WEBVTT - Paramount's TV Network Writedown, and Silicon Valley and the Election

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<v Speaker 1>From Mahard where Innovation for Money and Power Collie in

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<v Speaker 1>Silicon Valley NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>Live from San Francisco.

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<v Speaker 4>This is Bloombo Technology paramount up as the Nickelodeon and

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<v Speaker 4>MTV parent follows Warner Brothers in a big write down

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<v Speaker 4>of its cable TV networks and cybersecurity firm. Akami jumps

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<v Speaker 4>as the DVOS specialist post strong numbers amid scrutiny of.

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<v Speaker 3>The cybersecurity sector.

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<v Speaker 4>Plus tech for Kumala, we speak to the technology leaders

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<v Speaker 4>and Silicon Valley Democrats backing the Vice president's bid for.

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<v Speaker 3>The White House.

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<v Speaker 4>I want to get straight to financial markets and the

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<v Speaker 4>NASDAQ one hundred, very tech heavy index. You have the

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<v Speaker 4>megacaps and the higher multiple software names. What you're seeing

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<v Speaker 4>is a five day chart of the Nasdaq and it

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<v Speaker 4>is completely flat, zero percent over the course of the week.

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<v Speaker 3>But there is peril within that.

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<v Speaker 4>Because if the NAZDAT one hundred closes down negative on

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<v Speaker 4>a weekly basis, that would mark five straight weeks of

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<v Speaker 4>declines for that index, which is the worst week run

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<v Speaker 4>of weekly drops going back to May of twenty twenty two.

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<v Speaker 4>If it's positive, it snaps a four week declined streak,

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<v Speaker 4>which it had seen in April, and things look a

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<v Speaker 4>little bit rosier. We are worried about growth, we're worried

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<v Speaker 4>about a little bit geopolitical risk, but earnings have been

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<v Speaker 4>a mixed picture, where in aggregate we're probably feeling better

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<v Speaker 4>about the technology sector in part AI infrastructure.

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<v Speaker 3>That brings us to TSMC. The chipmaker.

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<v Speaker 4>Sales grew by forty five percent in July on strong demand.

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<v Speaker 4>In particular, it would seem for AI accelerators. Those are

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<v Speaker 4>the usadrs or US listed shares of Taiwan Semiconductor, up

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<v Speaker 4>eight tenths of a percent in the US session bloombergs

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<v Speaker 4>Ian King is here with me in San Francisco. The

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<v Speaker 4>data is for the month, and we're trying to sort

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<v Speaker 4>of extrapolate out and say, well, for the quarter, what

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<v Speaker 4>does that look like? But I guess big picture it's

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<v Speaker 4>bullish because TSMC is the chip factory for the world.

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<v Speaker 5>Basically, no exactly all roads lead to into Yeah, and

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<v Speaker 5>I'm forty five percent is dramatic, right, that's tremendous compared

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<v Speaker 5>to where we were last year. But we have to

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<v Speaker 5>put that in context. Part of that was last year

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<v Speaker 5>things were depressed. A lot of smartphone market related chip

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<v Speaker 5>orders weren't that great. But if you're worried about this

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<v Speaker 5>AI infrastructure build out, if you're worried about what Invidia

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<v Speaker 5>is buying, what AMD is buying, what even Intel is

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<v Speaker 5>buying these days, this tells you Nope, they're still putting

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<v Speaker 5>orders in and those factories are still working flat out.

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<v Speaker 4>Okay, In very simple terms, TSMC is a contract manufacturers,

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<v Speaker 4>So the biggest chip names go to TSMC and say,

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<v Speaker 4>here are our very special chips.

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<v Speaker 3>Make them for us please.

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<v Speaker 4>That brings me to Nvidia, which reports August twenty eight,

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<v Speaker 4>and they are the market right now for AI accelerators.

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<v Speaker 4>Look ahead to August twenty eight and what we're kind

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<v Speaker 4>of expecting, and does TSMC kind of inform what we

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<v Speaker 4>might get?

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<v Speaker 5>I mean to an extent, yes, I mean TSMC has

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<v Speaker 5>a lot of customers, and Video is one of the biggest.

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<v Speaker 5>But Apple is also a huge customer. Qualcom is also

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<v Speaker 5>a huge customer, so it's not a direct linear relationship there.

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<v Speaker 5>But at the same time, everything we've heard, all of

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<v Speaker 5>the concerns we've heard about in video, can it continue

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<v Speaker 5>this growth rue. Nobody is doubting the fundamentals of demand.

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<v Speaker 5>We're also as you've seen lots of reports about some

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<v Speaker 5>problems with some new tips that they've had. Yes, but

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<v Speaker 5>they've come out themselves and said the still demand for

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<v Speaker 5>our olds. Yes, some worry about it.

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<v Speaker 4>That was specifically about design or engineering issues around Blackwell,

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<v Speaker 4>which would be the latest generation accelerator. TSMC is interesting

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<v Speaker 4>because it's literally concentrated in Taiwan a lot of the activity.

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<v Speaker 4>But the story here in the United States has been

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<v Speaker 4>the flow of public money from the Chips Act or

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<v Speaker 4>government money to onshore our industry. And there's a piece

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<v Speaker 4>on the Blueberg Terminal by Mackenzie Hawkins about how now

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<v Speaker 4>present day much of that money has been allocated from

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<v Speaker 4>the Chips Act. What are the numbers behind that and

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<v Speaker 4>what's the impact been.

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<v Speaker 5>Yeah, I mean the key point that she makes in

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<v Speaker 5>her story is the hard work has been done, which

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<v Speaker 5>is like, hey, we're going to give you this, We're

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<v Speaker 5>going to give you this, but nothing has actually, no

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<v Speaker 5>checks have been mailed, right, this is all promissory right.

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<v Speaker 5>And as a US taxpayer, like we both are, that's

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<v Speaker 5>actually a smart thing because you want to see these

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<v Speaker 5>things built and in operation before you actually pay for them.

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<v Speaker 6>Right.

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<v Speaker 5>This is, you know, a very complex industry and it's

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<v Speaker 5>very brutal economically, as we've seen with what's happening at Intel.

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<v Speaker 5>So you want to make sure that these things actually

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<v Speaker 5>get built, the equipment goes in, and then the money

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<v Speaker 5>gets distributed.

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<v Speaker 4>As you've educated our audience on for it for quite

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<v Speaker 4>a while. Now takes a lot of time to build

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<v Speaker 4>manufacturing capacity for jips as well. Bloomberg's Ian King here

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<v Speaker 4>in San Francisco, thank you. Let's get back to that

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<v Speaker 4>story about Paramount that we alluded to at the top.

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<v Speaker 4>Actually an interesting or positive reaction.

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<v Speaker 3>In the shares.

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<v Speaker 4>It is a write down of six billion dollars on

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<v Speaker 4>the legacy cable TV networks. Very similar to the news

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<v Speaker 4>this week that we got from Warner Brothers Discovery. There

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<v Speaker 4>are some points of distinction with Paramount in terms of

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<v Speaker 4>the properties and some other news in there as well.

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<v Speaker 4>Bloomberg's Hannah Miller is back in New York City. So

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<v Speaker 4>Paramount the numbers on the right down the story behind

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<v Speaker 4>the write down specific to Paramount.

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<v Speaker 3>What's going on, Yeah, So it's.

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<v Speaker 7>Very similar to Warner Brothers Discovery. Where they're writing down

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<v Speaker 7>the value of their traditional TV networks. And this is after,

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<v Speaker 7>you know, the streaming wars have broken out. You know,

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<v Speaker 7>they've taken to reevaluating their cable television as streaming continues

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<v Speaker 7>to grow more and more popular.

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<v Speaker 3>What's different here is.

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<v Speaker 7>That with Paramount, you have the backdrop of its deal

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<v Speaker 7>with sky Dance that is expected to finalize in the

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<v Speaker 7>first half of twenty twenty five. You know, there's still

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<v Speaker 7>a forty five day period where you know, people can

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<v Speaker 7>submit competing offers, but there is a lot of bullishness

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<v Speaker 7>around Paramount because of this pending deal.

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<v Speaker 4>I'm reading through your story on Paramount. By the way,

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<v Speaker 4>Hannah Miller, pretty new to this beat. How busy have

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<v Speaker 4>you been in those first few weeks of covering the

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<v Speaker 4>media industry? But Paramount part of the story is cost

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<v Speaker 4>reduction in cost cuts as well. Is that directly related

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<v Speaker 4>to the write down or is that a different story.

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<v Speaker 7>So before you know, we learned about this write down,

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<v Speaker 7>you know, there's this whole five hundred million dollar cost

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<v Speaker 7>cutting effort that Paramount has undertaken. And then Skydance has

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<v Speaker 7>also identified two billion dollars worth of cost efficiencies. So

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<v Speaker 7>all of this has played into that they're working to

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<v Speaker 7>tighten the belt. Another big piece of news coming out

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<v Speaker 7>of the earnings call yesterday was that there are layoffs

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<v Speaker 7>coming that fifteen percent of the US workforce is going

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<v Speaker 7>to be cut before the end of this year. So

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<v Speaker 7>there's a lot going on with Paramount as it prepares

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<v Speaker 7>to final this deal with Skuyddance.

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<v Speaker 4>Hannah, I think I said this to you in the

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<v Speaker 4>show twenty four hours ago, but I always tried to

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<v Speaker 4>find the technology story within this, and what's common between

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<v Speaker 4>those two names is the pain in the Legacy TV

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<v Speaker 4>network side is because of the move to streaming. But

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<v Speaker 4>actually Paramount streaming business just based on the growth numbers,

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<v Speaker 4>it seems like they're doing okay.

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<v Speaker 7>Yeah, So for Paramount, they actually loss subscribers for their

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<v Speaker 7>Paramount Plus streaming service during the second quarter, and that

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<v Speaker 7>was because of a one time event the end of

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<v Speaker 7>this deal in South Korea.

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<v Speaker 1>They're very optimistic about it.

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<v Speaker 7>Otherwise, you know, they have seen revenues increase there, so

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<v Speaker 7>you know, despite this setback, like other companies like Warner Brothers,

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<v Speaker 7>they're very excited about their streaming service.

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<v Speaker 4>I was referring to revenue jumping thirteen percent, But you're

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<v Speaker 4>exactly right. Paramount Plus Service lost two point eight million

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<v Speaker 4>subs due to that South Koreas you just outlined Bloomberg's Hanamella,

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<v Speaker 4>Happy Friday.

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<v Speaker 3>Thank you very much for your reporting. Now coming up

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<v Speaker 3>on the.

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<v Speaker 4>Show, Roger Leed, the creator of layoffs dot Fyi, a

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<v Speaker 4>website for tracking tech layoffs, is going to join us

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<v Speaker 4>to discuss all the job cuts in aggregate that have

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<v Speaker 4>been announced in his data, and it's timely. Let's take

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<v Speaker 4>a quick look at shares of Cisco. They had been

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<v Speaker 4>positive or hire this Friday session. Cisco now softer six

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<v Speaker 4>tenths of one percent. Reuter's is reporting that Cisco will

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<v Speaker 4>lay off thousands of employees in a second round of

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<v Speaker 4>job cuts this year, and that Cisco could announce those

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<v Speaker 4>job cuts as early as Wednesday of next week. It

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<v Speaker 4>did move the shares and Wednesday of next week, by

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<v Speaker 4>the way, August fourteenth, Cisco reports earnings. We'll keep an

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<v Speaker 4>eye on that story and see if Bloomberg has any

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<v Speaker 4>advancements on it.

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<v Speaker 3>Be right back.

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<v Speaker 4>This is Bloomberg Technology. We should keep talking about tech

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<v Speaker 4>jobs and layoffs. Over one hundred and twenty six thousand

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<v Speaker 4>tech employees have been laid off so far in twenty

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<v Speaker 4>twenty four, with companies increasingly citing AI as a reason

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<v Speaker 4>for the job cuts. I want to bring in Roger Lee,

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<v Speaker 4>who's start founder and the creator of layoffs dot fyi.

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<v Speaker 4>It's a platform that's dedicated to tracking tech layoffs since

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<v Speaker 4>the COVID nineteen pandemic in twenty twenty and you and

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<v Speaker 4>I were just discussing this during the commercial break. I

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<v Speaker 4>look at all of the news headlines and the cadence

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<v Speaker 4>of headlines probably starting early June through to now. But

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<v Speaker 4>you've got the data, so summarize the scale of what's

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<v Speaker 4>happening in the industry right now versus prior years where

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<v Speaker 4>we saw heavy layoffs as well.

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<v Speaker 1>Yeah, that's right, So corn and layoffs and FI.

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<v Speaker 6>We've tracked now one hundred and twenty six thousand tech

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<v Speaker 6>employees laid off so far in twenty twenty four. The

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<v Speaker 6>good news that's actually down forty two percent from the

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<v Speaker 6>same time last year. And if you look at the

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<v Speaker 6>quarter on quarter trends, tech layoffs have generally been leveling

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<v Speaker 6>off since their peak in Q one of twenty twenty three.

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<v Speaker 6>Of course, it has spiked a little bit in the

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<v Speaker 6>past couple of weeks. The bad news, twenty twenty four

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<v Speaker 6>is still on pace to have more layoffs than any

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<v Speaker 6>other year this decade except for twenty twenty three. And

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<v Speaker 6>of course it's all a small comfort if you're one

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<v Speaker 6>of those one hundred and twenty six thousand people laid off.

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<v Speaker 4>We just illustrated that point, Roger with a chart which

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<v Speaker 4>was showing your data at layoffs still FYI.

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<v Speaker 3>And then here's the point that I was making.

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<v Speaker 4>Those are big names, right, Intel, Tesla, SAP in Germany, Cisco,

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<v Speaker 4>We just broke that reporting on in the stock move AI.

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<v Speaker 4>So what you're to may or may not track, is

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<v Speaker 4>is there a reallocation of resource to new jobs if

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<v Speaker 4>the justification is AI.

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<v Speaker 6>That's definitely what we're seeing in a lot of the

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<v Speaker 6>company's announcements for the layoffs that tech companies are increasingly

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<v Speaker 6>citing AI as the reason. You know, for example, earlier

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<v Speaker 6>this week, Dell cut thousands of employees as part of

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<v Speaker 6>a sales team reorg that included creating a new team

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<v Speaker 6>focused on AI sales. And then earlier this year, you Know,

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<v Speaker 6>into It laid off one thousand, eight hundred employees and

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<v Speaker 6>cited that they're doing so so they can invest and

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<v Speaker 6>make more hires to help build Eye into its text

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<v Speaker 6>crop software, and it is definitely an allocation of resources.

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<v Speaker 6>You know, building AI is expensive, and according to salary

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<v Speaker 6>tracker comprehensive dot Io, a senior AI engineer in the

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<v Speaker 6>Bay Area earns two hundred and eight thousand dollars per

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<v Speaker 6>year just in base salary, and that's sixteen percent more

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<v Speaker 6>than a non AII engineer and doesn't even include stock.

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<v Speaker 6>So if you include stock options equity, that pay package

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<v Speaker 6>can total easily half a million to a million dollars,

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<v Speaker 6>not to mention all the costs involved in infrastructure and

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<v Speaker 6>hardware for building AI.

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<v Speaker 8>So you know, the economic environment still tight.

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<v Speaker 6>Companies are finding that the only way to increase investment

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<v Speaker 6>in AI is to cut cost elsewhere, and hence all

0:12:24.960 --> 0:12:26.040
<v Speaker 6>the layoffs that we've been seeing.

0:12:26.240 --> 0:12:30.000
<v Speaker 4>Yeah, as Bloomberg Technology producer Margarite Galleryini just reflected on

0:12:30.040 --> 0:12:32.000
<v Speaker 4>in our team chat, maybe we're in the wrong line

0:12:32.040 --> 0:12:35.120
<v Speaker 4>of work because it's lucrative if you are a computer

0:12:35.160 --> 0:12:38.080
<v Speaker 4>scientist or software engineer in that space. There's a point

0:12:38.120 --> 0:12:41.480
<v Speaker 4>you made a minute ago about twenty twenty four. We

0:12:41.559 --> 0:12:44.640
<v Speaker 4>are in early August and so let's try and extrapolate out.

0:12:44.640 --> 0:12:47.920
<v Speaker 4>I look at the number of companies, for example, rather

0:12:47.960 --> 0:12:51.280
<v Speaker 4>than the jobs in aggregate that are making these announcements.

0:12:51.559 --> 0:12:54.120
<v Speaker 4>Have you a sense in the direction of travel for

0:12:54.160 --> 0:12:55.000
<v Speaker 4>the remainder.

0:12:54.679 --> 0:12:56.240
<v Speaker 3>Of the year. Yeah.

0:12:56.280 --> 0:12:59.280
<v Speaker 6>Typically what we see is that Q one and Q

0:12:59.400 --> 0:13:03.280
<v Speaker 6>four and to be the biggest quarters for layoffs. That's

0:13:03.320 --> 0:13:06.520
<v Speaker 6>often because companies do their annual budgeting around the end

0:13:06.559 --> 0:13:09.680
<v Speaker 6>of year, which leads to those layoffs, Whereas the middle

0:13:09.720 --> 0:13:12.240
<v Speaker 6>of the year, you know, summer period that we are

0:13:12.320 --> 0:13:15.120
<v Speaker 6>right now, actually tends to be slower.

0:13:14.679 --> 0:13:15.680
<v Speaker 3>In terms of layoffs.

0:13:15.679 --> 0:13:17.760
<v Speaker 6>Obviously, there's some notable exceptions that you see on the

0:13:17.760 --> 0:13:18.360
<v Speaker 6>screen here.

0:13:18.880 --> 0:13:20.559
<v Speaker 3>So unfortunately, I would.

0:13:20.320 --> 0:13:23.480
<v Speaker 6>Expect that pech layoffs may pick up again as we

0:13:23.559 --> 0:13:25.760
<v Speaker 6>head towards the end of the year and early next year,

0:13:26.120 --> 0:13:29.800
<v Speaker 6>as companies take stock of their year forecast into next year,

0:13:30.080 --> 0:13:32.719
<v Speaker 6>do their annual budgeting and decide whether they have the

0:13:32.800 --> 0:13:34.000
<v Speaker 6>right team to move forwards.

0:13:35.080 --> 0:13:37.239
<v Speaker 4>So let's do something else and do this and aggregate.

0:13:37.920 --> 0:13:40.520
<v Speaker 4>You know, you started tracking this data at the early

0:13:40.600 --> 0:13:43.720
<v Speaker 4>days of the pandemic. How does this four year period

0:13:43.800 --> 0:13:47.640
<v Speaker 4>or so compare to history. I think about the dot

0:13:47.679 --> 0:13:50.280
<v Speaker 4>com combubble, the global financial crisis.

0:13:51.520 --> 0:13:53.559
<v Speaker 3>Are the ways to compare and controst.

0:13:53.200 --> 0:13:56.320
<v Speaker 4>Roger, Yeah, stop to say, you know layoffs AFII.

0:13:56.480 --> 0:13:59.120
<v Speaker 6>We started in twenty twenty, so don't have the numbers

0:13:59.160 --> 0:14:01.199
<v Speaker 6>from those those two time periods.

0:14:01.559 --> 0:14:02.760
<v Speaker 8>Although I will say.

0:14:02.640 --> 0:14:06.000
<v Speaker 6>The scale of the tech industry is just so much

0:14:06.040 --> 0:14:09.440
<v Speaker 6>bigger than during the dot com era or even the

0:14:09.440 --> 0:14:14.400
<v Speaker 6>global financial crisis, So in aggregate numbers, I believe that

0:14:14.559 --> 0:14:17.400
<v Speaker 6>this current period of layoffs is going to be the

0:14:17.440 --> 0:14:20.600
<v Speaker 6>most that we've ever seen in the tech industry, just

0:14:20.600 --> 0:14:23.080
<v Speaker 6>because the scale of the tech industry and the number

0:14:23.080 --> 0:14:25.680
<v Speaker 6>of people working in this industry is so much higher

0:14:25.720 --> 0:14:26.880
<v Speaker 6>now than in previous years.

0:14:27.920 --> 0:14:30.640
<v Speaker 4>Roger Lee, creator of Layoffs, FYI, thank you for your

0:14:30.680 --> 0:14:33.320
<v Speaker 4>analysis and sharing your data with us, and the chart

0:14:33.360 --> 0:14:36.720
<v Speaker 4>depiction in particular really helps to illustrate what's happening in

0:14:36.720 --> 0:14:39.640
<v Speaker 4>this industry. We're also going to look at shares really

0:14:39.680 --> 0:14:41.720
<v Speaker 4>quickly of ak am I. We're going to be having

0:14:41.720 --> 0:14:44.320
<v Speaker 4>a conversation up next with the CEO. But in the

0:14:44.360 --> 0:14:46.600
<v Speaker 4>cyber space, this is a d DOOS specialist.

0:14:46.840 --> 0:14:48.440
<v Speaker 3>You see the stock off session.

0:14:48.200 --> 0:14:51.280
<v Speaker 4>Highs, but up almost ten percent a good quarter. But

0:14:51.320 --> 0:14:53.440
<v Speaker 4>the question that the analysts in the street has is

0:14:53.640 --> 0:14:56.520
<v Speaker 4>this is a company that's maybe inconsistent in the number

0:14:56.520 --> 0:14:59.280
<v Speaker 4>of quarters it strings together. A conversation coming up with

0:14:59.320 --> 0:15:02.000
<v Speaker 4>Tom Layton, who is the CEO of Akamai. Maybe he'll

0:15:02.040 --> 0:15:04.240
<v Speaker 4>push back on that. What the streets view of his company.

0:15:04.240 --> 0:15:22.160
<v Speaker 4>We'll see. This is Bloomberg Technology. It's time for talking

0:15:22.200 --> 0:15:24.280
<v Speaker 4>tech and in the news. The owner of the company

0:15:24.320 --> 0:15:28.840
<v Speaker 4>behind Timu, Colin Wang, has become China's richest person, amassing

0:15:28.880 --> 0:15:32.600
<v Speaker 4>a fortune of forty eight point six billion US dollars.

0:15:32.600 --> 0:15:35.840
<v Speaker 4>That's according to the Bloomberg Billionaires Index. Hung's rise has

0:15:35.840 --> 0:15:40.400
<v Speaker 4>been fueled by China's changing shopping habits and expansion outside

0:15:40.400 --> 0:15:44.240
<v Speaker 4>of the region. With its TMU brand, plus Amazon Incs

0:15:44.280 --> 0:15:48.520
<v Speaker 4>an e commerce deal with TikTok and Pinterest. Users can

0:15:48.560 --> 0:15:52.520
<v Speaker 4>now link their profile from the social media platforms to

0:15:52.720 --> 0:15:58.320
<v Speaker 4>their Amazon accounts, allowing customers to buy products directly from ads.

0:15:58.400 --> 0:16:02.320
<v Speaker 4>This is social shop becomes more popular here in the

0:16:02.440 --> 0:16:08.680
<v Speaker 4>United States, and Turkey's Instagram ban hits female entrepreneurs. Orders

0:16:08.840 --> 0:16:11.960
<v Speaker 4>drown up from female led businesses who relied on the

0:16:12.000 --> 0:16:16.400
<v Speaker 4>popular social media platform to drive sales. Turkey abruptly blocked

0:16:16.440 --> 0:16:22.280
<v Speaker 4>access to Instagram on August second, without explaining why that

0:16:22.480 --> 0:16:26.240
<v Speaker 4>was a very e commerce themed and focus selection of

0:16:26.280 --> 0:16:29.160
<v Speaker 4>news stories out there today. The earning story also continues,

0:16:29.280 --> 0:16:32.480
<v Speaker 4>and we continue to look at cybersecurity and Akamai. The

0:16:32.480 --> 0:16:35.960
<v Speaker 4>company reported earnings after the closing belt Thursday. Co founder

0:16:36.000 --> 0:16:38.800
<v Speaker 4>and CEO Tom Layson joins us now for more.

0:16:39.760 --> 0:16:41.480
<v Speaker 3>There are loads of words.

0:16:41.080 --> 0:16:45.160
<v Speaker 4>And adjectives and praise used by the cell side Tom

0:16:45.320 --> 0:16:49.840
<v Speaker 4>a clean print, strong quarter growth, But what there's less

0:16:49.840 --> 0:16:53.200
<v Speaker 4>discussion of is why what were the specific factors in

0:16:53.280 --> 0:16:54.120
<v Speaker 4>the quarter.

0:16:54.320 --> 0:16:57.240
<v Speaker 3>That put Akamai up from Well, we.

0:16:57.280 --> 0:17:02.400
<v Speaker 9>Have several market leading products, and security obviously very important

0:17:02.400 --> 0:17:07.960
<v Speaker 9>today given the large number of damaging attacks, ransomware, data exfiltration,

0:17:08.640 --> 0:17:10.320
<v Speaker 9>and our enterprise.

0:17:09.920 --> 0:17:11.960
<v Speaker 2>Compute business doing very well.

0:17:12.680 --> 0:17:15.800
<v Speaker 9>You know, we talked about just really getting started in

0:17:15.880 --> 0:17:18.119
<v Speaker 9>that aspect of the business this year, and now we

0:17:18.160 --> 0:17:20.600
<v Speaker 9>think we'll exit the year at a one hundred million

0:17:20.640 --> 0:17:24.080
<v Speaker 9>dollar a year annual run rate and revenue with a

0:17:24.080 --> 0:17:26.800
<v Speaker 9>lot of exciting potential for the future. And I think

0:17:26.840 --> 0:17:30.800
<v Speaker 9>those are great proof points that investors are now seeing.

0:17:31.440 --> 0:17:33.600
<v Speaker 3>On the enterprise side. I find that very interesting.

0:17:34.400 --> 0:17:38.040
<v Speaker 4>Is it demonstrative of broad strength in your client base

0:17:38.400 --> 0:17:41.480
<v Speaker 4>those industry sort of willingness to spend or is this

0:17:41.560 --> 0:17:46.080
<v Speaker 4>something specific that Achimi is doing that allows you to

0:17:46.080 --> 0:17:48.200
<v Speaker 4>sort of outperform in a difficult environment.

0:17:49.200 --> 0:17:53.719
<v Speaker 9>Well, security is important for every major enterprise, even in

0:17:53.880 --> 0:17:57.320
<v Speaker 9>tough economic times, which we're seeing some of now, and

0:17:57.480 --> 0:17:59.720
<v Speaker 9>we have the market leading products and.

0:17:59.600 --> 0:18:03.159
<v Speaker 2>The major enterprises really need them to be safe.

0:18:03.480 --> 0:18:06.320
<v Speaker 9>And in compute, I think we have a very compelling

0:18:06.400 --> 0:18:09.920
<v Speaker 9>value proposition. You know, we can provide better performance at

0:18:09.920 --> 0:18:12.639
<v Speaker 9>a much lower price point. And when you can do

0:18:12.800 --> 0:18:16.040
<v Speaker 9>that and help a major enterprise save money, well, this

0:18:16.160 --> 0:18:18.320
<v Speaker 9>is a good time to be able to have that happen.

0:18:20.480 --> 0:18:24.040
<v Speaker 4>Tom strength in the areas you outline compute security and

0:18:24.080 --> 0:18:28.560
<v Speaker 4>then a little weakness in CDN. I would like to

0:18:28.600 --> 0:18:32.120
<v Speaker 4>talk about what's happening in your industry overall. I think

0:18:32.119 --> 0:18:38.320
<v Speaker 4>we start with CrowdStrike, endpoint Specialist u DDoS. But what

0:18:38.480 --> 0:18:42.399
<v Speaker 4>was that weak and situation like for Akamai. Was there

0:18:42.440 --> 0:18:46.280
<v Speaker 4>any tangible positive read through for you or any way

0:18:46.280 --> 0:18:48.720
<v Speaker 4>that you capitalized on what happened?

0:18:49.960 --> 0:18:52.919
<v Speaker 9>Well, we don't use that software ourselves, so there was

0:18:52.960 --> 0:18:57.040
<v Speaker 9>no impact to Akamai, and we helped our customers you

0:18:57.080 --> 0:18:59.560
<v Speaker 9>know where we could, But that was an area where

0:18:59.600 --> 0:19:03.320
<v Speaker 9>we don't really do business I think there were a

0:19:03.320 --> 0:19:07.680
<v Speaker 9>lot of learnings for the industry as a whole. You know, first,

0:19:07.960 --> 0:19:11.359
<v Speaker 9>it really is clear you just can't be doing updates

0:19:12.000 --> 0:19:15.600
<v Speaker 9>all at once everywhere in the world. You know, most

0:19:15.600 --> 0:19:18.359
<v Speaker 9>of the time that's okay, but eventually you're going to

0:19:18.400 --> 0:19:21.680
<v Speaker 9>have an unintended consequence, and if you update the entire

0:19:21.720 --> 0:19:24.720
<v Speaker 9>world at one time, you've got a disaster. You know,

0:19:24.760 --> 0:19:27.440
<v Speaker 9>that's a lesson we learned at Akamai pretty painfully about

0:19:27.480 --> 0:19:31.399
<v Speaker 9>twenty years ago, and ever since then. You know, we.

0:19:31.800 --> 0:19:33.280
<v Speaker 2>Phase our updates.

0:19:33.400 --> 0:19:37.000
<v Speaker 9>After you've been through QA and you're confident, you still

0:19:37.080 --> 0:19:39.600
<v Speaker 9>just go one stage at a time, so in case

0:19:40.160 --> 0:19:43.159
<v Speaker 9>there's something that was unanticipated, you catch it before you

0:19:43.280 --> 0:19:46.840
<v Speaker 9>cause a problem. I think also there's a much better

0:19:46.920 --> 0:19:51.959
<v Speaker 9>understanding that reliability matters, and it takes a lot of investment,

0:19:52.440 --> 0:19:55.840
<v Speaker 9>but you see what happens when when you have something

0:19:55.960 --> 0:19:58.160
<v Speaker 9>like this. I think enterprises will pay a lot more

0:19:58.160 --> 0:20:00.359
<v Speaker 9>attention to reliability going forward.

0:20:01.520 --> 0:20:05.200
<v Speaker 4>I hear you on that I'm not a cyber expert

0:20:06.080 --> 0:20:08.040
<v Speaker 4>by any means, and I know that a lot of

0:20:08.640 --> 0:20:13.800
<v Speaker 4>CIOs cyber managers CSOs watched this program and for them,

0:20:13.920 --> 0:20:16.920
<v Speaker 4>top of mind is a sort of academic debate agent

0:20:17.119 --> 0:20:21.480
<v Speaker 4>versus agent lost delivery or security of that delivery of security?

0:20:22.920 --> 0:20:26.359
<v Speaker 4>Do you see though, away from the academic debate on

0:20:26.400 --> 0:20:30.919
<v Speaker 4>the best security systems action, your enterprise customers saw the

0:20:30.960 --> 0:20:33.720
<v Speaker 4>news cycle and picked up the phone and said, we

0:20:33.800 --> 0:20:35.880
<v Speaker 4>are changing how we do cyber.

0:20:37.400 --> 0:20:40.240
<v Speaker 9>No there, you know, they were just trying to get

0:20:40.240 --> 0:20:44.639
<v Speaker 9>out of the disaster. I think going forward there'll be

0:20:44.680 --> 0:20:48.560
<v Speaker 9>a time of reflection into how do you prevent this

0:20:48.600 --> 0:20:52.040
<v Speaker 9>from happening? How do you keep a vendor from you know,

0:20:52.160 --> 0:20:56.359
<v Speaker 9>having this consequence. And it's not just a situation of

0:20:56.400 --> 0:21:00.000
<v Speaker 9>having multiple vendors, because might even increase the problem because

0:21:00.080 --> 0:21:01.160
<v Speaker 9>of any one of them.

0:21:01.480 --> 0:21:02.359
<v Speaker 2>Has a big issue.

0:21:02.400 --> 0:21:05.720
<v Speaker 9>You got a problem, but really selecting vendors who put

0:21:05.760 --> 0:21:08.960
<v Speaker 9>the extra effort and investment into making sure things stay

0:21:09.000 --> 0:21:10.920
<v Speaker 9>reliable as reliable as possible.

0:21:12.359 --> 0:21:16.119
<v Speaker 4>Tom, I guess closer to home for you, a higher

0:21:16.160 --> 0:21:20.440
<v Speaker 4>profile d doos attack on Azure in June. What did

0:21:20.480 --> 0:21:23.840
<v Speaker 4>you make of that and Microsoft's handling it and how

0:21:23.840 --> 0:21:25.840
<v Speaker 4>did it impact you?

0:21:25.840 --> 0:21:28.840
<v Speaker 9>You know, DDoS attacks are probably the oldest kinds of

0:21:28.880 --> 0:21:30.240
<v Speaker 9>cyber attacks out there.

0:21:30.680 --> 0:21:32.960
<v Speaker 2>They go back more than twenty years as well.

0:21:33.640 --> 0:21:36.560
<v Speaker 9>You know, that's an area where we have leading services

0:21:37.000 --> 0:21:39.800
<v Speaker 9>to help defend customers. In fact, you know, just last

0:21:39.840 --> 0:21:42.920
<v Speaker 9>week we saw one of the top ten DDoS attacks

0:21:43.119 --> 0:21:45.080
<v Speaker 9>of all time coming out of the Middle East.

0:21:45.680 --> 0:21:48.920
<v Speaker 2>You know, with the war there, we're able to.

0:21:48.800 --> 0:21:52.639
<v Speaker 9>Defend a very important financial enterprise from that kind of

0:21:52.640 --> 0:21:55.800
<v Speaker 9>an attack. So even though it's been around a long time,

0:21:56.560 --> 0:22:00.119
<v Speaker 9>we are still seeing some very large DDoS attacks and

0:22:00.119 --> 0:22:02.840
<v Speaker 9>it's important for enterprises to have stayed.

0:22:02.600 --> 0:22:03.560
<v Speaker 2>Up the art defenses.

0:22:03.640 --> 0:22:09.000
<v Speaker 4>Even today, did us Tom Layton, CEO of Akamai. It's

0:22:09.000 --> 0:22:11.280
<v Speaker 4>great to have you back on Bloomberg Technology on your

0:22:11.280 --> 0:22:14.600
<v Speaker 4>strong quarter, but also I appreciate discussing news of late.

0:22:14.680 --> 0:22:16.480
<v Speaker 3>Now coming up on the show, we're going to talk

0:22:16.480 --> 0:22:17.160
<v Speaker 3>about how some.

0:22:17.080 --> 0:22:21.000
<v Speaker 4>Of the worlds in tech think about Kamala Harris's campaign

0:22:21.280 --> 0:22:25.080
<v Speaker 4>with Tech for Kamala co founder Shannon Nash and also

0:22:26.400 --> 0:22:29.960
<v Speaker 4>Matt Mahn, the mayor of San Jose. That conversation is

0:22:29.960 --> 0:22:34.920
<v Speaker 4>coming up next Q the Beautiful Pictures Expedia eight point

0:22:34.960 --> 0:22:39.399
<v Speaker 4>six percent strong quarter, positive discussion about the summer months,

0:22:39.920 --> 0:22:44.440
<v Speaker 4>different to what we heard from Airbnb. An interesting one

0:22:44.440 --> 0:22:50.800
<v Speaker 4>to track this is Bloomberg Technology.

0:22:57.359 --> 0:23:02.040
<v Speaker 1>I am now officially the Democratic number. You're in Atlanta Georgia.

0:23:02.119 --> 0:23:04.800
<v Speaker 10>When President Biden was on the ballot, Democrats had basically

0:23:04.840 --> 0:23:06.240
<v Speaker 10>conceded to losing the state.

0:23:06.560 --> 0:23:09.720
<v Speaker 7>Now that it's Vice President Kamala Harris democratcy, all seven

0:23:09.760 --> 0:23:11.080
<v Speaker 7>swing states are back in play.

0:23:11.320 --> 0:23:15.000
<v Speaker 10>Kamala Harris is well known, but she is not well defined.

0:23:15.080 --> 0:23:17.399
<v Speaker 3>She's not somebody I've researched to in depth.

0:23:17.560 --> 0:23:20.240
<v Speaker 11>She's kind of laid low, But that's kind of what

0:23:20.359 --> 0:23:21.320
<v Speaker 11>Vice presidents doude.

0:23:21.400 --> 0:23:25.720
<v Speaker 7>You're going to see both Democrats and Republicans defining her

0:23:25.880 --> 0:23:29.000
<v Speaker 7>in the ways they want those voters to see her.

0:23:29.240 --> 0:23:32.479
<v Speaker 7>Success for Harris will mean sustaining the momentum that's been

0:23:32.600 --> 0:23:34.080
<v Speaker 7>fueling her historic run.

0:23:34.240 --> 0:23:36.280
<v Speaker 10>I get chills when I think about that, just being

0:23:36.320 --> 0:23:38.920
<v Speaker 10>a part of history, understanding that we have someone who

0:23:38.960 --> 0:23:40.000
<v Speaker 10>represents our communities.

0:23:40.080 --> 0:23:43.440
<v Speaker 6>She's also like a really dynamic candidate, especially for younger

0:23:43.480 --> 0:23:44.159
<v Speaker 6>people like us.

0:23:44.160 --> 0:23:47.640
<v Speaker 12>See people, if you asked a month ago, they probably

0:23:47.640 --> 0:23:50.040
<v Speaker 12>would have said that the country is not ready. But

0:23:50.200 --> 0:23:53.480
<v Speaker 12>now people are rethinking that and they're like, oh my gosh,

0:23:53.600 --> 0:23:56.080
<v Speaker 12>this could actually happen and I could be a part

0:23:56.080 --> 0:23:56.240
<v Speaker 12>of it.

0:24:00.520 --> 0:24:03.119
<v Speaker 4>You can watch the full story of that at Bloomberg

0:24:03.160 --> 0:24:05.480
<v Speaker 4>dot com and some of the recent guests here on

0:24:05.520 --> 0:24:08.960
<v Speaker 4>Bloomberg Technology have also been weighing in on the election

0:24:09.400 --> 0:24:10.320
<v Speaker 4>and Kamala Harris.

0:24:10.320 --> 0:24:10.840
<v Speaker 3>Listen to this.

0:24:11.600 --> 0:24:14.000
<v Speaker 2>There's going to be huge amounts of money that come

0:24:14.040 --> 0:24:15.280
<v Speaker 2>in on both sides.

0:24:15.480 --> 0:24:17.480
<v Speaker 13>I think there are a lot of people like myself

0:24:17.520 --> 0:24:21.440
<v Speaker 13>who are really enthusiastic and excited about what the Kamala

0:24:21.480 --> 0:24:22.920
<v Speaker 13>Harris campaign stands for.

0:24:23.200 --> 0:24:25.960
<v Speaker 1>She's been a longtime supporter of the tech industry.

0:24:26.160 --> 0:24:28.360
<v Speaker 8>She will do very well in the debate, and she's

0:24:28.840 --> 0:24:30.439
<v Speaker 8>she's all over a high energy.

0:24:30.600 --> 0:24:34.640
<v Speaker 13>She's from the Bay Area. She understands technology, she understands innovation.

0:24:34.880 --> 0:24:38.000
<v Speaker 1>She shares a lot of values that many of us

0:24:38.000 --> 0:24:41.000
<v Speaker 1>in the tech industry have, particularly with regard to immigration.

0:24:40.920 --> 0:24:45.600
<v Speaker 13>And ensuring that we are continuing to drive innovation in

0:24:45.640 --> 0:24:48.159
<v Speaker 13>this country.

0:24:49.440 --> 0:24:52.679
<v Speaker 4>Let's keep the conversation going with Tech for Kamala, a

0:24:52.720 --> 0:24:56.359
<v Speaker 4>grassroots group of about twelve hundred tech workers that just

0:24:56.400 --> 0:24:59.359
<v Speaker 4>came out in support of the Democratic candidate. Tech for

0:24:59.400 --> 0:25:03.159
<v Speaker 4>Kamala co founder former Wing CFO Shannon Nash joins us

0:25:03.160 --> 0:25:06.640
<v Speaker 4>now alongside the Mayor of San Jose, Matt Mahon and Shannon.

0:25:07.320 --> 0:25:12.399
<v Speaker 4>Good morning, Welcome back to Bloomberg Technology. Those points made

0:25:12.600 --> 0:25:16.200
<v Speaker 4>in those sound bites and the backing that this new

0:25:16.280 --> 0:25:20.600
<v Speaker 4>organization is giving actually are the same points that many

0:25:20.720 --> 0:25:25.200
<v Speaker 4>Silicon Valley voices bench capesis in particular made in backing

0:25:25.359 --> 0:25:27.359
<v Speaker 4>of JD Vance. And I just want to point that

0:25:27.400 --> 0:25:30.639
<v Speaker 4>out because we've sort of had equal coverage here on

0:25:30.680 --> 0:25:34.280
<v Speaker 4>the program. But what compelled you in the first instance

0:25:34.400 --> 0:25:36.600
<v Speaker 4>to be a part of this movement and what is

0:25:36.640 --> 0:25:40.520
<v Speaker 4>it that you see in Kamala Harris as being the

0:25:40.600 --> 0:25:43.280
<v Speaker 4>right president for the technology industry.

0:25:46.560 --> 0:25:48.280
<v Speaker 1>Yeah, I'll start really quick with that.

0:25:49.040 --> 0:25:52.800
<v Speaker 14>I think what we've had is a few people with

0:25:53.640 --> 0:25:55.920
<v Speaker 14>big microphones, if you will, to be able to talk

0:25:55.960 --> 0:25:57.360
<v Speaker 14>about their support.

0:25:58.600 --> 0:25:59.920
<v Speaker 1>Of Trump and Van.

0:26:00.800 --> 0:26:04.639
<v Speaker 14>Why we founded Tech for Kamala was to give voice

0:26:04.720 --> 0:26:09.120
<v Speaker 14>to the over seven million tech workers, people who work

0:26:09.520 --> 0:26:11.920
<v Speaker 14>every day at some of the most well known tech

0:26:11.920 --> 0:26:18.800
<v Speaker 14>companies vcs, founders, operators, engineers, marketers, you name it, and

0:26:18.880 --> 0:26:20.840
<v Speaker 14>all the industries that are related to tech. To give

0:26:20.920 --> 0:26:25.440
<v Speaker 14>voice to other people who actually feel completely different and

0:26:25.480 --> 0:26:28.760
<v Speaker 14>in fact are supporting Kamala Harris for all of the

0:26:28.800 --> 0:26:32.240
<v Speaker 14>work that she has already done in supporting things like

0:26:32.920 --> 0:26:38.240
<v Speaker 14>responsible AI, STEM education, just being a real innovative leader.

0:26:38.400 --> 0:26:40.440
<v Speaker 1>So that is why we founded the organization, and.

0:26:40.359 --> 0:26:43.240
<v Speaker 14>I gotta tell you, ed, within like a week, we

0:26:43.359 --> 0:26:46.159
<v Speaker 14>had over twelve hundred people who wanted to jump on

0:26:46.240 --> 0:26:49.360
<v Speaker 14>the bandwagon and also announce their support.

0:26:49.600 --> 0:26:52.080
<v Speaker 1>So you know, it's one vote for one person.

0:26:52.440 --> 0:26:54.920
<v Speaker 14>Whether you have a lot of money or a big microphone,

0:26:54.920 --> 0:26:57.080
<v Speaker 14>we still all get one vote. And so this movement

0:26:57.400 --> 0:27:00.399
<v Speaker 14>has aiming to give voice to the millions of people

0:27:00.600 --> 0:27:02.639
<v Speaker 14>who have one vote and want to make sure that

0:27:02.680 --> 0:27:03.520
<v Speaker 14>their vote is heard.

0:27:04.920 --> 0:27:08.359
<v Speaker 4>Maya, mayhe your city, San Jose is just so closely

0:27:08.400 --> 0:27:11.960
<v Speaker 4>and intimately linked to the technology industry as well. You

0:27:12.000 --> 0:27:16.280
<v Speaker 4>come at this, I guess from the political perspective, but

0:27:16.400 --> 0:27:19.679
<v Speaker 4>why do you think that the technology industry is an

0:27:19.680 --> 0:27:22.680
<v Speaker 4>important voice in backing your preferred candidate.

0:27:24.160 --> 0:27:27.239
<v Speaker 15>Well before I was mayor of San Jose, which is

0:27:27.600 --> 0:27:31.000
<v Speaker 15>the capital of Silicon Valley with nearly one million residents,

0:27:31.119 --> 0:27:36.480
<v Speaker 15>really the hometown for tech's workforce and home to many

0:27:36.600 --> 0:27:40.440
<v Speaker 15>leading technology companies like Adobe, Zoom, Cisco.

0:27:40.119 --> 0:27:42.840
<v Speaker 8>Paipal, and on and on. I was in the tech

0:27:42.880 --> 0:27:43.640
<v Speaker 8>sector myself.

0:27:43.680 --> 0:27:46.880
<v Speaker 15>In fact, I first met Kamala Harris about a decade

0:27:46.920 --> 0:27:50.320
<v Speaker 15>ago at Airbnb, which was just down the street from

0:27:50.320 --> 0:27:52.280
<v Speaker 15>a startup that I was involved.

0:27:51.920 --> 0:27:56.120
<v Speaker 8>In founding and leading, and I was very impressed with her.

0:27:56.600 --> 0:27:59.760
<v Speaker 15>You know, she came in sharing her work on public safety,

0:28:00.040 --> 0:28:02.119
<v Speaker 15>which continues to be top of mind for all of us,

0:28:02.160 --> 0:28:03.760
<v Speaker 15>and she has great experience there.

0:28:04.080 --> 0:28:07.160
<v Speaker 8>But she also engaged with a number of us who

0:28:07.160 --> 0:28:07.800
<v Speaker 8>were tech.

0:28:07.680 --> 0:28:12.720
<v Speaker 15>Entrepreneurs and founders around innovation topics. She understood the importance

0:28:12.800 --> 0:28:18.120
<v Speaker 15>of having a diverse workforce and supporting immigration, intellectual property,

0:28:18.640 --> 0:28:22.040
<v Speaker 15>and the kinds of infrastructure investments that we need in

0:28:22.080 --> 0:28:24.480
<v Speaker 15>common sense approach to regulations.

0:28:24.560 --> 0:28:27.760
<v Speaker 8>So, you know, really excited that she's the top of

0:28:27.800 --> 0:28:28.200
<v Speaker 8>the ticket.

0:28:29.800 --> 0:28:33.120
<v Speaker 4>Shannon the Man makes an interesting point, which is policy

0:28:33.280 --> 0:28:39.800
<v Speaker 4>specific policy when it comes to technology, antitrust, artificial intelligence.

0:28:40.120 --> 0:28:42.120
<v Speaker 4>I think a lot of people are asking questions, are

0:28:42.120 --> 0:28:46.520
<v Speaker 4>there specific ways that Vice President Harris will be different

0:28:46.960 --> 0:28:50.200
<v Speaker 4>from President Biden's administration on the policy side as it

0:28:50.200 --> 0:28:50.960
<v Speaker 4>relates to tech.

0:28:53.240 --> 0:28:56.160
<v Speaker 14>Yeah, Look, what I think that she's coming out with

0:28:56.240 --> 0:28:59.920
<v Speaker 14>a lot of our policies. As you know, she's got

0:29:00.120 --> 0:29:03.560
<v Speaker 14>ninety days or less. Right in terms of making her

0:29:03.640 --> 0:29:06.160
<v Speaker 14>voice heard, what I will say to you is that

0:29:06.840 --> 0:29:11.000
<v Speaker 14>we believe in an administration that continues some of the

0:29:11.040 --> 0:29:14.160
<v Speaker 14>things that President Biden was working on. I think that

0:29:14.200 --> 0:29:18.000
<v Speaker 14>she will also bring a fresh perspective. You know, she's

0:29:18.120 --> 0:29:21.880
<v Speaker 14>from here, she was an attorney general. She has spent

0:29:21.960 --> 0:29:24.840
<v Speaker 14>a lot of time, as Matt has said, really listening

0:29:24.920 --> 0:29:27.600
<v Speaker 14>to you know, what would be innovative for tech.

0:29:27.800 --> 0:29:29.160
<v Speaker 1>And so I think that we're going to see a

0:29:29.200 --> 0:29:31.760
<v Speaker 1>lot of policies and things.

0:29:31.520 --> 0:29:34.160
<v Speaker 14>That are really helpful for the tech industry, but also

0:29:34.240 --> 0:29:36.800
<v Speaker 14>that are inclusive. And I think that's really important to

0:29:36.880 --> 0:29:39.440
<v Speaker 14>point out about, you know, something that I think a

0:29:39.440 --> 0:29:41.800
<v Speaker 14>lot of people in tech would like to see.

0:29:42.680 --> 0:29:46.320
<v Speaker 3>Man man local issues.

0:29:46.800 --> 0:29:49.400
<v Speaker 4>You know, our guests in that SoundBite and challenge just

0:29:49.440 --> 0:29:52.320
<v Speaker 4>now reflect on Kamala Harris being from the Bay and

0:29:52.400 --> 0:29:56.720
<v Speaker 4>outside of technology. There are issues actually statewide, but the

0:29:56.800 --> 0:30:01.680
<v Speaker 4>clearing of encampments or encampments suitepes for EXAs following the

0:30:01.760 --> 0:30:07.360
<v Speaker 4>Scotis Grants past decision. It's an interesting case study. How

0:30:07.400 --> 0:30:09.800
<v Speaker 4>do you feel that that issue will be addressed by

0:30:09.800 --> 0:30:12.880
<v Speaker 4>the Harris campaign and how central is an issue do

0:30:12.920 --> 0:30:15.560
<v Speaker 4>you think it will be in a presidential election?

0:30:16.000 --> 0:30:20.880
<v Speaker 15>At Lodge, look, I want a partner in the White

0:30:20.960 --> 0:30:23.960
<v Speaker 15>House who is not going to use Silicon Valley or

0:30:24.040 --> 0:30:27.760
<v Speaker 15>California more broadly merely as a punching bag. I want

0:30:27.800 --> 0:30:32.200
<v Speaker 15>a partner who is pragmatic, who understands our region, who's

0:30:32.240 --> 0:30:34.680
<v Speaker 15>going to help us deal with the very real challenges

0:30:34.720 --> 0:30:38.040
<v Speaker 15>we face. You mentioned homelessness, which is an area where

0:30:38.320 --> 0:30:43.320
<v Speaker 15>we are getting more pragmatic. San Jose saw fifteen percent

0:30:43.400 --> 0:30:46.240
<v Speaker 15>reduction last year. We need a partner in Washington who's

0:30:46.280 --> 0:30:48.120
<v Speaker 15>going to help fund innovative solutions.

0:30:48.320 --> 0:30:49.760
<v Speaker 8>Same goes for public safety.

0:30:50.200 --> 0:30:53.720
<v Speaker 15>That's an area where I appreciate that Kamala Harris has

0:30:53.720 --> 0:30:59.200
<v Speaker 15>been a pragmatic centrist and I think the right approaches.

0:31:00.440 --> 0:31:03.080
<v Speaker 4>May men, I just jump in and ask, you know,

0:31:03.160 --> 0:31:07.240
<v Speaker 4>from the Trump Vans perspective, the messaging of that campaign

0:31:07.880 --> 0:31:10.440
<v Speaker 4>is that Kamala Harris has been responsible for what they

0:31:10.480 --> 0:31:14.200
<v Speaker 4>see as being big issues with Bay Area in California cities.

0:31:14.440 --> 0:31:18.440
<v Speaker 4>Your city is under the microscope to that extent. Are

0:31:18.440 --> 0:31:22.200
<v Speaker 4>you worried about that message resonating from the Trump Vans campaign.

0:31:24.480 --> 0:31:27.400
<v Speaker 15>No, I'm not, because I think Kamala Harris has a

0:31:27.480 --> 0:31:30.280
<v Speaker 15>record that stands on its own and she can speak

0:31:30.320 --> 0:31:33.560
<v Speaker 15>to her policy positions, which it's you know, it's kind

0:31:33.600 --> 0:31:34.080
<v Speaker 15>of ironic.

0:31:34.240 --> 0:31:37.760
<v Speaker 8>She gets attacked from both sides for being too tough.

0:31:37.600 --> 0:31:41.320
<v Speaker 15>On crime or being associated with what some perceive as

0:31:41.360 --> 0:31:44.680
<v Speaker 15>California's crime problem, I think she's right down the middle,

0:31:44.680 --> 0:31:47.239
<v Speaker 15>and that's exactly where I am somebody who understands her

0:31:47.280 --> 0:31:50.000
<v Speaker 15>has to be consequences for committing crime, but we also

0:31:50.000 --> 0:31:53.600
<v Speaker 15>should invest in rehabilitation and support those with addiction and

0:31:53.840 --> 0:31:54.880
<v Speaker 15>helping them get treatment.

0:31:55.000 --> 0:31:58.440
<v Speaker 8>So I think she's got the right pragmatic approach.

0:31:58.120 --> 0:32:00.200
<v Speaker 15>And we need that kind of partner in Washington we

0:32:00.280 --> 0:32:02.880
<v Speaker 15>navigate some very real challenges of our state faces.

0:32:04.240 --> 0:32:06.520
<v Speaker 4>Shannon, I want to finally go back to the idea

0:32:06.560 --> 0:32:08.720
<v Speaker 4>that we talked about at the start, that many came

0:32:08.760 --> 0:32:13.360
<v Speaker 4>on this program and said jd. Vance understands entrepreneurs He

0:32:13.440 --> 0:32:15.520
<v Speaker 4>has been a venture capitalist, whether you see that as

0:32:15.520 --> 0:32:21.080
<v Speaker 4>a positive or otherwise. They see him as being supportive

0:32:21.120 --> 0:32:25.000
<v Speaker 4>of technology because of his direct industry experience. What would

0:32:25.080 --> 0:32:28.240
<v Speaker 4>your answer to that be, And do you see the

0:32:28.280 --> 0:32:32.160
<v Speaker 4>same level of support for entrepreneurship from Kamala Harris.

0:32:33.880 --> 0:32:35.360
<v Speaker 1>I think that Kamala Harris.

0:32:35.400 --> 0:32:39.720
<v Speaker 14>Actually I see more support quite frankly from Kamala Harris

0:32:39.720 --> 0:32:40.520
<v Speaker 14>for entrepreneurship.

0:32:40.560 --> 0:32:43.720
<v Speaker 1>I think that she has shown that already just by the.

0:32:43.640 --> 0:32:47.720
<v Speaker 14>Simple fact that you know, you've reported on how quickly so.

0:32:47.720 --> 0:32:49.000
<v Speaker 1>Many people have mobilized.

0:32:49.040 --> 0:32:52.520
<v Speaker 14>It hasn't even been two weeks, right in terms of

0:32:52.600 --> 0:32:55.760
<v Speaker 14>supporting her and supporting this ticket, I think her VP

0:32:55.800 --> 0:32:56.280
<v Speaker 14>pick is.

0:32:56.280 --> 0:32:58.560
<v Speaker 1>Also really impressive.

0:32:58.760 --> 0:33:00.720
<v Speaker 14>And so what I would say to you was, it's

0:33:00.760 --> 0:33:02.560
<v Speaker 14>one thing to have people come on this show with

0:33:02.560 --> 0:33:05.400
<v Speaker 14>big microphones. It's another thing to listen to the people,

0:33:05.640 --> 0:33:08.760
<v Speaker 14>the seven million people that are in tech, listen to

0:33:09.000 --> 0:33:11.920
<v Speaker 14>what they're interested in with their interested in for their future,

0:33:11.960 --> 0:33:15.240
<v Speaker 14>for their families. Who in the White House will most

0:33:15.320 --> 0:33:18.200
<v Speaker 14>represent them? And I think that that clear choice is

0:33:18.280 --> 0:33:19.440
<v Speaker 14>Kamala Harris.

0:33:20.680 --> 0:33:23.600
<v Speaker 4>Tech for Kamala co founder and former Wing CFO Shannon

0:33:23.720 --> 0:33:27.840
<v Speaker 4>Nash and San Jose mayor Matt Mehn, Thank you both. Okay,

0:33:27.840 --> 0:33:29.520
<v Speaker 4>I want to go back to markets and look very

0:33:29.560 --> 0:33:32.000
<v Speaker 4>quickly at what's going on. As a reminder, it's kind

0:33:32.000 --> 0:33:35.239
<v Speaker 4>of a big moment for the NASDAQ one hundred. On

0:33:35.280 --> 0:33:39.800
<v Speaker 4>a five day basis, we are basically flat, completely flat,

0:33:39.840 --> 0:33:41.960
<v Speaker 4>as you can see on your screen. But if the

0:33:41.960 --> 0:33:44.360
<v Speaker 4>index drops on a weekly basis, that will be five

0:33:44.440 --> 0:33:47.200
<v Speaker 4>straight weeks of declines, the worst run of weekly declines

0:33:47.240 --> 0:33:50.880
<v Speaker 4>going back to May of twenty twenty two. If we

0:33:51.080 --> 0:33:53.600
<v Speaker 4>end in positive territory by more than about two tenths

0:33:53.640 --> 0:33:56.800
<v Speaker 4>of a percent on the week. Then that would snap

0:33:56.840 --> 0:33:58.920
<v Speaker 4>four straight weeks of declines, and I guess the narrative

0:33:58.920 --> 0:34:00.959
<v Speaker 4>would be a little bit different. Is a big factor

0:34:01.000 --> 0:34:03.480
<v Speaker 4>in video isn't until August twenty eighth. That's kind of

0:34:03.480 --> 0:34:05.880
<v Speaker 4>where we're looking. Bitcoin check out as well. Early in

0:34:05.880 --> 0:34:08.720
<v Speaker 4>the week, when we had that big financial market pressure

0:34:08.760 --> 0:34:12.560
<v Speaker 4>on Monday, bitcoin was nearer to fifty thousand US dollars.

0:34:12.880 --> 0:34:13.759
<v Speaker 3>It's now nearer to.

0:34:13.719 --> 0:34:16.360
<v Speaker 4>Sixty or just above sixty thousand US dollars per token.

0:34:16.719 --> 0:34:18.880
<v Speaker 4>But you can see it's kind of traded in an

0:34:18.920 --> 0:34:22.839
<v Speaker 4>interesting sideways pattern throughout the week, and it's becoming part

0:34:22.880 --> 0:34:25.279
<v Speaker 4>of the discussion around the election that we just had.

0:34:25.600 --> 0:34:27.040
<v Speaker 4>Coming up on the show, we're going to be joined

0:34:27.040 --> 0:34:30.400
<v Speaker 4>by Alexandra Berbie. You get the Private markets take investor

0:34:30.640 --> 0:34:33.480
<v Speaker 4>at Sound Ventures for her investing thesis on how to

0:34:33.520 --> 0:34:43.880
<v Speaker 4>approach AI from the VC perspective. This is Bloomberg Technology.

0:34:49.600 --> 0:34:51.640
<v Speaker 4>This is Bloomberg Technology, and you're looking at a live

0:34:51.680 --> 0:34:55.240
<v Speaker 4>shot of the principal room. Check out the Bloomberg Technology podcast.

0:34:55.239 --> 0:34:57.120
<v Speaker 4>You know where to find it on the terminal as

0:34:57.160 --> 0:35:00.719
<v Speaker 4>well as on Apple, Spotify, iHeart.

0:35:00.960 --> 0:35:02.160
<v Speaker 3>This is Gwenberg.

0:35:11.160 --> 0:35:13.399
<v Speaker 4>Okay, it's time for VC Spotlight, and today we're taking

0:35:13.400 --> 0:35:15.960
<v Speaker 4>a look at Sound Ventures. It's an early stage VC

0:35:16.120 --> 0:35:19.480
<v Speaker 4>firm founded by Ashton Kutcher and Guy is Siri, which

0:35:19.560 --> 0:35:23.239
<v Speaker 4>is invested in companies like Airbnb, Spotify, Open Ai, and more.

0:35:23.320 --> 0:35:25.960
<v Speaker 4>The firm currently has over a billion dollars in assets,

0:35:26.280 --> 0:35:29.600
<v Speaker 4>and Sound Ventures investor Alexandra Burbie joins us now, having

0:35:29.680 --> 0:35:32.440
<v Speaker 4>recently joined the firm herself. It's good to have you

0:35:32.440 --> 0:35:37.919
<v Speaker 4>here in San Francisco in person. Interesting move. Yes, could

0:35:37.920 --> 0:35:40.480
<v Speaker 4>we start there and talk about, you know, how that

0:35:40.560 --> 0:35:43.960
<v Speaker 4>happened Sound why you wanted to go and work with Ashton?

0:35:44.080 --> 0:35:44.440
<v Speaker 6>Sure?

0:35:44.520 --> 0:35:46.719
<v Speaker 11>So I got to know the team actually over the

0:35:46.760 --> 0:35:48.840
<v Speaker 11>last couple of years and had really just had an

0:35:48.880 --> 0:35:51.799
<v Speaker 11>admiration from Afar for what they were building. And I

0:35:51.800 --> 0:35:56.120
<v Speaker 11>think as the firm has evolved one they've invested in

0:35:56.120 --> 0:35:59.360
<v Speaker 11>some of these incredible companies and some of the best founders,

0:35:59.360 --> 0:36:01.680
<v Speaker 11>and the way that those founders speak about them really

0:36:01.680 --> 0:36:02.200
<v Speaker 11>spoke to me.

0:36:02.320 --> 0:36:04.000
<v Speaker 3>And I think as an angel.

0:36:03.719 --> 0:36:05.960
<v Speaker 11>Investor, I'd had the opportunity to work with a lot

0:36:06.000 --> 0:36:08.520
<v Speaker 11>of early stage companies at the later stage at my

0:36:08.560 --> 0:36:11.360
<v Speaker 11>previous firm. I had also seen some of those companies

0:36:11.400 --> 0:36:13.920
<v Speaker 11>that had made it through ten years with Sound as

0:36:13.920 --> 0:36:16.960
<v Speaker 11>a partner, and often they had mentioned that their their

0:36:17.040 --> 0:36:19.360
<v Speaker 11>favorite investor on their cap table. And so when you

0:36:19.400 --> 0:36:22.200
<v Speaker 11>hear that type of feedback, it's hard to not want

0:36:22.239 --> 0:36:24.200
<v Speaker 11>to get involved. And so I joined the team a

0:36:24.200 --> 0:36:26.240
<v Speaker 11>couple months ago and it's been a great.

0:36:26.080 --> 0:36:26.799
<v Speaker 3>Experience so far.

0:36:27.480 --> 0:36:30.080
<v Speaker 4>The particular interest that I have in Sound is the

0:36:30.120 --> 0:36:35.800
<v Speaker 4>approach to AI application layer, foundation, layer, infrastructure. It's basically

0:36:35.880 --> 0:36:37.719
<v Speaker 4>everything we talk about in the show every single day.

0:36:38.360 --> 0:36:41.160
<v Speaker 4>Do you have a particular focus within those three buckets

0:36:41.280 --> 0:36:42.760
<v Speaker 4>or are you going to approach all three?

0:36:43.000 --> 0:36:45.160
<v Speaker 11>So we are generalists as a firm, and i'd say

0:36:45.200 --> 0:36:47.840
<v Speaker 11>that within that. Of course, where we're spending all of

0:36:47.880 --> 0:36:49.640
<v Speaker 11>our time is in AI. I think it'd be silly

0:36:49.680 --> 0:36:51.879
<v Speaker 11>not to be saying that. But the way that we've

0:36:51.960 --> 0:36:54.279
<v Speaker 11>kind of broken out our fund is in twenty twenty three,

0:36:54.400 --> 0:36:57.240
<v Speaker 11>we launched a thematic fund, which was on the AI

0:36:57.239 --> 0:37:00.600
<v Speaker 11>foundational layer. So we invested in companies like Opening I,

0:37:00.680 --> 0:37:04.040
<v Speaker 11>like Hugging Face, like Anthropic, and that was our thematic fund.

0:37:04.280 --> 0:37:06.080
<v Speaker 1>We use those thematic funds.

0:37:05.760 --> 0:37:08.759
<v Speaker 11>To actually work in parallel with our flagship funds. So

0:37:08.760 --> 0:37:11.279
<v Speaker 11>the flagship fund is where I sit and I spend

0:37:11.360 --> 0:37:16.080
<v Speaker 11>time with companies across the application layer, infrastructure, and then

0:37:16.320 --> 0:37:19.279
<v Speaker 11>the everyday software layer, which is the companies we've been

0:37:19.320 --> 0:37:22.400
<v Speaker 11>investing in for fifteen years. But now they're using AI

0:37:22.440 --> 0:37:24.680
<v Speaker 11>to their advantage. So there are companies that are using

0:37:24.680 --> 0:37:26.960
<v Speaker 11>AI to speak to their customers better, to get to

0:37:27.000 --> 0:37:29.000
<v Speaker 11>market quicker, to be more.

0:37:28.840 --> 0:37:30.120
<v Speaker 1>Effective at what they do.

0:37:30.719 --> 0:37:34.080
<v Speaker 11>And in that way, we are really investing exclusively in

0:37:34.120 --> 0:37:37.120
<v Speaker 11>AI companies. But it's because every company needs to be

0:37:37.200 --> 0:37:39.680
<v Speaker 11>an AI company in some form or another, or frankly,

0:37:39.719 --> 0:37:40.600
<v Speaker 11>they'll get left behind.

0:37:41.200 --> 0:37:43.880
<v Speaker 4>How the firms runs really interesting. There are very large

0:37:43.880 --> 0:37:45.440
<v Speaker 4>firms with people who are over the place. There are

0:37:45.480 --> 0:37:47.759
<v Speaker 4>small firms that are just here in the city. You're

0:37:47.800 --> 0:37:51.760
<v Speaker 4>here in San Francisco. Sound has a relatively large presence

0:37:51.760 --> 0:37:52.320
<v Speaker 4>in SOCOW.

0:37:52.480 --> 0:37:52.839
<v Speaker 1>That's right.

0:37:52.880 --> 0:37:54.680
<v Speaker 4>So you'll be focused on the Bay Area or how

0:37:54.760 --> 0:37:55.479
<v Speaker 4>is that going to work?

0:37:56.120 --> 0:37:58.480
<v Speaker 11>I mean, it's really we're focused on where innovation is

0:37:58.520 --> 0:38:01.000
<v Speaker 11>and so to the extent that that's in the Bay Area,

0:38:01.040 --> 0:38:02.720
<v Speaker 11>of course, we're going to be here. To the extent

0:38:02.760 --> 0:38:04.640
<v Speaker 11>that's in New York and LA, of course, we're going

0:38:04.680 --> 0:38:07.680
<v Speaker 11>to be there, and wherever it is throughout the us

0:38:07.760 --> 0:38:08.640
<v Speaker 11>throughout the globe.

0:38:08.880 --> 0:38:10.000
<v Speaker 1>That's where we'll spend time.

0:38:10.080 --> 0:38:13.120
<v Speaker 11>And so from that perspective, i'd say we're not regionalized

0:38:13.160 --> 0:38:15.640
<v Speaker 11>by any means, but we do spend time with founders

0:38:15.640 --> 0:38:17.480
<v Speaker 11>in all of those places, and we tend to try

0:38:17.480 --> 0:38:18.280
<v Speaker 11>to meet them in prison.

0:38:18.440 --> 0:38:21.799
<v Speaker 4>So you were over at g squared, another name known

0:38:21.800 --> 0:38:23.880
<v Speaker 4>to us here on Bloomberg Technology.

0:38:23.360 --> 0:38:28.319
<v Speaker 3>But kind of like consumer or consumer.

0:38:28.000 --> 0:38:32.000
<v Speaker 4>Internet focused background, you're going to carry that forward and

0:38:32.600 --> 0:38:33.480
<v Speaker 4>merge with AI.

0:38:34.080 --> 0:38:36.120
<v Speaker 3>Or is that an area you've kind of left behind? Yeah?

0:38:36.160 --> 0:38:38.840
<v Speaker 11>So I think that my background has always been generalist

0:38:38.880 --> 0:38:40.680
<v Speaker 11>to a fault, and so I think that I've spent

0:38:40.800 --> 0:38:44.759
<v Speaker 11>time in many different industries on purpose, and it's been

0:38:44.840 --> 0:38:48.080
<v Speaker 11>very deliberate to have that kind of breadth of experience

0:38:48.120 --> 0:38:50.000
<v Speaker 11>and also breadth of founders that I've worked with, and

0:38:50.040 --> 0:38:52.480
<v Speaker 11>so at Sound, i'd say.

0:38:52.320 --> 0:38:53.040
<v Speaker 1>That carries on.

0:38:53.320 --> 0:38:56.040
<v Speaker 11>Many people actually think about Sound as being an exclusively

0:38:56.080 --> 0:38:58.879
<v Speaker 11>consumer firm as well, and that's a misnomer. I'd say

0:38:58.920 --> 0:39:01.160
<v Speaker 11>that people are surprised. Tell them that we've invested it,

0:39:01.320 --> 0:39:03.440
<v Speaker 11>get lab at the seed or sent to one at

0:39:03.440 --> 0:39:06.200
<v Speaker 11>the series seed. You know that that surprises people, and

0:39:06.280 --> 0:39:09.319
<v Speaker 11>so you know, I like that element of surprise one.

0:39:09.400 --> 0:39:11.520
<v Speaker 11>But I do think that having a consumer background is

0:39:11.520 --> 0:39:15.239
<v Speaker 11>actually really helpful for the enterprise because consumer companies think

0:39:15.400 --> 0:39:17.880
<v Speaker 11>about brand day one. That's their bread to get it

0:39:17.960 --> 0:39:21.200
<v Speaker 11>telling stories exactly, and the enterprise it takes a lot

0:39:21.239 --> 0:39:23.160
<v Speaker 11>more for them to get to that go to market,

0:39:23.160 --> 0:39:25.719
<v Speaker 11>and they're focused on their product day one, and they're

0:39:25.719 --> 0:39:27.799
<v Speaker 11>focused on the technical side of building out their team.

0:39:28.280 --> 0:39:30.840
<v Speaker 11>We can be a really helpful storyteller because we have

0:39:30.920 --> 0:39:33.279
<v Speaker 11>this consumer lens, and we're actually able to help them

0:39:33.280 --> 0:39:36.400
<v Speaker 11>in a very differentiated way because consumer is part of

0:39:36.400 --> 0:39:36.920
<v Speaker 11>our roots.

0:39:37.160 --> 0:39:38.960
<v Speaker 1>And so I think that actually bringing.

0:39:38.960 --> 0:39:41.400
<v Speaker 11>The two of those together is something I'm very excited

0:39:41.400 --> 0:39:43.400
<v Speaker 11>about and I'm looking forward to it.

0:39:43.640 --> 0:39:46.680
<v Speaker 4>Alexandra berbeus sound Bench is great to have you so

0:39:46.760 --> 0:39:49.319
<v Speaker 4>early on in your time at a new firm, accounset

0:39:49.600 --> 0:39:53.640
<v Speaker 4>in San Francisco. Okay, coming up, Musk sued an advertising

0:39:53.680 --> 0:39:56.680
<v Speaker 4>group of organizing a boycott of ads on X.

0:39:57.320 --> 0:39:58.680
<v Speaker 3>Now that group.

0:39:58.960 --> 0:40:01.840
<v Speaker 4>Is shutting down, will have the details next. This is

0:40:01.840 --> 0:40:24.520
<v Speaker 4>Bloomberg Technology. It's the final few days of the twenty

0:40:24.600 --> 0:40:27.759
<v Speaker 4>twenty four Olympics in Paris, and the Global Sporting Showcase

0:40:28.040 --> 0:40:31.760
<v Speaker 4>has been going viral daily. It's not just sports taking

0:40:31.800 --> 0:40:36.240
<v Speaker 4>on the Internet by storm, but also chocolate muffins. Norwegian

0:40:36.239 --> 0:40:39.919
<v Speaker 4>swimmer Henrick Christiansen, now known as the Muffin Man, went

0:40:40.040 --> 0:40:42.920
<v Speaker 4>viral on TikTok for videos about his love for the

0:40:43.000 --> 0:40:46.760
<v Speaker 4>muffins in the Olympic Village cafeteria, gaining more than twenty

0:40:47.160 --> 0:40:51.960
<v Speaker 4>million views. Another breakout star is Turkish shooter Usa d Ketch,

0:40:52.239 --> 0:40:55.040
<v Speaker 4>who went viral for winning the silver medal in air

0:40:55.120 --> 0:40:59.040
<v Speaker 4>pistol shooting without using any equipment. The athlete caught the

0:40:59.080 --> 0:41:03.040
<v Speaker 4>attention of Elon Musk, who posted a meme of the

0:41:03.040 --> 0:41:07.800
<v Speaker 4>shooter on x okay. The Global Alliance for Responsible Media,

0:41:07.840 --> 0:41:13.160
<v Speaker 4>a prominent coalition of advertisers, dissolved yesterday, just days after

0:41:13.200 --> 0:41:17.360
<v Speaker 4>Elon Musk's x filed a lawsuit against it over organizing

0:41:17.360 --> 0:41:20.920
<v Speaker 4>a boycott of the platform's advertisements. The coalition says the

0:41:20.960 --> 0:41:25.880
<v Speaker 4>whole ordeal has quote drained its resources and finances, prompting

0:41:25.880 --> 0:41:29.080
<v Speaker 4>it to stop its activities. Joining me on set Bloomberg's

0:41:29.080 --> 0:41:31.719
<v Speaker 4>asha counts, I've done a lot of reporting over the

0:41:31.800 --> 0:41:35.880
<v Speaker 4>years on Musk's litigation. It's a tool that he uses,

0:41:36.000 --> 0:41:38.759
<v Speaker 4>but I just explained basically what happened in a twenty

0:41:38.760 --> 0:41:39.520
<v Speaker 4>four hour period.

0:41:39.960 --> 0:41:41.280
<v Speaker 3>I mean, yeah, it was so fast.

0:41:41.440 --> 0:41:43.680
<v Speaker 10>So he filed this lawsuit earlier this week, and the

0:41:43.719 --> 0:41:47.279
<v Speaker 10>basis of the lawsuit was that this organization caused advertisers

0:41:47.320 --> 0:41:49.320
<v Speaker 10>to flee the platform. Now, part of what the Global

0:41:49.360 --> 0:41:52.520
<v Speaker 10>Alliance Responsible Media does is set guidelines around the type

0:41:52.560 --> 0:41:54.360
<v Speaker 10>of content and ad can pro next to you. So

0:41:54.400 --> 0:41:56.799
<v Speaker 10>you can imagine a big advertiser like an app or

0:41:56.960 --> 0:41:59.920
<v Speaker 10>a Disney wouldn't want their ads next to pro nazi content.

0:42:00.560 --> 0:42:05.200
<v Speaker 10>And so after they, according to Musk, right led to

0:42:05.200 --> 0:42:06.840
<v Speaker 10>this boycott, he got upset.

0:42:06.960 --> 0:42:09.160
<v Speaker 1>He filed this lawsuit, and now they're.

0:42:08.960 --> 0:42:11.160
<v Speaker 10>Dissolving because they don't have the resources to sort of

0:42:11.160 --> 0:42:13.040
<v Speaker 10>fight back. And this is a tactic Musk is done

0:42:13.120 --> 0:42:14.920
<v Speaker 10>over and over again. As you mentioned, right, he did

0:42:14.960 --> 0:42:18.800
<v Speaker 10>this last year with two organizations. One was a research organization,

0:42:18.880 --> 0:42:23.080
<v Speaker 10>another nonprofit because they found harmful content on the site.

0:42:23.160 --> 0:42:25.040
<v Speaker 10>So this is at tackle that he uses when his

0:42:25.120 --> 0:42:26.280
<v Speaker 10>advertising business is threatened.

0:42:26.400 --> 0:42:28.120
<v Speaker 4>Earlier this week on the show, we played some of

0:42:28.160 --> 0:42:30.799
<v Speaker 4>the SoundBite of Lindy Yakarino, the CEO of X, what

0:42:30.920 --> 0:42:32.319
<v Speaker 4>she had to say about it. You can go back

0:42:32.360 --> 0:42:36.440
<v Speaker 4>and watch that episode. You've also been writing about misinformation

0:42:38.200 --> 0:42:41.160
<v Speaker 4>it's important, but it's kind of falling off the priority

0:42:41.200 --> 0:42:44.000
<v Speaker 4>lists in some places. This is your Tech Daily. What

0:42:44.360 --> 0:42:46.200
<v Speaker 4>is it that you're trying to outline here?

0:42:46.760 --> 0:42:48.719
<v Speaker 1>I mean it feels like a shift, right.

0:42:48.719 --> 0:42:50.600
<v Speaker 10>I think this is something that's been happening for years,

0:42:50.640 --> 0:42:53.319
<v Speaker 10>but this moment feels different. I mean, we saw this

0:42:53.400 --> 0:42:56.960
<v Speaker 10>with the warrant between Israel and Hamases. Again we're seeing this,

0:42:57.080 --> 0:43:00.839
<v Speaker 10>of course, as you mentioned around the UK rights misinformation circulating,

0:43:01.160 --> 0:43:03.799
<v Speaker 10>and the problem is the social media platforms may catch it,

0:43:03.840 --> 0:43:06.040
<v Speaker 10>they may label it, they may take it down, but

0:43:06.080 --> 0:43:09.040
<v Speaker 10>by the time they do, there's already millions of views

0:43:09.280 --> 0:43:09.480
<v Speaker 10>on this.

0:43:09.520 --> 0:43:11.200
<v Speaker 3>We well, on the UK riots.

0:43:11.200 --> 0:43:13.480
<v Speaker 4>I've been tracking what's happening in the UK, my home country.

0:43:13.480 --> 0:43:15.920
<v Speaker 4>Of course, it's also who is involved in the sharing

0:43:15.920 --> 0:43:19.000
<v Speaker 4>of that information. So one thing Musk has been caught

0:43:19.080 --> 0:43:23.279
<v Speaker 4>up in is sharing some what appeared to be articles

0:43:23.760 --> 0:43:28.919
<v Speaker 4>about that situation that ended up being not a real

0:43:29.000 --> 0:43:29.720
<v Speaker 4>news article.

0:43:30.400 --> 0:43:31.360
<v Speaker 3>That's one example.

0:43:31.600 --> 0:43:34.520
<v Speaker 10>Yeah, it's a great example. It's a terrifying example. He

0:43:34.640 --> 0:43:38.120
<v Speaker 10>shared a fake article from the Telegraph, and Telegraph later

0:43:38.160 --> 0:43:39.799
<v Speaker 10>came out and said, you know, we never created that,

0:43:39.880 --> 0:43:43.080
<v Speaker 10>but he shared it and it got almost two million views.

0:43:43.120 --> 0:43:44.799
<v Speaker 3>Before he took it down, right, and maybe he did

0:43:44.800 --> 0:43:45.399
<v Speaker 3>take it down.

0:43:45.440 --> 0:43:46.080
<v Speaker 1>He did take it.

0:43:46.040 --> 0:43:46.960
<v Speaker 3>Down, he did well.

0:43:47.000 --> 0:43:49.840
<v Speaker 10>It was deleted by their original creator, I believe, but that.

0:43:49.800 --> 0:43:51.319
<v Speaker 1>Was, you know, within the hour.

0:43:51.440 --> 0:43:54.040
<v Speaker 10>But again, almost two million views by that time, so

0:43:54.120 --> 0:43:55.760
<v Speaker 10>the damage is done in some ways.

0:43:56.160 --> 0:44:00.759
<v Speaker 4>Bloombergsasha counts important reporting. Thank you that for this edition

0:44:00.800 --> 0:44:03.600
<v Speaker 4>of Bloomberg Technology. Just big thanks to everyone in the

0:44:03.640 --> 0:44:07.200
<v Speaker 4>control room in New York, Jackie John Justin, Marguerite Pyle

0:44:07.320 --> 0:44:09.239
<v Speaker 4>here in San Francisco, and all the studio crew.

0:44:09.440 --> 0:44:11.239
<v Speaker 3>Check out the podcast. It's been a big week.

0:44:11.520 --> 0:44:14.279
<v Speaker 4>There's a lot to recap on Apple, Spotify, iHeart, and

0:44:14.440 --> 0:44:17.880
<v Speaker 4>all of the Bloomberg platforms. From San Francisco. This is

0:44:17.960 --> 0:44:19.080
<v Speaker 4>Bloomberg Technology.