WEBVTT - US and China Trade Talks Impact Tech Ecosystem

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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 Hyde in New York

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<v Speaker 1>and ed La Loow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. Apple closes a retail

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<v Speaker 2>store in China for the first time ever. What this

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<v Speaker 2>means for the iPhone maker's plan to revive sales, Plus US.

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<v Speaker 3>And Chinese officials continue talks to extend the tariff truth

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<v Speaker 3>beyond mid August expiring with Tech Export Controls under the microscope, and.

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<v Speaker 2>We discuss SOFI second quarter earnings with the CEO, Anthony Nodo.

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<v Speaker 4>As the stock surges, Apple's.

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<v Speaker 2>Kind of softer down seven ten to one percent, a

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<v Speaker 2>big points drag at the index level, closing a store

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<v Speaker 2>in China which we can get to, and then headlines

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<v Speaker 2>in the last hour from the Wall Street Journal that

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<v Speaker 2>JP Morgan is now the front runner to take over

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<v Speaker 2>that Apple credit card business.

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<v Speaker 3>There's a lot to discuss, there is, and there's a

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<v Speaker 3>person to do it with. Bloomberg's Tom Giles joins us

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<v Speaker 3>now and Tom just first of all, this signal that

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<v Speaker 3>we're getting pulling back from one particular area bricks and

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<v Speaker 3>water in China.

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<v Speaker 5>Is it a big deal for Apple?

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<v Speaker 6>China is a huge deal for Apple.

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<v Speaker 7>Let's put it in perspective this one particular store.

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<v Speaker 4>There's a question mark about this mall.

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<v Speaker 7>You've had other retailers US based retailers like Coach, Hugo

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<v Speaker 7>Boss have gotten out of there. So I'm not sure

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<v Speaker 7>how much to read into those one particular mall. But

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<v Speaker 7>let's dial the lens back and talk about the big

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<v Speaker 7>picture in China. China is a huge market for Apple,

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<v Speaker 7>and they have seen sales declining there for a whole.

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<v Speaker 6>Host of reasons. Most recently.

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<v Speaker 7>You have to look at the domestic economy in China.

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<v Speaker 7>There are deflationary pressures. There are questions about how much

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<v Speaker 7>the tariffs are going to affect that economy. Remember, exports

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<v Speaker 7>are a huge part of China's global economy, so demand there.

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<v Speaker 7>How big is demand for products like Apple's iPhone. That's

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<v Speaker 7>what Apple needs to take into consideration. We're going to

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<v Speaker 7>be hearing from them in the next couple of days

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<v Speaker 7>to see how things are going in China. And don't

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<v Speaker 7>forget there's a lot of competition domestically in China from

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<v Speaker 7>names like Huawei and Opo and Viva We talked about

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<v Speaker 7>them before, but the competition there is real and people

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<v Speaker 7>are looking for alternatives to Apple because of this whole

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<v Speaker 7>all these questions about US China relations and whether and

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<v Speaker 7>how much pressure the government is putting on domestic markets

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<v Speaker 7>to focus on China names and not Apple.

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<v Speaker 4>That sets us up really well for earning.

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<v Speaker 2>So I think analyst consensus is that they will swing

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<v Speaker 2>back to revenue growth on a year on year basis

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<v Speaker 2>in Greater China. So we wait for that. The headline

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<v Speaker 2>this morning is from the Wall Sweet Journal and that

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<v Speaker 2>JP Morgan, in a pack of many, is now the

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<v Speaker 2>front runner to take over the credit card business. Interesting

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<v Speaker 2>in a sense that SERVICESVA is important.

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<v Speaker 4>But what do we need to know?

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<v Speaker 7>Well, remember that this is an important relationship for the banks.

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<v Speaker 7>Goldman tried it with Apple, it fizzled. There are questions

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<v Speaker 7>about Goldman's consumer strategy and whether that was the right

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<v Speaker 7>mix for them. It's a big deal for JP Morgan.

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<v Speaker 7>Gives them opportunity to push financial services products to a

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<v Speaker 7>whole new legions of Apple customers.

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<v Speaker 4>Big deal for them.

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<v Speaker 2>Bloomberg's Senior executive edit for Tech, Tom Giles here in

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<v Speaker 2>San Francisco. Thank you very much, let's stick with that

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<v Speaker 2>China story. US and Chinese officials are in their second

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<v Speaker 2>day of trade talks in Stockholm, this to extend their

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<v Speaker 2>tariff truce beyond an initial ninety day period. Let's get

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<v Speaker 2>over to Stockholm where Blueberg's Oliver Crook is standing by.

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<v Speaker 4>Oliver, what's the latest. Yeah, that's right.

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<v Speaker 8>We're just in the briefing room here where were expecting

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<v Speaker 8>Treasury Secretary Scott Bessett at any moment now in the

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<v Speaker 8>next couple of minutes, Jamison Greer, who have been locked

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<v Speaker 8>in discussions with their Chinese counterparts for the last two days,

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<v Speaker 8>with the Vice Premiere of China five hours yea yesterday,

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<v Speaker 8>about six hours so far today.

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<v Speaker 9>In terms of the trade.

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<v Speaker 8>Negotiations and the ambition, as you say it is, to

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<v Speaker 8>extend that trade truth that currently stands between the United

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<v Speaker 8>States and China. Those teriffs from the US have dropped

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<v Speaker 8>down to thirty percent, twenty percent of those are fentanyl related,

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<v Speaker 8>ten percent of those sort of baseline tariffs, and that's

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<v Speaker 8>down from the one hundred and twenty five percent level

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<v Speaker 8>we reached at the sort of fever pitch of the

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<v Speaker 8>trade war between the two sides. That is set to

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<v Speaker 8>expire on August the twelfth, and that is what they're

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<v Speaker 8>sort of locked in the discussions to try to extend

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<v Speaker 8>over another ninety days. There are plani play of other

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<v Speaker 8>issues at as you cover every single day that they

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<v Speaker 8>have to discuss. The question will be we did they

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<v Speaker 8>make progress on any of those things? Is there enough

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<v Speaker 8>progress to give a kind of timeline on when a

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<v Speaker 8>comprehensive framework could potentially be happening with the Chinese? Could

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<v Speaker 8>there be something of a timeline on the meeting between

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<v Speaker 8>Shiji Ping and Trump. These are going to be all

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<v Speaker 8>of the questions that are going to have for Treasury

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<v Speaker 8>Secretary Scott Besson't and probably a few other questions on

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<v Speaker 8>other issues of trade, the deal with the EU. There's

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<v Speaker 8>still some open questions about steel tariffs, about pharmaceutical tarrafts,

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<v Speaker 8>so great many questions to put to the Treasury Secretary

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<v Speaker 8>when it comes out in the next few minutes.

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<v Speaker 3>There certainly is Oliver just going back to our sweet

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<v Speaker 3>spot of tech that has been a lot been made

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<v Speaker 3>of rare earth metals, whether or not they've actually been

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<v Speaker 3>able to get more swiftly from China into the United States,

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<v Speaker 3>And of course there was that offering that olive branch

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<v Speaker 3>of h twenties going back from Nvidia.

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<v Speaker 8>Yeah, that's right, and that's really kind of the only

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<v Speaker 8>place you've seen a great deal of olive branches extended

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<v Speaker 8>from the US and from China.

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<v Speaker 4>To one another.

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<v Speaker 8>And we should say these are not just sort of

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<v Speaker 8>acts of goodwill. These are two sectors in which each

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<v Speaker 8>side is dependent on the other. Whether it's the Chinese

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<v Speaker 8>who have a stranglehold on those rare earth metals, on

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<v Speaker 8>those magnets, whether it's the United States that has a

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<v Speaker 8>stranglehold on those advanced AI chips. And they've made those concessions,

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<v Speaker 8>but not necessarily out of the goodness of their heart.

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<v Speaker 8>There is going to be a question about whether or

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<v Speaker 8>not those deliveries those rare earth metals have been flowing.

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<v Speaker 4>I'm sure that will be one.

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<v Speaker 8>Of the questions to Treasury Secretary Scott Besson. So we

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<v Speaker 8>will get a little bit more detail on that, Caroline

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<v Speaker 8>in the next couple of minutes. So stay tuned and

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<v Speaker 8>we'll hear from the Treasury Secretary quite soon.

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<v Speaker 3>We'll be coming back to you, Oliver Kruk, thank you

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<v Speaker 3>from dot com. Let's get you bought a context now.

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<v Speaker 3>Michelle Guide is with us. She is the CEO of

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<v Speaker 3>the CROC Institute for Techti Promacy at Purdue. Served as

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<v Speaker 3>Assistant Secretary of State for Global Public Affairs under the

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<v Speaker 3>first Trump administration that was twenty eighteen to twenty twenty,

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<v Speaker 3>and Michelle the context now is one of which US

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<v Speaker 3>and China are setting themselves up for this race, whether

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<v Speaker 3>it be in AI, whether it be in manufacturing, whether

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<v Speaker 3>it be in energy, which is the most important outcomes

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<v Speaker 3>you think in terms of where we take trade going forward, the.

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<v Speaker 10>Most important outcome is going to be American security, prosperity,

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<v Speaker 10>and leadership, and that's what all of these trade negotiations

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<v Speaker 10>are about.

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<v Speaker 11>There are means to that end.

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<v Speaker 10>China has built a massive manufacturing economy, the United States

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<v Speaker 10>has built a massive consumer economy.

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<v Speaker 11>So they make stuff and we consume it and we

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<v Speaker 11>buy it.

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<v Speaker 10>And now, being a consumer at that scale is a

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<v Speaker 10>big vulnerability when your largest supplier is an adversary, and

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<v Speaker 10>we buy and consume three hundred billion dollars more stuff

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<v Speaker 10>from China than they buy from US.

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<v Speaker 11>And that matters.

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<v Speaker 10>When it's not just toys at walm More, and it's

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<v Speaker 10>not just home appliances.

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<v Speaker 11>We are consuming things independent on them for.

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<v Speaker 10>Things that are really important to our national security, as

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<v Speaker 10>you had just mentioned rare earth magnets, it's batteries, it's

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<v Speaker 10>pharmaceutical ingredients, it's the ability to make ships across the

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<v Speaker 10>world that have a commercial and a defense implication. So

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<v Speaker 10>rebalancing our trade relationship is key to making sure that

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<v Speaker 10>we are reincentivizing our ability and making it more attractive

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<v Speaker 10>to buy and to build these things at home than

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<v Speaker 10>to rely on China to.

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<v Speaker 11>Do those things.

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<v Speaker 3>It's interesting we've of course had MPY Materials with an

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<v Speaker 3>announcement that they as one of the only rare rev

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<v Speaker 3>metal miners here in the United States, they're going to

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<v Speaker 3>be supplying apple in some way. But are there enough incentives? Well,

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<v Speaker 3>what is ultimately a very dirty process? Do we want

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<v Speaker 3>to bring that home?

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<v Speaker 10>Michelle more portly, Well, China is either going to do

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<v Speaker 10>it in a very dirty process, because we have seen

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<v Speaker 10>that the Chinese Communist Party does not.

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<v Speaker 11>Have a lot of regard for the environment.

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<v Speaker 10>Or we can incentivize American companies to do it here

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<v Speaker 10>in a much cleaner and more efficient and effective way.

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<v Speaker 11>And so I think have America lead in these things.

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<v Speaker 10>Rare earth processing and other critical minerals is going to

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<v Speaker 10>be really important. We'll do it much cleaner, more effectively, safely,

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<v Speaker 10>and trustworthy than the Chinese Communist Party.

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<v Speaker 4>Michelle, good morning, it's ed in San Francisco.

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<v Speaker 2>I don't want to go broad that meeting that's happening

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<v Speaker 2>right now in Stockholm between Chinese trade officials and American

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<v Speaker 2>trade officials. Who is currently on top in this negotiation.

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<v Speaker 10>Well, I think what we've seen is that everything is

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<v Speaker 10>on the table, and the United States has a lot

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<v Speaker 10>of leverage. As you said, you know, they want a

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<v Speaker 10>lot of things from the United States, including our chips

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<v Speaker 10>and including our consumer economy because they are largely export based, and.

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<v Speaker 11>So we matter to them as much as they matter

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<v Speaker 11>to us.

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<v Speaker 10>And so I think everything's on the table, and ultimately

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<v Speaker 10>here the goal is to walk out with a better

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<v Speaker 10>deal for the United States, so we are more prosperous,

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<v Speaker 10>more free, more secure, and we can incentivize building the

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<v Speaker 10>sectors here that are going to be important to American leadership.

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<v Speaker 10>The President last week just talked about our big AI

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<v Speaker 10>Action plan and wanting to run on American tech, and

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<v Speaker 10>so we need to incentivize the industries that are going

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<v Speaker 10>to make that possible.

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<v Speaker 2>And one of the pillars of that plan is for

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<v Speaker 2>America to export technology to the world. How important an

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<v Speaker 2>export market is China for the American technology stack.

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<v Speaker 10>Well, the jury is still out on whether or not

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<v Speaker 10>China is going to be an economy that wants the

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<v Speaker 10>American technology stack. If you listen to what Hijin Ping

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<v Speaker 10>has said, he wants an independent, controllable AI hardware and

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<v Speaker 10>software foundational system.

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<v Speaker 11>That means a Chinese tech stack.

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<v Speaker 10>And so we'll see whether or not Chi Jianping and

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<v Speaker 10>the Chinese economy wants American tech. It's all the more

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<v Speaker 10>reason that deals with our allies like the EU that

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<v Speaker 10>just happened, like Japan that just happened matter because if

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<v Speaker 10>you look at the US and our top ten democratic

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<v Speaker 10>allies the EU included, that's like sixty to seventy percent

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<v Speaker 10>of global GDP. What a great place to start for

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<v Speaker 10>us to deploy American technology is the backbone of the

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<v Speaker 10>global economy and the free world and then start to

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<v Speaker 10>work out from there.

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<v Speaker 3>Michelle, it's almost the one area of bipartisanship has been

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<v Speaker 3>a hawkish nature towards China. But I think about a

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<v Speaker 3>potential ban on TikTok.

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<v Speaker 5>Currently not happening.

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<v Speaker 3>When we think about a potential meeting between Trump and jijingping,

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<v Speaker 3>some China Hawks, some of the most odd and in

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<v Speaker 3>the current administration for frustrated that actually President Trump is

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<v Speaker 3>giving way too much for a deal.

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<v Speaker 5>What do you make of it?

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<v Speaker 10>Well, I think the big picture is all of these

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<v Speaker 10>things are chips in the bargaining tools. They're all on

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<v Speaker 10>the table and up for negotiation, so we can ultimately

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<v Speaker 10>get to a deal that does make us more secure

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<v Speaker 10>and more prosperous. And so we've seen back and forth

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<v Speaker 10>on TikTok. We know that the Age twenty chips from

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<v Speaker 10>Nvidia were under export controls in April, and then in

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<v Speaker 10>July there were assurances that those licenses would be granted

0:10:49.880 --> 0:10:50.559
<v Speaker 10>to export them.

0:10:50.559 --> 0:10:52.160
<v Speaker 11>But all of these things are in flux.

0:10:51.920 --> 0:10:54.280
<v Speaker 10>And it's part of the high stakes negotiations that are

0:10:54.320 --> 0:10:57.120
<v Speaker 10>taking place. Ultimately that we want to get to a

0:10:57.200 --> 0:11:01.360
<v Speaker 10>place where we are incentivizing American leadership and security first.

0:11:01.360 --> 0:11:03.520
<v Speaker 3>And that takes regulation here at home as well. The

0:11:03.559 --> 0:11:07.240
<v Speaker 3>AI Action Plan meant to foster growth, particularly when it

0:11:07.240 --> 0:11:11.080
<v Speaker 3>comes to the underlying large language models and indeed the infrastructure.

0:11:11.320 --> 0:11:13.480
<v Speaker 3>What's interesting is there is this game of cat and

0:11:13.520 --> 0:11:17.080
<v Speaker 3>mouse and China yet more and more sophisticated models, open

0:11:17.120 --> 0:11:20.560
<v Speaker 3>ones coming to the full. How do you measure how

0:11:20.600 --> 0:11:22.920
<v Speaker 3>far China is in the generative AI race?

0:11:24.200 --> 0:11:27.160
<v Speaker 10>Well, I think it's how many countries and partners across

0:11:27.160 --> 0:11:30.000
<v Speaker 10>the world are adopting Chinese tech versus American tech. And

0:11:30.040 --> 0:11:32.720
<v Speaker 10>our goal is to have more countries and more companies

0:11:32.760 --> 0:11:35.840
<v Speaker 10>adopting American tech and in some cases Allied tech if

0:11:35.920 --> 0:11:39.000
<v Speaker 10>we're not the category leader, so that the tech stack

0:11:39.040 --> 0:11:41.880
<v Speaker 10>across the world is trusted. And so having a scorecard

0:11:42.559 --> 0:11:45.080
<v Speaker 10>where we track how many companies and countries are adopting

0:11:45.160 --> 0:11:48.800
<v Speaker 10>US and Allied technology versus Chinese technology is really important.

0:11:49.000 --> 0:11:50.800
<v Speaker 10>And I think, as the President laid out in his

0:11:50.880 --> 0:11:53.840
<v Speaker 10>AI Action Plan, what the administration is going to start

0:11:53.880 --> 0:11:57.520
<v Speaker 10>to do is put together exportable AI packages to start

0:11:57.559 --> 0:11:59.240
<v Speaker 10>to facilitate that more effectively.

0:12:00.559 --> 0:12:03.800
<v Speaker 2>Michelle Geider of the CROC Institute of Tech Diplomacy at Purdue,

0:12:03.800 --> 0:12:07.080
<v Speaker 2>thank you very much. Now, coming up, Spotify shares drop

0:12:07.120 --> 0:12:10.440
<v Speaker 2>as the music streaming company disappoints investors with a surprise

0:12:10.480 --> 0:12:11.360
<v Speaker 2>second quarter loss.

0:12:11.360 --> 0:12:13.840
<v Speaker 4>We'll have the details next. This is Bloomberg Tech.

0:12:21.640 --> 0:12:25.880
<v Speaker 3>Spotify shares having their worst day in two years, as

0:12:25.880 --> 0:12:28.840
<v Speaker 3>the company reported a loss in the second quarter. Let's

0:12:28.880 --> 0:12:31.599
<v Speaker 3>get more of Spotify's earnings or Bloomberg's Ashley Carmen, the

0:12:31.679 --> 0:12:34.480
<v Speaker 3>scene seems to be about employee pay in some ways

0:12:34.480 --> 0:12:35.400
<v Speaker 3>and taxes upon that.

0:12:36.160 --> 0:12:37.960
<v Speaker 12>Yeah, in some ways, Spotify is a victim of its

0:12:38.000 --> 0:12:41.080
<v Speaker 12>own success. They've basically said that because they've been doing

0:12:41.080 --> 0:12:43.160
<v Speaker 12>so well on the stock market, they've had to pay

0:12:43.200 --> 0:12:43.559
<v Speaker 12>out a.

0:12:43.520 --> 0:12:45.439
<v Speaker 5>Lot more than they anticipated.

0:12:44.800 --> 0:12:47.800
<v Speaker 12>To employees for payroll, taxes and whatnot, and so that

0:12:47.880 --> 0:12:49.720
<v Speaker 12>ended up in a loss in earnings per share.

0:12:50.520 --> 0:12:53.840
<v Speaker 2>There's a lot of like earnings mechanics and financial wizardry

0:12:53.840 --> 0:12:55.400
<v Speaker 2>around this kind of stuff. Is there a kind of

0:12:55.480 --> 0:12:59.640
<v Speaker 2>core Spotify story actually of how streaming audio is going

0:12:59.679 --> 0:13:01.880
<v Speaker 2>for them, and maybe a little bit about their video

0:13:01.920 --> 0:13:02.840
<v Speaker 2>strategy as well.

0:13:03.559 --> 0:13:07.920
<v Speaker 12>Yeah, So Spotify keeps adding subscribers users like they keep.

0:13:07.760 --> 0:13:10.079
<v Speaker 5>Growing every single quarter. It's pretty remarkable.

0:13:10.480 --> 0:13:12.400
<v Speaker 12>But what's sort of been a challenge for them is

0:13:12.440 --> 0:13:14.080
<v Speaker 12>figuring out what their next verticals are.

0:13:13.920 --> 0:13:15.200
<v Speaker 5>And seeing that through successfully.

0:13:15.240 --> 0:13:18.040
<v Speaker 12>So they've really made a push for advertising that hasn't

0:13:18.040 --> 0:13:20.720
<v Speaker 12>really panned out. They said now they are going to

0:13:20.760 --> 0:13:22.679
<v Speaker 12>be kind of rethinking.

0:13:22.240 --> 0:13:23.760
<v Speaker 5>That approach with advertising.

0:13:24.120 --> 0:13:28.120
<v Speaker 12>Their head of advertising actually stepped down yesterday. He's taking

0:13:28.160 --> 0:13:30.680
<v Speaker 12>a job at DoorDash, So they sort of suggested that

0:13:30.720 --> 0:13:32.160
<v Speaker 12>this is going to be a direction that they're going

0:13:32.200 --> 0:13:34.840
<v Speaker 12>to change course. And then they're making a very concentrated

0:13:34.840 --> 0:13:37.800
<v Speaker 12>push into video, and on today's earnings call, they said

0:13:37.880 --> 0:13:39.600
<v Speaker 12>one of their co praresidents said that.

0:13:39.480 --> 0:13:42.280
<v Speaker 5>This is a very exciting opportunity, but it's not a

0:13:42.400 --> 0:13:43.560
<v Speaker 5>necessary opportunity.

0:13:43.600 --> 0:13:45.120
<v Speaker 12>So I think they're still kind of figuring out where

0:13:45.120 --> 0:13:46.040
<v Speaker 12>they want to move next.

0:13:46.440 --> 0:13:48.920
<v Speaker 3>It's interesting that the week dollar, of course, plays into

0:13:48.920 --> 0:13:50.960
<v Speaker 3>all of this, and the third quarter to forecasts not

0:13:50.960 --> 0:13:55.000
<v Speaker 3>looking that pretty either. Ultimately, they are building more and

0:13:55.040 --> 0:13:57.000
<v Speaker 3>more users. As they say, it's sort of growing like

0:13:57.080 --> 0:13:59.199
<v Speaker 3>a weed, so that's going to be a positive momentum

0:13:59.280 --> 0:14:00.800
<v Speaker 3>story for many longer term.

0:14:00.880 --> 0:14:02.800
<v Speaker 12>Yeah, I think that that's how they're trying to position

0:14:02.920 --> 0:14:05.400
<v Speaker 12>this is that in the long term they seem very bullish,

0:14:05.480 --> 0:14:07.880
<v Speaker 12>they're excited, they feel like they've had a really great product.

0:14:08.040 --> 0:14:08.720
<v Speaker 5>It's just these.

0:14:08.559 --> 0:14:12.040
<v Speaker 12>Short term issues that they're kind of dealing with, and investors,

0:14:12.200 --> 0:14:13.760
<v Speaker 12>we'll see how they're feeling about it.

0:14:14.440 --> 0:14:16.839
<v Speaker 2>The stock's down almost eleven percent, which introday is the

0:14:16.880 --> 0:14:19.280
<v Speaker 2>biggest drop since early April, but if it closed, there

0:14:19.400 --> 0:14:21.440
<v Speaker 2>be the biggest drop since June of twenty twenty three,

0:14:21.600 --> 0:14:22.040
<v Speaker 2>So it's.

0:14:21.880 --> 0:14:22.720
<v Speaker 4>A strong reaction.

0:14:23.200 --> 0:14:24.840
<v Speaker 2>I'm not asking you something to ask you every single

0:14:24.880 --> 0:14:28.000
<v Speaker 2>quarter because this is how I listen to podcasts. How

0:14:28.040 --> 0:14:29.720
<v Speaker 2>is Spotify doing in podcasts?

0:14:30.480 --> 0:14:33.760
<v Speaker 12>They've really pivoted into video podcasts and they've been trying

0:14:33.760 --> 0:14:36.800
<v Speaker 12>to recruit more video creators to the platform, so they

0:14:36.800 --> 0:14:40.080
<v Speaker 12>really have not focused on these audio podcasts anymore. I've

0:14:40.120 --> 0:14:42.840
<v Speaker 12>reported quite a bit on how this initiative is going

0:14:42.880 --> 0:14:44.720
<v Speaker 12>for them. They're still missing quite a few of the

0:14:44.800 --> 0:14:46.720
<v Speaker 12>largest podcasters on that service.

0:14:46.440 --> 0:14:48.880
<v Speaker 5>For video, but they're still pushing and they're still trying.

0:14:49.840 --> 0:14:53.320
<v Speaker 3>Where is the audience for them? Always the growth story

0:14:53.360 --> 0:14:54.480
<v Speaker 3>at least it seems like.

0:14:54.440 --> 0:14:57.520
<v Speaker 12>It's developing markets, Yeah, but then also just trying to

0:14:57.560 --> 0:14:59.560
<v Speaker 12>get people to spend more time on the platform watch

0:14:59.600 --> 0:15:01.720
<v Speaker 12>these video which they compensate based.

0:15:01.560 --> 0:15:03.040
<v Speaker 5>That consumption rather than adds.

0:15:03.200 --> 0:15:05.400
<v Speaker 12>They're really trying to appeal spend more time through audiobooks

0:15:05.440 --> 0:15:08.040
<v Speaker 12>and maybe up level them to different tiers of subscriptions.

0:15:08.240 --> 0:15:10.320
<v Speaker 12>So I think that's where they're eyeing some possible growth.

0:15:11.440 --> 0:15:14.720
<v Speaker 2>Bluemogs actually Carmen on the streaming and Spotify beat. Thank

0:15:14.760 --> 0:15:17.200
<v Speaker 2>you very much. We have another earning story in PayPal.

0:15:17.520 --> 0:15:19.920
<v Speaker 2>Look at shares of the company down significantly, on track

0:15:19.920 --> 0:15:22.760
<v Speaker 2>for their biggest drop in almost six months. In part,

0:15:22.840 --> 0:15:25.320
<v Speaker 2>it's just the basics that they're seeing slow in growth

0:15:25.320 --> 0:15:28.600
<v Speaker 2>and payment volumes. But what happened in the morning session

0:15:28.760 --> 0:15:31.600
<v Speaker 2>was that the CEO on the call was talking about

0:15:31.680 --> 0:15:37.880
<v Speaker 2>US retail spending and sort of softening economic consumer data.

0:15:37.680 --> 0:15:38.120
<v Speaker 4>That kind thing.

0:15:38.160 --> 0:15:39.640
<v Speaker 2>But he was basically saying that they see a slight

0:15:39.960 --> 0:15:42.680
<v Speaker 2>acceleration and that's kind of worried people a little bit.

0:15:42.680 --> 0:15:44.240
<v Speaker 2>It's going to be interesting later in the hour Carrier

0:15:44.280 --> 0:15:47.640
<v Speaker 2>when we have Sofi, because it's somewhat analogous, right that

0:15:47.720 --> 0:15:50.120
<v Speaker 2>we might get a similar or maybe different read on

0:15:50.160 --> 0:15:52.560
<v Speaker 2>the strength of the consumer through the fintech lens.

0:15:52.880 --> 0:15:55.240
<v Speaker 3>From a share performance is a very different story for

0:15:55.280 --> 0:15:58.080
<v Speaker 3>so Far, which is up a whopping thirteen percent right now.

0:15:58.520 --> 0:16:01.080
<v Speaker 3>That interview to come at right here, right now. Coming up,

0:16:01.120 --> 0:16:04.720
<v Speaker 3>we've got open Ai back startup Ambient's healthcare. It was

0:16:04.760 --> 0:16:07.160
<v Speaker 3>reaching a one billion dollars valuation. We speak the co

0:16:07.240 --> 0:16:08.440
<v Speaker 3>founder Nik Kilberduma.

0:16:08.640 --> 0:16:10.120
<v Speaker 4>That's an expertive roombed tech.

0:16:21.280 --> 0:16:24.560
<v Speaker 2>Open AI back startup Ambience Healthcare has announced it's raised

0:16:24.560 --> 0:16:26.720
<v Speaker 2>two hundred and forty three million dollars in a new

0:16:26.760 --> 0:16:30.320
<v Speaker 2>funding round, valuing the administrative AI company at more than

0:16:30.360 --> 0:16:31.440
<v Speaker 2>one billion dollars.

0:16:31.480 --> 0:16:31.840
<v Speaker 4>For more.

0:16:32.000 --> 0:16:35.640
<v Speaker 2>Nik Kilberduma, Ambience Healthcare co founder and chief scientists, joins

0:16:35.680 --> 0:16:38.920
<v Speaker 2>us it's really interesting, you know, I actually go back

0:16:39.000 --> 0:16:41.200
<v Speaker 2>to maybe even three years, and this is where a

0:16:41.240 --> 0:16:43.160
<v Speaker 2>lot of people said the promise in the near term

0:16:43.400 --> 0:16:47.400
<v Speaker 2>was AI and healthcare, you know, the administrative task.

0:16:47.680 --> 0:16:48.840
<v Speaker 4>But the round is big.

0:16:48.960 --> 0:16:50.520
<v Speaker 2>I mean, what do you need two hundred and forty

0:16:50.520 --> 0:16:51.600
<v Speaker 2>three million dollars to do?

0:16:51.920 --> 0:16:52.160
<v Speaker 4>Yeah.

0:16:52.280 --> 0:16:55.520
<v Speaker 13>I think this round two hundred forty three million dollars

0:16:55.600 --> 0:16:57.840
<v Speaker 13>values as the company at one point twenty five billion dollars.

0:16:57.880 --> 0:17:00.440
<v Speaker 13>Now that round is led by oak HCFT and recent

0:17:00.480 --> 0:17:03.480
<v Speaker 13>Horoitz and with participation from open AI. I think it's

0:17:03.520 --> 0:17:06.080
<v Speaker 13>a testament to this platform that we've built for health systems,

0:17:06.080 --> 0:17:09.719
<v Speaker 13>which liberates clinicians from the administrative burden and enables them

0:17:09.720 --> 0:17:12.000
<v Speaker 13>to focus on their patient. And a big part of

0:17:12.000 --> 0:17:14.359
<v Speaker 13>it is we've built the sort of busting class platform,

0:17:14.400 --> 0:17:17.000
<v Speaker 13>which in practice what it does is before the patient

0:17:17.040 --> 0:17:20.000
<v Speaker 13>walks into the room. The system actually summarizes all the

0:17:20.040 --> 0:17:22.040
<v Speaker 13>context for the clinicians so they know what's going on

0:17:22.119 --> 0:17:24.760
<v Speaker 13>with that particular patient in the visit. It's listening in

0:17:24.800 --> 0:17:28.360
<v Speaker 13>the background, it's generating the documentation automatically for the clinician

0:17:28.400 --> 0:17:30.720
<v Speaker 13>on behalf of them, as also summary for the patient

0:17:30.720 --> 0:17:33.359
<v Speaker 13>and their families. And then afterwards it's automating all the

0:17:33.400 --> 0:17:38.159
<v Speaker 13>downstream sort of revenue cycle, coding and billing prior authorization workflows,

0:17:38.280 --> 0:17:41.160
<v Speaker 13>which is how health systems get paid. I think it's

0:17:41.200 --> 0:17:43.879
<v Speaker 13>allowing us to essentially work with many more institutions. We

0:17:43.920 --> 0:17:46.960
<v Speaker 13>work with some of the largest healthcare organizations, academic medical

0:17:47.000 --> 0:17:50.639
<v Speaker 13>centers in the country Cleveland Clinic, UCSF, Houston Methodists.

0:17:50.640 --> 0:17:52.200
<v Speaker 4>I think this surround is a testament to that way.

0:17:52.800 --> 0:17:55.840
<v Speaker 2>What's the company's core competence? You know, I understand the platform,

0:17:55.840 --> 0:17:57.560
<v Speaker 2>but what is it that you're good at that's allowed

0:17:57.560 --> 0:17:58.679
<v Speaker 2>you to build the platform.

0:17:58.760 --> 0:18:01.320
<v Speaker 13>I think a big part of it is we've built

0:18:01.320 --> 0:18:04.120
<v Speaker 13>an incredibly deep working relationship with open AI and other

0:18:04.160 --> 0:18:07.080
<v Speaker 13>foundation model makers to build the most capable foundation models

0:18:07.080 --> 0:18:09.600
<v Speaker 13>for healthcare and medicine, and then we've taken that and

0:18:09.680 --> 0:18:12.600
<v Speaker 13>packaged that into a series of workflows to help clinicians.

0:18:12.600 --> 0:18:15.080
<v Speaker 13>So I'll give you one example. We work with Cleveland Clinic,

0:18:15.119 --> 0:18:18.560
<v Speaker 13>one of the most sub specialized academic institutions in the country.

0:18:18.840 --> 0:18:22.119
<v Speaker 13>They have one hundred plus different specialty and sub specialty areas,

0:18:22.119 --> 0:18:24.720
<v Speaker 13>and you could imagine every single one of those specialists

0:18:24.720 --> 0:18:29.159
<v Speaker 13>practices different medicine, they have different workflows, there's different administrative rules,

0:18:29.359 --> 0:18:31.000
<v Speaker 13>and so what we've been able to do is create

0:18:31.040 --> 0:18:33.720
<v Speaker 13>a platform that services the needs of every single one

0:18:33.720 --> 0:18:37.560
<v Speaker 13>of those specialists. Over eighty percent of clinicians of Cleveland

0:18:37.560 --> 0:18:40.879
<v Speaker 13>Clinic use the technology in clinic every single day for

0:18:40.960 --> 0:18:43.400
<v Speaker 13>over seventy percent of those visits, and that's more than

0:18:43.400 --> 0:18:45.440
<v Speaker 13>two to three times some of the other alternatives in

0:18:45.480 --> 0:18:45.879
<v Speaker 13>the market.

0:18:46.119 --> 0:18:48.920
<v Speaker 3>Nikill go to that relationship, that working relationship that you

0:18:48.960 --> 0:18:51.080
<v Speaker 3>want to invest in further with open AI. What makes

0:18:51.080 --> 0:18:54.160
<v Speaker 3>your business defensible versus open AI just sort of building

0:18:54.200 --> 0:18:54.800
<v Speaker 3>it themselves.

0:18:55.920 --> 0:18:57.879
<v Speaker 13>I think a big part of it is as you

0:18:57.880 --> 0:19:00.479
<v Speaker 13>think about sort of the gap between general purpose reasoning

0:19:00.480 --> 0:19:02.480
<v Speaker 13>models and models that are actually a clinical grade and

0:19:02.560 --> 0:19:06.320
<v Speaker 13>compliance grade. There's a massive gap between models that truly

0:19:06.440 --> 0:19:08.720
<v Speaker 13>understand the medicine that's happening in every single visit.

0:19:08.760 --> 0:19:10.440
<v Speaker 4>We talked about Cleveland Clinic.

0:19:10.160 --> 0:19:13.160
<v Speaker 13>And other academic medical centers. Just the level of depth

0:19:13.200 --> 0:19:16.960
<v Speaker 13>and clinical reasoning that's happening across one hundred plus different specialties,

0:19:17.160 --> 0:19:19.720
<v Speaker 13>and how that's different from primary care to if you

0:19:19.760 --> 0:19:22.399
<v Speaker 13>have to go see an oncologist to even an oncological

0:19:22.480 --> 0:19:25.440
<v Speaker 13>subspecialist who might specialize in a particular type of cancer.

0:19:25.720 --> 0:19:28.000
<v Speaker 13>And it's bridging that gap in sort of the understanding

0:19:28.040 --> 0:19:31.239
<v Speaker 13>and reasoning capabilities of these models that ultimately allows us

0:19:31.240 --> 0:19:34.360
<v Speaker 13>to build software that really solves the problem for clinicians

0:19:34.400 --> 0:19:35.080
<v Speaker 13>on the front lines.

0:19:35.400 --> 0:19:38.080
<v Speaker 3>We are currently as we speak, just also seeing live

0:19:38.119 --> 0:19:41.400
<v Speaker 3>pictures of President Trump, who is currently in Scotland. He's opened,

0:19:41.440 --> 0:19:43.239
<v Speaker 3>of course, a new golf course, but he's also been

0:19:43.280 --> 0:19:47.560
<v Speaker 3>negotiating with EU, continues to be discussing relationships with the

0:19:47.640 --> 0:19:50.359
<v Speaker 3>UK going forward. We're going to be diving into that

0:19:50.720 --> 0:19:53.960
<v Speaker 3>as and where necessary for you. But let's just return

0:19:53.960 --> 0:19:56.119
<v Speaker 3>to you, Nikhil, as we hear, of course what President

0:19:56.119 --> 0:19:58.280
<v Speaker 3>Trump has been doing. I want to go to the

0:19:58.280 --> 0:20:02.119
<v Speaker 3>regulatory perspective here for your business at ambience, because I

0:20:02.200 --> 0:20:06.920
<v Speaker 3>am thinking immediately about healthcare requirements. When it comes to privacy.

0:20:07.080 --> 0:20:09.040
<v Speaker 3>How have you made sure that that's front and center

0:20:09.400 --> 0:20:13.240
<v Speaker 3>when you're relying on so many different users who well,

0:20:13.320 --> 0:20:14.960
<v Speaker 3>each hospital has a different rule case.

0:20:15.000 --> 0:20:17.600
<v Speaker 4>I'm sure it's a great question.

0:20:17.680 --> 0:20:20.119
<v Speaker 13>I think the idea of how do we build AI

0:20:20.200 --> 0:20:22.480
<v Speaker 13>that's safe, how do we do it responsibly, how do

0:20:22.480 --> 0:20:24.920
<v Speaker 13>we roll it out in a way that's effective. We're

0:20:25.000 --> 0:20:27.600
<v Speaker 13>lucky to work with some of the premier academic institutions

0:20:27.600 --> 0:20:29.800
<v Speaker 13>in the country, and that's allowed us to build infrastructure

0:20:29.880 --> 0:20:32.640
<v Speaker 13>not only to create and train AI in a safe

0:20:32.640 --> 0:20:35.640
<v Speaker 13>and private way, but also the governance processes to roll

0:20:35.640 --> 0:20:38.840
<v Speaker 13>it out responsibly. But I think the opportunity getting this

0:20:38.960 --> 0:20:41.280
<v Speaker 13>right is actually massive. You think about the ten thousand

0:20:41.359 --> 0:20:44.200
<v Speaker 13>seniors aging into Medicare every single day, the fact that

0:20:44.320 --> 0:20:46.919
<v Speaker 13>in every sort of virtual virtually every category of our

0:20:46.960 --> 0:20:49.320
<v Speaker 13>healthcare workforce, we are projecting the shortage of one hundred

0:20:49.359 --> 0:20:51.840
<v Speaker 13>plus thousand people over the next five to ten years,

0:20:51.960 --> 0:20:55.200
<v Speaker 13>and we as a country spend one trillion on administrative waste.

0:20:55.280 --> 0:20:58.200
<v Speaker 13>The opportunity to leverage AI to sort of help rehaul

0:20:58.240 --> 0:21:02.040
<v Speaker 13>how the system works, have better tools for our clinicians,

0:21:02.440 --> 0:21:04.760
<v Speaker 13>and actually take better care of our patients is pretty exciting.

0:21:05.400 --> 0:21:09.240
<v Speaker 3>Nikail Baduma of Ambience Healthcare.

0:21:13.640 --> 0:21:15.240
<v Speaker 5>Let's just shift gears into.

0:21:15.040 --> 0:21:17.639
<v Speaker 3>The other of AI and the relationship between Microsoft and

0:21:17.680 --> 0:21:20.960
<v Speaker 3>open Ai, because apparently when they're in advanced negotiations that

0:21:21.000 --> 0:21:25.000
<v Speaker 3>could change that relationship and actually help inaugurate the AI age.

0:21:25.359 --> 0:21:28.520
<v Speaker 3>The ongoing talks would give Microsoft access to open AI's

0:21:28.600 --> 0:21:32.160
<v Speaker 3>tech even after the chatchipte maker has reached its goal

0:21:32.359 --> 0:21:35.840
<v Speaker 3>of building artificial general intelligence. For more on what is

0:21:35.840 --> 0:21:38.440
<v Speaker 3>going on spring Bloomberg's Map Day. Now, this is an

0:21:38.480 --> 0:21:42.440
<v Speaker 3>age old relationship. It was the What bore really chatchipt

0:21:42.640 --> 0:21:44.960
<v Speaker 3>to the fold was the financial backing of open ai.

0:21:45.359 --> 0:21:47.680
<v Speaker 3>But the deal was always that they would have limited

0:21:47.720 --> 0:21:51.200
<v Speaker 3>access to tech if open Ai did reach AGI.

0:21:51.600 --> 0:21:53.040
<v Speaker 5>How is this going to change? Map?

0:21:53.800 --> 0:21:54.159
<v Speaker 9>That's right.

0:21:54.200 --> 0:21:56.119
<v Speaker 14>So Microsoft, as a condition of all the investment they

0:21:56.160 --> 0:21:58.960
<v Speaker 14>poured into open ai, they have access to their technology.

0:21:58.960 --> 0:22:00.240
<v Speaker 9>They can make it into their product.

0:22:00.480 --> 0:22:03.359
<v Speaker 14>They're worried for some time about a potential cliff, you know,

0:22:03.400 --> 0:22:05.720
<v Speaker 14>should open Ai say hey, we've you know, built an

0:22:05.760 --> 0:22:08.600
<v Speaker 14>artificially general intelligence system, Microsoft.

0:22:08.160 --> 0:22:09.400
<v Speaker 9>Would lose access to the tech.

0:22:09.800 --> 0:22:12.000
<v Speaker 14>So what we're hearing recently is that Microsoft is getting

0:22:12.000 --> 0:22:14.399
<v Speaker 14>more comfortable at the terms they're talking about now, I

0:22:14.400 --> 0:22:16.199
<v Speaker 14>mean that cliff might not occur, there might be a

0:22:16.200 --> 0:22:17.760
<v Speaker 14>way that they can continue to have access to some

0:22:17.840 --> 0:22:22.080
<v Speaker 14>of open AI's technology, you know, should they hit that milestone.

0:22:21.960 --> 0:22:24.720
<v Speaker 2>Matt, We've heard that talks of progressing, that they're positive

0:22:24.720 --> 0:22:27.320
<v Speaker 2>that they're still ongoing. We heard from sources that in

0:22:27.359 --> 0:22:30.520
<v Speaker 2>some valley, Sam Altman actually met with Sati Nadella to

0:22:30.560 --> 0:22:33.080
<v Speaker 2>talk about the issue. The part of it that is

0:22:33.080 --> 0:22:35.480
<v Speaker 2>on the open Ai side of this is that they

0:22:35.560 --> 0:22:38.359
<v Speaker 2>want to change that corporate structure. What do we know

0:22:38.400 --> 0:22:41.159
<v Speaker 2>about how these negotiations are moving toward that.

0:22:42.480 --> 0:22:44.399
<v Speaker 14>So we know that first of all, Microsoft is is

0:22:44.440 --> 0:22:47.800
<v Speaker 14>the biggest holdout to that re negotiation of open ai structure.

0:22:48.400 --> 0:22:50.840
<v Speaker 14>We know that open ai wants to alter it's it's

0:22:50.880 --> 0:22:53.200
<v Speaker 14>corporate charter. They want more flexibility, they want the ability

0:22:53.200 --> 0:22:55.000
<v Speaker 14>to raise a whole lot more money. And that's really

0:22:55.080 --> 0:22:57.640
<v Speaker 14>what's kind of ticking the clock here, particularly a bunch

0:22:57.680 --> 0:23:01.880
<v Speaker 14>of cash from SoftBank, the big investor, has the authority

0:23:01.920 --> 0:23:04.520
<v Speaker 14>to dial down some of that investment if opening Ey doesn't.

0:23:04.280 --> 0:23:05.880
<v Speaker 9>Complete the restructure before at the end of the year.

0:23:05.920 --> 0:23:07.600
<v Speaker 14>So it's just created this little bit of ticking clock

0:23:07.600 --> 0:23:09.880
<v Speaker 14>in the background, putting pressure on both sides to come.

0:23:09.880 --> 0:23:13.359
<v Speaker 3>Up with a deal and also revenue share. Right, Matt,

0:23:13.400 --> 0:23:16.479
<v Speaker 3>it feels as though open ai is realizing, well, how

0:23:16.560 --> 0:23:18.399
<v Speaker 3>much value they're adding and what's a little bit more

0:23:18.400 --> 0:23:18.680
<v Speaker 3>of it?

0:23:19.600 --> 0:23:20.000
<v Speaker 9>That's right.

0:23:20.000 --> 0:23:21.360
<v Speaker 14>I mean, if you want back the clock to twenty

0:23:21.440 --> 0:23:24.360
<v Speaker 14>nineteen when Microsoft first put cash in the open AI,

0:23:25.000 --> 0:23:27.359
<v Speaker 14>Microsoft got a really good deal on kind of a

0:23:27.359 --> 0:23:29.159
<v Speaker 14>flyer at this AI lab was going to be a

0:23:29.160 --> 0:23:31.439
<v Speaker 14>big deal. Roll the clock forward. Turns out there an

0:23:31.520 --> 0:23:34.119
<v Speaker 14>enormous deal and opening iye wants a bit more of

0:23:34.160 --> 0:23:34.880
<v Speaker 14>that pie for sure.

0:23:35.880 --> 0:23:38.280
<v Speaker 2>Bloomberg's Matt Day reporting with the rest of the AI

0:23:38.320 --> 0:23:40.720
<v Speaker 2>and infrastructure team really appreciate it, Thank you very much.

0:23:40.920 --> 0:23:44.359
<v Speaker 2>Just stick with Microsoft, which reports earnings tomorrow. Cashranging Global

0:23:44.400 --> 0:23:47.919
<v Speaker 2>Investment Research Managing Director the Goldman Sachs joins us. He

0:23:47.960 --> 0:23:50.840
<v Speaker 2>covers the software sector has a buy rating and a

0:23:50.880 --> 0:23:54.520
<v Speaker 2>five hundred and fifty dollars price target for Microsoft TV

0:23:54.680 --> 0:23:58.159
<v Speaker 2>time cash. But you heard the reporting there. When you

0:23:58.400 --> 0:24:02.320
<v Speaker 2>are covering Microsoft, one assumes you have to model in

0:24:02.359 --> 0:24:06.320
<v Speaker 2>this relationship with open AI, both the financial exposure but

0:24:06.440 --> 0:24:08.160
<v Speaker 2>the technology exposure as well.

0:24:08.680 --> 0:24:10.360
<v Speaker 4>What did you hear then and what do you make

0:24:10.359 --> 0:24:10.680
<v Speaker 4>of it?

0:24:10.760 --> 0:24:10.960
<v Speaker 9>Yeah?

0:24:11.320 --> 0:24:13.960
<v Speaker 15>So, first of all, congratulations on breaking that news story.

0:24:14.040 --> 0:24:17.720
<v Speaker 15>So that's incremental development. And we actually publish our note

0:24:18.119 --> 0:24:22.080
<v Speaker 15>later yesterday and we didn't cover the detailed reporting that

0:24:22.119 --> 0:24:24.679
<v Speaker 15>you guys did, so that certainly is a wrinkle, but

0:24:24.720 --> 0:24:26.879
<v Speaker 15>it does not change the overall thesis. Our view has

0:24:26.920 --> 0:24:30.800
<v Speaker 15>been that the partnership has more legs to it than

0:24:31.000 --> 0:24:33.760
<v Speaker 15>commonly believed in the media and in the Wall Street community.

0:24:34.080 --> 0:24:36.760
<v Speaker 15>There's a lot more to be gained on either side

0:24:36.840 --> 0:24:40.639
<v Speaker 15>of the fence beat access to technology from Microsoft's perspective,

0:24:40.840 --> 0:24:44.280
<v Speaker 15>or access to distribution and a work class customer base

0:24:44.320 --> 0:24:47.879
<v Speaker 15>at Microsoft brings and the ability to certainly not to

0:24:47.920 --> 0:24:51.240
<v Speaker 15>overemphasize the very common thing to train models.

0:24:50.920 --> 0:24:52.240
<v Speaker 9>And run on work cus infrastructure.

0:24:52.320 --> 0:24:56.360
<v Speaker 15>So I think if this word of progress to its

0:24:56.640 --> 0:24:58.960
<v Speaker 15>ultimate fruition that of the deal word we signed, it

0:24:59.000 --> 0:25:02.440
<v Speaker 15>would take away a at least an investor's perspective as

0:25:02.440 --> 0:25:04.480
<v Speaker 15>to what is the time duration that you can bank

0:25:04.520 --> 0:25:07.800
<v Speaker 15>and your model and what is the longevity of this partnership.

0:25:07.800 --> 0:25:10.240
<v Speaker 15>Because the AI revenues have come out of nowhere seemingly,

0:25:10.480 --> 0:25:14.760
<v Speaker 15>and I've scaled and helped Microsoft's Azzure business propel itself

0:25:14.760 --> 0:25:16.800
<v Speaker 15>to a not to thirty percent growth through which we

0:25:16.840 --> 0:25:19.840
<v Speaker 15>thought was unthinkable two years ago. So both parties have

0:25:20.080 --> 0:25:22.719
<v Speaker 15>so much to be gained to gain from this, and

0:25:22.760 --> 0:25:23.600
<v Speaker 15>I think it's incrementally.

0:25:23.880 --> 0:25:26.480
<v Speaker 2>Let me ask it this way, what has the biggest

0:25:26.520 --> 0:25:30.720
<v Speaker 2>net benefit to Microsoft been from the relationship with open Ai.

0:25:30.920 --> 0:25:34.479
<v Speaker 15>Yeah, many things. First of all, that they are tech forward,

0:25:34.720 --> 0:25:38.399
<v Speaker 15>and you could argue that in the cloud competing cycle

0:25:38.600 --> 0:25:41.760
<v Speaker 15>that they were not exactly the first ones out of

0:25:41.760 --> 0:25:44.080
<v Speaker 15>the gate, but in this AI cycle they are the

0:25:44.080 --> 0:25:45.960
<v Speaker 15>first ones out of the gate. And there's so much

0:25:46.040 --> 0:25:49.200
<v Speaker 15>of a cachet and boasting right that you have, especially

0:25:49.240 --> 0:25:52.880
<v Speaker 15>with Ceosatin Adela, who is a ranking cider of the company,

0:25:52.960 --> 0:25:55.119
<v Speaker 15>has been there for a long time. Being able to

0:25:55.119 --> 0:25:57.600
<v Speaker 15>pivot the company at the right time. That of enormous

0:25:57.640 --> 0:26:01.040
<v Speaker 15>strategic importance. Right from a financial perspective, what it has

0:26:01.040 --> 0:26:04.120
<v Speaker 15>allowed the company to do is, although it has required

0:26:04.160 --> 0:26:06.639
<v Speaker 15>a lot of capital build out of a scale that

0:26:06.680 --> 0:26:08.840
<v Speaker 15>the world has never seen so far in the technology

0:26:08.880 --> 0:26:11.800
<v Speaker 15>world and maybe in broader industry as well, it has

0:26:11.840 --> 0:26:16.879
<v Speaker 15>allowed the Azure business to grow at scale. So depending

0:26:16.960 --> 0:26:18.760
<v Speaker 15>on whose numbers you look at, we're roughly close to

0:26:18.800 --> 0:26:21.400
<v Speaker 15>an eighty billion dollar run rate for the Azure business.

0:26:21.880 --> 0:26:24.439
<v Speaker 15>And AI has helped keep that growth rate steadily in

0:26:24.440 --> 0:26:26.719
<v Speaker 15>the thirty plus percent range, and if we get an

0:26:26.720 --> 0:26:31.760
<v Speaker 15>inflection point with respect to AI moving up from golden sacks.

0:26:31.760 --> 0:26:34.840
<v Speaker 15>We have this thing that AI is stuck at the

0:26:34.880 --> 0:26:37.800
<v Speaker 15>infrastructure layer. For every computing cycle. You need to move

0:26:37.840 --> 0:26:40.560
<v Speaker 15>to the platform and applications. When you make the progression,

0:26:40.880 --> 0:26:43.080
<v Speaker 15>you see monumental shifts that are happening in the market.

0:26:43.200 --> 0:26:44.679
<v Speaker 9>So that's all to myself's benefit.

0:26:45.240 --> 0:26:48.600
<v Speaker 3>The eighty billion run rate for Azure comes in tandem

0:26:48.640 --> 0:26:51.080
<v Speaker 3>cash with a more than eighty billion dollar need to

0:26:51.119 --> 0:26:55.159
<v Speaker 3>spend on capital expenditure. Is that currently totally vindicated in

0:26:55.200 --> 0:26:57.000
<v Speaker 3>your mind? Zyme when we see it increase.

0:26:58.280 --> 0:27:00.960
<v Speaker 15>It's a dollar for dollar right of capis gives you

0:27:01.000 --> 0:27:03.159
<v Speaker 15>a dollar of AS revenues roughly give or take, and

0:27:03.200 --> 0:27:06.600
<v Speaker 15>there's within that there is a slightly more inefficient conversion

0:27:06.600 --> 0:27:09.000
<v Speaker 15>of the dollar of capis into AI revenue and slightly

0:27:09.119 --> 0:27:12.920
<v Speaker 15>more efficient conversion. So we think that it is the

0:27:13.040 --> 0:27:15.439
<v Speaker 15>right trade off at this point in time. And the

0:27:15.520 --> 0:27:17.879
<v Speaker 15>good news of your Microsoft is that you're running a

0:27:17.960 --> 0:27:22.639
<v Speaker 15>very diversified business that all the capex is not extremely

0:27:22.920 --> 0:27:24.760
<v Speaker 15>punitive to your free cash flowers. I mean, you could

0:27:24.840 --> 0:27:27.160
<v Speaker 15>run a model where you're not generating any free cashlodob

0:27:27.280 --> 0:27:30.840
<v Speaker 15>that's not Microsoft's things, so they do generate a pretty

0:27:30.880 --> 0:27:34.080
<v Speaker 15>meaningful significant free capital margin because of the health of

0:27:34.080 --> 0:27:37.520
<v Speaker 15>the overall business. You've got to look at Microsoft not

0:27:37.600 --> 0:27:39.800
<v Speaker 15>just in the context of Azure, but there is a

0:27:39.920 --> 0:27:43.320
<v Speaker 15>broader Microsoft Cloud business which has the M three sixty five,

0:27:43.680 --> 0:27:46.800
<v Speaker 15>and then you have the server on premises business and

0:27:46.960 --> 0:27:50.639
<v Speaker 15>a couple of other businesses that are equally significant in

0:27:50.720 --> 0:27:54.679
<v Speaker 15>terms of revenue scope and significant drivers are profitable, so

0:27:54.680 --> 0:27:56.639
<v Speaker 15>they've got the ability to generate the cash to be

0:27:56.680 --> 0:27:57.840
<v Speaker 15>able to fund this capex.

0:27:58.200 --> 0:27:59.680
<v Speaker 9>That's a very important consideration.

0:28:00.040 --> 0:28:02.320
<v Speaker 15>Long as the returns keep coming and you're able to

0:28:02.359 --> 0:28:05.040
<v Speaker 15>generate a dollar of revenue for every dollar of capiss,

0:28:05.320 --> 0:28:08.440
<v Speaker 15>as long as that algorithm, broadly speaking, holes, I think

0:28:08.440 --> 0:28:09.800
<v Speaker 15>it's the right trade off for the company.

0:28:10.480 --> 0:28:13.359
<v Speaker 3>There have been concerns though, surrounding Microsoft, whether or not

0:28:13.359 --> 0:28:16.800
<v Speaker 3>it's just how great the product is to use when

0:28:16.840 --> 0:28:21.040
<v Speaker 3>you're sat within its ecosystem, but also the cyber issues

0:28:21.080 --> 0:28:23.919
<v Speaker 3>that we've seen running front and center this month cash

0:28:24.040 --> 0:28:26.120
<v Speaker 3>how much do you expect Satia to really talk.

0:28:25.960 --> 0:28:26.720
<v Speaker 9>To those issues.

0:28:27.440 --> 0:28:30.440
<v Speaker 15>I believe that there is a bit of a lag

0:28:30.560 --> 0:28:34.879
<v Speaker 15>between the actual chat GPT technology that is open a

0:28:34.920 --> 0:28:37.760
<v Speaker 15>I brought, broadly speaking technology and how much of that

0:28:38.120 --> 0:28:41.400
<v Speaker 15>gets incorporated in the Microsoft Office Copilot, and I believe

0:28:41.400 --> 0:28:43.240
<v Speaker 15>that that lag is likely to reduce over a period

0:28:43.240 --> 0:28:47.680
<v Speaker 15>of time. And we're also implementing consumer grade technology in

0:28:47.720 --> 0:28:50.320
<v Speaker 15>the enterprise. I mean, that is a completely different piece.

0:28:50.360 --> 0:28:53.400
<v Speaker 15>So I'm not surprised to hear what you've heard with

0:28:53.520 --> 0:28:57.160
<v Speaker 15>respective where the product is relative to enterprise expectations. And

0:28:57.160 --> 0:29:00.480
<v Speaker 15>I would argue that the product is I use it personally, Goldman,

0:29:00.560 --> 0:29:02.960
<v Speaker 15>and it's come a long way since about six months

0:29:03.040 --> 0:29:05.760
<v Speaker 15>nine months ago, and it's likely to go a long.

0:29:05.560 --> 0:29:06.400
<v Speaker 6>Way in the future.

0:29:08.840 --> 0:29:11.280
<v Speaker 15>That version of co pilot that we used today is

0:29:11.320 --> 0:29:14.720
<v Speaker 15>going to go through significant enhancements liberally to customize it

0:29:14.800 --> 0:29:17.240
<v Speaker 15>tailor at your workflows. Oh, that's going to get significantly better.

0:29:17.240 --> 0:29:18.560
<v Speaker 15>So the buzz is going to get better.

0:29:18.880 --> 0:29:21.040
<v Speaker 2>One thing I've always wanted to ask you cash is

0:29:21.640 --> 0:29:24.680
<v Speaker 2>present day, middle of twenty twenty five, Microsoft is the

0:29:24.720 --> 0:29:27.840
<v Speaker 2>world's second most valuable company. Right, And if I think

0:29:27.880 --> 0:29:30.840
<v Speaker 2>back to when I arrived in Silicon Valley in twenty eighteen,

0:29:30.840 --> 0:29:33.520
<v Speaker 2>but even two years ago, did you see that coming

0:29:33.920 --> 0:29:37.160
<v Speaker 2>where Microsoft would vie with Nvidia to be the most

0:29:37.240 --> 0:29:40.239
<v Speaker 2>valuable company in the world based on the direction it

0:29:40.280 --> 0:29:42.960
<v Speaker 2>was headed pre open AI and all of that.

0:29:43.480 --> 0:29:46.360
<v Speaker 15>So when I launched coverage at Goldman in twenty twenty one,

0:29:46.560 --> 0:29:49.280
<v Speaker 15>we had a big price target on Microsoft, and the

0:29:49.360 --> 0:29:52.200
<v Speaker 15>pushback that we got was, you're implying that the market

0:29:52.200 --> 0:29:54.720
<v Speaker 15>cap can grow by another half a trillion. Two it's

0:29:54.760 --> 0:29:57.000
<v Speaker 15>already a multi trillion dollar market or what was And

0:29:57.000 --> 0:29:58.640
<v Speaker 15>I think it was a couple of tillion. Yeah, And

0:29:58.720 --> 0:30:00.240
<v Speaker 15>I think what it comes down to is, if you

0:30:00.360 --> 0:30:02.760
<v Speaker 15>unlock a big tech cycle, the dollars at stake and

0:30:02.840 --> 0:30:04.880
<v Speaker 15>every tech cycle are larger and larger.

0:30:04.880 --> 0:30:05.600
<v Speaker 6>And if you are.

0:30:05.640 --> 0:30:08.240
<v Speaker 15>Leading this cycle as opposed to being a fast.

0:30:08.040 --> 0:30:10.840
<v Speaker 4>Follower, who is to say what the new market?

0:30:10.880 --> 0:30:13.360
<v Speaker 15>Nobody envisioned this kind of playing out the way it

0:30:13.400 --> 0:30:16.040
<v Speaker 15>did so, and we're still early in AI. So if

0:30:16.080 --> 0:30:17.960
<v Speaker 15>you listen to the economist, they're talking about how the

0:30:18.000 --> 0:30:21.400
<v Speaker 15>labor market could be incorporated by way of AI. If

0:30:21.400 --> 0:30:23.680
<v Speaker 15>that were to happen, you got a lot more value

0:30:23.680 --> 0:30:26.800
<v Speaker 15>creation along the way. So I'm not I'm pleasantly surprised

0:30:26.840 --> 0:30:29.360
<v Speaker 15>about how quickly it has happened, but I was just

0:30:29.640 --> 0:30:33.000
<v Speaker 15>remarking earlier that Microsoft stock has actually performed in line

0:30:33.000 --> 0:30:35.840
<v Speaker 15>with the nastac finally, since the launch of Chat GPT.

0:30:36.240 --> 0:30:38.440
<v Speaker 15>For a while, it was lagging, and I kept telling myself,

0:30:38.480 --> 0:30:40.320
<v Speaker 15>this is the company that facilitated the birth of this

0:30:40.400 --> 0:30:42.600
<v Speaker 15>AI revolution a long with Nvidia and Open Ai, and

0:30:42.640 --> 0:30:43.640
<v Speaker 15>their stock is lagging.

0:30:43.640 --> 0:30:44.800
<v Speaker 6>It doesn't make any sense right now.

0:30:44.880 --> 0:30:48.320
<v Speaker 15>Finally we're just about even, Sophie vindication.

0:30:48.200 --> 0:30:51.360
<v Speaker 2>Yashraan and Managing Director of Global Investment Research at Goldman's

0:30:51.400 --> 0:30:53.160
<v Speaker 2>has great to have you here on Bloomberg Tech.

0:30:53.400 --> 0:30:54.960
<v Speaker 4>Thank you very much. Carry some news.

0:30:55.160 --> 0:30:57.480
<v Speaker 3>Yeah, it's time to talking tech now and first up,

0:30:57.680 --> 0:31:02.000
<v Speaker 3>door Dash spotifflies Global of Advertising Lee Brown will join

0:31:02.040 --> 0:31:04.640
<v Speaker 3>the food delivery company as chief revenue Officer starting in

0:31:04.720 --> 0:31:05.240
<v Speaker 3>late August.

0:31:05.520 --> 0:31:05.680
<v Speaker 13>Now.

0:31:05.720 --> 0:31:09.360
<v Speaker 3>Brown previously led Spotify's two billion dollar ad business across

0:31:09.480 --> 0:31:12.320
<v Speaker 3>ninety international markets and is set to oversee door Dash's

0:31:12.360 --> 0:31:14.760
<v Speaker 3>revenue in the US, Canada, Australia and New Zealand.

0:31:15.200 --> 0:31:16.680
<v Speaker 5>Whilst Weimo is set to.

0:31:16.720 --> 0:31:19.560
<v Speaker 3>Launch its robo taxi service in Dallas next year in

0:31:19.600 --> 0:31:22.720
<v Speaker 3>a partnership with rental cil company Avis. Now Weiver says

0:31:22.720 --> 0:31:26.440
<v Speaker 3>Avis will serve as a pleat fleet partner providing infrastructure, maintenance,

0:31:26.480 --> 0:31:27.680
<v Speaker 3>car management operations.

0:31:27.920 --> 0:31:28.920
<v Speaker 4>The Dallas Deel.

0:31:28.840 --> 0:31:31.800
<v Speaker 3>Marks a multi year partnership that Waimo and Avis plan

0:31:31.920 --> 0:31:35.800
<v Speaker 3>to expand into more cities over time and venture debt

0:31:35.880 --> 0:31:38.680
<v Speaker 3>firm to Cora, Hare's raised six hundred eighty five million

0:31:38.720 --> 0:31:40.640
<v Speaker 3>dollars with the backings from the likes of Peter Teel

0:31:40.680 --> 0:31:43.760
<v Speaker 3>and Marc Andreesen. Now, according to CEO Kerry Finley, the

0:31:43.840 --> 0:31:46.280
<v Speaker 3>money will be used to make loans to about twenty

0:31:46.440 --> 0:31:50.040
<v Speaker 3>to thirty million dollars to startups. Now, the latest investment

0:31:50.040 --> 0:31:52.440
<v Speaker 3>brings the firm's assets and management to about one point

0:31:52.440 --> 0:31:53.640
<v Speaker 3>four billion dollar zed.

0:31:55.000 --> 0:31:55.760
<v Speaker 4>Okay, coming up.

0:31:55.800 --> 0:31:59.320
<v Speaker 2>So FI CEO Anthony Noto joins us to discuss the company's.

0:31:58.920 --> 0:31:59.920
<v Speaker 4>Second quarter result.

0:32:00.240 --> 0:32:03.360
<v Speaker 2>An upbeat forecast and my goodness to shares already taking

0:32:03.400 --> 0:32:04.360
<v Speaker 2>off this Tuesday.

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<v Speaker 4>Stay with us.

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<v Speaker 16>This is Bloomberg Tech shares are so far climbing off.

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<v Speaker 2>The company reported second quarter revenue seventy two percent EU

0:32:22.680 --> 0:32:26.160
<v Speaker 2>of year jump in fee based revenues. Let's discuss with

0:32:26.240 --> 0:32:29.080
<v Speaker 2>the man in charge, SOFI CEO Anthony Noto. You know

0:32:29.120 --> 0:32:31.360
<v Speaker 2>the SOFI story, Anthony, has become kind of simple. You've

0:32:31.440 --> 0:32:34.880
<v Speaker 2>kind of invested in fee based business lines, many of

0:32:34.920 --> 0:32:37.960
<v Speaker 2>them they've been consistent. But now what the market seems

0:32:38.000 --> 0:32:40.800
<v Speaker 2>to be seeing is that flowing through to the bottom

0:32:40.840 --> 0:32:43.440
<v Speaker 2>line as well. Would you just explain how that went

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<v Speaker 2>in the quarter.

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<v Speaker 17>Sure, we've made the conscious effort of diverse fire or

0:32:48.800 --> 0:32:52.560
<v Speaker 17>business into these capital light, less credit risk a few

0:32:52.600 --> 0:32:55.280
<v Speaker 17>revenue streams, one of which is our long platform business

0:32:55.320 --> 0:32:58.560
<v Speaker 17>where people pay us to use our originations platform, which

0:32:58.600 --> 0:33:02.720
<v Speaker 17>includes our underwriting capability, our marketing capabilities, and our servicing

0:33:02.720 --> 0:33:04.800
<v Speaker 17>capabilities to produce loans for them.

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<v Speaker 6>For a fee that they pay us.

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<v Speaker 17>We also generate fees in our SOFI money account business

0:33:10.000 --> 0:33:12.880
<v Speaker 17>through interchange, as well as our brokerage business, and then

0:33:12.920 --> 0:33:15.600
<v Speaker 17>of course our credit card businesses. And so as we've

0:33:15.600 --> 0:33:18.720
<v Speaker 17>diversified the products that we offer, the revenue streams have

0:33:18.720 --> 0:33:21.880
<v Speaker 17>also diversified. We're about forty four percent of our revenue

0:33:21.880 --> 0:33:24.960
<v Speaker 17>outcomes from these fees that are generated without use of

0:33:25.000 --> 0:33:27.080
<v Speaker 17>capital and without credit risk, and so.

0:33:27.080 --> 0:33:28.880
<v Speaker 6>That deversks the balance sheet quite a bit.

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<v Speaker 17>So our ability to grow their overall business forty four

0:33:31.720 --> 0:33:35.680
<v Speaker 17>percent with a twenty nine percent operating margin is reflective

0:33:35.760 --> 0:33:39.800
<v Speaker 17>of that diversification and less risky revenue that's more visible

0:33:39.840 --> 0:33:40.320
<v Speaker 17>as well.

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<v Speaker 2>Anthony, you just talked about de risking. Elsewhere in the

0:33:45.280 --> 0:33:49.080
<v Speaker 2>earnings domain, PayPal was asked about the strength of the

0:33:49.200 --> 0:33:54.360
<v Speaker 2>US consumer and comments from that company with somewhat negative

0:33:54.400 --> 0:33:57.240
<v Speaker 2>that they see some sort of cracks in the strength

0:33:57.280 --> 0:34:00.720
<v Speaker 2>of the consumer from those that use your platfor your

0:34:00.800 --> 0:34:02.120
<v Speaker 2>various financial offerings.

0:34:02.120 --> 0:34:03.720
<v Speaker 4>What are you seeing present day?

0:34:04.560 --> 0:34:07.320
<v Speaker 17>Yeah, they have a very different strategy and business than us,

0:34:07.320 --> 0:34:10.560
<v Speaker 17>and a very different target audience. We're appealing to the

0:34:10.640 --> 0:34:13.600
<v Speaker 17>overachievers in the United States that are looking for ways

0:34:14.200 --> 0:34:16.920
<v Speaker 17>to be able to save, to achieve, and invest to

0:34:16.960 --> 0:34:20.319
<v Speaker 17>achieve their long term ambitions, whatever their American dream may be.

0:34:20.400 --> 0:34:23.160
<v Speaker 17>So we're helping them spend less than they make and

0:34:23.200 --> 0:34:26.319
<v Speaker 17>invest the rest, and we're seeing really strong trends for them.

0:34:26.520 --> 0:34:29.200
<v Speaker 17>We see them loaning their cost of debt by refinancing

0:34:29.440 --> 0:34:33.439
<v Speaker 17>out of expensive credit card debt that charges twenty four

0:34:33.520 --> 0:34:36.640
<v Speaker 17>to thirty percent interest into our loans that only charge

0:34:36.680 --> 0:34:37.960
<v Speaker 17>twelve to thirty percent interest.

0:34:38.320 --> 0:34:41.120
<v Speaker 6>We see them moving their money into SOFI money. We

0:34:41.160 --> 0:34:42.080
<v Speaker 6>give three point.

0:34:41.840 --> 0:34:44.920
<v Speaker 17>Eight percent interest on our savings account in SOFI money

0:34:45.080 --> 0:34:47.400
<v Speaker 17>with it if you're a direct deposit customer or a

0:34:47.400 --> 0:34:51.080
<v Speaker 17>SOFI plus customer, we offer them investment opportunities that are

0:34:51.120 --> 0:34:56.160
<v Speaker 17>really attractive. We offer stocks without commissions, fractional shares, we

0:34:56.239 --> 0:34:59.040
<v Speaker 17>have sofi ets that are award winning as well as

0:34:59.120 --> 0:35:02.560
<v Speaker 17>robo accounts. But we also offer IPOs in addition to that,

0:35:02.760 --> 0:35:06.160
<v Speaker 17>private equity, so you can invest in private credit, private

0:35:06.200 --> 0:35:10.000
<v Speaker 17>real estate, venture capital funds as well as long short

0:35:10.560 --> 0:35:14.400
<v Speaker 17>public hedge funds and then finally private growth, growth equity

0:35:14.480 --> 0:35:19.640
<v Speaker 17>capabilities and so much more diverse business are consumers very strong, credits,

0:35:19.680 --> 0:35:23.600
<v Speaker 17>performing very well, continues improved spending through SOFI money is

0:35:23.640 --> 0:35:26.799
<v Speaker 17>also very strong. So we're seeing a consumer that's really

0:35:26.800 --> 0:35:30.040
<v Speaker 17>trying to lower their costs and spend less than they

0:35:30.120 --> 0:35:32.400
<v Speaker 17>make and invest the rest and the flywheel is really working.

0:35:32.920 --> 0:35:33.160
<v Speaker 5>Avan.

0:35:33.280 --> 0:35:36.120
<v Speaker 3>It's interesting that that flywheel comes at the same time

0:35:36.520 --> 0:35:38.560
<v Speaker 3>as basically the market's got a flywheel of its own

0:35:38.600 --> 0:35:42.480
<v Speaker 3>and seeing froth in certain sectors, Retail investors really wanted

0:35:42.520 --> 0:35:45.480
<v Speaker 3>to get in on the latest meme stock as well

0:35:45.520 --> 0:35:48.239
<v Speaker 3>as ipo. How are you thinking about general to AI,

0:35:48.400 --> 0:35:50.160
<v Speaker 3>like helping with the education side of things. I know

0:35:50.160 --> 0:35:52.799
<v Speaker 3>you're targeting over achievers, but are they diversified enough in

0:35:52.800 --> 0:35:53.680
<v Speaker 3>their own investments?

0:35:54.400 --> 0:35:54.640
<v Speaker 9>Sure?

0:35:54.640 --> 0:35:56.480
<v Speaker 17>And let me take your question and talk about what

0:35:56.600 --> 0:36:01.480
<v Speaker 17>I think are two technology supercycles that are unprecedented. We're

0:36:01.560 --> 0:36:03.480
<v Speaker 17>driving the growth that we are over the last eight

0:36:03.560 --> 0:36:05.720
<v Speaker 17>years without the benefit of crypto.

0:36:05.440 --> 0:36:09.080
<v Speaker 4>Or blockchain or AI, but I think the combination.

0:36:08.680 --> 0:36:12.839
<v Speaker 17>Of blockchain and crypto as well as AI are two

0:36:12.880 --> 0:36:15.160
<v Speaker 17>super cycles that will put a tail wind behind our

0:36:15.200 --> 0:36:19.040
<v Speaker 17>company and really help us really revolutionize the financial services

0:36:19.080 --> 0:36:22.640
<v Speaker 17>industry in ways that continue to give people faster ways

0:36:22.680 --> 0:36:25.920
<v Speaker 17>to send money at lower costs and to do it safer.

0:36:26.200 --> 0:36:26.920
<v Speaker 6>In addition to.

0:36:26.880 --> 0:36:29.520
<v Speaker 17>Being able to invest in this asset class, which does

0:36:29.640 --> 0:36:32.239
<v Speaker 17>help as it relates to the areas outside of the

0:36:32.239 --> 0:36:35.400
<v Speaker 17>country that may not have exposure to the US dollar

0:36:35.480 --> 0:36:38.040
<v Speaker 17>and its stability. In addition to be able to invest

0:36:38.080 --> 0:36:40.640
<v Speaker 17>in that asset, will allow people to borrow against that asset,

0:36:40.640 --> 0:36:43.280
<v Speaker 17>which will lower their cost of funding and in addition

0:36:43.320 --> 0:36:45.399
<v Speaker 17>to that will allow them to be able to pay

0:36:45.480 --> 0:36:51.000
<v Speaker 17>across borders more easily and quicker. Artificial intelligence is helping

0:36:51.040 --> 0:36:54.080
<v Speaker 17>us today across our entire business. We're using in the

0:36:54.160 --> 0:37:00.800
<v Speaker 17>back office to resolve disputes faster, to file suspecify reports,

0:37:01.120 --> 0:37:05.120
<v Speaker 17>to solve account takeover issues faster. On the consumer side,

0:37:05.120 --> 0:37:08.160
<v Speaker 17>we're offering something called cash Coach, which is the ability

0:37:08.200 --> 0:37:10.520
<v Speaker 17>to look at your cash crossed all your accounts. So

0:37:10.520 --> 0:37:13.239
<v Speaker 17>it's really that's not impacting our results yet. It's on

0:37:13.280 --> 0:37:16.680
<v Speaker 17>the com but they're both really exciting super cycles to

0:37:16.719 --> 0:37:17.520
<v Speaker 17>see the benefits.

0:37:17.520 --> 0:37:21.719
<v Speaker 2>From Anthony Nodo, CEO of sci Fi A Sofi, thank

0:37:21.760 --> 0:37:23.360
<v Speaker 2>you very much joining us. We actually has some breaking

0:37:23.400 --> 0:37:26.280
<v Speaker 2>news crossing the Bloomberg terminal and it comes from China's

0:37:26.280 --> 0:37:29.680
<v Speaker 2>trade envoy Lee Chengyang. He's talking about the progress of

0:37:29.719 --> 0:37:32.080
<v Speaker 2>talks in Stockholm. He says that the US and China

0:37:32.320 --> 0:37:35.520
<v Speaker 2>have agreed to extend the trade truce. They have exchanged

0:37:35.600 --> 0:37:38.880
<v Speaker 2>views on various macro economic issues, They agree on the

0:37:38.880 --> 0:37:42.640
<v Speaker 2>importance of safeguarding soald trade, and that the talks have

0:37:42.719 --> 0:37:45.839
<v Speaker 2>been constructive on major topics. The main headline I think

0:37:46.080 --> 0:37:48.120
<v Speaker 2>right Carra, is that they have agreed to extend the

0:37:48.160 --> 0:37:51.520
<v Speaker 2>trade truce and that the talks between the China, between

0:37:51.640 --> 0:37:55.120
<v Speaker 2>China and US negotiators currently in Stockholm will continue. In

0:37:55.200 --> 0:37:57.920
<v Speaker 2>what Lee calls close communication.

0:38:03.280 --> 0:38:07.880
<v Speaker 3>Meta set to report earnings after the closing bell on Wednesday.

0:38:07.880 --> 0:38:10.200
<v Speaker 3>I believe it is with investors closely watching its AI

0:38:10.280 --> 0:38:13.000
<v Speaker 3>investments for more Blue megs, Kurt Wagner joins us, Look,

0:38:13.000 --> 0:38:15.799
<v Speaker 3>we've got some big ends to think about more broadly, Kurt,

0:38:15.880 --> 0:38:18.160
<v Speaker 3>and I'm interested as to where we go in terms

0:38:18.200 --> 0:38:20.879
<v Speaker 3>of the spending that everyone's looking at is about talent,

0:38:20.920 --> 0:38:21.680
<v Speaker 3>it's about capex.

0:38:21.680 --> 0:38:22.400
<v Speaker 5>Will it be raised?

0:38:23.120 --> 0:38:25.840
<v Speaker 18>I think that's the speculation, is that, especially once you

0:38:25.880 --> 0:38:28.800
<v Speaker 18>saw what Google did last week raising their capital expenditure

0:38:28.840 --> 0:38:31.840
<v Speaker 18>target for the year, I think there's some assumption that

0:38:32.120 --> 0:38:34.480
<v Speaker 18>Meta might do the same, given the scale a ideal

0:38:34.480 --> 0:38:36.759
<v Speaker 18>and all this very expensive hiring they're doing on the

0:38:36.760 --> 0:38:37.440
<v Speaker 18>AI front.

0:38:37.840 --> 0:38:40.280
<v Speaker 6>Now, remember they already raised.

0:38:40.000 --> 0:38:43.920
<v Speaker 18>The range for their capex last quarter as well, So

0:38:43.960 --> 0:38:46.160
<v Speaker 18>there was a different number in January, a different number

0:38:46.200 --> 0:38:48.279
<v Speaker 18>in April, and now we'll be watching tomorrow to see

0:38:48.320 --> 0:38:50.759
<v Speaker 18>if there's another new number. But given the spending AI,

0:38:50.880 --> 0:38:52.840
<v Speaker 18>I would not be surprised if they go that route.

0:38:53.520 --> 0:38:56.960
<v Speaker 2>And yet we're always reminded every quarter that Meta makes

0:38:57.000 --> 0:39:00.800
<v Speaker 2>all its money from advertising, and so there's AI story

0:39:00.800 --> 0:39:04.520
<v Speaker 2>where adds a better price more powerfully, and then there's like,

0:39:04.680 --> 0:39:06.160
<v Speaker 2>is all this investment going to pay off?

0:39:06.200 --> 0:39:07.400
<v Speaker 4>What is the street expecting?

0:39:08.040 --> 0:39:08.200
<v Speaker 9>Well?

0:39:08.239 --> 0:39:10.120
<v Speaker 18>I think the good news for them now is that

0:39:10.200 --> 0:39:14.759
<v Speaker 18>the AI story they're telling today feels more urgent and

0:39:14.920 --> 0:39:17.520
<v Speaker 18>more timely, I think than the one they've been telling

0:39:17.560 --> 0:39:19.480
<v Speaker 18>for the last year or two, which was related to

0:39:19.520 --> 0:39:23.040
<v Speaker 18>like the metaverse, and so here now they're talking about chatbots,

0:39:23.040 --> 0:39:26.680
<v Speaker 18>they're talking about LMS, data centers, like things that people

0:39:26.680 --> 0:39:29.240
<v Speaker 18>I think have a better understanding of what the potential

0:39:29.280 --> 0:39:29.880
<v Speaker 18>outcome is.

0:39:30.280 --> 0:39:31.840
<v Speaker 6>The metaverse was always ed.

0:39:31.920 --> 0:39:34.279
<v Speaker 18>You will remember that the main thing that they were

0:39:34.280 --> 0:39:37.960
<v Speaker 18>sinking all of this money into, and there was no real, you.

0:39:37.920 --> 0:39:39.840
<v Speaker 6>Know, end insight to that.

0:39:39.960 --> 0:39:42.279
<v Speaker 18>Now I don't think there's an end insight to AI either,

0:39:43.000 --> 0:39:44.920
<v Speaker 18>but at least I think they're doing something that a

0:39:44.920 --> 0:39:46.000
<v Speaker 18>bunch of other companies are doing.

0:39:46.040 --> 0:39:48.359
<v Speaker 6>It's a little easier perhaps to wrap your head around.

0:39:48.640 --> 0:39:51.239
<v Speaker 2>Blue Vers Kurt Wagner looking forward to meta after the

0:39:51.239 --> 0:39:54.239
<v Speaker 2>bell tomorrow. Thank you very much, Caro. That does it

0:39:54.239 --> 0:39:56.040
<v Speaker 2>for this additional Bloomberg Tech. But we had some big

0:39:56.080 --> 0:39:57.920
<v Speaker 2>breaking news in the last few moments.

0:39:57.960 --> 0:39:59.920
<v Speaker 3>We did, and it's so important to the tech eCos

0:40:00.400 --> 0:40:03.840
<v Speaker 3>and more broadly the world economy. We're looking at China

0:40:03.880 --> 0:40:06.000
<v Speaker 3>saying it does indeed agree with the United States to

0:40:06.040 --> 0:40:08.600
<v Speaker 3>extend that tariff truce. Remember it was likely to expire

0:40:08.960 --> 0:40:12.080
<v Speaker 3>in mid August as to where currently tariff's had been

0:40:12.120 --> 0:40:13.960
<v Speaker 3>set at about the thirty percent level.

0:40:14.239 --> 0:40:17.279
<v Speaker 2>We are going to read the language very carefully. All

0:40:17.320 --> 0:40:21.640
<v Speaker 2>those experts on wording China and US talks with candid

0:40:21.840 --> 0:40:25.279
<v Speaker 2>says Lee chain Gang candid good thing or bad thing?

0:40:25.400 --> 0:40:27.600
<v Speaker 4>The markets will tell us in due course caract.

0:40:27.400 --> 0:40:29.600
<v Speaker 3>And what does it mean for semiconductors? What does it

0:40:29.640 --> 0:40:31.560
<v Speaker 3>mean for the flow of rare earth metals? Do not

0:40:31.640 --> 0:40:33.520
<v Speaker 3>forget to check out our podcast. You can find it

0:40:33.560 --> 0:40:36.319
<v Speaker 3>on the Terminal soll As, online on Apple, Spotify, and

0:40:36.400 --> 0:40:38.440
<v Speaker 3>iHeart from New York from San Francisco.

0:40:39.160 --> 0:40:40.120
<v Speaker 5>This is Bloomberg Tech