WEBVTT - Arm's IPO and Dell Shares Soar

0:00:01.240 --> 0:00:01.960
<v Speaker 1>From Mahard.

0:00:02.120 --> 0:00:06.520
<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

0:00:06.880 --> 0:00:11.399
<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

0:00:25.239 --> 0:00:28.280
<v Speaker 3>Ahmed Ludlow in San Francisco. Caroline hides off today. This

0:00:28.560 --> 0:00:31.840
<v Speaker 3>is Bloomberg Technology coming up on the program. ARM prepares

0:00:31.880 --> 0:00:34.520
<v Speaker 3>for its IPO with a roadshow slated for next week.

0:00:34.720 --> 0:00:37.600
<v Speaker 3>We'll discuss with our team, and we also speak to

0:00:37.640 --> 0:00:41.320
<v Speaker 3>Ross Gerber of Gerber Kawasaki Plus full earnings coverage ahead.

0:00:41.360 --> 0:00:44.400
<v Speaker 3>Dell saurs to a record high on a PC recovery,

0:00:44.680 --> 0:00:48.880
<v Speaker 3>while broadcons slumps amid a disappointing forecast. We talk AI

0:00:49.360 --> 0:00:52.839
<v Speaker 3>in earnings, and Tesla ravamps the Model three and slashes

0:00:52.880 --> 0:00:55.880
<v Speaker 3>pricing for its premium vehicles in an all out push

0:00:56.080 --> 0:00:59.480
<v Speaker 3>to boost sales. Will bring you those details one future

0:00:59.480 --> 0:01:02.200
<v Speaker 3>company that they end up in public markets ARM. It's

0:01:02.240 --> 0:01:04.880
<v Speaker 3>one of the most anticipated stock listings of the year

0:01:05.120 --> 0:01:07.560
<v Speaker 3>and now ARMS looking to set a date for its

0:01:07.600 --> 0:01:10.560
<v Speaker 3>IPO with a roadshow kicking off after the Labor Day

0:01:10.560 --> 0:01:14.600
<v Speaker 3>holiday in the US. With the latest details, Bloomberg's Leanna Blaker,

0:01:14.840 --> 0:01:17.080
<v Speaker 3>who leads M and A coverage for US. Okay, so

0:01:17.120 --> 0:01:19.240
<v Speaker 3>I think we have a date for pricing and the roadshow.

0:01:19.240 --> 0:01:19.679
<v Speaker 1>What do we know?

0:01:19.880 --> 0:01:22.560
<v Speaker 4>So the date is going to be September thirteenth for

0:01:22.760 --> 0:01:25.480
<v Speaker 4>the pricing of the ipeo, that's the actual IPO, but

0:01:25.600 --> 0:01:28.399
<v Speaker 4>trading isn't expected to start until the next day, which

0:01:28.440 --> 0:01:31.000
<v Speaker 4>is September fourteenth. So this is right around the corner.

0:01:31.360 --> 0:01:34.720
<v Speaker 4>And while ARM is aiming to list on those dates,

0:01:34.840 --> 0:01:38.640
<v Speaker 4>it could always move. The timeline for IPOs is always

0:01:38.720 --> 0:01:42.360
<v Speaker 4>uncertain and it really depends on how meetings with investors go.

0:01:42.520 --> 0:01:45.800
<v Speaker 4>Those meetings will start next week when the road show launches.

0:01:46.000 --> 0:01:49.720
<v Speaker 4>The first signal of the roadshow launching will be early Tuesday.

0:01:49.760 --> 0:01:52.560
<v Speaker 4>We're expecting a filing to come out for ARMED to

0:01:52.760 --> 0:01:55.800
<v Speaker 4>update its perspectives, and it'll publish for the first time

0:01:55.880 --> 0:01:58.640
<v Speaker 4>a price range of where they'll be marketing shares.

0:02:00.120 --> 0:02:02.440
<v Speaker 3>We talk on Blue Bow Technology about ARM is kind

0:02:02.440 --> 0:02:07.400
<v Speaker 3>of the starting gun for a series of technology IPOs

0:02:07.440 --> 0:02:11.400
<v Speaker 3>that we're anticipating. But also the size and scope of

0:02:11.440 --> 0:02:13.880
<v Speaker 3>this is important. What are the numbers that we think

0:02:13.919 --> 0:02:15.919
<v Speaker 3>in terms of money being raised in valuation?

0:02:17.120 --> 0:02:19.919
<v Speaker 4>We reported yesterday for the first time that Soft Bank

0:02:20.120 --> 0:02:22.240
<v Speaker 4>is sort of scaling back how much they're going to

0:02:22.320 --> 0:02:25.160
<v Speaker 4>raise this isn't because of the prospects of the company.

0:02:25.240 --> 0:02:28.200
<v Speaker 4>In fact, they're very bullish on the company. And Matt

0:02:28.200 --> 0:02:31.520
<v Speaker 4>sayoshis the SoftBank CEO, does not want to part with

0:02:31.600 --> 0:02:34.800
<v Speaker 4>more than ten percent of ARM. They one hundred percent

0:02:34.840 --> 0:02:37.720
<v Speaker 4>of ARM. And originally the Vision Fund, which you might

0:02:37.760 --> 0:02:40.520
<v Speaker 4>remember is that vicious fund that lost a lot of

0:02:40.520 --> 0:02:43.359
<v Speaker 4>money through the startupfents. They had owned twenty five percent

0:02:43.400 --> 0:02:47.040
<v Speaker 4>stake in ARM. Recently that steak was sold back to Saftbank.

0:02:47.120 --> 0:02:49.519
<v Speaker 4>So because the Vision Fund is no longer a seller

0:02:49.520 --> 0:02:51.480
<v Speaker 4>in this IPO, they were expected to be a seller,

0:02:51.520 --> 0:02:53.880
<v Speaker 4>but they no longer are, soft Bank to hold on

0:02:53.919 --> 0:02:57.160
<v Speaker 4>score shares. So for that reason, ARM is going to

0:02:57.320 --> 0:03:00.880
<v Speaker 4>raise potentially between five and seven billion, which is lower

0:03:00.919 --> 0:03:03.160
<v Speaker 4>than the amount we originally published, which was eight to

0:03:03.240 --> 0:03:07.080
<v Speaker 4>ten billion. So it's a bit complicated, but the main

0:03:07.120 --> 0:03:09.480
<v Speaker 4>point is that SoftBank is going to cash out here

0:03:09.600 --> 0:03:11.320
<v Speaker 4>with a lot of proceeds, but not as much as

0:03:11.320 --> 0:03:12.239
<v Speaker 4>we originally thought.

0:03:13.280 --> 0:03:15.240
<v Speaker 3>It is complicated, but it is the one that we

0:03:15.280 --> 0:03:18.560
<v Speaker 3>are watching in the world of technology. Bloombos Leanna Baker

0:03:18.600 --> 0:03:20.760
<v Speaker 3>giving us all of the latest details and after this

0:03:20.840 --> 0:03:23.400
<v Speaker 3>long weekend here in the US, we are waiting for

0:03:23.480 --> 0:03:26.799
<v Speaker 3>some movement on arm right. Joining us next Ross GERBA, President,

0:03:27.080 --> 0:03:31.240
<v Speaker 3>CEO and co founder of Gerber Kawasaki. Ross is you

0:03:31.240 --> 0:03:34.200
<v Speaker 3>and I were talking off camera an astonishingly busy week.

0:03:34.880 --> 0:03:36.680
<v Speaker 3>I want to start on that job's data, and we

0:03:36.720 --> 0:03:41.360
<v Speaker 3>always frame it as such, jobs data. What will the

0:03:41.400 --> 0:03:44.200
<v Speaker 3>FED do and how does that impact the technology sector?

0:03:44.920 --> 0:03:46.560
<v Speaker 1>Was your reaction to the numbers this morning?

0:03:47.560 --> 0:03:49.800
<v Speaker 2>Well, you know, I still I've been saying this for

0:03:49.840 --> 0:03:53.200
<v Speaker 2>so long. The FED is done. I mean, all they're

0:03:53.240 --> 0:03:56.800
<v Speaker 2>going to do is create more imbalances in our economy

0:03:57.080 --> 0:04:01.160
<v Speaker 2>by really attacking just a few industries That's all rates do.

0:04:01.920 --> 0:04:03.760
<v Speaker 2>And when you look at what's happening with housing in

0:04:03.800 --> 0:04:06.640
<v Speaker 2>the banking sector and the risks of the FED continuing

0:04:06.680 --> 0:04:09.880
<v Speaker 2>to raise rates and the tremendous losses the FED is

0:04:09.960 --> 0:04:13.360
<v Speaker 2>now taking on its own portfolio that the taxpayers are paying,

0:04:13.760 --> 0:04:16.560
<v Speaker 2>you know, it really doesn't make sense. All the numbers

0:04:16.600 --> 0:04:19.440
<v Speaker 2>are trending in the right direction. We have completely restrictive

0:04:19.520 --> 0:04:23.159
<v Speaker 2>rates right now. Businesses can't borrow, individuals can't buy houses.

0:04:23.200 --> 0:04:25.760
<v Speaker 2>They're having kids that can't move up. You know, it's

0:04:25.760 --> 0:04:28.760
<v Speaker 2>certainly affecting the economy, and many companies are done hiring.

0:04:29.080 --> 0:04:31.640
<v Speaker 2>You know, they're just done hiring for now, and so

0:04:32.160 --> 0:04:32.920
<v Speaker 2>we're seeing a.

0:04:32.920 --> 0:04:33.920
<v Speaker 1>Very good environment.

0:04:33.960 --> 0:04:36.760
<v Speaker 2>If the FED just lays off right here and lets

0:04:36.800 --> 0:04:39.720
<v Speaker 2>things work itself out, I think the next move is

0:04:39.760 --> 0:04:41.000
<v Speaker 2>lower for the FED next year.

0:04:41.839 --> 0:04:42.400
<v Speaker 1>You know, Russ.

0:04:42.560 --> 0:04:45.960
<v Speaker 3>The story of twenty twenty three has been artificial intelligence

0:04:46.080 --> 0:04:48.960
<v Speaker 3>driving this equity market higher. And there are specific names

0:04:48.960 --> 0:04:51.640
<v Speaker 3>you and I will get into, but the Fed's always

0:04:51.640 --> 0:04:55.040
<v Speaker 3>been there in the background. When you're assessing your investment

0:04:55.080 --> 0:04:58.480
<v Speaker 3>priorities and investment thesis, which are you focused on more

0:04:58.839 --> 0:05:03.280
<v Speaker 3>the opportunity and all the impacts of higher rates on valuations.

0:05:04.520 --> 0:05:09.440
<v Speaker 2>Well, you've got two really competing forces here, with rates

0:05:09.480 --> 0:05:12.239
<v Speaker 2>being super attractive. Like clients coming in to our firm,

0:05:12.320 --> 0:05:14.039
<v Speaker 2>you know, it's very easy for me to make them

0:05:14.080 --> 0:05:17.360
<v Speaker 2>five six seven eight percent by buying bonds, and from

0:05:17.360 --> 0:05:19.400
<v Speaker 2>any clients, that's the return they're shooting for.

0:05:19.480 --> 0:05:20.480
<v Speaker 1>So it's kind of.

0:05:20.440 --> 0:05:23.479
<v Speaker 2>Great if you're conservative and older and we haven't seen

0:05:23.560 --> 0:05:25.600
<v Speaker 2>rates like this in over twenty years. But on the

0:05:25.640 --> 0:05:28.240
<v Speaker 2>other hand, the maximum return I see making on these

0:05:28.240 --> 0:05:31.000
<v Speaker 2>bonds is let's say five six seven eight percent right

0:05:31.480 --> 0:05:34.320
<v Speaker 2>where equity is over the long term of average ten

0:05:34.360 --> 0:05:36.360
<v Speaker 2>percent a year in the s and P five hundred,

0:05:36.640 --> 0:05:39.480
<v Speaker 2>where if we own the NASTAC small caps or things

0:05:39.520 --> 0:05:41.919
<v Speaker 2>like my fund GK, which are really growth oriented and

0:05:41.960 --> 0:05:45.160
<v Speaker 2>concentrated funds, we can expect much higher rates to return.

0:05:45.440 --> 0:05:47.680
<v Speaker 2>So if the Feds at the top of the rate

0:05:47.760 --> 0:05:51.839
<v Speaker 2>raising cycle and we've already valued in this effect on

0:05:52.160 --> 0:05:55.560
<v Speaker 2>you know, the market and valuations and the next really

0:05:55.600 --> 0:05:57.880
<v Speaker 2>move for rates or to stay the same or lower.

0:05:58.200 --> 0:06:00.880
<v Speaker 2>We expect, you know, earning will drive the.

0:06:00.839 --> 0:06:02.960
<v Speaker 1>Next move in markets. It's not going to be like

0:06:03.000 --> 0:06:04.479
<v Speaker 1>a Pe expansion.

0:06:04.560 --> 0:06:06.680
<v Speaker 2>And I think that's what investors have to understand for

0:06:06.720 --> 0:06:10.480
<v Speaker 2>the market to move higher, earnings asked to move higher,

0:06:10.600 --> 0:06:12.840
<v Speaker 2>and same with individual securities as well.

0:06:13.480 --> 0:06:15.240
<v Speaker 3>All right, Ross, let's go from the macro to the

0:06:15.279 --> 0:06:16.840
<v Speaker 3>micro and have a bit of fun. I want to

0:06:16.880 --> 0:06:18.800
<v Speaker 3>talk to you about in Nvidia. You've had a lot

0:06:18.839 --> 0:06:23.520
<v Speaker 3>to say about that name and in particular its associational

0:06:23.600 --> 0:06:26.280
<v Speaker 3>relevance to Tesla and a comparison between the two.

0:06:26.400 --> 0:06:27.640
<v Speaker 1>Take it away was your thesis?

0:06:28.640 --> 0:06:32.560
<v Speaker 2>So my thesis is that Tesla and Autonomy was where

0:06:32.640 --> 0:06:35.800
<v Speaker 2>in Nvidia and Tesla originally met. So Tesla used to

0:06:35.920 --> 0:06:38.680
<v Speaker 2>use video chips and building their autonomy systems and the

0:06:38.720 --> 0:06:41.800
<v Speaker 2>model less back in the day, and Tesla started making

0:06:41.920 --> 0:06:44.360
<v Speaker 2>their own chips, are designing their own chips because in

0:06:44.440 --> 0:06:47.360
<v Speaker 2>Video is like, we're not going to design GPUs specifically

0:06:47.400 --> 0:06:49.440
<v Speaker 2>for Tesla, so Tesla's like, all right, we'll do it.

0:06:49.800 --> 0:06:52.880
<v Speaker 2>So over the years, the two companies have, you know,

0:06:52.960 --> 0:06:57.400
<v Speaker 2>really not competed, but continued to develop hardware and software

0:06:57.720 --> 0:07:01.640
<v Speaker 2>for autonomy. And with that, many of the in Vidio

0:07:01.720 --> 0:07:05.040
<v Speaker 2>GPUs were used in crypto and then cloud and now AI.

0:07:05.480 --> 0:07:08.280
<v Speaker 2>So for the first time we see a convergence of

0:07:08.480 --> 0:07:12.280
<v Speaker 2>actual applications, which is gener of AI, check GPT and

0:07:12.320 --> 0:07:15.800
<v Speaker 2>then autonomy full self driving, and we have these applications

0:07:16.040 --> 0:07:19.960
<v Speaker 2>and it's just driven this massive investment from all the

0:07:20.000 --> 0:07:23.840
<v Speaker 2>major tech companies to upgrade their databases and their systems

0:07:24.040 --> 0:07:25.080
<v Speaker 2>to being intelligent.

0:07:25.280 --> 0:07:27.440
<v Speaker 1>And they have to buy in Vidia chips to do this.

0:07:27.600 --> 0:07:31.880
<v Speaker 2>So I think both companies represent the best of American innovation,

0:07:32.320 --> 0:07:36.480
<v Speaker 2>technology and opportunity over the next decade. So boy, I'm

0:07:36.520 --> 0:07:38.960
<v Speaker 2>super bullish on these two companies. There are two of

0:07:39.000 --> 0:07:41.800
<v Speaker 2>my top three holdings in my fun GK, and I

0:07:41.800 --> 0:07:45.040
<v Speaker 2>think investors, even though these valuations are very high, have

0:07:45.120 --> 0:07:46.840
<v Speaker 2>to think out over the next five to ten years.

0:07:46.840 --> 0:07:49.640
<v Speaker 2>Wh's really going to drive growth in our economy And

0:07:49.640 --> 0:07:52.840
<v Speaker 2>it's always been technology, and AI is a tremendous leap

0:07:53.120 --> 0:07:54.400
<v Speaker 2>forward in technology.

0:07:55.320 --> 0:07:59.040
<v Speaker 3>You know, if you think about specific technology or specific products.

0:07:59.120 --> 0:08:01.320
<v Speaker 3>We've talked a lot about the H one N one

0:08:01.440 --> 0:08:05.240
<v Speaker 3>hundred GPU series this year for obvious reasons. They are

0:08:05.720 --> 0:08:09.920
<v Speaker 3>the chip of choice or the tensacle GPU of choice

0:08:10.000 --> 0:08:15.080
<v Speaker 3>for AI. Less about Dojo and Tesla's own proprietary silicon.

0:08:15.760 --> 0:08:18.520
<v Speaker 3>Do you still assign a lot of the potential for

0:08:18.600 --> 0:08:20.680
<v Speaker 3>Tesla on that competence in silicon?

0:08:21.600 --> 0:08:24.320
<v Speaker 2>Absolutely? And I think that's in the valuation of Tesla

0:08:24.360 --> 0:08:26.600
<v Speaker 2>because obviously if it was an EV maker, you look

0:08:26.600 --> 0:08:29.720
<v Speaker 2>at Rivian, which is a great EV maker, its valuation

0:08:29.880 --> 0:08:32.079
<v Speaker 2>is you know, five percent of Teslas. So when you

0:08:32.120 --> 0:08:35.440
<v Speaker 2>when you think about why is Tesla such a valuable company,

0:08:35.640 --> 0:08:38.440
<v Speaker 2>it's because of its technology and that does center a

0:08:38.480 --> 0:08:42.600
<v Speaker 2>lot around AI Dojo chips. They're really machine learning and

0:08:42.640 --> 0:08:46.520
<v Speaker 2>ability to now train the cars through AI clusters. They

0:08:46.600 --> 0:08:48.880
<v Speaker 2>just bought a huge in video, you know, H one

0:08:48.920 --> 0:08:52.640
<v Speaker 2>hundred cluster of Really they're not really chipped or like

0:08:52.640 --> 0:08:56.400
<v Speaker 2>these massive machines actually that you add into your database.

0:08:56.440 --> 0:08:59.640
<v Speaker 2>So when you look at a company like Salesforce, which

0:08:59.640 --> 0:09:02.439
<v Speaker 2>had a great numbers. And I use Salesforce at my company,

0:09:02.640 --> 0:09:05.480
<v Speaker 2>and you start adding AI to this platform, it's going

0:09:05.559 --> 0:09:08.679
<v Speaker 2>to be like a game changer for Salesforce and it's users.

0:09:08.720 --> 0:09:11.360
<v Speaker 2>So I think that there's so many companies in Big

0:09:11.400 --> 0:09:14.680
<v Speaker 2>TAC that can benefit from this, and Nvidia and ultimately

0:09:14.760 --> 0:09:18.760
<v Speaker 2>Tesla are the roads to get reaching these efficiencies through

0:09:19.360 --> 0:09:20.520
<v Speaker 2>AI and autonomy.

0:09:21.120 --> 0:09:22.959
<v Speaker 3>Yeah, we told in the show to speak about how

0:09:23.040 --> 0:09:25.280
<v Speaker 3>Salesforce has pricing power as well. Right, they could charge

0:09:25.360 --> 0:09:26.920
<v Speaker 3>seventy five hundred per years.

0:09:26.760 --> 0:09:29.439
<v Speaker 1>That we spend so much. Yeah, we spend so much.

0:09:30.960 --> 0:09:32.240
<v Speaker 3>We're short in time, and I want to get to

0:09:32.280 --> 0:09:35.000
<v Speaker 3>Disney and Charter because Disney's name that you hold and

0:09:35.080 --> 0:09:35.840
<v Speaker 3>follow closely.

0:09:36.480 --> 0:09:37.800
<v Speaker 1>What do you make of that spat?

0:09:38.920 --> 0:09:41.800
<v Speaker 2>Well, you know, I feel like being a Disney long

0:09:41.880 --> 0:09:43.880
<v Speaker 2>term share older, you feel like you're getting kicked in

0:09:43.920 --> 0:09:45.880
<v Speaker 2>the head over and over again. But this is really

0:09:45.920 --> 0:09:48.240
<v Speaker 2>about why do I watch cable TV. I actually am

0:09:48.280 --> 0:09:50.120
<v Speaker 2>a Spectrum user. I was about to tweet them and

0:09:50.160 --> 0:09:52.360
<v Speaker 2>say pay the damn fee because the only reason I

0:09:52.400 --> 0:09:55.480
<v Speaker 2>watch Spectrum is for sports, and so it's absurd that

0:09:55.880 --> 0:09:59.040
<v Speaker 2>you're cutting off sports from your you know, subs when

0:09:59.040 --> 0:10:02.000
<v Speaker 2>cable's dying, and the only reason people watch cable is

0:10:02.040 --> 0:10:05.719
<v Speaker 2>for sports pretty much. So you know, we're in this

0:10:05.840 --> 0:10:10.120
<v Speaker 2>new period of time between linear TV and cable and

0:10:10.160 --> 0:10:13.800
<v Speaker 2>this you know, convergence of streaming and this battle for

0:10:13.920 --> 0:10:16.800
<v Speaker 2>who's paying for what and where and it's just playing out.

0:10:16.800 --> 0:10:19.600
<v Speaker 2>But any end spectrum will pay because people only want

0:10:19.600 --> 0:10:21.960
<v Speaker 2>to watch sports, you know, I mean, that's bottom line.

0:10:22.040 --> 0:10:25.000
<v Speaker 1>That and Taylor Swift Russ.

0:10:25.040 --> 0:10:27.400
<v Speaker 3>You are a private investor in the entity known as

0:10:27.640 --> 0:10:32.200
<v Speaker 3>X formerly known as Twitter. I reported yesterday that specifically

0:10:32.240 --> 0:10:36.240
<v Speaker 3>the biometric data policy update only applies to premium subscribers.

0:10:36.800 --> 0:10:39.920
<v Speaker 3>It involves a government issued ID with a selfie or

0:10:40.200 --> 0:10:40.920
<v Speaker 3>a double.

0:10:40.760 --> 0:10:42.040
<v Speaker 1>Verification through picture.

0:10:42.600 --> 0:10:45.599
<v Speaker 3>The response I got on the X platform was astonishing.

0:10:45.840 --> 0:10:48.040
<v Speaker 3>What do you, as an investor and user of X

0:10:48.440 --> 0:10:51.040
<v Speaker 3>make of that privacy policy update?

0:10:52.720 --> 0:10:54.960
<v Speaker 2>Well, you know, you can argue two sides of this

0:10:55.040 --> 0:10:58.320
<v Speaker 2>coin with almost every decision X makes. You know, I

0:10:58.320 --> 0:11:02.000
<v Speaker 2>think part of it is great, you know, like profiles

0:11:02.000 --> 0:11:06.480
<v Speaker 2>should actually correspond to an actual human and checking the

0:11:06.559 --> 0:11:09.480
<v Speaker 2>current verification system, in my mind, doesn't really work.

0:11:09.760 --> 0:11:12.440
<v Speaker 1>You know, It's kind of good, but not great.

0:11:12.760 --> 0:11:14.800
<v Speaker 2>This is very similar to what the bitcoin companies were

0:11:14.800 --> 0:11:16.560
<v Speaker 2>doing when you were signing up is you'd have to

0:11:16.559 --> 0:11:18.400
<v Speaker 2>do the same thing and send a picture of yourself

0:11:18.600 --> 0:11:21.280
<v Speaker 2>with your ID and that would verify you for taxes

0:11:21.320 --> 0:11:23.440
<v Speaker 2>and all this kind of stuff. So this isn't an

0:11:23.520 --> 0:11:26.600
<v Speaker 2>uncommon thing for people in the digital world to do.

0:11:27.240 --> 0:11:30.800
<v Speaker 2>I think, for a social media platform and one that's

0:11:30.800 --> 0:11:34.240
<v Speaker 2>building an AI platform, it's a little bit big brotherish

0:11:34.240 --> 0:11:36.920
<v Speaker 2>and scary that now I'm trusting Elon with all my

0:11:36.960 --> 0:11:39.640
<v Speaker 2>biometric data and I can totally get the pushback as well.

0:11:39.720 --> 0:11:41.800
<v Speaker 2>So you know, there's a plus and the minus to

0:11:41.880 --> 0:11:44.200
<v Speaker 2>this thing. I don't know how quick I am to

0:11:44.280 --> 0:11:48.200
<v Speaker 2>upload my driver's license to Twitter yet, you know, so

0:11:49.000 --> 0:11:51.160
<v Speaker 2>I get it, you know. So I think some of

0:11:51.240 --> 0:11:53.080
<v Speaker 2>these things that's really meant to make the purity of

0:11:53.080 --> 0:11:56.319
<v Speaker 2>the platform better. But at the same respect, people aren't

0:11:56.400 --> 0:11:59.640
<v Speaker 2>that excited to give away biometric data to Twitter, either, you.

0:11:59.679 --> 0:12:04.000
<v Speaker 3>Know or ex Ross Gerber, president, CEO and co founder

0:12:04.000 --> 0:12:07.200
<v Speaker 3>of I Think. I threw a dozen different names and

0:12:07.280 --> 0:12:09.840
<v Speaker 3>stories at you. What a fast start to the show.

0:12:09.880 --> 0:12:21.480
<v Speaker 3>Thank you very much. Much more ahead. This is Bloomberg Technology.

0:12:23.559 --> 0:12:25.840
<v Speaker 3>The big news is we go back to the technology

0:12:25.880 --> 0:12:30.319
<v Speaker 3>sector overnight being Tesla. Tesla revamping the Model three sedan

0:12:30.440 --> 0:12:34.600
<v Speaker 3>with sleeker looks and longer range while slashing prices of

0:12:34.640 --> 0:12:37.760
<v Speaker 3>its premium vehicles in an all out push to boost

0:12:37.760 --> 0:12:39.880
<v Speaker 3>its own sales. For more, I'm delighted to be joined

0:12:39.920 --> 0:12:42.640
<v Speaker 3>on set by Bloomberg Stan a whole now that refresh

0:12:42.720 --> 0:12:45.200
<v Speaker 3>Model three we start there, but that's only in China

0:12:45.280 --> 0:12:47.640
<v Speaker 3>and I think Europe, not yet here in the US.

0:12:47.880 --> 0:12:48.080
<v Speaker 1>Yeah.

0:12:48.200 --> 0:12:50.480
<v Speaker 5>What was funny was last night I kept like refreshing

0:12:50.520 --> 0:12:52.680
<v Speaker 5>the Tesla you know, web page to see if it

0:12:52.720 --> 0:12:55.040
<v Speaker 5>was in the US. But no, it's just China and Europe,

0:12:55.080 --> 0:12:57.640
<v Speaker 5>which makes sense. They retooled the China factory first.

0:12:58.040 --> 0:13:00.360
<v Speaker 1>Okay, we've been waiting on that one.

0:13:00.440 --> 0:13:03.520
<v Speaker 3>I think more of a surprise, potentially was the continuing

0:13:03.640 --> 0:13:09.040
<v Speaker 3>downward price of Model ESNX, the most expensive a Tesla's offering.

0:13:09.040 --> 0:13:10.280
<v Speaker 1>What do we know about that?

0:13:10.440 --> 0:13:12.559
<v Speaker 5>So the sn X are really like a tiny share

0:13:12.559 --> 0:13:15.439
<v Speaker 5>of Tesla's overall sales, but by slashing the prices, they

0:13:15.480 --> 0:13:18.480
<v Speaker 5>now qualify for the seventy five hundred dollars text credit

0:13:18.640 --> 0:13:22.080
<v Speaker 5>under the Inflation Reduction Act this country in the United States.

0:13:22.160 --> 0:13:25.360
<v Speaker 5>So this isn't all out pushed by Elon to chase volume,

0:13:25.400 --> 0:13:29.280
<v Speaker 5>which he forecasts. You know, he telecast to everyone.

0:13:28.960 --> 0:13:30.640
<v Speaker 1>That that's what he was going to do. Yeah.

0:13:30.640 --> 0:13:33.160
<v Speaker 3>Well, reminder, audience, I think the line from Elon Musk

0:13:33.200 --> 0:13:37.240
<v Speaker 3>has always been that they're willing to sacrifice profit to

0:13:37.320 --> 0:13:38.080
<v Speaker 3>protect growth.

0:13:38.160 --> 0:13:39.160
<v Speaker 1>Just to explain that to us.

0:13:39.400 --> 0:13:43.160
<v Speaker 5>Yeah, so they are willing to sacrifice profit margins or

0:13:43.200 --> 0:13:46.200
<v Speaker 5>gross margins to maintain their market share.

0:13:46.320 --> 0:13:47.560
<v Speaker 1>And it's really put the.

0:13:47.559 --> 0:13:49.800
<v Speaker 5>Other automakers sort of on the back heel, because how

0:13:49.840 --> 0:13:51.120
<v Speaker 5>do you compete with tessel on price?

0:13:51.200 --> 0:13:54.360
<v Speaker 3>Now, I think you and I quickly reflect on the

0:13:54.400 --> 0:13:56.280
<v Speaker 3>kind of big breaking news of this week that we.

0:13:56.240 --> 0:13:57.000
<v Speaker 1>Worked on together.

0:13:57.120 --> 0:14:02.120
<v Speaker 3>That is, Federal process cuts are looking into this procurement

0:14:02.240 --> 0:14:03.920
<v Speaker 3>order we reported a year ago.

0:14:05.720 --> 0:14:07.160
<v Speaker 1>The subpoenas have been issued.

0:14:07.520 --> 0:14:09.760
<v Speaker 3>You know, this is the latest twist and term, but

0:14:09.840 --> 0:14:13.160
<v Speaker 3>it centers around Omi daf Shah. Just explain who Omi

0:14:13.240 --> 0:14:15.160
<v Speaker 3>daf Shar is and why are we talking about him?

0:14:15.760 --> 0:14:15.840
<v Speaker 6>So.

0:14:15.920 --> 0:14:18.440
<v Speaker 5>Omid is one of Elon's top lieutenants, and he's an

0:14:18.480 --> 0:14:20.760
<v Speaker 5>interesting character in that he seems to work at all

0:14:20.760 --> 0:14:23.200
<v Speaker 5>of Elon's companies. He appears to be working at X,

0:14:23.280 --> 0:14:25.240
<v Speaker 5>he worked at Tesla for a long time. He's really

0:14:25.320 --> 0:14:28.480
<v Speaker 5>kind of the architect of Gigafactory Texas. He also at

0:14:28.480 --> 0:14:31.800
<v Speaker 5>one point had a VP role at SpaceX. And even

0:14:31.840 --> 0:14:34.000
<v Speaker 5>though he's at the center of this probe because he

0:14:34.160 --> 0:14:38.400
<v Speaker 5>apparently ordered people at Tesla to order this special glass

0:14:38.440 --> 0:14:41.360
<v Speaker 5>for a house that Elon was thinking of building.

0:14:41.400 --> 0:14:42.640
<v Speaker 1>He is still employed.

0:14:42.960 --> 0:14:45.280
<v Speaker 5>And you know where this feral probe is headed?

0:14:45.440 --> 0:14:46.400
<v Speaker 1>Headed is a big question?

0:14:46.680 --> 0:14:50.560
<v Speaker 3>Yeah, we replied it reported according to sources that these

0:14:50.560 --> 0:14:53.200
<v Speaker 3>subpoenas are issued and one of the issues centered on

0:14:53.240 --> 0:14:56.960
<v Speaker 3>communications to and from Omi daf Shah and other TESTA executives,

0:14:56.960 --> 0:14:59.760
<v Speaker 3>and we will continue to report on that. Bloomberg, Dana Hole,

0:15:00.040 --> 0:15:01.960
<v Speaker 3>thank you very much. The other top story in the

0:15:02.000 --> 0:15:04.840
<v Speaker 3>tech sector is Dell. Shares of Dell hitting a record

0:15:04.920 --> 0:15:08.360
<v Speaker 3>high today after reporting better than expected sales of personal

0:15:08.360 --> 0:15:11.480
<v Speaker 3>computers and data center hardware, is fueling hopes of a

0:15:11.560 --> 0:15:15.000
<v Speaker 3>recovery in the market for corporate technology. Who's with us?

0:15:15.000 --> 0:15:18.080
<v Speaker 3>Who else? Bloomberg's Brody Ford out in New York. This

0:15:18.320 --> 0:15:23.080
<v Speaker 3>is an astonishing share reaction, Brody, let's start with it.

0:15:23.720 --> 0:15:26.440
<v Speaker 3>What a sell side is at least saying about this.

0:15:27.200 --> 0:15:30.080
<v Speaker 7>We hear that phrase better than feared, and I cannot

0:15:30.160 --> 0:15:33.080
<v Speaker 7>think of a better example than this. I mean, you know,

0:15:33.560 --> 0:15:36.520
<v Speaker 7>sales are down thirteen percent, but we thought.

0:15:36.320 --> 0:15:37.200
<v Speaker 1>It was going to be eighteen.

0:15:37.640 --> 0:15:40.680
<v Speaker 7>This is pretty good, so let's buy the stock, right. So, yeah,

0:15:40.680 --> 0:15:43.520
<v Speaker 7>it's up twenty five percent. And what we're really seeing

0:15:43.560 --> 0:15:47.600
<v Speaker 7>here is that the demand for PCs, particularly business PCs,

0:15:47.640 --> 0:15:51.000
<v Speaker 7>are stabilizing quicker than we thought. As well as getting

0:15:51.000 --> 0:15:53.600
<v Speaker 7>a little up whift on the server. Business companies set

0:15:53.720 --> 0:15:56.800
<v Speaker 7>us do to AI could be doing a better macro environment.

0:15:56.840 --> 0:15:58.760
<v Speaker 7>We all want to tell an AI story, but that's

0:15:58.800 --> 0:16:00.840
<v Speaker 7>part of it as well. So the board.

0:16:01.080 --> 0:16:02.960
<v Speaker 1>Sales were just a little better than we expected.

0:16:02.960 --> 0:16:04.800
<v Speaker 7>You know, we saw HP a couple of days ago

0:16:04.880 --> 0:16:07.880
<v Speaker 7>saying that the recovery is going to take longer than

0:16:07.920 --> 0:16:10.320
<v Speaker 7>we thought, and Dell really took the other side of

0:16:10.360 --> 0:16:11.920
<v Speaker 7>the coin, which I think is surprising a.

0:16:11.880 --> 0:16:12.400
<v Speaker 1>Lot of folks.

0:16:12.520 --> 0:16:15.240
<v Speaker 7>Is often the two results track each other pretty closely.

0:16:15.720 --> 0:16:20.440
<v Speaker 3>Yes, it is not surprising that there is an AI

0:16:20.480 --> 0:16:23.200
<v Speaker 3>discussion in the context of Dell, But you know, what

0:16:23.240 --> 0:16:25.479
<v Speaker 3>they said was, this is a long term tailwind.

0:16:25.920 --> 0:16:27.400
<v Speaker 1>What is the AI story for Dell?

0:16:27.440 --> 0:16:29.760
<v Speaker 3>What is it that Dell does that is relevant to

0:16:30.120 --> 0:16:31.240
<v Speaker 3>ours official intelligence?

0:16:32.080 --> 0:16:35.000
<v Speaker 7>We talk about clouds so much that we forget. Some

0:16:35.080 --> 0:16:37.720
<v Speaker 7>big companies still use servers. They still need servers, and

0:16:37.720 --> 0:16:39.880
<v Speaker 7>Bell sells them, and they sell them with a bunch

0:16:39.920 --> 0:16:42.640
<v Speaker 7>of those nice and video GPUs in there, and they say, hey,

0:16:42.640 --> 0:16:46.000
<v Speaker 7>you want to run some on premise generative AI solutions,

0:16:46.600 --> 0:16:48.800
<v Speaker 7>this is the one for you. And so they said

0:16:48.840 --> 0:16:52.040
<v Speaker 7>that they have two billion dollars in backlocked orders for

0:16:52.080 --> 0:16:55.000
<v Speaker 7>a specific type of server which is marketed to be

0:16:55.080 --> 0:16:55.800
<v Speaker 7>good for AI.

0:16:56.520 --> 0:16:57.800
<v Speaker 1>So essentially they say.

0:16:57.560 --> 0:17:01.440
<v Speaker 7>That long term, more AI workflows, more need for servers,

0:17:01.720 --> 0:17:02.480
<v Speaker 7>more Bell winning.

0:17:03.920 --> 0:17:07.120
<v Speaker 3>All right, Bloomberg's Brady for this week for you here

0:17:07.160 --> 0:17:08.919
<v Speaker 3>on the show, and with plenty of earnings, Thank you

0:17:09.040 --> 0:17:11.280
<v Speaker 3>very much. The other big earning story is in the

0:17:11.359 --> 0:17:15.240
<v Speaker 3>chip sector. Investors were initially kind of underwhelmed with Broadcomms

0:17:15.320 --> 0:17:19.080
<v Speaker 3>results out yesterday. Some analysts weighed in why that might be.

0:17:19.119 --> 0:17:19.639
<v Speaker 3>Have a listen.

0:17:20.440 --> 0:17:21.600
<v Speaker 1>It's not a bad result.

0:17:21.800 --> 0:17:23.840
<v Speaker 3>I do think people were hoping for more, just given

0:17:23.920 --> 0:17:28.400
<v Speaker 3>all of the recent hype around AI. That was Stacy Raskon,

0:17:28.480 --> 0:17:32.440
<v Speaker 3>Bernstein's senior analyst on Bloomberg TV's The Close yesterday evening.

0:17:32.520 --> 0:17:34.760
<v Speaker 3>Let's turn to one of our internal experts on the

0:17:34.840 --> 0:17:37.400
<v Speaker 3>chip sect of Bloomberg's Eaan King. You and I talked

0:17:37.440 --> 0:17:39.520
<v Speaker 3>a lot about Broadcom going into it, what the AI

0:17:39.640 --> 0:17:40.440
<v Speaker 3>story would be.

0:17:41.640 --> 0:17:43.200
<v Speaker 1>What was the AI story in the end.

0:17:43.400 --> 0:17:48.440
<v Speaker 8>I mean, the AI story was as promised. The unfortunate thing, though,

0:17:48.560 --> 0:17:52.680
<v Speaker 8>was the how that reflected on the overall company Basically hoptown.

0:17:52.720 --> 0:17:55.240
<v Speaker 8>The CEO said, look, you know, all of our upside

0:17:55.640 --> 0:17:58.639
<v Speaker 8>is coming from this large language model build out that

0:17:58.720 --> 0:18:02.600
<v Speaker 8>we're seeing else kind of flat at best. He described

0:18:02.600 --> 0:18:05.280
<v Speaker 8>it as a soft landing, But obviously the market took

0:18:05.320 --> 0:18:09.080
<v Speaker 8>that as like the overall demand for semiconductors not fantastic.

0:18:09.200 --> 0:18:11.760
<v Speaker 3>Well, what I enjoyed talking to you about, genuinely is

0:18:12.000 --> 0:18:16.240
<v Speaker 3>the technology story, like understanding what each chip maker does

0:18:16.440 --> 0:18:21.199
<v Speaker 3>in the AI supply chain. So explain Broadcom's offering in

0:18:21.240 --> 0:18:22.359
<v Speaker 3>the data center context.

0:18:22.440 --> 0:18:25.160
<v Speaker 8>Yeah, I mean they have two big main plays here.

0:18:25.200 --> 0:18:27.240
<v Speaker 8>The one is that they really dominate the market for

0:18:27.280 --> 0:18:30.400
<v Speaker 8>what are called switches. These are chips that decide where

0:18:30.400 --> 0:18:33.960
<v Speaker 8>the traffic goes. Basically, one computer's got some information needs

0:18:34.000 --> 0:18:35.919
<v Speaker 8>to get to another. The switch chip is going to

0:18:35.960 --> 0:18:39.520
<v Speaker 8>be what makes those incredibly fast decisions to send that.

0:18:39.560 --> 0:18:40.760
<v Speaker 1>Data around to switch it.

0:18:41.200 --> 0:18:43.159
<v Speaker 8>The other play that they have, and that's quite a

0:18:43.160 --> 0:18:44.639
<v Speaker 8>big play as well is Google.

0:18:44.720 --> 0:18:45.600
<v Speaker 1>We've heard about.

0:18:45.359 --> 0:18:47.600
<v Speaker 8>The TPUs, Yes, they're own in house.

0:18:47.600 --> 0:18:48.159
<v Speaker 1>Who makes them?

0:18:48.200 --> 0:18:52.320
<v Speaker 8>Who designs the broad Com.

0:18:50.880 --> 0:18:54.520
<v Speaker 3>The legacy of Broadcom? Well, an important part of his

0:18:54.600 --> 0:18:58.679
<v Speaker 3>business is Apple. Frankly, it makes short distance communications at

0:18:58.720 --> 0:19:02.920
<v Speaker 3>aaka Wi Fi and Bluetooth. If AI is doing well,

0:19:02.960 --> 0:19:06.119
<v Speaker 3>but sales growth is kind of low single digits, what

0:19:06.200 --> 0:19:09.040
<v Speaker 3>does that tell us about the smartphone business?

0:19:09.200 --> 0:19:12.680
<v Speaker 8>Yeah, I mean Hat made an interesting comment yesterday he said, look,

0:19:12.720 --> 0:19:16.399
<v Speaker 8>our wireless division is basically defying gravity. What he was

0:19:16.520 --> 0:19:19.560
<v Speaker 8>meant by that was overall things are just not great.

0:19:19.600 --> 0:19:22.679
<v Speaker 8>As we know, we've seen you know, the numbers. But

0:19:23.400 --> 0:19:26.240
<v Speaker 8>demand is kind of okay for that division. They're going

0:19:26.280 --> 0:19:29.040
<v Speaker 8>to see some growth into this quarter. Where as you know,

0:19:29.080 --> 0:19:31.240
<v Speaker 8>as Mark Gooman has told us, we're going to see

0:19:31.280 --> 0:19:33.040
<v Speaker 8>a new iPhone, We're going to see new products and

0:19:33.080 --> 0:19:37.359
<v Speaker 8>that features some Broadcom chips. But overall, not fantastic, was

0:19:37.400 --> 0:19:38.120
<v Speaker 8>the bottom line?

0:19:38.280 --> 0:19:38.600
<v Speaker 1>All right?

0:19:38.600 --> 0:19:41.439
<v Speaker 3>Bloomberg Zy and King another very busy person this earning

0:19:41.480 --> 0:19:44.120
<v Speaker 3>season in the chip sector. And let's move from what's

0:19:44.200 --> 0:19:47.720
<v Speaker 3>happening in the public equity markets the tech space and

0:19:47.760 --> 0:19:51.320
<v Speaker 3>move to one of our other favorite risksket risk assets,

0:19:51.320 --> 0:19:53.280
<v Speaker 3>which is Bitcoin joining us now to get the pulse

0:19:53.600 --> 0:19:56.200
<v Speaker 3>on the VC crypto space after all of the Bitcoin

0:19:56.240 --> 0:19:59.480
<v Speaker 3>ETF decisions earlier this week is at least clean still

0:19:59.520 --> 0:20:02.760
<v Speaker 3>Mark found and managing partner. The firm has about eighty

0:20:02.760 --> 0:20:05.919
<v Speaker 3>five million dollars in assets under management that focuses on

0:20:06.000 --> 0:20:09.800
<v Speaker 3>bitcoin companies. So I guess the news, which is not surprising.

0:20:09.840 --> 0:20:12.240
<v Speaker 3>We discussed it twenty four hours ago on this program.

0:20:12.760 --> 0:20:16.119
<v Speaker 3>Is the SEC kind of punting a decision on ETF

0:20:16.160 --> 0:20:19.560
<v Speaker 3>applications for many names. But what have you made of

0:20:19.600 --> 0:20:22.320
<v Speaker 3>everything that's happened in the last seven to ten days.

0:20:24.520 --> 0:20:29.800
<v Speaker 9>Well, BTC bitcoin matures along two distinct but very closely

0:20:29.840 --> 0:20:34.240
<v Speaker 9>related path that's Bitcoin the asset and then Bitcoin protocol

0:20:34.240 --> 0:20:39.359
<v Speaker 9>and technologies, including bitcoin's likening network, it's payment protocol. The

0:20:39.440 --> 0:20:43.480
<v Speaker 9>Grayscale victory over the SEC earlier this week is a

0:20:43.520 --> 0:20:48.000
<v Speaker 9>significant advancement for the maturation and the adoption of BTC

0:20:48.160 --> 0:20:52.160
<v Speaker 9>the asset because it makes a spot ETF much more likely.

0:20:53.119 --> 0:20:56.840
<v Speaker 9>It also limited the arguments that the SEC can advance

0:20:56.880 --> 0:21:01.080
<v Speaker 9>in the future in denying spot ETF, and particularly what

0:21:01.160 --> 0:21:05.679
<v Speaker 9>the court found to be challenging or problematic was the

0:21:05.760 --> 0:21:11.080
<v Speaker 9>approval of future of a bitcoin futures ETF, while the

0:21:11.160 --> 0:21:16.000
<v Speaker 9>SEC continued to reject Bitcoin spot ETFs with the argument

0:21:16.160 --> 0:21:21.280
<v Speaker 9>of course that surveillance sharing agreements were insufficient or that

0:21:21.359 --> 0:21:25.960
<v Speaker 9>there was potential for the practice of manipulation in those markets.

0:21:26.400 --> 0:21:28.840
<v Speaker 9>And so what that means is that for the SEC

0:21:29.119 --> 0:21:33.760
<v Speaker 9>to continue rejecting or denying a Bitcoin spot ETF, they'll

0:21:33.840 --> 0:21:36.920
<v Speaker 9>have to form a new argument, and one that would

0:21:36.920 --> 0:21:40.720
<v Speaker 9>be distinct in its properties from future ETFs.

0:21:41.280 --> 0:21:42.640
<v Speaker 1>And that really shows up.

0:21:42.560 --> 0:21:45.240
<v Speaker 9>The timeline for which we expect to see spy ETF.

0:21:46.440 --> 0:21:50.720
<v Speaker 3>We consider the basics of why this is happening. You know,

0:21:50.800 --> 0:21:53.960
<v Speaker 3>the argument from those that have filed applications is that

0:21:54.359 --> 0:21:58.359
<v Speaker 3>the ETF would give retail and institutional investors just a

0:21:58.400 --> 0:22:03.159
<v Speaker 3>mechanism to exposure. You are a VC that invests in

0:22:03.200 --> 0:22:07.760
<v Speaker 3>bitcoin companies, So how do you play this longer term story?

0:22:07.800 --> 0:22:11.359
<v Speaker 3>Where do you invest to benefit in the longer run

0:22:11.760 --> 0:22:18.120
<v Speaker 3>if you know a Bitcoin spot ETF does become authorized, well, so.

0:22:18.040 --> 0:22:22.720
<v Speaker 9>The expectation that a spot ETF will become authorized exists

0:22:22.800 --> 0:22:26.040
<v Speaker 9>in a sort of ecosystem of activity in which we

0:22:26.119 --> 0:22:29.760
<v Speaker 9>see BTC the asset further financializing and maturing, and so

0:22:29.800 --> 0:22:33.199
<v Speaker 9>we're investing there an example of this is that we

0:22:33.359 --> 0:22:36.840
<v Speaker 9>recently made an investment in a company called Meanwhile, which

0:22:36.880 --> 0:22:40.240
<v Speaker 9>is the first company to offer a BTC denominated whole

0:22:40.320 --> 0:22:44.480
<v Speaker 9>life insurance policy, which has the effect of further financializing

0:22:44.720 --> 0:22:48.639
<v Speaker 9>bitcoin as an asset. At the same time, there's advancement

0:22:48.720 --> 0:22:54.719
<v Speaker 9>happening in bitcoin payments technologies, including to facilitate introduction of

0:22:55.040 --> 0:22:59.720
<v Speaker 9>bitcoin payment technologies lightning networks, specifically to match the needs

0:22:59.760 --> 0:23:02.359
<v Speaker 9>of under other trends that we've seen in the tech

0:23:02.440 --> 0:23:04.840
<v Speaker 9>field and in particular AI.

0:23:06.280 --> 0:23:07.160
<v Speaker 1>I want to go there.

0:23:07.359 --> 0:23:12.360
<v Speaker 3>You know, the Bitcoin Lightning network was something we discussed heavily,

0:23:13.200 --> 0:23:15.119
<v Speaker 3>you know, not in twenty twenty three or the end

0:23:15.160 --> 0:23:17.840
<v Speaker 3>of twenty twenty two, but in prior years. Now, with

0:23:17.920 --> 0:23:20.800
<v Speaker 3>all of the momentum in AI, how do you see

0:23:21.359 --> 0:23:25.360
<v Speaker 3>AI putting momentum back into a focus on the underlying

0:23:25.359 --> 0:23:26.480
<v Speaker 3>technology for bitcoin.

0:23:27.960 --> 0:23:33.399
<v Speaker 9>What's really exciting is that Bitcoin developed slowly and purposely.

0:23:33.520 --> 0:23:38.960
<v Speaker 9>So Bitcoin technologies and Lightening Network in particular was developed

0:23:38.960 --> 0:23:44.080
<v Speaker 9>to solve global scale problems. It wasn't developed to introduce

0:23:44.119 --> 0:23:49.080
<v Speaker 9>a quick trend or to serve as speculative behavior or gambling,

0:23:49.400 --> 0:23:52.439
<v Speaker 9>but really it was meant to serve as a payment

0:23:52.680 --> 0:23:56.240
<v Speaker 9>infrastructure that was pecure and scalable, and this is what

0:23:56.320 --> 0:24:01.000
<v Speaker 9>AI needs. So we know, as AI has become commercialized

0:24:01.040 --> 0:24:05.240
<v Speaker 9>and we're seeing products like Chatchipt and others, flouris should

0:24:05.240 --> 0:24:08.920
<v Speaker 9>become popular, that fraud and payment and chargebacks would become

0:24:08.960 --> 0:24:12.560
<v Speaker 9>a problem for those companies which curtails are addressable market

0:24:13.080 --> 0:24:16.119
<v Speaker 9>and one of the advantages of Bitcoin's Lightning Network as

0:24:16.119 --> 0:24:21.000
<v Speaker 9>a payment solution is that settlement is instant, So if

0:24:21.040 --> 0:24:24.919
<v Speaker 9>you're instantly transmitting value or a product, you can instantly

0:24:25.000 --> 0:24:30.440
<v Speaker 9>settle that transaction and mitigate or completely assuage the risk

0:24:30.600 --> 0:24:32.480
<v Speaker 9>of chargebacks.

0:24:31.960 --> 0:24:33.119
<v Speaker 1>And that sort of fraud.

0:24:33.880 --> 0:24:38.280
<v Speaker 9>And in addition to that, because Lightning Network was purpose built,

0:24:38.920 --> 0:24:43.320
<v Speaker 9>it scales without the constraint of the underlying blockchain, which

0:24:43.400 --> 0:24:48.600
<v Speaker 9>means that activity in the underlying Bitcoin blockchain doesn't curtail

0:24:48.680 --> 0:24:52.439
<v Speaker 9>the amount of transactions per seconds that are possible on

0:24:52.440 --> 0:24:55.720
<v Speaker 9>the Lightning network, and for AI that's absolutely necessary. You

0:24:55.840 --> 0:24:59.199
<v Speaker 9>need to hit scale of millions of transactions per second

0:24:59.280 --> 0:25:03.240
<v Speaker 9>or more in order to service the needs of AI companies,

0:25:03.240 --> 0:25:05.000
<v Speaker 9>and Likening Network can uniquely do that.

0:25:06.440 --> 0:25:09.359
<v Speaker 3>Elise Colleen Stillmark, founder and managing partner. You know, we

0:25:09.480 --> 0:25:12.159
<v Speaker 3>really appreciate the explanation of how you play this as

0:25:12.200 --> 0:25:14.919
<v Speaker 3>a VC, but such a firm grasp on the underlying

0:25:14.960 --> 0:25:18.040
<v Speaker 3>technology as well. Thank you have a good long weekend,

0:25:18.240 --> 0:25:20.239
<v Speaker 3>all right. Coming up here on Bloomberg Technology, we'll look

0:25:20.240 --> 0:25:23.440
<v Speaker 3>at the latest health tech trends with founder's fun Partner

0:25:23.720 --> 0:25:27.480
<v Speaker 3>delian Asparuhoff and Sword Health CEO V.

0:25:27.840 --> 0:25:29.120
<v Speaker 1>Bentu. That's coming up.

0:25:29.600 --> 0:25:32.280
<v Speaker 3>We're also seeing some breaking news crossing the Bloomberg terminal,

0:25:32.880 --> 0:25:36.560
<v Speaker 3>the New York Times reporting that Meta, the parent company

0:25:36.600 --> 0:25:40.600
<v Speaker 3>of Facebook, may allow Facebook and Instagram users in the

0:25:40.680 --> 0:25:46.119
<v Speaker 3>European Union the EU, to pay to avoid advertising. To

0:25:46.200 --> 0:25:48.800
<v Speaker 3>avoid ads that coming from the New York Times, it

0:25:48.920 --> 0:25:52.920
<v Speaker 3>did briefly push the shares highed they've been negative, pushed

0:25:52.920 --> 0:25:55.399
<v Speaker 3>it into positive territory. As those headlines broke, we are

0:25:55.440 --> 0:25:59.760
<v Speaker 3>now flat as a pancake on Meta platforms. This Friday,

0:26:00.040 --> 0:26:16.040
<v Speaker 3>This is Bloomberg Technology, Okay. On today's VC Spotlight, we're

0:26:16.040 --> 0:26:19.800
<v Speaker 3>taking a look at the latest trends in health tech investments.

0:26:19.800 --> 0:26:21.679
<v Speaker 1>And for this let's bring in Virgilio V.

0:26:21.760 --> 0:26:25.440
<v Speaker 3>Benu, founder and CEO of Sword Health, along with founders

0:26:25.480 --> 0:26:30.440
<v Speaker 3>Fun Partner and Varda Space Industry's President delian Asparov V

0:26:30.840 --> 0:26:34.560
<v Speaker 3>I'll start with you. This is really interesting. The technology

0:26:34.600 --> 0:26:38.800
<v Speaker 3>that you are trying to grow and commercialize is sensor

0:26:38.840 --> 0:26:42.359
<v Speaker 3>and software approach to pain management. Just explain sword to

0:26:42.440 --> 0:26:44.120
<v Speaker 3>us broadly speaking.

0:26:45.320 --> 0:26:49.280
<v Speaker 10>Okay, So basically, we believe that if you have physical pain, right,

0:26:49.359 --> 0:26:52.640
<v Speaker 10>if you have low back pain as an example, and

0:26:52.680 --> 0:26:56.480
<v Speaker 10>the best solution to your problem, it's not feels, it's

0:26:56.520 --> 0:27:00.399
<v Speaker 10>not penk killers, it's not surgeries or injections, should be

0:27:00.480 --> 0:27:05.120
<v Speaker 10>high quality, high intensity physical therapy, right, that's the solution.

0:27:05.600 --> 0:27:07.720
<v Speaker 10>The problem with that is that the way we do

0:27:07.760 --> 0:27:11.800
<v Speaker 10>live a physical therapy, it's still one hundred percent labor intensive,

0:27:12.200 --> 0:27:16.400
<v Speaker 10>which really limits and is a bottleneck in terms of

0:27:16.440 --> 0:27:19.359
<v Speaker 10>access to care. And so what we've done was we

0:27:19.400 --> 0:27:22.920
<v Speaker 10>developed this AI solution that we call our digital therapist

0:27:23.200 --> 0:27:27.680
<v Speaker 10>that basically replicates what the human physical therapist will do

0:27:27.960 --> 0:27:30.640
<v Speaker 10>in a pretty clinic. But then you can do your

0:27:30.720 --> 0:27:35.280
<v Speaker 10>sessions independently at home at seven am in your PGMs

0:27:35.320 --> 0:27:39.439
<v Speaker 10>after breakfast without digital therapist, right with our AI solution,

0:27:39.640 --> 0:27:43.040
<v Speaker 10>and then everything that you do is remotely supervised by

0:27:43.040 --> 0:27:45.399
<v Speaker 10>a member of our clinical team. And so we have

0:27:45.480 --> 0:27:49.800
<v Speaker 10>this human plus AI model to how we are changing

0:27:49.920 --> 0:27:53.119
<v Speaker 10>how we treat physical pain, which is a bigger problem

0:27:53.160 --> 0:27:53.720
<v Speaker 10>in healthcare.

0:27:55.160 --> 0:27:57.280
<v Speaker 3>This is an interesting case study because we have one

0:27:57.280 --> 0:28:00.840
<v Speaker 3>of your biggest, biggest investors with us as well, So Delian,

0:28:01.160 --> 0:28:05.159
<v Speaker 3>you know, why did Sword fit within your investment thesis

0:28:05.440 --> 0:28:07.480
<v Speaker 3>when you consider how to play health tech.

0:28:08.880 --> 0:28:11.240
<v Speaker 6>Yeah, we were originally thinking about this as an investment

0:28:11.280 --> 0:28:14.399
<v Speaker 6>thesis at my prior firm, Coastal Aventures. Back in summer

0:28:14.400 --> 0:28:17.879
<v Speaker 6>of twenty eighteen, we were analyzing the general healthcare landscape

0:28:17.920 --> 0:28:21.040
<v Speaker 6>and surprisingly stumbled across the fact that muscle skeletal care

0:28:21.160 --> 0:28:23.280
<v Speaker 6>generally what you think of as physical therapy, but can

0:28:23.359 --> 0:28:25.639
<v Speaker 6>have either a wide range of everything from you know,

0:28:25.800 --> 0:28:28.200
<v Speaker 6>net lower back, knee surgery, et cetera. In the care

0:28:28.240 --> 0:28:31.040
<v Speaker 6>after that was the largest spend in healthcare, and it

0:28:31.080 --> 0:28:32.840
<v Speaker 6>was one of the areas where there was very limited

0:28:32.920 --> 0:28:35.359
<v Speaker 6>you know, sort of applications of technology. For sure, you

0:28:35.400 --> 0:28:37.640
<v Speaker 6>had individual tools that you'd see in brick and mortar

0:28:37.680 --> 0:28:40.800
<v Speaker 6>physical therapy clinics, but there wasn't really much technology being

0:28:40.800 --> 0:28:42.840
<v Speaker 6>applied to the actual delivery of that care.

0:28:43.200 --> 0:28:43.680
<v Speaker 1>There had been a.

0:28:43.680 --> 0:28:46.040
<v Speaker 6>First handful of attempts. They were doing this very thin

0:28:46.160 --> 0:28:49.120
<v Speaker 6>technological layer. Think of it as effectively, you know, interface

0:28:49.200 --> 0:28:51.400
<v Speaker 6>on top of zoom, but no real technology that was

0:28:51.440 --> 0:28:54.360
<v Speaker 6>showing an improved sort of you know, clinical outcome. And

0:28:54.400 --> 0:28:56.480
<v Speaker 6>when we met you know, Virgilio and his team in

0:28:56.560 --> 0:28:59.160
<v Speaker 6>late twenty eighteen, there are two things that really stood

0:28:59.160 --> 0:29:02.160
<v Speaker 6>out to us. One, they had true scientific proof of

0:29:02.200 --> 0:29:05.040
<v Speaker 6>their clinical methodology being more effective than going to a

0:29:05.040 --> 0:29:07.560
<v Speaker 6>brick and mortar clinic. Everybody else was trying to replicate

0:29:07.560 --> 0:29:09.400
<v Speaker 6>brick and mortar, they were actually improving it. And this

0:29:09.480 --> 0:29:11.680
<v Speaker 6>paper was published in Nature, so a very pre eminent

0:29:11.920 --> 0:29:15.120
<v Speaker 6>scientific journal. And then two, the actual solution was not

0:29:15.240 --> 0:29:18.000
<v Speaker 6>just basically put physical therapists behind a zoom screen and

0:29:18.120 --> 0:29:21.480
<v Speaker 6>instead was this AI combined with sensor technology that allowed

0:29:21.520 --> 0:29:23.320
<v Speaker 6>you to while you're watching your evening.

0:29:23.360 --> 0:29:25.880
<v Speaker 1>TV, actually be doing your niche.

0:29:26.080 --> 0:29:28.520
<v Speaker 6>Therapy, your lower back therapy, which just makes it more

0:29:28.560 --> 0:29:31.320
<v Speaker 6>convenient and actually significantly improves the clinical outcomes then having

0:29:31.320 --> 0:29:32.480
<v Speaker 6>to go in person to a clinic.

0:29:33.840 --> 0:29:36.560
<v Speaker 3>The I want to know what it's like you growing

0:29:36.640 --> 0:29:39.360
<v Speaker 3>the business, commercializing in your latest round, I think at

0:29:39.360 --> 0:29:41.600
<v Speaker 3>the end of twenty twenty one November twenty twenty one,

0:29:41.880 --> 0:29:45.040
<v Speaker 3>you've got a two billion dollar valuation, big jump in valuation,

0:29:45.840 --> 0:29:47.640
<v Speaker 3>and then you had a lot of momentum, So what

0:29:47.680 --> 0:29:50.080
<v Speaker 3>does that look like? Explain how you've grown.

0:29:51.360 --> 0:29:54.480
<v Speaker 10>So the reason why we are still going very very

0:29:54.480 --> 0:29:58.960
<v Speaker 10>fast since twenty twenty one in spite of these economic

0:29:59.080 --> 0:30:03.320
<v Speaker 10>challenges that everyone is facing is because one of our

0:30:03.920 --> 0:30:08.520
<v Speaker 10>key value propositions is that we drive cost efficiencies. If

0:30:08.560 --> 0:30:11.360
<v Speaker 10>you are a large employer in the US right now

0:30:11.400 --> 0:30:16.000
<v Speaker 10>and you want to drive financial efficiency, of course you

0:30:16.040 --> 0:30:19.680
<v Speaker 10>can reduce your headcount. That's one way to do it.

0:30:19.720 --> 0:30:22.200
<v Speaker 10>But in terms of healthcare, it's not like you can

0:30:22.280 --> 0:30:26.120
<v Speaker 10>deny a surgery to one of your employees, right you

0:30:26.240 --> 0:30:28.560
<v Speaker 10>are still on the hook for that. And so what

0:30:28.760 --> 0:30:30.480
<v Speaker 10>we allow you to do is that instead of a

0:30:30.560 --> 0:30:33.680
<v Speaker 10>surgery for your low back pain as an example, you

0:30:33.720 --> 0:30:36.280
<v Speaker 10>can use swords and we are able to treat the

0:30:36.360 --> 0:30:40.320
<v Speaker 10>passion much more efficiently with higher levels of passion experience,

0:30:40.440 --> 0:30:43.600
<v Speaker 10>and of course willly reduce in costs. And the way

0:30:43.600 --> 0:30:46.280
<v Speaker 10>we tie all of these up is that we contractually

0:30:46.680 --> 0:30:49.959
<v Speaker 10>guarantee to our clients that we save them many so

0:30:49.960 --> 0:30:53.880
<v Speaker 10>then it becomes a no brainer why they should adopt.

0:30:53.480 --> 0:30:57.560
<v Speaker 3>Surce Delian quick final to you, you know, one consideration

0:30:57.640 --> 0:31:01.520
<v Speaker 3>when you invest in a healthcare startup is its exposure

0:31:01.640 --> 0:31:05.719
<v Speaker 3>or risk with the US healthcare system insurance where it

0:31:05.760 --> 0:31:09.200
<v Speaker 3>fits in with how the system works. Just explain quickly

0:31:09.280 --> 0:31:10.360
<v Speaker 3>how you thought about that.

0:31:11.360 --> 0:31:13.960
<v Speaker 6>Yeah, I think in this particular situation, because it's such

0:31:13.960 --> 0:31:16.240
<v Speaker 6>a large bucket of spend, you can actually go after

0:31:16.280 --> 0:31:18.840
<v Speaker 6>individual self insured employers, right think of like the Fortune

0:31:18.880 --> 0:31:21.640
<v Speaker 6>five hundreds, the Walmarts of the world. Internally they have

0:31:21.720 --> 0:31:25.240
<v Speaker 6>super sophisticated medical teams. When you're talking about hundreds of thousands,

0:31:25.280 --> 0:31:27.440
<v Speaker 6>millions of employees, they may as well be their own

0:31:27.480 --> 0:31:31.440
<v Speaker 6>individual healthcare network. And so relative to swords early commercialization

0:31:31.520 --> 0:31:33.640
<v Speaker 6>in Europe and Australia where they had to send and

0:31:34.160 --> 0:31:37.000
<v Speaker 6>sell to national healthcare systems in the United States, you

0:31:37.040 --> 0:31:39.640
<v Speaker 6>can chip off basically the individual employers one at a

0:31:39.680 --> 0:31:42.160
<v Speaker 6>time that are very both clinically focused, so they will

0:31:42.160 --> 0:31:45.560
<v Speaker 6>appreciate the nature papers that Virgilia is publishing and very

0:31:45.600 --> 0:31:48.560
<v Speaker 6>cost conscientious relatives to somebody that's redding a Medicare plan.

0:31:48.840 --> 0:31:51.560
<v Speaker 6>Walmart ultimately is delivering their bottom line every single quarter

0:31:51.600 --> 0:31:54.000
<v Speaker 6>to public investors rether than being funded by you to

0:31:54.040 --> 0:31:56.600
<v Speaker 6>public dollars. And so the combination of the two led

0:31:56.680 --> 0:32:00.520
<v Speaker 6>sort to go from effectively having no US commercialization at

0:32:00.520 --> 0:32:02.680
<v Speaker 6>the end of twenty nineteen to now being over one

0:32:02.760 --> 0:32:05.680
<v Speaker 6>hundred million dollar revenue run rate, largely based in the

0:32:05.760 --> 0:32:06.800
<v Speaker 6>United States.

0:32:08.000 --> 0:32:12.120
<v Speaker 3>Fascinating global conversation Videlio Vbentu, founder and CEO, Sword Held

0:32:12.160 --> 0:32:15.920
<v Speaker 3>founder's fun partner delian Asparov, Thank you both. This is

0:32:15.960 --> 0:32:31.720
<v Speaker 3>bloombog technology. Okay, So for most artificial intelligence companies, adding

0:32:31.840 --> 0:32:35.000
<v Speaker 3>dot AI is a pretty important part of indicating that

0:32:35.080 --> 0:32:38.720
<v Speaker 3>you are a player in that field. However, dot AI

0:32:39.040 --> 0:32:41.760
<v Speaker 3>just happens to be the Internet country code for the

0:32:41.800 --> 0:32:45.480
<v Speaker 3>Caribbean island of Anguilla, and that is bringing in tens

0:32:45.520 --> 0:32:49.920
<v Speaker 3>of millions of dollars for that island. Beautiful joining me

0:32:49.960 --> 0:32:51.720
<v Speaker 3>now on set Bloomboat's Rachel Metz.

0:32:51.800 --> 0:32:53.080
<v Speaker 1>This is a crazy story.

0:32:53.560 --> 0:32:56.280
<v Speaker 3>So there are AI companies all over the world cutting

0:32:56.440 --> 0:32:58.440
<v Speaker 3>checks to this tiny little island.

0:32:59.320 --> 0:33:00.600
<v Speaker 1>Yes, in a.

0:33:00.600 --> 0:33:05.440
<v Speaker 11>Manner speaking, Yeah, So in Guila's country code top level domain,

0:33:05.480 --> 0:33:09.040
<v Speaker 11>that's the two letters at the very end dot AI.

0:33:09.280 --> 0:33:11.800
<v Speaker 11>A lot of different countries and well all pretty much

0:33:11.800 --> 0:33:14.280
<v Speaker 11>all different countries and territories have these two letters that

0:33:14.320 --> 0:33:17.480
<v Speaker 11>were assigned to them decades ago, back in the nineties

0:33:17.680 --> 0:33:20.600
<v Speaker 11>as the Internet was first getting its leg so to speak.

0:33:21.400 --> 0:33:24.080
<v Speaker 11>And Guila has had this for a long time. At

0:33:24.120 --> 0:33:26.520
<v Speaker 11>a certain point, I think it was around two thousand

0:33:26.560 --> 0:33:30.320
<v Speaker 11>and nine, they opened dot ai domain registration up to

0:33:30.360 --> 0:33:33.600
<v Speaker 11>people outside of the country, so it could be people

0:33:33.600 --> 0:33:36.520
<v Speaker 11>who didn't live there or have a business there. And

0:33:36.680 --> 0:33:39.760
<v Speaker 11>it is the revenue from that has risen steadily. But

0:33:39.840 --> 0:33:42.560
<v Speaker 11>this past year, once chat GBT was released, it took

0:33:42.600 --> 0:33:43.920
<v Speaker 11>off like a hobby stick.

0:33:44.120 --> 0:33:47.440
<v Speaker 3>You have been speaking to some of the officials in

0:33:47.520 --> 0:33:50.160
<v Speaker 3>this tiny island nation who are dealing with this.

0:33:50.280 --> 0:33:54.400
<v Speaker 1>What are the numbers? What's life like for them? That's

0:33:54.400 --> 0:33:55.000
<v Speaker 1>a good question.

0:33:55.480 --> 0:33:57.720
<v Speaker 11>So the person that I spoke to, his name is

0:33:57.760 --> 0:33:58.280
<v Speaker 11>Vince Kate.

0:33:59.000 --> 0:34:00.960
<v Speaker 1>He actually moved from the US.

0:34:00.720 --> 0:34:04.720
<v Speaker 11>To Anguila in the nineties and not to be in

0:34:04.800 --> 0:34:07.960
<v Speaker 11>charge of the domain registration, but sort of happened to

0:34:08.239 --> 0:34:11.920
<v Speaker 11>land in that spot. So basically, when people register dot

0:34:11.960 --> 0:34:14.960
<v Speaker 11>Ai domains with companies like name Cheap or go Daddy,

0:34:16.320 --> 0:34:20.560
<v Speaker 11>money goes from those companies to this man, Vince Cape,

0:34:20.640 --> 0:34:22.960
<v Speaker 11>and he sends it on to the Aquila government. So

0:34:23.040 --> 0:34:23.840
<v Speaker 11>he's been watching this.

0:34:23.920 --> 0:34:24.960
<v Speaker 1>He has a front seat to all this.

0:34:25.400 --> 0:34:28.720
<v Speaker 11>He thinks that the country is going sorry, the territory

0:34:28.800 --> 0:34:30.840
<v Speaker 11>is going to see twenty five to perhaps thirty million

0:34:30.880 --> 0:34:32.240
<v Speaker 11>dollars in revenue this year, which.

0:34:32.120 --> 0:34:35.279
<v Speaker 3>Is gone huge bloombergs rachel Mates. Check out her story

0:34:35.320 --> 0:34:36.319
<v Speaker 3>on Bloomberg dot com.

0:34:36.360 --> 0:34:36.839
<v Speaker 1>That does it.

0:34:36.880 --> 0:34:40.600
<v Speaker 3>Sadly for the edition of Bloomberg Technology Recap on our podcast,

0:34:40.880 --> 0:34:43.600
<v Speaker 3>it has been a massive week for earnings for AI

0:34:43.960 --> 0:34:46.840
<v Speaker 3>and everything in between. From San Francisco. This is Bloomberg

0:34:46.880 --> 0:34:50.160
<v Speaker 3>Technology