04)

11. The Coming Reckoning

• Crisis Will Be the Great Cleanser:
  Both foresee that only a major crisis—a “tech depression” or mass collapse—will upend the current delusional status quo.

  “This is a horrifying thing to say ... These people are never going to learn without suffering.” (Ed, 57:07) “Organizations don’t undergo change unless they’re in an acute state of crisis, which is not just a problem—I mean, a crisis so bad that there is a complete dissolution of sense making.” (Nik, 57:56)

12. The Aftermath & Civic Duty

• A Call to Documentation and Accountability:
  Ed urges listeners to save screenshots of every AI cheerleader, predicting that post-collapse, “everyone will pretend that they were never for it.”

  “Your civic duty when this breaks is take screenshots and respond to anything anti-AI someone says ... This is going to be like the Super Bowl of ‘this you’ images.” (Ed, 61:55)

• Nik’s Realist Take:
  Many careerists will simply flip their positions post-bubble, using agile branding to stay aligned with the next trend.

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Notable Quotes & Highlights

• On the Religious Hysteria:

  “This has just allowed them to coordinate around a thing that allows them to behave this way at the same time.” (Nik, 23:16)

• On Decision-Making Paralysis:

  “If you will not sign off on statements like ‘AI is changing everything. It will transform this business,’ they will just fire you. I've never seen anything like it.” (Nik, 23:46)

• On AI Bubble’s Unsustainability:

  “Even people who are anti-LLM ... say, but it's good for searching large databases. And it sounds like it isn't.” (Ed, 16:08)

• On the Coming Collapse:

  “Organizations don't undergo change unless they're in an acute state of crisis…” (Nik, 57:56)
  “Once this blows up, suddenly everyone will pretend that they were never, never for it…A lot of these AI experts are going to go on LinkedIn and change their byline to AI Project Cleanup Crew.” (Nik, 61:01)

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Important Timestamps

• 02:55 – Ed introduces the main theme; AI’s religious status in business.
• 04:06 – Nik explains why most AI investments are failures.
• 06:47 – Nik says he’s seen “zero percent” success in AI projects (clarifies it’s “his observed sample”).
• 09:44 – Nik on why his consultancy avoids clients obsessed with AI.
• 14:55 – Detailed technical discussion: LLMs and business database requests.
• 16:08 – Why LLMs aren't truly good at database/search tasks.
• 18:07/19:21 – They critique LLMs' intelligence and note the vast market over-investment.
• 23:46 – “Heretics Will Be Shot” section; organizational punishment for not supporting AI.
• 25:15 – The “prisoner’s dilemma” around contradicting the AI narrative.
• 29:20 – How and why the AI consensus could collapse suddenly.
• 32:34 – Example of Monte Carlo’s pivot to “AI agents.”
• 45:07 – LLM demos' effectiveness vs. real-world usability.
• 57:56 – Only a crisis will force a change in the industry.
• 61:01 – Prediction that post-collapse, everyone will deny their exuberance for AI.

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Memorable, Humorous Moments

• On LinkedIn Groupthink:

  “It is driving me insane…It's genuinely sickening.” (Ed, 33:19)

• On Tech Industry Immaturity:

  “Mark Andreessen being like, based, it’s like, shut the fuck up. You are 100 years old.” (Ed, 54:53)

• On Post-AI Reckoning:

  “I don't want these people to die. I want them to be alive so they can suffer by facing the truth again and again and again.” (Ed, 62:45)

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Takeaway

This episode delivers a biting, evidence-based critique of the current AI gold rush gripping global business. Hype, social pressure, and executive delusion have divorced investment and adoption from reality—setting the industry up for a disastrous correction. The hosts urge professionals to keep receipts, steer clear of the madness, and be ready to rebuild when the bubble bursts.

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Guest Links:

• Ludic Blog
• Hermit Tech (hermit-tech.com)

Host:

• Ed Zitron – “Find me at google.com, type Ed Zitron, criminal.”

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For a deeper look at the systemic irrationality driving modern AI adoption, this episode is essential listening—or, with this summary, reading.

Transcript

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[Ed Zitron]

Zone Media Greetings hello and salutations. I am Ed Zitron and this is Better offline. Better offline we are back. You need to subscribe to the newsletter. You need to download the podcast you're already listening to. Take your friends phones. Download it on there. You will have failed me if you don't do this. Not really. I love you all dearly but look today I am joined by the incredible writer and consultant Nick Suresh, who two weeks ago put out one of the best pieces on AI I've ever read, and not just because it confirms my biases. And it's called AI Mania Is Eviscerating Global Decision Making. Nick, thank you for joining me.

[Nick Suresh]

Hey, thank you so much for having me on again.

[Ed Zitron]

This piece was terrifying. I just want to be really clear that, like this, the things that I read in here, a lot of them, I was like, I assumed this was happening. I was assumed that it was this bad. But to summarize the piece, in short, it appears that just AI is this bordering on religious thing within business now that people get into, regardless of whether it even does anything.

[Nick Suresh]

Yeah, yeah. And, you know, I think the thing that got it so widely circulated is even that people who use AI in their work and say they're seeing benefits. A lot of the more sensible people are looking at their colleagues and going, what are you guys doing? Right. Like, I think I'm a little bit faster at my job. And here we have my CEO saying, let's just scrap every other project. We'll remove all the employees. We're going to have 100x productivity. And even sensible people that enjoy it are getting a little bit worried by the level the Mania's gotten to. Yeah.

[Ed Zitron]

So give me an example here. The first section is called AI Investments Are Generally Total Failures. And I realise the title really does say it all there, but can you break that down for me?

[Nick Suresh]

Yeah. So it's interesting because most projects at companies do fail, especially big companies. They're just bad at running tech projects. I've written about this well before, the AI thing was big. What is fascinating is that they have an even higher failure rate for the AI projects. Again, we don't need to get into an argument with people about whether it works or not. Right. We can just start with the basis of normal IT projects fail a bunch. AI projects are novel technology, so these are failing even more. And the protective factor at a company is normally that they don't want to spend all their money on it, they actually want to spend the smallest amount in it possible. Right. It's mostly a thing, it's a cost for the business.

[Sissany (Albertsons and Safeway Advertiser)]

Right.

[Nick Suresh]

With AI, this is totally inverted and companies are going, I'd like to take as much budget as I can feasibly get and I'm going to put it all into this thing that I know I'm bad at and I want to do a harder version of that, but I can't Admit to anyone, I've just wasted millions and millions of dollars. So it's sort of like all the organizations on the planet are going all in on the thing. They know they're bad at playing it on hard mode and, and then sort of just lying about it after the fact.

[Ed Zitron]

And when you say lying, what do you mean? Are they just being like, yeah, this is making me one bazillion more productive percents. I'm so good at AI, I love it. Like, what is the, like what are they doing? What are they actually doing with this crap?

[Nick Suresh]

Well, okay, so it happens in a couple of ways, right? When I say lying, that sounds like very intentional. And there are people that lie because there are people that lie everywhere. But usually it's two things. Internally it can be a lot of delusion. There are a lot of executives out there who have funded AI projects and they don't realise that the whole organization has sort of shifted into presenting them with the rosiest view of what is happening that is possible. Like if you're a CEO who has heard good things about AI and let's say you've got two guys underneath you gunning for a promotion, right? Those two guys are now at an arms race to talk about their AI productivity and how much AI they're rolling out across the business. Like that is the goal. It's not to make money, it's to be the most AI, whatever the fuck that means. Right. So it's pretty nonsensical. But that's, that's self explanation. Yeah, it's, it's very.

[Ed Zitron]

So good.

[Nick Suresh]

And again, it's, it's an extreme version of what we already see, right? Because people already lie to CEOs for promotions. This is just that on steroids.

[Ed Zitron]

So you mention in here you say you've seen 0% success in a year and a half. Is it really zero? You've seen nothing. I just want to be. My audience is going to eat this up, I realise, but I just want to make sure.

[Nick Suresh]

Yes, we should add one asterisk there because some people misunderstood that. Me seeing 0% doesn't mean it's 0% across the whole world because I haven't seen every project in the world. Sadly, some people don't have enough reading comprehension for that. So you have to lay it out or you get like an AI booster who's like, it's not literally zero. Some must be getting some results somewhere. I have seen nothing and I've been doing nothing but sales and on sites at companies like all across Australia and The US For a year and a half now. I don't get brought in to do them. They're like things I see on the side and I go, well, that is not working.

[Ed Zitron]

Well, the thing I think about when I hear that people are like, actually, you haven't seen every software thing. It's just, this is how AI boosters work. They want you, as the defender of reality, to be like, prove unilaterally. This is. The AI is terrible. If it's so bad, prove it. But when you ask them to prove anything, they look at you and go, well, you know, the numbers, just the biggest. The number number I made so big this year, it's. It's the biggest I've ever seen. And they refuse to show you anything real. I think I've been sent the fucking erdos problem thing 15 times now, and the next time someone sends it to me, I'm gonna draw a gun. That is a joke. That's a joke.

[Nick Suresh]

I'm not gonna.

[Ed Zitron]

Not gonna do anything with the gun, but I am just gonna possibly imagine the saw from Jigsaw. Sorry, Jigsaw from Saw even. They're gonna get me in the comments for that one. Just kind of tying them to radiate and say, tell me what you think the Erdos problem means. Tell me what it means. Tell me what you think Erdos means. Because that's the thing. These people don't have anything tangible to share. And your piece kind of. I read it in an airport and I was just sitting there going like fucking hell. And I did get a few looks because I was so surprised by it, but it feels like your piece crystallizes everything. I've been thinking for two years that just this is this weird Death of Stalin style situation where people are just saying, God damn, I love AI. Because if they don't say it, they'll make their boss feel bad, their customers feel bad, and their colleagues feel bad, despite none of them getting anything out of AI.

[Nick Suresh]

Yeah. The simple way to think about it is at any given business, you have one problem generally that is bottlenecking how you're making most of your money. And whatever you think AI can do, it's really only the correct thing to deploy that solves that one problem. It doesn't matter if you write more code, if writing code isn't the way to make more money. And I mean, it's basically just like as simple as that, right? People are going all in on a thing that doesn't really make sense to whatever context they're inhabiting.

[Ed Zitron]

So you mentioned within the piece that you had to basically stop offering AI services or a specific one. Forgive me if I misread that, but you just won't mention AI services within certain software projects because people go nutrageous over them.

[Nick Suresh]

Yeah. What we found was, you know, we're a relatively small business and we optimize a lot for working with people we enjoy.

[Ed Zitron]

And you're a software consultancy, just to be clear.

[Nick Suresh]

Yes, we're a software consultancy in data specifically. So my, my postgrad degree was a master's in data science. Like I was into AI nominally before the whole LLM thing took off. And yeah, what we found was whenever we mentioned AI, two things would happen. And the one I mentioned in the piece was people would become rabidly interested in buying from us, but they were also really bad customers. They made bad decisions, they had cash flow issues, they didn't think clearly. These were not people we wanted to work with as a matter of lifestyle. But also it's like a lot of startups and stuff. The sort of customer where you have to take all the money up front because you're worried they're just going to scam you. These are not people you want to be in bed with. And the people we really liked, we would mention it just as an aside and they would immediately become so disinterested because they just go, well, you know, a lot of people are trying to scam me with this right now. I'm just not interested. So we just don't talk about it at all in any context. We don't like doing it. The work's really boring anyway. But yeah, like, it's just. Here's another thing I can tell you. Our clients that don't talk about AI at all are like far and away the most profitable because they're focused on whatever their biggest problem is at any given moment. It's very, very simple. Like, this is not rocket science.

[Ed Zitron]

Yeah, it's just like, it's like the companies that are doing well are focusing on solving business issues. The companies that are doing badly are the ones getting very expensive digital fidget spinners.

[Nick Suresh]

Yeah. Like, it's as simple as that. I don't know many companies where LLMs unblock, like whatever their core issue is. There's stuff I can think like maybe customer support, but I don't know much about customer support. Anything where I have some subject matter expertise. I'm like, an LLM is not the most important thing you need right now.

[Ed Zitron]

I can't think of it. 2, 3, 4, boobless. Years into this bullshit and I am a spreadsheet hog and it doesn't do spreadsheets very well. I will say people will be very mad at me for this. I found one use of LLMS1 and I think I've told you about this, the Bloomberg terminal, because the way that you request stuff on a Bloomberg terminal is through Python. I don't write Python. So you'd be like, bloomberg LLM, tell me how to get this. And it gives you the code and it runs it. Boom. Simple. Probably the least, like literally just sexy search. Well done. That $1.1 trillion of CapEx, I'm sure that was all worth it. But what's funny is the example you give in the piece of the AI chatbot thing for Snowflake feels like the things that LLM should be good at, which is a database request.

[Nick Suresh]

Right.

[Ed Zitron]

Why doesn't it work? Surely that is the thing that this should be good at. What is the issue there and why don't LLM solve it?

[Nick Suresh]

Yeah, the complexity there is. You know, I don't know much about Bloomberg terminals, although it's very funny, everything you've told me about it, people know you have it.

[Ed Zitron]

It's an autism portal. It's so good.

[Nick Suresh]

Yeah. So I imagine they're fairly constrained in what they can do. For example, you mentioned writing Python, which means someone has written a Python library that interfaces with the Bloomberg terminal and constrains what sorts of things you can ask it. So if it's very well designed and you put all the text in there, the same thing that lets me, a human interrogate it would let an LLM do it. What's very hard at a business is a lot of that stuff is just not written down or it exists in someone's head or the real world is very, very complicated and the very people who are. Let's use this example, right? Why does Cortex not work? So you go in and you're the CFO and you type in, I would like to know how much revenue we made last year. It doesn't know all the little nuances of your business. And for something really important, you need it to be correct. But if you're making use of an LLM and you're the cfo, you can't debug whatever it put out. And that's okay when the number is totally wrong because you'll go, hey, this isn't correct. If it's off by like 5% or 10%, you probably don't know exactly. Like with your Bloomberg terminal. Right. If you looked up something really important, you might reach out to a friend and say, is this Python correct? Because I'm about to spend a lot of money on this.

[Ed Zitron]

Yeah. And to be clear, when you make a request on the terminal, it does the Python. It's just the Python code to request Bloomberg's actual data. Like it has, I imagine, don't write Python, but I imagine there is a library in this, that this is just a layer on top of it so that people like me can actually use it without just punching the typing in like three letter things and making things pop up and then spending hours fucking with it. Which of course I never did before. I used the LLM side, of course.

[Nick Suresh]

Yeah, yeah, that's pretty different.

[Ed Zitron]

But with Cortex, the search side, it seems that the problem is also that. Is it making stuff up? Because not being an ignoramus here, surely looking over a big database and information and pulling stuff out is what an LLM is good at. Or is the suggestion that the database layer is not something LLMs can solve?

[Nick Suresh]

It's just very complicated. So we were at a client site yesterday and they have this ledger internally which tracks all the transactions coming in and out. And there's like 40 different account types stored in all these different tables. And in different situations, you want to use different types of transactions to calculate certain things around service utilization. And an LLM looks at that and it just goes, well, I haven't worked here for eight years, so I don't know how to run this calculation. Like, it's very, very complicated.

[Ed Zitron]

So it's that the data isn't labeled properly and all these other. So it's how the data is presented and looked over.

[Nick Suresh]

Yeah, yeah, you can even label it properly. But there's a reason we have human specialists. It's the same reason I don't get an LLM to write all my contracts. I could, but instead I go to my lawyer, Ian, and I go, what should I actually do here? You know, like the.

[Ed Zitron]

Yeah, it's experience versus data.

[Nick Suresh]

Right. When we started the business, he wrote a contract for me that it's like a standard one and it has things in there I wouldn't have thought of. For example, the agreement we have with clients on how long we take between email responses and how we have to.

[Ed Zitron]

When I was still doing PR stuff, that's exactly what I had in there. Like basic things that you wouldn't think of unless you'd experience the thing. But it's funny because even now, even people who are anti LLM, I will hear them Say, but it's good for searching large databases. And it sounds like it isn't like AI is just not good at that.

[Nick Suresh]

I specialize in this specific area, which is just like big information retrieval. It's pretty good at a database. Specifically in tech means something. It means systems like postgres or whichever, which mean nothing to normal people. I would say they're pretty good at reading gigantic amounts of texts and then pointing a human at the correct place. So a good use is if we're in a new client site and they have a million lines of some fucking thing. I can go, I need to look for the places where this logic might happen. And they'll point me at them. And it's still wrong sometimes, but at least I can look. That's not useless. But it's like, how much would I pay for that? I don't know, maybe like $20 a month. It's not that big a deal.

[Ed Zitron]

But that's the thing. It's like, even with the terminal, it's the same thing. It will get things wrong. It never gets the numbers wrong because when it runs the numbers, it's pulling them from a specific place. And I still tell it, if I ever touch the LLM stuff, run it again, run it again. Just like. And then I'll Google it and I'll look up the stuff because I don't trust anything that touches it. But still, it's just. It is a fishing expedition. You can't rely on it to have any logic. Which I think is what most people want from search. When human beings are pretty terrible about asking for exactly what they want. And I feel like it just falls down. And the reason I keep going on about this stuff is because searching big databases and making decisions feels like 90% of the LLM integrations I've heard about. Like, it's just, how do I do this? And what does this mean? Is how people are kind of seem to at least be describing how it's useful in their business. But it can't do that, which is bad.

[Nick Suresh]

Yeah. At the end of the day, as long as we're constrained by having to go in and check whether the results are correct. Even if we grant that they're correct most of the time, which is not always true. It's very domain specific. That just means you can't get 100 times faster. And that's what's justifying the bajillion million infinity dollars of investment. Right. If we went, hey, this makes you 50% faster, like, all right, is that worth a trillion Dollars? I, I don't think so. I don't think it's worth a trillion dollars. Like the, the market thesis depends on the psychosis claim also.

[Ed Zitron]

I mean, it's meant to be artificial intelligence. Just to be clear, that's the intelligence part is in the name. But everything we're saying makes it sound really fucking stupid. Just like it's just, it's not smart, it doesn't know anything and it does dumb guy stuff. Oh, you didn't ask me in exactly the way I needed to be asked. I don't understand, mate. Sorry, I'm not going to be helpful at all. And also, what we are describing is very simple stuff. It's not a trillion dollars, it's not even a 50 billion TAM industry. It's just. Even if it got everything we're saying right, it still wouldn't be that exciting.

[Nick Suresh]

Yeah, you know, I think it was, it was very interesting when it came out. It was, it was like pretty novel. When GPT3 came out, I went, what the hell? Like, this was not available when I was at university. This is fucking wild. I think this really sort of overstayed its welcome and it's just so interesting because we've taken a technology that, I mean, if you're willing to set aside many, many ethical claims around stealing from artists and environmental things, like if we just hand wave all of that, which I'm not happy to do, but in this context for an argument, I will. Yeah, yeah, if you hand wave all of that, it's like, all right, we've made something pretty neat and then we've still somehow completely managed to fuck everything up. Like all we had to do was be reasonable for 10 seconds about how we use this and invest in it and we have completely failed. Everyone has gone insane.

[Sissany (Albertsons and Safeway Advertiser)]

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[Ed Zitron]

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[Nick Suresh]

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[Nick Suresh]

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[Ed Zitron]

Yeah, it's. I don't know, I'm trying. It's like if everyone did platform as a service and take it to a trailer, it's like, wow, you could just put a single line of code and now your entire ecosystem is working perfectly on this. Yeah, it sounds like the promise that was made with pass and then just didn't happen. I worked on a few of those clients. It was fucking terrible. Explained to journalists what platform was a service meant. But again, no, everyone didn't suddenly say that. No one was running their own computers anymore, no one was running their own databases anymore. And it's just, it feels like it's completely escaped reality. And you are very much in the trenches with this. And one thing I did want to ask about as well was my favorite section of the piece, heretics Will be Shot. And the way you describe it is that there is this genuine religiosity behind this, this aggressive kind of tech evangelism that says if you are not in with the AI stuff, you are out of the crowd.

[Nick Suresh]

Yeah. And it's actually kind of Scary to watch. Like, normally when I write something, I'm mostly angry about it. And you also wasn't a lot of anger in that piece because I was more slowly realizing, yeah, I was like, hey, there are not adults running our hospitals. You know, it turns out, I think the worst thing was realizing that they were always sort of immature and childlike and not responsible or brave like they've always been that way. This has just allowed them to coordinate around a thing that allows them to behave this way at the same time.

[Ed Zitron]

Yeah.

[Nick Suresh]

And anyone that does not get on board, like, God, I've seen some pretty wild stuff. We are sort of at the point where if you tell a CEO at maybe most companies, especially big ones, right? If they're worth over a billion dollars, if you tell certain people, certain executives, that you do not believe that AI is the future. And I mean those words, right? I'm not talking like, have a sound business plan or you believe a specific initiative will work. If you will not sign off on statements like, AI is changing everything. It will transform this business. They will just fire you. I've never seen anything like it. Even, you know, we had the cloud a while ago. People still behave the same way. It's like a little bit culty. They go, we got to move everything to the cloud. We got to move everything to the cloud. I don't think I've seen someone get fired for expressing doubt about that. But if you say something like, I don't think AI is the way for me to do my job. CEOs. I've seen multiple CEOs say things like, well, then you don't belong at this company. You know, pack your bags, get out of here.

[Ed Zitron]

The fuck. What's the justification?

[Nick Suresh]

Well, you're against AI, which must mean you're bad at your job because we won't need people who don't use AI anymore. You know, it's just. I don't know what to say, man. Like, because the question of why implies there's like a coherent reason they've gone insane.

[Ed Zitron]

That's just because you mention in here as well that doubting AI also scares their customers and that it's kind of a chain of idiocy. If you could talk about that a little bit.

[Nick Suresh]

Yeah, so what was really interesting was I was chatting with a Fortune 500 executive, right? I thought it was really interesting because some of the two brain cell dudes on Hacker News were like, ah, this can't be real. And I'm like, I mean, look, It's a Fortune 500 executive like, what do you want me to say? It's just, it's the truth. And this guy was pretty smart, but his company had said some pretty crazy things. So I went, well, you know, do you, like, between you and me, we're sitting here having coffee. Is it true or do you believe that? Or what is making you say this? Is it just because you need to hit certain sales numbers and it's like, yes, some people are very gullible and they buy into this stuff. We don't really believe it internally. Some people believe it internally, but whatever, it's crazy. People everywhere. It was that at this company, because they're huge. They have tons of enterprise contracts and some of those CEOs have deals with them. And if that CEO says something like, we have a 100 times speed up in productivity. And the original guy, the guy I was talking to, goes on the news and says, well, 100 times is not possible. He has embarrassed his customer. And these people can be very, very petty. So they'll cancel the contract and the first guy gets fired for insulting a customer. And we're this weird game theoretic prisoner's dilemma, you know, standoff where you can't even contradict another executive because you can't tell if they're cynically playing the game because then you can say it and they don't care. Or if they really believe it because then you have embarrassed them in public. So all of them have just sort of gone. Even pretty responsible people have gone. I'm not going to disagree with them. I'm just not going to talk about this because it's too dangerous to talk about.

[Ed Zitron]

That is fucking insane. I realize I'm going to say this a lot today, but it's fucking insane. That is one of the craziest things that if you go on television and say you don't like something, you will lose a contract over it. Which kind of explains what happened with the PR firm, I guess. I mean, I don't know how they would have worked out. I don't like AI, but maybe there were some clues somewhere. But this is an industry gone mad. This is the craziest thing I've heard in any. This is like an actual information hazard situation. I am actually a little bit chilled by it.

[Nick Suresh]

Yeah, I think it's fascinating because it's always been bad to insult your customers, right? Obviously. But usually all your customers aren't saying the same thing at the same time in such a destructive way. When they're all saying one thing, that topic is just off Limits. Because if you agree with them, I mean, you haven't really accomplished anything. They don't care if you agree with you. They're just like, for example, if you were the CEO at zero or something, right, you're gonna have huge contracts with a bunch of big companies. You can't actually say what you think on this topic because you might upset someone. And I think what's been really interesting as well is seeing the pressure from boards. I've had so many executives write in since I wrote that and go, yeah, my board has ordered me to use AI. I don't believe in it, but they said if I don't use AI. Yep, boards are saying this, but I've also had board members tell me that they feel like if they don't tell everyone to use AI, they'll be removed from their position. So it's just this. I don't know what to tell you. It's insane. It doesn't make any sense. It's like this huge mass delusion event that I feel like we might be writing about for the next 20 years. Like, it's just fascinating.

[Ed Zitron]

Well, I think what the, the contra to all of this is it also feels like it could reverse very aggressively. And suddenly, because if everyone's just kind of sitting around being like, yeah, I actually fucking hate, or like, there's a contingent of people, it's impossible to measure of people who are like, this kind of fucking sucks. I kind of fucking hate this, but I'm going along with it. And enough people start just saying they don't.

[Nick Suresh]

Like,

[Ed Zitron]

just feels like one day that the mood could shift. Because this is what I've been predicting the whole time, that just at some point everyone will stop doing AI, or someone they like and respect will say, fuck this, I'm not doing it anymore. And then everyone will walk away. They're just looking for permission.

[Nick Suresh]

Correct. We're basically talking about coordination problems, right? Which is a thing where a bunch of people want to say a certain thing. If one person puts their hand up, that person will be killed. So no one wants to put their hand up first. What you need is just some event for everyone to say the same thing at the same time. And what's interesting is we're here because a different problem was solved, which is a lot of executives and board members and people are very easily excitable. They always had this sort of latent level of mania AI coming out in the form of LLMs. Solve that problem for them. Because if you put your hand up and you said, I'm going all in on the metaverse. That's kind of a joke. It was silly back then. So we first solved the problem by giving them something to coordinate and be frantic around. And now we're just waiting for the first hyperscaler to collapse for the reverse

[Ed Zitron]

event or just Satya Nadella or probably not Sundarpa Shai with the way that Google's earnings just went. But someone is going to eventually just go, fuck this. I truly, I think it could be meta. But also who knows with that wacky son of a bitch Mark Zuckerberg would he'll get up to next. I hear he's working on a Tamagotchi. Like an actual AI powered, you know, he's whack. You wacky son of a gun. It is really cool though. It kind of reminds me of your other piece I love, which is Brainwashing Executive Today, but the most extreme version of LinkedIn psychosis, where it's just everything you do is an artifact of how much LinkedIn you consume. Except everyone is LinkedIn now.

[Podcast Host (Announcer)]

Everyone.

[Nick Suresh]

Can I talk about that brainwashed piece for a second?

[Ed Zitron]

Yes, please, please, please do.

[Nick Suresh]

Okay, so the whole thing in the piece is one of my executives, when I still didn't work for myself, came in and just asked everyone at the company about a product called Monte Carlo, which is like super niche, like fucking nerd thing. And we were like, why are you talking to all of us about this? In our one on ones, you only talk to us once a year. This would be like my granddad coming in and going like, tell me about like quantum cryptography. Like, there's no way that this is a top. A topic you should be interested in. Right? Like, it's just so far out of your wheelhouse.

[Podcast Host (Announcer)]

Yeah.

[Ed Zitron]

Where'd you hear about this? Like, when my kid comes in and says a new word, I'm like, yeah, where'd you hear that?

[Nick Suresh]

Now I did hear about this and it was, it was LinkedIn. So they, they did tell me where they heard about it from Dire. But I don't know if you saw this. The CEO of Monte Carlo not knowing I'd written about the company with, you know, I wouldn't say criticize them, but I had some question marks and I was like, who are you advertising to and what the hell's wrong with your website? So she took that piece and boosted it and said, it's, you know, being shared with executives in boardrooms around the world. It might be the most circulated thing in boardrooms right now. I have no way of Measuring that. And then if you look up the Monte Carlo website, you know, from someone who has just gone, you know, I like this piece. I think it raises some good points. Monte Carlo, I don't know if it's always at this, but it's now Monte Carlo AI. And they've completely shifted their messaging because they are no longer a data observability platform, they're now an agent observability platform, whatever the fuck that means.

[Ed Zitron]

Jesus fucking cr. What's great as well, though, is the reaction to your piece. And I've been looking it up. It is. I occasionally see it with mine, but I'm more direct with how I feel about AI people, so they're less willing to share it. But the amount of people I've seen sharing it who are very clearly the subject of the piece is insane to me. It's just like people.

[Nick Suresh]

Very funny.

[Ed Zitron]

It's just like people like, yeah, wow. Can't believe people are misunderstanding. People are all using AI for no reason. I, of course, have nothing to do with this. All my AI solutions are perfect. I love AI so much. But these other imbeciles who are using it wrong, it's genuinely driving me insane, if I'm going to be honest.

[Nick Suresh]

I have a phrase for this which I think is novel. I might have invented this. It's the n minus 2 idiot solution, which is if you look around a room and you go, that guy is the smartest person in here. Everyone will agree. And in a room full of sufficiently ridiculous or compromised people, they're all okay with it because they assume they're number two, right? So you just need to leave them enough wiggle room. What you can't do is go, only one person in this room is smart. You can go. Two of you are smart. And everyone's okay with that. They'll all agree on the first person. They all assume they're the second person. And, yeah, a lot of the coverage has been, you know, this insane phenomenon and, you know, credit to possibly the Monte Carlo CEO. Maybe she didn't say this in so many words, but maybe what she was actually saying was, I feel trapped by the situation. My whole company's pivoted to AI agents, even though it doesn't make sense. Maybe that was her gentle way of screaming into the void. I don't actually know, but it is very funny.

[Ed Zitron]

I kind of want to do a blog at some point. That's just. You can stop using AI. It's just that, literally, you can stop this at any time. You don't have to do this. If you feel trapped, you can just leave. You kind of did that at the end of the piece. You did a very empathetic thing at the end saying, here's how to deal with organizational AI stuff. If you're told this, well, just quit. And in other situations you could also do something else. It's just, it's genuinely sickening. It is actually sickening in a way that it pisses me off. And I've said this before in not so many words, but this is meant to be an industry of meritocracy. This is meant to be the industry where people, oh, we do things for efficiency reasons and we do things because we do things because they get good business results. And now I'm realizing you've kind of told me this in the past as well. Everyone was lying about that. They were just doing stuff that made them feel good.

[Nick Suresh]

Yeah, I kind of wish we had that. Every so often you'll hear someone say something like, the issue with capitalism is it optimizes everything for money. We throw away every other value for money and efficiency and productivity and God, I wish that was true. Because we somehow have the worst of both worlds where we're throwing away every other value and somehow still not achieving peak efficiency. Right? Like we're doing all these horrible, hideous things. And then you look, well, how much money are we making? It's like, not even that much money. We're wasting all the data centers.

[Ed Zitron]

I mean, the data centers alone are just fucking insane to me. I've been. What's really good as well is on the subject of meritocracy and numbers, trying to just pull together very basic things like, is any of this profitable? And asking people and them getting angry at you. Just very angry, just agitated, like, why'd you keep asking these questions? Why'd you keep doing this? And I grew up in a rough neighborhood. I've met my fair share of scam artists. And 100% of the time if someone gets angry at you for asking for things like that, that's because they are full of shit.

[Nick Suresh]

Yeah, yeah. You know, I was in psychology before I was in it. And you see that a lot in things like multi level marketing scams and stuff. You know, like they're. If you go, hey, isn't this a pyramid scheme? They've got the whole script which is like, what do you mean it's a pyramid scheme? What's, what's your understanding of a pyramid scheme? Answer me, you fucker. And it's, yeah, it's sort of the Same thing here, didn't we? Maybe we talked about this previously, but have you seen like that clip of, you know, a very, very gentle interview with Sam Altman? And at the end, this interviewer, who clearly loves him very gently goes like, so what's the plan for profitability? He's just like, I've had enough of these questions.

[Ed Zitron]

No, he's just like, we're making way more than $13 billion this year, you know, and if you need someone to buy your stock. And what's funny is Satya Nadella was on that call. Like, just your bot. Yeah, just Satya Nadella just sitting there with like, I don't know, the magic, Magic roundabout thing. Just nothing going on up there, waiting for the next input. The world's just like the little monkey with the symbol that does backflips, just sitting in Satchin. Adela's head is going, waiting for.

[Nick Suresh]

I'm imagining like, you know, the little Mac Os beach ball. It's just a little spinning widget up there.

[Ed Zitron]

The thing is, Sam Altman will never talk to me. They've already told me he won't. But that's because I know within five minutes he will get pissed off at me because he would just be really easy to just be like, hey, why don't you make any money? Why'd you lose so much money, Sam? Well, we make money and then just. You get more and more immature until he eventually tries to get at you through the screen like a dog that sees his reflection. Easy peasy. He'd try and kill me within a day.

[Nick Suresh]

I mean, there's no reason to. Right?

[Ed Zitron]

No. As a PR person, I would, I would rather kill myself than put Sam Orman on a call with me. Like, I've just. That would actually be the appropriate choice. Whatever you do, do not put Ed Zicher on the call with Sam Altman.

[Nick Suresh]

Yeah, it's also. It's like only a losing proposition for him.

[Wasabi Advertiser]

Yeah.

[Nick Suresh]

Because let's say he comes on and he has the greatest showing of his whole life, you know, like he just, he feels every question perfectly. That is the same outcome as just talking to another journalist that's going to jerk him off for an hour. Right. There's no reason for him to take that risk when he can get so much positive coverage from people that aren't going to ask him any questions.

[Ed Zitron]

And I will only ask him the most annoying. I'll just ask him, are you happy? And his head will start like, erupting in smoke. Anyway, anyway, so we've kind of Got off topic. I realize I wanted to actually talk to you and break down something that I've heard with various people, which is this whole issue of demos with AI. The AI is really good at making a good enough demo to sell to someone. And you kind of covered this before AI was as far down the hole as possible with brainwash an executive. But I get the sense that it's just very good at doing enough to sell an imbecile on something.

[Nick Suresh]

Yeah, I'm willing to be a little bit more charitable here because it doesn't have to be an imbecile necessarily. It just has to be someone who is not proficient with tech. Because when you work with something sufficiently complicated, you understand there's a lot of difficulty around the fine details in deploying a piece of software and the design and achieving business value, whatever you want to do. But you know, as a end user, like, I don't really know how my oven works. I just have some knobs that I twiddle and then the oven works. Right. So if you turned up and you said, you know, I've got nanobots that assemble ovens perfectly and it does it and it bakes a pie. If I don't eat the pie or, you know, whatever, I might go, hey, that was really, really cool. And it is genuinely impressive enough that possibly no one would blame me for investing in it initially.

[Ed Zitron]

Yeah, because you got shown something that looked plausible.

[Nick Suresh]

Right. And not just plausible, like literally impossible prior to 2020, like you couldn't do this sort of trick. And then the next day you start to find out like, hey, well, you know what? Like this, this pie is really bad. And it turns out the oven only has one setting and sometimes it catches fire. And, you know, I still might not be an imbecile because what I saw up front was so impressive. Right. I would be an imbecile if I kept buying it four years later. Right. Like there was a period where the over investment was understandable.

[Ed Zitron]

Well, this actually kind of gets back to brainwashing executive, because there's the point in there that the people that buy software are often not the people that use it. So you just have to impress the CIO or the CTO or the CEO enough, and that person does not have the practical on the ground experience to make that decision, but usually does.

[Nick Suresh]

Yes. And that is basically what makes not just this con, but like a lot of enterprise bad software possible. You just go, hey, your customer support monkeys, they need a new platform. Do you want to put them on Zendesk and then someone buys Zendesk and is the CEO. Like you're never going to log into Zendesk. You should. I actually think, you know, most executives I meet aren't that busy. They're pretty busy.

[Podcast Host (Announcer)]

Yeah.

[Ed Zitron]

They got nothing on. I'm serious.

[Nick Suresh]

Yeah, like, but they absolutely could just go down and sit next to someone for like an hour and check out what their work looks like. That might do a lot more for sort of a long term company strategy than whatever they're doing, like going to big meetings. Look, there's probably some level of wealth where that's not true if you're personally worth enough billions. But yeah, tons of people worth hundreds of millions of dollars still take the time to do that. And again, they run very profitable companies and they don't waste their time on this stuff beyond what's necessary.

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[Podcast Host (Announcer)]

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[Ed Zitron]

It really is just the grimmest thing ever. And I'm guessing that the reason, like the reason that LLMs are so good at creating these demos is you can vibe code together. Something that look, that has like buttons that work. And because the buttons work, it's good enough.

[Nick Suresh]

Yeah, the buttons do work. And that's the thing, the buttons do work, which is why it's sort of understandable. But then you had other problems, right? Like the buttons work until you load it on mobile and then this button disappears and that button doesn't work. Or two people click the button at the same time and it puts down like, you know, it doesn't lock inventory. So now you've got minus one in the warehouse. Like all these things. And it's not that an LLM can't solve them, especially with human guidance, it's that it hasn't delivered on the promise of human takes its hand off and software is solved.

[Ed Zitron]

It's also very likely not running on your infrastructure, right?

[Nick Suresh]

Yeah, I mean, a lot of the time it's literally just running on a laptop and you haven't solved complex deployment issues and that kind of thing. But again, I understand, right? Like if I'm talking to a random cfo, they don't know what infrastructure means in the context of it. So it's all basically understandable. But it's the same reason sane people don't get super excited about developments that they're not specialists in, right. I don't walk around every time there's like a new breakthrough in medicine going, oh my God, this is going to change everything. I go, I don't know how to evaluate this. I have no idea if this is game changing. I'm just going to shut up and let doctors talk about it.

[Ed Zitron]

But this Feels like. Actually, I think I've kind of worked out something which is the problem isn't so. Well, the problem is the fact that you've got executives buying something that they don't really understand, but that's been a problem before. The problem is they are more incentivised to do it. Instead of that one example of an executive getting kind of brainwashed into buying Monte Carlo, it's, I will buy anything with AI on it. And in fact, I believe that if I don't do this, I will be under existential threat.

[Nick Suresh]

Yeah, 100%. And, you know, for what it's worth, that executive didn't buy Monte Carlo in the end. They just wasted a bunch of time. And I suspect if Monte Carlo had AI on their front page, they would have bought it. Right?

[Ed Zitron]

Just instantly.

[Nick Suresh]

I think they would have been like, yeah, especially because with this whole thing where no one is actually using the tools, it lets you tell your CEO that you've made an investment in AI and it's transforming something. Don't ask any questions about what it's transforming. It's actually hard to make businesses more profitable, especially established ones. Startups can do whatever they want because they have nothing to lose. But if you've been in business for five years or 10 years or 20 years, there's a lot of things you're doing and it's not as easy as just going, claw, double my profits. If that worked, we'd already be seeing it. That doesn't work.

[Ed Zitron]

It kind of sounds like most software doesn't solve problems, but I don't mean that. I don't mean that no software solves any problems. I just mean people regularly buy software that does not actually improve their companies.

[Nick Suresh]

Yes, that is pretty common. And this is not an LLM point, right? This is just.

[Ed Zitron]

Yeah, yeah, no, and I really, I must be clear. I mean this on a much larger scale than LLMs.

[Nick Suresh]

Yes, I would say a lot of software does not deliver on its promises. They tend to have much stronger sales teams than they have. Firstly, literally, programmers. The programmers tend not to be very good at a lot of companies. I had to explain to a physio yesterday that we're not a regulated field. This blessed, very happy man was just like, oh, yeah, they wouldn't let you program a computer without a license. I had to study physio for so long.

[Wasabi Advertiser]

I know.

[Nick Suresh]

I felt like I was breaking his heart.

[Ed Zitron]

That's really fucking good. Oh, no, I kind of think you should have to now. I kind of think we need a

[Nick Suresh]

computer licensing well, maybe right. Like anything else serious, like, you know, if you want to be a firefighter, you train, you take it seriously. Yeah, I had to explain to him like, hey man, like they'll let you program if you've read zero books on the topic. Right. You can be a principal engineer. And he went, that can't be true. I've met people who earned like $300,000 that have never read one book.

[Ed Zitron]

Like it's, that's so good. To be clear that regulation of to do software engineering at a company, you need a license. Maybe not, but I think we can extend it to. You can only use social media on a sit down computer. That's a good start. And you can only talk about programmin if you've read these three books. Like you have to qualify to be able to post about it. You can't post about it.

[Nick Suresh]

Yes, I think it would be helpful if we had some sort of accreditation that lent some trustworthiness to the right people. Because I, I don't even read comments I get on things anymore. I do emails. If someone emails me, I'll read it. But like the quality of comment is so bad. And it's not just people that, you know, disagree with me. A lot of them have literal reading comprehension issues. I rarely get like an actual critique on what I've written. I get critiques what people think I've written. But even sometimes people will agree with me and I'll see they've also missed the point and I'm like, well, I'm just going to stop reading these. But to answer your question though, about software not being very good, there's the quality issue of a lot of programmers aren't very good. You can have badly programmed stuff that is still good enough to deliver value to someone. But a lot of software is fundamentally ill conceived. So an executive will hear some pitch that's like, well, if you get this Software, you'll have 10% more throughput on your customer support, whatever. A lot of the time that is just not true. So they do the whole migration into a new system and there's just no outcome at the end of it. They just don't see an improvement.

[Ed Zitron]

That's, I mean, really just feels like the entire software industry is based on nothing at this. But like there's just, I keep thinking calamity at this point because we've got tons of People coding with LLMs not reading the code anymore. You've got software being bought by people that don't use it and don't really understand it. And now just a mass acceleration of that problem that already existed for 10 or 15 years. I think probably the problem we're discussing is probably at least 15 years because it's like a very SaaS based problem because software as a service allowed you to subscribe to software rather than buying an expensive license up front. Which sounds good right up until you're in year three and there's been three price increases and you realize you're paying Oracle. But it feels that we're just accelerating dramatically towards something breaking somewhere at scale. Like I really am. I mean, we were talking about GitHub last night, right?

[Nick Suresh]

Yeah. Oh my God, the GitHub outages have been so funny. I've been really enjoying them. I think I mentioned that. What was it called? Oh God, I'm going to disappoint my friend so much I forgot the name of the piece. But it's about GitHub and their massive outages. It's by Efron Lake.

[Ed Zitron]

GitHub used by basically every person in software engineering and it has the uptime of an unstable startup with $2,000.

[Nick Suresh]

Yeah, I would say a startup with $2,000 can achieve higher uptime than that. That's actually probably true. Look, there's some extenuating circum GitHub deals with a volume of traffic that a startup doesn't, but they're not broke. Right? Like what's going on here? And more importantly, they weren't having these issues a couple of years ago like they're doing something wrong. I've heard it's related to Azure migrations from inside Microsoft. It probably doesn't help that they're slinging LLM slop everywhere too. In that post by Efron, he. He did talk about how almost every changelog they've had has just used the word agent and AI over and over. He never sees the words oh yeah, yeah.

[Ed Zitron]

There's no like stability or the word improvement. It's just agentic. I think that There are now 11 different companies that claim you can do agents with credit cards now as well. It's just like that. It's like the tech industry is all just kayfabe.

[Nick Suresh]

Sorry, what do you mean AI with agents with credit cards? What does that mean?

[Ed Zitron]

Well, that's a good fucking question, Nick. They are suggesting that you can connect an API of some sort to an AI agent and then the AI agent will go and buy something with your credit card.

[Nick Suresh]

I mean, look, as a matter of technical truth, that is true. Why would you do that? That's such A bad idea.

[Ed Zitron]

Well, because you were you, you loved. Well, I mean, no one uses it. No one's actually using these things. DoorDash is doing a command line interface now.

[Nick Suresh]

Why? What is good fucking going on? Dude?

[Ed Zitron]

This whole industry is. Well, what I think it is is just, especially Bay Area people have just been driven completely insane by this stuff. And they are. The way I describe it is it's a community of 30 to 50 year olds desperately trying to impress 22 year olds and they're all desperate to make the like, they're all like, on, on, God, this is permanent underclass. And they kind of look around, they're like, yeah, agentic, right? Fuck command line interface.

[Nick Suresh]

For real?

[Wasabi Advertiser]

For real?

[Ed Zitron]

Yeah, on God, no cap. And it's just insane because even like Mark Andreessen being like, based, it's like, shut the fuck up. You are 100 years old.

[Nick Suresh]

Did Marc Andreessen say based?

[Ed Zitron]

That's pretty upset. I believe he has said based more than once.

[Nick Suresh]

That's actually worse than all of the AI investments.

[Ed Zitron]

Go fuck your Mosaic browser. You fuck. It's just like. It's just that these people don't know anything. And I think we're just. Because the argument about the capex, for example, keeps coming back to, well, these are the richest companies in the world, run by some of the greatest tech talent in the world. What if that isn't true? What if that's not true at all? And in fact, what if it's not run by the smartest people? And indeed, as we've been discussing today, there is an active culture to reduce intelligence across the board. And that's the thing. If I am right, the entire tech industry is going to experience a depression because everyone went insane. Like, everyone got taken into heaven's gate, except instead of killing themselves and other people, they're just doing command line interfaces for fucking DoorDash.

[Nick Suresh]

I don't understand why you'd want a CLI for DoorDash. That's baffling. But I'm not even going to talk about that because it's upsetting me because, like, I don't like. What do they know?

[Ed Zitron]

CLI lets you order DoorDash directly from your agent. Search stores, find the best deals, checkout and more.

[Nick Suresh]

See like. Okay, no, you can't. You can't trick me to talking about this. I have like eight, 80 different thoughts and I'm not.

[Ed Zitron]

What I love is the first response is Boris Czerny, the head of Claude Code, saying brb downloading. I don't know much about Computers. But do you, do you download a cli?

[Nick Suresh]

Like, I mean, yeah, you type in like, you know, you type in something.

[Ed Zitron]

But like, I don't know, I just, I feel like these are the people with the money and they gave me even half this money. I could do basically anything else and make them way more than zero or negative as is happening to them. But it's like these people are never going to. This is a horrifying thing to say. I realize these people are never going to learn without suffering. Like, it's just, it really is that the tech industry, I'm not saying that I want anyone to suffer. I really wish there was a soft landing out of all of this. There was a way out of this without genuine depression hitting the tech industry. But I think that's the only way anything changes. Because they've never, like the dot com bubble was much. I mean the telecommunications cyber is big, but the dot com bubble, the tech industry was much smaller back then. And I think that something like that is the only thing that could change things. Because they need an egregious screaming in the face. They need to be told not just that they're wrong, but they need to be shown it in a graphic way. Unless they're going to start learning stuff. Unless they're going to start learning things.

[Nick Suresh]

So, you know, I had you on my podcast a few weeks ago and the guests right after you were the authors of a book called Crisis Engineering. So they did some of the healthcare.gov bailout. One of them, Marina, was the CTO of Veterans affairs in the US and the thesis behind Crisis Engineering is just that organizations don't undergo change unless they're in an acute state of crisis, which is not just a problem. I mean, a crisis so bad that there is a complete dissolution of sense making like panic in the streets. This is sort of true everywhere, right? Like, people tend to make big lifestyle changes after a huge divorce or you know, some massive event like that. And yeah, I think you're right. I think it's why my advice to most people now is not like, you know, raise a huge stink about this. It's like if someone is actively hurting something in front of you that you care about because of AI. Yes. Stand up and say something. If you work at a fire department and you just need some money to fix a fire hydrant or whatever it is that is important to you right now, we're so far past the point of arguing with these people. I'm like, just ask for your money and ask for an extra $10,000 for a chatbot that doesn't work. Fix the problem. Just pretend this doesn't exist until it all blows up. It'll be fine.

[Podcast Host (Announcer)]

Right.

[Nick Suresh]

Like I'm just waiting to pick up a bunch of really cheap Nvidia shares. That's all I'm doing.

[Ed Zitron]

Well, that's the. And that as we wrap up here, that is kind of what I'm telling people, which is after this blows up, and it will. Goodness, it will, there is going to be a lot of money and competency. I think you've already kind of seen this as well. It's just like people are going to realize because of the crisis to follow the. The imbeciles have taken over the business, idiots are everywhere. And I'm already. I mean, little PR work I've done in the last few months. Even then, it's people being like, yeah, I keep talking to people and they just. AI generate fucking everything. They don't seem to know anything. And I think that that is going to be everywhere. The things that people read. I don't think it's going to be a utopian society or anything, but I think that there is going to be in engineering, in any kind of business management role, a certain degree of. Right. Did you get taken by this? Because I must be clear, once this explodes, I am not going to stop pointing out people who fell behind this. Oh, yeah, I'm going to be. I have detailed notes, to quote Casey Newton, not speaking about anyone specific about who I might be pointing out here. We will. It will actually be, I think, our civic duty to remind everyone who fell for this. And I think the net result of that is competent people are going to make more money.

[Nick Suresh]

Yeah. And if I could, I have one bit here where I think I'm a bit less optimistic, which is once this blows up, suddenly everyone will pretend that they were never, never for it. Right.

[Ed Zitron]

Oh, yeah.

[Nick Suresh]

And a lot of these people are then going to immediately pivot because they have no principles. Right. Just chasing money. A lot of these AI experts are going to be to go on LinkedIn and change their byline to AI Project Cleanup Crew. Right. Like, I think the time to be competent is right now. Like, I pay my team entirely through not doing AI. I'm the only fucking guy out here in Melbourne. I know that isn't just doing AI projects 24 7. Right. But the there. And it's maybe the easiest it's ever been to find sensible clients because now they're all signalling when they're insane. Once the bubble blows up I'll have to find out by signing the contract and finding out if they suck on the day. Now I don't have to. I just need to see can they make it through a 40 minute conversation with me without asking me to pivot their whole business to AI? And if they don't do that, they're almost certainly awesome to work with.

[Ed Zitron]

Well, thankfully my rawtism allows me to document every single person I've ever seen mention AI and it's really easy to tell. And by the way, every listener of this show, your civic duty when this breaks is take screenshots and respond to anything anti AI someone says. When they try and pretend that they never fell for this. This is going to be like the super bowl of this you images. Oh yeah, I've been keeping. I have hundreds of screenshots of people saying stuff about AI and like the dumbest shit in the world. I cannot wait. I'm going to be quote, posting so much my fucking trackpad breaks.

[Nick Suresh]

I will keep a folder and then I will send it to you right after you invent a death note, right?

[Ed Zitron]

Oh, no, no. I don't want these people to die. I want them to be alive to read how much I'm going to post about them. I need them to like, they need to be alive so that they can suffer by. By facing the truth again and again and again. And I think it. I think it is going to be funny. It is really. It remains funny to me though, the. These people still, that there are people who are still questioning whether there's a bubble. Like, it's just remarkable to me.

[Nick Suresh]

In fact, I don't know anyone sensible who's questioning it. Even people I know who are like, I really like AI. They're like, this is clearly a bubble. Like, it's. It's fucking over. It's.

[Ed Zitron]

It's Jova. Well, you know what? Much like this podcast then, Nick, where

[Nick Suresh]

can people find you two places? So the first one is my personal blog, Ludic Blog. That's L U D I C Blog. Or my company's website, which is hermit-tech.com and we have a blog on there too.

[Ed Zitron]

Lovely. And you can find me, of course, on google.com google and then type in Ed Zitron, criminal and ignore all of the other stuff. Just look at the podcast. I, of course we back later in the week with a monologue and us who knows it's earnings week, so who the f. What the fuck's gonna happen? Who goddamn knows? Anyway, love you all. Thank you for listening. This has been Better Offline. Thank you for listening to Better Offline. The editor and composer of the Better Offline theme song is Mattasowski. You can check out more of his music and audio [e-mail] m a t t o s o w s k I.com you can email me at easyteroffline.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.

[Podcast Host (Announcer)]

For more from Cool Zone Media, Visit

[Ed Zitron]

our website coolzonemedia.com or check us out

[Podcast Host (Announcer)]

on the iHeartRadio app, Apple Podcasts or wherever you get your podcasts.

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