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

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>Hello, Hello, Hello, welcome to on Air Fast twenty twenty six.

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<v Speaker 2>Thank you so much. I'm Kristin Meinzer. I'm your MC

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<v Speaker 2>for the day. And in case you don't know who

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<v Speaker 2>I am, I'm a podcaster, I'm a royal watcher. I'm

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<v Speaker 2>a culture critic. I've been very busy over the last

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<v Speaker 2>week with some royal news you may have heard of,

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<v Speaker 2>so you may know me from those things. But today

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<v Speaker 2>is not about me. It is about the fantastic talent

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<v Speaker 2>that is going to be on the stage and at

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<v Speaker 2>this festival. Let's get to our first live taping of

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<v Speaker 2>the day, Bloomberg's Odd Lots podcast. The hosts of Odd

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<v Speaker 2>Lots are Joe Wisenthal and Tracy Alloway. Please welcome them

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<v Speaker 2>to the stage, along with their very special guest, Henry Blodgett.

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<v Speaker 2>Thank you so much. Welcome to the stage.

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<v Speaker 1>Thank you so much.

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<v Speaker 3>And hello and welcome to a live episode of the

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<v Speaker 3>Odd Lots podcast.

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<v Speaker 4>I'm Joe Wisenthal and I'm Tracy Alloway.

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<v Speaker 3>Tracy, We're definitely not going to do this, but it

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<v Speaker 3>definitely feels like almost.

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<v Speaker 1>Every episode could be about AI these days. Right, Like

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<v Speaker 1>it's just touching.

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<v Speaker 3>So all the things we talk about are solely getting

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<v Speaker 3>subsumed into this topic that we're not going to do it,

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<v Speaker 3>but we probably could.

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<v Speaker 4>It's not just that every episode could be on AI,

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<v Speaker 4>it's that every episode could probably be made by AI

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<v Speaker 4>at this point, right. And in fact, we've had a

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<v Speaker 4>few people last year. I remember there were a few

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<v Speaker 4>people who made AI generated episodes of the podcast and

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<v Speaker 4>they weren't that bad. And I have to think if

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<v Speaker 4>they did it today, they would be even better.

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<v Speaker 1>It would definitely be better anyway, not better than us,

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<v Speaker 1>but they would be better than they were. I'm not

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<v Speaker 1>sure they'd be better than they were a year ago anyway.

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<v Speaker 3>So we have to talk about AI and what it

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<v Speaker 3>is doing to the market, finance, economics, et cetera. And

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<v Speaker 3>of course we have to talk about what it means

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<v Speaker 3>for us in the media industry. And I'm really excited

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<v Speaker 3>to say we do have the perfect guest.

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<v Speaker 1>We're going to be.

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<v Speaker 3>Speaking here with Henry Blodgett, the CEO of Regenerator. He

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<v Speaker 3>used to be my boss when I was at a

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<v Speaker 3>Business Insider, someone who has a background in both media

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<v Speaker 3>and of course Wall Street and finance, so the perfect

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<v Speaker 3>person to talk about all the different dimensions.

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<v Speaker 4>Truly the perfect guest.

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<v Speaker 3>All right, Henry, thank you so much for coming back

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<v Speaker 3>on odlots.

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<v Speaker 5>Thank you for having me so.

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<v Speaker 3>The last time we talked to was in May of

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<v Speaker 3>last year, and the theme then was everyone was talking

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<v Speaker 3>about here are these huge evaluations for AI companies, how

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<v Speaker 3>could they possibly be justified? And that was an interesting

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<v Speaker 3>conversation And it feels like the narrative has now flipped

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<v Speaker 3>one hundred and eighty degrees where it's like these companies

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<v Speaker 3>are so powerful they're going to destroy every other company

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<v Speaker 3>they're wake and every software company, a payments provider, et cetera.

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<v Speaker 3>Has been like plunging really since the start of the year.

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<v Speaker 3>How have you like updated your views? Where are you

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<v Speaker 3>now versus where you were in same May.

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<v Speaker 5>We are early in the development of the industry. This

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<v Speaker 5>looks a lot like the Internet in the nineteen nineties

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<v Speaker 5>for the if you remember, basically, when you have a

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<v Speaker 5>huge opportunity like this early on, you can have a

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<v Speaker 5>huge range of reasonable predictions about what is going to happen.

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<v Speaker 5>And here we one day it's catastrophe. None of us

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<v Speaker 5>are ever going to have a job. Again, everything's going

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<v Speaker 5>to create her other days, Hey, it's just a fancy

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<v Speaker 5>word process or no worries. Open ai is way overvalued.

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<v Speaker 5>I will say that since we talked last I believe

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<v Speaker 5>that we were aghast at the open ai three hundred

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<v Speaker 5>billion dollar valuation. I believe the latest one is eight

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<v Speaker 5>hundred billion, So we are climbing. But there are other

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<v Speaker 5>companies out there that are worth many times that. So

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<v Speaker 5>if one does think that AI is going to take

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<v Speaker 5>over the world and open Ai is the Google of

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<v Speaker 5>the AI era, which is the thesis which I think

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<v Speaker 5>is very misguided, we can get into, then one can

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<v Speaker 5>imagine that a company might be worth many multiples of

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<v Speaker 5>some of the companies that are out there.

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<v Speaker 4>So one of the crazy things that happened this week

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<v Speaker 4>speaking of AI and media, is there's a guy. We've

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<v Speaker 4>had him on the show, James Galen aka Satriny. He

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<v Speaker 4>runs a hedge fund also publishes an investment newsletter. He

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<v Speaker 4>basically wrote a doom case scenario of the year twenty

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<v Speaker 4>twenty eight where everything had become AI and because everything

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<v Speaker 4>was AI, no one had any jobs, no one was

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<v Speaker 4>actually buying anything in the economy, and we basically had

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<v Speaker 4>an economic and financial crisis when I read that piece

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<v Speaker 4>and then saw the market reaction to it, so stocks

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<v Speaker 4>fell pretty dramatically, and people were attributing it to basically

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<v Speaker 4>a newsletter that was a thought piece. I thought that

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<v Speaker 4>was kind of insane, and it speaks to what you

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<v Speaker 4>just said, which is, when we're in this really uncertain time,

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<v Speaker 4>you can go from sort of euphoria to doomerism very

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<v Speaker 4>very quickly.

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<v Speaker 5>Exactly because it's all predictions. We're all looking into the

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<v Speaker 5>hazy future saying how big is it going to be?

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<v Speaker 5>These small changes in your assumptions make a huge difference

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<v Speaker 5>in the current value. I will say, because that research

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<v Speaker 5>report was both heralded and pillarid, this is exactly fully

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<v Speaker 5>what you want analysts to do. You want them to

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<v Speaker 5>look out and take a strong position and say here's

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<v Speaker 5>what it can look like. And I thought it was

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<v Speaker 5>a fascinating report. I will point out that even though

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<v Speaker 5>as you just characterized it, that this is economic armageddon,

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<v Speaker 5>one of the first sentences of the report says ten

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<v Speaker 5>percent unemployment, which means ninety percent employment. Most of us

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<v Speaker 5>still have a job, and yes there are changes in industries,

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<v Speaker 5>but most of us are still working. So I was

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<v Speaker 5>surprised after hearing about this predicts catastrophe that I picked

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<v Speaker 5>it up. It's like, well, no, it predicts a big

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<v Speaker 5>technology change that sometimes takes the economy awhile to digest,

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<v Speaker 5>but not armageddon.

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<v Speaker 3>What do you think though, it says like about the

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<v Speaker 3>market right now? I mean, and it's kind of an

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<v Speaker 3>interaction of a market story in a media story, because

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<v Speaker 3>here's a substack piece that really did seem to move

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<v Speaker 3>the market.

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<v Speaker 1>Quite a bit on Monday, right yeah.

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<v Speaker 3>What does it say about the market environment that, because

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<v Speaker 3>it's all your right, the software stocks have been getting

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<v Speaker 3>clovered all year, and our AI agents, I mean, we'll

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<v Speaker 3>get into that, gonna somehow make it so we don't

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<v Speaker 3>need to buy regular business software anymore. I don't totally

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<v Speaker 3>understand that, but this has been the fear all year.

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<v Speaker 3>What does it sort of say about the market slash

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<v Speaker 3>media environment that a substack piece like this could just

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<v Speaker 3>go absolutely megaviral like that and move the market.

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<v Speaker 5>Everybody is twitchy. Valuations were high to begin with. We're

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<v Speaker 5>all reevaluating our views every day saying, am I crazy

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<v Speaker 5>thinking it could be this? Maybe I'm crazy? I have

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<v Speaker 5>to panic a little bit so we've seen stocks roll over.

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<v Speaker 5>The multiples are compressing a little bit again. So far

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<v Speaker 5>from armageddon. It's people saying, okay, there may be some

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<v Speaker 5>change here. And to your point, the big Bayer case

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<v Speaker 5>now is that, oh my goodness, claud Code is so good,

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<v Speaker 5>no one will ever buy software anymore. You'll just say, hey,

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<v Speaker 5>make me the software.

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<v Speaker 1>Yeah, I've done that.

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<v Speaker 5>Yeah you have. You're a big experimenter. Yeah, but I

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<v Speaker 5>would say you were probably not spending billions of dollars

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<v Speaker 5>in enterprise software before I do.

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<v Speaker 3>I don't know a thousands of people out in my

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<v Speaker 3>payroll who they need to get it at Fried you

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<v Speaker 3>know exactly.

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<v Speaker 5>You depend on this. And one of the nice things

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<v Speaker 5>about having a company standing behind a product is you

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<v Speaker 5>actually can hold them accountable for it. And maybe claud

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<v Speaker 5>Code doesn't make your enterprise software the you why you want,

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<v Speaker 5>somebody doesn't get paid. So as I hear that, to me,

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<v Speaker 5>that is hysteria. I don't understand it. Software companies are

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<v Speaker 5>not going away. Companies that are not in the software

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<v Speaker 5>business are not going to suddenly say, oh, let's have

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<v Speaker 5>a junior person who understands AI build all our software

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<v Speaker 5>for us. It is not going to happen, but overall,

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<v Speaker 5>big changes coming, lots of disruption. Do we know for

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<v Speaker 5>sure what that's going to do to profits of these

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<v Speaker 5>companies and change in the economy. We do not, And

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<v Speaker 5>that is called the discount rate getting higher. It feels riskier.

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<v Speaker 5>And on that day, Monday, everybody was feeling suddenly risk averse.

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<v Speaker 5>Today I'll point out as we tape, everyone's saying, no problem.

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<v Speaker 5>Off to the races again.

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<v Speaker 4>You've obviously lived and been very active and influential in

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<v Speaker 4>a previous technological I guess cycle of disruption. What do

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<v Speaker 4>you think people are getting wrong here, especially on Wall

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<v Speaker 4>Street when it comes to their approach on this particular

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<v Speaker 4>one AI versus dot Com.

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<v Speaker 5>I think this goes way beyond Wall Street. I think

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<v Speaker 5>there really is a big camp still, and the case

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<v Speaker 5>gets made and then it gets tamped down, and then

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<v Speaker 5>it comes back even more strongly that there really will

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<v Speaker 5>be no jobs for humans anymore. And what I would

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<v Speaker 5>say to that is, I think the bigger risk with

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<v Speaker 5>AI is actually that somebody invents an agenttic system that

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<v Speaker 5>actually gets out in the world and does a lot

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<v Speaker 5>of damage. I think that is a bigger risk. If

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<v Speaker 5>you look at technology job transitions over time, like the

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<v Speaker 5>big one, which is agriculture to industrial. Two hundred years ago,

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<v Speaker 5>ninety three percent of us worked on farms. Now it's

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<v Speaker 5>two percent. That's a big transition, and yet all through

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<v Speaker 5>that the number of jobs grow grew. And same thing

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<v Speaker 5>with things like telephone operators with steam engines. You look

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<v Speaker 5>at any piece of it, there is disruption and pain

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<v Speaker 5>and I'm not minimizing that for the people whose jobs

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<v Speaker 5>are changed or disrupted by it. But the economy overall

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<v Speaker 5>so far in history has gone on to create a

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<v Speaker 5>lot more jobs. And so when you see the lay

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<v Speaker 5>waste to jobs predictions, you don't also often get the

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<v Speaker 5>other side, which is how many new jobs are going

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<v Speaker 5>to be created?

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<v Speaker 4>Well, this is exactly what I want to ask you,

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<v Speaker 4>because we hear that all the time during technological advancement cycles,

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<v Speaker 4>new jobs are created. But I think the difficulty with

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<v Speaker 4>AI is that it's hard to see what those new

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<v Speaker 4>jobs are we better are.

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<v Speaker 2>Going to be?

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<v Speaker 4>Yeah, like, what are we better at than a supercomputer

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<v Speaker 4>that can code a program or write an article in

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<v Speaker 4>less than a minute.

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<v Speaker 1>Or mimical voice and do a podcast.

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<v Speaker 5>Okay, so how where are we three years in at

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<v Speaker 5>this point. These job doom predictions started twenty minutes after

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<v Speaker 5>chat GPT came out. Where are we maybe a little

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<v Speaker 5>bit at the margin, we're seeing something maybe, but maybe

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<v Speaker 5>it's still that companies way over hired after the COVID

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<v Speaker 5>boom or now sort of right sizing themselves. As you say,

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<v Speaker 5>I can go into LA, I can go to Google.

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<v Speaker 5>I think it is drop in a topic and say

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<v Speaker 5>make this into a great Odd Lots podcast.

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<v Speaker 1>Some people have said that Google.

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<v Speaker 3>Multiple people think that Google's notebook LM, which does that

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<v Speaker 3>creates a podcast out of a document.

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<v Speaker 1>Multiple people have said they.

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<v Speaker 3>Trained this on Jo and Tracy like this sounds like

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<v Speaker 3>other people are claiming that too, but yes they could have.

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<v Speaker 5>I'm just saying, you guys continue to grow. All I

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<v Speaker 5>hear more and more about is oh, you gotta listen

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<v Speaker 5>to Odd Lots grow and growing, growing, growing, growing. And

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<v Speaker 5>I don't think we were talking earlier that you've radically changed,

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<v Speaker 5>you made the way you make the show. We're still

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<v Speaker 5>recording it here. You didn't just queue up lams. Who

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<v Speaker 5>is going to rush to do the big interview with Google.

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<v Speaker 5>They're not. They're gonna come do it with you guys,

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<v Speaker 5>because they love you, and your audience loves you. So

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<v Speaker 5>I'm just saying, even in something that seemingly looks so

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<v Speaker 5>ripe to be destroyed, you guys cost money. Why is

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<v Speaker 5>Bloomberg spending it away right to defend I'm just saying optimistic.

0:11:19.559 --> 0:11:21.520
<v Speaker 1>So I mean I hear both ways, and thank you

0:11:21.559 --> 0:11:22.120
<v Speaker 1>for saying that.

0:11:22.160 --> 0:11:24.000
<v Speaker 3>On the other hand, you know, people might not have

0:11:24.040 --> 0:11:27.560
<v Speaker 3>the same affinity for someone who does claims adjusted and

0:11:27.559 --> 0:11:29.280
<v Speaker 3>at insurance. They don't really care if they have the

0:11:29.360 --> 0:11:32.240
<v Speaker 3>human touch for that or tech support. I want to

0:11:32.240 --> 0:11:35.320
<v Speaker 3>ask a related question. It also relates to the piece

0:11:35.360 --> 0:11:37.320
<v Speaker 3>that came out on one day, and it relates to

0:11:37.360 --> 0:11:39.520
<v Speaker 3>this question of whether open ai is could be.

0:11:39.440 --> 0:11:40.960
<v Speaker 1>The Google of the next generation.

0:11:41.520 --> 0:11:44.440
<v Speaker 3>One of the arguments that the piece stipulates, and I

0:11:44.440 --> 0:11:46.760
<v Speaker 3>think it sort of fits with what I have observed,

0:11:47.240 --> 0:11:49.719
<v Speaker 3>is that ai doesn't seem to have network.

0:11:49.480 --> 0:11:50.680
<v Speaker 1>Effects in the same way.

0:11:50.720 --> 0:11:53.240
<v Speaker 3>So it's like you could switch from O chat, GPT

0:11:53.840 --> 0:11:56.560
<v Speaker 3>to claude with almost no issues and it's just not

0:11:56.720 --> 0:11:59.520
<v Speaker 3>an issue. Whereas after the first time I used Google

0:11:59.559 --> 0:12:03.040
<v Speaker 3>in two though I never used Yahoo again, that was

0:12:03.080 --> 0:12:04.440
<v Speaker 3>the last time I'd ever.

0:12:04.440 --> 0:12:05.680
<v Speaker 1>Used another search engine.

0:12:06.320 --> 0:12:08.280
<v Speaker 3>This seems this is one of the arguments in the

0:12:08.280 --> 0:12:10.400
<v Speaker 3>piece that there isn't gonna be the same stickiness and

0:12:10.480 --> 0:12:13.480
<v Speaker 3>network effects in the AI era in the way that

0:12:13.600 --> 0:12:16.760
<v Speaker 3>defined the last twenty five years of the Internet. And

0:12:16.840 --> 0:12:19.960
<v Speaker 3>so when you think about like open ai versus Google

0:12:20.000 --> 0:12:22.560
<v Speaker 3>this year versus the dot com era, does that resonate

0:12:22.600 --> 0:12:23.800
<v Speaker 3>to I.

0:12:23.720 --> 0:12:27.040
<v Speaker 5>Think that what folks who would say that open ai

0:12:27.240 --> 0:12:29.160
<v Speaker 5>is the Google of the era would say that more

0:12:29.200 --> 0:12:31.640
<v Speaker 5>and more, you're gonna build more of your life into it.

0:12:31.640 --> 0:12:33.640
<v Speaker 5>It's going to know everything about you, it's going to

0:12:33.720 --> 0:12:36.040
<v Speaker 5>custom so it's gonna be the switching costs are going

0:12:36.080 --> 0:12:38.320
<v Speaker 5>to grow. But to this point they have not. And

0:12:38.360 --> 0:12:40.640
<v Speaker 5>I'll tell you the thing that really made me think

0:12:40.679 --> 0:12:43.320
<v Speaker 5>they were in trouble, and I still think that given

0:12:43.360 --> 0:12:46.640
<v Speaker 5>the valuation and given the general consensus that they've already won,

0:12:47.440 --> 0:12:49.880
<v Speaker 5>was when Google Gemini came out and people said, oh

0:12:50.200 --> 0:12:54.199
<v Speaker 5>it's better. Yeah, they passed them, and all the bulls said, oh,

0:12:54.440 --> 0:12:57.120
<v Speaker 5>just wait till the next version of open ai comes out.

0:12:57.360 --> 0:12:59.480
<v Speaker 5>I will say, if you go back into the nineteen nineties,

0:13:00.360 --> 0:13:02.920
<v Speaker 5>Amazon was very controversial. A lot of people thought it

0:13:02.920 --> 0:13:06.120
<v Speaker 5>would go bankrupt. It's just a bookstore. Barnes and Noble

0:13:06.200 --> 0:13:07.880
<v Speaker 5>is gonna put them out of business as soon as

0:13:07.880 --> 0:13:11.280
<v Speaker 5>they have a website or Walmart or whatever. Walmart and

0:13:11.320 --> 0:13:16.000
<v Speaker 5>Barnes and Noble never got anywhere near Amazon. Amazon was

0:13:16.120 --> 0:13:19.840
<v Speaker 5>so far out ahead always and still almost went bankrupt

0:13:20.000 --> 0:13:23.200
<v Speaker 5>by the way, but nobody was ever close. And in

0:13:23.240 --> 0:13:26.400
<v Speaker 5>this case, less than two years after the product comes out,

0:13:26.679 --> 0:13:31.280
<v Speaker 5>the incumbent has caught up to me. That's when I said, like, whoa, Okay,

0:13:31.640 --> 0:13:33.800
<v Speaker 5>maybe this actually is going to be like the Internet,

0:13:34.240 --> 0:13:37.760
<v Speaker 5>which is the first five years all of us, including me,

0:13:38.080 --> 0:13:41.680
<v Speaker 5>were saying like, oh, just buy the leaders, no problem,

0:13:41.880 --> 0:13:44.320
<v Speaker 5>like they're the ones that are gonna survive. You know

0:13:44.360 --> 0:13:47.720
<v Speaker 5>how many survived. Of that first five hundred companies that

0:13:47.760 --> 0:13:52.559
<v Speaker 5>went public in the nineteen nineties, one went on to

0:13:52.800 --> 0:13:56.000
<v Speaker 5>actually make investors a lot of money after the crash.

0:13:56.080 --> 0:13:59.840
<v Speaker 5>That was Amazon. Two others that I know of, Cisco,

0:14:00.280 --> 0:14:04.480
<v Speaker 5>after twenty five years, finally got back to its stock prize.

0:14:04.960 --> 0:14:08.240
<v Speaker 5>eBay did okay for a while and then kind of

0:14:08.240 --> 0:14:10.600
<v Speaker 5>sputtered out a little bit. That's out of hundreds and

0:14:10.679 --> 0:14:14.840
<v Speaker 5>hundreds of companies. So I think it's very possible that yes,

0:14:15.160 --> 0:14:18.600
<v Speaker 5>AI is huge. It's a great idea. We all want it,

0:14:18.720 --> 0:14:21.480
<v Speaker 5>and somebody is going to come along soon and due

0:14:21.480 --> 0:14:24.120
<v Speaker 5>to open ai what Google did to Yahoo, which by

0:14:24.160 --> 0:14:27.120
<v Speaker 5>the way, Yahoo was the big search engine winner and

0:14:27.160 --> 0:14:30.200
<v Speaker 5>then Google destroyed it. So I just think it's way

0:14:30.240 --> 0:14:45.760
<v Speaker 5>too early to say that we open a eyes the Google.

0:14:49.080 --> 0:14:52.760
<v Speaker 4>We started by mentioning the open ai valuation, which everyone

0:14:53.440 --> 0:14:56.560
<v Speaker 4>was a gas stat last year. Now maybe not so much.

0:14:56.600 --> 0:14:59.760
<v Speaker 4>But even if you assume a future where open ai

0:14:59.880 --> 0:15:03.440
<v Speaker 4>or whoever comes in and disrupts every single industry, and

0:15:03.560 --> 0:15:07.120
<v Speaker 4>there are thousands of employees and companies that are paying

0:15:07.120 --> 0:15:10.640
<v Speaker 4>two hundred dollars a month or whatever to access the

0:15:10.680 --> 0:15:14.520
<v Speaker 4>new LM whatever the new model is, open ai, at

0:15:14.600 --> 0:15:17.040
<v Speaker 4>least for right now, is still losing money on every

0:15:17.080 --> 0:15:19.720
<v Speaker 4>customer that's like a power user. So how does that

0:15:19.760 --> 0:15:22.000
<v Speaker 4>actually translate into a working business model.

0:15:22.360 --> 0:15:25.280
<v Speaker 5>It's a good question. I think what the bulls would

0:15:25.280 --> 0:15:28.640
<v Speaker 5>say is the cost of what they do is going

0:15:28.680 --> 0:15:31.520
<v Speaker 5>to plummet, and so the lines are going to cross

0:15:31.520 --> 0:15:34.080
<v Speaker 5>here pretty soon. If they own the whole market, suddenly

0:15:34.160 --> 0:15:37.520
<v Speaker 5>they start to become incredibly profitable. We are not there yet.

0:15:37.600 --> 0:15:39.760
<v Speaker 5>And I think when we talked last time at a

0:15:39.840 --> 0:15:43.200
<v Speaker 5>three hundred billion dollar valuation, which everybody was horrified by

0:15:43.200 --> 0:15:45.440
<v Speaker 5>at that point. But if you looked at the projections,

0:15:45.560 --> 0:15:48.640
<v Speaker 5>the projections were three years from now, they'll do one

0:15:48.760 --> 0:15:52.120
<v Speaker 5>hundred billion of revenue. And if you at that point

0:15:52.160 --> 0:15:54.520
<v Speaker 5>were looking at it saying, okay, if I believe that,

0:15:54.720 --> 0:15:58.080
<v Speaker 5>then it's three times revenue, the economics will probably change.

0:15:58.200 --> 0:16:00.320
<v Speaker 5>It starts to look a little more reasonable. Now we're

0:16:00.320 --> 0:16:03.120
<v Speaker 5>at eight hundred billion, so it's a much bigger multiple,

0:16:03.280 --> 0:16:06.320
<v Speaker 5>and you've got to actually have a much bigger revenue

0:16:06.360 --> 0:16:09.640
<v Speaker 5>stream and profits. But that's the argument. I don't see

0:16:09.680 --> 0:16:13.680
<v Speaker 5>it yet. I gotta say the economics are incredibly difficult

0:16:13.880 --> 0:16:14.240
<v Speaker 5>for them.

0:16:14.440 --> 0:16:16.520
<v Speaker 1>They seem brutal. And there's another element too.

0:16:16.560 --> 0:16:20.760
<v Speaker 3>So obviously, unlike during the Web two point zero era

0:16:20.840 --> 0:16:23.480
<v Speaker 3>where there was like cheap, plentiful compute, obviously, the capital

0:16:23.480 --> 0:16:24.720
<v Speaker 3>expenditure budgets.

0:16:24.360 --> 0:16:27.480
<v Speaker 1>To these companies are just eyewatering. They're spending like crazy.

0:16:27.600 --> 0:16:30.080
<v Speaker 3>There's also this other element that I think is interesting,

0:16:30.320 --> 0:16:33.760
<v Speaker 3>which is at least of a few of these labs,

0:16:34.200 --> 0:16:36.680
<v Speaker 3>like the people found to them are true believers, Like

0:16:36.720 --> 0:16:39.280
<v Speaker 3>they think they're like they think they're on a mission

0:16:39.640 --> 0:16:42.680
<v Speaker 3>to build AGI is going to change everything. Build God,

0:16:42.800 --> 0:16:45.200
<v Speaker 3>Build God, right, build a digital God, and it's like

0:16:45.240 --> 0:16:47.320
<v Speaker 3>they're not going to stop at anything. They're not gonna

0:16:47.320 --> 0:16:49.280
<v Speaker 3>be like, you know what, it's pretty good, let's tap

0:16:49.320 --> 0:16:51.680
<v Speaker 3>the brakes. We're pretty happy with how this model works.

0:16:52.160 --> 0:16:53.640
<v Speaker 1>You know, I don't, or at least I don't get

0:16:53.640 --> 0:16:54.240
<v Speaker 1>that a privy.

0:16:54.400 --> 0:16:57.920
<v Speaker 4>Also, they've couched it as this like existential race, like

0:16:57.920 --> 0:16:59.880
<v Speaker 4>there's only gonna be one company that dominates in the

0:17:00.080 --> 0:17:03.160
<v Speaker 4>and so the upper limit on spending to become that

0:17:03.240 --> 0:17:05.520
<v Speaker 4>company is infinity.

0:17:06.000 --> 0:17:10.360
<v Speaker 5>Yes, However, there is a limit to money. And when

0:17:10.359 --> 0:17:13.359
<v Speaker 5>you look at when people are raising money, you watch

0:17:13.440 --> 0:17:16.880
<v Speaker 5>where they're going for it. Sure, the vcs, that's one

0:17:16.920 --> 0:17:19.080
<v Speaker 5>pool of money, and then the big strategics, and then

0:17:19.119 --> 0:17:21.160
<v Speaker 5>the vcs who missed the first time and are feeling

0:17:21.160 --> 0:17:22.960
<v Speaker 5>so embarrassed about it they'll pay up to get in.

0:17:23.240 --> 0:17:26.320
<v Speaker 5>Then it is the international funds that are watching all

0:17:26.359 --> 0:17:29.320
<v Speaker 5>this stuff. Yeah, exactly. So it's some point you run

0:17:29.359 --> 0:17:31.359
<v Speaker 5>out of money, and we are talking about a company

0:17:31.400 --> 0:17:35.240
<v Speaker 5>that is raising hundreds of billions of dollars just to

0:17:35.320 --> 0:17:38.560
<v Speaker 5>keep the engine running and just to keep pace. This

0:17:38.640 --> 0:17:44.120
<v Speaker 5>is the other problem. Google, Facebook, Microsoft are generating tens

0:17:44.160 --> 0:17:46.680
<v Speaker 5>of billions of dollars of free cash flow every year

0:17:46.800 --> 0:17:49.600
<v Speaker 5>that they can use to buy chips open AI has

0:17:49.600 --> 0:17:51.880
<v Speaker 5>to raise it in the open market. So if those

0:17:51.920 --> 0:17:55.919
<v Speaker 5>economics don't start to change soon, we're gonna run out

0:17:55.960 --> 0:17:56.280
<v Speaker 5>of money.

0:17:56.720 --> 0:17:58.480
<v Speaker 4>Joe and I were talking about this before we came

0:17:58.520 --> 0:18:01.440
<v Speaker 4>on stage. But another thing happened recently was there is

0:18:01.480 --> 0:18:05.440
<v Speaker 4>a karaoke machine making company that announced it was now

0:18:05.560 --> 0:18:09.119
<v Speaker 4>an AI company, which when I see headlines like that,

0:18:09.480 --> 0:18:12.000
<v Speaker 4>remind me a lot of the crypto boom, but also

0:18:12.040 --> 0:18:14.000
<v Speaker 4>remind me a lot of the dot com boom, and

0:18:14.040 --> 0:18:15.640
<v Speaker 4>we are starting to see more and more of those.

0:18:15.720 --> 0:18:17.360
<v Speaker 4>Wasn't there a toilet company recently?

0:18:17.720 --> 0:18:20.520
<v Speaker 3>The toilet owner is legit, so like apparently, no, no, no,

0:18:20.600 --> 0:18:23.120
<v Speaker 3>for real, So you said it was not like, oh,

0:18:23.119 --> 0:18:26.040
<v Speaker 3>we're an AI company. Apparently it's the Japanese toilet company

0:18:26.040 --> 0:18:28.239
<v Speaker 3>and they have some like porcelain or something like that.

0:18:28.320 --> 0:18:31.480
<v Speaker 3>It's very important for like semiconductors or something. So everyone's like, oh,

0:18:31.520 --> 0:18:33.680
<v Speaker 3>get out of the toilet business. You have this access

0:18:33.680 --> 0:18:34.640
<v Speaker 3>to this material.

0:18:34.920 --> 0:18:38.760
<v Speaker 1>But so that one was kind of legit. The karaoke one.

0:18:39.000 --> 0:18:42.840
<v Speaker 4>Okay, okay, so yeah, the toilet one. Maybe the karaoke one.

0:18:42.880 --> 0:18:44.840
<v Speaker 4>When you see headlines like that, what do you think

0:18:44.880 --> 0:18:47.440
<v Speaker 4>do you think like this is a rational pivot into

0:18:47.480 --> 0:18:50.840
<v Speaker 4>a booming market and everyone should be experimenting with AI

0:18:50.920 --> 0:18:52.560
<v Speaker 4>at the moment, or do you think like, nah, this

0:18:52.680 --> 0:18:53.399
<v Speaker 4>is getting crazy.

0:18:53.760 --> 0:18:58.040
<v Speaker 5>I think we are in a euphoric bubble period where

0:18:58.040 --> 0:19:01.879
<v Speaker 5>we just discovered this amazing new thing. Nobody knows what

0:19:01.920 --> 0:19:04.520
<v Speaker 5>the future is, nobody knows what's gonna work, and we

0:19:04.560 --> 0:19:09.320
<v Speaker 5>are effectively creating this enormous R and D lab, which is, hey,

0:19:09.600 --> 0:19:12.240
<v Speaker 5>what you can do something, here's some money, go out

0:19:12.240 --> 0:19:14.120
<v Speaker 5>and experiment. I hope you'll be one of the winners.

0:19:14.560 --> 0:19:17.199
<v Speaker 5>Fifty to one hundred years ago, all of that stuff

0:19:17.280 --> 0:19:21.960
<v Speaker 5>happened in labs like Edison's lab or Bell Labs inside

0:19:21.960 --> 0:19:25.600
<v Speaker 5>these big corporations. You never saw it. Now everything is

0:19:25.600 --> 0:19:28.600
<v Speaker 5>a startup. You see it. It's happening in front of you.

0:19:28.680 --> 0:19:31.199
<v Speaker 5>But there's no question that most of the companies are

0:19:31.240 --> 0:19:33.600
<v Speaker 5>gonna fail. Happens aget in again and again. And I

0:19:33.640 --> 0:19:36.280
<v Speaker 5>think what investors are saying when they see that is okay,

0:19:36.520 --> 0:19:39.000
<v Speaker 5>you know that is a quick flip. It's hey, I'll

0:19:39.040 --> 0:19:41.240
<v Speaker 5>get it. Other people. A lot of other people love AI.

0:19:41.280 --> 0:19:43.000
<v Speaker 5>They'll buy it after I do, and it'll go up

0:19:43.040 --> 0:19:43.760
<v Speaker 5>and then I'll sell it.

0:19:43.960 --> 0:19:46.160
<v Speaker 3>I want to ask you a question about capital markets

0:19:46.200 --> 0:19:48.480
<v Speaker 3>and how they're different to the late nineties of the

0:19:48.480 --> 0:19:51.199
<v Speaker 3>dot com bubble, because one really big thing that's happening

0:19:51.240 --> 0:19:54.199
<v Speaker 3>these days is, yes, these companies are in private but

0:19:54.240 --> 0:19:56.639
<v Speaker 3>there is a lot of stock floating around, and there

0:19:56.640 --> 0:19:59.760
<v Speaker 3>are these SPVs that will buy a choir, a chunk

0:19:59.800 --> 0:20:02.679
<v Speaker 3>of Anthropic and sell them on a secondary market, and

0:20:02.680 --> 0:20:05.159
<v Speaker 3>people are trying to get They're much more liquid than

0:20:05.200 --> 0:20:07.920
<v Speaker 3>a private company would have been in the late nineties.

0:20:08.040 --> 0:20:09.680
<v Speaker 1>I get someone someone messaged me.

0:20:09.640 --> 0:20:10.960
<v Speaker 3>They're like, do you want to buy a little I like, no,

0:20:10.960 --> 0:20:12.200
<v Speaker 3>I don't do that, but they're like, would you like

0:20:12.240 --> 0:20:14.560
<v Speaker 3>to buy a little bit of Anthropic at a three

0:20:14.600 --> 0:20:17.280
<v Speaker 3>hundred and fifty billion dollar valuation? But you must get

0:20:17.280 --> 0:20:19.080
<v Speaker 3>a bunch of those sort of messages from people. And

0:20:19.080 --> 0:20:22.639
<v Speaker 3>I'm curious about your perspective on this world, because the

0:20:22.640 --> 0:20:25.159
<v Speaker 3>other thing is like, there's no financials, You have no

0:20:25.200 --> 0:20:26.679
<v Speaker 3>idea like what their p and L is for these

0:20:26.720 --> 0:20:28.920
<v Speaker 3>private company what's your take on some of this quasi

0:20:28.960 --> 0:20:30.440
<v Speaker 3>liquid private market stock.

0:20:30.600 --> 0:20:33.399
<v Speaker 5>Yeah, and let us just say then when our phones

0:20:33.440 --> 0:20:36.000
<v Speaker 5>are ringing, yeah, I know that's the right thing.

0:20:37.119 --> 0:20:40.320
<v Speaker 1>Money out there It's like, if someone is reaching out

0:20:40.359 --> 0:20:42.800
<v Speaker 1>to me, I can't be that much money.

0:20:42.800 --> 0:20:45.919
<v Speaker 5>Big, big warning signs going on over there. So I

0:20:45.920 --> 0:20:48.200
<v Speaker 5>think one of the things that's changed versus the dot

0:20:48.240 --> 0:20:50.320
<v Speaker 5>com boom in the nineteen nineties and before that is

0:20:50.520 --> 0:20:53.800
<v Speaker 5>companies used to go public very early before, and you

0:20:53.840 --> 0:20:57.080
<v Speaker 5>can invest in Amazon, for example, at a four hundred

0:20:57.119 --> 0:21:00.520
<v Speaker 5>million dollar valuation, sounds like a lot. It's worth trillions

0:21:00.560 --> 0:21:04.840
<v Speaker 5>of dollars. Now there's been incredible appreciation. Individuals can't do

0:21:04.960 --> 0:21:07.560
<v Speaker 5>that anymore, and there's good reason for it. People lost

0:21:07.600 --> 0:21:09.720
<v Speaker 5>a lot of money after the dot com crash. We

0:21:09.760 --> 0:21:12.960
<v Speaker 5>didn't like that. We want to protect everybody. So now

0:21:13.000 --> 0:21:15.919
<v Speaker 5>companies go public a lot later, the threat of lawsuits

0:21:15.960 --> 0:21:18.879
<v Speaker 5>and all of the different regulation that you've got to do,

0:21:18.960 --> 0:21:22.000
<v Speaker 5>so it's later. But the bummer about it is a

0:21:22.040 --> 0:21:25.440
<v Speaker 5>lot of investors who actually do have the risk tolerance

0:21:25.920 --> 0:21:28.679
<v Speaker 5>can't access them. And so, yes, you've had a new

0:21:29.240 --> 0:21:32.320
<v Speaker 5>business that has been built around Okay, let's get that

0:21:32.400 --> 0:21:36.000
<v Speaker 5>private stock. Somehow get it, I think. And the problem is, again,

0:21:36.080 --> 0:21:39.560
<v Speaker 5>if you choose right great company, it works, but it's

0:21:39.640 --> 0:21:42.520
<v Speaker 5>more fees packed around it. It's much more you know

0:21:42.560 --> 0:21:45.760
<v Speaker 5>that intermediary that called you has to get paid, so

0:21:45.840 --> 0:21:48.520
<v Speaker 5>that's somebody else. It's more difficult to trade. So I

0:21:48.560 --> 0:21:51.119
<v Speaker 5>think it is the market trying to solve the problem

0:21:51.440 --> 0:21:55.160
<v Speaker 5>that it's much harder to make money in open AI

0:21:55.520 --> 0:21:58.200
<v Speaker 5>at eight hundred billion or Anthropic at three hundred and

0:21:58.240 --> 0:22:01.120
<v Speaker 5>fifty billion than it is in the seed round when

0:22:01.160 --> 0:22:03.880
<v Speaker 5>it was a few hundred million. And so you've got

0:22:03.920 --> 0:22:06.280
<v Speaker 5>a lot of people clamoring to get in. But it's

0:22:06.320 --> 0:22:10.080
<v Speaker 5>the same problem. You don't even infect less companies go public.

0:22:10.160 --> 0:22:12.320
<v Speaker 5>They do, or they are releasing a lot of information,

0:22:12.520 --> 0:22:13.520
<v Speaker 5>whereas these guys are not.

0:22:30.200 --> 0:22:32.639
<v Speaker 4>Should we do some media stuff? All right, let the

0:22:32.880 --> 0:22:36.200
<v Speaker 4>media naval gazing begin, Okay, So we started out by

0:22:36.400 --> 0:22:38.639
<v Speaker 4>saying that, you know, we were talking about the Satrini

0:22:38.680 --> 0:22:41.080
<v Speaker 4>piece that got it went viral, but it also got

0:22:41.080 --> 0:22:47.159
<v Speaker 4>a backlash. You did your own AI newsroom experiment newsletter

0:22:47.280 --> 0:22:50.919
<v Speaker 4>on substack that also got a bit of a backlash.

0:22:51.119 --> 0:22:52.400
<v Speaker 4>Were you surprised at that one?

0:22:53.200 --> 0:22:55.160
<v Speaker 5>Yes, I was surprised. Basically, what I did I left

0:22:55.200 --> 0:22:57.800
<v Speaker 5>business inside or I started this new thing Regenerator and

0:22:57.840 --> 0:22:59.960
<v Speaker 5>a podcast too. Trying your business.

0:22:59.760 --> 0:23:03.200
<v Speaker 4>It's very difficult talk about this is the most important

0:23:03.240 --> 0:23:06.680
<v Speaker 4>aspect of podcasting podcast.

0:23:05.880 --> 0:23:09.520
<v Speaker 5>Exactly, yes, podcast called Solutions with check it out? Yes please.

0:23:09.920 --> 0:23:13.720
<v Speaker 5>So I left and it was just me. So I said, okay, great,

0:23:13.880 --> 0:23:16.280
<v Speaker 5>let's see what it can do, because if you try

0:23:16.280 --> 0:23:19.320
<v Speaker 5>that as a CEO of a company, people freak out, justifiably.

0:23:19.480 --> 0:23:22.040
<v Speaker 5>Oh my goodness, they're going to discover something. My job's threatened.

0:23:22.240 --> 0:23:25.400
<v Speaker 5>We are all worried about our jobs being threatened. Including

0:23:25.440 --> 0:23:29.520
<v Speaker 5>by the way, do we need articles any more? Articles?

0:23:29.680 --> 0:23:31.359
<v Speaker 5>I mean, boy, there are a lot of great articles

0:23:31.359 --> 0:23:33.680
<v Speaker 5>written everybody. In fact, this is the problem in media.

0:23:33.760 --> 0:23:35.639
<v Speaker 5>There's way too much of it. Let's just get that

0:23:35.680 --> 0:23:38.720
<v Speaker 5>out there anyway. So yes, I experimented with everything, and

0:23:38.760 --> 0:23:40.960
<v Speaker 5>the first thing that I did was, oh, if I

0:23:40.960 --> 0:23:43.520
<v Speaker 5>were actually starting a publication and hiring a team, who

0:23:43.560 --> 0:23:45.679
<v Speaker 5>would I hire. Well, I'd hire five people. I have

0:23:45.680 --> 0:23:48.040
<v Speaker 5>a managing editor, and I'd have a few reporters and

0:23:48.119 --> 0:23:50.879
<v Speaker 5>so forth. So I asked chat GPT, can you help me?

0:23:51.000 --> 0:23:55.040
<v Speaker 5>CHATCHEPET said sure, let's make them. So in two hours

0:23:55.080 --> 0:23:57.680
<v Speaker 5>we made them. They all had different personalities, they had

0:23:57.720 --> 0:24:00.840
<v Speaker 5>head shots, et cetera. I wrote this, We had like

0:24:01.000 --> 0:24:03.720
<v Speaker 5>slack going where we're all talking about stories, and it

0:24:03.800 --> 0:24:07.840
<v Speaker 5>was pretty good, not spectacular but pretty good, and so

0:24:07.920 --> 0:24:10.280
<v Speaker 5>that was cool, so I wrote about it. Yes, I

0:24:10.359 --> 0:24:14.440
<v Speaker 5>also made the mistake of complimenting one of the headshots

0:24:14.840 --> 0:24:18.879
<v Speaker 5>and was immediately lambasted for that, which actually helped me

0:24:19.040 --> 0:24:21.160
<v Speaker 5>hone my own AI morality.

0:24:21.200 --> 0:24:23.000
<v Speaker 4>Well, I have a question on this. If you had

0:24:23.080 --> 0:24:25.840
<v Speaker 4>had a human editor for that piece, do you think

0:24:25.840 --> 0:24:29.600
<v Speaker 4>you would have complimented your AI generated managing editor on

0:24:29.640 --> 0:24:30.840
<v Speaker 4>her appearance.

0:24:30.600 --> 0:24:33.800
<v Speaker 5>The piece needed to be editing edited. This is the problem.

0:24:34.000 --> 0:24:35.560
<v Speaker 5>You were out on your own. You don't have great

0:24:35.640 --> 0:24:39.360
<v Speaker 5>editors protecting you anymore. You let your enthusiasm bubble over

0:24:39.400 --> 0:24:41.199
<v Speaker 5>a little bit too much. You know who I have

0:24:41.400 --> 0:24:44.440
<v Speaker 5>edited my stuff now sometimes if I feel like I'm

0:24:44.480 --> 0:24:48.280
<v Speaker 5>maybe a little bit too fasty as enthusiastic JATGBT or

0:24:48.359 --> 0:24:50.240
<v Speaker 5>Claude and very good spots it.

0:24:50.280 --> 0:24:53.119
<v Speaker 3>Anyway, you talk to us about that newsroom dynamic particularly,

0:24:53.200 --> 0:24:57.639
<v Speaker 3>you know, every editor at a newsroom, every every newsroom right.

0:24:57.520 --> 0:25:00.080
<v Speaker 1>Now is like trying to figure out something right. You

0:25:00.160 --> 0:25:01.840
<v Speaker 1>can't like alienate.

0:25:01.400 --> 0:25:03.720
<v Speaker 3>The entire newsroom and say like, oh you all have

0:25:03.800 --> 0:25:07.320
<v Speaker 3>to be doing whats Yeah.

0:25:07.080 --> 0:25:08.680
<v Speaker 1>Like that doesn't work.

0:25:08.760 --> 0:25:10.960
<v Speaker 3>The newsroom obviously hates it, and I would say probably

0:25:10.960 --> 0:25:13.400
<v Speaker 3>for good reason. But on the other hand, everyone has

0:25:13.440 --> 0:25:17.720
<v Speaker 3>to be like figuring stuff out. What should newsroom executives,

0:25:17.760 --> 0:25:20.520
<v Speaker 3>whether it's editors in chief or whatever, how should they

0:25:20.520 --> 0:25:22.920
<v Speaker 3>be thinking about solving this problem?

0:25:23.200 --> 0:25:24.879
<v Speaker 5>So, I mean, so going back the other thing, the

0:25:24.920 --> 0:25:27.480
<v Speaker 5>other thing that I learned from publishing, that was just

0:25:27.600 --> 0:25:31.240
<v Speaker 5>how much anxiety there is, especially in younger generation, about

0:25:31.520 --> 0:25:33.119
<v Speaker 5>jobs that have been there for a long time that

0:25:33.160 --> 0:25:36.560
<v Speaker 5>are just disappearing. And that was extremely clear to me,

0:25:36.600 --> 0:25:38.840
<v Speaker 5>and I would have been even more Yeah, I understand it.

0:25:38.880 --> 0:25:41.760
<v Speaker 5>I mean it is scary. And so what does a

0:25:41.800 --> 0:25:44.560
<v Speaker 5>newsroom do. I think, let's look at what's going on media.

0:25:44.680 --> 0:25:48.760
<v Speaker 5>The problem again is there's way too much media. There

0:25:48.800 --> 0:25:52.520
<v Speaker 5>are so many amazing articles, for example, produced every day.

0:25:52.600 --> 0:25:54.480
<v Speaker 5>When I open the New York Times or the Wall

0:25:54.480 --> 0:25:58.760
<v Speaker 5>Street Journal or Bloomberg, I want to read dozens of articles.

0:25:58.840 --> 0:26:02.359
<v Speaker 5>I might get to one or two. And distribution has

0:26:02.480 --> 0:26:07.520
<v Speaker 5>changed radically five years ago. Facebook, Google, we're driving enormous

0:26:07.560 --> 0:26:11.480
<v Speaker 5>distribution to lots of different publishers. That is all now changing.

0:26:11.600 --> 0:26:13.440
<v Speaker 5>We are going back to something that looks like the

0:26:13.520 --> 0:26:17.240
<v Speaker 5>nineteen nineties, where actually you have to have a direct

0:26:17.280 --> 0:26:21.320
<v Speaker 5>relationship with your subscriber. The industry is under a ton

0:26:21.400 --> 0:26:26.760
<v Speaker 5>of pressure, both from advertising but also we have maximized

0:26:26.760 --> 0:26:29.639
<v Speaker 5>the amount of time as humans that we can spend

0:26:29.960 --> 0:26:33.760
<v Speaker 5>consuming media. This is very different from twenty years ago

0:26:33.840 --> 0:26:36.399
<v Speaker 5>when we start a business socider. You remember this, Like

0:26:36.720 --> 0:26:39.200
<v Speaker 5>in the nineteen nineties, media was very mature.

0:26:39.680 --> 0:26:42.120
<v Speaker 1>It was, says twenty years ago. By the way, that's

0:26:42.160 --> 0:26:43.960
<v Speaker 1>like thirty years Oh, wit to figure.

0:26:43.960 --> 0:26:47.040
<v Speaker 5>Okay, but let's go back to the ninety nineties. Even farther.

0:26:47.320 --> 0:26:50.520
<v Speaker 5>Media was very mature. Magazines totally mature, very hard to

0:26:50.560 --> 0:26:53.000
<v Speaker 5>start one. You needed fifty million dollars and you need

0:26:53.000 --> 0:26:55.880
<v Speaker 5>to hire all these great people, and then maybe five

0:26:55.960 --> 0:26:59.200
<v Speaker 5>years down the road you might, if you're lucky, become profitable.

0:26:59.280 --> 0:27:02.560
<v Speaker 5>Very hard, very hard to get into newspapers, television, even worse.

0:27:02.640 --> 0:27:05.520
<v Speaker 5>Your slave for a long long time getting coffee, so

0:27:06.119 --> 0:27:10.680
<v Speaker 5>very very tough. Then desktops came along and got connected.

0:27:10.920 --> 0:27:13.400
<v Speaker 5>So that was suddenly twelve hours a day that people

0:27:13.440 --> 0:27:15.640
<v Speaker 5>are sitting in the office. They need to know what's

0:27:15.640 --> 0:27:19.080
<v Speaker 5>going on. It's a new opportunity. Then phones came and

0:27:19.119 --> 0:27:21.159
<v Speaker 5>that's the thing that really drove business Insider. In the

0:27:21.119 --> 0:27:23.720
<v Speaker 5>earlier we're standing around, we want to know what's happening.

0:27:24.040 --> 0:27:28.399
<v Speaker 5>Nobody else is serving that, so big, big opportunity. But

0:27:28.600 --> 0:27:32.440
<v Speaker 5>over time all the folks in the industry caught up.

0:27:32.960 --> 0:27:35.880
<v Speaker 5>New York Times is terrific, so is Wall Street Journal,

0:27:35.920 --> 0:27:39.160
<v Speaker 5>so it's business insiders, so it's Bloomberg. These companies are

0:27:39.280 --> 0:27:42.080
<v Speaker 5>really really good at this now. And if you just

0:27:42.160 --> 0:27:46.240
<v Speaker 5>look at, for example, political coverage, we don't need one

0:27:46.320 --> 0:27:50.440
<v Speaker 5>hundred White House reporters, we just don't. And yet that's

0:27:50.520 --> 0:27:52.640
<v Speaker 5>the thing that everybody's interested in, so of course you're

0:27:52.640 --> 0:27:55.159
<v Speaker 5>going to have a reporter focus on that. And yet

0:27:55.560 --> 0:27:57.719
<v Speaker 5>there's just too much capacity. And then the other thing

0:27:57.760 --> 0:28:00.199
<v Speaker 5>that happened, and I'll finished up very quickly, is the

0:28:00.280 --> 0:28:04.680
<v Speaker 5>Internet blew up the protective mote around all of the

0:28:04.760 --> 0:28:08.320
<v Speaker 5>nineteen nineties era media. Print and TV used to be

0:28:08.359 --> 0:28:12.080
<v Speaker 5>completely separate. Now they're the same. You used to not

0:28:12.160 --> 0:28:14.600
<v Speaker 5>have a television company be able to own a newspaper.

0:28:14.800 --> 0:28:17.159
<v Speaker 5>Now we've done away with that. Everybody can own everything,

0:28:17.359 --> 0:28:21.040
<v Speaker 5>everybody can do everything, and it's all a click away.

0:28:21.240 --> 0:28:24.800
<v Speaker 5>So it has become even more intensely competitive. And so

0:28:25.040 --> 0:28:27.760
<v Speaker 5>it's never been an easy industry, but we are back

0:28:27.800 --> 0:28:31.840
<v Speaker 5>to it being an incredibly intensely competitive industry, and I

0:28:31.880 --> 0:28:34.000
<v Speaker 5>do think there's just in general too much of it.

0:28:34.680 --> 0:28:38.160
<v Speaker 4>So when we think about the impact of AI on media,

0:28:38.640 --> 0:28:40.560
<v Speaker 4>it feels to me like people are talking about two

0:28:40.640 --> 0:28:43.120
<v Speaker 4>paths here, and one is where you know, the big

0:28:43.200 --> 0:28:46.000
<v Speaker 4>chat platforms are basically they become the front page of

0:28:46.000 --> 0:28:49.440
<v Speaker 4>the internet, right and you type in whatever query you

0:28:49.520 --> 0:28:52.240
<v Speaker 4>have today, how did the State of the Union address

0:28:52.280 --> 0:28:54.760
<v Speaker 4>go last night or something like that, and it spits

0:28:54.800 --> 0:28:56.840
<v Speaker 4>out a bunch of information that's based on a bunch

0:28:56.840 --> 0:29:00.560
<v Speaker 4>of articles that you, yourself, are not paying for. And

0:29:00.600 --> 0:29:02.600
<v Speaker 4>then the other thing that I hear is well, actually,

0:29:02.640 --> 0:29:06.920
<v Speaker 4>in the age of Internet slop AI slop, that distribution

0:29:07.280 --> 0:29:09.640
<v Speaker 4>and quality is going to become even more important. So

0:29:09.720 --> 0:29:12.000
<v Speaker 4>people are going to want to go to the New

0:29:12.080 --> 0:29:15.160
<v Speaker 4>York Times or hopefully to Bloomberg or wherever and get

0:29:15.320 --> 0:29:18.840
<v Speaker 4>that take on last night's events. Where do you stand

0:29:18.960 --> 0:29:21.800
<v Speaker 4>on that sort of You know, it's a very binary

0:29:21.880 --> 0:29:24.080
<v Speaker 4>outcome to me, which way do you think we're going?

0:29:24.640 --> 0:29:27.760
<v Speaker 5>I think this is great for the brands that make it,

0:29:27.960 --> 0:29:31.479
<v Speaker 5>and again, nobody has a right to exist. It's going

0:29:31.520 --> 0:29:33.640
<v Speaker 5>to be a fight, But for the brands that make it,

0:29:33.640 --> 0:29:38.600
<v Speaker 5>it is terrific. I trust Bloomberg. I read it Bloomberg article.

0:29:38.720 --> 0:29:40.680
<v Speaker 5>I know the reporter knows what they're doing and they

0:29:40.680 --> 0:29:43.760
<v Speaker 5>know the subject. I know there is editing there. Occasionally

0:29:43.760 --> 0:29:46.360
<v Speaker 5>there's a mistake, but it is an honest mistake that

0:29:46.400 --> 0:29:50.320
<v Speaker 5>will be fixed quickly. Compare that to what I see

0:29:50.360 --> 0:29:54.840
<v Speaker 5>on social media, especially now where AI can create photos

0:29:54.880 --> 0:29:57.760
<v Speaker 5>and videos and everything else. I don't know. I know

0:29:57.920 --> 0:30:01.320
<v Speaker 5>the New York Times will immediately dive in if something

0:30:01.360 --> 0:30:05.240
<v Speaker 5>is bubbling up, some video that's apparently scandalous that we've

0:30:05.240 --> 0:30:07.760
<v Speaker 5>all got to look at. I know they'll do work

0:30:07.800 --> 0:30:10.560
<v Speaker 5>on it. Maybe we'll sometime get to the point where

0:30:10.600 --> 0:30:14.480
<v Speaker 5>they can be fooled. Not yet, and so I trust them.

0:30:14.560 --> 0:30:18.160
<v Speaker 5>And you actually need a brand and a great organization

0:30:18.240 --> 0:30:21.120
<v Speaker 5>to do that. And people say, wow, yes, but everybody

0:30:21.160 --> 0:30:23.320
<v Speaker 5>out there, you know, who knows what's true and it's over.

0:30:23.760 --> 0:30:26.320
<v Speaker 5>That has always been the case. At its peak in

0:30:26.400 --> 0:30:30.840
<v Speaker 5>the print era, a million people read The New York Times.

0:30:31.640 --> 0:30:35.480
<v Speaker 5>That's it. Everybody else heard what was said from their friends,

0:30:35.880 --> 0:30:38.560
<v Speaker 5>or they heard something else, they never thought about it.

0:30:38.640 --> 0:30:41.320
<v Speaker 5>And so the idea that yeah, there's stuff out there

0:30:41.400 --> 0:30:44.720
<v Speaker 5>that some people believe, There's always been stuff out there

0:30:44.720 --> 0:30:47.400
<v Speaker 5>that some people believe. So I think it's great for brands,

0:30:47.400 --> 0:30:48.720
<v Speaker 5>but I do think it's gonna be a fight. It's

0:30:48.760 --> 0:30:50.680
<v Speaker 5>never going to be an easy industry talk.

0:30:50.840 --> 0:30:54.160
<v Speaker 3>Just more about this question though, of like, Okay, everyone,

0:30:54.200 --> 0:30:55.800
<v Speaker 3>you know New York Times, like anyone else, they have

0:30:55.840 --> 0:30:57.480
<v Speaker 3>to figure this out, right, They have to figure out,

0:30:57.480 --> 0:30:58.880
<v Speaker 3>like what can they leverage it.

0:30:59.040 --> 0:30:59.960
<v Speaker 1>I'm doing scare quotes.

0:31:00.560 --> 0:31:02.400
<v Speaker 3>I hate that word, you know, but it's like the

0:31:02.440 --> 0:31:04.440
<v Speaker 3>word that everyone used. Could it be leveraged in some

0:31:04.480 --> 0:31:07.640
<v Speaker 3>way in the context of the traditional newsroom AI?

0:31:07.960 --> 0:31:09.440
<v Speaker 1>Yeah, And so.

0:31:09.440 --> 0:31:11.280
<v Speaker 5>Going back to your question, which I realized I didn't

0:31:11.520 --> 0:31:14.080
<v Speaker 5>get to before, So what what should news.

0:31:14.000 --> 0:31:15.040
<v Speaker 1>How do they handle that?

0:31:15.080 --> 0:31:17.880
<v Speaker 3>Like, because everyone here's you have to like run your

0:31:18.000 --> 0:31:21.240
<v Speaker 3>runder text through this chatbot or train your train the

0:31:21.280 --> 0:31:23.320
<v Speaker 3>AI that's going to replace whatever or they feel, you know,

0:31:23.760 --> 0:31:26.720
<v Speaker 3>very reasonable fear, how do you how can anyone overcome that?

0:31:26.960 --> 0:31:30.280
<v Speaker 5>So I think there there is the opportunity for there

0:31:30.320 --> 0:31:33.040
<v Speaker 5>to be a lot of productivity enhancements in what we

0:31:33.120 --> 0:31:36.280
<v Speaker 5>have today. We were talking earlier. You both use research

0:31:36.600 --> 0:31:40.200
<v Speaker 5>chattyp for research. Me too. It's great. That is a

0:31:40.360 --> 0:31:44.520
<v Speaker 5>very different That is one use of media is me

0:31:45.320 --> 0:31:47.920
<v Speaker 5>looking for information going out It used to be that

0:31:47.960 --> 0:31:50.120
<v Speaker 5>I would search for articles. Now I do it with

0:31:50.200 --> 0:31:54.480
<v Speaker 5>Claude or chat GPT. That is a smaller piece than

0:31:54.920 --> 0:31:58.840
<v Speaker 5>what most media has lived on forever, which is I

0:31:58.840 --> 0:32:02.720
<v Speaker 5>don't know what I'm interested in. WHOA, that's an interesting story.

0:32:03.040 --> 0:32:06.840
<v Speaker 5>And that's the serendipitous consumption of media. That's why newspaper

0:32:06.840 --> 0:32:10.400
<v Speaker 5>headlines have been like this forever. It's why magazine covers matter.

0:32:10.800 --> 0:32:12.840
<v Speaker 5>We don't know what we want until we see it,

0:32:13.000 --> 0:32:16.600
<v Speaker 5>and then we get it. And it's why in our

0:32:16.680 --> 0:32:20.440
<v Speaker 5>business there are many different talents you need to be

0:32:20.680 --> 0:32:25.520
<v Speaker 5>extraordinarily talented in the business. One is sure reporting, accuracy, expertise,

0:32:25.600 --> 0:32:27.600
<v Speaker 5>so forth. You also have to know what people care

0:32:27.640 --> 0:32:30.520
<v Speaker 5>about and what a good story is and why it matters.

0:32:31.160 --> 0:32:34.120
<v Speaker 5>And I don't think that changes. And so where do

0:32:34.160 --> 0:32:38.920
<v Speaker 5>we look around the interestry research, drafting stories? Why not?

0:32:39.320 --> 0:32:41.600
<v Speaker 5>And when people are aghast at that, let me just

0:32:41.640 --> 0:32:45.600
<v Speaker 5>say back in the print era, for newspapers, especially a

0:32:45.680 --> 0:32:48.600
<v Speaker 5>daily newspaper, what would happen is the reporters would be

0:32:48.640 --> 0:32:51.480
<v Speaker 5>out in the field, they would get information, they would

0:32:51.760 --> 0:32:54.840
<v Speaker 5>call it into the rewrite desk. Verbally, they didn't have

0:32:54.840 --> 0:32:57.080
<v Speaker 5>anything to write it with. It's just say you're the facts.

0:32:57.280 --> 0:32:59.760
<v Speaker 5>The rewriters would write it. And in the last twenty

0:32:59.840 --> 0:33:03.040
<v Speaker 5>years or thirty years, we who have been trained in

0:33:03.120 --> 0:33:05.280
<v Speaker 5>writing and we value it and we go to Columbia

0:33:05.320 --> 0:33:11.600
<v Speaker 5>Journalism School, we have conflated reporting and writing as journalism.

0:33:11.800 --> 0:33:14.400
<v Speaker 5>And I do think there are opportunities now where Okay,

0:33:14.400 --> 0:33:17.440
<v Speaker 5>the writing lift may may be lightened by this. And

0:33:18.000 --> 0:33:20.880
<v Speaker 5>I'm not saying say here's the article and just publish it.

0:33:21.160 --> 0:33:23.840
<v Speaker 5>I'm just saying, you know what, perplexity is pretty good

0:33:24.280 --> 0:33:29.280
<v Speaker 5>at writing a well informed, well sourced story in six seconds,

0:33:29.880 --> 0:33:33.040
<v Speaker 5>and maybe that actually accelerates what you're doing and then

0:33:33.080 --> 0:33:35.360
<v Speaker 5>maybe you can add your piece to the top or

0:33:35.360 --> 0:33:37.360
<v Speaker 5>what have you. So I do think their uses.

0:33:37.120 --> 0:33:39.760
<v Speaker 4>For it too, So I actually I agree with that argument.

0:33:39.840 --> 0:33:42.959
<v Speaker 4>I think like social skills and investigative skills are going

0:33:43.000 --> 0:33:45.800
<v Speaker 4>to become more important in the age of AI. However,

0:33:46.320 --> 0:33:48.320
<v Speaker 4>what you always hear is, well, you're gonna need You're

0:33:48.360 --> 0:33:50.560
<v Speaker 4>going to need to produce scoops. Right, You're gonna have

0:33:50.600 --> 0:33:53.400
<v Speaker 4>to find the stuff that the models don't already know about,

0:33:53.440 --> 0:33:56.080
<v Speaker 4>and that's going to be the valuable aspect of journalism.

0:33:56.560 --> 0:33:58.680
<v Speaker 4>But the problem seems to be that those scoops get

0:33:58.680 --> 0:34:02.840
<v Speaker 4>commodified so freaking quickly that I'm not sure that actually

0:34:02.920 --> 0:34:05.760
<v Speaker 4>generates much value for the news organization.

0:34:06.320 --> 0:34:10.480
<v Speaker 5>It is very hard to protect news. You can't. But

0:34:11.600 --> 0:34:15.719
<v Speaker 5>the organizations that produce it all the time are gonna

0:34:15.760 --> 0:34:18.400
<v Speaker 5>have a huge advantage because it's going to be worth

0:34:18.560 --> 0:34:21.360
<v Speaker 5>subscribing to them. And that's where That's where the New

0:34:21.440 --> 0:34:23.839
<v Speaker 5>York Times, the Welster Journal, and Bloomberg that's where it's

0:34:23.880 --> 0:34:27.120
<v Speaker 5>coming from. And Bloomberg's an interesting one because you really

0:34:27.239 --> 0:34:33.280
<v Speaker 5>serve a somewhat small but highly committed base where Bloomberg

0:34:33.360 --> 0:34:35.439
<v Speaker 5>reporters are breaking stuff all the time that allow people

0:34:35.480 --> 0:34:37.759
<v Speaker 5>to make or lose money. They're going to care and

0:34:37.800 --> 0:34:41.160
<v Speaker 5>they're gonna have that terminal and chackb is not doing that.

0:34:41.400 --> 0:34:43.520
<v Speaker 5>So part of what I hear you say is wait

0:34:43.560 --> 0:34:48.800
<v Speaker 5>a minute, it has to be differentiated. Yeah, it does. Actually,

0:34:48.840 --> 0:34:50.920
<v Speaker 5>there's a lot less value than there used to be

0:34:51.200 --> 0:34:55.120
<v Speaker 5>in somebody said something interesting, let's write it in an

0:34:55.160 --> 0:34:57.040
<v Speaker 5>intelligent way, do a little more work and get it

0:34:57.080 --> 0:35:00.440
<v Speaker 5>to somebody else. That is not as useful anymore for

0:35:00.480 --> 0:35:04.920
<v Speaker 5>the reason that you describe. But those companies, if they

0:35:04.920 --> 0:35:06.919
<v Speaker 5>want to compete with each other and they do chet,

0:35:06.960 --> 0:35:09.279
<v Speaker 5>GPT and Claude right now, they are going to have

0:35:09.320 --> 0:35:12.160
<v Speaker 5>to pay for that information. And that's where a Bloomberg

0:35:12.280 --> 0:35:15.160
<v Speaker 5>is in great position. And say another thing, it's not

0:35:15.239 --> 0:35:19.600
<v Speaker 5>just the big generalists. It is the niche providers who

0:35:19.600 --> 0:35:23.279
<v Speaker 5>are experts like you guys and do an amazing job

0:35:23.400 --> 0:35:26.359
<v Speaker 5>in a particular area that people really care about. Those

0:35:26.360 --> 0:35:28.080
<v Speaker 5>are gonna Those are going to survive. And I'll say

0:35:28.080 --> 0:35:30.960
<v Speaker 5>one more thing, which is Jeff Bezos was an investor

0:35:31.640 --> 0:35:33.759
<v Speaker 5>and business Cider is incredibly helpful to talk to him,

0:35:33.840 --> 0:35:36.680
<v Speaker 5>very smart. I realize now he's become kind of not

0:35:37.200 --> 0:35:39.880
<v Speaker 5>applauded in the journalims of industry. But one of the

0:35:39.960 --> 0:35:42.560
<v Speaker 5>things that he liked to say is everybody wants to

0:35:42.600 --> 0:35:45.879
<v Speaker 5>know what's changing and what it means. It's actually more

0:35:45.960 --> 0:35:48.719
<v Speaker 5>useful to step back and say what is going to

0:35:48.800 --> 0:35:51.880
<v Speaker 5>stay the same. What is going to stay the same

0:35:52.239 --> 0:35:55.720
<v Speaker 5>in media is that we are always wanted. We're always

0:35:55.719 --> 0:35:58.440
<v Speaker 5>going to want to know what's happening and what it means,

0:35:58.680 --> 0:36:01.239
<v Speaker 5>and we're always going to want to be entertained, and

0:36:01.320 --> 0:36:06.719
<v Speaker 5>that's what media does. It's tough, but until actually there

0:36:06.760 --> 0:36:09.320
<v Speaker 5>are no more humans, we are going to want media

0:36:09.400 --> 0:36:10.040
<v Speaker 5>to deliver that.

0:36:10.120 --> 0:36:10.799
<v Speaker 1>I agree with that.

0:36:11.040 --> 0:36:12.759
<v Speaker 3>You know, there's some really good stories by the way,

0:36:12.800 --> 0:36:15.239
<v Speaker 3>about the like the New York Post and daily news

0:36:15.280 --> 0:36:18.160
<v Speaker 3>like report like the crime reporters out in the fields,

0:36:18.200 --> 0:36:19.799
<v Speaker 3>and then they would call the rewrite desk and then

0:36:19.840 --> 0:36:22.440
<v Speaker 3>they would like translate it into like tabloid to speak

0:36:22.760 --> 0:36:24.719
<v Speaker 3>is a that's a cool, that'd be cool cool.

0:36:24.800 --> 0:36:27.840
<v Speaker 4>I remember sending notes on a BlackBerry in like the

0:36:27.880 --> 0:36:30.120
<v Speaker 4>early two thousands, and then someone in the newsroom would

0:36:30.280 --> 0:36:32.160
<v Speaker 4>translate it into readable words.

0:36:32.600 --> 0:36:34.760
<v Speaker 3>With a few minutes left, I want to talk about

0:36:34.920 --> 0:36:37.200
<v Speaker 3>you mentioned, Jeff Bezos. I want to talk about the

0:36:37.239 --> 0:36:41.520
<v Speaker 3>business environment right now. When President Trump won, there was

0:36:41.560 --> 0:36:44.200
<v Speaker 3>a lot of headlines about you know, these CEOs. They'd

0:36:44.200 --> 0:36:46.279
<v Speaker 3>be like, well, now we free speech, and now we

0:36:46.320 --> 0:36:48.840
<v Speaker 3>can speak our minds and you know, none of this

0:36:48.960 --> 0:36:51.000
<v Speaker 3>woke stuff where we have to like be careful about

0:36:51.000 --> 0:36:53.799
<v Speaker 3>what we speak. And like I get the impression that

0:36:54.280 --> 0:36:56.960
<v Speaker 3>it is literally the exact opposite, and that CEOs have

0:36:57.040 --> 0:37:00.160
<v Speaker 3>never been more scared, there never been more timid, and

0:37:00.200 --> 0:37:02.440
<v Speaker 3>they like are obsequious to him, and they like do

0:37:02.520 --> 0:37:04.080
<v Speaker 3>these big pilgrimages and stuff.

0:37:04.360 --> 0:37:06.240
<v Speaker 1>And meanwhile, we know they hate the tariffs.

0:37:06.280 --> 0:37:08.680
<v Speaker 3>We know they hate all the stuff going on. What

0:37:08.719 --> 0:37:11.319
<v Speaker 3>do you like make of that? Because he's not even

0:37:11.360 --> 0:37:13.520
<v Speaker 3>that popular anymore. He's actually, like, arguably like one of

0:37:13.560 --> 0:37:16.040
<v Speaker 3>the least popular presidents ever. And yet I don't get

0:37:16.080 --> 0:37:18.000
<v Speaker 3>the impression that there's been much of a change in

0:37:18.000 --> 0:37:21.200
<v Speaker 3>the sort of like world of CEOs and rich guys

0:37:21.200 --> 0:37:23.440
<v Speaker 3>and billionaires about speaking their minds.

0:37:23.800 --> 0:37:27.160
<v Speaker 5>Yes, the whole free speech thing was always I want

0:37:27.239 --> 0:37:29.680
<v Speaker 5>more speech than I believe in, so I can say

0:37:29.719 --> 0:37:32.080
<v Speaker 5>whatever I want. You can't say what you want, so

0:37:32.280 --> 0:37:36.920
<v Speaker 5>it was gonna ludicrous. I think that in general, the

0:37:36.960 --> 0:37:40.759
<v Speaker 5>big companies and CEOs, especially because President Trump won the

0:37:40.840 --> 0:37:45.680
<v Speaker 5>last election, clearly they said, Okay, I believe in democracy,

0:37:46.160 --> 0:37:49.200
<v Speaker 5>I'm going to be pragmatic and take care of my

0:37:49.320 --> 0:37:54.400
<v Speaker 5>team and my company. And also for most public company CEOs,

0:37:55.400 --> 0:37:58.759
<v Speaker 5>they are easily removed and they know that. And your

0:37:58.840 --> 0:38:01.359
<v Speaker 5>job is to actually take care of your company and shareholders.

0:38:01.400 --> 0:38:04.600
<v Speaker 5>It is not to be a free speech crusader and

0:38:04.719 --> 0:38:07.640
<v Speaker 5>stand up for your personal thing that you believe in.

0:38:08.080 --> 0:38:10.200
<v Speaker 5>And so I think there was a lot of pragmatism.

0:38:10.719 --> 0:38:13.360
<v Speaker 5>I think that may start to change here. So I

0:38:13.840 --> 0:38:16.360
<v Speaker 5>feel like things have happened in the last few months.

0:38:16.400 --> 0:38:19.080
<v Speaker 5>We may be starting to see a change, but I

0:38:19.080 --> 0:38:21.640
<v Speaker 5>think it is mainly pragmatism. And you can look at

0:38:21.680 --> 0:38:24.200
<v Speaker 5>that from the outside and so that's outrageous, but I

0:38:24.239 --> 0:38:26.359
<v Speaker 5>think they were looking out for their companies and their

0:38:26.400 --> 0:38:27.680
<v Speaker 5>teams and their shareholders.

0:38:28.000 --> 0:38:30.440
<v Speaker 4>I want to go back to media and naval raising

0:38:30.480 --> 0:38:33.200
<v Speaker 4>because I've got more questions, and I actually hesitate to

0:38:33.320 --> 0:38:35.759
<v Speaker 4>ask this one because I fear that your response is

0:38:35.800 --> 0:38:37.359
<v Speaker 4>going to get back to asking Joe and I to

0:38:37.440 --> 0:38:38.640
<v Speaker 4>justify our own salaries.

0:38:38.840 --> 0:38:40.600
<v Speaker 5>I ad, I'm telling you why you're not going to

0:38:40.600 --> 0:38:42.640
<v Speaker 5>be replaced by notebook LM.

0:38:42.840 --> 0:38:46.040
<v Speaker 4>Okay, I'm going to ask you to justify a particular

0:38:46.040 --> 0:38:50.000
<v Speaker 4>paycheck kind of Okay, when you sold Business Insider to

0:38:50.080 --> 0:38:50.880
<v Speaker 4>Axel Springer, what.

0:38:50.920 --> 0:38:53.600
<v Speaker 5>Year was that, twenty fifteen? Twenty fifteen?

0:38:53.640 --> 0:38:57.280
<v Speaker 4>Okay, if you were selling Business Insider to Axel Springer, now,

0:38:58.080 --> 0:39:01.600
<v Speaker 4>how different would your which to them be in twenty

0:39:01.640 --> 0:39:04.120
<v Speaker 4>twenty six versus twenty fifteen.

0:39:05.160 --> 0:39:09.120
<v Speaker 5>I would say that I think one of Business Desiders advantages,

0:39:09.320 --> 0:39:11.799
<v Speaker 5>and Joe was a big part of this was we

0:39:11.800 --> 0:39:16.520
<v Speaker 5>were not trying to defend the old way that journalism

0:39:16.600 --> 0:39:19.359
<v Speaker 5>was done in print and television. We were trying to

0:39:19.440 --> 0:39:23.840
<v Speaker 5>bring rigorous journalism to a new medium where people wanted

0:39:23.880 --> 0:39:28.160
<v Speaker 5>different things, where distribution was very different. So we were

0:39:28.600 --> 0:39:33.799
<v Speaker 5>experimenters and innovators, and for every idea that worked, we

0:39:33.880 --> 0:39:36.959
<v Speaker 5>had twenty five ideas that were dumb and didn't work.

0:39:37.040 --> 0:39:40.120
<v Speaker 5>I take responsibility for all of them. That was the

0:39:40.160 --> 0:39:42.560
<v Speaker 5>only way to figure out what worked. And one of

0:39:42.600 --> 0:39:45.480
<v Speaker 5>the things we noticed relatively early is hey, we can

0:39:45.480 --> 0:39:48.399
<v Speaker 5>figure out what people like and we want to serve them.

0:39:48.560 --> 0:39:50.160
<v Speaker 5>And we did a good job at that, and I

0:39:50.200 --> 0:39:52.080
<v Speaker 5>think that was the that was the thing that made

0:39:52.080 --> 0:39:56.280
<v Speaker 5>businesses that are successful. I think now for all companies,

0:39:56.440 --> 0:39:59.399
<v Speaker 5>stuffing your head in the sand and wishing AI would

0:39:59.400 --> 0:40:02.879
<v Speaker 5>go away is not a great strategy. So what would

0:40:02.960 --> 0:40:05.279
<v Speaker 5>be What can we do? And again, one of the

0:40:05.320 --> 0:40:08.440
<v Speaker 5>things that's changed as Google and Facebook and social have

0:40:09.719 --> 0:40:12.480
<v Speaker 5>totally dried up as sources of distribution is we are

0:40:12.560 --> 0:40:17.680
<v Speaker 5>back in this direct subscriber world, just like magazines and

0:40:17.719 --> 0:40:20.680
<v Speaker 5>newspapers way back in the world. So that is serving

0:40:20.880 --> 0:40:23.360
<v Speaker 5>your subscribers. This is what you, guys do. You have

0:40:23.440 --> 0:40:26.360
<v Speaker 5>this incredibly passionate audience. They know you, they want to

0:40:26.360 --> 0:40:28.600
<v Speaker 5>hear from you every week, and so that's what media

0:40:28.640 --> 0:40:30.279
<v Speaker 5>companies need. To do. So that's what I would say

0:40:30.480 --> 0:40:32.919
<v Speaker 5>is we are as focused as we have ever been

0:40:33.160 --> 0:40:37.600
<v Speaker 5>on serving our readers, viewers, people who love us.

0:40:38.440 --> 0:40:42.960
<v Speaker 3>So you are now in subscribe very subscriber oriented media.

0:40:43.080 --> 0:40:45.880
<v Speaker 1>You have a newsletter, you have a podcast, et cetera.

0:40:46.280 --> 0:40:49.879
<v Speaker 3>Other than realizing like, actually you know editors are good

0:40:49.960 --> 0:40:52.279
<v Speaker 3>and so forth, what else have you learned or what's

0:40:52.320 --> 0:40:56.880
<v Speaker 3>been notable about your own personal journey into subscriber based media.

0:40:56.920 --> 0:40:58.200
<v Speaker 1>What does surprise do well?

0:40:58.239 --> 0:41:00.279
<v Speaker 5>So I give you a I'll think So A lot

0:41:00.320 --> 0:41:02.440
<v Speaker 5>of what I've been doing the last year or two

0:41:02.719 --> 0:41:06.640
<v Speaker 5>is writing novels. This is something I wanted to do forever.

0:41:06.760 --> 0:41:09.520
<v Speaker 5>It's like, Okay, now's the time. And I talked to

0:41:09.560 --> 0:41:11.400
<v Speaker 5>another friend of mine who used to be a screenwriter,

0:41:11.480 --> 0:41:14.279
<v Speaker 5>and I confess that to him. He's like, dude, that

0:41:14.480 --> 0:41:19.920
<v Speaker 5>is crazy. Just go to Claude. Tell Claude what you want,

0:41:20.520 --> 0:41:22.839
<v Speaker 5>and Claude will spit out three hundred and twenty five

0:41:22.880 --> 0:41:26.600
<v Speaker 5>pages and it'll be pretty good. And I don't I

0:41:26.680 --> 0:41:29.200
<v Speaker 5>believe it and it'll take twenty minutes. And so I

0:41:29.239 --> 0:41:31.960
<v Speaker 5>feel like the world's biggest idiot. From a business perspective.

0:41:32.360 --> 0:41:34.839
<v Speaker 5>On the other hand, I did want to do it.

0:41:35.280 --> 0:41:38.359
<v Speaker 5>I'm glad I did it. It's really funny. Tell us

0:41:38.400 --> 0:41:40.879
<v Speaker 5>what's coming out next on It's called The Upgrade. It's

0:41:40.920 --> 0:41:43.440
<v Speaker 5>about a tech billionaire who wants to use AI to

0:41:43.480 --> 0:41:44.320
<v Speaker 5>take over the world.

0:41:44.400 --> 0:41:45.560
<v Speaker 4>That doesn't sound like fiction.

0:41:45.680 --> 0:41:48.080
<v Speaker 5>It's nonfiction, but it'll be out. It's going to be

0:41:48.080 --> 0:41:51.400
<v Speaker 5>out in beta. It's a new form of books a

0:41:51.440 --> 0:41:53.640
<v Speaker 5>screen test. Yes, it's been in alpha for a while.

0:41:53.640 --> 0:41:56.279
<v Speaker 5>A lot of people have read it's different. No, it's

0:41:56.320 --> 0:41:58.120
<v Speaker 5>a book book, but there's gonna be a period. But

0:41:58.440 --> 0:42:00.560
<v Speaker 5>I invite you to read it. Thank you if you

0:42:00.600 --> 0:42:03.000
<v Speaker 5>would send me what you think. And then when I

0:42:03.080 --> 0:42:06.080
<v Speaker 5>publish it for real, it may will have benefited from

0:42:06.120 --> 0:42:09.280
<v Speaker 5>your reading anyway. So I feel like a complete idiot

0:42:09.360 --> 0:42:11.600
<v Speaker 5>for doing it. But what I will say is for

0:42:11.719 --> 0:42:16.440
<v Speaker 5>me as an analyst and writer and speaker, part of

0:42:16.440 --> 0:42:19.400
<v Speaker 5>the joy is the process. Yea, and I learned so

0:42:19.560 --> 0:42:22.480
<v Speaker 5>much and this is what I don't understand about how

0:42:22.520 --> 0:42:24.279
<v Speaker 5>research is going to be conducted. One of the things

0:42:24.320 --> 0:42:26.719
<v Speaker 5>that I was, Hey, write me a research report about

0:42:26.960 --> 0:42:29.520
<v Speaker 5>X six minutes later it comes back. Is better than

0:42:29.520 --> 0:42:31.360
<v Speaker 5>a research report that I would have written as a

0:42:31.880 --> 0:42:34.000
<v Speaker 5>young analyst when I didn't know anything, and it took

0:42:34.040 --> 0:42:36.920
<v Speaker 5>six minutes. So I said, okay, I'm not going to

0:42:36.960 --> 0:42:40.480
<v Speaker 5>write any research reports anymore. But when it took me

0:42:40.680 --> 0:42:43.279
<v Speaker 5>a month to do that as a twenty five year old,

0:42:43.800 --> 0:42:46.960
<v Speaker 5>I learned a lot through that process. And so now

0:42:47.000 --> 0:42:49.320
<v Speaker 5>I don't know how you learn whether you be reading

0:42:49.360 --> 0:42:51.160
<v Speaker 5>the report like I don't. That's the thing I'm really

0:42:51.160 --> 0:42:53.560
<v Speaker 5>struggling with. But I will say so for me, the

0:42:53.640 --> 0:42:56.359
<v Speaker 5>process has been interesting. I hope you like the book.

0:42:56.400 --> 0:42:57.960
<v Speaker 5>If you like it, maybe I'll do another one. That

0:42:57.960 --> 0:43:00.880
<v Speaker 5>would be great. But what I would say is on

0:43:00.960 --> 0:43:03.359
<v Speaker 5>this whole thing, for what are humans going to do?

0:43:04.200 --> 0:43:08.240
<v Speaker 5>You're a chess player. It has been forty years since

0:43:08.280 --> 0:43:12.880
<v Speaker 5>our phones could clabor us in chess. Chess is bigger

0:43:12.920 --> 0:43:16.520
<v Speaker 5>than it is ever true in person. So my hope

0:43:16.600 --> 0:43:20.440
<v Speaker 5>is we have ai research and write stuff that we

0:43:20.480 --> 0:43:23.400
<v Speaker 5>don't really want to do, and we save our writing

0:43:23.600 --> 0:43:26.840
<v Speaker 5>and orating and everything else for the stuff that we

0:43:26.880 --> 0:43:27.880
<v Speaker 5>are really passionate about.

0:43:28.400 --> 0:43:29.160
<v Speaker 1>Henry blogIn.

0:43:29.360 --> 0:43:31.480
<v Speaker 3>Thank you so much and thanks for joining us here

0:43:31.480 --> 0:43:32.680
<v Speaker 3>at all on air Fast.

0:43:32.719 --> 0:43:33.439
<v Speaker 1>There's a lot of fun.

0:43:33.760 --> 0:43:50.040
<v Speaker 4>Thank you so much, Henny. This has been another episode

0:43:50.080 --> 0:43:52.600
<v Speaker 4>of the au Thoughts podcast. I'm Tracy Alloway. You can

0:43:52.640 --> 0:43:54.880
<v Speaker 4>follow me at Tracy Alloway.

0:43:54.560 --> 0:43:57.160
<v Speaker 3>And I'm Joe Wisenthal. You can follow me at The Stalwart.

0:43:57.280 --> 0:44:00.759
<v Speaker 3>Follow our producers Carmen Rodriguez at Carmen armag, dash Ol

0:44:00.760 --> 0:44:03.719
<v Speaker 3>Bennett at Dashbot, and kill Brooks at Kalebrooks. And for

0:44:03.800 --> 0:44:06.680
<v Speaker 3>more odd Laws content, go to Bloomberg dot com slash Oddlogs.

0:44:06.719 --> 0:44:09.200
<v Speaker 3>We've a daily newsletter and all of our episodes, and

0:44:09.239 --> 0:44:11.200
<v Speaker 3>you can chaut about all of these things twenty four

0:44:11.200 --> 0:44:14.520
<v Speaker 3>to seven in our discord Discord dot gg slash od.

0:44:14.520 --> 0:44:17.560
<v Speaker 4>Loots And if you enjoy odd Lots then please leave

0:44:17.640 --> 0:44:21.040
<v Speaker 4>us a positive review on your favorite podcast platform. And remember,

0:44:21.120 --> 0:44:23.480
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0:44:23.560 --> 0:44:26.520
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