WEBVTT - Intel Plunges Post-Earnings and the FTC's Big Tech Probe

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<v Speaker 1>From Marhard. We're Innovation Money and Power co Line in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde and.

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<v Speaker 2>Ed Ludlow.

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<v Speaker 3>Live from Roomberg's World headquarters in New York.

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<v Speaker 4>And Caroline Hyde and I'm Ed Lovelow as if by

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<v Speaker 4>Magic also in the Big Apple.

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<v Speaker 5>This is Bloomberg Technology.

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<v Speaker 3>Coming up and Intel it plunges after disappointing investors with

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<v Speaker 3>its forecast. We're going to be sitting down with the

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<v Speaker 3>Intel CEO, Pat Gelsinger to break down the company's results.

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<v Speaker 4>For bet Amazon and Microsoft facing FTC probes about their

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<v Speaker 4>investments and partnerships with AI companies, Details ahead and salesforce.

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<v Speaker 3>Look, it's adding to a brutal string of tech layoffs

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<v Speaker 3>in twenty twenty four, announcing its slashing seven hundred workers.

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<v Speaker 4>Well, look, there's just a single point of focus in

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<v Speaker 4>tech right now, which is Intel. The stock in the

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<v Speaker 4>session down more than ten percent intraday, biggest dropping around

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<v Speaker 4>a year. If it closes down beyond ten percent, it

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<v Speaker 4>will be the biggest drop since the end of twenty

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<v Speaker 4>twenty one.

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<v Speaker 5>What is going on?

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<v Speaker 4>Well, the outlook has us worried, particularly about how Intel

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<v Speaker 4>is faring in the market for chips that go into

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<v Speaker 4>data centers. But remember they're also growing this fledgling foundry

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<v Speaker 4>business and there was just a lack of detail. We

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<v Speaker 4>don't know who the customers are, but there also doesn't

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<v Speaker 4>seem to be enough dollars committed to that foundry and

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<v Speaker 4>fab business. We're going to be speaking later in the

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<v Speaker 4>hour with Pat Gelsinger, the CEO of Intel. If you're

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<v Speaker 4>watching on Bloomberg Television, you're on the terminal ibs, contact

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<v Speaker 4>us on social media with your questions because there are

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<v Speaker 4>lots of questions to ask on where are we at

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<v Speaker 4>in this turnaround plan that bat Gelsinger has kind of

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<v Speaker 4>put in front of investors for a number of quarters.

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<v Speaker 3>Right now, Cara and ed a lot of what he's

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<v Speaker 3>been hoping for is well the wins of positivity coming

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<v Speaker 3>from AI investment. But let's just talk about AI in

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<v Speaker 3>a different way right now from the regulatory perspective, because

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<v Speaker 3>the FTC has launch an inquiry into Alphabet, Amazon, Microsoft

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<v Speaker 3>on their investments and partnerships with companies like Anthropic, like

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<v Speaker 3>open Ai, those private companies. This is part of a

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<v Speaker 3>study on how artificial intelligence is impacting competition in the

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<v Speaker 3>tech industry and used to say bluemeggs. Jackie Davlas are

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<v Speaker 3>AI expert and also Washington expert joins us now and Jackie.

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<v Speaker 3>The FDC here is really trying to garner as to

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<v Speaker 3>whether or not these are kind of M and A

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<v Speaker 3>deals by a backdoor.

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<v Speaker 6>Well, when you look at it, they're not small deals.

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<v Speaker 6>They might be creative and that it's not a traditional

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<v Speaker 6>mergers and acquisition steal. But the FTC is well aware

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<v Speaker 6>of that. And the reason they are on their radar

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<v Speaker 6>is because it's a massive amount of money. It's nineteen

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<v Speaker 6>billion dollars collectively between the thirteen billion Microsoft committed to

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<v Speaker 6>open AI, the two billion that Anthropic raked in from Alphabet,

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<v Speaker 6>and then the almost four billion.

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<v Speaker 3>It got from Amazon.

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<v Speaker 6>These are enormous stay and the FTC wants to understand

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<v Speaker 6>should they be subject to the same types of merger rules. Now,

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<v Speaker 6>they're not the only regulators that got that have these

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<v Speaker 6>companies on their radar. The UK started their own inquiry

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<v Speaker 6>in December, and then you had the European Union also

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<v Speaker 6>starting to take a look at whether they should be

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<v Speaker 6>kind of looked at like a merger would. Earlier this month, you.

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<v Speaker 5>Know, Jackie.

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<v Speaker 4>The FTC has the who's who of megacat tech in

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<v Speaker 4>their sites and the leaders in building of lms. But

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<v Speaker 4>I want to go to Microsoft specifically because of being

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<v Speaker 4>the world's most valuable company as it stands, but also

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<v Speaker 4>the Microsoft OpenAI thing is somewhere.

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<v Speaker 5>Something We've done a lot of reporting on.

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<v Speaker 4>What is Microsoft's response been to the news of the

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<v Speaker 4>last twenty four hours.

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<v Speaker 6>They defended the partnership and actually said that the US

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<v Speaker 6>has been ahead in AI because of these partnerships. Their

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<v Speaker 6>top competition's lawyer also said that they look forward to

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<v Speaker 6>providing the information the FTC needs to really assess the

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<v Speaker 6>nature of this relationship. But you're absolutely rated. Microsoft here

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<v Speaker 6>is arguably more at risk than perhaps some of these

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<v Speaker 6>other companies. Microsoft has overhauled its entire product line to

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<v Speaker 6>integrate open AI's AAI technology and large language model into

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<v Speaker 6>the most ubiquitous tools and its most profitable tools it has.

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<v Speaker 6>And so of course, whether the FTC decides that there's

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<v Speaker 6>nothing to see here, that these partnerships are valid, that's

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<v Speaker 6>one outcome, But then the other one could mean untangling

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<v Speaker 6>these partnerships in some way. And this is where Microsoft

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<v Speaker 6>is arguably more exposed.

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<v Speaker 4>Kay Bloomberg's Jackie Davlos out in DC with the reporting.

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<v Speaker 5>Thank you.

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<v Speaker 4>Let's continue the conversation with Christina Kafara, co founder and

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<v Speaker 4>vice chair of the Competition Research Policy Network at the

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<v Speaker 4>Center for Economic Policy Research in London. She's a specialist

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<v Speaker 4>in antitrust and it is advised on high profile landmark

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<v Speaker 4>competition cases on behalf of the tech companies Microsoft, Apple,

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<v Speaker 4>Amazon and many others. We've been through the detail, but

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<v Speaker 4>the timing for me is really interesting. There has been

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<v Speaker 4>a large body of reporting, most of it from Bloomberg,

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<v Speaker 4>about regulators around the world looking at the relationship between

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<v Speaker 4>mega cat tech and the new players in AI. Why

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<v Speaker 4>do you think the FTC is acted now.

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<v Speaker 7>It's a pleasure to be here. Thank you for having me.

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<v Speaker 7>The reason this announcement by the FDC is significant is

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<v Speaker 7>that it is the first of the regulators who is

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<v Speaker 7>actually doing a wide ranging type of investigation over these partnerships.

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<v Speaker 7>As your reporter mentioned, the uk CMA, the UK regulator,

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<v Speaker 7>the European Commissioner already looking into this specific partnership between

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<v Speaker 7>OpenAI and Microsoft, but there is a border focus in

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<v Speaker 7>the FDC's announcement and what's behind it. And it is

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<v Speaker 7>really common to all of these regulators that I certainly

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<v Speaker 7>would describe them as a triad of fairly progressive regulators

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<v Speaker 7>European Commissioned, the UK Regulator, and the US agencies. What's

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<v Speaker 7>common between them is an anxiety that essentially we do

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<v Speaker 7>not want to see the same playbook unfold again. What

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<v Speaker 7>has happened in the past is that regulators has been

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<v Speaker 7>very slow in intervening. For the first decade and the

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<v Speaker 7>second decade, really.

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<v Speaker 8>There's been a reluctance to intervening these sectors because there

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<v Speaker 8>was a sense that anti trust is really a problem

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<v Speaker 8>that affects law, innovation sectors, an analog rather than digital.

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<v Speaker 7>And things will take care of themselves. So anti trust

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<v Speaker 7>intervention as being late, and this is really what is

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<v Speaker 7>powering the anxiety. The regulators are we cannot let this

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<v Speaker 7>playbook unfold yet again. We need to be vigilant, We

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<v Speaker 7>need to be seen to be doing something.

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<v Speaker 3>Christina, what about the anxiety? Is it a reality that

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<v Speaker 3>anxiety that basically these partnerships are more than partnerships, They

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<v Speaker 3>are indeed em and a they are indeed control.

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<v Speaker 4>Oh.

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<v Speaker 7>Absolutely, the anxiety extends to this because The concern internal

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<v Speaker 7>to the agencies is that boardrooms have internalized that the

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<v Speaker 7>climate of enforcement has become more hostile to deals. I mean,

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<v Speaker 7>if you think about Microsoft activision into two years and

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<v Speaker 7>it is int obit there. So there is a general

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<v Speaker 7>awareness that doing deals is much more difficult now, and

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<v Speaker 7>there is an anxiety that companies are effectively the fact

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<v Speaker 7>to circumventing merger control by dressing up these relationships as partnerships.

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<v Speaker 7>So this is certainly the second leg of the anxiety.

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<v Speaker 7>We've been too late, We've not done enough, and now

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<v Speaker 7>we are exposed to the rest that these companies are

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<v Speaker 7>actually doing deals by the backdoor. So that's really.

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<v Speaker 4>Why Christian significant, Caroline and I have covered so many

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<v Speaker 4>these FTC inquiries on this program Bloomberg Technology. All of

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<v Speaker 4>them slightly different, but the question they all share in

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<v Speaker 4>common is to whose benefit is the FTC acting. You know,

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<v Speaker 4>people are worried about AI, but there's also a broad

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<v Speaker 4>body of people that say this could really help humankind.

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<v Speaker 4>It's very expensive to achieve, and those names that are

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<v Speaker 4>the subject of this inquiry are those with the capital

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<v Speaker 4>to drive the progress. Does the FTC put any weight

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<v Speaker 4>on that latter argument?

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<v Speaker 7>Of course, and I think Lina Khan in her announcement

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<v Speaker 7>yesterday emphasized at the beginning that these points are well taken.

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<v Speaker 7>I think humanity to the extent possible wants to benefit

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<v Speaker 7>from this. And of course we're all aware that there

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<v Speaker 7>are massive investments that need to be put into this,

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<v Speaker 7>which is why these players out at the forefront of development.

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<v Speaker 7>That said, we have a recent history, which is a

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<v Speaker 7>history of failure of engaging with these questions and why

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<v Speaker 7>one doesn't want to prejudge the outcome. One needs to

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<v Speaker 7>be vigilant because we have spent the last ten years,

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<v Speaker 7>certainly in Europe, but I reside trying to pursue exposed

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<v Speaker 7>investigations of conduct. You're at that point in the US too,

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<v Speaker 7>you have an number of complaints. How many years will

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<v Speaker 7>it take before anything will move? Before everything comes even

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<v Speaker 7>to a court?

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<v Speaker 3>The google Christina's when you look at what's happening in Europe,

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<v Speaker 3>they're actually taking regulatory action that forces a change. Will

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<v Speaker 3>we see actually companies front run this.

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<v Speaker 7>In Europe? What you've seen is because anti trust has

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<v Speaker 7>failed spectacularly to deliver so far, we've been at it

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<v Speaker 7>for fifteen years. There hasn't been a moving of the dial.

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<v Speaker 7>There hasn't been a single anti trust decision on Google

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<v Speaker 7>and others that has actually changed the situation on the ground.

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<v Speaker 7>So we pivoted to regulation. Now it remains to be

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<v Speaker 7>seen whether this is regulation which is now being implemented

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<v Speaker 7>it's going to move the dial itself. These are all experiments, Frankly.

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<v Speaker 7>The sense is therefore that if you kind of try

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<v Speaker 7>and correct the issue when the monopolies are established, where

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<v Speaker 7>market power is established, when power is entrenched, you struggle,

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<v Speaker 7>you are not going to be able to effectively undo

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<v Speaker 7>that power. And so the notion of looking at it

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<v Speaker 7>early and looking at what the nature of this partnership,

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<v Speaker 7>for example, is so, what are the potential issue here?

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<v Speaker 7>I mean, think about this industry as a supply chain

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<v Speaker 7>that's practicalized. Never mind that there is at the bottom

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<v Speaker 7>a lot of competition. The issue is the power at

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<v Speaker 7>the level of the inputs, the power the level of

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<v Speaker 7>the models. Now, if that power is very concentrated, then

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<v Speaker 7>the question that I relate us need to ask is

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<v Speaker 7>how will that input which is essential to all of

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<v Speaker 7>these products the general models be effectively supplied, will be

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<v Speaker 7>supplied on conditions that are these advantageous that are extracted.

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<v Speaker 7>That that exploi is actively remove the ability of arders

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<v Speaker 7>to compete. The fact that at the product level there's

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<v Speaker 7>thousands of people implementing AI application, it's jolly good. But

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<v Speaker 7>if there's only one, two or three suppliers of this,

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<v Speaker 7>then the question becomes will they preference themselves? Will they

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<v Speaker 7>have advanced notice of the work Christina x development?

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<v Speaker 5>Will they and.

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<v Speaker 7>To conclude, will they effectively favor the development of technology

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<v Speaker 7>ways that suit them?

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<v Speaker 3>Some food for thought for sure, Christina Kafara, We thank

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<v Speaker 3>you for the time and the expertise Center of Economic

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<v Speaker 3>Policy Research over in London, Happy weekend. Meanwhile, sticking on

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<v Speaker 3>a theme of AI open, AI CEO Sam Altman when

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<v Speaker 3>he's actually visiting leaders in South Koreas se in conductor

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<v Speaker 3>industry this week. This is as he's weighing, of course,

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<v Speaker 3>a pretty ambitious move into chip production. Altman has arrived

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<v Speaker 3>in Seoul last night and he's touring some songs chip

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<v Speaker 3>fabrication plants today. According to a source, he's also scheduled

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<v Speaker 3>to meet the CEO of rival s k Heinex to

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<v Speaker 3>discuss ways to collaborate and something.

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<v Speaker 5>We're reporting that yeah, big time.

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<v Speaker 3>So in another effort to cut costs, Salesforce is now

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<v Speaker 3>the latest big tech company resorting to layoffs. Gloomberg's Brody

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<v Speaker 3>Ford has details and Brody Salesforce has already kind of

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<v Speaker 3>number of staff. This time. It's small than percentage form,

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<v Speaker 3>But seven hundred is nothing to be sniffed.

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<v Speaker 9>At, right, Yeah, it's tempting to say that, hey, a

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<v Speaker 9>year ago there was you know, seven thousand people cut.

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<v Speaker 9>Now it's seven hundred, so we don't care so much.

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<v Speaker 9>But it's still What it shows to us is that

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<v Speaker 9>the tech industry is still focused on cutting costs, and

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<v Speaker 9>this may become a more regular part of the year. Right,

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<v Speaker 9>It's like we're going back to nineteen fifty and ge

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<v Speaker 9>and stack ranking.

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<v Speaker 10>Right.

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<v Speaker 9>We saw this with Microsoft, Amazon, Google. Companies that made

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<v Speaker 9>big cuts last year are doing well financially still see

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<v Speaker 9>it in their interest to trim a couple percentage points periodically,

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<v Speaker 9>So I expect this to be a trend to continue.

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<v Speaker 4>The point of difference from this time last year is, yes,

0:12:59.280 --> 0:13:01.000
<v Speaker 4>the size of the c but if you go on

0:13:01.080 --> 0:13:04.680
<v Speaker 4>any website of those that have cut Salesforce, Microsoft, whatever,

0:13:05.000 --> 0:13:08.840
<v Speaker 4>they're also hiring and where they're hiring is clear as day.

0:13:08.840 --> 0:13:12.719
<v Speaker 9>Brody, Yeah, where there. I mean, it's two letterers. We've

0:13:12.720 --> 0:13:14.160
<v Speaker 9>been here and every day for the last year and

0:13:14.200 --> 0:13:18.440
<v Speaker 9>a half. AI Right Salesforce has told me that they're

0:13:18.480 --> 0:13:21.440
<v Speaker 9>really hiring for engineering roles and for those who are

0:13:21.520 --> 0:13:24.720
<v Speaker 9>going to market for their AI products. I think a

0:13:24.720 --> 0:13:28.520
<v Speaker 9>lot of companies salesforce more than most, really focused on

0:13:28.600 --> 0:13:32.160
<v Speaker 9>pairing back these traditional sales and marketing rules. Yeah, so

0:13:32.240 --> 0:13:34.200
<v Speaker 9>now they're kind of investing in what's going to bring

0:13:34.240 --> 0:13:38.600
<v Speaker 9>them further. And you know, unfortunately for some workers, it

0:13:38.679 --> 0:13:41.800
<v Speaker 9>is probably cheaper to fire than hire externally than it

0:13:41.880 --> 0:13:43.680
<v Speaker 9>is maybe to retrain some of your people.

0:13:44.200 --> 0:13:48.719
<v Speaker 4>Goodbye marketing, Hello computers, Bloombog's Brody forward, Thank you very much.

0:13:48.760 --> 0:13:51.400
<v Speaker 4>Now coming up here on Bloomberg Technology, we go back

0:13:51.440 --> 0:13:54.280
<v Speaker 4>to Earning's coverage and we sit down with Intel CEO

0:13:54.480 --> 0:13:58.079
<v Speaker 4>Pat Gelsinger amid the company's results that often investors a

0:13:58.200 --> 0:14:02.200
<v Speaker 4>disappointing forecast in the stock down significantly as a result.

0:14:02.360 --> 0:14:09.760
<v Speaker 4>That's coming up next. This is Bloomberg Technology. Welcome to

0:14:09.800 --> 0:14:14.160
<v Speaker 4>our Bloomberg television and radio audiences worldwide. The focus Intel

0:14:14.400 --> 0:14:17.040
<v Speaker 4>and the chip makers earnings a forecast for the current

0:14:17.080 --> 0:14:21.440
<v Speaker 4>period that makes the market nervous about Pat Gelsinger's turnaround

0:14:21.520 --> 0:14:25.640
<v Speaker 4>plan for Intel, some worry about its data center business

0:14:25.880 --> 0:14:28.760
<v Speaker 4>and a fledgling foundry business. I'm delighted to say we

0:14:28.840 --> 0:14:33.840
<v Speaker 4>are joined by Pat Gelsinger, Intel CEO. The stock is

0:14:33.880 --> 0:14:37.600
<v Speaker 4>down more than ten percent. What is it that the

0:14:37.680 --> 0:14:40.880
<v Speaker 4>market is not understanding here for Intel?

0:14:41.800 --> 0:14:44.160
<v Speaker 11>Well, thanks, Ed, and always a pleasure to be with

0:14:44.200 --> 0:14:45.320
<v Speaker 11>you and Carolyn on the show.

0:14:46.240 --> 0:14:47.800
<v Speaker 1>First, we've finished a great year.

0:14:47.920 --> 0:14:51.160
<v Speaker 11>At Q four, beat on top and bottom line, finishing

0:14:51.160 --> 0:14:54.720
<v Speaker 11>a year that was comfortably ahead and showing the transformation

0:14:55.200 --> 0:14:56.640
<v Speaker 11>journey that we're on, and.

0:14:57.040 --> 0:14:58.680
<v Speaker 1>We believe we're putting points on.

0:14:58.640 --> 0:15:03.320
<v Speaker 11>The board for a law term transformation of this iconic company.

0:15:03.640 --> 0:15:05.840
<v Speaker 11>In light of that, Hey, the Q one, you're at

0:15:05.880 --> 0:15:08.280
<v Speaker 11>the low end of seasonal, So we think the market

0:15:08.320 --> 0:15:12.240
<v Speaker 11>reaction is a bit overstated in that respect. We understand it,

0:15:12.560 --> 0:15:16.480
<v Speaker 11>but our company, our employees are doing an incredible job

0:15:16.760 --> 0:15:22.240
<v Speaker 11>at delivering our process technology, restoring product leadership, defining new

0:15:22.320 --> 0:15:26.400
<v Speaker 11>categories like the AIPC. We're on a multi year journey

0:15:26.520 --> 0:15:28.120
<v Speaker 11>and we're not going to be judged on a ninety

0:15:28.200 --> 0:15:30.960
<v Speaker 11>day shot clock. We are out to rebuild this company

0:15:30.960 --> 0:15:34.120
<v Speaker 11>and we had a great twenty three and I'm confident

0:15:34.200 --> 0:15:35.920
<v Speaker 11>in a grade twenty four for this company.

0:15:36.240 --> 0:15:38.280
<v Speaker 4>Pat there were there were so many questions on the

0:15:38.320 --> 0:15:41.360
<v Speaker 4>call about your foundry business, and for our global audience,

0:15:41.400 --> 0:15:44.880
<v Speaker 4>that's the sort of contract manufacturing business where you make

0:15:45.000 --> 0:15:49.200
<v Speaker 4>chips for others, and you seem to say that you

0:15:49.320 --> 0:15:53.200
<v Speaker 4>didn't get as many committed dollars as you thought you might,

0:15:53.240 --> 0:15:55.440
<v Speaker 4>and I wonder what's standing in the way of that

0:15:55.960 --> 0:15:59.760
<v Speaker 4>customers committing to backing your foundry business.

0:16:00.720 --> 0:16:03.240
<v Speaker 1>Yeah, and we're very comfortable with the progress. You know.

0:16:03.320 --> 0:16:05.600
<v Speaker 11>We said that we'd have one on our leading edge

0:16:05.640 --> 0:16:09.120
<v Speaker 11>Node eighteen A as it's called, and we delivered four

0:16:09.200 --> 0:16:11.280
<v Speaker 11>for the year. We also found that there was a

0:16:11.280 --> 0:16:15.520
<v Speaker 11>lot of momentum in our packaging business where we now

0:16:15.560 --> 0:16:20.320
<v Speaker 11>have five major customers on our advanced packaging technology and

0:16:20.360 --> 0:16:22.920
<v Speaker 11>we said, hey, we went from four billion to over

0:16:23.000 --> 0:16:24.880
<v Speaker 11>ten billion of lifetime deal values.

0:16:24.920 --> 0:16:26.120
<v Speaker 1>So good momentum.

0:16:26.200 --> 0:16:30.360
<v Speaker 11>But most importantly is the process technology itself. Are we

0:16:30.560 --> 0:16:33.520
<v Speaker 11>back to a leadership technology and we're hitting all the

0:16:33.560 --> 0:16:37.960
<v Speaker 11>milestones this audacious five nodes and four year plan and

0:16:38.080 --> 0:16:40.200
<v Speaker 11>all the milestones are on track to have us back

0:16:40.200 --> 0:16:43.120
<v Speaker 11>to process leadership in twenty five and as I say,

0:16:43.160 --> 0:16:46.080
<v Speaker 11>a foundery company, they want to know that if they

0:16:46.120 --> 0:16:48.760
<v Speaker 11>design on us, they can build the best products. And

0:16:49.080 --> 0:16:53.120
<v Speaker 11>we're gaining momentum in delivering on exactly that promise, and

0:16:53.160 --> 0:16:56.400
<v Speaker 11>so proud of my team's for delivering on such an

0:16:56.400 --> 0:16:57.280
<v Speaker 11>audacious plan.

0:16:57.400 --> 0:16:58.160
<v Speaker 1>We're on track.

0:16:58.720 --> 0:17:02.520
<v Speaker 3>What about track for AI accelerators not just AI on

0:17:02.560 --> 0:17:06.879
<v Speaker 3>the PC, but I put it bluntly, pat and videos

0:17:06.960 --> 0:17:10.840
<v Speaker 3>run away with this, when or can you regain any

0:17:10.880 --> 0:17:12.199
<v Speaker 3>sort of leadership in that space?

0:17:13.240 --> 0:17:16.000
<v Speaker 11>Yeah, and clearly that's been an area of strength for them.

0:17:16.200 --> 0:17:19.080
<v Speaker 11>We appreciate that they've as I say, focused on that

0:17:19.160 --> 0:17:21.880
<v Speaker 11>for many years and the market has come their way

0:17:21.920 --> 0:17:25.000
<v Speaker 11>in a strong way. But our roadmap is gaining momentum.

0:17:25.040 --> 0:17:28.600
<v Speaker 11>Goudy two, we said, we're seeing a significant expansion in

0:17:28.600 --> 0:17:30.800
<v Speaker 11>the customer pipeline.

0:17:30.359 --> 0:17:30.880
<v Speaker 1>That we have.

0:17:30.960 --> 0:17:33.399
<v Speaker 11>We're ramping up supply, so I'll say we're chasing to

0:17:33.440 --> 0:17:36.639
<v Speaker 11>have enough supply to meet marketing. We're well underway on

0:17:36.720 --> 0:17:40.359
<v Speaker 11>our next generation Gouty three as it's called, with four

0:17:40.520 --> 0:17:43.040
<v Speaker 11>x the compute, two x the network in the lab,

0:17:43.520 --> 0:17:49.200
<v Speaker 11>gaining really really good early debug in bringing that product

0:17:49.240 --> 0:17:51.880
<v Speaker 11>to market later this year. So we feel like, hey,

0:17:52.040 --> 0:17:54.199
<v Speaker 11>you know, yes, we have a lot of work to

0:17:54.240 --> 0:17:57.080
<v Speaker 11>do here, but the momentum is building, the market is

0:17:57.119 --> 0:18:00.159
<v Speaker 11>looking for alternatives, and our roadmap is strengthening is we

0:18:00.160 --> 0:18:03.159
<v Speaker 11>go through the year. But more importantly, Carolyn, is this

0:18:03.320 --> 0:18:06.720
<v Speaker 11>idea that last year was the year of high end training.

0:18:07.040 --> 0:18:09.560
<v Speaker 11>This year it's about how do I use those models?

0:18:09.720 --> 0:18:12.439
<v Speaker 11>And that's much more about the enterprise strength. 're Intel

0:18:12.640 --> 0:18:15.760
<v Speaker 11>is at the edge in the PC and in the

0:18:15.880 --> 0:18:18.600
<v Speaker 11>enterprise data center. So we see the market coming our

0:18:18.640 --> 0:18:21.760
<v Speaker 11>way in AI in twenty four and twenty five.

0:18:21.680 --> 0:18:23.960
<v Speaker 3>And let's go to that core segment. Let's go to

0:18:24.080 --> 0:18:27.320
<v Speaker 3>data centers. Because you promised that you are not losing

0:18:27.440 --> 0:18:30.240
<v Speaker 3>market share there, how do you show that evidence of

0:18:30.240 --> 0:18:30.720
<v Speaker 3>that path?

0:18:31.720 --> 0:18:32.360
<v Speaker 1>In Q four?

0:18:32.440 --> 0:18:35.720
<v Speaker 11>Our estimates are we are about flat in market share

0:18:35.720 --> 0:18:39.040
<v Speaker 11>in Q four, So clearly we lost share weakness of products,

0:18:39.200 --> 0:18:42.080
<v Speaker 11>but that's now being overcome. We are executing on our

0:18:42.080 --> 0:18:44.919
<v Speaker 11>product roadmap and we're ahead of schedule on the products

0:18:44.960 --> 0:18:47.840
<v Speaker 11>for twenty four. We're seeing great momentum for the twenty

0:18:47.880 --> 0:18:52.240
<v Speaker 11>twenty four product line, good execution, and I'm very happy

0:18:52.280 --> 0:18:55.000
<v Speaker 11>to say we sent our first twenty twenty five product

0:18:55.040 --> 0:18:58.360
<v Speaker 11>on eighteen A already into fab ahead of schedule, so

0:18:58.480 --> 0:19:02.440
<v Speaker 11>our execution momentum as building. We see that we've stabilized

0:19:02.440 --> 0:19:04.800
<v Speaker 11>our market share, and now it's time for us to

0:19:04.920 --> 0:19:07.560
<v Speaker 11>rebuild where we were before, and we have the products

0:19:07.880 --> 0:19:10.119
<v Speaker 11>and the strength to go do it. Really proud of

0:19:10.119 --> 0:19:11.440
<v Speaker 11>our team's progress here.

0:19:11.680 --> 0:19:14.679
<v Speaker 4>For our Bloomberg television and radio audience worldwide, we're speaking

0:19:14.680 --> 0:19:18.040
<v Speaker 4>with the Intel CEO, Pat Gelsinger, and Pat when I've

0:19:18.040 --> 0:19:20.840
<v Speaker 4>been down to Santa Clara and sort of seeing the

0:19:20.880 --> 0:19:24.120
<v Speaker 4>reality of Intel, it's always strikes me as being more

0:19:24.200 --> 0:19:27.800
<v Speaker 4>multifaceted than say in video, right, and it's a high

0:19:27.880 --> 0:19:31.400
<v Speaker 4>end performance GPU. A part of that is the packaging,

0:19:31.440 --> 0:19:35.320
<v Speaker 4>A part of that is your differentiation with Foundry. But

0:19:35.400 --> 0:19:38.080
<v Speaker 4>I go back to Caroline's point on the core business.

0:19:38.280 --> 0:19:40.520
<v Speaker 4>What seems to be happening in the context of data

0:19:40.560 --> 0:19:44.160
<v Speaker 4>center is CPU and I just wondered if you'd explained

0:19:44.200 --> 0:19:46.960
<v Speaker 4>to our audience what you think is happening in that market,

0:19:47.200 --> 0:19:49.400
<v Speaker 4>specifically on the CPU side.

0:19:50.359 --> 0:19:53.560
<v Speaker 11>Yeah, and then the CPU last year was clearly here

0:19:53.600 --> 0:19:56.800
<v Speaker 11>there was more energy on the GPU right for these

0:19:56.840 --> 0:19:59.560
<v Speaker 11>high end training systems. But as we come into this year,

0:19:59.560 --> 0:20:01.480
<v Speaker 11>we think there's going to be more balanced between the

0:20:01.560 --> 0:20:05.200
<v Speaker 11>CPU and the accelerator marketplace. Clearly we're going to be

0:20:05.280 --> 0:20:08.399
<v Speaker 11>participating more in the accelerator. But the strength of Intel

0:20:08.440 --> 0:20:12.480
<v Speaker 11>has been our Xeon, the core data center CPU and

0:20:12.640 --> 0:20:16.080
<v Speaker 11>you know, coming out of World Economic Form and Davos

0:20:16.119 --> 0:20:19.600
<v Speaker 11>and CEES, I probably met with fifty customers and the

0:20:19.760 --> 0:20:23.119
<v Speaker 11>enthusiasm that they have and the traditional strength that Intel

0:20:23.200 --> 0:20:25.960
<v Speaker 11>has in the enterprise. And you know, we're in year

0:20:26.000 --> 0:20:29.919
<v Speaker 11>twenty of the clouded and sixty percent of computing is

0:20:29.920 --> 0:20:33.040
<v Speaker 11>in the cloud, but eighty percent of the data remains

0:20:33.280 --> 0:20:36.720
<v Speaker 11>on prem in the enterprise data center. That's where Intel

0:20:36.800 --> 0:20:40.919
<v Speaker 11>is uniquely strong, and our CPUs and accelerators are going

0:20:40.960 --> 0:20:43.960
<v Speaker 11>to unlock that capability for our customers. This is an

0:20:44.000 --> 0:20:47.000
<v Speaker 11>exciting time for us to really enable them to use

0:20:47.040 --> 0:20:50.600
<v Speaker 11>those models. And that's the strength for Intel and our CPUs.

0:20:50.200 --> 0:20:53.400
<v Speaker 4>Pat When I look at the cloud and the hyperscalers themselves,

0:20:54.160 --> 0:20:57.560
<v Speaker 4>the really interesting story is their in house design work

0:20:57.960 --> 0:21:01.199
<v Speaker 4>and they're in house silicon progress. Do you consider that

0:21:01.280 --> 0:21:05.119
<v Speaker 4>a factor in how your own business in the data

0:21:05.160 --> 0:21:07.920
<v Speaker 4>center and cloud side performed and how you think it

0:21:07.960 --> 0:21:09.240
<v Speaker 4>will perform going forward.

0:21:10.359 --> 0:21:12.280
<v Speaker 11>Yeah, And one of the things that I said at

0:21:12.320 --> 0:21:16.160
<v Speaker 11>is Intel has the opportunity of a hundred percent of

0:21:16.200 --> 0:21:18.480
<v Speaker 11>the AI market for it.

0:21:18.280 --> 0:21:20.320
<v Speaker 1>Because we're going to have our product.

0:21:20.000 --> 0:21:24.879
<v Speaker 11>Offerings Xeon is strong showing up with greater improvement in

0:21:24.920 --> 0:21:27.960
<v Speaker 11>our Accelerator product line, but we're also going to be

0:21:27.960 --> 0:21:31.119
<v Speaker 11>a foundry and all of those internal programs that you

0:21:31.200 --> 0:21:34.840
<v Speaker 11>see at Amazon and at Google and a Microsoft. Hey,

0:21:34.920 --> 0:21:37.600
<v Speaker 11>I want to be the foundry for those and all

0:21:37.640 --> 0:21:39.960
<v Speaker 11>of the competitors' products. I want to be the foundry

0:21:40.000 --> 0:21:42.879
<v Speaker 11>for them as well as we're seeing the momentum of

0:21:42.880 --> 0:21:45.920
<v Speaker 11>our packaging technology. So when you think about it that way,

0:21:46.040 --> 0:21:49.280
<v Speaker 11>Intel uniquely is the company that has the opportunity to

0:21:49.280 --> 0:21:52.600
<v Speaker 11>participate in one hundred percent of the AI market with

0:21:52.680 --> 0:21:55.359
<v Speaker 11>our products and our foundry, and that's exactly what we're

0:21:55.480 --> 0:21:56.600
<v Speaker 11>intent upon doing.

0:21:57.040 --> 0:21:59.360
<v Speaker 3>Has any of the weakness in demand thus far been

0:22:00.119 --> 0:22:03.600
<v Speaker 3>because of this in house design and build commitment from

0:22:03.600 --> 0:22:05.919
<v Speaker 3>some of these companies, or have you already managed to

0:22:06.119 --> 0:22:08.680
<v Speaker 3>sort of seal verbal approval that you'll be doing these

0:22:09.119 --> 0:22:12.800
<v Speaker 3>for them from a foundry business at this point.

0:22:12.560 --> 0:22:13.639
<v Speaker 1>I'd say it's pretty early.

0:22:13.760 --> 0:22:17.080
<v Speaker 11>I don't think it's really affected the market that much, Carolyn,

0:22:17.240 --> 0:22:20.080
<v Speaker 11>so far, but I do think this forward looking view

0:22:20.200 --> 0:22:22.439
<v Speaker 11>is a unique one for intel that we do get

0:22:22.520 --> 0:22:26.000
<v Speaker 11>to participate in both sides of that market. There's a

0:22:26.000 --> 0:22:29.119
<v Speaker 11>lot of energy here as the cloud vendors are saying,

0:22:29.280 --> 0:22:33.359
<v Speaker 11>how do I have a more cost effective solution for

0:22:33.720 --> 0:22:38.520
<v Speaker 11>these large training and inferencing demands of generative AI? And

0:22:38.600 --> 0:22:41.840
<v Speaker 11>for that every one of them has these projects underway

0:22:41.840 --> 0:22:44.240
<v Speaker 11>and we're engaging with all of them as we speak.

0:22:44.280 --> 0:22:46.960
<v Speaker 11>So I really see that as a long term opportunity.

0:22:47.280 --> 0:22:50.919
<v Speaker 11>Takes multiple years for those to materialize, but our technologies

0:22:51.000 --> 0:22:53.520
<v Speaker 11>as they gain momentum are showing up at just the

0:22:53.600 --> 0:22:57.400
<v Speaker 11>right time to satisfy a unique AI market for those

0:22:57.440 --> 0:22:58.159
<v Speaker 11>cloud vendors.

0:22:58.760 --> 0:23:02.679
<v Speaker 3>And we've just been hearing how within this change that

0:23:02.720 --> 0:23:05.760
<v Speaker 3>we see around AI, so comes a change in talent.

0:23:05.800 --> 0:23:08.240
<v Speaker 3>And many of these companies. Are you in any way

0:23:08.320 --> 0:23:11.600
<v Speaker 3>having to reorientate your own workers, your own colleagues, Pat,

0:23:11.760 --> 0:23:13.600
<v Speaker 3>are you having to let go of people?

0:23:14.680 --> 0:23:18.080
<v Speaker 11>Well, every day it's focused on talent and in the

0:23:18.160 --> 0:23:24.159
<v Speaker 11>technology industry. Carol talent right is one of our CFOs

0:23:24.280 --> 0:23:26.800
<v Speaker 11>used to say, he said, we start with sand, right,

0:23:26.800 --> 0:23:30.440
<v Speaker 11>the second most plentiful material on earth, and everything else

0:23:30.640 --> 0:23:34.080
<v Speaker 11>is talent between then and delivering our products and technology.

0:23:34.480 --> 0:23:37.520
<v Speaker 11>So this idea of talent is so critical to our

0:23:37.560 --> 0:23:41.080
<v Speaker 11>markets now. Intel has a well tenured and very capable

0:23:41.440 --> 0:23:45.040
<v Speaker 11>base in bost software and in hardware, but we're reorienting

0:23:45.080 --> 0:23:49.600
<v Speaker 11>them very fast to the AI requirements, to data skills,

0:23:49.680 --> 0:23:52.520
<v Speaker 11>to software skills. But we build on a very firm

0:23:52.600 --> 0:23:55.919
<v Speaker 11>foundation and we're making good moves to bring additional talent

0:23:56.320 --> 0:23:59.240
<v Speaker 11>into the company as well to continue to have the

0:23:59.280 --> 0:24:02.560
<v Speaker 11>best people to do the best products to enable the

0:24:02.600 --> 0:24:05.879
<v Speaker 11>best customer experience that they could possibly have. And a

0:24:05.880 --> 0:24:09.359
<v Speaker 11>great example of that is the AIPC, where we're unquestionably

0:24:09.400 --> 0:24:13.240
<v Speaker 11>defining the category, have a strong roadmap and delivering on

0:24:13.280 --> 0:24:16.840
<v Speaker 11>it at scale with ISVs and our OEMs in the

0:24:16.880 --> 0:24:17.800
<v Speaker 11>marketplace today.

0:24:18.400 --> 0:24:20.879
<v Speaker 4>Pat, before we let you go, you mentioned eighteen A.

0:24:21.160 --> 0:24:24.000
<v Speaker 4>You in the past have been kind and explained to

0:24:24.080 --> 0:24:27.919
<v Speaker 4>me what it takes to jump generation to generation on

0:24:28.000 --> 0:24:33.120
<v Speaker 4>the manufacturing side and kind of the process to retain

0:24:33.280 --> 0:24:38.480
<v Speaker 4>and regain technology leadership. So in the time small time

0:24:38.480 --> 0:24:40.919
<v Speaker 4>we have left, what evidence do you have that that

0:24:40.960 --> 0:24:43.240
<v Speaker 4>beautiful chart you drew from me on the whiteboard is

0:24:43.320 --> 0:24:45.679
<v Speaker 4>playing out the way that you expected to.

0:24:46.920 --> 0:24:49.280
<v Speaker 1>Well, we delivered the design collateral.

0:24:49.320 --> 0:24:52.200
<v Speaker 11>It's called a PDK and Q four of last year,

0:24:52.520 --> 0:24:57.639
<v Speaker 11>we've seen our customers expand against that, and most importantly,

0:24:57.880 --> 0:25:01.000
<v Speaker 11>we sent our first major product into the fab just

0:25:01.080 --> 0:25:03.760
<v Speaker 11>before Earning's Call started, ahead of schedule.

0:25:04.000 --> 0:25:04.920
<v Speaker 1>And if you can take.

0:25:04.760 --> 0:25:08.280
<v Speaker 11>A big processor design like a server chip and send

0:25:08.320 --> 0:25:12.920
<v Speaker 11>it with stable design rules into manufacturing, that's a pretty

0:25:12.960 --> 0:25:18.040
<v Speaker 11>definitive statement of momentum. And we're adding customers and we

0:25:18.160 --> 0:25:21.320
<v Speaker 11>have seventy five test chips in the plan right now,

0:25:21.359 --> 0:25:24.200
<v Speaker 11>so lots of customers are saying, let me try my design.

0:25:24.600 --> 0:25:27.280
<v Speaker 11>And importantly, we have our Foundry day. You know, this

0:25:27.560 --> 0:25:31.000
<v Speaker 11>opening of the doors of Intel Foundry coming up in February,

0:25:31.280 --> 0:25:34.399
<v Speaker 11>so a moment for the ecosystem, the EEDA partners, the

0:25:34.480 --> 0:25:38.040
<v Speaker 11>IP providers, and our customers to show up and see

0:25:38.040 --> 0:25:40.399
<v Speaker 11>the progress that we're making. And for the first time

0:25:40.560 --> 0:25:42.800
<v Speaker 11>we'll talk about what comes after eighteen A.

0:25:43.240 --> 0:25:45.879
<v Speaker 1>You know, we're not finished. You know the Moore's Law.

0:25:46.080 --> 0:25:49.480
<v Speaker 11>We are the stewards until the periodic table is exhausted.

0:25:49.720 --> 0:25:52.520
<v Speaker 11>We ain't finished, and we're confident we're the company that's

0:25:52.560 --> 0:25:56.320
<v Speaker 11>going to keep innovating in process technology for decades to come.

0:25:56.560 --> 0:25:57.160
<v Speaker 5>Moore's Law.

0:25:57.440 --> 0:26:03.080
<v Speaker 4>Indeed, Intel CEO Pat Gelsinger, thank you, Caroline. You and

0:26:03.160 --> 0:26:05.199
<v Speaker 4>I have also been talking about that it's an election

0:26:05.400 --> 0:26:09.159
<v Speaker 4>year and first and foremost, in the coming week, you

0:26:09.200 --> 0:26:12.280
<v Speaker 4>have all of the social media CEOs in one place. Meta,

0:26:12.640 --> 0:26:16.240
<v Speaker 4>for example, is adding further measures to protect teams from

0:26:16.400 --> 0:26:20.560
<v Speaker 4>unwanted contact by turning off their ability to receive direct

0:26:20.560 --> 0:26:24.159
<v Speaker 4>messages from anyone they don't follow or aren't connected to

0:26:24.359 --> 0:26:28.400
<v Speaker 4>on Instagram by default. They're also increasing parental controls. These

0:26:28.400 --> 0:26:31.600
<v Speaker 4>measures come ahead of a Senate hearing on online child

0:26:31.720 --> 0:26:36.439
<v Speaker 4>sexual exploitation, where the CEOs of Meta, x, TikTok, Snap,

0:26:36.480 --> 0:26:39.240
<v Speaker 4>and Discord will testify next week.

0:26:39.480 --> 0:26:40.600
<v Speaker 5>There is a lot to pass over.

0:26:40.680 --> 0:26:43.159
<v Speaker 4>Let's break it down with Sharon Franco, head of Legal

0:26:43.200 --> 0:26:47.119
<v Speaker 4>and public policy at Uboa, Paris based social discovery platform

0:26:47.280 --> 0:26:50.240
<v Speaker 4>for gen Z, which has just unveiled its own reference

0:26:50.320 --> 0:26:54.040
<v Speaker 4>document on universal safety principles for young people online.

0:26:54.080 --> 0:26:55.480
<v Speaker 5>Welcome to the program.

0:26:55.880 --> 0:26:59.320
<v Speaker 4>We're very familiar with getting all of the CEOs of

0:26:59.400 --> 0:27:02.320
<v Speaker 4>social media companies in one place and lobbing questions at

0:27:02.320 --> 0:27:07.080
<v Speaker 4>them because cynicism or skepticism is what does it achieve?

0:27:09.480 --> 0:27:13.879
<v Speaker 10>Yes, so I cannot speak for a platform by now

0:27:14.000 --> 0:27:17.440
<v Speaker 10>and head over your life as you will, so it

0:27:17.600 --> 0:27:20.080
<v Speaker 10>dies matter. I think that's speaking set up and the

0:27:20.200 --> 0:27:21.760
<v Speaker 10>die makes cita, but I.

0:27:21.760 --> 0:27:24.159
<v Speaker 3>Expoke of that we're just having some struggles hearing you

0:27:24.200 --> 0:27:26.800
<v Speaker 3>at the moment. Let us just focus in on your

0:27:26.840 --> 0:27:29.239
<v Speaker 3>microphone for a second, because I think that we are

0:27:29.280 --> 0:27:31.960
<v Speaker 3>going to be hearing from the UBO perspective is, of course,

0:27:32.000 --> 0:27:35.000
<v Speaker 3>this is a company that's building in collaboration with Meta

0:27:35.040 --> 0:27:37.440
<v Speaker 3>and some of these other companies, social media companies, Away

0:27:37.440 --> 0:27:39.359
<v Speaker 3>in which you can sort of self police Away, in

0:27:39.359 --> 0:27:41.520
<v Speaker 3>which they can put in guardrails and in many ways

0:27:42.000 --> 0:27:46.040
<v Speaker 3>use artificial intelligence as a means of not just a

0:27:46.119 --> 0:27:49.120
<v Speaker 3>worry when it comes to exposure for children, but more

0:27:49.119 --> 0:27:52.040
<v Speaker 3>of a tool to heal and a way in which

0:27:52.080 --> 0:27:55.560
<v Speaker 3>that companies can identify when there's bad behavior going on,

0:27:55.600 --> 0:27:58.440
<v Speaker 3>when there's child exploitation potentially happening across that platform.

0:27:58.480 --> 0:28:01.320
<v Speaker 4>Remember that this hearing next week was due to happen

0:28:01.359 --> 0:28:05.239
<v Speaker 4>before the holidays, and my understanding from sources is they

0:28:05.240 --> 0:28:07.280
<v Speaker 4>couldn't get their BacT together and the CEOs couldn't be

0:28:07.280 --> 0:28:08.240
<v Speaker 4>in one place a one time.

0:28:08.520 --> 0:28:11.040
<v Speaker 5>You raise really good points. I brought up the election cycle.

0:28:11.359 --> 0:28:13.040
<v Speaker 4>You bring up AI and the thing that you and

0:28:13.080 --> 0:28:15.959
<v Speaker 4>I hear all the time in the cybersecurity context is

0:28:16.040 --> 0:28:16.480
<v Speaker 4>all of the.

0:28:16.440 --> 0:28:19.639
<v Speaker 5>Great tools that we have to advance our work and

0:28:19.680 --> 0:28:20.320
<v Speaker 5>things at home.

0:28:20.760 --> 0:28:24.960
<v Speaker 4>The threat actors have to amplify malicious content. So it's

0:28:24.960 --> 0:28:27.920
<v Speaker 4>going to be interesting if that's the point of focus

0:28:28.000 --> 0:28:30.600
<v Speaker 4>that the lawmakers go after, because often when you get

0:28:30.600 --> 0:28:35.080
<v Speaker 4>all these CEOs one place, they don't focus really.

0:28:34.960 --> 0:28:37.800
<v Speaker 3>On, well, sandlights, Isn't it unfortunate point the.

0:28:37.800 --> 0:28:40.640
<v Speaker 4>Conversation, as Sharon, I believe your your microphones back up

0:28:40.680 --> 0:28:42.400
<v Speaker 4>and running, So let's go with that. You know, what

0:28:42.520 --> 0:28:44.600
<v Speaker 4>is it that you think the industry, the social media

0:28:44.640 --> 0:28:48.360
<v Speaker 4>industry needs to demonstrate to the public in the coming week.

0:28:48.920 --> 0:28:52.360
<v Speaker 10>They need to demonstrate them I think it's already something

0:28:52.400 --> 0:28:55.640
<v Speaker 10>that is already a work in progress that needs to

0:28:55.680 --> 0:28:59.880
<v Speaker 10>demonstrate that they are invested and committed into tackling the

0:29:00.080 --> 0:29:05.360
<v Speaker 10>issues and protecting children's online. But I think that now

0:29:05.440 --> 0:29:08.880
<v Speaker 10>we need to focus on solution, and I expect from

0:29:08.960 --> 0:29:11.360
<v Speaker 10>this hearing, for example, that it will be focused on

0:29:11.440 --> 0:29:15.560
<v Speaker 10>solutions or peressional solution, practical solutions. I think that the

0:29:16.240 --> 0:29:21.120
<v Speaker 10>purpose that the SAY is looking for with this hearing

0:29:21.200 --> 0:29:25.120
<v Speaker 10>not only having an overview of the issues. Because we

0:29:25.200 --> 0:29:27.800
<v Speaker 10>know the issues, we know the impact of the use

0:29:27.840 --> 0:29:30.000
<v Speaker 10>of social media and the risk that the children are

0:29:30.040 --> 0:29:33.640
<v Speaker 10>facing and using these platforms. But now we need to

0:29:33.720 --> 0:29:37.200
<v Speaker 10>focus on operasional solutions and that's the work that we've

0:29:37.240 --> 0:29:40.520
<v Speaker 10>been doing as you go. Also really since the beginning

0:29:40.520 --> 0:29:45.080
<v Speaker 10>of the company, working on finding solutions, practical solutions.

0:29:44.840 --> 0:29:47.360
<v Speaker 3>Let's talk about them. Man. In many ways, you are

0:29:47.400 --> 0:29:50.600
<v Speaker 3>trying to ensure that someone is the age they identify

0:29:50.640 --> 0:29:54.640
<v Speaker 3>themselves as, in particular, whether that's using photos and artificial

0:29:54.640 --> 0:29:57.760
<v Speaker 3>intelligence to identify where they are indeed older or younger

0:29:57.760 --> 0:30:01.160
<v Speaker 3>than the age they've put in. Anyone under thirteen shouldn't

0:30:01.160 --> 0:30:03.560
<v Speaker 3>be used in the app. How have you done that

0:30:03.600 --> 0:30:05.880
<v Speaker 3>from a privacy perspective? How have you done that from

0:30:05.920 --> 0:30:07.240
<v Speaker 3>an opt in perspective?

0:30:08.280 --> 0:30:10.520
<v Speaker 10>You're pointing out one of the biggest issue when you

0:30:10.560 --> 0:30:14.800
<v Speaker 10>talk about putting in place of parisional solution to in

0:30:14.880 --> 0:30:18.400
<v Speaker 10>terms of safety, it's the privacy obligation. So as you know,

0:30:18.880 --> 0:30:21.520
<v Speaker 10>you boys a French company, so we are Europeans. Or

0:30:21.600 --> 0:30:24.680
<v Speaker 10>privacy and with the GPR is something that comes natural

0:30:24.720 --> 0:30:28.360
<v Speaker 10>for us, and that's why since the creation of the company,

0:30:28.360 --> 0:30:32.960
<v Speaker 10>we've been developed all our products safety pride design but

0:30:33.000 --> 0:30:35.360
<v Speaker 10>also privacy by design is the work that we need

0:30:35.400 --> 0:30:40.680
<v Speaker 10>to do at the same time, and it's doable. I mean,

0:30:40.680 --> 0:30:44.360
<v Speaker 10>we can do it. It's just a question of priority

0:30:44.520 --> 0:30:48.160
<v Speaker 10>and also a question of at what moment you start

0:30:48.240 --> 0:30:53.840
<v Speaker 10>to think about this question of compliance with privacy that

0:30:53.080 --> 0:30:58.040
<v Speaker 10>you that you need to take in consideration. And for example,

0:30:58.480 --> 0:31:00.600
<v Speaker 10>one of the work that we've been doing is working

0:31:00.680 --> 0:31:04.280
<v Speaker 10>with all the institution and administration in France but also

0:31:04.320 --> 0:31:07.560
<v Speaker 10>in UK for example, to work on what's obligation we

0:31:07.640 --> 0:31:11.640
<v Speaker 10>need to integrate and the work that we've been doing

0:31:11.680 --> 0:31:15.960
<v Speaker 10>with the French standard Organization, we've created we created a

0:31:16.000 --> 0:31:19.280
<v Speaker 10>working group with this agency and we in this working

0:31:19.280 --> 0:31:21.840
<v Speaker 10>group we had a lot of companies.

0:31:21.320 --> 0:31:22.560
<v Speaker 3>Like a Meta for example.

0:31:22.560 --> 0:31:27.760
<v Speaker 10>We're also ENGOs child protection ENGOs, but also institutions and

0:31:27.840 --> 0:31:31.040
<v Speaker 10>agencies such as the French that are protection authority for example.

0:31:31.280 --> 0:31:34.120
<v Speaker 10>And we've came up with one hundred pages of operational

0:31:34.160 --> 0:31:39.280
<v Speaker 10>solution giving a guidelines and recommendation on how to protect

0:31:39.320 --> 0:31:41.880
<v Speaker 10>my nods online, how to protect my nots on social media,

0:31:42.520 --> 0:31:46.200
<v Speaker 10>how to moderate content, how to work on age assurance.

0:31:46.320 --> 0:31:49.280
<v Speaker 10>Because there's a lot of solutions today that we can use.

0:31:50.480 --> 0:31:54.640
<v Speaker 3>You've come here to talk to lawmakers to show off

0:31:54.680 --> 0:31:57.200
<v Speaker 3>this document and to see whether or not will be adopted.

0:31:58.040 --> 0:32:01.640
<v Speaker 3>Has it landed on air? Is that welcoming? Are these

0:32:01.680 --> 0:32:04.680
<v Speaker 3>sorts of one hundred pages that you've given going to

0:32:04.760 --> 0:32:07.120
<v Speaker 3>work in the United States as well as in Europe

0:32:07.120 --> 0:32:07.560
<v Speaker 3>and the UK.

0:32:07.880 --> 0:32:10.200
<v Speaker 10>We hope, So we hope so that that's a purpose

0:32:10.240 --> 0:32:13.720
<v Speaker 10>that there's no reason why it shouldn't work because we

0:32:13.800 --> 0:32:16.320
<v Speaker 10>have all the we face all the same issues in

0:32:16.400 --> 0:32:20.240
<v Speaker 10>terms of risk, but we also now kind of ending

0:32:20.280 --> 0:32:24.520
<v Speaker 10>at a point where the legislation in terms of privacy

0:32:24.560 --> 0:32:30.040
<v Speaker 10>but also of child protection and social media legislation, it's

0:32:30.120 --> 0:32:33.320
<v Speaker 10>kind of not the same everywhere, but we are heading

0:32:33.400 --> 0:32:38.040
<v Speaker 10>all in the same direction. So there's no there's no

0:32:38.040 --> 0:32:41.440
<v Speaker 10>no reason why it shouldn't work here. As I said,

0:32:41.680 --> 0:32:44.160
<v Speaker 10>Meta was part of this working group for example, and

0:32:44.320 --> 0:32:48.520
<v Speaker 10>uh and uh, and we had no difficulty ending up

0:32:48.720 --> 0:32:51.440
<v Speaker 10>on something that we are all agreed on. And that's

0:32:51.600 --> 0:32:53.320
<v Speaker 10>that's the way we should That's the thing we should

0:32:53.360 --> 0:32:57.080
<v Speaker 10>keep in mind to day. Multi stake order work is

0:32:57.120 --> 0:33:00.600
<v Speaker 10>the way we we will achieve This of us and

0:33:00.680 --> 0:33:05.840
<v Speaker 10>who will achieve and having a social platform that protects

0:33:06.160 --> 0:33:10.920
<v Speaker 10>children and that's that are safe for them, that's really

0:33:10.960 --> 0:33:14.360
<v Speaker 10>the gold that we all want to achieve and it's yeah.

0:33:14.880 --> 0:33:17.880
<v Speaker 3>Sharon Franco, thank you for talking us through this document

0:33:18.080 --> 0:33:19.560
<v Speaker 3>and of course many can go out there and see

0:33:19.560 --> 0:33:20.880
<v Speaker 3>it what you've made at You've both the head of

0:33:20.960 --> 0:33:23.720
<v Speaker 3>legal and public policy there. Meanwhile, coming up, we'll take

0:33:23.760 --> 0:33:27.160
<v Speaker 3>a deep dive into healthcare investing and more. That's with

0:33:27.240 --> 0:33:30.000
<v Speaker 3>the Obvious Ventures. Stick with us. The VC Spotlight is

0:33:30.120 --> 0:33:42.680
<v Speaker 3>room meg Technology. Let's talk about investing from a venture perspective,

0:33:42.720 --> 0:33:45.680
<v Speaker 3>particularly in health tech. Right now, VC Spotlight is upon us.

0:33:45.680 --> 0:33:49.800
<v Speaker 3>Obvious Ventures co founder and managing director Vischelle Fasiche is

0:33:49.840 --> 0:33:52.880
<v Speaker 3>with us Obvious over one billion dollars in assets and

0:33:53.080 --> 0:33:55.320
<v Speaker 3>management and how much you've been able to put to

0:33:55.320 --> 0:33:57.200
<v Speaker 3>work as you kick off the new year, how much

0:33:57.200 --> 0:33:59.760
<v Speaker 3>you're seeing opportunities to write new checks at the moment.

0:34:01.840 --> 0:34:04.040
<v Speaker 2>First of all, thanks very much for inviting me here.

0:34:04.200 --> 0:34:08.200
<v Speaker 2>Ed and Caroline great great to be here at Obvious.

0:34:08.320 --> 0:34:12.719
<v Speaker 2>We've been busy. As you said, we have over one

0:34:12.719 --> 0:34:18.640
<v Speaker 2>billion dollars under management. We believe at Obvious that the

0:34:18.640 --> 0:34:21.439
<v Speaker 2>most valuable companies of our times would be companies which

0:34:21.440 --> 0:34:23.440
<v Speaker 2>are solving humanity is biggest challenges.

0:34:24.000 --> 0:34:27.359
<v Speaker 5>We believe that if we focus.

0:34:27.040 --> 0:34:32.200
<v Speaker 2>With this intentionality around three broad areas. One is planet health,

0:34:32.440 --> 0:34:36.200
<v Speaker 2>human health, and economic health. We'll create amazing companies for

0:34:36.680 --> 0:34:39.279
<v Speaker 2>our times, and this kind of investing is what we

0:34:39.360 --> 0:34:41.040
<v Speaker 2>call world positive investing.

0:34:42.040 --> 0:34:45.200
<v Speaker 4>What I find so interesting about this area, Michel, is

0:34:46.120 --> 0:34:48.640
<v Speaker 4>if you take health as an example, being a piece

0:34:48.640 --> 0:34:52.520
<v Speaker 4>of software or even in the hardware space in North America,

0:34:52.600 --> 0:34:56.040
<v Speaker 4>you're trying to build a product in a company that's

0:34:56.080 --> 0:35:01.080
<v Speaker 4>selling it to a highly regulated sector, doing business with

0:35:01.320 --> 0:35:04.360
<v Speaker 4>private and public orgs that have to go through tender

0:35:04.400 --> 0:35:08.640
<v Speaker 4>processes that move really slow. And I wonder how difficult

0:35:08.640 --> 0:35:10.959
<v Speaker 4>that makes life for you when you're trying to write

0:35:10.960 --> 0:35:14.320
<v Speaker 4>an early check to a company. Who's the future you're assessing.

0:35:17.080 --> 0:35:20.879
<v Speaker 2>Yeah, I think that's a great question. You know, all

0:35:20.920 --> 0:35:27.080
<v Speaker 2>of us can agree that we believe that we're not

0:35:27.160 --> 0:35:30.719
<v Speaker 2>getting banged for our healthcare buck. There's huge amount of

0:35:30.760 --> 0:35:35.080
<v Speaker 2>opportunities in our healthcare system. We spend four trillion dollars

0:35:36.440 --> 0:35:39.120
<v Speaker 2>in our healthcare system, but our outcomes are not that

0:35:39.239 --> 0:35:43.560
<v Speaker 2>great as compared to other similar nations. We have an

0:35:43.600 --> 0:35:47.799
<v Speaker 2>aging population, and this aging population is going to put

0:35:47.920 --> 0:35:51.719
<v Speaker 2>more pressure on our healthcare system as well as our

0:35:51.800 --> 0:35:56.120
<v Speaker 2>healthcare workers, who are wonderful friend tine workers. Healthcare is

0:35:56.120 --> 0:36:01.719
<v Speaker 2>a regulated industry. Things move slowly, but it's good as

0:36:01.960 --> 0:36:06.759
<v Speaker 2>new innovations come like AI that because of regulation, we

0:36:06.800 --> 0:36:09.400
<v Speaker 2>are able to be very thoughtful upfront to make a

0:36:09.480 --> 0:36:12.240
<v Speaker 2>positive den and solve these big problems in healthcare.

0:36:13.080 --> 0:36:13.360
<v Speaker 5>Visa.

0:36:13.400 --> 0:36:16.440
<v Speaker 4>I'm in New York today, just hopped over from San Francisco,

0:36:16.440 --> 0:36:19.160
<v Speaker 4>where I'm normally based. Caroline, and I love to get

0:36:19.160 --> 0:36:22.200
<v Speaker 4>the scoop. Okay, we just had JP Morgan where all

0:36:22.200 --> 0:36:25.319
<v Speaker 4>of your industry pairs were in the city, all of

0:36:25.360 --> 0:36:28.480
<v Speaker 4>the bankers, all of the vcs, all of the startup founders,

0:36:28.480 --> 0:36:31.359
<v Speaker 4>and all of the bigger biotech companies. Is there any

0:36:31.400 --> 0:36:34.080
<v Speaker 4>movement in the days that have followed, you know, any

0:36:34.120 --> 0:36:36.840
<v Speaker 4>deals that have crossed your desk is a direct result

0:36:36.840 --> 0:36:38.480
<v Speaker 4>of JP Morgan Healthcare Conference.

0:36:39.920 --> 0:36:40.239
<v Speaker 1>Yeah, I know.

0:36:40.360 --> 0:36:43.520
<v Speaker 2>JP Morgan always brings all the industry players here in

0:36:43.560 --> 0:36:47.680
<v Speaker 2>our wonderful city in San Francisco. I think the critical

0:36:47.760 --> 0:36:51.680
<v Speaker 2>thing all of us are talking about is what are

0:36:51.719 --> 0:36:53.759
<v Speaker 2>the kind of big problems and what are the solutions?

0:36:54.160 --> 0:36:58.680
<v Speaker 2>At obvious we focus on three broad areas in healthcare.

0:36:59.200 --> 0:37:03.239
<v Speaker 2>One believe our healthcare payment system has to come of

0:37:03.280 --> 0:37:08.040
<v Speaker 2>move towards more outcome driven versus paying for services only,

0:37:08.480 --> 0:37:14.120
<v Speaker 2>and the industry calls this value based approach of healthcare.

0:37:14.560 --> 0:37:18.959
<v Speaker 2>Number two, we believe the infrastructure of healthcare right now

0:37:19.040 --> 0:37:22.839
<v Speaker 2>is being powered from a technology point of view for

0:37:23.000 --> 0:37:27.040
<v Speaker 2>episodic care and for billing, and we need to move

0:37:27.080 --> 0:37:32.120
<v Speaker 2>towards more holistic care, more longitudinal care, and thanks to

0:37:32.200 --> 0:37:36.160
<v Speaker 2>new technologies like generative AI in future, move towards more

0:37:36.200 --> 0:37:41.160
<v Speaker 2>intelligent care so that we can provide excellent care for

0:37:41.280 --> 0:37:44.960
<v Speaker 2>every human being on the planet. And number three, from

0:37:44.960 --> 0:37:47.640
<v Speaker 2>a biology point of view, we believe biology is not

0:37:47.760 --> 0:37:51.560
<v Speaker 2>very well understood, so computational approaches as a way to

0:37:51.680 --> 0:37:55.919
<v Speaker 2>decode biology so that we can build amazing drugs at

0:37:56.120 --> 0:38:00.440
<v Speaker 2>great prices, fast timelines, and in personalized ways. So all

0:38:00.480 --> 0:38:04.560
<v Speaker 2>the industry people are thinking about that at JPM, and

0:38:04.719 --> 0:38:07.200
<v Speaker 2>we at Obvious have been investing in these three areas.

0:38:07.320 --> 0:38:09.920
<v Speaker 3>How much are you thinking and how much your founders

0:38:09.960 --> 0:38:14.640
<v Speaker 3>thinking about a political change and about potential for policymaking

0:38:14.840 --> 0:38:19.319
<v Speaker 3>to be different under potentially a different president come the

0:38:19.400 --> 0:38:20.000
<v Speaker 3>end of this year.

0:38:21.480 --> 0:38:24.759
<v Speaker 2>Yeah again, I think all of us, whether we are

0:38:24.840 --> 0:38:29.120
<v Speaker 2>Democrats or Republicans, we all agree that we are not

0:38:29.280 --> 0:38:33.799
<v Speaker 2>getting banked for our healthcare bark and because we are

0:38:33.840 --> 0:38:36.000
<v Speaker 2>not getting a bank for our healthcare work, all of

0:38:36.080 --> 0:38:39.360
<v Speaker 2>us need to figure out how do we move towards

0:38:39.920 --> 0:38:45.800
<v Speaker 2>solutions and supporting solutions. We are investing in innovation economy.

0:38:45.840 --> 0:38:49.680
<v Speaker 2>We are thinking about what would happen in next ten years.

0:38:49.920 --> 0:38:53.200
<v Speaker 2>We don't think about kind of you know what is

0:38:53.239 --> 0:38:56.520
<v Speaker 2>going to happen in next quarter. And these problems are

0:38:56.960 --> 0:39:03.000
<v Speaker 2>real and there's potential for companies will be using your technologies.

0:39:02.480 --> 0:39:06.040
<v Speaker 4>Like Jennerald b I, Obvious Ventures co founder and managing

0:39:06.080 --> 0:39:09.040
<v Speaker 4>director Vishor Vashish thank you so much for your time.

0:39:09.160 --> 0:39:10.920
<v Speaker 4>It's time for talking tech and first start. This is

0:39:10.960 --> 0:39:12.600
<v Speaker 4>something I reported overnight with our.

0:39:12.440 --> 0:39:14.320
<v Speaker 5>Deals team and Ian King Chips.

0:39:14.360 --> 0:39:18.720
<v Speaker 4>Startup Sarah Brass Systems is considering an initial public offering

0:39:19.000 --> 0:39:21.840
<v Speaker 4>as soon as this year. Bloomberg sources say that AI

0:39:21.920 --> 0:39:25.560
<v Speaker 4>supercomputer maker is aiming for the second half of the year.

0:39:25.560 --> 0:39:28.520
<v Speaker 4>An IPO corend value Sarah brafs above the four billion

0:39:28.560 --> 0:39:31.640
<v Speaker 4>dollar figure it achieved in its last round in twenty

0:39:31.640 --> 0:39:34.840
<v Speaker 4>twenty one. And Microsoft is warning others about a Russian

0:39:34.920 --> 0:39:38.520
<v Speaker 4>state sponsored hacking group. Last week, Microsoft accused the group,

0:39:38.560 --> 0:39:42.319
<v Speaker 4>known as Midnight Blizzard or Cozy Bear of hacking into

0:39:42.320 --> 0:39:45.840
<v Speaker 4>its executive's emails in December twenty twenty three. Earlier this week,

0:39:46.160 --> 0:39:49.960
<v Speaker 4>HPE reported a data breach that was likely caused by

0:39:49.960 --> 0:39:53.080
<v Speaker 4>the same group. Plus, after securing fifty million dollars in

0:39:53.120 --> 0:39:57.160
<v Speaker 4>funding from investors, Crew Trim has officially become India's first

0:39:57.239 --> 0:40:00.560
<v Speaker 4>AI startup to gain a billion dollar valuation. In mind,

0:40:00.760 --> 0:40:04.840
<v Speaker 4>there's only been one month since the debuted. It's LLLM Caroline.

0:40:04.880 --> 0:40:07.480
<v Speaker 3>Wow, things move fast. Meanwhile, so does the world of crypto.

0:40:07.560 --> 0:40:09.400
<v Speaker 3>Let's just get a check in on where bitcoin is,

0:40:09.400 --> 0:40:11.799
<v Speaker 3>because actually it's above forty one thousand dollars. It's well

0:40:11.840 --> 0:40:13.880
<v Speaker 3>off the highs that we've seen in the month or so.

0:40:14.080 --> 0:40:17.120
<v Speaker 3>But is there a slow down in outflows from the

0:40:17.160 --> 0:40:20.239
<v Speaker 3>all important gray scale? Bitcoin trust strategist seem to think

0:40:20.280 --> 0:40:23.040
<v Speaker 3>that maybe if we can slow that outflow, maybe we'll

0:40:23.040 --> 0:40:25.799
<v Speaker 3>see some resilience in the price of bitcoin. Let's talk

0:40:25.840 --> 0:40:29.360
<v Speaker 3>about the tokens. James Stephens with US BlueBag Intelligence and James,

0:40:30.080 --> 0:40:33.799
<v Speaker 3>why should outflows of an ETF matter, particularly to a

0:40:33.800 --> 0:40:34.440
<v Speaker 3>price point?

0:40:35.600 --> 0:40:38.399
<v Speaker 12>Yeah, I mean so, the outflows of an ETF. They

0:40:38.480 --> 0:40:41.160
<v Speaker 12>are part of the entire pie that makes up the

0:40:41.160 --> 0:40:43.680
<v Speaker 12>price of bitcoin. Because you were dealing in spot bitcoin

0:40:43.719 --> 0:40:45.480
<v Speaker 12>at the end of the day, So outflows of the

0:40:45.480 --> 0:40:49.600
<v Speaker 12>etf are selling of bitcoin. That said, we've had net

0:40:49.640 --> 0:40:52.680
<v Speaker 12>inflows since these things launched on the spot bitcoin ETFs

0:40:52.680 --> 0:40:55.359
<v Speaker 12>in the US. You look at a little more broadly, though,

0:40:55.400 --> 0:40:57.400
<v Speaker 12>you can see that open interests of futures in the

0:40:57.400 --> 0:41:00.840
<v Speaker 12>CME Bitcoin futures that's down. You've had a little bit

0:41:00.840 --> 0:41:03.040
<v Speaker 12>of outflows from Canadian ets, You've had a little bit

0:41:03.040 --> 0:41:06.799
<v Speaker 12>of outflows from European bitcoin ETFs. So net, there has

0:41:06.880 --> 0:41:08.919
<v Speaker 12>been net outflow. But what a lot of people seem

0:41:08.920 --> 0:41:11.040
<v Speaker 12>to be missing is like these are just a piece

0:41:11.080 --> 0:41:13.520
<v Speaker 12>of the pie. There's a lot of other things going

0:41:13.520 --> 0:41:16.120
<v Speaker 12>on here. These are a small percentage point in what's

0:41:16.280 --> 0:41:18.760
<v Speaker 12>actually happening to the bitcoin price.

0:41:18.880 --> 0:41:21.080
<v Speaker 4>I'm reading the Bloomberg terminal and there's this sort of

0:41:21.280 --> 0:41:25.160
<v Speaker 4>narrative around rebounding back toward forty two hundred US dollars betoken.

0:41:25.600 --> 0:41:27.600
<v Speaker 4>But if you just look at a char we kind

0:41:27.640 --> 0:41:30.399
<v Speaker 4>of tumbled down from that January eight high and we're

0:41:30.400 --> 0:41:35.759
<v Speaker 4>having a sprightly uptick. Explain that that trading action relative

0:41:35.880 --> 0:41:39.319
<v Speaker 4>to the actual mechanics of the products that have come

0:41:39.360 --> 0:41:41.280
<v Speaker 4>online in the last three weeks.

0:41:42.040 --> 0:41:43.880
<v Speaker 12>Yeah, so, I mean from my point of view, it's

0:41:43.960 --> 0:41:46.840
<v Speaker 12>kind of been sideways since like January, right, So we

0:41:47.160 --> 0:41:49.479
<v Speaker 12>had on the ETF launch, we had a massive spike

0:41:49.560 --> 0:41:51.080
<v Speaker 12>up to forty nine, but for the most part we've

0:41:51.080 --> 0:41:53.239
<v Speaker 12>been in this low forties ranges, dip below forty a

0:41:53.280 --> 0:41:55.319
<v Speaker 12>little bit here and there, but I think a lot

0:41:55.320 --> 0:41:57.200
<v Speaker 12>of the selling, I mean, we knew this was going

0:41:57.239 --> 0:41:58.840
<v Speaker 12>to happen. There was a lot of money that was

0:41:58.920 --> 0:42:02.480
<v Speaker 12>tied up in GBTC, institutional capital capital from bankruptcies like

0:42:02.600 --> 0:42:05.319
<v Speaker 12>FTX DCG has a lot of money tied up in

0:42:05.360 --> 0:42:07.759
<v Speaker 12>here that they probably need access to themselves. They're the

0:42:07.840 --> 0:42:11.920
<v Speaker 12>parent company of grey Scales GBTC. So there's been like

0:42:12.040 --> 0:42:14.880
<v Speaker 12>force selling in the market because people they want to

0:42:14.880 --> 0:42:17.600
<v Speaker 12>get their capital out. But there has also been buying

0:42:17.600 --> 0:42:20.960
<v Speaker 12>on the other side of this, So there was undoubtedly

0:42:20.960 --> 0:42:23.720
<v Speaker 12>foreselling that caused what we've seen the in recent weeks.

0:42:23.960 --> 0:42:25.960
<v Speaker 12>I think people are expecting this to slow down. We've

0:42:25.960 --> 0:42:28.400
<v Speaker 12>seen some of it hinted at this, Like Caroline mentioned,

0:42:28.400 --> 0:42:30.480
<v Speaker 12>we only saw three hundred and ninety four million come

0:42:30.480 --> 0:42:32.879
<v Speaker 12>out of GBTC yesterday, which is which is a low

0:42:32.920 --> 0:42:35.560
<v Speaker 12>of over the last couple of weeks James.

0:42:35.760 --> 0:42:38.839
<v Speaker 3>Great to catch up with you never dials down when

0:42:38.880 --> 0:42:40.279
<v Speaker 3>it comes to the world of the new ats you

0:42:40.320 --> 0:42:42.520
<v Speaker 3>thank you from Blueberg Intelligence that does it for this

0:42:42.719 --> 0:42:44.640
<v Speaker 3>edition of Bluemeg Technology. Nice to have you here.

0:42:44.840 --> 0:42:45.200
<v Speaker 5>Thank you.

0:42:45.400 --> 0:42:48.520
<v Speaker 4>Check out the pod from New York City and a

0:42:48.560 --> 0:42:51.560
<v Speaker 4>little trip. There's the deats. This is Bloomberg