WEBVTT - Tech at Davos and Coinbase in Court

0:00:01.639 --> 0:00:05.960
<v Speaker 1>From Mahart where Innovation, Money and Power Collie in Silicon

0:00:06.040 --> 0:00:06.880
<v Speaker 1>Vallet Nbon.

0:00:07.280 --> 0:00:10.720
<v Speaker 2>This is Bloomberg Technology with Caroline Hide.

0:00:10.400 --> 0:00:28.240
<v Speaker 3>And Ed Ludlow Imed Ludlow in San Francisco. Caroline Hides

0:00:28.280 --> 0:00:31.120
<v Speaker 3>off this week. This is Bloomberg Technology coming up on

0:00:31.160 --> 0:00:34.239
<v Speaker 3>the program. Full coverage from the World Economic Forum. As

0:00:34.240 --> 0:00:37.360
<v Speaker 3>tech heavyweights continue to descend on Davos, we hear from

0:00:37.400 --> 0:00:39.360
<v Speaker 3>the CEOs of Cisco.

0:00:39.280 --> 0:00:40.880
<v Speaker 4>Qualcom and many more.

0:00:41.360 --> 0:00:45.080
<v Speaker 3>Plus the SEC and Coinbase face off in court today

0:00:45.520 --> 0:00:48.360
<v Speaker 3>over the regulator's crypto authority after.

0:00:48.240 --> 0:00:50.280
<v Speaker 4>Suing the exchange last July.

0:00:50.360 --> 0:00:53.440
<v Speaker 3>Will bring you the latest from the trial and AI

0:00:53.560 --> 0:00:57.360
<v Speaker 3>startup Amthropic is building out technology for its chatbot to

0:00:57.440 --> 0:00:59.520
<v Speaker 3>analyze images as it seeks.

0:00:59.240 --> 0:01:00.920
<v Speaker 4>To catch up with big competitors.

0:01:00.960 --> 0:01:04.080
<v Speaker 3>We'll bring you the details and so much more throughout

0:01:04.240 --> 0:01:08.000
<v Speaker 3>the hour. Let's focus on the technology sector. In financial markets,

0:01:08.040 --> 0:01:10.319
<v Speaker 3>the story of the week continues to be FED speak,

0:01:10.360 --> 0:01:13.760
<v Speaker 3>and what we're seeing this Wednesday morning is traders pair

0:01:13.880 --> 0:01:17.080
<v Speaker 3>back their expectations for FED rate cuts in twenty twenty four.

0:01:17.319 --> 0:01:19.920
<v Speaker 3>How that manifests itself is a lot of red on

0:01:19.959 --> 0:01:23.560
<v Speaker 3>the screen behind me. Some underperformance in the technology sector

0:01:23.560 --> 0:01:25.039
<v Speaker 3>and as that one hundred is kind of my go

0:01:25.160 --> 0:01:28.240
<v Speaker 3>to right because of the number of technology or concentration

0:01:28.360 --> 0:01:30.880
<v Speaker 3>of technology shares. But look at the Golden Dragon China

0:01:30.920 --> 0:01:35.800
<v Speaker 3>Index US listed or ADRs of Chinese technology companies underperforming

0:01:35.959 --> 0:01:40.440
<v Speaker 3>the semiconductor space, or socks also underperforming, and Bitcoin kind

0:01:40.440 --> 0:01:43.360
<v Speaker 3>of caught up in this risk of mentality, pulling back

0:01:43.640 --> 0:01:47.160
<v Speaker 3>back towards forty two thousand US dollars per token.

0:01:47.200 --> 0:01:48.760
<v Speaker 4>There's a lot in the news cycle as well.

0:01:48.840 --> 0:01:52.080
<v Speaker 3>Tesla continues to be a driver to the downside in

0:01:52.160 --> 0:01:54.720
<v Speaker 3>major indices. That is a stock that is down by

0:01:54.720 --> 0:02:01.280
<v Speaker 3>two point seven percent. Price cuts on Model Y in Europe, Netherlands, Grants, Germany,

0:02:01.560 --> 0:02:04.520
<v Speaker 3>other markets mid single digits, pulling back on the price

0:02:04.560 --> 0:02:07.000
<v Speaker 3>of Model Y, which they just confirmed in the last

0:02:07.080 --> 0:02:10.480
<v Speaker 3>hour or so. Apple under pressure down a percentage point,

0:02:10.560 --> 0:02:14.760
<v Speaker 3>a lot about their failure in court to appeal the

0:02:14.800 --> 0:02:17.960
<v Speaker 3>original quarter of appeal's outstore decision, but data out overnight

0:02:18.280 --> 0:02:22.040
<v Speaker 3>Visa VI, their position against sam Sum in the global market.

0:02:22.080 --> 0:02:23.800
<v Speaker 3>We're going to go to Bloombos Mark German on that.

0:02:24.040 --> 0:02:26.840
<v Speaker 3>And then Alphabet continuing to be under pressure. The story

0:02:26.880 --> 0:02:30.280
<v Speaker 3>with Alphabet Pan Google has been one of layoffs now

0:02:30.400 --> 0:02:33.880
<v Speaker 3>here's what's happening today. The SEC and Coinbase are swearing

0:02:33.880 --> 0:02:37.080
<v Speaker 3>off in court, as the crypto exchange argues the regulator

0:02:37.440 --> 0:02:41.800
<v Speaker 3>is overstepping its authority. After the regulator sued the company

0:02:41.800 --> 0:02:45.680
<v Speaker 3>in June of twenty twenty three for operating as quote,

0:02:45.720 --> 0:02:50.480
<v Speaker 3>an illegal securities exchange. Bloomberg Shnali Bassek sat down with

0:02:50.560 --> 0:02:54.520
<v Speaker 3>coinbas CEO Brian Armstrong to discuss the legal battle ahead

0:02:54.720 --> 0:02:55.720
<v Speaker 3>at the end of last year.

0:02:55.840 --> 0:02:56.360
<v Speaker 4>Listen to this.

0:02:57.240 --> 0:02:59.519
<v Speaker 5>We work with regulators all over the world. Are the

0:02:59.560 --> 0:03:03.520
<v Speaker 5>regulars here in the US. I think I'm a reasonable

0:03:03.520 --> 0:03:07.360
<v Speaker 5>person to get along with. But unfortunately the SEC under

0:03:07.960 --> 0:03:11.519
<v Speaker 5>this chair has taken a regulation by enforcement approach instead

0:03:11.520 --> 0:03:13.480
<v Speaker 5>of creating a clear rule book in the US that

0:03:13.520 --> 0:03:15.720
<v Speaker 5>can allow this industry to be built in a safe

0:03:15.720 --> 0:03:16.399
<v Speaker 5>and trusted way.

0:03:16.800 --> 0:03:19.720
<v Speaker 3>Joining US now is Bloomberg Shinali basegad in New York.

0:03:19.800 --> 0:03:20.280
<v Speaker 4>Can look.

0:03:20.720 --> 0:03:23.200
<v Speaker 3>It's an interesting Wednesday morning. I think there's a lot

0:03:23.240 --> 0:03:26.560
<v Speaker 3>of eyeballs on this, a lot of anticipation on the

0:03:26.600 --> 0:03:28.400
<v Speaker 3>battle between coinbase and SEC.

0:03:28.440 --> 0:03:30.760
<v Speaker 4>Give me the basics of the dispute.

0:03:31.160 --> 0:03:33.919
<v Speaker 6>The base six of the dispute was that you had

0:03:33.919 --> 0:03:36.640
<v Speaker 6>the SEC in the middle of last year sou Coinbase

0:03:37.120 --> 0:03:41.760
<v Speaker 6>saying that they had operated as an unregistered exchange and broker,

0:03:42.040 --> 0:03:45.000
<v Speaker 6>and they also targeted more than a dozen assets listed

0:03:45.080 --> 0:03:49.360
<v Speaker 6>on the exchange, saying that they were listed as unregistered securities.

0:03:49.640 --> 0:03:53.160
<v Speaker 6>So you had the fight back from Coinbase saying that

0:03:53.600 --> 0:03:56.280
<v Speaker 6>they should be dismissing this. They foul a motion to dismiss,

0:03:56.560 --> 0:03:59.080
<v Speaker 6>and we are going through the process. Now, this could

0:03:59.120 --> 0:04:03.160
<v Speaker 6>be a very long process because Coinbase is really fighting

0:04:03.280 --> 0:04:06.960
<v Speaker 6>a lot of definitions here, particularly the idea of all

0:04:07.000 --> 0:04:10.160
<v Speaker 6>of these assets being on listed securities and the meaning

0:04:10.240 --> 0:04:15.600
<v Speaker 6>of an investment contract versus investment on its own. Now,

0:04:15.640 --> 0:04:18.919
<v Speaker 6>remember a lot of this lawsuit really goes around the

0:04:18.960 --> 0:04:23.880
<v Speaker 6>idea here of the SEC overstepping its reach as mandated

0:04:23.920 --> 0:04:26.840
<v Speaker 6>by the law. Now we'll see how this goes on,

0:04:26.960 --> 0:04:29.040
<v Speaker 6>but there is a chance that this could take weeks,

0:04:29.360 --> 0:04:32.120
<v Speaker 6>even months. It could go well into the next year

0:04:32.240 --> 0:04:34.680
<v Speaker 6>or so, depending on how the judges rule. This is

0:04:34.720 --> 0:04:37.880
<v Speaker 6>a case that could go into discovery. But certainly the

0:04:37.960 --> 0:04:40.520
<v Speaker 6>reason it's so highly watched by the industry, not just

0:04:40.600 --> 0:04:44.040
<v Speaker 6>investors of coinbase, is because it does fundamentally get down

0:04:44.080 --> 0:04:48.280
<v Speaker 6>to the heart of the SEC's jurisdiction of the crypto industry,

0:04:48.360 --> 0:04:51.599
<v Speaker 6>as well as what is and isn't a security when

0:04:51.640 --> 0:04:54.159
<v Speaker 6>it comes to all of these tokens that are listed

0:04:54.200 --> 0:04:55.120
<v Speaker 6>on these exchanges.

0:04:56.120 --> 0:04:58.440
<v Speaker 3>All right, BLOOMBOGTIONALI basseg that is one you will be

0:04:58.520 --> 0:05:01.799
<v Speaker 3>watching closely throughout when and I'm sure we'll discuss twenty

0:05:01.839 --> 0:05:03.960
<v Speaker 3>four hours from now, Thank you very much. We've got

0:05:03.960 --> 0:05:06.640
<v Speaker 3>to head over to Davos and what's happening in Switzerland.

0:05:06.640 --> 0:05:08.320
<v Speaker 4>Cisco CEO Chuck Robin.

0:05:08.160 --> 0:05:12.440
<v Speaker 3>Sat down with Bloomberg's Jonathan Ferrow to discuss Cisco's transition

0:05:12.960 --> 0:05:16.119
<v Speaker 3>to being a software company amid an AI boom.

0:05:16.200 --> 0:05:16.760
<v Speaker 4>Listen to this.

0:05:17.480 --> 0:05:21.120
<v Speaker 7>There's still more to do. There's still more software assets

0:05:21.160 --> 0:05:23.600
<v Speaker 7>we can build organically, probably some men organic stuff we

0:05:23.640 --> 0:05:23.880
<v Speaker 7>can do.

0:05:24.400 --> 0:05:25.240
<v Speaker 4>But at the same.

0:05:25.080 --> 0:05:30.200
<v Speaker 7>Time, with the AI explosion, we're a significant recipient of

0:05:30.240 --> 0:05:34.360
<v Speaker 7>the infrastructure benefit underneath the GPUs in both the web

0:05:34.400 --> 0:05:37.160
<v Speaker 7>scale as well as ultimately in the enterprise. So our

0:05:37.200 --> 0:05:41.520
<v Speaker 7>hardware business, which in some cases has subscriptions associated with

0:05:41.600 --> 0:05:43.960
<v Speaker 7>and some cases do not, we think that both of

0:05:43.960 --> 0:05:45.800
<v Speaker 7>them can grow over the next few years.

0:05:46.000 --> 0:05:47.560
<v Speaker 8>This is a tough question to answer, but do you

0:05:47.560 --> 0:05:50.600
<v Speaker 8>think investors have fully internalized your view on where things

0:05:50.600 --> 0:05:52.560
<v Speaker 8>are going and your message.

0:05:52.760 --> 0:05:54.960
<v Speaker 7>I think they've internalized the message. I think they're just

0:05:55.040 --> 0:05:56.839
<v Speaker 7>looking for. One of the things that we've talked about

0:05:56.920 --> 0:06:00.000
<v Speaker 7>is that this transition to software should give us more

0:06:00.120 --> 0:06:05.040
<v Speaker 7>predictability and less volatility. And we've seen that come into play,

0:06:05.560 --> 0:06:07.320
<v Speaker 7>but we still probably have a little bit too much.

0:06:07.640 --> 0:06:11.760
<v Speaker 7>And so we've been rewarded for what we've accomplished, and

0:06:11.800 --> 0:06:13.799
<v Speaker 7>I think as we continue to do that, we continue

0:06:13.839 --> 0:06:16.279
<v Speaker 7>to deliver, you'll see that in the future.

0:06:16.400 --> 0:06:18.240
<v Speaker 8>You know, from bankre for a couple of days, everyone

0:06:18.279 --> 0:06:20.560
<v Speaker 8>wants to be a part of the AI story. What

0:06:20.680 --> 0:06:24.039
<v Speaker 8>surprised us, I speak for myself. What surprised me last

0:06:24.120 --> 0:06:27.279
<v Speaker 8>year is how quickly it became real. It wasn't just

0:06:27.279 --> 0:06:29.680
<v Speaker 8>a story that companies were selling. It was something they

0:06:29.680 --> 0:06:32.719
<v Speaker 8>were monetizing. And the growth was exponential in some cases,

0:06:32.720 --> 0:06:34.800
<v Speaker 8>and VideA a great example of that. Can you walk

0:06:34.880 --> 0:06:37.320
<v Speaker 8>us through on way you're seeing actual, real tangible growth

0:06:37.400 --> 0:06:39.200
<v Speaker 8>right now off the back of what's developing.

0:06:39.560 --> 0:06:41.839
<v Speaker 7>Yeah, I've actually told my team you're not allowed to

0:06:42.000 --> 0:06:45.440
<v Speaker 7>espouse about AI unless you follow it with a tangible

0:06:45.600 --> 0:06:48.520
<v Speaker 7>way that we're implementing whatever you were talking about, because

0:06:48.520 --> 0:06:52.360
<v Speaker 7>there's so much noise in the system. Look, I think

0:06:52.400 --> 0:06:56.279
<v Speaker 7>if we're building the infrastructure that's going to support underpinning

0:06:56.320 --> 0:07:00.599
<v Speaker 7>all the AI networks. So that's happening today. We're running

0:07:00.600 --> 0:07:03.440
<v Speaker 7>pilots right now with webscale players. We're working on We're

0:07:03.440 --> 0:07:07.200
<v Speaker 7>working on a lot of design around future integrated stacks

0:07:07.200 --> 0:07:08.720
<v Speaker 7>that we're going to take to the enterprise to help

0:07:08.760 --> 0:07:13.120
<v Speaker 7>them do it. Secondly, we're looking at how we can

0:07:13.200 --> 0:07:16.240
<v Speaker 7>deliver a better customer experience for our customers by leveraging

0:07:16.600 --> 0:07:19.760
<v Speaker 7>jen Ai, which everybody, every company is or should be doing.

0:07:20.720 --> 0:07:24.480
<v Speaker 7>We're building security assistance as an example, to help customers

0:07:24.560 --> 0:07:26.840
<v Speaker 7>navigate all the security tools you have and actually make

0:07:26.960 --> 0:07:29.320
<v Speaker 7>sense of a lot of it more rapidly. We're doing

0:07:29.360 --> 0:07:33.720
<v Speaker 7>the same in collaboration. We're transcribing meetings and so there's

0:07:33.720 --> 0:07:35.760
<v Speaker 7>a lot of stuff that's going on right now. But

0:07:35.840 --> 0:07:38.800
<v Speaker 7>I do think some of the greatest applications we have

0:07:38.880 --> 0:07:39.960
<v Speaker 7>no idea what they are yet.

0:07:40.200 --> 0:07:44.960
<v Speaker 3>That was Cisco CEO Chuck Robins add in a snowy Davos. Meanwhile,

0:07:45.000 --> 0:07:49.760
<v Speaker 3>another story we're tracking computing, quantum computing create a cyber

0:07:49.840 --> 0:07:54.440
<v Speaker 3>security armageddon is the question. The answer yes, According to

0:07:54.480 --> 0:07:59.120
<v Speaker 3>one executive from IBM. Quantum computers, which accelerate processing power

0:07:59.240 --> 0:08:03.840
<v Speaker 3>by performing calculations in parallel rather than sequentially, will make

0:08:03.920 --> 0:08:08.720
<v Speaker 3>existing encryption systems obsolete. Speaking in Davos, IBM's general manager

0:08:08.720 --> 0:08:12.920
<v Speaker 3>for EMEA sees the quantum era coming by twenty thirty,

0:08:12.960 --> 0:08:15.960
<v Speaker 3>so a little weight on an exciting nascent technology, and

0:08:15.960 --> 0:08:18.160
<v Speaker 3>they're coming up here on the program, we're going to

0:08:18.160 --> 0:08:20.400
<v Speaker 3>talk about the state of the global supply chain amid

0:08:20.520 --> 0:08:23.200
<v Speaker 3>the crisis and what's happening in the Red Sea with

0:08:23.280 --> 0:08:33.920
<v Speaker 3>Core Kose, chief industry officer at Everstream Analytics.

0:08:35.040 --> 0:08:36.880
<v Speaker 9>You can't predict how long this will last, but even

0:08:36.920 --> 0:08:38.400
<v Speaker 9>if it lasts a long time, I think you'll see

0:08:38.400 --> 0:08:40.480
<v Speaker 9>that the ocean market kind of stabilized and gets to

0:08:40.520 --> 0:08:45.480
<v Speaker 9>a relatively normal pricing environment versus long term historical averages.

0:08:45.520 --> 0:08:47.640
<v Speaker 9>Of course, it'll be higher than it was going to

0:08:47.679 --> 0:08:50.679
<v Speaker 9>be if this hadn't happened, but I think the world

0:08:50.720 --> 0:08:51.400
<v Speaker 9>will recover.

0:08:54.000 --> 0:08:56.280
<v Speaker 3>You cannot predict how long the impact will last, but

0:08:56.320 --> 0:08:59.520
<v Speaker 3>we're doing everything we can on Bloomberg technology to track

0:08:59.559 --> 0:09:02.240
<v Speaker 3>that impact in real time. That was Ryan Pederson of

0:09:02.280 --> 0:09:05.080
<v Speaker 3>Flexport with us the other day with his outlook for

0:09:05.120 --> 0:09:08.480
<v Speaker 3>the supply chain impact amid the Red Sea crisis. Earlier

0:09:08.520 --> 0:09:10.920
<v Speaker 3>today we heard from the CEO of MASK who says

0:09:10.960 --> 0:09:14.240
<v Speaker 3>these events will hamper transit for a few months.

0:09:14.280 --> 0:09:14.400
<v Speaker 4>Now.

0:09:14.480 --> 0:09:18.160
<v Speaker 3>Joining us now is Core Kose, chief industry officer at

0:09:18.200 --> 0:09:23.160
<v Speaker 3>Everstream Analytics, a leading supply chain insights and risk analytics company.

0:09:23.160 --> 0:09:25.880
<v Speaker 3>And you also have the latest data. The latest is

0:09:25.920 --> 0:09:29.040
<v Speaker 3>that around two hundred billion dollars worth of goods or

0:09:29.120 --> 0:09:33.720
<v Speaker 3>volume of goods have been diverted to new routes because

0:09:33.760 --> 0:09:34.480
<v Speaker 3>of the Red Sea.

0:09:34.679 --> 0:09:37.400
<v Speaker 4>Just explain that that data and that math to us.

0:09:38.440 --> 0:09:40.720
<v Speaker 10>Yeah, absolutely, thank you for having me yet today.

0:09:41.000 --> 0:09:44.400
<v Speaker 11>So when we're looking at the current shipping decisions, a

0:09:44.400 --> 0:09:48.200
<v Speaker 11>lot of companies have decided to take the longer route.

0:09:48.720 --> 0:09:51.000
<v Speaker 11>Until that decision was made, of course, some of it

0:09:51.120 --> 0:09:55.080
<v Speaker 11>was halted before going the longer route. So the amount

0:09:55.080 --> 0:09:58.880
<v Speaker 11>that volume of trade that has been delayed not stop

0:09:59.040 --> 0:10:03.000
<v Speaker 11>necessarily at around two hundred billion dollars. Now, compare that

0:10:03.120 --> 0:10:06.440
<v Speaker 11>to the traffic jam at the Panama Canal that was

0:10:06.600 --> 0:10:09.880
<v Speaker 11>around two hundred and seventy billion dollars as of the

0:10:09.960 --> 0:10:13.280
<v Speaker 11>latest data, and compared to the South China Sea trade

0:10:13.520 --> 0:10:16.160
<v Speaker 11>that we're looking at the yearly volume of five trillion

0:10:16.280 --> 0:10:18.439
<v Speaker 11>to just give you a little bit of perspective, there

0:10:18.480 --> 0:10:22.000
<v Speaker 11>is somewhat of a traffic gem, but not necessarily a

0:10:22.080 --> 0:10:25.640
<v Speaker 11>chalk point at this current time for economies around the globe.

0:10:25.840 --> 0:10:28.839
<v Speaker 3>Yeah, I spoke to a source at Tesla at the

0:10:28.920 --> 0:10:32.040
<v Speaker 3>end of last week and the way that the source

0:10:32.080 --> 0:10:35.760
<v Speaker 3>explained it to me was that Tesla had to divert

0:10:36.000 --> 0:10:40.199
<v Speaker 3>ships that were carrying components destined for its Berlin plants.

0:10:40.880 --> 0:10:43.440
<v Speaker 3>But it's not that those components won't get there at all,

0:10:43.520 --> 0:10:45.320
<v Speaker 3>they're just going to take longer to get there. And

0:10:45.360 --> 0:10:48.240
<v Speaker 3>you would have seen the reports, including from Bloomberg that

0:10:48.360 --> 0:10:50.679
<v Speaker 3>as a result, they're going to have some downtime at

0:10:50.679 --> 0:10:53.680
<v Speaker 3>that plant to make up for the shortfall and product.

0:10:54.280 --> 0:10:55.640
<v Speaker 4>But there's also a cost.

0:10:55.400 --> 0:10:59.280
<v Speaker 3>Consideration in how much a technology company has to pay

0:10:59.760 --> 0:11:03.880
<v Speaker 3>to move those goods. What are you saying on that side, So.

0:11:03.800 --> 0:11:06.640
<v Speaker 11>We're looking at, of course a cost increase from the

0:11:06.679 --> 0:11:12.120
<v Speaker 11>perspective of the logistics burden. But in comparison and maybe counterintuitive,

0:11:12.240 --> 0:11:15.599
<v Speaker 11>the current route through the Sewers Canal, with the increased

0:11:15.720 --> 0:11:19.080
<v Speaker 11>rates and insurance and also the cost of the canal,

0:11:19.559 --> 0:11:23.199
<v Speaker 11>is actually more expensive than the longer route at the

0:11:23.240 --> 0:11:25.560
<v Speaker 11>same time of course, we're looking at a two weeks

0:11:25.600 --> 0:11:30.960
<v Speaker 11>longer period of transit and given supply chains operating highly efficiently,

0:11:31.080 --> 0:11:35.520
<v Speaker 11>especially in automotive for instance, where after a period of normalization,

0:11:36.080 --> 0:11:39.920
<v Speaker 11>cost management has taken a priority. In the overall management,

0:11:40.200 --> 0:11:44.079
<v Speaker 11>we're looking at just in time environments being re established.

0:11:44.080 --> 0:11:46.959
<v Speaker 11>So a two weeks period of time is actually the

0:11:48.000 --> 0:11:52.840
<v Speaker 11>underlying factor for some of those production closures. At Suzuki

0:11:53.000 --> 0:11:55.840
<v Speaker 11>Volvo it's only a couple days, so they managed it

0:11:55.960 --> 0:12:00.280
<v Speaker 11>quite efficiently. In that Volkswagen has not announced any of it,

0:12:00.840 --> 0:12:04.160
<v Speaker 11>and Tesla has announced around two weeks off a production stuff.

0:12:04.440 --> 0:12:07.320
<v Speaker 11>So we can also look at how those inventry management

0:12:07.400 --> 0:12:13.480
<v Speaker 11>systems are established. Back to pre pandemic KPIs.

0:12:13.760 --> 0:12:16.920
<v Speaker 3>Okay, Corey KSEEV everystream analytics with the real time data

0:12:17.000 --> 0:12:19.240
<v Speaker 3>impact of what's happening in the Red Sea.

0:12:19.760 --> 0:12:21.280
<v Speaker 4>Thank you. Let's head back to Dabos.

0:12:21.320 --> 0:12:25.360
<v Speaker 3>Christiano Ramon quowcom CEO, spoke with Bloombergs, Jonathan Ferrer and

0:12:25.440 --> 0:12:29.320
<v Speaker 3>A Marie Horden about business in another key market, China.

0:12:30.280 --> 0:12:34.120
<v Speaker 1>Our business actually with China actually increase as we diversify,

0:12:34.960 --> 0:12:38.400
<v Speaker 1>you know, our company not only into phones but into

0:12:38.520 --> 0:12:43.680
<v Speaker 1>PCs and cars and industrial we expanded our relationships with China.

0:12:43.720 --> 0:12:47.320
<v Speaker 1>Here's my simple answer. I think to that question, any

0:12:47.480 --> 0:12:51.800
<v Speaker 1>company that has a leading technology product and is a

0:12:51.840 --> 0:12:54.839
<v Speaker 1>product that becomes very important for the digital transformation of

0:12:54.920 --> 0:12:58.000
<v Speaker 1>many industries such as automotive and others, you're going to

0:12:58.040 --> 0:12:59.760
<v Speaker 1>have a big business and channel. It's just a function

0:12:59.800 --> 0:13:04.400
<v Speaker 1>of I think we have been so far in a

0:13:04.440 --> 0:13:07.600
<v Speaker 1>stable place. We have to monitor the situation like every

0:13:07.679 --> 0:13:11.480
<v Speaker 1>other company, and you know, I will continue to believe

0:13:11.559 --> 0:13:13.439
<v Speaker 1>and that's what I had said. At the end of

0:13:13.440 --> 0:13:17.720
<v Speaker 1>the day, strong commercial relationships between American enterprises and our

0:13:17.800 --> 0:13:21.320
<v Speaker 1>Chinese counterparts will be one of the things that could

0:13:21.360 --> 0:13:23.120
<v Speaker 1>bring stability to the relationship.

0:13:23.280 --> 0:13:26.000
<v Speaker 12>Does that monitoring get more challenging if you were to

0:13:26.000 --> 0:13:28.200
<v Speaker 12>see a former President Trump went back to the White

0:13:28.240 --> 0:13:28.920
<v Speaker 12>House next year.

0:13:29.280 --> 0:13:33.439
<v Speaker 1>Look, we're just focused on our technology and we want

0:13:33.480 --> 0:13:36.920
<v Speaker 1>to have markets that we can sell our technology. I

0:13:36.920 --> 0:13:39.560
<v Speaker 1>think at the end of the day, one important thing

0:13:39.679 --> 0:13:45.400
<v Speaker 1>to understand is certain certain technologies are globally interconnected. So

0:13:46.000 --> 0:13:48.400
<v Speaker 1>you're going to have customers in different locations. You have

0:13:48.400 --> 0:13:50.680
<v Speaker 1>customers in Europe and Japan, they will have a business

0:13:50.679 --> 0:13:52.680
<v Speaker 1>in China as well, And you want to be a

0:13:52.720 --> 0:13:53.880
<v Speaker 1>global supplier to them.

0:13:53.920 --> 0:13:55.560
<v Speaker 8>I can see the cull calls saying, just round a corner.

0:13:55.679 --> 0:13:57.360
<v Speaker 8>Very happy with that response that you didn't take to

0:13:57.360 --> 0:13:59.640
<v Speaker 8>buy and talk about the form of President Christna. I

0:13:59.640 --> 0:14:01.400
<v Speaker 8>want to tell about the direction of traveling the global

0:14:01.440 --> 0:14:05.080
<v Speaker 8>economy for chip maker, just for the industry. Do you

0:14:05.080 --> 0:14:06.559
<v Speaker 8>think we're close to the point where they have to

0:14:06.559 --> 0:14:09.160
<v Speaker 8>pick a country, have to choose a side. We're either

0:14:09.160 --> 0:14:12.200
<v Speaker 8>going to supply China or we're supplying Europe in America.

0:14:12.320 --> 0:14:13.680
<v Speaker 8>How close are we to that moment?

0:14:14.280 --> 0:14:16.960
<v Speaker 1>Look, I don't think we are right now at this

0:14:17.080 --> 0:14:21.800
<v Speaker 1>point in the industries that we serve, and it's one

0:14:21.840 --> 0:14:24.880
<v Speaker 1>of those things that, yeah, if it changes, I think

0:14:24.920 --> 0:14:29.120
<v Speaker 1>companies have to adapt. We have seen that some industries

0:14:29.520 --> 0:14:30.320
<v Speaker 1>had to face that.

0:14:30.600 --> 0:14:31.400
<v Speaker 6>You have some.

0:14:31.480 --> 0:14:34.240
<v Speaker 1>Industries that that's kind of the reality for different reasons,

0:14:34.280 --> 0:14:37.160
<v Speaker 1>whether it's a cloud company or social media company at

0:14:37.160 --> 0:14:40.520
<v Speaker 1>et cetera. We have been not at this space. So

0:14:41.400 --> 0:14:43.040
<v Speaker 1>it's something that we're going to have to worry about

0:14:43.040 --> 0:14:43.760
<v Speaker 1>in in the future.

0:14:43.920 --> 0:14:45.360
<v Speaker 13>What industry do you think is going to be the

0:14:45.400 --> 0:14:46.600
<v Speaker 13>biggest area of growth for you?

0:14:47.920 --> 0:14:52.840
<v Speaker 1>We are very pleased what's happening with automotive. We're now

0:14:52.880 --> 0:14:56.080
<v Speaker 1>working with virtually every car company. The car is becoming

0:14:56.080 --> 0:14:58.920
<v Speaker 1>a new computing space, and we are jobs to provide

0:14:58.960 --> 0:15:03.360
<v Speaker 1>the digital part sometimes to go alongside electrification. That's an

0:15:03.400 --> 0:15:06.560
<v Speaker 1>exciting it's going to build revenue for welcome over time.

0:15:06.640 --> 0:15:09.560
<v Speaker 1>The other one that was really happy about it.

0:15:09.480 --> 0:15:10.480
<v Speaker 4>And it's new to us.

0:15:10.480 --> 0:15:14.520
<v Speaker 1>We're entering the PC space. We just build now in

0:15:14.800 --> 0:15:18.720
<v Speaker 1>the fastest processor for any laptop, and we think that

0:15:18.800 --> 0:15:20.360
<v Speaker 1>could be a great opportunity for us.

0:15:20.560 --> 0:15:24.160
<v Speaker 3>Call com CEO Cristiano I'm on earlier and another key

0:15:24.160 --> 0:15:27.520
<v Speaker 3>conversation from Davos, and let's stay in Davos. The looming

0:15:27.600 --> 0:15:31.240
<v Speaker 3>presidential election in the US this year will face risks

0:15:31.480 --> 0:15:35.080
<v Speaker 3>with the rise of artificial intelligence. Leaders in AI, including

0:15:35.120 --> 0:15:38.720
<v Speaker 3>open Ais, Sam Outman, and Microsoft founder Bill Gates wade

0:15:38.720 --> 0:15:41.040
<v Speaker 3>in this week on the matter at Davos, and all

0:15:41.440 --> 0:15:46.040
<v Speaker 3>said they took the threat of artificial intelligence on elections seriously,

0:15:46.440 --> 0:15:48.880
<v Speaker 3>but there was a split in whether they thought a

0:15:49.000 --> 0:15:52.520
<v Speaker 3>major disruption was likely. We'll keep tracking that one now

0:15:52.520 --> 0:15:54.680
<v Speaker 3>coming up here on the program. We stick with AI

0:15:54.720 --> 0:15:57.520
<v Speaker 3>as in thropic. It's coming up with new tools to

0:15:57.600 --> 0:16:00.880
<v Speaker 3>its own chat or Claude. It's something a little bit

0:16:00.920 --> 0:16:21.200
<v Speaker 3>more visual. We'll discuss that next this is Bloomberg Technology. Okay,

0:16:21.200 --> 0:16:23.400
<v Speaker 3>it's time for talking tech and first up in the news,

0:16:23.400 --> 0:16:27.440
<v Speaker 3>A federal appeals court denied the latest challenge from x

0:16:27.720 --> 0:16:31.360
<v Speaker 3>to a special council demand for data from Donald Trump's

0:16:31.640 --> 0:16:35.480
<v Speaker 3>Twitter or x account. The non disclosure order is received

0:16:35.560 --> 0:16:38.480
<v Speaker 3>as part of a search warrant for a criminal investigation

0:16:38.600 --> 0:16:43.240
<v Speaker 3>into Trump's attempt to overturn the twenty twenty election. Plus

0:16:43.280 --> 0:16:46.280
<v Speaker 3>OpenAI is now working with the Pentagon on a number

0:16:46.320 --> 0:16:51.560
<v Speaker 3>of projects, including cybersecurity capabilities and veteran projects. Departing from

0:16:51.560 --> 0:16:56.120
<v Speaker 3>the startups earlier ban on providing its AI to militaries,

0:16:56.600 --> 0:16:59.880
<v Speaker 3>and a new initiative will evaluate and certify AI products

0:17:00.120 --> 0:17:04.080
<v Speaker 3>as copyright compliant. The stamp of approval is conducted by

0:17:04.119 --> 0:17:07.960
<v Speaker 3>the nonprofit Fairly Trained, which was founded by the former

0:17:08.040 --> 0:17:11.480
<v Speaker 3>vice president of Audio for Stability AI and in the

0:17:11.480 --> 0:17:14.920
<v Speaker 3>world of AI startups. Anthropic is working on a feature

0:17:15.080 --> 0:17:18.359
<v Speaker 3>that would give its chatbot Claud, the ability to analyze images.

0:17:18.640 --> 0:17:22.160
<v Speaker 3>This is according to unpublished wording contained in the code

0:17:22.560 --> 0:17:25.720
<v Speaker 3>of the company's website. This tool could widen the products

0:17:25.760 --> 0:17:28.879
<v Speaker 3>appeal to users and help the company catch up with

0:17:29.119 --> 0:17:33.199
<v Speaker 3>larger competitors. Let's break it all down with the best

0:17:33.359 --> 0:17:35.159
<v Speaker 3>person possible Boom Both.

0:17:35.119 --> 0:17:37.280
<v Speaker 4>Rachel metz Ai, Reporter.

0:17:37.560 --> 0:17:40.080
<v Speaker 3>This is interesting because I hear about Anthropic all the

0:17:40.119 --> 0:17:45.119
<v Speaker 3>time as the kind of LLM and chatbot number two

0:17:45.160 --> 0:17:49.199
<v Speaker 3>behind open Ai, a big competitor. But this takes it

0:17:49.240 --> 0:17:51.000
<v Speaker 3>from text into the image domain.

0:17:51.119 --> 0:17:51.840
<v Speaker 4>What did you learn?

0:17:52.280 --> 0:17:55.439
<v Speaker 14>Yeah, so I looked to add some of the code

0:17:55.480 --> 0:17:57.720
<v Speaker 14>that you wouldn't see if you were on the website

0:17:57.760 --> 0:17:59.040
<v Speaker 14>itself chatting with Clod.

0:17:59.119 --> 0:18:00.520
<v Speaker 4>But it's really easy.

0:18:00.560 --> 0:18:03.600
<v Speaker 14>Anybody can do this by using some tools that Chrome enables,

0:18:03.640 --> 0:18:07.959
<v Speaker 14>they're called developer tools. And looked at the code that

0:18:08.040 --> 0:18:10.920
<v Speaker 14>is used for the website and it indicates that they

0:18:10.920 --> 0:18:14.280
<v Speaker 14>may be working on an image analysis feature. It says

0:18:14.760 --> 0:18:18.400
<v Speaker 14>there are things like chat with pod about images, tell

0:18:18.480 --> 0:18:21.600
<v Speaker 14>me more buildings by this architect, things like that that

0:18:21.720 --> 0:18:24.520
<v Speaker 14>we expect will be coming soon to users of class.

0:18:24.600 --> 0:18:28.440
<v Speaker 3>And so that puts Anthropic into a battleground with who, with.

0:18:28.800 --> 0:18:33.400
<v Speaker 14>Open Ai and also with Google. Right now, there are

0:18:33.560 --> 0:18:37.240
<v Speaker 14>an increasing number of what are often called multimodal models.

0:18:37.280 --> 0:18:40.640
<v Speaker 14>These are these large language models that can take in

0:18:40.720 --> 0:18:44.439
<v Speaker 14>not just a text prompt from a person, but also

0:18:44.680 --> 0:18:47.840
<v Speaker 14>an image and maybe an image plus some words and

0:18:47.880 --> 0:18:50.919
<v Speaker 14>then give you a result describing the image. Maybe you

0:18:50.920 --> 0:18:52.720
<v Speaker 14>could give it an image of a dog and say

0:18:52.800 --> 0:18:54.240
<v Speaker 14>what kind of dog is this, or what kind of

0:18:54.240 --> 0:18:54.879
<v Speaker 14>plant is this?

0:18:55.520 --> 0:18:56.320
<v Speaker 4>Or two images.

0:18:56.720 --> 0:18:59.040
<v Speaker 14>That was one of the things that we found on

0:18:59.080 --> 0:19:02.320
<v Speaker 14>the Claude website that is invisible to useurs yet describe

0:19:02.320 --> 0:19:04.040
<v Speaker 14>the differences between these two images.

0:19:04.080 --> 0:19:04.760
<v Speaker 10>That sort of thing.

0:19:05.160 --> 0:19:09.919
<v Speaker 3>Bloomberg's Rachel Metz, who analyze the company website's underlying code

0:19:10.440 --> 0:19:13.760
<v Speaker 3>in that reporting, thank you very much. Meanwhile, another story

0:19:13.760 --> 0:19:18.000
<v Speaker 3>we're tracking, Apple's iPhone has dethroned Samsung devices to become

0:19:18.080 --> 0:19:21.359
<v Speaker 3>the best selling smartphone series over the course of twenty

0:19:21.359 --> 0:19:23.920
<v Speaker 3>twenty three, and Samsung's gearing up for one of its

0:19:23.920 --> 0:19:28.240
<v Speaker 3>most anticipated phone launches in years later. On let's bring

0:19:28.240 --> 0:19:31.639
<v Speaker 3>in Bloomberg's chief correspondent Mark German for more on the

0:19:31.680 --> 0:19:34.640
<v Speaker 3>smartphone battle. You know, this was something that like Tim Cook,

0:19:34.680 --> 0:19:37.680
<v Speaker 3>really leaned into in the last earnings, particularly in China,

0:19:37.720 --> 0:19:41.280
<v Speaker 3>that they feel they were the best selling handset. You know,

0:19:41.320 --> 0:19:45.280
<v Speaker 3>how significant is it that Apple defroned Samsung over the

0:19:45.280 --> 0:19:46.520
<v Speaker 3>course of twenty three.

0:19:46.720 --> 0:19:50.000
<v Speaker 15>Certainly a victory, right, given everything going on, It's a.

0:19:49.920 --> 0:19:50.640
<v Speaker 4>Really big deal.

0:19:50.840 --> 0:19:52.399
<v Speaker 15>I think they got a little bit of a boost

0:19:52.440 --> 0:19:56.720
<v Speaker 15>on iPhone sales across calendar year twenty twenty three because

0:19:56.760 --> 0:19:59.280
<v Speaker 15>of the production hiccups at the end of calendar twenty

0:19:59.320 --> 0:20:02.360
<v Speaker 15>twenty two with the iPhone fourteen Pro. If you remember,

0:20:03.000 --> 0:20:06.240
<v Speaker 15>right after the fourteen Pro launched, Apple had to pause

0:20:06.280 --> 0:20:10.520
<v Speaker 15>production for several weeks due to China's then existing COVID protocols,

0:20:10.520 --> 0:20:12.600
<v Speaker 15>which had to shut down fox Con and some of

0:20:12.640 --> 0:20:15.560
<v Speaker 15>the peripheral factories, right, and so you saw some of

0:20:15.560 --> 0:20:18.119
<v Speaker 15>those sales and those unit shipments hold off until the

0:20:18.119 --> 0:20:20.919
<v Speaker 15>calendar turned into twenty twenty three when that issue was

0:20:20.960 --> 0:20:23.760
<v Speaker 15>resolved after a matter of weeks. Then you combine that

0:20:23.840 --> 0:20:26.040
<v Speaker 15>with the success of the iPhone fifteen Pro out of

0:20:26.040 --> 0:20:29.760
<v Speaker 15>the gate, this is really good news for Apple. You know,

0:20:29.920 --> 0:20:32.360
<v Speaker 15>I think that Samsung, what they've done is they've tried

0:20:32.400 --> 0:20:34.840
<v Speaker 15>to diversify their smartphone line. They have sort of their

0:20:34.840 --> 0:20:38.400
<v Speaker 15>flagship phones, which are the phones that are being introduced today.

0:20:38.480 --> 0:20:41.000
<v Speaker 15>Those are the Galaxy S series, and then they have

0:20:41.040 --> 0:20:44.360
<v Speaker 15>the Galaxy Fold series and the Galaxy Flip series, right,

0:20:44.400 --> 0:20:47.840
<v Speaker 15>So they really segmented their smartphone market with even higher

0:20:47.880 --> 0:20:50.600
<v Speaker 15>priced phones. And while over time, I think you're going

0:20:50.640 --> 0:20:54.440
<v Speaker 15>to ultimately see a shift to foldables. Right, foldables maybe

0:20:54.440 --> 0:20:56.480
<v Speaker 15>one day, five years from now, I think could be

0:20:56.520 --> 0:20:59.400
<v Speaker 15>the majority share of the smartphone market for now, though

0:20:59.480 --> 0:21:01.920
<v Speaker 15>that segmentation has created a little bit of a shipment

0:21:01.960 --> 0:21:05.400
<v Speaker 15>issue for Samsung because of those high prices. Right, So

0:21:05.480 --> 0:21:07.760
<v Speaker 15>for now, Apple's back in the lead for the first

0:21:07.760 --> 0:21:10.720
<v Speaker 15>time since around the iPhone four came out, Right, remember

0:21:10.800 --> 0:21:13.439
<v Speaker 15>that back in twenty ten. And it's interesting that this

0:21:13.480 --> 0:21:15.920
<v Speaker 15>news arise as Samsung, like you said, it's about to

0:21:15.960 --> 0:21:19.520
<v Speaker 15>make a very significant announcement with their new twenty four series.

0:21:20.000 --> 0:21:21.719
<v Speaker 4>All right, Bloombos, mark Gum and thank you.

0:21:21.800 --> 0:21:24.040
<v Speaker 3>Victory for Apple with the shares still under pressure in

0:21:24.119 --> 0:21:26.239
<v Speaker 3>recent sessions. Now, coming up on the program, we'll get

0:21:26.240 --> 0:21:29.200
<v Speaker 3>an update on the tech job's landscape with Lettis Lattice

0:21:29.240 --> 0:21:41.280
<v Speaker 3>CEO Sarah Franklin. Okay, welcome back to Bloomberg Technology ed

0:21:41.320 --> 0:21:43.600
<v Speaker 3>lovelo here in San Francisco, checking on the markets. That

0:21:43.640 --> 0:21:46.159
<v Speaker 3>the themes are kind of familiar to us. Right, the

0:21:46.200 --> 0:21:49.560
<v Speaker 3>market has been cutting its bets for FED rate cuts

0:21:49.600 --> 0:21:52.480
<v Speaker 3>in twenty twenty four, pulling back all week long. There's

0:21:52.520 --> 0:21:54.560
<v Speaker 3>gonna be a lot of FED speak and the language

0:21:55.480 --> 0:21:59.360
<v Speaker 3>careful about when and to what extent we will see

0:21:59.440 --> 0:21:59.880
<v Speaker 3>rate cuts.

0:22:00.000 --> 0:22:01.520
<v Speaker 4>Why do we care on bloomber Technology.

0:22:01.520 --> 0:22:04.040
<v Speaker 3>We care because higher rates discount the present value of

0:22:04.080 --> 0:22:05.920
<v Speaker 3>future cash flows for tech. In other words, you're a

0:22:05.960 --> 0:22:08.400
<v Speaker 3>higher multiple stock on the NAS that one hundred, You're

0:22:08.480 --> 0:22:11.280
<v Speaker 3>very sensitive to the rate environment. We're soft by one

0:22:11.320 --> 0:22:13.199
<v Speaker 3>percent on that index, which I always go to.

0:22:14.000 --> 0:22:14.520
<v Speaker 4>Interesting.

0:22:14.560 --> 0:22:17.320
<v Speaker 3>Twenty four hours ago, the megacaps were giving us some

0:22:17.359 --> 0:22:19.120
<v Speaker 3>buoyant See if you look at most of the names

0:22:19.119 --> 0:22:20.840
<v Speaker 3>and then as that one hundred, we're in the red.

0:22:21.400 --> 0:22:24.080
<v Speaker 3>Twenty four hours later, some of those megacaps continue to

0:22:24.119 --> 0:22:28.160
<v Speaker 3>see downward pressure. Alphabet Pairent of Google, Apple, Amazon, all

0:22:28.200 --> 0:22:31.719
<v Speaker 3>down around a percentage point or more. Apart from Apple,

0:22:32.200 --> 0:22:35.600
<v Speaker 3>the question is what joins them, and of late, there

0:22:35.640 --> 0:22:38.600
<v Speaker 3>are a few analysts notes that put into doubt some

0:22:38.600 --> 0:22:41.480
<v Speaker 3>of the growth trajectory of these companies twenty twenty four.

0:22:41.760 --> 0:22:44.440
<v Speaker 3>But what they all have in common, based on Bloomberg reporting,

0:22:44.960 --> 0:22:47.760
<v Speaker 3>is that there are layoffs either in the works or

0:22:47.800 --> 0:22:50.120
<v Speaker 3>that have taken place. And you may have the sense

0:22:50.119 --> 0:22:52.840
<v Speaker 3>of deja vus because we start twenty twenty four talking

0:22:52.880 --> 0:22:55.400
<v Speaker 3>about big tech layoffs. I'm pretty sure if I jumped

0:22:55.440 --> 0:22:58.080
<v Speaker 3>in my time machine I'd start twenty twenty three talking

0:22:58.160 --> 0:23:02.200
<v Speaker 3>about big tech layoffs as well. Anyway, Meanwhile, more employees

0:23:02.240 --> 0:23:05.040
<v Speaker 3>are fearful of losing their jobs this year and less

0:23:05.080 --> 0:23:08.480
<v Speaker 3>confident to quit even if their expectations are not met.

0:23:08.520 --> 0:23:11.840
<v Speaker 3>That's according to research by Ranstad. It also says AI

0:23:12.000 --> 0:23:16.520
<v Speaker 3>skill development is quickly becoming a priority for companies and staff.

0:23:16.560 --> 0:23:18.200
<v Speaker 4>I want to bring in Sarah Franklin for more.

0:23:18.200 --> 0:23:21.560
<v Speaker 3>She is the CEO of Lattice, a people management platform

0:23:21.640 --> 0:23:24.240
<v Speaker 3>which also just put out its own report taking the

0:23:24.280 --> 0:23:27.520
<v Speaker 3>pulse of HR teams across the country. All of that

0:23:27.560 --> 0:23:30.959
<v Speaker 3>preamble to say, in tech in particular, there is some

0:23:31.040 --> 0:23:32.560
<v Speaker 3>uncertainty in this jobs market.

0:23:34.280 --> 0:23:36.880
<v Speaker 13>It is crazy what the job market has gone through

0:23:36.920 --> 0:23:40.760
<v Speaker 13>in the last few years. You saw incredible surgeon hiring

0:23:41.000 --> 0:23:44.159
<v Speaker 13>and then massive correction, and so it makes sense that

0:23:44.200 --> 0:23:47.360
<v Speaker 13>people are fearful because it's been huge ups and huge downs.

0:23:47.640 --> 0:23:50.280
<v Speaker 13>Now at the start of the new year, and what

0:23:50.320 --> 0:23:53.760
<v Speaker 13>I'm happy to say is that we're seeing more stabilization,

0:23:54.320 --> 0:23:57.760
<v Speaker 13>more return to normalcy, more back to basics, more back

0:23:57.800 --> 0:24:01.960
<v Speaker 13>to fundamentals. And if you look at the numbers last year,

0:24:02.040 --> 0:24:03.959
<v Speaker 13>we were looking at one hundred and sixty seven thousand

0:24:04.040 --> 0:24:07.520
<v Speaker 13>layoffs in big tech. That's fifteen times in normal and

0:24:07.560 --> 0:24:11.320
<v Speaker 13>we're back to those pre COVID rates. So it's hopefully

0:24:11.359 --> 0:24:13.800
<v Speaker 13>people can breathe a little bit of sense of fresh air.

0:24:14.160 --> 0:24:19.360
<v Speaker 3>What many technology employees find hard to understand, and they

0:24:19.480 --> 0:24:23.399
<v Speaker 3>voice this on social media and LinkedIn, is that that

0:24:23.560 --> 0:24:26.159
<v Speaker 3>was the start of twenty twenty three. Big tech was

0:24:26.200 --> 0:24:30.520
<v Speaker 3>pulling back because of over exuberance in hiring in twenty

0:24:30.560 --> 0:24:34.200
<v Speaker 3>twenty three, twenty twenty two. But the same logic's applying now,

0:24:34.320 --> 0:24:36.160
<v Speaker 3>so they're asking, well, hold on, why didn't we get

0:24:36.200 --> 0:24:39.200
<v Speaker 3>through this in twenty twenty three. I guess the question

0:24:39.280 --> 0:24:43.240
<v Speaker 3>is did tech right size enough? And the answer seems

0:24:43.280 --> 0:24:43.639
<v Speaker 3>to be no.

0:24:44.440 --> 0:24:47.280
<v Speaker 13>Well, what you're seeing now is back to basics and

0:24:47.400 --> 0:24:51.119
<v Speaker 13>performance management. What you're seeing is that companies care about

0:24:51.160 --> 0:24:54.560
<v Speaker 13>managing their people and their performance and they're making smart

0:24:54.600 --> 0:24:57.360
<v Speaker 13>business decisions. This is normal part of business.

0:24:57.400 --> 0:24:58.040
<v Speaker 4>Pre COVID.

0:24:58.640 --> 0:25:01.080
<v Speaker 13>We were back to levels that are below that now

0:25:01.200 --> 0:25:05.399
<v Speaker 13>and so it's still business which is having change and

0:25:05.440 --> 0:25:08.880
<v Speaker 13>people are managing their performance, but it's not the massive,

0:25:08.960 --> 0:25:11.400
<v Speaker 13>massive layoffs that you saw in twenty twenty three.

0:25:11.680 --> 0:25:13.919
<v Speaker 3>I want to know the data that you have the

0:25:14.119 --> 0:25:18.840
<v Speaker 3>HR team survey. What are the kind of three key

0:25:18.880 --> 0:25:21.200
<v Speaker 3>takeaways that you learned from that exercise.

0:25:21.720 --> 0:25:24.320
<v Speaker 13>So what we've learned is that half of companies are

0:25:24.359 --> 0:25:27.399
<v Speaker 13>saying that they think that their teams are going to

0:25:27.480 --> 0:25:29.920
<v Speaker 13>be back to about pre COVID levels. So again we're

0:25:29.960 --> 0:25:33.680
<v Speaker 13>seeing this normalcy of shakeout in the data. And then

0:25:33.800 --> 0:25:36.480
<v Speaker 13>also from the data, as I mentioned, one hundred and

0:25:36.520 --> 0:25:39.720
<v Speaker 13>sixty seven thousand last year compared to sixteen thousand the

0:25:39.760 --> 0:25:42.919
<v Speaker 13>year before, So this is very different in terms of

0:25:42.920 --> 0:25:45.399
<v Speaker 13>what you're seeing year over year, and we're back to

0:25:45.480 --> 0:25:48.680
<v Speaker 13>just about five thousand this year. And so what we're

0:25:48.720 --> 0:25:53.480
<v Speaker 13>seeing is that necessary management of people and their performance

0:25:53.760 --> 0:25:56.119
<v Speaker 13>and really how businesses are back to their fundamentals of

0:25:56.160 --> 0:25:58.920
<v Speaker 13>looking at their valuations, looking at their profitability, and looking

0:25:58.960 --> 0:25:59.720
<v Speaker 13>at their margins.

0:26:00.119 --> 0:26:03.359
<v Speaker 3>So what Bloomberg reported in the context of Apple, for example,

0:26:04.160 --> 0:26:06.160
<v Speaker 3>was very curious. It was that they were shutting down

0:26:06.160 --> 0:26:08.800
<v Speaker 3>a San Diego based team that was focused on AI

0:26:08.960 --> 0:26:12.160
<v Speaker 3>and Siri. And if you look at the news flow,

0:26:12.760 --> 0:26:16.360
<v Speaker 3>actually AI seems to be a real driver of hiring

0:26:16.440 --> 0:26:20.080
<v Speaker 3>right now because they're looking for skill specific people of

0:26:20.440 --> 0:26:23.800
<v Speaker 3>you know, in terms of computer engineering, and my goodness

0:26:23.840 --> 0:26:25.120
<v Speaker 3>to some of those jobs pay well.

0:26:26.440 --> 0:26:29.760
<v Speaker 13>AI is definitely what everybody is doing right now in tech.

0:26:29.800 --> 0:26:33.520
<v Speaker 13>It is all about innovation and helping everyone manage their

0:26:33.520 --> 0:26:37.159
<v Speaker 13>people better and manage their businesses better. And people that

0:26:37.240 --> 0:26:40.520
<v Speaker 13>have AI skills are in huge demand, and that is

0:26:40.760 --> 0:26:44.080
<v Speaker 13>why you see so much reskilling necessary for AI, not

0:26:44.160 --> 0:26:46.600
<v Speaker 13>just with people that are in AI themselves, with people

0:26:46.640 --> 0:26:49.960
<v Speaker 13>that are employed in marketing and sales and HR people

0:26:50.000 --> 0:26:52.400
<v Speaker 13>that need to understand how to use AI to help

0:26:52.440 --> 0:26:53.400
<v Speaker 13>make them better at their job.

0:26:53.520 --> 0:26:55.880
<v Speaker 3>And so then on the other side of the debate,

0:26:56.640 --> 0:26:59.160
<v Speaker 3>is AI is going to replace jobs? Are you seeing

0:26:59.160 --> 0:27:00.239
<v Speaker 3>any evidence of that?

0:27:00.280 --> 0:27:00.680
<v Speaker 4>So far?

0:27:01.320 --> 0:27:05.840
<v Speaker 13>Not seeing evidence of AI being replacing jobs. What you're

0:27:05.840 --> 0:27:08.600
<v Speaker 13>seeing is AI is helping us be better and helping

0:27:08.640 --> 0:27:11.200
<v Speaker 13>people rise to the level of performance that you want

0:27:11.320 --> 0:27:15.080
<v Speaker 13>as a leader within your company. And so AI is

0:27:15.119 --> 0:27:18.080
<v Speaker 13>here to help us and it's our job as leaders

0:27:18.240 --> 0:27:21.440
<v Speaker 13>to deploy these technologies in a safe and responsible way.

0:27:22.200 --> 0:27:24.560
<v Speaker 3>We're talking about jobs. Could we talk a little bit

0:27:24.640 --> 0:27:29.479
<v Speaker 3>about your job? You in the role you know, Jack Altman,

0:27:29.640 --> 0:27:33.600
<v Speaker 3>somebody familiar to this program, how has that been and

0:27:33.720 --> 0:27:36.480
<v Speaker 3>just give us the background of the change your I

0:27:36.480 --> 0:27:40.400
<v Speaker 3>guess promotional or addition to that role.

0:27:40.880 --> 0:27:43.679
<v Speaker 13>Yeah, so I'm so excited to be CEO now of

0:27:43.760 --> 0:27:48.040
<v Speaker 13>Lattice and as you mentioned, incredible companies solving the problems

0:27:48.040 --> 0:27:50.119
<v Speaker 13>that every leader is facing today how to manage your

0:27:50.119 --> 0:27:53.280
<v Speaker 13>people and their performance. I saw this in the market

0:27:53.359 --> 0:27:56.760
<v Speaker 13>and I was excited to take this opportunity. And Jack

0:27:56.840 --> 0:28:00.199
<v Speaker 13>is an incredible leader, an incredible visionary. He created this

0:28:00.280 --> 0:28:03.240
<v Speaker 13>company blitz scaled it to the levels at now and

0:28:03.280 --> 0:28:05.159
<v Speaker 13>it couldn't be more thankful or humble to work with

0:28:05.240 --> 0:28:07.119
<v Speaker 13>him and the team to take it to the next level.

0:28:07.280 --> 0:28:08.600
<v Speaker 4>That's a CEO, Sarah Franklin.

0:28:08.680 --> 0:28:11.720
<v Speaker 3>Terrific to have you here in the San Francisco studio

0:28:11.800 --> 0:28:13.320
<v Speaker 3>and jobs starting.

0:28:12.920 --> 0:28:14.480
<v Speaker 4>The year as we did twenty twenty three.

0:28:14.680 --> 0:28:17.800
<v Speaker 3>The story in the technology sector now another story that

0:28:17.840 --> 0:28:21.960
<v Speaker 3>we're following. Google DeepMind said it's taken a crucial step

0:28:22.040 --> 0:28:27.240
<v Speaker 3>towards making artificial intelligence as capable as humans. It involves

0:28:27.280 --> 0:28:30.679
<v Speaker 3>solving high school math problems. Deep Mind introduced a system

0:28:30.760 --> 0:28:36.320
<v Speaker 3>called alpha geometry that proves complex geometry theorems better than

0:28:36.320 --> 0:28:39.800
<v Speaker 3>prior computer programs. Researchers at the company described this as

0:28:39.840 --> 0:28:44.040
<v Speaker 3>a major breakthrough of an AI applying reasoning and planning

0:28:44.280 --> 0:28:49.280
<v Speaker 3>to tasks, something even today's advanced models thus far couldn't

0:28:49.320 --> 0:28:52.200
<v Speaker 3>do now coming up here on Bloomberg Technology and all

0:28:52.240 --> 0:28:56.120
<v Speaker 3>European commercial crew is due to launch the International Space

0:28:56.160 --> 0:28:59.440
<v Speaker 3>Station sometime this week. We'll have all the details coming

0:28:59.520 --> 0:29:02.560
<v Speaker 3>up next. Also taking a look at shares of Uber,

0:29:02.600 --> 0:29:06.080
<v Speaker 3>The company confirmed that it will shut down Drizzly, the

0:29:06.120 --> 0:29:10.320
<v Speaker 3>alcohol delivery service it acquired for one billion dollars in

0:29:10.360 --> 0:29:12.920
<v Speaker 3>twenty twenty one, at the end of March, Uber stating

0:29:12.960 --> 0:29:16.600
<v Speaker 3>its focus on its Uber Eat strategy of helping consumers

0:29:16.640 --> 0:29:22.040
<v Speaker 3>get almost anything from food to groceries and that includes alcohol.

0:29:23.160 --> 0:29:41.400
<v Speaker 3>This is Bloomberg Technology. SpaceX is set to launch the

0:29:41.400 --> 0:29:45.960
<v Speaker 3>first all European commercial crew to the International Space Station

0:29:46.120 --> 0:29:49.880
<v Speaker 3>later this week. US commercial space fight company Axiom Space

0:29:49.920 --> 0:29:52.240
<v Speaker 3>and NASA are set to launch a crew of four

0:29:52.640 --> 0:29:55.680
<v Speaker 3>on SpaceX's Falcon nine rocket. It will be Axiom's third

0:29:56.040 --> 0:29:59.480
<v Speaker 3>crude mission into low Earth orbit. But a quick piece

0:29:59.480 --> 0:30:01.960
<v Speaker 3>of news for the audience. Launch had been due to

0:30:02.040 --> 0:30:05.040
<v Speaker 3>be Wednesday afternoon. It is now moving to the backup

0:30:05.080 --> 0:30:08.280
<v Speaker 3>window of Thursday afternoon, which we'll track here on Bloomberg.

0:30:08.360 --> 0:30:12.080
<v Speaker 3>Joining us to discuss Carrie Bingen, director of the Aerospace

0:30:12.120 --> 0:30:16.000
<v Speaker 3>Security Project at the Center for Strategic and international studies

0:30:16.160 --> 0:30:20.280
<v Speaker 3>or CEASIS for sure, a carrie. You have so much

0:30:20.360 --> 0:30:24.960
<v Speaker 3>experience across private and public sector space. But let's start

0:30:25.000 --> 0:30:28.280
<v Speaker 3>with Axiom. You know I've attended some of the earlier missions.

0:30:28.680 --> 0:30:33.400
<v Speaker 3>What does the cadence of the Axiom SpaceX partnership represent

0:30:33.520 --> 0:30:35.880
<v Speaker 3>for you in the context of commercial space?

0:30:37.280 --> 0:30:40.080
<v Speaker 12>Thanks Ed, It's great to be here. This is really

0:30:40.120 --> 0:30:45.160
<v Speaker 12>exciting for me. Axiom Space. It's a commercial company. This

0:30:45.200 --> 0:30:49.400
<v Speaker 12>is their third mission to the International Space Station. It's

0:30:49.440 --> 0:30:52.440
<v Speaker 12>the first all European crew. So there's a couple of

0:30:52.480 --> 0:30:58.560
<v Speaker 12>big firsts here. First astronaut from Turkey, first astronaut with

0:30:58.800 --> 0:31:03.680
<v Speaker 12>the European Space Agency. Axium Space is looking at getting

0:31:03.680 --> 0:31:06.160
<v Speaker 12>into a cadence of about two of these launches a year.

0:31:06.360 --> 0:31:08.160
<v Speaker 12>And again, this is not a government doing this. This

0:31:08.200 --> 0:31:09.880
<v Speaker 12>is a commercial space company.

0:31:11.160 --> 0:31:15.560
<v Speaker 3>So if you look at the crew, they are essentially

0:31:16.560 --> 0:31:22.520
<v Speaker 3>personnel from different European space agencies. But Axium also has

0:31:22.520 --> 0:31:26.240
<v Speaker 3>this kind of tourism element to it, where a private

0:31:26.280 --> 0:31:29.080
<v Speaker 3>citizen or civilian for one of a better word, can

0:31:29.120 --> 0:31:33.200
<v Speaker 3>take a future mission. Where do you see the most

0:31:33.200 --> 0:31:38.480
<v Speaker 3>potential the private sector basically becoming a service for international

0:31:38.560 --> 0:31:43.120
<v Speaker 3>space agencies or the tourism element, so I.

0:31:43.080 --> 0:31:46.160
<v Speaker 12>Would envision their business model is a bit of both.

0:31:46.440 --> 0:31:49.400
<v Speaker 12>And what's really interesting about what's happening in the commercial

0:31:49.480 --> 0:31:53.760
<v Speaker 12>space arena right now is that it is allowing an

0:31:53.840 --> 0:31:58.480
<v Speaker 12>increased access to space, so both by nations or foreign

0:31:58.480 --> 0:32:02.040
<v Speaker 12>governments that maybe couldn't affec forward or didn't have the

0:32:02.120 --> 0:32:08.600
<v Speaker 12>technical capability to build rockets and space stations themselves, but also.

0:32:08.520 --> 0:32:09.880
<v Speaker 10>For private citizens.

0:32:10.360 --> 0:32:13.200
<v Speaker 12>It would have been unfathomable even ten years ago, say,

0:32:13.480 --> 0:32:16.080
<v Speaker 12>for this many private citizens to be able to launch

0:32:16.240 --> 0:32:20.160
<v Speaker 12>into space spend a week or so on a space station,

0:32:20.280 --> 0:32:21.400
<v Speaker 12>it's pretty amazing.

0:32:23.040 --> 0:32:26.400
<v Speaker 3>Carrie, are you able to reflect when at what point

0:32:27.160 --> 0:32:30.920
<v Speaker 3>you kind of suddenly realized that SpaceX had kind of

0:32:30.960 --> 0:32:35.400
<v Speaker 3>changed the game for access to lower for a bit,

0:32:35.480 --> 0:32:37.160
<v Speaker 3>the human access to space.

0:32:40.120 --> 0:32:41.960
<v Speaker 12>You know, I'd have to say it's been really within

0:32:42.040 --> 0:32:43.560
<v Speaker 12>the last couple of years.

0:32:43.720 --> 0:32:46.600
<v Speaker 10>And let's look at last year alone.

0:32:46.640 --> 0:32:50.680
<v Speaker 12>So SpaceX with their Falcon nine space launch vehicle I

0:32:50.760 --> 0:32:56.120
<v Speaker 12>believe launched was it sixty six times? That's more than

0:32:56.240 --> 0:32:59.200
<v Speaker 12>once a week. And I come from a community working

0:32:59.280 --> 0:33:03.040
<v Speaker 12>in the US national security enterprise or as we were talking,

0:33:03.040 --> 0:33:05.920
<v Speaker 12>maybe one launch a month. So the fact that SpaceX

0:33:05.960 --> 0:33:08.719
<v Speaker 12>is getting down to less than one launch per week

0:33:09.360 --> 0:33:14.240
<v Speaker 12>is extraordinary. Plus they've announced plans I think at over

0:33:14.280 --> 0:33:16.560
<v Speaker 12>one hundred and forty launches is what they'd like to

0:33:16.600 --> 0:33:20.600
<v Speaker 12>do going into twenty twenty four. That's by my envelope

0:33:20.640 --> 0:33:24.239
<v Speaker 12>math here, that's two to three launches per week. That

0:33:24.320 --> 0:33:27.600
<v Speaker 12>is an extraordinary cadence. Now, some of that's human spaceflight,

0:33:27.840 --> 0:33:31.480
<v Speaker 12>but a lot of that is launching commercial payloads their

0:33:31.520 --> 0:33:34.400
<v Speaker 12>own starling satellites and then government systems, whether it be

0:33:34.480 --> 0:33:36.520
<v Speaker 12>US or international.

0:33:37.600 --> 0:33:39.600
<v Speaker 3>So the question is whether the SpaceX is the only

0:33:39.640 --> 0:33:43.520
<v Speaker 3>game in town now and for how long? And you know,

0:33:43.560 --> 0:33:47.400
<v Speaker 3>a big story in recent weeks has been ULA and Vulcan,

0:33:47.600 --> 0:33:51.400
<v Speaker 3>something a launch system which you have some history and

0:33:51.480 --> 0:33:55.120
<v Speaker 3>experience with your reaction to that ULA test.

0:33:56.880 --> 0:33:58.800
<v Speaker 12>It's been a while coming. So I would like to

0:33:58.840 --> 0:34:00.840
<v Speaker 12>congratulate ULA for.

0:34:00.680 --> 0:34:02.280
<v Speaker 10>That successful launch last week.

0:34:02.560 --> 0:34:04.480
<v Speaker 12>You know, one of the things that I think got

0:34:04.520 --> 0:34:06.680
<v Speaker 12>lost in some of the headlines last week because there

0:34:06.720 --> 0:34:10.080
<v Speaker 12>was so much focus on the Peregreen Lunar Lander and

0:34:10.160 --> 0:34:14.040
<v Speaker 12>the issues that they had and ultimately and now has

0:34:14.120 --> 0:34:16.799
<v Speaker 12>led to a failed mission. What was lost in all

0:34:16.840 --> 0:34:20.200
<v Speaker 12>of that is this was the first time that ULA

0:34:20.920 --> 0:34:25.480
<v Speaker 12>was now able to fly an American made rocket engine.

0:34:25.840 --> 0:34:29.239
<v Speaker 12>Up until now they've been relying on RD one eighty.

0:34:29.320 --> 0:34:31.759
<v Speaker 12>This is a Russian rocket engine. And it really was

0:34:31.800 --> 0:34:35.560
<v Speaker 12>Congress back in the twenty fourteen twenty fifteen time frame,

0:34:35.600 --> 0:34:39.320
<v Speaker 12>after Russia invaded Crimea. Then it was Senator John McCain

0:34:39.360 --> 0:34:41.320
<v Speaker 12>that said, hey, we got to get off these Russian

0:34:41.360 --> 0:34:43.840
<v Speaker 12>rocket engines. We are not going to be lining the

0:34:43.840 --> 0:34:47.000
<v Speaker 12>pockets of these Russian ola arts and the government. And

0:34:47.040 --> 0:34:50.160
<v Speaker 12>so finally, you know, we've seen the development of an

0:34:50.239 --> 0:34:55.840
<v Speaker 12>American engine, the Blue Origin B four successfully launch on Vulcan,

0:34:56.160 --> 0:34:59.239
<v Speaker 12>and that adds to just competition overall, which is I

0:34:59.239 --> 0:35:00.200
<v Speaker 12>think healthy.

0:34:59.840 --> 0:35:02.399
<v Speaker 10>For our industrial base in the space launch arena.

0:35:03.200 --> 0:35:07.239
<v Speaker 3>Carry for the Vulcan in ula. What would represent progress

0:35:07.280 --> 0:35:08.160
<v Speaker 3>and success for you?

0:35:08.280 --> 0:35:08.719
<v Speaker 4>This year?

0:35:11.040 --> 0:35:12.799
<v Speaker 12>You got to get a couple launches under their belt.

0:35:12.960 --> 0:35:15.279
<v Speaker 12>You know, one launch is good, but they now have

0:35:15.360 --> 0:35:21.439
<v Speaker 12>to get into a good cadence of launches really prove

0:35:21.480 --> 0:35:24.520
<v Speaker 12>out that technology. I believe that the Department US Department

0:35:24.520 --> 0:35:26.120
<v Speaker 12>of Defense has said, hey, we want to see two

0:35:26.120 --> 0:35:28.839
<v Speaker 12>more launches before we can fully certify this to launch

0:35:28.880 --> 0:35:33.440
<v Speaker 12>government payloads. So I'll be looking for repeatability and consistency

0:35:33.920 --> 0:35:35.960
<v Speaker 12>and I'll say, I mean that's an area where SpaceX,

0:35:36.000 --> 0:35:38.600
<v Speaker 12>with there hundreds of launches, they really got that down

0:35:38.640 --> 0:35:40.920
<v Speaker 12>to a science. So I'd like to see ULA make

0:35:41.000 --> 0:35:42.320
<v Speaker 12>some progress there as well.

0:35:43.080 --> 0:35:46.040
<v Speaker 3>Carrie, we really enjoy having you on the program. I

0:35:46.160 --> 0:35:49.239
<v Speaker 3>just ask if you could tell our audience what you've

0:35:49.280 --> 0:35:51.760
<v Speaker 3>been working on and where the focus of your study

0:35:51.800 --> 0:35:52.960
<v Speaker 3>and research is being.

0:35:52.760 --> 0:35:57.520
<v Speaker 12>Of late, so I lead the Aerospace Security Project here

0:35:57.560 --> 0:36:00.520
<v Speaker 12>at the Center for Strategic and International Studies. I am

0:36:00.560 --> 0:36:04.640
<v Speaker 12>a space nerd from early in my youth, so I love.

0:36:04.600 --> 0:36:05.840
<v Speaker 10>Working these space topics.

0:36:06.680 --> 0:36:08.480
<v Speaker 12>Some of my big focus areas have really been on

0:36:08.560 --> 0:36:13.360
<v Speaker 12>space security. The growing with the increased commercialization of space,

0:36:13.840 --> 0:36:17.520
<v Speaker 12>greater use of it for national security, for economic benefit,

0:36:18.200 --> 0:36:20.600
<v Speaker 12>there are also growing challenges, so the threats to space

0:36:20.640 --> 0:36:21.240
<v Speaker 12>are increasing.

0:36:21.280 --> 0:36:23.040
<v Speaker 10>I'm looking at that, looking at what.

0:36:23.040 --> 0:36:26.480
<v Speaker 12>China is doing in particular, both within their military and

0:36:26.560 --> 0:36:31.400
<v Speaker 12>national security arena. But they're also making some interesting strides

0:36:31.440 --> 0:36:34.799
<v Speaker 12>on the commercial front, and you can question whether, well

0:36:34.920 --> 0:36:37.240
<v Speaker 12>if it's truly commercial, but there are making some interesting

0:36:37.239 --> 0:36:38.920
<v Speaker 12>strides there that I've been watching closely.

0:36:40.160 --> 0:36:43.080
<v Speaker 3>Carrying in director of the area Space Security Project at

0:36:43.120 --> 0:36:46.200
<v Speaker 3>the Center for Strategic and International Studies just terrific to

0:36:46.200 --> 0:36:47.040
<v Speaker 3>have you on the program.

0:36:47.120 --> 0:36:47.440
<v Speaker 4>Thank you.

0:36:56.400 --> 0:37:00.400
<v Speaker 3>Electric Boats startup Navy is partnering with payments process company

0:37:00.560 --> 0:37:04.080
<v Speaker 3>Stripe to ferry employees to work before year old startup

0:37:04.239 --> 0:37:06.399
<v Speaker 3>has already hosted some pretty high profile.

0:37:06.120 --> 0:37:08.800
<v Speaker 4>Names like Elon Musk on its boats.

0:37:08.920 --> 0:37:12.920
<v Speaker 3>Navy A CEO san Pritti Batacharia joins us to discuss

0:37:13.000 --> 0:37:16.239
<v Speaker 3>a big step for this startup. You and I have

0:37:16.360 --> 0:37:20.920
<v Speaker 3>spoken a lot about the underlying technology battery electric hydrofoil boat.

0:37:21.400 --> 0:37:24.600
<v Speaker 3>This is the kind of first big commercial deployment. Yes,

0:37:24.640 --> 0:37:26.640
<v Speaker 3>what are you doing with Stripe? Where does it run

0:37:26.680 --> 0:37:27.600
<v Speaker 3>and how does it work?

0:37:28.040 --> 0:37:29.000
<v Speaker 4>Yeah?

0:37:29.080 --> 0:37:31.160
<v Speaker 2>You know, So we are starting off with a pilot

0:37:31.200 --> 0:37:35.160
<v Speaker 2>program with Stripe to shuttle their employees in not Bay

0:37:35.560 --> 0:37:39.359
<v Speaker 2>from North Bay to their headquarters in Oyster Point. So

0:37:39.400 --> 0:37:42.840
<v Speaker 2>it's starting in March and it's really first off its kind,

0:37:42.960 --> 0:37:45.600
<v Speaker 2>you know that it has ever been done.

0:37:45.800 --> 0:37:49.640
<v Speaker 3>It's about a twenty mile trip point to point. Yes,

0:37:51.560 --> 0:37:55.319
<v Speaker 3>what will the experience be for a Stripe employee, you

0:37:55.320 --> 0:37:58.000
<v Speaker 3>know in the morning getting into work in that method

0:37:58.040 --> 0:37:58.719
<v Speaker 3>of transport?

0:37:58.920 --> 0:38:02.680
<v Speaker 2>Absolutely, you see. The biggest disruption I feel that naviebe

0:38:02.840 --> 0:38:06.440
<v Speaker 2>vessels can bring is transportation in coastal cities where we are,

0:38:06.640 --> 0:38:10.640
<v Speaker 2>you know, so frustrated by the traffic and traffic I

0:38:10.640 --> 0:38:12.960
<v Speaker 2>mean when you think about it is mostly due to

0:38:13.080 --> 0:38:16.080
<v Speaker 2>employees going to work in the morning right by driving

0:38:16.120 --> 0:38:20.279
<v Speaker 2>their own cars. So in Bay Area also the number

0:38:20.360 --> 0:38:24.000
<v Speaker 2>of supercommuters, which means like people who are doing a

0:38:24.040 --> 0:38:27.000
<v Speaker 2>round trip of three hours, is quite high. So large

0:38:27.000 --> 0:38:29.279
<v Speaker 2>Spool is actually one of those routes. I mean, it

0:38:29.320 --> 0:38:31.799
<v Speaker 2>can take you about one and a half hours each

0:38:31.880 --> 0:38:34.520
<v Speaker 2>way during rush hour to get there or go from

0:38:34.520 --> 0:38:39.640
<v Speaker 2>there to Ope. So instead of that like driving yourself

0:38:39.760 --> 0:38:42.799
<v Speaker 2>getting stuck on the traffic, you can be on a

0:38:42.840 --> 0:38:47.640
<v Speaker 2>smooth you know, quiet foiling growth, like you're literally four

0:38:47.680 --> 0:38:51.319
<v Speaker 2>feet above the wags, so you don't feel seasickness. It

0:38:51.360 --> 0:38:55.040
<v Speaker 2>has you know, Wi Fi and all En route productivity tools.

0:38:55.120 --> 0:38:56.839
<v Speaker 2>You will have a desk if you want to work

0:38:57.280 --> 0:39:00.160
<v Speaker 2>while going to work, but it's a it's really a

0:39:00.280 --> 0:39:02.879
<v Speaker 2>much more refreshing and relaxing way to get to your

0:39:02.880 --> 0:39:07.400
<v Speaker 2>work and not worry about driving yourself. And also you know,

0:39:07.480 --> 0:39:10.359
<v Speaker 2>as a part of it, you are reducing the carbon footprint, right,

0:39:10.560 --> 0:39:13.799
<v Speaker 2>I mean each of those vessels taking a bunch of

0:39:13.800 --> 0:39:15.439
<v Speaker 2>people of cars of the road.

0:39:15.680 --> 0:39:16.880
<v Speaker 4>Let's talk about the technology.

0:39:16.920 --> 0:39:21.480
<v Speaker 3>Then you are doing production. You know, you're at the

0:39:21.560 --> 0:39:24.680
<v Speaker 3>early stages of building out the fleet. What is it

0:39:24.719 --> 0:39:27.880
<v Speaker 3>that's unique about Navia from the drive train or powertrain

0:39:27.960 --> 0:39:30.840
<v Speaker 3>perspective and the design right.

0:39:30.800 --> 0:39:33.719
<v Speaker 2>So you know, forty six person of the world I

0:39:33.760 --> 0:39:36.960
<v Speaker 2>mean lives in congested coastal cities, and you know, we

0:39:37.000 --> 0:39:40.960
<v Speaker 2>are talking about, well, how do we attack you know,

0:39:41.160 --> 0:39:44.400
<v Speaker 2>traffic problems. Should we build flying cars, should really dig tunnels,

0:39:44.440 --> 0:39:48.000
<v Speaker 2>But coastal cities with US San Francisco, New York have

0:39:48.200 --> 0:39:51.480
<v Speaker 2>this big real estate called you know the water right

0:39:51.560 --> 0:39:56.200
<v Speaker 2>super underutilized because we could not figure out how to

0:39:56.920 --> 0:40:00.640
<v Speaker 2>you know, build high speed boats that are like effective

0:40:00.960 --> 0:40:04.440
<v Speaker 2>operation costs wise as well as actually convenient, smooth, and

0:40:04.719 --> 0:40:06.440
<v Speaker 2>you know, have a good right quality.

0:40:06.520 --> 0:40:07.719
<v Speaker 4>And you've cracked that.

0:40:07.719 --> 0:40:11.000
<v Speaker 2>That is exactly the two key problems that we address

0:40:11.160 --> 0:40:14.799
<v Speaker 2>is like operational cost and right quality. And how we

0:40:14.880 --> 0:40:20.160
<v Speaker 2>do that is electric and hydrofoil. So hydrofoil takes a

0:40:20.200 --> 0:40:23.040
<v Speaker 2>boat just like you know, it's it's like airplane. So

0:40:23.160 --> 0:40:26.240
<v Speaker 2>we have wings underwater at a certain speed, the boat

0:40:26.440 --> 0:40:30.560
<v Speaker 2>you know, rises above the water, it has left and

0:40:30.719 --> 0:40:33.640
<v Speaker 2>with electric, you know, it's quiet, it's smooth, so you

0:40:33.680 --> 0:40:36.360
<v Speaker 2>don't have this, you know, gas guzzling engine noises. So

0:40:36.400 --> 0:40:40.800
<v Speaker 2>it's a very transformative experience. So since you're not pushing water,

0:40:41.000 --> 0:40:45.240
<v Speaker 2>you're more than ten times efficient than a traditional gas boat.

0:40:45.320 --> 0:40:49.040
<v Speaker 2>And that is the big disruption in when it comes

0:40:49.040 --> 0:40:50.680
<v Speaker 2>to cost very quickly.

0:40:51.080 --> 0:40:53.279
<v Speaker 3>Bay Area is the start. Where do you expand to

0:40:53.480 --> 0:40:54.520
<v Speaker 3>just thirty seconds?

0:40:55.040 --> 0:40:58.959
<v Speaker 2>Yeah, I mean New York, Seattle, I mean Miami, La,

0:40:59.040 --> 0:41:01.200
<v Speaker 2>you name it. I mean many areas in US, but

0:41:01.360 --> 0:41:03.200
<v Speaker 2>globally the market is even bigger.

0:41:03.960 --> 0:41:04.279
<v Speaker 4>All right.

0:41:04.360 --> 0:41:07.680
<v Speaker 3>That was navy A CEO Sam Pritty Badacharia on the

0:41:07.719 --> 0:41:10.120
<v Speaker 3>expansion of Navia to run a pilot here in the

0:41:10.120 --> 0:41:13.120
<v Speaker 3>Bay Area for Stripe. That does it for this edition

0:41:13.520 --> 0:41:16.960
<v Speaker 3>of Bloomberg Technology, My goodness, a busy week so far.

0:41:17.000 --> 0:41:18.480
<v Speaker 4>Don't forget to check out the podcast.

0:41:18.480 --> 0:41:20.880
<v Speaker 3>We're posting it on the Bloomberg terminal, all of the

0:41:20.920 --> 0:41:26.080
<v Speaker 3>Bloomberg platforms, but of course also on Apple, Spotify and iHeart.

0:41:26.520 --> 0:41:28.560
<v Speaker 3>There's a lot going on in financial market. It's a

0:41:28.560 --> 0:41:32.000
<v Speaker 3>lot happening in Davos. It is a shortened financial markets

0:41:32.040 --> 0:41:35.799
<v Speaker 3>week because of the US holiday. However, the newsflow has

0:41:35.800 --> 0:41:38.640
<v Speaker 3>been relentless, whether it's driven by AI, whether it's driven

0:41:38.680 --> 0:41:41.520
<v Speaker 3>by the supply chain in the Red Sea, or indeed

0:41:41.560 --> 0:41:44.080
<v Speaker 3>what's happening with big tech and layoffs. Everything you need

0:41:44.120 --> 0:41:48.000
<v Speaker 3>to know daily here on Bloomberg Technology, from San Francisco

0:41:48.239 --> 0:41:49.200
<v Speaker 3>and around the world.

0:41:49.280 --> 0:41:51.160
<v Speaker 4>This is Bloomberg Technology.