WEBVTT - Nvidia Earnings This Week; Biggest Power Deal in History

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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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 Loo in San Francisco.

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

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<v Speaker 3>All eyes on Nvidia this week as investors anxiously await

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<v Speaker 3>the company's earnings results, plus the AI data center Boom

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<v Speaker 3>triggers the largest power deal in history with next Era

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<v Speaker 3>acquiring Dominion Energy for sixty seven billion dollars, and Elon

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<v Speaker 3>Musk says he's in Texas working on plans for the

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<v Speaker 3>space XIPO.

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<v Speaker 2>The filing come as soon as this week.

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<v Speaker 3>But first we check in on these markets, which again

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<v Speaker 3>are sinking for a second straight day. Like the NASA

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<v Speaker 3>one hundred under pressure on Friday, it was around anxiety

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<v Speaker 3>or underwhelmed between the US China relations. Now it's front

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<v Speaker 3>and center back on geopolitics and the US around conflict.

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<v Speaker 3>We're off by five tenths of a percent as all

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<v Speaker 3>pushes higher, but we're seeing the Semiconductor index once again

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<v Speaker 3>taking a pullback.

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<v Speaker 2>We're down by two point two percent.

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<v Speaker 3>In fact, we've lost about six percent on this index

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<v Speaker 3>in the last two training days as we saw a

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<v Speaker 3>significant sell off on Friday, it ramps up into another day.

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<v Speaker 4>Now.

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<v Speaker 3>All of this is why we still try to digest

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<v Speaker 3>the reality of the AI demand and spend, and all

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<v Speaker 3>eyes are going to be over in Las Vegas on

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<v Speaker 3>Dell World today. This is as we think about how

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<v Speaker 3>Dell is putting on its annual conference with developers, and

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<v Speaker 3>we're trying to understand what new tech, new innovations, what

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<v Speaker 3>new offerings are on board. But there's a very special

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<v Speaker 3>conversation we had a bit later. Ed Ludlow's standing by

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<v Speaker 3>and look, you're going to speaking to the men of

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<v Speaker 3>the moment a little bit later.

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<v Speaker 5>Yeah, And there's a lot that needs to be reconciled.

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<v Speaker 6>Right.

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<v Speaker 5>This is the first time that the Gensen one will

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<v Speaker 5>be speaking, having comeback from China, and what needs to

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<v Speaker 5>be reconciled is that in March, at in Vidia's own conference,

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<v Speaker 5>Gensen one said that they were ramping up their supply

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<v Speaker 5>chain for H two hundred. The US had approved the

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<v Speaker 5>licenses they could do business in that market. The president

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<v Speaker 5>on Friday at board Air Force one said that he

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<v Speaker 5>did discuss H two hundreds was ujingping, but China does

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<v Speaker 5>not want them, and so now we're in this holding

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<v Speaker 5>pattern where we need to explain to the market what's

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<v Speaker 5>going on, because a big part of the trade Friday

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<v Speaker 5>and a little bit into this morning's trade has been

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<v Speaker 5>this idea that nothing concrete came out of President Trump's

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<v Speaker 5>visits to China with a video kind of the center

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<v Speaker 5>of it. But generally speaking, so many supply chain questions

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<v Speaker 5>post melt up in the AI infrastructure trade.

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<v Speaker 3>Yeah, maybe we take a breather in that melt up

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<v Speaker 3>just on the day ed or a second straight day,

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<v Speaker 3>But meanwhile, the enthusiasm doesn't seem to be particularly being

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<v Speaker 3>curbed for in video. If you're looking, some of the

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<v Speaker 3>analysts knows today.

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<v Speaker 5>Yeah, it's fun to just hit fa go on the

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<v Speaker 5>Bloomberg terminal and just go back to basics right when

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<v Speaker 5>they had their print on Wednesday. EPs growth above eighty percent,

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<v Speaker 5>top line growth just below eighty percent. And what's so

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<v Speaker 5>fascinating about being here at Deltagies World is that if

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<v Speaker 5>you cook back at history of how these companies used

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<v Speaker 5>to do business, right, Nvidio never really sort of had

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<v Speaker 5>Gensen one fly around the world and deliver chips directly

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<v Speaker 5>to the end user. Dell was the kind of key

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<v Speaker 5>sales channel and so in the era of more agenta

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<v Speaker 5>KI where more enterprises are investing to have the compute

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<v Speaker 5>capacity they need. It's a really interesting lens. The timing

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<v Speaker 5>is curious, of course, right speaking Monday in video reports

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<v Speaker 5>earnings Wednesday, but they are very key partners in the

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<v Speaker 5>state of play for AI servers what the AI factory

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<v Speaker 5>but data center for running AI workloads. And you know,

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<v Speaker 5>this is kind of his playbook, right Carol, Let's be

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<v Speaker 5>honest about it. You know, Jensen does tend to appear

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<v Speaker 5>alongside his partners often. But I think we'll learn a

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<v Speaker 5>lot today about the state of the world, the demand levers,

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<v Speaker 5>and also the issues with supply.

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<v Speaker 2>So much to learn ed.

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<v Speaker 3>Ludlow is going to be with us a little bit

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<v Speaker 3>later in the show, but tune in later today. It's

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<v Speaker 3>going to be an exclusive intero with the CEOs, as

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<v Speaker 3>he says, of Dell of Nvidia, live from Dell Technologies World.

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<v Speaker 3>That's a two thirty pm Eastern eleven thirty am Pacific time.

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<v Speaker 3>But as we think ahead to Wednesday and videos earnings

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<v Speaker 3>out after the Bell, I want to bring you what

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<v Speaker 3>to expect with Manday seeing Bloomberg Intelligence and Mandy. We

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<v Speaker 3>just heard a little bit about the drivers the trends

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<v Speaker 3>from ED, but get into the nitty gritty on Nvidia.

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<v Speaker 3>Is there as much enthusiasm as to really what the

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<v Speaker 3>CPUs are bringing to bear as well as the GPUs

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<v Speaker 3>and the infrastructure.

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<v Speaker 7>Yeah. Look, I mean when a company is growing top

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<v Speaker 7>line the way in Vidio is growing, and that top

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<v Speaker 7>line growth seems to be accelerating.

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<v Speaker 8>It just there's no doubt that, you know, they are

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<v Speaker 8>capitalizing on the demand and the chips remain in short supply.

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<v Speaker 8>The only thing I would caution on is you know,

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<v Speaker 8>the rising memory prices, so we still have to see

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<v Speaker 8>the impact of that on in videos margins, and they

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<v Speaker 8>have talked about, you know, maintaining those mid seventy percent

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<v Speaker 8>growth margins and the other the thing is there's been

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<v Speaker 8>that big shift from training to more inferencing and reasoning.

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<v Speaker 8>And we know Nvidia almost had a monopoly when it

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<v Speaker 8>comes to training workloads, but when it comes to infrincing

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<v Speaker 8>and now with the rise of Entropic, you know, and

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<v Speaker 8>how much traction Entropic has had with coding agents, it

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<v Speaker 8>remains to be seen if Nvidia still has that bulk

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<v Speaker 8>of the share when it comes to the use of

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<v Speaker 8>their chips, and I think that's something we'll try to

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<v Speaker 8>ascertain with the earnings call.

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<v Speaker 3>I mean, it may move is moves in inference. I

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<v Speaker 3>think about the acquisition of Grock with a queue not

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<v Speaker 3>like k but Mandie talk to us about what we

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<v Speaker 3>might hear about that partnership, about what they're building to

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<v Speaker 3>serve the inference market.

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<v Speaker 7>Absolutely, and you bring up a very good point that

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<v Speaker 7>they have talked about, you know, Grock being a very

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<v Speaker 7>big driver on the infrincing side to the tune, you know,

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<v Speaker 7>north of twenty billion dollars just from that acquisition. What

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<v Speaker 7>they're doing integrating that acquisition. And look, I mean we

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<v Speaker 7>know Entropic has also partnered with Nvidia now and Anthropic

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<v Speaker 7>is the one that is had the most traction you know,

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<v Speaker 7>this year with coding agents. So from that perspective, some

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<v Speaker 7>of those influencing workloads will be deployed on Brock. And

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<v Speaker 7>to your point, you know, AGENTAI does require a lot

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<v Speaker 7>more CPUs, which is why we've seen you know the

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<v Speaker 7>likes of Intel and AMD do very well. So it

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<v Speaker 7>will be interesting to see how Nvidia is positioned in

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<v Speaker 7>all of this with you know, CPUs also having their

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<v Speaker 7>moment when it comes to the chip DEMND.

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<v Speaker 3>That's looking towards Wednesday, after the bell, all after that

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<v Speaker 3>key conversation that Ed has Later today, blumbg Intelligence is

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<v Speaker 3>man deep saying thank you very much, Elo Musk. He

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<v Speaker 3>says he's back in Texas working on plans for that

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<v Speaker 3>SpaceX ipo as the rocket and AI company prepares what

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<v Speaker 3>could be the largest listing ever. Now Mask made the

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<v Speaker 3>comments virtually the sum International Smart Mobility Summer in Tel Aviv.

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<v Speaker 9>Take listen IPO. You know we've going to get the

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<v Speaker 9>ipo SpaceX ipo going pretty.

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<v Speaker 10>Zoon, I think.

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<v Speaker 3>Meanwhile, SpaceX has notified investors it's executing a five for

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<v Speaker 3>one stock split. It's lowering the per share price for investors.

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<v Speaker 3>In an email, shareholders were told the fair market value

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<v Speaker 3>are of each share was adjusted to about one hundred

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<v Speaker 3>and five dollars roughly five dred and twenty seven dollars

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<v Speaker 3>following the split.

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<v Speaker 2>According to sources.

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<v Speaker 3>Now coming up CME and Silicon Data, they are teaming

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<v Speaker 3>up to create a futures market for computing power, a

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<v Speaker 3>key resource driving the AI boom. Silicon Data CEO Carmen

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<v Speaker 3>Lee is going to be joining us. This is Rumberg Tech.

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<v Speaker 3>Let's take a look at today's big number, sixty seven

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<v Speaker 3>million dollars. This is the largest power deal in history

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<v Speaker 3>triggered by guess what.

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<v Speaker 2>AI data center?

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<v Speaker 3>Boom next Era is acquiring Dominion Energy for sixty seven

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<v Speaker 3>billion dollars in stock forging a giant utility.

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<v Speaker 2>It's going to span from Florida to Virginia's.

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<v Speaker 3>Tech hubs at Bluemmegg's Leanna Baker, who leads the M

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<v Speaker 3>and A team is here with us. Leanna, what is

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<v Speaker 3>it that the driving force here? Is it really all

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<v Speaker 3>about the AI compute?

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<v Speaker 4>Need?

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<v Speaker 11>You said it, and I'm surprised it took this long

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<v Speaker 11>to see a major deal in utility since demand for

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<v Speaker 11>power is at levels not seen since, you know, after

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<v Speaker 11>World War Two. So it was really a matter of

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<v Speaker 11>time for some of these giants to come together in

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<v Speaker 11>utilities because they need to team up to be able

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<v Speaker 11>to pay for the build out that's necessary for AI.

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<v Speaker 3>They say it's about scale, but with scale comes ayes

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<v Speaker 3>of regulators.

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<v Speaker 2>How easy is this going to be to get through?

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<v Speaker 11>From what we're hearing, It's not impossible. Now's the time

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<v Speaker 11>under you know, the Trump administration to go bold and

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<v Speaker 11>go big on deal making. But also where Dominion the

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<v Speaker 11>target is based. It's only in three states apparently. You know,

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<v Speaker 11>Virginia's data center ally is a really key part of this.

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<v Speaker 11>But because only three states might be needed for regulatory approval,

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<v Speaker 11>you know, this could could really happen within a year

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<v Speaker 11>to eighteen months. Of course, there's other regulatory bodies that

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<v Speaker 11>also regulate power, nuclear, et cetera. But it's not an

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<v Speaker 11>uphill battle. Analysts are saying, you know, it's not a

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<v Speaker 11>trivial regulatory review, but looks like it's going to be okay.

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<v Speaker 3>The timing is going to be key though, in terms

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<v Speaker 3>of there's a little of political pressure, a little bit

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<v Speaker 3>political focus on the cost of energy right now in

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<v Speaker 3>large pot because of the AI build out, So how

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<v Speaker 3>is that going to serve a customer base? Do we

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<v Speaker 3>have any idea what impact that happen pricing?

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<v Speaker 11>In the press release, they hit on this idea that

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<v Speaker 11>there's going to be these credits going to Dominion customers.

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<v Speaker 11>So they're very aware that they have to focus on

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<v Speaker 11>this idea of cost and price to make sure that

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<v Speaker 11>consumers don't think their utility bills are going to go

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<v Speaker 11>up because of this deal, so that will be key.

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<v Speaker 11>You're right, and you know time will tell if prices

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<v Speaker 11>will go up.

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<v Speaker 3>Leanna Baker an extraordinary m and a Monday. We thank

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<v Speaker 3>you for talking us through it. Look, we talk about

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<v Speaker 3>the need for energy within AI, but compute, of course

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<v Speaker 3>is officially becoming a financial asset class that we all

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<v Speaker 3>care about too. CME Group, Silicon Data then launching the

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<v Speaker 3>world's first futures market for AI computing power later this

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<v Speaker 3>year Penning regulatory Review now joining us, and please to

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<v Speaker 3>say in the studio is Silicon Data CEO. Commonly you're

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<v Speaker 3>also the CEO of Compute Exchange, So talk to us

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<v Speaker 3>first and foremost what the relationship with CM is going

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<v Speaker 3>to be bringing us. How important is it to have

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<v Speaker 3>a futures market and compute.

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<v Speaker 12>It's incredible important. I'm glad that like came in. This

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<v Speaker 12>week is exciting week for the semi industry as a whole.

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<v Speaker 12>As you mentioned energy spend, we're pubably going to spend

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<v Speaker 12>over ten trillion dollars this year. Think about the SPA market,

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<v Speaker 12>fund energy to call, location, to the server themselves. Everything

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<v Speaker 12>is at a commodity level. You need finance your infrastructure

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<v Speaker 12>to head to manage our risk exposures them While the

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<v Speaker 12>bank right they're underwriting trillion's dollars loans, how they manage

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<v Speaker 12>their exposure? How do they hatch your future volatility as online?

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<v Speaker 12>So from a commodity point of view, think about how

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<v Speaker 12>oil futures the wonderful job for people hatching oil fluctuation,

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<v Speaker 12>especially during the round wartime. So it's incredibly important to

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<v Speaker 12>have futures.

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<v Speaker 3>You mentioned the banks, but who else would be the

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<v Speaker 3>players involved in such a market that need to be

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<v Speaker 3>hatching right now?

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<v Speaker 12>So think about people who naturally long GPUs, so they

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<v Speaker 12>listen to themselves, new clouds, design houses, fabs, Everyone long

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<v Speaker 12>gp exposure. They want a way to hatch it through

0:11:37.440 --> 0:11:41.040
<v Speaker 12>short futures or produptions whoever needs compute just like you

0:11:41.120 --> 0:11:45.319
<v Speaker 12>and me, Like astartups, they spend billions of dollars on GPUs.

0:11:45.640 --> 0:11:48.520
<v Speaker 12>They need to hatch their costs as a complete component

0:11:48.559 --> 0:11:51.920
<v Speaker 12>to a line item. Traditionally, sales companies they do not

0:11:52.040 --> 0:11:54.400
<v Speaker 12>really have a cost line item, as I found people

0:11:54.720 --> 0:11:57.320
<v Speaker 12>now they do either found GPU level or token level

0:11:57.520 --> 0:11:59.800
<v Speaker 12>and it's a big line item coming up.

0:12:00.280 --> 0:12:03.640
<v Speaker 3>So the whole push is about transparency and an ability

0:12:03.720 --> 0:12:07.240
<v Speaker 3>to be able to put these sorts of assets on your.

0:12:07.960 --> 0:12:08.920
<v Speaker 2>Overall balance sheet.

0:12:09.000 --> 0:12:11.640
<v Speaker 3>But then when it comes transparency just about the cost

0:12:11.679 --> 0:12:14.120
<v Speaker 3>of compute, you've already been doing that with the computer exchange.

0:12:14.160 --> 0:12:16.040
<v Speaker 2>What is it thing you built there and who's using that?

0:12:16.320 --> 0:12:19.920
<v Speaker 12>It's great question. So compute changes farm market for GPO resources.

0:12:20.000 --> 0:12:22.720
<v Speaker 12>So we do four contracts as well as reserve contracts

0:12:22.760 --> 0:12:26.120
<v Speaker 12>for GPUs resources. So a lot of participants. I would

0:12:26.120 --> 0:12:29.400
<v Speaker 12>say all participants so far are the underlying consumption layer,

0:12:29.480 --> 0:12:31.680
<v Speaker 12>so AI startups all the way to the neon clouds,

0:12:31.800 --> 0:12:34.359
<v Speaker 12>so two really big sides of companies.

0:12:34.960 --> 0:12:36.679
<v Speaker 2>We work with European Neo.

0:12:36.520 --> 0:12:40.280
<v Speaker 12>Clouds, American New Clouds Sales Eastern Union Clouds. On flip side,

0:12:40.280 --> 0:12:43.600
<v Speaker 12>we have startups and enterprises globally. It's really fascinating you

0:12:43.640 --> 0:12:46.360
<v Speaker 12>see how people try to do longer term contracts because

0:12:46.360 --> 0:12:48.200
<v Speaker 12>they want to lock here in the rate. They don't

0:12:48.200 --> 0:12:51.840
<v Speaker 12>want the forty percent daily volatility comes on demand GPO pricing.

0:12:51.960 --> 0:12:54.520
<v Speaker 12>There's other way to hadg that fuel futureon options. So

0:12:54.520 --> 0:12:56.240
<v Speaker 12>we want to make sure we have the right venue

0:12:56.480 --> 0:12:59.480
<v Speaker 12>for the right use space. If you want to reserve GPUs,

0:12:59.559 --> 0:13:01.720
<v Speaker 12>you want to face called deliveries go to comput Change.

0:13:01.800 --> 0:13:04.720
<v Speaker 12>You want to hedge financial exposures, go to CME in

0:13:04.760 --> 0:13:05.240
<v Speaker 12>the future.

0:13:06.200 --> 0:13:08.320
<v Speaker 3>Tell us about what sparked this whole idea, I mean

0:13:08.360 --> 0:13:10.440
<v Speaker 3>for full transparency for audience. You used to be part

0:13:10.480 --> 0:13:13.080
<v Speaker 3>of the Bloomberg team, you used to work in this

0:13:13.240 --> 0:13:15.760
<v Speaker 3>very building. What was it that you felt was missing

0:13:15.760 --> 0:13:17.880
<v Speaker 3>in the market, Whether it was there literally no transparency

0:13:17.920 --> 0:13:21.559
<v Speaker 3>around around access to compute from one AWS versus a

0:13:21.600 --> 0:13:25.080
<v Speaker 3>Microsoft offering or a neocloud offering from Corway for example.

0:13:25.360 --> 0:13:28.240
<v Speaker 12>I won't say it's no transparency, but very little. So

0:13:28.360 --> 0:13:32.520
<v Speaker 12>unless you're in the ecosystem, you're actually in the neocloud transactions.

0:13:32.520 --> 0:13:34.480
<v Speaker 12>You prop do not know what's a resource price of

0:13:34.520 --> 0:13:37.600
<v Speaker 12>paying people paying for longer term contracts. The about term

0:13:37.640 --> 0:13:40.480
<v Speaker 12>structure risk today and I thinking about this lack of

0:13:41.000 --> 0:13:43.880
<v Speaker 12>visibility on demand pricing all the way to reserve which

0:13:44.000 --> 0:13:47.280
<v Speaker 12>is three years, five yearson deal. And also GPU is

0:13:47.320 --> 0:13:50.080
<v Speaker 12>not homogenius products. You need to normalize that. You can

0:13:50.200 --> 0:13:52.280
<v Speaker 12>just say, hey, I'm paying the HIT one hundred with

0:13:52.760 --> 0:13:55.680
<v Speaker 12>certain HVM, You're paying different HVM devents your location.

0:13:56.280 --> 0:13:57.640
<v Speaker 2>We can just do a simple average.

0:13:57.800 --> 0:14:01.560
<v Speaker 12>You need indices to normalize the online assets. So producers

0:14:01.559 --> 0:14:04.520
<v Speaker 12>as a data that's trackable a representative to the price

0:14:04.640 --> 0:14:05.520
<v Speaker 12>we are paying today.

0:14:05.600 --> 0:14:07.880
<v Speaker 3>You know, we're just talking to man thing of BlueBag inteligence,

0:14:07.880 --> 0:14:09.400
<v Speaker 3>who are saying that we need to get to the

0:14:09.440 --> 0:14:12.000
<v Speaker 3>bottom of invidious numbers that come after the bell on

0:14:12.040 --> 0:14:16.360
<v Speaker 3>Wednesday about how much HBM or memory costs really starting

0:14:16.360 --> 0:14:18.920
<v Speaker 3>to impact their margin. What is it you're saying in

0:14:18.960 --> 0:14:20.880
<v Speaker 3>your data about just the cost of computer at the.

0:14:20.880 --> 0:14:23.480
<v Speaker 12>Moment with the price that going up, the price going

0:14:23.560 --> 0:14:26.440
<v Speaker 12>up since December last year, it was pretty interesting last

0:14:26.480 --> 0:14:29.560
<v Speaker 12>year everyone's talking about, Hey, shouldn't the computer price always

0:14:29.560 --> 0:14:31.720
<v Speaker 12>come down and come down to zero by a year

0:14:31.760 --> 0:14:35.000
<v Speaker 12>A It's not really happening, supplied. The man shift every

0:14:35.000 --> 0:14:38.560
<v Speaker 12>single day, the term structure to forward pattern shift every

0:14:38.600 --> 0:14:41.600
<v Speaker 12>single day because people have these expectations, they do different

0:14:41.600 --> 0:14:44.280
<v Speaker 12>bournets come out all the time. You stood at last week.

0:14:44.360 --> 0:14:46.560
<v Speaker 12>Last year is a fab and this year is memory

0:14:46.600 --> 0:14:50.920
<v Speaker 12>and going forward maybe you call location space. So every

0:14:50.960 --> 0:14:51.720
<v Speaker 12>time it's different.

0:14:52.320 --> 0:14:54.160
<v Speaker 2>So pricing pressure is there for you.

0:14:54.280 --> 0:14:56.200
<v Speaker 3>The pressure is on to get this deal solidified with

0:14:56.200 --> 0:14:56.600
<v Speaker 3>the CME.

0:14:56.640 --> 0:14:59.040
<v Speaker 2>You've announced it, but we didn't say there's regulatory oversight.

0:14:59.400 --> 0:15:01.000
<v Speaker 2>What sort of he do you need to go through

0:15:01.000 --> 0:15:02.840
<v Speaker 2>what sort of questions we asked.

0:15:03.320 --> 0:15:05.800
<v Speaker 12>So we are actively working with CME and then review

0:15:05.840 --> 0:15:08.520
<v Speaker 12>with CFTC and other regulatory bodies.

0:15:08.800 --> 0:15:09.760
<v Speaker 2>It is a very.

0:15:09.640 --> 0:15:14.160
<v Speaker 12>Traditional data future products. We're not talking anything that's exotic, right.

0:15:14.200 --> 0:15:16.240
<v Speaker 12>We have done that for oil, for gas, for any

0:15:16.240 --> 0:15:18.400
<v Speaker 12>other as a classes, so I really don't see a

0:15:18.480 --> 0:15:21.640
<v Speaker 12>major concern farm for anyone.

0:15:21.160 --> 0:15:24.720
<v Speaker 3>And going global, how global is the offering that you

0:15:24.760 --> 0:15:27.840
<v Speaker 3>currently have with CME or indeed the compute exchange. Where

0:15:27.880 --> 0:15:29.960
<v Speaker 3>else do you likely to push in two more broad

0:15:29.960 --> 0:15:31.000
<v Speaker 3>offerings worldwide?

0:15:31.200 --> 0:15:34.480
<v Speaker 12>So we launched GPU Industries at Bloomberg Terminal last year,

0:15:34.520 --> 0:15:38.760
<v Speaker 12>the world's first GPU indices. We cover all prices x China,

0:15:39.240 --> 0:15:42.000
<v Speaker 12>so think about the European from the US. We normalize

0:15:42.000 --> 0:15:44.960
<v Speaker 12>it your location to win data points, so anything x

0:15:45.040 --> 0:15:48.280
<v Speaker 12>China is capture our indices. So ideally around the world

0:15:48.360 --> 0:15:50.800
<v Speaker 12>you can hatch that you're exposure with our indices.

0:15:51.520 --> 0:15:54.240
<v Speaker 3>Well, have to see how this progresses come back on.

0:15:54.320 --> 0:15:57.640
<v Speaker 3>I hope Silicon Data CEO commonly there on all things

0:15:58.000 --> 0:16:01.800
<v Speaker 3>futures market for compute becoming up. We're talking Apple's revamped Siri,

0:16:02.280 --> 0:16:04.640
<v Speaker 3>but it was expected to introduce a new privacy focused

0:16:04.640 --> 0:16:08.080
<v Speaker 3>features aimed at selling it apart from rival chatbelts or

0:16:08.120 --> 0:16:23.240
<v Speaker 3>on that. Next, this is Blueberg Tech time now for

0:16:23.280 --> 0:16:25.400
<v Speaker 3>Talking tech and first up by Jus. One percent drop

0:16:25.400 --> 0:16:28.720
<v Speaker 3>in sales was less than analysts had expected, void by

0:16:28.760 --> 0:16:31.600
<v Speaker 3>its new AI businesses, but the tech giant in China

0:16:31.760 --> 0:16:35.120
<v Speaker 3>is making a strategic pivot, shifting towards automated agents and

0:16:35.160 --> 0:16:36.400
<v Speaker 3>aipower cloud.

0:16:36.160 --> 0:16:38.960
<v Speaker 2>Units and away from search plus.

0:16:39.680 --> 0:16:43.320
<v Speaker 3>Publicis is acquiring online data broker live Ramp for about

0:16:43.320 --> 0:16:44.440
<v Speaker 3>two point five billion.

0:16:44.240 --> 0:16:44.880
<v Speaker 2>Dollars in cash.

0:16:45.440 --> 0:16:47.840
<v Speaker 3>Says it's a paying a thirty percent premium per share

0:16:47.880 --> 0:16:51.680
<v Speaker 3>to supercharge its data assets and accelerate its AI driven

0:16:51.720 --> 0:16:53.680
<v Speaker 3>marketing capabilities and.

0:16:53.600 --> 0:16:55.840
<v Speaker 2>Shares of Japanese chip maker Kyosha.

0:16:56.280 --> 0:16:58.960
<v Speaker 3>They were flooded with by orders after forecasting a massive

0:16:58.960 --> 0:17:02.160
<v Speaker 3>eight point two billion dollar quarterly operating report profit. It

0:17:02.240 --> 0:17:06.600
<v Speaker 3>is latest sign of meteoric demand hardware for AI services

0:17:06.640 --> 0:17:10.840
<v Speaker 3>and the resulting shortage and conventional memory chips. Let's talk

0:17:10.880 --> 0:17:13.120
<v Speaker 3>elsewhere in the world of AI, because Apple is set

0:17:13.119 --> 0:17:16.120
<v Speaker 3>to debut is iOS twenty seven and this year is WWDC,

0:17:16.320 --> 0:17:18.720
<v Speaker 3>featuring a revamped Siri experience.

0:17:18.800 --> 0:17:18.919
<v Speaker 7>Now.

0:17:18.920 --> 0:17:22.280
<v Speaker 3>The update is expected to introduce new privacy focus features.

0:17:22.400 --> 0:17:23.080
<v Speaker 2>That could help.

0:17:22.920 --> 0:17:26.320
<v Speaker 3>Differentiate SyRI in the crowded chatbots space. For more, Bloomberg

0:17:26.359 --> 0:17:28.760
<v Speaker 3>Apple and Consumer Tech Managing editor Mark gum And brings

0:17:28.800 --> 0:17:30.840
<v Speaker 3>us what is always the bread and butter you bring

0:17:30.880 --> 0:17:34.080
<v Speaker 3>us to scoops and push us towards For many reasons,

0:17:34.119 --> 0:17:36.920
<v Speaker 3>Apple wants to lean in on its privacy advantages. That

0:17:36.960 --> 0:17:39.200
<v Speaker 3>what is going to make it distinct versus the other

0:17:39.240 --> 0:17:40.280
<v Speaker 3>offerings already out there.

0:17:41.119 --> 0:17:44.679
<v Speaker 13>Yeah, for Apple, privacy has been a differentiator now for

0:17:44.880 --> 0:17:48.520
<v Speaker 13>going over a decade. They talk about privacy when they

0:17:48.560 --> 0:17:51.399
<v Speaker 13>release any new product, or any new operating system or

0:17:51.400 --> 0:17:55.679
<v Speaker 13>any new software service feature. For them, it's, you know,

0:17:55.880 --> 0:17:58.159
<v Speaker 13>their north star that they like to say, everything is

0:17:58.160 --> 0:18:00.200
<v Speaker 13>built in from that perspective, and they release see it

0:18:00.280 --> 0:18:02.600
<v Speaker 13>is a selling point that people want devices that have

0:18:02.640 --> 0:18:06.720
<v Speaker 13>better encryption, better security, better privacy than the competition. And

0:18:06.760 --> 0:18:09.480
<v Speaker 13>obviously this is really important for everything you're doing on

0:18:09.520 --> 0:18:13.400
<v Speaker 13>Apple devices. You have your financial data on there, your communications,

0:18:14.080 --> 0:18:17.800
<v Speaker 13>you have your smart home information, all sorts of different features.

0:18:17.840 --> 0:18:20.440
<v Speaker 13>You want the key private and that's going to extend

0:18:20.680 --> 0:18:22.920
<v Speaker 13>to the new SERI. We're in an age right now

0:18:22.960 --> 0:18:26.280
<v Speaker 13>where everyone's got a chatbot, everyone's got AI features, and

0:18:26.400 --> 0:18:29.920
<v Speaker 13>just like you've seen Apple do with features and comparing

0:18:29.960 --> 0:18:33.280
<v Speaker 13>themselves to Meta and Google and whatnot. You'll see them

0:18:33.320 --> 0:18:35.480
<v Speaker 13>do that with this chatbot that they're going to announce

0:18:35.560 --> 0:18:39.280
<v Speaker 13>on June eighth and developer conference, talking about THEIRS retaining

0:18:39.359 --> 0:18:43.159
<v Speaker 13>less information and less so called memory than other chatbots.

0:18:43.200 --> 0:18:45.480
<v Speaker 13>And one feature that a report over the weekend that

0:18:45.520 --> 0:18:49.399
<v Speaker 13>they're planning for this is the auto deletion of chatbot conversation.

0:18:49.600 --> 0:18:52.000
<v Speaker 13>So you can set your chats just like you can

0:18:52.080 --> 0:18:54.840
<v Speaker 13>with the Messages app, to save in your phone and

0:18:54.880 --> 0:18:57.760
<v Speaker 13>your iCloud forever, or you can have them auto delete

0:18:57.880 --> 0:19:00.560
<v Speaker 13>after a year, or you can have them auto delete

0:19:00.920 --> 0:19:01.960
<v Speaker 13>after thirty days.

0:19:02.040 --> 0:19:03.719
<v Speaker 9>So that's going to be a bit of a unique feature.

0:19:04.320 --> 0:19:07.200
<v Speaker 13>Other chatbots have what they call on incognito mode, which

0:19:07.240 --> 0:19:10.160
<v Speaker 13>is basically, you know, private browsing mode and a web browser,

0:19:10.440 --> 0:19:13.440
<v Speaker 13>but private chatting in your chatbot.

0:19:13.920 --> 0:19:15.280
<v Speaker 9>But this is going to be a little different.

0:19:16.119 --> 0:19:18.880
<v Speaker 3>Talk us about just how technologically that makes it stand out.

0:19:19.280 --> 0:19:21.440
<v Speaker 3>If I have an auto delete for thirty days, what

0:19:21.480 --> 0:19:24.359
<v Speaker 3>does that actually mean to the memory that than me

0:19:24.720 --> 0:19:26.959
<v Speaker 3>having had that discussion with the chatbot and it being

0:19:27.080 --> 0:19:28.040
<v Speaker 3>useful going forward.

0:19:29.080 --> 0:19:30.360
<v Speaker 9>Yeah, Well, it's two separate things.

0:19:30.440 --> 0:19:30.520
<v Speaker 8>Right.

0:19:30.640 --> 0:19:33.800
<v Speaker 13>The auto delete of conversations means that that conversation, that

0:19:34.000 --> 0:19:38.199
<v Speaker 13>chat that's just gone forever. In terms of memory, right,

0:19:38.280 --> 0:19:41.359
<v Speaker 13>you have chatbots that keep your memory forever, keep your

0:19:41.400 --> 0:19:44.800
<v Speaker 13>memory for a finite amount of time. Apple is going

0:19:44.880 --> 0:19:48.560
<v Speaker 13>to retain memory a shorter amount of time than a

0:19:48.640 --> 0:19:51.480
<v Speaker 13>lot of the competition, which may make it useful in

0:19:51.560 --> 0:19:54.320
<v Speaker 13>the short term less useful in the long term. They're

0:19:54.440 --> 0:19:57.800
<v Speaker 13>using techniques. There's one technique they have called differential privacy

0:19:58.359 --> 0:20:00.359
<v Speaker 13>to be able to retain some memory but have it

0:20:00.440 --> 0:20:04.359
<v Speaker 13>glued exactly to the user, right, And when it's stored,

0:20:04.440 --> 0:20:06.640
<v Speaker 13>not glued towards the user, but you're able to stort

0:20:06.720 --> 0:20:09.720
<v Speaker 13>on device, so it's able to come back and tell

0:20:09.800 --> 0:20:12.320
<v Speaker 13>you what you've talked about or give you that context.

0:20:12.400 --> 0:20:14.880
<v Speaker 9>So I think it is going to work fairly well.

0:20:15.440 --> 0:20:17.760
<v Speaker 13>It is going to be fairly competitive, but Apple really

0:20:17.800 --> 0:20:19.720
<v Speaker 13>going to market it around privacy and security.

0:20:20.000 --> 0:20:22.720
<v Speaker 3>As always A muster read with power on Bloombo's Mark German,

0:20:22.880 --> 0:20:25.840
<v Speaker 3>Thank you very much. Indeed, let's talk about Miami International

0:20:25.920 --> 0:20:29.800
<v Speaker 3>Holdings or MIAX. It has seen tremendous growth since it

0:20:29.920 --> 0:20:33.200
<v Speaker 3>was founded over a decade ago, operating eight exchanges, cross options,

0:20:33.240 --> 0:20:36.960
<v Speaker 3>Secretaries and futures for disclosure purposes as part of a

0:20:37.000 --> 0:20:41.560
<v Speaker 3>collaboration with Bloomberg and MIAX have launch pad Futures and Options,

0:20:41.680 --> 0:20:44.440
<v Speaker 3>and Bloomberg has a dedicated studio on the exchange floor

0:20:44.560 --> 0:20:47.719
<v Speaker 3>where Bloomberg's Norah Melinda is joining us. Now, heart off

0:20:47.800 --> 0:20:50.840
<v Speaker 3>your interview with MIAX CEO Tom Nus Gallaghan. Talk to

0:20:50.960 --> 0:20:52.639
<v Speaker 3>us about what you've been discussing over there.

0:20:54.119 --> 0:20:57.160
<v Speaker 14>Well, Carolina, have the opportunity to chat with Tom Gallagher

0:20:57.200 --> 0:20:59.920
<v Speaker 14>earlier this morning. Of course, we're here celebrating the launch

0:21:00.000 --> 0:21:03.280
<v Speaker 14>the Bloomberg one hundred equity Index Futures. Now, this is

0:21:03.320 --> 0:21:06.040
<v Speaker 14>a product that the company is launching, hopefully geared at

0:21:06.160 --> 0:21:08.600
<v Speaker 14>retail traders. We've been seeing an emphasis on a lot

0:21:08.680 --> 0:21:11.800
<v Speaker 14>of companies, a lot of brokerages really being interested in

0:21:11.960 --> 0:21:16.240
<v Speaker 14>bringing in the retail participation. This company offering the opportunity

0:21:16.320 --> 0:21:19.679
<v Speaker 14>of commission free for retail traders as they are launching

0:21:19.760 --> 0:21:22.399
<v Speaker 14>this product, the first of a series of products to

0:21:22.600 --> 0:21:25.400
<v Speaker 14>also come. But what was really interesting from my conversation

0:21:25.600 --> 0:21:28.879
<v Speaker 14>earlier with Tom was the idea of Miami as the

0:21:28.960 --> 0:21:32.760
<v Speaker 14>Wall Street South. We've been seeing so many big business leaders,

0:21:33.080 --> 0:21:35.840
<v Speaker 14>Ken Griffin, a number of other names talking about the

0:21:35.960 --> 0:21:40.480
<v Speaker 14>tax environment being more favorable in states like Florida, southern states,

0:21:40.520 --> 0:21:44.080
<v Speaker 14>and so you're certainly seeing my EX really leveraging that

0:21:44.359 --> 0:21:47.959
<v Speaker 14>coming to Miami. They're headquarters, funnily enough, were actually in Princeton,

0:21:48.040 --> 0:21:50.840
<v Speaker 14>New Jersey, but the trading floor just behind me. So

0:21:51.000 --> 0:21:54.200
<v Speaker 14>a lot of activity here in some of these southern states,

0:21:54.240 --> 0:21:58.119
<v Speaker 14>and certainly my AX looking toward further growth and development here.

0:21:58.920 --> 0:21:59.440
<v Speaker 2>Fantastic.

0:22:00.320 --> 0:22:02.600
<v Speaker 3>Thanks for bringing us and insights from your conversation. We

0:22:02.680 --> 0:22:05.399
<v Speaker 3>appreciate it. Coming up, well, we've got plenty to be

0:22:05.440 --> 0:22:09.280
<v Speaker 3>discussing with a recursive CEO, Richard Soshia. It's an AI

0:22:09.400 --> 0:22:12.960
<v Speaker 3>company coming out of Stealth and already he's been running

0:22:13.400 --> 0:22:16.720
<v Speaker 3>you dot com as the CEO. He's already also got

0:22:16.880 --> 0:22:19.840
<v Speaker 3>AIX which is a venture fund, but now he's starting

0:22:19.960 --> 0:22:23.480
<v Speaker 3>yet a new company all around the issues of AI

0:22:23.640 --> 0:22:26.560
<v Speaker 3>and where we take large language model creation in the

0:22:26.640 --> 0:22:29.479
<v Speaker 3>lab and the frontier lab lab area. We're looking though

0:22:29.680 --> 0:22:32.160
<v Speaker 3>right now as AI not being the savior to these markets.

0:22:32.200 --> 0:22:34.080
<v Speaker 3>Now's that one hundred off by seven ten percent. Look,

0:22:34.080 --> 0:22:36.359
<v Speaker 3>it's a second straight day of losses. We've seen the

0:22:36.400 --> 0:22:38.880
<v Speaker 3>semiconductor index as well, off by two point four percent.

0:22:38.960 --> 0:22:40.960
<v Speaker 3>That brings its losses in the last couple of days

0:22:41.200 --> 0:22:44.240
<v Speaker 3>to more than six percent. Of course, got a lot

0:22:44.280 --> 0:22:46.399
<v Speaker 3>of the eyes on a video for later this week Wednesday,

0:22:46.400 --> 0:22:48.080
<v Speaker 3>after the bell we get their numbers. We're off five

0:22:48.080 --> 0:22:50.600
<v Speaker 3>percentage point for the world's most valuable company. This is

0:22:50.640 --> 0:23:00.240
<v Speaker 3>Bloomberg Tech. Welcome back to Bloomberg Tech. We got a

0:23:00.280 --> 0:23:02.600
<v Speaker 3>little bit of risk aversion creeping into the market, and

0:23:02.720 --> 0:23:06.600
<v Speaker 3>it's largely geopolitically focused. We're worried once again about the

0:23:06.680 --> 0:23:09.320
<v Speaker 3>conflict to US Iran, and we're seeing all prices on

0:23:09.359 --> 0:23:11.560
<v Speaker 3>the rise. That is seeing yet a second day of pullback,

0:23:11.760 --> 0:23:13.679
<v Speaker 3>particularly on an ADSDAK one hundred or off by eight

0:23:13.840 --> 0:23:15.960
<v Speaker 3>nine ten percent, let's call it. We're seeing the chip

0:23:16.000 --> 0:23:18.080
<v Speaker 3>stocks under pressure and a particular Micron and the like

0:23:18.160 --> 0:23:20.920
<v Speaker 3>really dragging in points perspective. But I'm also looking what's

0:23:20.920 --> 0:23:24.320
<v Speaker 3>happening in Crippo. Look risk assets in general taking a

0:23:24.359 --> 0:23:26.840
<v Speaker 3>bit of a hammering. We're seeing down two point eight percent,

0:23:26.920 --> 0:23:29.720
<v Speaker 3>but we're sub seventy seven thousand now it's seventy six

0:23:29.760 --> 0:23:32.119
<v Speaker 3>thousand for bitcoin, and there's been about seventy million in

0:23:32.240 --> 0:23:35.400
<v Speaker 3>terms of the actual bearish bets coming back into the market,

0:23:35.440 --> 0:23:38.080
<v Speaker 3>bullish bets are being taken off. We've seen seven hundred

0:23:38.119 --> 0:23:40.359
<v Speaker 3>million dollars worth of those bullish bets being taken off

0:23:40.400 --> 0:23:42.760
<v Speaker 3>in the last twenty four hours alone, according to coin Glass.

0:23:43.119 --> 0:23:45.640
<v Speaker 3>So just keep an eye on risk sentiment. But look,

0:23:45.680 --> 0:23:48.760
<v Speaker 3>if we look across the Asia, not always bearish. I'm

0:23:48.800 --> 0:23:51.480
<v Speaker 3>looking at Samsung shares in South Korea up nearly we

0:23:51.600 --> 0:23:54.639
<v Speaker 3>call it three percent. Investors were actually encouraged by signs

0:23:54.640 --> 0:23:57.640
<v Speaker 3>at the company's union it's open to some negotiations, while

0:23:57.640 --> 0:24:01.440
<v Speaker 3>at local court moved to limit the threat of strike remotes.

0:24:01.480 --> 0:24:04.439
<v Speaker 3>Global Tech editor Peter Elstrom joins and just remind us

0:24:04.480 --> 0:24:07.640
<v Speaker 3>of the context here. This is Samsung that has done

0:24:07.720 --> 0:24:10.480
<v Speaker 3>phenomenally well in terms of share price, in terms of profitability,

0:24:10.880 --> 0:24:13.280
<v Speaker 3>and now labor wants to see some upside from it.

0:24:15.040 --> 0:24:18.520
<v Speaker 15>Yeah, these are very tense times in South Korea, make

0:24:18.600 --> 0:24:22.240
<v Speaker 15>no mistake about it. Samsung is squaring off against its union.

0:24:22.560 --> 0:24:24.399
<v Speaker 15>The union has said it may go on strike as

0:24:24.440 --> 0:24:27.240
<v Speaker 15>soon as Thursday for eighteen days. That's a big deal

0:24:27.320 --> 0:24:29.000
<v Speaker 15>for the company because, as you say, they're in the

0:24:29.040 --> 0:24:31.439
<v Speaker 15>middle of this boom and memory chip prices, which has

0:24:31.480 --> 0:24:33.639
<v Speaker 15>been great for their profits. They made a ton of

0:24:33.680 --> 0:24:36.560
<v Speaker 15>money because of that. The whole AI industry needs more

0:24:36.600 --> 0:24:38.800
<v Speaker 15>of the memory, both from Samsung and from s K

0:24:38.960 --> 0:24:42.320
<v Speaker 15>Heinez at this point, but this labor disruption threatens to

0:24:42.400 --> 0:24:44.760
<v Speaker 15>throw a wrench into that whole dynamic. And just to

0:24:44.840 --> 0:24:47.760
<v Speaker 15>set the scene, it is quite unusual for Samsung to

0:24:47.840 --> 0:24:50.479
<v Speaker 15>have this kind of conflict with their union. For decades,

0:24:50.560 --> 0:24:52.720
<v Speaker 15>they never had any conflict at all, and then just

0:24:52.760 --> 0:24:54.560
<v Speaker 15>a couple of years ago they had a small strike,

0:24:54.600 --> 0:24:57.000
<v Speaker 15>but it wasn't that serious. So this is unusual for

0:24:57.119 --> 0:24:59.320
<v Speaker 15>them to come this far. As you say, they've agreed

0:24:59.359 --> 0:25:01.840
<v Speaker 15>to go back to the table after setting this possible

0:25:01.920 --> 0:25:04.480
<v Speaker 15>strike date. They are talking again, but they haven't reached

0:25:04.520 --> 0:25:06.879
<v Speaker 15>a resolution yet. The court took a little bit of

0:25:06.960 --> 0:25:09.520
<v Speaker 15>the damage, the potential damage off the table by saying

0:25:09.720 --> 0:25:12.040
<v Speaker 15>there are some limitations about what the union can do

0:25:12.160 --> 0:25:14.359
<v Speaker 15>at this point, but there's still this possibility of a

0:25:14.440 --> 0:25:17.159
<v Speaker 15>strike coming up later on this week, which would affect

0:25:17.200 --> 0:25:20.080
<v Speaker 15>not just Samsung and the South Korean companies, but the

0:25:20.119 --> 0:25:21.359
<v Speaker 15>AI industry more broadly.

0:25:21.560 --> 0:25:24.240
<v Speaker 3>Yeah, everyone waiting with bated breath as we worry about

0:25:24.359 --> 0:25:27.440
<v Speaker 3>memory prices yet further if there's less of supply. But

0:25:27.520 --> 0:25:30.000
<v Speaker 3>Peter I mean, it was just last week that we

0:25:30.160 --> 0:25:34.080
<v Speaker 3>saw the South Korean market lose billions, hundreds of billions

0:25:34.119 --> 0:25:37.200
<v Speaker 3>of dollars in just ninety minutes, as people wondered how

0:25:37.840 --> 0:25:41.119
<v Speaker 3>politically speaking, we might see AI profits be shared with

0:25:41.200 --> 0:25:44.120
<v Speaker 3>a nation writ large. We've always seen s k Heinez

0:25:44.160 --> 0:25:46.000
<v Speaker 3>have to offer more of its profits to its workers.

0:25:46.320 --> 0:25:48.680
<v Speaker 3>Just remind us of the tensions there and if they'll

0:25:49.119 --> 0:25:50.240
<v Speaker 3>also spill out globally.

0:25:51.200 --> 0:25:54.560
<v Speaker 15>Yeah, the Korean society right now is having this debate

0:25:54.720 --> 0:25:56.679
<v Speaker 15>about what are you going to do with these enormous

0:25:56.760 --> 0:25:59.440
<v Speaker 15>profits coming out of AI? And also the government is

0:25:59.480 --> 0:26:02.800
<v Speaker 15>beginning to ask this very important question, how should governments

0:26:02.880 --> 0:26:05.560
<v Speaker 15>prepare for this world that's coming at us with AI,

0:26:05.680 --> 0:26:08.199
<v Speaker 15>with all these AI improvements, where perhaps you're not going

0:26:08.240 --> 0:26:09.800
<v Speaker 15>to have the same kind of jobs that you had

0:26:09.880 --> 0:26:12.800
<v Speaker 15>in the past. So, as you're referring to, one of

0:26:12.840 --> 0:26:16.000
<v Speaker 15>the policy advisors to the president posted something on his

0:26:16.080 --> 0:26:18.399
<v Speaker 15>Facebook page where he talked about the possibility of a

0:26:18.480 --> 0:26:21.520
<v Speaker 15>citizen dividend where they would take some of the profits

0:26:21.600 --> 0:26:24.560
<v Speaker 15>from these big companies and use those to establish a

0:26:24.680 --> 0:26:28.440
<v Speaker 15>more stable foundation for the society that could involve retraining.

0:26:28.560 --> 0:26:31.360
<v Speaker 15>He said it could involve support for people who want

0:26:31.400 --> 0:26:33.920
<v Speaker 15>to startup companies. It could involve a number of different things,

0:26:34.119 --> 0:26:36.240
<v Speaker 15>but his goal was really to kick off this conversation

0:26:36.400 --> 0:26:38.439
<v Speaker 15>and try to ask the question, how do we as

0:26:38.480 --> 0:26:41.480
<v Speaker 15>a government proactively start to think about these big issues

0:26:41.840 --> 0:26:44.240
<v Speaker 15>and if we're going to get this windfall of profits

0:26:44.280 --> 0:26:46.520
<v Speaker 15>because these companies are making so much money, how do

0:26:46.600 --> 0:26:48.960
<v Speaker 15>we use that cash to the best advantage for what's

0:26:48.960 --> 0:26:49.480
<v Speaker 15>ahead of us?

0:26:49.840 --> 0:26:53.280
<v Speaker 3>Thinks Peter Elstrom. Fascinating what's happening in Asia. We appreciate it.

0:26:54.040 --> 0:26:56.480
<v Speaker 3>Let's look at what's happening with Google's leadership in AI

0:26:56.680 --> 0:27:00.520
<v Speaker 3>right now has made computing power a really prized resources

0:27:00.600 --> 0:27:04.080
<v Speaker 3>inside the company, with priority increasingly going two major projects

0:27:04.320 --> 0:27:06.080
<v Speaker 3>like Gemini and paying customers.

0:27:06.400 --> 0:27:09.520
<v Speaker 2>The bottleneck. It's frustrated to some employees, prompting a number of.

0:27:09.520 --> 0:27:13.560
<v Speaker 3>AI researchers to leave for startups for Morell bloombergs Julia Love,

0:27:13.760 --> 0:27:16.840
<v Speaker 3>who covers Alphabet joins us now and Julia they're going

0:27:16.960 --> 0:27:19.720
<v Speaker 3>and founding their own companies because they can't get what

0:27:19.800 --> 0:27:23.600
<v Speaker 3>they want done internally at Google. How how much of

0:27:23.640 --> 0:27:26.159
<v Speaker 3>a change is that to be struggling to get access

0:27:26.200 --> 0:27:26.720
<v Speaker 3>to computing?

0:27:28.400 --> 0:27:30.560
<v Speaker 6>Yes, so I think it's a you know, just a

0:27:30.640 --> 0:27:33.920
<v Speaker 6>fact of the AI industry that researchers would always like

0:27:34.080 --> 0:27:37.600
<v Speaker 6>more compute, but the shortage has just become more acute

0:27:37.720 --> 0:27:40.760
<v Speaker 6>in this day and age because large language models require

0:27:40.880 --> 0:27:45.800
<v Speaker 6>such vast amounts of computing power. And so traditionally AI

0:27:45.920 --> 0:27:49.359
<v Speaker 6>research at Goodle, especially in Goodle Brain and one of

0:27:49.440 --> 0:27:52.600
<v Speaker 6>the labs, was very idalitarian and researchers not a certain

0:27:52.640 --> 0:27:55.480
<v Speaker 6>amount of computing power and they could team up to

0:27:55.600 --> 0:27:59.560
<v Speaker 6>try to do bigger projects. But now that fool still exists,

0:28:00.040 --> 0:28:06.159
<v Speaker 6>but it contracts in times of high demand, and researchers

0:28:06.320 --> 0:28:11.000
<v Speaker 6>just often can't get meaningful research done with their allotations.

0:28:11.440 --> 0:28:14.080
<v Speaker 6>And so if their work isn't a priority at Google,

0:28:14.760 --> 0:28:17.560
<v Speaker 6>that is the only you know, avenue they can pursue,

0:28:17.680 --> 0:28:20.359
<v Speaker 6>whereas in a startup they have more doors to knock on.

0:28:21.440 --> 0:28:24.159
<v Speaker 3>I mean, let's just talk about Andrew Dye, who've focused

0:28:24.200 --> 0:28:27.080
<v Speaker 3>on in this particular story. You've also focused on a

0:28:27.200 --> 0:28:30.080
<v Speaker 3>female founded company that's gone on to get VC backing

0:28:30.320 --> 0:28:32.720
<v Speaker 3>when they articulated.

0:28:32.160 --> 0:28:33.639
<v Speaker 2>To you what it used to be like what it

0:28:33.760 --> 0:28:35.640
<v Speaker 2>is now in terms of building businesses.

0:28:35.920 --> 0:28:39.240
<v Speaker 3>But is it because Alphabet is too busy selling out

0:28:39.400 --> 0:28:42.280
<v Speaker 3>its compute to its cloud customers or what is it

0:28:42.400 --> 0:28:44.080
<v Speaker 3>that's making it so much more of a tussle.

0:28:45.120 --> 0:28:47.520
<v Speaker 6>Yes, I think there's a few things happening at once.

0:28:48.280 --> 0:28:52.240
<v Speaker 6>One is that generative AI has made you know, Goodle's

0:28:52.280 --> 0:28:55.680
<v Speaker 6>consumer products so popular, and Goodle needs a lot of

0:28:55.800 --> 0:28:59.080
<v Speaker 6>computing power to serve those. And then the cloud business

0:28:59.560 --> 0:29:02.719
<v Speaker 6>is to peking off, so Brutal wants to meet that demand.

0:29:03.040 --> 0:29:03.560
<v Speaker 2>And then at the.

0:29:03.560 --> 0:29:07.440
<v Speaker 6>Same time, AI research is more computing and intensive than

0:29:07.480 --> 0:29:11.160
<v Speaker 6>it once was, and so researchers need more compute to

0:29:11.280 --> 0:29:14.479
<v Speaker 6>do a cutting edge experiment. And so there's a lot

0:29:14.520 --> 0:29:18.360
<v Speaker 6>of mouths to feed. Everyone wants more. And if people

0:29:18.560 --> 0:29:27.840
<v Speaker 6>run up against roadblocks at Google, that, oh.

0:29:27.280 --> 0:29:28.120
<v Speaker 2>What a tech issue.

0:29:29.280 --> 0:29:32.080
<v Speaker 3>On the Tech Show, Dan, we'll get back to Julia

0:29:32.160 --> 0:29:34.800
<v Speaker 3>Love when we can, but we appreciate her insights there. Meanwhile,

0:29:34.880 --> 0:29:37.280
<v Speaker 3>let's talk about where else computer is being used and

0:29:37.400 --> 0:29:40.880
<v Speaker 3>what we're seeing in the Frontier labs. Because Recursive is

0:29:40.920 --> 0:29:44.120
<v Speaker 3>a startup creating AI that conducts experiments on how to

0:29:44.240 --> 0:29:45.600
<v Speaker 3>safely improve.

0:29:45.320 --> 0:29:47.960
<v Speaker 2>Itself and it just came out of stealth. The company is.

0:29:47.960 --> 0:29:50.200
<v Speaker 3>Valued at four point six five billion dollars. Back is

0:29:50.240 --> 0:29:54.920
<v Speaker 3>including Greycroft Video, AMD Ventures and more. CEO Richard Susha

0:29:55.200 --> 0:29:58.360
<v Speaker 3>joins us now for more. Many will recognize you because Richard,

0:29:58.400 --> 0:30:01.280
<v Speaker 3>you've joined on another company that you're also leading, you

0:30:01.400 --> 0:30:03.800
<v Speaker 3>dot Com. You also happen to be busy in venture capital.

0:30:03.880 --> 0:30:06.160
<v Speaker 3>So talk to us about Recursive. What is it that

0:30:06.160 --> 0:30:07.600
<v Speaker 3>you felt needed to be fixed?

0:30:09.000 --> 0:30:13.920
<v Speaker 10>So we want to build recursive self improving superintelligence that

0:30:14.120 --> 0:30:18.600
<v Speaker 10>automates knowledge discovery. You know, AI now is code and

0:30:18.880 --> 0:30:22.560
<v Speaker 10>can code, and so you can have a closed loop

0:30:22.800 --> 0:30:27.840
<v Speaker 10>where you replace human ingenuity and trying to come up

0:30:27.880 --> 0:30:32.080
<v Speaker 10>with ideas, implement those ideas, and validate those ideas, and

0:30:32.160 --> 0:30:34.520
<v Speaker 10>you can actually allow AI to do that on itself.

0:30:35.200 --> 0:30:37.240
<v Speaker 3>The reason you're able to enter out of stealth with

0:30:37.320 --> 0:30:40.440
<v Speaker 3>a four billion dollar market capitalization is because you're a

0:30:40.480 --> 0:30:44.360
<v Speaker 3>pretty well known famed AI researcher, Richard. But there are

0:30:44.480 --> 0:30:46.920
<v Speaker 3>many well, shall we say, there are many very ambitious

0:30:47.000 --> 0:30:49.640
<v Speaker 3>labs out there who also want to reach superintelligence.

0:30:49.720 --> 0:30:50.800
<v Speaker 2>Why aren't they doing it right?

0:30:50.840 --> 0:30:53.080
<v Speaker 3>What is it that you feel Recursive is going to

0:30:53.160 --> 0:30:56.520
<v Speaker 3>gain the edge or rather than helping another lab already

0:30:56.640 --> 0:30:57.240
<v Speaker 3>do what they're doing.

0:30:58.680 --> 0:31:03.200
<v Speaker 10>Yeah, we're we collected a combined an incredible team of

0:31:03.320 --> 0:31:09.160
<v Speaker 10>co founders, folks from Google DeepMind, from open AIE from

0:31:09.240 --> 0:31:14.120
<v Speaker 10>Salesforce Research and many other incredible labs Meta and so on.

0:31:14.880 --> 0:31:17.960
<v Speaker 10>We are focused on open endedness and really have the

0:31:18.240 --> 0:31:22.200
<v Speaker 10>entire company try to allow AI to build the next

0:31:22.320 --> 0:31:25.200
<v Speaker 10>better version of AI. And whenever in AI research we

0:31:25.360 --> 0:31:31.040
<v Speaker 10>replace manual systems with learned systems, we see a massive improvement.

0:31:31.120 --> 0:31:33.280
<v Speaker 10>And then on top of that, we can sit now

0:31:33.480 --> 0:31:37.080
<v Speaker 10>on top of this whole new infrastructure where we built

0:31:37.080 --> 0:31:40.640
<v Speaker 10>a company from the ground up by empowering AI to

0:31:40.760 --> 0:31:43.760
<v Speaker 10>do its own experimentation, whereas most of the other labs

0:31:43.800 --> 0:31:47.240
<v Speaker 10>in the past basically started before that was possible.

0:31:47.800 --> 0:31:50.880
<v Speaker 3>Okay, so you've got this focus from the very birth

0:31:50.920 --> 0:31:53.200
<v Speaker 3>of the business, but you also need a lawful lot

0:31:53.240 --> 0:31:55.480
<v Speaker 3>of money, as we can see there raising for Compute to.

0:31:55.520 --> 0:31:57.840
<v Speaker 2>Take on some of the juggernauts. How much is it

0:31:58.280 --> 0:31:59.240
<v Speaker 2>a costly business?

0:31:59.320 --> 0:32:02.920
<v Speaker 3>How are you thinking of reframing the demand for GPUs

0:32:02.960 --> 0:32:03.320
<v Speaker 3>and the like.

0:32:04.840 --> 0:32:05.800
<v Speaker 4>You're absolutely right.

0:32:05.960 --> 0:32:09.120
<v Speaker 10>A big new scaling law we're trying to prove is

0:32:09.200 --> 0:32:13.760
<v Speaker 10>that the more compute results in more inventions, more improvements,

0:32:13.880 --> 0:32:17.160
<v Speaker 10>and so compute is one of the largest costs for us,

0:32:17.240 --> 0:32:19.880
<v Speaker 10>and that's where we're really excited to have the folks

0:32:20.240 --> 0:32:22.720
<v Speaker 10>like Nvidia and AMD be part of this round.

0:32:23.680 --> 0:32:26.800
<v Speaker 3>Just the open ended nature of driving in endless innovation.

0:32:26.880 --> 0:32:28.479
<v Speaker 3>You say you want to do that safely. What are

0:32:28.480 --> 0:32:30.640
<v Speaker 3>the worries and the limits of it not being done safely?

0:32:31.920 --> 0:32:34.400
<v Speaker 4>You're absolutely right. Safety is a huge concern.

0:32:34.520 --> 0:32:36.760
<v Speaker 10>That's why we have some of our co funders who've

0:32:36.800 --> 0:32:40.760
<v Speaker 10>done research in rainbow teaming, for instance, where I improve

0:32:40.880 --> 0:32:43.800
<v Speaker 10>the safety of large language models like Tim rock Teeschel

0:32:44.280 --> 0:32:49.280
<v Speaker 10>and his collaborators worked on. We think we take safety

0:32:49.400 --> 0:32:53.680
<v Speaker 10>very seriously and we believe though that this is the

0:32:53.960 --> 0:32:57.840
<v Speaker 10>best and fastest way to superintelligence, which will then allow

0:32:57.920 --> 0:33:01.720
<v Speaker 10>humanity to flourish much much more by inventing building ultimately

0:33:01.760 --> 0:33:05.880
<v Speaker 10>a Eureka machine, one that allows us to invent everything

0:33:05.920 --> 0:33:06.920
<v Speaker 10>else thereafter.

0:33:07.920 --> 0:33:10.160
<v Speaker 2>How are you going to divide your time? Richard?

0:33:10.400 --> 0:33:14.240
<v Speaker 3>Your CEO of you dot com, and you're also at AIX,

0:33:14.680 --> 0:33:16.800
<v Speaker 3>the venture firm that's just lost its co founder.

0:33:16.920 --> 0:33:18.600
<v Speaker 2>So how do you divv this all up?

0:33:20.080 --> 0:33:24.320
<v Speaker 10>I work all the time and have incredible teams around

0:33:24.360 --> 0:33:29.000
<v Speaker 10>me that enable this of AI agents, also AI agents, yeah,

0:33:29.000 --> 0:33:30.840
<v Speaker 10>but also some really incredible humans.

0:33:31.080 --> 0:33:33.840
<v Speaker 3>Okay, incredible humans cost a lot of money, so were

0:33:33.840 --> 0:33:39.840
<v Speaker 3>they incentivized by equity, by the sheer ambition of the task,

0:33:40.240 --> 0:33:41.680
<v Speaker 3>or how are you going to be hiring yet further

0:33:41.760 --> 0:33:45.600
<v Speaker 3>talent because they're also getting to a significant expense line

0:33:45.960 --> 0:33:46.960
<v Speaker 3>compared to GPUs.

0:33:48.040 --> 0:33:51.760
<v Speaker 10>That's absolutely right. Yeah, I think as a founder these days,

0:33:51.840 --> 0:33:55.320
<v Speaker 10>you want to think more about the overall potential of

0:33:55.360 --> 0:33:58.520
<v Speaker 10>the pie rather than your slice an amount of pie

0:33:58.600 --> 0:34:01.320
<v Speaker 10>that you have as a And we do share equity

0:34:01.480 --> 0:34:05.440
<v Speaker 10>with our employees and everyone, and I think that encourages

0:34:05.520 --> 0:34:08.759
<v Speaker 10>and excites everyone. I think in general, the more you

0:34:08.880 --> 0:34:11.480
<v Speaker 10>have ownership of what you're creating in this AI world,

0:34:11.560 --> 0:34:13.279
<v Speaker 10>the more you love AI, because then you just care

0:34:13.280 --> 0:34:16.239
<v Speaker 10>about the outputs. And so I think it's important to

0:34:16.360 --> 0:34:19.680
<v Speaker 10>share that equity and ultimately grow something amazing together.

0:34:20.120 --> 0:34:21.000
<v Speaker 2>Which is so sure.

0:34:21.040 --> 0:34:23.120
<v Speaker 3>Great to have some time with you, CEO, co founder

0:34:23.200 --> 0:34:26.560
<v Speaker 3>of Recursive, We appreciate your time today. Coming up, we're

0:34:26.600 --> 0:34:28.680
<v Speaker 3>going to go back to Las Vegas is Dell World

0:34:29.320 --> 0:34:31.600
<v Speaker 3>and we're speaking with Daniel Roberts from the AI cloud

0:34:31.680 --> 0:34:32.480
<v Speaker 3>provider Iron.

0:34:32.600 --> 0:34:33.040
<v Speaker 2>That's next.

0:34:33.160 --> 0:34:45.920
<v Speaker 3>That's a pretty big tech Let's get back over to

0:34:46.120 --> 0:34:48.520
<v Speaker 3>Las Vegas. Our own ed Ludlow is standing by with

0:34:48.640 --> 0:34:49.799
<v Speaker 3>Dell Technologies World.

0:34:49.840 --> 0:34:55.200
<v Speaker 4>Event upon you ed, Yeah, we've got a really great

0:34:55.280 --> 0:34:55.840
<v Speaker 4>case study.

0:34:55.960 --> 0:34:59.080
<v Speaker 5>Iron is an AI cloud that is building infrastructure all

0:34:59.120 --> 0:35:01.440
<v Speaker 5>over the world, not just the United States and all

0:35:01.480 --> 0:35:02.359
<v Speaker 5>these geographies.

0:35:02.920 --> 0:35:05.600
<v Speaker 4>Dell is its key server partner.

0:35:05.360 --> 0:35:08.239
<v Speaker 5>Right it wants the Nvidia GPUs. Couldn't think of a

0:35:08.320 --> 0:35:10.560
<v Speaker 5>better conversation to have to kind of kick off the day.

0:35:10.640 --> 0:35:13.640
<v Speaker 5>Dan Roberts, co founder co CEO, you've been busy guy

0:35:14.360 --> 0:35:17.360
<v Speaker 5>as well on the M and A side. You've acquired

0:35:17.719 --> 0:35:22.920
<v Speaker 5>a marketing or creative agency. I mean basically why. But

0:35:23.239 --> 0:35:25.279
<v Speaker 5>there's also this conversation Caroline and I have it all

0:35:25.320 --> 0:35:29.080
<v Speaker 5>the time about the public's perception of what's really happening

0:35:29.120 --> 0:35:30.799
<v Speaker 5>with data center and how it impacts them.

0:35:31.480 --> 0:35:31.719
<v Speaker 13>Yeah.

0:35:31.800 --> 0:35:36.000
<v Speaker 16>Look, brand awareness, we're going global, We're growing our customer base.

0:35:36.120 --> 0:35:38.399
<v Speaker 16>It's really important to us. But that's a small point

0:35:38.480 --> 0:35:40.960
<v Speaker 16>of the grand scheme of things. It's all about power

0:35:41.160 --> 0:35:43.960
<v Speaker 16>and time to compute, and the issue is you can't

0:35:44.280 --> 0:35:48.160
<v Speaker 16>employment a software update to bring on power. The tech

0:35:48.200 --> 0:35:51.040
<v Speaker 16>industry is very brilliant at going really fast, but you

0:35:51.160 --> 0:35:54.200
<v Speaker 16>can't code your way to an AI gig awad of compute.

0:35:54.280 --> 0:35:55.239
<v Speaker 4>And that's what we're focused on.

0:35:55.440 --> 0:35:58.360
<v Speaker 5>In the United States, at least there is some some

0:35:58.480 --> 0:36:01.720
<v Speaker 5>sort of public backlash in zip codes where data center's

0:36:01.719 --> 0:36:05.320
<v Speaker 5>getting built, the public feels the pressure of higher energy process.

0:36:05.640 --> 0:36:08.200
<v Speaker 5>What's that like for iron and what are you confronting

0:36:08.280 --> 0:36:09.360
<v Speaker 5>in that respect?

0:36:09.520 --> 0:36:11.560
<v Speaker 16>Yeah, eight years ago when we started this business, we

0:36:11.600 --> 0:36:14.840
<v Speaker 16>had a differentiated strategy. We never went to metropolitan areas.

0:36:15.040 --> 0:36:17.960
<v Speaker 16>We went to regional communities where there was an abundance

0:36:18.000 --> 0:36:22.120
<v Speaker 16>of renewable energy that creates a cost structural advantage over time.

0:36:22.600 --> 0:36:27.120
<v Speaker 16>And we've reinvigorated local communities across British Columbia, Canada, Texas.

0:36:27.719 --> 0:36:30.600
<v Speaker 16>And it's an advantage for us because we are located

0:36:30.680 --> 0:36:31.680
<v Speaker 16>where people want us.

0:36:31.640 --> 0:36:32.160
<v Speaker 4>To do business.

0:36:32.400 --> 0:36:35.000
<v Speaker 5>Dan, I think I'm saying, just as with everyone else,

0:36:35.360 --> 0:36:38.800
<v Speaker 5>you're in a position where demand for compute, your compute

0:36:39.360 --> 0:36:43.080
<v Speaker 5>is vastly outpacing your ability to supply it. What is

0:36:43.120 --> 0:36:47.760
<v Speaker 5>the biggest barrier to you getting more capacity online, getting

0:36:47.800 --> 0:36:48.520
<v Speaker 5>more stuff built?

0:36:49.000 --> 0:36:51.000
<v Speaker 4>Absolutely? I mean we're still in the dial up era

0:36:51.320 --> 0:36:51.759
<v Speaker 4>of AI.

0:36:52.000 --> 0:36:54.239
<v Speaker 16>When you step back the amount of friction you've got

0:36:54.440 --> 0:36:56.520
<v Speaker 16>waded in for prompts, You've got to craft your prompt

0:36:56.920 --> 0:37:00.640
<v Speaker 16>really carefully. Complex prompts take fifteen to forty seconds to

0:37:00.680 --> 0:37:04.600
<v Speaker 16>actually spit out an adser as. That speeds up demand accelerates,

0:37:04.880 --> 0:37:07.560
<v Speaker 16>which drives more compute and more use cases. And for us,

0:37:07.600 --> 0:37:10.000
<v Speaker 16>it's been a focus on what is the end choke point,

0:37:10.360 --> 0:37:14.080
<v Speaker 16>and that's power, it's feel, it's concrete, it's actually building

0:37:14.160 --> 0:37:15.400
<v Speaker 16>the physical infrastructure.

0:37:15.440 --> 0:37:16.520
<v Speaker 4>That takes years and years.

0:37:16.800 --> 0:37:19.719
<v Speaker 16>If you wanted to start today and build a gigawat

0:37:19.840 --> 0:37:23.160
<v Speaker 16>ai factory, you are looking twenty thirties before you get

0:37:23.200 --> 0:37:24.080
<v Speaker 16>the first compute online.

0:37:24.360 --> 0:37:26.279
<v Speaker 5>Let's get a bit deeper on that. So if you

0:37:26.680 --> 0:37:29.040
<v Speaker 5>wanted to say, in other words, you choose a site,

0:37:29.640 --> 0:37:32.440
<v Speaker 5>you get permissions, You're not going to get it online

0:37:32.440 --> 0:37:34.000
<v Speaker 5>for six years, four years.

0:37:34.280 --> 0:37:36.520
<v Speaker 16>It'll take you eighteen to twenty four months to get

0:37:36.560 --> 0:37:38.799
<v Speaker 16>the attention of a utility to work out whether your

0:37:38.840 --> 0:37:40.719
<v Speaker 16>block of dirt even has power or not.

0:37:41.400 --> 0:37:43.800
<v Speaker 4>That's the starting point. How we're getting to it. What

0:37:43.960 --> 0:37:47.280
<v Speaker 4>are the utilities not doing that you need them to do? Oh, utilities,

0:37:47.320 --> 0:37:48.279
<v Speaker 4>they're doing the best they can.

0:37:48.480 --> 0:37:51.000
<v Speaker 16>Like they're running complex networks with a lot of generation

0:37:51.160 --> 0:37:53.000
<v Speaker 16>on one side, a lot of power demand on the

0:37:53.080 --> 0:37:54.800
<v Speaker 16>other and at the end of the day, when you

0:37:54.920 --> 0:37:57.920
<v Speaker 16>connect to them. This is why grid connected capacity is

0:37:58.040 --> 0:38:01.320
<v Speaker 16>so valuable. When you connect to them, they're underwriting twenty

0:38:01.400 --> 0:38:04.799
<v Speaker 16>four to seven guaranteed power, so they're naturally risk adverse and.

0:38:04.840 --> 0:38:07.680
<v Speaker 4>They're naturally dealing with in the inundation of requests.

0:38:07.680 --> 0:38:09.840
<v Speaker 5>At the moment, I'd love to go back to basis

0:38:09.880 --> 0:38:12.800
<v Speaker 5>for seconds. You build data centers, and those data centers

0:38:12.920 --> 0:38:17.040
<v Speaker 5>have servers inside them, and those servers are for AI workloads.

0:38:17.680 --> 0:38:20.200
<v Speaker 5>What's it like working with a Dell? What is it

0:38:20.320 --> 0:38:23.080
<v Speaker 5>that you rely on Dell four? And how do you

0:38:23.160 --> 0:38:24.719
<v Speaker 5>get hold of in video GPUs?

0:38:24.920 --> 0:38:25.040
<v Speaker 6>Right?

0:38:25.200 --> 0:38:27.560
<v Speaker 5>There is this idea that you can just phone gents

0:38:27.600 --> 0:38:29.319
<v Speaker 5>and one and say hey, I need some of those,

0:38:29.560 --> 0:38:31.520
<v Speaker 5>but in practice it probably doesn't really work like that.

0:38:31.960 --> 0:38:32.160
<v Speaker 14>Yeah.

0:38:32.200 --> 0:38:35.160
<v Speaker 16>Look, we've got great relationship with both Dell and in Video.

0:38:35.200 --> 0:38:37.640
<v Speaker 16>We announced a partnership with n Video for five gigawats

0:38:37.680 --> 0:38:38.200
<v Speaker 16>of compute.

0:38:38.440 --> 0:38:40.040
<v Speaker 4>They're also asked Weed in an investment.

0:38:40.600 --> 0:38:44.040
<v Speaker 16>Yes, so they're exposed to upside in US as we

0:38:44.200 --> 0:38:46.960
<v Speaker 16>grow and deploy their GPUs, and we're working on their

0:38:47.120 --> 0:38:51.320
<v Speaker 16>reference architecture for a gigawat factory in Sweetwater. But the

0:38:51.360 --> 0:38:54.919
<v Speaker 16>opportunity with those partners is to work closely and build

0:38:55.000 --> 0:38:58.360
<v Speaker 16>up the whole ecosystem all the way from land Steel

0:38:58.480 --> 0:39:01.000
<v Speaker 16>concrete down to the end us of this compute.

0:39:01.239 --> 0:39:03.120
<v Speaker 5>Is there a geography somewhere in the world that is

0:39:03.200 --> 0:39:05.600
<v Speaker 5>a best place to build a data center right now?

0:39:06.000 --> 0:39:08.560
<v Speaker 16>Look, every geography is slightly different in terms of how

0:39:08.600 --> 0:39:12.360
<v Speaker 16>they handle things. But the majority of our capacities in Texas,

0:39:12.600 --> 0:39:14.200
<v Speaker 16>and they've been pretty good.

0:39:14.800 --> 0:39:17.399
<v Speaker 5>If you could ask mister Wog and mister Dell one

0:39:17.520 --> 0:39:20.880
<v Speaker 5>thing right now, or we ask something of them, what

0:39:20.960 --> 0:39:21.360
<v Speaker 5>would it be.

0:39:22.000 --> 0:39:24.319
<v Speaker 16>Oh, look, I think the whole industry is moving from.

0:39:24.480 --> 0:39:27.600
<v Speaker 16>If silicon is no longer the choke point, how do

0:39:27.680 --> 0:39:30.520
<v Speaker 16>we solve steel? How do we solve concrete? How do

0:39:30.600 --> 0:39:31.560
<v Speaker 16>we solve the killer watts?

0:39:32.920 --> 0:39:35.640
<v Speaker 5>And this president and this administration they have an answer

0:39:35.680 --> 0:39:35.840
<v Speaker 5>for that.

0:39:36.640 --> 0:39:39.640
<v Speaker 4>I think everyone's trying to work it out. It's been an.

0:39:39.560 --> 0:39:43.160
<v Speaker 5>Interesting evolution for your company right now. Public in the

0:39:43.280 --> 0:39:47.320
<v Speaker 5>United States, Sydney, Australia is your home. What's that like,

0:39:47.440 --> 0:39:50.200
<v Speaker 5>trying to work across borders at the moment and trying

0:39:50.280 --> 0:39:54.160
<v Speaker 5>to get projects done at the same time in different jurisdictions.

0:39:54.280 --> 0:39:56.760
<v Speaker 16>Oh, look, the reality is we've got projects in North America,

0:39:56.920 --> 0:40:00.200
<v Speaker 16>We've got projects in Europe, We've got projects in Australia. Yes,

0:40:00.280 --> 0:40:02.120
<v Speaker 16>my family is in Sydney and I get back for

0:40:02.160 --> 0:40:05.000
<v Speaker 16>the weekends. But you know when people ask where I leave,

0:40:05.040 --> 0:40:06.319
<v Speaker 16>plenty bulances on a plane.

0:40:07.040 --> 0:40:12.160
<v Speaker 5>Den Roberts, co founder co CEO of Iron really critical

0:40:12.239 --> 0:40:15.120
<v Speaker 5>AI cloud and like your previous guests, I think everyone's

0:40:15.160 --> 0:40:17.120
<v Speaker 5>just working all the time right now, character.

0:40:17.320 --> 0:40:20.239
<v Speaker 2>Largely on planes ahead. Thanks so much.

0:40:20.680 --> 0:40:23.120
<v Speaker 3>Look tune in later today as ed sits down with

0:40:23.360 --> 0:40:26.960
<v Speaker 3>the CEOs of Dell of Nvidia for an exclusive interview.

0:40:26.960 --> 0:40:27.879
<v Speaker 2>Live from der World.

0:40:28.080 --> 0:40:29.640
<v Speaker 3>You don't want to miss up to thirty pm Eastern

0:40:29.680 --> 0:40:31.239
<v Speaker 3>eleven thirtym Pacific.

0:40:31.320 --> 0:40:33.680
<v Speaker 2>Coming up new thirty F filings.

0:40:33.680 --> 0:40:36.160
<v Speaker 3>They're revealing how hedge funds are repositioning around big tech

0:40:36.239 --> 0:40:38.959
<v Speaker 3>and the AI trade. Will break down the BEGINUS moves next.

0:40:39.280 --> 0:40:40.320
<v Speaker 2>This is blue Beg Tech.

0:40:52.400 --> 0:40:56.120
<v Speaker 3>Fresh regulatory filings known as thirty F filings, giving investors

0:40:56.239 --> 0:40:58.560
<v Speaker 3>a close look at how hedge funds and major money

0:40:58.600 --> 0:41:01.680
<v Speaker 3>managers are positioning around tech and the AI trade. Joining

0:41:01.760 --> 0:41:03.439
<v Speaker 3>US now to break it all down. As Blomberg's Hemma

0:41:03.440 --> 0:41:07.160
<v Speaker 3>Palma is always so much happening each quarter at this time,

0:41:07.239 --> 0:41:10.120
<v Speaker 3>Hama passed through, for example, what's happening with Microsoft, because

0:41:10.120 --> 0:41:12.719
<v Speaker 3>certainly the bill Atman News quarter attention. Where else is

0:41:12.719 --> 0:41:13.840
<v Speaker 3>there been moves in that company?

0:41:14.000 --> 0:41:17.719
<v Speaker 17>Absolutely, Bill Ackman taking a pretty sizeable steak in Microsoft,

0:41:17.800 --> 0:41:20.439
<v Speaker 17>more than two billion dollars worth, making it his fourth

0:41:20.560 --> 0:41:23.360
<v Speaker 17>biggest holding. And this is a stock that fell a

0:41:23.440 --> 0:41:25.680
<v Speaker 17>great deal in the first quarter, So he may have

0:41:25.760 --> 0:41:28.880
<v Speaker 17>been buying up these shares that attractive prices, but he

0:41:29.000 --> 0:41:31.640
<v Speaker 17>believes that Microsoft is stronger and a lot more resilient

0:41:31.719 --> 0:41:35.799
<v Speaker 17>than investors are out there believing. He thinks Microsoft three

0:41:35.880 --> 0:41:39.040
<v Speaker 17>hundred and sixty five suite with Word and Excel or

0:41:39.360 --> 0:41:42.719
<v Speaker 17>two of the most valuable franchises in enterprise tech. So

0:41:43.200 --> 0:41:47.040
<v Speaker 17>really Bill a sentiment from Bill on Microsoft, but that's

0:41:47.080 --> 0:41:47.879
<v Speaker 17>not what everyone's thinking.

0:41:47.960 --> 0:41:49.399
<v Speaker 2>Yeah, is that at odds with some of the others

0:41:49.480 --> 0:41:50.360
<v Speaker 2>the Tiger cubs.

0:41:50.120 --> 0:41:52.279
<v Speaker 17>And that's absolutely So it's really interesting when you see

0:41:52.320 --> 0:41:56.680
<v Speaker 17>these divergences. So Tiger Global and Co. Two slash their

0:41:56.760 --> 0:41:58.759
<v Speaker 17>steak in Microsoft by more than half.

0:41:59.000 --> 0:42:01.160
<v Speaker 2>Wow, Loan Pine got out of it entirely.

0:42:01.719 --> 0:42:04.880
<v Speaker 17>So you see really different moves from these firms that

0:42:04.960 --> 0:42:08.120
<v Speaker 17>really do spend a lot of time investigating these companies. Now,

0:42:08.239 --> 0:42:11.640
<v Speaker 17>this stock fell twenty three percent in the first quarter.

0:42:12.040 --> 0:42:13.960
<v Speaker 17>It has rebounded some of that since.

0:42:14.719 --> 0:42:18.200
<v Speaker 3>What about just in general, whether Microsoft is the old

0:42:18.239 --> 0:42:21.279
<v Speaker 3>one out here in terms of everyone either taking one

0:42:22.080 --> 0:42:24.320
<v Speaker 3>one view or the other, or of the big moves

0:42:24.360 --> 0:42:25.080
<v Speaker 3>in other companies.

0:42:25.440 --> 0:42:26.640
<v Speaker 2>So we did see a.

0:42:26.680 --> 0:42:29.440
<v Speaker 17>Decent amount of selling in the first quarter from across

0:42:29.480 --> 0:42:31.319
<v Speaker 17>the Tiger cubs. We look at them because they tend

0:42:31.360 --> 0:42:34.240
<v Speaker 17>to focus on tech, they tend to be directional and intentional.

0:42:35.200 --> 0:42:38.680
<v Speaker 17>Keep in mind, the first quarter incredibly volatile. This March

0:42:38.800 --> 0:42:40.560
<v Speaker 17>was a wild month. A lot of funds lost a

0:42:40.600 --> 0:42:42.480
<v Speaker 17>lot of money. That could be why we saw some

0:42:42.640 --> 0:42:45.600
<v Speaker 17>firms trying to sell. We don't know when in the

0:42:45.719 --> 0:42:48.320
<v Speaker 17>quarter funds were selling, just because of the nature of

0:42:48.360 --> 0:42:49.000
<v Speaker 17>thirteen f's.

0:42:49.400 --> 0:42:50.680
<v Speaker 2>But we did see some other trends.

0:42:50.719 --> 0:42:54.600
<v Speaker 17>When we look at popular cells Amazon, this is a

0:42:54.680 --> 0:42:57.200
<v Speaker 17>stock that sunk about ten percent in the first quarter.

0:42:57.600 --> 0:43:01.319
<v Speaker 17>Tiger Global trimmed at stake so to cut Amazon by

0:43:01.480 --> 0:43:05.440
<v Speaker 17>about a fifth, and Loan Pine sold out of Amazon entirely.

0:43:05.520 --> 0:43:09.000
<v Speaker 17>Berkshire Hathaway also exited that company too, So you do

0:43:09.120 --> 0:43:12.040
<v Speaker 17>see some big moves in some of these localized companies.

0:43:12.120 --> 0:43:14.480
<v Speaker 3>For sure, I'm fascinating because some of them ever since

0:43:14.880 --> 0:43:17.479
<v Speaker 3>written up higher on the back of that exactly Hemma

0:43:17.560 --> 0:43:20.000
<v Speaker 3>Palmer always breaking it down for us. We so appreciate

0:43:20.320 --> 0:43:22.440
<v Speaker 3>all the moves from the regular refindings. Meanwhile, that does

0:43:22.520 --> 0:43:24.520
<v Speaker 3>it for this edition of Bloemberg Tech. Tune in later

0:43:24.600 --> 0:43:27.839
<v Speaker 3>today again, do not miss this exclusive interview. We can't

0:43:27.840 --> 0:43:30.160
<v Speaker 3>tell you about it enough CEOs of Dell of Nvidia.

0:43:30.560 --> 0:43:33.640
<v Speaker 3>They are live from Dell Worlds at to thirty pm

0:43:33.760 --> 0:43:36.560
<v Speaker 3>Eastern eleven thirty am. If you're over on the Pacific side,

0:43:36.840 --> 0:43:38.520
<v Speaker 3>don't forget to check out the podcast too. You can

0:43:38.560 --> 0:43:41.520
<v Speaker 3>find it on the terminal as well as online on Apple, Spotify.

0:43:41.239 --> 0:43:41.840
<v Speaker 2>And iHeart.

0:43:42.239 --> 0:43:44.880
<v Speaker 3>From New York and from Las Vegas today, this is

0:43:44.920 --> 0:43:45.560
<v Speaker 3>Blueberg Tech