Dreaming Against the Machine - September 01, 2026


Episode 21: The AI Bubble, with Matt Scherer

Topics
Episode 20: Resisting AI Data Centers, with Alli Finn and Matt Rodriguez Sharing a new series from Future Hindsight, Occupy! An Unfinished Uprising.

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Length

59 minutes

Words per minute

160.19

Word count

9,584

Sentence count

422

Harmful content

Misogyny

2

sentences flagged

Toxicity

5

sentences flagged

Hate speech

4

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
Topics generated with Qwen2.5-3B-Instruct.
00:00:00.000 Adam Becker. Welcome back to Dreaming Against the Machine. I'm your host, Adam Becker. This week's guest is Matt Schurer. He's a fellow at the Open Markets Institute and a friend of mine. And he is a man on a mission. He is working to make sure that when the AI bubble bursts, as it will, we do not have a bailout for the big tech billionaires who are behind it.
00:00:25.880 And in fact, he has a report titled No Bailout for Big Tech Billionaires that there's a link to in the episode description.
00:00:34.140 So I understand that this may sound like it's a kind of depressing subject for an entire episode of this podcast.
00:00:41.800 But trust me, it's a great conversation.
00:00:44.860 I think you're going to enjoy it.
00:00:46.260 And this is fundamentally about making sure that something like this can't happen again
00:00:53.640 and that the people who are currently flying our entire economy into the side of a mountain
00:00:59.060 don't get away with it.
00:01:01.080 So here's Matt.
00:01:08.140 Matt, welcome to Dreaming Against the Machine.
00:01:11.960 Thanks for having me, Adam.
00:01:12.840 So why don't you go ahead and introduce yourself for our listeners?
00:01:16.260 I am a fellow at Open Markets Institute. I started this fellowship at Open Markets Institute at the beginning of the year. It's focused on the AI bubble, or what I certainly think is an AI bubble, and trying to both explore the breadth of it and try and convince people, especially in the policy world, that the risks that it presents are serious and should be treated as such.
00:01:40.740 okay so really sunny stuff uh and easy to talk about too i'm sure well there's certainly plenty
00:01:48.540 oh well yes there's plenty to talk about but yeah no i think and wait hold on before we dive into it
00:01:54.620 your background i'm a lawyer by training okay uh which uh if you look at my resume there is
00:02:02.040 absolutely no reason i'll admit that anybody would think that i am qualified to write about
00:02:06.460 macroeconomics and the threat posed by the ai industry okay but but hold on just to interrupt
00:02:13.360 to make a joke but are macroeconomists qualified to talk about macroeconomics
00:02:17.640 i do not think that they are the funny thing is i what i always describe this as is like
00:02:26.600 there is such a thing as being too close to the subject you are studying i do not by any
00:02:32.500 stretch of the imagination want to suggest that there are not trained economists out there who
00:02:37.220 are not as worried about this as I am. But by and large, the economics profession, number one,
00:02:45.880 when you are looking at the sweep of what you've been working on over the previous 5, 10, 15, 20
00:02:52.780 years, there's a tendency to kind of forget the more distant history of how things can go wrong
00:03:01.360 when, uh, you, you invest too much money too quickly, uh, in something. And there's also
00:03:08.740 just a tendency to get sucked up into group thing. And I think that that is absolutely
00:03:14.920 what has happened with the AI bubble. And I, the way that I described is how I kind of got into
00:03:22.900 this. Well, number one, I graduated from law school in 2009, which means that I was looking
00:03:29.660 for a job right around september 2008 yeah and i'm sure that went really well so i i ended up
00:03:38.080 employed so that is more than a lot of my classmates yeah yes recently but but i but that
00:03:43.840 was by the skin of my teeth i got i the offer from the law firm that i was planning on working for
00:03:48.620 never came um and the truth is from that moment i became kind of like what the hell is going on
00:03:56.260 with the economy right now? How did we get here? Why is this happening? And I've kind of been
00:04:01.840 somewhat very closely following both what's going on currently in economics in any given time since
00:04:08.140 then. And I've done a ton of reading on both what happened in the run-up to the last financial
00:04:13.180 crisis and what happened before previous financial crises. As a lawyer, I started writing and
00:04:19.960 speaking on AI around 2015, right when it was becoming kind of a bigger deal in the public
00:04:26.540 consciousness. At the time I was an employment lawyer and eventually I kind of found a way to
00:04:31.480 meld the two. And I became an employment lawyer who dealt with AI related stuff in the workplace
00:04:37.840 and labor market. And eventually, you know, a long, long story short, I ended up doing that
00:04:44.000 at the center for democracy and technology for about five years. I led their workers' rights
00:04:47.660 project. But as I got late into my tenure there, trying to convince policymakers to enact regulations
00:04:56.640 and guardrails around the use of AI in employment, in consumer settings, you name it, what I kept
00:05:04.240 running into over and over again is no, AI is the future. We do not want to be viewed as stifling
00:05:09.900 innovation. And so we are not going to impose any guardrails on this stuff. And I kept trying to
00:05:16.600 explain like, look, you are assuming that the tech industry is, is giving you an accurate sense of
00:05:23.940 this technology. And I don't think that that is true. And I kind of reached a breaking point where
00:05:31.280 I was like, you know what? I think that the most impact that I could make would be by kind of
00:05:36.500 trying to explain why all of the assumptions that people have in the policy world about
00:05:43.420 this ai future that they see is misbegotten so that's how i ended up here well i certainly don't
00:05:51.700 see how that's related to anything that i've ever worked on or why you and i are talking right now
00:05:57.240 i mean that all makes a lot of sense to me i imagine there are a lot of people who don't
00:06:01.360 want to hear that but um speaking of things that people don't want to hear why don't we talk about
00:06:07.040 this bubble. And then I don't want to give our listeners a sense that this episode is once again
00:06:17.000 going to be a complete bummer. We really are going to talk about what we can do about these
00:06:22.120 things. But first, we got to be clear on the problem. So let's talk about the bubble.
00:06:27.060 You've written a report for Open Markets Institute, where you work, called No Bailout
00:06:33.140 for Big Tech Billionaires.
00:06:34.760 Yes, that came out in May.
00:06:36.540 It is available on audio versions
00:06:39.400 on Spotify and Apple Podcasts.
00:06:42.480 So if you don't want to sit down
00:06:44.320 and read a 50-page report,
00:06:46.200 you have the option of listening
00:06:48.100 to my opera-trained baritone voice reading it.
00:06:52.760 Wait, wait, wait, wait, wait.
00:06:53.420 Hold on, hold on, hold on.
00:06:55.240 Back up.
00:06:56.020 You were talking about your background.
00:06:57.720 You mentioned nothing about opera training.
00:07:00.880 Slight exaggeration,
00:07:02.000 but I did, I did take classical voice. I went to a performing arts high school. I did a classical
00:07:07.020 voice training. I did four different singing groups in college and was the president of the
00:07:11.420 Penn singers light opera company. Wow. So, okay. I did have a prior life, but I figured out that
00:07:18.200 my voice was just good enough to do things like singing acapella groups, but only good enough that
00:07:24.500 if I actually wanted to try and make a career out of it, I'd be waiting tables for the rest of my
00:07:27.640 life which there's nothing wrong with but that's not uh that that's not what i uh that that wasn't
00:07:33.440 the life that i got it and so you went to your backup option law school yes that is exactly what
00:07:39.260 it was okay okay i need i need a sec uh i mean actually actually actually adam that was my third
00:07:48.980 choice my first choice was uh i was going to be an nba player but i stopped growing when i was 14
00:07:55.880 years old. I'm six foot two. I've been six foot two since I was 14. So basketball went down,
00:08:02.040 switched to singing, singing went down, went to law school. Working on workers' rights went down.
00:08:07.100 I started warning people about the AI bubble. So, you know, I just kind of go where failure takes me.
00:08:15.860 Fantastic. That said, and Adam, I told you this the last time we talked, but on the off chance
00:08:22.900 that any of your listeners have not read more everything forever they should it is my favorite
00:08:29.280 thing that i've read uh in in the past few years and it has actually like a very good overview of
00:08:38.300 why a lot of the narratives around ai and the idea that we are on the cusp of super intelligence that
00:08:45.240 will which really is an important aspect to kind of transition and back into our discussion part of
00:08:52.400 the narrative that is kind of underpinning the AI investment super cycle, boom, bubble,
00:08:58.720 whatever you want to call it, is the idea that, yes, we are spending, the last time I looked,
00:09:03.840 the estimates are somewhere between $5 and $7 trillion on AI infrastructure. How are we going
00:09:10.960 to pay for all that? The answer has been, well, we're going to get AGI. We're going to get
00:09:14.780 artificial general intelligence. We're going to get super intelligence. And once that happens,
00:09:20.080 we will have such explosive economic growth that you don't need to worry about how much it costs.
00:09:27.420 It's going to solve all of humanity's problems or alternatively make us extinct. Either way,
00:09:34.720 you don't need to worry about the seven. Oh my God. Yeah. Your book actually has what I think
00:09:39.420 is an excellent kind of examination of the logical fallacies underpinning the idea of
00:09:46.260 super intelligence. But it's kind of bizarre that what I consider to be something very close to a
00:09:53.860 conspiracy theory in terms of the logic underpinning it has really become part of the jargon
00:10:01.300 of justifying what is really the engine of our economy right now. The question is what happens
00:10:09.240 when it turns out that you've put a lot of sugar into that fuel in that engine and it's going to
00:10:15.240 eventually stop at some point when people realize that the super intelligence is not actually
00:10:20.600 happening okay so first of all thank you for saying such nice things about my book but also
00:10:26.340 yeah i mean this is exactly what i'm worried about obviously i agree with you not only that uh 0.58
00:10:33.920 that agi is nonsense it's not a coherent idea and it's and the kind of thing that these guys
00:10:42.640 are talking about that would bring such massive financial returns is not going to happen anytime
00:10:47.600 soon, even if it were a coherent idea, which it's not. And we could spend the entire show talking
00:10:54.400 about why that's nonsense. But that's not the main thing that I want to talk with you about,
00:11:01.120 although I imagine we'll get into a bit of that as we keep going. But as someone based in the Bay
00:11:08.380 area, this logic is everywhere. And it's really quite terrifying to see it because it's just
00:11:15.720 taken as this consensus that this godlike omnipotent thing that's going to either end
00:11:25.080 the world or bring about endless economic growth is just around the corner and is coming any day
00:11:31.020 now. And all of that's nonsense, but people believe it anyway. And they're believing it to
00:11:38.920 the tune of trillions of dollars and it's propping up the entire economy. So how bad is this bubble
00:11:45.460 like in, I mean, you and I are roughly the same age. Uh, I was in graduate school when, uh, when
00:11:50.880 the 2008 bubble happened and thank goodness, uh, I, I was, I wasn't in law school. I was working
00:11:57.560 on a PhD. And so it took me longer. Right. And so I didn't come out right at the worst possible
00:12:02.640 time, but I saw it happen while I was hiding out in graduate school. I was like, Oh shit, 0.99
00:12:07.960 that's not good. How bad is this bubble relative to that one? I actually don't think that 2008 is 0.99
00:12:15.000 the right metaphor for what's happening right now. Something that I, that I've increasingly
00:12:20.120 taken to tell to when I talk to people about this, they always say, well, this isn't like 2008,
00:12:25.800 because in 2008, it wasn't just the amount of money. It wasn't the size of the subprime market
00:12:31.240 that was the danger. It was the fact that so much of the, so sorry, quick overview for people.
00:12:38.260 What happened in the runout to the 2008 financial crisis was there were trillions of dollars in
00:12:46.140 loans that were extended to people, mortgages, mortgage loans that were extended to people
00:12:52.520 who had bad credit or no credit score at all because they had no credit history.
00:12:58.940 And on top of that, trillions of dollars in mortgages, there were trillions of dollars
00:13:04.100 of essentially bets that were placed on those mortgages. And what happened was a lot of that
00:13:11.260 debt ended up getting held by big banks, by investment banks, by insurers and other financial
00:13:18.180 institutions, and it got spread throughout the financial system. And when that debt kind of
00:13:23.020 inevitably went bad because underpinning it all was people who couldn't pay their mortgages,
00:13:27.840 the entire financial system virtually seized up. The Federal Reserve and regulators were able to
00:13:35.080 basically prop the system up for about a year after it first froze up in the summer of 2007,
00:13:40.620 but eventually it came crashing down in 2008. Now, there are some important differences between
00:13:47.780 then and now. One is that the debt has not yet gotten as widely dispersed to commercial banks
00:13:55.420 and investment banks at the core of the financial system, the part of the financial system that
00:14:01.500 people use to meet payroll and small businesses and to pay their bills out of their checking
00:14:07.000 accounts. That part of the financial system, as far as we can tell, it has not yet gotten as
00:14:12.960 exposed to it. But there's an old saying that applies to military conflicts is the problem
00:14:18.680 with generals is that they always fight the last war. And that is the problem with kind of looking
00:14:24.420 too closely at the similarities and differences with 2008. Because yes, there is not quite the
00:14:32.180 same level of involvement of the commercial banks at the heart of the banking system yet.
00:14:38.900 but the size of the ai bubble itself in the stock market in the total amount of debt that is tied
00:14:47.480 up in data centers is already larger by leaps and bounds than any asset bubble in history
00:14:55.460 and the amount of debt is greater than the amount of debt that was tied up in subprime mortgages
00:15:02.580 in 2008, in 2007, I should say. And I would argue that the neoclouds that are kind of
00:15:10.160 an open AI and anthropic that everybody's kind of relying on to meet those debt obligations
00:15:16.300 are just as unable to pay their bills as the subprime borrowers were in the run-up to the
00:15:22.220 financial crisis. I could spout statistics off the top of my head all day, but the one that I
00:15:28.780 that I think is kind of most telling. Right now, just four hyperscalers, or actually it might be
00:15:36.040 five, but Amazon, Alphabet, Meta, Microsoft, and I believe Oracle is the fifth. Just the five of them
00:15:43.640 have $3 trillion in debt that is tied to the AI boom. $3 trillion with a T. About 60% of that is
00:15:54.640 off their balance sheets, meaning that investors, when they look at their financial statements,
00:15:58.960 don't see it. They have different ways of keeping it off. And that last part is also important
00:16:03.960 because institutional investors often only consider what's on the balance sheets when
00:16:08.800 they make investment decisions. So that $3 trillion is just those five companies. That's
00:16:16.640 not even counting the numerous smaller speculators that are going out like Kevin O'Leary building
00:16:24.440 data centers trying to build data centers in utah and things like that so it's it's it's big and
00:16:32.120 it's bad so first of all meta that's facebook alphabet that's google you used another term
00:16:40.040 neoclouds tell our listeners what that is uh so neoclouds are the term for companies core weave
00:16:47.720 is probably the most prominent one yeah core weave nebius is another crusoe energy a lot of
00:16:53.700 them are former crypto miners is how they got their start. But what they are, are they are
00:16:59.120 companies that are essentially developing data centers and using them, filling them with NVIDIA
00:17:06.500 chips and using those data centers to kind of lease capacity, either to open AI and Anthropic
00:17:13.800 or to the tech giants to run AI models off of. And they're called NeoClouds because they're
00:17:20.120 offering essentially cloud computing services, mainly in the form of access to AI inference that
00:17:26.800 runs on the cloud or AI training that is done through the cloud. In that sense, they are like
00:17:31.440 cloud service providers, but they're new ones. They're not the old legacy giants that dominate
00:17:36.620 that market, namely Amazon, Microsoft, and Google. Okay. So $3 trillion. I mean, is there a good
00:17:46.480 historical comparison i mean it sounds like you're saying there isn't one that this is in some ways
00:17:51.640 bigger than any previous bubble in some ways it is um i and i don't want to i it always freaks
00:18:00.480 people out when i use this but i honestly do think that the closest parallel is 1929
00:18:04.500 um and the reason the reason i say that is that in 1929 if you looked at the surface
00:18:14.040 what we had at that point was a stock market bubble. In a lot of ways, a stock market bubble
00:18:19.860 that looked a lot like the one that we have today. It was being driven in large part by what at that
00:18:26.000 time were the high tech companies, RCA, which was the, you know, or it was just called radio back
00:18:32.920 then, RCA, but that was the company that was the pioneer in selling radio equipment. And also they
00:18:39.040 were a broadcaster and, uh, you know, they were kind of the, you know, the, the high
00:18:44.400 tech, um, speculative play of the day.
00:18:48.260 And then there were also aviation.
00:18:50.540 Aviation was a new thing at that time.
00:18:52.860 And people were pouring money into deeply unprofitable airlines and the, in the end,
00:18:58.180 uh, airplane building companies and automotive companies.
00:19:02.100 Um, back then those were the high tech plays and they were, they were, they were, they
00:19:09.040 technologies that had the potential to, and that eventually did transform the economy.
00:19:14.260 The problem was they were not ready to transform the economy yet, number one. And frankly,
00:19:22.240 they didn't transform the economy nearly to the extent as people thought they would,
00:19:26.400 because subsequent inventions ended up displacing a lot of the technologies that
00:19:31.920 were being invested in at that point. So it wasn't though the stock market bubble alone
00:19:40.880 in 1929, as big as it was, that led to the Great Depression. What's really eerie is that if you
00:19:50.660 read the last chapter of a book, it's one of the best books of economic history ever written. It's
00:19:55.380 The Great Crash 1929 by John Kenneth Galbraith. And he said that there were five things in 1929
00:20:02.840 that led that stock market crash to kind of spiral into the Great Depression.
00:20:09.000 Number one was high levels of income inequality, which basically meant that when all these rich
00:20:16.960 people who'd gotten rich off the stock market weren't so rich anymore, that the economy kind
00:20:22.980 of just inherently was going to slow down a lot because it was the rich people who were driving
00:20:28.000 it in the first place. The second was you had a lot of interconnected banks and financial
00:20:33.360 institutions that kind of relied on each other to pay their bills. That's absolutely true today.
00:20:39.320 There, he talked about how there is a deep imbalance of trade. Back then it was actually
00:20:44.480 a trade surplus, but today it's a trade deficit, but there's kind of a similar effect there.
00:20:49.980 And another was that policymakers, I'm forgetting the fifth, but another was that policymakers were doing all the wrong things. And that is absolutely true today, too, because instead of pumping the brakes on all of this, you've got the Trump administration about to open up Americans 401ks to private credit.
00:21:11.320 Uh, you've got the federal reserve loosening capital requirements, which basically allows
00:21:17.780 banks to take on more risk instead of less.
00:21:21.140 Um, and in general, you've just got kind of an eerie coalescence of the same ingredients
00:21:29.720 that were in place in 1929.
00:21:32.100 And on top of that, this is the thing that's really scary.
00:21:36.620 In 1929, the stock market was bigger than the U.S. economy for the first time ever.
00:21:42.960 It was the first time that had happened that there was more money tied up in stocks than U.S. GDP.
00:21:47.660 That ratio is called the Buffett indicator because Warren Buffett has always said that it's important.
00:21:51.980 It was just over 100%.
00:21:54.080 The stock market was just a little bit bigger than GDP then.
00:21:57.760 Today, the Buffett indicator is 240%.
00:22:01.100 the stock market is worth two and a half times almost us gdp which means that any stock market
00:22:08.460 crash today would wipe out more wealth than anybody could have ever thought was imaginable
00:22:14.280 in previous crashes so that's why i'm petrified about what's happening with this okay i know you
00:22:23.440 said that was it wasn't going to be all doom and gloom but it's pretty gloomy yeah this is not a
00:22:29.140 video podcast but again i'm making a face as is so often the case when when you're talking to someone
00:22:35.280 and you're recording it uh the the best line came before we turned the recording on you at one point
00:22:42.520 said well we were getting ready to start uh let's party like it's 1929 and now i'm understanding why
00:22:50.080 you said that. Oh boy. Okay. Well, that all sounds horrifying. It is. And the other actual
00:23:00.740 close parallel or somewhat close parallel that I can think of was 1873.
00:23:06.920 Ooh, a deep cut. Yeah, very deep cut. But there's a new book by an author whose name I'm sure I
00:23:12.980 will butcher. I think it's Liaquat Ahamed. But it's called 1873. And it is about that year's
00:23:20.720 stock market crash. And really, it was mainly a bond market crash. But that was really the first
00:23:27.400 kind of modern financial crisis that the U.S. experienced. And it was built around the railroad
00:23:33.860 bubble that had arisen at that time. The reason that that, I think, is an important parallel
00:23:39.220 is that it really, even if you do believe that AI is transformative and that we will have
00:23:47.680 a completely revolutionized economy as a result of it in a few years, that's exactly what they
00:23:54.420 thought about railroads in the 1860s. And they were right then. Railroads did revolutionize the 0.83
00:24:01.480 country. The problem was people poured way too much money into too many railroad lines,
00:24:09.980 way more railroad lines than we needed. They wildly overestimated how quickly
00:24:16.360 railroads would transform the economy. And basically what ended up happening was they
00:24:22.040 took on a lot of debt. They weren't able to pay it back fast enough. And it all came crashing down
00:24:27.800 when a few of the original Robber Baron schemes started to fall apart. So I think that that is an
00:24:33.060 important lesson too, because what it shows is that even if you do believe that AI is transformative
00:24:38.840 and revolutionary, that doesn't mean that you can throw as much money as you can get your hands on
00:24:46.580 into it and expect everything to turn out okay. Especially given the fact that well-built railroad
00:24:53.220 tracks last decades, the GPUs that are at the center of the spending on the AI bubble have a
00:24:59.960 shelf life of at most about five to six years. So we are burning a lot of money on infrastructure
00:25:08.200 that won't even last as long as the infrastructure that tanked the economy in 1873 today.
00:25:14.340 You know, it's funny. This is not even the first time that the railroad bubble has come up on this
00:25:18.220 podcast uh i think i was talking with um um shannon velour uh a few episodes back and
00:25:27.500 she mentioned the railroad bubble and she also mentioned i think it was her shannon i'm sorry
00:25:33.960 if i'm putting somebody else's words in your mouth and i apologize to whoever the other person was
00:25:37.360 but i'm pretty sure this was shannon that at one point um she's you know giving a talk and
00:25:43.280 somebody said, well, you know, like regulating AI now would be like, you know, regulating
00:25:48.480 the railroads when they were transforming the economy. And that would have gotten in the way
00:25:53.280 of a truly transformative technology. And we don't want to let that happen. And her response
00:25:57.280 was, do you think that we didn't regulate the railroads? We totally did. 0.97
00:26:04.100 Here's the thing. One of the reasons that we regulated the railroads, we didn't regulate
00:26:08.320 the railroads at first. At the very beginning of the railroad boom in the mid-1800s, they didn't.
00:26:15.340 And people kept getting hit by railroads. And that's why we have grade crossings. That's why
00:26:20.820 there are signal systems that are standardized across the entire system. And that is why railroads
00:26:29.240 are also regulated as common carriers and subject to intensive supervision by authorities wherever
00:26:35.320 they operate. But a lot of that didn't happen until number one, people started dying. And number
00:26:42.220 two, uh, the railroad industry started to lose some of its clout because, uh, their bubble burst
00:26:49.160 and people, they, they didn't no longer held all of this credibility of, Hey, if you go against
00:26:55.580 the railroads, you are going against the future of the U S economy. So it's very parallel in a
00:27:01.460 lot of ways to what's happening now well and so this brings us to you know some real grounds for
00:27:05.820 hope right we want to we want to regulate the tech industry well when this bubble pops and it will
00:27:13.500 that's going to give us a chance to do it i mean that that's certainly my hope but i obviously
00:27:20.140 would prefer if we did it beforehand and did it in a way that could mitigate whatever damage from
00:27:27.040 the bubble bursting uh is is is possible at this point and the truth is i don't know though like
00:27:34.140 if there's one thing that i've learned from reading about the history of speculative bubbles
00:27:39.340 and crashes it's that they have a life of their own they they have the way i describe it is they
00:27:47.260 have an illogic of their own um and their rational arguments about hey look at the company's
00:27:56.900 earnings relative to how much they're spending on this and look at how well that's always worked
00:28:03.340 out in the past whenever that's happened. It just never seems to take hold because everybody always
00:28:08.480 thinks this time will be different. This technology is different. This is the technology
00:28:13.400 that will bring about change so rapidly and so many riches to so many people
00:28:18.800 that the amount of money that we are spending on at this time will pay itself off.
00:28:24.620 One of the books that talks about that is actually called This Time is Different. It's the most dangerous, messed up. How is it that we never learn as a society our lessons from these things that is in all of certainly industrial era history?
00:28:43.100 Yeah, I mean, it's just that Arrested Development meme. No, it never works for them. They always think it will and it never will. But it just might work for us. This is awful, but I also kind of love this. I don't like that this is happening, but this is such a good articulation of this problem.
00:29:04.620 And it's also coming from a different perspective from the place where I talked about it in More Everything Forever, right? Like, in my book, I talked about people saying, oh, you know, this is going to happen. You know, we're going to have endless growth forever. And I talk about all the, like, physical reasons why that's not going to happen.
00:29:24.220 But this is also just a wonderful historical perspective on, yeah, this isn't the first time that somebody promised us this, and it never worked before.
00:29:36.620 And, you know, what are you going to say?
00:29:37.780 You're going to say, you know, well, the past failure to growth forever is no promise of the future lack of infinite returns.
00:29:44.960 Like, that's not going to, that logic is not going to fly.
00:29:48.300 But of course, these are people who think that there is no relevant history here, that this is a truly unique thing in human history. And again, we could get into like why they believe that and all that stuff. But instead, let's talk about what we can do about it.
00:30:04.980 Like, do you see a way for us to break that cycle of it logic and do something to mitigate
00:30:11.720 this bubble before it pops or I don't know, pop it sooner rather than later.
00:30:17.160 So it's less destructive.
00:30:19.220 Are there ways to do so?
00:30:20.480 Yes.
00:30:21.160 And I guess I'll briefly describe those.
00:30:23.300 And I've got a report coming out that I'm co-writing with Maya Jenkins of Americans
00:30:27.680 for Financial Reform.
00:30:28.960 It'll hopefully be out in about six weeks or so that has an in-depth section on this.
00:30:34.000 But number one, so much of the revenues that are floating around in the AI ecosystem, you know, your audience can't see me doing this, but revenues should be in scare quotes, scare quotes, because it's circular.
00:30:54.360 It is companies, it is NVIDIA and Google and Microsoft investing money in companies that
00:31:02.520 are using it to buy services from those companies.
00:31:05.140 That is not real revenue.
00:31:07.020 Like CoreWeave.
00:31:07.760 Yeah, like CoreWeave, like OpenAI and Microsoft's very close relationship.
00:31:12.840 Anthropic, I believe Google is, you know, lining up, I want to say it was $200 billion
00:31:18.760 of financing that Anthropic is going to use primarily to buy Google's chips and use Google's
00:31:23.880 cloud services, that's not real revenue for Google. And that's not real assets for Anthropic.
00:31:31.200 But the way that they are kind of engineering their balance sheets is that they're making it
00:31:37.140 look that way. And there are absolutely things that state level, even, you know, even if you,
00:31:45.300 as I believe, don't think that there's any chance that the Trump administration will do anything
00:31:49.440 about this. State regulators certainly can. They have, you know, state regulators, state
00:31:55.060 attorneys general, state, you know, comptrollers that, you know, and state auditors, they have
00:32:02.720 different regulatory responsibilities that deal with the state pension funds, state investors,
00:32:09.200 protecting the state's investors. And that includes making sure that when companies
00:32:13.680 are releasing misleading revenue and earning statements that make their finances appear much
00:32:18.960 healthier than they are, they have the ability to do investigations and to demand additional
00:32:24.160 information requiring companies to substantiate the statements that they're making about their
00:32:28.940 revenues and their forecasted revenue growth. If that had started happening a year ago,
00:32:35.540 I frankly think a lot of these companies would, a lot of the further inflation of the bubble that
00:32:41.980 we've seen over the past year when it's gone from, it was already serious a year ago to now
00:32:47.860 it's like at critical mass, uh, it wouldn't have happened. And there still is an opportunity
00:32:53.620 to do that. And that I think is, is, is the number one thing. If you shine a light on kind of the
00:33:01.180 borderline, you know, borderline fraudulent, uh, what I would say kind of revenue and financing
00:33:10.680 games that these companies are playing, you would make it very, very difficult for them to,
00:33:15.620 maintain the charade that they are. So that's the number one, that's the thing that I think
00:33:22.880 could be done in advance of the bubble bursting that could at the very least slow the pace of
00:33:30.820 growth of the bubble and maybe even let some of the air out of it without causing too much harm.
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00:34:45.060 Let's get pessimistic again for a second, and then we can go back to optimism.
00:34:49.720 Say that that doesn't happen, and that the bubble pops, I don't know, sometime in the
00:34:55.300 next six months.
00:34:57.420 And I'm not saying that it will.
00:34:59.260 This is not financial advice.
00:35:00.980 i am not forecasting when this bubble will pop um although if you have a guess matt i would love to
00:35:09.000 hear it but what does that look like what effect does that have on the world what does what effect
00:35:15.180 does that have like around the world um listeners of this podcast as far as the timing of it first
00:35:21.780 um no i have no idea i think that's the only real answer yeah i mean there's a a famous quote
00:35:28.760 attributed to John Maynard. Yeah. I think I know what you're going to say. Yeah.
00:35:32.380 Markets will stay irrational longer than you can stay. So that's the one. Um, yeah.
00:35:39.060 And that, that is absolutely true here. I do think that there is kind of a
00:35:43.560 sell by date that is that, that, that is happening, but that date is not until 2028 or 2029.
00:35:50.580 Um, I think, and if this bubble keeps inflating for another two or three years,
00:35:57.320 I don't even want to think about what it would look like at that point. Something else that
00:36:02.000 a lot of people, um, and this is a transition to what the world would look like afterwards.
00:36:07.840 A lot of people seem to have a, an impression that crashes and crises happen almost instantaneously.
00:36:18.480 Um, they don't remember, they remember the collapse of Lehman brothers in 2008 as this
00:36:24.100 instantaneous thing that sent everybody into a panic. And to a certain degree, that makes sense.
00:36:29.700 That's when it really kind of became impossible to ignore. But credit markets froze up a year
00:36:37.400 before that, and it took extraordinary interventions by the Federal Reserve to keep the economy from
00:36:43.160 collapsing at that point. Bear Stearns, which was like Lehman Brothers and other big investment
00:36:48.420 bank. It had collapsed about six months before Lehman Brothers did. So, you know, like it wasn't
00:36:55.120 an instantaneous thing. There was actually a one year lead up to, uh, September, 2008 and Lehman
00:37:02.360 Brothers collapsed. And even in 1929, um, the stock market crashed in October of 1929. Banks
00:37:10.240 did not start failing on Moss until Roosevelt was elected president and was about to be sworn in
00:37:17.440 almost four years later. Wow. That's how long it took for the stock market crash of 29 to spiral
00:37:23.640 into the Great Depression. And in the dot-com bubble, it burst, but nobody actually knew when
00:37:29.360 it burst. It wasn't as though there was this day where everybody's like, oh, the dot-com bubble's
00:37:34.420 over now. The stock market reached a peak. It started to fall. It stabilized a bit, and then
00:37:41.080 it fell a bit further. But basically what happened was it reached a peak, and nobody knew the day
00:37:46.340 that that happened, that that, that the stock market was never going to go higher again for
00:37:49.620 another six or eight years, whatever it was. So that's the thing about economic crises and
00:37:56.280 bubbles is that the end of them can sneak up on you in some ways. Again, like there's, there's a
00:38:03.040 dark side to that. And there's a bright side to that. The bright side is that it means that there
00:38:07.220 are opportunities to kind of manage the fallout from a crash before it happens. And again, like
00:38:15.040 one of the big things is making sure that you have steps in place where you can allow
00:38:21.300 big companies and even banks to fail without bailing them out, which was a problem that we
00:38:27.060 kind of started to address in the aftermath of the 2008 financial crisis, but I worry that we
00:38:32.820 didn't do nearly enough. But it means that there's still an opportunity to pass legislation that
00:38:37.580 makes it easier to wind up big failing companies so that they can collapse without taking down
00:38:46.840 large chunks of the economy with it. But the downside of it is that people often hold on
00:38:53.140 to the illusion that inflated the bubble or whatever the speculative frenzy was in the first
00:39:01.080 place, they can maintain that illusion long after it should have been apparent that that
00:39:09.520 narrative had been destroyed. That was certainly the case in 2007 to 2008. Here's a fun fact about
00:39:16.100 the 2008 financial crisis. Even as Lehman Brothers was collapsing into the ground,
00:39:23.540 they were going around telling the Federal Reserve and telling bankers,
00:39:26.540 we're not insolvent. We're still good. People are freaking out because they think that these
00:39:32.580 subprime mortgage bonds are never going to be worth anything. They're wrong. They're still
00:39:37.060 worth something. You should lend us more money. So the ability of the people who are inside a
00:39:43.980 bubble to engage in self-deception and self-delusion is virtually unlimited. And that
00:39:49.080 creates a real danger that even after the bubble bursts, more people will put money into it.
00:39:55.860 And usually the last suckers are the people who are least aware of what had been happening before.
00:40:01.620 And that's why it's so scary that Americans 401ks might be about to get exposed to this stuff because they are the ones that are kind of haven't been maybe paying attention as much to the balance sheets of these companies and could easily get sucked into it even as, you know, the rug gets pulled out from under the industry.
00:40:22.780 That was a fun fact.
00:40:23.940 i i guess fun yeah you have a different definition of fun than i do matt interesting i should have
00:40:30.600 said interesting uh yeah i know the 401k stuff is terrifying especially uh with the spacex ipo
00:40:37.760 and all that but you and i oh god you know what we're not gonna do that particular one right now
00:40:43.080 because you and i have a separate thing we're we're working on about that uh which uh i didn't
00:40:49.800 say that and we might yeah long story short if you know everybody who's listening if you have a 401k
00:40:55.960 make sure that it's invested in funds that are not exposed to spacex that's that let's let's just say
00:41:01.560 that definitely true okay so i'm gonna be really annoying for a second here um or maybe more than
00:41:10.640 a second depending on on your opinion of me um you didn't really answer my question you explain
00:41:17.920 that we don't know when bubbles end you explain people's capacity for self-deception but you
00:41:22.060 didn't actually tell me okay what does it look like if this bubble pops in the next six months
00:41:26.900 or or if it pops a couple years from now so i'll give you best case scenario worst case scenario
00:41:34.140 uh best case scenario i think that there's still a chance that if it pops tomorrow or today that
00:41:41.700 it looks like the the dot-com bubble okay you know when the dot-com bubble burst there was a
00:41:47.200 mild recession you know obviously people who lost their jobs during that recession it did not feel
00:41:52.700 mild but in the grand sweep of history the bursting of the dot-com bubble was not like 2008 1929 or
00:41:59.840 1873 um there was another similar situation actually in the mid-1960s you know where stock
00:42:07.380 prices got kind of wildly out of proportion and things kind of settled down. A lot of investors
00:42:16.060 lost their shirts, but the economy as a whole kept going. The things that would be necessary
00:42:20.760 for that to happen are probably, again, you would need to, it would be nice if a couple of the
00:42:27.520 smaller players started collapsing so that people could see the writing on the wall before the big
00:42:32.220 fish started to collapse. And that's kind of what happened with the dot-com bubble. You had
00:42:36.980 well, you know, global crossing and, you know, is maybe the most famous.com. You're a company
00:42:43.020 that just went totally bust based solely on too much speculative debt building up,
00:42:48.320 but gold global crossing was not a fortune 10 company. And the fortune 10 companies from the
00:42:54.940 dot-com year, like Cisco and Microsoft and those other companies, they're still around.
00:42:59.300 they survived their stock prices went down but they you know so the best case scenario would
00:43:05.580 be something like that i think that that is highly unlikely because there's so much more
00:43:10.620 debt that has built up today but there is a pathway where you know like again if regulators
00:43:18.960 were kind of doing their job and you could find ways to ring fence the debt so that private equity
00:43:25.120 funds that are exposed to it, they kind of get wiped out. But the commercial banks, I think that
00:43:31.400 there's still a path that you can kind of save the commercial banks from being too deeply exposed to
00:43:37.240 this. And maybe just barely the biggest AI and tech companies could hang on. So that's kind of
00:43:47.100 the best case scenario. Like I said, I do not see with the amount of debt that has built up at that
00:43:53.740 point. I do not consider that to be the most likely scenario personally. Well, and also the
00:43:57.740 current administration is unlikely to engage in the necessary kind of regulation, but yeah.
00:44:03.340 That's exactly right. You know, what I think is the worst case scenario would be
00:44:10.820 basically a lot like 1929. That's why I said party like it's 1929. 0.56
00:44:15.740 um because what happens when there are all these negative feedback loops right now we are
00:44:23.600 experiencing in a lot of these markets what are essentially positive feedback loops the ai
00:44:28.580 companies like microsoft and alphabet and nvidia they keep releasing these blockbuster earning
00:44:34.620 statements those earning statements give people confidence that they can give more money into the
00:44:40.520 companies that are part of the AI bubble, which makes their profits go up even more because
00:44:45.900 there's even more money that's like flowing through this system. And on top of that,
00:44:51.420 people see their 401, not just their 401ks, but especially rich people see their asset,
00:44:57.700 their portfolios go up in value. They can spend more money on all of the things that people spend
00:45:03.780 money on, whether it's, you know, consumer goods, whether it's investing in new businesses,
00:45:08.700 whether it's in hiring more workers in their current businesses, we're experiencing all those
00:45:13.900 positive feedback loops right now. The problem is when those go into reverse, and then those
00:45:19.360 positive feedback loops become negative feedback loops. That's what happened in the aftermath of
00:45:24.940 the stock market crash of 1929. People saw their portfolio values going down. They had to sell
00:45:31.200 their stock sometimes in order to just meet margin calls when their stock went down. They had to
00:45:38.340 sell stock in order to pay their bills, in order to meet their debts. The people who'd been hired
00:45:43.980 during the previous years, they got laid off. When those laid off people are out of work,
00:45:48.420 they don't spend as much money. So the economy starts tanking. And that's kind of the slow,
00:45:54.580 you know, it didn't happen all at once after 1929. Over the course of the following three years,
00:46:00.180 though, it just became apparent that there wasn't enough substance holding up the rest of the
00:46:05.880 economy to keep it going when the bottom got pulled out from the stock market. That's what
00:46:12.860 I'm worried about would happen if there's an AI crash, that all of these other weaknesses that we
00:46:18.180 see in the economy right now, where there's so much wealth that is just tied up in a relatively
00:46:24.800 small number of companies and in a relatively small number of centibillionaires. We've never
00:46:30.860 had a situation where, again, this much wealth has been tied up in the stock market before,
00:46:38.000 and this much debt has been tied to a single industry before. I really do worry that if
00:46:45.840 it goes down, you would see something like the slow deterioration that happened after the 1929
00:46:53.580 stock market crash, where the banks don't necessarily go under right away, but over time,
00:46:59.800 the economy is revealed as being so fundamentally weak underneath it that there's the recovery that
00:47:07.940 people kind of keep holding their breath for doesn't materialize. So that I think is the
00:47:13.860 worst case scenario. And I do worry that it is getting more likely every day that goes by
00:47:19.540 where we see the S&P 500 hitting another new high, but the underlying revenues that are going to
00:47:28.520 need be needed in order to ultimately pay the bills that are mounting up for these companies
00:47:32.340 are not actually materializing. You know, you're reminding me of something that I saw a lot of
00:47:39.860 people say during the wildest heights of the crypto bubble, which was, uh, and, and shortly
00:47:46.700 after it, you know, started coming back down, which was that, you know, the crypto bros were
00:47:51.360 speedrunning the history of economic and banking fraud and learning about, you know, why the
00:48:01.180 regulations that exist exist. What I'm hearing from you now is sort of like, okay, and now the
00:48:07.060 AI bros have found a way to do that same sort of speedrun of history repeating itself this time as
00:48:15.460 farce, but for the 1929 crash. And everybody has been calling this the second Gilded Age.
00:48:23.740 And one of the things that I've drawn hope from is that the Gilded Age was followed by the 0.62
00:48:28.720 Progressive Era. And you are sort of making a case for, well, maybe the second Gilded Age is
00:48:34.260 going to be followed by something more like a second New Deal era, because we might have a
00:48:39.880 second great depression so on that cheerful thought uh although you know a second new deal
00:48:46.220 sounds pretty good but let's talk about bailouts there is going to be a call for bailouts there
00:48:53.760 was a call for bailouts in 2008 as you note in your paper this is not only a bad idea um you know
00:49:00.960 for the world but it was also a bad idea politically it was wildly unpopular for the
00:49:05.140 government to give handouts to the largest companies and the wealthiest people in the world.
00:49:11.100 What should we do differently this time? When this bubble pops, how do we keep there from being
00:49:17.240 bailouts for these companies? Because they're, as you note in your report, they're already starting
00:49:23.380 to make noises about there being a bailout, you know, a need for a bailout if something like this
00:49:28.320 happens, that, you know, there's going to be a government backstop, that if the government
00:49:32.440 doesn't provide that backstop, then we'll lose in the race to AGI with China, which is another
00:49:38.700 narrative that I want to just stamp on a whole bunch until it's dead, because it makes no 0.96
00:49:45.960 goddamn sense. And we're going to have to do an episode about that one at some point. But anyway, 0.86
00:49:51.180 tell me about how do we stop bailouts? Number one, I think that the energy that has arisen
00:50:00.620 around the data center protests, it gives me some hope. I had a line about this in my report.
00:50:08.000 I think that I said something to the effect of, if policymakers spend gargantuan amounts of money
00:50:13.620 bailing out a deeply unpopular industry because it overspent on deeply unpopular infrastructure,
00:50:19.360 it would be deeply unpopular. So the first thing is to just appeal to policymakers' sense of
00:50:25.320 self-preservation. I think that if there were a bailout of the AI sector, rather than steps to
00:50:33.280 make sure that ordinary people retain their economic security in the wake of a crash,
00:50:38.560 that if you thought that the Tea Party and the Occupy Wall Street protests were kind of an
00:50:46.120 impressive social movement after the 2008 financial crisis, you ain't seen nothing yet.
00:50:51.960 So I think that people need to start making noise about that, both appealing to the it's the right thing to do and also appealing to policymakers' sense of self-preservation.
00:51:03.380 But lastly, a bailout would be futile.
00:51:06.840 There is not enough money that the U.S. government could print to backstop this bubble if it bursts.
00:51:15.640 the tarp bailout in 2008 was about 800 i want to say 800 billion dollars i think was the final
00:51:23.260 figure adjusted for inflation call it about a trillion even today i've done some kind of back
00:51:30.700 of the napkin math even just accounting for the amount of likely toxic data center debt
00:51:38.320 that would go bad in the wake of a that would be left behind in the wake of a crash you're talking
00:51:45.480 double that, probably. And that's not even counting, again, the effect of just people
00:51:53.060 feeling poorer in the wake of the stock market, the biggest, most overvalued stock market in
00:51:58.160 history crashing. Just to backstop the debt, the bad debt, would cost probably double as of today,
00:52:07.360 again, back in the napkin math, as it did in 2008. I just don't think that there's enough.
00:52:12.100 And as you may recall, when the Iran war started and when the Liberation Day tariffs happened, bond investors were not nearly so eager to buy U.S. dollars and U.S. treasuries in the past year when the U.S. started to hit economic uncertainty as they have been in past crises.
00:52:34.820 Even in the COVID pandemic, everybody just piled into buying U.S. treasuries because that was considered the safest asset.
00:52:42.100 If there's an AI crash, I don't think that the government will be able to print enough
00:52:47.780 dollars and issue enough treasuries that people would want to buy in order to stop the spiral
00:52:56.120 from happening.
00:52:56.880 That was something that I didn't really get into in the no bailouts report.
00:53:04.160 But frankly, that was because at that point, even I did not have a good glimpse into just
00:53:08.740 how much debt had built up already in this system so maybe reason number one for not doing a bailout
00:53:17.720 is you don't want to fucking throw good money after bad pardon my french and that's what it
00:53:22.680 would be doing okay that's a pretty grim note but we gotta wrap this up i'm afraid um but i but i 0.95
00:53:31.260 also think that there's some hope in there that we actually could stop an attempted bailout because
00:53:37.920 i agree it'd be wildly politically unpopular and i also take great hope from the movement against
00:53:45.520 ai data centers i want to ask you two quick questions before we wrap it up um that aren't
00:53:53.200 about any of this because we're trying a thing where we end most of the episodes of the show
00:53:59.100 with with these questions first of all what's a piece of science fiction that you really enjoy
00:54:07.640 maybe something that you've enjoyed lately or an all-time favorite something like that
00:54:11.520 um you strike me as a sci-fi guy i am i was thinking about uh when you were asking the
00:54:19.360 question of um when the bubble would burst i was thinking actually about one of the last lines in
00:54:23.980 Star Trek Deep Space Nine where Cisco says something to the effect of maybe in a year
00:54:29.100 maybe tomorrow you know maybe in a thousand years maybe yesterday okay okay so you're a Deep Space
00:54:38.920 Nine fan hell yeah you are oh Deep Space Nine is my favorite oh my god but also The Expanse is
00:54:47.380 probably um the the expanse i it's interesting once i read the expanse other sci-fi has been
00:54:56.000 like almost a little bit less interesting to me because i feel like the expanse is much more
00:55:01.460 naturalistic they they seem to have a not just like kind of a greater desire to we're not going
00:55:09.480 to pretend that you can travel faster than light but also it kind of delves deep into what if our
00:55:16.700 kind of current neoliberal economic structure continues far into the future. What does that
00:55:24.300 world look like? And because the effects of the neoliberal economic and political structure
00:55:32.060 occupy my day job so much, that lens of the future has really grabbed me.
00:55:37.940 You know, it's funny. I watched maybe about a season and a half or two seasons of the TV show
00:55:43.800 and kind of bounced off it,
00:55:44.980 but I've been wondering
00:55:45.600 if I might like the books better.
00:55:47.680 I went through the entire series
00:55:49.000 and then I started reading the books.
00:55:50.620 I am currently waiting for the seventh one
00:55:53.640 to become available at my local library
00:55:56.580 for me to borrow.
00:55:59.000 And I'm reading Don Quixote in the meantime.
00:56:01.100 Whoa, okay.
00:56:02.120 Very different kind of fiction.
00:56:04.420 I'm going to finish with one last question here
00:56:06.840 and you've sort of already answered it in a way,
00:56:10.140 but what are you hopeful about these days?
00:56:12.840 I read a book recently called The Public and Its Problems by John Dewey. You're nodding your head,
00:56:20.240 99.5% of people would be saying who? Okay. The Public and Its Problems was written in 1927,
00:56:26.340 so almost exactly a century ago. And it was about how is it that we can create a society where our
00:56:36.300 government is more responsive to the people in a time of rapid technological and social change?
00:56:41.100 like that was the entire thesis of it and there was one line in particular that stood out to me
00:56:47.820 i actually like tried to find it but it was something to the effect of we create all these
00:56:53.660 machines and we become beholden to them not because the machines have a will of their own
00:57:01.160 but because we do not and the point that he was making and i know that that doesn't sound hopeful
00:57:07.620 But the point that he was making and the reason that it, that I do have hope is that I think that people figured out that the technologies of that time in the new deal era, they figured out that the technologies of that time and the businesses that controlled them did not have to control us, that we could use them as a means to better our own lives and better our society.
00:57:34.220 And for a time, for about 40 or 50 years, we created a society that is imperfect as it was, at least was not dominated by a few large corporations and billionaires in the same way it had been before.
00:57:52.260 and that brought decades of relatively constant economic progress and gradually improving social
00:58:01.920 conditions for people as well. And I think that John Dewey is somebody that everybody should read
00:58:08.640 because he kind of, in my view, he saw that the fight for building a better society, it's not
00:58:16.180 just a marathon, it's an Ironman. It's a long sweep of history. But if you're patient and you
00:58:22.200 have faith in ordinary people, in their ability to take agency for themselves, that you end up
00:58:31.080 with a better society. So that's what I'm taking hope from. Well, I don't think we can find a
00:58:35.480 better place to end it than that. So Matt, thank you for making the time. This has been a great
00:58:40.600 conversation and we'll have to have you back sometime to talk about Deep Space Nine. Or our
00:58:45.700 Prospective musical theater experiences.
00:58:47.660 Oh, my God.
00:58:52.040 Well, Matt, thanks again for joining me on the show.
00:58:56.680 Thanks very much for having me, Adam.
00:58:59.740 Thanks again to this week's guest, Matt Scherer.
00:59:02.480 Join us next week.
00:59:03.480 And in the meantime, don't forget to check out our Patreon.
00:59:08.700 To submit questions for future guests and to suggest other guests
00:59:13.140 and to see more pictures of Babka,
00:59:16.300 join the conversation on Patreon.
00:59:18.440 You can also find us on YouTube,
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00:59:26.660 or just find us wherever you get your podcasts.
00:59:30.100 Dreaming Against the Machine
00:59:31.140 is a proud member of Multitude Productions.
00:59:33.640 Our executive producer is Nick Carissimi.
00:59:36.940 Our theme music is by Jared Emerson Johnson.
00:59:39.960 Our show logo is by Nick James.
00:59:42.680 And our fearless leader is Babka, the greatest cat in the observable universe.
00:59:47.540 I'm Adam Becker, and I'll see you next week.