WEBVTT - Intel Earnings Signal Possible Comeback

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

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

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<v Speaker 1>and Eva Low in Sent Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. Intel returns to profitability.

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<v Speaker 2>It gives an upbeat revenue forecasts. Are the chip makers

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<v Speaker 2>comeback efforts working.

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<v Speaker 3>Plus banks for preparing to launch a thirty eight billion

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<v Speaker 3>dollar debt offering to help fund data centers tied to Oracle.

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<v Speaker 3>It's a record for AI.

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<v Speaker 2>Infrastructure, and Mistraus's CEO, Arthur Mench joins us on the

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<v Speaker 2>company's release of a new platform to help enterprise clients

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<v Speaker 2>make customizable AI tools.

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<v Speaker 3>An important private market conversation. We get back to the

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<v Speaker 3>public markets to end this week. We are at a

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<v Speaker 3>new record high when you're looking at the SMP, when

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<v Speaker 3>you're looking at the NASDAC, we're up two percent of

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<v Speaker 3>the course of the last five days. But a real

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<v Speaker 3>tick hire on the day ed the macro picture, the

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<v Speaker 3>inflation cooler than many had worried about, and indeed that

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<v Speaker 3>gives a bedroom to run when it comes to maybe

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<v Speaker 3>some more cuts that the market has already been pricing in.

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<v Speaker 3>We've got China us. We've got plenty to be digesting,

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<v Speaker 3>and you're looking at earnings.

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<v Speaker 2>Yeah, in the earnings context, Intel's post earnings rally has

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<v Speaker 2>basically completely faded. A gain of more than seven percent

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<v Speaker 2>is now less than one percent, but profitable for the

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<v Speaker 2>first time in a long time on a net income basis.

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<v Speaker 2>The PC market was better than they expected. They're making

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<v Speaker 2>some progress in server, even a little bit in foundry.

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<v Speaker 2>The issue is that the quarter was all about getting

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<v Speaker 2>money from anyone they could, clearing some of the debt,

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<v Speaker 2>and there's still a lot of unknowns about how far

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<v Speaker 2>there's left to go on this turnaround plan.

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<v Speaker 3>Correct, Yeah, let's get about where some of the holes

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<v Speaker 3>are still left on Intel Counjin surmanis with US beming

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<v Speaker 3>intelligence senior analysts covering semiconductors, and we are still left

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<v Speaker 3>with a lot to chew on. Because clearly PC doing

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<v Speaker 3>a bit better, maybe even CPUs getting into those data centers.

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<v Speaker 3>But what about the next iteration of fabrication of chips.

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<v Speaker 4>This result shows the first sign in the right direction,

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<v Speaker 4>sort of a turnaround, a beginning of a turnaround. You know,

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<v Speaker 4>the gross margin headwinds. Like you said, the challenges are

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<v Speaker 4>not gone away. But what they showed yesterday where they

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<v Speaker 4>are running their demand is running ahead of the supply,

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<v Speaker 4>which it will be for the first chapter twenty six.

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<v Speaker 4>There were structural gross margin improvements, though we will not

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<v Speaker 4>see a gross margin expansion next year, primarily due to

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<v Speaker 4>the new eighteen A coming on their exit from the

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<v Speaker 4>ALTA business, which was their highest gross margin business.

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<v Speaker 5>But structurally under.

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<v Speaker 4>When you peel the onion, we like what they're doing.

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<v Speaker 4>Most of the eighteen A will be moving from Oregon

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<v Speaker 4>to Arizona, which is a better cost structure fab to

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<v Speaker 4>begin with, a lot more volume will be coming back

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<v Speaker 4>to Intel's foundries, which is better for them as they

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<v Speaker 4>go through the initial transition cost and the revenue scale,

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<v Speaker 4>which it is showing from the higher demand and PCA

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<v Speaker 4>Data center improves slowly structurally the overall gross margins to

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<v Speaker 4>start to keep well.

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<v Speaker 2>I don't know what happened, Conjum, but in the time

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<v Speaker 2>you've been speaking, Intel's now flat and eliminated all of

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<v Speaker 2>its gain of the day. And I'm not saying that's

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<v Speaker 2>your fault. I'm just making the observation. Look, when I

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<v Speaker 2>spoke to the CFO Dave's Instagram the phone, he was

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<v Speaker 2>a bit surprised by some of the end markets that

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<v Speaker 2>they're relying on. On the product side, servers in particular.

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<v Speaker 2>The basic argument they're making is the hyperscalers has suddenly

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<v Speaker 2>realized that you have to at some point update your CPUs,

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<v Speaker 2>you have to invest in them, and so now they're

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<v Speaker 2>saying that actually on a year on year basis, they'll

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<v Speaker 2>see unit growth.

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<v Speaker 6>What did you make of that?

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<v Speaker 4>You know, that is a very credible story to believe in.

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<v Speaker 4>We have seen signs of this in other markets. For example,

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<v Speaker 4>the storage server market has been seeing a big demand

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<v Speaker 4>when it comes to HDD. So when you think about

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<v Speaker 4>every time when we're pinging something like a co pilot,

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<v Speaker 4>it's going and clearing or analyzing data which was sitting

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<v Speaker 4>dormant for the past six months, so the storage servers

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<v Speaker 4>were not really.

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<v Speaker 5>Using them cuddly.

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<v Speaker 4>Now we're pinging them four to five times, So that

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<v Speaker 4>does you know, it is a credible story to believe

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<v Speaker 4>that the need for CPO, even outside AI servers, is

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<v Speaker 4>going to increase now as we involve more and more AI.

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<v Speaker 5>In our world.

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<v Speaker 2>Day Conjensavania Bloomberg Intelligence. Later in the show, we'll get

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<v Speaker 2>more on Intel from the cell side. Meanwhile, banks are

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<v Speaker 2>reportedly preparing a thirty eight billion dollar debt offering for

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<v Speaker 2>data centers tied to Oracle. Sources say the deal could

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<v Speaker 2>launch as soon as Monday, with JP Morgan a MUFG

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<v Speaker 2>among the lead banks. Here to discuss, Bloomberg Intelligence Senior

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<v Speaker 2>tech analyst Anna rag Rana, there's a key point of

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<v Speaker 2>clarification here that Caroline made to the team earlier in

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<v Speaker 2>the chat, and it's not Oracle taking on this debt.

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<v Speaker 2>Its advantage the developer who will do the project. Even so,

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<v Speaker 2>when you see a news piece like that about that

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<v Speaker 2>level of debt supporting the build out in infrastructure, what

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<v Speaker 2>is your reaction to it.

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<v Speaker 7>No, that's a very good point, and in fact, you know,

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<v Speaker 7>I had a very good conversation with our credit analyst,

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<v Speaker 7>Rob Schiffman, and we discussed this quite a bit. We

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<v Speaker 7>have seen something like this coming from other places as well,

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<v Speaker 7>which is when you have a contract from a particular vendor,

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<v Speaker 7>you know you can create, you could an asset back

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<v Speaker 7>securitization product where the contract itself says there is revenue

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<v Speaker 7>that's going to come in the future. So the question

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<v Speaker 7>is whether they're going to be appetite for such large

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<v Speaker 7>dead deals going forward as well, because I think that's

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<v Speaker 7>critical for recognizing a lot of that RPO that's coming

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<v Speaker 7>in into revenue. Otherwise, you know it's going to be

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<v Speaker 7>very difficult to convert that into sales.

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<v Speaker 3>This is about yield, and for the facilities related to advantage,

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<v Speaker 3>they're expected to come to you in about four years

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<v Speaker 3>is about two one year extension options. You're getting two

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<v Speaker 3>and a half percentage points over benchmark those. So people

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<v Speaker 3>who are clamoring to get exposure to the AI narrative

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<v Speaker 3>now just have to do it through equity. They can

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<v Speaker 3>do it through debt, and they can do it in

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<v Speaker 3>a nice yield. More broadly, are we going to see

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<v Speaker 3>these sorts of packages come in this sort of sheer

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<v Speaker 3>scale because of the need that we've got out there

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<v Speaker 3>at the moment.

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<v Speaker 7>So you have to because I think about it, if

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<v Speaker 7>Open Eye has signed a deal worth three hundred billion

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<v Speaker 7>dollars with Oracle, you know, how are you going to

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<v Speaker 7>finance that? How are you going to convert that contract

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<v Speaker 7>into sales? And you need data centers to come there,

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<v Speaker 7>you need equipment, and finally that needs to be realized.

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<v Speaker 7>So we are expecting a lot more in the market.

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<v Speaker 7>The question is whether the private debt market has the

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<v Speaker 7>ability to, you know, basically absorb this level of.

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<v Speaker 5>Debt or not.

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<v Speaker 3>Arak Rana, I'm pretty big intelligence. We'll see how this

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<v Speaker 3>does get absorbed. It's coming to the market as soon

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<v Speaker 3>as Monday. But let's just talk more broadly about what's

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<v Speaker 3>happening in the debt markets, when it comes to tech,

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<v Speaker 3>when it's happening in the equity markets, which are actually

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<v Speaker 3>tech help performing in that particular area. Today, you've got earnings,

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<v Speaker 3>you've got hopes on the China US trade talks, you've

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<v Speaker 3>got stock ticketing on record. After that CPI number came

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<v Speaker 3>in with well a relief that the Fed will potentially

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<v Speaker 3>keep on cutting at the rate in the market things.

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<v Speaker 3>Martin Norton's with US Chief Investment Strategies at EMPOWER. I

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<v Speaker 3>want to go back to what we're just talking about

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<v Speaker 3>and the debt that's coming to the market and the

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<v Speaker 3>absorption that's going to be happening. I'm looking at a

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<v Speaker 3>story right now saying that the Bank of England is

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<v Speaker 3>actually probing data center lending because they're weren't about AI

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<v Speaker 3>bubbles brewing. Is this something you're starting to hear about

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<v Speaker 3>in the market.

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<v Speaker 8>Martyr.

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<v Speaker 9>Well, it's so interesting because a lot of the rationale

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<v Speaker 9>for the I guess complacency around the AI trade has

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<v Speaker 9>been that this is largely being funded by very well capitalized,

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<v Speaker 9>very strong hyperscalers, and the companies are not taking on debt.

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<v Speaker 9>They're using what they have to extend into this space.

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<v Speaker 9>But now in the most recent month, we are beginning

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<v Speaker 9>to see more debt issuance, and I think when you

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<v Speaker 9>think about the scale of investment and the ratio of

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<v Speaker 9>capex to revenue that we're seeing, even the hyperscalers, it

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<v Speaker 9>does argue that we're going to have to use a

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<v Speaker 9>broader range of financing to meet some of the targets

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<v Speaker 9>that we have, And of course that's the signal that

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<v Speaker 9>folks are looking for that there is an AI bubble now,

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<v Speaker 9>you know. I think there's a real difference between extreme valuations,

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<v Speaker 9>which is where I think we are in an AI bubble.

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<v Speaker 9>I think the sentiment has to get more aggressive. I

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<v Speaker 9>think we would have to see far more debt issue.

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<v Speaker 9>I think we've our I guess kind of wildness around it.

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<v Speaker 3>We're getting a few hits to the line. Mart we

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<v Speaker 3>need more compute I'm interested in. Look, five trillion is

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<v Speaker 3>what the spending is likely to be up to twenty

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<v Speaker 3>thirty if we're going to get the data center and

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<v Speaker 3>compute necessary to fuel the AI viewpoint. To that end,

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<v Speaker 3>when you're thinking about clients coming to you saying I

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<v Speaker 3>want exposure, I want it to be cross asset. Are

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<v Speaker 3>you saying don't how you talking about the diversification between

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<v Speaker 3>equity exposure and debt exposure foot bonds and the like.

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<v Speaker 9>Well, at this point, I mean the primary to AI

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<v Speaker 9>still within the equity market. I think this is something

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<v Speaker 9>that especially for the active credit managers, it is an

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<v Speaker 9>opportunity to vet.

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<v Speaker 8>You know, you can get that added yield.

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<v Speaker 9>As suggested, but I do think people want to be

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<v Speaker 9>really cautious in terms of adding that debt. One thing

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<v Speaker 9>that we're talking about a lot in the credit market

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<v Speaker 9>is just how tight spreads are, and so that is

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<v Speaker 9>we want to watch to make sure that isn't you know,

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<v Speaker 9>evaluation risk within the within the credit market.

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<v Speaker 2>Martya earnings was a factor in this market.

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<v Speaker 6>This morning.

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<v Speaker 2>When I came to my desk, we showed Intel actually

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<v Speaker 2>is now basically flat. Even so, in the course of

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<v Speaker 2>a conversation we had with Intel CFO Dave's insner. He

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<v Speaker 2>made for an interesting case study, which is that he

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<v Speaker 2>said they had been very cautious about tariffs, but the

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<v Speaker 2>impact wasn't there in the end, and actually in the

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<v Speaker 2>PC segment on which they depend, shipments were very strong,

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<v Speaker 2>stronger than they had anticipated. Just as a case study,

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<v Speaker 2>you know, that's really interesting data to me.

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<v Speaker 6>What do you make of it?

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<v Speaker 9>I mean, it's totally interesting, and it really echoes what

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<v Speaker 9>we've seen over the course of twenty twenty five, which

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<v Speaker 9>is this sea change in trade policy and yet really

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<v Speaker 9>no discernible effect from either an earnings perspective or from

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<v Speaker 9>an inflation perspective. Our emphasis over this period has been

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<v Speaker 9>expecting to see some hit to earnings, less concern on

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<v Speaker 9>the inflation front, and I think one thing that we're

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<v Speaker 9>really learning over this process is that you can see

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<v Speaker 9>a sea change in policy and yet not necessarily see

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<v Speaker 9>the impact immediately. I think the concern I would raise

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<v Speaker 9>to investors is just because you don't see an immediate

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<v Speaker 9>impact doesn't mean there isn't an impact. When we look

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<v Speaker 9>at that long term implications of globalization on earnings, it

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<v Speaker 9>has been a real positive for the US and globally,

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<v Speaker 9>and so as we roll that back, it stands to

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<v Speaker 9>reason that it is a headwind. Maybe a headwind that

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<v Speaker 9>we can overcome, but a headwind nevertheless.

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<v Speaker 2>Marta, please respond to what is one of the top

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<v Speaker 2>news stories of the day. President Trump says he's halted

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<v Speaker 2>trade talks with Canada because of an advertisement that they ran,

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<v Speaker 2>citing a Reagan era comment, you're aware of it. In response,

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<v Speaker 2>Mark Carney says that trade talks were making progress before

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<v Speaker 2>the president's post on true Social again as a case

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<v Speaker 2>study of trade and policy in this market.

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<v Speaker 6>Your reaction to it.

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<v Speaker 9>Well, I guess I would say that that trade talks

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<v Speaker 9>are the toddler that just won't go to bed.

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<v Speaker 8>I don't think this story is really over yet.

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<v Speaker 9>I mean, we have a lot of certainty, I guess

0:11:36.520 --> 0:11:39.440
<v Speaker 9>in terms of the overall effective terrif rate, but the

0:11:39.600 --> 0:11:42.640
<v Speaker 9>fine details of what those trade talks look like, yes,

0:11:42.720 --> 0:11:45.160
<v Speaker 9>with Canada, but also of course there's still a lot.

0:11:45.000 --> 0:11:46.800
<v Speaker 8>Of negotiation with China.

0:11:46.880 --> 0:11:48.920
<v Speaker 9>So I think this is something that will be this

0:11:49.040 --> 0:11:51.520
<v Speaker 9>kind of lingering volatility within the market.

0:11:51.840 --> 0:11:55.280
<v Speaker 3>Marta, you have a sea of parents of young children

0:11:55.360 --> 0:11:59.760
<v Speaker 3>who are just feeling that pain analogy really beautifully. Thank

0:11:59.800 --> 0:12:02.880
<v Speaker 3>your just I want to go back to the very

0:12:02.960 --> 0:12:06.640
<v Speaker 3>star of our conversation and they say that valuations you

0:12:06.760 --> 0:12:12.160
<v Speaker 3>think are extended where exactly and what will earnings have

0:12:12.240 --> 0:12:14.439
<v Speaker 3>to vindicate which types of companies.

0:12:15.720 --> 0:12:20.040
<v Speaker 9>Well, when we're looking at the US market broadly, really

0:12:20.200 --> 0:12:24.400
<v Speaker 9>every sector from our vantage point, with one exception, is

0:12:24.520 --> 0:12:27.880
<v Speaker 9>quite expensive. And when we talk about expensiveness, we're looking

0:12:27.920 --> 0:12:31.320
<v Speaker 9>at sectors and de siles of valuation relative to their

0:12:31.360 --> 0:12:34.240
<v Speaker 9>own history, and what we're seeing is valuations that are

0:12:34.280 --> 0:12:36.880
<v Speaker 9>really in those ninth and tenth deciles. And that's when

0:12:36.920 --> 0:12:40.160
<v Speaker 9>that starts to matter to perspective three year returns. When

0:12:40.200 --> 0:12:42.720
<v Speaker 9>we look under the hood and technology, we really see

0:12:42.720 --> 0:12:45.520
<v Speaker 9>it across industries. Now, that doesn't mean that these stocks

0:12:45.520 --> 0:12:48.720
<v Speaker 9>can't grind higher, and if we do see upside surprise

0:12:48.840 --> 0:12:53.160
<v Speaker 9>within earnings, potentially that could push the stock market even further.

0:12:53.480 --> 0:12:56.319
<v Speaker 9>I think the idea here is that there's just low immunity.

0:12:56.600 --> 0:12:58.840
<v Speaker 9>So if we were to get an earning season that

0:12:59.120 --> 0:13:01.840
<v Speaker 9>people expect, I think that's a lot harder to move

0:13:01.880 --> 0:13:02.600
<v Speaker 9>the stock market.

0:13:02.840 --> 0:13:04.440
<v Speaker 8>I will do a shout out to healthcare.

0:13:04.520 --> 0:13:07.200
<v Speaker 9>This is something we've been surfacing since the summer This

0:13:07.240 --> 0:13:10.560
<v Speaker 9>is one of those areas that is more attractively priced.

0:13:10.600 --> 0:13:13.360
<v Speaker 9>It has a lot of problems that it faces, but

0:13:13.440 --> 0:13:15.920
<v Speaker 9>it also has, you know, the potential to benefit from

0:13:15.960 --> 0:13:18.440
<v Speaker 9>something like AI. So that's one of those areas that

0:13:18.480 --> 0:13:20.240
<v Speaker 9>we're looking to in this environment.

0:13:21.320 --> 0:13:24.960
<v Speaker 2>Martin Orton, chief investment Strategist to empower, thank you very much.

0:13:25.520 --> 0:13:28.920
<v Speaker 2>A Clara Resources and Exploration and Mining Services provide a

0:13:29.000 --> 0:13:31.440
<v Speaker 2>plans to build a two hundred and twenty seventy seven

0:13:31.440 --> 0:13:34.520
<v Speaker 2>million dollar rare Earth's plant in Louisiana, the first of

0:13:34.559 --> 0:13:37.760
<v Speaker 2>its type in the US. This comes as Western nations

0:13:37.760 --> 0:13:41.720
<v Speaker 2>attempt to reduce reliance on China, currently the dominant supplier.

0:13:42.000 --> 0:13:45.439
<v Speaker 2>The facility will process material from m clara's clay deposits

0:13:45.440 --> 0:13:49.040
<v Speaker 2>in Brazil and Chile for magnets used in evs and

0:13:49.080 --> 0:13:53.000
<v Speaker 2>wind turbines, and construction is expected to be completed by

0:13:53.000 --> 0:13:54.160
<v Speaker 2>the end of twenty twenty seven.

0:13:54.760 --> 0:13:57.840
<v Speaker 3>And coming up so much for pet rocks, hey. JP

0:13:58.000 --> 0:14:00.439
<v Speaker 3>Morgan takes another big step into the crypto world. More

0:14:00.440 --> 0:14:02.320
<v Speaker 3>on that next. This is Bloomberg Tech.

0:14:17.760 --> 0:14:20.800
<v Speaker 2>JP Morgan is set to allow clients to use bitcoin

0:14:20.960 --> 0:14:24.560
<v Speaker 2>in Ether as collateral for loans. That's according to sources

0:14:24.920 --> 0:14:27.640
<v Speaker 2>the move marks a deeper step into crypto for Wall Street.

0:14:27.640 --> 0:14:31.640
<v Speaker 2>Bloomberg's digital finance reporter Emily Nicole broke the story, joins us, now,

0:14:32.280 --> 0:14:34.840
<v Speaker 2>I think it's really important to go through the mechanics

0:14:35.000 --> 0:14:40.440
<v Speaker 2>of what we think this will work as right, institutional clients,

0:14:40.920 --> 0:14:42.920
<v Speaker 2>what they can do is collateral and then what the

0:14:42.960 --> 0:14:44.440
<v Speaker 2>bank will do in return take it away.

0:14:45.000 --> 0:14:47.440
<v Speaker 10>Yes, so what we've been hearing is that JP Morgan

0:14:47.480 --> 0:14:49.520
<v Speaker 10>will be allowing this by the end of this year.

0:14:50.000 --> 0:14:52.600
<v Speaker 10>What the process would look like is where institutional clients

0:14:52.640 --> 0:14:55.320
<v Speaker 10>come to JP Morgan with holdings of bitcoin and ether

0:14:55.400 --> 0:14:58.080
<v Speaker 10>that they already own that would then be transferred to

0:14:58.160 --> 0:15:00.920
<v Speaker 10>a third party custodian that JP Morgan well the point,

0:15:01.120 --> 0:15:03.000
<v Speaker 10>who will look after the cryptos so the bank doesn't

0:15:03.040 --> 0:15:05.400
<v Speaker 10>have to touch themselves, and that can be used as

0:15:05.440 --> 0:15:08.360
<v Speaker 10>collateral for financing that the bank can lend against.

0:15:09.200 --> 0:15:12.560
<v Speaker 3>What's really interesting is the context of JP Morgan and

0:15:12.600 --> 0:15:15.240
<v Speaker 3>shall I say Jamie Diamond's relationship with crypto, because it

0:15:15.240 --> 0:15:17.960
<v Speaker 3>was a few years ago he was calling them pet rocks,

0:15:18.240 --> 0:15:21.400
<v Speaker 3>hyped up fraud and now most recently in your story,

0:15:21.400 --> 0:15:23.760
<v Speaker 3>which is a beautiful quote talking about I don't think

0:15:23.800 --> 0:15:26.160
<v Speaker 3>we should smoke, but I defend your right to smoke.

0:15:26.280 --> 0:15:28.720
<v Speaker 3>Is that why they're not going to be custodian while

0:15:28.720 --> 0:15:30.840
<v Speaker 3>they're letting others like State Street Bank of New York,

0:15:30.840 --> 0:15:34.120
<v Speaker 3>Mellon Fidelity still play that game rather than JP Morgan itself.

0:15:36.040 --> 0:15:38.160
<v Speaker 10>There's definitely a bit of a divide in terms of

0:15:38.240 --> 0:15:41.640
<v Speaker 10>how banks want to touch crypto. Some like JP Morgan

0:15:41.680 --> 0:15:43.680
<v Speaker 10>are happy for clients to touch it, but they don't

0:15:43.680 --> 0:15:46.320
<v Speaker 10>necessarily want to be involved in touching it themselves. So

0:15:46.440 --> 0:15:48.920
<v Speaker 10>earlier this summer, for example, this started out with JP

0:15:49.000 --> 0:15:52.000
<v Speaker 10>Morgan allowing clients to use crypto ETFs as clateral, so

0:15:52.360 --> 0:15:54.920
<v Speaker 10>traditional finance rappers that they're used to touching, but it

0:15:55.040 --> 0:15:57.640
<v Speaker 10>tracks the price of a cryptocurrency. This is a step

0:15:57.680 --> 0:15:59.240
<v Speaker 10>further than that, but they're still not getting to the

0:15:59.280 --> 0:16:01.440
<v Speaker 10>point of why they'd want to touch the crypto directly.

0:16:01.800 --> 0:16:03.960
<v Speaker 10>It should be no though, it's pretty difficult for banks

0:16:03.960 --> 0:16:06.560
<v Speaker 10>to touch cryptodirectly sometimes because there are rules like the

0:16:06.600 --> 0:16:10.160
<v Speaker 10>buzz or rules on banking that prevent them from touching

0:16:10.200 --> 0:16:12.880
<v Speaker 10>crypto without having to hold an equivalent amount of capital

0:16:12.920 --> 0:16:15.040
<v Speaker 10>and reserve at the same time. It can get pretty

0:16:15.080 --> 0:16:17.160
<v Speaker 10>expensive unless you've got the right structures in place.

0:16:17.960 --> 0:16:20.040
<v Speaker 3>There's a lot of institutions and a lot of private

0:16:20.040 --> 0:16:22.280
<v Speaker 3>individuals have a lot of crypto gains they want to

0:16:22.320 --> 0:16:24.680
<v Speaker 3>be able to use as collateral. Emily Nicole, it's a

0:16:24.680 --> 0:16:28.600
<v Speaker 3>great story. Thank you coming up. Google says it's reached

0:16:28.640 --> 0:16:31.680
<v Speaker 3>another new milestone in quantum technology. It's a step that

0:16:31.840 --> 0:16:34.440
<v Speaker 3>could bring the long promise power of quantum computing closer

0:16:34.440 --> 0:16:36.880
<v Speaker 3>to reality. One of the next this has been their tech.

0:16:52.200 --> 0:16:55.800
<v Speaker 2>Google says it achieved a major milestone in quantum computing,

0:16:55.840 --> 0:16:59.760
<v Speaker 2>bringing the technology's immense processing power a step closer to

0:16:59.800 --> 0:17:02.280
<v Speaker 2>real world use. The company says it ran an algorithm

0:17:02.520 --> 0:17:06.520
<v Speaker 2>on its Willow quantum chip that is verifiable and thirteen

0:17:06.600 --> 0:17:11.960
<v Speaker 2>thousand times faster than today's best supercomputers. Let's discuss with

0:17:12.040 --> 0:17:16.359
<v Speaker 2>Koreana Chow, chief operating officer at Google Quantum AI. I

0:17:16.359 --> 0:17:18.240
<v Speaker 2>think actually the best place to start is the basics

0:17:18.240 --> 0:17:22.280
<v Speaker 2>of quantum computing versus accelerated or supercomputing, because if you

0:17:22.440 --> 0:17:27.119
<v Speaker 2>explain why that thirteen thousand x performance is notable in

0:17:27.200 --> 0:17:30.399
<v Speaker 2>simple terms, it gives some measure of why it's a

0:17:30.400 --> 0:17:31.800
<v Speaker 2>piece of news this week.

0:17:32.000 --> 0:17:36.760
<v Speaker 11>Absolutely, today's computers classical computers, they use bits right zeros

0:17:36.800 --> 0:17:39.720
<v Speaker 11>and once they use that to calculate, it's useful.

0:17:39.400 --> 0:17:41.479
<v Speaker 6>For a number of different problems across the world.

0:17:41.800 --> 0:17:45.560
<v Speaker 11>However, quantum computing is different uses a combination of zeros

0:17:45.560 --> 0:17:48.199
<v Speaker 11>and ones at the same time that enables access to

0:17:48.240 --> 0:17:51.280
<v Speaker 11>different types of problems, like the quantum echoes algorithm we

0:17:51.280 --> 0:17:52.199
<v Speaker 11>announced this week.

0:17:52.359 --> 0:17:54.439
<v Speaker 2>You have brought Willow with you, You've put it in

0:17:54.440 --> 0:17:58.199
<v Speaker 2>an impenetrable safe housing and casing. There it is on

0:17:58.240 --> 0:17:59.840
<v Speaker 2>the desk in front of me. I read a lot

0:17:59.840 --> 0:18:03.320
<v Speaker 2>of academic papers this week, and many point out that

0:18:03.359 --> 0:18:06.919
<v Speaker 2>you didn't use a scalable or fault tolerant chip for

0:18:06.960 --> 0:18:09.520
<v Speaker 2>this demo, and so the argument follows that it would

0:18:09.560 --> 0:18:12.280
<v Speaker 2>be a big challenge for you to commercialize or scale

0:18:12.320 --> 0:18:16.119
<v Speaker 2>out that technology. Is that a fair concern from the

0:18:16.160 --> 0:18:17.119
<v Speaker 2>academic community.

0:18:17.240 --> 0:18:20.000
<v Speaker 11>That is the goal of quantum computing, to get to

0:18:20.119 --> 0:18:23.200
<v Speaker 11>fault tolerant quantum computing. Nobody is there yet. It is

0:18:23.280 --> 0:18:25.880
<v Speaker 11>a long journey, but it is very exciting. We've been

0:18:25.920 --> 0:18:28.520
<v Speaker 11>excited last December to announce for the first time that

0:18:28.640 --> 0:18:32.000
<v Speaker 11>error correction can work. We demonstrated that with our Willow chip,

0:18:32.200 --> 0:18:34.840
<v Speaker 11>and we continue on this journey pushing the number of

0:18:34.880 --> 0:18:37.360
<v Speaker 11>cubits and also bringing the errors way down.

0:18:37.840 --> 0:18:40.800
<v Speaker 3>And it's the timing now, Karina, what is it five

0:18:40.880 --> 0:18:43.600
<v Speaker 3>years do we get something that actually will show quantum

0:18:43.600 --> 0:18:48.120
<v Speaker 3>computing being really applicable and useful in the areas of science,

0:18:48.160 --> 0:18:51.440
<v Speaker 3>in the area of medicine. Why that timeline in particular.

0:18:52.359 --> 0:18:55.920
<v Speaker 11>Yeah, we are optimistic that we'll see real world applications

0:18:55.920 --> 0:18:59.720
<v Speaker 11>that are only possible on quantum computers in the next

0:18:59.760 --> 0:19:03.120
<v Speaker 11>five five years. You know, this breakthrough that we announced

0:19:03.119 --> 0:19:06.879
<v Speaker 11>this week is a great milestone towards that path. We

0:19:07.040 --> 0:19:10.520
<v Speaker 11>showed that quantum echoes, this algorithm is not only thirteen

0:19:10.560 --> 0:19:13.560
<v Speaker 11>thousand times faster on a quantum chip, but that it

0:19:13.600 --> 0:19:17.760
<v Speaker 11>can be used to simulate and calculate the exact structure

0:19:17.760 --> 0:19:19.879
<v Speaker 11>of a molecule. So we think this is an important

0:19:19.880 --> 0:19:20.600
<v Speaker 11>step on the past.

0:19:20.640 --> 0:19:23.200
<v Speaker 3>Someone on your team, we're on the twenty twenty five

0:19:23.280 --> 0:19:26.119
<v Speaker 3>Nobel Prize in physics was among the winners. You have

0:19:26.200 --> 0:19:30.480
<v Speaker 3>hert and leading the charge. We have real stellar well talent,

0:19:30.680 --> 0:19:32.960
<v Speaker 3>but also a lot of investment. What did you make

0:19:33.000 --> 0:19:35.760
<v Speaker 3>of the news the flow that maybe the US government

0:19:35.880 --> 0:19:38.480
<v Speaker 3>is there to support other smaller quantum players here in

0:19:38.480 --> 0:19:41.399
<v Speaker 3>the United States? Is that important? Yeah?

0:19:41.480 --> 0:19:44.000
<v Speaker 11>We are really excited and pleased to see all of

0:19:44.040 --> 0:19:48.120
<v Speaker 11>the investment, the support, the excitement about quantum computing across

0:19:48.160 --> 0:19:52.040
<v Speaker 11>the board. US government has been a strong supporter and

0:19:52.240 --> 0:19:55.280
<v Speaker 11>partner in this for the last many years, and we're

0:19:55.359 --> 0:19:59.200
<v Speaker 11>very excited about those investments and continue partnership across the ecosystem.

0:19:59.359 --> 0:20:02.880
<v Speaker 2>Crini, the COO of the Quantum Group, right, And we

0:20:02.920 --> 0:20:05.600
<v Speaker 2>reflected earlier in the week on the show when the

0:20:05.640 --> 0:20:10.360
<v Speaker 2>headline hit the Bloomberg about this breakthrough. Actually markets reacted,

0:20:10.480 --> 0:20:13.959
<v Speaker 2>alphabet shares moved markedly. Would you reflect a little bit

0:20:13.960 --> 0:20:17.840
<v Speaker 2>on what the days that followed that were, like, did

0:20:17.880 --> 0:20:21.200
<v Speaker 2>the phone ring off the hook from various parties that

0:20:21.280 --> 0:20:23.400
<v Speaker 2>are interested now to know more about how they might

0:20:23.400 --> 0:20:24.480
<v Speaker 2>be able to use the tech.

0:20:24.760 --> 0:20:25.040
<v Speaker 6>Yeah.

0:20:25.080 --> 0:20:28.040
<v Speaker 11>For us at Google, we are really excited about all

0:20:28.080 --> 0:20:31.199
<v Speaker 11>the interests that we're seeing across the board. Our mission

0:20:31.240 --> 0:20:33.679
<v Speaker 11>at Google Quantum AI is to build quantum computing for

0:20:33.880 --> 0:20:37.880
<v Speaker 11>otherwise unsolvable problems. I think that's why there's increasing interest

0:20:37.920 --> 0:20:40.800
<v Speaker 11>with every breakthrough. People in other fields are getting excited

0:20:40.840 --> 0:20:43.520
<v Speaker 11>about what can be possible, and we look forward to continue.

0:20:43.720 --> 0:20:46.679
<v Speaker 2>So the bar has been set now for you, what

0:20:46.800 --> 0:20:49.320
<v Speaker 2>is the next milestone that we should judge you by

0:20:49.680 --> 0:20:50.360
<v Speaker 2>in progress.

0:20:50.640 --> 0:20:53.119
<v Speaker 11>Yeah, there's going to be continued work across the board.

0:20:53.200 --> 0:20:56.320
<v Speaker 11>One really important marker of progress is continuing to push

0:20:56.320 --> 0:20:58.480
<v Speaker 11>the hardware. So you can see on this Willow chip

0:20:58.600 --> 0:21:01.359
<v Speaker 11>here it says one hundred and five Q. That's one

0:21:01.440 --> 0:21:03.600
<v Speaker 11>hundred and five cubits on our willow too fast.

0:21:03.640 --> 0:21:05.320
<v Speaker 6>Give the camera man a chance to catch up, but

0:21:05.359 --> 0:21:05.960
<v Speaker 6>he will get it.

0:21:06.040 --> 0:21:10.080
<v Speaker 11>Yeah, yes, one hundred and five cubits.

0:21:10.280 --> 0:21:11.280
<v Speaker 6>So that is great.

0:21:11.280 --> 0:21:14.440
<v Speaker 11>This has been honestly cutting edge ship. But to get

0:21:14.480 --> 0:21:16.840
<v Speaker 11>to where we want to go to solve these important

0:21:16.840 --> 0:21:21.199
<v Speaker 11>problems in chemistry, in physics, in material science, batteries, energy,

0:21:21.359 --> 0:21:24.040
<v Speaker 11>and more, we want to get to a million cubits.

0:21:24.040 --> 0:21:26.479
<v Speaker 11>So we're going to keep pushing the performance of our system.

0:21:26.680 --> 0:21:29.280
<v Speaker 11>We're also going to keep pushing the algorithm in software

0:21:29.320 --> 0:21:31.199
<v Speaker 11>developments so that we can solve these problems.

0:21:31.240 --> 0:21:33.480
<v Speaker 3>What does that take, Karina? What does that take in

0:21:33.560 --> 0:21:35.680
<v Speaker 3>terms of supply chain? What does that take in terms

0:21:35.680 --> 0:21:37.480
<v Speaker 3>of talent? What does that take in terms of focus?

0:21:38.640 --> 0:21:41.719
<v Speaker 11>Yeah, these are all really important questions. I'll start with talent.

0:21:41.880 --> 0:21:44.560
<v Speaker 11>You mentioned a Nobel Prize winner on our team.

0:21:44.600 --> 0:21:45.720
<v Speaker 3>We are super proud of.

0:21:45.680 --> 0:21:51.240
<v Speaker 11>Michelle Deveray and the entire group of teammates and body

0:21:51.280 --> 0:21:53.520
<v Speaker 11>of work that's happened over the last many decades.

0:21:54.200 --> 0:21:55.480
<v Speaker 3>We're super proud of our team.

0:21:55.520 --> 0:22:00.000
<v Speaker 11>We've got a super talented team of engineers, technicians, research scientists,

0:22:00.440 --> 0:22:03.439
<v Speaker 11>program managers and others who are pushing the boundaries of

0:22:03.480 --> 0:22:06.240
<v Speaker 11>this technology. We've got to keep bringing the best and

0:22:06.280 --> 0:22:09.240
<v Speaker 11>the brightest to our team to push the performance of

0:22:09.280 --> 0:22:10.240
<v Speaker 11>what is possible.

0:22:11.280 --> 0:22:13.880
<v Speaker 3>Kaarina Chow, it's been great speaking with you, chief operating

0:22:13.880 --> 0:22:16.359
<v Speaker 3>officer at Google Quantum AI, on the back of what

0:22:16.480 --> 0:22:19.720
<v Speaker 3>has been quite a week for your team. Congratulations. Now

0:22:19.720 --> 0:22:22.399
<v Speaker 3>coming up, we get back to Intel's earnings and the

0:22:22.520 --> 0:22:25.919
<v Speaker 3>chip makers efforts and come back from New York from

0:22:25.920 --> 0:22:27.800
<v Speaker 3>San Francisco. This is Bloomberg Tech.

0:22:48.040 --> 0:22:50.120
<v Speaker 2>Welcome back to Bloomberg Tech if you're just joining us.

0:22:50.160 --> 0:22:53.000
<v Speaker 2>Intel and its earnings were our top story, and the

0:22:53.040 --> 0:22:56.360
<v Speaker 2>stock actually has eliminated most of the gain that it had.

0:22:56.400 --> 0:22:59.159
<v Speaker 2>It opened up almost eight percent, is now up just

0:22:59.520 --> 0:23:02.000
<v Speaker 2>half of the percentage point, but trading at its highest

0:23:02.040 --> 0:23:05.359
<v Speaker 2>level since April of twenty twenty four. It has returned

0:23:05.359 --> 0:23:09.639
<v Speaker 2>to profitability. It saw surprising demand across PC and server,

0:23:09.960 --> 0:23:13.000
<v Speaker 2>and it had some fighting talk about its place in

0:23:13.040 --> 0:23:19.040
<v Speaker 2>the AI infrastructure industry, which largely was around wayfer and packaging.

0:23:19.280 --> 0:23:22.920
<v Speaker 2>Not as exciting as GPU. But it's worth digging into numbers.

0:23:22.640 --> 0:23:24.720
<v Speaker 3>Character and is we can do that with a perfect person.

0:23:24.800 --> 0:23:27.119
<v Speaker 3>Pierre Farrago is with US New Street Research, head of

0:23:27.160 --> 0:23:30.160
<v Speaker 3>Global Tech Infrastructure joining us and look, we have seen

0:23:30.400 --> 0:23:32.879
<v Speaker 3>the games fade. What did you make of the numbers?

0:23:32.960 --> 0:23:35.080
<v Speaker 3>Was there enough there to keep the share price rallying

0:23:35.119 --> 0:23:35.720
<v Speaker 3>as it has been.

0:23:37.320 --> 0:23:41.040
<v Speaker 12>Yeah, so the numbers for Intel on the day like

0:23:41.200 --> 0:23:46.679
<v Speaker 12>yesterday are but relatively short tone on trend. And so

0:23:46.720 --> 0:23:49.080
<v Speaker 12>the PC market has been very weak for some time.

0:23:50.480 --> 0:23:53.280
<v Speaker 12>Meeting actually expectations that we are very high because everybody

0:23:53.920 --> 0:23:56.679
<v Speaker 12>was very excited about the AIPC and things like that,

0:23:56.800 --> 0:24:00.359
<v Speaker 12>which didn't really move the needle for the math. And

0:24:00.400 --> 0:24:03.159
<v Speaker 12>so now what we see is the more traditional driver

0:24:03.359 --> 0:24:07.040
<v Speaker 12>like the Windows refresh cycle helping enterprise demand and that's

0:24:07.040 --> 0:24:10.040
<v Speaker 12>great of course. And then servers, we've seen the server

0:24:10.160 --> 0:24:13.960
<v Speaker 12>market been weak for quarters and quarters, if not years,

0:24:14.720 --> 0:24:17.240
<v Speaker 12>because you had so much focus on deploying like AI

0:24:17.359 --> 0:24:20.480
<v Speaker 12>servers that a lot of very large players were kind

0:24:20.480 --> 0:24:25.159
<v Speaker 12>of you know, deprioritizing the deployment of traditional services and

0:24:25.200 --> 0:24:27.040
<v Speaker 12>now we are entering a phase of catch ups. So

0:24:27.760 --> 0:24:30.000
<v Speaker 12>the new term for Intel looks good and it reminds

0:24:30.000 --> 0:24:32.600
<v Speaker 12>you that it's a good business, that there is operating leverage.

0:24:33.200 --> 0:24:35.080
<v Speaker 12>But even if they've lost a lot of market shirts

0:24:35.080 --> 0:24:37.879
<v Speaker 12>with MD, there are still like a market leader. So

0:24:37.920 --> 0:24:43.879
<v Speaker 12>that's great, but a very surprisingly positive but relatively short ter.

0:24:43.920 --> 0:24:46.320
<v Speaker 12>I mean, that's the way I interpret the stock movement.

0:24:46.400 --> 0:24:49.159
<v Speaker 12>You know, yeah, big grip on the news floor, and

0:24:49.200 --> 0:24:51.080
<v Speaker 12>then you look back and you're like, well, but at

0:24:51.080 --> 0:24:53.240
<v Speaker 12>the end of the day, word does really matter for Intel?

0:24:53.320 --> 0:24:56.280
<v Speaker 12>Is that really like PC demand over the next couple

0:24:56.320 --> 0:24:57.639
<v Speaker 12>of years or is that more so?

0:24:57.680 --> 0:25:01.399
<v Speaker 3>What matters. What matters is fourteen A. What matters is

0:25:01.440 --> 0:25:03.240
<v Speaker 3>are they going to be the cutting edge of the

0:25:03.280 --> 0:25:05.879
<v Speaker 3>next iteration of chips? Are they going to really rival

0:25:05.880 --> 0:25:10.160
<v Speaker 3>ty SMC and get others than Intel's own fabrication? Going,

0:25:10.760 --> 0:25:13.640
<v Speaker 3>what did you hear from Bhutan the team about that?

0:25:14.880 --> 0:25:18.080
<v Speaker 12>So I heard two things. The first one is mixed signal,

0:25:18.240 --> 0:25:22.320
<v Speaker 12>which is at eighteen A, the manufacturing is ramping, is

0:25:22.359 --> 0:25:25.720
<v Speaker 12>going to get into volumes immediately, you know, like for

0:25:25.800 --> 0:25:29.080
<v Speaker 12>the beginning of next year. But comments but the yield,

0:25:29.320 --> 0:25:31.680
<v Speaker 12>so you know, the quality of the process are still

0:25:31.840 --> 0:25:34.960
<v Speaker 12>very very mixed. Let's face it, the yields are not

0:25:35.040 --> 0:25:38.920
<v Speaker 12>good today, so early yields not being good is almost

0:25:38.960 --> 0:25:42.480
<v Speaker 12>business as usual. But I think eighteen a's performance in

0:25:42.560 --> 0:25:47.000
<v Speaker 12>terms of manufacturing performance is disappointing. And then the second

0:25:47.000 --> 0:25:49.760
<v Speaker 12>piece of news that that rematters the most for the

0:25:49.800 --> 0:25:53.199
<v Speaker 12>long term of Intel is like more positive comments. But

0:25:53.240 --> 0:25:56.960
<v Speaker 12>fourteen A. Remember three months ago, the CEO had very

0:25:57.119 --> 0:26:00.000
<v Speaker 12>cautious comments, even mentioned in writing in the ten case

0:26:00.480 --> 0:26:04.000
<v Speaker 12>as a possibility of not developing fortein a if Intel

0:26:04.040 --> 0:26:07.159
<v Speaker 12>didn't find enough customers, you got to do it. And

0:26:07.160 --> 0:26:10.119
<v Speaker 12>now they're talking positively about Fatina. On the technical front,

0:26:10.400 --> 0:26:14.040
<v Speaker 12>like the road map is progressing well. And also I

0:26:14.040 --> 0:26:16.359
<v Speaker 12>don't even want to call that the commercial front, but

0:26:16.480 --> 0:26:19.560
<v Speaker 12>more like the coalition front. Decided that if you really

0:26:19.640 --> 0:26:23.600
<v Speaker 12>want Intel to be successful in manufacturing, you need more

0:26:23.600 --> 0:26:26.879
<v Speaker 12>than clients. You need industrial policy, you need a coalition.

0:26:27.359 --> 0:26:30.800
<v Speaker 12>You need partners that deeply engage with Intel, invest in Intel,

0:26:31.160 --> 0:26:33.560
<v Speaker 12>commit to Intel, to work with Intel. That's the only

0:26:33.600 --> 0:26:36.800
<v Speaker 12>way the foundry is really going to do well. And honestly,

0:26:36.960 --> 0:26:39.960
<v Speaker 12>on that front, it's very very early signals, but I

0:26:40.000 --> 0:26:40.920
<v Speaker 12>think they are positive.

0:26:42.680 --> 0:26:45.800
<v Speaker 2>I tried to get a sense from Intel CFO Daves

0:26:45.840 --> 0:26:47.680
<v Speaker 2>and when I spoke to him on the phone about

0:26:48.400 --> 0:26:50.720
<v Speaker 2>that long term you were talking about and in an

0:26:50.760 --> 0:26:54.879
<v Speaker 2>AI world AI, his answer was quite simple. They do

0:26:54.920 --> 0:26:58.320
<v Speaker 2>see opportunity and accelerators, but the foundry bit is what

0:26:58.400 --> 0:27:00.639
<v Speaker 2>I was like most surprise. That is saying that the

0:27:00.640 --> 0:27:04.919
<v Speaker 2>foundry opportunity for them in AI is in wafers and packaging.

0:27:05.520 --> 0:27:07.800
<v Speaker 2>That doesn't sound hugely exciting.

0:27:07.880 --> 0:27:15.919
<v Speaker 12>Pierre, Well, maybe it doesn't sound hugely exciting, but it

0:27:16.040 --> 0:27:20.000
<v Speaker 12>sounds very realistic and really playing to Intel strength. The

0:27:20.040 --> 0:27:24.080
<v Speaker 12>way it's Intel today is they have two major product franchises.

0:27:24.320 --> 0:27:26.440
<v Speaker 12>One is in the Piece of Business x eighty six

0:27:26.560 --> 0:27:30.480
<v Speaker 12>CPUs for pieces and one was in seven. So I'm

0:27:30.480 --> 0:27:33.359
<v Speaker 12>pretty sure the management wants to maximize the value of

0:27:33.359 --> 0:27:35.600
<v Speaker 12>these two franchises and concentrate on them.

0:27:35.640 --> 0:27:36.320
<v Speaker 6>And it's good.

0:27:36.640 --> 0:27:42.520
<v Speaker 12>You can't invent yourself, you know, like an AI accelerator designer,

0:27:42.840 --> 0:27:45.360
<v Speaker 12>like fifteen years down the lines or ten years down

0:27:45.400 --> 0:27:48.359
<v Speaker 12>the line, and that's very reasonable. And then yes, Intel

0:27:48.480 --> 0:27:53.800
<v Speaker 12>has an edge packaging. Intel is a strategic asset for

0:27:53.920 --> 0:27:58.399
<v Speaker 12>this industry and this is probably what management wants to

0:27:58.440 --> 0:28:01.000
<v Speaker 12>build on and I see that as maybe not as

0:28:01.000 --> 0:28:04.240
<v Speaker 12>exciting as willing to compete against the VIDR, but very

0:28:04.240 --> 0:28:07.480
<v Speaker 12>realistic and the right industrial approach probably.

0:28:08.040 --> 0:28:10.800
<v Speaker 6>You know, and for our audience pre appreciate that answer.

0:28:10.800 --> 0:28:13.080
<v Speaker 2>Because you also cover in video right, you're able to

0:28:13.119 --> 0:28:16.679
<v Speaker 2>make the comparison on xAd six. I think the argument

0:28:16.720 --> 0:28:20.199
<v Speaker 2>Intel were making to us was the hyperscalers have woken

0:28:20.280 --> 0:28:22.919
<v Speaker 2>up a bit to the value of having the latest

0:28:22.960 --> 0:28:27.040
<v Speaker 2>CPU in infrastructure. They're willing to invest and refresh on CPU.

0:28:27.359 --> 0:28:31.040
<v Speaker 2>So again for them Intel, they would argue that it's

0:28:31.080 --> 0:28:32.680
<v Speaker 2>a great opportunity for them.

0:28:32.800 --> 0:28:34.879
<v Speaker 6>Do you see that opportunity.

0:28:35.040 --> 0:28:41.120
<v Speaker 12>Yes, absolutely, no doubt, and it's very very strong. You

0:28:41.240 --> 0:28:45.000
<v Speaker 12>have like clients asking for it. The specifics of the

0:28:45.160 --> 0:28:50.040
<v Speaker 12>XAT six architecture and the way Intel implements it is

0:28:50.160 --> 0:28:53.720
<v Speaker 12>very differentiated. I've always been a great believer in the

0:28:53.800 --> 0:28:55.560
<v Speaker 12>quality of the products of Intel on that from like

0:28:55.600 --> 0:28:58.640
<v Speaker 12>the ability of an intell extaden ship to deal with

0:28:58.840 --> 0:29:03.160
<v Speaker 12>very unforeseen city cuation in very complex work cloud is excellent,

0:29:04.400 --> 0:29:08.600
<v Speaker 12>and you've had so much demand for it that it

0:29:08.720 --> 0:29:15.280
<v Speaker 12>actually triggers NVIDA has moved first to open up envilling

0:29:15.480 --> 0:29:18.640
<v Speaker 12>like the high bandwidth connectivity with their GPS so that

0:29:19.200 --> 0:29:24.000
<v Speaker 12>Excaity six chip can be integrated into na systems, and

0:29:24.440 --> 0:29:28.400
<v Speaker 12>a five billion dollar investment in Intel and a partnership

0:29:28.440 --> 0:29:31.680
<v Speaker 12>with Intel to co develop chip that will be optimized

0:29:31.720 --> 0:29:35.000
<v Speaker 12>to get integrated into Nvidia systems. And my read, having

0:29:35.040 --> 0:29:37.600
<v Speaker 12>followed that for a few years, is that it's not

0:29:37.760 --> 0:29:41.480
<v Speaker 12>just like a nice gesture from Nvidia under political pressure

0:29:41.560 --> 0:29:44.040
<v Speaker 12>or anything like that. It is a genuine, thorough and

0:29:44.080 --> 0:29:48.200
<v Speaker 12>deep interest for Intel products in the industry for that role. Now,

0:29:48.680 --> 0:29:51.719
<v Speaker 12>keep things to the scale they are out on NVL

0:29:51.800 --> 0:29:56.120
<v Speaker 12>seventy to server powered by x eighty six Champs chips.

0:29:56.320 --> 0:29:59.760
<v Speaker 12>The chip is going to be single digit percentage of

0:29:59.760 --> 0:30:02.000
<v Speaker 12>the co cost of the overall server and the other

0:30:02.080 --> 0:30:04.160
<v Speaker 12>ninety plus percent would be in video.

0:30:04.400 --> 0:30:07.840
<v Speaker 3>So Pierre within video support, we know the money is

0:30:07.920 --> 0:30:09.960
<v Speaker 3>yet to come through in that settle in the next quarter.

0:30:10.640 --> 0:30:13.560
<v Speaker 3>Will that be enough to see Ohio breakground? Will we

0:30:13.720 --> 0:30:16.520
<v Speaker 3>see an actual commitment not just to co develop, but

0:30:16.560 --> 0:30:20.479
<v Speaker 3>actually to eventually fabricate on site in the United States,

0:30:20.480 --> 0:30:21.720
<v Speaker 3>not just relying on TSMC.

0:30:22.960 --> 0:30:27.240
<v Speaker 12>It's a great question. You need more than that to

0:30:27.360 --> 0:30:30.800
<v Speaker 12>have like a final commitment or to claim victory basically

0:30:31.240 --> 0:30:35.479
<v Speaker 12>in order for Intel to successfully manufacture chips in the

0:30:35.600 --> 0:30:39.520
<v Speaker 12>US package chips in the US for US clients. You

0:30:39.600 --> 0:30:43.200
<v Speaker 12>need the money and major pogrests made on that front

0:30:43.240 --> 0:30:45.760
<v Speaker 12>with money from the government, from NVDR, from South Bank,

0:30:45.800 --> 0:30:46.520
<v Speaker 12>and I'm sure.

0:30:46.360 --> 0:30:47.480
<v Speaker 5>More will furrow.

0:30:48.560 --> 0:30:54.720
<v Speaker 12>You need also like the multi year commitment of a coalition,

0:30:55.080 --> 0:30:58.800
<v Speaker 12>so you're not going to get like the right hip

0:30:59.240 --> 0:31:02.160
<v Speaker 12>in the first go with. It's a dialogue that needs

0:31:02.200 --> 0:31:06.000
<v Speaker 12>to last very multiple years before you get to success.

0:31:06.640 --> 0:31:11.000
<v Speaker 12>And last but not least, you need execution. You needed

0:31:11.960 --> 0:31:14.840
<v Speaker 12>to come up with a fought in a that's going

0:31:14.920 --> 0:31:20.320
<v Speaker 12>to show up like policively, be unveiled and better convinced

0:31:20.320 --> 0:31:23.880
<v Speaker 12>and make potential adopters more confident. It's going to be

0:31:23.960 --> 0:31:25.320
<v Speaker 12>the right not to do something with it.

0:31:26.520 --> 0:31:28.760
<v Speaker 6>Pierre Faragu of New Street Research. Great to have you

0:31:28.800 --> 0:31:31.000
<v Speaker 6>back on Bloomberg Tech. Thank you very much.

0:31:31.080 --> 0:31:35.040
<v Speaker 2>Now coming up MISTRAUS CEO Arthur Mentch joins us to

0:31:35.080 --> 0:31:39.320
<v Speaker 2>discuss the startups new platform designed to help companies get

0:31:39.320 --> 0:31:42.320
<v Speaker 2>the most out of AI. It's a big interview. We've

0:31:42.320 --> 0:31:44.520
<v Speaker 2>been looking forward to this one for some time. Stay

0:31:44.560 --> 0:31:46.040
<v Speaker 2>with us. This is Bloomberg Tech.

0:31:56.440 --> 0:31:58.960
<v Speaker 6>Today. European AI startup Mistra.

0:31:58.760 --> 0:32:01.480
<v Speaker 2>Announced the release of a new platform to help its

0:32:01.600 --> 0:32:05.400
<v Speaker 2>enterprise clients make customizable AI tools that are easy to

0:32:05.440 --> 0:32:09.200
<v Speaker 2>operate throughout the businesses. Delighted to welcome mist our CEO

0:32:09.720 --> 0:32:13.280
<v Speaker 2>after Mensch to the program. This is a path to

0:32:13.320 --> 0:32:20.320
<v Speaker 2>production right and the enterprise category between you anthropic open AI,

0:32:20.760 --> 0:32:23.400
<v Speaker 2>it's a fierce battle. I think let's just start by

0:32:23.440 --> 0:32:26.800
<v Speaker 2>you explaining why you feel this is such a significant

0:32:26.840 --> 0:32:27.800
<v Speaker 2>milestone for Mistra.

0:32:29.200 --> 0:32:32.120
<v Speaker 13>So hello and happy to be here for us to

0:32:32.680 --> 0:32:35.640
<v Speaker 13>We're a global company really focused on creating value for

0:32:35.720 --> 0:32:40.000
<v Speaker 13>the enterprises, and we have had three years of experience

0:32:40.040 --> 0:32:42.960
<v Speaker 13>in doing that, and so AI Studio is basically the

0:32:43.000 --> 0:32:46.120
<v Speaker 13>one stop shop platform where you can build your AA

0:32:46.160 --> 0:32:50.160
<v Speaker 13>application as a business, and so it brings everything that

0:32:50.200 --> 0:32:52.840
<v Speaker 13>we need to create value in the enterprise, to create

0:32:52.880 --> 0:32:56.480
<v Speaker 13>applications that belongs to the enterprises, that contains their IP,

0:32:56.840 --> 0:32:59.600
<v Speaker 13>that is connected to their data, and that improves over time,

0:33:00.000 --> 0:33:03.160
<v Speaker 13>averaging the knowledge that is contained within enterphrises, that is

0:33:03.160 --> 0:33:04.520
<v Speaker 13>contained within employee's mind.

0:33:05.320 --> 0:33:08.960
<v Speaker 3>You are a global company, you're producing foundational models. Author

0:33:09.080 --> 0:33:12.200
<v Speaker 3>I wonder though, how you compete against those that are

0:33:12.200 --> 0:33:14.800
<v Speaker 3>already serving the enterprise. How is your solution different from

0:33:14.840 --> 0:33:16.680
<v Speaker 3>that of anthropics, that of open AI, is that of

0:33:16.920 --> 0:33:18.160
<v Speaker 3>X's and many others.

0:33:18.960 --> 0:33:21.400
<v Speaker 13>Well, I think our solution is much more integrated. Is

0:33:21.440 --> 0:33:24.560
<v Speaker 13>that we have thought about all of the bricks that

0:33:24.640 --> 0:33:27.040
<v Speaker 13>needed to be there to go from a model, which

0:33:27.040 --> 0:33:29.720
<v Speaker 13>is how we started to an application with the right

0:33:29.720 --> 0:33:31.960
<v Speaker 13>font end, with the right back ends, and with the

0:33:32.040 --> 0:33:35.320
<v Speaker 13>right learning mechanisms. So that integration is really the reason

0:33:35.320 --> 0:33:38.600
<v Speaker 13>why we've been succeeding in delivering value with enterprises. So

0:33:38.640 --> 0:33:42.760
<v Speaker 13>that's one very strong area of differentiation. The other thing

0:33:42.800 --> 0:33:45.880
<v Speaker 13>is that, in contrast with some of our competitors, we

0:33:45.960 --> 0:33:48.880
<v Speaker 13>really believe that enterprises should build their own AI, that

0:33:48.960 --> 0:33:51.600
<v Speaker 13>they should own the system, that the IP should remain

0:33:51.640 --> 0:33:54.360
<v Speaker 13>their own, that the data should remain where it is

0:33:54.400 --> 0:33:57.360
<v Speaker 13>and should not necessarily flow back to us. And so

0:33:57.400 --> 0:33:59.840
<v Speaker 13>that approach of building a portable platform that can be

0:33:59.880 --> 0:34:02.640
<v Speaker 13>the deployed on prend that can be deployed on private cloud,

0:34:02.880 --> 0:34:09.000
<v Speaker 13>combined with the vertically integrated approach of having just one

0:34:09.600 --> 0:34:13.520
<v Speaker 13>platform allowing you to go from prototype production, I think

0:34:13.640 --> 0:34:16.279
<v Speaker 13>is very very different from the approach for competitors, and

0:34:16.320 --> 0:34:18.200
<v Speaker 13>that has an oders to make a lot of progress

0:34:18.200 --> 0:34:19.040
<v Speaker 13>in particular under.

0:34:18.960 --> 0:34:23.360
<v Speaker 2>Us Arthur, can you talk about how quickly you're able

0:34:23.400 --> 0:34:28.760
<v Speaker 2>to onboard scaled enterprise customers to this and in turn

0:34:28.880 --> 0:34:32.879
<v Speaker 2>therefore what the capacity and compute constraints are for you

0:34:33.200 --> 0:34:36.839
<v Speaker 2>in launching a new product and then trying to run

0:34:36.920 --> 0:34:38.560
<v Speaker 2>workloads with clients.

0:34:39.520 --> 0:34:43.120
<v Speaker 13>Well, a good example that I can give you is

0:34:43.400 --> 0:34:45.680
<v Speaker 13>what we've been doing with one of our big customers,

0:34:45.680 --> 0:34:48.560
<v Speaker 13>which is a logistic company call same Messagem and one

0:34:48.600 --> 0:34:51.120
<v Speaker 13>of the biggest shipping company in the world, and so

0:34:51.239 --> 0:34:54.480
<v Speaker 13>as many other companies, they were a bit struggling with

0:34:54.520 --> 0:34:57.120
<v Speaker 13>the adoption of air. If you look at the MIT reports,

0:34:57.160 --> 0:34:59.320
<v Speaker 13>they state that ninety five percent of use cases just

0:34:59.320 --> 0:35:03.040
<v Speaker 13>don't go intoduction. And the way we have done the

0:35:03.080 --> 0:35:05.200
<v Speaker 13>work with them is we use AI studio and we

0:35:05.280 --> 0:35:07.640
<v Speaker 13>deployed our AI applied engineers or.

0:35:07.600 --> 0:35:08.799
<v Speaker 5>AED applied scientists.

0:35:08.960 --> 0:35:11.360
<v Speaker 13>We made them work with the business unit owners and

0:35:11.400 --> 0:35:13.840
<v Speaker 13>they realized what kind of processes could be automated and

0:35:13.920 --> 0:35:17.400
<v Speaker 13>to end and from ideating what we could automate to

0:35:17.480 --> 0:35:21.000
<v Speaker 13>going into production. So from March to July in formats

0:35:21.040 --> 0:35:24.680
<v Speaker 13>we were able to understand a full function to be automated,

0:35:24.680 --> 0:35:28.799
<v Speaker 13>so cargo release and dispatching of release of containers to

0:35:29.000 --> 0:35:32.840
<v Speaker 13>multiple customers. We're able to go from that to production

0:35:33.400 --> 0:35:38.040
<v Speaker 13>that is now going at the global scale. So the

0:35:38.080 --> 0:35:39.800
<v Speaker 13>way we think about it that it takes a quarter

0:35:40.520 --> 0:35:44.080
<v Speaker 13>to go from a prototype to production, and for him

0:35:44.080 --> 0:35:45.719
<v Speaker 13>to happen, you need to have the right tools. You

0:35:45.719 --> 0:35:47.040
<v Speaker 13>need to have the right tools. You need to have

0:35:47.080 --> 0:35:49.839
<v Speaker 13>the right experts. You need to deeply understand what AI

0:35:49.880 --> 0:35:52.520
<v Speaker 13>agents can do and cannot do. You need to connect

0:35:52.640 --> 0:35:55.760
<v Speaker 13>the agents to the data sources. You need to connect

0:35:55.800 --> 0:35:58.359
<v Speaker 13>them to software which is sometimes legacy, so you need

0:35:58.400 --> 0:36:00.400
<v Speaker 13>to have the right interfaces, the right plumbing.

0:36:00.640 --> 0:36:02.080
<v Speaker 5>That's what AIP studio can bring.

0:36:02.400 --> 0:36:04.600
<v Speaker 13>You also need to have the experts, so that's why

0:36:04.640 --> 0:36:06.799
<v Speaker 13>we deploy people in the companies that we work with.

0:36:07.960 --> 0:36:11.759
<v Speaker 2>After there is intense interest in Mistrau as the European

0:36:11.920 --> 0:36:16.479
<v Speaker 2>champion among AI labs frontier labs. The thing we're most

0:36:16.520 --> 0:36:19.320
<v Speaker 2>interesting to learn about is the progress of the follow

0:36:19.360 --> 0:36:24.080
<v Speaker 2>on fundraising round that's reported. You're undertaking how much money

0:36:24.160 --> 0:36:26.680
<v Speaker 2>you seek in the raise, But beyond the money, why

0:36:26.719 --> 0:36:28.880
<v Speaker 2>do you need to do a quick follow on? What

0:36:29.080 --> 0:36:31.960
<v Speaker 2>is the most pressing need for capital at the moment.

0:36:33.120 --> 0:36:34.719
<v Speaker 13>So I'm not sure we'll talk to you about the

0:36:34.760 --> 0:36:37.760
<v Speaker 13>follow on but we are not raising money at the moment.

0:36:37.920 --> 0:36:38.239
<v Speaker 5>We are.

0:36:38.520 --> 0:36:42.440
<v Speaker 13>We've just actually announced the fundraise with SML, which is

0:36:42.480 --> 0:36:45.520
<v Speaker 13>the biggest European company and with whom we work with

0:36:45.560 --> 0:36:48.279
<v Speaker 13>whom we have a commercial agreement where we help them

0:36:48.920 --> 0:36:52.799
<v Speaker 13>make better products, automate the processes, we help connect their

0:36:52.880 --> 0:36:56.960
<v Speaker 13>vertical expertise to horizontal expertise, We make them create their

0:36:57.000 --> 0:37:01.080
<v Speaker 13>own AI and deploy this AI into the their systems.

0:37:01.440 --> 0:37:04.080
<v Speaker 13>So that was a one point seven billion euro race,

0:37:04.520 --> 0:37:09.640
<v Speaker 13>which which makes us We've raised around three billion euro

0:37:09.760 --> 0:37:12.920
<v Speaker 13>in total, and that in turn has enabled us to

0:37:12.920 --> 0:37:15.160
<v Speaker 13>grow very fast and to create unique technology and to

0:37:15.200 --> 0:37:16.879
<v Speaker 13>release it in particular on the.

0:37:16.800 --> 0:37:17.359
<v Speaker 5>Open source WED.

0:37:17.719 --> 0:37:20.840
<v Speaker 3>That was really interesting, this strategic investment coming from SML.

0:37:21.200 --> 0:37:25.799
<v Speaker 3>You just referenced CMA, CGM, another French based giant. It's

0:37:25.800 --> 0:37:27.879
<v Speaker 3>a global company, but it's French based. You've got work

0:37:27.920 --> 0:37:31.240
<v Speaker 3>with stillants, You've got work with BNP, Parabar. What about

0:37:31.400 --> 0:37:34.000
<v Speaker 3>US companies? How are you managing to penetrate here?

0:37:35.160 --> 0:37:37.560
<v Speaker 5>So we are working with CHIPELU US companies.

0:37:37.600 --> 0:37:41.600
<v Speaker 13>We're working with Cisco for instance, which has chosen us

0:37:41.640 --> 0:37:43.759
<v Speaker 13>because we allowed them to deploy on private cloud and

0:37:44.360 --> 0:37:47.000
<v Speaker 13>we deploy people to work with them in particular on

0:37:47.040 --> 0:37:51.040
<v Speaker 13>the customer experience side, so that's one important customer of hours.

0:37:51.040 --> 0:37:55.360
<v Speaker 13>We also work with Snowflake deployer technology in particular on

0:37:55.560 --> 0:38:00.279
<v Speaker 13>document processing and all of our technology to structure and

0:38:00.400 --> 0:38:03.839
<v Speaker 13>structure knowledge into to take instruct your knowledge and turn

0:38:03.880 --> 0:38:07.280
<v Speaker 13>it into things that can then be crawled by a systems.

0:38:07.800 --> 0:38:10.080
<v Speaker 13>We also work, as you know, with Microsoft, which is

0:38:10.280 --> 0:38:12.720
<v Speaker 13>which is a very important bartner of owers and exposes

0:38:12.800 --> 0:38:17.880
<v Speaker 13>on the on voundry on models, being very competitive in

0:38:17.920 --> 0:38:21.360
<v Speaker 13>particular on their cost of performance ratio. We walk with

0:38:21.400 --> 0:38:24.600
<v Speaker 13>A Doubles and GCP and we work with multiple digital

0:38:24.680 --> 0:38:25.600
<v Speaker 13>natives Companion as well.

0:38:27.000 --> 0:38:31.400
<v Speaker 2>Arthur your peers, Dario ama Day from Anthropic, Sam Altman

0:38:31.600 --> 0:38:35.200
<v Speaker 2>OpenAI are looking increasingly to the Middle East, both for

0:38:35.320 --> 0:38:39.120
<v Speaker 2>capital but compute capacity. Right this week we broke the

0:38:39.160 --> 0:38:44.480
<v Speaker 2>news of Anthropic securing one million TPUs with Google and GCP.

0:38:45.120 --> 0:38:48.520
<v Speaker 2>That's the scale that people are talking about. Are you

0:38:48.640 --> 0:38:52.040
<v Speaker 2>making those future plans for scale? Are you looking at

0:38:52.080 --> 0:38:56.399
<v Speaker 2>debt markets to ensure the future of mistrau and what

0:38:56.440 --> 0:38:57.160
<v Speaker 2>you want to do?

0:38:58.440 --> 0:39:00.719
<v Speaker 13>So the future of if you should diligence is very

0:39:00.719 --> 0:39:04.239
<v Speaker 13>linked to infrastructure, as you know, and as a consequence

0:39:04.239 --> 0:39:07.520
<v Speaker 13>of that, we have created a new business unit called

0:39:07.560 --> 0:39:12.960
<v Speaker 13>Mistile Compute, which is creating digital infrastructure GPUs, in particular

0:39:13.719 --> 0:39:17.439
<v Speaker 13>in Europe, which is lacking infrastructure today, and so we've

0:39:17.440 --> 0:39:21.920
<v Speaker 13>been growing that very fast and we are acquiring multiple

0:39:22.040 --> 0:39:25.680
<v Speaker 13>hundreds of Mega what capacity in the coming year to

0:39:25.719 --> 0:39:28.759
<v Speaker 13>actually be able to serve our customers, to serve AI startups,

0:39:29.520 --> 0:39:33.360
<v Speaker 13>to serve all of our existing customers and customers that

0:39:33.400 --> 0:39:36.160
<v Speaker 13>come to us because they are looking for sovereign capacity.

0:39:36.560 --> 0:39:39.080
<v Speaker 13>We also use that capacity to train our own models

0:39:39.120 --> 0:39:41.919
<v Speaker 13>and to maintain our leadership on the open source font.

0:39:43.000 --> 0:39:46.160
<v Speaker 3>With that comes the need to continue to invest. You

0:39:46.280 --> 0:39:48.920
<v Speaker 3>raised money, and is that what's being used to finance

0:39:49.400 --> 0:39:52.600
<v Speaker 3>the exploration and data center build out. Because I'm looking

0:39:52.600 --> 0:39:54.000
<v Speaker 3>at a headline at the moment that the Bank of

0:39:54.000 --> 0:39:57.280
<v Speaker 3>England itself is really worried about a circled AI bubble

0:39:57.320 --> 0:39:59.839
<v Speaker 3>and some of the debt and the financing that's going

0:39:59.840 --> 0:40:01.680
<v Speaker 3>on data centers at the moment. Is that something that

0:40:01.719 --> 0:40:02.360
<v Speaker 3>gives you pause?

0:40:02.400 --> 0:40:06.920
<v Speaker 13>Author, Well, we've raised equity and we are deploying that

0:40:06.960 --> 0:40:08.960
<v Speaker 13>equity to actually train models.

0:40:09.000 --> 0:40:11.680
<v Speaker 5>So RANT is financed by our equity.

0:40:11.800 --> 0:40:14.839
<v Speaker 13>We also have long term contacts for our compute facilities,

0:40:15.160 --> 0:40:17.880
<v Speaker 13>and with those long term contacts, we are able to

0:40:17.920 --> 0:40:22.000
<v Speaker 13>actually finance them through that that's not this is bank

0:40:22.040 --> 0:40:26.000
<v Speaker 13>debt and gives us confidence that we are not overly

0:40:26.040 --> 0:40:30.760
<v Speaker 13>exposed to that there is a lot of investment happening

0:40:30.800 --> 0:40:34.840
<v Speaker 13>on the infrastructure side today. We're really focused on creating

0:40:34.840 --> 0:40:37.920
<v Speaker 13>the long term value that will justify with investments. Because

0:40:37.960 --> 0:40:40.439
<v Speaker 13>we operate with enterprises, because we go all the way

0:40:40.719 --> 0:40:42.040
<v Speaker 13>to delivering value for.

0:40:41.960 --> 0:40:44.200
<v Speaker 5>Them, to identifying their use cases, to.

0:40:44.360 --> 0:40:47.840
<v Speaker 13>Making things that transforming what looks like magic to something

0:40:47.840 --> 0:40:51.160
<v Speaker 13>that looks like money, we are not exposed to whatever

0:40:51.200 --> 0:40:54.680
<v Speaker 13>may happen on overly investing on the infrastructure site.

0:40:54.719 --> 0:40:57.120
<v Speaker 5>We invest on the infastructure site in a wise way

0:40:57.920 --> 0:40:58.440
<v Speaker 5>to help.

0:40:58.239 --> 0:41:01.520
<v Speaker 3>Build mister Lai studio. Mench. Great to have you on

0:41:01.560 --> 0:41:04.120
<v Speaker 3>that news today. Thank you so much, the CEO of

0:41:04.200 --> 0:41:06.759
<v Speaker 3>Mistrell and co founder. Now coming up, we'll come back

0:41:06.840 --> 0:41:09.799
<v Speaker 3>on the AWS shortage and outage. But it is one

0:41:09.800 --> 0:41:11.799
<v Speaker 3>of the biggest in history. Remember and what would that

0:41:11.800 --> 0:41:14.160
<v Speaker 3>mean for cloud Giant's future in the age of AI.

0:41:14.320 --> 0:41:15.160
<v Speaker 3>This has really big ten.

0:41:24.800 --> 0:41:28.719
<v Speaker 2>Amazon basically invented the cloud business, but now it's struggling

0:41:28.800 --> 0:41:31.560
<v Speaker 2>as Monday's outage shows one of the worst outages in

0:41:31.600 --> 0:41:35.080
<v Speaker 2>the cloud unit's history. Bloomberg's Amazon reporter Matt Day joins

0:41:35.160 --> 0:41:38.080
<v Speaker 2>us to discuss his latest deep dive and why AWS

0:41:38.400 --> 0:41:41.960
<v Speaker 2>is now perceived as trailing its rivals and AI. This

0:41:42.000 --> 0:41:47.560
<v Speaker 2>week's been rough outage, losing some Groundman to GPUs TPUs

0:41:47.560 --> 0:41:48.080
<v Speaker 2>for Google.

0:41:48.480 --> 0:41:50.120
<v Speaker 6>Just give me the headline of your story.

0:41:51.000 --> 0:41:52.719
<v Speaker 14>So the headline of the story is that Amazon is

0:41:52.800 --> 0:41:55.440
<v Speaker 14>essentially no longer the only game in town in cloud computing.

0:41:55.440 --> 0:41:57.920
<v Speaker 14>They've got real credible rivals, you know, down to Oracle

0:41:57.960 --> 0:42:00.040
<v Speaker 14>and Google. Now, five years or so ago was on

0:42:00.200 --> 0:42:02.279
<v Speaker 14>Microsoft that was knocking on the door. And now you

0:42:02.280 --> 0:42:04.759
<v Speaker 14>add on all this AI workloads and that's not a

0:42:04.800 --> 0:42:06.800
<v Speaker 14>business at AIS or that Amazon rather seem to be

0:42:06.880 --> 0:42:07.239
<v Speaker 14>leading in.

0:42:08.320 --> 0:42:10.960
<v Speaker 3>Just for context, though, how successful does it remain, how

0:42:11.040 --> 0:42:13.200
<v Speaker 3>much market shared does it still own? And what are

0:42:13.239 --> 0:42:15.719
<v Speaker 3>we starting to see in terms of inroads and so.

0:42:15.680 --> 0:42:18.520
<v Speaker 14>On on traditional cloud It's something like thirty eight percent,

0:42:18.920 --> 0:42:21.280
<v Speaker 14>reckons Gartner. It's down from about half of the market,

0:42:21.320 --> 0:42:22.600
<v Speaker 14>you know, five or six years ago.

0:42:23.440 --> 0:42:24.600
<v Speaker 6>Folks who have made inroads.

0:42:24.640 --> 0:42:28.239
<v Speaker 14>You know, there's there's Microsoft, there's GCP, there's Oracle and

0:42:28.320 --> 0:42:29.520
<v Speaker 14>a lot of a lot of the threat there is

0:42:29.560 --> 0:42:31.640
<v Speaker 14>just some of the services at Amazon pioneered like those

0:42:31.680 --> 0:42:34.200
<v Speaker 14>are leaning toward commodities. Other companies can offer you a

0:42:34.239 --> 0:42:35.600
<v Speaker 14>similar package of goods.

0:42:35.719 --> 0:42:39.520
<v Speaker 2>Right, Matt, When we break the story about Anthropic using TPUs,

0:42:39.800 --> 0:42:42.719
<v Speaker 2>Google stock up, Amazon stock down, how have you reflected

0:42:42.719 --> 0:42:43.600
<v Speaker 2>on that in the story.

0:42:44.719 --> 0:42:47.799
<v Speaker 14>Also, it's you really can't overstate the importance of Anthropic

0:42:47.960 --> 0:42:51.720
<v Speaker 14>to AWS. You know, they're their marquee artificial intelligence customer.

0:42:51.719 --> 0:42:55.160
<v Speaker 14>They're helping kind of code develop Amazon's artificial intelligence ship

0:42:55.239 --> 0:42:58.239
<v Speaker 14>called Tranium with them. So the fact that they now have,

0:42:58.560 --> 0:43:00.800
<v Speaker 14>you know, what really looks like edge or an option

0:43:00.960 --> 0:43:03.640
<v Speaker 14>to go more toward Google. Should they choose, should they

0:43:03.640 --> 0:43:06.560
<v Speaker 14>like the tech results better? That is a real risk

0:43:06.719 --> 0:43:10.319
<v Speaker 14>or a potential risk rather for Amazon's business.

0:43:10.520 --> 0:43:12.239
<v Speaker 3>I have a feeling it's a story you're going to

0:43:12.280 --> 0:43:14.919
<v Speaker 3>continue to dig into. It's so well read today. Thank

0:43:14.960 --> 0:43:17.640
<v Speaker 3>you so much. Bloomberg's Mack Day reflecting on the week

0:43:17.680 --> 0:43:20.239
<v Speaker 3>that was for Amazon, and we reflect on the show

0:43:20.280 --> 0:43:22.000
<v Speaker 3>that was because it does it for this edition of

0:43:22.040 --> 0:43:24.239
<v Speaker 3>Bloomberg Tech Ed. It was another huge busy one and

0:43:24.280 --> 0:43:25.920
<v Speaker 3>boy next week to lon end.

0:43:26.000 --> 0:43:28.120
<v Speaker 2>Yeah, like we didn't even get to mention really in

0:43:28.120 --> 0:43:30.799
<v Speaker 2>the course of today, but like next week is the

0:43:30.840 --> 0:43:34.279
<v Speaker 2>tech super Bowl, right, Like in an earnings context, it's

0:43:34.400 --> 0:43:35.000
<v Speaker 2>the biggest one.

0:43:35.040 --> 0:43:35.760
<v Speaker 6>It's going to matter.

0:43:36.560 --> 0:43:38.839
<v Speaker 3>Well, is a video there? I guess not. We've got

0:43:38.840 --> 0:43:42.880
<v Speaker 3>everyone else, Meta, Microsoft, Amazon, you name it, the Vindication,

0:43:43.040 --> 0:43:45.239
<v Speaker 3>the Fundamentals. They've got a lot to check out on

0:43:45.239 --> 0:43:45.800
<v Speaker 3>the podcast.

0:43:46.400 --> 0:43:49.040
<v Speaker 2>I am heading to DC for GtC within video so

0:43:49.040 --> 0:43:51.000
<v Speaker 2>that there might be some news there. Check out the pod.

0:43:51.080 --> 0:43:53.359
<v Speaker 2>You know where to find it. This is Bloomberg Tech