WEBVTT - Nvidia Buys $2 Billion of Chip Software Maker Synopsys Stock

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

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

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<v Speaker 1>and Eva low In sent frances Go.

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<v Speaker 2>This is Bloomberg Tech coming up in video strikes a

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<v Speaker 2>deal to invest two billion dollars in chip design software

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<v Speaker 2>makers Synopsis, one of its own suppliers.

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<v Speaker 3>Plus crypto concerns continue amid a wide ranging sell off

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<v Speaker 3>that has Strategy and stable coin Tether in the crosshairs.

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<v Speaker 2>An open Ai is taking an ownership stake in five holdings,

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<v Speaker 2>adding to a growing list of circular deals involving the

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<v Speaker 2>chat GBT maker and its backers.

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<v Speaker 3>Oh, we're gonna be talking circular deals today, that m

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<v Speaker 3>video deal with open Ai. But now we look at

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<v Speaker 3>the border market, said, and we're under pressure once again.

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<v Speaker 3>We're only off by three percent on the overall Nasdaq

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<v Speaker 3>one hundred, but remember it had a brutal month of November,

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<v Speaker 3>the worst.

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<v Speaker 4>Set off that we've seen since March.

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<v Speaker 3>And more broadly, we are starting to reassess these ongoing

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<v Speaker 3>narratives of AI, momentum trades, crypto and the like. We're

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<v Speaker 3>seeing Bitcoin off by another seven percent. We trade at

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<v Speaker 3>eighty four six hundred and seventy eight. We're going to

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<v Speaker 3>deep dive into that. But if you're going to deep

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<v Speaker 3>dive on some single.

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<v Speaker 2>Names right now, yeah, are we going to be talking

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<v Speaker 2>about circular financing? Maybe in Video shares higher, Synoptis shares

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<v Speaker 2>higher but off their session highs. In video investing two

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<v Speaker 2>billion dollars buying into Synopsis at four hundred and fourteen

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<v Speaker 2>dollars seventy nine cents a share, you can see we're

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<v Speaker 2>now pretty far beyond that. What will happen is Synopsis

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<v Speaker 2>will take in videos GPUs and its software library Kuda

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<v Speaker 2>X and basically integrated into the number one tool for

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<v Speaker 2>designing and validating chips. But on a webcast just now,

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<v Speaker 2>Jensen one and Video CEO saying there is no requirement

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<v Speaker 2>that Synopsis buy GPUs as part of the deal, and

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<v Speaker 2>actually any chip maker that already does business with Synopsis

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<v Speaker 2>can do so freely. There's no exclusivity here. Still, that

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<v Speaker 2>was the reaction.

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<v Speaker 3>Circular financing it is, And let's dig into the rationale

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<v Speaker 3>a little bit more deeply. Now, Man Singh is here

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<v Speaker 3>with us covers semiconductors of call some Bloomberg intelligence, Mandy,

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<v Speaker 3>what is in it? To solidify a partnership there was

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<v Speaker 3>already very strong.

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<v Speaker 4>Why take an equity state, do you think?

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<v Speaker 5>Well, at this point, I think in Vidia is strengthening

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<v Speaker 5>its relationships with all its suppliers, whether it's TSMC and

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<v Speaker 5>the purchase commitments it has with TSMC or for that matter,

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<v Speaker 5>with Synopsis which provides the EDA software. And look, the

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<v Speaker 5>ACIC threat, which wasn't really that big of a thread before,

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<v Speaker 5>has really kind of come to the forefront now with

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<v Speaker 5>Google TPUs and you know, Broadcom has talked about how

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<v Speaker 5>it has got three or more customers that are taping

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<v Speaker 5>out their new chips. So from that perspective, you know,

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<v Speaker 5>the suppliers of Nvidia come to the focus. And on

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<v Speaker 5>the DA side, it's really an oligopoly with you know, Canaan,

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<v Speaker 5>SYNOPSI and Semens. So from that perspective, it's not surprising

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<v Speaker 5>to see, you know, Nvidia really investing in one of

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<v Speaker 5>their suppliers.

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<v Speaker 2>I'd like to dig into that last part a little

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<v Speaker 2>bit more. Men deep I mean listening to Jensen Wong

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<v Speaker 2>and the Synopsis CEA on the call, Basically they're explaining

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<v Speaker 2>that engineering tools still largely run on CPU based systems, right,

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<v Speaker 2>and EDA Electronic design automation is kind of the next

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<v Speaker 2>frontier right for improvement with AI. Is that something you

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<v Speaker 2>see as being real here?

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<v Speaker 5>I mean, look, I mean you can talk about how

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<v Speaker 5>you know, developers may benefit from, you know, a coding

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<v Speaker 5>agent type of functionality when it comes to EDA software tools.

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<v Speaker 5>But to my mind, you know, you don't need a

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<v Speaker 5>big training cluster for EDIA software. That's not the I

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<v Speaker 5>think the sense of what they're doing here. It's more

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<v Speaker 5>to do with just strengthening the relationship with their suppliers.

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<v Speaker 5>And some of these could a players, I mean, who knows,

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<v Speaker 5>And that's where I think having STIGs just give them

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<v Speaker 5>some skin in the game.

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<v Speaker 2>And to be clear, Jensen one saying in a webcast

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<v Speaker 2>that's ongoing, there is no requirement that Synopsis uses the

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<v Speaker 2>funds from the investment to buying video GPUs Man deep

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<v Speaker 2>seeing the Bloomberg Intelligence.

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<v Speaker 6>Appreciate you kicking the show off with that.

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<v Speaker 2>Let's get more on what's happening with financial markets right

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<v Speaker 2>now for Ernis and coders. Senior analysts from City Index

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<v Speaker 2>joined us. It is the first day of December, and

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<v Speaker 2>actually a couple of hours ago we started things looking

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<v Speaker 2>pretty bleak and video is turned a corner which has

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<v Speaker 2>kind of changed a little bit the tone, but basically

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<v Speaker 2>tech lower, crypto lower, and we started December and risk

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<v Speaker 2>off mode.

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<v Speaker 7>Why yeah, I mean, we had a really solid rally

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<v Speaker 7>last week, you know, on those expectations that the Federal

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<v Speaker 7>Reserve will be cutting interest rates in December. But as

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<v Speaker 7>we start off this new week, there's been a turnaround

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<v Speaker 7>in that sentiment. I think the catalyst for that for

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<v Speaker 7>me came from Japan. We heard Bank of Japan Governor

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<v Speaker 7>Huaida adopting a more hawkish tone, really ramping up sort

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<v Speaker 7>of expectations for a December rate hike. Now what does

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<v Speaker 7>this mean and why is it important? Basically, there are

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<v Speaker 7>concerns now that we might see the unwinding of the

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<v Speaker 7>carry trade. So that's when we sort of have institutions

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<v Speaker 7>investors borrowing in the low interest yen in order to

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<v Speaker 7>invest in higher yielding, riskier assets. Now, if we're seeing

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<v Speaker 7>the Bank of Japan raise interest rates, we've got yields

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<v Speaker 7>in Japan tenure yields at seventeen year high. There is

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<v Speaker 7>this concern that we're going to start see the repatriation

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<v Speaker 7>of those funds back to Japan. Now, this is important

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<v Speaker 7>because liquidity changes and those sort of sectors of the

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<v Speaker 7>market such as crypto, such as tech, which are really

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<v Speaker 7>sensitive to liquidity, or where we're seeing that sort of

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<v Speaker 7>risk off.

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<v Speaker 2>Come through December historically strong, particularly for technology, right and

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<v Speaker 2>when I was on vacation last week, what a week

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<v Speaker 2>to pick and we had the Thanksgiving holiday. Circular financing

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<v Speaker 2>was a factor in video in particular weighing and the

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<v Speaker 2>index level. You just heard the reporting about how the

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<v Speaker 2>Synopsis in Video deal is not circular financing. To the

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<v Speaker 2>mind of the leaders of those companies, do you buy it?

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<v Speaker 2>And how big a factor is that in this market

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<v Speaker 2>right now?

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<v Speaker 7>Really good question. I mean this is front and central

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<v Speaker 7>I think in a lot of investors' minds at the moment,

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<v Speaker 7>particularly as soon as we hear the name and Video

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<v Speaker 7>and Vida's been investing in firms that you know are

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<v Speaker 7>or will be major customers of its products. So you

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<v Speaker 7>know that has raised concerns within sort of the markets,

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<v Speaker 7>and we've seen that play out in previous weeks where

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<v Speaker 7>and Video really has come under a lot of pressure.

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<v Speaker 7>It does feel like that that is sort of starting

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<v Speaker 7>to turn a little bit of a corner. Obviously, those

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<v Speaker 7>comments today, I think will help a little bit to

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<v Speaker 7>ease those concerns. But at the end of the day,

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<v Speaker 7>there is this sort of worries surrounding circular financing, and

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<v Speaker 7>they're not going to disappear overnight. And that's because circular

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<v Speaker 7>financing makes an ecosystem fragile. You know, it just takes

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<v Speaker 7>one disappointment for the whole loop to fall apart. So

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<v Speaker 7>I think it is right that the market does question

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<v Speaker 7>question whether this circular financing could be a problem.

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<v Speaker 3>Meanwhile, Fion, you could think that these are companies that

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<v Speaker 3>are strategically thinking of how they can ride extra upside

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<v Speaker 3>should the ai wins really come to bear. We're going

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<v Speaker 3>to be digging into how open aiye is backing a

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<v Speaker 3>fund of its own VC partner that is looking at

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<v Speaker 3>integrating its technology into portfolio companies, into service companies. For example,

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<v Speaker 3>it wins not only by adoption of its technology, but

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<v Speaker 3>on seeing some equity upside, Fion, It's what do you

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<v Speaker 3>need to see to vindicate that the productivity gains are there?

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<v Speaker 7>Yeah, this is why it's so difficult because I think

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<v Speaker 7>sometimes or often, if you're in that bubble and it's

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<v Speaker 7>falling apart, you won't often realize when it's actually too late.

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<v Speaker 7>So you know, I think the numbers that we been

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<v Speaker 7>seeing from Nvidia have been encouraging. You know, the latest

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<v Speaker 7>the reports earnings report was extremely positive. There weren't really

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<v Speaker 7>any faults there. I think this is just a nervousness

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<v Speaker 7>that we're seeing.

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<v Speaker 4>But I think at the end of.

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<v Speaker 7>The day, we know that AI technology is solid, we

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<v Speaker 7>know that it exists, it's going to increase productivity. There

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<v Speaker 7>are obviously concerns over monetization, circular funding, revenue, lagging investment,

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<v Speaker 7>but I think, you know, longer term, this technology does

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<v Speaker 7>have a broad use, and I think that's why over

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<v Speaker 7>the longer term this trade is still one that has upside.

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<v Speaker 7>You know, if we just think about the horizontally at automation,

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<v Speaker 7>R and D customer service, vertically different sectors, and an

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<v Speaker 7>infrastructure level as well. So this is a very broad,

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<v Speaker 7>broad technology which which sort of helps ease those concerns

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<v Speaker 7>over the bubble fears.

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<v Speaker 4>I guess what about crypto?

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<v Speaker 7>Yeah, crypto, I mean what every Monday I feel I

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<v Speaker 7>wake up and something else is happening in crypto. You know,

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<v Speaker 7>we saw that rejection at that ninety two there just

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<v Speaker 7>above that ninety two thousand level, which was a pretty

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<v Speaker 7>key level. And I think again this is that unwinding

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<v Speaker 7>or fears over the unwinding of the yen carry trade.

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<v Speaker 7>Crypto is very sensitive to liquidity, and that fear that

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<v Speaker 7>there might be a slight reduction in liquidity if that

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<v Speaker 7>winding of the carry trade happens is what I see

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<v Speaker 7>pulling on crypto. Institutional demand is still very weak. You know,

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<v Speaker 7>we saw November ETFs they saw outflows of three point

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<v Speaker 7>four eight billion, so huge outflows, I think, second largest,

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<v Speaker 7>second worst month that we've seen so far. So that

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<v Speaker 7>really does need to turn around before we can expect

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<v Speaker 7>to see any sort of recovery or solid recovery in

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<v Speaker 7>the bitcoin price or crypto prices.

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<v Speaker 3>Talking about the broad application of AI and perhaps the

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<v Speaker 3>less broad application in the here and now of crypto,

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<v Speaker 3>Fiona Sinkotta, it's great to have some time with the

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<v Speaker 3>senior analyst over at City Index. Meanwhile, let's talk about

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<v Speaker 3>data centers for a moment, but when it comes to

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<v Speaker 3>financial prices, because data centers do support the CME, for example,

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<v Speaker 3>one of the world's largest derivatives exchanges. But we know

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<v Speaker 3>that now the data center behind the CME has bolstered

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<v Speaker 3>its own backup cooling capacity after overheating last Friday. CME's

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<v Speaker 3>markets were out for more than ten hours after a

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<v Speaker 3>failure and cooling system at the facility run by privately

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<v Speaker 3>owned cyrus Wan.

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<v Speaker 2>Okay, coming up, we're going to dig more into crypto

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<v Speaker 2>markets and what's behind this week's long seller.

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<v Speaker 6>That's next, This is Bloomberg Tech.

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<v Speaker 2>Cryptocurrency is fell again today, Bitcoin dipping below eighty four

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<v Speaker 2>thousand US dollars per token at one point, Ether dropping

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<v Speaker 2>more than seven percent to below twenty eight hundred dollars,

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<v Speaker 2>joining us now in the crypto markets weeks long sell off.

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<v Speaker 2>Bloomberg's senior Digital finance editor, Anna Irrera, we're writing on

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<v Speaker 2>the Bloomberg terminal about how we've started December in risk

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<v Speaker 2>off mode, but actually trade is in the crypto space

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<v Speaker 2>embracing for even bigger moves lower.

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<v Speaker 6>What are the factors behind that?

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<v Speaker 8>So, as you know, cryptos not immune to big price swings,

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<v Speaker 8>and you know we've had these before, we're not a

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<v Speaker 8>stranger to it. But what's different this time? It seems

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<v Speaker 8>that there's you know, there's not been any big crypto

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<v Speaker 8>event like you know, fraud or something that's very dramatic

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<v Speaker 8>that's typical to crypto. It seems like cryptos may be

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<v Speaker 8>starting to mature in a way, and it's starting to

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<v Speaker 8>follow more the macro environment and starting to behave a

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<v Speaker 8>bit more like risk assets. So one of the factors

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<v Speaker 8>that today was sort of the Bank of Japan, which

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<v Speaker 8>you were talking about before, and how that trade is

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<v Speaker 8>unwinding and people are concerned that there will be less

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<v Speaker 8>liquidity and of course than less money to spend on

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<v Speaker 8>risk your assets like crypto.

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<v Speaker 3>There are some idiosyncratic issues at play here though, Anna,

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<v Speaker 3>one of them being perhaps standing a pause, putting out

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<v Speaker 3>a bit of a risk warning on tether, the stable

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<v Speaker 3>coin most widely used one, worrying about its collateralization.

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<v Speaker 4>But then we looked at what's happening in strategy.

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<v Speaker 3>Of course, a big purchaser a bitcoin that shook the

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<v Speaker 3>market by potentially saying it could even sell off that

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<v Speaker 3>bitcoin if.

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<v Speaker 4>Really forced to do so.

0:12:11.160 --> 0:12:13.040
<v Speaker 3>But now they try and come in and temper those

0:12:13.080 --> 0:12:16.880
<v Speaker 3>fears when news of well, really a reserve fund. Why

0:12:16.960 --> 0:12:19.200
<v Speaker 3>isn't it working, Why isn't pushing strategy back higher again?

0:12:21.040 --> 0:12:24.200
<v Speaker 8>I think, I think again, perhaps everything in crypto tends

0:12:24.240 --> 0:12:26.760
<v Speaker 8>to move together. Still. You know, we had it with

0:12:26.840 --> 0:12:29.640
<v Speaker 8>Coinbase for a while when it was the only listed company.

0:12:29.640 --> 0:12:32.800
<v Speaker 8>You tend to react to bigcoin even before the ETFs, right,

0:12:32.800 --> 0:12:35.520
<v Speaker 8>it was kind of a gauge on the broader crypto

0:12:35.559 --> 0:12:38.160
<v Speaker 8>market away investors could go in. So I think perhaps

0:12:38.440 --> 0:12:40.560
<v Speaker 8>the mood is just risk off in general, and so

0:12:40.720 --> 0:12:43.080
<v Speaker 8>no matter what strategy is saying, investors are still a

0:12:43.080 --> 0:12:45.520
<v Speaker 8>bit concerned, a bit cautious. And again, you know we

0:12:45.600 --> 0:12:48.000
<v Speaker 8>mentioned you mentioned before sort of the big withdrawals and

0:12:48.040 --> 0:12:51.480
<v Speaker 8>redemptions on the ETFs. Again, until that changes and there

0:12:51.559 --> 0:12:53.520
<v Speaker 8>is more investment in the ATFS, it's hard to see

0:12:53.600 --> 0:12:55.640
<v Speaker 8>how you know the mark the crypto market will pick

0:12:55.679 --> 0:12:58.720
<v Speaker 8>up again. But you know, crypto's also very strange to predict,

0:12:58.720 --> 0:12:59.240
<v Speaker 8>so you never know.

0:12:59.320 --> 0:13:01.080
<v Speaker 6>Tomorrow might be another day in very.

0:13:00.920 --> 0:13:04.960
<v Speaker 3>Different well, said Bloomberg's Ana Arera. We thank you very much.

0:13:05.240 --> 0:13:08.160
<v Speaker 3>Let's keep the discussion going. Jilak Jovin Futro is with

0:13:08.240 --> 0:13:10.760
<v Speaker 3>us managing partner at Future Perfect Ventures. It's an early

0:13:10.800 --> 0:13:14.200
<v Speaker 3>stage firm. We focus on blockchain technology, crypto assets and more.

0:13:14.559 --> 0:13:16.520
<v Speaker 4>For you, you're about the builders.

0:13:16.080 --> 0:13:19.080
<v Speaker 3>And the companies that are trying to use the underlying technology, Jilac.

0:13:19.160 --> 0:13:21.960
<v Speaker 3>But just paint the macro picture right now, what does

0:13:22.080 --> 0:13:25.680
<v Speaker 3>bring institutional retail money back into the ETFs or to

0:13:25.720 --> 0:13:26.880
<v Speaker 3>the crypto as they stand?

0:13:28.120 --> 0:13:30.440
<v Speaker 9>Sure, I mean your previous guests have mentioned the Bank

0:13:30.480 --> 0:13:35.720
<v Speaker 9>of Japan news which was significant for bitcoin as well

0:13:35.760 --> 0:13:40.560
<v Speaker 9>as the broader crypto markets. And we've seen crypto since

0:13:40.600 --> 0:13:43.839
<v Speaker 9>the ETFs have been issued, and we've seen more institutional

0:13:43.880 --> 0:13:48.440
<v Speaker 9>involvement move more in line with other risk assets. Before,

0:13:48.880 --> 0:13:52.400
<v Speaker 9>you know, we saw a decoupling of the price behavior,

0:13:52.440 --> 0:13:55.679
<v Speaker 9>but now you know, we're looking at the macro outlook

0:13:55.920 --> 0:13:59.960
<v Speaker 9>and it's challenging for risk assets right now. We are

0:14:00.080 --> 0:14:04.440
<v Speaker 9>also have the added challenge of the bitcoin treasuries that

0:14:04.480 --> 0:14:06.880
<v Speaker 9>have been built up, and if we start to see selling,

0:14:07.000 --> 0:14:10.160
<v Speaker 9>as you know Strategy mentioned they may do, that's going

0:14:10.200 --> 0:14:15.400
<v Speaker 9>to create more downward pressure. However, you know, we still

0:14:15.440 --> 0:14:20.720
<v Speaker 9>believe that there's great global demand for bitcoin specifically, and

0:14:20.840 --> 0:14:23.880
<v Speaker 9>we're going to continue to see ETFs and new products

0:14:23.920 --> 0:14:27.920
<v Speaker 9>develop on bitcoin. That's just going to happen in the

0:14:27.960 --> 0:14:29.080
<v Speaker 9>next year or so.

0:14:29.560 --> 0:14:34.760
<v Speaker 3>I mean, you're all about the ecosystem, blockshoined, blockchain, dot com, bicco.

0:14:35.080 --> 0:14:37.200
<v Speaker 4>Also thinking of course, how you've been in moon pay.

0:14:37.320 --> 0:14:41.320
<v Speaker 3>But when you see warries around stable coins or when

0:14:41.320 --> 0:14:46.120
<v Speaker 3>there's a broader macro downward pressure, does that impact those

0:14:46.160 --> 0:14:48.200
<v Speaker 3>that are trying to build or do they shake it off?

0:14:49.280 --> 0:14:51.480
<v Speaker 9>Well, it certainly impacts in the short term, but a

0:14:51.480 --> 0:14:54.360
<v Speaker 9>lot of these entrepreneurs have been building for years towards

0:14:54.840 --> 0:14:59.280
<v Speaker 9>a rewiring of the financial system that is faster, cheaper,

0:14:59.440 --> 0:15:04.200
<v Speaker 9>offers access to different types of financial assets, and we

0:15:04.280 --> 0:15:07.040
<v Speaker 9>have seen over the years that that trend is not

0:15:07.240 --> 0:15:10.200
<v Speaker 9>going away. There's going to be short term blips as

0:15:10.560 --> 0:15:14.320
<v Speaker 9>we're seeing now, but stable coins are going to be

0:15:14.360 --> 0:15:18.000
<v Speaker 9>an important part of the new financial order, and we're

0:15:18.040 --> 0:15:22.440
<v Speaker 9>seeing companies like Stripe and others start to adopt access

0:15:22.480 --> 0:15:23.840
<v Speaker 9>to stable coins.

0:15:24.600 --> 0:15:27.720
<v Speaker 2>That is the state of play that you've just summarized.

0:15:27.800 --> 0:15:31.160
<v Speaker 2>Everyone is bullish on the long term about the role

0:15:31.200 --> 0:15:34.320
<v Speaker 2>of these technologies in the global financial system, and in

0:15:34.360 --> 0:15:37.160
<v Speaker 2>the near term we're in risk off mode because of

0:15:37.280 --> 0:15:40.000
<v Speaker 2>worries about interest rates and the direction for interest rates,

0:15:40.000 --> 0:15:42.200
<v Speaker 2>and that in the moment is moving markets.

0:15:42.280 --> 0:15:43.480
<v Speaker 6>How long does that carry on for?

0:15:45.200 --> 0:15:47.360
<v Speaker 9>Well, you know, there's a great amount of uncertainty. I

0:15:47.360 --> 0:15:51.600
<v Speaker 9>think through the end of the year and we're you know,

0:15:51.760 --> 0:15:54.520
<v Speaker 9>i'd say, I'm looking towards the early next year.

0:15:54.440 --> 0:15:56.920
<v Speaker 6>To have that certainty back.

0:15:57.960 --> 0:16:00.840
<v Speaker 9>We have several companies in our portfolio lined up to

0:16:00.920 --> 0:16:05.280
<v Speaker 9>go public on NASDAC. We're probably going to see, you know,

0:16:05.360 --> 0:16:08.000
<v Speaker 9>some of the short term delay on that until market

0:16:08.000 --> 0:16:10.640
<v Speaker 9>conditions improve, but I do believe that they will improve

0:16:10.680 --> 0:16:11.520
<v Speaker 9>early next year.

0:16:12.360 --> 0:16:13.480
<v Speaker 6>This can't help myself.

0:16:13.520 --> 0:16:17.120
<v Speaker 2>What is your twenty twenty six year end bitcoin prediction?

0:16:19.120 --> 0:16:23.000
<v Speaker 9>Well, I don't believe we're going to see massive kind

0:16:23.000 --> 0:16:25.240
<v Speaker 9>of price movements. I've been invested in the sector, as

0:16:25.280 --> 0:16:29.080
<v Speaker 9>you know, since twenty thirteen, specifically in bitcoin, and we

0:16:29.520 --> 0:16:34.120
<v Speaker 9>see massive you know upswings, down swings. What we're seeing now.

0:16:34.480 --> 0:16:36.960
<v Speaker 9>I think there'll be some tight trading. I can see

0:16:36.960 --> 0:16:39.120
<v Speaker 9>it go you know, up to two hundred. I'm not

0:16:39.160 --> 0:16:40.840
<v Speaker 9>one of those that's going to predict that it's going

0:16:40.880 --> 0:16:41.600
<v Speaker 9>to go to a million.

0:16:42.440 --> 0:16:44.000
<v Speaker 2>The reason I asked that I was trying to marry

0:16:44.040 --> 0:16:47.320
<v Speaker 2>those two points, the long term bullishness on the underlying

0:16:47.360 --> 0:16:50.280
<v Speaker 2>technology in the short term price volatility. I do find

0:16:50.280 --> 0:16:52.960
<v Speaker 2>it interesting reading the Bloomberg Terminal that the data set

0:16:53.040 --> 0:16:56.760
<v Speaker 2>that is giving most concern is lack of inflows into

0:16:56.800 --> 0:17:01.200
<v Speaker 2>the ETFs, which you've discussed what would change the psychology

0:17:01.240 --> 0:17:04.480
<v Speaker 2>of people to push inflows in a positive direction.

0:17:05.720 --> 0:17:08.400
<v Speaker 9>Yeah. I think it goes back to certainty. We want

0:17:08.440 --> 0:17:10.760
<v Speaker 9>to see where the interest rates are headed on a

0:17:10.760 --> 0:17:14.560
<v Speaker 9>global basis. You know, the October sell off in the

0:17:14.600 --> 0:17:19.240
<v Speaker 9>crypto sector was due to the tariff uncertainty around China.

0:17:19.920 --> 0:17:23.800
<v Speaker 9>We also saw people taking profits when bitcoin went up

0:17:23.800 --> 0:17:26.320
<v Speaker 9>to one hundred and twenty six thousand, So in the

0:17:26.880 --> 0:17:30.080
<v Speaker 9>span of three months or less than three months, we've

0:17:30.119 --> 0:17:33.840
<v Speaker 9>seen over a thirty percent drop. That being said, I

0:17:33.880 --> 0:17:37.320
<v Speaker 9>don't see a downward spiral because there are going to

0:17:37.359 --> 0:17:39.760
<v Speaker 9>be people who want to get access to the asset.

0:17:39.800 --> 0:17:40.920
<v Speaker 4>I mean, we just came off of.

0:17:40.840 --> 0:17:45.160
<v Speaker 9>Thanksgiving in the US and dinner table conversation was all

0:17:45.200 --> 0:17:48.639
<v Speaker 9>around crypto. Of course AI also, but crypto was a

0:17:48.640 --> 0:17:50.639
<v Speaker 9>big part of it. So there's still a lot of

0:17:50.680 --> 0:17:53.720
<v Speaker 9>retail interest and you know, I think they get concerned

0:17:53.760 --> 0:17:56.720
<v Speaker 9>when you just see these big price drops. But we'll

0:17:56.760 --> 0:17:58.200
<v Speaker 9>start to see that reverse.

0:17:59.200 --> 0:18:01.600
<v Speaker 2>J lak Jobum plus sure from Future Perfect Ventures. Great

0:18:01.600 --> 0:18:03.760
<v Speaker 2>to have you back on the show. Thank you, Caroy.

0:18:04.080 --> 0:18:06.360
<v Speaker 3>Yeah, now it's time for talking tech and first up,

0:18:06.720 --> 0:18:10.560
<v Speaker 3>well we're looking at elon Musk expanding snail Brook, Texas,

0:18:10.840 --> 0:18:14.400
<v Speaker 3>the company town tied to the boring company. Correspondence between

0:18:14.440 --> 0:18:18.440
<v Speaker 3>muscles and executives and local officials show plans for new housing,

0:18:18.480 --> 0:18:19.880
<v Speaker 3>a science center, and a gym.

0:18:20.000 --> 0:18:21.720
<v Speaker 4>It comes as the must tunnel.

0:18:21.359 --> 0:18:24.600
<v Speaker 3>Building company negotiates with a county over tax breaks and

0:18:24.680 --> 0:18:28.720
<v Speaker 3>environmental concerns. Plus, Australia will become the first democracy to

0:18:28.800 --> 0:18:31.960
<v Speaker 3>ban its youth from popular services like TikTok and Instagram.

0:18:32.080 --> 0:18:34.400
<v Speaker 4>That a law requiring platforms to block.

0:18:34.240 --> 0:18:37.160
<v Speaker 3>Under sixteens takes effect to some of the tenth companies

0:18:37.200 --> 0:18:39.679
<v Speaker 3>don't comply, they could be facing fines as high as

0:18:39.720 --> 0:18:43.800
<v Speaker 3>three thirty two million dollars, and SoftBank founder Masayoshi Son

0:18:43.880 --> 0:18:46.240
<v Speaker 3>says the company would have held onto its Nvidia shares

0:18:46.240 --> 0:18:48.000
<v Speaker 3>if it had unlimited.

0:18:47.480 --> 0:18:49.679
<v Speaker 4>Cash for its next AI investments.

0:18:49.800 --> 0:18:52.760
<v Speaker 3>Soft Bank has doubled down on AI, backing the Stargate

0:18:52.880 --> 0:18:56.119
<v Speaker 3>Data Center project, buying chip designer Ampere, and it plans

0:18:56.160 --> 0:18:59.119
<v Speaker 3>to invest more in open Ai by the end of

0:18:59.160 --> 0:19:08.840
<v Speaker 3>the year ed open Ai Well, It's agreed to take

0:19:08.880 --> 0:19:12.720
<v Speaker 3>an ownership stake in Thrive Holdings, an investment vehicle of

0:19:12.800 --> 0:19:16.040
<v Speaker 3>its own VC backer Thrive Capital. It's all about accelerating

0:19:16.119 --> 0:19:19.080
<v Speaker 3>enterprise AI adoption, we're told Opening I says it plans

0:19:19.119 --> 0:19:22.440
<v Speaker 3>to boost speed, accuracy, cost efficiency among the companies within

0:19:22.600 --> 0:19:23.560
<v Speaker 3>Thrive Holdings.

0:19:23.840 --> 0:19:25.720
<v Speaker 4>Newberg Seth Hman joins us now and.

0:19:25.760 --> 0:19:29.360
<v Speaker 3>The latest that some will say again circular AI deals.

0:19:29.760 --> 0:19:32.399
<v Speaker 4>How is this going to be a win win for

0:19:32.480 --> 0:19:32.960
<v Speaker 4>open Ai.

0:19:33.359 --> 0:19:35.720
<v Speaker 10>Yeah, it does have the appearance of circularity. We'll figure

0:19:35.720 --> 0:19:38.600
<v Speaker 10>out more of the details soon. But OPENINGI is going

0:19:38.640 --> 0:19:41.440
<v Speaker 10>to help the businesses their Thrive Holdings invest in by

0:19:41.440 --> 0:19:44.359
<v Speaker 10>embegging its own teams within those businesses to help them

0:19:44.600 --> 0:19:47.720
<v Speaker 10>speed up and become more efficient in AI deployment. And

0:19:47.720 --> 0:19:49.960
<v Speaker 10>of course, Thrive Holdings is part of Thrive Capital, which

0:19:50.000 --> 0:19:52.800
<v Speaker 10>played a really pivotal role in backing Opening I over

0:19:52.800 --> 0:19:55.359
<v Speaker 10>the last couple of years in multiple rounds and making

0:19:55.400 --> 0:19:56.320
<v Speaker 10>it what it goes today.

0:19:56.480 --> 0:19:57.560
<v Speaker 6>So mutual.

0:19:58.840 --> 0:20:02.119
<v Speaker 2>So I think we're both hearing in sort of pushback

0:20:02.160 --> 0:20:05.080
<v Speaker 2>to whether this is or is not circular financing that

0:20:05.200 --> 0:20:08.400
<v Speaker 2>there is no exchange of money or funds between open

0:20:08.440 --> 0:20:14.680
<v Speaker 2>AI and the holdingspit, which makes it confusing. Basically, Therefore,

0:20:14.760 --> 0:20:17.399
<v Speaker 2>it kind of is like a venture capitalist who's an operator.

0:20:17.600 --> 0:20:19.760
<v Speaker 2>It sounds like open AI comes in and goes, we'll

0:20:19.800 --> 0:20:21.800
<v Speaker 2>help you of all these things for zero dollars.

0:20:22.680 --> 0:20:24.360
<v Speaker 10>Yeah, I think we're trying to figure out what the

0:20:24.440 --> 0:20:28.520
<v Speaker 10>precise deal terms are here. But regardless, this is opening

0:20:28.600 --> 0:20:33.160
<v Speaker 10>I that was primarily packed by Thrive Capital over multiple

0:20:33.160 --> 0:20:38.560
<v Speaker 10>investment rounds, now having a stake and investing interest in

0:20:38.640 --> 0:20:42.560
<v Speaker 10>seeing this other arm of Thrive, you know, Thrive and

0:20:42.600 --> 0:20:47.359
<v Speaker 10>its businesses do well. What dollars changed hands, we don't

0:20:47.400 --> 0:20:49.920
<v Speaker 10>know yet, but it fits into the larger mold here

0:20:49.960 --> 0:20:53.600
<v Speaker 10>of a lot of these non traditional arrangements between vcs,

0:20:53.800 --> 0:20:57.320
<v Speaker 10>chip makers, cloud providers, and the up and coming AI

0:20:57.440 --> 0:21:00.440
<v Speaker 10>developers who are all kind of bound tightly together. And

0:21:00.480 --> 0:21:02.159
<v Speaker 10>I think the industry would say, well, this ensures that

0:21:02.200 --> 0:21:04.280
<v Speaker 10>they all kind of rise up, they all help each other,

0:21:04.320 --> 0:21:06.840
<v Speaker 10>and they all do well. But I think those those

0:21:06.960 --> 0:21:10.640
<v Speaker 10>interwoven agreements are also a real cause for concern right now.

0:21:10.680 --> 0:21:13.440
<v Speaker 3>It's also about how VC itself is pushing boundaries and

0:21:13.600 --> 0:21:15.720
<v Speaker 3>new types of vehicles. Josh Kushner, who found a Thrive

0:21:15.760 --> 0:21:17.800
<v Speaker 3>Capital all the way back in twenty ten, is now

0:21:18.080 --> 0:21:21.359
<v Speaker 3>only recently in April, I think, founded this Thrive Holdings,

0:21:21.400 --> 0:21:24.440
<v Speaker 3>and it's about buying stakes or even growing accounting companies.

0:21:24.480 --> 0:21:25.920
<v Speaker 10>Now, yeah, I think you know, Thrive at one time

0:21:26.040 --> 0:21:28.600
<v Speaker 10>was more into smaller investments, and now they're kind of

0:21:28.640 --> 0:21:30.720
<v Speaker 10>doing the private equity thing. You are either launching or

0:21:30.720 --> 0:21:33.280
<v Speaker 10>acquiring bigger firms, and they see AI as a real

0:21:33.320 --> 0:21:36.200
<v Speaker 10>opportunity to expand their portfolio and the way that maybe

0:21:36.200 --> 0:21:38.720
<v Speaker 10>the traditional VC arm would not have done. And Open

0:21:38.760 --> 0:21:40.639
<v Speaker 10>AI seems very eager and willing to come along for

0:21:40.720 --> 0:21:41.200
<v Speaker 10>that ride.

0:21:41.320 --> 0:21:45.800
<v Speaker 2>So Bloomberg seth Figgerman out in New York City on

0:21:45.840 --> 0:21:55.919
<v Speaker 2>the Thrive Holdings Open Aideal. Thank you, Welcome back to

0:21:55.920 --> 0:21:58.919
<v Speaker 2>Bloomberg Tech. We have a deal of sorts this Monday,

0:21:58.920 --> 0:22:02.760
<v Speaker 2>and that's in video and sting two billion dollars into Synopsis,

0:22:02.760 --> 0:22:06.879
<v Speaker 2>a leading name in electronic design automation software or EDA,

0:22:07.000 --> 0:22:09.879
<v Speaker 2>basically the software tools that help you lay out a

0:22:10.000 --> 0:22:13.560
<v Speaker 2>chips design in video, buying in at four hundred and

0:22:13.600 --> 0:22:16.520
<v Speaker 2>forteen dollars seventy nine cents a share, Synopsis currently trading

0:22:16.560 --> 0:22:19.000
<v Speaker 2>at four hundred and thirty two dollars fifty three cents.

0:22:19.119 --> 0:22:22.760
<v Speaker 2>It's an engineering agreement in video tech integrated into the

0:22:22.800 --> 0:22:26.480
<v Speaker 2>Snopsis platform. But what it does not include is any

0:22:26.520 --> 0:22:30.040
<v Speaker 2>mandatory requirement for Synopsis to buy in video GPUs. Here

0:22:30.080 --> 0:22:32.080
<v Speaker 2>is in Vidia CEO Jensen One speaking in.

0:22:32.119 --> 0:22:38.000
<v Speaker 11>Arago, there's no purchasing relationship between the investment and anything else.

0:22:38.119 --> 0:22:41.480
<v Speaker 11>Synapsis is already a customer of videos, and in the future,

0:22:41.960 --> 0:22:44.400
<v Speaker 11>of course, as we move into the world of accelerated

0:22:44.400 --> 0:22:47.200
<v Speaker 11>computing and AI computing, is much larger customer of video.

0:22:47.280 --> 0:22:51.440
<v Speaker 11>I recognize that none of this is exclusive. Synopsis has

0:22:51.440 --> 0:22:53.399
<v Speaker 11>a lot of chip partnerships, are going to continue to

0:22:53.480 --> 0:22:56.040
<v Speaker 11>nurture and continue to advance, and Vidia has a lot

0:22:56.080 --> 0:22:59.199
<v Speaker 11>of partnerships with Cadence and Siemens and to sew that

0:22:59.240 --> 0:23:01.800
<v Speaker 11>we're going to continue to nurture invents.

0:23:01.920 --> 0:23:05.680
<v Speaker 3>From aideals to holiday shopping deals. Consumer spending is showing

0:23:05.760 --> 0:23:08.479
<v Speaker 3>some resilience, even if discounts this year haven't been as

0:23:08.480 --> 0:23:10.840
<v Speaker 3>steep as in the past. So what are we seeing

0:23:10.880 --> 0:23:13.760
<v Speaker 3>this Cyber Monday? And in e commerce sales more broadly,

0:23:14.040 --> 0:23:16.639
<v Speaker 3>remerg Expenser, Sopa joins us. Now the stats please for

0:23:16.680 --> 0:23:17.520
<v Speaker 3>this Cyber Monday.

0:23:20.119 --> 0:23:23.159
<v Speaker 12>Yes, still very early. You know, Cyber Monday is one

0:23:23.160 --> 0:23:26.400
<v Speaker 12>of those days where people really load up their carts

0:23:26.600 --> 0:23:30.840
<v Speaker 12>all weekend and then sometimes wait for the final minute,

0:23:31.119 --> 0:23:33.480
<v Speaker 12>you know, to push the buy button. So the activity

0:23:33.560 --> 0:23:35.560
<v Speaker 12>is really going to pick up this evening, you know,

0:23:36.720 --> 0:23:40.840
<v Speaker 12>before before midnight, and the deals the deals close. But

0:23:40.960 --> 0:23:43.440
<v Speaker 12>so far, we are seeing that patience is paying off

0:23:43.760 --> 0:23:47.439
<v Speaker 12>for people who waited for Cyber Monday discounts averaging I

0:23:47.440 --> 0:23:51.200
<v Speaker 12>think thirty one percent according to Salesforce on Cyber Monday,

0:23:51.880 --> 0:23:54.439
<v Speaker 12>and that compares to about twenty seven twenty eight percent

0:23:54.840 --> 0:23:57.760
<v Speaker 12>on Black Friday, So people who waited a little longer

0:23:57.760 --> 0:24:00.359
<v Speaker 12>are getting a little bit better deal spender.

0:24:00.400 --> 0:24:02.000
<v Speaker 2>I think it's there's a lot of value for the

0:24:02.000 --> 0:24:04.919
<v Speaker 2>bloom Bell Tech audience to hear from you which data

0:24:04.960 --> 0:24:08.480
<v Speaker 2>sets you're tracking, which platforms we play most attention to,

0:24:09.200 --> 0:24:11.080
<v Speaker 2>and throughout the last few days, if there's any kind

0:24:11.080 --> 0:24:14.480
<v Speaker 2>of bigger picture consumer behavior trends that you've spotted.

0:24:16.119 --> 0:24:20.919
<v Speaker 12>Yeah, that's a great question. And actually there's a lot

0:24:20.960 --> 0:24:23.359
<v Speaker 12>of talk about consumers being cautious. I think even data

0:24:23.359 --> 0:24:26.480
<v Speaker 12>providers are being a little more cautious because we are

0:24:26.520 --> 0:24:29.040
<v Speaker 12>getting the data a little more slowly. This is our

0:24:29.080 --> 0:24:33.639
<v Speaker 12>first year, our first holiday shopping season with you know,

0:24:34.119 --> 0:24:37.359
<v Speaker 12>since the tariffs were announced, we've and also we had

0:24:37.359 --> 0:24:39.480
<v Speaker 12>the big government shutdowns, so there's a lot of mixed

0:24:39.480 --> 0:24:42.359
<v Speaker 12>signals going in. There's still pretty rosy projections, things like

0:24:42.400 --> 0:24:47.240
<v Speaker 12>the NRF and Adobe predicting. You know, another record year

0:24:48.160 --> 0:24:51.760
<v Speaker 12>for the holiday. But you know that a lot of

0:24:51.800 --> 0:24:54.280
<v Speaker 12>those predictions were made a little bit earlier, and even

0:24:54.320 --> 0:24:58.560
<v Speaker 12>before the government shutdown was lagging. So I'm curious to

0:24:58.560 --> 0:25:00.840
<v Speaker 12>see how it plays out. There's a lot of mixed

0:25:00.840 --> 0:25:03.919
<v Speaker 12>signals going into this holiday shopping season, even more so

0:25:04.000 --> 0:25:05.439
<v Speaker 12>than a typical one.

0:25:05.560 --> 0:25:06.040
<v Speaker 6>Bloomberg.

0:25:06.080 --> 0:25:09.560
<v Speaker 2>Spencer Sopa, thank you very much. Okay, what's next. Let's

0:25:09.600 --> 0:25:12.879
<v Speaker 2>stay on the topic of holiday shopping because despite some

0:25:12.920 --> 0:25:16.920
<v Speaker 2>of that economic uncertainty, Spencer was talking about disappointment over

0:25:16.960 --> 0:25:20.120
<v Speaker 2>the size of discounts, US shoppers did open their wallets

0:25:20.160 --> 0:25:22.439
<v Speaker 2>on Black Friday. So what does that mean for the

0:25:22.480 --> 0:25:26.400
<v Speaker 2>month ahead. Harley Fingalstem, president of global commerce company Shopify,

0:25:27.000 --> 0:25:30.320
<v Speaker 2>is here with some good data, some good insights. I

0:25:30.320 --> 0:25:34.720
<v Speaker 2>mean where we ended it there with Spencer, Harley, the forecasters,

0:25:35.520 --> 0:25:39.040
<v Speaker 2>the predictors say that this will be another record shopping

0:25:39.080 --> 0:25:42.080
<v Speaker 2>season in aggregate the data available to you.

0:25:42.359 --> 0:25:44.320
<v Speaker 6>What are you seeing? What are the trends?

0:25:44.960 --> 0:25:47.240
<v Speaker 13>Yeah, you know, I heard what Spencer said there. I mean, look,

0:25:47.359 --> 0:25:50.720
<v Speaker 13>Friday was another record breaking Black Friday weekend. We saw

0:25:50.720 --> 0:25:53.959
<v Speaker 13>about six point two billion dollars in sales for Black Friday.

0:25:54.080 --> 0:25:57.360
<v Speaker 13>That's about twenty five percent from last year. We saw

0:25:57.480 --> 0:26:00.720
<v Speaker 13>peak sales of five point one million dollars per minute

0:26:00.720 --> 0:26:03.239
<v Speaker 13>on Friday that happened around noon on Friday. That's up

0:26:03.240 --> 0:26:06.120
<v Speaker 13>from four point six million last year as well. And

0:26:06.400 --> 0:26:09.159
<v Speaker 13>if you pull up actually anyone can see this BFCM

0:26:09.359 --> 0:26:12.440
<v Speaker 13>dot shop, you can actually see global commerce happening right

0:26:12.520 --> 0:26:15.520
<v Speaker 13>now in real time. We are currently seeing about two

0:26:15.600 --> 0:26:19.159
<v Speaker 13>point five million dollars per sales and sales per minute,

0:26:19.640 --> 0:26:23.280
<v Speaker 13>about twenty five thousand orders per minute, and we've seen

0:26:23.440 --> 0:26:27.080
<v Speaker 13>just shy of seventy million unique shoppers buy from Shopify stores.

0:26:27.119 --> 0:26:29.520
<v Speaker 13>So it's certainly shipping up to be another great day.

0:26:29.560 --> 0:26:31.439
<v Speaker 13>And happy to go into some of the merchants and

0:26:31.440 --> 0:26:32.600
<v Speaker 13>some of the trends that we're seeing.

0:26:32.880 --> 0:26:34.760
<v Speaker 6>Crush Oapiva, Hollie.

0:26:34.760 --> 0:26:36.480
<v Speaker 2>What I'd like to do is actually take a sort

0:26:36.520 --> 0:26:39.520
<v Speaker 2>of geographic breakdown. Yeah, because in the limited data that

0:26:39.720 --> 0:26:41.879
<v Speaker 2>we went through, his Spenser, I think we're recognizing different

0:26:41.960 --> 0:26:46.080
<v Speaker 2>speeds of great sarticula Us versus Europe.

0:26:46.119 --> 0:26:46.920
<v Speaker 6>Could we start there?

0:26:47.520 --> 0:26:47.720
<v Speaker 9>Yeah?

0:26:47.760 --> 0:26:49.359
<v Speaker 13>Sure, I mean, look, if you look at top selling

0:26:49.400 --> 0:26:52.119
<v Speaker 13>countries across the world where shopflay seals. We have millions

0:26:52.119 --> 0:26:54.520
<v Speaker 13>of stores in places like the US. We power twelve

0:26:54.600 --> 0:26:56.760
<v Speaker 13>percent of all e commerce, so we have a really

0:26:56.760 --> 0:27:00.320
<v Speaker 13>great view of things. US, UK, Australia, Germany and Canada

0:27:00.520 --> 0:27:01.280
<v Speaker 13>are the top five.

0:27:01.480 --> 0:27:02.280
<v Speaker 6>Look at top.

0:27:02.160 --> 0:27:05.400
<v Speaker 13>Three selling cities, you see La New York and London.

0:27:06.040 --> 0:27:09.160
<v Speaker 13>In US alone, La New York and San Francisco were

0:27:09.200 --> 0:27:11.480
<v Speaker 13>the top three. The other thing that we also saw

0:27:11.560 --> 0:27:15.600
<v Speaker 13>is cross border, but seventeen percent of orders were cross

0:27:15.600 --> 0:27:18.720
<v Speaker 13>border orders, so shipped to a different country as well.

0:27:19.000 --> 0:27:21.679
<v Speaker 13>And then in terms of top trending merchants that we saw,

0:27:21.840 --> 0:27:23.919
<v Speaker 13>we saw Hatch which is sort of this it's be

0:27:23.960 --> 0:27:26.280
<v Speaker 13>called the Restore three, which is this phone free alarm

0:27:26.359 --> 0:27:29.520
<v Speaker 13>for kind of morning routines. Crunch Labs has the sort

0:27:29.520 --> 0:27:33.159
<v Speaker 13>of kids build it yourself monthly toy subscription, brook linnen

0:27:33.840 --> 0:27:36.119
<v Speaker 13>on their super plush robe, and then Bass has their

0:27:36.119 --> 0:27:39.160
<v Speaker 13>weekend or travel bag as well. So we're seeing across

0:27:39.240 --> 0:27:41.600
<v Speaker 13>a bunch of different verticals do really well. But a

0:27:41.600 --> 0:27:43.840
<v Speaker 13>big thing actually that we're seeing now is last year

0:27:43.880 --> 0:27:46.639
<v Speaker 13>seemed to be a lot of talk about getting outside

0:27:46.680 --> 0:27:49.280
<v Speaker 13>gifts were about the products being sold. We're about you know,

0:27:49.320 --> 0:27:49.720
<v Speaker 13>things like.

0:27:49.680 --> 0:27:51.760
<v Speaker 6>Skiing or hiking, or camping.

0:27:52.119 --> 0:27:54.280
<v Speaker 13>This year seems to be that home is really you know,

0:27:54.320 --> 0:27:56.960
<v Speaker 13>the winner here where people are buying things for their home,

0:27:57.080 --> 0:28:00.760
<v Speaker 13>whether it's kitchens except for the kitchen, or puzzles or blankets.

0:28:01.200 --> 0:28:04.200
<v Speaker 13>But generally consumers are buying from brands they love, and

0:28:04.280 --> 0:28:06.000
<v Speaker 13>we're fortunate those brands are on Shopify.

0:28:06.520 --> 0:28:10.640
<v Speaker 3>What does that cross border stat that's seventeen percent signal

0:28:10.720 --> 0:28:11.000
<v Speaker 3>to you?

0:28:11.200 --> 0:28:11.920
<v Speaker 4>Is that growing?

0:28:12.119 --> 0:28:14.680
<v Speaker 3>I mean, how does that stand up to last year

0:28:14.720 --> 0:28:16.359
<v Speaker 3>when perhaps Taris went such a headwind.

0:28:17.280 --> 0:28:19.720
<v Speaker 13>Yeah, I mean it's what I think it means is

0:28:19.760 --> 0:28:22.560
<v Speaker 13>that consumers generally are somewhat geographically agnostic.

0:28:22.600 --> 0:28:24.080
<v Speaker 6>They want to buy from their favorite brands.

0:28:24.119 --> 0:28:25.760
<v Speaker 13>You know, we heard from Jim Shark they had their

0:28:25.760 --> 0:28:29.360
<v Speaker 13>biggest Black Friday sale ever online ag one Athletic Greens

0:28:29.480 --> 0:28:32.240
<v Speaker 13>was a fifty percent brunt workwhere got an order every

0:28:32.240 --> 0:28:35.320
<v Speaker 13>five seconds. So if you think about what where consumers

0:28:35.320 --> 0:28:37.720
<v Speaker 13>are purchasing, they're buying from brands they love, the Voris,

0:28:37.960 --> 0:28:41.480
<v Speaker 13>the figs, the alo Yogas, the on runnings of the world,

0:28:41.840 --> 0:28:43.960
<v Speaker 13>and I think they're agnostic to where those are coming from.

0:28:44.120 --> 0:28:45.840
<v Speaker 13>The Other thing that we're seeing, which is really interesting

0:28:45.920 --> 0:28:48.120
<v Speaker 13>is that this really wasn't just about discounts. This year,

0:28:48.240 --> 0:28:51.560
<v Speaker 13>people shop brands, not channels. We're almost worrying living in

0:28:51.600 --> 0:28:54.000
<v Speaker 13>sort of a post world channel where you know, the

0:28:54.160 --> 0:28:57.200
<v Speaker 13>consumers bounced from a TikTok video to an AI agent,

0:28:57.280 --> 0:28:59.520
<v Speaker 13>to a website to a store. Even in video games

0:28:59.560 --> 0:29:02.800
<v Speaker 13>like Roadblo were Shopify powers commerce. The brands that really

0:29:02.840 --> 0:29:06.600
<v Speaker 13>won the weekend made the experience feel the same everywhere

0:29:06.640 --> 0:29:09.400
<v Speaker 13>they were, and that continues today.

0:29:10.280 --> 0:29:13.320
<v Speaker 3>Let's talk holly about the inevitable AI question.

0:29:13.520 --> 0:29:14.480
<v Speaker 4>Because you are.

0:29:14.440 --> 0:29:18.360
<v Speaker 3>Like the global commerce company, you're helping people be digitally native.

0:29:18.400 --> 0:29:20.880
<v Speaker 3>How are they interacting therefore in this world of brands

0:29:21.360 --> 0:29:23.800
<v Speaker 3>with various AI agents, whether they their own or whether

0:29:23.840 --> 0:29:25.160
<v Speaker 3>they're external third party.

0:29:25.960 --> 0:29:27.959
<v Speaker 13>Yeah, I mean, look, it's still very very early, but

0:29:28.000 --> 0:29:30.840
<v Speaker 13>since January we've actually seen AI driven traffic on to

0:29:30.920 --> 0:29:34.000
<v Speaker 13>Shopify stores up about six x. But we've been preparing

0:29:34.400 --> 0:29:36.600
<v Speaker 13>for this for years. We've been laying the rails for

0:29:36.840 --> 0:29:39.720
<v Speaker 13>agentik where already we've already anounced deals with Perplexity and

0:29:39.760 --> 0:29:43.200
<v Speaker 13>more recently with chat GBT, where brands on Shopify can

0:29:43.240 --> 0:29:47.000
<v Speaker 13>sell directly in those conversations, no links, no redirects, just

0:29:47.000 --> 0:29:50.080
<v Speaker 13>sort of this very seamless experience directly in the chat,

0:29:50.120 --> 0:29:51.400
<v Speaker 13>and so I think we're going to see a lot

0:29:51.440 --> 0:29:55.120
<v Speaker 13>more of that. Now what permutation eventually wins, We're not

0:29:55.160 --> 0:29:57.080
<v Speaker 13>sure yet, but we'll be ready for it. But the

0:29:57.080 --> 0:29:59.240
<v Speaker 13>other side of it is really interesting, which is that brands,

0:29:59.400 --> 0:30:02.080
<v Speaker 13>the merchants and selves are using AI to support them

0:30:02.080 --> 0:30:04.760
<v Speaker 13>on the biggest shopping season weekend of the year. So

0:30:05.040 --> 0:30:07.560
<v Speaker 13>we have something called Sidekick, which is the AI assistant

0:30:07.600 --> 0:30:10.680
<v Speaker 13>built into Shopify, which knows everything about merchant stores, knows

0:30:10.680 --> 0:30:13.480
<v Speaker 13>everything about Shopify, and we've seen over one hundred million

0:30:13.520 --> 0:30:16.960
<v Speaker 13>conversations with Sidekick. So merchants are able to do things

0:30:17.000 --> 0:30:20.800
<v Speaker 13>like you know, design, copyright market create these incredible analytics

0:30:20.880 --> 0:30:23.080
<v Speaker 13>dashboards where they can decide where to spend in a

0:30:23.120 --> 0:30:26.240
<v Speaker 13>much more sophisticated way. And so it's giving smaller merchants

0:30:26.280 --> 0:30:28.560
<v Speaker 13>a real leg up against the bigger guys because this

0:30:28.640 --> 0:30:30.280
<v Speaker 13>AI empowers them.

0:30:30.920 --> 0:30:32.640
<v Speaker 2>I want to go back to tariffs, Holly, but with

0:30:32.720 --> 0:30:35.400
<v Speaker 2>a slightly different way of asking the question. Sure, you

0:30:35.440 --> 0:30:38.200
<v Speaker 2>can look at overall spend, but the question we're asking

0:30:38.200 --> 0:30:40.640
<v Speaker 2>ourselves in the bloom Bag news room is our consumer

0:30:40.720 --> 0:30:44.320
<v Speaker 2>is still spending and getting less in return. So what

0:30:44.400 --> 0:30:47.080
<v Speaker 2>are the data sets that you're tracking the evidence that

0:30:47.200 --> 0:30:51.000
<v Speaker 2>impact of tariffs either through a diminished spend or same

0:30:51.080 --> 0:30:53.560
<v Speaker 2>level of spend, but you just get less for it.

0:30:54.400 --> 0:30:57.240
<v Speaker 13>We actually measure you know, both consumer confidence but also

0:30:57.480 --> 0:31:00.640
<v Speaker 13>consumer's appetite to spend at checkout. So far, I mean

0:31:00.680 --> 0:31:02.960
<v Speaker 13>as we speak right now, ed two point five million

0:31:03.000 --> 0:31:05.239
<v Speaker 13>dollars are going through check with every single minute. So

0:31:05.320 --> 0:31:08.239
<v Speaker 13>we've operated through all types of macro environments and our

0:31:08.280 --> 0:31:10.280
<v Speaker 13>focus is always the same, which is support merchants.

0:31:10.520 --> 0:31:11.480
<v Speaker 6>And I think what we're.

0:31:11.320 --> 0:31:13.440
<v Speaker 13>Seeing though is that, you know, whether during the pandemic,

0:31:13.480 --> 0:31:16.480
<v Speaker 13>for example, we introduce tools like you know, contact list

0:31:16.760 --> 0:31:19.680
<v Speaker 13>delivery back in twenty twenty. Well, now we're creating tools

0:31:19.680 --> 0:31:23.080
<v Speaker 13>to help merchants navigate cross border tariffs, navigate sort of

0:31:23.280 --> 0:31:25.840
<v Speaker 13>some global uncertainty, to make sure they have everything they need.

0:31:26.080 --> 0:31:29.160
<v Speaker 13>So we're not complacent about this. We're tracking macro conditions,

0:31:29.280 --> 0:31:33.600
<v Speaker 13>but so far Shopify merchants consistently outperform the overall market,

0:31:33.680 --> 0:31:35.959
<v Speaker 13>and we're seeing that that they're they're you know, they

0:31:36.000 --> 0:31:37.000
<v Speaker 13>have a lot of buyers right now.

0:31:37.560 --> 0:31:39.560
<v Speaker 3>I think we'll see great to have some time with

0:31:39.600 --> 0:31:40.720
<v Speaker 3>the president of Shopify.

0:31:41.160 --> 0:31:42.680
<v Speaker 4>What a weekend it's been for you. I'm sure.

0:31:43.200 --> 0:31:46.840
<v Speaker 3>Now coming up, we speak with Runway CEO Christoval Venez

0:31:46.960 --> 0:31:50.160
<v Speaker 3>Valenzuela and as of course, the company's launching its latest

0:31:50.200 --> 0:31:52.520
<v Speaker 3>text and video model is already top of the leaderboards

0:31:52.640 --> 0:31:53.600
<v Speaker 3>as a blue bag tech.

0:32:03.960 --> 0:32:06.120
<v Speaker 4>Run Way and it's announced.

0:32:05.600 --> 0:32:09.040
<v Speaker 3>The launch of its latest AI model, Gen four point five,

0:32:09.360 --> 0:32:12.040
<v Speaker 3>which aims to deliver the best in the world text

0:32:12.080 --> 0:32:14.520
<v Speaker 3>to video. Joining us out to break down why it's that.

0:32:14.560 --> 0:32:17.960
<v Speaker 3>It's Christoph Valnezuela, Runway CEO. Last time I checked on

0:32:17.960 --> 0:32:20.240
<v Speaker 3>the leaderboards, some of them already have you at the

0:32:20.320 --> 0:32:23.640
<v Speaker 3>number one spot, Cristoval, What is it that yours offers

0:32:23.720 --> 0:32:26.200
<v Speaker 3>versus Sora two versus the latest Google offering?

0:32:27.200 --> 0:32:30.040
<v Speaker 14>Yeah, that's true. So we just released a Runway Gen

0:32:30.120 --> 0:32:33.080
<v Speaker 14>four point five, our latest video model, and it tops

0:32:33.400 --> 0:32:36.720
<v Speaker 14>the charts in terms of performance and vetchmarks across all

0:32:36.760 --> 0:32:39.480
<v Speaker 14>other models, which is kind of like a big deal

0:32:39.520 --> 0:32:44.400
<v Speaker 14>within research. Is the first time a company has lead

0:32:44.720 --> 0:32:47.960
<v Speaker 14>led the leaderboards in this company not being basically a

0:32:48.000 --> 0:32:52.280
<v Speaker 14>large research lab. It's a model that surpasses pretty much

0:32:52.280 --> 0:32:56.360
<v Speaker 14>all other models with incredible consistency, really good realistic results

0:32:56.360 --> 0:33:00.280
<v Speaker 14>and just like across the board, amazing creative results. Really

0:33:00.320 --> 0:33:02.320
<v Speaker 14>excited to get this modell owed and have people use

0:33:02.360 --> 0:33:02.760
<v Speaker 14>it now.

0:33:02.760 --> 0:33:05.600
<v Speaker 3>You had it out there on the leader boards with

0:33:05.680 --> 0:33:09.560
<v Speaker 3>a pseudonym before it was launched in public, Crystabal, and

0:33:09.600 --> 0:33:14.480
<v Speaker 3>you had it called David. Is that a Goliath David construct?

0:33:14.560 --> 0:33:18.440
<v Speaker 3>How are you competing against these vast generous AI companies.

0:33:19.360 --> 0:33:21.000
<v Speaker 14>Yeah, it was a little bit of a play with

0:33:21.280 --> 0:33:23.480
<v Speaker 14>that with David and Goliath. I think we've we've managed

0:33:23.520 --> 0:33:26.880
<v Speaker 14>to outcompete the largest research labs by being very focused.

0:33:27.080 --> 0:33:30.280
<v Speaker 14>I think it's the era of both research and efficiency.

0:33:30.880 --> 0:33:33.800
<v Speaker 14>And if you're able to maintain the focus as a team,

0:33:34.600 --> 0:33:37.280
<v Speaker 14>you're able to deliver kind of ground vacant results. And

0:33:37.280 --> 0:33:39.080
<v Speaker 14>we're proving this. This is the first time I think

0:33:39.080 --> 0:33:41.920
<v Speaker 14>we're again anyone has kind of topped the leader boards,

0:33:42.000 --> 0:33:46.200
<v Speaker 14>not being a large, well funded research lab. And I

0:33:46.240 --> 0:33:48.360
<v Speaker 14>think part of it is really like the team, and

0:33:48.400 --> 0:33:50.160
<v Speaker 14>it's really also the vision. We've been working on this

0:33:50.160 --> 0:33:52.920
<v Speaker 14>for almost seven years. We start working on video models

0:33:52.920 --> 0:33:54.760
<v Speaker 14>when the world and even like the other boards to

0:33:54.840 --> 0:33:57.280
<v Speaker 14>start with, and I think eventually you build some sort

0:33:57.320 --> 0:34:00.200
<v Speaker 14>of intuition and really good like momentum as to to

0:34:00.240 --> 0:34:02.640
<v Speaker 14>improve these models over time. And look this is still

0:34:02.680 --> 0:34:04.920
<v Speaker 14>like the worst the models will ever be, and so

0:34:04.960 --> 0:34:06.480
<v Speaker 14>we have a bunch of more releases coming up that

0:34:06.520 --> 0:34:09.879
<v Speaker 14>I think will further improve both pre training and post training,

0:34:09.920 --> 0:34:11.040
<v Speaker 14>and so we're very excited for that.

0:34:12.800 --> 0:34:14.080
<v Speaker 6>Chris Belle, you're not that small.

0:34:14.320 --> 0:34:17.360
<v Speaker 2>You raised three hundred million dollars in April at the

0:34:17.440 --> 0:34:20.760
<v Speaker 2>foremost four billion dollar or three point three billion dollar valuation.

0:34:21.160 --> 0:34:23.279
<v Speaker 2>I do think there's some value in you explaining what

0:34:23.360 --> 0:34:26.640
<v Speaker 2>was different this time around in the training of Gen

0:34:26.719 --> 0:34:29.239
<v Speaker 2>four point five and the data set. What is it

0:34:29.280 --> 0:34:32.839
<v Speaker 2>that you did differently and that has allowed you to

0:34:32.880 --> 0:34:34.440
<v Speaker 2>release such a competitive model.

0:34:35.840 --> 0:34:37.920
<v Speaker 14>I think there's a lot of different things. On the

0:34:37.960 --> 0:34:41.360
<v Speaker 14>one end, pre training has been one of our focus

0:34:41.360 --> 0:34:44.080
<v Speaker 14>for a long time making sure that both the algorithmic

0:34:44.160 --> 0:34:46.759
<v Speaker 14>improvements are there, but also the way we caption, we

0:34:46.880 --> 0:34:50.160
<v Speaker 14>structure data, we build the models themselves and test them

0:34:50.800 --> 0:34:52.440
<v Speaker 14>the best way. We need to think about a lot

0:34:52.440 --> 0:34:55.680
<v Speaker 14>of the researchers. You need to conduct multiple experiments through

0:34:55.760 --> 0:34:58.759
<v Speaker 14>multiple months, and there's a lot of learnings within what

0:34:58.840 --> 0:35:01.200
<v Speaker 14>you how you run those experiments, and I think what

0:35:01.239 --> 0:35:05.319
<v Speaker 14>we're kind of proving is that infinite resources. I mean,

0:35:05.360 --> 0:35:08.560
<v Speaker 14>you're right, we're definitely not in the smallest side of

0:35:09.680 --> 0:35:12.000
<v Speaker 14>our company, but we're not a trillion dollar or four

0:35:12.040 --> 0:35:15.080
<v Speaker 14>trillion dollar company yet still managing to old compete. The

0:35:15.120 --> 0:35:17.640
<v Speaker 14>research with of those companies is kind of it's kind

0:35:17.680 --> 0:35:19.680
<v Speaker 14>of insane, to be honest, and I think a lot

0:35:19.680 --> 0:35:21.560
<v Speaker 14>of it has to do with the experiments and the

0:35:21.640 --> 0:35:24.560
<v Speaker 14>research taste, which is, if you're running all these experiments,

0:35:24.800 --> 0:35:27.080
<v Speaker 14>how do you make sure they're effective and efficient? And

0:35:27.120 --> 0:35:29.319
<v Speaker 14>I think that's I think something we've done really, really well,

0:35:29.320 --> 0:35:31.160
<v Speaker 14>which is focusing a lot on pre training.

0:35:31.800 --> 0:35:35.400
<v Speaker 2>Gen point four four point four point five apologies has

0:35:35.440 --> 0:35:36.960
<v Speaker 2>been released to your enterprise customers.

0:35:37.000 --> 0:35:39.560
<v Speaker 6>Straight away, what's the business model for it?

0:35:39.920 --> 0:35:42.120
<v Speaker 2>You know, how do you guys monetize on top of

0:35:42.160 --> 0:35:43.800
<v Speaker 2>that You've just talked a lot about research.

0:35:45.160 --> 0:35:47.960
<v Speaker 14>I mean, it's pretty straightforward. We have subscriptions and we

0:35:48.040 --> 0:35:50.200
<v Speaker 14>have credits that people can buy to use the model.

0:35:50.280 --> 0:35:54.320
<v Speaker 14>We're releasing this model to gaming companies, to studios, to brands,

0:35:54.320 --> 0:35:56.560
<v Speaker 14>to production companies to create it from the world. We

0:35:56.640 --> 0:36:00.319
<v Speaker 14>have tens of millions of users actively using Runway. And again,

0:36:00.320 --> 0:36:02.399
<v Speaker 14>the efficiency side is not only coming from the pre

0:36:02.440 --> 0:36:04.640
<v Speaker 14>training or the training set of things. We've also been

0:36:04.680 --> 0:36:08.320
<v Speaker 14>incredibly efficient and deplined the models. We partner with Nvidia

0:36:08.440 --> 0:36:10.799
<v Speaker 14>for a lot of this work and we managed to

0:36:10.840 --> 0:36:13.480
<v Speaker 14>get really good performance of inference, and so we actually

0:36:13.560 --> 0:36:16.000
<v Speaker 14>make money every time you use the model. And that's

0:36:16.160 --> 0:36:18.680
<v Speaker 14>I think a remarkable feed not only on how we

0:36:18.800 --> 0:36:20.719
<v Speaker 14>think about the research that needs to be done, but

0:36:20.760 --> 0:36:23.760
<v Speaker 14>also the market and deploying this. So the union economics

0:36:23.760 --> 0:36:25.880
<v Speaker 14>makes sense because.

0:36:25.680 --> 0:36:28.960
<v Speaker 2>That's about sorry, just real quick. So you're saying you're

0:36:29.000 --> 0:36:31.120
<v Speaker 2>profitable running you.

0:36:31.120 --> 0:36:34.279
<v Speaker 14>Know we're making I'm saying we're making money by every

0:36:34.280 --> 0:36:36.000
<v Speaker 14>time you use the model. We have a good margin

0:36:36.040 --> 0:36:38.319
<v Speaker 14>on the model itself and how you use it. We

0:36:38.400 --> 0:36:41.239
<v Speaker 14>managed to deliver a really good performance on inference, so

0:36:41.400 --> 0:36:44.080
<v Speaker 14>the model is still like cheap to use compared to

0:36:44.120 --> 0:36:47.480
<v Speaker 14>other models, while still being the best model in the category.

0:36:47.560 --> 0:36:51.200
<v Speaker 14>And that's incredibly hard to do. Again, it just goes

0:36:51.239 --> 0:36:53.239
<v Speaker 14>back to the focus. The team has sad for quittent time.

0:36:54.360 --> 0:36:56.920
<v Speaker 2>Christ About Valenzuela Runway CEO, It's great to have you

0:36:56.960 --> 0:37:05.960
<v Speaker 2>back on bloom Back Tech. It was a landmark opening

0:37:06.000 --> 0:37:10.040
<v Speaker 2>for Disney's Zootopia two. The sequel delivered the biggest global

0:37:10.080 --> 0:37:13.080
<v Speaker 2>opening ever for an animated film, grossing five hundred and

0:37:13.120 --> 0:37:16.040
<v Speaker 2>fifty six million dollars worldwide. The strong debut is a

0:37:16.080 --> 0:37:20.200
<v Speaker 2>welcome boost for Disney's animation unit after several lackluster releases.

0:37:20.200 --> 0:37:23.279
<v Speaker 2>Over the Thanksgiving weekend, Zootopia pulled in one hundred and

0:37:23.320 --> 0:37:26.000
<v Speaker 2>fifty six million dollars in the US and Canada.

0:37:26.239 --> 0:37:28.840
<v Speaker 3>Carot can't wait to watch it mean while staying in media,

0:37:28.920 --> 0:37:32.680
<v Speaker 3>it's a final day for second round bids from Comcast, Paramount,

0:37:32.719 --> 0:37:35.960
<v Speaker 3>Sky Nance and Netflix in the episuite for Warner Brothers Discovery.

0:37:36.120 --> 0:37:38.759
<v Speaker 3>Here to break it all down, Felix Jollett, Look, are

0:37:38.760 --> 0:37:39.720
<v Speaker 3>we likely to see.

0:37:39.600 --> 0:37:41.160
<v Speaker 4>Sweetened deals coming on here?

0:37:41.440 --> 0:37:42.840
<v Speaker 3>And how are we going to know who's in the

0:37:43.080 --> 0:37:44.080
<v Speaker 3>running for first place?

0:37:44.080 --> 0:37:45.640
<v Speaker 4>Because some of them want pot of the business, some

0:37:45.640 --> 0:37:46.279
<v Speaker 4>of them want all of it.

0:37:46.320 --> 0:37:48.879
<v Speaker 15>Yeah, it's not exactly in Apple's Apples comparison.

0:37:49.280 --> 0:37:49.480
<v Speaker 2>You know.

0:37:49.520 --> 0:37:54.120
<v Speaker 15>Obviously, Netflix and Comcast want just the stream in the studios,

0:37:54.320 --> 0:37:57.560
<v Speaker 15>whereas Paramount is seeking the whole company. You know, I

0:37:57.560 --> 0:37:59.759
<v Speaker 15>think the big question is Ken David Zaslav gat the

0:37:59.760 --> 0:38:02.399
<v Speaker 15>third dollars to share he's after you know, there's been

0:38:02.440 --> 0:38:04.840
<v Speaker 15>some skepticism that the bids will come in that high.

0:38:05.200 --> 0:38:07.560
<v Speaker 15>I think all of these companies, you know, they're looking

0:38:07.600 --> 0:38:10.239
<v Speaker 15>at the future. It's going to be an incredibly competitive landscape.

0:38:10.280 --> 0:38:13.640
<v Speaker 15>They feel like they need these assets, uh, to compete

0:38:13.640 --> 0:38:17.279
<v Speaker 15>with all the other distractions online, the you know, YouTube's,

0:38:17.320 --> 0:38:20.560
<v Speaker 15>the tiktoks everything. So, yeah, it's going to be a

0:38:20.560 --> 0:38:23.839
<v Speaker 15>big deal, and I think it remains to be seen

0:38:24.120 --> 0:38:27.479
<v Speaker 15>will they meet what zablab wants do?

0:38:27.480 --> 0:38:30.120
<v Speaker 2>Do we know what they meant by sweetened bids? What

0:38:30.160 --> 0:38:30.920
<v Speaker 2>it is they wanted.

0:38:30.960 --> 0:38:34.160
<v Speaker 15>In addition, yeah, I think there's you know, part of

0:38:34.160 --> 0:38:36.880
<v Speaker 15>it is just how they're going to finance it. Also

0:38:37.280 --> 0:38:40.480
<v Speaker 15>apparently they want more cash, you know, versus stock.

0:38:41.360 --> 0:38:43.480
<v Speaker 6>You know, will there be breakup fees?

0:38:44.040 --> 0:38:47.440
<v Speaker 15>All of these companies face pretty you know, big regulatory

0:38:47.680 --> 0:38:50.360
<v Speaker 15>questions about whether or not these deals. I mean, Netflix

0:38:50.400 --> 0:38:53.960
<v Speaker 15>has the number one streamer. You'd be getting HBO Max assets,

0:38:54.120 --> 0:38:56.239
<v Speaker 15>which would be you know, the number three streamer in

0:38:56.280 --> 0:38:59.960
<v Speaker 15>the market. You know, with NBC, they have a broad

0:39:00.120 --> 0:39:01.799
<v Speaker 15>cast license. What do you do with that if you

0:39:01.840 --> 0:39:04.680
<v Speaker 15>need to transfer. We've seen all these FCC issues come

0:39:04.760 --> 0:39:11.120
<v Speaker 15>up over broadcast issues. And with Paramount you know they've

0:39:11.280 --> 0:39:14.920
<v Speaker 15>just bought you know, they're still working on the previous

0:39:14.920 --> 0:39:17.640
<v Speaker 15>deal with Skydans and Paramounts. So there are issues facing

0:39:17.680 --> 0:39:21.560
<v Speaker 15>all these companies. You know, Paramount's been very aggressive about saying,

0:39:21.640 --> 0:39:25.520
<v Speaker 15>oh we have you know, Trump's blessing, and so it's

0:39:25.520 --> 0:39:27.680
<v Speaker 15>going to be we have the easiest, clearest pathway to

0:39:27.680 --> 0:39:28.680
<v Speaker 15>get this deal done.

0:39:29.400 --> 0:39:32.360
<v Speaker 3>I think has been a very busy weekend for many lawyers,

0:39:32.400 --> 0:39:34.919
<v Speaker 3>at least on an m and a strategist of the deal,

0:39:35.040 --> 0:39:36.400
<v Speaker 3>Bloomberg's Felix Jillette.

0:39:36.440 --> 0:39:37.160
<v Speaker 4>Great breakdown.

0:39:37.480 --> 0:39:42.000
<v Speaker 3>Now turning to Amazon's AWS Reinvent conference kicks off today

0:39:42.000 --> 0:39:44.040
<v Speaker 3>in Las Vegas, where tech leaders are gathering for the

0:39:44.080 --> 0:39:47.320
<v Speaker 3>latest innovations in cloud and networking technology. Let's get to

0:39:47.360 --> 0:39:49.840
<v Speaker 3>what we can expect down Ragrana. He's Blenberg Intelligence senior

0:39:49.880 --> 0:39:52.319
<v Speaker 3>tech analysts. So it's been a busy weekend and run up.

0:39:52.360 --> 0:39:55.160
<v Speaker 3>I'm sure for Amazon employeese too. I really want to

0:39:55.160 --> 0:39:57.000
<v Speaker 3>hear about trainum three. Is that what we're going to

0:39:57.040 --> 0:40:00.000
<v Speaker 3>be hearing about about the competition in chips?

0:40:00.000 --> 0:40:02.000
<v Speaker 16>I think they have to because you know, Google's really

0:40:02.040 --> 0:40:04.440
<v Speaker 16>put down the gauntlet for all the risk of the

0:40:04.480 --> 0:40:07.160
<v Speaker 16>hyper scale clout providers to say that you know, we

0:40:07.280 --> 0:40:10.239
<v Speaker 16>have this chip that's doing really well. What can Amazon do?

0:40:10.280 --> 0:40:12.080
<v Speaker 16>In fact, what can Microsoft do? A lot down the

0:40:12.120 --> 0:40:15.200
<v Speaker 16>road in that framework, because at the end of the day,

0:40:15.360 --> 0:40:17.800
<v Speaker 16>if you can build your own chip, it's much cheaper

0:40:17.840 --> 0:40:20.919
<v Speaker 16>in terms of margins and you know your workloads, et cetera.

0:40:22.280 --> 0:40:26.520
<v Speaker 2>You know, reinvent is a developers or industry conference, right

0:40:26.520 --> 0:40:28.520
<v Speaker 2>there's going to be things specific to that. But actually,

0:40:28.840 --> 0:40:31.240
<v Speaker 2>Anna Rag, I think you agree, there's some very general

0:40:31.360 --> 0:40:36.040
<v Speaker 2>questions the AWS need to answer about capacity planning, their

0:40:36.080 --> 0:40:39.320
<v Speaker 2>exposure to one type of GPU or accelerator versus another.

0:40:39.800 --> 0:40:41.640
<v Speaker 2>What would be top of mind for you just to

0:40:41.680 --> 0:40:43.360
<v Speaker 2>get the basics from AWS on.

0:40:44.600 --> 0:40:46.640
<v Speaker 16>So one of the things we'll be hearing for is

0:40:47.480 --> 0:40:49.960
<v Speaker 16>what is their expansion plans right now? What are their

0:40:50.000 --> 0:40:52.799
<v Speaker 16>customers doing in terms of deploying AI. One of the

0:40:52.800 --> 0:40:55.200
<v Speaker 16>most important parts of AWS story that I don't think

0:40:55.239 --> 0:40:59.279
<v Speaker 16>people understand. It's like need deep into enterprises and that's

0:40:59.320 --> 0:41:01.480
<v Speaker 16>where a lot of the data resides. So for the

0:41:01.520 --> 0:41:03.640
<v Speaker 16>next level of growth for us, it's not going to

0:41:03.640 --> 0:41:06.200
<v Speaker 16>come from consumer apps. It's going to come from enterprise

0:41:06.239 --> 0:41:09.759
<v Speaker 16>AI adoption, and a large portion of that is on AWS.

0:41:09.960 --> 0:41:11.719
<v Speaker 16>What are they doing with it, what's kind of their

0:41:11.760 --> 0:41:14.640
<v Speaker 16>partnership with open AI right now? How many models do

0:41:14.680 --> 0:41:17.640
<v Speaker 16>they have on their services and what kind of adoption

0:41:17.719 --> 0:41:18.640
<v Speaker 16>rate you're seeing.

0:41:19.600 --> 0:41:23.320
<v Speaker 2>Started twenty twenty five asking what would happen between AWS

0:41:23.560 --> 0:41:26.560
<v Speaker 2>and open ai kind of know a bit more now,

0:41:26.960 --> 0:41:28.719
<v Speaker 2>How interested are you in that relationship?

0:41:29.719 --> 0:41:31.560
<v Speaker 16>I think it's a very important one because at the

0:41:31.640 --> 0:41:33.719
<v Speaker 16>end of the day, OpenAI will not be able to

0:41:34.480 --> 0:41:38.439
<v Speaker 16>get into enterprises at that same level as it has

0:41:38.480 --> 0:41:41.399
<v Speaker 16>on the consumer side if it's not on AWS, because

0:41:41.440 --> 0:41:42.920
<v Speaker 16>at the end of the day, you know, if you

0:41:43.040 --> 0:41:46.120
<v Speaker 16>look at their relative size of AWS in terms of

0:41:46.160 --> 0:41:49.480
<v Speaker 16>revenue compared to the others, it's still much bigger. The

0:41:49.840 --> 0:41:51.680
<v Speaker 16>issue that they are facing is, you know, they don't

0:41:51.680 --> 0:41:55.640
<v Speaker 16>have a consumer app like chat GPT that runs on AWS.

0:41:55.960 --> 0:41:59.120
<v Speaker 16>But when it comes to enterprise workloads, they're still the

0:41:59.200 --> 0:41:59.719
<v Speaker 16>place to go.

0:42:01.280 --> 0:42:04.000
<v Speaker 2>And Arek Rana of Bloomberg Intelligence teeing us up. Thank

0:42:04.040 --> 0:42:06.960
<v Speaker 2>you very much. That does it for this edition of

0:42:06.960 --> 0:42:10.320
<v Speaker 2>Bloomberg Tech. Tune in to Bloomberg Television tomorrow Carrow for

0:42:10.480 --> 0:42:12.759
<v Speaker 2>more out of AWS to bring you a live conversation

0:42:13.160 --> 0:42:17.279
<v Speaker 2>with aws's CEO Matt Garman and actually many other executives

0:42:17.400 --> 0:42:18.359
<v Speaker 2>at AWS two.

0:42:18.480 --> 0:42:18.960
<v Speaker 6>Don't miss it.

0:42:19.040 --> 0:42:20.439
<v Speaker 4>You're going to be racing there. I mean, well, don't

0:42:20.480 --> 0:42:22.080
<v Speaker 4>forget to check out our podcast.

0:42:22.360 --> 0:42:24.960
<v Speaker 3>Find it on the terminal as well as online on Apple, Spotify,

0:42:25.040 --> 0:42:27.719
<v Speaker 3>and iHeart plenty to digest in the latest aideals.

0:42:27.719 --> 0:42:31.520
<v Speaker 4>Are these circular? This is just a virtuous cycle from

0:42:31.560 --> 0:42:33.800
<v Speaker 4>New York for San Francisco. This is Bloomberg Tech