WEBVTT - Trump Advances Plans for TikTok US Deal 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and Eva Low in sentences go.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>President Trump advances plans for American investors to buy TikTok's

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<v Speaker 3>US operations, with a potential value of fourteen billion dollars.

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<v Speaker 4>As we discussed the later day I bubble warning, hedge

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<v Speaker 4>fund manager David Einhorn cautions that huge spending on AI

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<v Speaker 4>infrastructure may destroy vast amounts of capital.

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<v Speaker 3>And our conversation with Qualcom CEO and the changing chip

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<v Speaker 3>landscape in the wake of Nvidia's Intel deal, and.

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<v Speaker 4>A lot more, a lot more, including the market look

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<v Speaker 4>over the last five days, we have seen pressure on

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<v Speaker 4>tech stocks more broadly. You're putting in the macro perspective

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<v Speaker 4>of maybe we lean away from just the Federal Reserve

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<v Speaker 4>being the key function tactic here, and indeed we start

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<v Speaker 4>to question valuations more broadly. We're off more than a

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<v Speaker 4>percentage point on the NASDAK not significant moves, the biggest

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<v Speaker 4>drop in the five day basis that we've seen since

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<v Speaker 4>the beginning of August, but still notable in terms of sentiment.

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<v Speaker 4>Where sentiment has really changed is Crypto's strategy were formerly

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<v Speaker 4>known as MicroStrategy, the worst performer on the week, and

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<v Speaker 4>I'm looking at Bitcoin off by five point six percent

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<v Speaker 4>key day for options expiring today, ED, what are you

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<v Speaker 4>looking at?

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<v Speaker 3>Okay, this is a story that's moving tech and moving markets.

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<v Speaker 3>Intel and Global Foundaries are both up significantly. The Wall

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<v Speaker 3>Street journals reporting that the Trump administration is looking at

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<v Speaker 3>a policy where it will require US chip makers on

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<v Speaker 3>a one for one basis to have the equivalent number

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<v Speaker 3>of chips manufactured in the US as they do their

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<v Speaker 3>customers import from overseas. We'll try and match that, but

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<v Speaker 3>it's moving markets. Then there's Oracle, so Oracle on a

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<v Speaker 3>five day basis on track for its biggest weekly drop

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<v Speaker 3>since April. We know more about the structure of a

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<v Speaker 3>deal for US TikTok, the breaking news in the last

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<v Speaker 3>hour Bloomberg reporting citing sources that even in the event

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<v Speaker 3>that this deal is done and completed, China and byte

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<v Speaker 3>Dance will still take more than half the profits from

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<v Speaker 3>US operations of TikTok. Let's get all the details with

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<v Speaker 3>Bloombo's Alex Levine, who covers social media and has been

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<v Speaker 3>all over this story. Let's start with what happened out

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<v Speaker 3>in the White House last night. The President, the Treasury

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<v Speaker 3>Secretary all explaining to us, along with the Vice President

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<v Speaker 3>Alex the structure of this deal, what is new and

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<v Speaker 3>what do we know?

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<v Speaker 5>Well, I think what we know about the deal so

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<v Speaker 5>far is that Oracle is set to play a huge

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<v Speaker 5>role in helping the new US TikTok entity secure user data,

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<v Speaker 5>and also the algorithm that is going to be leased

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<v Speaker 5>from byte Dance for the United States to use and

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<v Speaker 5>retrain using all US user data. What we saw from

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<v Speaker 5>the White House yesterday at the Executive Order signing, there

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<v Speaker 5>was actually not that much new in terms of what

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<v Speaker 5>we know as far as China where China stands on this.

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<v Speaker 5>There are a lot of questions from reporters about what

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<v Speaker 5>sorts of nod or what sorts of approval the Chinese

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<v Speaker 5>president has given to Trump, and it seems that Trump

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<v Speaker 5>has been sending some mixed messaging on exactly where China stands.

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<v Speaker 5>But I do think that one thing that is becoming

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<v Speaker 5>clear is that as we begin to learn more about

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<v Speaker 5>the structure of the deal and what by Dance will

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<v Speaker 5>get from it. There are more and more questions, and

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<v Speaker 5>I think some more scrutiny and even criticism from members

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<v Speaker 5>of Trump's own party over what the eventual what the

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<v Speaker 5>eventual outcome will be.

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<v Speaker 4>I think exactly that the Chinese embassy has made the

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<v Speaker 4>latest statements say the US side needs to provide an

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<v Speaker 4>open fare and non discriminatory environment for Chinese investors.

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<v Speaker 6>So no, yes, go for it.

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<v Speaker 4>You can take this part of TikTok and start reworking

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<v Speaker 4>in the underlying algorithm. For me, the question is is

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<v Speaker 4>Oracle the right person to be overseeing the algorithm changes?

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<v Speaker 4>And more broadly, how on earth are they going to

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<v Speaker 4>separate the US version? And more broadly, what about the

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<v Speaker 4>latest voyce is reporting that we're seeing that maybe byte docetells.

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<v Speaker 6>End up still controlling operations with that in any way

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<v Speaker 6>satisfied national security.

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<v Speaker 5>Issues hit well, I think it depends how you ask

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<v Speaker 5>on this first question that you had, which is is

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<v Speaker 5>Oracle the right partner for this? If you asked the

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<v Speaker 5>Trump administration, you asked the White House. Absolutely, they said

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<v Speaker 5>yesterday that Oracle has been partnering with TikTok for several

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<v Speaker 5>years already on trying to cordon off US user data

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<v Speaker 5>from bye Edance's global operations in China. But I think

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<v Speaker 5>one thing that's very top of mind for me is

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<v Speaker 5>that TikTok and Oracle have been working together on this

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<v Speaker 5>for years, and it has been an imperfect solution. This

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<v Speaker 5>was proposed as a solution to the Biden administration back

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<v Speaker 5>in twenty twenty two, and after years of negotiations with

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<v Speaker 5>a framework that looked almost identical to what we're now

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<v Speaker 5>talking about with TikTok and Oracle today, the Biden administration

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<v Speaker 5>was not comfortable that this would adequately solve national security concerns.

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<v Speaker 5>So you're starting to hear from lawmakers and others in

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<v Speaker 5>across Washington that this might just be a new version

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<v Speaker 5>of that, and if so, that that's just not going.

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<v Speaker 4>To cut it, very similar to Project Texas from your

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<v Speaker 4>own reporting, Alex Lavigne, thanks for breaking that down. Still

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<v Speaker 4>so many questions to answer, but let's just talk about

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<v Speaker 4>the advertising side of all of this. I'm beginning Rachel

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<v Speaker 4>Tipograph found our CEO of analytics platform, Mickmac with all

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<v Speaker 4>these questions remaining about how on Earth the algorithm continues

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<v Speaker 4>and whether we all remain one hundred and seventy million

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<v Speaker 4>US users.

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<v Speaker 6>Using it as much.

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<v Speaker 4>What are advertising decisions being made right now?

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<v Speaker 7>Advertisers in a weight and C mode. Right now, it

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<v Speaker 7>is still commonplace for TikTok, and we're actually seeing all

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<v Speaker 7>time high traffic in September from first twenty percent of

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<v Speaker 7>total traffic from advertisers was allocated to TikTok. If we

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<v Speaker 7>date back to Q one, it was ten percent. So

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<v Speaker 7>people still see TikTok as a place to build brand

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<v Speaker 7>and drive performance all at once. That being said, major

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<v Speaker 7>advertisers have contingency plants. The moment that TikTok America is created,

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<v Speaker 7>I don't think we're going to see traffic at twenty percent.

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<v Speaker 7>These major advertisers are going to wait to see if

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<v Speaker 7>the user base is still there, if the engagement is

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<v Speaker 7>still there, and if the ad performance results are still there.

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<v Speaker 7>If those things are to be true, then absolutely you'll

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<v Speaker 7>see dollars move into TikTok America. But in the meantime,

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<v Speaker 7>you're going to probably see a short term boom to

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<v Speaker 7>environments like meta and alphabet where there are other places

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<v Speaker 7>to invest your short form video ad dollars.

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<v Speaker 4>How is this going to impact efficiencies for brands? Because

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<v Speaker 4>at the moment you can go to one platform and

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<v Speaker 4>have global reach.

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<v Speaker 6>That's going to be really important.

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<v Speaker 4>For some of these global companies if they have to

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<v Speaker 4>silo off a US targeted ad versus global.

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<v Speaker 7>Absolutely, there's a domino effect here. A lot of these

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<v Speaker 7>major advertisers, they have these global joint business plans in

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<v Speaker 7>place where they're guaranteeing ad dollars across multiple geographies. Advertisers

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<v Speaker 7>have major question marks. Are those agreements going to be

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<v Speaker 7>thrown out the window? And then from the actual operating standpoint,

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<v Speaker 7>there has been a single platform to do buying, measurement

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<v Speaker 7>and optimizations. It is unclear now if advertisers are going

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<v Speaker 7>to have to log into multiple platforms and then Carolyn

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<v Speaker 7>Prer point, what are the results going to be? Which

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<v Speaker 7>is why major advertisers they have choices they can go

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<v Speaker 7>invest dollars in other places. It's the sm B businesses

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<v Speaker 7>that have been heavily reliant on an environment like TikTok

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<v Speaker 7>or Amazon where they might go all in, but if

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<v Speaker 7>they don't see those results, I promise you you're going

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<v Speaker 7>to see dollars move out of that environment back into

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<v Speaker 7>places like Meta and Google.

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<v Speaker 2>Rachel.

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<v Speaker 3>What we do know from the reporting is that there

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<v Speaker 3>will be a retraining or even from the ground up

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<v Speaker 3>rebuild of the algorithm. How worried are people in your

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<v Speaker 3>community and your network that that basically removes what makes

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<v Speaker 3>TikTok good for them, that the algorithm is not as

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<v Speaker 3>effective as it currently is when Oracle has been able

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<v Speaker 3>to review it and change it.

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<v Speaker 7>Yeah, it's less about the algorithm, and it's more about

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<v Speaker 7>will user engagement still hold? And will the effectiveness of

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<v Speaker 7>the ads, meaning the cost per impression or the cost

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<v Speaker 7>per click or the cost per sale.

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<v Speaker 8>Will those hold.

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<v Speaker 7>If those things don't hold, you will see dollars move out.

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<v Speaker 7>So the algorithm is a mechanism to make those things true.

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<v Speaker 7>But what advertisers are really concerned about is results.

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<v Speaker 3>What Bloomberg has reported is that byte Dance is still

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<v Speaker 3>going to get fifty percent of the profits from a

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<v Speaker 3>US TikTok, and that MGX, a state backed investment vehicle

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<v Speaker 3>of UAE, is one of the anchor investors. If you're

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<v Speaker 3>a content creator on TikTok, or you're an advertiser on TikTok,

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<v Speaker 3>do you care about either of those considerations.

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<v Speaker 7>If you're an advertiser in TikTok and you're a global brand.

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<v Speaker 7>I'm talking Fortune one thousand brands. You care about two things.

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<v Speaker 7>You care about performance, but then you also care about

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<v Speaker 7>brand safety. And so if they don't feel that their

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<v Speaker 7>concerns are being addressed by this new ownership structure around

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<v Speaker 7>brand safety, then yes they will care. If they believe

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<v Speaker 7>it's being addressed, then it's irrelevant to that creators. Creators

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<v Speaker 7>care more about the culture and the community. Will the

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<v Speaker 7>community still stay in TikTok? Will the vibe still be

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<v Speaker 7>the same? They don't really care about the ownership structure

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<v Speaker 7>as long as the community engagement is there.

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<v Speaker 4>Let's talk about a name that you said that maybe

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<v Speaker 4>you will be benefiting amid all of this, and is

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<v Speaker 4>meta and the move to Instagram in this moment by

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<v Speaker 4>advertising dollars. But what's happening in Europe at the moment

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<v Speaker 4>is interesting with meta as well and the UK and

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<v Speaker 4>being forced to basically add a subscription offer rather than

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<v Speaker 4>offering just advertising. How advertisers looking at that, how much

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<v Speaker 4>do they anticipate people will go for an ad free

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<v Speaker 4>version of Instagram.

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<v Speaker 7>I love what's happening right now because we can look

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<v Speaker 7>at mcmac's data globally, we do operate globally, and it's

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<v Speaker 7>really interesting. The laws that are taking place in the

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<v Speaker 7>EU and UK when it comes to advertising is way

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<v Speaker 7>more stricter than the US, and as a result, platforms

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<v Speaker 7>like Meta have struggled in recent years in those environments.

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<v Speaker 7>In twenty twenty three, Meta had to introduce the same

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<v Speaker 7>ad free tier in the EU, and there's been no

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<v Speaker 7>public data whether users have adopted that or not. The

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<v Speaker 7>only thing that we've seen happen is that the price

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<v Speaker 7>per tier come down, which is a signal that maybe

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<v Speaker 7>adoption was initially there. Fast forward, the UK government is

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<v Speaker 7>adopting very similar rules as the EU, where they're putting

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<v Speaker 7>very strict guardrails in place and how platforms can target

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<v Speaker 7>users and essentially you have to opt in one hundred

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<v Speaker 7>percent and if you don't opt in one hundred percent,

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<v Speaker 7>then you have to pay for an ad free tier.

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<v Speaker 7>What's interesting is that right now in the UK, seventy

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<v Speaker 7>five percent of ad investment is happening in Meta. Meanwhile

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<v Speaker 7>in the EU it's closer to thirty six percent, which

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<v Speaker 7>is another signal that if this happens in the UK,

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<v Speaker 7>you're going to start to see ad diversification outside of

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<v Speaker 7>Meta into other platforms. So it's actually the reverse of

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<v Speaker 7>what's happening in the US.

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<v Speaker 8>In the US.

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<v Speaker 7>Opportunity for Meta to grab market share. In the UK,

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<v Speaker 7>they might actually lose market share right.

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<v Speaker 3>Now, Nick mag Ceo, Rachel Tippograph back on Bloomberg Tech,

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<v Speaker 3>Back and forth.

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<v Speaker 2>Great to have you on the show. A story we're tracking.

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<v Speaker 3>Jaomi unveiled a smartphone designed to take on the just

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<v Speaker 3>released iPhone seventeen, underscoring the Chinese company's broader ambitions to

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<v Speaker 3>take on US rivals from Apple to Tesla. The Jaomi seventeen,

0:12:20.160 --> 0:12:22.480
<v Speaker 3>which will be offered in Pro and Promax models just

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<v Speaker 3>like Apple's Marque series, starts at six hundred and thirty

0:12:25.520 --> 0:12:28.200
<v Speaker 3>dollars for the most basic model and rising to about

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<v Speaker 3>eight hundred and forty dollars at the top end, more

0:12:30.480 --> 0:12:34.000
<v Speaker 3>than one hundred dollars cheaper than the base iPhone seventeen.

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<v Speaker 4>Carol, Let's go back to AI now, because coming up

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<v Speaker 4>computing powerhousers that are feeding the AI boom, they're seeing

0:12:41.760 --> 0:12:42.840
<v Speaker 4>explosive growth of their own.

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<v Speaker 6>How will this compute market evolve? One of that next

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<v Speaker 6>This is a Boomberg Tech.

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<v Speaker 3>The AI revolution is fueling explosive growth for companies selling

0:12:59.520 --> 0:13:03.680
<v Speaker 3>computer power. Call Weave, despite forecasting losses this year, is

0:13:03.760 --> 0:13:06.400
<v Speaker 3>valued at over fifty billion dollars, while Oracle's added two

0:13:06.480 --> 0:13:09.520
<v Speaker 3>hundred and fifty billion so its market cap. That surge

0:13:09.840 --> 0:13:13.480
<v Speaker 3>is subject of this weekend's essay by Bloomberg Ideas and

0:13:13.520 --> 0:13:16.280
<v Speaker 3>Culture senior writer Felix Salmon, who joins US now. I

0:13:16.280 --> 0:13:18.880
<v Speaker 3>spoke to the core Weave CEO last night and I

0:13:18.960 --> 0:13:21.400
<v Speaker 3>basically put to him that all of the people in

0:13:21.440 --> 0:13:25.800
<v Speaker 3>this ecosystem are writing checks they can't cash. The demand

0:13:25.880 --> 0:13:29.360
<v Speaker 3>is there, but their ability to pay for it. The

0:13:29.400 --> 0:13:31.560
<v Speaker 3>infrastructure needs to be built, maybe it's not. And you

0:13:31.600 --> 0:13:34.920
<v Speaker 3>make a really smart case on just how wide some

0:13:34.960 --> 0:13:38.320
<v Speaker 3>of the losses are with all the spending as as

0:13:38.400 --> 0:13:40.559
<v Speaker 3>much as they have momentum in what they're doing.

0:13:40.880 --> 0:13:44.360
<v Speaker 9>And what that in financial terms is called is counterparty risk.

0:13:44.440 --> 0:13:47.200
<v Speaker 9>That if you are selling, if you're building data centers,

0:13:47.320 --> 0:13:51.439
<v Speaker 9>and you're expecting trillions of dollars of demand, then what

0:13:51.480 --> 0:13:55.040
<v Speaker 9>you're worried about is that the people who are contracting

0:13:55.040 --> 0:13:57.280
<v Speaker 9>to pay, like you know, Open the Eye has said

0:13:57.280 --> 0:14:00.000
<v Speaker 9>that it's going to pay Ora called three hundred billion dollar,

0:14:00.720 --> 0:14:03.920
<v Speaker 9>that they just won't have that money because they're losing money,

0:14:04.000 --> 0:14:05.920
<v Speaker 9>and where are they going to be able to find it?

0:14:06.000 --> 0:14:08.720
<v Speaker 9>You know, in video can't just throw billions of dollars

0:14:08.760 --> 0:14:12.600
<v Speaker 9>at them forever. And so the big question then comes,

0:14:12.640 --> 0:14:14.600
<v Speaker 9>how are they going to be able to hedge that

0:14:14.800 --> 0:14:18.600
<v Speaker 9>counterparty risk? And the answer to that question is what

0:14:18.800 --> 0:14:22.920
<v Speaker 9>if compute is actually traded as a commodity on markets

0:14:23.400 --> 0:14:26.840
<v Speaker 9>on exchanges. That solves a huge number of problems.

0:14:27.200 --> 0:14:31.239
<v Speaker 4>And people are already walking that line and already building

0:14:31.480 --> 0:14:34.000
<v Speaker 4>that offering. It seems like Felix push us forward as

0:14:34.040 --> 0:14:36.360
<v Speaker 4>to how we could get what you call really these

0:14:37.160 --> 0:14:38.760
<v Speaker 4>combinatorial auctions.

0:14:39.160 --> 0:14:43.320
<v Speaker 9>Combinator yeah, is something called the Milgram assignment auction. And

0:14:44.080 --> 0:14:46.560
<v Speaker 9>all markets are auctions, right. If you think about the

0:14:46.560 --> 0:14:50.560
<v Speaker 9>stock market, people are bidding every microsecond for how much

0:14:50.560 --> 0:14:54.120
<v Speaker 9>they're willing to bid and offer on various stocks. And

0:14:54.120 --> 0:14:56.600
<v Speaker 9>that's a very simple auction. It's just like there's one

0:14:56.920 --> 0:14:59.200
<v Speaker 9>object and you can have a single price of that object.

0:14:59.200 --> 0:15:03.320
<v Speaker 9>It's the share of stock. Other auctions, other commodities have

0:15:03.440 --> 0:15:06.160
<v Speaker 9>more complicated things, like in the oil market, you have

0:15:06.240 --> 0:15:09.000
<v Speaker 9>to invent these standards like ren crude or West Texas

0:15:09.040 --> 0:15:11.760
<v Speaker 9>Intermedia that people can sort of agree on. When you're

0:15:11.800 --> 0:15:15.080
<v Speaker 9>talking about something as complicated as compute, where there are

0:15:15.400 --> 0:15:18.680
<v Speaker 9>hundreds of different variables that people care about, what chips

0:15:18.720 --> 0:15:22.720
<v Speaker 9>you have, how much uptime there is, what time of

0:15:22.800 --> 0:15:25.200
<v Speaker 9>day you're using, all of this kind of stuff. Then

0:15:25.280 --> 0:15:29.200
<v Speaker 9>you need a very sophisticated auction that is powered itself

0:15:29.320 --> 0:15:33.280
<v Speaker 9>by AI. But we have these companies one Kronos and

0:15:33.360 --> 0:15:36.120
<v Speaker 9>Autonomics that are actually building that right now, and really

0:15:36.280 --> 0:15:38.720
<v Speaker 9>it's super necessary. Without it, we aren't going to be

0:15:38.720 --> 0:15:41.520
<v Speaker 9>able to see the level of investment that people are

0:15:41.920 --> 0:15:42.760
<v Speaker 9>sure is coming.

0:15:43.080 --> 0:15:45.400
<v Speaker 4>Food for thought, and that's exactly what job description is.

0:15:45.400 --> 0:15:48.560
<v Speaker 4>Felix Salmon is a great really go dive into it

0:15:48.600 --> 0:15:51.560
<v Speaker 4>this weekend. But for more on AI and the questioning

0:15:51.600 --> 0:15:55.520
<v Speaker 4>of valuations around AI as well, let's talk to Stephanie Aliaga.

0:15:55.680 --> 0:15:58.400
<v Speaker 6>She's global market strategist at JP Morgan. No, we just

0:15:58.440 --> 0:16:01.800
<v Speaker 6>have the latest David Einhorn coming out saying I'm.

0:16:01.680 --> 0:16:05.120
<v Speaker 4>Worried about the shaft scale of AI infrastructure investment to

0:16:05.200 --> 0:16:07.880
<v Speaker 4>the moment that billions is going to be lost in

0:16:07.960 --> 0:16:08.680
<v Speaker 4>terms of capital.

0:16:09.080 --> 0:16:11.640
<v Speaker 6>What are you thinking of these warnings around a bubble.

0:16:11.800 --> 0:16:16.400
<v Speaker 10>Yeah, it's clear we're seeing explosive demand demand growth that

0:16:16.440 --> 0:16:19.440
<v Speaker 10>we've really never seen before. That doesn't mean it's not real,

0:16:19.760 --> 0:16:22.360
<v Speaker 10>but it does mean that we should continue to really

0:16:22.600 --> 0:16:25.560
<v Speaker 10>look at these valuations and perform these sanity checks.

0:16:25.920 --> 0:16:26.800
<v Speaker 6>And what gives me.

0:16:26.760 --> 0:16:30.200
<v Speaker 10>Some confidence when I'm performing my sanity check is that

0:16:30.480 --> 0:16:35.040
<v Speaker 10>this infrastructure wave, as significant as it is, is powered

0:16:35.040 --> 0:16:37.520
<v Speaker 10>by real demand growth that is already showing up in

0:16:37.560 --> 0:16:40.360
<v Speaker 10>the numbers. It's funded by real cash flows, and even

0:16:40.400 --> 0:16:43.400
<v Speaker 10>after all of this enormous spending the four major hyperscalers,

0:16:43.400 --> 0:16:46.480
<v Speaker 10>they're still free cash flow positive, and so there's a

0:16:46.480 --> 0:16:50.360
<v Speaker 10>lot of demand, and still the supply constraint on infrastructure

0:16:50.440 --> 0:16:54.120
<v Speaker 10>is there. So there's no house of cards underneath this

0:16:54.200 --> 0:16:58.600
<v Speaker 10>AI infrastructure wave, I'd say. But still I think the

0:16:58.680 --> 0:17:01.320
<v Speaker 10>AI theme is it's a lot term. One deep seek

0:17:01.440 --> 0:17:03.440
<v Speaker 10>was one upset that we had earlier this year. There

0:17:03.440 --> 0:17:05.760
<v Speaker 10>will surely be others, and right now we're in this

0:17:05.840 --> 0:17:08.199
<v Speaker 10>kind of period of digestion. But I think we're just

0:17:08.240 --> 0:17:11.119
<v Speaker 10>waiting for that next piece of like bullish commentary and data,

0:17:11.480 --> 0:17:14.200
<v Speaker 10>and then we're going to appreciate the fundamentals once more.

0:17:15.400 --> 0:17:18.160
<v Speaker 3>Stephanie, every phone call I get at the moment about

0:17:18.200 --> 0:17:23.640
<v Speaker 3>specific infrastructure deal there's an element of debt involved. How

0:17:23.680 --> 0:17:26.920
<v Speaker 3>closely are you tracking that and are you worried about it?

0:17:27.720 --> 0:17:31.680
<v Speaker 10>So the infrastructure spending boom is beyond just those four

0:17:31.720 --> 0:17:34.560
<v Speaker 10>major hyperscalers right that fifth in line, as you know,

0:17:34.680 --> 0:17:36.200
<v Speaker 10>came out with a bond deal this week.

0:17:36.400 --> 0:17:37.040
<v Speaker 2>So we are.

0:17:36.920 --> 0:17:38.880
<v Speaker 10>Seeing that AI is going to cost a lot of money,

0:17:38.920 --> 0:17:41.359
<v Speaker 10>and you know, the debt markets are coming in to

0:17:41.400 --> 0:17:44.399
<v Speaker 10>help fund some of those gaps and spending. I'm not

0:17:44.920 --> 0:17:48.360
<v Speaker 10>incredibly worried about that just yet. I mean, the bargain

0:17:48.400 --> 0:17:51.200
<v Speaker 10>that bond investors are making is that there will ultimately

0:17:51.200 --> 0:17:54.320
<v Speaker 10>be enough revenue generated from this to pay back the bonds.

0:17:54.600 --> 0:17:57.600
<v Speaker 10>That's maybe a more conservative bet than what equity markets

0:17:57.640 --> 0:18:00.720
<v Speaker 10>are making by putting more money into these lead megacaps

0:18:00.720 --> 0:18:05.439
<v Speaker 10>that already have sky high valuations. But more broadly, I

0:18:05.440 --> 0:18:08.240
<v Speaker 10>think it just shows that, you know, this infrastructure wave

0:18:08.359 --> 0:18:12.120
<v Speaker 10>has a lot of urgency behind it, and it's beginning

0:18:12.160 --> 0:18:15.760
<v Speaker 10>to touch many other corners of the market. The corporate

0:18:15.760 --> 0:18:18.160
<v Speaker 10>bond market is one of them, but we're also seeing

0:18:18.160 --> 0:18:21.119
<v Speaker 10>it in utilities and infrastructure and public and private and

0:18:21.119 --> 0:18:21.639
<v Speaker 10>so forth.

0:18:22.000 --> 0:18:24.800
<v Speaker 4>I mean, a forty year bond with what was it

0:18:24.920 --> 0:18:27.280
<v Speaker 4>ended up a yield of just about one point sixty

0:18:27.280 --> 0:18:28.200
<v Speaker 4>five percentage points.

0:18:28.200 --> 0:18:30.520
<v Speaker 6>So for treasuries feels.

0:18:30.280 --> 0:18:32.399
<v Speaker 4>Like, I mean, relatively little to have to pay for

0:18:32.440 --> 0:18:34.879
<v Speaker 4>the price of that longer term debt, but there is belief.

0:18:34.920 --> 0:18:36.520
<v Speaker 6>I want to go back to the comment you made,

0:18:36.600 --> 0:18:38.520
<v Speaker 6>this isn't a house of cards. How do you feel

0:18:38.560 --> 0:18:39.280
<v Speaker 6>though about some of.

0:18:39.240 --> 0:18:41.680
<v Speaker 4>The circularity arguments that are going on that basically it's

0:18:41.680 --> 0:18:44.200
<v Speaker 4>the same people are buying, basically giving money in equity

0:18:44.400 --> 0:18:46.080
<v Speaker 4>for promise of buying their GPUs later.

0:18:46.160 --> 0:18:50.240
<v Speaker 10>Absolutely, markets have been rewarding large capital spending commitments, and

0:18:50.280 --> 0:18:53.520
<v Speaker 10>we should not be rewarding redundant capital spending commitments. And

0:18:53.560 --> 0:18:56.639
<v Speaker 10>I think that is one of the I guess the

0:18:56.640 --> 0:18:58.560
<v Speaker 10>sanity checks that we've all performed this week is okay.

0:18:58.560 --> 0:19:00.520
<v Speaker 10>It seems like capital slashing from one balance sheet to

0:19:00.600 --> 0:19:02.720
<v Speaker 10>another balance sheet. But a lot of the comparisons that

0:19:02.760 --> 0:19:05.040
<v Speaker 10>are being made to the dot com bubble of companies

0:19:05.119 --> 0:19:07.920
<v Speaker 10>selling bannerats to one another trying to juice up their valuations.

0:19:08.240 --> 0:19:10.720
<v Speaker 10>What's different this time around is the spending is grounded

0:19:10.800 --> 0:19:14.679
<v Speaker 10>in real infrastructure, real chip spending, real data centers, and

0:19:14.760 --> 0:19:17.000
<v Speaker 10>so that gives me a bit more confidence on that.

0:19:17.040 --> 0:19:20.360
<v Speaker 10>But we know absolutely should not be rewarding companies for

0:19:20.760 --> 0:19:22.480
<v Speaker 10>redundant capital spending commitments.

0:19:22.640 --> 0:19:25.919
<v Speaker 3>Stephanie, really quick, can the global energy sector.

0:19:27.119 --> 0:19:28.399
<v Speaker 2>Meet the demand?

0:19:29.320 --> 0:19:31.920
<v Speaker 10>That's the million dollar question, right, billion trillion dollar question.

0:19:31.960 --> 0:19:35.760
<v Speaker 10>I guess The reality is it's going to take all

0:19:35.800 --> 0:19:38.560
<v Speaker 10>hands on deck. And while a lot of data center

0:19:38.640 --> 0:19:42.160
<v Speaker 10>power commitments have been made in fact this year enough

0:19:42.200 --> 0:19:46.200
<v Speaker 10>to power New York, Chicago and LA for a year.

0:19:46.400 --> 0:19:49.359
<v Speaker 10>That's the degree of power commitments that have been made.

0:19:49.800 --> 0:19:52.280
<v Speaker 10>A lot of that's in the pipeline. The reality is

0:19:52.440 --> 0:19:57.439
<v Speaker 10>we are confronting in very aged infrastructure grid. It's going

0:19:57.480 --> 0:19:59.920
<v Speaker 10>to take time until the twenty thirties at minimum, until

0:20:00.040 --> 0:20:02.919
<v Speaker 10>nuclear power, even new natural gas power is going to

0:20:02.920 --> 0:20:05.440
<v Speaker 10>be there. In the meantime, there's hope that we can

0:20:05.480 --> 0:20:08.720
<v Speaker 10>get a lot more efficient and that the demand is

0:20:08.960 --> 0:20:11.920
<v Speaker 10>it's tracking up, but it's also tracking up gradually, right,

0:20:12.040 --> 0:20:15.040
<v Speaker 10>so we're not too worried about that real I think

0:20:15.240 --> 0:20:19.000
<v Speaker 10>bottleneck moment happening, it seems a few years into the future.

0:20:19.320 --> 0:20:21.760
<v Speaker 10>Until then maybe we see more efficiency gains or the

0:20:21.800 --> 0:20:24.159
<v Speaker 10>costs of compute have come down ninety eight percent already.

0:20:24.920 --> 0:20:28.639
<v Speaker 3>Stephaniely Aliaga, global market strategist at JP Morgan Asset Management,

0:20:28.760 --> 0:20:31.360
<v Speaker 3>thank you very much. Now coming up, Bloomberg Tech Asias

0:20:31.400 --> 0:20:34.479
<v Speaker 3>sat down with Holton Nu from bay Too Apollo, China's

0:20:34.560 --> 0:20:37.679
<v Speaker 3>biggest robotaxi operator at conversations.

0:20:37.720 --> 0:20:39.359
<v Speaker 2>The next this is Blenberg.

0:20:39.000 --> 0:20:49.119
<v Speaker 4>Tech the race that bring driverist taxis to the world.

0:20:49.200 --> 0:20:51.320
<v Speaker 4>It is on and while the likes of Weimo have

0:20:51.359 --> 0:20:56.399
<v Speaker 4>focused on establishing domestic strongholds, Chinese companies are aggressively expanding internationally.

0:20:56.760 --> 0:20:59.520
<v Speaker 4>Here is by do Apollos, Global manager of overseas Business.

0:21:00.040 --> 0:21:02.800
<v Speaker 4>You speaking with Blumberg Tech Asia, Aldreders.

0:21:03.880 --> 0:21:07.879
<v Speaker 11>I think both Waymo and Bido Apollo, we are the

0:21:07.920 --> 0:21:12.560
<v Speaker 11>only two companies who provide over one thousand cars in

0:21:12.640 --> 0:21:13.440
<v Speaker 11>all the cities.

0:21:13.600 --> 0:21:16.959
<v Speaker 12>What does your expansion plan and your and your scale

0:21:17.040 --> 0:21:17.600
<v Speaker 12>up look like.

0:21:18.320 --> 0:21:21.960
<v Speaker 11>We have already signed several legally binding contract with different

0:21:22.040 --> 0:21:28.119
<v Speaker 11>partners globally. Any single one of them is regarding one

0:21:28.160 --> 0:21:32.320
<v Speaker 11>thousands level of robotaxis deployment. I believe once we remove

0:21:32.359 --> 0:21:35.240
<v Speaker 11>the safety driver from the car, you know, the numbers

0:21:35.280 --> 0:21:40.719
<v Speaker 11>of deployment can can raise gigantically right, since what we

0:21:40.760 --> 0:21:44.600
<v Speaker 11>are aiming for is uh is the real AUTI of

0:21:44.600 --> 0:21:46.120
<v Speaker 11>striving is without safety driver.

0:21:46.400 --> 0:21:49.399
<v Speaker 12>With working with us companies Uber and Lyft. Do you

0:21:49.440 --> 0:21:54.639
<v Speaker 12>see any risk of geopolitics coming into the equation as well?

0:21:54.960 --> 0:22:00.359
<v Speaker 11>From bidose perspective, we think both China and the US

0:22:00.640 --> 0:22:05.000
<v Speaker 11>have enough ability and wisdom to overcome such kind of

0:22:05.440 --> 0:22:11.000
<v Speaker 11>geopolitical problems or difficulties. So we believe since we are

0:22:11.240 --> 0:22:17.320
<v Speaker 11>also commniests working for for new technology, also for profit

0:22:17.800 --> 0:22:20.800
<v Speaker 11>for profile, generating profits for for both companies, so I

0:22:21.040 --> 0:22:23.320
<v Speaker 11>think we're yeah, everything will be good in the end.

0:22:25.200 --> 0:22:27.879
<v Speaker 3>That was by do Apollos Holton New along with our

0:22:27.920 --> 0:22:31.119
<v Speaker 3>own Annabel Drulers. Check out the full episode of Bloomberg

0:22:31.200 --> 0:22:34.480
<v Speaker 3>Tech Asia online or on the Bloomberg terminal. A lot

0:22:34.480 --> 0:22:36.520
<v Speaker 3>of stories coming out of the region now coming up.

0:22:37.080 --> 0:22:40.720
<v Speaker 3>More on TikTok as President Trump advances plans for US

0:22:40.720 --> 0:22:44.320
<v Speaker 3>investors to buy the social media platform in the US.

0:22:44.840 --> 0:23:01.360
<v Speaker 3>About that story. Next, This is Bloomberg Tech. Welcome back

0:23:01.440 --> 0:23:04.760
<v Speaker 3>to Bloomberg Tech Cara. I'm sounding the tech ipo watch

0:23:05.080 --> 0:23:09.120
<v Speaker 3>Clackson the alarm, and the name I'm looking at is Klana.

0:23:09.160 --> 0:23:11.480
<v Speaker 3>Down almost six percent in the session. But the reason

0:23:11.480 --> 0:23:14.760
<v Speaker 3>that's notable is the shares trading at thirty nine dollars

0:23:14.920 --> 0:23:18.760
<v Speaker 3>nine cents a share, meaning they are down below the

0:23:18.960 --> 0:23:22.760
<v Speaker 3>forty dollars IPO price pretty quickly as well. Like think

0:23:22.800 --> 0:23:24.439
<v Speaker 3>of all the other IBOs you and I've covered in

0:23:24.480 --> 0:23:26.520
<v Speaker 3>recent weeks and months, and some of them had a

0:23:26.600 --> 0:23:29.840
<v Speaker 3>lot of long term momentum. This feels like a pretty

0:23:29.920 --> 0:23:33.159
<v Speaker 3>quick drop back, and there is a broader sell off

0:23:33.280 --> 0:23:36.160
<v Speaker 3>in fintech right now. But it's one to watch this Friday.

0:23:36.200 --> 0:23:38.159
<v Speaker 3>Sorry to bring the mood down, but it's a it's

0:23:38.200 --> 0:23:40.280
<v Speaker 3>a notable moment.

0:23:40.560 --> 0:23:43.199
<v Speaker 2>Oracle. Sorry, I've just got carried away. I'm having a

0:23:43.200 --> 0:23:43.600
<v Speaker 2>good time.

0:23:44.000 --> 0:23:46.560
<v Speaker 3>Oracle over the course of five days is down almost

0:23:46.600 --> 0:23:50.880
<v Speaker 3>eight percent, also bearing in mind broader momentum that it's

0:23:50.880 --> 0:23:53.280
<v Speaker 3>had in recent weeks, right, But to kind of sell

0:23:53.320 --> 0:23:55.320
<v Speaker 3>the news week where we got a lot more detail

0:23:55.320 --> 0:23:58.719
<v Speaker 3>on its participation in US TikTok and how it's going

0:23:58.760 --> 0:24:02.600
<v Speaker 3>to operationally and to anchor, investor and board seat member

0:24:02.800 --> 0:24:06.160
<v Speaker 3>run things. But that's five day drop, biggest in April.

0:24:06.440 --> 0:24:07.240
<v Speaker 3>Please take it away.

0:24:07.600 --> 0:24:11.879
<v Speaker 4>I will, because yes, Oracles run far higher in recent months,

0:24:11.920 --> 0:24:13.800
<v Speaker 4>and no ononder there's been a profit taking. But we

0:24:13.840 --> 0:24:16.959
<v Speaker 4>aren't going to drill into Oracle into potential TikTok investment

0:24:17.040 --> 0:24:18.960
<v Speaker 4>and the role that it plays with Bluemost brody Ford

0:24:18.960 --> 0:24:21.480
<v Speaker 4>who covers the company. And there is a great opinion

0:24:21.520 --> 0:24:24.440
<v Speaker 4>piece out of our colleague Davely who really puts out

0:24:24.480 --> 0:24:28.119
<v Speaker 4>really the question of what expertise does Oracle, a cloud

0:24:28.119 --> 0:24:32.640
<v Speaker 4>company have when it comes to social media algorithms, brody.

0:24:33.920 --> 0:24:37.399
<v Speaker 13>Not a whole lot. I think the UL maybe they

0:24:37.440 --> 0:24:39.359
<v Speaker 13>a would tell you as much as well. I think

0:24:39.400 --> 0:24:43.679
<v Speaker 13>it's very interesting how much rhetorical value the administration has

0:24:43.760 --> 0:24:48.840
<v Speaker 13>placed on Oracle's involvement. They are the kind of technological

0:24:49.000 --> 0:24:51.879
<v Speaker 13>underpinning of a lot of the operations, but they're the

0:24:51.880 --> 0:24:54.480
<v Speaker 13>cloud vendor, right, I mean, they are not an algorithm

0:24:54.520 --> 0:24:58.320
<v Speaker 13>designing company. They're not a business operations social media. They're

0:24:58.320 --> 0:25:02.680
<v Speaker 13>not a consumer company period, right. And so as Oracle

0:25:02.760 --> 0:25:06.640
<v Speaker 13>takes a very large role on the stage of how

0:25:06.640 --> 0:25:10.440
<v Speaker 13>this TikTok deal is rolled out, my anticipation is that

0:25:10.600 --> 0:25:12.800
<v Speaker 13>their role doesn't change a whole lot from what it

0:25:12.880 --> 0:25:15.919
<v Speaker 13>is today, which is a cloud infrastructure vendor.

0:25:17.000 --> 0:25:18.480
<v Speaker 3>Brady, you and I have spent a lot of the

0:25:18.560 --> 0:25:21.320
<v Speaker 3>last thirty six hours on the phone trying to work

0:25:21.359 --> 0:25:24.879
<v Speaker 3>this out, so let's swap notes. My understanding is that

0:25:24.880 --> 0:25:30.200
<v Speaker 3>the Trump administration went to MGX which is a basically

0:25:30.280 --> 0:25:33.680
<v Speaker 3>state backed investment firm in the UAE, and invited them

0:25:33.720 --> 0:25:38.080
<v Speaker 3>to participate. You also have some details on these kind

0:25:38.119 --> 0:25:40.880
<v Speaker 3>of anchor investors and what role they'll take.

0:25:41.000 --> 0:25:43.880
<v Speaker 2>Just give us your notes please, right.

0:25:43.960 --> 0:25:47.439
<v Speaker 13>So, these three anchor investors will likely get about a

0:25:47.520 --> 0:25:51.719
<v Speaker 13>fifteen percent share each and a board seat. The exact

0:25:51.800 --> 0:25:54.200
<v Speaker 13>numbers may shift around with the idea is that these

0:25:54.240 --> 0:25:58.560
<v Speaker 13>are the kind of three anchor non Chinese investors, kind

0:25:58.560 --> 0:26:02.520
<v Speaker 13>of each coming from somewhat different backgrounds Oracle. We've discussed

0:26:02.680 --> 0:26:06.119
<v Speaker 13>MGX being an Amorati investment company than Silver Like being

0:26:06.160 --> 0:26:09.960
<v Speaker 13>a US tech focused investment company, and so I think

0:26:09.960 --> 0:26:12.520
<v Speaker 13>the idea is showing that, hey, there's a breadth of

0:26:12.600 --> 0:26:17.280
<v Speaker 13>folks behind this initiative. Though of course the reporting is

0:26:17.400 --> 0:26:20.680
<v Speaker 13>very live in terms of exactly what these three companies

0:26:20.720 --> 0:26:22.080
<v Speaker 13>are going to be buying.

0:26:23.600 --> 0:26:25.880
<v Speaker 3>The most brady Ford busy week. Forew a lot more

0:26:25.880 --> 0:26:28.879
<v Speaker 3>reportings come, Thank you very much. Let's bring in Teresa Payton.

0:26:28.960 --> 0:26:31.679
<v Speaker 3>She's the CEO of Foota List Solutions and the former

0:26:31.720 --> 0:26:35.639
<v Speaker 3>White House Chief Information Officer under George W. Bush administration.

0:26:36.480 --> 0:26:38.280
<v Speaker 3>If we may, I want to go to the UAE

0:26:38.320 --> 0:26:41.439
<v Speaker 3>piece of this first, because you know, the emphasis from

0:26:41.480 --> 0:26:46.280
<v Speaker 3>the administration was making US TikTok American. The UAE is

0:26:46.320 --> 0:26:50.560
<v Speaker 3>an ally of the United States in defense, for example.

0:26:50.640 --> 0:26:53.199
<v Speaker 3>You know there is weapons and other agreements there. But

0:26:53.320 --> 0:26:56.439
<v Speaker 3>in the context of something that is digital, what do

0:26:56.520 --> 0:27:00.640
<v Speaker 3>you make of MGX participating as an anger for investor

0:27:00.680 --> 0:27:03.600
<v Speaker 3>and potential board seat holder of a US TikTok.

0:27:05.440 --> 0:27:06.720
<v Speaker 8>Well, I think it's very interesting.

0:27:06.760 --> 0:27:09.520
<v Speaker 14>Obviously they have deep enough pockets to be a part

0:27:09.560 --> 0:27:12.560
<v Speaker 14>of this, which is kind of part of the deal negotiation.

0:27:13.280 --> 0:27:16.560
<v Speaker 14>But I to have some open questions because there's some

0:27:16.600 --> 0:27:20.080
<v Speaker 14>open questions about how they feel about social media for

0:27:20.119 --> 0:27:23.640
<v Speaker 14>their own citizens. And so now we're talking about we're

0:27:23.640 --> 0:27:27.280
<v Speaker 14>going to have some type of a twin algorithm, because

0:27:27.280 --> 0:27:29.199
<v Speaker 14>by Dance is still going to have the algorithm, but

0:27:29.240 --> 0:27:31.000
<v Speaker 14>we're going to have it here in the United States

0:27:31.000 --> 0:27:32.680
<v Speaker 14>and we're going to be retraining.

0:27:32.200 --> 0:27:33.280
<v Speaker 8>It on US data.

0:27:33.840 --> 0:27:36.359
<v Speaker 14>And so I've got a lot of questions around that

0:27:36.480 --> 0:27:39.120
<v Speaker 14>board seat and what kind of voting rights, what kind

0:27:39.119 --> 0:27:42.840
<v Speaker 14>of direction, what kind of influence they may have over

0:27:42.880 --> 0:27:45.520
<v Speaker 14>this sort of digital twin of an algorithm we're going

0:27:45.560 --> 0:27:48.480
<v Speaker 14>to have the US and how that retraining's going to happen.

0:27:49.560 --> 0:27:53.120
<v Speaker 3>Okay, from a pure technology standpoint, how do you think

0:27:53.200 --> 0:27:56.840
<v Speaker 3>this is going to work read the algorithm or.

0:27:56.880 --> 0:27:58.040
<v Speaker 2>Is it going to work at all?

0:28:00.480 --> 0:28:04.040
<v Speaker 14>Well, hopefully they've got some really great engineers working on this,

0:28:04.200 --> 0:28:07.639
<v Speaker 14>so whenever you kind of go into this mode of

0:28:07.720 --> 0:28:09.600
<v Speaker 14>there's going to be a master copy and then we're

0:28:09.600 --> 0:28:12.960
<v Speaker 14>going to have our own local, regional copy, but it's

0:28:12.960 --> 0:28:14.919
<v Speaker 14>going to be essentially the same, except for it's not

0:28:15.119 --> 0:28:17.159
<v Speaker 14>we're going to be training it on us data. I

0:28:17.240 --> 0:28:19.480
<v Speaker 14>end up having a lot of questions like what's the

0:28:19.560 --> 0:28:20.760
<v Speaker 14>quality assurance for this?

0:28:21.720 --> 0:28:23.840
<v Speaker 8>Will it still feel and look the same?

0:28:23.920 --> 0:28:27.640
<v Speaker 14>I mean, TikTok may lose it's hip and cool factor

0:28:28.520 --> 0:28:30.840
<v Speaker 14>once we take sort of the global piece out of

0:28:30.840 --> 0:28:32.640
<v Speaker 14>it and start.

0:28:32.440 --> 0:28:33.159
<v Speaker 8>To run at locally.

0:28:33.240 --> 0:28:35.840
<v Speaker 14>So it'll be very interesting to see what the knowledge

0:28:35.880 --> 0:28:39.440
<v Speaker 14>transfer will be. I know, as part of Project Dallas,

0:28:39.560 --> 0:28:43.360
<v Speaker 14>TikTok Usa has been doing a lot of work to

0:28:43.640 --> 0:28:47.360
<v Speaker 14>be in compliance with the Foreign Control of you know,

0:28:47.440 --> 0:28:50.480
<v Speaker 14>kind of regulations around Siphius, and so it could be

0:28:50.520 --> 0:28:53.840
<v Speaker 14>they already have people very well trained up to take

0:28:53.880 --> 0:28:57.640
<v Speaker 14>the reins of TikTok USA's algorithm. But if they don't,

0:28:57.840 --> 0:28:59.720
<v Speaker 14>I'm a little worried about how it's going to be

0:28:59.760 --> 0:29:03.480
<v Speaker 14>too owned and maybe a little bumpy once we kind

0:29:03.480 --> 0:29:07.120
<v Speaker 14>of do this split and have this algorithm twin of

0:29:07.200 --> 0:29:09.840
<v Speaker 14>sort of the master copy, but it has to be retrained.

0:29:10.200 --> 0:29:14.000
<v Speaker 4>And let's face it, if they're Byte Dance TikTok employees

0:29:14.040 --> 0:29:16.880
<v Speaker 4>who've been working on Project Texas, who says that byte

0:29:16.920 --> 0:29:19.680
<v Speaker 4>Dancers going to want them to move to us TikTok?

0:29:19.800 --> 0:29:21.200
<v Speaker 6>So we have to question what.

0:29:21.240 --> 0:29:24.920
<v Speaker 4>Engineering talent follows through theresa. I'm also interested in. There's

0:29:24.920 --> 0:29:28.240
<v Speaker 4>been some Reuters reporting and Bloomberg's yet to been confirming

0:29:28.240 --> 0:29:28.560
<v Speaker 4>on it.

0:29:28.600 --> 0:29:30.320
<v Speaker 6>But the idea that actually byte.

0:29:30.200 --> 0:29:33.040
<v Speaker 4>Dance as a whole has a lot more control than

0:29:33.080 --> 0:29:37.080
<v Speaker 4>perhaps have been previously thought. Yes, they perhaps give over

0:29:37.120 --> 0:29:39.920
<v Speaker 4>the algorithm in a sunch way and it becomes updated

0:29:39.960 --> 0:29:42.680
<v Speaker 4>and monitored by the likes of Oracle, but they then

0:29:42.760 --> 0:29:45.480
<v Speaker 4>hold a separate division that will continue to be wholly owned,

0:29:45.760 --> 0:29:49.240
<v Speaker 4>and they'll control the revenue generating business operations such as

0:29:49.320 --> 0:29:50.960
<v Speaker 4>e commerce and advertising.

0:29:51.880 --> 0:29:53.280
<v Speaker 6>How does that technically work.

0:29:53.120 --> 0:29:55.360
<v Speaker 4>And how does that make us understand it from a

0:29:55.440 --> 0:29:56.680
<v Speaker 4>national security perspective?

0:29:57.800 --> 0:30:01.400
<v Speaker 14>Yeah, this is very interesting to me. So I think

0:30:01.440 --> 0:30:03.320
<v Speaker 14>a couple of things. One, we know the data has

0:30:03.360 --> 0:30:08.400
<v Speaker 14>been physically separated, but the algorithm itself. The reason why

0:30:08.520 --> 0:30:13.320
<v Speaker 14>an algorithm like TikTok's was so popular and beat out

0:30:13.520 --> 0:30:17.040
<v Speaker 14>most US based social media companies, at least as it

0:30:17.080 --> 0:30:19.680
<v Speaker 14>relates to gen Z, gen A and even you know,

0:30:19.760 --> 0:30:23.560
<v Speaker 14>candidly other generations. A lot of people have adopted TikTok,

0:30:23.840 --> 0:30:26.200
<v Speaker 14>and the reason why it's so good is that algorithm

0:30:26.240 --> 0:30:29.400
<v Speaker 14>is constantly learning. How does it learn? It has to

0:30:29.480 --> 0:30:33.480
<v Speaker 14>train itself on data and where you come from, where.

0:30:33.240 --> 0:30:34.640
<v Speaker 8>You go to and all of those things.

0:30:35.040 --> 0:30:38.280
<v Speaker 14>I don't know how the algorithm stays hip and cool

0:30:38.920 --> 0:30:43.880
<v Speaker 14>and edgy if it's completely separated from ByteDance, So how

0:30:43.880 --> 0:30:47.240
<v Speaker 14>does it learn if it becomes a black box of learning?

0:30:47.720 --> 0:30:51.560
<v Speaker 14>So lots of questions still around how that engineering is

0:30:51.600 --> 0:30:53.080
<v Speaker 14>going to work and how are they going to set

0:30:53.080 --> 0:30:56.480
<v Speaker 14>this up. So, for example, there is a term called

0:30:56.520 --> 0:30:58.520
<v Speaker 14>digital twin where you can actually have a.

0:30:58.440 --> 0:31:01.600
<v Speaker 8>Full production copy of production and.

0:31:01.880 --> 0:31:06.080
<v Speaker 14>Essentially have it be the same and you know, potentially

0:31:06.120 --> 0:31:08.960
<v Speaker 14>have the data be separated. We're going to have to

0:31:08.960 --> 0:31:11.680
<v Speaker 14>have some really smart engineers on the US side of

0:31:11.760 --> 0:31:14.800
<v Speaker 14>TikTok to really say whether or not there's backdoors, whether

0:31:14.920 --> 0:31:17.960
<v Speaker 14>or not some of the data itself is truly anonymized,

0:31:18.160 --> 0:31:22.120
<v Speaker 14>or if we still have a real issue with kind

0:31:22.160 --> 0:31:25.440
<v Speaker 14>of foreign interest being able to see USB citizen.

0:31:25.120 --> 0:31:28.680
<v Speaker 4>Data and theresa I follow up with a relatively sensitive

0:31:28.720 --> 0:31:31.400
<v Speaker 4>political question here, because a lot of anxiety has been

0:31:31.400 --> 0:31:35.320
<v Speaker 4>put into the potential biases that creep into this algorithm.

0:31:35.480 --> 0:31:39.440
<v Speaker 4>If it's Chinese overseeing controlled whatever, you might make a

0:31:39.480 --> 0:31:42.600
<v Speaker 4>byte dance. If it's now overseen and controlled by Oracle,

0:31:43.480 --> 0:31:45.800
<v Speaker 4>what can they put in place to ensure that the

0:31:45.920 --> 0:31:49.560
<v Speaker 4>users that may or may not migrate over feel comfortable

0:31:49.640 --> 0:31:52.800
<v Speaker 4>with the control of algorithm by them and what biases

0:31:52.840 --> 0:31:54.720
<v Speaker 4>they need to oversee in the same way that we

0:31:54.800 --> 0:31:57.240
<v Speaker 4>question other parent companies such as Metro and Snap.

0:31:59.000 --> 0:32:01.720
<v Speaker 14>I love the question asking here because of our lack

0:32:01.760 --> 0:32:06.280
<v Speaker 14>of governance and guardrails over social media platforms, over big tech,

0:32:06.800 --> 0:32:11.760
<v Speaker 14>as far as understanding the transparency around these algorithms, how

0:32:11.800 --> 0:32:14.560
<v Speaker 14>they train things. Do I, as a user get to

0:32:14.600 --> 0:32:17.880
<v Speaker 14>reset my algorithm? Do I get to see transparency into

0:32:17.920 --> 0:32:20.400
<v Speaker 14>what's being served up to me or to my children

0:32:20.600 --> 0:32:22.840
<v Speaker 14>or to my customers if I have a business account.

0:32:23.200 --> 0:32:24.440
<v Speaker 8>So, because we don't.

0:32:24.160 --> 0:32:26.960
<v Speaker 14>Have that today, this is a great question and it

0:32:27.000 --> 0:32:29.160
<v Speaker 14>has to be asked of all the social media and

0:32:29.200 --> 0:32:33.320
<v Speaker 14>big tech platforms, and you're right, we don't know potentially

0:32:33.360 --> 0:32:35.760
<v Speaker 14>who's sitting on that board, not just Oracle, but the

0:32:35.800 --> 0:32:38.440
<v Speaker 14>other investors. You know, are they going to have sort

0:32:38.440 --> 0:32:41.200
<v Speaker 14>of a heavy thumb, if you will, on the algorithms

0:32:41.240 --> 0:32:44.200
<v Speaker 14>and how they work more to com Obviously.

0:32:44.160 --> 0:32:46.520
<v Speaker 4>Evolving story trees are paid in there with us, so

0:32:46.600 --> 0:32:47.160
<v Speaker 4>appreciate it.

0:32:47.280 --> 0:32:49.320
<v Speaker 6>CEO for Talis Solutions form of.

0:32:49.320 --> 0:32:53.160
<v Speaker 4>Bush white House CIO coming up of an AI stargate

0:32:53.200 --> 0:32:57.320
<v Speaker 4>ambitions could super charge them on for aipower, big implications

0:32:57.320 --> 0:32:58.200
<v Speaker 4>from video and Oracle.

0:32:58.280 --> 0:32:59.920
<v Speaker 6>That's next. This is bloombag Tech.

0:33:16.000 --> 0:33:19.520
<v Speaker 4>Quil Com CEO Cristiano Arman said that the Nvidia Intel

0:33:19.720 --> 0:33:22.440
<v Speaker 4>deal from earlier this week is in a way, and

0:33:22.520 --> 0:33:25.120
<v Speaker 4>I quote the moment they had been waiting for. He

0:33:25.240 --> 0:33:27.400
<v Speaker 4>spas why talks about the impact on Qualcom and the

0:33:27.440 --> 0:33:29.240
<v Speaker 4>rest of the industry when the news broke this.

0:33:29.200 --> 0:33:33.120
<v Speaker 15>Week, when you actually dig deeper on it, and it

0:33:33.200 --> 0:33:36.720
<v Speaker 15>was interesting, Actually when did announcement happen, it was interesting.

0:33:37.040 --> 0:33:38.239
<v Speaker 2>We were slightly up.

0:33:38.280 --> 0:33:41.240
<v Speaker 15>It was kind of neutral to positive to Qualcom, and

0:33:42.040 --> 0:33:45.480
<v Speaker 15>we saw I think the market stock reaction on arm

0:33:45.640 --> 0:33:49.920
<v Speaker 15>On MD and and an Intel was up and the

0:33:49.960 --> 0:33:53.560
<v Speaker 15>way we actually look at this, we're incredibly excited because

0:33:53.600 --> 0:33:57.600
<v Speaker 15>what he basically means is, I think it's Intel was

0:33:57.600 --> 0:34:02.880
<v Speaker 15>sending a message that they're integrated GPU in their AI

0:34:03.040 --> 0:34:06.680
<v Speaker 15>products are They're not going to likely not to continue

0:34:06.680 --> 0:34:08.520
<v Speaker 15>with that because that's what the market is seeing. It's

0:34:08.560 --> 0:34:11.640
<v Speaker 15>going to be in Vidia. So then as in Nvidia

0:34:11.719 --> 0:34:16.280
<v Speaker 15>comes in to the integrated GPU market, combining their GPU

0:34:16.360 --> 0:34:19.520
<v Speaker 15>with Intel x eighty six, he started to bring AI

0:34:20.480 --> 0:34:23.120
<v Speaker 15>into the PC market. And that is the moment we've

0:34:23.120 --> 0:34:24.960
<v Speaker 15>been waiting for. And I think that's what we do.

0:34:25.080 --> 0:34:28.360
<v Speaker 15>And I think the Qualcom DNA is anything that is

0:34:28.440 --> 0:34:31.880
<v Speaker 15>battery power, is high performance, low battery life and a

0:34:31.880 --> 0:34:34.680
<v Speaker 15>lot of AI. That's that's where we want the market

0:34:34.719 --> 0:34:36.680
<v Speaker 15>to be welcome.

0:34:36.680 --> 0:34:38.440
<v Speaker 2>The CEO Christiano, I'm on there.

0:34:38.760 --> 0:34:41.680
<v Speaker 3>Meanwhile, Open ai is pushed to scale up as Stargate

0:34:41.719 --> 0:34:45.719
<v Speaker 3>project is set to accelerate demand for AI computes, potentially

0:34:45.719 --> 0:34:48.440
<v Speaker 3>lifting other AI sectors from in Video's hardware sales to

0:34:48.480 --> 0:34:51.640
<v Speaker 3>Oracle's cloud services for more. We've got mandate seeing senior

0:34:51.680 --> 0:34:55.240
<v Speaker 3>tech industry analysts of Bloomberg Intelligence, the thing about everything

0:34:55.280 --> 0:34:59.239
<v Speaker 3>that's happening is a misunderstanding of where the demand is

0:34:59.239 --> 0:35:02.480
<v Speaker 3>being sent, You've done a really good job. Like Microsoft

0:35:02.520 --> 0:35:05.239
<v Speaker 3>is outsourcing to Oracle basically because they don't have their

0:35:05.280 --> 0:35:09.120
<v Speaker 3>own capacity to deal with this. Just present the thesis

0:35:09.120 --> 0:35:11.279
<v Speaker 3>that you're trying to get the market to understand.

0:35:12.440 --> 0:35:15.200
<v Speaker 16>Yeah, look, I mean open Ai has told us that

0:35:15.239 --> 0:35:18.319
<v Speaker 16>they expect to get to two hundred billion dollar in

0:35:18.440 --> 0:35:22.960
<v Speaker 16>revenue by twenty thirty. Currently they will likely close the

0:35:23.040 --> 0:35:26.239
<v Speaker 16>year at twenty billion in ARR. So you know, when

0:35:26.280 --> 0:35:28.879
<v Speaker 16>you look at that seventy percent keeger for the next

0:35:28.920 --> 0:35:32.680
<v Speaker 16>four years, I think deals like what they have signed

0:35:32.680 --> 0:35:35.520
<v Speaker 16>with Oracle, the three hundred billion dollar deal and then

0:35:35.560 --> 0:35:39.520
<v Speaker 16>in video signing up that one hundred billion dollar investment

0:35:39.680 --> 0:35:44.000
<v Speaker 16>for ten gigawatt capacity kind of makes sense. How they

0:35:44.040 --> 0:35:47.920
<v Speaker 16>get to that capacity which will enable that two hundred

0:35:47.920 --> 0:35:50.720
<v Speaker 16>billion dollar in revenue. And we have sliced the different

0:35:51.120 --> 0:35:53.360
<v Speaker 16>kind of segments they will have. It won't be just

0:35:53.440 --> 0:35:58.200
<v Speaker 16>CHATQPT subscriptions. They will have API sales and AI agent sales.

0:35:58.520 --> 0:36:02.680
<v Speaker 16>But the enabling kind of infrastructure for that will come

0:36:02.719 --> 0:36:06.520
<v Speaker 16>from additional power and data center capacity that they will

0:36:06.520 --> 0:36:08.719
<v Speaker 16>have from all the deals that they are doing. And

0:36:08.760 --> 0:36:11.440
<v Speaker 16>that's the vision, And it comes down to how they

0:36:11.480 --> 0:36:12.560
<v Speaker 16>execute on that vision.

0:36:13.080 --> 0:36:16.680
<v Speaker 4>There was more news with open Ai looking towards call

0:36:16.719 --> 0:36:19.200
<v Speaker 4>weave a little bit more for some of its compute needs.

0:36:19.239 --> 0:36:22.160
<v Speaker 4>Now the care we've CEO joined at Ludlow remain a

0:36:22.160 --> 0:36:23.800
<v Speaker 4>little bit earlier yesterday.

0:36:23.880 --> 0:36:25.120
<v Speaker 6>Just to listen to what you have to say.

0:36:25.880 --> 0:36:30.719
<v Speaker 17>The challenge that we have is competition among our clients for.

0:36:30.840 --> 0:36:32.560
<v Speaker 2>The infrastructure that we have.

0:36:33.520 --> 0:36:36.319
<v Speaker 17>Right it is not a question of giving up one

0:36:36.360 --> 0:36:42.080
<v Speaker 17>client for another client because their demand doesn't completely absorb

0:36:42.239 --> 0:36:44.799
<v Speaker 17>all of our infrastructure. It's just a question of we

0:36:44.920 --> 0:36:49.080
<v Speaker 17>have one hundred units of compute to deliver in the

0:36:49.120 --> 0:36:52.840
<v Speaker 17>next twelve months. We could deliver all one hundred to

0:36:53.400 --> 0:36:56.279
<v Speaker 17>client number one, all one hundred to client number two,

0:36:56.360 --> 0:36:58.719
<v Speaker 17>or all one hundred to client number three. And the

0:36:58.800 --> 0:37:01.000
<v Speaker 17>question is is how are we going to divvy that

0:37:01.120 --> 0:37:02.320
<v Speaker 17>up among those coins.

0:37:03.040 --> 0:37:04.879
<v Speaker 6>Issue is supply side Mandle.

0:37:04.960 --> 0:37:07.520
<v Speaker 4>We say time and time again, and how big therefore

0:37:07.760 --> 0:37:10.160
<v Speaker 4>is the need? I've seen numbers. We start with Baine

0:37:10.200 --> 0:37:12.960
<v Speaker 4>saying two trillion. Then we saw, of course Ali Baba

0:37:13.000 --> 0:37:14.040
<v Speaker 4>say it's could be four trillion.

0:37:14.080 --> 0:37:14.680
<v Speaker 6>I've just read.

0:37:14.600 --> 0:37:17.280
<v Speaker 4>McKinsey's bullish case is up to send point nine trillion

0:37:17.320 --> 0:37:18.200
<v Speaker 4>by twenty thirty.

0:37:18.239 --> 0:37:19.480
<v Speaker 6>What do you have it as?

0:37:19.880 --> 0:37:22.920
<v Speaker 16>Yeah, look, I think Jensen sort of laid out quite

0:37:22.920 --> 0:37:25.319
<v Speaker 16>well with the one hundred billion dollar investment. He said,

0:37:25.360 --> 0:37:28.960
<v Speaker 16>for ten gigabart power, you need a four hundred billion

0:37:29.000 --> 0:37:32.280
<v Speaker 16>dollar investment. They are putting hundred billion dollars open. Aye

0:37:32.320 --> 0:37:35.000
<v Speaker 16>will have to find three hundred billion dollars from somewhere else.

0:37:35.280 --> 0:37:38.080
<v Speaker 16>But you can actually see if we end up adding

0:37:38.239 --> 0:37:41.759
<v Speaker 16>fifty gigaward of capacity, that would make up you know,

0:37:42.360 --> 0:37:45.560
<v Speaker 16>two trillion number. And so from that perspective, then you

0:37:45.640 --> 0:37:49.239
<v Speaker 16>start looking at how how much will be the tokens

0:37:49.280 --> 0:37:53.560
<v Speaker 16>generated from that additional fifty gigaward power capacity. And the

0:37:53.640 --> 0:37:56.680
<v Speaker 16>reason why that's the right framework is because every querry

0:37:56.840 --> 0:38:00.200
<v Speaker 16>right now is the function of tokens consumed. I mean,

0:38:00.200 --> 0:38:03.319
<v Speaker 16>Google says they have nine hundred eighty trillion tokens per month,

0:38:03.360 --> 0:38:06.720
<v Speaker 16>and that seems to be growing quite rapidly. Every company

0:38:06.800 --> 0:38:09.080
<v Speaker 16>right now is quantifying that. And so if you make

0:38:09.120 --> 0:38:12.200
<v Speaker 16>it a function of power, it's easy to see where

0:38:12.239 --> 0:38:14.759
<v Speaker 16>we will land up given you know, the tokens consumed

0:38:15.120 --> 0:38:18.319
<v Speaker 16>per ai agent or per query or any other use

0:38:18.400 --> 0:38:19.840
<v Speaker 16>case that Jenny I has.

0:38:20.080 --> 0:38:22.960
<v Speaker 4>And then we just need to source that power and

0:38:23.080 --> 0:38:26.560
<v Speaker 4>deep seeing Bloomberg Intelligence, great analysis, go read it.

0:38:26.600 --> 0:38:27.040
<v Speaker 6>Thank you.

0:38:27.200 --> 0:38:29.520
<v Speaker 4>Meanwhile, coming up, we'll take a look at how Apple

0:38:29.600 --> 0:38:32.000
<v Speaker 4>lagged so far behind on AI, how.

0:38:31.840 --> 0:38:33.680
<v Speaker 6>It can catch up. This is Blomberg Tech.

0:38:49.040 --> 0:38:49.400
<v Speaker 2>Apple.

0:38:49.560 --> 0:38:52.000
<v Speaker 4>There's long leed Silicon Valley in tech, but in the

0:38:52.040 --> 0:38:55.759
<v Speaker 4>world of AI, it's fallen way behind. Continuing missteps could

0:38:56.040 --> 0:38:59.759
<v Speaker 4>arguably threaten the ipho's dominance. Bloomberg Originals took a deep

0:38:59.800 --> 0:39:02.239
<v Speaker 4>dive into what went wrong and if Apple can catch up.

0:39:04.120 --> 0:39:05.640
<v Speaker 7>Sirih Well the name of the guy I had a

0:39:05.719 --> 0:39:07.960
<v Speaker 7>meeting with a couple of months ago at Cafe Cranell.

0:39:08.560 --> 0:39:10.960
<v Speaker 8>I met Zach Wingate at Cafe Grenelle.

0:39:11.880 --> 0:39:15.040
<v Speaker 18>Sach actor Bella Ramsey was bailed out by a new

0:39:15.120 --> 0:39:18.359
<v Speaker 18>version of Apple's Siri that was meant to be available for.

0:39:18.400 --> 0:39:22.400
<v Speaker 19>All That feature still has not been released. Originally supposed

0:39:22.400 --> 0:39:24.200
<v Speaker 19>to come out in April May of twenty twenty five,

0:39:24.280 --> 0:39:26.560
<v Speaker 19>but now it's on track for Spring twenty twenty six.

0:39:26.840 --> 0:39:29.280
<v Speaker 18>Apple took down the ad and is facing a lawsuit

0:39:29.360 --> 0:39:33.360
<v Speaker 18>over the delay, but the disconnect exposed a deeper issue.

0:39:33.680 --> 0:39:36.520
<v Speaker 18>The company was losing ground in the AI race.

0:39:36.760 --> 0:39:40.080
<v Speaker 19>They totally missed the boat. There was indecision. There was

0:39:40.160 --> 0:39:42.080
<v Speaker 19>lack of concern that this could become a real thing.

0:39:42.719 --> 0:39:44.320
<v Speaker 6>This is a story about how hard it can be

0:39:44.440 --> 0:39:45.200
<v Speaker 6>to stay on top.

0:39:45.600 --> 0:39:48.640
<v Speaker 16>AI is something that wasn't in their DNA.

0:39:48.920 --> 0:39:52.279
<v Speaker 18>Continued failure doesn't just hurt Siri, it could threaten the

0:39:52.320 --> 0:39:55.600
<v Speaker 18>iPhone's dominance. The product line accounts for more than half

0:39:55.600 --> 0:39:59.640
<v Speaker 18>of Apple's revenue, so missteps with what's become its most

0:39:59.800 --> 0:40:02.600
<v Speaker 18>non noticeable missing features could be devastating.

0:40:03.000 --> 0:40:05.880
<v Speaker 19>We saw this for many decades. Nokia was at the

0:40:06.000 --> 0:40:08.920
<v Speaker 19>very top of the phone industry. Apple came out with

0:40:08.920 --> 0:40:11.440
<v Speaker 19>a much better mouse truck. BlackBerry was at the top

0:40:11.480 --> 0:40:12.680
<v Speaker 19>of the industry.

0:40:12.719 --> 0:40:13.520
<v Speaker 9>Apple came out.

0:40:13.440 --> 0:40:15.520
<v Speaker 19>With the better mouse truck. They are going to be

0:40:15.560 --> 0:40:18.400
<v Speaker 19>in danger of the next Apple being created if they

0:40:18.400 --> 0:40:21.080
<v Speaker 19>don't get their act together soon with some serious acquisitions

0:40:21.400 --> 0:40:22.440
<v Speaker 19>changes in partnerships.

0:40:22.920 --> 0:40:29.399
<v Speaker 3>You can catch the full episode at Bloomberg dot com,

0:40:29.440 --> 0:40:32.680
<v Speaker 3>on YouTube or on the terminal. Two Wall Street bulls,

0:40:32.880 --> 0:40:35.880
<v Speaker 3>Tom Lee and Dan Ives are going against the grain

0:40:35.960 --> 0:40:39.320
<v Speaker 3>of Wall Street, leveraging social media to bring in fresh

0:40:39.360 --> 0:40:43.239
<v Speaker 3>inflows and outperformance in their ETFs. For more, Bloomberg Cross

0:40:43.320 --> 0:40:46.400
<v Speaker 3>asset reporter Isabelle Lee joins us this is one of

0:40:46.400 --> 0:40:49.239
<v Speaker 3>the most read stories on the Bloomberg terminal and the website.

0:40:49.360 --> 0:40:54.080
<v Speaker 3>It's not surprising two characters megatech bulls, but they've launched

0:40:54.080 --> 0:40:57.680
<v Speaker 3>ETFs explain the basics what we need to know about

0:40:57.680 --> 0:40:58.319
<v Speaker 3>what they're up to.

0:40:58.800 --> 0:41:01.759
<v Speaker 20>So these two hf stand out in a CE or

0:41:01.760 --> 0:41:04.520
<v Speaker 20>four four two hundred ETFs in the US because they

0:41:04.520 --> 0:41:08.480
<v Speaker 20>engineer a rare double performance, which is outperformance and flows.

0:41:08.640 --> 0:41:11.520
<v Speaker 20>Usually you're outperformed, but you don't see flows. Usually have flows,

0:41:11.680 --> 0:41:14.239
<v Speaker 20>but the performance isn't that. So both of them have

0:41:14.400 --> 0:41:16.480
<v Speaker 20>those two and the both of them also are really

0:41:16.480 --> 0:41:19.440
<v Speaker 20>this big figures. Tomlely has five hundred thousand followers on Twitter,

0:41:19.760 --> 0:41:21.920
<v Speaker 20>dan Ives has around two hundred thousand. So they go

0:41:22.040 --> 0:41:25.040
<v Speaker 20>straight to their retail investors, and they go straight to

0:41:25.040 --> 0:41:27.959
<v Speaker 20>them with their ideas and guess what these are. Retail

0:41:28.000 --> 0:41:31.080
<v Speaker 20>investors buy them up by the billions as well.

0:41:31.200 --> 0:41:35.360
<v Speaker 4>Their ideas go straight to a potential retail and institutional investor.

0:41:35.560 --> 0:41:37.520
<v Speaker 4>And at the same time, say dan Ives comes on

0:41:37.560 --> 0:41:42.719
<v Speaker 4>this show as a buyside and sell side analyst. He's

0:41:42.760 --> 0:41:46.080
<v Speaker 4>coming on and trying to say I'm independent and my

0:41:46.200 --> 0:41:48.520
<v Speaker 4>view is that these companies are going to go higher

0:41:48.560 --> 0:41:50.040
<v Speaker 4>and he does think they're all going to go high.

0:41:50.120 --> 0:41:52.960
<v Speaker 6>He's a permeable. But what if we start to question evaluations.

0:41:53.000 --> 0:41:54.080
<v Speaker 6>What if at some point.

0:41:53.840 --> 0:41:57.480
<v Speaker 4>He goes negative on the idea of certain stocks. Does

0:41:57.520 --> 0:41:59.200
<v Speaker 4>that damage the ETF inflows?

0:41:59.200 --> 0:42:00.960
<v Speaker 6>How does he remain independent in this way.

0:42:02.000 --> 0:42:03.799
<v Speaker 20>That's a good point, Caroline, And this is a new trend.

0:42:03.800 --> 0:42:06.560
<v Speaker 20>We're seeing that these prominent figures are launching their own ETF.

0:42:06.640 --> 0:42:09.480
<v Speaker 20>So both Tom Lee and Danives have their own really

0:42:09.520 --> 0:42:11.759
<v Speaker 20>strong base because of their research. They both just send

0:42:11.800 --> 0:42:14.800
<v Speaker 20>out researchers every day. You get their notes multiple times

0:42:14.800 --> 0:42:16.719
<v Speaker 20>a day if you pay as a client. And then

0:42:16.760 --> 0:42:18.479
<v Speaker 20>they thought, you know what, why not let me wrap

0:42:18.520 --> 0:42:21.200
<v Speaker 20>my ideas into this one big ETF so that my

0:42:21.640 --> 0:42:25.120
<v Speaker 20>followers or my now investors can just buy those ETFs.

0:42:24.640 --> 0:42:25.160
<v Speaker 6>In one click.

0:42:25.200 --> 0:42:26.960
<v Speaker 20>And that's a beautiful ets and one click you can

0:42:27.000 --> 0:42:29.239
<v Speaker 20>really just purchase them. But to your point, that is

0:42:29.280 --> 0:42:32.960
<v Speaker 20>true because followers are loyal to them, they listen to

0:42:33.000 --> 0:42:33.640
<v Speaker 20>their every call.

0:42:33.800 --> 0:42:36.279
<v Speaker 6>But what if they now it's the question of.

0:42:36.200 --> 0:42:38.960
<v Speaker 20>Whether there's going to be some self interest that remains

0:42:39.000 --> 0:42:41.000
<v Speaker 20>to be c and I'm sure they practice fiduciary and

0:42:41.000 --> 0:42:42.360
<v Speaker 20>they're doing what's best for their clients, so.

0:42:42.360 --> 0:42:43.280
<v Speaker 6>The rest of their interests.

0:42:43.400 --> 0:42:46.080
<v Speaker 20>But then it's really interesting because these big name launches

0:42:46.120 --> 0:42:50.080
<v Speaker 20>from Rubini also he launches own ETFs, even Gmo. Even

0:42:50.200 --> 0:42:52.680
<v Speaker 20>Rick Reader who's now in contention to Fetchir, he has

0:42:52.719 --> 0:42:54.719
<v Speaker 20>his own ETF. So it's really a new wave. And

0:42:54.760 --> 0:42:57.360
<v Speaker 20>I think not all famous people when they launch their

0:42:57.360 --> 0:43:00.440
<v Speaker 20>own ETFs, not all of them gain traction. For them

0:43:00.440 --> 0:43:01.480
<v Speaker 20>at least it's doing well.

0:43:01.520 --> 0:43:04.120
<v Speaker 3>They are their own personal brands. Hopefully that's thrups some

0:43:04.160 --> 0:43:07.640
<v Speaker 3>picks real quick. But dan Ives is charismatic. Just explain

0:43:07.800 --> 0:43:10.480
<v Speaker 3>to those that don't know what he's like.

0:43:10.960 --> 0:43:13.200
<v Speaker 20>Where do we begin with Danas every quart he has

0:43:13.200 --> 0:43:16.120
<v Speaker 20>this quotable. He wears these colorful clothes. He's always in

0:43:16.160 --> 0:43:18.399
<v Speaker 20>a cap. Everyone is in black and white, and he's

0:43:18.440 --> 0:43:21.319
<v Speaker 20>just really this big, red, colorful figure. Tomley is the same.

0:43:21.360 --> 0:43:24.359
<v Speaker 20>They make this big, audacious bets and it really is

0:43:24.400 --> 0:43:26.320
<v Speaker 20>a SoundBite that you've'll forever listened to.

0:43:26.960 --> 0:43:29.800
<v Speaker 4>Interesting mean, they both recently become chairs of digital asset

0:43:29.880 --> 0:43:33.600
<v Speaker 4>treasury companies as well, so they seem to be in

0:43:33.719 --> 0:43:36.680
<v Speaker 4>sync on certain areas of the market. Bloomberg's is Abelli

0:43:37.080 --> 0:43:40.120
<v Speaker 4>great reporting and great story. Go read it that does

0:43:40.160 --> 0:43:41.759
<v Speaker 4>it from this edition at Blomberg tech Head.

0:43:42.560 --> 0:43:44.440
<v Speaker 2>Yeah, don't forget to check out the podcast. You know

0:43:44.480 --> 0:43:45.040
<v Speaker 2>where to find it.

0:43:45.040 --> 0:43:47.400
<v Speaker 3>It's on the Bloomberg terminal, it's online, it's on Apple,

0:43:47.440 --> 0:43:50.719
<v Speaker 3>it's on Spotify, and it's on iHeart. What a week

0:43:50.800 --> 0:43:53.720
<v Speaker 3>it's been from San Francisco and New York City.

0:43:54.440 --> 0:43:55.440
<v Speaker 2>It's Bloomberg