WEBVTT - OpenAI’s COO Lightcap Talks GPT-5 Launch

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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 Vla Loow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech.

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<v Speaker 3>Coming up, Open Ai releases GPT five. We'll discuss how

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<v Speaker 3>the rollout is going in the enterprise opportunity with Open

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<v Speaker 3>Ai COO Brad Lightcap, plus the race for AI data centers.

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<v Speaker 3>It heats up with Softbak making moves in Ohio, while

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<v Speaker 3>Meto announces financing for its expansion in Louisiana. And we

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<v Speaker 3>keep on these tech earnings. We'll speak with CEOs and Twilio,

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<v Speaker 3>Chime and Acami. The first we return to the public markets.

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<v Speaker 3>We're a new record high for the Nasdaq one hundred,

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<v Speaker 3>so we managed to push on higher, but I'm looking

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<v Speaker 3>at individual stocks that help contribute to the moves. Tesla

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<v Speaker 3>actually a decent points perspective higher.

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<v Speaker 2>We're up three point three percent.

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<v Speaker 3>Breaking news come Foring one and only Ed Ludlow about

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<v Speaker 3>Dojo the future of the supercomputer. Shares actually managed to

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<v Speaker 3>take high, even though we see that they're wrapping that

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<v Speaker 3>down focusing more on using third parties. We'll get to

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<v Speaker 3>that story a little bit later. I'm looking at Intel

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<v Speaker 3>off by two ten percent. Have been trading higher on

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<v Speaker 3>the pushback from the CEO saying he has committed the

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<v Speaker 3>US and National Security. Will get to that in a

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<v Speaker 3>moment as well, But first we want to really dive

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<v Speaker 3>into the world.

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<v Speaker 2>Of data centers.

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<v Speaker 3>SoftBank taking ownership of fox Conn's EV plant in Ohio

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<v Speaker 3>in order to kick SAT, the Japanese company's five hundred

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<v Speaker 3>billion dollar Stargate data center project with open Ai and Oracle.

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<v Speaker 3>Bloomberg's Peter Elstrom joins us for Ashleson reporting that Ed

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<v Speaker 3>Ludlow was really driving before he got on his flight

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<v Speaker 3>to the United Kingdom. Peter, it's an interesting deal. Basically

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<v Speaker 3>soft Bank kind of wanting to get fox Conn more

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<v Speaker 3>integrated with its manufacturing part of this.

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<v Speaker 4>Yeah, this is kind of a mysterious deal. So fox

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<v Speaker 4>Cohn made this announcement a couple days ago. They said

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<v Speaker 4>they were selling this facility to an entity called Crescent Dune,

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<v Speaker 4>that nobody knew who it was. So we've discovered that

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<v Speaker 4>in fact, at SoftBank they had been partners in the past.

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<v Speaker 4>Soft Bank is going to own the facility, and then

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<v Speaker 4>soft Bank and fox Con together are going to work

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<v Speaker 4>on these AI developments. They're probably going to build AI

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<v Speaker 4>servers in that plant to be able to use throughout

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<v Speaker 4>the Stargate venture that they're supposed to be building in

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<v Speaker 4>the US. As we've talked about a few times before,

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<v Speaker 4>open Ai and soft Bank announced that Stargate venture with

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<v Speaker 4>President Trump alongside them, talking about spending one hundred billion

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<v Speaker 4>dollars immediately at the beginning of the year or five

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<v Speaker 4>hundred billion dollars over the long term. But it's been

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<v Speaker 4>kind of slow to roll out in a number of

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<v Speaker 4>different cases. So this deal is aimed at giving them

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<v Speaker 4>a bit of a kickstart so they can move ahead

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<v Speaker 4>with some of those projects, be able to build the

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<v Speaker 4>AI servers, and then actually be able to build the

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<v Speaker 4>data centers over the long term.

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<v Speaker 3>It's interesting this pivot from a US macro perspective from

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<v Speaker 3>evs into AI data centers. But open ai has really

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<v Speaker 3>been pushing had almost on its own hair. It's been

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<v Speaker 3>going into Norway for its infrastructure, has been going to

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<v Speaker 3>the Middle East and in the United States with Oracle

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<v Speaker 3>and almost leaving well it felt like soft Bank behind

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<v Speaker 3>in EMO right.

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<v Speaker 4>Open Ai has a lot of power here to be

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<v Speaker 4>able to pick their partners, as we've talked about before. Also,

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<v Speaker 4>they are building this big data center in Avelene, Texas

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<v Speaker 4>that's been going quite well, quite aggressively. Open Ai course

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<v Speaker 4>was very closely affiliated with Microsoft in the early days.

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<v Speaker 4>It put in a bunch of money early on. It

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<v Speaker 4>had been kind of their cloud computing supportive partner for

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<v Speaker 4>a long period of time. Now they've also talked about

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<v Speaker 4>working with soft Bank Oracles. They're hurt too, so they're

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<v Speaker 4>sort of choosing their dance partners as it suits their need.

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<v Speaker 4>At this point, soft Bank, of course wants to be

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<v Speaker 4>able to move more aggressively into the AI field. Soft

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<v Speaker 4>Bank shares are actually on a tear right now. They're

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<v Speaker 4>an all time high. Masieo she Son is certainly getting

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<v Speaker 4>a bit of a tailwind because they put that money

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<v Speaker 4>into Open Ai at a lower valuation. Now they've been

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<v Speaker 4>able to ride that up quite a bit. So I

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<v Speaker 4>think there is some optimism that SoftBank is getting its

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<v Speaker 4>footing here, is being able to make some progress in

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<v Speaker 4>the AI feel bit Masio Sisnis wanted for.

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<v Speaker 5>A long time.

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<v Speaker 3>Great context. Peter Elstrom, we thank you so much. And look,

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<v Speaker 3>speaking of Stargate tune in later this hour for an

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<v Speaker 3>interview with the Open AI COO Brad Lightcap on GPT.

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<v Speaker 2>Five and much more.

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<v Speaker 3>But in more data center news, it keeps on coming.

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<v Speaker 3>Meta has announced financing for a twenty nine billion dollar

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<v Speaker 3>data center expansion in rural Louisiana. Now it's actually selected

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<v Speaker 3>Pimco and Blue Out Capital to lead theb in equity

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<v Speaker 3>financing here.

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<v Speaker 2>That's all according to sources.

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<v Speaker 3>Representatives of these three companies actually declined to comment. Let's

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<v Speaker 3>get back to also elsewhere in chips Intel, the saga continues.

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<v Speaker 3>After the US President, of course, called for at CEO's

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<v Speaker 3>resignation over conflicts of interest, Intel CEO lit Bhutan replied

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<v Speaker 3>in a letter to staff posted on the company's website,

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<v Speaker 3>where he says he got the full backing of the

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<v Speaker 3>board and what they are working on with the administration

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<v Speaker 3>to quote ensure they have the facts. Mags in King

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<v Speaker 3>rings us with more facts. What does he think there

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<v Speaker 3>is misinformation about Ian?

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<v Speaker 6>Yeah, I mean we saw that the Trump social media posting,

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<v Speaker 6>and this came on the back of what a senator

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<v Speaker 6>had done and sending a letter to Intel's chairman saying, hey, look,

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<v Speaker 6>all of these things have happened in Bhutan's past. Are

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<v Speaker 6>we sure he's the right person to be running Intel?

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<v Speaker 6>And there was a lot of sort of cluging of

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<v Speaker 6>facts together and in accusations made, which the President then

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<v Speaker 6>responded to, and finally late last night we had Lib

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<v Speaker 6>Bhutan directly addressing that and saying, look, there's a lot

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<v Speaker 6>of misinformation out there. You know, we look at the

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<v Speaker 6>facts and don't worry. I'm still going to be the

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<v Speaker 6>CEO of Intel, and I've got the boards backing.

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<v Speaker 3>Yeah, he's concerned about his past roles at Walden International

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<v Speaker 3>venture capital firm that does make bets in China and

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<v Speaker 3>based in Singapore. Is a founder of it. Also Kina's

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<v Speaker 3>Design Systems, which was CEO.

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<v Speaker 2>Of This sort of should have been known.

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<v Speaker 3>He was on the board of Intel for a long

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<v Speaker 3>time himself well known. What do you think this means

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<v Speaker 3>for their manufacturing presence in the United States? Because I

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<v Speaker 3>almost got a hint that maybe he is reing committing

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<v Speaker 3>to that here.

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<v Speaker 6>Yeah, I mean, this is arguably I mean, first of all,

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<v Speaker 6>there was nothing new about these accusations against him. Twenty

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<v Speaker 6>twenty three we had the House Committee looking into this,

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<v Speaker 6>so nothing really new here, But You're right. Perhaps the

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<v Speaker 6>trigger point had come a week earlier during earnings when

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<v Speaker 6>they discussed the possibility of not moving forward with the

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<v Speaker 6>latest manufacturing technology, of cutting back on spending, maybe not

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<v Speaker 6>building Ohio, maybe not building other plants. And this is

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<v Speaker 6>not what the Trump administration wants to hear when they

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<v Speaker 6>want to be talking about what we're bringing to America

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<v Speaker 6>and what we're doing as soft Bank has just played

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<v Speaker 6>too with the news that we broke there, So it

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<v Speaker 6>was a kind of counternews cycle there that they didn't

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<v Speaker 6>really think they were more perhaps talking about what investors

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<v Speaker 6>wanted to hear, which is we're going to get back

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<v Speaker 6>to profitability quicker, we're going to spend less, and that

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<v Speaker 6>kind of unfortunately appears to have blown up on them

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<v Speaker 6>in the political arena and they had to sort of

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<v Speaker 6>address that late last night in king.

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<v Speaker 3>I'm sure the story will continue, Thank you very much. Now,

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<v Speaker 3>let's bring in an investor perspective. Kim Forrest going to

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<v Speaker 3>break this all down. Your chief investment officer are Boca

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<v Speaker 3>Capital Partners.

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<v Speaker 2>You do have exposure to Intel.

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<v Speaker 3>I'm interested in your perspective on what they now need

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<v Speaker 3>to do in terms of turning the narrative.

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<v Speaker 7>Sure, well, this is just kind of a distraction the

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<v Speaker 7>whole CEO thing he's in. I'm sure the board thoroughly

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<v Speaker 7>looked at him, so I'm going to move on from that.

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<v Speaker 7>But he is there because the last several CEOs have

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<v Speaker 7>just kind of worn down the bright shining starre that

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<v Speaker 7>is Intel, and he is trying to find his way

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<v Speaker 7>and trying to find where Intel should play. And I

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<v Speaker 7>think it's pretty clear that he's looking at what they

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<v Speaker 7>can do right now. And let's just say they're not

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<v Speaker 7>up to the task of making a Blackwell competitor, but

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<v Speaker 7>they do have some good technologies that are used in AI,

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<v Speaker 7>mostly around packaging. And if I can feel your eyes

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<v Speaker 7>glazing over, don't do that, because packaging is the thing

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<v Speaker 7>that makes really low, you know, small scale chips work

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<v Speaker 7>because you have to make sure the electrons are staying

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<v Speaker 7>where they're supposed to be going.

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<v Speaker 8>So packaging is a big thing.

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<v Speaker 7>But he has a very large task ahead of him

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<v Speaker 7>of making Intel relevant because let's say it's been drifting

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<v Speaker 7>off for the past ten years.

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<v Speaker 3>Our eyes glazing over about parts of ship making never Kim,

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<v Speaker 3>I am interested though more broadly about Therefore, this overwhelming

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<v Speaker 3>drive towards data center capacity and what that does for

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<v Speaker 3>tailwinds for the chip makers that you look at that

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<v Speaker 3>we had a This week has been a long one

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<v Speaker 3>in the world of chips. You've got AMD numbers which

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<v Speaker 3>are still showing growth, it's not quite at the pace

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<v Speaker 3>that people wanted to see. You've also had, of cause,

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<v Speaker 3>this threat of one hundred percent tariffs on semiconductors coming

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<v Speaker 3>into the United States, but then huge carve outs. Where

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<v Speaker 3>do we focus attention when you want exposure to the sector?

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<v Speaker 7>Well, I would have to unbelievably agree that AI is

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<v Speaker 7>the thing that's driving it forward now, and it's a

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<v Speaker 7>very narrow slice of AI. We're talking about the data center.

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<v Speaker 7>What I'm really interested in is, yes, we're going to

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<v Speaker 7>have large language models, large reasoning models. I'm much more

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<v Speaker 7>interested in smaller models that companies are going to actually

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<v Speaker 7>use to become more productive. The large language models are

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<v Speaker 7>getting all the love, but I'm not sure that they

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<v Speaker 7>generate quite enough interest in direct measurable productivity.

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<v Speaker 5>Right.

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<v Speaker 7>They're being played around with at this point, But that's

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<v Speaker 7>where all the money's going into, is building data centers

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<v Speaker 7>that support large language and large reasoning models.

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<v Speaker 5>Will that go on for ever?

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<v Speaker 9>Know.

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<v Speaker 7>I think what's more interesting is the further we get

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<v Speaker 7>away from the data centers out to where the information

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<v Speaker 7>is going to be used. That's when more companies are

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<v Speaker 7>going to be involved in tel may have its place

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<v Speaker 7>out there, because what we really want are not necessarily

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<v Speaker 7>walking around robots, but robots that do things that are

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<v Speaker 7>under the control of the data center kind of computing.

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<v Speaker 7>So that is a very complicated world, and more semiconductors

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<v Speaker 7>are going to be needed.

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<v Speaker 2>Okay, so spread that love a little bit.

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<v Speaker 3>It's so interesting that this comes hot on the heels

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<v Speaker 3>of the scoop from Ludlow talking.

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<v Speaker 2>About how Teser itself is riding down.

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<v Speaker 3>It's focused on hardware and it's own chip making with

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<v Speaker 3>Dojo Supercomputer and looking to others to provide the hardware

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<v Speaker 3>going forward, more reliant.

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<v Speaker 2>On video and on Samsung kim.

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<v Speaker 3>Where else do we like then, other than all eyes

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<v Speaker 3>on in video and MD to a certain extent.

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<v Speaker 7>Well, I really love Micron, and because for many reasons,

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<v Speaker 7>Micron has the hot dram that goes on the Blackwell

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<v Speaker 7>chip and probably on AMD's chip, and that's memory that's

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<v Speaker 7>going to move data in and out of a chip, right,

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<v Speaker 7>So that's thing one. But thing two is we are

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<v Speaker 7>generating so much information and it's not on spinning discs anymore.

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<v Speaker 7>It's more on nand chips. So I love that area.

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<v Speaker 7>I think it's an unloved area and really unexplored. So

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<v Speaker 7>I think we could never underestimate the amount of storage

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<v Speaker 7>that AI uses and how much we're going to have

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<v Speaker 7>to store just to you know, get that data that

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<v Speaker 7>we want to have looked at by AI. Has to

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<v Speaker 7>live somewhere. I'm thinking against nand devices.

0:11:47.360 --> 0:11:50.240
<v Speaker 3>Micron currently up about five percent on the day. Also,

0:11:50.320 --> 0:11:52.360
<v Speaker 3>of course t SMC we're putting that twenty six percent

0:11:52.400 --> 0:11:53.959
<v Speaker 3>growth of a month of July. We're just on a

0:11:54.000 --> 0:11:56.839
<v Speaker 3>tear in many areas. Kim Forest of Boka Capital Partners.

0:11:56.880 --> 0:11:59.120
<v Speaker 3>It's always great to check in with you. Happy weekend.

0:11:59.480 --> 0:12:01.360
<v Speaker 3>Now coming out, we're going to take a look at Twilio.

0:12:01.760 --> 0:12:04.440
<v Speaker 3>Look at the shares currently off by eighteen percent. They

0:12:04.480 --> 0:12:06.880
<v Speaker 3>reported earnings yesterday. We go deep with the CEO.

0:12:07.559 --> 0:12:08.480
<v Speaker 2>This is Bloomberg Tech.

0:12:15.720 --> 0:12:19.160
<v Speaker 3>Let's talk about cloud communications platform Twilio reporting earnings after

0:12:19.200 --> 0:12:22.320
<v Speaker 3>the market closed yesterday. The report showed an acceleration in

0:12:22.360 --> 0:12:25.320
<v Speaker 3>revenue growth that the company's gross margin earnings for share

0:12:25.480 --> 0:12:27.680
<v Speaker 3>do seem to be a concern to some analysts. Let's

0:12:27.679 --> 0:12:31.600
<v Speaker 3>bring in Twilio CEO Couzema, Ship Chandler joining us. Now

0:12:31.800 --> 0:12:33.680
<v Speaker 3>I'm looking at your shares, they are down a lot.

0:12:33.880 --> 0:12:36.520
<v Speaker 3>Just give your perspective on the gross margin.

0:12:38.040 --> 0:12:41.079
<v Speaker 10>Well, I would say, in general, we delivered a solid quarter.

0:12:41.120 --> 0:12:44.760
<v Speaker 10>I mean it was a quarter of accelerated growth, record

0:12:44.840 --> 0:12:49.000
<v Speaker 10>non gap income from operations, free cash flow. And I

0:12:49.040 --> 0:12:51.280
<v Speaker 10>think what we're finding is is that at a time

0:12:51.280 --> 0:12:55.280
<v Speaker 10>when AI is kind of this generational opportunity, we're finding

0:12:55.320 --> 0:12:58.280
<v Speaker 10>some of those tailwinds get ascribed to Twilio. I understand

0:12:58.280 --> 0:13:01.640
<v Speaker 10>the gross margin dynamic. It's not necessarily a new phenomenon

0:13:02.120 --> 0:13:05.319
<v Speaker 10>for Twilio, but it hasn't impeded our ability to get

0:13:05.400 --> 0:13:10.000
<v Speaker 10>after operating profits and generate free cash. Importantly, on free

0:13:10.000 --> 0:13:12.000
<v Speaker 10>cash we raised our guidance for the year and so

0:13:12.040 --> 0:13:13.640
<v Speaker 10>we feel pretty good about the outlook.

0:13:14.040 --> 0:13:17.240
<v Speaker 3>So for now, is the opportunity more on growth and

0:13:17.280 --> 0:13:19.600
<v Speaker 3>revenue and the AI tailwinds.

0:13:19.200 --> 0:13:19.720
<v Speaker 2>As you call it.

0:13:19.720 --> 0:13:22.720
<v Speaker 3>Because Jefferies, for example, putting out saying there are big

0:13:22.760 --> 0:13:25.760
<v Speaker 3>hopes you're going to be a big beneficiary of AI, adoption.

0:13:26.400 --> 0:13:28.760
<v Speaker 3>How is that playing out for you, because many now

0:13:28.800 --> 0:13:29.880
<v Speaker 3>potentially question it.

0:13:31.240 --> 0:13:33.520
<v Speaker 10>Yeah, I do think we'll be a big beneficiary of AI.

0:13:33.800 --> 0:13:36.200
<v Speaker 10>What I don't want folks to take away from the

0:13:36.240 --> 0:13:40.160
<v Speaker 10>print is that somehow we're returning to kind of growth

0:13:40.160 --> 0:13:43.120
<v Speaker 10>at all costs dynamic. I think quite the contrary. We're

0:13:43.200 --> 0:13:46.000
<v Speaker 10>running the company with as much focus and discipline as

0:13:46.000 --> 0:13:48.240
<v Speaker 10>we ever have. We happen to be at a time

0:13:48.320 --> 0:13:51.280
<v Speaker 10>in which, number one, we're able to take share for

0:13:51.800 --> 0:13:54.079
<v Speaker 10>a number of our competitors, and we're doing that in

0:13:54.120 --> 0:13:56.960
<v Speaker 10>a price disciplined way. And I think the second thing

0:13:57.120 --> 0:14:00.800
<v Speaker 10>is is that given that the AI is a generation opportunity,

0:14:01.160 --> 0:14:03.600
<v Speaker 10>we do see an opportunity as well to make some

0:14:03.640 --> 0:14:07.160
<v Speaker 10>short term investments that we think will drive some medium

0:14:07.200 --> 0:14:09.439
<v Speaker 10>term benefits. And I think that's the right thing to do,

0:14:09.559 --> 0:14:12.680
<v Speaker 10>and so I'm not fixated on a particular quarter. I

0:14:12.679 --> 0:14:15.920
<v Speaker 10>think over the course of time that'll play out in

0:14:15.960 --> 0:14:18.720
<v Speaker 10>our favor and certainly be a good thing for investors.

0:14:19.080 --> 0:14:22.640
<v Speaker 3>What is that investment? Then, you detailed or platform vision

0:14:22.840 --> 0:14:26.800
<v Speaker 3>almost in signal your event you're thinking about audio in particular,

0:14:26.880 --> 0:14:28.880
<v Speaker 3>I mean you are the way in which I communicate

0:14:28.920 --> 0:14:31.480
<v Speaker 3>with LIFT or with any app and many as ways

0:14:31.480 --> 0:14:32.760
<v Speaker 3>that's going to move to voice.

0:14:33.160 --> 0:14:36.040
<v Speaker 2>Do you make acquisitions therefore, I.

0:14:35.960 --> 0:14:38.440
<v Speaker 10>Think acquisitions are something that we think about. I wouldn't

0:14:38.480 --> 0:14:41.160
<v Speaker 10>necessarily read anything into that. I mean, we obviously have

0:14:41.240 --> 0:14:43.960
<v Speaker 10>some flexibility in terms of what we can do with

0:14:44.000 --> 0:14:46.680
<v Speaker 10>our capital. But I think more importantly the investment in

0:14:46.720 --> 0:14:50.280
<v Speaker 10>the short term is around voice AI for example. I

0:14:50.320 --> 0:14:54.479
<v Speaker 10>mean voice AI is where so many different AI startups

0:14:55.000 --> 0:14:56.880
<v Speaker 10>are really launching right. I mean, a lot of these

0:14:56.960 --> 0:15:00.320
<v Speaker 10>use cases that you see are voice based. We have

0:15:00.360 --> 0:15:05.680
<v Speaker 10>the benefit of delivering incredible voice infrastructure that startups can

0:15:05.720 --> 0:15:08.320
<v Speaker 10>get going with almost immediately. That's kind of on the

0:15:08.360 --> 0:15:10.640
<v Speaker 10>low end, and then on the high end, you know,

0:15:10.720 --> 0:15:15.720
<v Speaker 10>there are fully orchestrated experiences that we drive, combining our

0:15:15.720 --> 0:15:20.520
<v Speaker 10>communications capabilities across a number of channels, utilizing data as

0:15:20.600 --> 0:15:25.440
<v Speaker 10>well as utilizing AI, plugging into all manner of different lms,

0:15:25.480 --> 0:15:27.480
<v Speaker 10>and I think that's going to be exciting for us

0:15:27.480 --> 0:15:31.239
<v Speaker 10>from a growth standpoint, and it's going to drive profitability

0:15:31.240 --> 0:15:32.200
<v Speaker 10>and cash over time.

0:15:32.520 --> 0:15:36.400
<v Speaker 3>I'm looking at your one year share price move, it's

0:15:36.440 --> 0:15:40.000
<v Speaker 3>up sixty three percent, so that puts what today's move

0:15:40.520 --> 0:15:43.720
<v Speaker 3>is in perspective. Because aim but you talk about making

0:15:43.720 --> 0:15:48.040
<v Speaker 3>perhaps your acquisition yourself, or having the flexibility to do so.

0:15:48.080 --> 0:15:51.120
<v Speaker 3>Someone as are saying that maybe you're a target. Have

0:15:51.240 --> 0:15:53.360
<v Speaker 3>you had any inbound would you ever consider that?

0:15:54.520 --> 0:15:56.520
<v Speaker 10>I mean, I wouldn't comment on on M and A

0:15:56.680 --> 0:15:58.560
<v Speaker 10>one way or the other. I think we're always going

0:15:58.560 --> 0:16:01.440
<v Speaker 10>to do things that are in the best interests of

0:16:01.440 --> 0:16:04.480
<v Speaker 10>our share owners. I can tell you with conviction that

0:16:05.080 --> 0:16:08.320
<v Speaker 10>we're very focused on running a great business. We think

0:16:08.360 --> 0:16:11.640
<v Speaker 10>that we have all of the necessary ingredients to create

0:16:11.720 --> 0:16:15.440
<v Speaker 10>tremendous value for our customers. And as you alluded to

0:16:15.480 --> 0:16:18.160
<v Speaker 10>a moment ago, over the last year or so, we've

0:16:18.200 --> 0:16:23.000
<v Speaker 10>shown that we can demonstrate focus, discipline, operating rigor in

0:16:23.040 --> 0:16:26.440
<v Speaker 10>the way that we're running the company. Investors have benefited

0:16:26.560 --> 0:16:30.280
<v Speaker 10>from those attributes. And again I don't get fixated on

0:16:30.320 --> 0:16:34.000
<v Speaker 10>a particular quarter. I think over periods of time this

0:16:34.040 --> 0:16:36.360
<v Speaker 10>is going to play out very much in investors favor,

0:16:36.400 --> 0:16:38.600
<v Speaker 10>and I think they're going to read really substantial benefits.

0:16:38.960 --> 0:16:42.480
<v Speaker 3>And where are your opportunities for new wins? In particular,

0:16:42.520 --> 0:16:44.480
<v Speaker 3>when you're getting new customers on because of the voice

0:16:44.480 --> 0:16:47.440
<v Speaker 3>offerings and the communication offerings, is it geographical in nature

0:16:47.480 --> 0:16:48.800
<v Speaker 3>that you look around for expansion.

0:16:50.360 --> 0:16:53.400
<v Speaker 10>I think there are international opportunities, no doubt, but I

0:16:53.440 --> 0:16:56.320
<v Speaker 10>would say in the near term. You know, what's really

0:16:56.320 --> 0:16:58.640
<v Speaker 10>starting to happen is we're We've always kind of been

0:16:58.760 --> 0:17:01.840
<v Speaker 10>like a product led growth company, and so the vast

0:17:01.920 --> 0:17:05.200
<v Speaker 10>majority of our customers, they're actually self starters. They come

0:17:05.200 --> 0:17:09.280
<v Speaker 10>to our console, they get going, they love the usability

0:17:09.320 --> 0:17:13.919
<v Speaker 10>and the features that are our platform gives them, and

0:17:13.960 --> 0:17:16.080
<v Speaker 10>so that's really the way that people get started. So

0:17:16.080 --> 0:17:19.560
<v Speaker 10>we've been putting investment into that making as simple as

0:17:19.600 --> 0:17:23.080
<v Speaker 10>possible for our customers to get going, and right now,

0:17:23.119 --> 0:17:25.720
<v Speaker 10>at least in the immediate term, that's really played out

0:17:25.760 --> 0:17:29.080
<v Speaker 10>with respect to voice AI. Again, so many different voice

0:17:29.119 --> 0:17:32.399
<v Speaker 10>AI companies that are launching they're choosing Twilio. We're the

0:17:32.440 --> 0:17:35.320
<v Speaker 10>best known brand in the space for super simple and

0:17:35.400 --> 0:17:38.120
<v Speaker 10>easy to use, and there's a ton of value that

0:17:38.160 --> 0:17:40.760
<v Speaker 10>our customers can get out of that opportunity. On the

0:17:40.880 --> 0:17:43.719
<v Speaker 10>enterprise side, I do think what we're finding is is

0:17:43.760 --> 0:17:48.040
<v Speaker 10>that they want the kind of broader offering. Right they

0:17:48.080 --> 0:17:50.800
<v Speaker 10>want our communications capabilities, but they also want to use

0:17:50.880 --> 0:17:53.520
<v Speaker 10>data and they want to plug in the LMS that

0:17:53.520 --> 0:17:56.800
<v Speaker 10>they're excited about to be able to drive both cost

0:17:57.000 --> 0:17:59.000
<v Speaker 10>and revenue opportunities.

0:17:58.400 --> 0:18:01.399
<v Speaker 3>Because aymanship Chandla Vilios a year. We thank you so

0:18:01.480 --> 0:18:04.160
<v Speaker 3>much for your time today after the earnings and coming

0:18:04.240 --> 0:18:06.879
<v Speaker 3>up more of them more earnings. Chime releases this in

0:18:06.960 --> 0:18:10.600
<v Speaker 3>orgeral reporters. A public company and investors a little disappointed.

0:18:10.720 --> 0:18:18.919
<v Speaker 2>This is a blue bag tech. Chime It put out.

0:18:18.840 --> 0:18:21.960
<v Speaker 3>Its first earning report since going public two months ago.

0:18:22.240 --> 0:18:25.399
<v Speaker 3>Revenue for the fintech company was strong, but customer growth

0:18:25.440 --> 0:18:28.200
<v Speaker 3>it failed to reach the top end of expectations. Let's

0:18:28.200 --> 0:18:31.840
<v Speaker 3>talk it through. Chime CEO Chris Spritt is with us. Chris,

0:18:32.119 --> 0:18:35.280
<v Speaker 3>solid thirty percent revenue growth. You've got gross margin of

0:18:35.280 --> 0:18:37.120
<v Speaker 3>eighty seven percent, but it seems to be this growth

0:18:37.119 --> 0:18:39.840
<v Speaker 3>in active members twenty three percent that just failed to

0:18:39.880 --> 0:18:41.680
<v Speaker 3>meet the bar for some What do you make of it?

0:18:42.480 --> 0:18:44.240
<v Speaker 8>Well, thanks for having me. It's great to be here.

0:18:44.280 --> 0:18:47.280
<v Speaker 9>I'm so proud to be reporting on an awesome Q

0:18:47.359 --> 0:18:49.600
<v Speaker 9>one that we've had our Q two in our first

0:18:49.760 --> 0:18:53.280
<v Speaker 9>quarter as a public company, and being on the show

0:18:53.359 --> 0:18:57.199
<v Speaker 9>to share more. We had a great quarter. We like

0:18:57.240 --> 0:19:00.720
<v Speaker 9>you said, we beat consensus on that top line. We

0:19:00.760 --> 0:19:05.480
<v Speaker 9>grew thirty seven percent. We saw outsized results exceeding expectation

0:19:05.560 --> 0:19:09.879
<v Speaker 9>across the board on growth of on the revenue side,

0:19:10.320 --> 0:19:15.359
<v Speaker 9>active member growth, and our success on adjusted EBITA, and

0:19:15.400 --> 0:19:18.919
<v Speaker 9>we raised our expectations for the year as well on

0:19:18.960 --> 0:19:21.600
<v Speaker 9>the call as it relates to the active member growth.

0:19:23.080 --> 0:19:24.840
<v Speaker 9>You know, it was a great quarter for us. I

0:19:24.880 --> 0:19:28.520
<v Speaker 9>think naturally as a new company, new issuance, I think

0:19:28.680 --> 0:19:31.439
<v Speaker 9>investors are just starting to understand the nuances of our

0:19:31.480 --> 0:19:34.360
<v Speaker 9>business a bit, and we do have a seasonal business,

0:19:34.400 --> 0:19:38.840
<v Speaker 9>so on a quarter to quarter basis, sequentially, the growth

0:19:39.119 --> 0:19:41.639
<v Speaker 9>for people that maybe don't understand the seasonality the business

0:19:41.720 --> 0:19:44.040
<v Speaker 9>might have been disappointing. But the way that you really

0:19:44.080 --> 0:19:46.520
<v Speaker 9>need to look at the business is how we're growing

0:19:46.520 --> 0:19:48.880
<v Speaker 9>on a year over year basis. So in Q one

0:19:48.920 --> 0:19:52.320
<v Speaker 9>we grew actives twenty three percent. In Q two again

0:19:52.480 --> 0:19:55.880
<v Speaker 9>we grew actives twenty three percent year over year, accelerating

0:19:55.920 --> 0:19:56.400
<v Speaker 9>that rate.

0:19:56.480 --> 0:19:58.480
<v Speaker 8>So we actually had an outstanding quarter.

0:19:58.520 --> 0:20:00.280
<v Speaker 9>And I think it's just natural now that need to

0:20:00.280 --> 0:20:03.600
<v Speaker 9>make sure that we educate investors on that some of

0:20:03.640 --> 0:20:05.879
<v Speaker 9>these details of the business, such as the seasonal elements

0:20:05.880 --> 0:20:06.119
<v Speaker 9>of it.

0:20:06.320 --> 0:20:08.879
<v Speaker 3>And maybe investors were looking to competitors in the space,

0:20:08.960 --> 0:20:11.199
<v Speaker 3>not direct competitors, but certainly in the fintech space so

0:20:11.280 --> 0:20:14.399
<v Speaker 3>far just had such strength. Do you think perhaps it

0:20:14.560 --> 0:20:16.520
<v Speaker 3>was what others are doing in the market, and how

0:20:16.520 --> 0:20:19.199
<v Speaker 3>can you show that you're winning as much and building

0:20:19.240 --> 0:20:19.640
<v Speaker 3>as much.

0:20:21.040 --> 0:20:23.960
<v Speaker 9>Well, you know, I think we have a different business

0:20:24.040 --> 0:20:26.639
<v Speaker 9>model than a lot of the other FinTechs out there

0:20:26.680 --> 0:20:31.359
<v Speaker 9>in that we're really focused on serving everyday consumers and

0:20:31.440 --> 0:20:34.639
<v Speaker 9>banking them in a primary account capacity. In other words,

0:20:34.920 --> 0:20:37.200
<v Speaker 9>people signing up for Chime and using us as their

0:20:37.240 --> 0:20:40.200
<v Speaker 9>primary direct deposit account. And we're really, at the day,

0:20:40.320 --> 0:20:42.640
<v Speaker 9>at the end of the day, a payments driven business,

0:20:43.200 --> 0:20:45.480
<v Speaker 9>not a lending business. And I think that's a real

0:20:45.520 --> 0:20:50.680
<v Speaker 9>differentiation that's important for investors to understand about the core

0:20:50.720 --> 0:20:53.320
<v Speaker 9>of our business model. You know, credit and lending is

0:20:53.359 --> 0:20:56.680
<v Speaker 9>sort of a mid teens percentage of our revenue. Were

0:20:56.680 --> 0:20:59.720
<v Speaker 9>predominantly a payment driven business, which I think is quite

0:20:59.760 --> 0:21:02.480
<v Speaker 9>a bit different. And you know, we love these relationships

0:21:02.520 --> 0:21:06.600
<v Speaker 9>because it allows us to develop long term partnerships with

0:21:06.640 --> 0:21:08.359
<v Speaker 9>our members and help them in the areas that matter

0:21:08.480 --> 0:21:12.440
<v Speaker 9>most around avoiding fees, around building credit, getting some short

0:21:12.520 --> 0:21:16.400
<v Speaker 9>term liquidity, around the edges, but also just helping them

0:21:16.400 --> 0:21:18.960
<v Speaker 9>get into a healthy rhythm of savings and moving their

0:21:19.000 --> 0:21:20.960
<v Speaker 9>financial progress.

0:21:20.560 --> 0:21:22.480
<v Speaker 3>Ahead, and many of them want to do that far

0:21:22.520 --> 0:21:24.840
<v Speaker 3>more efficiently using generative AI.

0:21:24.920 --> 0:21:26.359
<v Speaker 2>That's something you've been into weaving, you've.

0:21:26.200 --> 0:21:28.399
<v Speaker 3>Got the voice, what for example, Chris, why more can

0:21:28.440 --> 0:21:29.119
<v Speaker 3>you lean into that?

0:21:30.480 --> 0:21:33.399
<v Speaker 9>We're so excited about the opportunity in AI, and I

0:21:33.480 --> 0:21:35.800
<v Speaker 9>just think, you know, what, are an exciting time to

0:21:35.880 --> 0:21:38.639
<v Speaker 9>run a technology company. We feel like we're just in

0:21:38.680 --> 0:21:42.280
<v Speaker 9>the early stages of a new industrial revolution. If you

0:21:42.280 --> 0:21:45.320
<v Speaker 9>think about, you know, the original Industrial Revolution, it was

0:21:45.320 --> 0:21:48.719
<v Speaker 9>all about new sources of energy that created it and

0:21:48.840 --> 0:21:51.720
<v Speaker 9>unlocked so many new opportunities, new industries and so forth.

0:21:52.080 --> 0:21:54.600
<v Speaker 9>I kind of think of llms as the same sort

0:21:54.640 --> 0:21:57.840
<v Speaker 9>of new form of energy that. Sure, the LLLM companies

0:21:58.000 --> 0:22:01.760
<v Speaker 9>are incredible, amazing businesusinesses. We're all using them every day.

0:22:02.160 --> 0:22:06.000
<v Speaker 9>But the opportunities for companies like Chime to leverage AI

0:22:06.200 --> 0:22:10.359
<v Speaker 9>and move it into the product experience, the operations is

0:22:10.440 --> 0:22:13.520
<v Speaker 9>just enormous. We're already serving over seventy percent of our

0:22:13.560 --> 0:22:18.000
<v Speaker 9>customer interactions with generative AI, and not only is the

0:22:18.040 --> 0:22:21.480
<v Speaker 9>cost saving exciting, but the actual outcomes are even more

0:22:21.480 --> 0:22:25.120
<v Speaker 9>exciting because we're seeing a significant increase in the satisfaction

0:22:25.280 --> 0:22:27.880
<v Speaker 9>levels of consumers getting the answers they want.

0:22:27.880 --> 0:22:29.359
<v Speaker 8>Quickly through an AI.

0:22:29.640 --> 0:22:32.720
<v Speaker 9>Of course, you can always talk to a live customer

0:22:32.760 --> 0:22:35.480
<v Speaker 9>service rep. But we're really excited about the opportunities not

0:22:35.520 --> 0:22:38.240
<v Speaker 9>just on the service side, but even using AI as

0:22:38.280 --> 0:22:40.560
<v Speaker 9>a think of like a digital partner that kind of

0:22:40.600 --> 0:22:43.960
<v Speaker 9>helping you manage your data day, financial life.

0:22:44.080 --> 0:22:46.880
<v Speaker 3>I have to leave it there, fascinating. Chris bret Chime, CEO.

0:22:46.960 --> 0:22:49.199
<v Speaker 3>We thank you for your time coming out next one

0:22:49.240 --> 0:22:52.480
<v Speaker 3>of those lms, Open AI. The CEO joins us, this

0:22:52.600 --> 0:22:59.960
<v Speaker 3>is Broomberg Tech. We want to welcome our global audience

0:23:00.000 --> 0:23:04.480
<v Speaker 3>across Bloomberg Radio and television Open AI. It's released GPT five.

0:23:04.560 --> 0:23:07.480
<v Speaker 3>It's most advanced model yet. The company says it offers

0:23:07.560 --> 0:23:11.600
<v Speaker 3>key improvements in major areas like reliability, accuracy, and there's

0:23:11.640 --> 0:23:14.200
<v Speaker 3>the strongest generator of AI model yet incoding and writing

0:23:14.240 --> 0:23:14.720
<v Speaker 3>and health.

0:23:15.320 --> 0:23:15.720
<v Speaker 2>For more.

0:23:15.840 --> 0:23:19.199
<v Speaker 3>We bring in Brad Light Open AI COO and this

0:23:19.280 --> 0:23:22.880
<v Speaker 3>feels so primed for enterprise adoption. Brad, when I think

0:23:22.920 --> 0:23:24.840
<v Speaker 3>of writing, when I think of coding, what is the

0:23:24.840 --> 0:23:25.680
<v Speaker 3>opportunity there?

0:23:27.080 --> 0:23:29.960
<v Speaker 5>Yeah, well, good morning, thanks for having me.

0:23:30.600 --> 0:23:33.560
<v Speaker 11>GVT five is a significant step forward in a few

0:23:33.600 --> 0:23:34.320
<v Speaker 11>different domains.

0:23:34.320 --> 0:23:35.520
<v Speaker 5>So you mentioned coding.

0:23:35.560 --> 0:23:39.960
<v Speaker 11>You mentioned writing in health for consumers and medical professionals,

0:23:40.520 --> 0:23:43.359
<v Speaker 11>and we think that opportunity unlocks an amazing set of

0:23:43.359 --> 0:23:45.200
<v Speaker 11>things in the enterprise that now become possible.

0:23:46.119 --> 0:23:47.480
<v Speaker 5>It's a much more reliable model.

0:23:47.520 --> 0:23:50.160
<v Speaker 11>So it's better at things like calling tools, it's better

0:23:50.200 --> 0:23:53.840
<v Speaker 11>at things like structured thinking and reasoning, problem solving. And

0:23:53.880 --> 0:23:55.880
<v Speaker 11>what we see in the enterprise is when you make

0:23:55.920 --> 0:23:59.600
<v Speaker 11>these core capabilities better, the number of use cases enterprises

0:23:59.600 --> 0:24:03.680
<v Speaker 11>can adopt these models for increases and so coding being significant.

0:24:04.080 --> 0:24:05.280
<v Speaker 5>It really is the language of.

0:24:05.920 --> 0:24:09.040
<v Speaker 11>Computers, and that was a significant area of demand for

0:24:09.160 --> 0:24:11.280
<v Speaker 11>us when we were talking to customers about what they

0:24:11.280 --> 0:24:12.080
<v Speaker 11>wanted in this model.

0:24:12.320 --> 0:24:15.040
<v Speaker 3>I mean, PhD level is what many are calling it,

0:24:15.080 --> 0:24:17.360
<v Speaker 3>well what Sam is calling it, and I'm sure yourself.

0:24:17.680 --> 0:24:20.679
<v Speaker 3>What's interesting is when you've got seven hundred million weekly

0:24:20.800 --> 0:24:23.480
<v Speaker 3>users of chatchipt, how much is that a funnel a

0:24:23.520 --> 0:24:25.480
<v Speaker 3>read across into enterprise. How much you could get the

0:24:25.520 --> 0:24:27.919
<v Speaker 3>inbound because ultimately the people in the old workforce are

0:24:27.920 --> 0:24:28.600
<v Speaker 3>already using it.

0:24:30.600 --> 0:24:33.040
<v Speaker 11>Well, really early on when we launched chat Gipt, what

0:24:33.119 --> 0:24:36.240
<v Speaker 11>we found is I think, you know, a number of

0:24:36.280 --> 0:24:38.920
<v Speaker 11>months after we launched it, I think something like ninety

0:24:38.960 --> 0:24:42.920
<v Speaker 11>two percent of the Fortune five hundred we're actively using chatchipt,

0:24:43.000 --> 0:24:44.560
<v Speaker 11>or people at ninety two percent of the Fortune five

0:24:44.600 --> 0:24:46.720
<v Speaker 11>hundred were actively using it, and so it was very

0:24:46.720 --> 0:24:48.400
<v Speaker 11>obvious for us we needed to go build a work

0:24:48.440 --> 0:24:51.960
<v Speaker 11>product because I think chatchapt as a product is as

0:24:52.080 --> 0:24:55.320
<v Speaker 11>useful in an enterprise environment, in a work environment as

0:24:55.359 --> 0:24:59.440
<v Speaker 11>it is in your personal life. It's an amazing companion

0:25:00.000 --> 0:25:03.560
<v Speaker 11>if you do anything from marketing to software engineering, to

0:25:03.640 --> 0:25:06.199
<v Speaker 11>data analysis and research. And I think there was a

0:25:06.200 --> 0:25:09.400
<v Speaker 11>lot of organic adoption when people discovered the tool, realizing

0:25:09.440 --> 0:25:12.040
<v Speaker 11>that it could make people much better at their jobs

0:25:12.560 --> 0:25:14.440
<v Speaker 11>and able to do more. And so we really leaned

0:25:14.480 --> 0:25:16.479
<v Speaker 11>in with that and we're trying to build the best

0:25:16.480 --> 0:25:17.080
<v Speaker 11>product we can.

0:25:17.880 --> 0:25:21.040
<v Speaker 3>It's like one tenth of the planet using chat gpt Brad.

0:25:21.040 --> 0:25:24.679
<v Speaker 3>But I'm interested in some analysis that Meno Ventures has done.

0:25:24.840 --> 0:25:27.480
<v Speaker 3>They've analyzed the LLLM market, particularly in the enterprise space,

0:25:27.600 --> 0:25:29.399
<v Speaker 3>and they've just tried to push back saying, look, you

0:25:29.560 --> 0:25:30.600
<v Speaker 3>lost market share.

0:25:30.640 --> 0:25:32.240
<v Speaker 2>Open Ai went from fifty percent in the.

0:25:32.280 --> 0:25:35.640
<v Speaker 3>Enterprise market share down to twenty five percent, and funnily enough,

0:25:35.720 --> 0:25:38.400
<v Speaker 3>the company that they back, which is Anthropic, took the lead.

0:25:38.760 --> 0:25:40.760
<v Speaker 3>What do you say to those of statistics, is it

0:25:40.760 --> 0:25:42.399
<v Speaker 3>something you're seeing within your own numbers.

0:25:44.480 --> 0:25:45.680
<v Speaker 5>It's hard to measure these things.

0:25:45.920 --> 0:25:48.200
<v Speaker 11>You know, you can find you can find measurements that

0:25:48.480 --> 0:25:51.159
<v Speaker 11>say the opposite. But what we really focus on is

0:25:51.240 --> 0:25:53.440
<v Speaker 11>value for customers, Like we've got to deliver the absolute

0:25:53.480 --> 0:25:56.520
<v Speaker 11>best models and then the absolute best products for developers,

0:25:56.840 --> 0:26:01.160
<v Speaker 11>for startups, for enterprises large and small, and that's that's

0:26:01.160 --> 0:26:03.280
<v Speaker 11>been our focus. I think you know, our API is

0:26:03.320 --> 0:26:05.920
<v Speaker 11>a good example of where we've really invested lately. We've

0:26:05.920 --> 0:26:08.840
<v Speaker 11>got over four million developers now actively using the API

0:26:09.400 --> 0:26:12.679
<v Speaker 11>every day to build new products. We support thousands and

0:26:12.720 --> 0:26:16.080
<v Speaker 11>thousands of startups that are building with us that we

0:26:16.119 --> 0:26:18.760
<v Speaker 11>work deeply with on trying to improve our product so

0:26:18.800 --> 0:26:21.320
<v Speaker 11>that they can ultimately build a better product. And in

0:26:21.359 --> 0:26:23.159
<v Speaker 11>the enterprise, I think you know, the demand that we

0:26:23.200 --> 0:26:26.240
<v Speaker 11>see there is really unabated. We grew chat Gypt enterprise

0:26:26.280 --> 0:26:29.600
<v Speaker 11>seats from three million seats to five million seats in

0:26:29.640 --> 0:26:32.080
<v Speaker 11>a matter of two months, and so that growth is

0:26:32.119 --> 0:26:35.320
<v Speaker 11>accelerating and we're just starting to scratch the surface, I

0:26:35.320 --> 0:26:37.359
<v Speaker 11>think on the impact that we can have both for

0:26:37.520 --> 0:26:39.960
<v Speaker 11>developers and for enterprises. So we see it as a

0:26:39.960 --> 0:26:41.960
<v Speaker 11>long game, and you know we're here to just do

0:26:41.960 --> 0:26:43.200
<v Speaker 11>our best for customers.

0:26:44.040 --> 0:26:46.600
<v Speaker 2>For that, BOYD, you need infrastructure.

0:26:47.200 --> 0:26:49.439
<v Speaker 3>Tell us a little bit about the costs of training

0:26:49.440 --> 0:26:52.240
<v Speaker 3>this model and how you're looking to expand with Stargate,

0:26:52.280 --> 0:26:54.600
<v Speaker 3>the project we've just been talking about how SoftBank's been

0:26:54.600 --> 0:26:57.239
<v Speaker 3>teaming up with Foxcon, for example, to take over an

0:26:57.280 --> 0:27:01.640
<v Speaker 3>ohio ev plant. How is that continuing to meet your

0:27:01.680 --> 0:27:03.960
<v Speaker 3>demands or not meet them as the case may be.

0:27:05.600 --> 0:27:10.000
<v Speaker 11>Well, yeah, we've seen demand for AI increase at just

0:27:10.720 --> 0:27:13.879
<v Speaker 11>a torrid pace. Obviously, at the root of that is

0:27:13.960 --> 0:27:17.760
<v Speaker 11>getting right the infrastructure equation, and we think ultimately that's

0:27:17.760 --> 0:27:20.560
<v Speaker 11>going to be a critical input to the US and

0:27:20.600 --> 0:27:23.920
<v Speaker 11>its allies being competitive in this area. And so Stargate

0:27:23.960 --> 0:27:26.720
<v Speaker 11>for US was a five hundred billion dollar project to

0:27:26.800 --> 0:27:30.640
<v Speaker 11>invest here in the United States to build AI infrastructure

0:27:31.359 --> 0:27:34.560
<v Speaker 11>for open AI and ultimately for the country. We're working

0:27:34.560 --> 0:27:36.520
<v Speaker 11>with a lot of great partners on that project and

0:27:36.800 --> 0:27:39.159
<v Speaker 11>hope to bring in more and I think, you know,

0:27:39.200 --> 0:27:41.399
<v Speaker 11>that's just the beginning. We're going to continue it to

0:27:41.440 --> 0:27:44.360
<v Speaker 11>invest aggressively. We've always found ourselves somewhat on the wrong

0:27:44.400 --> 0:27:47.959
<v Speaker 11>side of the demand curve for AI, you know, despite

0:27:48.000 --> 0:27:50.520
<v Speaker 11>the investment, the significant investment to date, and so for

0:27:50.520 --> 0:27:52.119
<v Speaker 11>as long as we see demand, we're going to continue

0:27:52.119 --> 0:27:55.240
<v Speaker 11>to invest aggressively. AI is interesting in that the more

0:27:55.520 --> 0:27:57.320
<v Speaker 11>you invest and the more you make it available, the

0:27:57.320 --> 0:28:01.000
<v Speaker 11>more you make it, you know, cost cost approachable for

0:28:01.480 --> 0:28:04.119
<v Speaker 11>enterprises and for consumers, the more people want to use it.

0:28:04.400 --> 0:28:07.000
<v Speaker 11>So it's an amazing trend and we'll continue to invest

0:28:07.040 --> 0:28:07.399
<v Speaker 11>behind it.

0:28:07.720 --> 0:28:10.360
<v Speaker 2>We're speaking with Brad Lightcap of open Ai.

0:28:10.520 --> 0:28:12.840
<v Speaker 3>The CEO for our radio and TV audience is Brad,

0:28:13.480 --> 0:28:16.200
<v Speaker 3>how has the rollout ultimately been. Do you think because

0:28:16.440 --> 0:28:18.800
<v Speaker 3>so many people wanted to use the app that maybe

0:28:18.840 --> 0:28:20.880
<v Speaker 3>we hit limits quicker than some anticipated.

0:28:22.440 --> 0:28:25.000
<v Speaker 5>Well, we're trying our best to keep up with demand.

0:28:25.760 --> 0:28:29.080
<v Speaker 11>Serving infrastructure at scale at seven hundred million users and

0:28:29.080 --> 0:28:32.560
<v Speaker 11>then millions of developers and many billions of tokens per

0:28:32.560 --> 0:28:36.479
<v Speaker 11>minute that we process is not for the faint of heart. Thankfully,

0:28:36.520 --> 0:28:37.800
<v Speaker 11>I don't have to do that part of it. But

0:28:38.520 --> 0:28:40.760
<v Speaker 11>we're doing our best to make sure the rollout is

0:28:41.160 --> 0:28:43.120
<v Speaker 11>successful and we're hoping that by the end of the

0:28:43.160 --> 0:28:44.760
<v Speaker 11>week here everyone gets access.

0:28:44.960 --> 0:28:47.680
<v Speaker 3>Your job description is more about building the enterprise relationships

0:28:47.680 --> 0:28:49.720
<v Speaker 3>and partnerships. I also think about the partnership you have

0:28:49.760 --> 0:28:52.400
<v Speaker 3>with Microsoft and Sati and adelays out there really talking

0:28:52.440 --> 0:28:55.240
<v Speaker 3>about integrating already and how excited he was for the product.

0:28:55.520 --> 0:28:57.680
<v Speaker 2>But there's a tension in the relationship there.

0:28:58.120 --> 0:29:01.200
<v Speaker 3>I'm interested in what you think the progress being made.

0:29:01.240 --> 0:29:03.760
<v Speaker 2>Sam Alman was on Networks.

0:29:03.240 --> 0:29:06.480
<v Speaker 3>Talking about progress being made with a relationship going forward. Microsoft,

0:29:06.600 --> 0:29:08.800
<v Speaker 3>can you give us a timeline about when you think

0:29:08.960 --> 0:29:11.360
<v Speaker 3>a deal will be done in the future of how

0:29:11.440 --> 0:29:14.280
<v Speaker 3>they interact with your product and more broadly, how much

0:29:14.280 --> 0:29:16.440
<v Speaker 3>ownership they continue to have in the business as a

0:29:16.440 --> 0:29:17.320
<v Speaker 3>full profit one.

0:29:18.880 --> 0:29:21.360
<v Speaker 11>Yeah, Well, we feel really positive about the relationship with

0:29:21.400 --> 0:29:23.480
<v Speaker 11>Microsoft and they've they've been a great partner throughout the

0:29:23.520 --> 0:29:26.080
<v Speaker 11>history of open Ai. They've been with us from the

0:29:26.080 --> 0:29:30.240
<v Speaker 11>beginning really since before chatch Ept obviously have been a

0:29:30.320 --> 0:29:32.960
<v Speaker 11>huge infrastructure partner for us with Azure.

0:29:33.280 --> 0:29:36.040
<v Speaker 5>And so we continue expect that to continue. We see

0:29:36.480 --> 0:29:37.840
<v Speaker 5>we see no future.

0:29:37.480 --> 0:29:40.160
<v Speaker 11>That you know of open Ai that doesn't include Microsoft

0:29:40.200 --> 0:29:43.000
<v Speaker 11>in a significant way. We've got to work on what

0:29:43.000 --> 0:29:45.080
<v Speaker 11>that future looks like together. We're in that process with

0:29:45.120 --> 0:29:47.640
<v Speaker 11>them right now. We feel very good about it, but

0:29:47.720 --> 0:29:50.160
<v Speaker 11>we think also ultimately there's you know, the world is

0:29:50.240 --> 0:29:53.120
<v Speaker 11>really big and the demand for these systems and these

0:29:53.160 --> 0:29:56.200
<v Speaker 11>models in the enterprise and consumer is significant. And so

0:29:56.600 --> 0:29:59.400
<v Speaker 11>they represent not only an infrastructure partner for us, but

0:29:59.720 --> 0:30:01.600
<v Speaker 11>a a partner to be able to help distribute and

0:30:01.640 --> 0:30:04.000
<v Speaker 11>bring the benefits of the technology to the world given

0:30:04.000 --> 0:30:06.000
<v Speaker 11>the size of their footprint, so you know, more to

0:30:06.040 --> 0:30:06.720
<v Speaker 11>work through there.

0:30:07.120 --> 0:30:08.240
<v Speaker 5>But we feel good about it.

0:30:08.280 --> 0:30:10.320
<v Speaker 11>And like I said, I think you know, when we're

0:30:10.320 --> 0:30:11.880
<v Speaker 11>standing at the finish line of all this, they'll be

0:30:11.880 --> 0:30:12.320
<v Speaker 11>there with us.

0:30:13.120 --> 0:30:16.280
<v Speaker 3>Meanwhile, the stuff of sulimanover at Microsoft is busy in

0:30:16.280 --> 0:30:19.400
<v Speaker 3>the tussle for talent, so to plenty of other rivals

0:30:19.400 --> 0:30:23.040
<v Speaker 3>that we understand, Mark Zuckerberg busy. And what's interesting is

0:30:23.560 --> 0:30:26.680
<v Speaker 3>while you is one of those long tenured employees and

0:30:27.200 --> 0:30:30.320
<v Speaker 3>staff over at open Ai remain committed because of innovations

0:30:30.320 --> 0:30:32.840
<v Speaker 3>such as this. But what about the liquidity that we're

0:30:32.880 --> 0:30:36.360
<v Speaker 3>talking about bringing to some of your well people that

0:30:36.400 --> 0:30:37.520
<v Speaker 3>you work alongside.

0:30:37.640 --> 0:30:38.240
<v Speaker 2>How is that going?

0:30:38.280 --> 0:30:40.040
<v Speaker 3>We understand they might be even a five hundred billion

0:30:40.080 --> 0:30:42.680
<v Speaker 3>dollar valuation involved in what is a secondary sale of

0:30:43.280 --> 0:30:45.479
<v Speaker 3>your shares to the likes of Thrive Capital.

0:30:47.400 --> 0:30:51.080
<v Speaker 11>Yeah, well, nothing there to share here, but we continue

0:30:51.080 --> 0:30:54.920
<v Speaker 11>to see very healthy demand on the investors side for

0:30:55.320 --> 0:30:56.840
<v Speaker 11>wanting to be I think part of the Open Eye

0:30:56.880 --> 0:30:59.240
<v Speaker 11>journey and mission, and we're very grateful for that. And

0:30:59.280 --> 0:31:01.080
<v Speaker 11>on the talent side, look, I think you know, Opening

0:31:01.120 --> 0:31:03.080
<v Speaker 11>Eye was founded as a nonprofit. It was founded as

0:31:03.120 --> 0:31:06.040
<v Speaker 11>a mission driven company to be able to build you know,

0:31:06.280 --> 0:31:09.800
<v Speaker 11>general intelligence that's beneficial for all of humanity, and we

0:31:09.880 --> 0:31:12.520
<v Speaker 11>haven't strayed from that mission. I think ultimately that's what

0:31:12.600 --> 0:31:15.160
<v Speaker 11>attracts talent is people want to work for a project

0:31:15.160 --> 0:31:17.560
<v Speaker 11>that's bigger than themselves and something that's going to be

0:31:17.560 --> 0:31:20.360
<v Speaker 11>impactful for us and for you know, for for for

0:31:20.480 --> 0:31:23.320
<v Speaker 11>humanity and our species. And so I think that's the

0:31:23.320 --> 0:31:26.520
<v Speaker 11>thing that ultimately attracts people to where they work. Obviously,

0:31:26.560 --> 0:31:29.040
<v Speaker 11>like it's a competitive market and we continue to compete.

0:31:29.240 --> 0:31:30.600
<v Speaker 11>But at the end of the day, when we ask

0:31:30.640 --> 0:31:32.280
<v Speaker 11>people what it is that keeps them at Opening It

0:31:32.360 --> 0:31:32.920
<v Speaker 11>it's the mission.

0:31:33.360 --> 0:31:33.880
<v Speaker 2>The mission.

0:31:34.240 --> 0:31:38.000
<v Speaker 3>At the moment, you've got something that's generally intelligence, but

0:31:38.000 --> 0:31:39.960
<v Speaker 3>it's not artificial general intelligence.

0:31:39.960 --> 0:31:41.200
<v Speaker 2>Brad, when do you get there?

0:31:41.280 --> 0:31:46.040
<v Speaker 11>Briefly, you know, I've sworn off making predictions in AI.

0:31:46.160 --> 0:31:49.240
<v Speaker 11>It's too hard, the curves are too steep. But I think,

0:31:49.280 --> 0:31:51.240
<v Speaker 11>you know, we feel really good about the rate of progress.

0:31:51.320 --> 0:31:54.160
<v Speaker 11>GBD five is a great representation of how we start

0:31:54.160 --> 0:31:57.040
<v Speaker 11>to make progress on little things, you know, things like,

0:31:57.080 --> 0:31:59.600
<v Speaker 11>for example, being able to have the model dynamically reason

0:32:00.040 --> 0:32:03.080
<v Speaker 11>and decide how much it wants to think about the

0:32:03.120 --> 0:32:05.760
<v Speaker 11>problem that you ask it to solve. That's something that

0:32:05.800 --> 0:32:09.120
<v Speaker 11>we do natively as humans that previously our models couldn't do.

0:32:09.240 --> 0:32:11.800
<v Speaker 11>So it's these little steps forward that we think accumulated

0:32:11.800 --> 0:32:14.720
<v Speaker 11>and ultimately get us to something that will be truly remarkable.

0:32:15.320 --> 0:32:18.640
<v Speaker 3>Radi cap talking about the latest GPT five. We thank

0:32:18.680 --> 0:32:24.160
<v Speaker 3>you so much, Coeo of open Ai. Now let's check

0:32:24.200 --> 0:32:27.200
<v Speaker 3>back on these markets, because we are up three point

0:32:27.240 --> 0:32:29.040
<v Speaker 3>three percent over the course of five days, and then

0:32:29.080 --> 0:32:30.920
<v Speaker 3>that's that one hundred where are a new record high.

0:32:30.920 --> 0:32:32.440
<v Speaker 2>Folks. We have had one of.

0:32:32.440 --> 0:32:34.600
<v Speaker 3>The longest weeks and tech in terms of newsflow, whether

0:32:34.640 --> 0:32:36.440
<v Speaker 3>it's been about tariffs on chips, whether it's.

0:32:36.360 --> 0:32:38.200
<v Speaker 2>Been the onslaught of earnings, which.

0:32:38.080 --> 0:32:39.880
<v Speaker 3>We're going to be talking about time and time again.

0:32:40.200 --> 0:32:42.400
<v Speaker 3>Currently up three point three percent. Want to look about

0:32:42.400 --> 0:32:44.719
<v Speaker 3>what's happening in the rest of the industry and indeed

0:32:44.880 --> 0:32:47.920
<v Speaker 3>the market more broadly. Bitcoins down by percentage point, got

0:32:47.960 --> 0:32:49.120
<v Speaker 3>a bit of a risk off tone.

0:32:49.280 --> 0:32:50.800
<v Speaker 2>You have to keep an eye what's happening with.

0:32:50.760 --> 0:32:53.240
<v Speaker 3>Gold spot though, because talking of tariffs. While it's not

0:32:53.280 --> 0:32:56.000
<v Speaker 3>just semiconductors that's been in the eye the storm or pharmaceuticals,

0:32:56.000 --> 0:32:59.120
<v Speaker 3>but gold bars as well, huge volatility on the course

0:32:59.120 --> 0:33:01.080
<v Speaker 3>of the day. Meanwhile, coming up, we're going to be

0:33:01.120 --> 0:33:03.760
<v Speaker 3>speaking with akam I CEO to Tom Layton, I'm going

0:33:03.800 --> 0:33:06.360
<v Speaker 3>to go back to other earnings within this trade desk

0:33:06.480 --> 0:33:09.959
<v Speaker 3>is off by thirty nine percent. It's earnings underwhelmed significantly.

0:33:10.160 --> 0:33:13.320
<v Speaker 3>Amazon competition Pinterest off after its earnings, but Insta can't

0:33:13.320 --> 0:33:17.640
<v Speaker 3>trading higher Exipedia after Airbnb managed to underwhelm Expedia up

0:33:17.640 --> 0:33:20.320
<v Speaker 3>more than four percent. We can bring you Akami next though.

0:33:20.440 --> 0:33:23.560
<v Speaker 3>Tom Layton joins us the CEO, this is Blue Megtech.

0:33:37.800 --> 0:33:40.960
<v Speaker 3>Keep an eye on Akamai shares today, somewhat volatile after

0:33:41.000 --> 0:33:42.800
<v Speaker 3>posting second quarter results.

0:33:42.800 --> 0:33:45.400
<v Speaker 2>That across the board in general beat estimates.

0:33:45.440 --> 0:33:47.320
<v Speaker 3>But you have to read between the lines as to

0:33:47.320 --> 0:33:49.160
<v Speaker 3>where there was perhaps a bit of a pullback or

0:33:49.600 --> 0:33:51.840
<v Speaker 3>a miss when it came to Compute, for example, but

0:33:51.920 --> 0:33:55.120
<v Speaker 3>therefore you forecast that was raised. Tom Layton, Akami CEO

0:33:55.240 --> 0:33:58.320
<v Speaker 3>joins us now to demystify for us, Tom, because it's

0:33:58.320 --> 0:34:01.800
<v Speaker 3>interesting you have Hybisan really talking about lots of moving

0:34:01.880 --> 0:34:06.120
<v Speaker 3>parts and ultimately they see fairly cloudy still of what

0:34:06.200 --> 0:34:08.200
<v Speaker 3>the ultimate positioning is of the business.

0:34:08.560 --> 0:34:09.200
<v Speaker 2>Can you tell it.

0:34:09.160 --> 0:34:13.040
<v Speaker 3>You're really going in on well, cloud infrastructure here, not

0:34:13.200 --> 0:34:15.719
<v Speaker 3>just content delivery, not just security.

0:34:16.200 --> 0:34:22.279
<v Speaker 12>Oh yeah, security majority of our revenue Cloud infrastructure services.

0:34:22.400 --> 0:34:23.000
<v Speaker 5>My goodness.

0:34:23.000 --> 0:34:26.160
<v Speaker 12>We are up thirty percent year every year, and we

0:34:26.239 --> 0:34:28.640
<v Speaker 12>think that's going to accelerate. So by the end of

0:34:28.640 --> 0:34:31.560
<v Speaker 12>this year will be up forty percent plus year over year.

0:34:31.920 --> 0:34:37.360
<v Speaker 12>Tremendous market opportunity. There, strong tailwinds of course from jen Ai.

0:34:38.040 --> 0:34:41.360
<v Speaker 12>So I think very exciting results for Akamai. You know,

0:34:41.440 --> 0:34:45.080
<v Speaker 12>a strong beat on the quarter, very profitable earnings per

0:34:45.120 --> 0:34:48.400
<v Speaker 12>share up nine percent and a dollar and seventy three cents,

0:34:48.880 --> 0:34:51.800
<v Speaker 12>and I think a very good outlook, raising guidance for

0:34:51.840 --> 0:34:52.160
<v Speaker 12>the year.

0:34:52.880 --> 0:34:55.719
<v Speaker 3>So maybe just a little bit of a pause for investors.

0:34:55.760 --> 0:34:58.520
<v Speaker 3>I mean, the shows are still down over the year

0:34:58.640 --> 0:34:59.360
<v Speaker 3>or twelve months.

0:34:59.400 --> 0:35:02.760
<v Speaker 2>Tom. I'm sort of interested therefore on what they're not getting.

0:35:02.920 --> 0:35:06.440
<v Speaker 3>What is it about the opportunity in, for example, cloud infrastructure.

0:35:06.440 --> 0:35:09.360
<v Speaker 3>Why take on the hyperscalers, Well, it's.

0:35:09.200 --> 0:35:12.759
<v Speaker 12>A tremendous market opportunity. Our customers have asked us to

0:35:12.800 --> 0:35:16.239
<v Speaker 12>do that. You know, we with our distributed platform, which

0:35:16.280 --> 0:35:19.040
<v Speaker 12>is unique in the marketplace. We're in seven hundred and

0:35:19.080 --> 0:35:22.600
<v Speaker 12>fifty cities. With our points a presence, we can get

0:35:22.760 --> 0:35:28.200
<v Speaker 12>enterprise compute instances. They're containers closer to the end users,

0:35:28.640 --> 0:35:32.160
<v Speaker 12>and that gives you lower latency and better performance and

0:35:32.239 --> 0:35:35.879
<v Speaker 12>for a lot of applications that matters. Also, we could

0:35:35.920 --> 0:35:38.200
<v Speaker 12>do it at a lower price point. In fact, one

0:35:38.239 --> 0:35:40.799
<v Speaker 12>of the hyperscalers is an early adopter of our new

0:35:40.880 --> 0:35:44.640
<v Speaker 12>managed container service. They want to have their compute instances

0:35:44.680 --> 0:35:47.439
<v Speaker 12>and hundreds of cities around the world, which is something

0:35:47.480 --> 0:35:48.480
<v Speaker 12>all the Akamai can do.

0:35:49.040 --> 0:35:49.480
<v Speaker 2>Interesting.

0:35:49.719 --> 0:35:52.040
<v Speaker 3>I mean, maybe people are looking at what drove some

0:35:52.120 --> 0:35:54.040
<v Speaker 3>of the revenue beat and they're looking at FX, but.

0:35:54.040 --> 0:35:57.480
<v Speaker 2>They're also looking at TikTok inclusion. Have you decided that.

0:35:57.440 --> 0:35:59.440
<v Speaker 3>The risk of being managed just off the table and

0:35:59.480 --> 0:36:02.000
<v Speaker 3>you're going to really be startling talking about this client

0:36:02.000 --> 0:36:02.439
<v Speaker 3>once again?

0:36:03.560 --> 0:36:05.720
<v Speaker 8>Oh, there's always risk.

0:36:06.239 --> 0:36:09.080
<v Speaker 12>Though, it seems that from what we're hearing from public

0:36:09.160 --> 0:36:12.360
<v Speaker 12>sources that you know, a deal has basically been structured

0:36:12.600 --> 0:36:16.080
<v Speaker 12>and you know there's obviously caught up in trade negotiations,

0:36:16.960 --> 0:36:20.960
<v Speaker 12>but that at this point it seems like the ban

0:36:21.080 --> 0:36:24.960
<v Speaker 12>has been postponed several times, and so we're not seeing

0:36:24.960 --> 0:36:27.960
<v Speaker 12>anything that suggests that that that's going to change in

0:36:28.000 --> 0:36:28.760
<v Speaker 12>the near future.

0:36:29.239 --> 0:36:31.120
<v Speaker 2>You do that content delivery for them.

0:36:31.160 --> 0:36:34.200
<v Speaker 3>It's interesting that security is where a lot of your growth,

0:36:34.280 --> 0:36:36.160
<v Speaker 3>and as you say, the most part of your revenue

0:36:36.160 --> 0:36:40.400
<v Speaker 3>has been coming from. What insecurity is driving that growth?

0:36:40.440 --> 0:36:41.640
<v Speaker 3>Where are people coming to you?

0:36:42.920 --> 0:36:46.480
<v Speaker 12>Yeah, we have the market leading solutions for web app firewall,

0:36:47.160 --> 0:36:53.920
<v Speaker 12>for bought management, for API security, for stopping ransomware with segmentation,

0:36:54.560 --> 0:36:57.040
<v Speaker 12>and of course the attack rates have been going way up,

0:36:57.120 --> 0:36:59.840
<v Speaker 12>the penetrations have been going way up, and we have

0:37:00.080 --> 0:37:00.640
<v Speaker 12>a solution.

0:37:01.160 --> 0:37:04.240
<v Speaker 8>It stops the damage caused by those attacks.

0:37:04.320 --> 0:37:07.400
<v Speaker 12>So if the ransomware gets in, we identify it quickly,

0:37:07.440 --> 0:37:10.640
<v Speaker 12>we don't let it spread, and that protects our customers

0:37:10.680 --> 0:37:14.080
<v Speaker 12>so they don't, you know, have these huge costs associated

0:37:14.120 --> 0:37:15.880
<v Speaker 12>with being shut down by ransomware.

0:37:16.320 --> 0:37:18.480
<v Speaker 3>Of course, general to AI in many ways, making the

0:37:18.600 --> 0:37:23.480
<v Speaker 3>field of security ever more evolving and nimble is what's crucial. Tom.

0:37:23.840 --> 0:37:25.920
<v Speaker 3>What I'm also so interested in is the way in

0:37:25.960 --> 0:37:28.600
<v Speaker 3>which you're thinking about education here in the United States.

0:37:28.680 --> 0:37:31.400
<v Speaker 3>Skills in particular and upskilling. This is something that the

0:37:31.560 --> 0:37:33.560
<v Speaker 3>US government is calling for a lot, and I'm particularly

0:37:33.600 --> 0:37:35.600
<v Speaker 3>in the era of general to AI. How are you

0:37:36.200 --> 0:37:39.319
<v Speaker 3>seeing the skill set and the pool of talent? Is

0:37:39.320 --> 0:37:40.080
<v Speaker 3>it good enough for you?

0:37:41.400 --> 0:37:43.320
<v Speaker 8>It's going to change with Jenai.

0:37:43.800 --> 0:37:50.560
<v Speaker 12>We're seeing tremendous efficiencies across most job types at Okhami,

0:37:50.960 --> 0:37:53.719
<v Speaker 12>so that our employees can do more in the same

0:37:53.760 --> 0:37:57.480
<v Speaker 12>amount of time by leveraging Jenai. And I think you'll

0:37:57.520 --> 0:38:03.120
<v Speaker 12>see training. We're doing training ourselves so that employees will

0:38:03.200 --> 0:38:06.520
<v Speaker 12>change maybe how they do certain things and they'll be

0:38:06.560 --> 0:38:09.520
<v Speaker 12>more efficient by learning how to use the Genai tools.

0:38:09.560 --> 0:38:11.520
<v Speaker 12>I think it's really very exciting and it probably is

0:38:11.560 --> 0:38:14.160
<v Speaker 12>going to be a sea change over time and education.

0:38:14.960 --> 0:38:18.200
<v Speaker 3>Tominayton Avakami was great to have you on after your numbers.

0:38:18.200 --> 0:38:19.600
<v Speaker 3>Thank you very much for joining the show.

0:38:19.920 --> 0:38:20.359
<v Speaker 2>Stay well.

0:38:20.520 --> 0:38:23.880
<v Speaker 3>Meanwhile, coming up Tesla, well, it is disbanding the team

0:38:24.200 --> 0:38:26.400
<v Speaker 3>that was meant to give it the computing muscle in

0:38:26.480 --> 0:38:29.640
<v Speaker 3>the AI race. As an Ed Ludlow scoop, we'll get

0:38:29.680 --> 0:38:30.560
<v Speaker 3>behind it with you next.

0:38:30.600 --> 0:38:31.480
<v Speaker 2>This is bluembg Tech.

0:38:43.320 --> 0:38:46.560
<v Speaker 3>For decades, Samsung was the world's leading memory chip makup

0:38:46.640 --> 0:38:49.480
<v Speaker 3>but the tech chant was recently surpassed by smaller rival

0:38:49.560 --> 0:38:52.520
<v Speaker 3>sk Heinez, So how quickly can it reassert itself in

0:38:52.560 --> 0:38:54.920
<v Speaker 3>the AI race of Blue Beg Original's team to a

0:38:55.040 --> 0:38:55.799
<v Speaker 3>deep dive into this.

0:38:57.200 --> 0:38:59.959
<v Speaker 13>When you're out shopping for seven megawatts offshore winds turbin,

0:39:00.440 --> 0:39:03.960
<v Speaker 13>you think Samsung, right, Well, probably not. The brand is

0:39:04.040 --> 0:39:06.400
<v Speaker 13>much more famous for its phones and flat screens, but

0:39:06.560 --> 0:39:10.000
<v Speaker 13>arguably the most important drivers of South Korea's biggest family

0:39:10.000 --> 0:39:13.799
<v Speaker 13>business are these things. And for the first time in decades,

0:39:14.120 --> 0:39:16.560
<v Speaker 13>the company's got a massive problem here.

0:39:16.840 --> 0:39:20.239
<v Speaker 9>Samsung is under assault from all sides and they are

0:39:20.280 --> 0:39:21.120
<v Speaker 9>getting stretched.

0:39:21.239 --> 0:39:24.440
<v Speaker 6>Then Samsung is in this position of playing catchup, and

0:39:24.440 --> 0:39:27.440
<v Speaker 6>that's difficult to do if you don't have growing revenue,

0:39:27.440 --> 0:39:30.359
<v Speaker 6>if you don't have expanding profitability.

0:39:29.800 --> 0:39:35.359
<v Speaker 14>And unfortunately the ship profits tumble, big disappointment. The semiconducted

0:39:35.400 --> 0:39:38.560
<v Speaker 14>division reporting operating profit at four hundred billion one totally

0:39:38.600 --> 0:39:41.640
<v Speaker 14>missed analyst projections for two point seventy three trillion.

0:39:42.600 --> 0:39:45.680
<v Speaker 13>Samson shares of whipsword in value since their twenty twenty

0:39:45.719 --> 0:39:49.640
<v Speaker 13>peak and tanked in twenty twenty four, while long standing

0:39:49.719 --> 0:39:55.880
<v Speaker 13>rival sk Heinez searched the crisis is easy to miss

0:39:55.960 --> 0:39:56.719
<v Speaker 13>amid all this.

0:39:57.440 --> 0:40:01.040
<v Speaker 5>The Ultra experience is ready two.

0:40:01.200 --> 0:40:05.880
<v Speaker 13>A four, But behind the cats and choreography, Samsung's hidden

0:40:05.880 --> 0:40:10.440
<v Speaker 13>struggle threatens its national identity amongst a population that relies

0:40:10.480 --> 0:40:11.640
<v Speaker 13>on it like no other.

0:40:13.080 --> 0:40:15.879
<v Speaker 2>It is probably the most influential company in.

0:40:15.840 --> 0:40:20.279
<v Speaker 13>Korea because of the impuortance to the economy, and maintaining

0:40:20.320 --> 0:40:23.640
<v Speaker 13>that influence may hinge on a piece of technology you

0:40:23.800 --> 0:40:26.719
<v Speaker 13>probably own but have never even seen.

0:40:30.120 --> 0:40:32.960
<v Speaker 3>Catch the full episode at Bloomberg dot com, on YouTube

0:40:33.320 --> 0:40:36.120
<v Speaker 3>or on the terminal. Now, one company depending more on

0:40:36.160 --> 0:40:39.359
<v Speaker 3>Samsung for its future AI chips is Tesla, and we've

0:40:39.400 --> 0:40:42.160
<v Speaker 3>got some updated reporting from our own ed Ludlow. Tesla

0:40:42.239 --> 0:40:45.760
<v Speaker 3>is disbanding its Dojo supercomputer unit and its leader, Peter Bannon,

0:40:45.800 --> 0:40:48.120
<v Speaker 3>is leaving the company as it depends more on third

0:40:48.160 --> 0:40:51.160
<v Speaker 3>party hardware suppliers. It's all according to sources. Now, the team,

0:40:51.239 --> 0:40:54.280
<v Speaker 3>as we told you yesterday, had lost workers to Density AI.

0:40:54.480 --> 0:40:57.600
<v Speaker 3>It's a competing startup founded by former Dojo executives.

0:40:57.880 --> 0:40:58.480
<v Speaker 2>Let's get more of.

0:40:58.480 --> 0:41:02.440
<v Speaker 3>Bloomberg's Max Chaffkin, busy on his travels and Max, we

0:41:02.480 --> 0:41:06.040
<v Speaker 3>turned to you as elon inc Helmer, what do you

0:41:06.120 --> 0:41:08.520
<v Speaker 3>make of this move away? From making its own hardware

0:41:08.680 --> 0:41:10.920
<v Speaker 3>in the AI chip space.

0:41:12.040 --> 0:41:16.560
<v Speaker 15>I mean, it's definitely a setback because Tesla, of course,

0:41:16.960 --> 0:41:20.400
<v Speaker 15>if somewhat famously, likes to make everything that's kind.

0:41:20.280 --> 0:41:21.560
<v Speaker 8>Of Elon Musk's whole thing.

0:41:21.840 --> 0:41:25.719
<v Speaker 15>He's tried to make a vertically integrated auto manufacturer. That

0:41:25.760 --> 0:41:30.279
<v Speaker 15>makes Tesla very unusual, and also has been trying, you know,

0:41:30.400 --> 0:41:35.000
<v Speaker 15>obviously desperately to pivot towards AI. So this is a setback.

0:41:35.040 --> 0:41:37.800
<v Speaker 15>I will say it's a setback that I think people

0:41:37.840 --> 0:41:40.960
<v Speaker 15>saw coming to some extent. In twenty twenty four, during

0:41:41.000 --> 0:41:44.719
<v Speaker 15>an Ernie's call, Musk sort of started to tamp down

0:41:44.760 --> 0:41:48.040
<v Speaker 15>expectations said they were going to rely on two paths

0:41:48.080 --> 0:41:50.640
<v Speaker 15>for training its AI models.

0:41:50.880 --> 0:41:52.839
<v Speaker 8>One would be this dojo thing.

0:41:52.880 --> 0:41:57.319
<v Speaker 15>The other would would rely on Nvidia chips, the same

0:41:57.480 --> 0:42:00.680
<v Speaker 15>very expensive chips that everyone is essentially using to train

0:42:00.760 --> 0:42:04.760
<v Speaker 15>their models. So it is it's a setback, but maybe

0:42:04.800 --> 0:42:07.759
<v Speaker 15>but I don't think it's devastating. I think what is

0:42:08.040 --> 0:42:11.360
<v Speaker 15>maybe more troubling is just losing talent. Right we're in

0:42:11.360 --> 0:42:16.640
<v Speaker 15>the middle of this AI talent war. Tesla historically has

0:42:16.680 --> 0:42:18.960
<v Speaker 15>been very competitive. Of course, the stock you know, for

0:42:19.040 --> 0:42:22.839
<v Speaker 15>for a while was just exploding and it has been

0:42:22.840 --> 0:42:25.480
<v Speaker 15>fairly stagnant over the last couple of years.

0:42:25.640 --> 0:42:27.600
<v Speaker 8>And I think you're, you know, you're seeing that, right.

0:42:27.600 --> 0:42:30.879
<v Speaker 15>There are startups out there and these kind of very

0:42:31.000 --> 0:42:34.279
<v Speaker 15>large privately held companies like open Ai and Thenthropic that

0:42:34.400 --> 0:42:39.719
<v Speaker 15>are just throwing huge sums of money at developers, and you're,

0:42:39.760 --> 0:42:42.439
<v Speaker 15>you know, you're seeing Tesla clearly like struggle a little

0:42:42.480 --> 0:42:44.160
<v Speaker 15>bit to keep up and retain.

0:42:44.160 --> 0:42:47.200
<v Speaker 3>And does CI now forming as a new startup to

0:42:47.400 --> 0:42:50.280
<v Speaker 3>take on the world of hardware and AI max Briefly,

0:42:50.360 --> 0:42:52.600
<v Speaker 3>I mean Elon responded saying that it doesn't make sense

0:42:52.640 --> 0:42:55.520
<v Speaker 3>have two different avenues for chips, and AC.

0:42:55.560 --> 0:42:57.560
<v Speaker 2>Fifteen and A sixteen they're going to continue with.

0:42:58.040 --> 0:43:00.960
<v Speaker 3>But more broadly, this was thinking of the way it

0:43:01.040 --> 0:43:04.800
<v Speaker 3>set upself apart for the future of supercomputing being vertically integrated.

0:43:04.960 --> 0:43:07.000
<v Speaker 2>Maugazani thought would be five hundred million dollars added to

0:43:07.080 --> 0:43:07.680
<v Speaker 2>the market cap.

0:43:08.640 --> 0:43:12.440
<v Speaker 15>Yeah, and all those estimates, of course look look silly,

0:43:12.800 --> 0:43:15.839
<v Speaker 15>and I think you have to ask yourself there are

0:43:15.840 --> 0:43:20.760
<v Speaker 15>lots of estimates like that around Tesla and it's AI ambitions,

0:43:21.320 --> 0:43:23.759
<v Speaker 15>few of which are really realized yet, and it does

0:43:23.840 --> 0:43:25.960
<v Speaker 15>make you wonder like, should we revisit some of those

0:43:26.000 --> 0:43:30.320
<v Speaker 15>other assumptions, you know, people talking about valuations in the trillions.

0:43:31.239 --> 0:43:34.120
<v Speaker 8>You know. Look, Elon Musk said this was a moonshot.

0:43:34.200 --> 0:43:36.719
<v Speaker 15>I think it was kind of a moonshot because the

0:43:36.800 --> 0:43:41.200
<v Speaker 15>truth is Nvidia dominates this market, the market for training chips,

0:43:41.520 --> 0:43:44.239
<v Speaker 15>and Elon Musk took a crack but wasn't able to

0:43:44.239 --> 0:43:44.600
<v Speaker 15>get there.

0:43:45.000 --> 0:43:48.240
<v Speaker 3>Bloomberg's Max Chafkin. Tune in to Elon ink It's weekly.

0:43:48.280 --> 0:43:50.400
<v Speaker 3>We thank you so much. Now that does it for

0:43:50.480 --> 0:43:51.560
<v Speaker 3>this edition of Bloomberg Tech.

0:43:51.600 --> 0:43:53.000
<v Speaker 2>Quick check in on the markets for you.

0:43:53.280 --> 0:43:56.040
<v Speaker 3>We're off by eight ten percent on bitcoin, digital gold,

0:43:56.080 --> 0:43:59.319
<v Speaker 3>but real gold flat. But boy, we can potentially see

0:43:59.320 --> 0:44:01.880
<v Speaker 3>some tariffs on all bars affecting Switzerland in particular.

0:44:02.000 --> 0:44:02.719
<v Speaker 2>Keep an eye on that story.

0:44:02.800 --> 0:44:06.040
<v Speaker 3>Nasat one hundred are by eight ten percent, a new

0:44:06.080 --> 0:44:06.600
<v Speaker 3>record high.

0:44:06.640 --> 0:44:09.840
<v Speaker 2>Folks, check out our podcast. You can find one in

0:44:09.880 --> 0:44:11.719
<v Speaker 2>the terminal. This is Bluemberg Tech