WEBVTT - TSMC's AI Boost and the Microsoft-Activision Deal

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<v Speaker 1>From Mahart.

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<v Speaker 2>We're Innovation of Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline Heind at Bloomberg's world headquarters in New York.

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<v Speaker 4>Ed Ludlow here in San Francisco. This is Bloomberg Technology.

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<v Speaker 3>Coming up this hour the AI hypercycle.

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<v Speaker 5>It's helping TSMC, the company reporting better than expected sales

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<v Speaker 5>on that boom in artificial intelligence applications demand. But can

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<v Speaker 5>it support the second half? We break down the numbers, plus.

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<v Speaker 4>The fate of microsoft sixty nine billion dollar takeover of

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<v Speaker 4>Activision Blizzard. It's in the hands of a judge, but

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<v Speaker 4>it was merger arbitrage specialist glued to the core in

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<v Speaker 4>San Francisco, some even paying line sitters to snag a

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<v Speaker 4>seat at high stakes hearing.

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<v Speaker 5>We have the story and Meta's newest social app, Threads

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<v Speaker 5>topping one hundred million users.

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<v Speaker 3>Less than five days.

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<v Speaker 5>Can this hype cycle hold for first TSMC, Let's bring

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<v Speaker 5>in our in house expert and another than bloom Legs,

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<v Speaker 5>Ian King, another brit to add to the mix today.

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<v Speaker 5>And Ian is it because we've seen the stock already

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<v Speaker 5>outperform so much that we're seeing a little bit of

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<v Speaker 5>weakness or is it more that we're worried about the

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<v Speaker 5>second half.

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<v Speaker 1>I mean it's a mixture of both there.

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<v Speaker 6>I mean, the way to look at this performances really well,

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<v Speaker 6>it's not as bad as people thought it might be.

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<v Speaker 1>I mean that there are no runaway.

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<v Speaker 6>Expectations of things getting better here. It's just like, well,

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<v Speaker 6>they kind of did better in a way that we

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<v Speaker 6>may have expected, and things really for the majority of

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<v Speaker 6>their business, which is really the smartphone industry, just still

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<v Speaker 6>doesn't look that good.

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<v Speaker 4>If we simplify the story, TSNC is a contract manufacturer.

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<v Speaker 4>It makes chips for others who design them. The story

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<v Speaker 4>smartphone PC bad it basically.

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<v Speaker 1>Yeah, no, that's absolutely it.

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<v Speaker 6>I mean forty percent of around forty percent of their

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<v Speaker 6>sales are from the smartphone industry, and that's going an

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<v Speaker 6>industry that's going to be down roughly ten percent this year,

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<v Speaker 6>so not not brilliant at all, and that obviously has

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<v Speaker 6>wider implications. On the other side, high performance computing, which

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<v Speaker 6>is PCs, but also the data center.

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<v Speaker 1>And as we've seen, if you've.

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<v Speaker 6>Got people like in video giving you orders, giving you

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<v Speaker 6>orders for very expensive chips and that's a good place

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<v Speaker 6>to be.

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<v Speaker 5>Yeah, it is, and for many the warriors and constraints

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<v Speaker 5>have been on the supply side.

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<v Speaker 3>How much is that t SMC is concerned right now?

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<v Speaker 1>Not so much anymore.

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<v Speaker 6>I mean, I think everybody would like to see, you know,

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<v Speaker 6>a lot more volume. What we're seeing in terms of

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<v Speaker 6>this better than expected performance is really a value story,

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<v Speaker 6>right you know, you're looking at a smartphone chip which

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<v Speaker 6>is thirty forty, you know, thirty four dollars ago compared

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<v Speaker 6>to some of Invideo's chips which are in the thousands. Obviously,

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<v Speaker 6>if you're selling chips that cost the thousands, then your

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<v Speaker 6>margins are really good and that helps your revenue where

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<v Speaker 6>really you want those factories full as well, and that's

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<v Speaker 6>going to get you, you know, your gross margins.

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<v Speaker 4>We've been talking a lot about an AI hype cycle,

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<v Speaker 4>but in Caroline this is interesting. Behind the scenes, Ian

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<v Speaker 4>has been teaching me things which sometimes goes well, sometimes

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<v Speaker 4>does in h one hundred a one hundred. These are

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<v Speaker 4>high power gpups, very specific use case to the training

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<v Speaker 4>and inference side of large language models. You still need

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<v Speaker 4>the memory chips.

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<v Speaker 1>Correct.

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<v Speaker 4>Why explain why being on the same board GPU, CPU

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<v Speaker 4>DRAM is important.

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<v Speaker 6>It's all about data sets, right. The bigger the data set,

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<v Speaker 6>the more parameters, the more information, the better your calculations are,

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<v Speaker 6>the better you can train it, and the better your

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<v Speaker 6>influences down the line. What do you need to handle

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<v Speaker 6>those larger data sets? Better storage and bigger lumps of

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<v Speaker 6>memory that sit next to those processes. So in theory, Micron, SAMs, Heinix,

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<v Speaker 6>all of those other companies should be benefiting from this. Unfortunately,

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<v Speaker 6>smartphones PC's not great.

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<v Speaker 4>Bloombo c and King mister Chip we call him, thank

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<v Speaker 4>you very much. Now, coming up, what the fate of

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<v Speaker 4>the Microsoft Activision deal in the video game space has

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<v Speaker 4>in store for that industry at large. We're going to

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<v Speaker 4>discuss all that with Convoy Ventures Josh Chapman, a VC

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<v Speaker 4>whose singular focus is the video games industry. Speaking of

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<v Speaker 4>take a look at shares of both Microsoft and Activision.

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<v Speaker 4>We expect imminently the judge to decide an outcome in

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<v Speaker 4>the FTC hearing or trial for a temporary block on

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<v Speaker 4>that deal. Activision off half a percentage point, a soft

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<v Speaker 4>proxy for the direction of travel where investors see this going.

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<v Speaker 4>But as we've discussed Microsoft down two point six percent,

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<v Speaker 4>really big points drag on the nasat one hundred. This

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<v Speaker 4>is Bloombog Technology. The Microsoft Activision deal is the biggest

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<v Speaker 4>video gaming and tech deal ever, and it's pretty important

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<v Speaker 4>for the arbitrage community too. Portfolio managers, analysts, and specialized

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<v Speaker 4>brokers who bet on whether mergers will go through flew

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<v Speaker 4>in from all over the country to sit in on

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<v Speaker 4>the hearing over Microsoft's takeover deal here in San Francisco.

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<v Speaker 4>Bloomberg's Maltin Nayak is here for more. So you've spent

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<v Speaker 4>days and days in that court room.

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<v Speaker 3>It was a five day hearing, yes.

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<v Speaker 4>Alongside some suited and booted individuals. Who are they and

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<v Speaker 4>why they're there?

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<v Speaker 7>So, you know, I was interested to see some linstitters

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<v Speaker 7>and then I noticed that they made way for folks

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<v Speaker 7>in suits and formal clothes and they really stood out

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<v Speaker 7>in San Francisco. So I was wondering, you know, who

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<v Speaker 7>they were, And it turns out that they were merger

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<v Speaker 7>arbitragers and analysts, you know who were there to just

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<v Speaker 7>see what was going on, and they were taking notes,

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<v Speaker 7>you know, feverishly and keeping a very close eye on,

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<v Speaker 7>you know, all the little grimaces and and sort of

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<v Speaker 7>the body language of the judge.

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<v Speaker 5>New Yorkers be busted and go to herself in your suits.

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<v Speaker 5>Malthe what's interesting is, of course they're trying to discern

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<v Speaker 5>any frowns, any facial movements, basically how this court case

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<v Speaker 5>is going. From your writing, it seems that perhaps not

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<v Speaker 5>to or the FDC's advantage.

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<v Speaker 7>It definitely seems like from the last round of questioning

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<v Speaker 7>by the judge in the last day, she really grilled

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<v Speaker 7>the FTC and asked for a lot of evidence that

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<v Speaker 7>wasn't really produced in court. So it definitely seems like

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<v Speaker 7>right now the companies have the upper hand. But you

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<v Speaker 7>never know with judges, some of them, you know, they

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<v Speaker 7>may ask a lot of questions in court, but they

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<v Speaker 7>won't go very far in terms of taking drastic steps

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<v Speaker 7>like blocking a deal. So we'll have to see how

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<v Speaker 7>it all plays out. But definitely the sentiment now is

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<v Speaker 7>among the ubtraged community even that perhaps the companies right

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<v Speaker 7>now things are looking.

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<v Speaker 3>Good for them.

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<v Speaker 4>So there are some things we need to consider about

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<v Speaker 4>outcomes and scenarios if this goes in Microsoft and acts

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<v Speaker 4>visions favor. There is a deadline on the deal. We've

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<v Speaker 4>got to think about that. The UK has a completely

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<v Speaker 4>separate regulatory process going bring us up to speed on

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<v Speaker 4>what might happen next.

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<v Speaker 7>So we have this July eighteen deadline that's looming and

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<v Speaker 7>the companies have to move quickly to close the deal.

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<v Speaker 7>So everyone is waiting for this ruling to come down

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<v Speaker 7>from the judge. That will sort of be the first

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<v Speaker 7>round in the fight with the FTC, which is trying

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<v Speaker 7>to temporarily block its deal. Block the deal right now.

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<v Speaker 7>So also UK regulators have said that this deal won't

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<v Speaker 7>you know, have said that this deal can't go through.

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<v Speaker 7>So we have Microsoft which is appealed that decision. We'll

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<v Speaker 7>have to see what happens in terms of how they

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<v Speaker 7>plan to close the deal around that. There could be

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<v Speaker 7>a scenario where they just decide to go ahead and

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<v Speaker 7>close the deal, but you know, keep the board the

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<v Speaker 7>entity separate for a while.

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<v Speaker 3>Perhaps they could do.

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<v Speaker 7>That globally or only in the UK. So we'll have

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<v Speaker 7>to see how that works out in terms of how

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<v Speaker 7>you know, they work around the UK decision and sort

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<v Speaker 7>of the appeals process around that.

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<v Speaker 5>July eighteenth clock is ticking. Mauthy Nayak, thank you so

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<v Speaker 5>much for bringing us, well the legal expertise, what's happening

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<v Speaker 5>in the courtroom, let's look at how it affects the ecosystem.

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<v Speaker 5>When please to welcome Josh Chapman, managing partner at Convoy

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<v Speaker 5>It's and Denver based VC firm investing in all things gaming. Josh,

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<v Speaker 5>great to have you back on. And does this affect

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<v Speaker 5>the ecosystem?

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<v Speaker 3>If it doesn't go through, it does affect the ecosystem.

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<v Speaker 8>So right now there's about forty five billion that's sitting

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<v Speaker 8>in cash on the gaming corporates, and then secondarily there's

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<v Speaker 8>about one hundred and seventy five billion that's sitting on

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<v Speaker 8>the balance sheets of tech companies that have gaming divisions,

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<v Speaker 8>such as Meta or Microsoft. So this ruling certainly does

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<v Speaker 8>have quite an impact on what's going to happen next

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<v Speaker 8>around vertical integration and m and A in the gaming industry.

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<v Speaker 5>And of course ed the argument, for example in the

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<v Speaker 5>UK has been about the cloud element is gaming in particular.

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<v Speaker 4>Yeah, And what's so interesting is when I had Bobby

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<v Speaker 4>Kotik on the show a few weeks ago, he said,

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<v Speaker 4>this isn't anything to do with cloud. It's a tiny market.

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<v Speaker 4>We're not there yet. We write time and again Josh

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<v Speaker 4>and all blame bag news stories that this deal will

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<v Speaker 4>reshape the landscape for video games as an industry.

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<v Speaker 8>Does it in part, It doesn't reshape it in the

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<v Speaker 8>sense of sort of upending the entire console market. If anything,

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<v Speaker 8>this is a continuation of very competitive and healthy competitive markets.

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<v Speaker 9>Right.

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<v Speaker 8>I personally, I'm on the side of I don't believe

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<v Speaker 8>that this acquisition is anti competitive, and so from a

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<v Speaker 8>cloud gaming perspective, Microsoft actually is the perfect cloud infrastructure

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<v Speaker 8>platform to build an entirely new market. In addition to

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<v Speaker 8>not only cloud gaming seeing more competition, and you also

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<v Speaker 8>see the rise of more competition in the mobile market

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<v Speaker 8>the Xbox game Pass mobile store that they want to launch.

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<v Speaker 8>So this adds a ton of competition already to the industry,

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<v Speaker 8>and so it certainly, you know, they could actually be

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<v Speaker 8>responsible for creating an entire cloud gaming market.

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<v Speaker 4>When you think about some of the compromises offering Call

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<v Speaker 4>of Duty on other platforms as an example, what kind

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<v Speaker 4>of disruption does that give the industry? Because it changes

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<v Speaker 4>how players have historically accessed those games. There's a lot

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<v Speaker 4>of loyalty, right you're either PlayStation, Xbox, you're a PC gamer,

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<v Speaker 4>does that mess things up a bit?

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<v Speaker 1>I don't think it messes it up.

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<v Speaker 8>If anything, I think it actually keeps the plane field

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<v Speaker 8>across gaming, specifically with Call of Duty, which is really

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<v Speaker 8>the number one topic right now. Right now, Call of

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<v Speaker 8>Duty is played by about a million people on PlayStation,

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<v Speaker 8>So from an economic incentive perspective, Xbox has no economic

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<v Speaker 8>incentive to remove that game from Sony, and so Sony

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<v Speaker 8>wants Call of Dude to succeed, and so does Microsoft

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<v Speaker 8>and definitely obviously the activision Blizzard. So when it comes

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<v Speaker 8>to what's next, I think that you could see the

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<v Speaker 8>rise of cloud gaming being a sort of more affordable

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<v Speaker 8>way for people to gain which would be great for

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<v Speaker 8>people who don't want to buy, you know, and invest

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<v Speaker 8>five hundred to fifteen hundred dollars into an Xbox or

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<v Speaker 8>the latest PlayStation. So I think this is a netwind

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<v Speaker 8>for the consumer. I think over time you're going to

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<v Speaker 8>see increasingly more cross platform games like Fortnite, like Call

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<v Speaker 8>of Duty, and I think that that will continue and

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<v Speaker 8>gaming is going to thrive under the approval of this acquisition.

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<v Speaker 5>Okay, Josh, if it doesn't get approved, how does that

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<v Speaker 5>change your own investment thesis?

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<v Speaker 3>Do you hold back in terms of writing checks At

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<v Speaker 3>the moment.

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<v Speaker 8>We wouldn't hold back, So we focus on seeds series

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<v Speaker 8>of investing, writing one to five million dollar checks primarily

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<v Speaker 8>into technologies, platforms, and infrastructure of the gaming industry. So

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<v Speaker 8>we will continue investing in at early stage, which is

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<v Speaker 8>proveing to be quite vibrant right now. But from an

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<v Speaker 8>m and a landscape for our companies once they get

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<v Speaker 8>to later stages that is actually where this could have

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<v Speaker 8>an impact. Is are vertical integrations and mergers and acquisitions

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<v Speaker 8>going to be approved? And I think, as I mentioned earlier,

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<v Speaker 8>with some of the cash that's out there waiting to

0:11:58.480 --> 0:12:04.000
<v Speaker 8>acquire great companies, they might be more hesitant because of

0:12:04.040 --> 0:12:07.680
<v Speaker 8>regulatory concerns versus pure economic deal making.

0:12:08.720 --> 0:12:11.240
<v Speaker 4>Josh, this is the first opportunity I've had to ask

0:12:11.320 --> 0:12:14.640
<v Speaker 4>you about Apple Vision pro and gaming. What do you

0:12:14.679 --> 0:12:15.160
<v Speaker 4>make of it?

0:12:16.360 --> 0:12:18.280
<v Speaker 8>I think we're a long way off from the vision

0:12:18.280 --> 0:12:22.240
<v Speaker 8>that we saw pitched. I think that it is very cool.

0:12:22.480 --> 0:12:26.400
<v Speaker 8>This is going to be great for very solo experiences.

0:12:26.920 --> 0:12:29.120
<v Speaker 8>But I view this as sort of one of the

0:12:29.920 --> 0:12:31.800
<v Speaker 8>just like the first Oculis that came out. If you

0:12:31.800 --> 0:12:34.720
<v Speaker 8>remember that ed everyone was very excited about it, but

0:12:34.760 --> 0:12:38.280
<v Speaker 8>true adoption didn't happen until five six, eight years later,

0:12:38.640 --> 0:12:42.080
<v Speaker 8>so I think that the augmented reality world is coming

0:12:42.280 --> 0:12:46.360
<v Speaker 8>and will absolutely be here. We actually got excited about

0:12:46.360 --> 0:12:48.439
<v Speaker 8>one of the other announcements they made where they are

0:12:48.480 --> 0:12:53.079
<v Speaker 8>actually launching a gaming operating system to turn their PC

0:12:53.280 --> 0:12:57.280
<v Speaker 8>industry with the Mac into a gaming platform. That actually

0:12:57.400 --> 0:12:59.000
<v Speaker 8>kind of went under the radar but was one of

0:12:59.000 --> 0:13:01.560
<v Speaker 8>the most exciting things you were watching is that they're

0:13:01.600 --> 0:13:05.160
<v Speaker 8>opening up the ability to run high performing games on

0:13:05.240 --> 0:13:08.280
<v Speaker 8>top of Max. That will be much more impactful. I

0:13:08.280 --> 0:13:10.480
<v Speaker 8>think in four or five six years the Vision pro

0:13:10.920 --> 0:13:14.400
<v Speaker 8>will enter certainly a more affordable price entry point for

0:13:14.440 --> 0:13:18.200
<v Speaker 8>the consumer. But like many things, this is about wow

0:13:18.400 --> 0:13:21.680
<v Speaker 8>now and then leader CEMTS Adoption.

0:13:22.559 --> 0:13:26.679
<v Speaker 4>Josh Chapman, managing partner at Convoy also talking all things Activision, Microsoft,

0:13:26.679 --> 0:13:29.240
<v Speaker 4>and we are expecting any day now the judge to

0:13:29.280 --> 0:13:41.520
<v Speaker 4>make a decision in that FTC pause request time for

0:13:41.600 --> 0:13:44.200
<v Speaker 4>talking tech First up and ton Ali Barbara are paying

0:13:44.240 --> 0:13:47.800
<v Speaker 4>the price for Jackmar's clash with the Chinese government. On Friday,

0:13:48.080 --> 0:13:51.360
<v Speaker 4>Beijing announced a nearly one billion dollar fine four ANC Group,

0:13:51.480 --> 0:13:53.880
<v Speaker 4>but it's signaled an end to a regulatory crackdown. Now,

0:13:53.920 --> 0:13:57.120
<v Speaker 4>Jack Mars, Ali Barba and out Group have collectively lost

0:13:57.120 --> 0:14:00.600
<v Speaker 4>eight hundred and fifty billion dollars in value since twenty

0:14:00.760 --> 0:14:03.400
<v Speaker 4>with Ali Barber's market value off by about six hundred

0:14:03.400 --> 0:14:06.200
<v Speaker 4>and twenty billion from its peak, according to data compiled

0:14:06.200 --> 0:14:09.600
<v Speaker 4>by Bloomberg. And Foxcott has determined it will not move

0:14:09.640 --> 0:14:13.280
<v Speaker 4>forward on a semiconductor joint venture with India's the Dana.

0:14:13.440 --> 0:14:16.600
<v Speaker 4>Fox Conn said the company aims at exploring more diverse

0:14:16.640 --> 0:14:19.800
<v Speaker 4>development opportunities and that the company is working to remove

0:14:19.840 --> 0:14:22.280
<v Speaker 4>the fox Conn name from what is now a fully

0:14:22.280 --> 0:14:26.080
<v Speaker 4>owned entity of the Danta. Plus. Amazon's annual Prime Day

0:14:26.120 --> 0:14:28.280
<v Speaker 4>isn't as popular as it used to be in the

0:14:28.320 --> 0:14:31.680
<v Speaker 4>past four years. The stock's actually fallen in the week

0:14:31.720 --> 0:14:34.920
<v Speaker 4>of the two dal day sale as investors' focus has

0:14:34.920 --> 0:14:38.520
<v Speaker 4>shifted to aws It's cloud computing business. One to watch

0:14:38.560 --> 0:14:39.400
<v Speaker 4>Carol it.

0:14:39.400 --> 0:14:41.880
<v Speaker 5>Is and let's stick on how Amazon is clearly a

0:14:41.920 --> 0:14:45.040
<v Speaker 5>company that's been embracing the world of AI like everything,

0:14:45.240 --> 0:14:48.120
<v Speaker 5>but also we'll slowly been trying to embrace healthcare offerings too.

0:14:48.360 --> 0:14:49.360
<v Speaker 3>We want to talk about.

0:14:49.120 --> 0:14:51.320
<v Speaker 5>That insect a little bit more, particularly as we recently

0:14:51.320 --> 0:14:54.920
<v Speaker 5>saw in Connecticut, consumers getting more control over how businesses

0:14:55.000 --> 0:14:57.840
<v Speaker 5>treat information about their health and data, particularly for those

0:14:57.960 --> 0:15:00.720
<v Speaker 5>aged under eighteen. Lawmakers added the new LO for example,

0:15:00.720 --> 0:15:03.120
<v Speaker 5>to the Connecticut Data Privacy Act, which to affect July.

0:15:03.200 --> 0:15:06.720
<v Speaker 5>The first joining us now about insect AI and healthcare

0:15:06.840 --> 0:15:08.200
<v Speaker 5>is an expert in the field.

0:15:08.360 --> 0:15:09.360
<v Speaker 3>When it's Sony.

0:15:09.200 --> 0:15:13.680
<v Speaker 5>SUKEAI founder and CEO, you're really trying to basically give

0:15:13.720 --> 0:15:18.320
<v Speaker 5>advantages to clinicians, in particular AI helping streamline their tasks.

0:15:18.440 --> 0:15:21.040
<v Speaker 5>How much has data and privacy been one that you've had.

0:15:20.840 --> 0:15:23.400
<v Speaker 4>To navigate significant?

0:15:23.480 --> 0:15:25.920
<v Speaker 10>I mean, you know, to be honest, the biggest public

0:15:25.920 --> 0:15:28.720
<v Speaker 10>health crisis in this country that few people talk about

0:15:28.800 --> 0:15:31.640
<v Speaker 10>is the fact that clinicians are burning out. I would

0:15:31.640 --> 0:15:34.800
<v Speaker 10>say eighty eight percent of all clinicians, by some recent

0:15:34.840 --> 0:15:38.520
<v Speaker 10>study don't recommend their own profession to their kids anymore.

0:15:38.880 --> 0:15:41.120
<v Speaker 10>For every hour of clinical work you do, you spend

0:15:41.160 --> 0:15:42.960
<v Speaker 10>two hours doing administrative work.

0:15:43.200 --> 0:15:44.400
<v Speaker 1>So it's super important to.

0:15:44.320 --> 0:15:47.680
<v Speaker 10>Actually figure out how to use AI in healthcare. And

0:15:47.720 --> 0:15:49.760
<v Speaker 10>the first place where you will start is probably an

0:15:49.800 --> 0:15:53.040
<v Speaker 10>automating clinician workflows. If you're going to do that, then

0:15:53.080 --> 0:15:56.360
<v Speaker 10>privacy data, how do you actually retain it and take

0:15:56.400 --> 0:15:58.000
<v Speaker 10>care of it becomes paramount.

0:15:58.560 --> 0:16:01.280
<v Speaker 4>We are learning on blibag technology and we have been

0:16:01.400 --> 0:16:04.200
<v Speaker 4>for a year now that when you're building a large

0:16:04.280 --> 0:16:08.080
<v Speaker 4>language model or foundation model, the quality and volume of

0:16:08.160 --> 0:16:12.480
<v Speaker 4>data is key. So how do you reconcile the need

0:16:12.520 --> 0:16:15.400
<v Speaker 4>for privacy with the need for massive volumes of data

0:16:15.960 --> 0:16:18.040
<v Speaker 4>to develop next generation technology?

0:16:18.560 --> 0:16:20.640
<v Speaker 10>You know, first of all, it's actually important to actually

0:16:20.640 --> 0:16:21.440
<v Speaker 10>talk about what.

0:16:21.320 --> 0:16:22.120
<v Speaker 9>AI really is.

0:16:22.160 --> 0:16:23.040
<v Speaker 1>The truth is here.

0:16:23.240 --> 0:16:25.880
<v Speaker 10>You know, even a dog walking app has AI these days,

0:16:25.880 --> 0:16:27.320
<v Speaker 10>and so it's a little bit of a hype cycle

0:16:27.360 --> 0:16:30.000
<v Speaker 10>that's going on. AI is a very broad term and

0:16:30.440 --> 0:16:34.520
<v Speaker 10>it goes all the way from speech technologies, speech transcription technologies,

0:16:34.960 --> 0:16:39.200
<v Speaker 10>understanding your commands, so intent extractors, large language models is

0:16:39.240 --> 0:16:41.960
<v Speaker 10>just the next generation of language model work that's happened

0:16:41.960 --> 0:16:45.080
<v Speaker 10>in AI. You can actually make a big dent in

0:16:45.120 --> 0:16:48.280
<v Speaker 10>clinical workflows by using all of these in some variety

0:16:48.320 --> 0:16:52.480
<v Speaker 10>of fashions. The truth is that the data in healthcare

0:16:52.560 --> 0:16:55.440
<v Speaker 10>is very discrete and very specific, and so therefore you

0:16:55.480 --> 0:16:59.280
<v Speaker 10>don't need tremendously large bodies of data to be able

0:16:59.320 --> 0:17:01.320
<v Speaker 10>to create that actually works in this way.

0:17:01.600 --> 0:17:03.840
<v Speaker 4>Caroline, I think we have so many founders on this show,

0:17:04.359 --> 0:17:06.679
<v Speaker 4>so many bench cats, lists and we do talk broadly

0:17:06.680 --> 0:17:10.720
<v Speaker 4>about AI. To be fair, we also find vcs that

0:17:10.760 --> 0:17:14.720
<v Speaker 4>are very specifically focused on where they're putting money thematically

0:17:15.040 --> 0:17:16.040
<v Speaker 4>or in a narrow field.

0:17:16.280 --> 0:17:18.879
<v Speaker 5>So right, think about the applications in the legal field,

0:17:18.880 --> 0:17:21.560
<v Speaker 5>we think about your application in the healthcare field, pun it.

0:17:21.680 --> 0:17:24.320
<v Speaker 5>And to that end, have you been taking a lot

0:17:24.359 --> 0:17:26.520
<v Speaker 5>more calls from people wanting to put money to work

0:17:26.520 --> 0:17:28.520
<v Speaker 5>in your own company? I know you raised funds, it's

0:17:28.520 --> 0:17:31.080
<v Speaker 5>a significant round what back in twenty twenty one, but

0:17:31.160 --> 0:17:34.240
<v Speaker 5>have you been looking at adding on in this particular realm?

0:17:34.920 --> 0:17:37.800
<v Speaker 10>Yeah, I mean the right time, that will actually become

0:17:37.880 --> 0:17:40.320
<v Speaker 10>very important, and you know, as you scale the company

0:17:40.320 --> 0:17:42.160
<v Speaker 10>you have to do that. I think the primary question

0:17:42.240 --> 0:17:44.399
<v Speaker 10>to ask is what problem are you really trying to solve?

0:17:45.080 --> 0:17:47.800
<v Speaker 10>First and foremost, we want to make sure that clinicians

0:17:47.840 --> 0:17:51.919
<v Speaker 10>don't have to really focus on these screens and typing

0:17:51.920 --> 0:17:53.920
<v Speaker 10>and checking boxes when they're actually talking.

0:17:53.720 --> 0:17:54.280
<v Speaker 1>To the patient.

0:17:54.520 --> 0:17:56.520
<v Speaker 10>I mean, imagine a world when you walk in and

0:17:56.560 --> 0:17:59.159
<v Speaker 10>you just ask, you know, Suki, which is kind of

0:17:59.200 --> 0:18:02.760
<v Speaker 10>like a SERI for doctors, what's my day like? And

0:18:02.800 --> 0:18:05.280
<v Speaker 10>it tells you here's the next few patients you're coming in, said,

0:18:05.280 --> 0:18:07.040
<v Speaker 10>give me a summary of the next patient, show me

0:18:07.080 --> 0:18:09.600
<v Speaker 10>the chest text ray, summarize the findings for me, and

0:18:09.640 --> 0:18:11.600
<v Speaker 10>then hey, let's just edit it a little bit and

0:18:11.640 --> 0:18:14.000
<v Speaker 10>push it into the underlying system of record well quickly.

0:18:14.080 --> 0:18:17.440
<v Speaker 4>The idea is that Suki does not replace human doctors,

0:18:17.600 --> 0:18:21.760
<v Speaker 4>but it is an assistant, an aid. Yes, mechanically, how

0:18:21.800 --> 0:18:22.399
<v Speaker 4>does that work?

0:18:22.480 --> 0:18:25.960
<v Speaker 10>Well, I mean, you know, imagine having something that's always

0:18:26.000 --> 0:18:29.440
<v Speaker 10>with you everywhere you go, and when you walk into

0:18:29.480 --> 0:18:31.639
<v Speaker 10>an exam room you ask it to give a summary

0:18:31.640 --> 0:18:34.240
<v Speaker 10>of the patient. When you are talking to the patient,

0:18:34.280 --> 0:18:36.560
<v Speaker 10>what about you ask Suki to pay attention and if

0:18:36.560 --> 0:18:38.760
<v Speaker 10>you'll take the doctor, patient and counter and create a

0:18:38.760 --> 0:18:41.119
<v Speaker 10>clinical note out of it. What if you edit it,

0:18:41.200 --> 0:18:43.680
<v Speaker 10>add some orders and then you say, Suki, just submit

0:18:43.720 --> 0:18:47.000
<v Speaker 10>that to the system of record. That is an assistant

0:18:47.160 --> 0:18:49.280
<v Speaker 10>for the doctor. And I think that is the future

0:18:49.280 --> 0:18:50.640
<v Speaker 10>of where healthcare text is going to be going.

0:18:50.840 --> 0:18:54.320
<v Speaker 4>Suk I founder and CEO PUNIT Sony Caroline. This is

0:18:54.320 --> 0:18:55.960
<v Speaker 4>a topic on the show that we are going to

0:18:55.960 --> 0:18:59.320
<v Speaker 4>continue talking about health in artificial intelligence.

0:19:06.440 --> 0:19:08.520
<v Speaker 5>Welcome back to lu Meg Technology. I'm Karine Hide in

0:19:08.520 --> 0:19:10.280
<v Speaker 5>New York and let's get you a quick update on

0:19:10.359 --> 0:19:12.719
<v Speaker 5>the public markets, right now halfway through the trading day,

0:19:12.760 --> 0:19:14.600
<v Speaker 5>and look a little bit more caution here in the

0:19:14.680 --> 0:19:17.360
<v Speaker 5>United States, particularly in big tech look than NASDAK more

0:19:17.400 --> 0:19:19.919
<v Speaker 5>broadly as a benchmark off by some three tenths and percent.

0:19:19.960 --> 0:19:22.240
<v Speaker 3>We've got well a very healthy jobs data that was

0:19:22.280 --> 0:19:23.200
<v Speaker 3>clear from last week.

0:19:23.400 --> 0:19:26.120
<v Speaker 5>Now we look ahead to what the CPI print inflation data.

0:19:25.920 --> 0:19:26.640
<v Speaker 3>Is going to show US.

0:19:26.560 --> 0:19:29.280
<v Speaker 5>And the Federal reserves speak ahead of them going silent

0:19:29.320 --> 0:19:32.400
<v Speaker 5>before they make the latest rate hike decision as many

0:19:32.440 --> 0:19:34.800
<v Speaker 5>are bracing for. I'm looking at the MASCI or Country

0:19:34.840 --> 0:19:35.320
<v Speaker 5>World Index.

0:19:35.320 --> 0:19:36.560
<v Speaker 3>So interestingly Europe.

0:19:36.240 --> 0:19:38.560
<v Speaker 5>Managed to pick itself up after a few days of

0:19:38.600 --> 0:19:41.480
<v Speaker 5>sell off. The macro data really out there showing that

0:19:41.640 --> 0:19:44.000
<v Speaker 5>Europe could do with a little bit more purchasing power.

0:19:44.000 --> 0:19:45.240
<v Speaker 5>On the least on the day, were seeing that the

0:19:45.280 --> 0:19:48.440
<v Speaker 5>Golden Dragon index in China showing actually there was a

0:19:48.440 --> 0:19:51.480
<v Speaker 5>little bit of a lift in Asia trading Chinese stocks

0:19:51.520 --> 0:19:53.199
<v Speaker 5>on the higher side, at least those traded in the

0:19:53.200 --> 0:19:55.280
<v Speaker 5>tech world here in the United States are one point

0:19:55.320 --> 0:19:58.119
<v Speaker 5>two percent. As we understand, the Chinese government in particular

0:19:58.240 --> 0:20:00.439
<v Speaker 5>is going to be showing some support to its property sector.

0:20:00.480 --> 0:20:01.560
<v Speaker 3>But the all.

0:20:01.760 --> 0:20:04.960
<v Speaker 5>Encompassing meaning is that maybe the Chinese economy gets a

0:20:04.960 --> 0:20:06.640
<v Speaker 5>little bit of a boost. I'm looking at the individual

0:20:06.640 --> 0:20:09.560
<v Speaker 5>movers Microsoft on the downside. Look, the Nazak one hundred

0:20:09.840 --> 0:20:13.119
<v Speaker 5>is under scrutiny because the Magnificent seven on which Microsoft

0:20:13.160 --> 0:20:15.360
<v Speaker 5>is one of them, and indeed so is Amazon. Look,

0:20:15.400 --> 0:20:17.879
<v Speaker 5>it's got two heavier waitings towards them. The outperformance of

0:20:17.880 --> 0:20:20.320
<v Speaker 5>those seven stocks means that maybe we get a rebalancing

0:20:20.359 --> 0:20:22.520
<v Speaker 5>coming July the fourteenth. What does that mean for how

0:20:22.520 --> 0:20:25.280
<v Speaker 5>these stocks are traded in the ETF so QQQ For example,

0:20:25.400 --> 0:20:26.360
<v Speaker 5>we're currently trading.

0:20:26.160 --> 0:20:26.760
<v Speaker 3>Down by Amazon.

0:20:26.760 --> 0:20:28.560
<v Speaker 5>We look ahead to of course that all important prime

0:20:28.640 --> 0:20:31.080
<v Speaker 5>data Moorrow tomorrow kickoff and Rivia and I do this

0:20:31.119 --> 0:20:33.200
<v Speaker 5>for you, Ed because I know that you've been all

0:20:33.240 --> 0:20:36.040
<v Speaker 5>over this stock after that exclusive conversation last week.

0:20:36.320 --> 0:20:38.680
<v Speaker 3>Now nine straight days potentially a record run.

0:20:40.200 --> 0:20:41.760
<v Speaker 4>Hi, there's a good stock to watch. Thank you.

0:20:41.920 --> 0:20:42.120
<v Speaker 9>Now.

0:20:42.240 --> 0:20:46.199
<v Speaker 4>Global Data Analytics Analytics Software make a quantexa SO to

0:20:46.240 --> 0:20:49.640
<v Speaker 4>invest two hundred and fifty million US dollars into new

0:20:49.720 --> 0:20:52.560
<v Speaker 4>AI research over the next three years. The firm helps

0:20:52.720 --> 0:20:56.880
<v Speaker 4>to uncover hidden risks and opportunities for financial services businesses.

0:20:56.960 --> 0:21:02.240
<v Speaker 4>Joining us now is CONTEXTA CEO Vishal Marrier from London, Vishaw.

0:21:02.280 --> 0:21:06.119
<v Speaker 4>Is this a case of invest in AI or get

0:21:06.200 --> 0:21:06.800
<v Speaker 4>left behind?

0:21:08.640 --> 0:21:12.080
<v Speaker 11>Great question, Edain, thanks for having me on. I think

0:21:12.119 --> 0:21:14.280
<v Speaker 11>there's a couple of points here. So first and foremost,

0:21:14.400 --> 0:21:17.240
<v Speaker 11>AI machine learning has been in the DNA of context

0:21:17.480 --> 0:21:20.280
<v Speaker 11>since we started it in twenty sixteen, on the way

0:21:20.320 --> 0:21:24.399
<v Speaker 11>we unify data, contextualized data and support those insights for

0:21:24.440 --> 0:21:27.800
<v Speaker 11>our clients to make better trusted decision. Machine learning in

0:21:27.840 --> 0:21:30.040
<v Speaker 11>AI has been through the platform.

0:21:29.640 --> 0:21:30.360
<v Speaker 1>End to end.

0:21:30.760 --> 0:21:33.560
<v Speaker 11>The investments we're doing today and what we've announced this

0:21:33.640 --> 0:21:37.120
<v Speaker 11>morning is to catapult further investment in all things AI

0:21:37.119 --> 0:21:39.720
<v Speaker 11>and machine learning to better serve some of the more

0:21:40.000 --> 0:21:43.120
<v Speaker 11>harder applications when it comes down to regulated markets.

0:21:43.760 --> 0:21:46.680
<v Speaker 5>You are based in London, of course, but also here

0:21:46.680 --> 0:21:48.959
<v Speaker 5>in New York, Boston, Toronto, Malaga, you name it. You're

0:21:49.000 --> 0:21:51.960
<v Speaker 5>across Europe in particular, for shout, Where do you allocate

0:21:52.119 --> 0:21:54.560
<v Speaker 5>some of this money this investment? Is it London or

0:21:54.560 --> 0:21:55.000
<v Speaker 5>else where?

0:21:56.760 --> 0:21:57.760
<v Speaker 1>Great question, Caroline.

0:21:57.840 --> 0:22:00.840
<v Speaker 11>So we are hq'ed here in the UK, and as

0:22:00.880 --> 0:22:03.960
<v Speaker 11>you craigly state, we're in twenty plus cities worldwide and

0:22:04.119 --> 0:22:07.960
<v Speaker 11>you mentioned a few, and from the engineering perspective, our

0:22:08.320 --> 0:22:10.560
<v Speaker 11>hard of our engineering is done here in the UK.

0:22:11.000 --> 0:22:14.760
<v Speaker 11>If that's data engineers, data scientists working with the core platform,

0:22:14.880 --> 0:22:19.119
<v Speaker 11>verticalizing those applications in areas like data management, customer or

0:22:19.160 --> 0:22:22.800
<v Speaker 11>Patient three sixty, areas like KYC and AML. Many of

0:22:22.800 --> 0:22:26.160
<v Speaker 11>those applications are built here in the UK, working closely

0:22:26.200 --> 0:22:29.520
<v Speaker 11>with many of our strategic clients. And those clients, as

0:22:29.600 --> 0:22:32.119
<v Speaker 11>you said, are globally so if they're in the US

0:22:32.160 --> 0:22:34.359
<v Speaker 11>with large banks such as Banking New York and Melon,

0:22:34.720 --> 0:22:38.400
<v Speaker 11>or ensure as companies like Alians Group in Germany, these

0:22:38.400 --> 0:22:40.560
<v Speaker 11>are major clients of context, so that we work very

0:22:40.560 --> 0:22:42.640
<v Speaker 11>closely with base here in the UK.

0:22:42.920 --> 0:22:45.320
<v Speaker 5>I mean, ed we sit here as three Brits. But

0:22:45.480 --> 0:22:48.440
<v Speaker 5>it's notable that the UK has had a rich history

0:22:48.440 --> 0:22:51.359
<v Speaker 5>with AI. We know that DeepMind of course really built

0:22:51.400 --> 0:22:53.600
<v Speaker 5>there and it's something that the UK is trying to

0:22:53.600 --> 0:22:54.879
<v Speaker 5>show what particularly with the US.

0:22:54.800 --> 0:22:58.280
<v Speaker 4>Visit, there's a history of research in the UK. But

0:22:58.440 --> 0:23:02.240
<v Speaker 4>also President by on his visit to UK, I'm told

0:23:02.359 --> 0:23:05.359
<v Speaker 4>that the Prime Minister brought up this kind of cooperation

0:23:05.920 --> 0:23:08.879
<v Speaker 4>fishow between the US and UK. What's your assessment of

0:23:08.920 --> 0:23:12.080
<v Speaker 4>that cooperative work in the field of AI.

0:23:14.040 --> 0:23:15.560
<v Speaker 1>So, I think the field of AI.

0:23:16.200 --> 0:23:19.720
<v Speaker 11>It is an ecosystem coming together when it's to do

0:23:19.840 --> 0:23:23.520
<v Speaker 11>with academia, when it's to do with regulation or government,

0:23:23.800 --> 0:23:27.879
<v Speaker 11>but also the enterprise and obviously as tech providers like Quantexa,

0:23:28.080 --> 0:23:31.600
<v Speaker 11>working in a broader ecosystem is critical for the success

0:23:31.800 --> 0:23:35.000
<v Speaker 11>of AI. But one thing I would also add ed

0:23:35.040 --> 0:23:38.439
<v Speaker 11>and Karen to your point of the visit today of

0:23:38.520 --> 0:23:43.159
<v Speaker 11>the AI regulations and AI standards is really important to

0:23:43.200 --> 0:23:46.040
<v Speaker 11>put in play because one thing that's critical here is

0:23:46.080 --> 0:23:49.480
<v Speaker 11>AI is here to stay. I studied AI twenty plus

0:23:49.560 --> 0:23:52.320
<v Speaker 11>years ago. This is not necessarily a new technology. It's

0:23:52.359 --> 0:23:54.800
<v Speaker 11>a technology which is at the forefront today. It's in

0:23:54.840 --> 0:23:58.600
<v Speaker 11>primetime today. But ensuring that is treated carefully in a

0:23:58.680 --> 0:24:03.120
<v Speaker 11>trusted and transparent fashion is really critical. And if that's

0:24:03.160 --> 0:24:06.960
<v Speaker 11>any regulation or any standard or any collaboration between governments

0:24:07.000 --> 0:24:09.159
<v Speaker 11>as a key topic, I think is only important for

0:24:09.320 --> 0:24:10.520
<v Speaker 11>organizations to be doing that.

0:24:11.320 --> 0:24:13.640
<v Speaker 4>But I do go back to the point Caroline made

0:24:13.640 --> 0:24:17.040
<v Speaker 4>about your global footprint. When you listen to President Biden

0:24:17.480 --> 0:24:20.960
<v Speaker 4>and you listen to Prime Minister Sunak, who is more

0:24:21.040 --> 0:24:24.679
<v Speaker 4>convincing in the leadership of driving AI forward, where do

0:24:24.720 --> 0:24:27.280
<v Speaker 4>you want to put your money and find your talent

0:24:27.560 --> 0:24:29.280
<v Speaker 4>The UK or the United States.

0:24:31.280 --> 0:24:34.880
<v Speaker 11>Great, great question ed, And I think from a talent perspective,

0:24:35.080 --> 0:24:37.960
<v Speaker 11>we must always put our customers, our clients, at the

0:24:38.000 --> 0:24:41.199
<v Speaker 11>center to everything we do. When I started Context in

0:24:41.240 --> 0:24:44.560
<v Speaker 11>twenty sixteen, it was with that sole mission to ensure

0:24:44.600 --> 0:24:47.639
<v Speaker 11>that we put our clients, if those are large banks,

0:24:48.080 --> 0:24:53.000
<v Speaker 11>government organizations, insurers, or healthcare organizations, putting them at the

0:24:53.040 --> 0:24:56.840
<v Speaker 11>center to our innovation is critical. So working closely with

0:24:56.920 --> 0:25:01.040
<v Speaker 11>our clients, working closely with academia obviously a critical part

0:25:01.080 --> 0:25:02.800
<v Speaker 11>to any CEO strategy.

0:25:02.400 --> 0:25:03.680
<v Speaker 1>Who is running a tech company.

0:25:03.840 --> 0:25:06.320
<v Speaker 11>And we've obviously done incredibly well both here in the

0:25:06.440 --> 0:25:08.880
<v Speaker 11>UK as well as in the US and other countries

0:25:09.200 --> 0:25:11.600
<v Speaker 11>in recruiting some of the best talent. You know, we

0:25:11.640 --> 0:25:14.840
<v Speaker 11>work very closely with a number of universities to ensure

0:25:14.880 --> 0:25:16.919
<v Speaker 11>we're working with some of the hardest working with some

0:25:16.960 --> 0:25:19.399
<v Speaker 11>of the hardest problems with those universities, and looking at

0:25:19.440 --> 0:25:20.880
<v Speaker 11>the talent from that perspective too.

0:25:21.160 --> 0:25:23.840
<v Speaker 5>Vishaw, what's interesting, of course, when you're in the intersection

0:25:23.920 --> 0:25:27.240
<v Speaker 5>of finance and AI and tech, you're going to be

0:25:27.359 --> 0:25:30.480
<v Speaker 5>very used to trying to navigate regulation when it comes

0:25:30.520 --> 0:25:35.159
<v Speaker 5>to financial institutions. What about regulation of AI I mean

0:25:35.200 --> 0:25:37.600
<v Speaker 5>I'm looking at the EU or in Ireland or in

0:25:37.640 --> 0:25:41.560
<v Speaker 5>Amsterdam Brussels, and clearly they're trying to act quickly on

0:25:41.600 --> 0:25:42.280
<v Speaker 5>an AI act.

0:25:44.160 --> 0:25:44.360
<v Speaker 1>Yeah.

0:25:44.400 --> 0:25:47.320
<v Speaker 11>No, absolutely So coming back to my earlier point current, So,

0:25:47.720 --> 0:25:51.040
<v Speaker 11>everything we have done here at CONTEXTA from an AI

0:25:51.160 --> 0:25:56.719
<v Speaker 11>machine learning trans perspective, is fully transparent, fully scalable, and

0:25:56.760 --> 0:26:00.440
<v Speaker 11>most importantly within our platform, we've adopted a wide box

0:26:00.760 --> 0:26:04.000
<v Speaker 11>set of algorithms that are very clear to explain to

0:26:04.080 --> 0:26:08.040
<v Speaker 11>any regulator, to any model risk management department in a

0:26:08.119 --> 0:26:12.400
<v Speaker 11>bank on a how you stitch that data? But more importantly,

0:26:12.640 --> 0:26:15.120
<v Speaker 11>why did you come to an outcome to say this

0:26:15.160 --> 0:26:18.160
<v Speaker 11>person's of interest or this party is not of interest?

0:26:18.520 --> 0:26:20.439
<v Speaker 11>And that is at the common to most of the

0:26:20.480 --> 0:26:26.040
<v Speaker 11>regulations globally, the transparency, the explainability, and the ethical use

0:26:26.119 --> 0:26:30.119
<v Speaker 11>of such data.

0:26:28.560 --> 0:26:30.920
<v Speaker 4>When you're going to make a return on your big

0:26:30.960 --> 0:26:31.840
<v Speaker 4>investment in AI.

0:26:34.040 --> 0:26:36.119
<v Speaker 11>So, just like with many investments, is backed by a

0:26:36.119 --> 0:26:41.040
<v Speaker 11>business case and you know this investment is completely follows

0:26:41.080 --> 0:26:43.919
<v Speaker 11>that path. Now, we obviously just close our Series E

0:26:44.080 --> 0:26:47.240
<v Speaker 11>at the beginning of April, where we raised just over

0:26:47.240 --> 0:26:49.800
<v Speaker 11>one hundred and thirty million at evaluation a one point

0:26:49.800 --> 0:26:53.840
<v Speaker 11>eight billion led by GIC. Now as part of that investment,

0:26:54.040 --> 0:26:56.600
<v Speaker 11>there is an investment case on where we deploy our funds.

0:26:56.720 --> 0:26:59.080
<v Speaker 11>But we will take a long term strategic view on

0:26:59.119 --> 0:27:02.119
<v Speaker 11>this and so am I investors. As I mentioned, AI

0:27:02.200 --> 0:27:04.720
<v Speaker 11>is not just here today and gone tomorrow. AI is

0:27:04.800 --> 0:27:07.080
<v Speaker 11>here and has been here before, and it will stay

0:27:07.119 --> 0:27:11.760
<v Speaker 11>here continually. But it's very important that organizations like Quantexa

0:27:11.920 --> 0:27:14.520
<v Speaker 11>take a much more long term view when it comes

0:27:14.520 --> 0:27:17.399
<v Speaker 11>down to investments and what I'm delighted my clients, my

0:27:17.520 --> 0:27:20.199
<v Speaker 11>partners as well as my investors are all on that

0:27:20.320 --> 0:27:23.439
<v Speaker 11>journey with us to ensure we're making those making that

0:27:23.480 --> 0:27:24.439
<v Speaker 11>impact in the market.

0:27:24.720 --> 0:27:27.240
<v Speaker 5>Michelle Maria, great to have some time with you and

0:27:27.440 --> 0:27:30.760
<v Speaker 5>Texa there based over in London. Meanwhile, coming up, look,

0:27:30.760 --> 0:27:32.480
<v Speaker 5>we're going to be taking the pulse of the crypto

0:27:32.640 --> 0:27:33.440
<v Speaker 5>VC industry.

0:27:33.520 --> 0:27:36.080
<v Speaker 3>Remember when we only used to talk about crypto. Now

0:27:36.160 --> 0:27:37.639
<v Speaker 3>it's all talking about AI.

0:27:37.720 --> 0:27:40.080
<v Speaker 5>Where's the intersection in that pitchfook crypto and it's going

0:27:40.080 --> 0:27:42.639
<v Speaker 5>to be with us of course, I'm at they and

0:27:42.720 --> 0:27:43.320
<v Speaker 5>what are you watching?

0:27:43.400 --> 0:27:46.160
<v Speaker 4>Yeah, yeah, snowflake, I'm looking to shares the snowflake down

0:27:46.200 --> 0:27:48.959
<v Speaker 4>one point six six percent another name kind of at

0:27:48.960 --> 0:27:52.160
<v Speaker 4>the intersection of Cloud Enterprise and AI not a lot

0:27:52.160 --> 0:27:54.560
<v Speaker 4>in the news flow, but I would note that Frank

0:27:54.600 --> 0:27:58.680
<v Speaker 4>sloopmanco and chairman did put a regulatory filing in Friday

0:27:58.760 --> 0:28:02.879
<v Speaker 4>night to exis size options and some insider selling going

0:28:02.920 --> 0:28:06.040
<v Speaker 4>on in that name, So that could be one of

0:28:06.080 --> 0:28:09.000
<v Speaker 4>the factors impacting the stock to the downside. We keep looking.

0:28:09.280 --> 0:28:28.000
<v Speaker 4>This is Bloomberg Technology. Global VC funding into crypto in

0:28:28.080 --> 0:28:30.560
<v Speaker 4>the second quarter of twenty twenty three was the lowest

0:28:30.560 --> 0:28:34.639
<v Speaker 4>amount since twenty twenty. Meanwhile, AI is the green shoe.

0:28:34.760 --> 0:28:38.040
<v Speaker 4>Every single VC here on Bloomberg Technology is talking about

0:28:38.120 --> 0:28:41.800
<v Speaker 4>let's bringing bloomberg'snnah Mila. Who's been going off over the data?

0:28:42.040 --> 0:28:45.000
<v Speaker 4>This is data from pitchbook largely. What does it tell us?

0:28:45.200 --> 0:28:48.920
<v Speaker 12>Yeah, so we've seen a continued steep decline in crypto

0:28:49.040 --> 0:28:53.280
<v Speaker 12>venture funding, especially compared to last year. So it's the

0:28:53.320 --> 0:28:54.200
<v Speaker 12>worst quarter.

0:28:54.040 --> 0:28:55.040
<v Speaker 3>Since twenty twenty.

0:28:56.200 --> 0:28:58.720
<v Speaker 12>We thought maybe it had bottomed out, that you know,

0:28:58.840 --> 0:28:59.960
<v Speaker 12>funding would pop back up.

0:29:00.080 --> 0:29:01.280
<v Speaker 3>That has not happened.

0:29:02.240 --> 0:29:04.320
<v Speaker 12>So, you know, I think vcs are looking for a

0:29:04.360 --> 0:29:07.320
<v Speaker 12>way to reignite interests in the crypto industry, and founders

0:29:07.360 --> 0:29:09.960
<v Speaker 12>are scrambling to get you know funding when they.

0:29:09.840 --> 0:29:13.600
<v Speaker 5>Can okay, Hanna, So where's the legit intersection of AI

0:29:13.680 --> 0:29:14.200
<v Speaker 5>and crypto?

0:29:15.320 --> 0:29:17.440
<v Speaker 12>You know, it's hard to tell because it's so nascent.

0:29:17.520 --> 0:29:20.000
<v Speaker 12>You know, you have people arguing that crypto and blockchain

0:29:20.040 --> 0:29:23.760
<v Speaker 12>can bring more decentralization to AI, which is really dominated

0:29:23.760 --> 0:29:26.560
<v Speaker 12>by a few companies right now. But the companies that

0:29:26.640 --> 0:29:29.360
<v Speaker 12>are building in the intersection of crypto and AI and

0:29:29.440 --> 0:29:32.680
<v Speaker 12>AI are still very nason They're still working on stuff,

0:29:32.720 --> 0:29:35.760
<v Speaker 12>they haven't released anything yet, so it's kind of hard

0:29:35.760 --> 0:29:38.560
<v Speaker 12>to tell whether this will carry through and whether crypto

0:29:38.640 --> 0:29:40.320
<v Speaker 12>and AI can go hand in hand.

0:29:40.520 --> 0:29:42.680
<v Speaker 4>I want to show the data just for the United

0:29:42.720 --> 0:29:46.760
<v Speaker 4>States focused on AI because when we consider global investments

0:29:47.840 --> 0:29:49.800
<v Speaker 4>the US and what we're seeing on our screen now,

0:29:49.840 --> 0:29:53.000
<v Speaker 4>thirty one billion dollars a year today is most of

0:29:53.080 --> 0:29:53.960
<v Speaker 4>global spend.

0:29:55.680 --> 0:29:59.680
<v Speaker 12>Yeah, So with AI, you know people are interested in

0:29:59.680 --> 0:30:02.120
<v Speaker 12>invest thing in it that there are these deals that

0:30:02.200 --> 0:30:04.120
<v Speaker 12>are happening in the space. You know, there was a

0:30:04.120 --> 0:30:09.360
<v Speaker 12>slight declined quarter over quarter, but overall, you know, things

0:30:09.400 --> 0:30:10.680
<v Speaker 12>are happening here in the space.

0:30:10.960 --> 0:30:13.400
<v Speaker 5>How do you talk about how the startups themselves are

0:30:13.440 --> 0:30:16.480
<v Speaker 5>pivoting trying to sort of show that prowess in the

0:30:16.520 --> 0:30:19.480
<v Speaker 5>intersection of AI and crypto. But what about the dedicated

0:30:19.520 --> 0:30:23.760
<v Speaker 5>funds to crypto investing the vcs, how are they allocating

0:30:23.800 --> 0:30:25.000
<v Speaker 5>at the moment because a lot of them have a

0:30:25.320 --> 0:30:28.600
<v Speaker 5>lot of overhang from money lost in previous rounds or thought.

0:30:29.920 --> 0:30:32.240
<v Speaker 12>Yeah, so a lot of these crypto venture funds they

0:30:32.240 --> 0:30:34.960
<v Speaker 12>have mandates that require them to back the space, so

0:30:34.960 --> 0:30:37.920
<v Speaker 12>they're obviously still going to be deploying capital and they're

0:30:37.960 --> 0:30:41.000
<v Speaker 12>looking for ways, you know, to spend their money wisely,

0:30:41.120 --> 0:30:43.120
<v Speaker 12>and some of them are being drawn to this intersection

0:30:43.160 --> 0:30:46.360
<v Speaker 12>of crypto and AI and looking at companies like you know,

0:30:46.480 --> 0:30:49.760
<v Speaker 12>Tools for Humanity, which developed world coin, as well as Jensen,

0:30:49.800 --> 0:30:53.120
<v Speaker 12>which is developing a decentralized marketplace based on blockchain for

0:30:53.200 --> 0:30:55.200
<v Speaker 12>compute power world coin.

0:30:55.280 --> 0:30:57.160
<v Speaker 5>If in doubt back some outmen, it seems to be

0:30:57.240 --> 0:31:00.480
<v Speaker 5>the takeaway, and I thank you very much. Indeed really

0:31:00.520 --> 0:31:02.280
<v Speaker 5>great to have a perspective to build up to what

0:31:02.400 --> 0:31:06.200
<v Speaker 5>is now an integral conversation with Pitchbooks, cryptoanalyst from it Lay,

0:31:06.240 --> 0:31:07.920
<v Speaker 5>who I'm pleased to say is right here in New York.

0:31:08.000 --> 0:31:10.240
<v Speaker 3>And but we were hearing there about.

0:31:09.960 --> 0:31:12.960
<v Speaker 5>What a dial quarter it was for crypto VC and

0:31:13.000 --> 0:31:14.280
<v Speaker 5>for crypto allocations.

0:31:15.280 --> 0:31:17.480
<v Speaker 3>Does any of it look better going into Q three.

0:31:17.560 --> 0:31:20.240
<v Speaker 13>Do you think honestly, we think it will look better.

0:31:20.840 --> 0:31:23.840
<v Speaker 13>Like Hannah just mentioned, a lot of these crypto VC funds,

0:31:23.880 --> 0:31:26.680
<v Speaker 13>they have to deploy capitals into space. Part of the

0:31:26.760 --> 0:31:30.280
<v Speaker 13>slowdown is that the diligence cycles just slow down. So

0:31:30.320 --> 0:31:32.680
<v Speaker 13>you look at in twenty twenty one and twenty twenty two,

0:31:33.040 --> 0:31:35.200
<v Speaker 13>some of those deals were happening in a one week

0:31:35.280 --> 0:31:36.520
<v Speaker 13>or two week time frame.

0:31:36.720 --> 0:31:37.320
<v Speaker 9>And that i e.

0:31:37.520 --> 0:31:39.800
<v Speaker 4>Not much utilis exactly right.

0:31:39.600 --> 0:31:42.960
<v Speaker 13>And so now investors are taking the time meeting the teams,

0:31:43.040 --> 0:31:46.479
<v Speaker 13>meeting the founders, understanding the business model, understand their product,

0:31:46.480 --> 0:31:49.000
<v Speaker 13>product market fit, and then they're going to deploy capital.

0:31:49.160 --> 0:31:51.840
<v Speaker 13>What we're looking at and talking about those crypto venture

0:31:51.880 --> 0:31:55.440
<v Speaker 13>funds last year alone, there's twenty five billion dollars raised

0:31:55.440 --> 0:31:58.720
<v Speaker 13>for crypton EATA funds. That tabital has to be deployed

0:31:58.760 --> 0:32:01.800
<v Speaker 13>over the next two to four years year. So investors

0:32:01.800 --> 0:32:04.600
<v Speaker 13>have some time because they just raised those fresh funds

0:32:04.640 --> 0:32:07.840
<v Speaker 13>in twenty twenty two. But we think that as investors

0:32:07.880 --> 0:32:10.680
<v Speaker 13>start to get comfortable with the different business models, the

0:32:10.760 --> 0:32:13.200
<v Speaker 13>different opportunities in the crypto space, they're going to start

0:32:13.200 --> 0:32:16.680
<v Speaker 13>to deploying more and then our outlook at the beginning

0:32:16.720 --> 0:32:18.360
<v Speaker 13>of the years that we're going to see an uptick

0:32:18.440 --> 0:32:20.800
<v Speaker 13>in the second half of twenty twenty three, and it's

0:32:20.800 --> 0:32:22.720
<v Speaker 13>going to bottom up around sometime in the summer. And

0:32:22.800 --> 0:32:23.920
<v Speaker 13>we're seeing that right now.

0:32:25.040 --> 0:32:29.000
<v Speaker 4>It's so interesting to compare and contrast what's happening right

0:32:29.040 --> 0:32:32.000
<v Speaker 4>now in AI and what happened in crypto. Ashton Kutcher

0:32:32.080 --> 0:32:34.480
<v Speaker 4>was on Bloomberg Technology a few weeks ago saying he

0:32:34.640 --> 0:32:37.440
<v Speaker 4>raised his two hundred and thirty two million dollar fund

0:32:37.440 --> 0:32:41.360
<v Speaker 4>in just five weeks. And we're basically talking about crypto

0:32:41.520 --> 0:32:45.040
<v Speaker 4>so broadly, just like we talk about AI broadly. Are

0:32:45.040 --> 0:32:49.040
<v Speaker 4>there any bright spots, specific areas in the underlying technology

0:32:49.440 --> 0:32:52.480
<v Speaker 4>or marketplaces where there is still activity for crypto.

0:32:53.120 --> 0:32:55.760
<v Speaker 13>Yeah, there are a few areas that investors are still

0:32:55.840 --> 0:32:58.840
<v Speaker 13>really excited about and deploying capital in right now. And

0:32:59.120 --> 0:33:02.360
<v Speaker 13>it's really three categories. Infrastructure, so you look at the

0:33:02.440 --> 0:33:06.520
<v Speaker 13>underlying blockchains and the scaling solutions to make the blockchains

0:33:06.560 --> 0:33:09.800
<v Speaker 13>faster and having higher throughput, the service providers.

0:33:09.800 --> 0:33:11.360
<v Speaker 9>So you think about a lot of.

0:33:11.480 --> 0:33:15.720
<v Speaker 13>Institutional traditional financial institutions are still moving into.

0:33:15.520 --> 0:33:16.280
<v Speaker 9>The cryptal space.

0:33:16.280 --> 0:33:19.600
<v Speaker 13>And we just heard about black Rock and Fidelity refiling

0:33:19.720 --> 0:33:23.280
<v Speaker 13>for the Bitcoin spot ETF. So there's a lot of

0:33:23.360 --> 0:33:26.920
<v Speaker 13>institutional interests. So what are the technologies and software and

0:33:27.000 --> 0:33:30.640
<v Speaker 13>services you can provide to help institutions move into the space.

0:33:30.880 --> 0:33:34.800
<v Speaker 13>Custodiums is one type of technology, or prime brokerage or

0:33:34.840 --> 0:33:38.600
<v Speaker 13>trading services, anything that can help them better facilitate their

0:33:38.640 --> 0:33:41.920
<v Speaker 13>interests into the space and providing service to their customers.

0:33:42.120 --> 0:33:44.920
<v Speaker 13>And the last area is what we call when we

0:33:45.000 --> 0:33:47.600
<v Speaker 13>just wrote research on this space, it's called decentralized physical

0:33:47.600 --> 0:33:50.200
<v Speaker 13>infrastructure networks. I know, it's a really long term. We

0:33:50.280 --> 0:33:52.840
<v Speaker 13>call it deep in, and it's any kind of real

0:33:52.920 --> 0:33:58.120
<v Speaker 13>world infrastructure that can facilitate token to be able to

0:33:58.120 --> 0:34:02.600
<v Speaker 13>provide services. So you can think about decentralized servers, mobile networks,

0:34:02.640 --> 0:34:03.719
<v Speaker 13>or decentralized servers.

0:34:04.000 --> 0:34:05.600
<v Speaker 9>Hannah just mentioned Jensen.

0:34:05.680 --> 0:34:10.799
<v Speaker 13>They do a decentralized computing for training AI models. That's

0:34:10.840 --> 0:34:12.960
<v Speaker 13>just an example, and they can use tokens to have

0:34:13.320 --> 0:34:17.480
<v Speaker 13>anyone that has a computer can help facilitate and contribute

0:34:17.520 --> 0:34:19.200
<v Speaker 13>power and compute to that.

0:34:19.120 --> 0:34:22.440
<v Speaker 5>Network, kind of like an AI version of file coin exactly.

0:34:22.440 --> 0:34:23.600
<v Speaker 9>That's exactly what they're doing.

0:34:23.800 --> 0:34:27.120
<v Speaker 5>I'm interested in where these things are getting built because

0:34:27.640 --> 0:34:30.840
<v Speaker 5>crypto is decentralized. It's also global, and there was a

0:34:30.880 --> 0:34:33.719
<v Speaker 5>bit of sort of regulatory arbitrage going on at one point.

0:34:33.880 --> 0:34:35.839
<v Speaker 5>Is that still happening as some of the founders moving

0:34:35.880 --> 0:34:37.320
<v Speaker 5>off going out of the US.

0:34:37.680 --> 0:34:40.560
<v Speaker 13>Honestly, we that is the narrative. We just don't see

0:34:40.560 --> 0:34:44.400
<v Speaker 13>that happening. We think that the talent largely is still

0:34:44.440 --> 0:34:47.440
<v Speaker 13>here in the US. A lot of the founders are

0:34:47.480 --> 0:34:51.080
<v Speaker 13>still building here and they're recruiting talent here in the US.

0:34:51.680 --> 0:34:54.160
<v Speaker 13>You know, a lot of folks talk about the strict

0:34:54.200 --> 0:34:57.360
<v Speaker 13>regulations that is happening right now with you know, the sec, CFTC,

0:34:58.040 --> 0:35:02.719
<v Speaker 13>the FED all coming after crypto, that I think is

0:35:02.760 --> 0:35:05.080
<v Speaker 13>not going to push founders to move abroad.

0:35:05.120 --> 0:35:06.200
<v Speaker 9>And I give you a quick example.

0:35:06.760 --> 0:35:09.799
<v Speaker 13>We know in Europe typically their regulations are a lot

0:35:09.840 --> 0:35:12.239
<v Speaker 13>more progressive. You know, even with fintech. You let a

0:35:12.280 --> 0:35:14.640
<v Speaker 13>PSC two and open banking that happened a few years ago.

0:35:15.040 --> 0:35:17.040
<v Speaker 13>A lot of folks that that fintech innovation is going

0:35:17.080 --> 0:35:17.880
<v Speaker 13>to move to Europe.

0:35:18.040 --> 0:35:19.040
<v Speaker 9>We never saw that happen.

0:35:19.120 --> 0:35:21.040
<v Speaker 13>Still a lot of the fintech innovations happening here in

0:35:21.040 --> 0:35:22.680
<v Speaker 13>the US, so we expect the same for crypto.

0:35:23.000 --> 0:35:25.120
<v Speaker 5>Now we have an end so all our talk of

0:35:25.640 --> 0:35:27.120
<v Speaker 5>the founders leaving not happening.

0:35:26.880 --> 0:35:29.520
<v Speaker 4>But things can move so quickly, right, Yeah, I guess

0:35:29.560 --> 0:35:32.000
<v Speaker 4>the question I have, Robert, is when's the rebound for

0:35:32.040 --> 0:35:34.440
<v Speaker 4>crypto come? What moves the needle?

0:35:35.680 --> 0:35:40.840
<v Speaker 13>Yeah, it's going to be mostly the funding, Okay, because

0:35:40.840 --> 0:35:43.520
<v Speaker 13>scarps are now they need funding to grow and scale.

0:35:43.680 --> 0:35:46.680
<v Speaker 9>So what point will investors get comfortable?

0:35:47.000 --> 0:35:49.759
<v Speaker 13>And our call still holds is that it's going to

0:35:49.800 --> 0:35:52.280
<v Speaker 13>be sometime towards the end of this year. So as

0:35:53.040 --> 0:35:56.040
<v Speaker 13>what investors are looking at, what projects are building the

0:35:56.200 --> 0:36:00.279
<v Speaker 13>strongest products out there, and what are their under line

0:36:00.320 --> 0:36:02.839
<v Speaker 13>business models and how are they getting product market fit?

0:36:03.280 --> 0:36:05.279
<v Speaker 13>And then the ones that are going to get that

0:36:05.719 --> 0:36:07.360
<v Speaker 13>are going to get the funding. And we're going to

0:36:07.360 --> 0:36:09.080
<v Speaker 13>expect to see that towards the end of this year.

0:36:09.160 --> 0:36:12.000
<v Speaker 13>So you know, the rebound's hard to say, but we're

0:36:12.000 --> 0:36:14.440
<v Speaker 13>hoping sometime next year, early twenty twenty five, we're going

0:36:14.480 --> 0:36:17.800
<v Speaker 13>to start seeing a lot more capital and more founders

0:36:17.840 --> 0:36:18.839
<v Speaker 13>coming into space to build.

0:36:20.040 --> 0:36:23.040
<v Speaker 4>Pagebild crypto analyst Robert lay with the banqward looking data

0:36:23.080 --> 0:36:25.879
<v Speaker 4>but also the forward looking forcust Thank you very much.

0:36:33.719 --> 0:36:35.000
<v Speaker 3>Time now we're going viral.

0:36:35.239 --> 0:36:38.600
<v Speaker 5>It still is one hundred million people are saying it's Threads,

0:36:38.640 --> 0:36:39.360
<v Speaker 5>It's going viral.

0:36:39.520 --> 0:36:40.440
<v Speaker 3>There has been.

0:36:40.320 --> 0:36:42.759
<v Speaker 5>Much hype over metas newly launched social media app.

0:36:42.800 --> 0:36:44.000
<v Speaker 3>That has of course Twitter.

0:36:44.440 --> 0:36:47.800
<v Speaker 5>I'm pretty high alert analysts over at ever CORESI estimate

0:36:47.960 --> 0:36:51.320
<v Speaker 5>that Threads could actually need two hundred million daily active

0:36:51.400 --> 0:36:54.440
<v Speaker 5>users and generate about eight billion dollars in revenue by

0:36:54.440 --> 0:36:58.560
<v Speaker 5>twenty twenty five. Now, no eight billion per year for

0:36:58.640 --> 0:36:59.680
<v Speaker 5>the next couple of years.

0:36:59.840 --> 0:36:59.880
<v Speaker 4>Ed.

0:37:00.360 --> 0:37:01.799
<v Speaker 3>That is about a drop in the ocean of.

0:37:01.719 --> 0:37:04.080
<v Speaker 5>The one hundred and fifty billion in revenue that Meta

0:37:04.080 --> 0:37:05.520
<v Speaker 5>as a parent company brings in.

0:37:05.600 --> 0:37:07.400
<v Speaker 3>But okay, it's more than Twitter was making.

0:37:08.840 --> 0:37:11.640
<v Speaker 4>But how do we reconcile that it will ever make money?

0:37:11.680 --> 0:37:14.120
<v Speaker 4>Because if you think about it, just in allow producers,

0:37:14.120 --> 0:37:17.040
<v Speaker 4>just as stus, when does it become Twitter? The early

0:37:17.080 --> 0:37:19.200
<v Speaker 4>engagements I've had on Threads is everyone saying, we like

0:37:19.280 --> 0:37:22.240
<v Speaker 4>that there's no ads, we like that it's just text,

0:37:22.760 --> 0:37:23.799
<v Speaker 4>simple platform.

0:37:23.920 --> 0:37:26.360
<v Speaker 5>I'm sure, but we all said that about all of

0:37:26.400 --> 0:37:28.879
<v Speaker 5>the previous and then we slowly but surely realize that

0:37:28.880 --> 0:37:31.160
<v Speaker 5>that is the quid pro quo. You use it, you

0:37:31.680 --> 0:37:33.480
<v Speaker 5>of course have to pay for it in some way.

0:37:33.520 --> 0:37:34.399
<v Speaker 3>It can't just be free.

0:37:34.400 --> 0:37:36.759
<v Speaker 5>But I think what's more for a stumbling rot for

0:37:36.800 --> 0:37:39.640
<v Speaker 5>me is the decentralized element of it. We know that

0:37:39.719 --> 0:37:42.759
<v Speaker 5>it's not part of the feederverse quite here yet, but

0:37:42.800 --> 0:37:44.600
<v Speaker 5>eventually it will be. And what does that mean for

0:37:44.640 --> 0:37:49.120
<v Speaker 5>putting advertising within well, the use on its own servers

0:37:49.160 --> 0:37:50.480
<v Speaker 5>and the like, and what does it mean when it

0:37:50.480 --> 0:37:51.560
<v Speaker 5>becomes more distributed?

0:37:52.200 --> 0:37:54.480
<v Speaker 4>And Elon Musk has kind of leaned into that in

0:37:54.520 --> 0:37:56.759
<v Speaker 4>his jabs on Twitter over the weekend, some of which

0:37:56.760 --> 0:37:59.400
<v Speaker 4>he directed at Mark Zuckerberg. The complaint that I that

0:37:59.480 --> 0:38:03.879
<v Speaker 4>I hear people thread me about is also discoverability. How

0:38:03.920 --> 0:38:06.040
<v Speaker 4>do you find communities and groups that you want to

0:38:06.080 --> 0:38:09.200
<v Speaker 4>share a conversation with? But it's a simple platform, and

0:38:09.280 --> 0:38:11.600
<v Speaker 4>I love that We're already talking about how much money

0:38:11.640 --> 0:38:13.879
<v Speaker 4>is this going to make? Well, according to Evercore eight

0:38:13.920 --> 0:38:15.160
<v Speaker 4>billion by twenty twenty five.

0:38:15.280 --> 0:38:17.480
<v Speaker 5>Nice, I mean that is what financial journalists do. It

0:38:17.520 --> 0:38:19.600
<v Speaker 5>all comes back to the money, isn't it. But to

0:38:19.640 --> 0:38:22.520
<v Speaker 5>that point, it's also still a baby, and they kind

0:38:22.520 --> 0:38:26.120
<v Speaker 5>of probably slightly rushed it coming to the fall because

0:38:26.120 --> 0:38:29.240
<v Speaker 5>they were capitalizing on kind of difficult moment for Twitter.

0:38:29.600 --> 0:38:31.800
<v Speaker 3>They will start to have hashtags, I'm sure.

0:38:32.080 --> 0:38:34.319
<v Speaker 5>Who knows when they have a competitor to spaces and

0:38:34.360 --> 0:38:36.239
<v Speaker 5>we can do go cross platform and that one too.

0:38:36.960 --> 0:38:39.360
<v Speaker 4>It's just a baby. I won't do the voice, but

0:38:39.440 --> 0:38:41.759
<v Speaker 4>it's grown fast, one hundred million uses in a week.

0:38:41.960 --> 0:38:45.320
<v Speaker 5>What can you say helps when they're just easily porting

0:38:45.360 --> 0:38:47.200
<v Speaker 5>over from Instagram. I meanwhile, that does it for this

0:38:47.320 --> 0:38:49.799
<v Speaker 5>edition of Really Bag Technology. And look, John Felton, he's

0:38:49.800 --> 0:38:52.680
<v Speaker 5>going to be joining Amazon SVP Worldwide Operation, going to

0:38:52.680 --> 0:38:55.160
<v Speaker 5>be talking Amazon's shopping extravaganza.

0:38:55.280 --> 0:38:57.160
<v Speaker 3>It's prim Day. You don't want to miss that conversation.

0:38:57.960 --> 0:38:59.719
<v Speaker 4>Yeah, And if you missed any of today or you

0:38:59.719 --> 0:39:02.160
<v Speaker 4>want to recap, don't forget about the podcast. There's a

0:39:02.160 --> 0:39:05.279
<v Speaker 4>lot going on in every show, from AI to what's

0:39:05.320 --> 0:39:09.800
<v Speaker 4>happening in hardware and video games. So the podcast on Apple, Spotify, iHeart,

0:39:10.000 --> 0:39:13.040
<v Speaker 4>and of course on our Bloomberg platforms. We have a

0:39:13.239 --> 0:39:15.719
<v Speaker 4>massive week in the world of technology coming up from

0:39:15.719 --> 0:39:18.440
<v Speaker 4>here in San Francisco and out in New York with Caroline.

0:39:18.560 --> 0:39:20.440
<v Speaker 4>This is Bloomberg Technology