WEBVTT - This Is What Happens to Silicon Valley in a Downturn

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Joe Wisenthal and I'm Tracy Alloway. Tracy, you know,

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<v Speaker 1>I don't know what's going on right now with the

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<v Speaker 1>broader I'll let you finish well. There are so many

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<v Speaker 1>different ways that sentence could have done. We could start

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<v Speaker 1>every episode with I don't know what's going on anyway.

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<v Speaker 1>I don't know what's going on right now with the

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<v Speaker 1>broader American economy, but I do sense that the tech

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<v Speaker 1>industry Silicon Valley is in a real downturn. It seems

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<v Speaker 1>so um, I shouldn't laugh, because obviously, for a lot

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<v Speaker 1>of people, this is very very serious. We've had a

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<v Speaker 1>number of tech companies coming out and saying that they're

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<v Speaker 1>going to be firing literally thousands of people in this downturn.

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<v Speaker 1>And what's kind of remarkable about it is this is

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<v Speaker 1>something a lot of people we're kind of expecting. You know,

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<v Speaker 1>these are all growth companies. They tend to do very

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<v Speaker 1>very well during periods of low interest rates. Once rates

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<v Speaker 1>start going up, we see the pressures sort of added on,

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<v Speaker 1>and then we see these cyclical downturns, right and you know,

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<v Speaker 1>like the story of the twenty ten with tech was

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<v Speaker 1>really the first industry to come sort of roaring out

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<v Speaker 1>of the gate, and that recovery and the broader use

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<v Speaker 1>economy never had a great recovery in that decade, but

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<v Speaker 1>tech was absolutely booming. And so there is this flip.

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<v Speaker 1>And you know the other thing is like, when I

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<v Speaker 1>think of Silicon Valley or Tech, you know, I have

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<v Speaker 1>certain ideas of like what a boom looks like and

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<v Speaker 1>all these amazing perks and free dried cleaning and free

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<v Speaker 1>steak dinners if you stay at the office, and free

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<v Speaker 1>bean bags, all of it. I don't have a great

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<v Speaker 1>intuitive sense about what a downturn looks like Silicon Valley, right,

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<v Speaker 1>And I think it's never really been promoted as part

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<v Speaker 1>of Silicon Valley. It's always, you know, come to this place,

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<v Speaker 1>create a start up out of your garage or whatever,

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<v Speaker 1>and become a billionaire and enjoy all this money and

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<v Speaker 1>all these perks. But as we just mentioned, it is

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<v Speaker 1>a cyclical industry. There are as many downturns as there

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<v Speaker 1>are upturns at this point, and yet they don't get

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<v Speaker 1>as much attention. No, there's definitely it's a boom bust industry,

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<v Speaker 1>and you know, I've talked about many times my first

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<v Speaker 1>memory of markets or during the dot com bubble, and

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<v Speaker 1>then there was the bust and we sort of forgot

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<v Speaker 1>about tech for a while and all these companies but

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<v Speaker 1>they kept plugging away. But yeah, I don't know really

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<v Speaker 1>what happens to this industry in a downturn, And I

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<v Speaker 1>think it's like an interesting question. I don't know when

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<v Speaker 1>it will rebound, but right now we're definitely in one. Yeah,

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<v Speaker 1>So we have really the perfect person to talk to

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<v Speaker 1>us about previous downturns. That's right. So we met this

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<v Speaker 1>guest recently. We were out at the Berkeley Forum on

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<v Speaker 1>Corporate Governance and we talked to her there and we

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<v Speaker 1>just had to talk to her again for the podcast

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<v Speaker 1>itself because it's very interesting, someone who's very informed on

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<v Speaker 1>this question. We're going to be speaking with Margaret O'Mara.

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<v Speaker 1>She is a professor of American history at the University

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<v Speaker 1>of Washington and she's also the author of the book

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<v Speaker 1>The Code, Silicon Valley and the Remaking of America. So

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<v Speaker 1>a great person to talk to about the history of

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<v Speaker 1>the valley, the history of tech, and all the changes

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<v Speaker 1>it's undergone. So Margaret, thank you. So much for coming

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<v Speaker 1>on the Odd Lots podcast. It's great to be here.

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<v Speaker 1>Thanks for having me. Yeah, we had to after chatting

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<v Speaker 1>with you recently out in San Francisco, had to have

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<v Speaker 1>you on the show. So you know, we do have

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<v Speaker 1>this idea of like what what what tech, what these

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<v Speaker 1>firms do in the boom times and it sounds pretty great.

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<v Speaker 1>So it's pretty fun. Makes everyone want to flog to

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<v Speaker 1>San Francisco or you know, the valley and be part

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<v Speaker 1>of this world. But uh, we don't really talk about

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<v Speaker 1>the other side as much. We instead we sort of

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<v Speaker 1>forget about it. But obviously there for every boom, there

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<v Speaker 1>must be a bust. Yeah, what goes up must come down.

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<v Speaker 1>Which was actually uh I was reminded of it was

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<v Speaker 1>that was a song of one of the many commercials

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<v Speaker 1>of pets dot com, which was maybe the emblematic dot

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<v Speaker 1>bomb story of the last big notable downtown durn In

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<v Speaker 1>tech which was the dot com boom and then the

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<v Speaker 1>dot com bust. Yeah, this is a cyclical industry. Grows fast,

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<v Speaker 1>grows hot, and uh and then there's a cooling period.

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<v Speaker 1>So I mentioned interest rates in the intro, but you know,

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<v Speaker 1>I don't think it just boils down to that. Can

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<v Speaker 1>you maybe talk about what is the common thread in

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<v Speaker 1>terms of sparking bus in tech, Like, what is it

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<v Speaker 1>that tends to set these things off sets the industry

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<v Speaker 1>into contraction. Yeah, well, there's some things that are very

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<v Speaker 1>particular to the industry, and then there are macroeconomic conditions

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<v Speaker 1>that are that are sparking at two. It's usually you know,

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<v Speaker 1>they're always working in combination. I think a common thread

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<v Speaker 1>is there's a big market run up um and a

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<v Speaker 1>lot of froth and excitement and and excitement about you know,

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<v Speaker 1>companies that are are legitimately you know, minting money by

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<v Speaker 1>doing usually by doing something new and a new class

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<v Speaker 1>of products. And also around that surrounding that some some

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<v Speaker 1>businesses where the you know, fundamentals aren't strong and they're

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<v Speaker 1>being buoyed by this general enthusiasm in the market. We

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<v Speaker 1>saw this in the sixties with what was then called

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<v Speaker 1>space age stocks, all these transistorized electronics that these companies

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<v Speaker 1>kind of the first gen of Silicon Valley companies that

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<v Speaker 1>were very much attached to defense electronics and NASA and

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<v Speaker 1>the space program. You know, so you have a little

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<v Speaker 1>you have some froth, and then of course macro economic

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<v Speaker 1>conditions are are shaping that too. You have low interest

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<v Speaker 1>rates that are giving, you know, incentivizing investors to go

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<v Speaker 1>and play the stock market, and and tech seems like

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<v Speaker 1>a good uh, a good bet. And there's also you know,

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<v Speaker 1>usually a boom is fueled by an entry of a

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<v Speaker 1>new group of companies and particularly platforms and products that

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<v Speaker 1>are high growth, whether it be the space age stocks

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<v Speaker 1>the sixties, or the personal computers of the early nineteen eighties,

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<v Speaker 1>or the commercial Internet of the nineties, or more recently

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<v Speaker 1>and and for quite some time. This is a very

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<v Speaker 1>long boom we're coming off of, you know, the big

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<v Speaker 1>platform companies of quote unquote big tech. So you kind

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<v Speaker 1>of need this sort of like nice confluence of story

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<v Speaker 1>in macro, like you need the investor enthusiasm. Low rates

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<v Speaker 1>probably help in some way, but there also has to

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<v Speaker 1>be like a thing that people get excited about for

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<v Speaker 1>because low rates itself, what did you know we're talking about,

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<v Speaker 1>like it kind of joked about, like the bean bags

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<v Speaker 1>and all the perks. Isn't that always been part of

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<v Speaker 1>the booms? Like how long have they been sitting on

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<v Speaker 1>bean bags out there? Maybe sitting on bean bags for

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<v Speaker 1>a while Um, I mean the bean bag goes back

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<v Speaker 1>to the early seventies. Uh. And and you know it's

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<v Speaker 1>this it's this interesting kind of but you know, if

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<v Speaker 1>you think about maybe not bean bags themselves, but this

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<v Speaker 1>idea of a different sort of corporate culture, more informal

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<v Speaker 1>corporate culture, non hierarchical get that goes way back. I

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<v Speaker 1>mean in in case of the Valley, you know, you

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<v Speaker 1>can maybe start that with Hewlett and Packard and the

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<v Speaker 1>famous HP way, the what they called management by walking

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<v Speaker 1>around no corner offices, shirt sleeves. Tie ties still had ties,

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<v Speaker 1>but we took off the jacket. Um. And this was

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<v Speaker 1>in the nineteen fifties. You know, Hewlett Packard was you know,

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<v Speaker 1>founded in a garage, iconic garage startup in nineteen thirty nine.

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<v Speaker 1>By the fifties, it's a publicly traded company. It's extremely successful.

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<v Speaker 1>And Hewlett and Packard are very kind of self consciously

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<v Speaker 1>working against the organization man paradigm that was the you know,

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<v Speaker 1>that was corporate capitalism in the nineteen fifties. So so that, um,

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<v Speaker 1>you know, setting that creating a culture where management and

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<v Speaker 1>the rank and file engineers are all kind of on

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<v Speaker 1>the same side is uh. It's taking the culture of

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<v Speaker 1>the engineering lab and transferring that into a corporation. And

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<v Speaker 1>it also was you know, I think philosophically too, it

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<v Speaker 1>was this was the high water mark of private sector unionization.

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<v Speaker 1>People like like Dave Packard, we're very much against unions,

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<v Speaker 1>just saw them as you know, that's a sign that

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<v Speaker 1>something's wrong with a company if if you can't find

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<v Speaker 1>a way to get along, and that instead that employees

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<v Speaker 1>of all rank should be rewarded with stock options, they

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<v Speaker 1>should have a stake in the ownership of the company.

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<v Speaker 1>So it was a different model and that that kind

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<v Speaker 1>of percolates through I mean HP, there are a lot

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<v Speaker 1>of HP veterans that go on to start venture firms,

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<v Speaker 1>start other companies, and they bring that laid back California

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<v Speaker 1>more sort of ostensibly egalitarian and corporate culture with them.

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<v Speaker 1>Can you give us some examples of what companies tend

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<v Speaker 1>to do during an industry downturn, Like, is there a

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<v Speaker 1>typical playbook that stands out to you with your you know,

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<v Speaker 1>decades of historic knowledge, or like does it tend to

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<v Speaker 1>vary by firm and firm culture, So for instance, I

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<v Speaker 1>could see, you know, if your business starts coming under pressure.

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<v Speaker 1>There's obviously an incentive to cut back on spending, maybe

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<v Speaker 1>start to trim your workforce and lay people off. But

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<v Speaker 1>there might also be some companies that are especially aggressive

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<v Speaker 1>and decide we're going to try to write this out

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<v Speaker 1>as much as we can and just use this as

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<v Speaker 1>an opportunity to take market share. Yeah, and I think

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<v Speaker 1>it depends a lot on the financial position you're coming

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<v Speaker 1>into the downturn with, and and particularly if you're an

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<v Speaker 1>early stage company. I point to Google as the you know,

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<v Speaker 1>the ultimate example of a company that benefited from a downturn,

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<v Speaker 1>notably the dot com bust. Google's founded in kind of

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<v Speaker 1>late on the cycle of the hype cycle of all

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<v Speaker 1>these dot com startups, and they secure this unbelievable seed

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<v Speaker 1>round of million dollars split fifty fifty between Kleiner and Sequoia,

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<v Speaker 1>which you know, these big firms don't do deals together,

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<v Speaker 1>but everyone wanted an end and so they had, you know,

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<v Speaker 1>they kind of had this foundational capital. And then the

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<v Speaker 1>all of these other companies go out of business. And

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<v Speaker 1>two things that you need back then in two thousand

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<v Speaker 1>one or so is you need people. Ever you always

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<v Speaker 1>need people, um, and so Google is able to acquire

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<v Speaker 1>engineers for less than they would have had to pay otherwise.

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<v Speaker 1>And also just you know, the talent was now available,

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<v Speaker 1>there was more oxygen in the labor market. And they

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<v Speaker 1>also needed computing power. This is before cloud computing, right,

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<v Speaker 1>that is when you had to go buy a piece

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<v Speaker 1>of hardware and server blades and high powered CPUs to

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<v Speaker 1>to power your search engine. And so they were able

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<v Speaker 1>to do that as well. They were the sort of

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<v Speaker 1>their capital expenditures ultimately gave them a lot more runway

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<v Speaker 1>and a lot more time to not have to turn

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<v Speaker 1>a profit. Was you know, they were really advantaged by that.

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<v Speaker 1>And you know, I think thinking about kind of company

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<v Speaker 1>behavior in a downturn. You know, we see when we

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<v Speaker 1>talk about Silicon valley, oftentimes we're thinking about the very

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<v Speaker 1>big consumer facing platforms, right, the ones that ordinary people

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<v Speaker 1>were that were interacting with every day. And there are

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<v Speaker 1>many different Silicon valleys, There many different parts of the

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<v Speaker 1>of the whole industry. If you look at the dot

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<v Speaker 1>com bust, for example, there were companies, you know, semiconductor

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<v Speaker 1>companies that were still hiring people. There were other you know,

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<v Speaker 1>hardware kind of the people who were doing the fundamentals

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<v Speaker 1>were still there was that the transition to commercial internet

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<v Speaker 1>was still very much underway. There was a lot of

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<v Speaker 1>real there were so many, you know, important use cases

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<v Speaker 1>that have been proven in the early days of the

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<v Speaker 1>commercial Internet that there was still a lot to be

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<v Speaker 1>done and a lot of business to be had. It

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<v Speaker 1>was just these very giant, you know, splashy consumer facing

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<v Speaker 1>websites and and platforms that went out of business that

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<v Speaker 1>were the ones that got a lot of the menine

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<v Speaker 1>what about you know, just in terms of so layoffs

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<v Speaker 1>and other restructurings. Do the bean bags go away? Do

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<v Speaker 1>do the ties come on? Like like, is there a

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<v Speaker 1>sort of I don't know, reun liberalization of culture in

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<v Speaker 1>a downturn where it's like, okay, we have to get

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<v Speaker 1>serious here. Yeah, you know, I think that the I

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<v Speaker 1>wouldn't say the ties come back on. There have been

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<v Speaker 1>times when the ties come back on, you know, I

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<v Speaker 1>think the most the standout example is is Apple. If

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<v Speaker 1>you go back to the eighties, the mid eighties Apple,

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<v Speaker 1>when it's growing fast, John Scully is brought in from

0:12:33.679 --> 0:12:37.080
<v Speaker 1>Pepsi as this literally the guy in the suit. So

0:12:37.120 --> 0:12:39.200
<v Speaker 1>that's a great example. Could we have like, right, could

0:12:39.200 --> 0:12:41.200
<v Speaker 1>we all have this perception of Steve Jobs, and then

0:12:41.200 --> 0:12:43.199
<v Speaker 1>they bring in a Pepsi executive to running Yeah, the

0:12:43.200 --> 0:12:45.160
<v Speaker 1>guy who sold sugar water. Yeah, there was lots of

0:12:45.160 --> 0:12:47.760
<v Speaker 1>lots of grumbling about that. And then of course, kind

0:12:47.760 --> 0:12:51.760
<v Speaker 1>of spectacularly and famously infamously, he and the board fire

0:12:51.920 --> 0:12:57.120
<v Speaker 1>Steve Jobs shortly thereafter, because Max sales that the Macintosh

0:12:57.200 --> 0:13:00.160
<v Speaker 1>comes out with a splash. We all remember that per

0:13:00.200 --> 0:13:03.440
<v Speaker 1>Bowl add the iconic Super Bowl ad and the Mac

0:13:03.679 --> 0:13:06.920
<v Speaker 1>being this game changer. But what's forgotten in that story

0:13:07.000 --> 0:13:09.120
<v Speaker 1>is that it had a big splash but actually did

0:13:09.160 --> 0:13:12.439
<v Speaker 1>not kind of flatlined a bit. It wasn't another Apple, too,

0:13:12.480 --> 0:13:16.360
<v Speaker 1>which was the first giant hit that Apple had, and

0:13:16.559 --> 0:13:20.000
<v Speaker 1>Apple was getting IBM had gotten into the personal computer business.

0:13:20.000 --> 0:13:23.240
<v Speaker 1>Remember with those Charlie Chaplain ads that were everywhere. Anyone

0:13:23.240 --> 0:13:25.760
<v Speaker 1>who was, you know, around in the nineteen eighties might

0:13:25.760 --> 0:13:29.080
<v Speaker 1>remember those. And so they were eating Apple's lunch, and

0:13:29.160 --> 0:13:30.920
<v Speaker 1>so so Scully, you know, the suits are brought in,

0:13:31.440 --> 0:13:33.840
<v Speaker 1>Jobs is fired, and then Apple has a pretty dismal

0:13:33.880 --> 0:13:38.040
<v Speaker 1>decade after that, and Jobs comes back and it is

0:13:38.040 --> 0:13:41.240
<v Speaker 1>brought back in CEO, and then after that it's up

0:13:41.280 --> 0:13:45.320
<v Speaker 1>into the right and that arc. Actually I think has

0:13:45.480 --> 0:13:49.040
<v Speaker 1>um squashed the suits and so so to speak, that

0:13:49.120 --> 0:13:52.000
<v Speaker 1>the answer. But I think to your question, there is

0:13:52.040 --> 0:13:56.520
<v Speaker 1>a real, you know, more conservatism in terms of spending

0:13:56.720 --> 0:13:59.040
<v Speaker 1>and due diligence. I think, you know, the tail that

0:13:59.080 --> 0:14:03.120
<v Speaker 1>always wags valley dog is venture capital. Right, Um, what

0:14:03.160 --> 0:14:06.680
<v Speaker 1>are the vcs doing? What are they hunting? How much

0:14:06.920 --> 0:14:09.199
<v Speaker 1>you know, what are they spending on? How much do

0:14:09.240 --> 0:14:13.480
<v Speaker 1>they have to spend? And they are really kind of

0:14:13.600 --> 0:14:16.520
<v Speaker 1>driving what you know, first, they're picking the winners or

0:14:16.559 --> 0:14:19.600
<v Speaker 1>the potential winners, and they're also you know, what they're

0:14:19.600 --> 0:14:24.520
<v Speaker 1>demanding of of founders and their portfolio. Companies will change

0:14:24.520 --> 0:14:26.920
<v Speaker 1>in a downturn and there'll be a lot less tolerance

0:14:27.000 --> 0:14:31.280
<v Speaker 1>for the splashy parties with ice sculptures, for sure. This

0:14:31.400 --> 0:14:35.000
<v Speaker 1>was something that Jason Callicanis brought up on our podcast,

0:14:35.040 --> 0:14:37.960
<v Speaker 1>which was, you know, it's easy to criticize a lot

0:14:38.000 --> 0:14:42.160
<v Speaker 1>of tech companies for expanding too much during the boom,

0:14:42.240 --> 0:14:46.080
<v Speaker 1>but his point was this is what investors, ie venture

0:14:46.120 --> 0:14:49.160
<v Speaker 1>capital was asking of them. They was all about growing

0:14:49.200 --> 0:14:52.560
<v Speaker 1>market share and it's not until you know, things start

0:14:52.680 --> 0:14:56.359
<v Speaker 1>to pull back that there's really that pressure on companies

0:14:56.400 --> 0:15:02.200
<v Speaker 1>to maybe either start spending money or actually produce a profit. Yeah,

0:15:02.320 --> 0:15:06.440
<v Speaker 1>that's exactly right. The venture capital world m is you know,

0:15:06.440 --> 0:15:08.880
<v Speaker 1>a lot of these vcs were once operators to right,

0:15:09.000 --> 0:15:11.120
<v Speaker 1>so you know where do vcs come from? And some

0:15:11.200 --> 0:15:13.520
<v Speaker 1>of them are have backgrounds in banking, but some of

0:15:13.520 --> 0:15:16.360
<v Speaker 1>them were founders themselves or people who were you know,

0:15:16.440 --> 0:15:19.320
<v Speaker 1>part of the core teams of companies that were very

0:15:19.320 --> 0:15:21.680
<v Speaker 1>successful and they turned that into the you know, the

0:15:21.760 --> 0:15:24.480
<v Speaker 1>high tech venture capital model. The Silicon Valley style of

0:15:24.520 --> 0:15:27.760
<v Speaker 1>venture capital model that starts in the sixties is is

0:15:27.800 --> 0:15:30.480
<v Speaker 1>one that is not just money, it's expertise, and it's

0:15:30.600 --> 0:15:35.320
<v Speaker 1>and it's importing very particular type of culture and cultural

0:15:35.400 --> 0:15:38.960
<v Speaker 1>values that is very growth focused, moving fast and break things.

0:15:39.200 --> 0:15:42.920
<v Speaker 1>Breaking things has been a Silicon Valley mantra since the

0:15:42.960 --> 0:15:47.120
<v Speaker 1>early years of the semiconductor industry because by necessity you

0:15:47.160 --> 0:15:49.960
<v Speaker 1>had to move really fast and be incredibly agile and

0:15:50.080 --> 0:15:53.600
<v Speaker 1>lean and ready to pivot at any moment and moving

0:15:54.320 --> 0:15:56.840
<v Speaker 1>really aggressively to get a chunk of the market. And

0:15:56.880 --> 0:16:01.840
<v Speaker 1>so that sensibility has uh even you know, the hyper

0:16:01.880 --> 0:16:04.280
<v Speaker 1>focus on growth. I think that's that that that's the

0:16:04.320 --> 0:16:06.480
<v Speaker 1>origins of that and that you know, and of course

0:16:06.480 --> 0:16:09.840
<v Speaker 1>that was an utterly different business than than what the

0:16:10.280 --> 0:16:13.120
<v Speaker 1>dominant business of Silicon Valley, which you know, software dominant

0:16:13.120 --> 0:16:17.080
<v Speaker 1>dominant rather than hardware dominant. But nonetheless, I think founders

0:16:17.080 --> 0:16:19.960
<v Speaker 1>get a lot of heat for excess, but someone gave

0:16:20.040 --> 0:16:22.120
<v Speaker 1>them the money to do it. So I think it

0:16:22.160 --> 0:16:25.920
<v Speaker 1>was like the day we met in San Francisco several

0:16:25.920 --> 0:16:27.680
<v Speaker 1>weeks ago or maybe the day after, and it was

0:16:27.720 --> 0:16:31.880
<v Speaker 1>just like the complete implosion of f t X. And

0:16:32.000 --> 0:16:34.400
<v Speaker 1>the reason I ask is, you know, one of the

0:16:34.520 --> 0:16:37.840
<v Speaker 1>other things that's sort of like crumbling here. And again

0:16:37.880 --> 0:16:40.000
<v Speaker 1>I don't know if it's how cyclical it is, but

0:16:40.120 --> 0:16:43.240
<v Speaker 1>you know, I associate Silicon Valley with this like the

0:16:43.360 --> 0:16:46.880
<v Speaker 1>cult of the individual, the individual founder, particularly so the

0:16:46.960 --> 0:16:51.160
<v Speaker 1>f SBF cult obviously the Steve Jobs called maybe the

0:16:51.160 --> 0:16:54.040
<v Speaker 1>Mark Zuckerberg cult at some point the Elon Musk cult.

0:16:54.320 --> 0:16:57.280
<v Speaker 1>Who started that? Where did that come from? The yeah,

0:16:57.360 --> 0:17:01.120
<v Speaker 1>where did that come from? Well? That is really deep roots.

0:17:01.200 --> 0:17:03.640
<v Speaker 1>I mean I think this is you know, this goes

0:17:03.720 --> 0:17:08.479
<v Speaker 1>extends beyond and before the Valley itself and kind of

0:17:08.560 --> 0:17:12.840
<v Speaker 1>American culture, American political culture a a a nation born

0:17:12.920 --> 0:17:17.840
<v Speaker 1>of revolution and uh that is always lifted up and

0:17:18.240 --> 0:17:21.600
<v Speaker 1>mythologized the you know, the so called self made man

0:17:21.880 --> 0:17:24.560
<v Speaker 1>um you know, the since the nineteenth century, I mean

0:17:24.600 --> 0:17:26.600
<v Speaker 1>that this has been these you know, the heroes have

0:17:26.680 --> 0:17:30.600
<v Speaker 1>been these, these you know, individual geniuses, whether it be

0:17:31.119 --> 0:17:35.239
<v Speaker 1>Thomas Edison or or you know, going forward and and

0:17:35.280 --> 0:17:37.680
<v Speaker 1>of course the you know, the real story is whether

0:17:37.760 --> 0:17:41.800
<v Speaker 1>it's John Wayne style Cowboy or the great inventor Edison.

0:17:41.840 --> 0:17:46.720
<v Speaker 1>They yes, you have an iconic, charismatic, extraordinary individual, but

0:17:46.880 --> 0:17:51.760
<v Speaker 1>also you have an individual who's got good timing, has connections,

0:17:51.840 --> 0:17:54.480
<v Speaker 1>has a whole team behind them that is part of

0:17:54.520 --> 0:17:58.480
<v Speaker 1>an ecosystem. And that the secret of Silicon Valley is

0:17:58.600 --> 0:18:02.240
<v Speaker 1>the fact that it's this extraordinary ecosystem and networks of

0:18:02.280 --> 0:18:05.040
<v Speaker 1>people again that you know, we think about, you know,

0:18:05.119 --> 0:18:08.439
<v Speaker 1>these these founders, whether it be uh, you know, Jobs

0:18:08.560 --> 0:18:10.920
<v Speaker 1>or Musk or you know, on and on and on.

0:18:11.480 --> 0:18:15.200
<v Speaker 1>They're all people who you know, of of standout talent

0:18:15.320 --> 0:18:19.119
<v Speaker 1>that also were lucky and had had some help and

0:18:19.240 --> 0:18:23.159
<v Speaker 1>have a team. And I think Jobs and Apple are

0:18:23.320 --> 0:18:25.960
<v Speaker 1>really great example, um when we go back to the

0:18:26.000 --> 0:18:29.520
<v Speaker 1>beginning of Apple found you know, founded in a garage

0:18:29.680 --> 0:18:34.240
<v Speaker 1>like many a computer startup at that moment, and Jobs

0:18:34.240 --> 0:18:36.600
<v Speaker 1>and was um were like you know, there were a

0:18:36.640 --> 0:18:38.840
<v Speaker 1>lot of guys doing what they were doing. Some of

0:18:38.880 --> 0:18:44.199
<v Speaker 1>them were in fact building technically better machines. But what

0:18:44.400 --> 0:18:47.800
<v Speaker 1>none of those other ones had was Steve Jobs. Not

0:18:47.960 --> 0:18:51.200
<v Speaker 1>Steve Jobs his own capacity to do all this himself,

0:18:51.560 --> 0:18:54.040
<v Speaker 1>but the fact that he recognized in his you know,

0:18:54.119 --> 0:18:57.200
<v Speaker 1>while he's still walking around barefoot with his beard, that

0:18:57.440 --> 0:18:59.639
<v Speaker 1>he needed to hire the very best marketing person in

0:18:59.680 --> 0:19:01.600
<v Speaker 1>the valve, like he needed to get the very best

0:19:01.680 --> 0:19:05.080
<v Speaker 1>venture capitalist. He needed to get a really good operator

0:19:05.119 --> 0:19:07.320
<v Speaker 1>with experience he could take them from a garage and

0:19:07.320 --> 0:19:10.720
<v Speaker 1>turn them into a real company. And that is what

0:19:10.760 --> 0:19:15.680
<v Speaker 1>he did, and all those people made Apple into what

0:19:15.720 --> 0:19:18.919
<v Speaker 1>Apple was and allowed Jobs to be the storyteller in

0:19:19.000 --> 0:19:22.679
<v Speaker 1>chief and be the ultimately the transformative figure he became.

0:19:24.119 --> 0:19:27.520
<v Speaker 1>So I have a slightly different crypto related question. But

0:19:27.640 --> 0:19:31.000
<v Speaker 1>since you brought up, since you brought up personal computing,

0:19:31.119 --> 0:19:33.800
<v Speaker 1>and this is something that stands out in your book,

0:19:33.880 --> 0:19:37.000
<v Speaker 1>this idea that Silicon Valley time and time again kind

0:19:37.040 --> 0:19:40.840
<v Speaker 1>of frames these new technologies as some sort of revolution.

0:19:41.000 --> 0:19:45.160
<v Speaker 1>So the personal computer was going to revolutionize our work lives,

0:19:45.640 --> 0:19:51.080
<v Speaker 1>the dot com boom was going to revolutionize access to information.

0:19:51.400 --> 0:19:55.840
<v Speaker 1>Crypto was going to be this big new financial system.

0:19:55.880 --> 0:19:59.920
<v Speaker 1>And yet with every boom, you know, as we've been discussing,

0:20:00.119 --> 0:20:03.000
<v Speaker 1>there does tend to be a bust and a lot

0:20:03.040 --> 0:20:07.600
<v Speaker 1>of disappointment. Can the tech sector can silicon value like

0:20:07.960 --> 0:20:14.840
<v Speaker 1>maintain this revolutionary narrative or this revolutionary idea if people

0:20:14.880 --> 0:20:19.280
<v Speaker 1>are sort of becoming more experienced with booms and bust

0:20:19.320 --> 0:20:22.320
<v Speaker 1>or maybe it's just me getting older, but it feels

0:20:22.320 --> 0:20:24.720
<v Speaker 1>like we've gone through a number of these disappointments at

0:20:24.720 --> 0:20:28.040
<v Speaker 1>this time. Yeah, we have, but yet we we key

0:20:28.119 --> 0:20:32.639
<v Speaker 1>up again. Um. You know, the revolutionary declarations are always

0:20:33.000 --> 0:20:37.520
<v Speaker 1>somewhat overblown. But also you know, think about all the

0:20:37.560 --> 0:20:42.639
<v Speaker 1>devices we're using, um, even to conduct this conversation, and um,

0:20:42.680 --> 0:20:47.040
<v Speaker 1>they it is extraordinary the rate of technological growth and

0:20:47.640 --> 0:20:50.600
<v Speaker 1>development of computer hardware and software in a very short

0:20:50.640 --> 0:20:52.879
<v Speaker 1>amount of time. And so some of the storytelling and

0:20:52.920 --> 0:20:56.119
<v Speaker 1>the hype and the amount of capital that's been infused

0:20:56.240 --> 0:20:59.720
<v Speaker 1>to make that come to be has you know, there's

0:20:59.760 --> 0:21:03.120
<v Speaker 1>there's a there's a they're there. You know, it's interesting

0:21:03.160 --> 0:21:06.119
<v Speaker 1>and one of the hallmarks of these you know, the

0:21:06.440 --> 0:21:09.479
<v Speaker 1>latest generation of revolutionaries is in a way they're they're

0:21:09.520 --> 0:21:13.719
<v Speaker 1>answering a problem, they're fixing the errors of a past generation,

0:21:14.000 --> 0:21:17.399
<v Speaker 1>whether it be uh, Steve Jobs or Bill Gates, as

0:21:17.480 --> 0:21:20.680
<v Speaker 1>these new style CEO s rising up like phoenix is

0:21:20.720 --> 0:21:23.600
<v Speaker 1>out of the ashes of stagflation in the seventies when

0:21:24.119 --> 0:21:27.600
<v Speaker 1>big business and C suites of all kinds were pretty unpopular.

0:21:27.840 --> 0:21:31.040
<v Speaker 1>And here's something very very different, kind of promising to

0:21:31.119 --> 0:21:33.840
<v Speaker 1>change the world and empower you. Um, these are the

0:21:33.880 --> 0:21:37.119
<v Speaker 1>new types of business enterprise that are so alluring in

0:21:37.440 --> 0:21:41.879
<v Speaker 1>many different ways to politicians and media and two ordinary

0:21:41.960 --> 0:21:44.679
<v Speaker 1>users and to a kind of baby boomers who are

0:21:44.760 --> 0:21:47.600
<v Speaker 1>kind of looking for self actualization in there the things

0:21:47.640 --> 0:21:50.000
<v Speaker 1>they buy and now have the income to buy it.

0:21:50.640 --> 0:21:53.959
<v Speaker 1>And if you fast forward, even just looking reflecting on

0:21:54.280 --> 0:21:57.600
<v Speaker 1>FTX and same bank and Freed and his very very

0:21:57.680 --> 0:22:01.159
<v Speaker 1>rapid downfall, you know, part of his rapid ascent was,

0:22:01.680 --> 0:22:03.919
<v Speaker 1>you know, bankman Freed was not only a you know,

0:22:03.960 --> 0:22:06.560
<v Speaker 1>he's he's rising at a time when when the the

0:22:06.640 --> 0:22:10.960
<v Speaker 1>last generation of wonder boys are starting to get more tarnished.

0:22:11.160 --> 0:22:14.560
<v Speaker 1>Right that there's the tech lash, there's critique of of

0:22:14.640 --> 0:22:18.359
<v Speaker 1>Zuckerberg and and Um and Bezos and these other people

0:22:18.400 --> 0:22:22.320
<v Speaker 1>who once were at one time viewed more generally uncritically.

0:22:22.760 --> 0:22:25.760
<v Speaker 1>And and also you know, I think SBF was a

0:22:25.800 --> 0:22:27.840
<v Speaker 1>standout in the crypto world where there were a lot

0:22:27.880 --> 0:22:30.879
<v Speaker 1>of people that seemed like hustlers, you know to the

0:22:30.920 --> 0:22:35.199
<v Speaker 1>outside observer, and here was someone who seemed more you know,

0:22:35.400 --> 0:22:39.320
<v Speaker 1>was proclaiming, you know, he was philanthropic, altruistic, and a

0:22:39.359 --> 0:22:44.680
<v Speaker 1>lot of blue chip investors and leading vcs bought into

0:22:44.680 --> 0:22:48.800
<v Speaker 1>that very in a very very big way. So you know,

0:22:48.840 --> 0:22:51.879
<v Speaker 1>it sounds like another you know Tracy as like, well, okay,

0:22:51.920 --> 0:22:54.439
<v Speaker 1>you see these booms and busts over the time, and

0:22:54.560 --> 0:22:58.160
<v Speaker 1>there's the tech lash and everything, and then it's like, okay,

0:22:58.440 --> 0:23:01.760
<v Speaker 1>you know, the sort of like see do failed crypto revolution.

0:23:01.800 --> 0:23:04.640
<v Speaker 1>You go cynical over time. But I take it another

0:23:05.600 --> 0:23:09.080
<v Speaker 1>theme of silicon values. Every downturn, people think, oh, this

0:23:09.119 --> 0:23:11.600
<v Speaker 1>time it's over, Like that was the last boom and

0:23:11.680 --> 0:23:14.840
<v Speaker 1>this is the final post. Yeah. If I had a

0:23:14.880 --> 0:23:19.280
<v Speaker 1>dollar for every premature obituary that's been written, I mean

0:23:19.320 --> 0:23:22.080
<v Speaker 1>for over the years. At the end of the nineteen sixties,

0:23:22.240 --> 0:23:27.960
<v Speaker 1>the stock markets cooling, um, the the defense spending um

0:23:28.000 --> 0:23:31.679
<v Speaker 1>that once was driving so much of the really almost

0:23:31.680 --> 0:23:34.440
<v Speaker 1>the entirety of the economy of the valley is contracting,

0:23:34.520 --> 0:23:39.159
<v Speaker 1>and Vietnam is Vietnam and deeply unpopular. And and so

0:23:39.359 --> 0:23:43.359
<v Speaker 1>Lockheed which was the you know locked now lockeed Martin,

0:23:43.480 --> 0:23:46.440
<v Speaker 1>then just Lockheed, which was by the way, the biggest

0:23:46.960 --> 0:23:49.600
<v Speaker 1>employer in the valley from the mid fifties through the

0:23:49.680 --> 0:23:52.359
<v Speaker 1>end of the Cold War. It's Space and Missile's division

0:23:52.400 --> 0:23:55.760
<v Speaker 1>that was down in Sunny Vale. They laid off thousands

0:23:55.800 --> 0:23:59.120
<v Speaker 1>of workers and there were you know, local press was like,

0:23:59.160 --> 0:24:02.320
<v Speaker 1>well that's it. It was fun, alright, guess we're guess

0:24:02.320 --> 0:24:05.000
<v Speaker 1>we're moving on. And the same in the seventies when

0:24:05.320 --> 0:24:08.640
<v Speaker 1>vcs could just not get not raise funds at all.

0:24:08.680 --> 0:24:12.560
<v Speaker 1>There was just no money. They were resorting to desperate

0:24:12.560 --> 0:24:15.879
<v Speaker 1>measures like licensing their technology to Japanese companies, which ten

0:24:15.960 --> 0:24:20.320
<v Speaker 1>years later they really regretted. But even at the in

0:24:20.400 --> 0:24:23.760
<v Speaker 1>the late eighties, end of the Cold War, you know,

0:24:23.880 --> 0:24:29.000
<v Speaker 1>defense again, defense spending contracts dramatically. That was California's thrown

0:24:29.000 --> 0:24:31.320
<v Speaker 1>into a mini recession in the early nineties because of that,

0:24:31.520 --> 0:24:33.800
<v Speaker 1>you know, and also the PC market, which was ghosts

0:24:33.920 --> 0:24:37.359
<v Speaker 1>was so hot, had kind of plateaued and there was

0:24:37.400 --> 0:24:40.879
<v Speaker 1>no next thing that was clearly there. And then a

0:24:40.880 --> 0:24:44.160
<v Speaker 1>few years later you have the commercial Internet, so so

0:24:44.359 --> 0:24:46.880
<v Speaker 1>you know, the out of the ashes comes something new.

0:24:47.160 --> 0:24:49.880
<v Speaker 1>But it's very easy to could declare it's all over,

0:24:50.200 --> 0:24:53.000
<v Speaker 1>um and I and and now what's really interesting? I

0:24:53.000 --> 0:24:55.000
<v Speaker 1>think what's I think it is important while we make

0:24:55.000 --> 0:24:59.640
<v Speaker 1>these historical comparisons to to show some contrast between then

0:24:59.640 --> 0:25:01.760
<v Speaker 1>and now out I mean, now we have the scale

0:25:01.840 --> 0:25:04.439
<v Speaker 1>is much bigger, The impact is much more significant. You know,

0:25:04.640 --> 0:25:07.440
<v Speaker 1>the scale of everything, whether it be hiring or layoffs,

0:25:07.480 --> 0:25:10.960
<v Speaker 1>is much bigger. And the way in which these companies

0:25:11.080 --> 0:25:15.760
<v Speaker 1>are affecting kind of every dimension of our lives and

0:25:16.400 --> 0:25:19.480
<v Speaker 1>the global economy is is at a scale that wasn't

0:25:19.480 --> 0:25:38.919
<v Speaker 1>even present in the dot com boom or bust. Another

0:25:39.000 --> 0:25:42.000
<v Speaker 1>thing that's happening now, and you know, we've obviously been

0:25:42.040 --> 0:25:46.160
<v Speaker 1>focused on the retrenchment of venture capital and private investment,

0:25:46.240 --> 0:25:48.080
<v Speaker 1>but one thing that's happening now is you have a

0:25:48.080 --> 0:25:51.199
<v Speaker 1>lot of government investment coming on stream, and you have

0:25:51.359 --> 0:25:55.160
<v Speaker 1>things like the Chips Act, which basically aims billions, if

0:25:55.200 --> 0:25:58.800
<v Speaker 1>not trillions of dollars at ramping up US chip making

0:25:58.840 --> 0:26:02.320
<v Speaker 1>capacity and other vital technology capacity and things like that.

0:26:02.960 --> 0:26:07.960
<v Speaker 1>How much does that like help in a downturn? Can

0:26:08.000 --> 0:26:11.480
<v Speaker 1>the government money basically come in and fill the whole

0:26:11.560 --> 0:26:18.200
<v Speaker 1>left by retrenching venture capital. Mm hmm, it can um well,

0:26:18.359 --> 0:26:21.359
<v Speaker 1>just generally, you know, independent of of the commercial boom

0:26:21.400 --> 0:26:26.119
<v Speaker 1>and bus cycle. Government money is absolutely it's always been

0:26:26.160 --> 0:26:29.320
<v Speaker 1>a critical thread, a critical part of the Silicon Valley story,

0:26:29.400 --> 0:26:32.639
<v Speaker 1>a critical part of the history of American technology and

0:26:32.640 --> 0:26:36.760
<v Speaker 1>technological development. It has you know, you go, Silicon Valley

0:26:36.920 --> 0:26:39.840
<v Speaker 1>is Silicon Valley. It is what it is because of

0:26:40.320 --> 0:26:44.120
<v Speaker 1>military spending, which is sometimes a weird idea to get

0:26:44.119 --> 0:26:45.800
<v Speaker 1>your head around when you think of the value, you

0:26:45.840 --> 0:26:48.240
<v Speaker 1>think of kind of free market capitalism and its finest,

0:26:48.240 --> 0:26:51.679
<v Speaker 1>but actually it has its origins in this defense spending,

0:26:51.680 --> 0:26:54.359
<v Speaker 1>which created a critical mass of of sort of small

0:26:54.400 --> 0:26:58.200
<v Speaker 1>electronics R and D in the valley and and also

0:26:58.560 --> 0:27:01.880
<v Speaker 1>took Stanford from being kind of a reasonably good mid

0:27:01.960 --> 0:27:06.480
<v Speaker 1>level research university into the powerhouse. It became. I mean,

0:27:06.560 --> 0:27:10.000
<v Speaker 1>the people on the ground, including Stanford administrators, were making

0:27:10.119 --> 0:27:12.560
<v Speaker 1>helping make that happen, taking advantage of these new streams

0:27:12.560 --> 0:27:15.879
<v Speaker 1>of money. But what what government does, and we see this,

0:27:16.200 --> 0:27:18.560
<v Speaker 1>let me pull out the space program is a great,

0:27:18.760 --> 0:27:20.399
<v Speaker 1>great example. We always talk about, you know, we need

0:27:20.440 --> 0:27:22.480
<v Speaker 1>another moon shot. Well, let's talk about the real moonshot.

0:27:22.480 --> 0:27:25.359
<v Speaker 1>And see how that that worked in the Valley political economy,

0:27:25.359 --> 0:27:27.880
<v Speaker 1>because I think sometimes it's easy to sort of say, oh,

0:27:27.960 --> 0:27:29.960
<v Speaker 1>it's all free market, or when the government comes in,

0:27:30.040 --> 0:27:32.760
<v Speaker 1>it's a you know, totally different type of political economy.

0:27:32.760 --> 0:27:37.520
<v Speaker 1>And in the case of the Valley and actually more

0:27:37.560 --> 0:27:42.119
<v Speaker 1>broadly American um American economic history generally, it's it's a

0:27:42.160 --> 0:27:44.240
<v Speaker 1>kind of a blend of public and private that's very

0:27:44.240 --> 0:27:48.320
<v Speaker 1>distinctive and very American. So, you know, the sixties, you

0:27:48.359 --> 0:27:51.879
<v Speaker 1>already have a lot of electronics spending in the Valley.

0:27:52.240 --> 0:27:55.520
<v Speaker 1>Then um spot Nick rockets into orbit. In the fall

0:27:55.600 --> 0:27:59.560
<v Speaker 1>of seven, the Soviets get the first satellite into space.

0:27:59.600 --> 0:28:04.160
<v Speaker 1>They be the US, and everybody's hair is on fire.

0:28:04.320 --> 0:28:06.399
<v Speaker 1>It is it is a huge black eye for the

0:28:06.400 --> 0:28:10.160
<v Speaker 1>Eisenhower administration. Is it is bad. There's also a great

0:28:10.160 --> 0:28:13.680
<v Speaker 1>anxiety about reports that the Soviets are outpacing the US

0:28:13.720 --> 0:28:17.000
<v Speaker 1>and producing missiles, the so called missile gap. That gets

0:28:17.160 --> 0:28:20.000
<v Speaker 1>Washington in a panic. So the money starts a flowing.

0:28:20.560 --> 0:28:22.480
<v Speaker 1>There is lots and lots of money coming out. And

0:28:22.520 --> 0:28:25.320
<v Speaker 1>then Kennedy comes into office and says, we are going

0:28:25.359 --> 0:28:27.880
<v Speaker 1>to reach the Moon by the end of the nineteen sixties.

0:28:27.960 --> 0:28:30.520
<v Speaker 1>And then all of a sudden, there's this intense demand

0:28:30.560 --> 0:28:33.520
<v Speaker 1>for very small, light fast electronics, which are exactly what

0:28:34.320 --> 0:28:37.000
<v Speaker 1>the valley is specializing in. And so this is really

0:28:37.040 --> 0:28:41.280
<v Speaker 1>the beginning of the semiconductor industry. The true first clusters

0:28:41.320 --> 0:28:44.880
<v Speaker 1>of startups are are they're building integrated circuits. They're selling

0:28:44.920 --> 0:28:48.000
<v Speaker 1>to NASA, but they're they're doing it. These are you know,

0:28:48.040 --> 0:28:52.320
<v Speaker 1>these aren't big lumbering defense contractors. They're startups and there

0:28:52.360 --> 0:28:54.640
<v Speaker 1>are a lot of them, and they're competing for this business.

0:28:55.360 --> 0:29:00.360
<v Speaker 1>And so there's this incredibly competitive industry that is essentially

0:29:00.440 --> 0:29:04.640
<v Speaker 1>you now have an incentive to to develop and produce

0:29:05.240 --> 0:29:07.800
<v Speaker 1>a new product that doesn't yet have a commercial market,

0:29:08.080 --> 0:29:11.240
<v Speaker 1>and and it's put the government has put a thumb

0:29:11.240 --> 0:29:14.400
<v Speaker 1>on the scale as a customer and as a as

0:29:14.560 --> 0:29:19.440
<v Speaker 1>as a funder of research, and it it just drives

0:29:19.480 --> 0:29:21.960
<v Speaker 1>all of this activity up and down the chain from

0:29:21.960 --> 0:29:26.520
<v Speaker 1>basic research to apply to universities in companies large and small.

0:29:26.840 --> 0:29:29.800
<v Speaker 1>And then you know, the net net of all that

0:29:29.920 --> 0:29:33.640
<v Speaker 1>space spending for the semiconductor industry is they went from

0:29:33.680 --> 0:29:39.240
<v Speaker 1>building these bespoke two thousand dollars and upward integrated circuits

0:29:39.280 --> 0:29:42.720
<v Speaker 1>that nobody had a could afford on that you know,

0:29:42.760 --> 0:29:46.200
<v Speaker 1>no enterprise could afford or really thought they needed. And

0:29:46.240 --> 0:29:49.480
<v Speaker 1>it they scale a production, they drive down costs, they're

0:29:49.520 --> 0:29:54.360
<v Speaker 1>able to turn it into a commodity product. And that's

0:29:55.000 --> 0:29:59.640
<v Speaker 1>you know, that's what I think the potential for government spending.

0:29:59.720 --> 0:30:03.080
<v Speaker 1>How So now is these we're kind of silicon valleys

0:30:03.160 --> 0:30:05.640
<v Speaker 1>entering a different age and you have this new these

0:30:05.680 --> 0:30:09.480
<v Speaker 1>new flows not just for semiconductor research and development, but

0:30:09.600 --> 0:30:13.600
<v Speaker 1>also green energy too. That's has a lot of potential.

0:30:14.640 --> 0:30:18.320
<v Speaker 1>You anticipated my next question, you know, and Tracy mentioned

0:30:18.320 --> 0:30:20.760
<v Speaker 1>the Chips Act, and then there's the Inflation Reduction Act,

0:30:20.800 --> 0:30:22.680
<v Speaker 1>which is going to channel a lot of money to

0:30:22.960 --> 0:30:25.640
<v Speaker 1>green tech. But the common threat of both of those,

0:30:25.760 --> 0:30:28.200
<v Speaker 1>it's like, Okay, part of the reason we seem to

0:30:28.200 --> 0:30:31.520
<v Speaker 1>be doing green tech is obviously concerns our climate, but

0:30:31.560 --> 0:30:35.920
<v Speaker 1>there's also a national security impulse even embedded in the

0:30:35.960 --> 0:30:40.040
<v Speaker 1>Inflation Reduction Act moving the battery supply chain away from China,

0:30:40.120 --> 0:30:42.000
<v Speaker 1>moving it to the US. This idea that there's some

0:30:42.080 --> 0:30:45.960
<v Speaker 1>sort of like global competition about energy tech and energy

0:30:46.000 --> 0:30:49.640
<v Speaker 1>security for obvious reasons. And the thing I'm curious about

0:30:49.760 --> 0:30:53.200
<v Speaker 1>is how does it work in silicon In silicon valley

0:30:53.280 --> 0:30:58.480
<v Speaker 1>when you have this sort of hard nosed geopolitical security

0:30:58.640 --> 0:31:03.120
<v Speaker 1>state defense to Haartman investment driving the show, how does

0:31:03.160 --> 0:31:10.440
<v Speaker 1>that interact, which sort of like hippie California capitalism. M Uh,

0:31:10.640 --> 0:31:13.600
<v Speaker 1>it's yeah. You wouldn't think these two things coexist, but

0:31:13.720 --> 0:31:16.560
<v Speaker 1>they do. You know, this is both smart politics and

0:31:16.600 --> 0:31:19.800
<v Speaker 1>it is real geo politics, right that there isn't a

0:31:19.920 --> 0:31:24.440
<v Speaker 1>national security dimension to high tech spending UM and high

0:31:24.480 --> 0:31:28.000
<v Speaker 1>tech competition, particularly now with China, which is sort of

0:31:28.000 --> 0:31:30.920
<v Speaker 1>this interesting mash up of the competition that the US

0:31:30.960 --> 0:31:32.880
<v Speaker 1>had the Soviet Union in the fifties and sixties and

0:31:32.920 --> 0:31:35.760
<v Speaker 1>the competition it had with Japan and the eighties. Right,

0:31:35.800 --> 0:31:38.880
<v Speaker 1>it's got this both end and Look, the only part

0:31:38.880 --> 0:31:41.959
<v Speaker 1>of the discretionary budget that the US that has kind

0:31:41.960 --> 0:31:46.080
<v Speaker 1>of been safe from austerity and and shrinkage, particularly in

0:31:46.080 --> 0:31:49.120
<v Speaker 1>the last forty years, has been the defense budget. There's

0:31:49.120 --> 0:31:51.920
<v Speaker 1>a reason that DARPA has this outsize role in fueling

0:31:52.360 --> 0:31:55.760
<v Speaker 1>innovation in the valley because it's been kind of the

0:31:55.800 --> 0:31:59.239
<v Speaker 1>one blue sky research funder that hasn't been kind of

0:31:59.240 --> 0:32:03.000
<v Speaker 1>had its budget you know, questioned every every cycle. Uh So,

0:32:03.200 --> 0:32:06.400
<v Speaker 1>I you know, there, there's it makes sense there there's

0:32:06.440 --> 0:32:09.000
<v Speaker 1>you know, putting calling this a defense move um does

0:32:09.080 --> 0:32:11.120
<v Speaker 1>make it in a way politically insulated in a way,

0:32:11.520 --> 0:32:14.040
<v Speaker 1>and kind of creates this allowance for the great deal

0:32:14.040 --> 0:32:16.040
<v Speaker 1>of spending that does need to happen to move the needle.

0:32:16.840 --> 0:32:19.720
<v Speaker 1>But the hippie culture and the defense culture, that, yeah,

0:32:19.760 --> 0:32:22.479
<v Speaker 1>that's a it's a it's a it's always had that

0:32:22.560 --> 0:32:26.640
<v Speaker 1>weird juxtaposition, quite honestly, and I think, you know, part

0:32:26.680 --> 0:32:29.160
<v Speaker 1>of why it's able to do that is because of

0:32:29.200 --> 0:32:32.440
<v Speaker 1>the essentially the indirect nature of so much of the spending.

0:32:32.640 --> 0:32:35.120
<v Speaker 1>And this is again going back to this kind of

0:32:35.200 --> 0:32:41.480
<v Speaker 1>quintessentially American habit of not liking big government, not wanting

0:32:41.560 --> 0:32:46.840
<v Speaker 1>to appear to have big government, and so instead spending

0:32:46.880 --> 0:32:51.360
<v Speaker 1>for economic development, in particular through indirect means, whether it

0:32:51.480 --> 0:32:55.920
<v Speaker 1>be in the early nineteenth century awarding um, you know,

0:32:56.200 --> 0:33:00.320
<v Speaker 1>private entities, the you know, uh contraxt of you know,

0:33:00.560 --> 0:33:06.160
<v Speaker 1>build canals and infrastructure and turnpikes, or or the transcontinental

0:33:06.360 --> 0:33:10.680
<v Speaker 1>railroads right in the night eighteen sixties and seventies, which

0:33:10.760 --> 0:33:13.440
<v Speaker 1>was a kind of a boondoggle, but it got those

0:33:13.520 --> 0:33:18.560
<v Speaker 1>railroads built. Or fast forward to the defense economy, you know,

0:33:18.560 --> 0:33:22.480
<v Speaker 1>the Cold War military industrial complex. Eisenhower called it military

0:33:22.520 --> 0:33:25.840
<v Speaker 1>industrial for a reason. The money was flowing from the

0:33:25.920 --> 0:33:31.040
<v Speaker 1>government through industry and universities and these other private and

0:33:31.560 --> 0:33:37.040
<v Speaker 1>educational institutions, so that the the guys and the bean bags,

0:33:37.200 --> 0:33:41.040
<v Speaker 1>or the kids in the computer lab at Berkeley or

0:33:41.080 --> 0:33:45.800
<v Speaker 1>Stanford weren't necessarily immediately aware of the fact that everything

0:33:45.840 --> 0:33:49.680
<v Speaker 1>that was doing was being enabled by defense spending, which

0:33:49.840 --> 0:33:51.680
<v Speaker 1>you know, in the late nineteen sixties, a lot of

0:33:51.680 --> 0:33:54.280
<v Speaker 1>those kids at Berkeley and Stanford suddenly realized that was

0:33:54.320 --> 0:33:56.600
<v Speaker 1>what was making it all go and that was part

0:33:56.600 --> 0:33:59.920
<v Speaker 1>of why they were protesting and marching against the war

0:34:00.120 --> 0:34:04.240
<v Speaker 1>or they they saw the among other things, that the

0:34:04.280 --> 0:34:08.399
<v Speaker 1>military had essentially taken control of technology and was using

0:34:08.400 --> 0:34:12.000
<v Speaker 1>it for ends of which they did not approve. So

0:34:12.200 --> 0:34:17.240
<v Speaker 1>just on this theme the intermingling of free market entrepreneurship

0:34:17.400 --> 0:34:20.720
<v Speaker 1>and government spending, which is definitely a theme that stands

0:34:20.719 --> 0:34:23.600
<v Speaker 1>out in your book, and you emphasize this point a lot.

0:34:24.040 --> 0:34:28.520
<v Speaker 1>But in in a downturn where venture capital is potentially

0:34:28.520 --> 0:34:33.279
<v Speaker 1>retrenching and the government is ramping up it's spending, is

0:34:33.280 --> 0:34:39.520
<v Speaker 1>there a possibility that more traditional businesses become bigger or

0:34:39.640 --> 0:34:44.080
<v Speaker 1>more powerful compared to you know, the traditional Silicon valley

0:34:44.160 --> 0:34:48.600
<v Speaker 1>tech startup because they have access to maybe deeper pockets,

0:34:48.800 --> 0:34:52.680
<v Speaker 1>or because maybe they have closer relationships with the US government.

0:34:52.960 --> 0:34:55.239
<v Speaker 1>Is that a possibility that we start to see a

0:34:55.320 --> 0:35:00.640
<v Speaker 1>sort of shift in power. I guess m M. I

0:35:00.680 --> 0:35:05.480
<v Speaker 1>mean Tesla Like Tesla versus a traditional carmaker would be

0:35:05.520 --> 0:35:10.480
<v Speaker 1>the obvious example of this, right, yeah, yeah, possibly, But

0:35:10.520 --> 0:35:12.160
<v Speaker 1>there are a couple of things that work against that.

0:35:12.600 --> 0:35:16.360
<v Speaker 1>One is if the government purpose of government spending is

0:35:16.400 --> 0:35:21.400
<v Speaker 1>to incentivize and grow new markets and new technologies and

0:35:21.440 --> 0:35:24.319
<v Speaker 1>to kind of bring bring new technologies online that are

0:35:24.440 --> 0:35:28.400
<v Speaker 1>now just good ideas or really expensive and impractical ideas.

0:35:28.760 --> 0:35:33.640
<v Speaker 1>Oftentimes it's new firms and new entrance that are needed

0:35:33.680 --> 0:35:35.959
<v Speaker 1>to do that. Again, the you know, this is why

0:35:36.160 --> 0:35:39.520
<v Speaker 1>you know, companies like fair Child Semiconductor and National Semiconductor

0:35:39.520 --> 0:35:42.280
<v Speaker 1>get the edge on UM, you know, get the Apollo

0:35:42.360 --> 0:35:45.440
<v Speaker 1>program business because the big incumbents couldn't do it. I

0:35:45.440 --> 0:35:47.839
<v Speaker 1>think the other thing that's in play, and we saw

0:35:47.840 --> 0:35:49.840
<v Speaker 1>this a bit in the Space program too, which is

0:35:50.280 --> 0:35:52.439
<v Speaker 1>that that spending is ramping up at the same time

0:35:52.480 --> 0:35:55.680
<v Speaker 1>that UM. This when Robert McNamara was Secretary of Defense

0:35:56.120 --> 0:35:59.359
<v Speaker 1>for Kennedy and the Johns administrations. McNamara later becomes kind

0:35:59.360 --> 0:36:01.880
<v Speaker 1>of the the face of the Vietnam War and not

0:36:01.920 --> 0:36:04.560
<v Speaker 1>a good way. But in the beginning, he comes in.

0:36:04.640 --> 0:36:06.520
<v Speaker 1>He comes in from Ford. He was the president of Ford,

0:36:06.560 --> 0:36:07.880
<v Speaker 1>and he was part of a group known as the

0:36:07.880 --> 0:36:11.880
<v Speaker 1>whiz Kids at Ford that were these number crunching efficiency experts,

0:36:12.480 --> 0:36:14.000
<v Speaker 1>and he came in He's like, we gotta make this

0:36:14.040 --> 0:36:16.919
<v Speaker 1>whole contracting more efficient. And he actually wanted to kind

0:36:16.920 --> 0:36:20.640
<v Speaker 1>of get away from single source contracting and kind of

0:36:20.640 --> 0:36:23.800
<v Speaker 1>bring more oxygen into the system and get more more people,

0:36:23.880 --> 0:36:26.600
<v Speaker 1>more more firms competing for the business, so that would

0:36:26.640 --> 0:36:29.480
<v Speaker 1>drive down costs and and that's part of actually created

0:36:29.480 --> 0:36:32.239
<v Speaker 1>this opportunity for these small companies. What's happening right now,

0:36:32.280 --> 0:36:35.279
<v Speaker 1>I think in a kind of analogous way is one

0:36:35.320 --> 0:36:37.400
<v Speaker 1>of the things that the both the Chips Act and

0:36:37.480 --> 0:36:39.800
<v Speaker 1>the Inflation Reduction Act or trying to solve for is

0:36:39.840 --> 0:36:44.600
<v Speaker 1>the intense geographic concentration of tech on the two coasts

0:36:44.800 --> 0:36:47.040
<v Speaker 1>right So within that, you know, we have this new

0:36:47.040 --> 0:36:50.400
<v Speaker 1>spending that's kind of regionally focused to build tech focused

0:36:50.400 --> 0:36:54.120
<v Speaker 1>economies in places that don't have them, and also you know,

0:36:54.160 --> 0:36:57.319
<v Speaker 1>putting chip plants in Ohio, right, Like, there's this sort

0:36:57.320 --> 0:37:00.600
<v Speaker 1>of very deliberate economic development strategy going on. We saw

0:37:00.640 --> 0:37:02.400
<v Speaker 1>some of this, quite a bit of this in the

0:37:02.440 --> 0:37:04.960
<v Speaker 1>early Cold War too. I mean that the Southern States

0:37:05.000 --> 0:37:07.120
<v Speaker 1>and sun Belt states that also happened to have some

0:37:07.160 --> 0:37:11.040
<v Speaker 1>pretty powerful senators Hello Richard Russell of Georgia. Uh that

0:37:11.239 --> 0:37:14.600
<v Speaker 1>you know that got these defense facilities that were transformative

0:37:14.680 --> 0:37:17.359
<v Speaker 1>for the economy. Right. So there's sort of this geographic

0:37:17.760 --> 0:37:22.840
<v Speaker 1>strategy that the Biden administration and um uh those the

0:37:23.040 --> 0:37:25.879
<v Speaker 1>sort of are trying to uh kind of push out.

0:37:25.920 --> 0:37:28.360
<v Speaker 1>And there's a lot of obviously a lot of local

0:37:28.440 --> 0:37:32.080
<v Speaker 1>leadership and regions that have been left behind in many ways,

0:37:32.200 --> 0:37:35.680
<v Speaker 1>particularly formally industrial regions and the in the Midwest and

0:37:35.719 --> 0:37:39.879
<v Speaker 1>elsewhere that are you really trying to build out their infrastructure.

0:37:39.880 --> 0:37:42.800
<v Speaker 1>So I'm looking to see kind of what that does

0:37:42.960 --> 0:37:46.880
<v Speaker 1>to um, kind of disrupts this geographic pattern that's so

0:37:47.000 --> 0:37:51.839
<v Speaker 1>intensely concentrated. Margaret, thank you so much for coming out

0:37:51.880 --> 0:37:54.319
<v Speaker 1>odd lots so glad we got to hand this conversation.

0:37:55.280 --> 0:37:58.439
<v Speaker 1>It was really fun. Thanks for having me. Thanks Margaret. Yeah,

0:37:58.440 --> 0:38:17.120
<v Speaker 1>that was great, Tracy. I really like talking to Margaret.

0:38:17.160 --> 0:38:19.640
<v Speaker 1>You know, one thing that is very useful with the

0:38:19.680 --> 0:38:23.479
<v Speaker 1>historical perspective is this time it's different, or this time

0:38:23.480 --> 0:38:27.160
<v Speaker 1>it's really over. That that's like a pervasive view that

0:38:27.320 --> 0:38:29.399
<v Speaker 1>it's not just now, it's not just post dot Com.

0:38:29.400 --> 0:38:32.239
<v Speaker 1>That from the very beginning, people always say, oh, that

0:38:32.360 --> 0:38:34.239
<v Speaker 1>was it, that was the last boom bust. There one

0:38:34.320 --> 0:38:37.000
<v Speaker 1>day there will be another boom. Well, I agree with that.

0:38:37.120 --> 0:38:41.120
<v Speaker 1>I do wonder whether or not, like people's experiences tend

0:38:41.160 --> 0:38:44.800
<v Speaker 1>to be tempered by the disappointments of the last downturn,

0:38:44.920 --> 0:38:47.440
<v Speaker 1>but maybe not, because I mean, here we are in

0:38:48.760 --> 0:38:51.480
<v Speaker 1>and all of crypto is falling apart. People have been

0:38:51.480 --> 0:38:54.080
<v Speaker 1>comparing that to the dot com boom for ages, so

0:38:54.120 --> 0:38:58.759
<v Speaker 1>clearly memories of dot Com era. They eventually that was

0:38:58.800 --> 0:39:04.000
<v Speaker 1>like twenty years ago. It feels like only yesterday, okay.

0:39:04.040 --> 0:39:07.600
<v Speaker 1>But also like her example of whether or not it

0:39:07.719 --> 0:39:14.920
<v Speaker 1>starts to affect culture with the PEPSI CEO forgot that

0:39:14.920 --> 0:39:17.680
<v Speaker 1>that was pretty funny. Yeah, and just you know again,

0:39:17.800 --> 0:39:20.560
<v Speaker 1>like what the saving I don't know if it's the

0:39:20.600 --> 0:39:23.880
<v Speaker 1>saving grace or you know, where where would you be

0:39:23.960 --> 0:39:27.120
<v Speaker 1>bullish right now? You're probably bullish on the areas that

0:39:27.200 --> 0:39:30.000
<v Speaker 1>can sell something to the US government, something that might

0:39:30.080 --> 0:39:32.560
<v Speaker 1>have like a defense capacity, something that might have an

0:39:32.640 --> 0:39:36.880
<v Speaker 1>energy capacity, something that might have a semiconductor capacity, etcetera.

0:39:37.080 --> 0:39:40.880
<v Speaker 1>So there will be new markets, but maybe the exciting

0:39:40.920 --> 0:39:44.200
<v Speaker 1>things are not going to be as consumer oriented as

0:39:44.200 --> 0:39:46.799
<v Speaker 1>we got from the boom in the right. It kind

0:39:46.840 --> 0:39:51.040
<v Speaker 1>of reminds me of that market's mantra, don't fight the FED, right, like,

0:39:51.280 --> 0:39:55.040
<v Speaker 1>don't don't fight the U. S. Government. It's pouring trillions

0:39:55.040 --> 0:39:59.720
<v Speaker 1>of dollars of money into particular. Don't fight the Pentagon.

0:40:00.000 --> 0:40:01.839
<v Speaker 1>There we go. Don't fight the d O E loan,

0:40:02.000 --> 0:40:04.480
<v Speaker 1>don't fight jigger shot at the Daily Loan protras, don't

0:40:04.520 --> 0:40:08.120
<v Speaker 1>fight the military industrial complex. That is good life advice.

0:40:08.440 --> 0:40:10.280
<v Speaker 1>Shall we leave it there? Let's leave it there? Okay.

0:40:10.480 --> 0:40:13.240
<v Speaker 1>This has been another episode of the All Thoughts podcast.

0:40:13.280 --> 0:40:15.839
<v Speaker 1>I'm Tracy Alloway. You can follow me on Twitter at

0:40:15.880 --> 0:40:18.600
<v Speaker 1>Tracy Alloway and I'm Joe Wisn't Though. You can follow

0:40:18.640 --> 0:40:22.240
<v Speaker 1>me on Twitter at the Stalwart. Follow our guest Margaret O'Meara.

0:40:22.400 --> 0:40:26.399
<v Speaker 1>She's at Margaret O'Meara. Follow our producer Kerman Rodriguez at

0:40:26.440 --> 0:40:29.680
<v Speaker 1>Carmen Arman, and check out all of our podcasts at

0:40:29.680 --> 0:40:33.799
<v Speaker 1>Bloomberg under the handle at podcasts, and if you want

0:40:33.800 --> 0:40:36.680
<v Speaker 1>more odd Lots content, go to Bloomberg dot com slash

0:40:36.719 --> 0:40:40.000
<v Speaker 1>odd Lot or Tracy and I post the transcripts, we blog,

0:40:40.120 --> 0:40:43.560
<v Speaker 1>and we even write a weekly newsletter. Go there, subscribe

0:40:43.680 --> 0:40:45.840
<v Speaker 1>and read it. And I wanted to let you know

0:40:45.840 --> 0:40:48.880
<v Speaker 1>about a special event that we're holding four listeners. My

0:40:49.000 --> 0:40:52.600
<v Speaker 1>co host Tracy Alloway and I will be speaking with

0:40:53.160 --> 0:40:56.360
<v Speaker 1>past guest Josh Younger, as well as Columbia law professor

0:40:56.640 --> 0:41:00.800
<v Speaker 1>levmanand in a special live episode of the odd podcast

0:41:00.880 --> 0:41:04.759
<v Speaker 1>on November We're gonna be holding it at Bloomberg h Q,

0:41:05.200 --> 0:41:09.560
<v Speaker 1>and you're welcome to come mingo join. We're gonna have cocktails,

0:41:09.920 --> 0:41:13.120
<v Speaker 1>canapas and other stuff on that day along with the

0:41:13.160 --> 0:41:16.799
<v Speaker 1>live recording. So if you're interested in attending a live

0:41:16.800 --> 0:41:19.400
<v Speaker 1>episode of the Odd Lots podcast as well as meeting

0:41:19.480 --> 0:41:21.680
<v Speaker 1>me and Tracy, as well as meeting our guests, and

0:41:21.719 --> 0:41:25.040
<v Speaker 1>as well as meeting other odd Lots listeners, go find

0:41:25.160 --> 0:41:28.239
<v Speaker 1>the rs VP. Both Tracy and I have tweeted about it.

0:41:28.239 --> 0:41:31.520
<v Speaker 1>It's also on Bloomberg dot com slash odd Lots. Sign

0:41:31.600 --> 0:41:33.840
<v Speaker 1>up and join us in New York City at Bloomberg

0:41:33.880 --> 0:42:00.160
<v Speaker 1>age Q on November twenty nine. Thanks for listening to

0:42:02.360 --> 0:42:02.400
<v Speaker 1>the