WEBVTT - Trump Eyes Chips Act Funds for Intel Stake

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

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<v Speaker 1>live from Coast to Coast with Caroline Hyde and New

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<v Speaker 1>York and Ed Ludlow in Fendrances Go.

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<v Speaker 2>This is Bloomberg Tech.

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<v Speaker 3>Coming up, the Trump administration is eyeing CHIPSAC funds for

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<v Speaker 3>a steak in Intel.

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<v Speaker 4>Plus applied materials plunges due to growing trade concerns between

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<v Speaker 4>the US and China.

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<v Speaker 3>And an in depth interview with Open AI chairman and

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<v Speaker 3>Sierra CEO Brett Taylor that's later in the hour.

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<v Speaker 2>We go straight to.

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<v Speaker 3>The top story, Bloomberg reporting the White House is considering

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<v Speaker 3>tapping US CHIPSAC funds in an effort to take a

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<v Speaker 3>steak in American chip maker Intel. That's according to sources.

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<v Speaker 3>For more, Bloomberg's Joe Doe joins us Joe, what's the

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<v Speaker 3>new information?

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<v Speaker 2>Reporting today?

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<v Speaker 5>Right?

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<v Speaker 6>A follow on from yesterday's scoop from Bloomberg that it

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<v Speaker 6>looks like the funding that the White House is looking

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<v Speaker 6>at using would come from chips Act money. Of course,

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<v Speaker 6>everybody might remember that from the law pass during the

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<v Speaker 6>Biden administration. We've understood that some of that money has

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<v Speaker 6>laid dormant and could be potentially used for this potential

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<v Speaker 6>equity stake that the administration was looking at and Intel.

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<v Speaker 4>Fascinating because we understood there was almost eight billion dollars

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<v Speaker 4>coming Intel's way pre agreed, maybe even eleven billion dollars

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<v Speaker 4>and loans. We don't know the intricacies of how much

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<v Speaker 4>money and what equity state that would be equivalent to.

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<v Speaker 4>But Joe remind us why the US government is doing this,

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<v Speaker 4>We're even eyeing it.

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<v Speaker 6>The way to look at so much of this Intel

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<v Speaker 6>is one. Of course, this hasn't happened, but we do

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<v Speaker 6>have one that has happened, which was the MP Materials,

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<v Speaker 6>rare earth company that very few people have heard of,

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<v Speaker 6>but just got a four hundred million dollar preferred EQ

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<v Speaker 6>stake investment from the Defense Department. It is all built

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<v Speaker 6>around this idea of national security. What does the Trump administration,

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<v Speaker 6>the White House view as central to national security efforts,

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<v Speaker 6>in particular related to its race against China. You have

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<v Speaker 6>a rare earth company, potentially a chips company. Earlier this week,

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<v Speaker 6>had we had the announcement that in Nvidia and AMD

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<v Speaker 6>would be giving fifteen percent of their revenues generated out

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<v Speaker 6>of China to the federal government, this is all built

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<v Speaker 6>around this kind of new idea that Trump.

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<v Speaker 2>Is trying to make work. Joe some basics.

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<v Speaker 3>Intel has not commented directly on our reporting. They've issued

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<v Speaker 3>this statement. We're going to put it on the screen

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<v Speaker 3>now and generally right this is the point that what

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<v Speaker 3>the administration is trying to do is achieve onshoring of

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<v Speaker 3>manufacturing of chips in this country. Intel kind of wants

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<v Speaker 3>to do the same thing. There is more reporting that

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<v Speaker 3>you did that a lot of this literally relates to

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<v Speaker 3>the meeting this week between Bhutan and the President.

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<v Speaker 6>What have sources teld us We understand that this is

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<v Speaker 6>the idea. This idea did come up in that meeting.

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<v Speaker 6>I think the point that we draw from this, and

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<v Speaker 6>I was just saying this earlier, is we have an

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<v Speaker 6>administration a president I'm not an administration, a president directly

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<v Speaker 6>who's willing to just have a bilateral talk or negotiation

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<v Speaker 6>with any CEO he can bring into the White House

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<v Speaker 6>that he finds, you know, central to some of the

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<v Speaker 6>most important themes.

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<v Speaker 2>In his second term.

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<v Speaker 6>So obviously, as the Intel chief come in and as

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<v Speaker 6>you've pointed out ed, you know, we don't have a

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<v Speaker 6>full confirm here that this is happening. These things remain fluid.

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<v Speaker 6>We've seen this in so many different issues with the

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<v Speaker 6>White House. A lot of it is just hey, what

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<v Speaker 6>about this? What about that? But in particular related to this,

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<v Speaker 6>the Intel chief does show up to the White House

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<v Speaker 6>and has this conversation with the President, and this apparently

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<v Speaker 6>is where this idea whispurred.

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<v Speaker 4>Bloomberg's Jodo fascinating reporting. Scoops keep coming. We thank you. Look,

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<v Speaker 4>let's dive into the Intel side of the equation. Why

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<v Speaker 4>they do it? Jordan Klein, Zooho Securities Managing director joins

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<v Speaker 4>us now who put I don't knowe this morning discussing

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<v Speaker 4>the implications of a possible government stake and Jordan, you're

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<v Speaker 4>questioning it, asking how does the US government help Intel

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<v Speaker 4>fixes leading edge node when it's not a money issue?

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<v Speaker 7>They have no customers and.

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<v Speaker 4>There is a good reason for that. Jordan, extrapolate on that.

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<v Speaker 8>Yeah, I mean, Intel, in my opinion, has two main issues.

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<v Speaker 8>One is on the technology side, where their leading edge

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<v Speaker 8>foundry business has struggled to execute at these more advanced

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<v Speaker 8>nodes and they've lost you know, a lot of potential

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<v Speaker 8>business and share to TSM, who's executed flawlessly. And the

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<v Speaker 8>second big issue is, you know, and this is kind

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<v Speaker 8>of the chicken in the egg, is that they don't

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<v Speaker 8>have any external non Intel customers to move you know,

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<v Speaker 8>volume and bi business into these fabs on this new

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<v Speaker 8>leading edge. So you kind of need the former, meaning

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<v Speaker 8>you need to be a leader improved to customers you

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<v Speaker 8>can execute at these advanced nodes for these you know,

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<v Speaker 8>AI and leading edge chips.

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<v Speaker 9>And then secondly then you need to win the business.

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<v Speaker 8>And until they get both of those, I think they're

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<v Speaker 8>going to continue to struggle.

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<v Speaker 4>And the Bhutan really said that articulated it in the

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<v Speaker 4>earnings saying we are not going to have this, build

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<v Speaker 4>it and they will come. Mentality, they've got to say.

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<v Speaker 7>That they're coming before we build it.

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<v Speaker 4>In the fourteen a leading cutting edge nodes for example Jordan,

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<v Speaker 4>is government control or at a smaller equity stake going

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<v Speaker 4>to secure that demand.

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<v Speaker 8>Well, on the surface, it's not because the customers are

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<v Speaker 8>going to ultimately decide is Intel a company I can

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<v Speaker 8>depend and count on for my most advanced you know

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<v Speaker 8>products that I have to get to the market. Why

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<v Speaker 8>would I leave TSM who's proven to me year after

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<v Speaker 8>year that they can execute on the plan. I think

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<v Speaker 8>the goal here is that Trump puts some money in

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<v Speaker 8>or gets the government to invest, and then uses that

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<v Speaker 8>to get Intel to accelerate the process of building out

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<v Speaker 8>these new fabs in Ohio, and then he can go

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<v Speaker 8>to these customers like Broadcom, Qualcom, Apple and Nvidia and say, oh,

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<v Speaker 8>now they have the capability and you need to move

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<v Speaker 8>more of your orders and production to a domestic, leading

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<v Speaker 8>edge company like Intel.

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<v Speaker 3>Jordan, I really want the desk analysts take and experience.

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<v Speaker 3>We broke the story yesterday about the stake, We broke

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<v Speaker 3>the story this morning about using chips Act funds. What

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<v Speaker 3>was the byside saying to you about how they interpreted

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<v Speaker 3>that news.

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<v Speaker 8>Yeah, that's kind of the key question, and I think

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<v Speaker 8>it's it's I haven't heard a ton of questions as

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<v Speaker 8>to Okay, what next does this mean I go out

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<v Speaker 8>and buy Intel. Ultimately, if you look at semiconductors that

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<v Speaker 8>have led much of the market this year, I think

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<v Speaker 8>Intel has been the laggered due to their weak fundamentals

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<v Speaker 8>and a lot of people who need shorts to offset longs,

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<v Speaker 8>like in video, Broadcon TSM.

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<v Speaker 9>Have used Intel as that short.

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<v Speaker 8>Now today the news about a stake and what this

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<v Speaker 8>could mean I think gets people nervous. You know, maybe

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<v Speaker 8>Intel's going to go on a run. I should cover

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<v Speaker 8>my short But outside of that, I do not hear

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<v Speaker 8>you know, big mutual funds, the traditional guys who would

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<v Speaker 8>come in take a big steak and think this company

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<v Speaker 8>is going to turn it around, you know, acting on

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<v Speaker 8>this and these headlines. One because it's premature, but two,

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<v Speaker 8>I think they're coming to the same conclusion that I

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<v Speaker 8>just talked about, is that how does government money or

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<v Speaker 8>an equity stake, you know, really bring them the customers

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<v Speaker 8>or fixed their internal technology problems?

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<v Speaker 9>And that's unknown.

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<v Speaker 3>Jensen Wogen Nvidia have demonstrated the proximity to the President

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<v Speaker 3>has allowed them to move fast as I'm thinking King

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<v Speaker 3>Prince be actually about exports to the Gulf, a good

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<v Speaker 3>relationship between the President and lit Bhutan.

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<v Speaker 2>Is there an unlock for Intel in that, Well, you know.

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<v Speaker 8>I don't know what the I think ultimately, here's what

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<v Speaker 8>I would Here's the way I see it is that

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<v Speaker 8>I don't think Trump likes the fact that the you know, largest,

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<v Speaker 8>you know, oldest and most established kind of US foundry

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<v Speaker 8>logic company and Intel is on its heels struggling, losing

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<v Speaker 8>share to these foreign players in Asia like TSM.

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<v Speaker 9>I think it's a bad look.

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<v Speaker 8>Obviously, he wants the US, you know, to be great

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<v Speaker 8>again and that you know, we so much depends on semiconductors.

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<v Speaker 8>So I think the fact that they're firing people, reducing costs,

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<v Speaker 8>struggling is just a bad look under his watch. And

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<v Speaker 8>all this Chipsacked money was allocated and they got the

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<v Speaker 8>most of it.

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<v Speaker 9>So I think basically he's saying.

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<v Speaker 8>I want some return for this, and you know, I

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<v Speaker 8>want to try to help this, you know, semiconductor business

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<v Speaker 8>domestically improve, and that's got to start with you somehow.

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<v Speaker 9>So I think he's just putting pressure.

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<v Speaker 8>On them, and I don't know what other alternative Intel has,

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<v Speaker 8>they can't really push back, and ultimately they'll probably take

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<v Speaker 8>what money the government wants to invest and try to

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<v Speaker 8>strengthen the relationship going forward.

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<v Speaker 4>Jordan, what's so interesting is then we heard on Air

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<v Speaker 4>Force one, and we're going to discuss it more in

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<v Speaker 4>the show later.

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<v Speaker 7>A potential threat of.

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<v Speaker 4>Two hundred to three hundred percent tariffs on semiconductors coming

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<v Speaker 4>into the US.

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<v Speaker 7>But there are huge.

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<v Speaker 4>Carve outs that we understand being written here that if

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<v Speaker 4>you're investing a lot in America, you don't face that.

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<v Speaker 4>So that seems that TSMC and Samsung that are building

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<v Speaker 4>in America aren't affected. Is he going to allow these

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<v Speaker 4>big Asian chip giants to continue to build in America

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<v Speaker 4>and get these sorts of carve outs.

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<v Speaker 9>I don't know what other alternative they really have.

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<v Speaker 8>I mean, the US is in the government, and the

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<v Speaker 8>administration's kind of in a tough spot here. They need

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<v Speaker 8>to project, like, you know, a strategy of trying to

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<v Speaker 8>get you know, more domestic US semiconductor capacity. But if

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<v Speaker 8>you get too tough and put too high of a tariff,

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<v Speaker 8>that that really puts the US consumer and our strategic technology,

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<v Speaker 8>whether it's defense or AI, at a major disadvantage. And

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<v Speaker 8>the reason that is is because the US doesn't have

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<v Speaker 8>an alternative. It's not like, you know, we can just

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<v Speaker 8>shift to all this domestic capacity. It's going to take

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<v Speaker 8>a lot of time and money to basically get that.

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<v Speaker 8>And right now that's basically TSM and a lot of

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<v Speaker 8>Samsung and some of Intel. So I think that's why

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<v Speaker 8>they get the carve outs is to buy time and

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<v Speaker 8>then ultimately that time runs out, and then Trump's going

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<v Speaker 8>to say, well, if we have the capacity here and

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<v Speaker 8>Intel is, you know, on a better footing and track,

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<v Speaker 8>then we want you to push that those orders in

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<v Speaker 8>that money towards Intel and away from Ta Simon Samsung,

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<v Speaker 8>and that's where he could start to then use the

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<v Speaker 8>tariffs to basically push that business towards Intel.

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<v Speaker 4>Really thoughtful and a great note. Jordan Klein of Mizuho,

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<v Speaker 4>Thanks for bringing you expertise.

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<v Speaker 7>Shares of Applied Materials tumbling.

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<v Speaker 4>Worst day since March twenty twenty after the company presented

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<v Speaker 4>a disappointing sales forecast for the fiscal fourth quarter said

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<v Speaker 4>it's seeing less demand from China more. Let's bring in

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<v Speaker 4>Bloomberg's Brodie Ford. What's so interesting is Land Research came

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<v Speaker 4>out a week or so ago and look pretty buoyant

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<v Speaker 4>about future growth and revenue. Very different for this chip

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<v Speaker 4>equipment company.

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<v Speaker 10>You are pointing out the debate that is waging and

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<v Speaker 10>all the sales side reports in my inbox right now, right,

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<v Speaker 10>I mean on the call last night, the narrative from

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<v Speaker 10>the company was that China demand is worst and some

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<v Speaker 10>of our largest customer mergers that are holding off due

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<v Speaker 10>to kind of just general economic uncertainty, tariffs and all that.

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<v Speaker 11>But there's also a head here.

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<v Speaker 10>As you said, some of the peers have done relatively well.

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<v Speaker 10>So is applied losing share here? Or is this truly

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<v Speaker 10>just a macroeconomic it's hitting everybody the same way kind

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<v Speaker 10>of issue.

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<v Speaker 3>They try to explain away those two categories of customer.

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<v Speaker 3>Right in China, loads of chip makers have gone through

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<v Speaker 3>a refresh of their equipment, but the larger customers they're

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<v Speaker 3>talking about is largely TSMC and Samsung.

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<v Speaker 2>And this is a tariff's issue. What is it?

0:12:30.480 --> 0:12:30.720
<v Speaker 12>Right?

0:12:30.920 --> 0:12:33.840
<v Speaker 10>I think tariffs is the big word we heard, but

0:12:33.920 --> 0:12:36.679
<v Speaker 10>I think also, I mean, we have an administration right

0:12:36.720 --> 0:12:40.200
<v Speaker 10>now that's negotiating trade deals. I mean, we saw the

0:12:40.240 --> 0:12:43.719
<v Speaker 10>Intel news this morning. There's just a lot of economic

0:12:43.800 --> 0:12:46.400
<v Speaker 10>uncertainty right now, right, I mean, some of the data

0:12:46.480 --> 0:12:49.440
<v Speaker 10>coming out people are questioning. And so the narrative we

0:12:49.520 --> 0:12:51.560
<v Speaker 10>heard on the call, and I heard in a conversation

0:12:51.720 --> 0:12:55.359
<v Speaker 10>with the CEO is that companies are holding off purchases.

0:12:55.400 --> 0:12:57.760
<v Speaker 10>They're not sure exactly what the economic picture of it

0:12:57.840 --> 0:13:00.240
<v Speaker 10>is like in six months, and so why do you

0:13:00.280 --> 0:13:02.560
<v Speaker 10>want to make a multi billion dollar commitment right now?

0:13:02.559 --> 0:13:04.480
<v Speaker 10>How much to hit the brakes for a little while.

0:13:04.800 --> 0:13:07.560
<v Speaker 4>And Brodie, we put this in the deeper context as

0:13:07.559 --> 0:13:09.720
<v Speaker 4>you just hinted at with Intel. This is at a

0:13:09.760 --> 0:13:12.200
<v Speaker 4>time where we want more manufacturing the United States, according

0:13:12.200 --> 0:13:14.760
<v Speaker 4>to the administration, and Apply Materials.

0:13:14.360 --> 0:13:14.920
<v Speaker 7>Is part of that.

0:13:15.240 --> 0:13:17.440
<v Speaker 4>They've got what eighty percent of the revenue.

0:13:17.080 --> 0:13:17.720
<v Speaker 7>Coming from abroad.

0:13:17.720 --> 0:13:20.520
<v Speaker 4>But is that going to shift more to America?

0:13:20.679 --> 0:13:23.319
<v Speaker 10>That is the song they're singing, right, I mean they

0:13:23.360 --> 0:13:26.960
<v Speaker 10>say that we are involved with you know, Apple's initiatives

0:13:26.960 --> 0:13:31.800
<v Speaker 10>and Samsungs. The actual dollars committed at this point to

0:13:32.000 --> 0:13:34.960
<v Speaker 10>me don't look incredible, right. I mean, a lot of

0:13:34.960 --> 0:13:38.199
<v Speaker 10>companies are talking about multi billions invested in the US,

0:13:38.240 --> 0:13:40.760
<v Speaker 10>and Apply to talking about hundreds of millions, and so

0:13:41.280 --> 0:13:44.000
<v Speaker 10>I don't think the expectation is that revenue shift to

0:13:44.040 --> 0:13:47.160
<v Speaker 10>the US in a meaningful way right now. But it's

0:13:47.200 --> 0:13:49.520
<v Speaker 10>an interesting part of the narrative. I mean, how much

0:13:49.600 --> 0:13:54.080
<v Speaker 10>can the administration push the industry to, you know, reshore

0:13:54.200 --> 0:13:56.960
<v Speaker 10>more of this demanding capacity?

0:13:57.200 --> 0:14:01.040
<v Speaker 3>Then, thanks Brady Ford, thank you very much. Meanwhile, President

0:14:01.040 --> 0:14:03.520
<v Speaker 3>Trump is en route to Alaska for a high stakes

0:14:03.559 --> 0:14:06.120
<v Speaker 3>meeting with Russian President Vladimir Putin.

0:14:06.280 --> 0:14:07.880
<v Speaker 2>During the flight on air Force one.

0:14:08.040 --> 0:14:11.040
<v Speaker 3>He addressed the state of tariffs on chip makers, saying

0:14:11.080 --> 0:14:13.440
<v Speaker 3>it could rise to as much as three hundred percent.

0:14:13.520 --> 0:14:14.000
<v Speaker 2>Listen to this.

0:14:14.880 --> 0:14:17.320
<v Speaker 12>They're all coming in because they want to beat the

0:14:17.400 --> 0:14:20.240
<v Speaker 12>tariffs because if they open here, they don't have to

0:14:20.240 --> 0:14:22.520
<v Speaker 12>pay tariffs. If they don't open here, they have to

0:14:22.560 --> 0:14:26.520
<v Speaker 12>make in some cases two hundred percent, three hundred percent.

0:14:27.400 --> 0:14:29.760
<v Speaker 12>I haven't even said some of the tariffs yet till

0:14:29.880 --> 0:14:34.520
<v Speaker 12>sent Semiconductors will be setting sometime next week week.

0:14:34.560 --> 0:14:38.920
<v Speaker 3>Care for for more on the tariff implications on chips

0:14:38.920 --> 0:14:43.320
<v Speaker 3>and the broader technology sector. Martin Norton Empower Chief Investment Strategists. Actually,

0:14:43.320 --> 0:14:46.000
<v Speaker 3>of all the reporting out there, this is the President

0:14:46.160 --> 0:14:49.160
<v Speaker 3>speaking on the record saying up to three hundred percent

0:14:49.200 --> 0:14:52.160
<v Speaker 3>tariffs on chips coming into America. I haven't even said

0:14:52.200 --> 0:14:55.960
<v Speaker 3>the tariffs yet. This is the point policy keeps changing.

0:14:56.680 --> 0:14:58.880
<v Speaker 3>As a strategist, how do you interpret it?

0:15:00.080 --> 0:15:02.120
<v Speaker 13>Well, I mean, I think there's a few things that

0:15:02.160 --> 0:15:03.120
<v Speaker 13>we have to look at.

0:15:03.160 --> 0:15:03.560
<v Speaker 14>First.

0:15:03.640 --> 0:15:05.800
<v Speaker 13>We have to look at the breadth of the tariffs

0:15:05.800 --> 0:15:08.440
<v Speaker 13>that we've seen and the way the market has reacted

0:15:08.520 --> 0:15:12.480
<v Speaker 13>as tariffs have become part of the daily conversation. At first,

0:15:12.560 --> 0:15:15.000
<v Speaker 13>you know, April second, this was something that the market

0:15:15.200 --> 0:15:16.360
<v Speaker 13>felt was a disaster.

0:15:17.000 --> 0:15:17.840
<v Speaker 14>But as we've.

0:15:17.800 --> 0:15:21.320
<v Speaker 13>Rolled forward, we've seen little effect on corporate earnings, we've seen.

0:15:21.160 --> 0:15:22.760
<v Speaker 14>Little effect on economic data.

0:15:23.040 --> 0:15:26.040
<v Speaker 13>And I think there's this kind of benign neglect of

0:15:26.480 --> 0:15:29.800
<v Speaker 13>tariffs as a concern for the market, which I think

0:15:29.840 --> 0:15:33.840
<v Speaker 13>embolden's President Trump to continue to push forward bigger and

0:15:33.840 --> 0:15:36.360
<v Speaker 13>bigger numbers when we're looking at triple digits. Of course,

0:15:36.400 --> 0:15:39.280
<v Speaker 13>when we're talking about tariffs, that's a pretty astonishing thing.

0:15:39.400 --> 0:15:42.880
<v Speaker 13>I really like how your last guest with Jordan really

0:15:43.280 --> 0:15:46.720
<v Speaker 13>kind of talked about the very long term emphasis here.

0:15:47.040 --> 0:15:50.200
<v Speaker 13>Building manufacturing here in the US is a long term thing.

0:15:50.760 --> 0:15:53.760
<v Speaker 13>Forcing companies or encouraging companies to buy US as a

0:15:53.800 --> 0:15:56.400
<v Speaker 13>long term thing, and I think these tariffs are part

0:15:56.400 --> 0:15:56.960
<v Speaker 13>of that game.

0:15:58.160 --> 0:16:02.480
<v Speaker 3>So if the endgame is bring Chit manufacturing back to America,

0:16:03.080 --> 0:16:06.880
<v Speaker 3>you agree with Jordan that it will work or you disagree.

0:16:07.080 --> 0:16:08.960
<v Speaker 13>Well, I think there has to be a long term

0:16:09.000 --> 0:16:12.480
<v Speaker 13>commitment on the part of the administration and the folks

0:16:12.560 --> 0:16:15.000
<v Speaker 13>in Washington to keep those tariffs in place. I think

0:16:15.080 --> 0:16:17.600
<v Speaker 13>that's in question whether that's something that we're going to

0:16:17.640 --> 0:16:20.320
<v Speaker 13>see over the period of several years, because that's what

0:16:20.360 --> 0:16:24.200
<v Speaker 13>it would take several years to bring manufacturing back to

0:16:24.480 --> 0:16:26.920
<v Speaker 13>the United States or to the United States in the

0:16:26.920 --> 0:16:27.480
<v Speaker 13>first place.

0:16:27.880 --> 0:16:29.440
<v Speaker 14>So I think there's still.

0:16:29.200 --> 0:16:31.680
<v Speaker 13>An open question as to how effective it will be

0:16:32.200 --> 0:16:35.200
<v Speaker 13>and how long term that commitment will be, and how.

0:16:35.040 --> 0:16:38.640
<v Speaker 4>Long until you see it rewarding companies like an Applied Materials,

0:16:38.680 --> 0:16:40.640
<v Speaker 4>which right here right now is having its worst days.

0:16:40.640 --> 0:16:43.480
<v Speaker 4>It's March twenty twenty and rated all of its games

0:16:43.480 --> 0:16:45.760
<v Speaker 4>for the year Marta. How do you decide who are

0:16:45.800 --> 0:16:47.520
<v Speaker 4>the winners longer term in this environment?

0:16:48.120 --> 0:16:50.880
<v Speaker 13>I think the winners is one of the bigger questions

0:16:50.880 --> 0:16:52.680
<v Speaker 13>that we're looking at, especially when you start to look

0:16:52.720 --> 0:16:55.760
<v Speaker 13>at it in the context of artificial intelligence. When we're

0:16:55.760 --> 0:16:58.440
<v Speaker 13>taking a look at corporate earnings long term, of course

0:16:58.520 --> 0:17:02.040
<v Speaker 13>we're concerned about the that deglobalization will have on those

0:17:02.040 --> 0:17:04.640
<v Speaker 13>corporate earnings. And yet when we look at the estimates

0:17:04.680 --> 0:17:09.400
<v Speaker 13>that artificial intelligence can add to corporate earnings to profit margins,

0:17:09.480 --> 0:17:12.200
<v Speaker 13>it more than offsets it. The question is who those

0:17:12.240 --> 0:17:15.520
<v Speaker 13>winners are, And what we've seen in past periods of

0:17:15.520 --> 0:17:18.199
<v Speaker 13>innovation is that the early winners are not necessarily the

0:17:18.240 --> 0:17:21.800
<v Speaker 13>long term the enduring winners. And there's also questions as

0:17:21.840 --> 0:17:25.440
<v Speaker 13>to how different industries respond. You know, first folks thought

0:17:25.600 --> 0:17:27.800
<v Speaker 13>with software is the next leg of this story, but

0:17:27.840 --> 0:17:30.560
<v Speaker 13>that doesn't necessarily need to be the case. If some

0:17:30.640 --> 0:17:33.080
<v Speaker 13>of these big tech companies can capture some of the

0:17:33.080 --> 0:17:34.800
<v Speaker 13>developments there, it's not necessarily going.

0:17:34.760 --> 0:17:36.280
<v Speaker 14>To be the small cap companies that win.

0:17:36.640 --> 0:17:38.960
<v Speaker 13>So when I'm looking at this and I'm thinking about

0:17:39.000 --> 0:17:41.080
<v Speaker 13>how do you play this, I think it's more of

0:17:41.119 --> 0:17:43.480
<v Speaker 13>a broad based question than it is trying to find

0:17:43.520 --> 0:17:44.920
<v Speaker 13>and pick those narrow winners.

0:17:45.680 --> 0:17:52.040
<v Speaker 4>So you take tech thinking to other industry groups, that's right, Yes,

0:17:52.080 --> 0:17:52.760
<v Speaker 4>absolutely so.

0:17:52.920 --> 0:17:56.160
<v Speaker 13>For example, if you're taking a look at where can

0:17:56.160 --> 0:17:59.440
<v Speaker 13>you apply AI? Where can you apply some of these narratives.

0:18:00.119 --> 0:18:03.639
<v Speaker 13>The areas that we've heard talked about regularly is healthcare

0:18:03.680 --> 0:18:07.399
<v Speaker 13>and applying artificial intelligence to research and development. That's a

0:18:07.440 --> 0:18:10.080
<v Speaker 13>long term play, and of course there's tons of headwinds

0:18:10.119 --> 0:18:13.479
<v Speaker 13>against healthcare, pharma and the like, and when we think

0:18:13.520 --> 0:18:16.680
<v Speaker 13>about those headwinds, those are opening up pretty attractive valuations

0:18:16.960 --> 0:18:20.200
<v Speaker 13>while there's also this positive long term narrative that's there.

0:18:20.440 --> 0:18:22.119
<v Speaker 13>So I do think that we can look at some

0:18:22.200 --> 0:18:24.760
<v Speaker 13>of these other areas, particularly those that are a bit cheaper.

0:18:24.800 --> 0:18:27.359
<v Speaker 13>There's not many of them. There's a few as areas

0:18:27.400 --> 0:18:29.520
<v Speaker 13>of long term beneficiaries of AI.

0:18:31.040 --> 0:18:31.359
<v Speaker 2>Marta.

0:18:31.400 --> 0:18:33.640
<v Speaker 3>It's funny for me, but it's been a week where

0:18:33.720 --> 0:18:38.480
<v Speaker 3>economic data has impacted technology markets, right, PPI and I

0:18:38.520 --> 0:18:40.359
<v Speaker 3>grew up in the Bloomberg school of why do we

0:18:40.359 --> 0:18:43.600
<v Speaker 3>care about the FED? Because higher rates discount the present

0:18:43.680 --> 0:18:46.199
<v Speaker 3>value of future cash flows. And I just wondered if

0:18:46.240 --> 0:18:49.679
<v Speaker 3>you'd react to that statement, please well listen.

0:18:49.760 --> 0:18:51.880
<v Speaker 14>I mean, I do think when we think.

0:18:51.640 --> 0:18:55.240
<v Speaker 13>About economic data and we think about technology, there are

0:18:55.280 --> 0:18:58.520
<v Speaker 13>these secular growth themes that can really push back against

0:18:58.600 --> 0:19:03.000
<v Speaker 13>any headwind that economic data poses for technology, And of

0:19:03.040 --> 0:19:05.000
<v Speaker 13>course there are other areas of the market that are

0:19:05.000 --> 0:19:05.720
<v Speaker 13>more sensitive.

0:19:05.960 --> 0:19:07.800
<v Speaker 14>When I think about the economic.

0:19:07.320 --> 0:19:10.920
<v Speaker 13>Data that we're seeing come through, all that comes out

0:19:10.960 --> 0:19:13.280
<v Speaker 13>is this idea of mixed signals, and people can kind

0:19:13.280 --> 0:19:15.480
<v Speaker 13>of project whatever view they want on the market and

0:19:15.520 --> 0:19:18.720
<v Speaker 13>find or on the economy and find evidence to support

0:19:18.720 --> 0:19:22.359
<v Speaker 13>that view. I think at this point what matters more

0:19:22.480 --> 0:19:25.360
<v Speaker 13>are the secular themes rather than some of these economic

0:19:25.440 --> 0:19:27.080
<v Speaker 13>data points that are trickling in.

0:19:27.440 --> 0:19:29.960
<v Speaker 4>Briefly matter It's also been a week of record hizing

0:19:30.000 --> 0:19:31.240
<v Speaker 4>crypto IPOs.

0:19:31.880 --> 0:19:33.640
<v Speaker 7>How many questions you get on that?

0:19:34.680 --> 0:19:36.360
<v Speaker 14>Well, it does come up more and more.

0:19:36.400 --> 0:19:38.240
<v Speaker 13>I think one of the things that people are looking

0:19:38.240 --> 0:19:40.240
<v Speaker 13>at when they see the record highs in crypto, or

0:19:40.240 --> 0:19:43.080
<v Speaker 13>when they're looking at IPOs, or in fact the kind

0:19:43.080 --> 0:19:45.560
<v Speaker 13>of resurgence of the mean theme is what does this

0:19:45.680 --> 0:19:48.040
<v Speaker 13>mean in terms of the speculative froth in the market.

0:19:48.240 --> 0:19:50.199
<v Speaker 13>I don't think we're at all time peaks there, but

0:19:50.280 --> 0:19:53.560
<v Speaker 13>there is this measure of complacency that's been baked in,

0:19:53.600 --> 0:19:55.720
<v Speaker 13>this kind of sense that nothing can go wrong, and

0:19:55.760 --> 0:19:58.480
<v Speaker 13>of course that's reflected in valuations. So I do think

0:19:58.520 --> 0:20:00.639
<v Speaker 13>when we're looking at those kind of signals, it's important

0:20:00.680 --> 0:20:03.720
<v Speaker 13>to remember that things are a bit priced for perfection

0:20:03.800 --> 0:20:06.160
<v Speaker 13>and we could see some volatility in the nearest term.

0:20:06.320 --> 0:20:09.600
<v Speaker 4>Martin Norton, we so appreciate having you on today of Empower.

0:20:09.720 --> 0:20:11.479
<v Speaker 7>Have great weekend.

0:20:16.600 --> 0:20:19.160
<v Speaker 4>It's time now for talking tech and first up, Masuyoshi's

0:20:19.160 --> 0:20:22.560
<v Speaker 4>son has added eleven billion to his fortune in just

0:20:22.600 --> 0:20:24.920
<v Speaker 4>the first two weeks of August. That is, his AI

0:20:25.000 --> 0:20:27.439
<v Speaker 4>bets over at SoftBank sent shares to record highs.

0:20:27.520 --> 0:20:29.919
<v Speaker 7>Look Sum's net worth naws dance more.

0:20:29.800 --> 0:20:32.240
<v Speaker 4>Than thirty three billion dollars, making him the second richest

0:20:32.240 --> 0:20:35.600
<v Speaker 4>man in Japan, according to the Bloomberg Billionaires Index plus

0:20:35.600 --> 0:20:38.439
<v Speaker 4>Bill Ackman's Pershing Square Capital. Well, it's revealed that it

0:20:38.480 --> 0:20:41.040
<v Speaker 4>a mastered in nearly one point three billion dollar steak

0:20:41.040 --> 0:20:44.600
<v Speaker 4>in Amazon. The firm initially disclosed it had built a

0:20:44.720 --> 0:20:47.200
<v Speaker 4>stake during an analyst school in May. That's after the

0:20:47.240 --> 0:20:50.320
<v Speaker 4>stock tumbled more than thirty percent over AI and tariff concerns.

0:20:50.400 --> 0:20:53.600
<v Speaker 4>Look regulatory filing on Thursday show that Pershing had accumulated

0:20:53.640 --> 0:20:54.640
<v Speaker 4>more than five point eight.

0:20:54.480 --> 0:20:55.760
<v Speaker 7>Million Amazon shares.

0:20:56.920 --> 0:21:00.159
<v Speaker 4>And Jackie Bezos, mother of Jeff Bezos, has died at

0:21:00.160 --> 0:21:02.679
<v Speaker 4>the age of seventy eight. According to the Bezos Family

0:21:02.680 --> 0:21:05.640
<v Speaker 4>Foundation website, she passed away at a home in Miami

0:21:05.840 --> 0:21:09.720
<v Speaker 4>after a long battle with louis body dementia. Jackie Bezos

0:21:09.760 --> 0:21:11.840
<v Speaker 4>was an advocate for early childhood education.

0:21:12.000 --> 0:21:13.080
<v Speaker 7>Alongside her husband.

0:21:13.240 --> 0:21:15.360
<v Speaker 4>She was in fact the first to invest in Amazon

0:21:15.600 --> 0:21:16.640
<v Speaker 4>in nineteen ninety five.

0:21:16.800 --> 0:21:16.840
<v Speaker 9>ED.

0:21:23.800 --> 0:21:25.679
<v Speaker 2>Welcome back to Bloomberg Tech. I want to go back

0:21:25.720 --> 0:21:26.240
<v Speaker 2>to Intel.

0:21:26.400 --> 0:21:29.440
<v Speaker 3>The reporting is that the US government's thinking about using

0:21:29.560 --> 0:21:33.560
<v Speaker 3>chipsec funds to take a stake in Intel. Caroline, believe

0:21:33.600 --> 0:21:35.879
<v Speaker 3>it or not. On the course of the week, this

0:21:35.920 --> 0:21:39.320
<v Speaker 3>stocks up almost twenty five percent. If it continues to

0:21:39.400 --> 0:21:42.600
<v Speaker 3>chop around and climb just a percentage point higher. It

0:21:42.640 --> 0:21:45.680
<v Speaker 3>will have its best five day gain, its best weekly

0:21:45.760 --> 0:21:50.280
<v Speaker 3>gain on record ever, just seven days after the President

0:21:50.640 --> 0:21:53.520
<v Speaker 3>said that its CEO should resign after ties with China.

0:21:53.680 --> 0:21:55.360
<v Speaker 3>Later in the program, we're going to do so much

0:21:55.400 --> 0:21:57.439
<v Speaker 3>more on Intel. But when you go into the data

0:21:57.480 --> 0:22:00.920
<v Speaker 3>in the Bloomberg terminal, you can always surprise your because

0:22:01.200 --> 0:22:02.840
<v Speaker 3>in Agrica over the course of the week, what an

0:22:02.880 --> 0:22:04.159
<v Speaker 3>astonishing stat that is.

0:22:05.400 --> 0:22:08.639
<v Speaker 4>It is quite the stat six straight days against for Intel.

0:22:08.960 --> 0:22:11.679
<v Speaker 4>What a winning performance twenty five percent that you can

0:22:11.720 --> 0:22:12.080
<v Speaker 4>see it in.

0:22:12.080 --> 0:22:12.840
<v Speaker 7>All its glory.

0:22:13.440 --> 0:22:16.800
<v Speaker 4>Let's get into the world of generative AI now, though,

0:22:16.800 --> 0:22:20.600
<v Speaker 4>because we are joined by Brett Taylor ed whose extensive

0:22:20.640 --> 0:22:24.240
<v Speaker 4>Silicon Valley resume, who's Google metas Salesforce open Ai. His

0:22:24.359 --> 0:22:28.439
<v Speaker 4>startups Erra AI helps companies build agentic customer service tools.

0:22:28.720 --> 0:22:31.800
<v Speaker 4>You work with the likes of ram with clear among others. Brett,

0:22:32.240 --> 0:22:35.800
<v Speaker 4>and boy, is it competitive out there at the moment.

0:22:35.920 --> 0:22:40.960
<v Speaker 4>How are you seeing your customer facing GENDERAI products being taken.

0:22:40.720 --> 0:22:41.280
<v Speaker 7>Up right now?

0:22:42.440 --> 0:22:44.399
<v Speaker 5>Yeah, I've never quite been in a market like this,

0:22:44.480 --> 0:22:46.320
<v Speaker 5>and as you said, I've been in the Silicon Valley

0:22:46.320 --> 0:22:49.159
<v Speaker 5>for a long time. I've started three companies, one in

0:22:49.200 --> 0:22:51.919
<v Speaker 5>sort of the early days of the internet, you know,

0:22:52.080 --> 0:22:55.640
<v Speaker 5>one call it about you know, a decade ago, and

0:22:56.000 --> 0:22:58.960
<v Speaker 5>we have never seen this kind of customer interest. I've

0:22:58.960 --> 0:23:02.760
<v Speaker 5>never seen this kind of of revenue growth and customer momentum.

0:23:02.760 --> 0:23:05.199
<v Speaker 5>But as you said, a lot of competition too, you know.

0:23:05.200 --> 0:23:07.560
<v Speaker 5>I think if you look at what is the impact

0:23:07.600 --> 0:23:10.400
<v Speaker 5>of AI and society, there's probably two areas being impacted

0:23:10.440 --> 0:23:13.840
<v Speaker 5>most right now, software engineering and customer service. We're in

0:23:13.840 --> 0:23:16.200
<v Speaker 5>that latter category. We have the privilege to be the

0:23:16.280 --> 0:23:19.480
<v Speaker 5>leader survey it. As you said, traditional companies like ADT,

0:23:19.600 --> 0:23:23.280
<v Speaker 5>Home Security and direct TV, and the fastest growing companies

0:23:23.280 --> 0:23:25.159
<v Speaker 5>in Silicon Valley like Ramp. And it is such a

0:23:25.160 --> 0:23:26.840
<v Speaker 5>privilege and so much fun to be in the middle

0:23:26.880 --> 0:23:27.520
<v Speaker 5>of this right now.

0:23:28.119 --> 0:23:30.560
<v Speaker 4>I'm not sure the competitors, particularly the older god of

0:23:30.600 --> 0:23:33.440
<v Speaker 4>SaaS some that you helped work with, like Salesforce, love

0:23:33.480 --> 0:23:35.800
<v Speaker 4>the enthusiasm way that you're shaking things up in terms

0:23:35.800 --> 0:23:39.000
<v Speaker 4>of pricing though, I mean outcome based pricing models.

0:23:39.080 --> 0:23:41.280
<v Speaker 7>How are you seeing that really.

0:23:41.040 --> 0:23:43.520
<v Speaker 4>Change the cadence of which others.

0:23:43.240 --> 0:23:44.719
<v Speaker 7>Can sell and how they're selling.

0:23:45.840 --> 0:23:47.679
<v Speaker 5>It's such a great question if you look at the

0:23:47.720 --> 0:23:52.320
<v Speaker 5>history of software. These technical shifts have also given rise

0:23:52.400 --> 0:23:55.879
<v Speaker 5>to changes in business models, so kind of famously, you know,

0:23:56.200 --> 0:23:59.440
<v Speaker 5>when Mark and Parker started Salesforce, the world went from

0:23:59.520 --> 0:24:02.679
<v Speaker 5>buying a petrol license to software, to software as a

0:24:02.720 --> 0:24:05.920
<v Speaker 5>service and subscribing to it. Now, our view is at Sierra,

0:24:06.119 --> 0:24:08.919
<v Speaker 5>these agents aren't just helping you be more productive, but

0:24:09.000 --> 0:24:12.240
<v Speaker 5>actually solving problems for you. And the best business model

0:24:12.320 --> 0:24:14.320
<v Speaker 5>is to actually pay for a job well done. So

0:24:14.680 --> 0:24:17.560
<v Speaker 5>at Sierra, we only charge our customers when it solves

0:24:17.560 --> 0:24:20.160
<v Speaker 5>the problem autonomously for that customer.

0:24:20.320 --> 0:24:22.080
<v Speaker 11>We call it outcomes based pricing.

0:24:22.400 --> 0:24:24.399
<v Speaker 5>And we think it's going to really disrupt the software

0:24:24.400 --> 0:24:26.600
<v Speaker 5>industry because if you think about it as a business,

0:24:27.040 --> 0:24:29.879
<v Speaker 5>what a great alignment of values with your partners. You

0:24:29.960 --> 0:24:32.760
<v Speaker 5>only pay us when we actually save you money and

0:24:32.840 --> 0:24:35.760
<v Speaker 5>solve the customer's problem delightfully. And I think it really

0:24:35.800 --> 0:24:38.840
<v Speaker 5>aligns the software industry with all of our partners, and

0:24:38.840 --> 0:24:40.760
<v Speaker 5>I think it's a really positive trend for the industry

0:24:41.240 --> 0:24:41.760
<v Speaker 5>as a whole.

0:24:43.119 --> 0:24:46.240
<v Speaker 3>Right, you founded Sierra with Clay in twenty twenty three, Right,

0:24:46.280 --> 0:24:47.919
<v Speaker 3>and I think back to when you came on the

0:24:47.960 --> 0:24:51.280
<v Speaker 3>show in February twenty twenty four, it had grown so

0:24:51.440 --> 0:24:55.639
<v Speaker 3>quickly the company update us on what Sierra looks like today.

0:24:56.960 --> 0:24:59.960
<v Speaker 5>Well, we have customers across a wide range of industries,

0:25:00.040 --> 0:25:03.080
<v Speaker 5>from some of the largest health insurance companies to banks

0:25:03.359 --> 0:25:06.119
<v Speaker 5>to some of the fastest growing companies in Silicon Valley,

0:25:06.240 --> 0:25:09.000
<v Speaker 5>like Ramp, which is we're also a proud customer of

0:25:09.080 --> 0:25:12.240
<v Speaker 5>They power all of our corporate credit cards. What's remarkable

0:25:12.400 --> 0:25:15.399
<v Speaker 5>is just the size of customers that have aligned with us.

0:25:15.480 --> 0:25:18.040
<v Speaker 5>So over twenty percent of our customers have over ten

0:25:18.080 --> 0:25:20.919
<v Speaker 5>billion in revenue, over half have over a billion in revenue.

0:25:20.960 --> 0:25:23.520
<v Speaker 5>These aren't just early adopters, right, These are some of

0:25:23.520 --> 0:25:27.159
<v Speaker 5>the most traditional financial services firms, healthcare firms that are

0:25:27.200 --> 0:25:29.520
<v Speaker 5>really saying, Hey, I don't want my customers to.

0:25:29.560 --> 0:25:31.800
<v Speaker 11>Have to wait on hold or press two for service.

0:25:32.200 --> 0:25:35.920
<v Speaker 5>Can we have a multi lingual, delightful AI agent just

0:25:36.000 --> 0:25:39.040
<v Speaker 5>pick up the phone and solve problems automatically. And what's

0:25:39.040 --> 0:25:41.600
<v Speaker 5>remarkable is just how well it works. You know, you

0:25:42.080 --> 0:25:44.640
<v Speaker 5>brought up RAMP at the beginning of the call. Their

0:25:44.720 --> 0:25:48.960
<v Speaker 5>AI agent is actually solving ninety percent of customer cases

0:25:49.000 --> 0:25:52.440
<v Speaker 5>completely autonomously. And you know that's obviously great for Ramp

0:25:52.480 --> 0:25:54.520
<v Speaker 5>as a business, but for me as a customer of Ramp.

0:25:54.520 --> 0:25:56.480
<v Speaker 5>It means I don't have to wait on hold ninety

0:25:56.480 --> 0:25:59.840
<v Speaker 5>percent of the time. It's completely transforming the industry and

0:26:00.080 --> 0:26:02.600
<v Speaker 5>it is so fun to be able to help brands

0:26:02.600 --> 0:26:05.160
<v Speaker 5>really in every industry transform their customer experience.

0:26:06.680 --> 0:26:09.800
<v Speaker 3>Brett, I'd still like to learn more about Sierra. So

0:26:09.840 --> 0:26:12.639
<v Speaker 3>you talked about you haven't seen growth like this in

0:26:12.760 --> 0:26:16.240
<v Speaker 3>your career. Would you share with us an arr figure,

0:26:16.800 --> 0:26:20.199
<v Speaker 3>what Sierra's financials look like, number of team members, how

0:26:20.240 --> 0:26:21.320
<v Speaker 3>aggressively you're hiring.

0:26:22.840 --> 0:26:25.040
<v Speaker 5>I won't share a rr numbers, sorry, but maybe when

0:26:25.080 --> 0:26:26.720
<v Speaker 5>we do, I'll come back on this show and you

0:26:26.760 --> 0:26:29.240
<v Speaker 5>can hear it first. But I'll tell you we have

0:26:29.320 --> 0:26:33.080
<v Speaker 5>hundreds of employees. We've opened offices in New York, Atlanta, London.

0:26:33.440 --> 0:26:36.600
<v Speaker 5>We're planning our expansion into Asia. We're the leader in

0:26:36.600 --> 0:26:39.080
<v Speaker 5>this space. We'll do hundreds of millions of phone calls

0:26:39.119 --> 0:26:42.359
<v Speaker 5>on our platform this year, hundreds of millions of digital chats.

0:26:42.880 --> 0:26:46.320
<v Speaker 5>We're the highest volume company in this space, and really

0:26:46.359 --> 0:26:48.679
<v Speaker 5>that scale benefits all of our customers. It means we

0:26:48.720 --> 0:26:52.359
<v Speaker 5>support more languages, it means that we've dealt with some

0:26:52.400 --> 0:26:56.320
<v Speaker 5>of the most complex regulatory landscapes from hip A compliance

0:26:56.400 --> 0:27:00.840
<v Speaker 5>to the compliance regimes that apply to the financial industry.

0:27:01.240 --> 0:27:04.160
<v Speaker 5>We're really trying to be the best and safest bet

0:27:04.200 --> 0:27:06.280
<v Speaker 5>for every company in the world who wants to transform

0:27:06.320 --> 0:27:07.760
<v Speaker 5>their customer experience who they are.

0:27:08.400 --> 0:27:11.280
<v Speaker 4>And to do that, you're scaling, and I'm sure there's

0:27:11.320 --> 0:27:13.439
<v Speaker 4>a little bit of a fierce fight out there for

0:27:13.560 --> 0:27:16.359
<v Speaker 4>talent and that costs money before get into the talent

0:27:16.480 --> 0:27:18.720
<v Speaker 4>wars a little bit, Brett, what about having to raise

0:27:18.720 --> 0:27:20.800
<v Speaker 4>more money because you did back in twenty twenty four.

0:27:20.880 --> 0:27:22.480
<v Speaker 7>Do you need any more? We've got a good runway.

0:27:23.600 --> 0:27:25.440
<v Speaker 5>We have a good runway. But it's a great question,

0:27:25.640 --> 0:27:29.880
<v Speaker 5>just because I do think that we really want to

0:27:29.920 --> 0:27:32.880
<v Speaker 5>grow as quickly as possible. There's this great I attribute

0:27:32.920 --> 0:27:36.600
<v Speaker 5>to Albert Einstein. As quickly as possible, but no more quickly.

0:27:37.320 --> 0:27:40.320
<v Speaker 5>And you know right now our businesses work in I've

0:27:40.359 --> 0:27:43.119
<v Speaker 5>never seen product market that quite like this. And we're

0:27:43.160 --> 0:27:46.320
<v Speaker 5>always asking ourselves the question as a management team, how

0:27:46.359 --> 0:27:49.400
<v Speaker 5>fast can we grow? Because if you look around the world,

0:27:49.600 --> 0:27:52.920
<v Speaker 5>the application of technology is not limited to one industry,

0:27:53.040 --> 0:27:55.840
<v Speaker 5>is not limited to one country. How can we best

0:27:55.840 --> 0:27:59.159
<v Speaker 5>serve not just multinationals based here, but in Europe and

0:27:59.200 --> 0:28:02.080
<v Speaker 5>Asia as well? And so if raising more money will

0:28:02.160 --> 0:28:06.000
<v Speaker 5>enable us to achieve that end, we're absolutely open to it. Thankfully,

0:28:06.040 --> 0:28:07.959
<v Speaker 5>we have a really healthy business model and it's not

0:28:08.000 --> 0:28:10.160
<v Speaker 5>something we need to do, but absolutely something we're allays

0:28:10.240 --> 0:28:11.720
<v Speaker 5>open to considering because.

0:28:11.480 --> 0:28:13.400
<v Speaker 4>In many ways, Look, you raised one hundred and seventy

0:28:13.400 --> 0:28:16.159
<v Speaker 4>five million last year led by Green Oaks Capital.

0:28:16.680 --> 0:28:18.760
<v Speaker 7>I'm thinking like two hundred million.

0:28:18.520 --> 0:28:21.119
<v Speaker 4>Dollars is now what Meta is willing to pay to

0:28:21.160 --> 0:28:23.720
<v Speaker 4>get one person. In terms of talent, Brett, Yeah, we

0:28:23.760 --> 0:28:27.439
<v Speaker 4>all chose the wrong profector here. You didn't, but Brett,

0:28:27.440 --> 0:28:29.680
<v Speaker 4>I mean, I'm no coder, but Brett, tell us a

0:28:29.720 --> 0:28:32.359
<v Speaker 4>little bit about trying to get that sort off the

0:28:32.400 --> 0:28:33.479
<v Speaker 4>talent do you need it?

0:28:33.520 --> 0:28:34.640
<v Speaker 7>And how face is it?

0:28:35.920 --> 0:28:38.280
<v Speaker 5>Well, first, you know, I do think there's a slight

0:28:38.320 --> 0:28:43.400
<v Speaker 5>difference between the really small handful of researchers building these

0:28:43.440 --> 0:28:46.280
<v Speaker 5>foundation models at the research labs and you know, Sierra,

0:28:46.360 --> 0:28:48.480
<v Speaker 5>we're an apply to I company, So you can think

0:28:48.520 --> 0:28:51.800
<v Speaker 5>of us not necessarily as the folks doing the R

0:28:51.920 --> 0:28:55.160
<v Speaker 5>and D to build these frontier models like Open Eye

0:28:55.280 --> 0:28:58.480
<v Speaker 5>GPT five, but really taking all of those models and

0:28:58.520 --> 0:29:01.760
<v Speaker 5>fine tuning them and applying them to a solution in

0:29:01.760 --> 0:29:03.840
<v Speaker 5>the marketplace, so you can really think of the market.

0:29:03.880 --> 0:29:06.760
<v Speaker 5>I think of it really in three areas. The companies

0:29:06.760 --> 0:29:10.120
<v Speaker 5>building these frontier models, open the eyes models are obviously

0:29:10.160 --> 0:29:13.200
<v Speaker 5>the leading and frontier models in the space. You have

0:29:13.280 --> 0:29:16.000
<v Speaker 5>companies building tools, So what are the tools you need

0:29:16.520 --> 0:29:18.880
<v Speaker 5>if you're applying AI in your business. These are companies

0:29:18.880 --> 0:29:22.840
<v Speaker 5>that can do data labeling and data transformation and data storage.

0:29:22.960 --> 0:29:26.040
<v Speaker 5>And then you have companies like Ours and Cursor and

0:29:26.160 --> 0:29:29.800
<v Speaker 5>Harvey that are taking all of that great technology and

0:29:29.840 --> 0:29:32.040
<v Speaker 5>making a push button solution so you can just solve

0:29:32.080 --> 0:29:34.920
<v Speaker 5>a problem without a lot of implementation time. We just

0:29:34.960 --> 0:29:38.560
<v Speaker 5>went live with an international retailer in fifteen markets in

0:29:38.720 --> 0:29:41.719
<v Speaker 5>six weeks and are solving eighty five percent of their

0:29:41.720 --> 0:29:45.239
<v Speaker 5>customer service cases automatically. That's what really an apply DA

0:29:45.360 --> 0:29:48.360
<v Speaker 5>company does is makes it easy to consume, easy to deploy.

0:29:48.680 --> 0:29:50.880
<v Speaker 5>So thankfully we're not competing in the market for some

0:29:50.960 --> 0:29:55.480
<v Speaker 5>of those I think widely publicized researchers. But as you said,

0:29:55.480 --> 0:29:58.719
<v Speaker 5>it's a competitive market, a competitive market for talent, as

0:29:58.720 --> 0:29:59.720
<v Speaker 5>it always is in the Valley.

0:30:00.920 --> 0:30:03.400
<v Speaker 3>You know, Brett, Over the years, I got told a

0:30:03.400 --> 0:30:05.840
<v Speaker 3>lot of stories about you in meetings, like in the

0:30:05.840 --> 0:30:08.840
<v Speaker 3>Salesforce context. And you know, basically people say you're pretty

0:30:08.840 --> 0:30:12.320
<v Speaker 3>frighteningly effective when you talk to customers, but you're also

0:30:12.720 --> 0:30:15.120
<v Speaker 3>you know, you're a busy guy. You have a very

0:30:15.200 --> 0:30:19.080
<v Speaker 3>unusual jewel roll right as chairman of open Ai and

0:30:19.160 --> 0:30:22.440
<v Speaker 3>chairman of its board. That's an unusual gig. How do

0:30:22.480 --> 0:30:23.440
<v Speaker 3>you split the time?

0:30:25.480 --> 0:30:27.600
<v Speaker 5>You know, I love to work, is the short answer.

0:30:27.920 --> 0:30:29.920
<v Speaker 5>So I work from the moment I get up to

0:30:30.200 --> 0:30:32.080
<v Speaker 5>the moment I go to sleep, and I love every

0:30:32.080 --> 0:30:35.760
<v Speaker 5>minute of it. And you know, some weeks I'll spend

0:30:35.760 --> 0:30:37.560
<v Speaker 5>more time at some two weeks last. It's really what

0:30:37.640 --> 0:30:41.480
<v Speaker 5>the organization demands. And you know, it is a lot

0:30:41.520 --> 0:30:44.280
<v Speaker 5>of work, but it is such a privilege just because well,

0:30:44.280 --> 0:30:46.760
<v Speaker 5>I'm very excited about what Siro is doing. To be

0:30:46.800 --> 0:30:49.480
<v Speaker 5>able to spend time with I think the greatest research

0:30:49.600 --> 0:30:52.160
<v Speaker 5>lab in the world developing, I think the most important

0:30:52.160 --> 0:30:55.040
<v Speaker 5>consumer product in the world in chat GPT is such

0:30:55.040 --> 0:30:58.240
<v Speaker 5>a privilege and it makes me a better leader. I

0:30:58.280 --> 0:31:01.360
<v Speaker 5>understand AI with more depth than ones. And then similarly,

0:31:01.360 --> 0:31:04.520
<v Speaker 5>hopefully my experience having scaled a lot of companies in

0:31:04.560 --> 0:31:07.680
<v Speaker 5>the past is helping Open Eye, is it? I think

0:31:07.760 --> 0:31:10.240
<v Speaker 5>it's scaling and faster than really any company in history,

0:31:10.280 --> 0:31:12.880
<v Speaker 5>and so it's so fun. I wouldn't have it any

0:31:12.920 --> 0:31:16.760
<v Speaker 5>other way. Sleep is for the week, right.

0:31:17.080 --> 0:31:18.840
<v Speaker 3>The big question our audience has for you in the

0:31:18.840 --> 0:31:21.239
<v Speaker 3>open AYE context is how much you're working on this

0:31:21.280 --> 0:31:24.800
<v Speaker 3>relationship with Microsoft and how much you personally have focused

0:31:24.840 --> 0:31:27.720
<v Speaker 3>on the restructuring or the move to a new or

0:31:27.760 --> 0:31:29.040
<v Speaker 3>different corporate structure.

0:31:30.240 --> 0:31:33.840
<v Speaker 5>Well, Microsoft is open Ey's most important partner and has

0:31:33.880 --> 0:31:37.880
<v Speaker 5>been for years, so it's a very important relationship. The

0:31:37.920 --> 0:31:41.479
<v Speaker 5>board's role is really specific. Open Eyes a not for profit.

0:31:41.640 --> 0:31:45.240
<v Speaker 5>Our fiduciary duties on the board are really related exclusively

0:31:45.280 --> 0:31:47.760
<v Speaker 5>to our mission, which is to ensure that our official

0:31:47.800 --> 0:31:52.200
<v Speaker 5>general intelligent intelligence benefits humanity. And so we're always thinking

0:31:52.760 --> 0:31:55.000
<v Speaker 5>how do we set up the organization over the long

0:31:55.080 --> 0:31:57.960
<v Speaker 5>term to ensure that we can achieve that goal. And

0:31:58.080 --> 0:31:59.480
<v Speaker 5>you know, one of the things that we've talked a

0:31:59.480 --> 0:32:02.400
<v Speaker 5>lot about is, you know, since the company was founded

0:32:02.440 --> 0:32:06.040
<v Speaker 5>as a small research lab, the level of capital expenditure

0:32:06.080 --> 0:32:09.800
<v Speaker 5>required for the infrastructure for AI, I think exceeds anyone's

0:32:09.920 --> 0:32:13.479
<v Speaker 5>expectations that they had a year ago, let alone ten

0:32:13.560 --> 0:32:16.240
<v Speaker 5>years ago, and so really thinking about how do we

0:32:16.320 --> 0:32:18.560
<v Speaker 5>ensure that we remain a mission driven not for profit,

0:32:18.680 --> 0:32:21.320
<v Speaker 5>but also set up our organization so we can raise

0:32:21.360 --> 0:32:24.560
<v Speaker 5>the capital we need to achieve that mission. So that's

0:32:24.600 --> 0:32:27.000
<v Speaker 5>what I think the media is appropriately called the restructuring.

0:32:27.040 --> 0:32:29.280
<v Speaker 5>It is something that we're working on. Nothing to announce

0:32:29.320 --> 0:32:30.360
<v Speaker 5>it this time, but I think it's one of the

0:32:30.400 --> 0:32:32.680
<v Speaker 5>most important things we work on as a board, because

0:32:33.200 --> 0:32:35.560
<v Speaker 5>your job as a board is to set the company

0:32:35.640 --> 0:32:37.200
<v Speaker 5>up for the future, and that's really how we think

0:32:37.200 --> 0:32:37.520
<v Speaker 5>about it.

0:32:37.640 --> 0:32:39.160
<v Speaker 7>Do you think you'll get it done by the end

0:32:39.200 --> 0:32:39.840
<v Speaker 7>of this year, Brett?

0:32:41.920 --> 0:32:44.600
<v Speaker 5>I can't really comment on timelines, and you know, we're

0:32:44.600 --> 0:32:48.360
<v Speaker 5>really just trying to work with all the stakeholders who

0:32:48.360 --> 0:32:50.520
<v Speaker 5>have an interest in it and most importantly focused on

0:32:50.560 --> 0:32:52.960
<v Speaker 5>the mission. But no update on the time frame.

0:32:54.120 --> 0:32:57.360
<v Speaker 3>Redeye a CEO of Sierra and chairman of the board

0:32:57.360 --> 0:32:59.280
<v Speaker 3>for Open AI. Thank you very much for your time.

0:33:00.520 --> 0:33:02.520
<v Speaker 3>This is Bloomberg Tech and you're looking at a live

0:33:02.560 --> 0:33:05.840
<v Speaker 3>shot of the principal room. Check out the Bloomberg Tech podcast.

0:33:05.920 --> 0:33:08.080
<v Speaker 3>You can find it on the terminal so its online

0:33:08.120 --> 0:33:20.840
<v Speaker 3>on Apple, Spotify and on iHeart. This is Bloomberg. Okay,

0:33:21.040 --> 0:33:23.400
<v Speaker 3>all eyes are meta real quick. In the session, it's

0:33:23.400 --> 0:33:26.960
<v Speaker 3>made attempts to hit all time highs and at one

0:33:26.960 --> 0:33:30.400
<v Speaker 3>point go beyond two trillion dollars of market cap for

0:33:30.480 --> 0:33:32.280
<v Speaker 3>the first time. Where will we close We don't know,

0:33:32.360 --> 0:33:34.280
<v Speaker 3>but it's exciting and it's one to watch. And we're

0:33:34.320 --> 0:33:36.960
<v Speaker 3>also thinking a lot about Meta's AI app, which is

0:33:37.000 --> 0:33:41.720
<v Speaker 3>facing mounting pressure with users complaining of an underpersonalized and

0:33:41.920 --> 0:33:46.080
<v Speaker 3>inconsistent experience. The tech giant emitting this is quote just

0:33:46.120 --> 0:33:48.800
<v Speaker 3>the first and many steps, as the company will continue

0:33:48.880 --> 0:33:52.560
<v Speaker 3>to make updates over time. Joining us now is Bloomberg's

0:33:52.680 --> 0:33:55.800
<v Speaker 3>Natalie Lung. This is the post launch digest, tell us.

0:33:55.680 --> 0:33:56.280
<v Speaker 2>What we need to know.

0:33:57.040 --> 0:33:59.200
<v Speaker 15>Yeah, we have tested it for a few weeks and

0:33:59.400 --> 0:34:04.680
<v Speaker 15>asking it basic inquiries, asking it for personalized recommendations, and

0:34:04.720 --> 0:34:08.520
<v Speaker 15>overall we found the experience rather inconsistent and it felt

0:34:08.520 --> 0:34:11.759
<v Speaker 15>a little bit half baked. For example, I asked it

0:34:11.800 --> 0:34:14.200
<v Speaker 15>to give me recommendations and what to do over the

0:34:14.200 --> 0:34:17.120
<v Speaker 15>weekend here in New York City. For some reason, it

0:34:17.200 --> 0:34:19.239
<v Speaker 15>knew min zip code. I might have provided it to

0:34:19.239 --> 0:34:22.120
<v Speaker 15>an advertiser one time, but it wasn't able to personalize

0:34:22.160 --> 0:34:26.759
<v Speaker 15>it to that area. And the unique thing about it,

0:34:26.840 --> 0:34:30.359
<v Speaker 15>apart from Rivals, is that it has a discover feed

0:34:30.600 --> 0:34:33.680
<v Speaker 15>where you can see how others are prompting and interacting

0:34:33.680 --> 0:34:36.880
<v Speaker 15>with the chatbot, and they're like endless images.

0:34:36.920 --> 0:34:38.239
<v Speaker 5>There, you can see.

0:34:38.400 --> 0:34:40.960
<v Speaker 4>Endless images that perhaps aren't that relevant to you, and

0:34:41.040 --> 0:34:44.719
<v Speaker 4>sometimes the more edgy types of chatbots you might not

0:34:44.760 --> 0:34:47.759
<v Speaker 4>want to interface with, Natalie, what's so weird as well?

0:34:47.880 --> 0:34:51.239
<v Speaker 4>Is I interact with METAAI actually more within the WhatsApp

0:34:51.800 --> 0:34:55.880
<v Speaker 4>offering and maybe within the Instagram offering? Why is that

0:34:56.080 --> 0:34:58.880
<v Speaker 4>not taking my data that I'm feeding it and bringing

0:34:58.880 --> 0:35:01.080
<v Speaker 4>it over to Meta right now?

0:35:01.160 --> 0:35:03.879
<v Speaker 15>All of those experiences are not connected, as you rightly

0:35:03.880 --> 0:35:07.080
<v Speaker 15>pointed out. It is on WhatsApp, it is on Messenger,

0:35:07.120 --> 0:35:10.359
<v Speaker 15>it is on Instagram, but they're not connected, which makes

0:35:10.400 --> 0:35:15.719
<v Speaker 15>it a little bit foreshot of some of the personalization

0:35:15.920 --> 0:35:17.719
<v Speaker 15>ambitions that Zuckerberg has.

0:35:18.280 --> 0:35:21.600
<v Speaker 7>Almost Natalie Lang a real deep dive. Go read the analysis.

0:35:27.320 --> 0:35:29.440
<v Speaker 4>Getting back to our top story, the White House is

0:35:29.480 --> 0:35:32.120
<v Speaker 4>set to consider using chips At funding to take a

0:35:32.200 --> 0:35:35.480
<v Speaker 4>stake in Intel, scording to sources from more Bloombergs. Ryan

0:35:35.480 --> 0:35:37.719
<v Speaker 4>Gould is here who helped break this story. It's been

0:35:37.880 --> 0:35:40.239
<v Speaker 4>very busy twenty four hours. Do we have any idea

0:35:40.280 --> 0:35:41.759
<v Speaker 4>how much equity they could take for this?

0:35:42.040 --> 0:35:42.840
<v Speaker 2>Not yet, Caroline.

0:35:42.840 --> 0:35:45.440
<v Speaker 16>We're still trying to find out exactly how much the

0:35:45.440 --> 0:35:47.600
<v Speaker 16>government is talking. I mean, just on the base of it.

0:35:47.600 --> 0:35:49.600
<v Speaker 16>If you think about the problems that are facing Intel

0:35:49.680 --> 0:35:53.560
<v Speaker 16>right now, you're probably looking to solve something as big

0:35:53.600 --> 0:35:56.360
<v Speaker 16>as Ohio to onshore manufacturing in the US. You're talking

0:35:56.400 --> 0:35:58.920
<v Speaker 16>tens of billions of dollars that the company needs. Now,

0:35:58.920 --> 0:36:00.320
<v Speaker 16>I'm not going to suggest that they got it is

0:36:00.320 --> 0:36:01.600
<v Speaker 16>going to go out and put that money in. We

0:36:01.640 --> 0:36:04.279
<v Speaker 16>don't know, and the government has not obviously commented on

0:36:04.320 --> 0:36:07.800
<v Speaker 16>this reporting yet, but I would say that you know

0:36:07.920 --> 0:36:10.839
<v Speaker 16>that the challenges facing Intel are vast, and I think

0:36:10.920 --> 0:36:14.120
<v Speaker 16>most investors and alis know that. I think, just at

0:36:14.120 --> 0:36:16.080
<v Speaker 16>the top of this, though, it's worth taking a step

0:36:16.120 --> 0:36:18.440
<v Speaker 16>back and thinking about what a difference a week makes.

0:36:18.640 --> 0:36:21.280
<v Speaker 16>If you think about Donald Trump calling for the resignation

0:36:21.320 --> 0:36:24.839
<v Speaker 16>of Liputen, the CEO, last Thursday, last Friday, I mean

0:36:24.920 --> 0:36:27.040
<v Speaker 16>a week later, we're now on the cusp of maybe

0:36:27.080 --> 0:36:29.719
<v Speaker 16>a potentially game changing deal, at least in the short

0:36:29.800 --> 0:36:33.320
<v Speaker 16>term for one of America's most beleagued companies.

0:36:34.440 --> 0:36:37.040
<v Speaker 3>Bloombos Ryan Gould part of the reporting team, or an

0:36:37.080 --> 0:36:38.320
<v Speaker 3>astonishing week for Intel.

0:36:38.320 --> 0:36:38.600
<v Speaker 2>Thank you.

0:36:38.680 --> 0:36:41.200
<v Speaker 3>Let's get more on Intel and Washington's chip goals and

0:36:41.200 --> 0:36:45.319
<v Speaker 3>how this all fits in Ben hur in Creative Strategy CEO, Ben,

0:36:45.360 --> 0:36:47.440
<v Speaker 3>for loads of people, this isn't actually an issue of

0:36:47.480 --> 0:36:50.839
<v Speaker 3>money for Intel, It's an issue of technology and it's

0:36:50.880 --> 0:36:54.319
<v Speaker 3>an issue of no customers. How did you react to

0:36:54.320 --> 0:36:56.520
<v Speaker 3>Bloomberg's reporting in the last twenty four hours.

0:36:57.680 --> 0:36:59.680
<v Speaker 17>Yeah, I mean, I think we've been looking at this

0:36:59.800 --> 0:37:03.680
<v Speaker 17>from some sort of a leading in this direction for

0:37:03.760 --> 0:37:06.400
<v Speaker 17>some time. I mean, obviously, when you know, Trump came

0:37:06.480 --> 0:37:09.120
<v Speaker 17>up and said what he said about lip butan we

0:37:09.200 --> 0:37:11.279
<v Speaker 17>felt that this was in light of wanting to do

0:37:11.840 --> 0:37:14.239
<v Speaker 17>or at least have a broader conversation that had not

0:37:14.360 --> 0:37:16.680
<v Speaker 17>had happened prior. If he's noted like Intel was not

0:37:17.239 --> 0:37:19.279
<v Speaker 17>involved in a lot of the you know, sort of

0:37:19.400 --> 0:37:23.640
<v Speaker 17>public displays of America first, even though everybody knows they're

0:37:23.680 --> 0:37:27.840
<v Speaker 17>America first. And obviously his comments right on earnings about

0:37:27.920 --> 0:37:29.759
<v Speaker 17>you know, they may not go forward to fourteen A

0:37:29.880 --> 0:37:32.399
<v Speaker 17>without help, I think was very telling. And I think

0:37:32.400 --> 0:37:34.560
<v Speaker 17>all of that led to this moment, which is, you know,

0:37:34.560 --> 0:37:39.160
<v Speaker 17>from a national security standpoint, and really anybody in insecurity

0:37:39.360 --> 0:37:41.000
<v Speaker 17>and knowing what's going on in chips in the US

0:37:41.080 --> 0:37:44.400
<v Speaker 17>should believe we want a US company to make leading

0:37:44.520 --> 0:37:47.160
<v Speaker 17>edge chips here in the United States, and that's Intel.

0:37:47.239 --> 0:37:49.520
<v Speaker 17>So we want to see some resolution, right as one

0:37:49.600 --> 0:37:52.120
<v Speaker 17>hundred percent clear. Like you said, they need customers and

0:37:52.200 --> 0:37:54.200
<v Speaker 17>we need to figure out how to get some form

0:37:54.200 --> 0:37:55.640
<v Speaker 17>of capital so they can keep going.

0:37:57.360 --> 0:37:59.920
<v Speaker 3>Over the course of five days, Intel's up twenty seven percent.

0:38:00.040 --> 0:38:02.120
<v Speaker 3>If it closes at those levels, it will be the

0:38:02.160 --> 0:38:05.760
<v Speaker 3>biggest weekly gain on record on a closing basis, which, yeah,

0:38:06.160 --> 0:38:09.600
<v Speaker 3>is Boo Tan the man for this Ben Yeah.

0:38:09.400 --> 0:38:12.000
<v Speaker 17>I mean I think his approach is fairly pragmatic. Right,

0:38:12.040 --> 0:38:15.719
<v Speaker 17>It's not just about build and invests. Build the right technology,

0:38:15.719 --> 0:38:18.000
<v Speaker 17>but do so in a capital way that makes sense.

0:38:18.000 --> 0:38:19.680
<v Speaker 17>I think that's really what the board wants, that's what

0:38:19.800 --> 0:38:21.000
<v Speaker 17>investors wants.

0:38:21.480 --> 0:38:21.640
<v Speaker 5>You know.

0:38:21.640 --> 0:38:23.759
<v Speaker 17>And I think really the strategy is, again, how much

0:38:23.800 --> 0:38:26.760
<v Speaker 17>money do they actually need. I do think the tens

0:38:26.760 --> 0:38:28.680
<v Speaker 17>of billions of dollars is right in terms of to

0:38:28.760 --> 0:38:31.399
<v Speaker 17>get to fourteen A on top of what Intel will

0:38:31.400 --> 0:38:33.880
<v Speaker 17>bring in customers. But the bottom line is right, they

0:38:33.920 --> 0:38:36.000
<v Speaker 17>can't do this on their own, that's what they're saying.

0:38:36.000 --> 0:38:38.560
<v Speaker 17>Whether it's customers or whether it's the government. You know,

0:38:38.760 --> 0:38:40.880
<v Speaker 17>there needs to be an infusion of capital that's not

0:38:41.040 --> 0:38:43.560
<v Speaker 17>just Intel, to make sure that foundry is secured for

0:38:43.600 --> 0:38:44.160
<v Speaker 17>the long haul.

0:38:44.880 --> 0:38:48.440
<v Speaker 4>Ben there is this chicken nag situation because le Bhutan is saying,

0:38:48.480 --> 0:38:49.960
<v Speaker 4>I'm not going to build it and wait for them

0:38:50.000 --> 0:38:52.360
<v Speaker 4>to come. They've got to tell me that the demand

0:38:52.440 --> 0:38:55.320
<v Speaker 4>is there. Does in some way taking equity by the

0:38:55.400 --> 0:38:58.440
<v Speaker 4>US government incentivize others to get behind the government and

0:38:58.480 --> 0:39:01.040
<v Speaker 4>say will buy them. We'll them if indeed you do

0:39:01.080 --> 0:39:02.759
<v Speaker 4>innovate and get that fourteen A out there.

0:39:04.120 --> 0:39:05.400
<v Speaker 17>I mean, I think it's got to be more than

0:39:05.480 --> 0:39:07.680
<v Speaker 17>just the government stake. I mean, I think what everybody's

0:39:07.680 --> 0:39:10.120
<v Speaker 17>been speculating is would that come along with some form

0:39:10.160 --> 0:39:13.680
<v Speaker 17>of a of a tariff or something that you know,

0:39:13.960 --> 0:39:18.840
<v Speaker 17>strongly incentivized companies like you know, Nvidia, Apple, A, md Qualcom,

0:39:18.840 --> 0:39:22.440
<v Speaker 17>et cetera to not you know, use TSMC, but then

0:39:22.800 --> 0:39:25.400
<v Speaker 17>use some capacity of Intel, not one hundred percent, but

0:39:25.440 --> 0:39:25.839
<v Speaker 17>some of it.

0:39:26.080 --> 0:39:27.719
<v Speaker 11>So I think it would necessitate that.

0:39:27.960 --> 0:39:30.319
<v Speaker 17>You know, again, I think we want Intel to win

0:39:30.400 --> 0:39:32.839
<v Speaker 17>on the merit of technology, which we think is very

0:39:32.840 --> 0:39:35.040
<v Speaker 17>good on paper, but they just need to get some

0:39:35.120 --> 0:39:38.480
<v Speaker 17>customer wins. And I think once that happens, the confidence,

0:39:38.640 --> 0:39:40.799
<v Speaker 17>you know, continues but again they're at a they're at

0:39:40.840 --> 0:39:43.440
<v Speaker 17>a need for capital, and so how that arises is

0:39:43.960 --> 0:39:45.360
<v Speaker 17>sort of the root of this situation.

0:39:45.880 --> 0:39:48.720
<v Speaker 4>Ben, that's interesting that you say the tariff tactic because

0:39:48.719 --> 0:39:51.319
<v Speaker 4>we've heard on air Force one from President Trump today.

0:39:51.320 --> 0:39:52.760
<v Speaker 7>Then maybe it goes fast two hundred.

0:39:52.560 --> 0:39:55.680
<v Speaker 4>Three hundred percent tariffs on semiconductors. But then there's all

0:39:55.680 --> 0:39:58.280
<v Speaker 4>these carv oalves, particularly for companies investing in the US,

0:39:58.400 --> 0:40:02.359
<v Speaker 4>like TSMC likes, I'm sung Intel's biggest competitives.

0:40:03.320 --> 0:40:05.760
<v Speaker 17>Yeah, And I think the difference though, is that Intel

0:40:05.880 --> 0:40:08.520
<v Speaker 17>is more at the leading edge, So TSMC is not

0:40:08.560 --> 0:40:10.440
<v Speaker 17>going to bring in. The Taiwanese government has been very

0:40:10.440 --> 0:40:13.520
<v Speaker 17>clear they're not going to allow them to bring the

0:40:13.600 --> 0:40:16.720
<v Speaker 17>leading edge. So call it two naanimeter, one nanometer and beyond.

0:40:16.960 --> 0:40:20.680
<v Speaker 17>Samsung's equally struggling to hit that number even though they're trying.

0:40:20.840 --> 0:40:23.560
<v Speaker 17>Intel's really the best bet. And more importantly, Intel is

0:40:23.600 --> 0:40:26.120
<v Speaker 17>an American company, And so that's why I say, like,

0:40:26.280 --> 0:40:30.200
<v Speaker 17>if this is some investment of peep private equity plus government,

0:40:30.600 --> 0:40:32.800
<v Speaker 17>it makes sense that they want to protect that investment,

0:40:32.880 --> 0:40:35.120
<v Speaker 17>so they will do what they need in terms of

0:40:35.200 --> 0:40:38.640
<v Speaker 17>terrorists or some other form of regulations that just encourage

0:40:38.680 --> 0:40:41.640
<v Speaker 17>customers to use Intel. But again, I still think it's

0:40:41.640 --> 0:40:44.799
<v Speaker 17>better if Intel just wins on technological merit, which we

0:40:44.840 --> 0:40:45.440
<v Speaker 17>think they have.

0:40:46.160 --> 0:40:48.000
<v Speaker 11>But we need a bridge, we need a gap, and.

0:40:48.239 --> 0:40:50.279
<v Speaker 17>That's kind of where everybodys struggling to figure out where

0:40:50.280 --> 0:40:50.960
<v Speaker 17>that comes from.

0:40:52.400 --> 0:40:55.560
<v Speaker 3>Ben Intel will not comment on Bloomberg's reporting. The White

0:40:55.600 --> 0:40:59.680
<v Speaker 3>House hasn't said anything to confirm the reporting. But the

0:40:59.800 --> 0:41:01.920
<v Speaker 3>chart says, you assigned to this deal happening.

0:41:04.000 --> 0:41:05.480
<v Speaker 11>Oh, it's a tough it's a good question.

0:41:05.640 --> 0:41:08.960
<v Speaker 17>I mean, I think it really comes down to do

0:41:09.120 --> 0:41:11.640
<v Speaker 17>would they believe that they could structure this in the

0:41:11.680 --> 0:41:15.360
<v Speaker 17>way in a way that's fair, whether that's divesting of

0:41:15.400 --> 0:41:18.480
<v Speaker 17>shares right or paying that back like some of the

0:41:18.480 --> 0:41:20.319
<v Speaker 17>ways where you've seen them when they have to do,

0:41:20.560 --> 0:41:23.120
<v Speaker 17>you know, investments in companies, so.

0:41:23.040 --> 0:41:24.600
<v Speaker 11>It's not just a constant holding.

0:41:24.880 --> 0:41:27.080
<v Speaker 17>I think when anytime the government gets involved, it's very

0:41:27.160 --> 0:41:31.640
<v Speaker 17>very tricky. But again, right, they need customers. I'd like,

0:41:31.640 --> 0:41:33.400
<v Speaker 17>I know, this is an non answer, I'd say fifty

0:41:33.400 --> 0:41:34.040
<v Speaker 17>to fifty.

0:41:33.800 --> 0:41:36.839
<v Speaker 7>It's okay, but you know, a phone a friend. Fifty

0:41:36.880 --> 0:41:37.680
<v Speaker 7>to fifty phone a friend.

0:41:37.719 --> 0:41:41.880
<v Speaker 4>Benar creative strategies fantastic to get your opinion.

0:41:42.239 --> 0:41:43.120
<v Speaker 7>Thank you very much.

0:41:43.160 --> 0:41:45.239
<v Speaker 4>Indeed, that does it for this edition of Bloomboat Tech.

0:41:45.280 --> 0:41:48.000
<v Speaker 4>An extraordinary week around semiconductor Z.

0:41:48.920 --> 0:41:50.719
<v Speaker 3>Yeah, like the rest of the session, keep an eye

0:41:50.719 --> 0:41:53.400
<v Speaker 3>on Intel if it closes that level best week on record.

0:41:53.680 --> 0:41:56.239
<v Speaker 3>Recap everything we discussed in the podcast. You know where

0:41:56.239 --> 0:41:58.839
<v Speaker 3>to find it on the Bloomberg terminal as well as

0:41:58.840 --> 0:42:02.439
<v Speaker 3>online on Apple fight In. iHeart from New York City

0:42:02.480 --> 0:42:04.280
<v Speaker 3>and London. I'm taking a little.

0:42:04.080 --> 0:42:06.360
<v Speaker 2>Break for a while, but we'll be back. This is

0:42:06.400 --> 0:42:07.200
<v Speaker 2>Koomberg Tech.