Henry Blodget on the Software Selloff Hysteria and the Problem for OpenAI

7 Mar 2026 · 45 min · 24 chapters

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```markdown Odd Lots Podcast Episode Summary

Episode Title

Henry Blodget on the Software Selloff Hysteria and the Problem for OpenAI

Episode Description In this episode, recorded live at the On Air Podcast Festival in Brooklyn, hosts Joe Weisenthal and Tracy Alloway catch up with Henry Blodget, former Wall Street analyst and current CEO of Regenerator. The discussion centers around the hype and reality of AI valuations, particularly in light of a recent market selloff of software companies and the challenges facing OpenAI.

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Key Themes and Discussions

  1. Market Sentiment on AI Valuations
  2. Shift in Narrative:
  3. Last year, discussions focused on the overvaluation of AI companies.
  4. Currently, the sentiment has flipped, leading to fears that AI could render legacy software companies worthless.
  1. Current State of AI and Software Companies
  2. Historical Comparison:
  3. Blodget compares the present AI landscape to the internet's emergence in the 1990s, emphasizing the uncertainty surrounding valuations.
  4. Predictions range from doom scenarios (mass unemployment) to the notion that AI is merely a new interface for existing software.
  1. OpenAI's Valuation Concerns
  2. Rising Valuations:
  3. OpenAI's valuation has ballooned from $300 billion to $800 billion, raising questions about its sustainability given its current profit-loss status.
  4. Economic Viability:
  5. The discussion highlights the challenges OpenAI faces in generating revenue while managing high operational costs.
  1. Market Reactions to Predictions
  2. Impact of Commentary:
  3. A thought piece predicting economic doom due to AI led to significant market reactions, illustrating the volatility and sensitivity of the current market climate.
  1. The Role of Software Companies
  2. Future of Software:
  3. Blodget argues that software companies won't disappear but will undergo significant changes due to AI.
  4. Emphasizes the importance of accountability in software companies compared to AI-generated solutions.
  1. Historical Context and Future Predictions
  2. Job Creation vs. Job Loss:
  3. Reflects on historical transitions where technology displaced jobs but ultimately created new opportunities.
  4. Raises skepticism about the assumption that AI will lead to mass unemployment.
  1. The Value of Trust in Media and Information
  2. Brand Credibility:
  3. In the age of AI-generated content, the credibility of established news outlets is vital.
  4. Discusses the importance of having reliable sources in an era of information overload.
  1. The Future of Journalism and AI
  2. AI's Role in Newsrooms:
  3. Blodget suggests that AI can enhance productivity in journalism by assisting with research and drafting, but human oversight remains crucial.
  4. Adaptation Strategies:
  5. Newsrooms must innovate and adapt to maintain relevance in a rapidly changing media landscape.

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Key Takeaways

  • Caution on AI Hype: The episode warns against both extremes of AI hysteria and encourages a balanced perspective on its potential and limitations.
  • Valuation Scrutiny: Continuous examination of AI companies' economic models is necessary; high valuations must be justified by real revenue and profit.
  • Media's Evolution: The podcast underlines the necessity for media organizations to pivot towards subscriber-focused models, leveraging their brand trust to navigate the challenges posed by AI.

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Conclusion This episode of Odd Lots provides a nuanced examination of the current landscape surrounding AI, software companies, and the broader implications for the economy and media. Blodget's insights highlight the complexity of predictions in this uncertain environment and the need for a balanced approach to the evolving realities of technology and journalism. ```

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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The Challenges of Business Software

0:00 to 0:14

Exploring the complexities and inefficiencies of current CRM systems.

“Running a business means dealing with a lot of overly complicated software, and most CRMs tend to follow the same pattern.”

AI's Impact on Markets and Media

2:51 to 4:25

Discussion on AI's growing influence in various industries, including finance.

“The hosts of Odd Lots are Joe Wiesenthal and Tracy Alloway.”

The Fluctuating Narrative of AI Valuations

4:25 to 6:43

Analyzing the shift in perceptions regarding AI company valuations and their future.

“All right, Henry, thank you so much for coming back on OddLots.”

Market Reaction to AI Predictions

6:43 to 9:32

Exploring how AI-related predictions can drastically affect market behavior.

“which is when we're in this really uncertain time, you can go from sort of euphoria to doomerism very, very quickly.”

Job Market Dynamics in the Age of AI

9:32 to 11:28

Debating the future of jobs as AI technology continues to evolve.

“Companies that are not in the software business are not going to suddenly say, oh, let's have a junior person who understands AI build all our software for us.”

AI's Network Effects Compared to Tech Giants

11:28 to 14:05

Discussing the differences in network effects between AI and established tech companies.

“get the other side, which is how many new jobs are going to be created.”

The AI Landscape: OpenAI vs. Google

14:05 to 17:15

Explore the competition between OpenAI and Google and the evolving AI landscape.

“Whereas after the first time I used Google in 2000, I never used Yahoo again.”

Evaluating OpenAI's Valuation and Economics

18:56 to 21:46

Discuss the financial challenges and valuation concerns regarding OpenAI.

“So how does that actually translate into a working business model?”

The AI Bubble and Market Trends

21:47 to 23:41

Analyze the current AI market bubble and the potential risks involved.

“OpenAI has to raise it in the open market.”

The Shift in Capital Markets for Tech Startups

23:41 to 26:20

Understand the changes in capital markets impacting private tech investments.

“I want to ask you a question about capital markets and how they're different to the late 90s or the dot-com bubble.”
Show all 24 chapters

Experiments in AI Newsroom and Backlash

27:38 to 28:01

Discuss the challenges and reactions faced when experimenting with AI in media.

“All right, let the media navel gazing begin.”

Starting a New Venture

28:01 to 28:34

Henry Blodget discusses his transition to launching his new podcast and business.

“Basically what I did, I left business inside or I started this new thing, Regenerator, and a podcast too, trying your business.”

AI in Media: Experimentation and Challenges

28:35 to 29:29

Blodget shares his experiences experimenting with AI in media and the associated ethical dilemmas.

“I mean, boy, there are a lot of great articles written every day.”

Navigating Newsroom Dynamics

29:30 to 30:24

The conversation shifts to the challenges faced by newsrooms amid technology advancements.

“If you had had a human editor for that piece, do you think you would have complimented your AI-generated managing editor on her appearance?”

The Evolution of Media Consumption

30:25 to 31:46

Blodget reflects on the changing landscape of media consumption and its implications for the industry.

“I think let's look at what's going on in media.”

AI's Impact on Quality and Distribution

31:47 to 33:42

The discussion centers around how AI could affect media quality and distribution channels.

“It was really - Don't say it's 20 years ago, by the way.”

The Future of Newsrooms with AI

33:43 to 36:12

Blodget elaborates on how newsrooms can leverage AI for productivity without losing journalistic integrity.

“it feels to me like people are talking about two paths here.”

Challenges of News Reporting in the AI Era

36:13 to 39:20

The challenges of news reporting in the face of AI and commoditization of scoops are discussed.

“And so going back to your question, which I realized I didn't even get to before.”

The Constant Demand for Quality Media

39:21 to 41:18

Blodget discusses the enduring need for quality media despite the rise of AI-generated content.

“are going to have a huge advantage because it is going to be worth subscribing to them.”

Corporate Speech and Leadership Dynamics

41:19 to 42:00

The conversation explores the current environment for CEOs regarding free speech and corporate responsibility.

“And then they would call the rewrite desk and then they would like translate it into like tabloid speak.”

Corporate Timidity and the Power Dynamics

42:00 to 43:32

Explore the current mindset of CEOs in relation to political pressures.

“Because he's not even that popular anymore.”

Business Insider's Evolution and Media Strategy

43:32 to 45:02

Learn how Business Insider adapted its pitch and strategy over the years.

“looking out for their companies and their teams and their shareholders.”

The Journey into Subscriber-Based Media

45:02 to 47:08

Discover insights from transitioning into subscriber-focused media.

“wishing AI would go away is not a great strategy.”

Writing Novels Amidst AI Advancements

47:08 to 48:38

Hear about the challenges and joys of writing novels in an AI-driven world.

“And then when I publish it for real, it may well have benefited from your reading anyway.”
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Transcript

Automatic transcript. May contain errors.

0:00Tracy Alloway:Running a business means dealing with a lot of overly complicated software, and most CRMs tend to follow the same pattern. They're packed with endless features you'll never use, interfaces that feel clunky, and teams end up spending way too much time just trying to find basic information. Today's sponsor, Pipedrive, is a simple CRM tool designed for small and medium businesses. Pipedrive brings you entire sales processes into one dashboard, giving you a crystal clear, complete view of sales processes and customer information designed to help teams stay in control and close more deals faster. It all centers around the visual sales pipeline, where you can see every deal, what stage it's in, and what needs to happen next.

0:35Tracy Alloway:Since everything is in one platform, PipeDrive is designed to unite your team, keep track of sales tasks, and stay on top of your leads. Switch to a CRM built by salespeople, for salespeople, and join the over 100 ,000 companies already using PipeDrive. Right now, you'll get a 30-day free trial. No credit card or payment needed. Just head to pipedrive.com slash simpleCRM to get started. That's Pipedrive.com slash SimpleCRM.

1:26Joe Weisenthal:lifestyle, people, and culture. On Saturday mornings, we put the past week's events into context, examining what happened in the markets and the world. Then on Sundays, we speak with journalists, columnists, and key political figures to prepare you for the week ahead. Join us as soon as you wake up and bring us with you wherever your weekend plans take you. Watch us on Bloomberg Television, listen on Bloomberg Radio, stream the show live on the Bloomberg Business app, or listen to the podcast. That's Bloomberg this weekend, Saturdays and Sundays starting at 7 a.m. Eastern. Make us part of your weekend routine on Bloomberg Television, Radio, and wherever you get your podcasts.

2:10Henry Blodget:Bloomberg Audio Studios. Podcasts. Radio.

2:14Joe Weisenthal:News. Hello, hello, hello. Welcome to On Air Fest 2026. Thank you so much. I'm Kristen Meinzer. I'm your emcee for the day. And in case you don't know who I am, I'm a podcaster. I'm a royal watcher. I'm a culture critic. I've been very busy over the last week with some royal news you may have heard of. So you may know me from those things. But today is not about me. It is about the fantastic talent that is going to be on this stage. And at this festival, let's get to our first live taping of the day, Bloomberg's Odd Lots podcast. The hosts of Odd Lots are Joe Wiesenthal and Tracy Alloway. Please welcome them to the stage along with their very special guest, Henry Blodgett.

3:01Joe Weisenthal:Thank you so much. Welcome to the stage.

3:11Tracy Alloway:Thank you so much. And hello and welcome to a live episode of the Odd Lots podcast. I'm Joe Wiesenthal.

3:17Joe Weisenthal:And I'm Tracy Alloway.

3:18Tracy Alloway:Tracy, we're definitely not going to do this, but it definitely feels like almost every episode could be about AI these days, right? Like it's just touching. So all the things we talk about are slowly getting subsumed into this topic that we're not going to do it, but we probably could.

3:33Joe Weisenthal:It's not just that every episode could be on AI. It's that every episode could probably be made by AI at this point, right? And in fact, we've had a few people last year. I remember there were a few people who made AI generated episodes of the podcast and they weren't that bad. And I have to think if they did it today, they would be even better.

3:50Tracy Alloway:It would definitely be better. Anyway, not better than us, but they would be better than they were a year ago. I'm not so sure. They'd be better than they were a year ago. Anyway, so we have to talk about AI and what it's doing to the market, finance, economics, et cetera. And of course, we have to talk about what it means for us in the media industry. And I'm very excited to say we do have the perfect guest. We're going to be speaking here with Henry Blodgett, the CEO of Regenerator. He used to be my boss when I was at Business Insider, someone who has a background in both media and, of course, Wall Street and finance, so the perfect person to talk about all the different dimensions.

4:25Joe Weisenthal:Truly the perfect guest.

4:26Tracy Alloway:All right, Henry, thank you so much for coming back on OddLots. Thank you for having me. So the last time we talked to you was in May of last year, and the theme then was everyone was talking about, here are these huge valuations for AI companies. How could they possibly be justified? And that was an interesting conversation. And it feels like the narrative has now flipped 180 degrees where it's like, these companies are so powerful, they're going to destroy every other company in their wake. And every software company and payments provider, et cetera, has been like plunging really since the start of the year.

4:58Tracy Alloway:How have you updated your views? Where are you now versus where you were in, say, May?

5:02Henry Blodget:We are early in the development of the industry. This looks a lot like the internet in the 1990s. for those of you who remember, basically when you have a huge opportunity like this, early on, you can have a huge range of reasonable predictions about what is going to happen. And here we, one day it's catastrophe. None of us are ever going to have a job again. Everything's going to crater. Other days, hey, it's just a fancy word processor. No worries. OpenAI is way overvalued. I will say that since we talked last, I believe that we were aghast at the OpenAI $300 billion valuation. I believe the latest one is$800 billion.

5:40Henry Blodget:So we're climbing. But there are other companies out there that are worth many times that. So if one does think that AI is going to take over the world and OpenAI is the Google of the AI era, which is the thesis, which I think is very misguided that we can get into, then one can imagine that a company might be worth many multiples of some of the companies that are out there.

6:00Joe Weisenthal:So one of the crazy things that happened this week, speaking of AI and media, is there's a guy, we've had him on the show, James Van Geelen, aka Citrini. He runs a hedge fund, also publishes an investment newsletter. He basically wrote a doom case scenario of the year 2028, where everything had become AI. And because everything was AI, no one had any jobs, no one was actually buying anything in the economy. And we basically had an economic and financial crisis. When I read that piece and then saw the market reaction to it, so stocks fell pretty dramatically and people were attributing it to basically a newsletter that was a thought piece.

6:41Joe Weisenthal:I thought that was kind of insane. And it speaks to what you just said, which is when we're in this really uncertain time, you can go from sort of euphoria to doomerism very, very quickly.

6:51Henry Blodget:Exactly, because it's all predictions. We're all looking into the hazy future saying, how big is it going to be? These small changes in your assumptions make a huge difference in the current value. I will say, because that research report was both heralded and pilloried, this is exactly what you want analysts to do. You want them to look out and take a strong position and say, here's what it can look like. And I thought it was a fascinating report. I will point out that even though, as you just characterized it, that this is economic Armageddon. One of the first sentences of the report says 10 % unemployment, which means 90 % employment.

7:28Henry Blodget:Most of us still have a job. And yes, there are changes in industries, but most of us are still working. So I was surprised after hearing about, it just predicts catastrophe that I picked it up. It's like, well, no, it predicts a big technology change that sometimes takes the economy a while to digest, but not Armageddon.

7:48Tracy Alloway:What do you think though it says like about the market right now? I mean, and it's kind of an interaction of a market story in a media story, because here's a sub stack piece that really did seem to move the market quite a bit on Monday, right? Yeah. What does it say about the market environment that people, because it's all year, right? The software, the software stocks have been getting clobbered all year and our AI agents, and maybe we'll get into that, going to somehow make it so we don't need to buy regular business software anymore. I don't totally understand that, but this has been the fear all year.

8:18Tracy Alloway:What does it sort of say about the market slash media environment that a sub stack piece like this could just go absolutely mega viral like that and move the market?

8:26Henry Blodget:Everybody is twitchy. Valuations were high to begin with. We're all reevaluating our views every day saying, am I crazy thinking it could be this? Maybe I'm crazy. I have to panic a little bit. So we've seen stocks roll over. The multiples are compressing a little bit. Again, so far from Armageddon. It's people saying, okay, there may be some change here. And to your point, the big bear case now is that, oh my goodness, Claude Code is so good. No one will ever buy software anymore. You'll just say, hey, make me the software. Yeah. I've done that. Yeah. You have, you're a big experimenter, but I would say you were probably not spending billions of dollars on enterprise software before.

9:07Henry Blodget:I don't know, like, I don't know, like thousands of people

9:09Tracy Alloway:on my payroll who are like, they need to get it at Friday. You know, exactly.

9:13Henry Blodget:Who depend on this. And one of the nice things about having a company standing behind a product is you actually can hold them accountable for it. And maybe Claude Code doesn't make your enterprise software the way you want. Somebody doesn't get paid. So as I hear that, to me, that is hysteria. I don't understand it. Software companies are not going away. Companies that are not in the software business are not going to suddenly say, oh, let's have a junior person who understands AI build all our software for us. It is not going to happen. But overall, big changes coming, lots of disruption. Do we know for sure what that's going to do to profits of these companies and changing the economy?

9:52Henry Blodget:We do not. And that is called the discount rate getting higher. It feels riskier. And on that day, Monday, everybody was feeling suddenly risk averse. Today, I'll point out as we tape, everyone's saying no problem, off to the races again.

10:07Joe Weisenthal:You've obviously lived and been very active and influential in a previous technological, I guess, cycle of disruption. What do you think people are getting wrong here, especially on Wall Street, when it comes to their approach on this particular one, AI versus dot com?

10:23Henry Blodget:I think this goes way beyond Wall Street. I think there really is a big camp still, and the case gets made and then it gets tamped down and then it comes back even more strongly, that there really will be no jobs for humans anymore. And what I would say to that is I think the bigger risk with AI is actually that somebody invents an agentic system that actually gets out in the world and does a lot of damage. I think that is a bigger risk. If you look at technology job transitions over time, like the big one, which is agriculture to industrial. 200 years ago, 93 % of us worked on farms. Now it's 2%.

11:03Henry Blodget:That's a big transition. And yet all through that, the number of jobs grew. And same thing with things like telephone operators, with steam engines. You look at any piece of it, there is disruption and pain. And I'm not minimizing that for the people whose jobs are changed or disrupted by it. But the economy overall, so far in history, has gone on to create a lot more jobs. And so when you see the lay waste to jobs predictions, you don't also often get the other side, which is how many new jobs are going to be created.

11:35Joe Weisenthal:Well, this is exactly what I wanted to ask you, because we hear that all the time during technological advancement cycles, new jobs are created. But I think the difficulty with AI is that it's hard to see what those new jobs are going to be. Yeah. Like, what are we better at than a supercomputer that can code a program or write an article in less than a minute.

11:56Henry Blodget:Or mimic a voice and do a podcast. OK, so how are we? Three years in at this point? These job doom predictions started 20 minutes after ChatGPT came out. Where are we? Maybe a little bit at the margin. We're seeing something maybe, but maybe it's still that companies way overhired after the COVID boom and are now sort of right sizing themselves. as you say, I can go into LLM, I can go to Google, I think it is, drop in a topic and say, make this into a great odd lots podcast. Yeah.

12:29Tracy Alloway:Some people have said that Google, multiple people think that Google's notebook LM, which does that, creates a podcast out of a document. Multiple people have said they trained this on Joe and Tracy. Like this sounds like an odd lot.

12:41Henry Blodget:Other people are claiming that too. But yes, they could have. I'm just saying, you guys continue to grow. All I hear more and more about is, oh, you got to listen to OddLots, growing, growing, growing, growing, growing. And I don't think we were talking earlier that you've radically changed the way you make the show. We're still recording it here. You didn't just queue up LLMs. Who is going to rush to do the big interview with Google? They're not. They're going to come do it with you guys because they love you and your audience loves you. So I'm just saying, even in something that seemingly looks so ripe to be destroyed, you guys cost money.

13:18Henry Blodget:Why is Bloomberg spending it? Why is it throwing it away, right?

13:22Joe Weisenthal:Are we going to have to defend our salaries on stage? I'm just saying, be more optimistic.

13:27Tracy Alloway:So, I mean, I hear both ways, and thank you for saying that. On the other hand, people might not have the same affinity for someone who does claims adjusted at insurance. They don't really care if they have the human touch for that or tech support. I want to ask a related question. It also relates to the piece that came out on Monday. And it relates to this question of whether OpenAI could be the Google of the next generation. One of the arguments that the piece stipulates, and I think it sort of fits with what I have observed, is that AI doesn't seem to have network effects in the same way. So it's like you could switch from ChadGPT to Claude with almost no issues, and it's just not an issue.

14:05Tracy Alloway:Whereas after the first time I used Google in 2000, I never used Yahoo again. That was the last time I'd ever used another search engine. This is one of the arguments in the piece, that there isn't going to be the same stickiness and network effects in the AI era in the way that defined the last 25 years of the internet. And so when you think about OpenAI versus Google, this era versus the dot-com era, does that resonate to you?

14:31Henry Blodget:I think that what folks who would say that open AI is the Google of the era would say that more and more you're going to build more of your life into it. It's going to know everything about you. It's going to be the switching costs are going to grow. But to this point, they have not. And I'll tell you the thing that really made me think they were in trouble. And I still think that, given the valuation and given the general consensus that they've already won, was when Google Gemini came out and people said, oh, it's better. They passed them. And all the bulls said, oh, just wait till the next version of OpenAI comes out.

15:05I will say, if you go back into the 1990s, Amazon was very controversial.

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15:10Henry Blodget:A lot of people thought it would go bankrupt. It's just a bookstore. Barnes & Noble is going to put them out of business as soon as they have a website or Walmart or whatever. Walmart and Barnes & Noble never got anywhere near Amazon. Amazon was so far out ahead always and still almost went bankrupt, by the way. But nobody was ever close. And in this case, less than two years after the product comes out, the incumbent has caught up. To me, that's when I said like, whoa, okay, maybe this actually is going to be like the internet, which is the first five years, all of us, including me, were saying like, oh, just buy the leaders.

15:48Henry Blodget:No problem. Like they're the ones that are going to survive. You know how many survived of that first 500 companies that went public in the 1990s? One went on to actually make investors a lot of money after the crash. That was Amazon. Two others that I know of, Cisco, after 25 years, finally got back to its stock price. eBay did okay for a while and then kind of sputtered out a little bit. That's out of hundreds and hundreds of companies. So I think it's very possible that, yes, AI is huge. It's a great idea. We all want it. And somebody is going to come along soon and do to OpenAI what Google did to Yahoo, which, by the way, Yahoo was the big search engine winner.

16:35Henry Blodget:And then Google destroyed it. So I just think it's way too early to say that OpenAI is the Google.

17:16Tracy Alloway:Thank you. crystal clear, complete view of sales processes and customer information designed to help teams stay in control and close more deals faster. It all centers around the visual sales pipeline, where you can see every deal, what stage it's in, and what needs to happen next. Since everything is in one platform, PipeDrive is designed to unite your team, keep track of sales tasks, and stay on top of your leads. Switch to a CRM built by salespeople, for salespeople, and join the over 100 ,000 companies already using PipeDrive. Right now, you'll get a 30-day free trial. No credit card or payment needed.

17:50Tracy Alloway:Just head to Pipedrive.com slash SimpleCRM to get started. That's Pipedrive.com slash SimpleCRM.

17:57Joe Weisenthal:You can get the news whenever you want it with Bloomberg News Now. I'm Amy Morris. And I'm Karen Moscow, here to tell you about our new on-demand news report, delivered right to your podcast feed. Bloomberg News Now is a short five-minute audio report on the day's top stories. Episodes are published throughout the day with the latest information and data to keep you informed. Yes, there are other products like this from a variety of news organizations. But they usually rerun their radio newscasts throughout the day. That's not what we do. We create customized episodes that can only be heard on Bloomberg News Now.

18:34Joe Weisenthal:And we don't wait an hour to publish breaking news. When news breaks, we'll have an episode up in your podcast feed within minutes. So you're always getting the latest stories and developments. Get the reporting and the context from Bloomberg's 3 ,000 journalists and analysts. We're all over the world. Listen to the latest from Bloomberg News Now on Apple, Spotify, or anywhere you listen. We started by mentioning the OpenAI valuation, which everyone was aghast at last year. Now, maybe not so much. But even if you assume a future where OpenAI or whoever comes in and disrupts every single industry and there are thousands of employees and companies that are paying$200 a month or whatever to access the new LLM, whatever the new model is, OpenAI, at least for right now, is still losing money on every customer that's like a power user.

19:26Joe Weisenthal:So how does that actually translate into a working business model?

19:29Henry Blodget:It's a good question. I think what the bulls would say is the cost of what they do is going to plummet. And so the lines are going to cross here pretty soon. If they own the whole market, suddenly they start to become incredibly profitable. We are not there yet. And I think when we talked last time at a$300 billion valuation, which everybody was horrified by at that point. But if you looked at the projections, the projections were three years from now, they'll do$100 billion of revenue. And if you, at that point, were looking at it saying, OK, if I believe that, then it's three times revenue. The economics will probably change.

20:05Henry Blodget:It starts to look a little more reasonable. Now we're at 800 billion. So it's a much bigger multiple. And you've got to actually have a much bigger revenue stream and profits. But that's the argument. I don't see it yet. I got to say, the economics are incredibly difficult for them. They seem brutal.

20:22Tracy Alloway:And there's another element, too. So obviously, unlike during the Web 2.0 era, where there was like cheap, plentiful compute, obviously, the capital expenditure budgets of these companies are just eye-watering. They're spending like crazy. there's also this other element that i think is interesting which is at least at a few of these labs like the people who found them are true believers like they think they're like they think they're on a mission to build agi is going to change everything build god build god right build the digital god and it's like they're not going to stop at anything they're not going to be like you know what it's pretty good let's tap the brakes we're pretty happy with how this model works you know i don't or at least i don't get that impression also they've couched it as this

21:03Joe Weisenthal:existential race. There's only going to be one company that dominates in the end. So the upper limit on spending to become that company is infinity.

21:13Henry Blodget:Yes. However, there is a limit to money. And when you look at when people are raising money, you watch where they're going for it. Sure, the VCs, that's one pool of money. And then the big strategics. And then the VCs who missed the first time and are feeling so embarrassed about it, they'll pay up to get in. Then it is the international phones that are watching all this stuff. Yeah, exactly. So at some point you run out of money. And we are talking about a company that is raising hundreds of billions of dollars just to keep the engine running and just to keep pace. This is the other problem. Google, Facebook, Microsoft are generating tens of billions of dollars of free cash flow every year that they can use to buy chips.

21:55Henry Blodget:OpenAI has to raise it in the open market. So if those economics don't start to change soon, they're going to run out of money.

22:03Joe Weisenthal:Joe and I were talking about this before we came on stage, but another thing that happened recently was there was a karaoke machine-making company that announced it was now an AI company, which when I see headlines like that, remind me a lot of the crypto boom, but also remind me a lot of the dot-com boom. And we are starting to see more and more of those. Wasn't there a toilet company recently?

22:24Tracy Alloway:Yeah, but the toilet one is legit. So like apparently, no, no, for real. So it was not like, oh, we're an AI company. Apparently it's this Japanese toilet company and they have some porcelain or something like that. It's very important for semiconductors or something. So everyone's like, oh, get out of the toilet business. You have this access to this material. So that one was kind of legit. The karaoke one.

22:46Joe Weisenthal:Okay, so the toilet one, maybe. The karaoke one, when you see headlines like that, what do you think? Do you think this is a rational pivot into a booming market and everyone should be experimenting with AI at the moment? Or do you think like, no, this is getting crazy?

23:00Henry Blodget:I think we are in a euphoric bubble period where we've just discovered this amazing new thing. Nobody knows what the future is. Nobody knows what's going to work. And we are effectively creating this enormous R &D lab, which is, hey, you can do something? Here's some money. Go out and experiment. I hope you'll be one of the winners. 50 to 100 years ago, All of that stuff happened in labs like Edison's lab or Bell Labs inside these big corporations. You never saw it. Now, everything is a startup. You see it. It's happening in front of you. But there's no question that most of the companies are going to fail.

23:39Henry Blodget:Happens again and again and again. And I think what investors are saying when they see that is, OK, that is a quick flip. It's, hey, I'll get it. Other people, a lot of people love AI. They'll buy it after I do. And it'll go up. And then I'll sell it.

23:50Tracy Alloway:I want to ask you a question about capital markets and how they're different to the late 90s or the dot-com bubble. Because one really big thing that's happening these days is, yes, these companies are private, but there is a lot of stock floating around. And there are these SPVs that will buy, acquire a chunk of, say, Anthropic and sell them on a secondary market. And people are trying to get, they're much more liquid than a private company would have been in the late 90s. I get, someone messaged me, they're like, do you want to buy a little? I'm like, no, I don't do that. But they're like, would you like to buy a little bit of Anthropic at a$350 billion valuation?

24:23Tracy Alloway:But you must get a bunch of those sort of messages from people. And I'm curious about your perspective on this world. Because the other thing is like, there's no financials. You have no idea like what their P &L is for these private companies. What's your take on some of this quasi-liquid private market stock? Yeah.

24:38Henry Blodget:And let us just say that when our phones are ringing, we are right at the end.

24:43Tracy Alloway:It's the last money out there. It's like if someone is reaching out to me, there can't be that much money.

24:50Henry Blodget:Big, big warning signs going on over there. So I think one of the things that changed versus the dot-com boom in the 1990s and before that is companies used to go public very early before. And you can invest in Amazon, for example, at a$400 million valuation. Sounds like a lot. It's worth trillions of dollars now. There's been incredible appreciation. Individuals can't do that anymore. And there's good reason for it. People lost a lot of money after the dot-com crash. We didn't like that. We want to protect everybody. So now companies go public a lot later, the threat of lawsuits and all of the different regulation that you've got to do.

25:26Henry Blodget:So it's later. But the bummer about it is a lot of investors who actually do have the risk tolerance can't access them. And so, yes, you've had a new business that has been built around, OK, let's get that private stock somehow. And the problem is, again, if you choose right, great company, it works, but it's more fees packed around it. That intermediary that called you has to get paid. So that's somebody else, it's more difficult to trade. So I think it is the market trying to solve the problem that it's much harder to make money in open AI at 800 billion or Anthropic at 350 billion than it is in And then seed round when it was a few hundred million.

26:09Henry Blodget:And so you've got a lot of people clamoring to get in, but it's the same problem. You don't even, in fact, less. When companies go public, they are releasing a lot of information, whereas these guys are not.

26:37Henry Blodget:I'm Barry Ritholtz, inviting you to join me for the Masters in Business podcast. Every week, we bring you fascinating conversations with the people who shape markets, investing, and business. CEOs, fund managers, billionaires, Nobel laureates, traders, analysts, economists, everybody that affects what's going on in the market, whether you own stocks, bonds, real estate commodities, crypto, you really need to hear these conversations. Sometimes it's behaviorists like Dick Thaler or Bob Schiller. Sometimes it's fund managers like Peter Lynch, Bill Miller, Ray Dalio. Sometimes it's authors, Michael Lewis, author of The Big Short, and Moneyball.

27:22Henry Blodget:Regardless of the conversation, these are the folks that move markets each week. That's the Masters in Business podcast with me, Barry Ritholtz. Listen on Apple, Spotify, or wherever you get your podcasts.

27:38Joe Weisenthal:Should we do some media stuff? Yeah, let's do some media. All right, let the media navel gazing begin. Okay, so we started out by saying that, you know, we were talking about the Citrini piece that got, it went viral, but it also got a backlash. You did your own AI newsroom experiment newsletter on Substack that also got a bit of a backlash. Were you surprised at that one?

28:01Henry Blodget:Yes, I was surprised. Basically what I did, I left business inside or I started this new thing, Regenerator, and a podcast too, trying your business. It's very difficult. How are you finding it? It's fun. It's good. This is the most important aspect of podcasting is plug the podcast. Yes, podcast called Solutions with Henry Blodgett. Check it out. Check it out. Yes, please. So I left and it was just me. So I said, okay, great. Let's see what it can do. Because if you try that as a CEO of a company, people freak out justifiably. Oh my goodness, They're going to discover something. My job's threatened.

28:30Henry Blodget:We are all worried about our jobs being threatened, including, by the way, do we need articles? Any more articles? I mean, boy, there are a lot of great articles written every day. In fact, this is the problem in media. There's way too much of it. Let's just get that out there. Anyway, so yes, I experimented with everything. And the first thing that I did was, oh, if I were actually starting a publication and hiring a team, who would I hire? Well, I'd hire five people. I have a managing editor, and I'd have a few reporters, and so forth. So I asked ChatGPT, can you help me? ChatGPT said, sure, let's make them.

29:01Henry Blodget:So in two hours, we made them. They all had different personalities. They had headshots, et cetera. I wrote this up. We had Slack going where we're all talking about stories, and it was pretty good. Not spectacular, but pretty good. And so that was cool. So I wrote about it, yes. I also made the mistake of complimenting one of the headshots and was immediately lambasted for that, which actually helped me hone my own AI morality.

29:29Joe Weisenthal:Wait, I have a question on this. If you had had a human editor for that piece, do you think you would have complimented your AI-generated managing editor on her appearance?

29:38Henry Blodget:The piece needed to be edited. This is the problem. You're out on your own. You don't have great editors protecting you anymore. You let your enthusiasm bubble over a little bit too much. You know who I have edit my stuff now sometimes if I feel like I'm maybe a little bit too enthusiastic, ChatGBT or Claude. And very good. Spots it. Anyway, yes.

29:59Tracy Alloway:Talk to us about that newsroom dynamic, particularly, you know, every editor at a newsroom, every newsroom right now is like trying to figure out something, right? And you can't like alienate the entire newsroom and say like, oh, you all have to be doing what? You all have to be vibe coders. Yeah, like that doesn't work. The newsroom obviously hates it. And I would say probably for good reason. But on the other hand, everyone has to be like figuring stuff out. What should newsroom executives, whether it's editors in chief or whatever, how should they be thinking about solving this problem?

30:31Henry Blodget:So, I mean, so going back to the other thing, the other thing that I learned from publishing that was just how much anxiety there is, especially in the younger generation about jobs that have been there for a long time that are just disappearing. And that was extremely clear to me. And I would have been even more. Yeah, I understand it. I mean, it is scary. And so what does a newsroom do? I think let's look at what's going on in media. The problem, again, is there's way too much media. There are so many amazing articles, for example, produced every day. When I opened the New York Times or the Wall Street Journal or Bloomberg, I want to read dozens of articles.

31:07Henry Blodget:I might get to one or two. And distribution has changed radically. Five years ago, Facebook, Google were driving enormous distribution to lots of different publishers. That is all now changing. We are going back to something that looks like the 1990s, where actually you have to have a direct relationship with your subscriber. The industry is under a ton of pressure, both from advertising, but also we have maximized the amount of time as humans that we can spend consuming media. This is very different from 20 years ago when we started Business Insider. You remember this. In the 1990s, media was very mature.

31:48Tracy Alloway:It was really - Don't say it's 20 years ago, by the way. That's like 30 years. I don't like to think about that. Yeah, you and me.

31:53Henry Blodget:Okay, but let's go back to the 1990s even further. Media was very mature. Magazines, totally mature, very hard to start one. You needed$50 million and you need to hire all these great people. And then maybe five years down the road, you might, if you're lucky, become profitable very hard, very hard to get into newspapers, television even worse. You're slave for a long, long time getting coffee. So very, very tough. Then desktops came along and got connected. So that was suddenly 12 hours a day that people are sitting in the office. They need to know what's going on. It's a new opportunity. Then phones came.

32:27Henry Blodget:And that's the thing that really drove Business Decider in the early years. We're standing around. We want to know what's happening. Nobody else is serving that. So big, big opportunity. But over time, all the folks in the industry caught up New York Times is terrific so is Wall Street Journal so Business Insider so is Bloomberg these companies are really really good at this now and if you just look at for example political coverage we don't need a hundred White House reporters we just don't and yet that's the thing that everybody's interested in so of course you're gonna have a reporter focus on that and yet there's just too much capacity and the other thing that happened, and I'll finish up very quickly, is the internet blew up the protective moat around all of the 1990s era media.

33:14Henry Blodget:Print and TV used to be completely separate. Now they're the same. You used to not have a television company be able to own a newspaper. Now we've done away with that. Everybody can own everything. Everybody can do everything, and it's all a click away. So it has become even more intensely competitive. And so it's never been an easy industry, but we are back to it being an incredibly intensely competitive industry. And I do think there's just in general too much of it.

33:42Joe Weisenthal:So when we think about the impact of AI on media, it feels to me like people are talking about two paths here. And one is where, you know, the big chat platforms are basically, they become the front page of the internet, right? And you type in whatever query you have today, how did the state of the union address go last night or something like that. And it spits out a bunch of information that's based on a bunch of articles that you yourself are not paying for. And then the other thing that I hear is, well, actually, in the age of internet slop, AI slop, that distribution and quality is going to become even more important.

34:17Joe Weisenthal:So people are going to want to go to the New York Times or hopefully to Bloomberg or wherever and get that take on last night's events. Where do you stand on that sort of, you know, it's a very binary outcome to me. Which way do you think we're going?

34:32Henry Blodget:I think this is great for the brands that make it. And again, nobody has a right to exist. It's going to be a fight, but for the brands that make it, it is terrific. I trust Bloomberg. I read a Bloomberg article. I know the reporter knows what they're doing and they know the subject. I know there is editing there. Occasionally there's a mistake, but it It is an honest mistake that will be fixed quickly. Compare that to what I see on social media, especially now where AI can create photos and videos and everything else. I don't know. I know the New York Times will immediately dive in if something is bubbling up, some video that's apparently scandalous that we've all got to look at.

35:14Henry Blodget:I know they'll do work on it. Maybe we'll sometime get to the point where they can be fooled. Not yet. And so I trust them. And you actually need a brand and a great organization to do that. And people say, oh, yes, but everybody out there, you know, who knows what's true and it's over. That has always been the case. At its peak in the print era, a million people read the New York Times. That's it. Everybody else heard what was said from their friends or they heard something else. They never even thought about it. And so the idea that, yeah, there's stuff out there that some people believe, there's always been stuff out there that some people believe.

35:53Henry Blodget:So I think it's great for brands, but I do think it's going to be a fight. It's never going to be an easy industry. Talk to us more about this question though of like, okay, New York Times, like anyone else,

36:03Tracy Alloway:they have to figure this out, right? They have to figure out what can they leverage it? I'm doing scare quotes because I hate that word, but that's like the word that everyone used. Can it be leveraged in some way in the context of the traditional newsroom?

36:15Henry Blodget:AI. Yeah. And so going back to your question, which I realized I didn't even get to before. So what should newsrooms be doing?

36:23Tracy Alloway:And how do they handle that? Because everyone hears, oh, you have to run your text through this chatbot or train the AI that's going to replace, or they feel very reasonable fear. How can anyone overcome that?

36:35Henry Blodget:So I think there is the opportunity for there to be a lot of productivity enhancements in what we have today. We were talking earlier, you both use chat TP for research. Me too. It's great. That is a very different, that is one use of media is me looking for information going out. It used to be that I would search for articles. Now I do it with Claude or ChatTPT. That is a smaller piece than what most media has lived on forever, which is, I don't know what I'm interested in. Whoa, that's an interesting story. And that's the serendipitous consumption of media. That's why newspaper headlines have been like this forever.

37:16Henry Blodget:It's why magazine covers matter. We don't know what we want until we see it and then we get it. And it's why in our business, there are many different talents you need to be extraordinarily talented in the business. One is sure, reporting, accuracy, expertise, so forth. You also have to know what people care about and what a good story is and why it matters. And I don't think that changes. And so where do we look around the industry? Yeah, research, drafting stories. Why not? And when people are aghast at that, let me just say back in the print era for newspapers, especially a daily newspaper, what would happen is the reporters would be out in the field.

37:57Henry Blodget:They would get information. They would call it into the rewrite desk verbally. They didn't have anything to write it with. They just say, here are the facts. The rewriters would write it. And in the last 20 years or 30 years, we who have been trained in writing and we value it and we go to Columbia Journalism School, we have conflated reporting and writing as journalism. And I do think there are opportunities now where, okay, the writing lift may be lightened by this. And I'm not saying, say, here's the article and just publish it. I'm just saying, you know what? perplexity is pretty good at writing a well-informed, well-sourced story in six seconds.

38:37Henry Blodget:And maybe that actually accelerates what you're doing. And then maybe you can add your piece to the top or what have you. So I do think there are uses for it too.

38:45Joe Weisenthal:So I actually, I agree with that argument. I think like social skills and investigative skills are going to become more important in the age of AI. However, what you always hear is, well, you're going to need, you're going to need to produce scoops, right? You're going to have to find the stuff that the models don't already know about. And that's going to be the valuable aspect of journalism. But the problem seems to be that those scoops get commodified so freaking quickly that I'm not sure that actually generates much value for the news organization.

39:14Henry Blodget:It is very hard to protect news. You can't. But the organizations that produce it all the time are going to have a huge advantage because it is going to be worth subscribing to them. And that's where the New York Times, the Wall Street Journal, and Bloomberg, that's where it's coming from. And Bloomberg's an interesting one because you really serve a somewhat small but highly committed base where Bloomberg reporters are breaking stuff all the time that allow people to make or lose money. They're going to care, and they're going to have that terminal. And ChatDB is not doing that. So part of what I hear you say is, wait a minute, it has to be differentiated.

39:54Henry Blodget:Yeah, it does. Actually, there's a lot less value than there used to be in somebody said something interesting. Let's write it in an intelligent way, do a little more work and get it to somebody else. That is not as useful anymore for the reason that you described. But those companies, if they want to compete with each other, and they do, ChatGPG and Claude right now, they are going to have to pay for that information. And that's where Bloomberg is in great position. And say another thing, it's not just the big generalists. It is the niche providers who are experts like you guys and do an amazing job in a particular area that people really care about.

40:34Henry Blodget:Those are going to survive. And I'll say one more thing, which is Jeff Bezos was an investor and business side was incredibly helpful to talk to him. Very smart. I realize now he's become kind of not applauded in the journalism industry. But one of the things that he liked to say is everybody wants to know what's changing and what it means. It's actually more useful to step back and say, what is going to stay the same? What is going to stay the same in media is that we are always going to want to know what's happening and what it means, and we're always going to want to be entertained. And that's what media does.

41:11Henry Blodget:It's tough, but until actually there are no more humans, we are going to want media to deliver that.

41:18Tracy Alloway:I agree with that. You know, there's some really good stories, by the way, about the like the New York Post and Daily News, like report like the crime reporters out in the fields. And then they would call the rewrite desk and then they would like translate it into like tabloid speak. It's a that's a cool. That'd be cool.

41:32Joe Weisenthal:I remember sending notes on a Blackberry in like the early 2000s and then someone in the newsroom would translate it into readable words.

41:40Tracy Alloway:With a few minutes left, I want to talk about you mentioned Jeff Bezos. I want to talk about the business environment right now. when President Trump won, there was a lot of headlines about, you know, these CEOs, they'd be like, well, now we, free speech, and now we can speak our minds, and, you know, none of this woke stuff where we have to, like, be careful about what we speak, and, like, I get the impression that it's literally the exact opposite, and that CEOs have never been more scared, and they've never been more timid, and they, like, are obsequious to him, and they, like, do these big pilgrimages and stuff, and meanwhile, we know they hate the tariffs, we know they hate all the stuff going on, What do you make of that?

42:17Tracy Alloway:Because he's not even that popular anymore. He's actually arguably one of the least popular presidents ever. And yet I don't get the impression that there's been much of a change in the world of CEOs and rich guys and billionaires about speaking their mind. Yes.

42:32Henry Blodget:The whole free speech thing was always, I want more speech than I believe in. So I can say whatever I want. You can't say what you want. So it was kind of ludicrous. I think that in general, the big companies and CEOs, especially because President Trump won the last election, clearly, said, okay, I believe in democracy. I'm going to be pragmatic and take care of my team and my company. And also for most public company CEOs, they are easily removed. And they know that. And your job is to actually take care of your company and shareholders. It is not to be a free speech crusader and stand up for your personal thing that you believe in.

43:16Henry Blodget:And so I think there was a lot of pragmatism. I think that may start to change here. I feel like things have happened in the last few months. We may be starting to see a change, but I think it is mainly pragmatism. And you can look at that from the outside and say that's outrageous. But I think they were looking out for their companies and their teams and their shareholders.

43:35Joe Weisenthal:I want to go back to media navel-gazing because I've got more questions. And I actually hesitate to ask this one because I fear that your response is going to get back to asking Joe and I to justify our own salaries. I'm not. I'm telling you why you're not going to be replaced by Notebook LM. Okay. I'm going to ask you to justify a particular paycheck, kind of. Okay. When you sold Business Insider to Axel Springer, what year was that?

44:00Henry Blodget:2015. 2015.

44:01Joe Weisenthal:Okay. If you were selling Business Insider to Axel Springer now, how different would your pitch to them be in 2026 versus 2015?

44:12Henry Blodget:I would say that I think one of Business Insider's advantages, and Joe was a big part of this, was we were not trying to defend the old way that journalism was done in print and television. We were trying to bring rigorous journalism to a new medium where people wanted different things, where distribution was very different. So we were experimenters and innovators. And for every idea that worked, we had 25 ideas that were dumb and didn't work. I take responsibility for all of them. That was the only way to figure out what worked. And one of the things we noticed relatively early is, hey, we can figure out what people like.

44:55Henry Blodget:and we want to serve them. And we did a good job at that. And I think that was the thing that made Business Decider successful. I think now for all companies, stuffing your head in the sand and wishing AI would go away is not a great strategy. So what would be, what can we do? And again, one of the things that's changed as Google and Facebook and social have totally dried up as sources of distribution is we are back in this direct subscriber world, just like magazines and newspapers way back in the world. So that is serving your subscribers. This is what you guys do. You have this incredibly passionate audience.

45:33Henry Blodget:They know you. They want to hear from you every week. And so that's what media companies need to do. So that's what I would say is we are as focused as we have ever been on serving our readers, viewers, people who love us.

45:46Tracy Alloway:So you are now in very subscriber-oriented media. You have a newsletter. You have a podcast, et cetera. Other than realizing, like, actually, you know, editors are good and so forth, what else have you learned or what's been notable about your own personal journey into subscriber-based media? What does surprise you?

46:06Henry Blodget:Well, so I'll give you a little thing. So a lot of what I've been doing the last year or two is writing novels. This is something I wanted to do forever. It's like, okay, now's the time. And I talked to another friend of mine who used to be a screenwriter. And I confessed that to him. He's like, dude, that is crazy. Just go to Claude, tell Claude what you want. And Claude will spit out 325 pages and it'll be pretty good. And I don't, I believe it. And it'll take 20 minutes. And so I feel like the world's biggest idiot from a business perspective. On the other hand, I did want to do it. I'm glad I did it.

46:44Henry Blodget:It's been really fun. What's the story?

46:46Tracy Alloway:Tell us about it. What's coming out next?

46:47Henry Blodget:One's called The Upgrade. It's about a tech billionaire who wants to use AI to take over the world. That doesn't sound like fiction. It's nonfiction, but it'll be out. It's going to be out in beta. It's a new form of books. It's like a screen test. Yes. It's been in alpha for a while. A lot of people have read it. It's a different kind of book? No, it's a book, but there's going to be a period where I invite you to read it. Thank you. If you would, send me what you think. And then when I publish it for real, it may well have benefited from your reading anyway. So I feel like a complete idiot for doing it.

47:18Henry Blodget:But what I will say is for me as an analyst and writer and speaker, part of the joy is the process. Yeah. And I learned so much. And this is what I don't understand about how research is going to be conducted. One of the things that I'm going to do was, hey, write me a research report about X. Six minutes later, it comes back. It was better than a research report that I would have written as a young analyst when I didn't know anything. And it took six minutes. So I said, OK, I'm not going to write any research reports anymore. But when it took me a month to do that as a 25-year-old, I learned a lot through that process.

47:54Henry Blodget:And so now I don't know how you learn. How do you be reading the report? Like, I don't. That's the thing I'm really struggling with. But I will say, so for me, the process has been interesting. I hope you like the book. If you like it, maybe I'll do another one. That would be great. But what I would say is on this whole thing for what are humans going to do? You're a chess player. It has been 40 years since our phones could clobber us in chess. Chess is bigger than it has ever been in person. So my hope is we have AI research and write stuff that we don't really want to do. And we save our writing and orating and everything else for the stuff that we are really passionate about.

48:36Tracy Alloway:Henry Blodgett, thank you so much. And thanks for joining us here on Airfest. There's a lot of fun.

48:42Joe Weisenthal:Thank you so much, Henry.

48:56Joe Weisenthal:This has been another episode of the All Thoughts podcast. I'm Tracy Alloway. You can follow me at Tracy Alloway.

49:02Tracy Alloway:And I'm Joe Weisenthal. You can follow me at The Stalwart. Follow our producers, Carmen Rodriguez at Carmen Armin, Dashiell Bennett at Dashbot, and Kale Brooks at Kale Brooks. And for more OddLots content, go to Bloomberg.com slash OddLots. We have a daily newsletter and all of our episodes. And you can chat about all of these things 24-7 in our Discord, discord.gg slash OddLots.

49:23Joe Weisenthal:And if you enjoy OddLots, then please leave us a positive review on your favorite podcast platform. And remember, if you are a Bloomberg subscriber, you can listen to all of our episodes absolutely ad-free. All you need to do is find the Bloomberg channel on Apple Podcasts and follow the instructions there. Thanks for listening.

50:12Tracy Alloway:This is Tom Keen inviting you to join us for the Bloomberg Surveillance Podcast. It's about making you smarter every business day.

50:21Henry Blodget:I'm Paul Sweeney. We bring you complete coverage of the U.S. market open. We cover stocks, bonds, commodities, even crypto, all the information you need to excel.

50:29Joe Weisenthal:And I'm Alexis Christophorus. Bloomberg Surveillance also brings you the analysis behind the headlines. We do that through conversations with the smartest names in economics, finance, investment, and international relations.

50:40Tracy Alloway:We do all this live each and every weekday that bring you the best analysis in our daily podcast. Search for Bloomberg Surveillance on Apple, Spotify, YouTube, or anywhere else you listen.

50:53Henry Blodget:On the East Coast, listen at lunch. And on the West Coast, listen as soon as you wake up.

50:57Joe Weisenthal:That's the Bloomberg Surveillance Podcast with Tom Keen, Paul Sweeney, and me, Alexis Christophorus. Subscribe today wherever you get your podcasts.

51:06Tracy Alloway:Bloomberg Surveillance, essential listening each and every business day.

From the publisher

A year ago, all of the talk was about how the big AI companies were wildly overvalued. Everyone was calling it a bubble. Fast forward to now, and a dominant idea in the markets is that AI is so powerful that all kinds of legacy businesses — particularly software — could go to zero. So where does the truth lie? And what now for AI valuations? On this episode, recorded live at the On Air podcast festival in Brooklyn on February 25, we catch up again with Henry Blodget, the former Wall Street analyst turned Business Insider CEO, who is now the founder of Regenerator. In a wide-ranging conversation, Henry argues against the software doom scenario, and sees problems for OpenAI as it faces massive spending costs with stiff competition.

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