WEBVTT - Google, Blackstone to Create AI Cloud Firm

0:00:02.520 --> 0:00:13.399
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

0:00:13.440 --> 0:00:17.239
<v Speaker 1>from coast to coast with Caroline Hide in New York

0:00:17.560 --> 0:00:19.520
<v Speaker 1>and ever Low in sentrancs go.

0:00:22.680 --> 0:00:25.480
<v Speaker 2>This is Bloomberg Tech coming up. Google agrees to create

0:00:25.520 --> 0:00:28.640
<v Speaker 2>an AI cloud business with Blackstone, which will run on

0:00:28.680 --> 0:00:30.520
<v Speaker 2>Google's homegrown AI chips.

0:00:30.600 --> 0:00:32.880
<v Speaker 3>Plus, the legal battle between Elon Musk and his Open

0:00:32.880 --> 0:00:36.120
<v Speaker 3>Ai co founders ends with a jewelry ruling Musk waited

0:00:36.200 --> 0:00:38.600
<v Speaker 3>too long to soon. We'll dive into the details of

0:00:38.640 --> 0:00:39.120
<v Speaker 3>the verdict.

0:00:39.920 --> 0:00:43.560
<v Speaker 2>A Meta Betts Big on Louisiana for the world's biggest

0:00:43.600 --> 0:00:48.080
<v Speaker 2>AI facility. This is It plans AI related layoffs this week.

0:00:48.720 --> 0:00:52.400
<v Speaker 3>AI related layoffs a theme for the market, but AI

0:00:53.159 --> 0:00:56.240
<v Speaker 3>lack of exuberance pounding the market once again with actually

0:00:56.280 --> 0:00:59.160
<v Speaker 3>yields pushing higher Riskill focused on geopolitics, said, but we're

0:00:59.160 --> 0:01:01.080
<v Speaker 3>looking at a third straight day of losses on the

0:01:01.120 --> 0:01:03.000
<v Speaker 3>laws that one hundred or off five out a percentage point.

0:01:03.000 --> 0:01:05.560
<v Speaker 3>We're off about three percent in those three training days.

0:01:05.600 --> 0:01:07.399
<v Speaker 3>As we just get a little bit of worry that

0:01:07.440 --> 0:01:09.440
<v Speaker 3>we went too far, too farst on the hardware side

0:01:09.440 --> 0:01:11.800
<v Speaker 3>of things, I shine a light on the Semiconductor Index.

0:01:12.040 --> 0:01:13.920
<v Speaker 3>The SOCKS is coming off by two percent. In fact,

0:01:14.160 --> 0:01:16.560
<v Speaker 3>we're down by eight nine percent. We're on the cusp

0:01:16.800 --> 0:01:19.680
<v Speaker 3>of some sort of well recalibration of where we've been

0:01:19.720 --> 0:01:21.759
<v Speaker 3>in this run up. Yes, it was about seventy percent

0:01:21.760 --> 0:01:23.480
<v Speaker 3>from the end of March, but now are we on

0:01:23.520 --> 0:01:25.640
<v Speaker 3>the verge of a correction. We're down almost eight or

0:01:25.720 --> 0:01:28.520
<v Speaker 3>nine percent, as I say, but a rotation. Some money

0:01:28.520 --> 0:01:30.680
<v Speaker 3>moving into the software stocks. You've got key earnings coming

0:01:30.680 --> 0:01:34.320
<v Speaker 3>from software and hardware over the next few days.

0:01:34.440 --> 0:01:35.839
<v Speaker 4>Neo clouds down.

0:01:36.080 --> 0:01:40.039
<v Speaker 2>The news Blackstone and Google forming a new company to

0:01:40.120 --> 0:01:44.120
<v Speaker 2>be a neocloud. Blackstone brings five billion dollars. There's debt financing.

0:01:44.400 --> 0:01:48.680
<v Speaker 2>Five hundred megawats is the target. Google's TPUs tensor processing

0:01:48.760 --> 0:01:51.280
<v Speaker 2>units are the chips. And look at those names that

0:01:51.320 --> 0:01:54.920
<v Speaker 2>are down Core weave, Ironebuus in particular, all very Nvidia

0:01:55.000 --> 0:01:58.560
<v Speaker 2>focused architectures. But neoclouds all the same. Competition seems to

0:01:58.560 --> 0:01:59.640
<v Speaker 2>be coming it does.

0:01:59.680 --> 0:02:02.200
<v Speaker 3>That's scuss the impact of Google blackstory. The partnership ed

0:02:02.360 --> 0:02:05.200
<v Speaker 3>Brie Big Intelligence says this pact could be a major

0:02:05.200 --> 0:02:08.760
<v Speaker 3>boost for the tech giants. Chips business Managsing, who wrote

0:02:08.840 --> 0:02:11.720
<v Speaker 3>that React joins us now. And what's so interesting is, yes,

0:02:11.760 --> 0:02:13.799
<v Speaker 3>the equity comes from Blackstone five billion, it could be

0:02:13.840 --> 0:02:15.920
<v Speaker 3>leveraged up to twenty five billion dollars. But this is

0:02:15.960 --> 0:02:19.040
<v Speaker 3>just another way for Alphabet to get its hardware out

0:02:19.040 --> 0:02:21.000
<v Speaker 3>there but not actually have to build the data centers.

0:02:21.000 --> 0:02:21.600
<v Speaker 3>It feels like.

0:02:22.800 --> 0:02:26.720
<v Speaker 5>Yeah, and look, when it comes to Nvidia, their ecosystem

0:02:26.840 --> 0:02:29.680
<v Speaker 5>of neo cloud players is pretty big. I mean, you

0:02:29.760 --> 0:02:32.120
<v Speaker 5>had a few of those on the on your screen.

0:02:32.200 --> 0:02:34.360
<v Speaker 5>And when it comes to Google, you know, you have

0:02:34.480 --> 0:02:37.880
<v Speaker 5>got terrible cipher mining, but there aren't a lot of

0:02:38.800 --> 0:02:41.919
<v Speaker 5>you know, TPU providers. And that's where you know, when

0:02:41.960 --> 0:02:45.920
<v Speaker 5>Anthropics says they want to use almost two hundred billion

0:02:46.000 --> 0:02:50.400
<v Speaker 5>dollars of capacity from Google, Google has to find a

0:02:50.440 --> 0:02:53.000
<v Speaker 5>way to you know, wrap that up outside of their

0:02:53.080 --> 0:02:56.760
<v Speaker 5>own cloud. And that's where I think this sort of

0:02:56.960 --> 0:03:01.040
<v Speaker 5>a transaction is quite interesting. Where Blackstone is putting the

0:03:01.080 --> 0:03:04.280
<v Speaker 5>money and also has got live capacity that they can

0:03:04.320 --> 0:03:07.640
<v Speaker 5>bring online by twenty twenty seven, which is what makes

0:03:07.639 --> 0:03:09.880
<v Speaker 5>this very attractive from a Google standpoint.

0:03:10.680 --> 0:03:13.919
<v Speaker 2>Hey, Mandy, what's the Bloomberg intelligence thesis on the business

0:03:13.960 --> 0:03:16.560
<v Speaker 2>model of setting up a neocloud for the TPU?

0:03:17.000 --> 0:03:17.080
<v Speaker 6>Right?

0:03:17.120 --> 0:03:20.440
<v Speaker 2>Because Google Cloud, you know, they have capacity that they

0:03:20.440 --> 0:03:23.120
<v Speaker 2>could get to third party customers. Why set up a

0:03:23.160 --> 0:03:24.480
<v Speaker 2>new standalone new code.

0:03:25.880 --> 0:03:26.120
<v Speaker 7>Yeah.

0:03:26.160 --> 0:03:28.560
<v Speaker 5>So in the case of Google Cloud, you know, they

0:03:28.600 --> 0:03:32.560
<v Speaker 5>are serving that traffic from Google's data centers. I mean

0:03:32.600 --> 0:03:36.160
<v Speaker 5>in this case, you know, having a neocloud provider use

0:03:36.680 --> 0:03:41.080
<v Speaker 5>Google TPUs and then everything else is taken care of

0:03:41.480 --> 0:03:43.960
<v Speaker 5>by a blackstown in this case, whether it's you know,

0:03:44.120 --> 0:03:47.120
<v Speaker 5>the power or the cooling or the you know, even

0:03:47.160 --> 0:03:50.960
<v Speaker 5>getting the land for that data center. So from that perspective,

0:03:51.200 --> 0:03:55.440
<v Speaker 5>having that live capacity is what you know, makes this

0:03:55.600 --> 0:03:58.800
<v Speaker 5>different from Google having to do it on their own,

0:03:58.840 --> 0:04:01.040
<v Speaker 5>which will be a lot more aggreed in terms of

0:04:01.040 --> 0:04:04.040
<v Speaker 5>how much gigawad they can bring online in twenty twenty six,

0:04:04.320 --> 0:04:07.440
<v Speaker 5>twenty twenty seven and beyond, whereas this would come life

0:04:07.840 --> 0:04:10.760
<v Speaker 5>much faster given the involvement of blacksture.

0:04:11.240 --> 0:04:14.240
<v Speaker 2>Man deep Seeing, who leads technology research at Bloomberg Intelligence.

0:04:14.240 --> 0:04:16.280
<v Speaker 2>Thank you very much. Let's take it today. A look

0:04:16.320 --> 0:04:19.960
<v Speaker 2>at today's big number. Seven thousand. That's how many workers

0:04:20.520 --> 0:04:24.239
<v Speaker 2>Medas resigning to new jobs related to AI. That's according

0:04:24.240 --> 0:04:26.440
<v Speaker 2>to an internal memo. This comes on the eve of

0:04:26.440 --> 0:04:30.120
<v Speaker 2>a ten percent staff cut tomorrow to improve efficiency and

0:04:30.160 --> 0:04:34.080
<v Speaker 2>quote offset metas investments in AI. AAR related job cuts

0:04:34.160 --> 0:04:36.120
<v Speaker 2>are the talk of Wall Street right now. Is Standard

0:04:36.200 --> 0:04:39.520
<v Speaker 2>Chartered CEO Bill Winters also saying his company plans to

0:04:39.560 --> 0:04:42.720
<v Speaker 2>cut more than fifteen percent of its supports staff by

0:04:42.760 --> 0:04:47.160
<v Speaker 2>twenty thirty, aiming to replace quote lower value human capital

0:04:47.560 --> 0:04:51.080
<v Speaker 2>with AI. Martin Norton is MPOWER Chief Investment Strategists, and

0:04:51.360 --> 0:04:54.320
<v Speaker 2>I'm going to ask you straight up, it's an interesting

0:04:54.440 --> 0:04:59.160
<v Speaker 2>balancing act cutting rolls and saying that this is not

0:04:59.200 --> 0:05:04.320
<v Speaker 2>necessarily a trim downsize, it's a reallocation a priority to AI.

0:05:04.920 --> 0:05:07.640
<v Speaker 2>As an investor, what signal does that give you?

0:05:08.640 --> 0:05:11.640
<v Speaker 8>Well, it's not the only piece of data that we

0:05:11.760 --> 0:05:14.000
<v Speaker 8>have as companies do that. We hear a lot of

0:05:14.040 --> 0:05:18.680
<v Speaker 8>different announcements of companies making reductions to their workforce related

0:05:18.720 --> 0:05:22.720
<v Speaker 8>to AI. I think a lot of these are idiosyncratic.

0:05:23.000 --> 0:05:25.320
<v Speaker 8>When we're looking at the broad economy at the moment,

0:05:25.760 --> 0:05:29.479
<v Speaker 8>we know that the broad economy added labor upon labor

0:05:29.640 --> 0:05:32.159
<v Speaker 8>and the wake of the pandemic, and now there's a

0:05:32.200 --> 0:05:34.719
<v Speaker 8>bit of right sizing, and so in some cases, I

0:05:34.800 --> 0:05:38.760
<v Speaker 8>do think companies are adding the AI moniker to make

0:05:38.800 --> 0:05:42.839
<v Speaker 8>it feel very forward looking to maybe AI whitewash it,

0:05:43.760 --> 0:05:46.960
<v Speaker 8>but not necessarily a sign of the times in terms

0:05:46.960 --> 0:05:49.960
<v Speaker 8>of very broad layoffs across the economy. In fact, one

0:05:49.960 --> 0:05:52.560
<v Speaker 8>of the areas that I'm looking more closely for signs

0:05:52.600 --> 0:05:54.839
<v Speaker 8>of an AI impact is more on the hiring side,

0:05:54.920 --> 0:05:57.279
<v Speaker 8>where people are maybe slower to higher than they otherwise

0:05:57.320 --> 0:05:59.839
<v Speaker 8>would because of AI. But yes, there are these idiosyncratic

0:06:00.120 --> 0:06:02.640
<v Speaker 8>reports that suggest we are seeing a little bit of

0:06:02.640 --> 0:06:03.919
<v Speaker 8>movement on that front.

0:06:04.160 --> 0:06:09.200
<v Speaker 3>I'm sorry, language matters, lower value, human capital, the extraordinary

0:06:09.279 --> 0:06:13.239
<v Speaker 3>choice of words, but Marta putting that to one side,

0:06:13.400 --> 0:06:16.640
<v Speaker 3>there is anxiety out there of labor and people who

0:06:16.640 --> 0:06:21.279
<v Speaker 3>are affected. But when you're thinking about how we see

0:06:21.600 --> 0:06:25.200
<v Speaker 3>actual businesses lean into this moment, are we still seeing

0:06:25.240 --> 0:06:28.320
<v Speaker 3>adoption taking root in the way you anticipated? Are we

0:06:28.400 --> 0:06:31.440
<v Speaker 3>seeing the people the label that is able to use

0:06:31.480 --> 0:06:33.280
<v Speaker 3>AI being more productive with it?

0:06:34.240 --> 0:06:36.760
<v Speaker 8>You know, I think those early signs that are pretty

0:06:36.760 --> 0:06:40.400
<v Speaker 8>positive in terms of adoption by current employees. So I

0:06:40.400 --> 0:06:43.240
<v Speaker 8>think everyone at this point is using the chatbots on

0:06:43.279 --> 0:06:47.080
<v Speaker 8>a regular basis to do, you know, low value research.

0:06:47.520 --> 0:06:51.239
<v Speaker 8>But I think the bigger question is this AI agent

0:06:51.400 --> 0:06:54.799
<v Speaker 8>deployment what that looks like? And you are seeing companies

0:06:55.360 --> 0:06:58.440
<v Speaker 8>talking about that in real time and beginning to structure

0:06:58.520 --> 0:07:01.280
<v Speaker 8>workflows around it. I think we're very early obviously on

0:07:01.320 --> 0:07:03.320
<v Speaker 8>the adoption of that. But that is where I think

0:07:03.360 --> 0:07:10.040
<v Speaker 8>a lot of this AI productivity can stem from.

0:07:08.640 --> 0:07:12.000
<v Speaker 2>Modern the market's trading, in part in anticipation of Nvidia.

0:07:12.400 --> 0:07:16.200
<v Speaker 2>After the closing bell Wednesday. Yesterday, I spoke to Nvidia

0:07:16.280 --> 0:07:19.040
<v Speaker 2>CEO Jensen Wang. This is how he frames the state

0:07:19.080 --> 0:07:19.480
<v Speaker 2>of play.

0:07:20.440 --> 0:07:23.000
<v Speaker 9>We have the largest supply chain in the world. Our

0:07:23.040 --> 0:07:27.040
<v Speaker 9>partners have done a great job securing supply for us,

0:07:27.360 --> 0:07:30.200
<v Speaker 9>and so all of the pieces go together. The silicon,

0:07:30.240 --> 0:07:33.520
<v Speaker 9>photonics is lined up, Everything is all lined up. It's

0:07:33.600 --> 0:07:38.080
<v Speaker 9>just that the demand is much greater than the overall capacity.

0:07:37.560 --> 0:07:38.000
<v Speaker 3>Of the world.

0:07:39.240 --> 0:07:43.600
<v Speaker 2>The demand is far out pacing this industry's ability to supply.

0:07:43.680 --> 0:07:46.840
<v Speaker 2>When you go into an earnings how do you decide

0:07:46.880 --> 0:07:49.800
<v Speaker 2>therefore the bar in terms of what is positive and

0:07:49.800 --> 0:07:53.720
<v Speaker 2>what is negative. If you're in a supply constraint world.

0:07:54.520 --> 0:07:56.680
<v Speaker 8>Well, I think you do want to see signs that

0:07:56.720 --> 0:07:59.080
<v Speaker 8>they are monetizing it. Right, If you're in a supply

0:07:59.240 --> 0:08:02.480
<v Speaker 8>constrained world, that demand should be moving earnings and you

0:08:02.520 --> 0:08:05.240
<v Speaker 8>want to see some evidence of that. But of course,

0:08:05.280 --> 0:08:07.920
<v Speaker 8>when we're talking about the supply constraint. We're also talking

0:08:07.960 --> 0:08:12.040
<v Speaker 8>about supply constraint and areas that would infect the likes

0:08:12.080 --> 0:08:14.280
<v Speaker 8>of n videos so memory checks, for example, And what

0:08:14.320 --> 0:08:16.920
<v Speaker 8>does that mean for gross margins and how are they

0:08:17.080 --> 0:08:19.960
<v Speaker 8>navigating that? I think those are important questions at the moment,

0:08:20.200 --> 0:08:21.960
<v Speaker 8>but I think the bigger picture, and I caught that

0:08:22.200 --> 0:08:25.000
<v Speaker 8>that interview yesterday. I think the bigger picture that Jensen

0:08:25.040 --> 0:08:28.280
<v Speaker 8>Wong is pointing to is this massive supply and demand

0:08:28.320 --> 0:08:31.600
<v Speaker 8>mismatch that we'll carry through not just this earnings report,

0:08:31.720 --> 0:08:35.400
<v Speaker 8>but for several quarters years to come as this all

0:08:35.400 --> 0:08:38.079
<v Speaker 8>plays out. So I really agree with his comment that

0:08:38.160 --> 0:08:41.199
<v Speaker 8>this is inning one, Inning two on the AI build.

0:08:42.040 --> 0:08:43.760
<v Speaker 3>Luckily we all call that into you. It was a

0:08:43.760 --> 0:08:45.840
<v Speaker 3>great one with Ed and Mountain Norton. We so appreciate

0:08:45.880 --> 0:08:47.920
<v Speaker 3>having you on the show today of Empower. Thank you

0:08:47.960 --> 0:08:51.720
<v Speaker 3>for your time. Coming up a bitter feud, personal grievances,

0:08:51.760 --> 0:08:54.520
<v Speaker 3>billions of dollars. The decision comes down to timing. We'll

0:08:54.520 --> 0:08:57.120
<v Speaker 3>discuss the jury's rejection of El Musk's claims against his

0:08:57.200 --> 0:09:14.680
<v Speaker 3>Open AI co founders, and what comes next the decision

0:09:14.760 --> 0:09:17.080
<v Speaker 3>in that closely watched legal battle between Ela Musk and

0:09:17.080 --> 0:09:20.480
<v Speaker 3>his open ai co founders came down to timing. A

0:09:20.559 --> 0:09:22.800
<v Speaker 3>jury rule that Musk waited too long to sue of

0:09:22.880 --> 0:09:26.080
<v Speaker 3>open AI's transition to a for profit business. Mugs Madelon

0:09:26.080 --> 0:09:28.400
<v Speaker 3>and Macklburg has been following the case every step of

0:09:28.440 --> 0:09:30.360
<v Speaker 3>the way. You join us now, Madeline. What did the

0:09:30.440 --> 0:09:33.120
<v Speaker 3>jury decide? What didn't it decide on?

0:09:34.840 --> 0:09:34.960
<v Speaker 6>Right?

0:09:35.080 --> 0:09:37.480
<v Speaker 10>It was a bit of an anti climactic verdict, if

0:09:37.480 --> 0:09:40.199
<v Speaker 10>I can say that, because the jury didn't actually make

0:09:40.240 --> 0:09:43.360
<v Speaker 10>a decision on any of the claims that Elon Musk

0:09:43.440 --> 0:09:46.720
<v Speaker 10>presented over the course of this lawsuit. What they said

0:09:46.760 --> 0:09:50.400
<v Speaker 10>instead was that he had not proven his case within

0:09:50.480 --> 0:09:53.600
<v Speaker 10>the statute of limitations set by law for the specific

0:09:53.640 --> 0:09:57.240
<v Speaker 10>claims that he brought. So essentially, they found that he

0:09:57.320 --> 0:10:00.160
<v Speaker 10>had concerns about this conduct and should have known about

0:10:00.200 --> 0:10:04.000
<v Speaker 10>this conduct years before he actually filed his lawsuit, and

0:10:04.040 --> 0:10:06.600
<v Speaker 10>so therefore the case that the jury was hearing should

0:10:06.640 --> 0:10:08.520
<v Speaker 10>be tossed out, which is what happened.

0:10:09.840 --> 0:10:12.440
<v Speaker 2>We're going to get an appeal, according to mister Mask,

0:10:12.480 --> 0:10:14.520
<v Speaker 2>who posted on x that he would appeal. I believe

0:10:14.640 --> 0:10:17.840
<v Speaker 2>like his legal team outside the courtroom said that we

0:10:17.880 --> 0:10:20.800
<v Speaker 2>would appeal. If that's the case, what do we know

0:10:21.120 --> 0:10:23.679
<v Speaker 2>about what that appeal would be based on From a

0:10:23.760 --> 0:10:25.320
<v Speaker 2>legal perspective.

0:10:26.280 --> 0:10:28.800
<v Speaker 10>Right, it should come as no surprise to anybody who

0:10:28.960 --> 0:10:31.520
<v Speaker 10>follows Elon Musk as a litigant that he plans to

0:10:31.640 --> 0:10:35.439
<v Speaker 10>appeal this and fight this vigorously. We saw him celebrating

0:10:35.520 --> 0:10:39.160
<v Speaker 10>on X afterwards saying that, you know, just because they

0:10:39.160 --> 0:10:42.040
<v Speaker 10>decided on the statute of limitations, they never actually touched

0:10:42.080 --> 0:10:44.520
<v Speaker 10>the merits of the case. I think an appeal on

0:10:44.800 --> 0:10:47.200
<v Speaker 10>this ground is a lot more narrow than if the

0:10:47.280 --> 0:10:49.480
<v Speaker 10>jury had actually ruled on the.

0:10:49.480 --> 0:10:50.920
<v Speaker 6>Merits of his claims.

0:10:51.240 --> 0:10:53.040
<v Speaker 10>So I think a lot It still kind of remains

0:10:53.040 --> 0:10:55.120
<v Speaker 10>to be seen of how this is going to play out,

0:10:55.120 --> 0:10:56.720
<v Speaker 10>but it's going to be an issue that the Ninth

0:10:56.720 --> 0:10:58.720
<v Speaker 10>Circuit Court of Appeals is going to have to sort

0:10:58.760 --> 0:11:00.200
<v Speaker 10>through when he eventually files that.

0:11:01.160 --> 0:11:04.480
<v Speaker 2>Bloomberg's Madeline Meckelberg, thank you very much. Let's dive more

0:11:04.480 --> 0:11:07.480
<v Speaker 2>into the legal considerations. Dorothy Lund is with us, a

0:11:07.520 --> 0:11:11.240
<v Speaker 2>professor at Columbia Law School focused on corporate law, governance

0:11:11.280 --> 0:11:13.960
<v Speaker 2>and contracts, returning to the show and has been covering

0:11:13.960 --> 0:11:17.000
<v Speaker 2>this trial with us. In our Bloomberg News story, we

0:11:17.160 --> 0:11:21.559
<v Speaker 2>write that mister Musk was too late in his suit,

0:11:21.679 --> 0:11:25.439
<v Speaker 2>and we later down in the story explain the idea

0:11:25.559 --> 0:11:28.560
<v Speaker 2>that he had knowledge in twenty twenty four and so

0:11:28.679 --> 0:11:31.400
<v Speaker 2>basically should have filed his suit sooner. But I've got

0:11:31.440 --> 0:11:33.320
<v Speaker 2>a lot of sympathy with people around the world that

0:11:33.360 --> 0:11:37.120
<v Speaker 2>don't understand the legal technicality of that. The Statute of

0:11:37.120 --> 0:11:40.559
<v Speaker 2>limitations seems to play a role here. Is this codified

0:11:41.360 --> 0:11:45.040
<v Speaker 2>or is this the jury's discretion in deciding that mister

0:11:45.120 --> 0:11:46.200
<v Speaker 2>Musk ran out of time?

0:11:47.679 --> 0:11:48.320
<v Speaker 6>Yeah, the jury.

0:11:48.440 --> 0:11:52.720
<v Speaker 11>So the jury had to basically answer this question of

0:11:52.760 --> 0:11:55.439
<v Speaker 11>whether or not the Statute of limitations applied to the

0:11:55.480 --> 0:11:57.520
<v Speaker 11>two claims that were brought here. So the two claims

0:11:57.559 --> 0:12:01.840
<v Speaker 11>is to remind everybody or there was a violation that

0:12:02.000 --> 0:12:06.400
<v Speaker 11>open ai, Brockman and Altman violated a promise that was

0:12:06.440 --> 0:12:08.880
<v Speaker 11>made to Musk that it would have a permanent charitable

0:12:09.160 --> 0:12:13.040
<v Speaker 11>charitable mission to develop safe open source AI technology, and

0:12:13.080 --> 0:12:17.000
<v Speaker 11>that they received undeserved benefits because of those broken promises.

0:12:17.600 --> 0:12:20.760
<v Speaker 11>And so then open ai said, well, you waited too

0:12:20.840 --> 0:12:25.080
<v Speaker 11>long to sue. You know, you brought your case on

0:12:25.240 --> 0:12:29.440
<v Speaker 11>August twenty twenty four, and the statute of limitations was

0:12:29.480 --> 0:12:32.719
<v Speaker 11>only three It was three years, which meant the things

0:12:32.760 --> 0:12:35.160
<v Speaker 11>that you're complaining about that took place in twenty eighteen,

0:12:35.320 --> 0:12:39.520
<v Speaker 11>twenty nineteen, you're too late.

0:12:40.120 --> 0:12:40.880
<v Speaker 7>Well, I think that is.

0:12:41.240 --> 0:12:44.840
<v Speaker 2>Surely, did Elon Musk and his team of very expensive

0:12:44.920 --> 0:12:48.240
<v Speaker 2>lawyers not understand the law or something when they followed

0:12:48.280 --> 0:12:48.640
<v Speaker 2>the suit?

0:12:49.480 --> 0:12:50.120
<v Speaker 6>Nosk?

0:12:50.200 --> 0:12:53.400
<v Speaker 11>You know, so Musk of course had these fabulous lawyers,

0:12:53.960 --> 0:12:57.960
<v Speaker 11>and you know that the statute of limitations is told

0:12:58.080 --> 0:13:01.440
<v Speaker 11>if you've concealed, if harm has been concealed, or you

0:13:01.480 --> 0:13:05.240
<v Speaker 11>haven't discovered the harm. And so his argument was, well,

0:13:05.280 --> 0:13:07.559
<v Speaker 11>you know, Sam Altman and open Ai have been lying

0:13:07.600 --> 0:13:10.439
<v Speaker 11>to me. They concealed that they were doing all this stuff.

0:13:10.440 --> 0:13:14.160
<v Speaker 11>It wasn't until twenty twenty three that I really understood

0:13:14.280 --> 0:13:16.640
<v Speaker 11>what was going on. And so this and this gets

0:13:16.640 --> 0:13:19.160
<v Speaker 11>back to your original question, which is why did this

0:13:19.240 --> 0:13:20.000
<v Speaker 11>go to a jury?

0:13:20.120 --> 0:13:20.360
<v Speaker 7>Right?

0:13:20.760 --> 0:13:24.000
<v Speaker 11>The jury had to sift through testimony from both parties,

0:13:24.520 --> 0:13:27.760
<v Speaker 11>documents and to try to understand this timing question. Okay,

0:13:27.800 --> 0:13:31.120
<v Speaker 11>so when was it that Musk knew or reasonably should

0:13:31.120 --> 0:13:34.400
<v Speaker 11>have known about the harm that he was claiming happened.

0:13:36.200 --> 0:13:40.720
<v Speaker 3>And instead we all get consumed with billionaire versus billionaire

0:13:41.040 --> 0:13:43.680
<v Speaker 3>and how much equity they own in the underlying company

0:13:43.960 --> 0:13:46.240
<v Speaker 3>and what they're like in terms of managers or how

0:13:46.280 --> 0:13:48.920
<v Speaker 3>trustworthy they are at the end of the day, when

0:13:48.920 --> 0:13:52.000
<v Speaker 3>we misguided to think that when they go back to

0:13:52.040 --> 0:13:54.600
<v Speaker 3>an appeals court, will it be argued in a different way.

0:13:56.240 --> 0:14:00.199
<v Speaker 11>Yeah, So it's a little disappointing that we didn't get

0:14:00.200 --> 0:14:03.360
<v Speaker 11>an answer on the big question here, right, that the

0:14:04.200 --> 0:14:07.200
<v Speaker 11>claims that I was telling you about just now are

0:14:07.400 --> 0:14:10.960
<v Speaker 11>are unaddressed, and in this appeal we won't get any

0:14:11.000 --> 0:14:13.679
<v Speaker 11>resolution on this either. So you know, this is going

0:14:13.720 --> 0:14:17.679
<v Speaker 11>to be a narrow appeal on this decision of the

0:14:17.720 --> 0:14:21.440
<v Speaker 11>statute of limitations. And because that statute of limitations question

0:14:22.000 --> 0:14:26.000
<v Speaker 11>turned on a factual determination, you know that is going

0:14:26.040 --> 0:14:29.440
<v Speaker 11>to be really hard to be overturned. Public courts rarely

0:14:29.560 --> 0:14:34.080
<v Speaker 11>overturn a jury's fact intensive findings, especially in this case

0:14:34.120 --> 0:14:37.280
<v Speaker 11>where the judge also reviewed the evidence and said I

0:14:37.320 --> 0:14:40.520
<v Speaker 11>came to the same conclusion. And so the only path

0:14:40.560 --> 0:14:43.600
<v Speaker 11>four from USK is going to be arguing a different

0:14:43.600 --> 0:14:46.280
<v Speaker 11>set of things about you know, the argument would have

0:14:46.320 --> 0:14:54.080
<v Speaker 11>to be some error that proud come here, improper instructions

0:14:54.240 --> 0:14:56.760
<v Speaker 11>or improper evidentiary rulings.

0:14:57.080 --> 0:14:59.360
<v Speaker 2>We're having some technical issues, or if you with your zoom.

0:14:59.440 --> 0:15:03.240
<v Speaker 2>So give the Internet gremlins a second to reset. But

0:15:03.280 --> 0:15:05.160
<v Speaker 2>my question to you is exactly that, I don't want

0:15:05.200 --> 0:15:06.040
<v Speaker 2>you to speculate.

0:15:06.720 --> 0:15:09.240
<v Speaker 4>But what options does mister.

0:15:09.080 --> 0:15:11.320
<v Speaker 2>Musk have if he needs to go to the appeals

0:15:11.360 --> 0:15:14.600
<v Speaker 2>court but argue something completely different to the original case.

0:15:16.360 --> 0:15:19.360
<v Speaker 11>Yeah, his argument is going to have to be that

0:15:20.040 --> 0:15:25.120
<v Speaker 11>there were significant legal or procedural errors that prejudice the outcome.

0:15:25.600 --> 0:15:29.080
<v Speaker 11>You know that there the instructions to the jury were improper,

0:15:29.960 --> 0:15:33.840
<v Speaker 11>their evidentiary rulings were wrongly decided. There won't be any

0:15:34.280 --> 0:15:39.880
<v Speaker 11>discussion on the substance of this larger question of whether

0:15:39.960 --> 0:15:43.080
<v Speaker 11>or not Opening I violated its charitable purpose when it

0:15:43.120 --> 0:15:45.920
<v Speaker 11>restructured to create a for profit affiliate.

0:15:46.080 --> 0:15:49.400
<v Speaker 3>Called a public opinion. Therefore, in many ways, Dorothy Lund,

0:15:49.480 --> 0:15:52.720
<v Speaker 3>Professor at Columbia Law School, fantastic to have you. Thank you.

0:15:52.800 --> 0:15:56.240
<v Speaker 3>Coming up, Parallel is moving past the era of flat

0:15:56.280 --> 0:16:00.160
<v Speaker 3>f AI licensing deals. The CEO Arak Agrawal is me

0:16:00.280 --> 0:16:02.640
<v Speaker 3>joining us. Next this is blue bag Tech.

0:16:16.760 --> 0:16:20.000
<v Speaker 2>Parallel, a web API purpose built for AI and led

0:16:20.000 --> 0:16:23.400
<v Speaker 2>by the FORMACYO of Twitter, is launching Index today, a

0:16:23.440 --> 0:16:27.600
<v Speaker 2>new marketplace that pays publishers and data providers based on

0:16:27.640 --> 0:16:31.000
<v Speaker 2>how much their content actually helps an AI agent completed task.

0:16:31.400 --> 0:16:34.960
<v Speaker 2>Joining us is Parallel, founder and CEO Para Agrowl. So,

0:16:35.000 --> 0:16:37.200
<v Speaker 2>in answer to the question what did you get done

0:16:37.240 --> 0:16:43.160
<v Speaker 2>this week? You launched Index in this era of agentic right,

0:16:43.720 --> 0:16:48.120
<v Speaker 2>the agents need the web data and the proprietary data sets.

0:16:49.200 --> 0:16:52.520
<v Speaker 2>I guess saw a gap where the marketplace for that

0:16:52.600 --> 0:16:54.560
<v Speaker 2>data doesn't exist. Then now you think it does.

0:16:55.520 --> 0:17:00.520
<v Speaker 12>Yeah, we've been linked towards this content marketplace for the

0:17:00.560 --> 0:17:02.760
<v Speaker 12>last two and a half years. We've started Parallel with

0:17:02.800 --> 0:17:05.919
<v Speaker 12>the notion that agents will use all of the content

0:17:05.920 --> 0:17:09.280
<v Speaker 12>on the web thousand x more than humans ever have.

0:17:09.840 --> 0:17:13.200
<v Speaker 12>And when that happens, the technology that we've built over

0:17:13.240 --> 0:17:16.640
<v Speaker 12>the last couple of decades isn't enough. But the business

0:17:16.680 --> 0:17:20.760
<v Speaker 12>models also break down. Adds, subscriptions, these business models no

0:17:20.840 --> 0:17:25.199
<v Speaker 12>longer work, and that I think is the opportunity for

0:17:25.280 --> 0:17:27.960
<v Speaker 12>us to figure out how to align the interests of

0:17:28.280 --> 0:17:32.320
<v Speaker 12>AI agents doing real work along with the content owners

0:17:32.359 --> 0:17:35.680
<v Speaker 12>who are creating valuable content that feeds these agents.

0:17:36.400 --> 0:17:38.040
<v Speaker 7>And that's what Index is all about.

0:17:37.920 --> 0:17:40.159
<v Speaker 2>To help the Boomberg Tech audience out. The question what

0:17:40.240 --> 0:17:41.879
<v Speaker 2>did you get done this week? Was posed to you

0:17:41.920 --> 0:17:45.919
<v Speaker 2>by mister musk just before you left Twitter. How do

0:17:45.920 --> 0:17:48.560
<v Speaker 2>you assign a value then to the data? You've called

0:17:48.560 --> 0:17:52.480
<v Speaker 2>this index very interesting. Right on the one side you

0:17:52.520 --> 0:17:56.280
<v Speaker 2>have the agent or the entity the agent is acting.

0:17:56.080 --> 0:17:56.760
<v Speaker 4>On behalf of.

0:17:57.200 --> 0:17:58.640
<v Speaker 2>And then on the other side you have the source

0:17:58.640 --> 0:18:01.439
<v Speaker 2>of the data who sets up price or value.

0:18:01.640 --> 0:18:04.160
<v Speaker 12>Yeah, So if you think about other deals that are

0:18:04.160 --> 0:18:08.520
<v Speaker 12>being done, these deals are typically between a large lab

0:18:08.880 --> 0:18:13.639
<v Speaker 12>or a hyperscaler or Google alongside a large publishing house.

0:18:13.680 --> 0:18:17.600
<v Speaker 12>And these are flat feed deals where over time, I

0:18:17.640 --> 0:18:20.840
<v Speaker 12>don't believe content owners get to participate in the growing

0:18:21.000 --> 0:18:24.760
<v Speaker 12>economy of agents. Now, what's really happening with agents is

0:18:25.200 --> 0:18:29.040
<v Speaker 12>they are starting to do real work, real knowledge work

0:18:29.080 --> 0:18:31.480
<v Speaker 12>in the enterprise. So if you think about our customers,

0:18:31.480 --> 0:18:35.719
<v Speaker 12>our customers span people building AI scientists. Our customers are

0:18:35.720 --> 0:18:40.200
<v Speaker 12>building air lawyers, customers are building for finance using agents,

0:18:40.920 --> 0:18:44.159
<v Speaker 12>and all of these agents that our customers built are

0:18:44.160 --> 0:18:48.920
<v Speaker 12>doing real work when they produce value. Content owners don't

0:18:48.920 --> 0:18:52.720
<v Speaker 12>get to participate in that economy of the value being.

0:18:52.600 --> 0:18:54.320
<v Speaker 7>Created with index.

0:18:54.359 --> 0:18:57.280
<v Speaker 12>What we're trying to do is buil a system where

0:18:57.840 --> 0:19:02.480
<v Speaker 12>if very valuable work is done using somebody's data, they

0:19:03.040 --> 0:19:07.960
<v Speaker 12>get more money. If someone has very high quality data,

0:19:08.359 --> 0:19:11.840
<v Speaker 12>they get paid more. And we've built a model to

0:19:12.000 --> 0:19:15.320
<v Speaker 12>figure out what this value is, what this marginal contribution is,

0:19:15.840 --> 0:19:18.920
<v Speaker 12>and it draws from this game theorty concept called Shapi values.

0:19:19.600 --> 0:19:22.639
<v Speaker 3>Let's talk about the shapely value. It's contribution to the

0:19:22.680 --> 0:19:25.159
<v Speaker 3>work performed by an AI agent. So basically, instead of

0:19:25.680 --> 0:19:29.280
<v Speaker 3>content access crawls or citations, you consider the value. I mean,

0:19:29.880 --> 0:19:32.560
<v Speaker 3>but where's the monetary number coming from? What are you

0:19:32.640 --> 0:19:36.639
<v Speaker 3>pegging it against? And how how do you work out what?

0:19:36.760 --> 0:19:39.720
<v Speaker 3>Then ADII agent has eventually learned itself.

0:19:39.359 --> 0:19:41.040
<v Speaker 7>Off for well.

0:19:41.119 --> 0:19:43.879
<v Speaker 12>Shappie values has been my obsession for the last three

0:19:43.960 --> 0:19:46.719
<v Speaker 12>years as we've been working on this. So just in

0:19:46.720 --> 0:19:49.200
<v Speaker 12>a sentence, what shappily values is is about like if

0:19:49.560 --> 0:19:53.399
<v Speaker 12>a few people decide to collaborate on building something in

0:19:53.440 --> 0:19:55.600
<v Speaker 12>a positive some way where the whole is bigger than

0:19:55.640 --> 0:19:58.359
<v Speaker 12>the sum of parts. The question is how do you

0:19:58.400 --> 0:20:01.080
<v Speaker 12>divide up this value? And schappely value is the concept

0:20:01.119 --> 0:20:03.679
<v Speaker 12>that tells us the way to divide this value so

0:20:03.720 --> 0:20:09.199
<v Speaker 12>that everyone is incentivized to participate. The net outcome of

0:20:09.400 --> 0:20:13.920
<v Speaker 12>using this concept two reward content owners. It creates three

0:20:14.000 --> 0:20:18.000
<v Speaker 12>really nice properties. One high quality content gets paid more.

0:20:18.480 --> 0:20:22.399
<v Speaker 12>Number two, content that gets used in high value work

0:20:22.640 --> 0:20:26.600
<v Speaker 12>gets paid more. And most importantly, as agents do more

0:20:26.680 --> 0:20:31.320
<v Speaker 12>work and create more value, content owners grow alongside them,

0:20:31.680 --> 0:20:35.800
<v Speaker 12>which we believe allows content creation on the web to

0:20:35.800 --> 0:20:36.520
<v Speaker 12>be sustainable.

0:20:37.280 --> 0:20:39.639
<v Speaker 3>There are a lot of content creators out there right now,

0:20:40.320 --> 0:20:42.480
<v Speaker 3>So how do they sign up to INEX? How do

0:20:42.520 --> 0:20:45.120
<v Speaker 3>you make sure that it's not just quite large either?

0:20:45.200 --> 0:20:46.480
<v Speaker 6>Individuals who are.

0:20:46.440 --> 0:20:48.720
<v Speaker 3>Writing I think of alex Etho is actually those that

0:20:48.760 --> 0:20:51.560
<v Speaker 3>have got a minor substack, but with really valuable content

0:20:51.560 --> 0:20:53.280
<v Speaker 3>that somehow the agent has managed to access.

0:20:53.280 --> 0:20:54.199
<v Speaker 6>How do they access that?

0:20:55.440 --> 0:20:55.720
<v Speaker 7>Yeah?

0:20:55.760 --> 0:21:00.000
<v Speaker 12>With Index Today we're announcing collection of launch partners. These

0:21:00.080 --> 0:21:04.480
<v Speaker 12>span premium news publishers like The Atlantic and Fortune to

0:21:05.160 --> 0:21:09.080
<v Speaker 12>really raw, factual, amazing content from the pr Newswire, business

0:21:09.160 --> 0:21:14.119
<v Speaker 12>intelligence and data providers like pitch Bork and Traction and

0:21:14.200 --> 0:21:18.800
<v Speaker 12>zoom Info, as well as independent creators like Alex Heath,

0:21:19.440 --> 0:21:23.879
<v Speaker 12>Azimazer as several others. The really interesting part about this

0:21:24.160 --> 0:21:30.640
<v Speaker 12>is that we want everyone, all content owners big and small,

0:21:31.280 --> 0:21:33.439
<v Speaker 12>to be able to participate in this economy, and we

0:21:33.480 --> 0:21:36.640
<v Speaker 12>want all agents, not just once built by large providers,

0:21:36.680 --> 0:21:38.560
<v Speaker 12>to be able to get access to all of this

0:21:38.600 --> 0:21:39.280
<v Speaker 12>amazing content.

0:21:39.359 --> 0:21:42.240
<v Speaker 2>Correct, We just have sixty seconds, but can ask you

0:21:42.280 --> 0:21:45.040
<v Speaker 2>about x the platform known as Twitter. Of course, still

0:21:45.119 --> 0:21:48.399
<v Speaker 2>using it, your view of it and as part of

0:21:48.520 --> 0:21:49.800
<v Speaker 2>XAI is part of SpaceX.

0:21:51.200 --> 0:21:53.240
<v Speaker 7>I'm still using it. I'm still calling it Twitter.

0:21:54.280 --> 0:21:57.399
<v Speaker 12>I think we built a product over a decade that

0:21:57.480 --> 0:22:03.680
<v Speaker 12>I was there which endures in value forever, and I'm

0:22:03.720 --> 0:22:06.000
<v Speaker 12>really proud of the platform that we created.

0:22:06.040 --> 0:22:07.560
<v Speaker 7>It allows the theme of.

0:22:08.400 --> 0:22:11.960
<v Speaker 12>Content access and democratization out in the open versus and

0:22:12.000 --> 0:22:15.400
<v Speaker 12>permission groups, and that theme is what carries forward into

0:22:15.480 --> 0:22:18.280
<v Speaker 12>my current company, Parallel, where the goal is to have

0:22:18.520 --> 0:22:21.879
<v Speaker 12>as much content as possible out in the open, for

0:22:22.119 --> 0:22:25.479
<v Speaker 12>everyone to have access to, everyone's agent to have access

0:22:25.520 --> 0:22:27.880
<v Speaker 12>to instead of just the.

0:22:27.800 --> 0:22:32.200
<v Speaker 3>Few, and be compensated Paral Else, CEO Aragagowel is great

0:22:32.240 --> 0:22:33.719
<v Speaker 3>to have some time with you. Thank you for coming on.

0:22:34.160 --> 0:22:34.360
<v Speaker 6>Now.

0:22:34.359 --> 0:22:37.480
<v Speaker 3>Coming out, we dive into metas mega data center plans

0:22:37.480 --> 0:22:40.720
<v Speaker 3>in Louisiana and some the hiccups along the way from

0:22:40.720 --> 0:22:43.200
<v Speaker 3>New York from San Francisco, there's a Bluema.

0:22:42.960 --> 0:23:03.800
<v Speaker 4>Tech welcome back to Bloomberg Tech.

0:23:03.840 --> 0:23:07.160
<v Speaker 2>There's still a semiconductor story in financial markets and looking

0:23:07.160 --> 0:23:10.160
<v Speaker 2>at the socks or the Philadelphia Semiconductor index. We're down

0:23:10.160 --> 0:23:11.240
<v Speaker 2>for a third straight day.

0:23:11.880 --> 0:23:13.040
<v Speaker 4>A part of this is.

0:23:13.080 --> 0:23:15.240
<v Speaker 2>Kind of a breather after what we were calling the

0:23:15.280 --> 0:23:18.399
<v Speaker 2>melt up. The performance in chip stocks since the end

0:23:18.400 --> 0:23:22.199
<v Speaker 2>of March was astonishing. But there's also this element that

0:23:22.240 --> 0:23:25.440
<v Speaker 2>we are really close to correction territory in three days.

0:23:25.480 --> 0:23:27.200
<v Speaker 2>At one point in the session, we were down almost

0:23:27.200 --> 0:23:29.600
<v Speaker 2>ten percent. Its karra Of pointed out earlier. In Vidia

0:23:29.760 --> 0:23:32.080
<v Speaker 2>is a part of it, right, and the idea that

0:23:32.160 --> 0:23:35.359
<v Speaker 2>posts President Trump's visit to China. We don't really have

0:23:35.400 --> 0:23:37.800
<v Speaker 2>a net conclusion of what's going on, but we get

0:23:37.840 --> 0:23:41.280
<v Speaker 2>in Video earnings on Wednesday, so fresh off his trip

0:23:41.320 --> 0:23:43.880
<v Speaker 2>to Beijing and Video CEO Jensen Wong says he's confident

0:23:44.240 --> 0:23:46.760
<v Speaker 2>the Chinese market will eventually open back up.

0:23:46.760 --> 0:23:47.480
<v Speaker 4>To his company.

0:23:47.520 --> 0:23:51.359
<v Speaker 2>Delceo and Michael Dell shared that optimism for economic collaboration

0:23:51.440 --> 0:23:53.520
<v Speaker 2>as well. Here's what both leaders told me at Del

0:23:53.560 --> 0:23:55.280
<v Speaker 2>World in Las Vegas yesterday.

0:23:56.760 --> 0:24:01.280
<v Speaker 9>The President once America the wind everywhere right. The President

0:24:01.359 --> 0:24:05.760
<v Speaker 9>wants America to lead the Ai revolution, and so h

0:24:05.840 --> 0:24:08.639
<v Speaker 9>two hundreds are licensed to sell to China.

0:24:09.480 --> 0:24:11.560
<v Speaker 7>The Chinese. The Chinese government.

0:24:11.240 --> 0:24:14.359
<v Speaker 9>Has to decide how much of their local market do

0:24:14.400 --> 0:24:16.480
<v Speaker 9>they want to protect and how much of their local

0:24:16.520 --> 0:24:19.000
<v Speaker 9>market do they want to expand with more a more

0:24:19.040 --> 0:24:22.399
<v Speaker 9>AI capacity. My sense is that the demand in China

0:24:22.520 --> 0:24:26.280
<v Speaker 9>is so incredible, just like it is here. Agentic Ai

0:24:26.480 --> 0:24:29.960
<v Speaker 9>is also making enormous progress there. My sense is that

0:24:30.080 --> 0:24:34.760
<v Speaker 9>over time the market will open. President she was very

0:24:34.760 --> 0:24:38.399
<v Speaker 9>clear that he wants China to be an even wider

0:24:38.520 --> 0:24:44.359
<v Speaker 9>open market. Premier Lee Chang was very straightforward and to

0:24:44.520 --> 0:24:48.399
<v Speaker 9>explain very eloquently that that China will be an open market.

0:24:48.440 --> 0:24:50.240
<v Speaker 7>So I'm looking forward to China be in a more.

0:24:50.119 --> 0:24:52.800
<v Speaker 2>Open clarified as you were able to meet with those

0:24:52.840 --> 0:24:56.440
<v Speaker 2>officials directly to discuss whether or not you can sell

0:24:56.520 --> 0:24:58.320
<v Speaker 2>to those Chinese tech companies.

0:24:58.440 --> 0:24:58.680
<v Speaker 7>I did.

0:24:58.760 --> 0:25:01.920
<v Speaker 9>I didn't discuss directly with them about age two hundred, right.

0:25:01.960 --> 0:25:03.960
<v Speaker 9>I was there to represent the United States and I

0:25:04.040 --> 0:25:05.959
<v Speaker 9>was honored to do so. I was there to support

0:25:06.000 --> 0:25:07.240
<v Speaker 9>President Trump and.

0:25:07.520 --> 0:25:08.560
<v Speaker 7>Really glad to do so.

0:25:09.320 --> 0:25:12.800
<v Speaker 9>But that was really the focus of my trip. President

0:25:12.880 --> 0:25:17.240
<v Speaker 9>Trump had some conversations with the leaders, and I'm looking

0:25:17.240 --> 0:25:18.879
<v Speaker 9>forward to what they decided.

0:25:19.200 --> 0:25:21.240
<v Speaker 2>Michael, you did not go to China, but I think

0:25:21.280 --> 0:25:23.680
<v Speaker 2>what's interesting is you are a member of the President's

0:25:23.680 --> 0:25:28.440
<v Speaker 2>Council advises for science and technology, as is Jensen, your

0:25:28.600 --> 0:25:31.840
<v Speaker 2>net conclusion on whether or not China will become open

0:25:32.240 --> 0:25:35.240
<v Speaker 2>to American technology companies to do business there.

0:25:36.840 --> 0:25:39.119
<v Speaker 4>You know, we have a bus in China.

0:25:39.200 --> 0:25:44.000
<v Speaker 13>Obviously we comply with all the restrictions and you know,

0:25:44.640 --> 0:25:46.639
<v Speaker 13>various controls that are in place.

0:25:47.400 --> 0:25:49.320
<v Speaker 4>But I hope that there's.

0:25:49.240 --> 0:25:52.800
<v Speaker 13>More economic collaboration between the United States and China that

0:25:52.920 --> 0:25:57.840
<v Speaker 13>ultimately is will lead to greater outcomes and prosperity for everyone.

0:25:58.080 --> 0:26:02.199
<v Speaker 13>And you know, a greater likely heard of a successful

0:26:02.240 --> 0:26:06.359
<v Speaker 13>relationship between the countries and around the world.

0:26:07.240 --> 0:26:09.560
<v Speaker 3>Dell CEO Michael Dale, of course, and Video CEO Jensen,

0:26:09.560 --> 0:26:12.840
<v Speaker 3>And I'm speaking there with Ed yesterday. And let's just

0:26:12.920 --> 0:26:18.040
<v Speaker 3>revisit today's big number with Meta reassigning seven thousand workers

0:26:18.080 --> 0:26:20.800
<v Speaker 3>to new jobs. Of course they're related to AI. An

0:26:20.800 --> 0:26:24.320
<v Speaker 3>internal memo from Chief people Officer Janelle Gale, viewed by Bloomberg,

0:26:24.440 --> 0:26:27.399
<v Speaker 3>Reveal's employees will move into one of several new groups

0:26:27.440 --> 0:26:30.240
<v Speaker 3>focused on AI related products, including agents and apps. The

0:26:30.280 --> 0:26:33.960
<v Speaker 3>new corporate structure will quote be flatter and have smaller teams.

0:26:34.400 --> 0:26:36.280
<v Speaker 3>Now this comes as the company is getting ready, of course,

0:26:36.280 --> 0:26:38.639
<v Speaker 3>to cup ten percent of its staff this week as

0:26:38.680 --> 0:26:41.800
<v Speaker 3>part of an effort to, as they say, improve efficiency ed.

0:26:42.520 --> 0:26:42.720
<v Speaker 1>Yeah.

0:26:42.760 --> 0:26:46.080
<v Speaker 2>Sticking with Meta's big AI plans, Mark Zuckerberg's plan to

0:26:46.119 --> 0:26:50.640
<v Speaker 2>build the world's biggest AI facility has enmeshed his company

0:26:50.680 --> 0:26:55.000
<v Speaker 2>deeply in Louisiana's politics and economy, the projects providing an

0:26:55.000 --> 0:26:58.080
<v Speaker 2>economic boost to one of the nation's poorest regions, but

0:26:58.200 --> 0:27:02.359
<v Speaker 2>also bringing a host of growing Bloomberg's Riley Griffin joins

0:27:02.440 --> 0:27:05.840
<v Speaker 2>us more with the big take, and there's big readership

0:27:05.880 --> 0:27:09.080
<v Speaker 2>on this, a lot of interest. You did what every

0:27:09.119 --> 0:27:12.440
<v Speaker 2>good Beat reporter does. You go there, you see what's

0:27:12.440 --> 0:27:16.000
<v Speaker 2>happening on the ground. The headline is two hundred billion dollars, right,

0:27:16.040 --> 0:27:19.800
<v Speaker 2>that's the commitment. What is happening with Meta in Louisiana.

0:27:19.920 --> 0:27:22.240
<v Speaker 14>Yeah, A really important point here is that two hundred

0:27:22.320 --> 0:27:25.080
<v Speaker 14>billion dollars spend that Meta is thinking about with Richland

0:27:25.160 --> 0:27:26.879
<v Speaker 14>Parish and its data center.

0:27:26.920 --> 0:27:29.520
<v Speaker 6>There is largely about the chips.

0:27:29.840 --> 0:27:32.520
<v Speaker 14>This is going to be a five gigawatt of compute

0:27:32.560 --> 0:27:35.679
<v Speaker 14>capacity data center, another two point five gigawatts to support

0:27:35.680 --> 0:27:39.520
<v Speaker 14>the broader campus, which is spanning nearly four thousand acres.

0:27:39.680 --> 0:27:41.639
<v Speaker 14>President Donald Trump has said that this is going to

0:27:41.680 --> 0:27:45.119
<v Speaker 14>be a Manhattan sized project after speaking with Mark Zuckerberg.

0:27:45.440 --> 0:27:47.240
<v Speaker 14>But a lot of that spend isn't going directly into

0:27:47.280 --> 0:27:50.120
<v Speaker 14>the community. It's going into the chips inside the facilities.

0:27:50.520 --> 0:27:52.720
<v Speaker 14>And we still have to ask the question, what does

0:27:52.720 --> 0:27:55.399
<v Speaker 14>this mean for the people of Richland Parish in the

0:27:55.440 --> 0:27:59.600
<v Speaker 14>Louisiana Delta, a region that has struggled for decades and

0:27:59.640 --> 0:28:03.680
<v Speaker 14>where farmers are really losing four hundred dollars on every

0:28:03.680 --> 0:28:04.680
<v Speaker 14>acre of cotton they sell.

0:28:04.760 --> 0:28:07.679
<v Speaker 3>Right now, Well, let's go to Dustin Morris, because you

0:28:07.720 --> 0:28:11.680
<v Speaker 3>paint a picture of how his economic reality is currently.

0:28:11.720 --> 0:28:15.440
<v Speaker 3>He's a soybean, a corn farmer, and he's flying around

0:28:16.080 --> 0:28:18.439
<v Speaker 3>his own land trying to work out whether it's the

0:28:18.520 --> 0:28:20.359
<v Speaker 3>right time to be selling out right.

0:28:21.440 --> 0:28:24.680
<v Speaker 14>Yeah, it's a story of expected land rush right as

0:28:24.760 --> 0:28:27.159
<v Speaker 14>with all of the data center stories of this size

0:28:27.160 --> 0:28:30.840
<v Speaker 14>around the United States, many of them shifting into rural regions,

0:28:30.880 --> 0:28:34.400
<v Speaker 14>particularly in the South, and people are looking around and wondering,

0:28:34.720 --> 0:28:36.840
<v Speaker 14>you know, do I trade this history, Do I trade

0:28:36.880 --> 0:28:40.440
<v Speaker 14>this land? Do I trade this crop for a data center?

0:28:41.360 --> 0:28:43.320
<v Speaker 14>And it was I mean, it was really an honor

0:28:43.360 --> 0:28:45.680
<v Speaker 14>to be able to go multiple times to Richland Parish

0:28:45.680 --> 0:28:48.640
<v Speaker 14>and hear their concerns and think about the way they're

0:28:48.800 --> 0:28:51.960
<v Speaker 14>looking at Meta as a lifeline, and I over.

0:28:52.280 --> 0:28:55.200
<v Speaker 2>Was jumping what a Meta saying about that? Like was

0:28:55.240 --> 0:28:58.240
<v Speaker 2>Meta's response to it? And what do people genuinely feel

0:28:58.240 --> 0:29:00.560
<v Speaker 2>about the company even where it's made a building there.

0:29:01.040 --> 0:29:01.960
<v Speaker 6>Well, it took some time.

0:29:02.040 --> 0:29:04.000
<v Speaker 14>Meta hashed out this deal over the course of a

0:29:04.080 --> 0:29:07.200
<v Speaker 14>year in private. Meta is certainly saying they want to

0:29:07.240 --> 0:29:09.280
<v Speaker 14>be there in the thick of it with the community.

0:29:09.280 --> 0:29:12.200
<v Speaker 14>They're investing in the schools. There's actually a school at

0:29:12.200 --> 0:29:15.560
<v Speaker 14>the corner of the data center. There are discussions about

0:29:15.560 --> 0:29:17.800
<v Speaker 14>whether it should be moved. I have heard that Meta

0:29:17.880 --> 0:29:22.840
<v Speaker 14>is reviewing plans, so they're in the trenches. But notably,

0:29:22.840 --> 0:29:25.080
<v Speaker 14>Meta is only bringing five hundred jobs. This is a

0:29:25.080 --> 0:29:27.880
<v Speaker 14>community that's looked for five thousand over the years from

0:29:27.920 --> 0:29:31.040
<v Speaker 14>an auto manufacturer and have been unable to court that.

0:29:31.200 --> 0:29:34.000
<v Speaker 14>So will five hundred jobs be enough to provide that

0:29:34.080 --> 0:29:35.800
<v Speaker 14>economic lifeline long term?

0:29:35.960 --> 0:29:36.600
<v Speaker 6>I'm not sure.

0:29:37.360 --> 0:29:40.360
<v Speaker 2>To the's Riley Griffin with the big take top of

0:29:40.400 --> 0:29:42.959
<v Speaker 2>the website and the Bloomberg terminal carry there's plenty more

0:29:43.000 --> 0:29:43.800
<v Speaker 2>news out there today.

0:29:43.920 --> 0:29:45.760
<v Speaker 3>There is It's time now for talking tech ed and

0:29:45.800 --> 0:29:49.880
<v Speaker 3>first up Chinese AI pioneer Moonshot is restructuring to secure

0:29:49.920 --> 0:29:52.120
<v Speaker 3>its path to public markets now. The developer of the

0:29:52.120 --> 0:29:55.440
<v Speaker 3>popular kidney chatbot has informed investors it will revamp its

0:29:55.440 --> 0:29:58.160
<v Speaker 3>corporate structure to comply with Beijing's rules and pave the

0:29:58.200 --> 0:30:01.440
<v Speaker 3>way for a highly anticipated Hong Kong ipo. Speaking of which,

0:30:01.640 --> 0:30:05.560
<v Speaker 3>Chinese robotics Unicorn Lingobot is exploring a Hong Kong ipo

0:30:05.680 --> 0:30:07.800
<v Speaker 3>that could launch as early as this year, and the

0:30:07.840 --> 0:30:11.160
<v Speaker 3>maker of highly dexterous robotic hands is targeting a six

0:30:11.160 --> 0:30:14.640
<v Speaker 3>billion dollar evaluation and counts Samsung ten Cent among its clients.

0:30:15.360 --> 0:30:21.320
<v Speaker 3>And China's demographic time clock is triggering an unprecedented automation boom.

0:30:21.560 --> 0:30:24.880
<v Speaker 3>A new report from Barkley's shows humanoid robots could offset

0:30:24.920 --> 0:30:27.480
<v Speaker 3>as much as sixty percent of that labor decline by

0:30:27.480 --> 0:30:29.360
<v Speaker 3>twenty thirty five, turning.

0:30:29.040 --> 0:30:32.080
<v Speaker 6>What is a structural crisis into a hardware gold rush.

0:30:32.440 --> 0:30:35.520
<v Speaker 2>Ed Coming up, we're going to go live from the

0:30:35.600 --> 0:30:38.480
<v Speaker 2>JP Morgan Tech Media and Communications Conference, and we'll hear

0:30:38.520 --> 0:30:42.320
<v Speaker 2>from Lori Beer, JP Morgan Global c Io that conversation.

0:30:42.440 --> 0:30:44.000
<v Speaker 4>Next this is Bloomberg Tech.

0:30:56.800 --> 0:30:59.400
<v Speaker 2>Let's get out to the JP Morgan Tech Media and

0:30:59.400 --> 0:31:03.120
<v Speaker 2>Communication Conference in Boston. Where Bloomberg Surveillance co host Lisa

0:31:03.240 --> 0:31:06.280
<v Speaker 2>Vonovitz is standing by Lisa.

0:31:07.760 --> 0:31:09.160
<v Speaker 6>Thank you so much. Ed.

0:31:09.240 --> 0:31:12.800
<v Speaker 15>I am here at a JP Morgan conference at four Technology,

0:31:12.840 --> 0:31:15.240
<v Speaker 15>Media and Communications, and I'm here with Lori Beer, the

0:31:15.320 --> 0:31:17.240
<v Speaker 15>chief information officer for JP Morgan.

0:31:17.280 --> 0:31:19.680
<v Speaker 6>Laurie, wonderful to speak with you. In many ways, you

0:31:19.760 --> 0:31:21.440
<v Speaker 6>are the woman of the moment.

0:31:21.440 --> 0:31:25.360
<v Speaker 15>Because you have to understand how to oversee change that

0:31:25.440 --> 0:31:27.680
<v Speaker 15>seems to be happening at an accelerating pace. Can you

0:31:27.680 --> 0:31:30.520
<v Speaker 15>give a sense of just how quickly it has accelerated

0:31:30.760 --> 0:31:33.400
<v Speaker 15>from say, six months ago, a year ago to right now.

0:31:33.720 --> 0:31:36.960
<v Speaker 16>Yeah, I think it's an amazing moment, first of all,

0:31:36.960 --> 0:31:39.560
<v Speaker 16>to be in technology and to be in financial services.

0:31:40.040 --> 0:31:42.080
<v Speaker 6>And we definitely saw the.

0:31:41.880 --> 0:31:45.120
<v Speaker 16>Gen one tools come out a couple of years ago.

0:31:45.600 --> 0:31:49.280
<v Speaker 16>The last six months have rapidly accelerated, not only new

0:31:49.320 --> 0:31:52.040
<v Speaker 16>models getting created, but how we're able to apply them.

0:31:52.400 --> 0:31:55.600
<v Speaker 6>And so it really ties back to how.

0:31:55.520 --> 0:31:57.800
<v Speaker 16>Do we think about driving and adapting.

0:31:57.400 --> 0:31:58.280
<v Speaker 6>Change so quickly?

0:31:58.600 --> 0:32:01.240
<v Speaker 15>Yeah, one thing is wered a lot of nervousness, a

0:32:01.240 --> 0:32:03.920
<v Speaker 15>lot of anxiety. There was a story that was out

0:32:03.920 --> 0:32:06.800
<v Speaker 15>this morning about Standard Charter CEO coming out and saying

0:32:06.800 --> 0:32:08.880
<v Speaker 15>they was going to cut fifty percent of staff support

0:32:08.960 --> 0:32:14.560
<v Speaker 15>staff and removing lower value human capital and replacing it

0:32:14.880 --> 0:32:18.640
<v Speaker 15>with AI tools and investment in AI. What's real what's

0:32:18.680 --> 0:32:20.280
<v Speaker 15>not when it comes to sort of the mass job

0:32:20.320 --> 0:32:21.520
<v Speaker 15>cause what's been your experience?

0:32:21.720 --> 0:32:26.240
<v Speaker 16>Yeah, So overall we've seen definitely productivity opportunities.

0:32:26.320 --> 0:32:27.200
<v Speaker 6>So even when we.

0:32:27.120 --> 0:32:30.880
<v Speaker 16>Think about technology, we've seen ten to twenty to thirty

0:32:30.920 --> 0:32:34.600
<v Speaker 16>percent improvement just from the initial generation one tools. As

0:32:34.640 --> 0:32:37.480
<v Speaker 16>you look to agentic you're going to see even more.

0:32:37.680 --> 0:32:38.840
<v Speaker 6>But there's a huge demand.

0:32:39.000 --> 0:32:42.120
<v Speaker 16>There's a huge demand to create new products and services

0:32:42.120 --> 0:32:45.440
<v Speaker 16>and experiences for our customers. We're using AI to figure

0:32:45.480 --> 0:32:48.680
<v Speaker 16>out new products to offer and frankly, when you think

0:32:48.720 --> 0:32:51.080
<v Speaker 16>about the other side of it, the AI is also

0:32:51.160 --> 0:32:54.240
<v Speaker 16>creating increased cybersecurity risks. So how do we think about

0:32:54.400 --> 0:32:59.680
<v Speaker 16>also the accelerating the investments to protect our customers and

0:32:59.720 --> 0:33:03.400
<v Speaker 16>client too. So the demand remains large, you know, significant,

0:33:03.400 --> 0:33:05.680
<v Speaker 16>and we're able to get a lot more done than

0:33:05.680 --> 0:33:09.680
<v Speaker 16>we have historically. How's very is mythos so with mythos

0:33:10.520 --> 0:33:14.800
<v Speaker 16>AI in general, but it's really good on both sides

0:33:14.800 --> 0:33:19.800
<v Speaker 16>of the equation. One to understand vulnerabilities and so the

0:33:20.200 --> 0:33:23.719
<v Speaker 16>key with that and any other AI is how do

0:33:23.760 --> 0:33:26.440
<v Speaker 16>we capture those, how do we clearing house those, how

0:33:26.440 --> 0:33:28.160
<v Speaker 16>do we update those in.

0:33:28.120 --> 0:33:30.680
<v Speaker 6>A safe and secure way. But on the other.

0:33:30.560 --> 0:33:33.080
<v Speaker 16>Side of this, as you apply these models into the

0:33:33.080 --> 0:33:36.680
<v Speaker 16>software development process, we're going to have safer and more

0:33:36.720 --> 0:33:37.720
<v Speaker 16>secure software.

0:33:37.920 --> 0:33:39.480
<v Speaker 6>On the flip side, or cyber.

0:33:39.200 --> 0:33:42.440
<v Speaker 16>Teams can use the power of these models to be

0:33:42.480 --> 0:33:47.280
<v Speaker 16>able to protect, defend, identify fraud, identify.

0:33:46.720 --> 0:33:47.960
<v Speaker 6>Issues more quickly.

0:33:48.240 --> 0:33:50.800
<v Speaker 16>So there's really two sides of this equation to think about.

0:33:50.920 --> 0:33:54.440
<v Speaker 15>Based on how quickly you see technology shifting and what

0:33:54.520 --> 0:33:57.200
<v Speaker 15>tools are really coming to the fore, how does the

0:33:57.240 --> 0:34:00.000
<v Speaker 15>mindset have to shift of the people who work for you.

0:34:00.120 --> 0:34:03.360
<v Speaker 16>Yeah, I think it's a great question. The technology is amazing.

0:34:03.680 --> 0:34:08.320
<v Speaker 16>I think this is truly a shift, a transformational shift

0:34:08.320 --> 0:34:11.720
<v Speaker 16>in technology where this is getting embedded and horizontally across

0:34:11.800 --> 0:34:14.040
<v Speaker 16>all layers of the stack. The harder part is the

0:34:14.120 --> 0:34:17.360
<v Speaker 16>change management in the leadership, and I think really thinking

0:34:17.400 --> 0:34:21.040
<v Speaker 16>about where are things going. We don't know all the answers,

0:34:21.080 --> 0:34:24.799
<v Speaker 16>so how do you navigate change in an uncertainty? It's

0:34:24.840 --> 0:34:28.120
<v Speaker 16>still very early innings, so it's really had to shift

0:34:28.200 --> 0:34:30.799
<v Speaker 16>from how do we help guide our teams, how do

0:34:30.840 --> 0:34:34.520
<v Speaker 16>we make sure our software engineers understand what's coming.

0:34:34.840 --> 0:34:36.000
<v Speaker 6>My management team.

0:34:35.840 --> 0:34:37.920
<v Speaker 16>Spends a lot of time on the weekends building their

0:34:37.960 --> 0:34:42.319
<v Speaker 16>own apps, pick your favorite coding adentic coding tool, but

0:34:42.400 --> 0:34:44.960
<v Speaker 16>it helps them understand what's coming. And I think this

0:34:45.040 --> 0:34:48.280
<v Speaker 16>is a moment where leaders, in addition to software engineers

0:34:48.320 --> 0:34:50.840
<v Speaker 16>truly have to understand the change. And we have to

0:34:50.960 --> 0:34:55.280
<v Speaker 16>understand how do we actually create an environment that allows

0:34:55.360 --> 0:34:59.279
<v Speaker 16>us to pivot and navigate when times are uncertain and

0:34:59.360 --> 0:35:01.279
<v Speaker 16>really make sure don't lose track.

0:35:01.080 --> 0:35:02.480
<v Speaker 6>Of what's really important.

0:35:02.880 --> 0:35:06.160
<v Speaker 16>How do we deliver products and services and experience.

0:35:05.800 --> 0:35:07.160
<v Speaker 6>From our customers and clients.

0:35:07.320 --> 0:35:11.400
<v Speaker 15>Howty balance innovation with risk and the idea of the

0:35:11.440 --> 0:35:13.840
<v Speaker 15>tried and true you need to do this project versus

0:35:13.960 --> 0:35:14.960
<v Speaker 15>moonshot projects.

0:35:15.120 --> 0:35:16.799
<v Speaker 16>Yeah, you know, I think this is one of the

0:35:16.800 --> 0:35:19.440
<v Speaker 16>most interesting times when you have to think about the

0:35:19.600 --> 0:35:22.600
<v Speaker 16>balance of innovation and risk taking. We wouldn't be in

0:35:22.719 --> 0:35:24.960
<v Speaker 16>business as long as we have been if we haven't

0:35:25.080 --> 0:35:27.920
<v Speaker 16>driven a lot of innovation historically. But we're also in

0:35:27.960 --> 0:35:30.719
<v Speaker 16>the business of managing risk, and so I think in

0:35:30.760 --> 0:35:34.359
<v Speaker 16>this moment you have to really think about going at

0:35:34.400 --> 0:35:37.279
<v Speaker 16>the appropriate speed of innovation. Some of these moonshots are

0:35:37.280 --> 0:35:41.880
<v Speaker 16>becoming real and so you have to move aggressively at

0:35:41.920 --> 0:35:42.920
<v Speaker 16>the innovation front.

0:35:43.160 --> 0:35:45.480
<v Speaker 6>But we obviously are a.

0:35:45.400 --> 0:35:47.520
<v Speaker 16>Business of trust, and we have to make sure our

0:35:47.520 --> 0:35:50.920
<v Speaker 16>customers are clients, the bank is protected every day, and

0:35:51.000 --> 0:35:54.680
<v Speaker 16>so finding this balance and actually again using these capabilities

0:35:54.719 --> 0:35:56.120
<v Speaker 16>to also protect ourselves.

0:35:56.280 --> 0:35:59.719
<v Speaker 6>And so it's this really interesting time while along with

0:35:59.760 --> 0:36:02.480
<v Speaker 6>that you don't necessarily know who's going to win in

0:36:02.520 --> 0:36:03.279
<v Speaker 6>the end, and.

0:36:03.280 --> 0:36:06.759
<v Speaker 16>So making sure we're not locking ourselves in to one

0:36:06.840 --> 0:36:13.960
<v Speaker 16>provider or one scenario and we're constantly sandboxing what's on

0:36:14.000 --> 0:36:15.200
<v Speaker 16>the horizon in the future.

0:36:15.880 --> 0:36:18.919
<v Speaker 15>Does it change your decision whether to build or buy

0:36:19.200 --> 0:36:21.480
<v Speaker 15>in terms of different software solutions.

0:36:21.560 --> 0:36:23.680
<v Speaker 16>You know, it's been interesting because over the last several

0:36:23.760 --> 0:36:27.760
<v Speaker 16>years we've made sure that we're really focusing our engineering community,

0:36:27.760 --> 0:36:30.200
<v Speaker 16>and we have a large engineering community on building the

0:36:30.280 --> 0:36:33.759
<v Speaker 16>things that are competitively differentiating and great value for our

0:36:33.760 --> 0:36:37.360
<v Speaker 16>customers and clients. And over time you have to balance

0:36:37.520 --> 0:36:41.359
<v Speaker 16>where that still makes a lot of sense and where

0:36:41.400 --> 0:36:44.920
<v Speaker 16>we focus our energy on those unique products and services

0:36:44.960 --> 0:36:48.200
<v Speaker 16>for our customers and clients. And so when you think

0:36:48.280 --> 0:36:50.840
<v Speaker 16>about the balance of trade and the fact that software

0:36:50.880 --> 0:36:55.160
<v Speaker 16>engineering overall is increasing in speed and it is more

0:36:55.160 --> 0:36:57.920
<v Speaker 16>cost effective when you look at the end to end

0:36:57.960 --> 0:37:02.000
<v Speaker 16>product development life cycle. You know, there are different trade

0:37:02.040 --> 0:37:05.640
<v Speaker 16>offs you would consider in making those build versus buy decisions,

0:37:06.000 --> 0:37:08.440
<v Speaker 16>but you're always going to have some of those, you know,

0:37:08.640 --> 0:37:14.480
<v Speaker 16>enterprise software solutions frankly that aren't competitively differentiated that sort

0:37:14.520 --> 0:37:17.680
<v Speaker 16>of help us run the bank without delivering those unique

0:37:17.680 --> 0:37:18.719
<v Speaker 16>products and services.

0:37:18.800 --> 0:37:19.880
<v Speaker 6>Just twenty seconds.

0:37:20.000 --> 0:37:21.040
<v Speaker 15>Do you think that we're going to be able to

0:37:21.080 --> 0:37:23.920
<v Speaker 15>recognize what banking looks like, say, in ten years.

0:37:24.000 --> 0:37:24.560
<v Speaker 6>I think we're.

0:37:24.440 --> 0:37:28.000
<v Speaker 16>Watching it transform as we speak right now. At the

0:37:28.120 --> 0:37:30.120
<v Speaker 16>end of the day, we have to maintain that trust

0:37:30.160 --> 0:37:32.319
<v Speaker 16>with customers and clients and we have to make sure

0:37:32.360 --> 0:37:34.799
<v Speaker 16>that their unique needs are served across the over one

0:37:34.840 --> 0:37:37.759
<v Speaker 16>hundred countries we operate in. But how we do it

0:37:37.800 --> 0:37:40.480
<v Speaker 16>and the products and services will absolutely evolve over the

0:37:40.480 --> 0:37:41.200
<v Speaker 16>next several years.

0:37:41.520 --> 0:37:45.000
<v Speaker 15>Caroline, that is Lori Beer, the chief information officer at

0:37:45.239 --> 0:37:46.000
<v Speaker 15>GENP Market.

0:37:46.040 --> 0:37:46.759
<v Speaker 6>I'll set it back to you.

0:37:47.160 --> 0:37:49.240
<v Speaker 3>What a great day, what a great set of interviews.

0:37:49.239 --> 0:37:52.400
<v Speaker 3>Thank you New Mexsavana's co hosting ROUMWA. It's there, and

0:37:52.680 --> 0:37:54.160
<v Speaker 3>we've got some bocking news in the meantime.

0:37:54.800 --> 0:37:57.240
<v Speaker 2>Yeah, it's some breaking news on the tunnel about Apple.

0:37:57.320 --> 0:38:02.719
<v Speaker 2>Apple chief hardware Officer Johnny Shreuji, reorganizing hardware development and

0:38:02.760 --> 0:38:07.000
<v Speaker 2>shifting oversight of key functions such as product design partner

0:38:07.080 --> 0:38:10.600
<v Speaker 2>effort to speed up work on future devices. Sources say

0:38:10.760 --> 0:38:13.960
<v Speaker 2>the hardware shakeup is also meant to better integrate teams

0:38:13.960 --> 0:38:17.800
<v Speaker 2>working on in house silicon with those that are creating products.

0:38:17.840 --> 0:38:20.160
<v Speaker 2>And of course Bloomberg's Mark Gum and the one carrier

0:38:20.160 --> 0:38:23.560
<v Speaker 2>that broke the story some other detailed Shelly Goldberg Dave

0:38:23.600 --> 0:38:26.759
<v Speaker 2>Pecula are now going to oversee product design. Maybe not

0:38:26.880 --> 0:38:30.279
<v Speaker 2>names as familiar to the Bloomberg Tech audience, but in

0:38:30.320 --> 0:38:32.520
<v Speaker 2>this new era for Apple, a lot of focus on

0:38:32.600 --> 0:38:34.680
<v Speaker 2>who's right at the top and running the show.

0:38:35.040 --> 0:38:37.960
<v Speaker 3>It will become known ed thanks mean while coming up, Look,

0:38:37.960 --> 0:38:40.240
<v Speaker 3>we're going to be speaking with Armada CEO Dan Wright

0:38:40.560 --> 0:38:42.439
<v Speaker 3>as the company raises to one of thirty million dollars

0:38:42.440 --> 0:38:44.919
<v Speaker 3>in a series be funding boosting his valuation to two

0:38:45.000 --> 0:38:48.800
<v Speaker 3>billion dollars, and some new strategic investors and big projects

0:38:48.800 --> 0:38:51.640
<v Speaker 3>for the hyperscaler for the Edge as a Bloomberg Tech.

0:38:58.320 --> 0:39:00.680
<v Speaker 4>Some more breaking news crossing the Blue terminal.

0:39:00.719 --> 0:39:04.680
<v Speaker 2>Open AI founding member Andre Carpaty says he's joined rival

0:39:05.080 --> 0:39:07.719
<v Speaker 2>and Thropic. In a post on x Carpappy says he

0:39:07.760 --> 0:39:10.319
<v Speaker 2>will be working on R and D with Anthropic and

0:39:10.360 --> 0:39:13.920
<v Speaker 2>be focused on helping train new AI models. Cope previously

0:39:13.960 --> 0:39:17.480
<v Speaker 2>helped lead the team behind Tesla's autopilot system before then

0:39:17.520 --> 0:39:20.520
<v Speaker 2>returning to Open Ai. He left the chat gp maker

0:39:20.760 --> 0:39:23.400
<v Speaker 2>for a second time last year and had launched a

0:39:23.440 --> 0:39:26.880
<v Speaker 2>startup focused on AI and education. In that post, carry

0:39:26.880 --> 0:39:29.719
<v Speaker 2>he says that he's still passionate about education plans to

0:39:29.719 --> 0:39:32.040
<v Speaker 2>resume his work on that, but in the market of

0:39:32.080 --> 0:39:34.680
<v Speaker 2>AI talent, this is a bit of a wow. This

0:39:34.719 --> 0:39:37.040
<v Speaker 2>is a big story that I didn't see coming breaking

0:39:37.080 --> 0:39:37.520
<v Speaker 2>this morning.

0:39:38.000 --> 0:39:40.359
<v Speaker 3>It certainly is. The wows keep coming. Meanwhile, let's talk

0:39:40.400 --> 0:39:43.160
<v Speaker 3>about a fundraise now. Amada has just raised two hundred

0:39:43.160 --> 0:39:46.360
<v Speaker 3>thirty million dollars in an oversubscribed Series B round, bosting

0:39:46.400 --> 0:39:48.279
<v Speaker 3>the company's valuation to a call two billion dollars. But

0:39:48.320 --> 0:39:50.880
<v Speaker 3>the company is also announcing a partnership with Johnson Controls

0:39:51.200 --> 0:39:54.919
<v Speaker 3>to produce modular data centers and they're at scale joining

0:39:55.000 --> 0:39:58.200
<v Speaker 3>us now. I'm oada CEO Dan Wright alsome modular data center?

0:39:58.239 --> 0:39:59.160
<v Speaker 3>How are we going to be making it?

0:39:59.600 --> 0:39:59.680
<v Speaker 4>Ye?

0:40:00.040 --> 0:40:02.120
<v Speaker 17>So much for having me on a modular data center

0:40:02.320 --> 0:40:06.400
<v Speaker 17>is a full stack AI factory that you can deploy anywhere,

0:40:06.800 --> 0:40:08.560
<v Speaker 17>and we can do it with the three s's. We

0:40:08.600 --> 0:40:11.399
<v Speaker 17>call it speed, scale, and sovereignty. You can deploy these

0:40:11.440 --> 0:40:15.000
<v Speaker 17>within weeks. You can scale up with demand versus traditional

0:40:15.040 --> 0:40:17.360
<v Speaker 17>data center sometimes you end up overbuilding or building the

0:40:17.360 --> 0:40:20.200
<v Speaker 17>wrong thing. And then modular data centers also have the

0:40:20.239 --> 0:40:22.600
<v Speaker 17>benefit that you can get sovereignty down to the site level.

0:40:22.600 --> 0:40:25.160
<v Speaker 17>People used to talk about data sovereignty in terms of countries,

0:40:25.520 --> 0:40:28.640
<v Speaker 17>but with increasingly sophisticated cyber attacks, now you want data

0:40:28.680 --> 0:40:29.759
<v Speaker 17>sovereignty at the site level.

0:40:31.600 --> 0:40:36.560
<v Speaker 2>This is all about speed, movement, building funding. This has

0:40:36.600 --> 0:40:38.680
<v Speaker 2>helps you move even quicker or what's the plan here?

0:40:39.400 --> 0:40:42.879
<v Speaker 17>Yeah, So this round was led by co ed by

0:40:43.000 --> 0:40:45.960
<v Speaker 17>Overmatch eighty ninety industries as well as black Rock, and

0:40:46.000 --> 0:40:48.640
<v Speaker 17>really what it allows us to do is scale up

0:40:48.680 --> 0:40:52.200
<v Speaker 17>to accelerate deployment of the USAI stack. As part of this,

0:40:52.320 --> 0:40:55.880
<v Speaker 17>we're also announcing a global agreement with John's Controls, where

0:40:55.920 --> 0:40:58.960
<v Speaker 17>starting with Galleon Forge one in Arizona, we're going to

0:40:58.960 --> 0:41:02.879
<v Speaker 17>do continuous manufacturing of these modular data centers. And if

0:41:02.880 --> 0:41:05.080
<v Speaker 17>you look at them, they kind of look like shipping containers,

0:41:05.080 --> 0:41:08.400
<v Speaker 17>so they're easily transportable anywhere in the world. You can

0:41:08.440 --> 0:41:11.360
<v Speaker 17>deploy them whereever you want. And the nice thing is

0:41:11.560 --> 0:41:14.560
<v Speaker 17>you can use any source of power, and that's obviously important.

0:41:14.800 --> 0:41:17.120
<v Speaker 17>Power is a big concerned when it comes to data centers.

0:41:17.280 --> 0:41:20.360
<v Speaker 17>Energy is distributed. We're saying compute should also be distributed.

0:41:20.960 --> 0:41:24.200
<v Speaker 3>Where's the demand coming from? Exactly who wants these?

0:41:25.280 --> 0:41:27.560
<v Speaker 17>Yeah, so energy companies. We're working with many of the

0:41:27.640 --> 0:41:30.440
<v Speaker 17>largest energy companies in the world. All of them have

0:41:30.520 --> 0:41:33.640
<v Speaker 17>a hard segregation between IT and OT, meaning that the

0:41:33.680 --> 0:41:35.640
<v Speaker 17>only way to do anything with AI is to deploy

0:41:35.680 --> 0:41:38.799
<v Speaker 17>the infrastructure on the rigs, on the refineries and run

0:41:38.840 --> 0:41:41.560
<v Speaker 17>those models behind the firewall at the edge. We're enabling that.

0:41:41.800 --> 0:41:43.799
<v Speaker 17>They're all trying to be fully autonomous over the next

0:41:43.800 --> 0:41:47.120
<v Speaker 17>few years. You need compute locally in order to enable that.

0:41:47.560 --> 0:41:50.399
<v Speaker 17>And then also defense is a huge driver for us.

0:41:50.880 --> 0:41:53.319
<v Speaker 17>For example, with the conflict in the Middle East. We

0:41:53.400 --> 0:41:54.920
<v Speaker 17>got a call from an ally. They said, hey, we

0:41:54.960 --> 0:41:57.040
<v Speaker 17>need one of these like immediately. We were able to

0:41:57.040 --> 0:41:59.359
<v Speaker 17>deploy within days. They called back said we need more.

0:41:59.360 --> 0:42:00.440
<v Speaker 7>We were able to share more.

0:42:00.280 --> 0:42:03.360
<v Speaker 3>Out and who your partners within this data center? I

0:42:03.360 --> 0:42:05.600
<v Speaker 3>can understand that you're helping with the construction of it all,

0:42:05.600 --> 0:42:06.879
<v Speaker 3>but still you need the chips from.

0:42:06.840 --> 0:42:08.240
<v Speaker 7>Someone, you need the service of someone.

0:42:08.400 --> 0:42:10.960
<v Speaker 3>How are you bringing this all together and how open

0:42:11.239 --> 0:42:12.680
<v Speaker 3>are you to different types of partners?

0:42:12.719 --> 0:42:15.160
<v Speaker 17>Well, well, I think that's actually part of the magic

0:42:15.200 --> 0:42:17.800
<v Speaker 17>of Armada is that we built this ecosystem of amazing

0:42:17.880 --> 0:42:20.840
<v Speaker 17>partners and it's kind of like, actually, what the hyperscalers did.

0:42:20.719 --> 0:42:21.759
<v Speaker 7>You know twenty years ago?

0:42:22.200 --> 0:42:24.719
<v Speaker 17>Is you're bringing all of these different services and you're

0:42:24.760 --> 0:42:27.880
<v Speaker 17>making them accessible to more people. That's what Armada is

0:42:27.920 --> 0:42:29.799
<v Speaker 17>doing for the edge is the Hyperscaler for the edge.

0:42:29.800 --> 0:42:31.800
<v Speaker 17>And a good example of this we just announced a

0:42:31.800 --> 0:42:36.840
<v Speaker 17>partnership recently with Microsoft to bring Foundry, bring Azure Local,

0:42:37.160 --> 0:42:39.960
<v Speaker 17>allow them to run these customers to run services that

0:42:39.960 --> 0:42:43.080
<v Speaker 17>they love from Microsoft models that they run from Microsoft

0:42:43.480 --> 0:42:44.680
<v Speaker 17>at the edge air Gap.

0:42:44.760 --> 0:42:45.120
<v Speaker 7>Same thing.

0:42:45.120 --> 0:42:47.759
<v Speaker 17>We announced a partnership with Opening Eye. We announced on

0:42:47.840 --> 0:42:52.680
<v Speaker 17>with Nvidia, Dell as well as Pallenteer bringing all those capabilities.

0:42:52.040 --> 0:42:52.520
<v Speaker 7>To the edge.

0:42:52.560 --> 0:42:54.520
<v Speaker 2>So Dan real quick. I was with Michael Dell and

0:42:54.560 --> 0:42:58.800
<v Speaker 2>jensmong yesterday. The bigger theme is on prem people want

0:42:58.840 --> 0:43:01.799
<v Speaker 2>at the edge facility close to them. Is that an

0:43:01.800 --> 0:43:03.880
<v Speaker 2>addressable market for you. We just have thirty seconds.

0:43:03.960 --> 0:43:04.759
<v Speaker 7>Yeah, absolutely.

0:43:04.800 --> 0:43:06.520
<v Speaker 17>I mean that's what I believe is going to happen,

0:43:06.600 --> 0:43:09.359
<v Speaker 17>is you're going to have sovereign AI factories. And really

0:43:09.360 --> 0:43:12.160
<v Speaker 17>what that means is that every country and every company

0:43:12.520 --> 0:43:15.279
<v Speaker 17>is going to have its own AI factory. And I

0:43:15.360 --> 0:43:18.120
<v Speaker 17>know that Michael and Jensen would agree with me on

0:43:18.160 --> 0:43:21.160
<v Speaker 17>that because they've been saying that publicly. And in order

0:43:21.200 --> 0:43:23.399
<v Speaker 17>to do that, you need both the chips, you need

0:43:23.400 --> 0:43:25.640
<v Speaker 17>the servers, and then you also need the infrastructure, and

0:43:25.640 --> 0:43:28.399
<v Speaker 17>that's what are enabling as the hyperscaler.

0:43:27.840 --> 0:43:28.520
<v Speaker 7>For the edge.

0:43:29.280 --> 0:43:32.200
<v Speaker 2>Then right, I'm out a CEO back on Bloomberg Tech

0:43:32.480 --> 0:43:34.279
<v Speaker 2>after a big fundraise. Great to have you back. Thank

0:43:34.320 --> 0:43:37.440
<v Speaker 2>you very much. That does it for this edition of

0:43:37.440 --> 0:43:38.399
<v Speaker 2>Bloomberg Tech Carrot.

0:43:38.719 --> 0:43:41.440
<v Speaker 3>Yeah, you don't want to forget to check out this podcast.

0:43:41.520 --> 0:43:42.440
<v Speaker 6>What a rich podcast.

0:43:42.480 --> 0:43:44.560
<v Speaker 3>We're going to be having all eyes as we build

0:43:44.600 --> 0:43:46.640
<v Speaker 3>up towards the videos earnings after the bal tomorrow.

0:43:46.640 --> 0:43:47.399
<v Speaker 7>You can find it on.

0:43:47.360 --> 0:43:49.799
<v Speaker 3>The terminal as well as online on Apple, Spotify and

0:43:49.880 --> 0:43:53.239
<v Speaker 3>iHeart ed still a phenomenal interview from yesterday as well.

0:43:54.160 --> 0:43:57.239
<v Speaker 2>Yeah, and you know the market is waiting anticipation for

0:43:57.280 --> 0:44:01.640
<v Speaker 2>the Nvidia Print Wednesday night post melt up in chip stocks.

0:44:02.040 --> 0:44:06.600
<v Speaker 4>Wow, this is Bloomberg Tech. H