WEBVTT - Nvidia, ASML Drive Global Tech Rout, Lyft Buys Into Europe

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<v Speaker 1>From the heart of where innovation, money and power collide

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<v Speaker 1>in Silicon Valley and beyond. This is Bloomberg Technology with

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<v Speaker 1>Caroline Hyde and Ed Ludlow.

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<v Speaker 2>Live from San Francisco. This is Bloomberg Technology coming up

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<v Speaker 2>in Nvidia drives a global route in chip stocks after

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<v Speaker 2>new US government restrictions on tech exports to China. Plus

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<v Speaker 2>Lift buys its way into the European market with an

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<v Speaker 2>eye on rolling out autonomous driving. And we speak to

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<v Speaker 2>the President's Chief Technology Advisor and Director of the White

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<v Speaker 2>House Office of Science and Technology Policy, Michael Kratzios. Again,

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<v Speaker 2>it is the chip sector, semiconductors, where our focus is

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<v Speaker 2>new export controls and license requirements on two big names

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<v Speaker 2>for the export of specific technologies designed for the Chinese market.

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<v Speaker 2>This is the picture at the index level. We're down

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<v Speaker 2>three and a half percent. Clearly some pain across the

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<v Speaker 2>industry that's spreading the key names of this in Video

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<v Speaker 2>and AMD, both of them taking write downs in the

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<v Speaker 2>first quarter. We'll get to the numbers very soon. Elsewhere

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<v Speaker 2>ASML is an earning story out of Europe. It missed

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<v Speaker 2>its bookings by almost a billion dollars and it's saying

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<v Speaker 2>we don't know how to quantify the impact of tariff's

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<v Speaker 2>on our business. Their business. They are the biggest and

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<v Speaker 2>most important maker of the machines that make the chips

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<v Speaker 2>chip making equipment. Again, we will go deep on that

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<v Speaker 2>story in the show. Let's get to our top story

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<v Speaker 2>and Video and AMD have been hit hard by new

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<v Speaker 2>US restrictions on semiconductor exports to China. Bluebow Technology editor

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<v Speaker 2>Michael Shepherd joins us from DC give us the details

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<v Speaker 2>the license requirements and I guess, Michael, what happens next

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<v Speaker 2>for these two names.

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<v Speaker 3>Well, what happened just now is the write downs that

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<v Speaker 3>the company had to report.

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<v Speaker 2>First of all, they are not small.

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<v Speaker 3>In video report out of five point five billion dollar

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<v Speaker 3>dollar charge for the first quarter, AMD eight hundred million,

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<v Speaker 3>and all from these new restrictions that they are now

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<v Speaker 3>facing on the chips that they have designed specifically for

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<v Speaker 3>the Chinese market. And these were designed to comply with

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<v Speaker 3>previous rounds of US restrictions on sales of advanced semiconductors

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<v Speaker 3>to China. The goal for the administration and for the

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<v Speaker 3>prior administration too, has been to try to keep those

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<v Speaker 3>sophisticated semiconductors out of Chinese hands where they can help

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<v Speaker 3>Beijing gain an edge militarily and give Chinese companies perhaps

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<v Speaker 3>a way to gain ground on American hyperscalers, an American

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<v Speaker 3>advantage in artificial intelligence. Now, the catch with these chips

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<v Speaker 3>is that while they have been scaled down our lower

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<v Speaker 3>power for the Chinese market AD, they are also useful

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<v Speaker 3>in inference and this is an emerging area in AI

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<v Speaker 3>where it is helping companies develop models faster and more effectively,

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<v Speaker 3>something that we saw with Deep Seek, and that was

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<v Speaker 3>one of the wake up calls for the Trump administration

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<v Speaker 3>as it took offices.

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<v Speaker 4>I'm sure you'll recall, and we heard Commerce.

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<v Speaker 3>Secretary Howard Lutner articulate.

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<v Speaker 4>This and make clear that restrictions like these would be coming,

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<v Speaker 4>and now we're seeing them today and the companies, of

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<v Speaker 4>course are feeling the pain. And this is compounded, of

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<v Speaker 4>course by all the concerns about tariffs and elsewhere.

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<v Speaker 2>In Bloomberg's Mike Shepherd in Washington, d C. Thank you

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<v Speaker 2>very much. The other big downward pressure on the semiconductor

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<v Speaker 2>space is ASML, the world's biggest chip equipment maker, posting

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<v Speaker 2>orders that missed estimates in a very big way. It

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<v Speaker 2>has dimmed the outlook for the semiconductor sector overall, particularly

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<v Speaker 2>with regards to anxiety about tariffs. Bloomberg's executive editor, Peter

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<v Speaker 2>Elstrom is in London and it's a one billion dollar

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<v Speaker 2>miss basically on bookings. But what accounted for the miss

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<v Speaker 2>and what did ASML say about the impact of tariffs

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<v Speaker 2>principally and efforts by the United States for ASML to

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<v Speaker 2>bring some manufacturing to this country.

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<v Speaker 5>Peter, Yeah, it's a big miss by ASML. And ASML

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<v Speaker 5>of course makes the machines that produce chips for the

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<v Speaker 5>likes of TSMC and Intel and Samsung, so they're kind

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<v Speaker 5>of a bell weather for chip demand in particular. Now,

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<v Speaker 5>the CEO, Christoph Fouquet, was pressed pretty hard on the

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<v Speaker 5>earnings call that we were just listening to now, asking

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<v Speaker 5>questions about what's driving this, what are the implications. One

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<v Speaker 5>key factor is certainly this tariff uncertainty that we're seeing.

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<v Speaker 5>It's not exactly clear what kind of demand is going

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<v Speaker 5>to be generated in some of these areas, including artificial

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<v Speaker 5>intelligence and other areas. Another key question is whether tariffs

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<v Speaker 5>are going to be levied on the machines that ASML

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<v Speaker 5>makes as they're getting shipped into the United States. The

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<v Speaker 5>Biden administration now the Trump administration both want to build

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<v Speaker 5>up the chip capacity within the United States, but that's

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<v Speaker 5>going to be more difficult if TSMC and Intel and

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<v Speaker 5>other companies have to pay more for these machines. At

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<v Speaker 5>the same time, you're seeing some weakness in some of

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<v Speaker 5>the key players here. Intel, of course, is struggling quite

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<v Speaker 5>a bit. Even Samsung Electronics now is having a bit

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<v Speaker 5>of a difficult time building up its capacity. Has slowed

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<v Speaker 5>things down, so you don't want to add additional costs

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<v Speaker 5>on top of that. Just to give a sense of

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<v Speaker 5>the scale, ASML's machines can go for three hundred and

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<v Speaker 5>eighty million dollars, if you put a terrif on top

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<v Speaker 5>of that, in the range that the Trump administration is

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<v Speaker 5>talking about, it could be ninety five million dollars in

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<v Speaker 5>tariff costs.

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<v Speaker 6>Now.

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<v Speaker 5>Fo K was very clear to say that the customers

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<v Speaker 5>are going to bear the brunt of those costs. It's

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<v Speaker 5>not going to be ALML themselves. But even if the

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<v Speaker 5>customers bear those costs, it may slow them down a

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<v Speaker 5>bit in terms of buying these machines and then deploying them.

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<v Speaker 5>They may have to think twice about how quickly they're

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<v Speaker 5>going to move ahead in building the kind of capacity

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<v Speaker 5>that the administration actually does want in the United States.

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<v Speaker 2>Bloomberg's Pizza Elstrom in London, Thank you very much. Denny

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<v Speaker 2>Fish is a tech investor with skin in the game.

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<v Speaker 2>His funds at Janis Henderson count Nvidia and ASML among

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<v Speaker 2>its top holdings. There's also TSMC, Broadcom, some of the hyperscalers.

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<v Speaker 2>Let's get the investors take on technology, export controls and tariffs.

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<v Speaker 2>Good morning, Denny Fish. Were you ready for those headlines

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<v Speaker 2>on in video and AMD.

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<v Speaker 7>No. I wasn't, particularly because there was reporting just a

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<v Speaker 7>couple of days ago that they had come to an

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<v Speaker 7>agreement the administration within video that they weren't going to

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<v Speaker 7>have these restrictions. Obviously, that was just a report, but

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<v Speaker 7>it definitely took the market by surprise.

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<v Speaker 2>I want to show a chart which is the proportion

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<v Speaker 2>of Nvidia's revenue that comes from China, and clearly the

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<v Speaker 2>chart tells a clear story. In twenty twenty two, China

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<v Speaker 2>revenues around twenty six percent, currently twenty twenty five with

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<v Speaker 2>down the thirteen percent. I think many except that this

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<v Speaker 2>is headed towards single digit because of the impact of

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<v Speaker 2>technology export controls. Does that matter to you as an

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<v Speaker 2>Nvidia investor, Denny, do you sort of worry about that

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<v Speaker 2>and lay awake at night thinking about in Vidia's business

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<v Speaker 2>in China?

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<v Speaker 7>Well, two parts of that question. One is whether it

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<v Speaker 7>matters to me as an investor. In two, I lay

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<v Speaker 7>awake thinking about China. I think the important thing is

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<v Speaker 7>it's actually good to just get it out of the model. Okay,

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<v Speaker 7>So I mean we're kind of wiping it clean. We're

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<v Speaker 7>taking a clean cut to estimates. And to your point,

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<v Speaker 7>the revenue contribution from China has come down materially over

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<v Speaker 7>the last few years. I think something else that's important

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<v Speaker 7>is that you know, there's something that's it's called the

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<v Speaker 7>diffusion Rule that is supposed to come into effect in

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<v Speaker 7>the month of May, and effectively with that is that

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<v Speaker 7>just puts a quota on the number of GPUs that

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<v Speaker 7>certain countries can actually buy. Now, one might think that

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<v Speaker 7>potentially the diffusion rule could be relaxed somewhat.

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<v Speaker 6>That could benefit in video.

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<v Speaker 7>The other thing that's just kind of puzzling about all

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<v Speaker 7>of this is that in some ways this makes no

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<v Speaker 7>sense at all for.

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<v Speaker 6>The administration to do. And why is that.

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<v Speaker 7>Huawei already produces a chip it's somewhat comparable to the

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<v Speaker 7>H twenty that is actually the customized chip that Nvidia

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<v Speaker 7>has been selling in to China, and as a result,

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<v Speaker 7>they're just giving the market to Huawei. And so they're

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<v Speaker 7>penalizing a US company by you know, restricting a chip

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<v Speaker 7>that's not even that competitive relative to a locally supplied chip. So,

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<v Speaker 7>you know, we've already thought about this, you know, pretty extensively.

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<v Speaker 7>We didn't know if we would get a full cut,

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<v Speaker 7>but I think, you know, the direction of travel was clear.

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<v Speaker 7>Contribution from China was going to go way down, and

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<v Speaker 7>you know, because we're still supply constrained, and Nvidia has

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<v Speaker 7>the benefit of being able to read direct wafers to

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<v Speaker 7>other areas where they can actually sell more powerful chips

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<v Speaker 7>and chips with higher gross margins.

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<v Speaker 2>The goal of this administration appays to be to shift

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<v Speaker 2>mores of the United States, be it localized fabrication of

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<v Speaker 2>the core chip assembly, whatever it may be. And so

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<v Speaker 2>the companies will face the higher cost of doing business

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<v Speaker 2>in this country, or they will face twenty thirty five

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<v Speaker 2>percent net tariff somewhere else. What are the pros and

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<v Speaker 2>cons of just going with what this administration was and saying, Okay,

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<v Speaker 2>we're going to do this in America.

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<v Speaker 7>Well, the pros are that to the extent that we

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<v Speaker 7>actually have the capacity to manufacture leading edge.

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<v Speaker 6>Chips, that's a good thing.

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<v Speaker 7>And it's a good thing because those are the types

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<v Speaker 7>of chips that are used in our most important industries

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<v Speaker 7>for national security and for maintaining our competitive advantage globally

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<v Speaker 7>as we you know, race towards artificial general intelligence. The

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<v Speaker 7>cons are it is more expensive, but nonetheless, you would

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<v Speaker 7>think that the productivity gains that we get in agg

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<v Speaker 7>it from deploying AI probably more than offsets what the

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<v Speaker 7>aggregate costs would be for manufacturing the chips in the

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<v Speaker 7>United States. And I just say, you know, thank goodness,

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<v Speaker 7>TSMC put a shovel in the ground, you know several

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<v Speaker 7>years ago in Arizona that they're actually in a position

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<v Speaker 7>now for companies like Nvidian a MD to actually announce

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<v Speaker 7>that they're going to be producing leading edge two nanometer

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<v Speaker 7>chips with TSMC in Arizona as well as configuring full

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<v Speaker 7>systems in the United States.

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<v Speaker 6>From a manufacturing standpoint, a story.

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<v Speaker 2>We put heavy emphasis on this week. So in video

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<v Speaker 2>is your top holding across a couple of funds, right,

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<v Speaker 2>TSMC is always in there? You said, Thank goodness, that's

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<v Speaker 2>the case basically, But how does your your thinking now change?

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<v Speaker 6>Right?

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<v Speaker 2>Do you stick with this this idea that capital expenditures

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<v Speaker 2>will continue to grow in twenty five, twenty six, twenty seven,

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<v Speaker 2>the hyperscalers will continue to take from Nvidia or are

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<v Speaker 2>you now going to adjust where you put your end assist.

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<v Speaker 6>Any Well, we take the data as it comes.

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<v Speaker 7>But most importantly, I think if you just look at

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<v Speaker 7>the most recent comments out of Nvidia where they just

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<v Speaker 7>had their GtC conference, if you actually parsed through the

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<v Speaker 7>comments from ASML today and you pars through the comments

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<v Speaker 7>that we've heard from hyperscalar CEOs, we don't see signs

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<v Speaker 7>of a slow down in AI capex and so now

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<v Speaker 7>the growth may slow, but nonetheless the signs still support

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<v Speaker 7>healthy growth in AI capex. Well, like I said, we'll

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<v Speaker 7>take the data as it comes. But ASML was still

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<v Speaker 7>optimistic about AI. And you know, it's really the lagging

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<v Speaker 7>edge stuff, you know, analog chips and so forth that

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<v Speaker 7>go into industrial and auto and things like that that

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<v Speaker 7>still you know, continue to be soft. And I will

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<v Speaker 7>remind you, you know, I know this is different with

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<v Speaker 7>the tariffs and the geopolitical situation, but just rewind the

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<v Speaker 7>clock one year and asml same thing happened, they missed bookings,

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<v Speaker 7>the stock was down, and then all they because the

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<v Speaker 7>bookings are really lumpy, and then bookings just reaccelerated throughout

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<v Speaker 7>the year and they're doing some really cool stuff. And

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<v Speaker 7>you know, one of the things they talked about is,

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<v Speaker 7>you know, one of the reasons that you know they

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<v Speaker 7>can continue to drive higher pricing for their EUV and

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<v Speaker 7>high NA EUV is because they're starting to do what's

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<v Speaker 7>called single layer and what that effectively does it increases

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<v Speaker 7>the throughput, it's more valuable, and therefore they can charge

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<v Speaker 7>a higher price that.

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<v Speaker 2>A technology charge a higher price. Danny Fisher, Jannis Henderson

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<v Speaker 2>is great to have you back on the program. Thank

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<v Speaker 2>you very much. Now coming up here on Bloomberg Technology,

0:12:42.840 --> 0:12:45.760
<v Speaker 2>list is expanding outside of the US and Canada. We

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<v Speaker 2>have CEO David Risha on the company's European acquisition. That's next.

0:12:50.679 --> 0:13:08.560
<v Speaker 2>This is Bloomberg Technology. Some deal news. Lift has agreed

0:13:08.559 --> 0:13:11.400
<v Speaker 2>to buy the European Multi Mobility and taxi ailing app

0:13:11.440 --> 0:13:14.400
<v Speaker 2>Free Now for about one hundred and ninety seven million dollars.

0:13:14.480 --> 0:13:17.560
<v Speaker 2>It marks its first global expansion beyond the US and Canada.

0:13:17.840 --> 0:13:21.280
<v Speaker 2>Lift CEO David Risha joins US. Now, I've been using Uber,

0:13:21.360 --> 0:13:23.720
<v Speaker 2>your main competitor in Europe for a really long time.

0:13:23.880 --> 0:13:25.680
<v Speaker 2>I've been going in taxis in Europe for a really

0:13:25.720 --> 0:13:29.680
<v Speaker 2>long time. Why acquire free now and not just launch

0:13:29.760 --> 0:13:32.440
<v Speaker 2>the Lift app in that jurisdiction.

0:13:32.440 --> 0:13:35.719
<v Speaker 8>Because Frenal is a great company that's got great relationships

0:13:36.000 --> 0:13:39.440
<v Speaker 8>all across Europe in the really important taxi industry. I mean, look,

0:13:39.480 --> 0:13:41.440
<v Speaker 8>so Lift, as you know ed you've been following us

0:13:41.440 --> 0:13:43.800
<v Speaker 8>for a while. We're in a stronger position than we've

0:13:43.840 --> 0:13:46.520
<v Speaker 8>ever been. We're picking riders up faster than we've ever

0:13:46.559 --> 0:13:49.079
<v Speaker 8>picked them up before. Drivers are making billions on the

0:13:49.080 --> 0:13:51.760
<v Speaker 8>platform in the US and Canada, and so now's the

0:13:51.800 --> 0:13:53.480
<v Speaker 8>right time for us to go global. And what's great

0:13:53.520 --> 0:13:56.440
<v Speaker 8>about it is it expands our market, doubles our market,

0:13:56.480 --> 0:13:58.640
<v Speaker 8>and it allows us to plug into, as you say,

0:13:58.800 --> 0:14:01.160
<v Speaker 8>the taxi world, which is a huge, huge part of

0:14:01.160 --> 0:14:02.680
<v Speaker 8>the European mobility scene.

0:14:03.240 --> 0:14:04.800
<v Speaker 2>Tomorrow. I think I'm right in saying it's your two

0:14:04.880 --> 0:14:09.400
<v Speaker 2>year anniversary at Lyft, good memories and you have fixed

0:14:09.440 --> 0:14:11.760
<v Speaker 2>the finances of that company to an extent. But the

0:14:11.880 --> 0:14:15.160
<v Speaker 2>data is so key, right, Uber has what one million

0:14:15.400 --> 0:14:18.000
<v Speaker 2>drivers in Europe and I think free now has about

0:14:18.000 --> 0:14:22.000
<v Speaker 2>one hundred and fifty thousand registered taxi drivers nine cities.

0:14:22.520 --> 0:14:24.600
<v Speaker 2>How do you bridge the gap? Are you confident you

0:14:24.680 --> 0:14:26.080
<v Speaker 2>can bridge the gap? Yeah?

0:14:26.160 --> 0:14:28.520
<v Speaker 8>I am the goodness So free Now is a great

0:14:28.520 --> 0:14:30.320
<v Speaker 8>company and one of the things that makes them so

0:14:30.400 --> 0:14:34.040
<v Speaker 8>strong is they really understand the local dynamics, market by

0:14:34.080 --> 0:14:38.120
<v Speaker 8>market by market. Here's that thing. The mobility market in

0:14:38.120 --> 0:14:41.040
<v Speaker 8>Europe for this this kind of you ride heiling is

0:14:41.040 --> 0:14:42.960
<v Speaker 8>about forty billion euros.

0:14:43.920 --> 0:14:45.920
<v Speaker 6>Half of that are offline taxes.

0:14:46.040 --> 0:14:48.480
<v Speaker 8>This are literally still people calling up a taxi company

0:14:48.480 --> 0:14:50.920
<v Speaker 8>and saying, come take me to the airport, come take me,

0:14:51.000 --> 0:14:52.160
<v Speaker 8>I'm going on a business trip.

0:14:52.200 --> 0:14:52.800
<v Speaker 6>Whatever it is.

0:14:52.920 --> 0:14:55.920
<v Speaker 8>So well, it's true, there are other companies there. Free

0:14:55.920 --> 0:14:58.480
<v Speaker 8>Now is the leader in the taxi space. And remember

0:14:58.600 --> 0:15:00.640
<v Speaker 8>is you know, taxi is kind of an elevat experience

0:15:00.680 --> 0:15:02.480
<v Speaker 8>to a lot of Europe think of the London Blackpam.

0:15:02.600 --> 0:15:05.240
<v Speaker 8>So we think that the company is really well positioned

0:15:05.480 --> 0:15:07.320
<v Speaker 8>to really sort of you know, continue to grow and

0:15:07.360 --> 0:15:08.720
<v Speaker 8>take over the much bigger space.

0:15:09.320 --> 0:15:12.000
<v Speaker 2>But it is a company that's only recently broken even

0:15:12.680 --> 0:15:15.240
<v Speaker 2>it's had historic losses. What are you modeling for in

0:15:15.320 --> 0:15:17.520
<v Speaker 2>terms of what it adds to your top line and

0:15:17.560 --> 0:15:19.200
<v Speaker 2>bottom line and how immediately.

0:15:19.440 --> 0:15:22.360
<v Speaker 8>Yeah, so it's a profitable company. It hasn't been a

0:15:22.360 --> 0:15:24.880
<v Speaker 8>billion dollars in bookings, which is significant. Now I've left,

0:15:24.920 --> 0:15:27.160
<v Speaker 8>of course, has sixteen billion in booking. So you know,

0:15:27.200 --> 0:15:29.240
<v Speaker 8>there's a lot of growth, you know, ahead of both

0:15:29.240 --> 0:15:31.680
<v Speaker 8>of us. But it'll be financially creative for us, which

0:15:31.720 --> 0:15:33.880
<v Speaker 8>is wonderful. And I think as we you know, they've

0:15:33.880 --> 0:15:36.800
<v Speaker 8>been owned by Mercedes and BMW, two great sort of

0:15:36.840 --> 0:15:40.360
<v Speaker 8>storied bottom manufacturers, but I think combining with US is

0:15:40.360 --> 0:15:42.680
<v Speaker 8>going to give them some new energy, some new expertise

0:15:43.240 --> 0:15:44.160
<v Speaker 8>to really allow.

0:15:44.000 --> 0:15:47.640
<v Speaker 2>Both of us to grow. There is zero mention in

0:15:47.680 --> 0:15:52.240
<v Speaker 2>the release about autonomous driving, and every cell side note

0:15:52.280 --> 0:15:55.440
<v Speaker 2>about this deal says it's your plan to roll out

0:15:55.480 --> 0:15:59.200
<v Speaker 2>autonomous driving in Europe with those two OEMs that you

0:15:59.320 --> 0:16:01.600
<v Speaker 2>just mentioned. Yeah, so here's how we.

0:16:01.520 --> 0:16:03.520
<v Speaker 8>Think about autonomous as we've said, I mean, first of all,

0:16:03.520 --> 0:16:05.760
<v Speaker 8>of course it's happening in the US.

0:16:05.840 --> 0:16:06.360
<v Speaker 6>We're actually a.

0:16:06.360 --> 0:16:09.160
<v Speaker 8>Little bit further ahead Europe a little bit not so much.

0:16:09.360 --> 0:16:11.480
<v Speaker 8>One of the great things free Now has is well too,

0:16:11.680 --> 0:16:15.240
<v Speaker 8>they've got great relationships with European regulators, and they've got

0:16:15.280 --> 0:16:18.000
<v Speaker 8>great fleet management and as you and I have discussed before,

0:16:18.200 --> 0:16:21.400
<v Speaker 8>fleet management is so important to autonomous So yeah, we

0:16:21.400 --> 0:16:23.440
<v Speaker 8>think it sets this up really well. Let's be clear,

0:16:23.480 --> 0:16:25.480
<v Speaker 8>this is going to be years down the road, but

0:16:25.520 --> 0:16:28.200
<v Speaker 8>it's a really important part of the overall strategy for

0:16:28.280 --> 0:16:29.320
<v Speaker 8>being a global player.

0:16:30.680 --> 0:16:33.360
<v Speaker 2>Two years in you've done some M and A, will

0:16:33.360 --> 0:16:34.280
<v Speaker 2>you do more M and A?

0:16:34.480 --> 0:16:35.120
<v Speaker 6>And where.

0:16:37.040 --> 0:16:38.880
<v Speaker 8>I mean, never say never, but this really is our

0:16:38.920 --> 0:16:40.960
<v Speaker 8>focus right now, right, I mean, the good news is,

0:16:41.040 --> 0:16:43.400
<v Speaker 8>you know again free Now is a great, strong company

0:16:43.440 --> 0:16:44.080
<v Speaker 8>and we've got.

0:16:43.880 --> 0:16:44.760
<v Speaker 6>So much to build on.

0:16:44.920 --> 0:16:48.120
<v Speaker 8>So we're going to be really focused on our European expansion,

0:16:48.160 --> 0:16:50.920
<v Speaker 8>obviously making sure it's a big success. And then who knows,

0:16:51.240 --> 0:16:52.920
<v Speaker 8>we'll talk later about someone else.

0:16:54.360 --> 0:16:57.200
<v Speaker 2>Engine capital activists, investor they want to change your board.

0:16:57.360 --> 0:16:59.800
<v Speaker 2>Your reaction please, I mean, we.

0:17:00.000 --> 0:17:03.000
<v Speaker 8>Interact with shareholders all the time and you know, listen

0:17:03.040 --> 0:17:05.960
<v Speaker 8>to their feedback. Take it seriously. You know, there's a

0:17:06.000 --> 0:17:08.880
<v Speaker 8>whole process for dealing with activist investors that were involved

0:17:08.880 --> 0:17:11.399
<v Speaker 8>in but probably speaking if you look at what shareholders want,

0:17:11.600 --> 0:17:14.480
<v Speaker 8>you know, capital return. We're giving out five hundred million

0:17:14.520 --> 0:17:18.320
<v Speaker 8>dollars in a share buyback. Growth, we're growing, We're now expanding,

0:17:18.359 --> 0:17:20.320
<v Speaker 8>We're strengthening our business by going international.

0:17:20.400 --> 0:17:21.159
<v Speaker 6>I think we're really.

0:17:21.040 --> 0:17:22.920
<v Speaker 8>Well positioned to address all of the issue.

0:17:22.920 --> 0:17:25.480
<v Speaker 2>Have you that shareholders bring Sorry to interrupt, David. Have

0:17:25.600 --> 0:17:28.400
<v Speaker 2>you spoken to them about the free now deal since

0:17:28.440 --> 0:17:31.800
<v Speaker 2>it happened? No, Okay, that's kind of interesting. Final questions

0:17:31.800 --> 0:17:37.520
<v Speaker 2>on technology Atlanta technology partnerships, MAME Mobility operationally give me

0:17:37.560 --> 0:17:38.359
<v Speaker 2>an update please.

0:17:38.520 --> 0:17:40.520
<v Speaker 8>Yeah, so you're referring to the partnership we have with

0:17:40.600 --> 0:17:45.080
<v Speaker 8>MAME Mobility and Autonomous Vehicle group or company that's on

0:17:45.119 --> 0:17:47.600
<v Speaker 8>track for this summer. So super excited to launch right

0:17:47.600 --> 0:17:49.320
<v Speaker 8>in the middle of downtown Atlanta.

0:17:50.359 --> 0:17:52.439
<v Speaker 2>On track for this summer, being commercially on track or

0:17:52.440 --> 0:17:53.720
<v Speaker 2>this is a kind of toe in the water.

0:17:54.400 --> 0:17:55.480
<v Speaker 6>Well, it's on track.

0:17:55.320 --> 0:17:59.560
<v Speaker 8>For us to start operationally this summer in Atlanta and

0:17:59.560 --> 0:18:01.359
<v Speaker 8>then you know it'll grow from there. But first we've

0:18:01.359 --> 0:18:03.280
<v Speaker 8>got to get you know, riders in the cars, and

0:18:03.320 --> 0:18:04.600
<v Speaker 8>that'll be sometime.

0:18:04.320 --> 0:18:07.080
<v Speaker 2>This summer because I have the term to do so

0:18:07.200 --> 0:18:10.800
<v Speaker 2>two years in What would you score yourself or grade

0:18:10.800 --> 0:18:13.359
<v Speaker 2>yourself on the job you've done as the Lift CEO.

0:18:13.720 --> 0:18:15.800
<v Speaker 8>Look, I am a self critical person.

0:18:15.920 --> 0:18:16.200
<v Speaker 2>I am.

0:18:16.240 --> 0:18:17.840
<v Speaker 8>I guess maybe one of the things that I do

0:18:17.920 --> 0:18:19.879
<v Speaker 8>is always look for the next thing. But I do

0:18:19.960 --> 0:18:21.840
<v Speaker 8>have to say I'm proud of what we've accomplished as

0:18:21.840 --> 0:18:24.320
<v Speaker 8>a team over two years, you know, getting to profitability,

0:18:24.640 --> 0:18:27.760
<v Speaker 8>seven hundred million dollars plus in free cash and maybe

0:18:27.760 --> 0:18:31.000
<v Speaker 8>most importantly, picking up riders faster than ever and drivers

0:18:31.000 --> 0:18:32.600
<v Speaker 8>making more on the platform than ever. So if I

0:18:32.600 --> 0:18:34.520
<v Speaker 8>look at it from the customer's point of view, we're

0:18:34.520 --> 0:18:36.960
<v Speaker 8>doing super well. It's up to other people to tell

0:18:37.000 --> 0:18:38.320
<v Speaker 8>me how I'm doing as a.

0:18:38.280 --> 0:18:40.919
<v Speaker 2>CEO, and the street gives you a lot of credit

0:18:40.960 --> 0:18:43.320
<v Speaker 2>for that. M and A maybe they didn't see coming

0:18:43.359 --> 0:18:46.719
<v Speaker 2>so much. Maybe we'll see some more Lift CEO David Risha,

0:18:47.080 --> 0:18:49.160
<v Speaker 2>thank you for joining us here on Bloomberg Technology. Now

0:18:49.160 --> 0:18:52.920
<v Speaker 2>coming up, Americans are still using Chinese e commerce apps

0:18:52.920 --> 0:18:55.879
<v Speaker 2>to shop cheap alternatives to some high end brands. We're

0:18:55.920 --> 0:18:58.479
<v Speaker 2>going to drive into the surge in sales for Timu

0:18:58.720 --> 0:18:59.280
<v Speaker 2>and Sian.

0:19:00.560 --> 0:19:20.240
<v Speaker 9>This is Bloomberg Technology.

0:19:23.200 --> 0:19:26.639
<v Speaker 2>A trade war won't stop Americans from shopping on Chinese apps.

0:19:26.680 --> 0:19:29.760
<v Speaker 2>Revenue surge for both she and and Timu this month

0:19:30.040 --> 0:19:33.920
<v Speaker 2>as US shoppers anticipate price increases due to tariffs. Bloomberg's

0:19:33.920 --> 0:19:36.680
<v Speaker 2>Lily Maya joins US and covers the retail Beat. It's

0:19:36.840 --> 0:19:39.560
<v Speaker 2>really interesting data. A lot of people in my world

0:19:39.720 --> 0:19:42.399
<v Speaker 2>use both of those apps. I don't what are we learning.

0:19:42.960 --> 0:19:45.680
<v Speaker 10>Yeah, it seems like these apps are seeing a lot

0:19:45.680 --> 0:19:49.040
<v Speaker 10>of success and people are going to them as tariffs

0:19:49.080 --> 0:19:51.120
<v Speaker 10>are starting to loom.

0:19:52.880 --> 0:19:55.280
<v Speaker 2>The eco data kind of comes in here right when

0:19:55.320 --> 0:19:58.399
<v Speaker 2>you think about tariffs, we think about passing on the

0:19:58.400 --> 0:20:01.600
<v Speaker 2>costs of the consumer through your beat, through the tech

0:20:01.600 --> 0:20:03.720
<v Speaker 2>companies that are in the ecomma space. What are we

0:20:03.800 --> 0:20:07.119
<v Speaker 2>learning about the consumer and that march data? Yeah, absolutely so.

0:20:07.160 --> 0:20:10.240
<v Speaker 2>It seems like the consumer is looking to spend right now.

0:20:11.119 --> 0:20:13.359
<v Speaker 10>The EGO data showed a lot of spending, and it

0:20:13.400 --> 0:20:15.800
<v Speaker 10>seems like people might be stocking up or buying now

0:20:15.920 --> 0:20:17.960
<v Speaker 10>before prices might get more expensive.

0:20:19.359 --> 0:20:23.639
<v Speaker 2>Lily, you cover retail, specialty retail in particular. What are

0:20:23.640 --> 0:20:27.160
<v Speaker 2>you learning about tariffs? Like, how do companies really think

0:20:27.200 --> 0:20:29.000
<v Speaker 2>about what happens next? They even know?

0:20:30.040 --> 0:20:32.960
<v Speaker 10>Yeah, so a lot of companies are doing different things.

0:20:33.320 --> 0:20:35.359
<v Speaker 10>A lot of the companies I cover report in the

0:20:35.400 --> 0:20:37.880
<v Speaker 10>next month, so that will be really interesting to hear,

0:20:38.320 --> 0:20:42.240
<v Speaker 10>you know, what they're looking to say to investors and shareholders.

0:20:42.320 --> 0:20:43.840
<v Speaker 10>But it seems like a lot of people are in

0:20:44.040 --> 0:20:46.440
<v Speaker 10>kind of a wait and see mode. They're not exactly

0:20:46.480 --> 0:20:48.879
<v Speaker 10>sure how tariffs are going to impact their business, and

0:20:48.880 --> 0:20:50.720
<v Speaker 10>they're trying to figure that out.

0:20:51.720 --> 0:20:53.560
<v Speaker 2>Bloomers really might great to have you on here on

0:20:53.600 --> 0:20:56.720
<v Speaker 2>Bloomberg Technology. Thank you very much. Now, coming up, Mark

0:20:56.800 --> 0:21:01.639
<v Speaker 2>Zuckerberg's email reveals his Instagram and what's strategies from the past.

0:21:01.720 --> 0:21:04.600
<v Speaker 2>We're going to go back to that antitrust case next.

0:21:04.640 --> 0:21:08.040
<v Speaker 2>Let's get to markets as well. It is the semiconductor

0:21:08.119 --> 0:21:11.159
<v Speaker 2>space that's dragging down technologies to shares broadly, but the

0:21:11.240 --> 0:21:14.600
<v Speaker 2>NASDAQ one hundred is under pressure generally speaking, and by

0:21:14.640 --> 0:21:17.480
<v Speaker 2>association some of the other key names in our world.

0:21:17.560 --> 0:21:22.919
<v Speaker 2>The Hyperscala's consumer tech under pressure. Bitcoin is going in

0:21:22.960 --> 0:21:26.439
<v Speaker 2>the opposite direction eighty five thousand US dollars per token

0:21:26.840 --> 0:21:29.919
<v Speaker 2>upper percent or so in the session, but it's not

0:21:30.000 --> 0:21:33.960
<v Speaker 2>behaved uniformly like as risk on risk off. It doesn't

0:21:34.200 --> 0:21:37.360
<v Speaker 2>sort of take into account the same fact as tech does.

0:21:37.400 --> 0:21:39.920
<v Speaker 2>We'll dig into that later in the week. Be right back.

0:21:40.200 --> 0:22:27.760
<v Speaker 2>This is Bloomberg Technology. Welcome back to Bloomberg Technology. I'm

0:22:27.840 --> 0:22:30.960
<v Speaker 2>Ed Ludlow in San Francisco. The market's picture is very clear.

0:22:31.000 --> 0:22:33.359
<v Speaker 2>We are under pressure and that largely comes from the

0:22:33.400 --> 0:22:38.080
<v Speaker 2>chip sector. New US restrictions on technology imports to China,

0:22:38.320 --> 0:22:41.720
<v Speaker 2>specifically for Nvidia and AMD, that is causing pain. But

0:22:41.760 --> 0:22:44.320
<v Speaker 2>by association you see a lot of the mag seven

0:22:44.359 --> 0:22:47.919
<v Speaker 2>megacap names down. Earning season is right around the corner.

0:22:48.240 --> 0:22:52.720
<v Speaker 2>The underperformance of the Philadelphia Semiconductor Index distills that chip pain.

0:22:53.160 --> 0:22:57.000
<v Speaker 2>The single names we know about Nvidia, AMD. Very interesting

0:22:57.000 --> 0:23:00.359
<v Speaker 2>discussion throughout the show on how long that pain will last.

0:23:00.520 --> 0:23:03.360
<v Speaker 2>But ASML is an earning story at missed bookings by

0:23:03.359 --> 0:23:06.600
<v Speaker 2>one billion dollars. Later in the program, per Ferregue, New

0:23:06.600 --> 0:23:09.320
<v Speaker 2>Street Research is going to come on and give us

0:23:09.560 --> 0:23:12.760
<v Speaker 2>deeper and more granular context about this name. There is

0:23:12.840 --> 0:23:15.560
<v Speaker 2>other news elsewhere. In his second day on the FDC's

0:23:15.560 --> 0:23:20.480
<v Speaker 2>antitrust trial, Mark Zuckerberg revealed that he once considered spinning

0:23:20.480 --> 0:23:24.159
<v Speaker 2>off Instagram back in twenty eighteen. In a letter to

0:23:24.240 --> 0:23:27.560
<v Speaker 2>senior leaders, he writes, quote, I'm beginning to wonder whether

0:23:27.640 --> 0:23:31.520
<v Speaker 2>spinning out Instagram is the only structure that will accomplish

0:23:31.520 --> 0:23:34.280
<v Speaker 2>a number of important goals. We should keep in mind

0:23:34.320 --> 0:23:36.399
<v Speaker 2>that there's a real chance that all our work to

0:23:36.400 --> 0:23:39.719
<v Speaker 2>build a family of apps may be something we don't

0:23:40.040 --> 0:23:43.240
<v Speaker 2>get to keep for more. Bloombers Kirk Wagner, who has

0:23:43.280 --> 0:23:47.040
<v Speaker 2>been in the courtroom at that trial, joins us, let's

0:23:47.080 --> 0:23:49.520
<v Speaker 2>go back over it and explain it. At one time

0:23:49.640 --> 0:23:54.400
<v Speaker 2>in twenty eighteen, of his own volition, Mark Zuckerberg considered

0:23:54.440 --> 0:23:57.400
<v Speaker 2>spinning off Instagram. What does that mean in the context

0:23:57.440 --> 0:24:00.880
<v Speaker 2>of this trial, Well.

0:24:00.680 --> 0:24:03.720
<v Speaker 11>It's very prophetic, right, Obviously he was sort of foreseeing

0:24:04.000 --> 0:24:06.760
<v Speaker 11>the issue that he's facing right now coming down the

0:24:06.840 --> 0:24:10.479
<v Speaker 11>road for him, you know, six seven years ago. I

0:24:10.560 --> 0:24:13.399
<v Speaker 11>don't think the fact that he thought about doing this really,

0:24:14.200 --> 0:24:16.119
<v Speaker 11>you know, hurts him so much today. I think it

0:24:16.200 --> 0:24:19.399
<v Speaker 11>was shared in the context of the FTC trying to

0:24:19.440 --> 0:24:22.680
<v Speaker 11>show that Instagram has perhaps harmed users.

0:24:22.840 --> 0:24:24.800
<v Speaker 2>Right, That's part of their play here, is.

0:24:24.800 --> 0:24:27.480
<v Speaker 11>That they want to show that buying Instagram buying WhatsApp

0:24:27.560 --> 0:24:30.840
<v Speaker 11>was actually bad for consumers. And if they can show that,

0:24:30.880 --> 0:24:33.680
<v Speaker 11>you know, Mark Zuckerberg even thought, Hey, maybe we shouldn't

0:24:33.680 --> 0:24:36.160
<v Speaker 11>be doing this seven years ago, maybe that's a sign

0:24:36.200 --> 0:24:39.399
<v Speaker 11>that they weren't you know, employing the best strategy for consumers.

0:24:39.520 --> 0:24:41.440
<v Speaker 11>But it is a very interesting thing, in part because

0:24:41.480 --> 0:24:43.959
<v Speaker 11>it was so foreshadowing of where he is today.

0:24:45.280 --> 0:24:48.840
<v Speaker 2>This is a multi week but potentially multi month process.

0:24:49.119 --> 0:24:51.119
<v Speaker 2>What else does the audience need to know about the

0:24:51.200 --> 0:24:54.320
<v Speaker 2>trial and proceedings? Where his META focused and where have

0:24:54.359 --> 0:24:55.520
<v Speaker 2>the FTC focused.

0:24:56.800 --> 0:25:01.040
<v Speaker 11>It really hinges on this definition of what you know.

0:25:01.320 --> 0:25:04.480
<v Speaker 11>The FTC is considering the friends and family sharing social

0:25:04.520 --> 0:25:07.280
<v Speaker 11>networking market, right, So so they're saying, hey, look, there's

0:25:07.280 --> 0:25:09.480
<v Speaker 11>a lot of places you can spend time online. There's

0:25:09.560 --> 0:25:12.240
<v Speaker 11>very few places where you actually go specifically to share

0:25:12.240 --> 0:25:14.679
<v Speaker 11>with your friends and family, and that is where META

0:25:14.800 --> 0:25:15.800
<v Speaker 11>has their monopoly.

0:25:15.840 --> 0:25:17.080
<v Speaker 2>This is the FTC's case.

0:25:17.320 --> 0:25:19.440
<v Speaker 11>Meta, on the other hand, is arguing, hey, wait a minute,

0:25:19.440 --> 0:25:22.919
<v Speaker 11>we have tons of competitors, right. TikTok is a competitor.

0:25:23.280 --> 0:25:28.200
<v Speaker 11>Well's I message is a competitor, obviously, x Elon Musk's

0:25:28.400 --> 0:25:31.360
<v Speaker 11>X and none of those, by the very narrow definition

0:25:31.400 --> 0:25:34.520
<v Speaker 11>that the FTC is going with, are considered competitors. And

0:25:34.560 --> 0:25:37.560
<v Speaker 11>so this is basically a fight to determine what the

0:25:37.720 --> 0:25:41.040
<v Speaker 11>market should be and if you know, the FTC succeeds

0:25:41.040 --> 0:25:43.080
<v Speaker 11>and keeping it very very narrow. They may have a

0:25:43.080 --> 0:25:46.480
<v Speaker 11>good case, but as Facebook has pointed out repeatedly, they

0:25:46.520 --> 0:25:48.680
<v Speaker 11>consider their competition very wide.

0:25:50.040 --> 0:25:52.080
<v Speaker 2>Being bes Kutwagner, who I am sure we will come

0:25:52.119 --> 0:25:55.000
<v Speaker 2>back to multiple times over the course of proceedings. Thank

0:25:55.000 --> 0:25:57.159
<v Speaker 2>you very much. Let's break down more on what the

0:25:57.240 --> 0:26:01.879
<v Speaker 2>FTC's trial against Meta could mean in regulation the future

0:26:01.880 --> 0:26:05.680
<v Speaker 2>of digital markets. Joining us now is Jennifer Huddleston, Technology

0:26:05.920 --> 0:26:09.520
<v Speaker 2>Policy Senior Fellow at the Cato Institute, and as a

0:26:09.560 --> 0:26:13.640
<v Speaker 2>piece of documentary evidence in a trial like this, the

0:26:13.680 --> 0:26:17.639
<v Speaker 2>CEO at the center of it in a letter six

0:26:17.760 --> 0:26:21.080
<v Speaker 2>years ago, seven years ago saying maybe we should spin

0:26:21.160 --> 0:26:25.800
<v Speaker 2>off Instagram. How does that play in this environment? What

0:26:26.040 --> 0:26:29.600
<v Speaker 2>is this environment of antitrust that this trial represents.

0:26:31.680 --> 0:26:34.920
<v Speaker 12>We've seen a lot of animosity towards some of America's

0:26:34.960 --> 0:26:38.320
<v Speaker 12>leading tech companies and this presumption that big is automatically bad.

0:26:38.760 --> 0:26:41.639
<v Speaker 12>One of the key elements of the FTC's case is

0:26:41.680 --> 0:26:45.920
<v Speaker 12>it's basically imagining a world that never existed. It's trying

0:26:45.960 --> 0:26:48.480
<v Speaker 12>to ask for a do overall on an acquisition it

0:26:48.560 --> 0:26:51.760
<v Speaker 12>approved more than a decade ago. And at the same time,

0:26:51.800 --> 0:26:54.520
<v Speaker 12>the social media dynamics have been changing. They were changing

0:26:54.520 --> 0:26:57.600
<v Speaker 12>in twenty eighteen when that letter came about. They were

0:26:57.640 --> 0:27:01.440
<v Speaker 12>also changing more recently with the emergence of the like TikTok.

0:27:01.760 --> 0:27:04.480
<v Speaker 12>We have to remember that at the time Meta acquired

0:27:04.600 --> 0:27:08.320
<v Speaker 12>Instagram and WhatsApp, these were not surefire successes. In fact,

0:27:08.359 --> 0:27:11.439
<v Speaker 12>there were jokes, particularly about the acquisition of Instagram at

0:27:11.480 --> 0:27:13.840
<v Speaker 12>the time, kind of why are they doing this? Why

0:27:13.880 --> 0:27:16.000
<v Speaker 12>are they paying all this money. We don't want to

0:27:16.000 --> 0:27:19.919
<v Speaker 12>see a world where government enforcers penalize businesses for taking

0:27:20.359 --> 0:27:23.240
<v Speaker 12>risky chances that turn out to be good bets and

0:27:23.359 --> 0:27:26.040
<v Speaker 12>turn out to allow more innovation and more benefits for

0:27:26.080 --> 0:27:27.200
<v Speaker 12>consumers in the market.

0:27:29.080 --> 0:27:32.280
<v Speaker 2>This is a trial, and it is contested between the

0:27:32.320 --> 0:27:37.240
<v Speaker 2>FTC and Meta. But we are a few months into

0:27:37.320 --> 0:27:41.560
<v Speaker 2>this new administration. In the White House. Prior to the

0:27:41.560 --> 0:27:45.200
<v Speaker 2>election and after the inauguration of President Trump, many put

0:27:45.240 --> 0:27:50.040
<v Speaker 2>emphasis on Vice President JD. Vance's views on big tech

0:27:50.320 --> 0:27:54.200
<v Speaker 2>and antitrust. How does that context play here in the trial.

0:27:54.280 --> 0:27:58.119
<v Speaker 2>It seems as if this administration will follow through with

0:27:58.200 --> 0:28:01.760
<v Speaker 2>the general attitude towards big tech that the prior administration did.

0:28:03.680 --> 0:28:05.600
<v Speaker 12>If you look at the history of many of these cases,

0:28:05.640 --> 0:28:08.880
<v Speaker 12>many of them began in the first Trump administration. Then

0:28:08.920 --> 0:28:12.959
<v Speaker 12>we saw further gasoline on the fire during the Biden administration,

0:28:13.040 --> 0:28:16.639
<v Speaker 12>particularly under Chair Lena Kahn at the FTC, and this

0:28:16.760 --> 0:28:20.479
<v Speaker 12>real push towards this big as bad mentality. It seems

0:28:20.520 --> 0:28:23.159
<v Speaker 12>like so far, both with the remedies proposed in the

0:28:23.200 --> 0:28:25.359
<v Speaker 12>Google cases as well as with what we're seeing in

0:28:25.359 --> 0:28:29.280
<v Speaker 12>the medic caase, that this administration seems determined to continue

0:28:29.480 --> 0:28:32.600
<v Speaker 12>that shift away from the kind of law and economics,

0:28:32.640 --> 0:28:36.640
<v Speaker 12>consumer welfare based approach to anti trust, to something that

0:28:37.040 --> 0:28:40.880
<v Speaker 12>makes more presumptions about competitors than consumers, and something that

0:28:40.960 --> 0:28:44.719
<v Speaker 12>perhaps is using anti trust enforcement for other policy goals.

0:28:44.840 --> 0:28:45.600
<v Speaker 2>And that should be.

0:28:45.560 --> 0:28:48.840
<v Speaker 12>Concerning because if we lose focus on the consumers whom

0:28:48.920 --> 0:28:53.000
<v Speaker 12>anti trust was designed to protect, we risk losing the

0:28:53.120 --> 0:28:57.000
<v Speaker 12>purpose behind anti trust and making this powerful tool more subjective.

0:28:57.720 --> 0:29:00.520
<v Speaker 2>Jennifer, why would a breakup of Meta in its family

0:29:00.560 --> 0:29:02.320
<v Speaker 2>of apps be bad for the consumer?

0:29:03.960 --> 0:29:05.680
<v Speaker 12>I think that's what's really at the heart that we

0:29:05.760 --> 0:29:08.000
<v Speaker 12>need to remember when it comes to this case. You'd

0:29:08.040 --> 0:29:11.800
<v Speaker 12>lose certain cross functionality that consumers like, but you also

0:29:11.880 --> 0:29:15.560
<v Speaker 12>would have companies with fewer resources to engage in research

0:29:15.880 --> 0:29:19.560
<v Speaker 12>and development technology to engage in rolling out new features

0:29:19.800 --> 0:29:23.320
<v Speaker 12>that consumers want in the time that AI is disrupting things,

0:29:23.600 --> 0:29:25.920
<v Speaker 12>but also fewer resources to do some of the things

0:29:25.920 --> 0:29:30.120
<v Speaker 12>that consumers have expected around things like young people's online safety.

0:29:30.480 --> 0:29:32.960
<v Speaker 12>And finally, you might have companies that have to rely

0:29:33.120 --> 0:29:36.200
<v Speaker 12>more on data and advertisers because they no longer can

0:29:36.240 --> 0:29:39.120
<v Speaker 12>share those resources, and so they would have to actually

0:29:39.200 --> 0:29:42.800
<v Speaker 12>shift more towards using their consumer data and more on

0:29:43.040 --> 0:29:46.719
<v Speaker 12>doing what the advertisers want rather than what their consumers want.

0:29:47.240 --> 0:29:51.280
<v Speaker 2>Jennifer, the core of Meta's argument or defense is that

0:29:51.440 --> 0:29:56.080
<v Speaker 2>the FTC has this narrow definition, but they're misunderstanding the marketplace,

0:29:56.440 --> 0:30:01.440
<v Speaker 2>that Meta's competition is TikTok and that it is you too.

0:30:01.640 --> 0:30:03.720
<v Speaker 2>How successful do you think that defense will be.

0:30:06.320 --> 0:30:09.880
<v Speaker 12>The FDC is seeking a really narrow definition of personal

0:30:09.880 --> 0:30:13.240
<v Speaker 12>friends and family social media networks, which is a definition

0:30:13.320 --> 0:30:16.880
<v Speaker 12>I don't think the average consumer thinks about, and it's

0:30:16.880 --> 0:30:20.400
<v Speaker 12>something that, if it's successful, could potentially lead to larger

0:30:20.400 --> 0:30:24.960
<v Speaker 12>disruptive disruption in the social media marketplace. Not only does

0:30:24.960 --> 0:30:29.080
<v Speaker 12>this definition exclude companies like TikTok that are incredibly popular

0:30:29.080 --> 0:30:33.280
<v Speaker 12>with gen Z, it also excludes other messaging apps like Signal.

0:30:33.560 --> 0:30:37.240
<v Speaker 12>It excludes platforms like Snap that have grown in popularity,

0:30:37.480 --> 0:30:39.760
<v Speaker 12>so it doesn't seem to reflect the experience of the

0:30:39.800 --> 0:30:43.040
<v Speaker 12>average consumer when it comes to social media and messaging,

0:30:43.280 --> 0:30:46.280
<v Speaker 12>let alone when it comes to broader conversations around things

0:30:46.360 --> 0:30:48.680
<v Speaker 12>like advertising or entertainment more generally.

0:30:49.720 --> 0:30:53.200
<v Speaker 2>In your research and your review of policy pending the

0:30:53.240 --> 0:30:57.160
<v Speaker 2>outcome of this trial, do you expect actions against other

0:30:57.200 --> 0:30:58.520
<v Speaker 2>big tech names, and if so.

0:30:58.480 --> 0:31:03.840
<v Speaker 12>Who We have already seen cases against four of America's

0:31:03.920 --> 0:31:06.480
<v Speaker 12>leading tech companies, Google, which is now in a remedy

0:31:06.520 --> 0:31:08.920
<v Speaker 12>phase in one of its case. There are also penning

0:31:08.960 --> 0:31:12.040
<v Speaker 12>cases against Amazon and Apple, and of course this case

0:31:12.320 --> 0:31:15.960
<v Speaker 12>against Facebook and Meta. All of these cases really raise

0:31:16.040 --> 0:31:19.600
<v Speaker 12>concerns about the potential government intervention into what has been

0:31:19.600 --> 0:31:23.200
<v Speaker 12>a very dynamic ecosystem. Not only could these cases have

0:31:23.280 --> 0:31:26.120
<v Speaker 12>consequences for consumers, but there's going to be a question

0:31:26.160 --> 0:31:28.120
<v Speaker 12>as well of what are we missing out on while

0:31:28.160 --> 0:31:32.200
<v Speaker 12>companies spend their time dealing with enforcement actions instead of

0:31:32.200 --> 0:31:35.680
<v Speaker 12>innovating and trying to provide better things for consumers. What

0:31:35.720 --> 0:31:38.800
<v Speaker 12>sort of messages this side to the startup ecosystem.

0:31:39.480 --> 0:31:41.880
<v Speaker 2>Jennifer Alison of the Cato Institute, thank you very much.

0:31:41.920 --> 0:32:00.920
<v Speaker 2>We'll be right back this is Bloomberg Technology. This is

0:32:00.920 --> 0:32:03.120
<v Speaker 2>Bloomberg Technology, and you're looking at a live shot of

0:32:03.160 --> 0:32:06.160
<v Speaker 2>the principal room. Check out the Bloomberg Technology podcast. You

0:32:06.160 --> 0:32:08.320
<v Speaker 2>can find it on the terminal as well as online

0:32:08.320 --> 0:32:22.840
<v Speaker 2>on Apple, Spotify, and iHeart this is Bloomberg. The United

0:32:22.880 --> 0:32:25.800
<v Speaker 2>States will have to make a creative R and D

0:32:25.920 --> 0:32:30.040
<v Speaker 2>push while making quote smart choices with budgets to stay

0:32:30.080 --> 0:32:33.000
<v Speaker 2>ahead in the AI race. Those were the first public

0:32:33.040 --> 0:32:36.520
<v Speaker 2>remarks by Michael Kratzios, Advisor to the President and White

0:32:36.560 --> 0:32:40.000
<v Speaker 2>House Office of Science and Tech Policy Director, since his

0:32:40.080 --> 0:32:43.440
<v Speaker 2>confirmation in March. The main message on strategy for tech

0:32:43.920 --> 0:32:48.200
<v Speaker 2>promote and protect. Mister Gratzios joins us. Now specifically, what

0:32:48.240 --> 0:32:51.040
<v Speaker 2>do you mean by smart choices? This is a time

0:32:51.080 --> 0:32:55.600
<v Speaker 2>where budgets across federal government are being cut. Some tools

0:32:55.600 --> 0:32:59.000
<v Speaker 2>and examples please, mister Grazios, thank you so much for

0:32:59.040 --> 0:33:01.040
<v Speaker 2>having me ed. I think if you zoom out a

0:33:01.080 --> 0:33:01.480
<v Speaker 2>little bit.

0:33:01.560 --> 0:33:03.479
<v Speaker 13>The message that we were trying to share in Austin

0:33:03.480 --> 0:33:05.880
<v Speaker 13>a few days ago was this question of how does

0:33:05.920 --> 0:33:10.120
<v Speaker 13>the US ensure its position as the global leader in

0:33:10.200 --> 0:33:13.160
<v Speaker 13>critical and emerging technologies? And in order to do that,

0:33:13.320 --> 0:33:15.640
<v Speaker 13>you have to do two major things. You have to

0:33:15.680 --> 0:33:19.720
<v Speaker 13>do promotion and protection, and the key pillar of the

0:33:19.760 --> 0:33:23.200
<v Speaker 13>promote agenda is around being more creative in the way

0:33:23.480 --> 0:33:27.240
<v Speaker 13>that we spend fairly funded research and development dollars. For

0:33:27.320 --> 0:33:29.560
<v Speaker 13>far too long, these R and D dollars have been

0:33:29.600 --> 0:33:32.200
<v Speaker 13>spent in the same ways by the same agencies of the.

0:33:32.120 --> 0:33:33.160
<v Speaker 2>Same types of research.

0:33:33.520 --> 0:33:35.520
<v Speaker 13>And there's a lot more that we can do in

0:33:35.800 --> 0:33:40.360
<v Speaker 13>all sorts of things like prizes and challenges, advanced market commitments,

0:33:40.640 --> 0:33:43.520
<v Speaker 13>or even fast track action grants where we can actually

0:33:43.840 --> 0:33:45.920
<v Speaker 13>worry a little bit less about how much and more

0:33:45.960 --> 0:33:49.080
<v Speaker 13>about how we actually deploy these dollars in ways that

0:33:49.120 --> 0:33:52.440
<v Speaker 13>we can ensure we're making in the best discoveries here

0:33:52.480 --> 0:33:54.000
<v Speaker 13>in the United States for years to come.

0:33:54.680 --> 0:33:58.080
<v Speaker 2>We've reported a lot on DOGE that's the context right,

0:33:58.080 --> 0:34:02.320
<v Speaker 2>the work to cut wasting government. But very specifically, mister Kretsios,

0:34:02.720 --> 0:34:06.000
<v Speaker 2>do you call for support an increase in R and

0:34:06.080 --> 0:34:08.719
<v Speaker 2>D budgets? Growth in R and D budgets?

0:34:09.680 --> 0:34:11.400
<v Speaker 13>Again, the most important thing we have to do is

0:34:11.440 --> 0:34:14.280
<v Speaker 13>make sure that we are prioritizing our R and D budgets.

0:34:14.640 --> 0:34:17.440
<v Speaker 13>Spending a lot of money on the wrong things is

0:34:17.520 --> 0:34:20.320
<v Speaker 13>far worse than spending less money on the right things.

0:34:20.840 --> 0:34:22.560
<v Speaker 2>So what we do at the White House.

0:34:22.320 --> 0:34:25.040
<v Speaker 13>In coordination with the Office of Management and Budget, is

0:34:25.080 --> 0:34:28.600
<v Speaker 13>helped set research and development priorities for the country. The

0:34:28.640 --> 0:34:30.959
<v Speaker 13>President spelled these out and a letter that he sent

0:34:30.960 --> 0:34:32.759
<v Speaker 13>to me two weeks ago, and the ones that he

0:34:32.800 --> 0:34:36.960
<v Speaker 13>did call out were artificial intelligence, quantum computing, and nuclear

0:34:37.080 --> 0:34:40.200
<v Speaker 13>to name three. And you can imagine that in future

0:34:40.239 --> 0:34:42.960
<v Speaker 13>budget cycles these areas that we're going to be prioritizing

0:34:43.600 --> 0:34:46.840
<v Speaker 13>because those are key to our national economic security.

0:34:47.840 --> 0:34:53.200
<v Speaker 2>Are those priorities achievable AI leadership from America with the

0:34:53.239 --> 0:34:57.200
<v Speaker 2>tariffs that we have in place and the technology export controls,

0:34:57.719 --> 0:34:59.840
<v Speaker 2>some of which were amplified overnight on the likes of

0:35:00.080 --> 0:35:03.239
<v Speaker 2>and Video and AMD. Absolutely.

0:35:03.280 --> 0:35:05.320
<v Speaker 13>If you think back to the strategy that we discussed

0:35:05.320 --> 0:35:07.719
<v Speaker 13>a couple of days ago, in order to achieve this

0:35:07.800 --> 0:35:11.800
<v Speaker 13>leadership position, we have to do both promotion and protection.

0:35:12.360 --> 0:35:14.120
<v Speaker 13>On the promote side, we talked a little about the

0:35:14.200 --> 0:35:16.320
<v Speaker 13>R and D pillar. The second piece of that is

0:35:16.360 --> 0:35:20.399
<v Speaker 13>around deregulation. For far too long, especially in the last administration,

0:35:20.840 --> 0:35:22.920
<v Speaker 13>you know, a lot of our regulatory policy has been

0:35:23.000 --> 0:35:25.680
<v Speaker 13>driven by the spirit of fear, this idea that we

0:35:25.719 --> 0:35:28.799
<v Speaker 13>should be worried about these emerging technologies, and what the

0:35:28.840 --> 0:35:30.960
<v Speaker 13>President in the White House has said many times is

0:35:31.280 --> 0:35:33.279
<v Speaker 13>we have to make sure that we lead in this

0:35:33.320 --> 0:35:36.680
<v Speaker 13>technology and actually deploy it, and then on the promote

0:35:36.760 --> 0:35:38.840
<v Speaker 13>on the protect side of the equation, we have to

0:35:38.920 --> 0:35:42.280
<v Speaker 13>make sure that we're not giving our adversaries the critical

0:35:42.320 --> 0:35:44.240
<v Speaker 13>tools that could help.

0:35:44.120 --> 0:35:45.839
<v Speaker 2>Them try to catch up to us in this race.

0:35:46.239 --> 0:35:48.960
<v Speaker 13>We know that the PRC is attempting to catch up

0:35:49.000 --> 0:35:51.680
<v Speaker 13>with us and things like artificial intelligence, and there's no

0:35:51.719 --> 0:35:55.000
<v Speaker 13>reason why we should be helping them do so. So

0:35:55.040 --> 0:35:57.360
<v Speaker 13>that's why in order to kind of achieve this US

0:35:57.400 --> 0:36:01.799
<v Speaker 13>position of leadership in artificial intelligence and other emerging technologies,

0:36:02.040 --> 0:36:04.920
<v Speaker 13>you have to have a balanced promotion and protection agenda.

0:36:06.040 --> 0:36:08.560
<v Speaker 2>In Nvidia and AMD now face the situation where they

0:36:08.600 --> 0:36:11.160
<v Speaker 2>have to apply for licenses to be able to explore

0:36:11.360 --> 0:36:14.600
<v Speaker 2>H twenty and I THREEH eight to China, and the

0:36:14.640 --> 0:36:18.040
<v Speaker 2>administration's argument was they could end up in supercomputers. The

0:36:18.080 --> 0:36:21.719
<v Speaker 2>company's argument is these are much lower performance, and one

0:36:21.880 --> 0:36:25.000
<v Speaker 2>idea is that if they haven't got access to American technology,

0:36:25.440 --> 0:36:28.960
<v Speaker 2>China will simply champion a domestic name. Huawei has a

0:36:29.000 --> 0:36:33.319
<v Speaker 2>similar ACCE accelerator. How will you advise the President on

0:36:33.360 --> 0:36:36.359
<v Speaker 2>whether or not AMD and Nvidia should be granted those

0:36:36.440 --> 0:36:40.360
<v Speaker 2>license to export lower performance accelerators to China.

0:36:41.719 --> 0:36:44.600
<v Speaker 13>Yeah, I'm not going to opine on the specifics there,

0:36:44.640 --> 0:36:47.120
<v Speaker 13>but I will say that there has been a track

0:36:47.200 --> 0:36:49.640
<v Speaker 13>record of a wide variety of chips being used to

0:36:49.760 --> 0:36:54.200
<v Speaker 13>drive the development and training of what are almost frontier

0:36:54.320 --> 0:36:58.560
<v Speaker 13>level open source models by companies within the PRC, And

0:36:58.640 --> 0:37:02.440
<v Speaker 13>as we think about our protect agenda, it's critical that

0:37:02.480 --> 0:37:07.000
<v Speaker 13>we develop an export control regime that is simple and

0:37:07.080 --> 0:37:11.120
<v Speaker 13>clear and is one that we enforce very very strongly.

0:37:13.000 --> 0:37:16.440
<v Speaker 2>One of the elements of PROMOTE is to bring manufacturing

0:37:16.480 --> 0:37:20.399
<v Speaker 2>of lead edge chips and assembling of compute systems to America, Right,

0:37:20.400 --> 0:37:23.560
<v Speaker 2>mister Crassios and ASML is in the splotlight as an

0:37:23.600 --> 0:37:27.959
<v Speaker 2>example because of its earnings report overnight, with this administration,

0:37:28.760 --> 0:37:33.480
<v Speaker 2>consider an exemption of tariffs on the leading chip equipment

0:37:33.560 --> 0:37:36.120
<v Speaker 2>maker in order that they might be able to do

0:37:36.160 --> 0:37:38.640
<v Speaker 2>that bring more of their activity to the United States.

0:37:39.960 --> 0:37:42.560
<v Speaker 13>Again, I can't oppine on specifics, but I think what

0:37:42.600 --> 0:37:45.680
<v Speaker 13>we saw from the news last week on in Nvidia,

0:37:46.320 --> 0:37:49.719
<v Speaker 13>there is a continual effort and we see that from

0:37:49.760 --> 0:37:52.800
<v Speaker 13>all around the world of people wanting to bring manufacturing

0:37:52.880 --> 0:37:56.799
<v Speaker 13>and these core sort of bleeding edge technologies back here

0:37:56.800 --> 0:37:59.160
<v Speaker 13>to the United States. And that's something that the White

0:37:59.160 --> 0:38:00.640
<v Speaker 13>House is very proud of and something that we have

0:38:00.719 --> 0:38:04.160
<v Speaker 13>seen across industry. The policies that the President in our

0:38:04.200 --> 0:38:08.240
<v Speaker 13>trade team have implemented is one that is actually proving true.

0:38:08.280 --> 0:38:10.040
<v Speaker 13>And just a few short days we've had so many

0:38:10.040 --> 0:38:13.960
<v Speaker 13>great announcements about companies coming here to build and manufacture

0:38:14.000 --> 0:38:16.759
<v Speaker 13>these critical technologies in the US, and I suspect that

0:38:16.800 --> 0:38:18.440
<v Speaker 13>we'll be seeing a lot more of those in the

0:38:18.480 --> 0:38:19.359
<v Speaker 13>months in.

0:38:19.320 --> 0:38:24.600
<v Speaker 2>Weeks ahead, there is some confrontation between the administration and

0:38:25.200 --> 0:38:30.040
<v Speaker 2>leading academic and research institutions. Harvard is an example. How

0:38:30.120 --> 0:38:35.160
<v Speaker 2>does the potential of cutting budgets at institutions like that

0:38:35.640 --> 0:38:39.480
<v Speaker 2>impact America's competitiveness in the field of research. I reflect

0:38:39.560 --> 0:38:44.040
<v Speaker 2>on Jensen Wong's comments. I believe in March at GtC

0:38:44.200 --> 0:38:46.920
<v Speaker 2>that well more than fifty percent of the AI research

0:38:46.960 --> 0:38:49.920
<v Speaker 2>is either being done in China or by Chinese nationals,

0:38:50.520 --> 0:38:53.720
<v Speaker 2>and yet here in America we have some debate about

0:38:53.840 --> 0:38:55.400
<v Speaker 2>funding for these institutions.

0:38:56.880 --> 0:38:59.520
<v Speaker 13>Yeah, I want to make sure we don't necessarily conflate

0:38:59.600 --> 0:39:02.360
<v Speaker 13>to such issues. To me, I don't think this is

0:39:02.440 --> 0:39:07.480
<v Speaker 13>particularly hard. There is no reason why we should be

0:39:07.719 --> 0:39:12.400
<v Speaker 13>supporting anti semitism on college campuses or tolerate that. I

0:39:12.440 --> 0:39:16.160
<v Speaker 13>think we can be intolerant of anti semitism on university

0:39:16.280 --> 0:39:21.120
<v Speaker 13>campuses and also support the academic research enterprise. Those two

0:39:21.120 --> 0:39:25.120
<v Speaker 13>things can happen simultaneously. And I think first and foremost

0:39:25.200 --> 0:39:28.400
<v Speaker 13>these universities think very carefully about about Title six, and

0:39:28.440 --> 0:39:31.720
<v Speaker 13>I leave that to the DOJ and to DOE Department

0:39:31.719 --> 0:39:32.560
<v Speaker 13>of Education.

0:39:32.320 --> 0:39:32.920
<v Speaker 2>To think about.

0:39:33.200 --> 0:39:36.600
<v Speaker 13>On my end, and what I've advocated very strongly is

0:39:36.920 --> 0:39:40.720
<v Speaker 13>we continue to need great universities to work on basic

0:39:41.120 --> 0:39:45.360
<v Speaker 13>research that has funded and fueled or innovation ecosystem for decades,

0:39:45.600 --> 0:39:47.480
<v Speaker 13>and that's something the White House will continue to advocate

0:39:47.560 --> 0:39:49.640
<v Speaker 13>for well. At the same time, we can never stand

0:39:49.680 --> 0:39:52.200
<v Speaker 13>for anti semitism on our university campuses.

0:39:53.480 --> 0:39:56.320
<v Speaker 2>Mister Kretzios. Is part of your offices request for information,

0:39:56.440 --> 0:40:01.520
<v Speaker 2>several AI companies submitted responses to you, you asking basically

0:40:01.600 --> 0:40:06.440
<v Speaker 2>to preserve their ability to learn from copyrighted material. We're

0:40:06.480 --> 0:40:10.920
<v Speaker 2>talking about those training frontier models, foundation models, very simple

0:40:11.000 --> 0:40:15.239
<v Speaker 2>yes or no if you will. Is copyright reform on

0:40:15.280 --> 0:40:18.320
<v Speaker 2>the table as part of this President's AI action plan

0:40:18.360 --> 0:40:20.560
<v Speaker 2>and how would you advise him on that? Please?

0:40:21.560 --> 0:40:23.759
<v Speaker 13>Yeah, we were so delighted with how many responses we

0:40:23.840 --> 0:40:27.120
<v Speaker 13>got to the I Action Plan RFI. I think in

0:40:27.160 --> 0:40:29.279
<v Speaker 13>the coming days we'll hopefully be able to release all

0:40:29.320 --> 0:40:32.040
<v Speaker 13>of those responses. It was many, many thousands, and it

0:40:32.160 --> 0:40:35.799
<v Speaker 13>just showed how far and wide the community is that

0:40:36.640 --> 0:40:39.640
<v Speaker 13>wants to think about and help shape the national agenda

0:40:39.680 --> 0:40:42.520
<v Speaker 13>for artificial intelligence. And obviously copyright is going to be

0:40:42.560 --> 0:40:45.799
<v Speaker 13>one of the issues that many people commented on over

0:40:45.800 --> 0:40:46.880
<v Speaker 13>the last few months.

0:40:47.640 --> 0:40:51.960
<v Speaker 2>Mister Christio's copyright reform yes or no again. I think

0:40:52.000 --> 0:40:53.320
<v Speaker 2>we could not be more.

0:40:53.160 --> 0:40:56.600
<v Speaker 13>Thrilled with how many people commented on all sorts and

0:40:56.640 --> 0:40:59.359
<v Speaker 13>all facets of the AI agenda, And this is one

0:40:59.400 --> 0:41:02.120
<v Speaker 13>that we had a lot of commenters send us some

0:41:02.520 --> 0:41:04.160
<v Speaker 13>very interesting and detailed thoughts on.

0:41:05.200 --> 0:41:08.080
<v Speaker 2>The President has spoken with admiration about Jensen Wong and

0:41:08.120 --> 0:41:12.239
<v Speaker 2>in Nvidia's leadership. Just as our audience Boombog Technology gets

0:41:12.280 --> 0:41:14.239
<v Speaker 2>to know you, mister Kratzios and your work in the

0:41:14.239 --> 0:41:16.800
<v Speaker 2>White House, Have you had the opportunity to meet with

0:41:16.880 --> 0:41:20.279
<v Speaker 2>Jensen Wong and his peers about what they plan to

0:41:20.320 --> 0:41:23.239
<v Speaker 2>do in America and also critical markets for them. Which

0:41:23.239 --> 0:41:26.319
<v Speaker 2>once included China. I have yeah.

0:41:26.360 --> 0:41:29.160
<v Speaker 13>In the first two weeks after my confirmation, I had

0:41:29.160 --> 0:41:32.279
<v Speaker 13>the opportunity to meet with most of the leading technology

0:41:33.080 --> 0:41:35.719
<v Speaker 13>industry CEOs and chat with them about how we can

0:41:35.880 --> 0:41:38.960
<v Speaker 13>together usher in this golden age of American innovation that

0:41:39.080 --> 0:41:43.200
<v Speaker 13>the President has called for. With Jensen specifically, he's a

0:41:43.200 --> 0:41:45.480
<v Speaker 13>tremendous thinker, and one of the great things that we

0:41:45.600 --> 0:41:48.719
<v Speaker 13>connected on is the question of AI for science. There's

0:41:48.760 --> 0:41:51.480
<v Speaker 13>been this almost this extreme fixation on thinking about the

0:41:51.920 --> 0:41:55.480
<v Speaker 13>protect side of the agenda when it comes to specific semiconductors.

0:41:55.960 --> 0:41:58.560
<v Speaker 13>But I think another equally more and maybe even more

0:41:58.560 --> 0:42:01.239
<v Speaker 13>important part of the are the problems we face ahead

0:42:01.280 --> 0:42:04.000
<v Speaker 13>of us and our challenges is how can we actually

0:42:04.040 --> 0:42:08.240
<v Speaker 13>implement this technology to drive transformational change for the American people.

0:42:08.560 --> 0:42:10.359
<v Speaker 2>And Jensen and Nvidia he.

0:42:10.400 --> 0:42:14.200
<v Speaker 13>Was extraordinarily excited to help us think through and see

0:42:14.200 --> 0:42:17.720
<v Speaker 13>what we can do more on driving scientific discoveries through AI.

0:42:17.880 --> 0:42:20.839
<v Speaker 13>And it's something that I will be encouraging Secretary right

0:42:20.880 --> 0:42:23.880
<v Speaker 13>with our labs and punch at National Science Foundations so

0:42:23.920 --> 0:42:26.160
<v Speaker 13>many of our other leaders to stick more seriously because

0:42:26.160 --> 0:42:26.879
<v Speaker 13>we have to do better.

0:42:28.239 --> 0:42:31.600
<v Speaker 2>Michael Kratzio's White House Office of Science and Tech Policy Director,

0:42:31.920 --> 0:42:35.280
<v Speaker 2>Thank you, look forward to speaking more over the coming years. Okay,

0:42:35.360 --> 0:42:38.840
<v Speaker 2>I mentioned ASML shares trading significantly lower, the company posting

0:42:39.120 --> 0:42:42.080
<v Speaker 2>a sales miss that was almost a billion euros less

0:42:42.120 --> 0:42:44.840
<v Speaker 2>than expected. Per Fareger of New Street Research, head of

0:42:44.840 --> 0:42:48.319
<v Speaker 2>Global Tech Infrastructure is with us. There are people out there, Pierre,

0:42:48.520 --> 0:42:50.399
<v Speaker 2>and it's good to see you again that a bit

0:42:50.440 --> 0:42:53.960
<v Speaker 2>more sanguine. Right, Orders can be lumpy, But the thing

0:42:54.040 --> 0:42:59.360
<v Speaker 2>that's spooky to many is the inability to quantify tariff impact.

0:42:59.560 --> 0:43:03.680
<v Speaker 2>How are you modeling for that in ASML's case. Yeah,

0:43:03.680 --> 0:43:04.680
<v Speaker 2>I think you're making a good point.

0:43:04.760 --> 0:43:08.040
<v Speaker 14>The way I modeled it is by actually modeling orders

0:43:08.080 --> 0:43:10.520
<v Speaker 14>coming down in the nearter, Because while you're not too

0:43:10.520 --> 0:43:14.600
<v Speaker 14>certain bout tariffs in some industries, you could see people

0:43:14.680 --> 0:43:17.520
<v Speaker 14>like front loading orders before time it gets into place.

0:43:18.360 --> 0:43:22.040
<v Speaker 14>Doesn't work very well with these very large pieces of equipment.

0:43:22.080 --> 0:43:24.200
<v Speaker 14>And then the second approach is to actually wait and

0:43:24.280 --> 0:43:29.960
<v Speaker 14>see and be more careful in the long run. Modeling

0:43:30.080 --> 0:43:33.600
<v Speaker 14>like tariffs requires you to take a view on what

0:43:33.640 --> 0:43:35.640
<v Speaker 14>the tariffs are here for. You know what the US

0:43:35.719 --> 0:43:38.839
<v Speaker 14>administration want to do with these tariffs, and so if

0:43:38.840 --> 0:43:42.520
<v Speaker 14>you listen to them. You know, they want to encourage

0:43:42.800 --> 0:43:46.719
<v Speaker 14>changes in behavior with straight partners. They want to bring

0:43:46.840 --> 0:43:52.799
<v Speaker 14>back to the US or to reliable partners manufacturing, and

0:43:52.800 --> 0:43:56.600
<v Speaker 14>they want to create additional revenues. And if you put

0:43:56.760 --> 0:44:00.640
<v Speaker 14>that into into motion around SEMITAP equipments, what you see

0:44:00.680 --> 0:44:03.719
<v Speaker 14>is that none of these objectives are going to go

0:44:03.840 --> 0:44:07.799
<v Speaker 14>against the ability for the US to build actually the

0:44:07.840 --> 0:44:11.279
<v Speaker 14>AI infrastructure and to continue to, let you know, the

0:44:11.320 --> 0:44:16.200
<v Speaker 14>manufacturing of leading h semiconductors like memory chips and logic chips.

0:44:16.960 --> 0:44:19.480
<v Speaker 2>Yes, as they built up in the US.

0:44:19.280 --> 0:44:21.880
<v Speaker 14>You still need to continue to have like technology advancing

0:44:21.920 --> 0:44:24.520
<v Speaker 14>everywhere in the world. So I'm not too worried about

0:44:24.560 --> 0:44:27.280
<v Speaker 14>the impact of tariff's on SEMITAP equipments.

0:44:28.000 --> 0:44:30.680
<v Speaker 2>You heard mister Kratziosk decline to answer my question on

0:44:30.719 --> 0:44:34.120
<v Speaker 2>whether there would be an exemption for chip equipment makers,

0:44:35.000 --> 0:44:38.520
<v Speaker 2>but mister Fouquet was very clear, we will assemble in

0:44:38.560 --> 0:44:41.960
<v Speaker 2>the Netherlands. Does the administration have a say on what

0:44:42.040 --> 0:44:43.840
<v Speaker 2>a SML does in this case, Pierre.

0:44:46.280 --> 0:44:48.520
<v Speaker 14>They definitely have a say. I think if they if

0:44:48.520 --> 0:44:51.080
<v Speaker 14>they give a phone call, the phone call will be

0:44:51.480 --> 0:44:56.600
<v Speaker 14>will be taken. The specifics of ASML tools is that

0:44:56.680 --> 0:45:00.160
<v Speaker 14>it's very unlikely to see like the final assembly of

0:45:00.160 --> 0:45:03.960
<v Speaker 14>these tools moving away from the Netherlands. The same way

0:45:04.400 --> 0:45:06.759
<v Speaker 14>it's very unlikely to see like the most leading edge

0:45:06.760 --> 0:45:12.239
<v Speaker 14>manufacturing node of TSMC moving away from from Taiwan. Is

0:45:12.280 --> 0:45:16.359
<v Speaker 14>probably like a hard limit that cannot be surpassed. Now,

0:45:16.760 --> 0:45:20.320
<v Speaker 14>what must said as well is that you know, increasing

0:45:20.400 --> 0:45:23.120
<v Speaker 14>the amount of manufacturing done in the US, which is

0:45:23.160 --> 0:45:26.680
<v Speaker 14>already very significant. Yes, where I live, you you already

0:45:26.719 --> 0:45:30.799
<v Speaker 14>have like very critical stages that have been manufactured, Like

0:45:30.840 --> 0:45:33.760
<v Speaker 14>the light source, which is the most critical piece of

0:45:33.560 --> 0:45:36.800
<v Speaker 14>the IVY tool, is manufactured in the US, and seeing

0:45:36.840 --> 0:45:40.960
<v Speaker 14>that going up is a possibility. Like changing like the

0:45:41.040 --> 0:45:45.319
<v Speaker 14>final assembly of these tools is yes, probably probably a

0:45:45.360 --> 0:45:48.320
<v Speaker 14>stype and particularly in practical terms, not doable.

0:45:48.640 --> 0:45:51.799
<v Speaker 2>Right PF Faeryg of New Street Research. Good to catch

0:45:51.880 --> 0:45:54.239
<v Speaker 2>up have you back here on Bloomberg Technology. But that

0:45:54.360 --> 0:45:57.400
<v Speaker 2>does it for this edition of Bloomberg Technology. A huge

0:45:57.400 --> 0:45:59.799
<v Speaker 2>thanks to those of you that submitted questions for some

0:45:59.880 --> 0:46:02.400
<v Speaker 2>of our key interviews throughout the hour. There is a

0:46:02.400 --> 0:46:04.400
<v Speaker 2>lot to recap. Don't forget to check out the podcast.

0:46:04.440 --> 0:46:06.560
<v Speaker 2>You know where to find it on the Bloomberg terminal

0:46:06.560 --> 0:46:11.160
<v Speaker 2>as well as online on Apple, Spotify, and iHeart. What

0:46:11.320 --> 0:46:17.640
<v Speaker 2>a week from San Francisco. This is Bloomberg technology