WEBVTT - China Tech In Bear Market, Google's Chrome Future

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<v Speaker 1>From Mahart where Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>ed Luod.

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<v Speaker 2>Love live from New York. This is Blue Meg Technology

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<v Speaker 2>coming up. Chinese tech stocks enter a bear market by

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<v Speaker 2>do PDD under pressure following earnings results.

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<v Speaker 3>Meanwhile, Amazon boosts its stake in Anthropic investing another four

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<v Speaker 3>billion dollars in the open AI arrival, and the CEO

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<v Speaker 3>of Binance discusses bitcoin near one hundred thousand dollars and

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<v Speaker 3>the impact of a Trump White House.

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<v Speaker 4>At first we check.

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<v Speaker 2>On these markets that a little bit of just caution

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<v Speaker 2>and sensitive training. On the last day of the week,

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<v Speaker 2>we're up a tenth of a percent in fact, and

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<v Speaker 2>that's that one hundred is at one point eight percent

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<v Speaker 2>for the last five training days, making up some of

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<v Speaker 2>last week's sell off. And more broadly, we are up

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<v Speaker 2>for the month of November. We're looking at the Golden

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<v Speaker 2>Dragon over in China. We've seen the trade be on

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<v Speaker 2>the downward trajectory, in particular the Hangsting for example, being

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<v Speaker 2>sold off. And I'm looking at the tech focused US

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<v Speaker 2>ETFs and other areas that you can really track how

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<v Speaker 2>Chinese ets, Chinese tech names are doing. And when you

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<v Speaker 2>look at the NaSTA Golden Dragon here, we're off by

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<v Speaker 2>one point eight percent. We want to dig into what's

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<v Speaker 2>the anxiety that's growing in this particular index. Now, technically

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<v Speaker 2>in the bear market, we've got Baidu, you've got PDD

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<v Speaker 2>for example, really on the lower side due to their

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<v Speaker 2>earnings weakness. They sold off in trading in China. We're

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<v Speaker 2>off by two point six percent. As you see on

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<v Speaker 2>the US ADRs. These are both US ADRs PDD as well,

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<v Speaker 2>off by five percent.

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<v Speaker 4>All of this as we see the PDD.

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<v Speaker 2>For example, pledging to keep investing amid rising competition in

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<v Speaker 2>home and abroad. But it's competition and indeed a Chinese

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<v Speaker 2>economy that continues to weaken. We go out to Henry Wren,

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<v Speaker 2>who's based in London, just talk us through what seems

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<v Speaker 2>to be ever mounting pressure on Chinese tech names.

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<v Speaker 5>Yeah, so we can start from Baydo and the nation's

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<v Speaker 5>biggest search engine operator. And clearly a tough quarter for

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<v Speaker 5>by Do because we saw the revenue declined by three

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<v Speaker 5>percent in a quarter, which was the weakest growth place

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<v Speaker 5>that by the I seen in more than two years.

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<v Speaker 5>And that weakness was clearly driven by its core business

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<v Speaker 5>of online advertising and marketing. That part declined revenue by

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<v Speaker 5>five percent in a quarter, and CEO Robin Lee on

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<v Speaker 5>the earning statement said that the macro has been weak,

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<v Speaker 5>while CFO on earnings call acknowledged that despite paging stimulus

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<v Speaker 5>measures in late September, consumers are still cautious and advertisers

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<v Speaker 5>spending are still subdued. There are still silver lining though

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<v Speaker 5>AI business. AI and cloud business is still growing revenue

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<v Speaker 5>by double digit but there are some concerns on monetization

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<v Speaker 5>as well, because those AI driven search query are monetized

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<v Speaker 5>at a lower rate and that compare with general queries.

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<v Speaker 5>And competition is of course stepping up with other platforms

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<v Speaker 5>such as short form video platforms like Going and Quite

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<v Speaker 5>show gaining more user attention as well.

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<v Speaker 2>Let's just talk about the competition also for PDD as well,

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<v Speaker 2>and look both of these companies. PDD in particular has

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<v Speaker 2>been trying to make inroads into a US consumer. What

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<v Speaker 2>seems to also be depressing some of these Chinese names

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<v Speaker 2>is the fact that perhaps US investors are going to

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<v Speaker 2>be less likely to be able to access these sorts

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<v Speaker 2>of investments you just look at what's happening with the

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<v Speaker 2>governor of Texas trying to limit that at the moment,

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<v Speaker 2>that seems to a center shiver Daana spine.

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<v Speaker 5>Yeah, that indeed hit investor sentiment again for today's trading.

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<v Speaker 5>As to PDD, the competition is stepping up. We're talking

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<v Speaker 5>about domestic business in terms of JD and Ali Ababa

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<v Speaker 5>keeps on investing as well, but also overseas for a

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<v Speaker 5>team move because Amazon is stepping up its game as well.

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<v Speaker 5>So on pdd's earnings call, the company set again for

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<v Speaker 5>the second quarter in a role that in the to

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<v Speaker 5>step up investments to keep up its game versus competitors.

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<v Speaker 4>And we have been seeing this in the.

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<v Speaker 5>Results as well, because its margins has been trending downwards

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<v Speaker 5>again for this quarter and the company needs to reimburse

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<v Speaker 5>more in terms of its merchants, giving merchants more perbs,

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<v Speaker 5>reimburse merchants fulfillment costs as well as lowering the technology

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<v Speaker 5>service costs for those merchants as well. So clearly it's

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<v Speaker 5>reimbursing more, the margins is going down and it needs

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<v Speaker 5>to keep up its growth to invest more, and that

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<v Speaker 5>has hit investor sentiments Henry.

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<v Speaker 2>Ran with the inside track on what's happening with Chinese

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<v Speaker 2>tech names. Let's broaden out the conversation now. Later it

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<v Speaker 2>is with US chief Investment Officer for the Matic Innovation

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<v Speaker 2>Equities at the Alliance Burnsteed, and we want to read

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<v Speaker 2>across just generally sentiment around international technology names. But when

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<v Speaker 2>you look at China, I know that within the ETF

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<v Speaker 2>that you particularly manage, there are some companies with exposure

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<v Speaker 2>to China.

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<v Speaker 4>How do you feel about the economy? How do you

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<v Speaker 4>feel abut consumer that?

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<v Speaker 6>I think it's you know, we do our stock selection

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<v Speaker 6>pretty carefully. We look at whether exposed to rather than

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<v Speaker 6>making a macro call, we look at what they're exposed

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<v Speaker 6>to and then whether they have competitive pressure there. And

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<v Speaker 6>we are our ETF and a lot of stocks were

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<v Speaker 6>investing in broadly speaking, are driven by secular tailwinds. So

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<v Speaker 6>regardless of economic outlook cyclically, we believe the selection that

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<v Speaker 6>we have, we select them carefully, will enjoy sustained growth tailwinds.

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<v Speaker 4>And that's how we do it. One by one really, and.

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<v Speaker 2>When you're looking at the one by one tailwinds, how

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<v Speaker 2>much you have to bake in the anxiety around a

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<v Speaker 2>headwind of geopolitical tension of a new administration that comes

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<v Speaker 2>in that makes relationships with China ever harder, particularly for

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<v Speaker 2>US exporters.

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<v Speaker 6>We we certainly are not here to make any predictions

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<v Speaker 6>about political outcome or policy. It's a very difficult thing

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<v Speaker 6>for us to do. But rather what we do is

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<v Speaker 6>we do take into consideration in terms of the risk factors,

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<v Speaker 6>you know, if they are exposed, and we certainly will

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<v Speaker 6>increase a discount way when we think about the valuation.

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<v Speaker 6>But then again it goes to one by one and

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<v Speaker 6>see how they are positioned.

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<v Speaker 2>Okay, well, when we're talking therefore more thematically are the

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<v Speaker 2>tailwinds for you still all about artificial intelligence. Whether or

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<v Speaker 2>not a particular chip maker has a large exposure to

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<v Speaker 2>selling their very high end chips into China. The tailwinds

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<v Speaker 2>are so strong that at the moment you can still

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<v Speaker 2>stick by these names. I know you can't go into

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<v Speaker 2>individual selections, but I mean we've all been talking about

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<v Speaker 2>in video this week, for example, when.

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<v Speaker 6>We look at these companies, so what we look is

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<v Speaker 6>the overall exposure. So China is part of it, but

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<v Speaker 6>China is not the sole driver for the growth. So

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<v Speaker 6>when we look at it and we can see, you know,

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<v Speaker 6>the immedia, for example, China is part of their business,

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<v Speaker 6>but that's not the majority of their business, and the

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<v Speaker 6>other parts of the business is so strong that you know,

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<v Speaker 6>we can do scenario analysis whether or not China goes

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<v Speaker 6>up or down, what does it do to the overall

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<v Speaker 6>And then given the applied demand constrain, the constrained environment

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<v Speaker 6>that we're in, they can't easily be allocate to other areas.

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<v Speaker 6>So that's kind of really how we think about its

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<v Speaker 6>overall geographic exclosure.

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<v Speaker 2>Let's talk therefore about the hype cycle that we've been in,

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<v Speaker 2>the huge valuations baked into certain AI exposed names. You're

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<v Speaker 2>comfortable with that at the moment you feel that the

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<v Speaker 2>demand is so strongly indeed supply issues are limited, that

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<v Speaker 2>you can continue to plow money into companies that have

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<v Speaker 2>risen so far so fast.

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<v Speaker 4>Already, what we.

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<v Speaker 6>Think about it is on evaluation front. What we care

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<v Speaker 6>is over a long term, can they sustain the profit pool?

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<v Speaker 6>Who has the pricing power? I think that's what ultimately matters.

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<v Speaker 6>In a fast growing phase, some of these companies will

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<v Speaker 6>look very expensive, but we really need to look out

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<v Speaker 6>over the ten year Horizon. Are they going to be

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<v Speaker 6>the market leader? Do they have competitive differentiation therefore they

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<v Speaker 6>can garner a bigger part of the profit pool. Not

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<v Speaker 6>every single one of those are going to be a winner,

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<v Speaker 6>So it's actually a great time for alpha investors. Frankly,

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<v Speaker 6>you get to choose the one that you truly believe in,

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<v Speaker 6>and then there are ones, says Frathi, that we do

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<v Speaker 6>not believe in and we choose now to invest in them.

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<v Speaker 2>Well, you've got a whole array of winners for the

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<v Speaker 2>last year in the ab Global Disruptors and international technology

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<v Speaker 2>portfolios that you manage. Nature Chief Investment officer for Alien Spernstein,

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<v Speaker 2>So it's great to have her expertise and themes here. Meanwhile,

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<v Speaker 2>coming out Amazon boosting its staking a propic. We're sticking

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<v Speaker 2>on AI folks. This is Blume Meg Technology. Let's talk

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<v Speaker 2>about anti trust and Google, because the latest is that

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<v Speaker 2>perhaps the tech giant will be forced to unwind it's

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<v Speaker 2>partnership with AI startup Anthropic if a federal judge accepts

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<v Speaker 2>the US Justice Department's proposal to resolve this landmark anti

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<v Speaker 2>trust case over online search. Let's stick into all of it.

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<v Speaker 2>Adam Kovokovich is with US CEO and founder of the

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<v Speaker 2>Chamber of Progress for more on your expertise that we

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<v Speaker 2>must make clear that used to work for Google, you

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<v Speaker 2>really help really think about strategy and lobbying there. And

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<v Speaker 2>now you are CEO one of the key tech lobbies

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<v Speaker 2>out there, Adam, so we know which side of the

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<v Speaker 2>equation perhaps you're coming from. But did that take you

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<v Speaker 2>by surprise when the UK has already said, look, we're okay,

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<v Speaker 2>we're at ease with this anthropic investment, but then the

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<v Speaker 2>US takes a second look.

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<v Speaker 7>Absolutely, and you're absolutely right that I think a loser

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<v Speaker 7>from these remedies would be anthropic. The AAR startup, the

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<v Speaker 7>DOJ wants to unwind Google's investment in anthropic, they want

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<v Speaker 7>to go beyond that. I think it's a testament and

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<v Speaker 7>a symbol of how sweeping these remedies are. And I

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<v Speaker 7>think one of the things that's kind of interesting about

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<v Speaker 7>this case is that it was brought by the Trump

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<v Speaker 7>the first Trump administration. I don't think they cared that

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<v Speaker 7>much about the search default deals, but they wanted to

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<v Speaker 7>kind of punish Google. And now I think what you

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<v Speaker 7>see happening now that Biden's Justice Department has won the case.

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<v Speaker 1>They don't seem that interested in the core.

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<v Speaker 7>Of the case, which is really search default agreements, and

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<v Speaker 7>instead are treating the as a kind of vehicle or

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<v Speaker 7>pretty broad sweeping changes to Google's business, like unwinding things

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<v Speaker 7>like their anthropic investment.

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<v Speaker 2>The main one that Bloomberg had been reporting on and

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<v Speaker 2>then was need substantiated by the DOJ was the setting

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<v Speaker 2>off of Chrome, and many like you said. This doesn't

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<v Speaker 2>seem to be going into the payments that were being

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<v Speaker 2>made to Apple or to Samsung and other Android device

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<v Speaker 2>makers to make.

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<v Speaker 4>Google Search the default.

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<v Speaker 2>But the fact that Chrome has about sixty percent market

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<v Speaker 2>share when it comes to the browser market, and then

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<v Speaker 2>a lot of people access searched through it, would it

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<v Speaker 2>not be a good idea to start peeling off some

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<v Speaker 2>of the ways in which it dominates and search.

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<v Speaker 1>Well.

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<v Speaker 7>The key point is that if the Justice Department thought

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<v Speaker 7>that Chrome was a problem, it should have included Chrome.

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<v Speaker 1>In its original argument.

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<v Speaker 7>That's the strange part about including it as a remedy.

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<v Speaker 7>The DJ never brought any charges against Google over Chrome.

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<v Speaker 7>They never made any allegation that Google had, you know,

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<v Speaker 7>improperly referenced its search engine in Chrome. Now they're invoking

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<v Speaker 7>in the remedy sphase. So I think it's coming out

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<v Speaker 7>of left field and the way that judge will reject.

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<v Speaker 7>But Chrome is clearly very valuable for Google as a

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<v Speaker 7>way to encourage people to spend time on the Internet.

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<v Speaker 1>Good for Google's business, that's clearly true.

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<v Speaker 7>But the idea that you know it's valuable to other people,

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<v Speaker 7>I just don't think it doesn't have any revenue of

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<v Speaker 7>its own. It's not valuable if it's decoupled from Google's

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<v Speaker 7>search results.

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<v Speaker 1>Frankly, I just think it's very unlikely.

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<v Speaker 7>I think it's about as likely that Google will be

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<v Speaker 7>forced to sell Chrome as you know Elon musk Doze

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<v Speaker 7>Commission is actually going to make the government more efficient.

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<v Speaker 2>Ah, that's taking us into a completely different avenue, Adam

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<v Speaker 2>so another time. But I'm interested more broadly in some

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<v Speaker 2>of the other areas. I mean ones that took perhaps

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<v Speaker 2>people are back was the idea that they'll be forced

0:11:43.440 --> 0:11:46.480
<v Speaker 2>to license, sell off, at least hand over their data,

0:11:46.640 --> 0:11:49.600
<v Speaker 2>unique data to other rivals, even as large a rival

0:11:49.640 --> 0:11:51.600
<v Speaker 2>as Microsoft when it comes to the world of search.

0:11:52.160 --> 0:11:57.520
<v Speaker 2>How technically feasible is that and ultimately how pro competition

0:11:57.920 --> 0:11:58.959
<v Speaker 2>is that sort of an outcome.

0:12:00.360 --> 0:12:03.240
<v Speaker 7>Yeah, well, I think technically technical feasibility that with the

0:12:03.320 --> 0:12:05.400
<v Speaker 7>Justice Department said as there should be a technical committee

0:12:05.400 --> 0:12:08.920
<v Speaker 7>that really has full access to Google's a source code.

0:12:08.679 --> 0:12:10.559
<v Speaker 1>And that's obviously very invasive.

0:12:11.400 --> 0:12:13.760
<v Speaker 7>You're absolutely right that things like spinning off Chrome got

0:12:13.760 --> 0:12:16.079
<v Speaker 7>a lot of attention. But if you bear a look

0:12:16.120 --> 0:12:19.480
<v Speaker 7>in the details that this filing, you're absolutely right. They're

0:12:19.520 --> 0:12:22.559
<v Speaker 7>proposing that Google have to make its secret sauce algorithms

0:12:22.600 --> 0:12:27.560
<v Speaker 7>available to rivals, share its users data with rival search engines,

0:12:27.559 --> 0:12:29.880
<v Speaker 7>including by the way, foreign search engines like Baydoo and

0:12:29.880 --> 0:12:32.320
<v Speaker 7>the Index. There actually is a provision in there that

0:12:32.360 --> 0:12:36.360
<v Speaker 7>would make Google pay for consumers to switch to consume

0:12:36.480 --> 0:12:39.400
<v Speaker 7>competing search engines, which is like PEPSI paying you know,

0:12:39.440 --> 0:12:42.120
<v Speaker 7>their customers to try coke. It would make them fun

0:12:42.200 --> 0:12:45.640
<v Speaker 7>paid advertising campaigns for rivals, like being induct dot Go.

0:12:46.200 --> 0:12:48.440
<v Speaker 7>And I think that, you know, all these extreme remedies,

0:12:48.480 --> 0:12:50.200
<v Speaker 7>I don't think. I think they would not only deter

0:12:51.120 --> 0:12:53.600
<v Speaker 7>Google from continuing to invest in search innovations if they

0:12:53.640 --> 0:12:56.640
<v Speaker 7>have to share everything. But they're so extreme and they're

0:12:56.679 --> 0:12:59.040
<v Speaker 7>so beyond the judges findings. They're a bit like prescribing

0:12:59.080 --> 0:13:03.800
<v Speaker 7>and amputation just because the patient has a hangnail.

0:13:05.120 --> 0:13:09.240
<v Speaker 2>The arguments you make are very clear, and we therefore

0:13:09.280 --> 0:13:12.560
<v Speaker 2>try and play devil's advocate here me as the consumer,

0:13:13.679 --> 0:13:16.280
<v Speaker 2>would any of this be good for me as a consumer?

0:13:16.559 --> 0:13:19.520
<v Speaker 2>If indeed Google is forced to open up any parts

0:13:19.880 --> 0:13:23.839
<v Speaker 2>of the ideas coming from the DOJ remedy.

0:13:25.240 --> 0:13:28.120
<v Speaker 7>Well, I think the vast majority of people just want

0:13:28.160 --> 0:13:30.920
<v Speaker 7>their search engines to work right, and they want their

0:13:31.000 --> 0:13:33.280
<v Speaker 7>search engines to answer questions for them.

0:13:33.880 --> 0:13:35.640
<v Speaker 1>And you know, one of the things I think is

0:13:35.679 --> 0:13:36.319
<v Speaker 1>interesting is that.

0:13:36.280 --> 0:13:39.400
<v Speaker 7>Obviously the AI layer that people that Google's building into

0:13:39.400 --> 0:13:41.439
<v Speaker 7>its search engine is a direct response to the success

0:13:41.440 --> 0:13:43.800
<v Speaker 7>of things like chat GPT. We saw a news report

0:13:43.840 --> 0:13:46.600
<v Speaker 7>yesterday that OpenAI was going to probably build its own browser.

0:13:47.040 --> 0:13:49.400
<v Speaker 1>But these remedies would take direct aim at there.

0:13:49.400 --> 0:13:52.200
<v Speaker 7>They wouldn't allow Googled, for example, to put in AI

0:13:52.440 --> 0:13:55.719
<v Speaker 7>generated results into its search results, and so I do

0:13:55.800 --> 0:13:57.960
<v Speaker 7>think that would be a pre direct violation of the

0:13:57.960 --> 0:14:02.439
<v Speaker 7>consumer Welfare Standard, which has really been kind of the

0:14:02.920 --> 0:14:04.600
<v Speaker 7>load star for anti trust enforcement.

0:14:04.760 --> 0:14:07.839
<v Speaker 1>I conceive that all of these remedies would be great.

0:14:07.600 --> 0:14:10.720
<v Speaker 7>For Microsoft and great for Duck Duck Go, But you know,

0:14:10.840 --> 0:14:14.040
<v Speaker 7>that's just not the way we historically do anti trust

0:14:14.080 --> 0:14:15.480
<v Speaker 7>enforcement in the US.

0:14:16.080 --> 0:14:17.960
<v Speaker 2>Many had felt that actually there had been a slight

0:14:18.080 --> 0:14:20.800
<v Speaker 2>changing and viewpoint of how you do anti trust in

0:14:20.840 --> 0:14:25.280
<v Speaker 2>the US, particularly under Lena Kahan and under now the

0:14:25.320 --> 0:14:28.640
<v Speaker 2>current DOJ. What's notable, though, is this is going to change.

0:14:28.640 --> 0:14:31.120
<v Speaker 2>We've got a new administration coming in in twenty twenty five,

0:14:31.160 --> 0:14:33.720
<v Speaker 2>and it's likelihood is that Jonathan Canter, who's been leading

0:14:33.720 --> 0:14:36.080
<v Speaker 2>the charge on this particular case, hands over the rains.

0:14:36.080 --> 0:14:37.720
<v Speaker 4>Do you think anything changes on the back of that.

0:14:37.760 --> 0:14:40.280
<v Speaker 2>As you mentioned, it was the Trump administration that first

0:14:40.320 --> 0:14:41.040
<v Speaker 2>brought this case.

0:14:42.480 --> 0:14:44.640
<v Speaker 7>That's right, and I think, frankly, the fact that Jonathan

0:14:44.720 --> 0:14:47.200
<v Speaker 7>Canter is on its way out is probably the main

0:14:47.280 --> 0:14:50.320
<v Speaker 7>reason why these remedies are so sweeping. He's not going

0:14:50.400 --> 0:14:53.760
<v Speaker 7>to be around for the trial about the remedies next year.

0:14:54.200 --> 0:14:57.000
<v Speaker 7>A lot of the attorneys who've been prosecuting the case are,

0:14:57.240 --> 0:15:00.880
<v Speaker 7>you know, shopping their resumes around Washington. Trump's gonna have

0:15:00.960 --> 0:15:04.360
<v Speaker 7>a goal turnover in agencies like the DOJ, so cantor

0:15:04.400 --> 0:15:06.280
<v Speaker 7>doesn't have to own what happens next, and I think

0:15:06.320 --> 0:15:08.600
<v Speaker 7>that's why he swung for the fences. I do think

0:15:08.600 --> 0:15:11.840
<v Speaker 7>it's an open question about what the Trump administration will do.

0:15:12.120 --> 0:15:15.880
<v Speaker 7>Trump named Pam Bondi, a former Attorney General of Florida,

0:15:15.960 --> 0:15:18.520
<v Speaker 7>as his next attorney general. She will then decide who

0:15:18.560 --> 0:15:20.560
<v Speaker 7>the head of the Anti Trust.

0:15:20.360 --> 0:15:23.600
<v Speaker 1>Division will be. And there might be slight changes.

0:15:23.640 --> 0:15:26.720
<v Speaker 7>I think that Trump likes having cases a big against

0:15:26.760 --> 0:15:29.600
<v Speaker 7>big tech because frankly, they provide him some kind of

0:15:29.600 --> 0:15:33.120
<v Speaker 7>punishment or leverage over big tech services. But there might

0:15:33.160 --> 0:15:35.680
<v Speaker 7>be changes in how they manage the case, might be

0:15:35.960 --> 0:15:39.080
<v Speaker 7>different approaches to how they approach things like remedies.

0:15:40.040 --> 0:15:42.960
<v Speaker 2>Adam Kovakovich, we thank you for the expertise chamber of

0:15:42.960 --> 0:15:46.240
<v Speaker 2>a progress CEO on all things Google. Meanwhile, we're just

0:15:46.240 --> 0:15:48.440
<v Speaker 2>talking about how Google might have to unwind its anthropic

0:15:48.520 --> 0:15:51.800
<v Speaker 2>and investment. Well, another company is piling in there, Amazon

0:15:51.840 --> 0:15:54.840
<v Speaker 2>pumping an additional four billion dollars in its stake and

0:15:54.920 --> 0:15:58.120
<v Speaker 2>anthropic and we know that it's the builder of Claude

0:15:58.160 --> 0:16:01.240
<v Speaker 2>generative artificial intelligence software, where a key competitor to open

0:16:01.280 --> 0:16:04.160
<v Speaker 2>ai and Bloembg's Matt Day is here with more and Matt.

0:16:04.320 --> 0:16:07.480
<v Speaker 2>When you saw this extra enormous set of money going

0:16:07.480 --> 0:16:08.680
<v Speaker 2>towards anthropic.

0:16:08.280 --> 0:16:11.280
<v Speaker 8>What did you think, Well, we knew Anthropic was raising money,

0:16:11.280 --> 0:16:14.200
<v Speaker 8>but This really underlines for us that Amazon has gone

0:16:14.240 --> 0:16:16.760
<v Speaker 8>full bear hug on Nthropic. You know, much like Microsoft

0:16:16.760 --> 0:16:18.600
<v Speaker 8>pumped a ton of money to Open Ai to get

0:16:18.640 --> 0:16:21.840
<v Speaker 8>some exclusive rights and sort of preferred cloud provider for

0:16:22.200 --> 0:16:25.720
<v Speaker 8>chat GPT, Amazon has decided that, you know, hey, cloud

0:16:25.800 --> 0:16:28.320
<v Speaker 8>is a good enough product that if they can, you know,

0:16:28.400 --> 0:16:30.720
<v Speaker 8>seek to tie it to their platform, they're gonna They're

0:16:30.720 --> 0:16:31.160
<v Speaker 8>going to do that.

0:16:31.440 --> 0:16:33.520
<v Speaker 4>How exclusive, therefore will Anthropic be?

0:16:33.680 --> 0:16:36.000
<v Speaker 2>We know that actually Google currently has like an investment

0:16:36.000 --> 0:16:38.560
<v Speaker 2>that it's hoping to keep in it, so Whennthropic can.

0:16:38.440 --> 0:16:41.760
<v Speaker 8>Still run on other clouds, it's not like the Microsoft

0:16:41.760 --> 0:16:44.240
<v Speaker 8>open A ideal in that regard. But one exclusive bit

0:16:44.320 --> 0:16:48.400
<v Speaker 8>that Amazon has been pushing for is Anthropic using more

0:16:48.440 --> 0:16:51.560
<v Speaker 8>of Amazon's hardware to train its models. Right, This is

0:16:51.600 --> 0:16:53.960
<v Speaker 8>a key differentiator Amazon thinks for its cloud in the

0:16:54.000 --> 0:16:56.040
<v Speaker 8>long term. They think, if Anthropic can help them make

0:16:56.040 --> 0:16:57.920
<v Speaker 8>a really good AI chip, then you know, that's just

0:16:57.960 --> 0:17:00.120
<v Speaker 8>another advantage for a cloud platform that already brings and

0:17:00.160 --> 0:17:01.680
<v Speaker 8>a ton of money for Amazon.

0:17:01.880 --> 0:17:04.240
<v Speaker 2>And they're spending a ton of money. Matt Day, great

0:17:04.280 --> 0:17:14.720
<v Speaker 2>to have you, thank you time now for talking tech.

0:17:14.760 --> 0:17:17.679
<v Speaker 2>First up, Paramount is promising a one million dollar retention

0:17:17.760 --> 0:17:20.720
<v Speaker 2>bonus to its head of government relations and of human resources.

0:17:20.880 --> 0:17:23.600
<v Speaker 2>That's all depending on the merger with Skydance. Just last month,

0:17:23.640 --> 0:17:26.920
<v Speaker 2>Paramount announced that it's three co CEOs will receive three

0:17:26.960 --> 0:17:29.680
<v Speaker 2>million dollars in cash bonuses even if they no longer

0:17:29.760 --> 0:17:33.720
<v Speaker 2>are with the company. Plus DirecTV has notified EchoStar that

0:17:33.800 --> 0:17:36.760
<v Speaker 2>it intends to terminate this acquisition of Dish Network.

0:17:37.119 --> 0:17:39.200
<v Speaker 4>This is after the bondholders failed.

0:17:38.840 --> 0:17:41.399
<v Speaker 2>To consent to a key dead exchange, effectively killing the

0:17:41.440 --> 0:17:44.320
<v Speaker 2>deal that would have created the largest PATV provider in

0:17:44.359 --> 0:17:48.560
<v Speaker 2>the United States. And Apple is readying to revamp Siri now.

0:17:48.640 --> 0:17:50.760
<v Speaker 2>According to sources, the tech giant is developing a more

0:17:50.800 --> 0:17:54.160
<v Speaker 2>conversational version of its digital assistant BACLY, aiming to catch

0:17:54.240 --> 0:17:56.760
<v Speaker 2>up with rivals like Opening Eyes Chat GPT. The new

0:17:56.840 --> 0:17:59.400
<v Speaker 2>sery is said to use more advanced lllms and will

0:17:59.440 --> 0:18:03.720
<v Speaker 2>have the ability to handle more sophisticated requests. Now talking

0:18:03.760 --> 0:18:08.119
<v Speaker 2>of AI, AI leaders and safety institutes and gathered in

0:18:08.240 --> 0:18:11.520
<v Speaker 2>San Francisco this week to discuss the impact of artificial

0:18:11.560 --> 0:18:16.639
<v Speaker 2>intelligence on society, but one looming topic dominated conversations, what

0:18:16.720 --> 0:18:20.840
<v Speaker 2>will policy look like under a second Trump administration. For

0:18:20.920 --> 0:18:24.000
<v Speaker 2>more bloom Sharene Gafari joins US now and you were

0:18:24.040 --> 0:18:27.879
<v Speaker 2>there alongside was it? Sexutreen, Romando and all awful lot

0:18:27.920 --> 0:18:33.000
<v Speaker 2>of heads of various AI safety networks and cummings together,

0:18:33.640 --> 0:18:37.440
<v Speaker 2>What are we currently thinking about that maybe the US

0:18:37.640 --> 0:18:39.960
<v Speaker 2>version of AI safety is dismantled in some.

0:18:39.920 --> 0:18:43.320
<v Speaker 1>Way, That's right.

0:18:43.359 --> 0:18:44.720
<v Speaker 4>So we had a who's who there?

0:18:44.760 --> 0:18:50.480
<v Speaker 9>You know, tech leaders like Athropic CEO Dario Armadae, officials

0:18:50.480 --> 0:18:53.320
<v Speaker 9>from international countries around the world who have all just

0:18:53.400 --> 0:18:57.119
<v Speaker 9>agreed to be part of this international consooratum of different

0:18:57.160 --> 0:19:00.879
<v Speaker 9>AI safety institutes. But the looming question of uncertainty is

0:19:00.920 --> 0:19:03.280
<v Speaker 9>what will happen on the US side to its own

0:19:03.320 --> 0:19:07.560
<v Speaker 9>AI safety institute that was leading the talks if there

0:19:07.640 --> 0:19:10.719
<v Speaker 9>is a new administration that will take a different approach

0:19:10.760 --> 0:19:11.720
<v Speaker 9>to AI policy.

0:19:12.600 --> 0:19:16.439
<v Speaker 2>Elizabeth Kelly currently heading up that institute, What did she

0:19:16.680 --> 0:19:20.760
<v Speaker 2>think of the future of AI innovation and guard rails

0:19:20.840 --> 0:19:22.000
<v Speaker 2>under our next administration?

0:19:23.359 --> 0:19:25.720
<v Speaker 9>Right, So, she really made the case that despite the

0:19:25.760 --> 0:19:28.840
<v Speaker 9>fact that incoming President Trump has said that he will

0:19:29.040 --> 0:19:32.320
<v Speaker 9>repeal the or his party rather platform has said it

0:19:32.359 --> 0:19:37.320
<v Speaker 9>will repeal the Biden Executive Order on AI, Elizabeth Kelly

0:19:37.320 --> 0:19:39.000
<v Speaker 9>really made the case to me in an interview on

0:19:39.040 --> 0:19:42.720
<v Speaker 9>the sidelines of the conference, that this Safety Institute should

0:19:42.720 --> 0:19:46.639
<v Speaker 9>not be seen as a politicized group, that it is

0:19:47.119 --> 0:19:52.040
<v Speaker 9>part of a nonpartisan, larger government institute called NIST, which

0:19:52.080 --> 0:19:55.160
<v Speaker 9>is all about evaluating and making safety standards. And they've

0:19:55.200 --> 0:19:58.280
<v Speaker 9>long been doing this for things like facial recognition technology,

0:19:58.320 --> 0:20:00.720
<v Speaker 9>for example, measuring how good it is and what the

0:20:00.800 --> 0:20:03.640
<v Speaker 9>risks are. And so she's saying that, look, no matter

0:20:03.680 --> 0:20:07.479
<v Speaker 9>who's president, we're happy to be continuing our work as

0:20:07.520 --> 0:20:10.160
<v Speaker 9>we have. And you know, that's sort of the best

0:20:10.160 --> 0:20:12.600
<v Speaker 9>case scenarios that this work continues. But the big question

0:20:12.720 --> 0:20:15.280
<v Speaker 9>is that of incoming President Trump does try to take

0:20:15.320 --> 0:20:18.440
<v Speaker 9>a different approach, repeals the EO. Will we see change

0:20:18.440 --> 0:20:19.640
<v Speaker 9>with this institute as well?

0:20:20.000 --> 0:20:24.399
<v Speaker 2>How disconcerting is it for AI companies trying to build

0:20:24.760 --> 0:20:26.800
<v Speaker 2>in what feels like a bit of a vacuum of direction,

0:20:27.160 --> 0:20:30.200
<v Speaker 2>because I know that very positive words were said about

0:20:30.240 --> 0:20:32.919
<v Speaker 2>the AI Safety Institute the US version by for example,

0:20:32.960 --> 0:20:33.840
<v Speaker 2>the leaders of Anthropic.

0:20:36.000 --> 0:20:38.760
<v Speaker 9>Yeah, it does provide some level of uncertainty because what

0:20:38.840 --> 0:20:42.679
<v Speaker 9>these companies don't want is a patchwork of legislation in

0:20:42.720 --> 0:20:45.760
<v Speaker 9>all these different countries. And of course the asif stitudensty

0:20:45.760 --> 0:20:48.679
<v Speaker 9>isn't doing actual legislation, but it is providing some kind

0:20:48.720 --> 0:20:51.720
<v Speaker 9>of standardized testing to say, this is how you make

0:20:51.760 --> 0:20:53.440
<v Speaker 9>sure that you're this is how we can say your

0:20:53.440 --> 0:20:56.879
<v Speaker 9>models are actually risky in terms of biological threats or

0:20:56.880 --> 0:20:59.560
<v Speaker 9>cybersecurity threats. So if they're having to run, you know,

0:20:59.560 --> 0:21:02.480
<v Speaker 9>one hundred different tests for one hundred different countries and

0:21:02.600 --> 0:21:05.640
<v Speaker 9>the US's version of those tests is constantly changing, that's

0:21:05.680 --> 0:21:06.440
<v Speaker 9>not good for them.

0:21:06.560 --> 0:21:06.760
<v Speaker 10>Right.

0:21:06.840 --> 0:21:09.120
<v Speaker 9>So it's in these companies like Anthropic and opening Ice

0:21:09.200 --> 0:21:12.639
<v Speaker 9>interest to have standardization, and they're calling for the Trump

0:21:12.640 --> 0:21:15.560
<v Speaker 9>administration to keep the USAI Safety Institute.

0:21:15.600 --> 0:21:17.879
<v Speaker 4>What about more local government officials.

0:21:17.920 --> 0:21:20.720
<v Speaker 2>You've been interesting in reporting that Sam Altman, for example,

0:21:20.840 --> 0:21:23.400
<v Speaker 2>going to be helping the new San Francisco math.

0:21:24.960 --> 0:21:28.239
<v Speaker 9>That's right. So at a local level, Daniel Lurie, our

0:21:28.320 --> 0:21:32.639
<v Speaker 9>new mayor here in San Francisco, has appointed Sam Altman

0:21:32.720 --> 0:21:34.920
<v Speaker 9>to be part of his transition advisory team.

0:21:35.680 --> 0:21:36.560
<v Speaker 4>You know, he's said in.

0:21:36.720 --> 0:21:38.560
<v Speaker 9>A past interviews that Sam Altman is one of the

0:21:38.600 --> 0:21:41.040
<v Speaker 9>most important people in the world, and he's living here

0:21:41.040 --> 0:21:44.040
<v Speaker 9>in our city. So you know, there's an obvious incentive,

0:21:44.040 --> 0:21:46.920
<v Speaker 9>I think, on both sides for the mayor both to

0:21:47.800 --> 0:21:51.280
<v Speaker 9>you know, take advice from someone who's so powerful, and

0:21:51.320 --> 0:21:54.360
<v Speaker 9>also for open AI to be a potentially bigger part

0:21:54.400 --> 0:21:55.960
<v Speaker 9>of civic engagement here in the city.

0:21:56.440 --> 0:22:06.919
<v Speaker 2>Sharane Gafari, We thank you all things AI. Welcome back

0:22:06.920 --> 0:22:09.000
<v Speaker 2>to Blue Meg Technology. I'm Karen Hide in New York.

0:22:09.080 --> 0:22:11.280
<v Speaker 2>Let's get a quick check on these markets. Halfway through

0:22:11.280 --> 0:22:13.159
<v Speaker 2>the show, almost halfway through the training day, we're up

0:22:13.160 --> 0:22:14.919
<v Speaker 2>one point five percent of the course of the trading

0:22:15.000 --> 0:22:18.439
<v Speaker 2>week on the Nasdaq one hundred, best weeks since the

0:22:18.480 --> 0:22:21.919
<v Speaker 2>start of the month, when, of course we learn the

0:22:21.960 --> 0:22:24.200
<v Speaker 2>outcome of the election, when the Nasdaq one hundred rallied

0:22:24.240 --> 0:22:26.680
<v Speaker 2>more than five percent. We're making up some of last

0:22:26.720 --> 0:22:29.240
<v Speaker 2>week's erosions. Let's move on to some of the individual

0:22:29.280 --> 0:22:32.000
<v Speaker 2>assets and indeed names under the hood, and Nazak one

0:22:32.040 --> 0:22:35.040
<v Speaker 2>hundred is actually down on the day, just slightly, largely

0:22:35.160 --> 0:22:37.199
<v Speaker 2>because of Nvideo. It's the biggest points drag. We're off

0:22:37.240 --> 0:22:39.639
<v Speaker 2>by more than three percent after earnings came after the

0:22:39.640 --> 0:22:41.399
<v Speaker 2>bell on Wednesday night and we seem to shake off

0:22:41.440 --> 0:22:43.480
<v Speaker 2>some of the anxiety and yesterday's trade, But so we

0:22:43.480 --> 0:22:45.320
<v Speaker 2>head towards the weekend, maybe a little bit more of

0:22:45.320 --> 0:22:46.800
<v Speaker 2>profit taking happening on this name.

0:22:47.040 --> 0:22:50.760
<v Speaker 4>Bitcoin up seven tenths of a percent. We're at ninety

0:22:51.359 --> 0:22:51.920
<v Speaker 4>and forty one.

0:22:52.160 --> 0:22:55.359
<v Speaker 2>The ramp up has been extraordinary in crypto since the

0:22:55.400 --> 0:22:57.840
<v Speaker 2>outcome of the election, and it continues to be a

0:22:57.920 --> 0:23:01.600
<v Speaker 2>risk on ASCID of choice. Meanwhile, on a play getting

0:23:01.640 --> 0:23:04.639
<v Speaker 2>some sort of proxy effect of Bitcoin. Many have turned

0:23:04.640 --> 0:23:07.399
<v Speaker 2>their attention to MicroStrategy. We're up another eight percent. Remember

0:23:07.440 --> 0:23:11.080
<v Speaker 2>it sold off yesterday after Citron Research came out and said, look,

0:23:11.240 --> 0:23:13.720
<v Speaker 2>even Michael Sailor himself would say that this stock has

0:23:13.800 --> 0:23:16.920
<v Speaker 2>run too far, too fast. It's time to perhaps perhaps

0:23:17.119 --> 0:23:19.600
<v Speaker 2>better against it, even though four years ago they'd said

0:23:19.720 --> 0:23:22.360
<v Speaker 2>use it as a Bitcoin proxy. But for now we've

0:23:22.359 --> 0:23:23.840
<v Speaker 2>got to dig in a little bit more about what's

0:23:23.840 --> 0:23:27.240
<v Speaker 2>happening with MicroStrategy, and indeed what's happening in terms of

0:23:27.320 --> 0:23:29.360
<v Speaker 2>leveraged ETFs around the name.

0:23:29.800 --> 0:23:32.000
<v Speaker 4>Look, over the last two days, we're off by nine percent.

0:23:32.080 --> 0:23:34.400
<v Speaker 2>That's going to hurt if you perhaps in these two

0:23:34.680 --> 0:23:37.920
<v Speaker 2>x ETFs ones that are dining out on leveraging any

0:23:38.000 --> 0:23:40.760
<v Speaker 2>move that happens with micro Strategy. But it's actually proving

0:23:40.800 --> 0:23:42.400
<v Speaker 2>a pain point for some of the banks that trying

0:23:42.400 --> 0:23:45.800
<v Speaker 2>to make the markets around these ETFs Bloomberg's Deniza Tinkover

0:23:46.080 --> 0:23:48.360
<v Speaker 2>is here with us, so just talk us through who

0:23:48.480 --> 0:23:51.760
<v Speaker 2>are the players that allow you to go two times

0:23:51.920 --> 0:23:55.000
<v Speaker 2>and move on MicroStrategy and the difficulties that they're having

0:23:55.520 --> 0:23:57.679
<v Speaker 2>well with some of the swap market around it.

0:23:58.119 --> 0:24:01.160
<v Speaker 10>Yeah, so it's very interesting that these are very recent players.

0:24:01.200 --> 0:24:03.600
<v Speaker 10>They weren't around just a few months ago. They actually

0:24:03.640 --> 0:24:07.320
<v Speaker 10>increase their levelage. So currently there are two main big

0:24:07.359 --> 0:24:11.280
<v Speaker 10>ETFs that have two times the exposure of micro strategy,

0:24:11.560 --> 0:24:14.680
<v Speaker 10>which means they obviously go up when micro strategy rallies,

0:24:14.760 --> 0:24:15.640
<v Speaker 10>but also.

0:24:15.520 --> 0:24:17.919
<v Speaker 4>The losses can be quite seep. And what we have

0:24:18.040 --> 0:24:19.240
<v Speaker 4>seen is actually.

0:24:18.880 --> 0:24:22.680
<v Speaker 10>From a lot of trading desks, including no Mura and

0:24:22.960 --> 0:24:25.879
<v Speaker 10>other people on the street actually flagging the effect of

0:24:25.960 --> 0:24:29.920
<v Speaker 10>those two ETFs, which are now around four billion, which

0:24:30.000 --> 0:24:32.960
<v Speaker 10>doesn't seem that big, but the amount of risk and

0:24:33.040 --> 0:24:36.720
<v Speaker 10>leverage exposures they take is quite is quite important. The

0:24:36.760 --> 0:24:39.400
<v Speaker 10>way they do it is they do it via swaps,

0:24:39.800 --> 0:24:42.360
<v Speaker 10>and that has become a problem. Not many people are

0:24:42.440 --> 0:24:46.040
<v Speaker 10>ready to take that risk and to follow that volatility.

0:24:46.280 --> 0:24:49.960
<v Speaker 10>In fact, there are three prime brokeages of one of

0:24:49.960 --> 0:24:52.040
<v Speaker 10>the ETFs is working at the moment, and it's really

0:24:52.040 --> 0:24:56.199
<v Speaker 10>hard to get more levelage going forward to chase that

0:24:56.320 --> 0:24:58.640
<v Speaker 10>rally and potentially obviously if we go down.

0:24:59.040 --> 0:25:00.960
<v Speaker 2>So just get technical for us for a moment, because

0:25:00.960 --> 0:25:02.920
<v Speaker 2>there are a lot of retail investors who are in

0:25:03.200 --> 0:25:06.480
<v Speaker 2>these leverage gtfs. I'm hearing from neighbors about how they're

0:25:06.520 --> 0:25:08.960
<v Speaker 2>taking options out on some of these leverage ETFs and

0:25:09.000 --> 0:25:13.080
<v Speaker 2>it makes the eyes water. But basically, when trying to

0:25:13.119 --> 0:25:16.920
<v Speaker 2>fulfill the promise of these instruments, the risk limits of

0:25:16.960 --> 0:25:20.760
<v Speaker 2>a prime broker are being tested. So what is the

0:25:20.760 --> 0:25:21.960
<v Speaker 2>ETF manager.

0:25:21.640 --> 0:25:22.760
<v Speaker 1>To do well?

0:25:22.800 --> 0:25:24.960
<v Speaker 10>The ETF managers can also We've seen a lot of

0:25:24.960 --> 0:25:28.600
<v Speaker 10>people use co options sometimes to chase that upsite or

0:25:28.640 --> 0:25:31.359
<v Speaker 10>just being limited with very few prime brokers. But the

0:25:31.400 --> 0:25:34.720
<v Speaker 10>way those product works is that they offer rebalance within

0:25:34.800 --> 0:25:37.480
<v Speaker 10>the last thirty minutes of the trading day. So if

0:25:37.560 --> 0:25:39.639
<v Speaker 10>you look a little bit deeper in some of those charts,

0:25:39.720 --> 0:25:43.240
<v Speaker 10>you often see really big gurations in the last thirty minutes,

0:25:43.280 --> 0:25:45.480
<v Speaker 10>which is what actually trading dests are looking at.

0:25:45.720 --> 0:25:47.200
<v Speaker 4>And for example, if you've seen a.

0:25:47.160 --> 0:25:50.880
<v Speaker 10>Big update, a lot of those products need to buy

0:25:51.000 --> 0:25:53.720
<v Speaker 10>a lot more of the underlying stock or some kind

0:25:53.720 --> 0:25:57.560
<v Speaker 10>of exposure to it to chase back to the needed

0:25:57.560 --> 0:26:00.920
<v Speaker 10>exposure to have two times leverage. Seemed that really big

0:26:00.960 --> 0:26:03.640
<v Speaker 10>effect in the last thirty minutes, which can be up

0:26:03.680 --> 0:26:04.679
<v Speaker 10>or down depending on the.

0:26:04.720 --> 0:26:09.000
<v Speaker 2>MOLF t rex two x long MSTR daily target ETF.

0:26:09.000 --> 0:26:11.879
<v Speaker 2>The ticket is MSTU. There's also Sylvia Deablonski who we

0:26:11.880 --> 0:26:13.960
<v Speaker 2>have on the team often. She runs the defiance daily

0:26:14.000 --> 0:26:19.040
<v Speaker 2>target to X longing MSTR ETF ticket MSTX. Fascinating Taniza

0:26:19.200 --> 0:26:22.640
<v Speaker 2>takover on all things MicroStrategy and the leverage play there. Meanwhile,

0:26:22.680 --> 0:26:26.640
<v Speaker 2>digital assets being flagged as unregistered securities by the SEC

0:26:26.720 --> 0:26:30.200
<v Speaker 2>are rallying after the agency's chair, Gary Gensler, and that's

0:26:30.200 --> 0:26:32.800
<v Speaker 2>that he prans to step down. Cryptos supporter Donald Trump,

0:26:32.800 --> 0:26:35.720
<v Speaker 2>of course, has vowed to fire Gensler, who now intends

0:26:35.760 --> 0:26:38.040
<v Speaker 2>to exit in January on his own accord, on the

0:26:38.119 --> 0:26:41.560
<v Speaker 2>day the President elect is due to be inaugurated. Meanwhile,

0:26:41.600 --> 0:26:44.560
<v Speaker 2>Bitcoin's wild ride has been continuing. We know it's near

0:26:44.600 --> 0:26:47.399
<v Speaker 2>that one hundred thousand dollars level, very psychologically important, and

0:26:47.440 --> 0:26:51.399
<v Speaker 2>the cryptocurrency surging since Donald Trump's re election. Finance CEO

0:26:51.520 --> 0:26:54.199
<v Speaker 2>Richard Teng sat down with Blue Megs Trancy Laqua to

0:26:54.280 --> 0:26:57.480
<v Speaker 2>discuss the impact of the second Trump administration on crypto markets.

0:26:57.520 --> 0:27:02.240
<v Speaker 11>Take a listen, president from being elected suddenly give a

0:27:02.320 --> 0:27:05.240
<v Speaker 11>boost and give greater clarity to this. But I would

0:27:05.280 --> 0:27:07.880
<v Speaker 11>say that twenty twenty four has been a landmark year

0:27:08.280 --> 0:27:11.200
<v Speaker 11>and that momentum started earlier this year. So if you

0:27:11.280 --> 0:27:14.320
<v Speaker 11>look at what happened in January this year with Big

0:27:14.400 --> 0:27:17.560
<v Speaker 11>Coin ETF being approved firstly in the United States and

0:27:17.680 --> 0:27:20.600
<v Speaker 11>is subsequently all around the world from Brazil to Canada

0:27:20.680 --> 0:27:23.760
<v Speaker 11>to Australia, Hong Kong and at least goes on, it

0:27:23.840 --> 0:27:28.080
<v Speaker 11>gives a lot of recognition and finally the respect that

0:27:28.160 --> 0:27:32.000
<v Speaker 11>this sector deserves all along and with the likes of

0:27:32.119 --> 0:27:34.840
<v Speaker 11>all the largest money manager and all the top financial

0:27:34.840 --> 0:27:38.960
<v Speaker 11>institutions around the world starting to recognize the value of

0:27:39.000 --> 0:27:42.560
<v Speaker 11>this space. Have Larry fin CEO of the largest money

0:27:42.600 --> 0:27:45.359
<v Speaker 11>manager Black Role in the world that went from a

0:27:45.440 --> 0:27:48.240
<v Speaker 11>crypto skeptic to a crypto believer. I think that it

0:27:48.359 --> 0:27:52.120
<v Speaker 11>selfpiacks value. So if you look at the Bigcoin ETF

0:27:52.320 --> 0:27:56.400
<v Speaker 11>is the best performing ETF so far in the I think,

0:27:56.440 --> 0:27:59.639
<v Speaker 11>in the history of ITTF. Right again, it shows that

0:28:00.000 --> 0:28:03.800
<v Speaker 11>institutionalization has started and mainstreaming has started.

0:28:04.160 --> 0:28:08.120
<v Speaker 6>Could the Trump administration change everything from for cryptocurrencies.

0:28:09.000 --> 0:28:12.400
<v Speaker 11>Well, it's a big positive. I think the last four years,

0:28:12.480 --> 0:28:15.840
<v Speaker 11>especially if you're in the United States, I think the

0:28:15.920 --> 0:28:18.680
<v Speaker 11>last four years has been pretty tough, right in terms

0:28:18.720 --> 0:28:23.320
<v Speaker 11>of you know, regulation by enforcement, which is not necessarily

0:28:23.320 --> 0:28:27.919
<v Speaker 11>the best form of regulation. But President we have a

0:28:28.080 --> 0:28:30.960
<v Speaker 11>very pro crypto president. And if you look at it's

0:28:30.960 --> 0:28:34.560
<v Speaker 11>not only President Trump himself, by the House of Representative

0:28:34.800 --> 0:28:40.360
<v Speaker 11>two thirds of the legislature being elected a pro crypto

0:28:41.280 --> 0:28:45.320
<v Speaker 11>seen stories happening at the Senate level, many pro crypto

0:28:46.000 --> 0:28:48.360
<v Speaker 11>legislators and policy makers have been elected.

0:28:49.560 --> 0:28:52.400
<v Speaker 2>Finance CEO WHOCHI Tank there speaking with our own frontcy Lacar.

0:28:52.480 --> 0:28:55.120
<v Speaker 2>Now just a note and a reminder that Finance itself

0:28:55.120 --> 0:28:57.880
<v Speaker 2>remains under a consent order with the formal monitoring requirements

0:28:57.920 --> 0:29:01.080
<v Speaker 2>in place. Plus there is an ongoing sec but none

0:29:01.120 --> 0:29:03.240
<v Speaker 2>of its currency suite executives have been charged in the

0:29:03.240 --> 0:29:04.080
<v Speaker 2>most recent.

0:29:03.840 --> 0:29:04.840
<v Speaker 4>Round of indictments.

0:29:05.200 --> 0:29:08.040
<v Speaker 2>Now coming up, we'll talk about where enterprises are allocating

0:29:08.040 --> 0:29:10.720
<v Speaker 2>their dollars when it comes to AI men adventures.

0:29:10.720 --> 0:29:11.640
<v Speaker 4>Tim Tully's with us.

0:29:11.920 --> 0:29:24.880
<v Speaker 2>This is bloom Meg Technology, still private. Fintech giant Stripe

0:29:25.160 --> 0:29:27.640
<v Speaker 2>is again buying back some of its shares and a

0:29:27.720 --> 0:29:30.600
<v Speaker 2>roughly seventy billion dollar valuation. The deal is likely to

0:29:30.680 --> 0:29:33.160
<v Speaker 2>see hundreds of millions of dollars in shares change hands

0:29:33.200 --> 0:29:36.040
<v Speaker 2>according to sources numbers. Katie roof choices once again with

0:29:36.160 --> 0:29:40.080
<v Speaker 2>yet another secondary market activity. Katie and just who are

0:29:40.080 --> 0:29:41.960
<v Speaker 2>they purchasing from? Who needs the liquidity?

0:29:43.080 --> 0:29:46.840
<v Speaker 12>So this is actually for ex employees rather than current employees.

0:29:46.880 --> 0:29:51.120
<v Speaker 12>And then also venture capitalists and other large investors. So

0:29:52.080 --> 0:29:56.400
<v Speaker 12>Stripe has done several tender offers I believe at least

0:29:56.400 --> 0:29:56.880
<v Speaker 12>the third.

0:29:56.760 --> 0:29:57.560
<v Speaker 4>One this year.

0:29:58.080 --> 0:30:00.760
<v Speaker 12>This is different than the Sequoia one a couple months

0:30:00.760 --> 0:30:03.480
<v Speaker 12>ago where they purchased a lot of shares. Our understanding

0:30:03.560 --> 0:30:06.280
<v Speaker 12>is it actually could be Striped itself buying back a

0:30:06.280 --> 0:30:09.400
<v Speaker 12>lot of its shares, and this could be a potential

0:30:09.440 --> 0:30:11.920
<v Speaker 12>move to clean up their cap table in case they

0:30:11.960 --> 0:30:12.920
<v Speaker 12>want to ips someday.

0:30:13.480 --> 0:30:15.480
<v Speaker 4>Okay, clean cap table always helps.

0:30:15.480 --> 0:30:18.880
<v Speaker 2>Talking of potential IPOs, you were reporting on one for

0:30:18.920 --> 0:30:20.200
<v Speaker 2>One Password.

0:30:21.440 --> 0:30:25.960
<v Speaker 12>Yeah, exactly. So One Password is having early conversations with banks.

0:30:26.200 --> 0:30:29.080
<v Speaker 12>Our understanding is they're hoping to go public next year.

0:30:29.440 --> 0:30:33.120
<v Speaker 12>This is a Toronto based company, the password management business.

0:30:33.120 --> 0:30:35.840
<v Speaker 12>They've been around for a while. They originally bootstrapped and

0:30:35.880 --> 0:30:38.880
<v Speaker 12>then they started taking outside capital. Maybe five years ago

0:30:39.040 --> 0:30:41.560
<v Speaker 12>Excel was knocking down their door to get into that one,

0:30:41.640 --> 0:30:45.360
<v Speaker 12>and now it looks like they're getting closer to providing

0:30:45.400 --> 0:30:47.160
<v Speaker 12>a liquidity event for their shareholders.

0:30:47.680 --> 0:30:49.800
<v Speaker 4>Oooh, some activity ahead, Katie Ruth.

0:30:50.080 --> 0:30:53.920
<v Speaker 2>We appreciate it as always an all things VC backed investments,

0:30:53.920 --> 0:30:56.480
<v Speaker 2>So that stick with VC now because investment in AI

0:30:56.600 --> 0:31:00.000
<v Speaker 2>native applications get this reach four point six billion dollars

0:31:00.040 --> 0:31:02.400
<v Speaker 2>in twenty twenty four, almost eight times what it was

0:31:02.440 --> 0:31:04.880
<v Speaker 2>in twenty twenty three. It's all coming from the latest

0:31:04.920 --> 0:31:07.800
<v Speaker 2>insight report from Meno Ventures, who are looking at where

0:31:07.960 --> 0:31:10.800
<v Speaker 2>enterprises are spending now on general to AI and where

0:31:10.840 --> 0:31:12.360
<v Speaker 2>it is all going for.

0:31:12.360 --> 0:31:13.520
<v Speaker 4>Twenty twenty five.

0:31:13.720 --> 0:31:17.000
<v Speaker 2>Tim Talley, Menlo Ventures partner, can deep dive with us

0:31:17.000 --> 0:31:19.360
<v Speaker 2>a bit now and it's an interesting amount of conversations

0:31:19.400 --> 0:31:23.120
<v Speaker 2>I'm having that are pivoting away from the infrastructure, the

0:31:23.440 --> 0:31:26.760
<v Speaker 2>large language models, over to where in the application layer

0:31:26.760 --> 0:31:28.680
<v Speaker 2>this is going to be most valuable. Where are you

0:31:28.760 --> 0:31:32.480
<v Speaker 2>seeing that activity to write checks to applications in general

0:31:32.560 --> 0:31:32.880
<v Speaker 2>to AI.

0:31:33.800 --> 0:31:35.480
<v Speaker 13>Yeah, just to be technical for a moment, A lot

0:31:35.520 --> 0:31:37.320
<v Speaker 13>of that is driven by the fact that these foundation

0:31:37.400 --> 0:31:40.719
<v Speaker 13>models are translating texts into other text well, so what

0:31:40.760 --> 0:31:44.920
<v Speaker 13>you're seeing is the money's flowing into places where applications

0:31:44.960 --> 0:31:47.120
<v Speaker 13>can do well with text as you can imagine. So

0:31:47.120 --> 0:31:52.000
<v Speaker 13>that's really legal tech, it's healthcare, it's fintech, And largely

0:31:52.040 --> 0:31:54.440
<v Speaker 13>that's because the architectures are settling in terms of how

0:31:54.520 --> 0:31:58.400
<v Speaker 13>developers build applications. In twenty three, books are still trying

0:31:58.440 --> 0:32:01.000
<v Speaker 13>to figure out how to build applications using generative AI.

0:32:01.840 --> 0:32:04.360
<v Speaker 13>That has changed greatly in twenty twenty four as applications

0:32:04.360 --> 0:32:06.040
<v Speaker 13>move into more agentic architectures.

0:32:06.720 --> 0:32:09.240
<v Speaker 2>What's been so interesting is, for example, you're an investor

0:32:09.640 --> 0:32:12.880
<v Speaker 2>in Nthropic, we announced today that Amazon is taking another

0:32:13.000 --> 0:32:15.800
<v Speaker 2>four billion dollar cash and fusion into the business. It

0:32:15.840 --> 0:32:18.360
<v Speaker 2>really wants to make it a bedrock or bedrock. It

0:32:18.360 --> 0:32:21.520
<v Speaker 2>wants to really ensure that it's offering its own well

0:32:21.920 --> 0:32:24.880
<v Speaker 2>cloud technology but off to other clients with the help

0:32:24.920 --> 0:32:27.800
<v Speaker 2>of Anthropic, but also having Anthropic train its own data

0:32:27.840 --> 0:32:28.600
<v Speaker 2>on its own chips.

0:32:29.200 --> 0:32:29.840
<v Speaker 4>What's interesting.

0:32:29.880 --> 0:32:33.280
<v Speaker 2>I'm talking to some application generative AI application makers and

0:32:33.320 --> 0:32:36.760
<v Speaker 2>they're saying the support coming from cloud providers for their

0:32:36.800 --> 0:32:40.000
<v Speaker 2>businesses too is extraordinary. How are you seeing these application

0:32:40.120 --> 0:32:45.760
<v Speaker 2>makers also dining out from Amazon, Microsoft, and the rivalry there, Like.

0:32:45.800 --> 0:32:49.720
<v Speaker 13>It's really really expensive to train and provide inference for

0:32:49.760 --> 0:32:51.760
<v Speaker 13>these things, and you know, seeing a four billion dollar

0:32:51.840 --> 0:32:55.000
<v Speaker 13>cash infusion from the likes of Amazon is not shocking

0:32:55.000 --> 0:32:57.840
<v Speaker 13>at all. I think it's great for developers who sit

0:32:57.880 --> 0:33:00.680
<v Speaker 13>in the Amazon ecosystem. They've already been us to use

0:33:01.560 --> 0:33:04.320
<v Speaker 13>services within that ecosystem and to move over to Anthropic

0:33:04.400 --> 0:33:06.280
<v Speaker 13>I think makes things really really easy for them in

0:33:06.320 --> 0:33:08.000
<v Speaker 13>Anthropic is obviously benefiting from that.

0:33:09.200 --> 0:33:13.800
<v Speaker 2>Just from the research that you've done. Are we seeing

0:33:14.200 --> 0:33:18.440
<v Speaker 2>money stop going towards these foundational layers and instead finding

0:33:18.440 --> 0:33:21.000
<v Speaker 2>a new home in the application makers or are people

0:33:21.080 --> 0:33:25.480
<v Speaker 2>still writing checks in both directions. It's just very different valuations.

0:33:25.520 --> 0:33:26.480
<v Speaker 1>It's going in both directions.

0:33:26.520 --> 0:33:28.400
<v Speaker 13>Store you saw it in the report. The amount of

0:33:28.400 --> 0:33:30.520
<v Speaker 13>spend in foundation models went up six point five x

0:33:30.600 --> 0:33:32.680
<v Speaker 13>from a billion in twenty twenty three to six point

0:33:32.720 --> 0:33:34.960
<v Speaker 13>five billion in twenty twenty four. That's a huge increase.

0:33:35.320 --> 0:33:37.080
<v Speaker 13>And as you mentioned earlier, we saw the amount of

0:33:37.120 --> 0:33:39.520
<v Speaker 13>spending the application layer go up about eight x to

0:33:39.600 --> 0:33:42.320
<v Speaker 13>about four point six billion dollars in twenty twenty four.

0:33:42.400 --> 0:33:44.440
<v Speaker 13>So the dollars are flowing in both directions.

0:33:44.440 --> 0:33:46.840
<v Speaker 2>Frankly and you mentioned some of the sectors where this

0:33:46.920 --> 0:33:48.680
<v Speaker 2>makes most obvious sense, and we've had a lot of

0:33:48.680 --> 0:33:52.080
<v Speaker 2>these these startup founders on the show that are particularly

0:33:52.120 --> 0:33:55.240
<v Speaker 2>helping serve the legal industry, the healthcare industry.

0:33:55.560 --> 0:33:57.360
<v Speaker 4>How much money.

0:33:57.040 --> 0:34:01.680
<v Speaker 2>Are you starting to see these ultimate end clients purchasing?

0:34:01.840 --> 0:34:03.880
<v Speaker 2>How much are we seeing product market fit? How much

0:34:03.960 --> 0:34:06.920
<v Speaker 2>we actually seeing clients spend money on these products.

0:34:07.720 --> 0:34:09.960
<v Speaker 13>I think that we call it PMF in the venture industry,

0:34:09.960 --> 0:34:12.200
<v Speaker 13>a product market fit that you know, it's definitely there

0:34:12.400 --> 0:34:16.160
<v Speaker 13>right You know, I have a legal type startup called

0:34:16.200 --> 0:34:20.000
<v Speaker 13>Eve that's seeing huge, huge benefit from plaintiff side case management,

0:34:20.200 --> 0:34:22.360
<v Speaker 13>and the throughput is definitely there, So you know, plaintiff

0:34:22.360 --> 0:34:24.400
<v Speaker 13>sid lawyers are getting the benefit and they're spending the

0:34:24.440 --> 0:34:26.680
<v Speaker 13>dollars and you know, like you asked earlier, the product

0:34:26.719 --> 0:34:29.040
<v Speaker 13>market fit is certainly there right now, and people are

0:34:29.040 --> 0:34:30.960
<v Speaker 13>buying up and slaping up the software left and right.

0:34:31.000 --> 0:34:32.120
<v Speaker 13>So we're really excited.

0:34:32.440 --> 0:34:36.400
<v Speaker 2>But everyone keeps on question return on AI investment. Are

0:34:36.440 --> 0:34:40.160
<v Speaker 2>these companies in healthcare, in the legal services finding that

0:34:40.239 --> 0:34:41.840
<v Speaker 2>it's productivity that gets boosted?

0:34:41.920 --> 0:34:43.720
<v Speaker 4>What else is giving them the return?

0:34:44.520 --> 0:34:44.680
<v Speaker 14>Oh?

0:34:44.719 --> 0:34:46.200
<v Speaker 13>Absolutely, I mean they're not going to be buying the

0:34:46.239 --> 0:34:48.480
<v Speaker 13>software for not getting the value. So you know, we

0:34:48.560 --> 0:34:50.880
<v Speaker 13>hear it anecdotally from folks that they're getting tons and

0:34:50.880 --> 0:34:52.480
<v Speaker 13>tons of value out of software and the spend is

0:34:52.520 --> 0:34:55.239
<v Speaker 13>just increasingly rapidly. So you can imagine that the value

0:34:55.280 --> 0:34:55.919
<v Speaker 13>is certainly there.

0:34:56.239 --> 0:35:00.279
<v Speaker 2>Push us forward, because where is the next vang god

0:35:00.560 --> 0:35:04.200
<v Speaker 2>of money to be made within the AI hype cycle

0:35:04.480 --> 0:35:05.560
<v Speaker 2>or AI reality?

0:35:05.640 --> 0:35:07.919
<v Speaker 4>Tim, Where else are you looking to put money to work?

0:35:09.000 --> 0:35:11.479
<v Speaker 13>Yeah, I mean it's really focused around the application layer

0:35:11.800 --> 0:35:15.320
<v Speaker 13>right now. I think architectures like I mentioned earlier are settled,

0:35:15.520 --> 0:35:17.520
<v Speaker 13>and because the architectures are settled, makes it easier to

0:35:17.520 --> 0:35:19.440
<v Speaker 13>build the applications, and so you're going to see the

0:35:19.520 --> 0:35:22.560
<v Speaker 13>velocity of applications come out much much more quickly. So,

0:35:22.840 --> 0:35:28.120
<v Speaker 13>you know, I think legal definitely, workflow, automation, chat, customer

0:35:28.120 --> 0:35:31.520
<v Speaker 13>support is certainly a space marketing human resources.

0:35:31.560 --> 0:35:33.720
<v Speaker 1>So I think I think really any vertical.

0:35:33.520 --> 0:35:37.040
<v Speaker 13>Right now is right for a disruption for AI AI.

0:35:36.840 --> 0:35:39.839
<v Speaker 2>Right now, Tim Tally come back when you're starting to

0:35:40.160 --> 0:35:41.920
<v Speaker 2>write even more of those checks to some of these

0:35:41.960 --> 0:35:44.640
<v Speaker 2>new companies men Ventures partner, it's great to have you on.

0:35:52.840 --> 0:35:55.360
<v Speaker 15>Creators from all around the world come to TikTok that

0:35:55.400 --> 0:35:59.240
<v Speaker 15>the discovered to find an audience to live their dreams

0:35:59.280 --> 0:35:59.960
<v Speaker 15>of fame and for.

0:36:01.640 --> 0:36:01.799
<v Speaker 13>Now.

0:36:02.040 --> 0:36:06.520
<v Speaker 15>In addition to launching countless Global Stars, the discovery and

0:36:06.600 --> 0:36:10.520
<v Speaker 15>authenticity that defined the TikTok experience, I've also made the

0:36:10.560 --> 0:36:14.520
<v Speaker 15>platform home the serious issues that are vital to the

0:36:14.520 --> 0:36:15.200
<v Speaker 15>global good.

0:36:16.840 --> 0:36:18.680
<v Speaker 4>Talking about the positive angles of TikTok.

0:36:18.719 --> 0:36:21.400
<v Speaker 2>They're the CEO show cho recently speaking in at Apex

0:36:21.400 --> 0:36:24.120
<v Speaker 2>in Peru. Back in the United States, questions about the

0:36:24.120 --> 0:36:27.080
<v Speaker 2>future of the app continue to loom. That says lawmakers

0:36:27.719 --> 0:36:29.840
<v Speaker 2>potentially going to be looking at changing all of it

0:36:29.880 --> 0:36:33.000
<v Speaker 2>within the administration. Right now, in Washington, Project Liberty is

0:36:33.040 --> 0:36:35.960
<v Speaker 2>hosting its inaugural summit on the Future of the Internet

0:36:36.360 --> 0:36:39.160
<v Speaker 2>to explore how policymakers and citizens can come together to

0:36:39.200 --> 0:36:41.759
<v Speaker 2>create a better online experience for all Americans.

0:36:42.200 --> 0:36:44.400
<v Speaker 4>Here with the future of TikTok and the Internet.

0:36:44.520 --> 0:36:47.440
<v Speaker 2>Rit large Frankmincourt, junior founder of Project Liberty, and before

0:36:47.440 --> 0:36:51.040
<v Speaker 2>we get onto your bid and interest in TikTok, just

0:36:51.080 --> 0:36:53.080
<v Speaker 2>tell us a little bit more about the summit that

0:36:53.120 --> 0:36:55.520
<v Speaker 2>you're having, because it's all about trying to have whether

0:36:55.560 --> 0:36:58.560
<v Speaker 2>it's lawmakers or whether it's TikTok creators in and of

0:36:58.600 --> 0:37:00.960
<v Speaker 2>themselves talking about their experience on the Internet and how

0:37:01.000 --> 0:37:01.800
<v Speaker 2>it can be improved.

0:37:01.920 --> 0:37:05.040
<v Speaker 14>Right, yeah, exactly, Caroly, Nice to see you again. And

0:37:05.960 --> 0:37:09.520
<v Speaker 14>it's really a great gathering of many, many different people,

0:37:09.560 --> 0:37:13.080
<v Speaker 14>nearly five hundred people here, almost one hundred speakers, really

0:37:13.120 --> 0:37:17.600
<v Speaker 14>brilliant people who are really concerned about our broken internet

0:37:17.640 --> 0:37:20.200
<v Speaker 14>and want to fix it. It's not just complain about it.

0:37:20.600 --> 0:37:24.120
<v Speaker 14>And so as you pointed out, it's an array of folks,

0:37:24.200 --> 0:37:28.080
<v Speaker 14>not just technologists or just investors, or just influences or

0:37:28.200 --> 0:37:31.200
<v Speaker 14>just parents. It's all of the above plus others. So

0:37:31.280 --> 0:37:37.080
<v Speaker 14>the conversations are really really extremely interesting and the level

0:37:37.080 --> 0:37:39.319
<v Speaker 14>of energy is very high because people are talking to

0:37:39.360 --> 0:37:42.080
<v Speaker 14>people they otherwise might not be talking to if they

0:37:42.080 --> 0:37:44.399
<v Speaker 14>were just in their own bubble. So yeah, and it's

0:37:44.520 --> 0:37:48.280
<v Speaker 14>very solutions oriented. We're making a number of announcements yesterday

0:37:48.280 --> 0:37:51.600
<v Speaker 14>and today, and I'm thrilled with how things are going.

0:37:51.760 --> 0:37:53.040
<v Speaker 4>Well, let's go to solutions.

0:37:53.080 --> 0:37:56.320
<v Speaker 2>Because day one was held at the mccatt School of

0:37:56.320 --> 0:37:58.759
<v Speaker 2>Public Policy. They're very lies the idea that this might

0:37:58.800 --> 0:38:01.040
<v Speaker 2>have some sort of policy solution, and you had law

0:38:01.080 --> 0:38:04.920
<v Speaker 2>makers such as Nancy Mace, Republican and Democrat Rokana sat

0:38:05.000 --> 0:38:08.280
<v Speaker 2>down together to discuss it. Is it about government intervention

0:38:08.360 --> 0:38:09.680
<v Speaker 2>here or is it some other solution.

0:38:10.280 --> 0:38:12.200
<v Speaker 14>Yeah, Well, the point I made yesterday and I had

0:38:12.200 --> 0:38:14.799
<v Speaker 14>the privilege of helping start that school a decade ago,

0:38:15.440 --> 0:38:19.480
<v Speaker 14>is that, you know, I started this adventure thinking that

0:38:19.520 --> 0:38:22.920
<v Speaker 14>maybe policy intervention was the answer.

0:38:23.000 --> 0:38:24.440
<v Speaker 1>That you could see a decade ago that.

0:38:24.440 --> 0:38:26.840
<v Speaker 14>The Internet was headed in a not a great direction

0:38:26.920 --> 0:38:28.320
<v Speaker 14>and it could do a lot of harm, which it

0:38:28.360 --> 0:38:31.960
<v Speaker 14>has subsequently done. Well, maybe we can help get the

0:38:32.000 --> 0:38:34.239
<v Speaker 14>policy making apparatus to get out in front of this.

0:38:34.520 --> 0:38:39.160
<v Speaker 14>Turned out that big tech is policy making is no

0:38:39.200 --> 0:38:41.560
<v Speaker 14>match for big tech. Big tech is too powerful, it's

0:38:41.600 --> 0:38:43.920
<v Speaker 14>too fast, it's too big, it's too rich, it has

0:38:44.000 --> 0:38:47.160
<v Speaker 14>too much influence, quite frankly. So that's when we launched

0:38:47.200 --> 0:38:51.000
<v Speaker 14>Project Liberty five years ago to actually reimagine how the

0:38:51.000 --> 0:38:54.319
<v Speaker 14>Internet works, build the technology, bring in partners from all

0:38:54.360 --> 0:38:57.319
<v Speaker 14>over the world who share the same concerns that we have,

0:38:57.880 --> 0:39:01.240
<v Speaker 14>which is, you know, the data that is now driving

0:39:01.239 --> 0:39:04.080
<v Speaker 14>the Internet is being scraped from us all. It's being

0:39:04.080 --> 0:39:08.319
<v Speaker 14>aggregated by big platforms, algorithms and AI being applied to it,

0:39:08.480 --> 0:39:11.520
<v Speaker 14>and we're all being stripped of our humanity and never

0:39:11.560 --> 0:39:14.040
<v Speaker 14>mind the value we create, So you know, think of

0:39:14.160 --> 0:39:17.960
<v Speaker 14>data as personhood, and we need to reclaim ownership of ourselves.

0:39:18.320 --> 0:39:20.600
<v Speaker 14>We should own and control our identity and our data.

0:39:20.640 --> 0:39:25.360
<v Speaker 14>That's fundamentally the point. And now, thankfully lots of people

0:39:25.440 --> 0:39:28.080
<v Speaker 14>around the world are recognizing this and wanting to build

0:39:28.080 --> 0:39:30.480
<v Speaker 14>this new version of the Internet, and that's what this

0:39:30.560 --> 0:39:31.120
<v Speaker 14>is about.

0:39:31.600 --> 0:39:33.400
<v Speaker 2>I want to recognize, though, on the flip side, that

0:39:34.000 --> 0:39:37.160
<v Speaker 2>a lot of this social media has good in It

0:39:37.200 --> 0:39:41.200
<v Speaker 2>has connections, helps people who feel alone in certain parts

0:39:41.239 --> 0:39:43.920
<v Speaker 2>of the world, who don't see identity that they resemble

0:39:44.200 --> 0:39:48.880
<v Speaker 2>near them, find community online. There's social there's businesses that

0:39:48.920 --> 0:39:51.719
<v Speaker 2>are built on these social media platforms. So there is

0:39:52.000 --> 0:39:53.120
<v Speaker 2>positive as well.

0:39:53.000 --> 0:39:54.919
<v Speaker 4>As some of the harms. And I'm interested as.

0:39:54.800 --> 0:39:56.640
<v Speaker 2>To when you look at making a bid for TikTok,

0:39:56.640 --> 0:39:59.600
<v Speaker 2>for example, how you support the positive at the same

0:39:59.600 --> 0:40:03.280
<v Speaker 2>time as having some sort of decentralized social network protocol

0:40:03.320 --> 0:40:05.680
<v Speaker 2>that allows people to perhaps keep their identity a little

0:40:05.719 --> 0:40:06.120
<v Speaker 2>bit more.

0:40:06.719 --> 0:40:09.600
<v Speaker 14>Yeah, there's massive good that can come out of technology,

0:40:09.640 --> 0:40:11.759
<v Speaker 14>massive good that can come out of social media. But

0:40:11.800 --> 0:40:13.520
<v Speaker 14>we don't have to have all the bad as well.

0:40:13.560 --> 0:40:15.759
<v Speaker 14>I mean, it's just it's not like way, this is

0:40:15.800 --> 0:40:18.520
<v Speaker 14>some good, So let's accept the bad. We want to

0:40:18.560 --> 0:40:24.319
<v Speaker 14>have a Internet technology that really is amplifying good. It's

0:40:24.440 --> 0:40:29.239
<v Speaker 14>really optimizing for people, it's really protecting children, it's strengthening democracy,

0:40:29.320 --> 0:40:32.319
<v Speaker 14>it's helping us get smarter, not dumber. And so what

0:40:32.360 --> 0:40:34.440
<v Speaker 14>we want to do with TikTok is actually move the

0:40:34.520 --> 0:40:37.080
<v Speaker 14>user base over by the way, we don't want to

0:40:37.080 --> 0:40:39.160
<v Speaker 14>see it shut down either. We want to move the

0:40:39.280 --> 0:40:43.120
<v Speaker 14>user base over to this open source protocol where people

0:40:43.160 --> 0:40:46.319
<v Speaker 14>can own and control their identity and their data, and

0:40:46.920 --> 0:40:51.359
<v Speaker 14>the value proposition is shared with the users. I want

0:40:51.400 --> 0:40:53.640
<v Speaker 14>to see this, at least a portion of it green

0:40:53.640 --> 0:40:55.680
<v Speaker 14>Bay Packerd. And what I mean by that, just as

0:40:55.719 --> 0:40:58.480
<v Speaker 14>the fans own the green Bay Packer football team, let

0:40:58.560 --> 0:41:01.560
<v Speaker 14>those that are on tikto talk that create the value

0:41:01.719 --> 0:41:03.040
<v Speaker 14>on a piece of the platform.

0:41:03.480 --> 0:41:06.080
<v Speaker 4>How likely is that within the next administration.

0:41:07.120 --> 0:41:08.400
<v Speaker 14>It's it's a great question.

0:41:09.120 --> 0:41:10.840
<v Speaker 1>I'm not sure. I've heard.

0:41:12.360 --> 0:41:15.759
<v Speaker 14>President elect Trump say he doesn't want to ban TikTok either. Uh,

0:41:16.760 --> 0:41:20.560
<v Speaker 14>we're waiting on the legal decision. The Congress passed a

0:41:20.600 --> 0:41:25.560
<v Speaker 14>piece of legislation, UH, really demanding that it either be

0:41:25.560 --> 0:41:28.360
<v Speaker 14>shut down or bandits that much of a national security threat.

0:41:28.400 --> 0:41:30.839
<v Speaker 14>So I assume that it will be sold and then

0:41:31.200 --> 0:41:33.480
<v Speaker 14>we're in a position to buy it. Uh you know

0:41:33.480 --> 0:41:36.600
<v Speaker 14>when and if it is sold. So we're watching very carefully.

0:41:36.600 --> 0:41:38.719
<v Speaker 14>We expect the legal decision will be the first week

0:41:38.760 --> 0:41:41.040
<v Speaker 14>of December, and then we'll see what the new Trump

0:41:41.080 --> 0:41:44.640
<v Speaker 14>administration does. But uh, we're here ready to buy it.

0:41:44.680 --> 0:41:46.520
<v Speaker 14>And again it's not me buying it. I don't want

0:41:46.520 --> 0:41:49.719
<v Speaker 14>to be the CEO of TikTok. Uh I want to

0:41:49.840 --> 0:41:51.719
<v Speaker 14>I want the people to buy it. This is a

0:41:51.760 --> 0:41:55.920
<v Speaker 14>great opportunity to catalyze an alternative internet. And you know,

0:41:56.400 --> 0:41:59.560
<v Speaker 14>the technology is here, it's working. We have nearly a

0:41:59.560 --> 0:42:03.120
<v Speaker 14>million people using this new technology. Now we need scale.

0:42:03.160 --> 0:42:04.799
<v Speaker 1>TikTok would provide scale.

0:42:04.960 --> 0:42:08.440
<v Speaker 2>A McCourt junior come back after those December dates, founder

0:42:08.480 --> 0:42:09.280
<v Speaker 2>of Project Liberty.

0:42:09.520 --> 0:42:09.880
<v Speaker 4>Thank you.

0:42:10.160 --> 0:42:12.680
<v Speaker 2>I'll let you continue with the summit. Now, let's just

0:42:12.960 --> 0:42:15.919
<v Speaker 2>take a look at what's happened to this market this week.

0:42:15.960 --> 0:42:17.600
<v Speaker 4>A big round trip for Nvidio.

0:42:17.800 --> 0:42:20.320
<v Speaker 2>We're up a tenth of a percent after its earnings

0:42:20.320 --> 0:42:21.280
<v Speaker 2>came out on Wednesday.

0:42:21.520 --> 0:42:23.360
<v Speaker 4>We are currently off by more than three percent on

0:42:23.400 --> 0:42:23.719
<v Speaker 4>the day.

0:42:23.800 --> 0:42:28.080
<v Speaker 2>But stability in Nvidia, the world's most valuable publicly traded company,

0:42:28.160 --> 0:42:30.640
<v Speaker 2>after those results and Ana's TEK one hundred. We're at

0:42:30.680 --> 0:42:32.520
<v Speaker 2>one point seven percent on the week, just making back

0:42:32.560 --> 0:42:34.960
<v Speaker 2>some of the losses of the previous week, and we're still.

0:42:34.800 --> 0:42:36.000
<v Speaker 4>Higher in the month of November.

0:42:36.040 --> 0:42:41.000
<v Speaker 2>Remember bitcoin never ending ninety nine thousand, one hundred, we

0:42:41.040 --> 0:42:43.440
<v Speaker 2>are ever close to the psychological level of one hundred

0:42:43.440 --> 0:42:44.760
<v Speaker 2>thousand dollars per bitcoin.

0:42:45.320 --> 0:42:47.239
<v Speaker 4>Eight percent on the day. That does it for this

0:42:47.360 --> 0:42:48.480
<v Speaker 4>edition of Bloomberg Technology.

0:42:49.120 --> 0:42:51.840
<v Speaker 2>Check it all out on the podcast, Apple, Spotify, and

0:42:51.880 --> 0:42:53.120
<v Speaker 2>iHeart This is Bloomberg