WEBVTT - Tech Stocks Lead Charge Toward Record 

0:00:00.080 --> 0:00:13.520
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

0:00:13.600 --> 0:00:17.400
<v Speaker 1>from coast to coast with Caroline Hide in New York

0:00:17.720 --> 0:00:20.880
<v Speaker 1>and v Lovelow in San Francisco.

0:00:23.720 --> 0:00:26.760
<v Speaker 2>This is Bloomberg Tech. Coming up. Tech helps stocks close

0:00:26.760 --> 0:00:29.560
<v Speaker 2>in on record highs with Mag seven earnings.

0:00:29.800 --> 0:00:34.240
<v Speaker 3>Plus Bridget Mendland Northwood and raises one hundred million dollars

0:00:34.240 --> 0:00:36.800
<v Speaker 3>to modernize space infrastructure on Earth.

0:00:37.440 --> 0:00:40.880
<v Speaker 2>And Amazon shuddering its physical stores but doubling down on

0:00:40.960 --> 0:00:43.720
<v Speaker 2>deliveries Walmart, Uber and door Dash all drop.

0:00:44.000 --> 0:00:47.319
<v Speaker 3>Let's check out more broad moves on the market right now.

0:00:47.360 --> 0:00:51.240
<v Speaker 4>And because we have a wall of call it worry.

0:00:50.960 --> 0:00:52.680
<v Speaker 3>Whether you're thinking about what the mag seven is going

0:00:52.720 --> 0:00:54.720
<v Speaker 3>to report, whether you're thinking about the federal rate decision

0:00:54.960 --> 0:00:57.600
<v Speaker 3>on Wednesday, a lot for the market time digest, but

0:00:57.760 --> 0:01:00.440
<v Speaker 3>still were pushed to record highs the S and P

0:01:00.520 --> 0:01:02.800
<v Speaker 3>five hundred. We have up nine ten percent on the

0:01:02.880 --> 0:01:06.480
<v Speaker 3>Nasdaq one hundred, and I know you're checking on individual movers.

0:01:06.680 --> 0:01:08.920
<v Speaker 3>They've been helping some moves in the benchmark.

0:01:09.760 --> 0:01:12.720
<v Speaker 2>Yeah, an interesting deal up to six billion dollar partnership

0:01:12.760 --> 0:01:17.560
<v Speaker 2>between Meta and Corning for fiber optic cabling to support

0:01:17.920 --> 0:01:20.360
<v Speaker 2>Meada's data center efforts over a number of years. You

0:01:20.400 --> 0:01:23.959
<v Speaker 2>know Corning, right, it's a key optics supplier to Apple,

0:01:24.319 --> 0:01:27.160
<v Speaker 2>for example, But look at that stock absolutely flying up

0:01:27.160 --> 0:01:29.440
<v Speaker 2>more than seventeen percent. There's a lot going on as

0:01:29.480 --> 0:01:33.360
<v Speaker 2>well in the semiconductor space. Micron is long term trying

0:01:33.400 --> 0:01:36.760
<v Speaker 2>to triage the shortage of supply, investing a lot of

0:01:36.800 --> 0:01:39.840
<v Speaker 2>money up to twenty four billion dollars over years in

0:01:39.920 --> 0:01:43.240
<v Speaker 2>Singapore that's focused on land and then overnight and career

0:01:43.400 --> 0:01:46.960
<v Speaker 2>sk Heinex the biggest move of the upside. Basically, there's

0:01:47.000 --> 0:01:49.680
<v Speaker 2>dip buying, there's retail investors coming in, and there's a

0:01:49.680 --> 0:01:51.960
<v Speaker 2>lot of focus. What's happening in the context of a

0:01:52.080 --> 0:01:55.120
<v Speaker 2>US career trade agreement agreement where there might be exemptions.

0:01:55.280 --> 0:01:57.559
<v Speaker 2>Let's get to all of that. Bloomberg Senior Tech editor

0:01:57.800 --> 0:02:01.240
<v Speaker 2>Mike Shephard joins us. Now, let's start with the Micron piece. Right,

0:02:01.320 --> 0:02:03.840
<v Speaker 2>Like the story is well told if I say to

0:02:03.880 --> 0:02:07.160
<v Speaker 2>myself on this program about the memory shortage and memory

0:02:07.160 --> 0:02:11.160
<v Speaker 2>pricing situation. But Micron here is looking at where it

0:02:11.200 --> 0:02:13.840
<v Speaker 2>can expand supply. It's looking at Singapore.

0:02:14.120 --> 0:02:16.720
<v Speaker 5>What do we need to know, Well, it's looking at

0:02:16.720 --> 0:02:19.360
<v Speaker 5>Singapore ed and this is over a ten year period

0:02:19.360 --> 0:02:23.440
<v Speaker 5>and twenty four billion dollar investment there. And what they're

0:02:23.480 --> 0:02:26.800
<v Speaker 5>looking at a specifically is so called nand memory, and

0:02:26.840 --> 0:02:29.720
<v Speaker 5>this is something that is in demand to meet the

0:02:29.760 --> 0:02:34.480
<v Speaker 5>needs of artificial intelligence chips and processors more broadly, and

0:02:34.560 --> 0:02:38.840
<v Speaker 5>it's an area of focus because for AI, the memory

0:02:38.880 --> 0:02:41.920
<v Speaker 5>needs are enormous and they are not fully being met.

0:02:42.160 --> 0:02:45.560
<v Speaker 5>Of course, Micron competes with Samsung and s k Heinex

0:02:45.600 --> 0:02:49.480
<v Speaker 5>in this memory market, and all three companies have warned

0:02:49.520 --> 0:02:53.320
<v Speaker 5>of increasingly tight supplies. And this supply issue also has

0:02:53.400 --> 0:02:58.840
<v Speaker 5>spillover effects. It It actually touches on smartphonemakers and PC

0:02:59.040 --> 0:03:02.239
<v Speaker 5>makers too, because as those companies that we just mentioned

0:03:02.680 --> 0:03:05.120
<v Speaker 5>shift their efforts to meet the needs of the AI

0:03:05.280 --> 0:03:10.160
<v Speaker 5>data centers, the areas for PCs and smartphones risk going

0:03:10.280 --> 0:03:14.840
<v Speaker 5>wanting in the SSD type memory and flash memory that

0:03:14.919 --> 0:03:17.240
<v Speaker 5>is needed for those kinds of devices. So we're seeing

0:03:17.240 --> 0:03:20.840
<v Speaker 5>that expansion by Micron. This just comes at less than

0:03:20.880 --> 0:03:23.639
<v Speaker 5>two weeks after Micron cut the ribbon on a one

0:03:23.720 --> 0:03:26.799
<v Speaker 5>hundred billion dollar plant in upstate New York one that's

0:03:26.840 --> 0:03:29.480
<v Speaker 5>been a couple of years in coming. So we are

0:03:29.720 --> 0:03:33.040
<v Speaker 5>watching to see how much more these companies are going

0:03:33.040 --> 0:03:35.520
<v Speaker 5>to be investing not only in Asia but also in

0:03:35.560 --> 0:03:36.240
<v Speaker 5>the US.

0:03:36.040 --> 0:03:38.160
<v Speaker 3>As well, and how much more of our shares can fly.

0:03:38.560 --> 0:03:41.560
<v Speaker 3>Just think sk Heinis at a new record high, even

0:03:41.600 --> 0:03:44.280
<v Speaker 3>as we see the threat of well broader tariffs in

0:03:44.320 --> 0:03:46.560
<v Speaker 3>South Korea. We know the chip makers are excluded, but

0:03:46.920 --> 0:03:49.920
<v Speaker 3>sk Heinis in a record because it's going to be benefiting

0:03:49.960 --> 0:03:52.640
<v Speaker 3>from Microsoft's push into AI chips as well.

0:03:52.720 --> 0:03:54.440
<v Speaker 2>Mike, Well, that's right.

0:03:54.320 --> 0:03:56.760
<v Speaker 5>And I'm glad you brought that up, Carol, because we

0:03:56.840 --> 0:03:59.440
<v Speaker 5>saw the news yesterday. We all followed it so closely

0:03:59.840 --> 0:04:03.560
<v Speaker 5>on this plan by Microsoft to introduce a new generation

0:04:03.680 --> 0:04:07.440
<v Speaker 5>of its Maya AI chip. The Maya two hundred and

0:04:07.840 --> 0:04:11.480
<v Speaker 5>local business paper in South Korea, the mainly business newspaper,

0:04:11.520 --> 0:04:16.320
<v Speaker 5>is reporting that as many as six Skhinex HBM three

0:04:16.400 --> 0:04:20.040
<v Speaker 5>E units will go into each Maya processor. We don't

0:04:20.080 --> 0:04:24.480
<v Speaker 5>know how many of these Maya two hundred processors Microsoft

0:04:24.520 --> 0:04:28.480
<v Speaker 5>will ultimately have produced for its needs for its data

0:04:28.520 --> 0:04:32.480
<v Speaker 5>centers and for other customers as well, but the promise

0:04:33.160 --> 0:04:35.599
<v Speaker 5>is big, and it signals that there could be a

0:04:35.680 --> 0:04:41.000
<v Speaker 5>lot of demand for this HBM THREEE processor that sk

0:04:41.160 --> 0:04:44.039
<v Speaker 5>Heinex has developed to meet those AI memory needs, and

0:04:44.040 --> 0:04:46.520
<v Speaker 5>it could be something else. Now you mentioned the threat

0:04:46.640 --> 0:04:49.520
<v Speaker 5>of additional tariffs. The President yesterday warned that the South

0:04:49.600 --> 0:04:54.920
<v Speaker 5>Korea trade deal could be reworked to jack up the

0:04:55.040 --> 0:04:57.800
<v Speaker 5>teriff freight on South Korean imports to twenty five percent.

0:04:57.880 --> 0:05:01.680
<v Speaker 5>For now, we're not seeing anything effect memory, but we'll

0:05:01.720 --> 0:05:04.120
<v Speaker 5>be watching that closely because there is a lot of

0:05:04.160 --> 0:05:07.920
<v Speaker 5>pressure from the administration for more investment by South Korean

0:05:07.960 --> 0:05:09.159
<v Speaker 5>companies here in the US.

0:05:09.440 --> 0:05:11.760
<v Speaker 3>Mike Shepherd breaking it down so well as always, we

0:05:11.839 --> 0:05:14.400
<v Speaker 3>thank you AT's return to us stox right now because

0:05:14.440 --> 0:05:17.560
<v Speaker 3>if you said, the near record highs tech shares have

0:05:17.600 --> 0:05:20.440
<v Speaker 3>been leading the way again as we brace for earning season,

0:05:20.520 --> 0:05:22.240
<v Speaker 3>it comes thick and fast. At Weekles's discussed it all

0:05:22.240 --> 0:05:24.599
<v Speaker 3>with Christina who for Chief Market Strategists and Man Group,

0:05:24.640 --> 0:05:27.359
<v Speaker 3>and we still have tariff anxiety. You still have the

0:05:27.360 --> 0:05:29.039
<v Speaker 3>warriors of what the Friend's going to do tomorrow, and

0:05:29.160 --> 0:05:32.840
<v Speaker 3>yet we push higher. Is that the fundamental analysis we

0:05:32.880 --> 0:05:34.599
<v Speaker 3>should have that their numbers are going to be good.

0:05:35.160 --> 0:05:37.640
<v Speaker 6>I do think the numbers will be good, but I

0:05:37.680 --> 0:05:40.719
<v Speaker 6>think there could be obstacles as we move through the year.

0:05:42.040 --> 0:05:45.080
<v Speaker 6>And first off, I would anticipate that if we do

0:05:45.160 --> 0:05:48.440
<v Speaker 6>see a big increase or at least a substantial increase

0:05:48.640 --> 0:05:51.440
<v Speaker 6>in yields on the long end that could very easily

0:05:51.600 --> 0:05:55.599
<v Speaker 6>exert downward pressure on tech stock prices. So I think

0:05:55.600 --> 0:05:58.560
<v Speaker 6>that could be the first problem. But as we move

0:05:58.640 --> 0:06:03.320
<v Speaker 6>through the year, we could see problems with financing, some

0:06:03.520 --> 0:06:05.200
<v Speaker 6>issues with Nimby.

0:06:05.040 --> 0:06:07.640
<v Speaker 3>Okay, so go there the financing you mean around AI

0:06:07.720 --> 0:06:10.640
<v Speaker 3>data centers. You think about the anxiety building up around

0:06:10.880 --> 0:06:12.520
<v Speaker 3>Oracle and the debt that it has to take on.

0:06:12.760 --> 0:06:16.200
<v Speaker 6>Absolutely, I think that that could very well slow down

0:06:16.360 --> 0:06:19.440
<v Speaker 6>the AI data center build out. So there are a

0:06:19.520 --> 0:06:22.360
<v Speaker 6>number of different things that could slow progress over the

0:06:22.360 --> 0:06:25.520
<v Speaker 6>course of the year and really tamp down stock prices.

0:06:26.839 --> 0:06:31.120
<v Speaker 2>Christina, so stock's in near record highs and tech is

0:06:31.160 --> 0:06:34.080
<v Speaker 2>pushing the way and the Nasdaq one hundreds up for

0:06:34.080 --> 0:06:38.120
<v Speaker 2>a fifth consecutive session right ahead of earnings. Explain that

0:06:38.120 --> 0:06:40.440
<v Speaker 2>that psychology of the market, why they would push the

0:06:40.480 --> 0:06:43.760
<v Speaker 2>market higher ahead of what is a critical week for

0:06:43.839 --> 0:06:45.760
<v Speaker 2>some of the biggest technology names in the world.

0:06:46.880 --> 0:06:49.560
<v Speaker 6>Well, there is an old adage buy on the rumor

0:06:49.640 --> 0:06:51.880
<v Speaker 6>sell on the news, and I do think there is

0:06:52.080 --> 0:06:55.520
<v Speaker 6>a lot of positive sentiment right now around these companies

0:06:55.880 --> 0:07:00.760
<v Speaker 6>being able to meet and potentially exceed earning ze expectations.

0:07:00.800 --> 0:07:03.560
<v Speaker 6>So I think that's what's happening right now. I also

0:07:03.720 --> 0:07:07.040
<v Speaker 6>believe something else is occurring, and we have to recognize

0:07:07.120 --> 0:07:12.320
<v Speaker 6>that the backdrop is an economy that is sputtering. I

0:07:12.560 --> 0:07:15.160
<v Speaker 6>am in the minority in this view, but I do

0:07:15.200 --> 0:07:19.600
<v Speaker 6>think the economy is facing some very significant headwinds right now.

0:07:19.880 --> 0:07:22.760
<v Speaker 6>We just saw consumer confidence reading that was the lowest

0:07:22.800 --> 0:07:26.640
<v Speaker 6>since twenty fourteen, and I think what happens typically is

0:07:26.800 --> 0:07:31.040
<v Speaker 6>in an environment like that, investors move to technology. They

0:07:31.160 --> 0:07:35.480
<v Speaker 6>move to areas that are more defensive, that can perform

0:07:35.520 --> 0:07:39.240
<v Speaker 6>well in a variety of different environments, the secular place.

0:07:39.320 --> 0:07:44.240
<v Speaker 6>And again tech has been the poster child for secular

0:07:44.280 --> 0:07:45.440
<v Speaker 6>place for some time now.

0:07:45.680 --> 0:07:47.960
<v Speaker 2>So in that sense, though like nothing changes, we write

0:07:47.960 --> 0:07:49.880
<v Speaker 2>in our markets wrap on the terminal, which is like

0:07:49.920 --> 0:07:51.600
<v Speaker 2>it's the first thing you read every morning, right, but

0:07:51.640 --> 0:07:54.560
<v Speaker 2>it says, in spite or not, even a slide in

0:07:54.600 --> 0:07:57.920
<v Speaker 2>consumer confidence could stop the market rally. At the end

0:07:57.920 --> 0:08:00.240
<v Speaker 2>of the day, we'll go into this earnings period at

0:08:00.280 --> 0:08:03.360
<v Speaker 2>the same things capital expenditures and top line growth of

0:08:03.400 --> 0:08:06.720
<v Speaker 2>the biggest companies, and then you'll come back or your

0:08:06.800 --> 0:08:09.680
<v Speaker 2>peers will say well, these companies have really strong balance

0:08:09.720 --> 0:08:12.920
<v Speaker 2>sheets and they're quite well diversified to weather an economic

0:08:13.000 --> 0:08:14.680
<v Speaker 2>slow down. Nothing's really new.

0:08:15.800 --> 0:08:19.760
<v Speaker 6>Well, I think what is becoming increasingly true is that

0:08:19.840 --> 0:08:23.200
<v Speaker 6>there is a divorcing, a decoupling between Wall Street and

0:08:23.240 --> 0:08:26.720
<v Speaker 6>Main Street, and that is most obvious in the tech sector.

0:08:26.880 --> 0:08:30.000
<v Speaker 6>So we can see strong balance sheets, we can see

0:08:30.000 --> 0:08:34.400
<v Speaker 6>companies that are performing well. But and this is a

0:08:34.440 --> 0:08:39.600
<v Speaker 6>big butt, we could see external forces like yields on

0:08:39.600 --> 0:08:41.599
<v Speaker 6>the long end, the ten year treasure yield, if it

0:08:41.640 --> 0:08:43.480
<v Speaker 6>were to get to five percent or higher, I think

0:08:43.480 --> 0:08:47.559
<v Speaker 6>that would exert downward pressure, especially on tech stock prices.

0:08:47.600 --> 0:08:49.800
<v Speaker 3>So Christina, do you sell into that or do you

0:08:49.840 --> 0:08:51.720
<v Speaker 3>just load up when the prices get lower?

0:08:51.760 --> 0:08:55.240
<v Speaker 4>And longer term? Still they committed to tech briefly, please, So.

0:08:55.559 --> 0:08:59.440
<v Speaker 6>I would say staying committed longer term to tech, but

0:08:59.640 --> 0:09:04.800
<v Speaker 6>ensuring you're well diversified. You are taking some profit and

0:09:04.840 --> 0:09:08.079
<v Speaker 6>moving your exposure because tech is not just in the

0:09:08.160 --> 0:09:12.160
<v Speaker 6>United States, it's also in China, where valuations are significantly lower.

0:09:12.640 --> 0:09:15.640
<v Speaker 6>So this is an opportunity I think to diversify portfolios.

0:09:17.000 --> 0:09:19.760
<v Speaker 2>Christina Hooper, chief market strategist in the Man Group. Thank

0:09:19.800 --> 0:09:22.880
<v Speaker 2>you very much, Amazon is closing its Amazon branded grocery

0:09:22.920 --> 0:09:27.439
<v Speaker 2>stores and automated grab and go markets, eliminating two centerpieces

0:09:27.720 --> 0:09:31.360
<v Speaker 2>of its push into physical retail and caro. Very interesting

0:09:31.440 --> 0:09:34.360
<v Speaker 2>here because actually Amazon's continue to push higher since the news.

0:09:34.400 --> 0:09:37.600
<v Speaker 2>The main takeaway is not that they're closing fourteen ghost

0:09:37.600 --> 0:09:41.200
<v Speaker 2>stores and fifty eight fresh stores. That's small footprint, but

0:09:41.320 --> 0:09:44.280
<v Speaker 2>actually even more committed to delivery. You tell me about

0:09:44.280 --> 0:09:46.120
<v Speaker 2>the names that dropped in reaction, I.

0:09:46.120 --> 0:09:47.040
<v Speaker 4>Mean, isn't it interesting?

0:09:47.080 --> 0:09:49.240
<v Speaker 3>Well, exactly to your point, the fact that we see

0:09:49.360 --> 0:09:52.480
<v Speaker 3>door Dash, we'll see other of those delivery companies maybe

0:09:52.520 --> 0:09:54.520
<v Speaker 3>see it feeling the effects from all of this. But

0:09:54.920 --> 0:09:57.160
<v Speaker 3>what's really interesting as well to sort of take on

0:09:57.240 --> 0:10:00.000
<v Speaker 3>board is they're also deploying massive scale in terms of

0:10:00.080 --> 0:10:02.160
<v Speaker 3>bricks and water in Chicago.

0:10:02.559 --> 0:10:04.760
<v Speaker 4>But it's alongside the.

0:10:04.679 --> 0:10:06.480
<v Speaker 3>Element that's also going to be helping delivery.

0:10:06.480 --> 0:10:08.240
<v Speaker 4>It's also going to be about warehouse space.

0:10:08.600 --> 0:10:11.080
<v Speaker 3>So they're just rethinking the way in which they put

0:10:11.320 --> 0:10:12.520
<v Speaker 3>bricks and water on the ground.

0:10:12.600 --> 0:10:12.720
<v Speaker 7>Right.

0:10:12.760 --> 0:10:15.200
<v Speaker 3>Well, we're looking Walmarts, off, Ubers, off, door Dashes off.

0:10:15.240 --> 0:10:17.760
<v Speaker 3>It really speaks to maybe Amazon investors thinking this is

0:10:17.800 --> 0:10:19.520
<v Speaker 3>a sign of strength, a good pivot.

0:10:21.240 --> 0:10:24.520
<v Speaker 2>Yeah, And lastly, grocery commitment, right, Like, they're not saying

0:10:24.520 --> 0:10:27.400
<v Speaker 2>we're done with grocery, they're just saying we're moving it online.

0:10:27.440 --> 0:10:29.480
<v Speaker 2>And that's reflected in that market reaction.

0:10:29.520 --> 0:10:31.760
<v Speaker 3>Though it's quite like those Paler stores though, got to

0:10:31.800 --> 0:10:36.040
<v Speaker 3>say rest in peace. Coming up, autonomous trucking startup Gatick.

0:10:36.040 --> 0:10:38.319
<v Speaker 4>Into a new deal. We'll discuss the self.

0:10:38.160 --> 0:10:40.880
<v Speaker 3>Driving companies growth with its CEO. That's next list blue

0:10:40.920 --> 0:10:41.320
<v Speaker 3>bag Tech.

0:10:49.559 --> 0:10:52.600
<v Speaker 2>Autonomous trucking company Gatick has landed a deal with a

0:10:52.720 --> 0:10:56.040
<v Speaker 2>major consumer goods company. Gatic's not named the customer yet,

0:10:56.120 --> 0:10:59.079
<v Speaker 2>but says the deal will double its contracted revenue to

0:10:59.200 --> 0:11:02.280
<v Speaker 2>six hundred million dollars over the next five years, joining

0:11:02.320 --> 0:11:08.079
<v Speaker 2>us as Gatti CEO and co founder Galton Nrang. Look, yeah,

0:11:08.120 --> 0:11:10.240
<v Speaker 2>I'm going to few the opportunity to day in the customer.

0:11:10.280 --> 0:11:12.040
<v Speaker 2>I know that you're not going to. I've pushed you

0:11:12.080 --> 0:11:14.520
<v Speaker 2>over a number of days. But I think the main

0:11:14.520 --> 0:11:16.200
<v Speaker 2>thing our audience wants to get a sense of is

0:11:16.679 --> 0:11:19.640
<v Speaker 2>this is real. You have trucks on roads with major

0:11:19.679 --> 0:11:22.880
<v Speaker 2>customers that are paying you, and therefore you're booking revenues

0:11:22.920 --> 0:11:25.400
<v Speaker 2>on it. Take it from there and explain the reality

0:11:25.520 --> 0:11:26.040
<v Speaker 2>for sure.

0:11:26.280 --> 0:11:28.160
<v Speaker 8>So as you know, God Think is in the business

0:11:28.200 --> 0:11:32.320
<v Speaker 8>of autonomous route and today we're announcing that we're operating

0:11:32.600 --> 0:11:36.320
<v Speaker 8>fully driver lists, faith only drugs with no safety driver,

0:11:36.600 --> 0:11:41.480
<v Speaker 8>no safety observer across real faith operations, multiple markets.

0:11:41.920 --> 0:11:44.200
<v Speaker 2>To do it is small though, like ten trucks right

0:11:44.240 --> 0:11:48.040
<v Speaker 2>now in today, by year end all one hundreds of drugs.

0:11:48.320 --> 0:11:50.480
<v Speaker 8>But very soon in the coming weeks, we'll have over

0:11:50.559 --> 0:11:54.000
<v Speaker 8>sixty drugs fully driver lists on public roads doing daily

0:11:54.000 --> 0:11:55.000
<v Speaker 8>commercial operations.

0:11:55.000 --> 0:11:55.400
<v Speaker 2>That's cool.

0:11:56.480 --> 0:12:00.680
<v Speaker 3>Talk to us how legislatively this has worked? Regularly this

0:12:00.760 --> 0:12:03.480
<v Speaker 3>has worked? How have you managed to make this a reality?

0:12:03.640 --> 0:12:07.160
<v Speaker 3>While yes, we see real impact from waymowing cars, but

0:12:07.240 --> 0:12:08.760
<v Speaker 3>in certain states, in certain areas.

0:12:08.800 --> 0:12:12.240
<v Speaker 8>Where are you working so you know today we're live

0:12:12.280 --> 0:12:16.679
<v Speaker 8>across multiple markets. This is Texas, Northwest, Arkansas, Phoenix. We

0:12:16.720 --> 0:12:19.280
<v Speaker 8>work very closely with the regulators at the local, Lebel,

0:12:19.400 --> 0:12:23.240
<v Speaker 8>state level, federal level, and from the early days we

0:12:23.280 --> 0:12:27.400
<v Speaker 8>decided to focus on automating these regional networks, which is

0:12:27.480 --> 0:12:29.840
<v Speaker 8>within the states, and that's one of the fastest ways

0:12:29.840 --> 0:12:31.160
<v Speaker 8>to commercialize this technology.

0:12:32.080 --> 0:12:35.760
<v Speaker 3>Commercializing then to where we've talked about six herremillion, just

0:12:35.800 --> 0:12:36.760
<v Speaker 3>one key customer.

0:12:37.120 --> 0:12:38.080
<v Speaker 4>What do you think your revenue run?

0:12:38.160 --> 0:12:38.280
<v Speaker 6>Right?

0:12:38.320 --> 0:12:38.920
<v Speaker 4>Is going to look like.

0:12:39.559 --> 0:12:42.479
<v Speaker 8>So today we're working with some of the largest companies

0:12:42.559 --> 0:12:47.360
<v Speaker 8>across retail, grocery, e commerce, and distribution. So each of

0:12:47.400 --> 0:12:51.080
<v Speaker 8>these customers have made multi year commitment. What's unique about

0:12:51.080 --> 0:12:55.560
<v Speaker 8>these commitments is these are non cancellable commitments where our

0:12:55.679 --> 0:12:59.920
<v Speaker 8>technology is now being absorbed across their supply chain at scale.

0:13:00.360 --> 0:13:02.560
<v Speaker 2>Those are the customers that you can name. We're showing

0:13:02.600 --> 0:13:06.439
<v Speaker 2>them on the screen, Kroger, Tyson, Walmart. People will say, well,

0:13:06.440 --> 0:13:08.480
<v Speaker 2>if you can't name this one, how real is it,

0:13:08.520 --> 0:13:10.360
<v Speaker 2>I'm going to put it out there, right, because we're

0:13:10.360 --> 0:13:13.480
<v Speaker 2>transparent on this show. The business model is interesting. You

0:13:13.520 --> 0:13:16.440
<v Speaker 2>don't sell them the trucks. What is the business model?

0:13:16.440 --> 0:13:18.880
<v Speaker 8>So it's an autonomous transportation as a service model as

0:13:18.880 --> 0:13:21.480
<v Speaker 8>a service as a service, yes, where we charge a

0:13:21.520 --> 0:13:23.840
<v Speaker 8>fixed feed prodrug pert a year, and each of these

0:13:23.840 --> 0:13:26.720
<v Speaker 8>commit commitments are multi year long. So we have revenue

0:13:26.760 --> 0:13:30.079
<v Speaker 8>certainty from each of these customers and that's also very

0:13:30.120 --> 0:13:31.920
<v Speaker 8>unique compared to some of the other models.

0:13:31.600 --> 0:13:32.120
<v Speaker 9>In our space.

0:13:32.520 --> 0:13:36.600
<v Speaker 2>You have some peers in industry. One of them is Aurora, right,

0:13:36.720 --> 0:13:39.800
<v Speaker 2>there are some similarities and differences. One is that they're public.

0:13:40.240 --> 0:13:43.200
<v Speaker 2>You're private, sure, let's talk about that first. I mean,

0:13:43.440 --> 0:13:46.120
<v Speaker 2>you know, you've been pretty open that there's a route

0:13:46.120 --> 0:13:49.120
<v Speaker 2>to the public markets. What would be the motive to

0:13:49.200 --> 0:13:49.559
<v Speaker 2>do that?

0:13:49.880 --> 0:13:51.760
<v Speaker 8>So let me start with the fact that we have

0:13:51.800 --> 0:13:54.120
<v Speaker 8>a lot of respect for all the peers in the space.

0:13:54.640 --> 0:13:57.320
<v Speaker 8>But what has been our focus from day one is

0:13:57.440 --> 0:14:00.360
<v Speaker 8>helping our customers move freight from their real how to

0:14:00.400 --> 0:14:04.080
<v Speaker 8>retail stores and doing that at scale. And with this milestone,

0:14:04.080 --> 0:14:06.760
<v Speaker 8>we have been able to prove that it's real, it's

0:14:06.760 --> 0:14:11.079
<v Speaker 8>happening at scale. So today, truly there is no safety driver,

0:14:11.320 --> 0:14:14.640
<v Speaker 8>no observer on public roads and in our space, no

0:14:14.679 --> 0:14:18.640
<v Speaker 8>one can make that claim today public well, we are

0:14:18.679 --> 0:14:22.160
<v Speaker 8>well caplized today with the very strong runway and have

0:14:22.240 --> 0:14:25.520
<v Speaker 8>clear line of sight towards profitability, and we're always evaluating

0:14:25.560 --> 0:14:27.400
<v Speaker 8>all the options that we have and keeping a very

0:14:27.400 --> 0:14:29.400
<v Speaker 8>close watch on the market conditions.

0:14:29.600 --> 0:14:34.200
<v Speaker 3>Partners From a technology perspective, obviously, in Nvidia, how much

0:14:34.200 --> 0:14:36.720
<v Speaker 3>do you rely on on the hardware at the moment?

0:14:36.800 --> 0:14:38.880
<v Speaker 4>How much is that cost base? Where do you look

0:14:38.920 --> 0:14:40.120
<v Speaker 4>for these partnerships.

0:14:40.960 --> 0:14:44.960
<v Speaker 8>So with our latest generation, generation three, the hardware is

0:14:45.120 --> 0:14:48.280
<v Speaker 8>fully hardened and we're working very closely with the Nvidia

0:14:48.400 --> 0:14:52.080
<v Speaker 8>with the Suzu Motors to mass produce these drugs, and

0:14:52.760 --> 0:14:55.360
<v Speaker 8>towards the end of next year, Isuzu's production plant in

0:14:55.400 --> 0:14:58.120
<v Speaker 8>South Carolina will be up and running and we expect

0:14:58.120 --> 0:15:01.080
<v Speaker 8>to have these vehicles coming off the line at the

0:15:01.360 --> 0:15:04.800
<v Speaker 8>big volumes. We're looking at tens of thousands of vehicles annually.

0:15:05.440 --> 0:15:07.640
<v Speaker 2>Caroline's really asked this, right, but we should go back

0:15:07.680 --> 0:15:10.840
<v Speaker 2>to it, which is the regulatory environment. Yes, you know

0:15:10.920 --> 0:15:14.880
<v Speaker 2>you've launched in these markets because you can. How much

0:15:14.960 --> 0:15:18.600
<v Speaker 2>do you think we need this federal level framework for

0:15:18.680 --> 0:15:21.360
<v Speaker 2>you to go from very small to something more substantial.

0:15:21.800 --> 0:15:25.080
<v Speaker 8>So it's really important to like have a nationwide av framework, right,

0:15:25.080 --> 0:15:27.560
<v Speaker 8>So we work and we don't. Well, we're working very

0:15:27.560 --> 0:15:31.600
<v Speaker 8>closely with the current administration to inform them, educate them

0:15:31.600 --> 0:15:33.800
<v Speaker 8>on the safelod lot of this technology, and we expect

0:15:34.280 --> 0:15:37.440
<v Speaker 8>to have a nation wide framework really soon.

0:15:38.320 --> 0:15:41.720
<v Speaker 3>Come back when you've helped work that one out. Golton Narraang.

0:15:41.760 --> 0:15:45.160
<v Speaker 3>It's great has in time with the GETIC CEO. Meanwhile,

0:15:45.520 --> 0:15:49.640
<v Speaker 3>elsewhere in vehicles, GM CEO Mary Barras As a regulatory.

0:15:49.240 --> 0:15:50.880
<v Speaker 4>Shift away from EVS.

0:15:50.760 --> 0:15:53.240
<v Speaker 3>We'll see slower adoption, but the company is still committed

0:15:53.240 --> 0:15:55.520
<v Speaker 3>to its EV pipeline MEGS, Matt Miller sat down with

0:15:55.600 --> 0:15:57.960
<v Speaker 3>the GM CEO, Mary Barrow, take a listen.

0:15:58.600 --> 0:15:59.360
<v Speaker 9>The whole industry.

0:15:59.360 --> 0:16:01.960
<v Speaker 7>We were on a p as that we were working

0:16:02.000 --> 0:16:04.920
<v Speaker 7>to get to forty to fifty percent evs by twenty thirty.

0:16:05.000 --> 0:16:08.080
<v Speaker 7>So now that the regulatory environment has changed and the

0:16:08.080 --> 0:16:10.960
<v Speaker 7>consumer incentives have gone, there is going to be slower

0:16:11.000 --> 0:16:13.560
<v Speaker 7>EV adoption. We're still committed evs and we've got a

0:16:13.600 --> 0:16:16.480
<v Speaker 7>great portfolio that we're working on taking costs out. But

0:16:16.520 --> 0:16:18.880
<v Speaker 7>in the meantime, we also have a great internal combustion

0:16:19.000 --> 0:16:22.240
<v Speaker 7>engine platform, and you're right, full size trucks are one

0:16:22.280 --> 0:16:25.440
<v Speaker 7>of the strengths we have, as well as full size SUVs,

0:16:25.480 --> 0:16:28.000
<v Speaker 7>mid sized crossovers. So we really have a strong line

0:16:28.040 --> 0:16:30.240
<v Speaker 7>up across the board and that is really what is

0:16:30.800 --> 0:16:32.280
<v Speaker 7>fueling our business success.

0:16:32.480 --> 0:16:35.800
<v Speaker 10>I have had as the host of Hot Pursuit of

0:16:36.000 --> 0:16:39.200
<v Speaker 10>Bloomberg podcast about cars, the opportunity to drive a lot

0:16:39.240 --> 0:16:42.960
<v Speaker 10>of your evs, from the Sierra EV to the Hummer

0:16:43.000 --> 0:16:48.360
<v Speaker 10>EV to the Escalaid IQ and they're fantastic products. Are

0:16:49.200 --> 0:16:52.800
<v Speaker 10>you not deterred that Americans aren't buying more of these vehicles?

0:16:53.040 --> 0:16:55.600
<v Speaker 10>You know how capable, how capable they are you know

0:16:55.640 --> 0:16:59.520
<v Speaker 10>how useful they are in daily life. What needs to

0:16:59.600 --> 0:17:01.840
<v Speaker 10>happen for more Americans to buy these evs?

0:17:02.520 --> 0:17:04.880
<v Speaker 7>Well, I think the consumer is very rational when they're

0:17:04.880 --> 0:17:06.399
<v Speaker 7>making a decision about what card by.

0:17:06.480 --> 0:17:07.480
<v Speaker 9>Let's remember it's one.

0:17:07.440 --> 0:17:11.600
<v Speaker 7>Of the most important and expensive decisions that they make.

0:17:11.920 --> 0:17:13.439
<v Speaker 7>And one of the things we have to continue to

0:17:13.480 --> 0:17:16.040
<v Speaker 7>work on to drive ev adaption is a more robust

0:17:16.160 --> 0:17:19.439
<v Speaker 7>charging infrastructure, and that still is continuing to happen, So

0:17:19.480 --> 0:17:22.320
<v Speaker 7>every quarter more and more chargers are available. I think

0:17:22.560 --> 0:17:25.360
<v Speaker 7>we as people in their individual communities see that they've

0:17:25.359 --> 0:17:27.879
<v Speaker 7>got a robust charging network and believe if they have

0:17:27.920 --> 0:17:29.600
<v Speaker 7>to go on a road trip there's that as well,

0:17:29.600 --> 0:17:30.960
<v Speaker 7>they're going to make that choice.

0:17:32.880 --> 0:17:36.440
<v Speaker 2>That was GM CEO Mary Barras speaking with Bloomberg's Matt Miller.

0:17:36.520 --> 0:17:39.560
<v Speaker 2>Now coming up, we will dive into anthropics new tool

0:17:39.840 --> 0:17:43.720
<v Speaker 2>and how it could broadly impact jobs. Come up next,

0:17:43.920 --> 0:17:57.760
<v Speaker 2>this is Bloomberg Tech Silicon Valley leaders adjoining tech workers

0:17:57.920 --> 0:18:02.440
<v Speaker 2>decrying tensions in Minnesota after two US citizens were fatally

0:18:02.480 --> 0:18:06.600
<v Speaker 2>shot by federal agents. Anthropic CEO Dario Emma Day posting

0:18:06.640 --> 0:18:11.520
<v Speaker 2>about the quote importance of preserving democratic values and rights.

0:18:11.760 --> 0:18:14.879
<v Speaker 2>Open AI CEO Sam Altman wrote in an internal memo

0:18:14.960 --> 0:18:18.879
<v Speaker 2>to staff yesterday, that's what quote. What's happening with Ice

0:18:19.000 --> 0:18:21.720
<v Speaker 2>is going too far. That's according to a Bloomberg source.

0:18:21.760 --> 0:18:24.880
<v Speaker 2>The executives joined the chorus of other tech leaders, including

0:18:24.920 --> 0:18:28.600
<v Speaker 2>LinkedIn co founder Reid Hoffman, Reddit co founder Alexis o'hanian,

0:18:28.920 --> 0:18:32.400
<v Speaker 2>and venture capitalist Vinode Koestler, who have spoken out.

0:18:32.440 --> 0:18:36.680
<v Speaker 3>Karen one to watch now, let's shift elsewhere for Anthropic

0:18:36.800 --> 0:18:39.600
<v Speaker 3>right now, because it is released a new version on

0:18:39.680 --> 0:18:43.080
<v Speaker 3>its Claude chatbot called claud cowork. They can take actions

0:18:43.200 --> 0:18:46.360
<v Speaker 3>on a computer on your computer. Bloomberg opinion columnist parme

0:18:46.440 --> 0:18:49.680
<v Speaker 3>Olsen writes that this could have broad repercussions and potentially

0:18:49.680 --> 0:18:52.560
<v Speaker 3>be painful for some white collar workers, even as Anthropic

0:18:52.560 --> 0:18:56.040
<v Speaker 3>frames itself as the most safety conscious of the AI developers.

0:18:56.320 --> 0:19:00.359
<v Speaker 3>Parmi Elsen joins us, Now, so the redefinement of the

0:19:00.680 --> 0:19:03.879
<v Speaker 3>engineering talent right now, the companies you've spoken to, How

0:19:04.040 --> 0:19:06.159
<v Speaker 3>is Claudes products changing that?

0:19:08.200 --> 0:19:08.480
<v Speaker 2>Yeah?

0:19:08.560 --> 0:19:12.800
<v Speaker 11>I mean, first of all, claud cowork is the new product.

0:19:12.800 --> 0:19:15.960
<v Speaker 11>And before that was claud Code, which is an AI

0:19:16.040 --> 0:19:19.800
<v Speaker 11>tool for writing software programs, and that's been around for

0:19:19.840 --> 0:19:22.240
<v Speaker 11>about a year and it's been getting rave reviews among

0:19:22.320 --> 0:19:26.280
<v Speaker 11>technologists and coders who can use it to spin up

0:19:26.280 --> 0:19:30.879
<v Speaker 11>a website within hours, and the people an Anthropic effectually

0:19:31.000 --> 0:19:33.720
<v Speaker 11>use that tool to build this new tool. They did

0:19:33.760 --> 0:19:36.280
<v Speaker 11>it in ten days. They didn't write a single line

0:19:36.320 --> 0:19:40.720
<v Speaker 11>of code, or very little code. And this new version

0:19:40.800 --> 0:19:42.960
<v Speaker 11>is something that it's sort of like people have been

0:19:42.960 --> 0:19:45.360
<v Speaker 11>talking about the word AI agents. That was a big

0:19:45.400 --> 0:19:48.040
<v Speaker 11>buzzword last year, but it sort of fell flat.

0:19:48.080 --> 0:19:49.640
<v Speaker 9>There were issues with reliability.

0:19:50.000 --> 0:19:54.119
<v Speaker 11>This could be perhaps the first mainstream breakout of an

0:19:54.160 --> 0:19:57.480
<v Speaker 11>AI agent because it does work on your computer, accesses

0:19:57.680 --> 0:20:01.440
<v Speaker 11>files and applications, and not just saying that it does

0:20:01.480 --> 0:20:05.000
<v Speaker 11>that people are actually using I've used it, and there's

0:20:05.000 --> 0:20:08.480
<v Speaker 11>been a lot of general kind of excitement and buzz

0:20:08.640 --> 0:20:11.440
<v Speaker 11>about this tool that is able to just take action,

0:20:11.640 --> 0:20:15.480
<v Speaker 11>not just you know if you research in.

0:20:15.560 --> 0:20:17.640
<v Speaker 2>Part of the industry is paying attention. Like I think

0:20:17.680 --> 0:20:21.399
<v Speaker 2>that CS Caroline was speaking to a Montenesia from General Catalyst.

0:20:21.440 --> 0:20:22.760
<v Speaker 2>I think he summed it up pretty well.

0:20:22.920 --> 0:20:27.320
<v Speaker 12>Just listen to this, yeah, squad, it's it's really redefining

0:20:27.359 --> 0:20:29.879
<v Speaker 12>the engineering department, and just think about the size of

0:20:29.920 --> 0:20:33.320
<v Speaker 12>that market you might you spend on tools and engineers

0:20:33.359 --> 0:20:36.720
<v Speaker 12>to be able to build products, and you know, the

0:20:36.720 --> 0:20:41.280
<v Speaker 12>amount of progress is like Silicon Value companies now code

0:20:41.280 --> 0:20:43.360
<v Speaker 12>self rights for most of what they do. I think

0:20:43.359 --> 0:20:45.359
<v Speaker 12>it's a real transformation with clouds really enabled.

0:20:46.840 --> 0:20:49.440
<v Speaker 2>There there's a line in your Bloomberg opinion column, which

0:20:49.480 --> 0:20:50.800
<v Speaker 2>by the way, is one of the most read things

0:20:50.840 --> 0:20:55.439
<v Speaker 2>today on Bloomberg about the relevance to Microsoft. You know,

0:20:55.480 --> 0:20:58.159
<v Speaker 2>Microsoft historically is very good at selling software that you

0:20:58.160 --> 0:21:00.720
<v Speaker 2>could otherwise get for free. Just just talk a little

0:21:00.760 --> 0:21:01.960
<v Speaker 2>bit more about that. You kind of flicked it.

0:21:03.359 --> 0:21:05.719
<v Speaker 11>I just looked at it because I thought Cowork is

0:21:05.880 --> 0:21:09.200
<v Speaker 11>pretty much what Copilot could have been and probably should

0:21:09.200 --> 0:21:14.320
<v Speaker 11>have been. Copilot is the AI tool that's underpinned by CHATGBT,

0:21:14.440 --> 0:21:17.240
<v Speaker 11>GPT four point five or whatever the latest model is,

0:21:17.600 --> 0:21:19.800
<v Speaker 11>and it has access to all your office tools, so

0:21:19.880 --> 0:21:23.240
<v Speaker 11>it should be able to, you know, take documents from

0:21:23.240 --> 0:21:26.040
<v Speaker 11>a particular folder and turn them into a spreadsheet, as

0:21:26.200 --> 0:21:28.560
<v Speaker 11>claud Cowork can do, but it doesn't have quite that

0:21:28.600 --> 0:21:31.879
<v Speaker 11>same capability. So I think the speed at which Anthropic

0:21:32.000 --> 0:21:34.400
<v Speaker 11>was able to do this and using an AI tool

0:21:34.680 --> 0:21:37.439
<v Speaker 11>to build the software in the first place, really speaks

0:21:37.440 --> 0:21:41.040
<v Speaker 11>to how effective AI coding has become. You know, coders

0:21:41.040 --> 0:21:42.959
<v Speaker 11>are saying now they don't even write code anymore. They

0:21:43.000 --> 0:21:45.520
<v Speaker 11>just talked to it in plain language. And the reason

0:21:45.560 --> 0:21:48.760
<v Speaker 11>I think this is kind of meaningful for other jobs

0:21:48.880 --> 0:21:52.520
<v Speaker 11>is coding AI coding a tool that can do that

0:21:53.240 --> 0:21:56.719
<v Speaker 11>can generalize to other domains. This is what Anthropics CEO

0:21:56.840 --> 0:21:59.439
<v Speaker 11>has been saying. That's why they're moving into healthcare and

0:21:59.520 --> 0:22:02.520
<v Speaker 11>who knows what other areas they will move into. But

0:22:02.600 --> 0:22:05.280
<v Speaker 11>I think because computer code is such a perfect digital

0:22:05.320 --> 0:22:08.919
<v Speaker 11>representation of you know, the behavior that you and the

0:22:08.960 --> 0:22:12.160
<v Speaker 11>actions that you can take online. That's why it can

0:22:12.320 --> 0:22:14.680
<v Speaker 11>be so good as a tool to do other things

0:22:14.680 --> 0:22:15.679
<v Speaker 11>like operate a computer.

0:22:16.760 --> 0:22:19.600
<v Speaker 2>Bloomberg Opinions, PA me awesome with today's must read, Thank

0:22:19.640 --> 0:22:22.600
<v Speaker 2>you very much, so coming up Northward raises one hundred

0:22:22.640 --> 0:22:25.320
<v Speaker 2>million dollars in its latest funding. We speak with the

0:22:25.359 --> 0:22:29.439
<v Speaker 2>CEO Bridget Menla. That conversation coming up next and you

0:22:29.440 --> 0:22:31.720
<v Speaker 2>don't want to miss it. This is Bloomberg Tech.

0:22:38.840 --> 0:22:39.960
<v Speaker 4>Welcome back to Bloomberg Tech.

0:22:39.960 --> 0:22:42.680
<v Speaker 3>A quick check on these markets Nasdaq one hundred shows

0:22:42.880 --> 0:22:44.919
<v Speaker 3>big tech is back on top. We're still almost a

0:22:44.920 --> 0:22:48.480
<v Speaker 3>percentage point as we brace for mag seven earnings. Interesting

0:22:48.520 --> 0:22:50.719
<v Speaker 3>move for bitcoin, we call it digital gold Well it's

0:22:50.760 --> 0:22:52.959
<v Speaker 3>not getting the debasement trade that real gold is. At

0:22:52.960 --> 0:22:55.200
<v Speaker 3>the moment, we're an eighty two hundred and forty six though,

0:22:55.320 --> 0:22:57.560
<v Speaker 3>just up in the green ever so slightly. Move on

0:22:57.600 --> 0:22:59.480
<v Speaker 3>to the individual movers. We want you to keep an

0:22:59.520 --> 0:23:01.960
<v Speaker 3>eye on Amazon up almost one and a half percent.

0:23:02.280 --> 0:23:06.320
<v Speaker 3>They're closing Amazon Fresh Amazon ghost stores with some locations

0:23:06.320 --> 0:23:08.480
<v Speaker 3>are going to be converted into whole foods market stores. Look,

0:23:08.600 --> 0:23:10.879
<v Speaker 3>they are not moving away from groceries. They're going to

0:23:10.880 --> 0:23:13.919
<v Speaker 3>sell them online and offline. But really this is about

0:23:13.960 --> 0:23:16.520
<v Speaker 3>delivery once again. And you also have to look at

0:23:16.520 --> 0:23:18.280
<v Speaker 3>what's happening over at Pinterest. We're going to dwell on

0:23:18.280 --> 0:23:20.119
<v Speaker 3>that for a minute. We're off by almost ten percent.

0:23:20.840 --> 0:23:23.520
<v Speaker 3>They are letting go of people less than fifteen percent

0:23:23.560 --> 0:23:25.600
<v Speaker 3>of its workforce. We understand that they're planning to reduce

0:23:25.640 --> 0:23:28.359
<v Speaker 3>office space as well, and Bloomberg Intelligence is saying it

0:23:28.440 --> 0:23:32.240
<v Speaker 3>likely suggests more aggressive investments in building AI capabilities. Let's

0:23:32.280 --> 0:23:36.119
<v Speaker 3>stick in with blouemmeg Exiti's reporter around Verastelica, a company.

0:23:35.760 --> 0:23:37.240
<v Speaker 4>That has seen competition ride.

0:23:37.280 --> 0:23:39.680
<v Speaker 3>Maybe as we talk more and more about Agendaki, we're

0:23:39.720 --> 0:23:42.159
<v Speaker 3>just talking about it in terms of anthropic For example.

0:23:43.080 --> 0:23:45.440
<v Speaker 13>Yes, good morning, thanks for having me. So pinterest is

0:23:45.480 --> 0:23:47.760
<v Speaker 13>down quite significantly today. It does seem like there is

0:23:47.800 --> 0:23:50.680
<v Speaker 13>a lot of concern that these workforce reductions and other

0:23:50.720 --> 0:23:53.199
<v Speaker 13>steps that they're taking in terms of this restructuring, that

0:23:53.320 --> 0:23:56.840
<v Speaker 13>maybe this pours in some weaker growth trends at the company.

0:23:57.040 --> 0:23:58.840
<v Speaker 13>As I'm sure you know, this stock has struggled for

0:23:58.960 --> 0:24:01.800
<v Speaker 13>quite a bit of time as it really just has

0:24:01.840 --> 0:24:05.120
<v Speaker 13>a lot of difficulty going up against the bigger players

0:24:05.160 --> 0:24:08.280
<v Speaker 13>in the space, most notably Meta. So the stock is

0:24:08.320 --> 0:24:09.960
<v Speaker 13>quite down, and I think people are sort of like

0:24:10.000 --> 0:24:11.960
<v Speaker 13>wondering what's going to be sort of a catalyst or

0:24:11.960 --> 0:24:12.880
<v Speaker 13>revive growth here.

0:24:14.119 --> 0:24:17.480
<v Speaker 2>Ryan, Data is fun. I really hope that you agree

0:24:17.520 --> 0:24:19.560
<v Speaker 2>with that. And so I'm looking at the Bloomberg terminal.

0:24:19.840 --> 0:24:22.639
<v Speaker 2>The Nazak one hundred is for a five day stretch

0:24:22.680 --> 0:24:24.720
<v Speaker 2>the first time this year. It had a five day

0:24:24.720 --> 0:24:27.360
<v Speaker 2>stretch at the end of December, so not that long ago.

0:24:27.960 --> 0:24:32.480
<v Speaker 2>We're right on the cusp of huge earnings and tech

0:24:32.560 --> 0:24:36.720
<v Speaker 2>is driving this market higher. Why great question.

0:24:36.760 --> 0:24:39.840
<v Speaker 13>So going into this recent rally, obviously there had been

0:24:39.880 --> 0:24:42.080
<v Speaker 13>a rotation out of Tech, a lot of people looking

0:24:42.080 --> 0:24:44.520
<v Speaker 13>elsewhere in the market, especially sort of cyclical parts of

0:24:44.600 --> 0:24:45.160
<v Speaker 13>the market.

0:24:45.280 --> 0:24:47.280
<v Speaker 2>There was some concern about Tech's earnings.

0:24:47.800 --> 0:24:50.080
<v Speaker 13>Is growth decelerating or is this going to be enough

0:24:50.119 --> 0:24:53.240
<v Speaker 13>to justify the valuations there. At the same time, people

0:24:53.280 --> 0:24:56.040
<v Speaker 13>continue to view tech as really a port of safety

0:24:56.080 --> 0:24:59.000
<v Speaker 13>in the market, continues to be very dominant and still

0:24:59.000 --> 0:25:01.080
<v Speaker 13>has the highest growth among the S and P five

0:25:01.160 --> 0:25:04.600
<v Speaker 13>hundred sectors. People remain pretty positive about his prospects, about

0:25:04.600 --> 0:25:06.919
<v Speaker 13>the potential of AI, all that is there. It's not

0:25:06.960 --> 0:25:08.960
<v Speaker 13>surprising to me to see a little bit of people

0:25:09.000 --> 0:25:11.959
<v Speaker 13>wanting to jump in buy that dip, you know, especially

0:25:11.960 --> 0:25:12.800
<v Speaker 13>ahead of earnings.

0:25:15.160 --> 0:25:17.760
<v Speaker 2>The most ryan for Stelica. Oh sorry, carry, I got

0:25:17.840 --> 0:25:21.280
<v Speaker 2>excited about the data thing I do with the earnings

0:25:21.320 --> 0:25:24.080
<v Speaker 2>preview and embraced right, let's go to private markets for

0:25:24.119 --> 0:25:27.119
<v Speaker 2>a second. Northwood has announced it's raised one hundred million

0:25:27.160 --> 0:25:30.720
<v Speaker 2>dollars in new funding led by Washington Harbor Partners and

0:25:30.760 --> 0:25:34.480
<v Speaker 2>Indres and Horowitz. The Southern California based company makes phased

0:25:34.600 --> 0:25:37.560
<v Speaker 2>array and tenors and other things that help increase satellite

0:25:37.600 --> 0:25:41.080
<v Speaker 2>connectivity here on Earth. Here with the latest is Bridget

0:25:41.119 --> 0:25:45.359
<v Speaker 2>Menla Northwood CEO. You know, Bridget, We've been fortunate to

0:25:45.359 --> 0:25:47.120
<v Speaker 2>talk to you, you know, a number of times over

0:25:47.520 --> 0:25:50.040
<v Speaker 2>over the last year. Actually, like this is less than

0:25:50.040 --> 0:25:52.399
<v Speaker 2>a year from your Series A. And the thing that

0:25:52.440 --> 0:25:54.920
<v Speaker 2>I've learned speaking to us future investors is that you

0:25:55.840 --> 0:25:59.080
<v Speaker 2>move quickly, right, you move quickly on deployment of the tech.

0:25:59.320 --> 0:26:02.520
<v Speaker 2>But you've also let's start by just asking like, why

0:26:02.520 --> 0:26:04.400
<v Speaker 2>did you need to raise one hundred million dollars here?

0:26:04.560 --> 0:26:06.200
<v Speaker 2>There must be a need for that capital.

0:26:07.840 --> 0:26:11.520
<v Speaker 14>Yeah, absolutely, thanks for having me again, It's great to

0:26:11.560 --> 0:26:15.200
<v Speaker 14>be speaking with you all. For us, it's really about

0:26:15.240 --> 0:26:18.639
<v Speaker 14>taking space missions further faster. I think you guys have

0:26:18.640 --> 0:26:21.520
<v Speaker 14>been really tracking the developments in the space industry over

0:26:21.560 --> 0:26:23.879
<v Speaker 14>the past year, both on the commercial side and on

0:26:24.080 --> 0:26:24.840
<v Speaker 14>government side.

0:26:25.240 --> 0:26:26.800
<v Speaker 9>Domestically and abroad.

0:26:26.840 --> 0:26:29.240
<v Speaker 14>There's a ton of enthusiasm for what we can do

0:26:29.320 --> 0:26:31.320
<v Speaker 14>in space and really changing our.

0:26:31.200 --> 0:26:32.600
<v Speaker 9>Perceptions on what's possible.

0:26:33.400 --> 0:26:37.240
<v Speaker 14>Oftentimes, there winds up being more friction and taking those

0:26:37.240 --> 0:26:39.840
<v Speaker 14>space missions live due to the ground and that's something

0:26:39.840 --> 0:26:41.760
<v Speaker 14>that has to change. We have to be able to

0:26:42.119 --> 0:26:44.800
<v Speaker 14>push the boundaries on capabilities, and we have to be

0:26:44.840 --> 0:26:47.159
<v Speaker 14>able to do that on a rapid time scale. So

0:26:47.240 --> 0:26:50.800
<v Speaker 14>for us, what this funding represents is a significant amount

0:26:50.840 --> 0:26:52.960
<v Speaker 14>of demand that we've seen from a wide variety of

0:26:53.040 --> 0:26:55.640
<v Speaker 14>customers and being able to enable their missions to go

0:26:55.840 --> 0:27:00.560
<v Speaker 14>further faster. So this year has been a really exciting

0:27:00.960 --> 0:27:03.239
<v Speaker 14>example for us to kind of show what that end

0:27:03.280 --> 0:27:06.119
<v Speaker 14>to end concept looks like for Northwood. Many people do

0:27:06.240 --> 0:27:08.960
<v Speaker 14>know us by our Phase raise, which is critical to

0:27:09.000 --> 0:27:12.520
<v Speaker 14>how we think about the ground really introducing novel hardware

0:27:12.520 --> 0:27:14.840
<v Speaker 14>solutions so that we can do more in space. But

0:27:14.960 --> 0:27:17.960
<v Speaker 14>we view ourselves as an end to end partner for

0:27:18.040 --> 0:27:20.320
<v Speaker 14>these space missions all the way from the concept that

0:27:20.359 --> 0:27:22.399
<v Speaker 14>they are initially coming up with to the time when

0:27:22.400 --> 0:27:25.400
<v Speaker 14>their data is streaming live and actually you know, delivered

0:27:25.400 --> 0:27:26.159
<v Speaker 14>to end users.

0:27:26.359 --> 0:27:27.399
<v Speaker 9>And we've actually done that.

0:27:27.440 --> 0:27:30.480
<v Speaker 14>We've gone from an initial concept of saying, hey, let's

0:27:30.480 --> 0:27:33.720
<v Speaker 14>have dynamic links that you can access not just from

0:27:33.760 --> 0:27:36.000
<v Speaker 14>low Earth orbit but all the way up to geostationary

0:27:36.080 --> 0:27:39.960
<v Speaker 14>orbit in the same system, and then let's show how

0:27:39.960 --> 0:27:42.439
<v Speaker 14>fast we can bring that concept into reality. And so

0:27:42.880 --> 0:27:46.160
<v Speaker 14>you know, we're talking today as well about our contract

0:27:46.200 --> 0:27:48.399
<v Speaker 14>that we close with the US Space Force.

0:27:48.760 --> 0:27:50.639
<v Speaker 2>Well, bridget let me jump in here. Like they know,

0:27:50.680 --> 0:27:53.600
<v Speaker 2>it's a forty nine million dollar contract with the Space Force.

0:27:54.119 --> 0:27:56.240
<v Speaker 2>You know, what will you be doing with them specifically?

0:27:56.320 --> 0:27:58.840
<v Speaker 2>But also my understanding is that there is a link

0:27:58.880 --> 0:28:01.679
<v Speaker 2>here between the money that you raised in the Series

0:28:01.800 --> 0:28:04.679
<v Speaker 2>B and being able to kind of just execute on

0:28:04.720 --> 0:28:05.480
<v Speaker 2>that contract.

0:28:07.000 --> 0:28:11.399
<v Speaker 14>Absolutely well, we've already executed on that contract across a

0:28:11.480 --> 0:28:16.320
<v Speaker 14>number of milestones. So contract was executed and at this

0:28:16.359 --> 0:28:19.480
<v Speaker 14>point there's been a three month turnaround time from kickoff

0:28:19.520 --> 0:28:23.240
<v Speaker 14>of that contract to actually delivering links live in the field.

0:28:23.840 --> 0:28:26.200
<v Speaker 14>So we have those links live in the field already,

0:28:26.320 --> 0:28:28.720
<v Speaker 14>and so what the funding represents for us is, let's

0:28:28.880 --> 0:28:31.520
<v Speaker 14>scale that model, Let's do it more. Let's demonstrate how

0:28:31.520 --> 0:28:36.280
<v Speaker 14>we're able to deploy a global network of this portal

0:28:36.320 --> 0:28:40.160
<v Speaker 14>product that supports the dynamic links between lower orbit and

0:28:40.160 --> 0:28:44.040
<v Speaker 14>geostationary orbit, but also serve up more space capabilities that

0:28:44.080 --> 0:28:46.600
<v Speaker 14>we're getting a lot of appetite for. So the funding

0:28:46.600 --> 0:28:49.360
<v Speaker 14>really represents being able to serve the appetite that we're

0:28:49.360 --> 0:28:51.800
<v Speaker 14>seeing and hit larger production volumes.

0:28:52.040 --> 0:28:53.600
<v Speaker 3>We've been lucky enough to talk to some of your

0:28:53.680 --> 0:28:55.880
<v Speaker 3>key investors and Mina has been on the show before

0:28:55.920 --> 0:28:58.160
<v Speaker 3>from Washington Harbor Partners, and you put it to Ed

0:28:58.240 --> 0:29:02.360
<v Speaker 3>that Northwood provides the only viable approach capable of scaling

0:29:02.400 --> 0:29:06.280
<v Speaker 3>ground station capacity, but you're not actually technically the only

0:29:06.840 --> 0:29:09.640
<v Speaker 3>approach that could be taken because you could also go

0:29:09.640 --> 0:29:11.800
<v Speaker 3>to blue Halo for example. So what is your unique

0:29:11.800 --> 0:29:14.600
<v Speaker 3>setting point, how you differentiate it from others that have

0:29:14.640 --> 0:29:15.600
<v Speaker 3>been winning contracts.

0:29:17.160 --> 0:29:19.640
<v Speaker 14>Yeah, I think the way that we view our difference

0:29:19.720 --> 0:29:22.960
<v Speaker 14>is really for space providers today, they wind up running

0:29:23.120 --> 0:29:25.880
<v Speaker 14>two companies. They wind up having to run the space

0:29:25.920 --> 0:29:28.600
<v Speaker 14>mission that they're supporting, but they also have to stitch

0:29:28.640 --> 0:29:32.360
<v Speaker 14>together a complex value chain of different pieces of the ground.

0:29:32.480 --> 0:29:35.000
<v Speaker 9>You know, they have to think about ground hardware like you.

0:29:34.960 --> 0:29:38.200
<v Speaker 14>Mentioned, you know, blue Halo and other developer of phase

0:29:38.280 --> 0:29:40.440
<v Speaker 14>or A hardware, but they also have to think about,

0:29:40.800 --> 0:29:45.320
<v Speaker 14>you know, sites, global shipping logistics operations around the world.

0:29:45.320 --> 0:29:47.240
<v Speaker 14>They have to think about the software interfaces in the

0:29:47.280 --> 0:29:49.920
<v Speaker 14>network backbone attached to that. And so where we find

0:29:49.920 --> 0:29:53.320
<v Speaker 14>ourselves really differentiated is we take on that full problem scope.

0:29:53.640 --> 0:29:55.640
<v Speaker 14>And I think you know, what we've connected with with

0:29:55.760 --> 0:29:59.040
<v Speaker 14>MINA specifically on is the importance of being able to

0:29:59.080 --> 0:30:01.880
<v Speaker 14>deliver the end to end solution and do it on

0:30:01.920 --> 0:30:04.920
<v Speaker 14>a condensed timeline. And we feel like there's huge value

0:30:04.920 --> 0:30:06.680
<v Speaker 14>in being able to do that, and that's why we've

0:30:06.920 --> 0:30:08.800
<v Speaker 14>invested in that kind of differentiated approach.

0:30:09.480 --> 0:30:12.440
<v Speaker 3>You've kindly said, we've been focused on space for quite

0:30:12.440 --> 0:30:14.280
<v Speaker 3>a while here on the show, and many are now

0:30:14.320 --> 0:30:15.800
<v Speaker 3>training that advice on SpaceX.

0:30:15.840 --> 0:30:19.000
<v Speaker 4>But are you winning contract? How's your relationship being built

0:30:19.040 --> 0:30:21.160
<v Speaker 4>with Starlink for example? Are the I any talks along

0:30:21.160 --> 0:30:21.960
<v Speaker 4>that motion?

0:30:23.680 --> 0:30:23.840
<v Speaker 11>Yeah.

0:30:23.880 --> 0:30:27.200
<v Speaker 14>I think for us, we've seen significant interests from commercial

0:30:27.360 --> 0:30:32.560
<v Speaker 14>as well as government use cases. The ambition and the

0:30:32.640 --> 0:30:36.520
<v Speaker 14>challenge for space just continues to grow. And for ourselves,

0:30:36.520 --> 0:30:39.760
<v Speaker 14>we've had contact with that company and with other companies,

0:30:40.160 --> 0:30:43.560
<v Speaker 14>and we're excited to have our capabilities just kind of

0:30:43.560 --> 0:30:47.040
<v Speaker 14>be the proof in themselves that we are the infrastructure

0:30:47.080 --> 0:30:50.160
<v Speaker 14>provider that makes sense for a whole host of industry

0:30:50.240 --> 0:30:50.760
<v Speaker 14>use cases.

0:30:51.800 --> 0:30:54.720
<v Speaker 2>Bridgie, I know you don't want to focus on this necessarily.

0:30:54.760 --> 0:30:59.760
<v Speaker 2>You know, your former actor, platinum singer songwriter, you went away,

0:31:00.080 --> 0:31:03.840
<v Speaker 2>turned to academia, founded Northwood right at the end of

0:31:03.880 --> 0:31:06.320
<v Speaker 2>twenty twenty two, did a series A at the beginning

0:31:06.320 --> 0:31:08.600
<v Speaker 2>of twenty four and now here we are, and I

0:31:08.640 --> 0:31:11.080
<v Speaker 2>think there's a lot of interest to learn how big

0:31:11.160 --> 0:31:13.880
<v Speaker 2>is Northwood now? How many people? What is your footprint?

0:31:14.160 --> 0:31:16.720
<v Speaker 2>Where are you deployed around the world, because you have

0:31:16.800 --> 0:31:17.800
<v Speaker 2>done it quite quickly.

0:31:19.120 --> 0:31:23.920
<v Speaker 14>Yeah, we're just around seventy people. We have sites deployed

0:31:23.920 --> 0:31:27.880
<v Speaker 14>across two continents. At this point in time, we have

0:31:28.120 --> 0:31:31.600
<v Speaker 14>a full production facility running not just our Phasory product,

0:31:31.640 --> 0:31:34.560
<v Speaker 14>but two other hardware products that both fit in with

0:31:34.600 --> 0:31:37.880
<v Speaker 14>that hardware stack as well as work and complement to it.

0:31:38.480 --> 0:31:41.600
<v Speaker 14>So excited to be sharing those product lines as well.

0:31:42.320 --> 0:31:43.560
<v Speaker 14>And this year is going to be a really big

0:31:43.640 --> 0:31:46.600
<v Speaker 14>year for us. We're planning on deploying eighteen sites across

0:31:46.640 --> 0:31:50.520
<v Speaker 14>five continents. So just continuing to ramp up our production

0:31:51.880 --> 0:31:53.560
<v Speaker 14>and the offerings that we can provide to the space

0:31:53.600 --> 0:31:55.560
<v Speaker 14>industry this year, Bridget.

0:31:55.600 --> 0:31:58.160
<v Speaker 2>As you know, Caroline and I are very thorough on

0:31:58.200 --> 0:32:01.800
<v Speaker 2>Bloomberg Tech. Just very quickly, the company did not disclose

0:32:01.840 --> 0:32:05.440
<v Speaker 2>its valuation. Is northward at Unicorn status yet? Is that

0:32:05.520 --> 0:32:07.000
<v Speaker 2>a milestone that you've achieved.

0:32:09.360 --> 0:32:11.880
<v Speaker 14>We will not disclose valuation at this point in time,

0:32:12.160 --> 0:32:13.320
<v Speaker 14>but we're very.

0:32:13.160 --> 0:32:14.360
<v Speaker 9>Happy with where we ended up.

0:32:15.120 --> 0:32:18.320
<v Speaker 3>Nice answer, Briship Lendler of Northwood.

0:32:18.480 --> 0:32:19.400
<v Speaker 4>We always have to ask.

0:32:19.600 --> 0:32:23.080
<v Speaker 3>We appreciate you coming back, Thank you very much, indeed, congrats. Meanwhile,

0:32:23.080 --> 0:32:26.560
<v Speaker 3>coming up the AI landscape, it shifts from general AI

0:32:27.040 --> 0:32:30.080
<v Speaker 3>to highly specialized intelligence systems. We're going to be discussing

0:32:30.080 --> 0:32:32.200
<v Speaker 3>that with constantin Ula, of course, a partner at Sekoia.

0:32:32.520 --> 0:32:33.520
<v Speaker 4>This is bluebg Tech.

0:32:38.080 --> 0:32:39.600
<v Speaker 3>This is Bloomberg Tech, and you are looking at a

0:32:39.640 --> 0:32:40.680
<v Speaker 3>live shot at the principal room.

0:32:40.760 --> 0:32:42.840
<v Speaker 4>Check out the Bloomberg Tech podcast. Find it on the

0:32:42.920 --> 0:32:44.240
<v Speaker 4>terminal as well as online.

0:32:44.000 --> 0:32:57.120
<v Speaker 3>On Apple, Spotify, and iHeart this is Bloomberg. Moonshot AI

0:32:57.320 --> 0:33:00.320
<v Speaker 3>has released an upgrade to its flagship model. I'm thing

0:33:00.440 --> 0:33:03.800
<v Speaker 3>up pressure in China's domestic AI race look. The company's

0:33:03.880 --> 0:33:06.239
<v Speaker 3>K two point five model is said to outperform its

0:33:06.320 --> 0:33:11.040
<v Speaker 3>open source peers and can process text, images, videos simultaneously.

0:33:10.480 --> 0:33:11.880
<v Speaker 4>From just a single prompt now.

0:33:11.920 --> 0:33:14.640
<v Speaker 3>The release comes ahead of deep Seak's next major update,

0:33:14.680 --> 0:33:17.920
<v Speaker 3>which has been teasing now four weeks ed.

0:33:18.040 --> 0:33:20.160
<v Speaker 2>What have you got. Let's stay on the topic of

0:33:20.200 --> 0:33:23.400
<v Speaker 2>AI and not just general purpose models, but the rise

0:33:23.440 --> 0:33:28.640
<v Speaker 2>of artificial specialized intelligence. Joining us now Constantine Buler partner

0:33:29.040 --> 0:33:31.720
<v Speaker 2>at Sequoia, and this is your bet for the year.

0:33:32.640 --> 0:33:35.920
<v Speaker 2>You think and where you will focus your investments going

0:33:35.960 --> 0:33:38.600
<v Speaker 2>forward is in the area of do we call it

0:33:38.680 --> 0:33:43.400
<v Speaker 2>asi specialized intelligence as a place to start, define that

0:33:43.680 --> 0:33:46.200
<v Speaker 2>what is the difference? Absolutely?

0:33:46.200 --> 0:33:48.920
<v Speaker 15>Ad Caroline, Thanks for having me twenty twenty six is

0:33:48.960 --> 0:33:52.320
<v Speaker 15>going to be the year all about AI capabilities in

0:33:52.440 --> 0:33:53.840
<v Speaker 15>specialized areas.

0:33:54.040 --> 0:33:55.480
<v Speaker 2>And we've got a taste of this.

0:33:55.360 --> 0:33:59.240
<v Speaker 15>In twenty twenty five in some pretty big important categories.

0:33:59.480 --> 0:34:00.640
<v Speaker 2>Think about self driving.

0:34:00.880 --> 0:34:03.960
<v Speaker 15>We now have waymos on the streets of San Francisco

0:34:04.280 --> 0:34:06.680
<v Speaker 15>and any other places and many other places, and those

0:34:06.680 --> 0:34:10.319
<v Speaker 15>are operating ten times safer than the average human driver,

0:34:10.480 --> 0:34:15.360
<v Speaker 15>ten times safer. Also, you see other specialized areas. Anthropic,

0:34:15.480 --> 0:34:18.640
<v Speaker 15>for example, focused on coding and in twenty twenty five

0:34:18.719 --> 0:34:22.239
<v Speaker 15>went mainstream with their cloud code product where developers can

0:34:22.320 --> 0:34:25.440
<v Speaker 15>choose to work with cloud code agents to prototype and

0:34:25.480 --> 0:34:28.600
<v Speaker 15>even put software into production much faster. We're going to

0:34:28.600 --> 0:34:30.239
<v Speaker 15>see a lot more of that in twenty twenty six.

0:34:30.520 --> 0:34:34.400
<v Speaker 15>It's going to be specialized capabilities in many new areas.

0:34:34.480 --> 0:34:36.160
<v Speaker 2>Now, how big are the checks? Then you're going to

0:34:36.200 --> 0:34:39.200
<v Speaker 2>have to write because what weimo Anthropy and even like

0:34:39.440 --> 0:34:42.440
<v Speaker 2>in the legal sector, like a Harvey having common is

0:34:42.520 --> 0:34:45.960
<v Speaker 2>that they are well capitalized at this point. They had

0:34:46.000 --> 0:34:49.960
<v Speaker 2>to commit a lot of capital to train those specialized

0:34:49.960 --> 0:34:53.319
<v Speaker 2>models in the first place and then deploy them absolutely well.

0:34:53.400 --> 0:34:56.120
<v Speaker 15>You mentioned to Harvey, I'm focused on the early stage

0:34:56.160 --> 0:34:59.880
<v Speaker 15>investing and in the case of Harvey, they started really small.

0:35:00.040 --> 0:35:03.200
<v Speaker 15>They basically focused on an area and they said, hey,

0:35:03.239 --> 0:35:05.080
<v Speaker 15>this is an area we're going to be deep experts in.

0:35:05.160 --> 0:35:08.000
<v Speaker 15>That's the legal area, and they focused on the actual

0:35:08.080 --> 0:35:12.000
<v Speaker 15>user obsession. They now have over one thousand customers for

0:35:12.160 --> 0:35:14.920
<v Speaker 15>the legal tech space, and they are kind of a

0:35:15.000 --> 0:35:17.680
<v Speaker 15>right hand person to the lawyer. In fact, one of

0:35:17.719 --> 0:35:20.880
<v Speaker 15>their customers said, I would sooner lose my coffee for

0:35:20.960 --> 0:35:23.600
<v Speaker 15>the year than my Harvey license. My sister's is a lawyer,

0:35:23.640 --> 0:35:26.080
<v Speaker 15>she uses Harvey. She'd probably say the same exact thing.

0:35:26.440 --> 0:35:27.960
<v Speaker 15>Twenty twenty six, We're going to look back at the

0:35:28.040 --> 0:35:31.000
<v Speaker 15>end of the year and realize how many areas in

0:35:31.080 --> 0:35:33.080
<v Speaker 15>AI we just couldn't live without.

0:35:33.239 --> 0:35:35.319
<v Speaker 4>Constantin Where is next?

0:35:35.360 --> 0:35:38.080
<v Speaker 3>Therefore, because you actually already have made these bets in

0:35:38.120 --> 0:35:41.400
<v Speaker 3>these very focused areas and applications of AI.

0:35:41.760 --> 0:35:43.880
<v Speaker 4>We just named Harvey, but you're.

0:35:43.680 --> 0:35:45.319
<v Speaker 3>Also in eleven labs if you're thinking about the way

0:35:45.360 --> 0:35:46.600
<v Speaker 3>in which we're going to interact with it from a

0:35:46.680 --> 0:35:51.279
<v Speaker 3>vocal perspective and create ourselves. But Where's next hasn't been

0:35:51.280 --> 0:35:53.520
<v Speaker 3>disrupted absolutely.

0:35:53.560 --> 0:35:56.000
<v Speaker 15>I'll give two tastes of what's coming next, one in

0:35:56.120 --> 0:35:58.760
<v Speaker 15>the physical world, and then one in the digital world.

0:35:59.800 --> 0:36:03.120
<v Speaker 15>In the physical world, were investors in a company called Vercata.

0:36:03.440 --> 0:36:09.400
<v Speaker 15>They are the leading AI physical security company and they're

0:36:09.440 --> 0:36:12.319
<v Speaker 15>basically an extension to those physical security guards who walk

0:36:12.320 --> 0:36:15.600
<v Speaker 15>around a premise and can now monitor an even larger

0:36:15.960 --> 0:36:21.600
<v Speaker 15>premis for physical security. They help investigations go thirty percent faster,

0:36:21.880 --> 0:36:25.839
<v Speaker 15>dramatically faster. And that sounds like a statistic, but let's make.

0:36:25.760 --> 0:36:26.400
<v Speaker 2>It very real.

0:36:26.600 --> 0:36:30.439
<v Speaker 15>They were working with a major airport that had a

0:36:30.480 --> 0:36:33.440
<v Speaker 15>bomb threat and they were able to help close that

0:36:33.560 --> 0:36:39.560
<v Speaker 15>investigation significantly faster, which means that the airplanes actually boarded, flights,

0:36:39.560 --> 0:36:42.120
<v Speaker 15>got out on time, and passengers got to their destination.

0:36:42.160 --> 0:36:44.000
<v Speaker 2>We're going to see a lot of that now.

0:36:44.040 --> 0:36:47.400
<v Speaker 15>In the digital world. We work with a company called Expo.

0:36:47.560 --> 0:36:51.040
<v Speaker 15>It's a AI penetration tester. They set out to get

0:36:51.040 --> 0:36:55.280
<v Speaker 15>really good at finding vulnerabilities in websites and applications. Within

0:36:55.400 --> 0:36:58.960
<v Speaker 15>six months, they became as good as a human penetration tester,

0:36:59.160 --> 0:37:03.720
<v Speaker 15>a profession at finding vulnerabilities. Within eighteen months, they've actually

0:37:03.800 --> 0:37:06.879
<v Speaker 15>become best in the world. They're top ranked on hacker one,

0:37:06.920 --> 0:37:09.920
<v Speaker 15>which is the global leader board for individual hackers, and

0:37:10.000 --> 0:37:14.360
<v Speaker 15>they're finding major vulnerabilities at companies, reporting those to the companies,

0:37:14.560 --> 0:37:16.520
<v Speaker 15>helping them patch them so that the bad guys don't

0:37:16.520 --> 0:37:18.960
<v Speaker 15>get there. We'll have a lot more capabilities like that

0:37:19.000 --> 0:37:19.879
<v Speaker 15>in twenty twenty six.

0:37:20.640 --> 0:37:24.160
<v Speaker 3>What's interesting is how therefore you're going to build and

0:37:24.239 --> 0:37:26.799
<v Speaker 3>scale at the pace that's necessary. If there's a lot

0:37:26.840 --> 0:37:29.719
<v Speaker 3>of capital looking for these more specialized areas, there are

0:37:29.760 --> 0:37:32.719
<v Speaker 3>people building in it, how do you talk to your

0:37:32.719 --> 0:37:34.520
<v Speaker 3>portfolio companies at this moment being like, you need to

0:37:34.520 --> 0:37:36.120
<v Speaker 3>get that edge, you need to lead the market at

0:37:36.120 --> 0:37:38.360
<v Speaker 3>this moment because there's an opportunity that's moving fast.

0:37:39.920 --> 0:37:41.400
<v Speaker 2>Absolutely right, Caroline.

0:37:41.719 --> 0:37:44.759
<v Speaker 15>And you know, we think about the word courage in

0:37:44.800 --> 0:37:46.840
<v Speaker 15>twenty twenty six. There's been so much focus on the

0:37:46.840 --> 0:37:50.920
<v Speaker 15>frontier four Open AI and Anthropic and Google and Xai.

0:37:51.160 --> 0:37:54.200
<v Speaker 15>They're doing amazing work, and it can be intimidating for

0:37:54.239 --> 0:37:56.080
<v Speaker 15>the early stage founder to say, you know what, I'm

0:37:56.080 --> 0:37:58.280
<v Speaker 15>going to go up and build an amazing big company

0:37:58.760 --> 0:38:01.640
<v Speaker 15>in the presence of these giants. But we encourage founders

0:38:01.640 --> 0:38:05.440
<v Speaker 15>to be courageous in twenty twenty six. They know areas deeply,

0:38:05.480 --> 0:38:09.080
<v Speaker 15>know those areas specialize in that delight your customers, and

0:38:09.120 --> 0:38:12.960
<v Speaker 15>there will be amazing opportunity. For example, in the healthcare space,

0:38:13.320 --> 0:38:16.240
<v Speaker 15>we work with a company called Open Evidence, which helps

0:38:16.320 --> 0:38:20.319
<v Speaker 15>physicians diagnose really complicated problems. In fact, my wife is

0:38:20.320 --> 0:38:23.160
<v Speaker 15>a surgeon. She uses Open Evidence to help diagnose problems.

0:38:23.360 --> 0:38:26.160
<v Speaker 15>She takes that extra time and puts it back into patients.

0:38:26.440 --> 0:38:28.319
<v Speaker 15>That was started by someone who said, you know what,

0:38:28.400 --> 0:38:30.960
<v Speaker 15>the healthcare area is so important that it's going to

0:38:31.000 --> 0:38:34.799
<v Speaker 15>need specialization, it's going to need these specific capabilities. And

0:38:34.840 --> 0:38:38.320
<v Speaker 15>they've been absolutely right. That type of courage will continue

0:38:38.360 --> 0:38:38.920
<v Speaker 15>to pay off.

0:38:38.960 --> 0:38:42.080
<v Speaker 2>In twenty twenty six, I started the week with my

0:38:42.200 --> 0:38:45.360
<v Speaker 2>column about how there's no point using the term seed

0:38:45.480 --> 0:38:48.120
<v Speaker 2>round anymore because some of them are in the hundreds

0:38:48.160 --> 0:38:50.680
<v Speaker 2>of millions of dollars right out the gate with a

0:38:50.719 --> 0:38:53.680
<v Speaker 2>team of a dozen people. That's the domain that you

0:38:53.800 --> 0:38:57.000
<v Speaker 2>oper eight in. But it particularly in the field of AI.

0:38:57.600 --> 0:38:59.959
<v Speaker 2>How much do you expect that trend to keep happen?

0:39:00.200 --> 0:39:02.719
<v Speaker 2>You know, you keep saying I invest early, but you

0:39:02.880 --> 0:39:05.080
<v Speaker 2>know that that actually you're not the only person that's

0:39:05.120 --> 0:39:08.799
<v Speaker 2>looking at ASI. And you know the whole point is

0:39:08.840 --> 0:39:12.800
<v Speaker 2>standing up sometimes a research lab from scratch.

0:39:14.040 --> 0:39:16.720
<v Speaker 15>I loved your article the coconut round, right the coconut

0:39:16.800 --> 0:39:19.719
<v Speaker 15>round or the avocado round or the mango seed round. Yeah, yeah,

0:39:19.760 --> 0:39:23.239
<v Speaker 15>these massive seeds. I'll say, how we think about it? Sure,

0:39:23.440 --> 0:39:25.640
<v Speaker 15>First and foremost, we don't think about the size of

0:39:25.640 --> 0:39:28.280
<v Speaker 15>the seed. We think about the quality of the company.

0:39:28.719 --> 0:39:30.799
<v Speaker 15>So we take a step back and we look at

0:39:30.800 --> 0:39:33.200
<v Speaker 15>an AI business, and first of all, we might say,

0:39:33.239 --> 0:39:35.319
<v Speaker 15>this is an AI business that does X, Y or Z,

0:39:35.880 --> 0:39:38.319
<v Speaker 15>and we'll cover the term AI. We'll put our finger

0:39:38.360 --> 0:39:40.120
<v Speaker 15>over the term AI and say does it still make

0:39:40.239 --> 0:39:42.359
<v Speaker 15>sense as a business even without AI?

0:39:42.800 --> 0:39:43.960
<v Speaker 2>That's test number one.

0:39:44.239 --> 0:39:46.799
<v Speaker 15>And secondly, if it does, then we say, is this

0:39:46.840 --> 0:39:49.160
<v Speaker 15>the kind of business that we want to spend years

0:39:49.320 --> 0:39:52.799
<v Speaker 15>really being company builders for? And once we go through

0:39:52.840 --> 0:39:56.239
<v Speaker 15>those phases, then we look at the financing dynamics and

0:39:56.280 --> 0:39:58.759
<v Speaker 15>the size of the round and we decide, hey, is

0:39:58.760 --> 0:40:00.560
<v Speaker 15>this something that we want to do with that scale.

0:40:00.960 --> 0:40:05.000
<v Speaker 15>I've consistently found that great founders are willing to pick

0:40:05.120 --> 0:40:09.040
<v Speaker 15>the best possible partners and shape rounds that are smart

0:40:09.040 --> 0:40:11.320
<v Speaker 15>for the business in the long term and then attract

0:40:11.360 --> 0:40:13.439
<v Speaker 15>more and more capital in the years to come. That's

0:40:13.440 --> 0:40:15.640
<v Speaker 15>how we've been approaching these sizable seat rounds.

0:40:16.080 --> 0:40:17.279
<v Speaker 4>Constantine come back.

0:40:17.360 --> 0:40:20.759
<v Speaker 3>We always of it Constantine, Buna of Sequoia appreciate it.

0:40:21.520 --> 0:40:23.839
<v Speaker 3>Now we turn our attention to France because the National

0:40:23.880 --> 0:40:27.480
<v Speaker 3>Assembly there has followed in the footsteps of Australia, passing

0:40:27.520 --> 0:40:30.120
<v Speaker 3>a bill last night to ban under fifteen year olds

0:40:30.160 --> 0:40:34.160
<v Speaker 3>from social media. Legislation now heads to France's Senate. The move,

0:40:34.200 --> 0:40:37.440
<v Speaker 3>of course, comes as Meta TikTok YouTube they head to

0:40:37.480 --> 0:40:41.080
<v Speaker 3>court in the United States over allegations that they misled

0:40:41.120 --> 0:40:44.480
<v Speaker 3>the public about the safety of their apps, accusations the

0:40:44.520 --> 0:40:45.480
<v Speaker 3>companies have rejected.

0:40:45.960 --> 0:40:52.000
<v Speaker 2>Ed coming up, there is no one quite like Jensen Wang.

0:40:52.360 --> 0:40:56.439
<v Speaker 2>What does that mean for succession planning at Nvidia. We'll

0:40:56.440 --> 0:41:06.440
<v Speaker 2>have that discussion next. This is Bloomberg Tech. When you

0:41:06.480 --> 0:41:09.160
<v Speaker 2>see the future of AI is resting on the shoulders

0:41:09.280 --> 0:41:12.040
<v Speaker 2>of Nvidia, But the future of the chip maker after

0:41:12.080 --> 0:41:16.160
<v Speaker 2>its current CEO and co founder Jensen Wong departs one day, well,

0:41:16.200 --> 0:41:20.719
<v Speaker 2>that's unclear. Bloomberg's semiconductor reporter in King has written a

0:41:20.719 --> 0:41:23.520
<v Speaker 2>pretty wonderful piece. I mean, Jensen Wong has been at

0:41:23.520 --> 0:41:26.840
<v Speaker 2>the helm of Nvidia for more than three decades. He

0:41:27.040 --> 0:41:29.759
<v Speaker 2>is the longest seven Silicon Valley CEO. There is no

0:41:29.920 --> 0:41:32.920
<v Speaker 2>suggestion that he's wants to pack it in. But what

0:41:32.960 --> 0:41:35.080
<v Speaker 2>you're writing about is nor is there any evidence that

0:41:35.160 --> 0:41:38.640
<v Speaker 2>Nvidia has really done anything in succession either. Yeah.

0:41:38.680 --> 0:41:42.280
<v Speaker 16>I mean, you know, with a company that's become as important,

0:41:42.280 --> 0:41:45.200
<v Speaker 16>it has to a whole industry and arguably the stock

0:41:45.239 --> 0:41:48.040
<v Speaker 16>market and the economy as well. Usually like to have

0:41:48.280 --> 0:41:50.600
<v Speaker 16>a better idea of who the people at the top are,

0:41:51.040 --> 0:41:53.960
<v Speaker 16>and even people like myself who've been looking at this

0:41:54.000 --> 0:41:57.239
<v Speaker 16>company for a very long time, it's him, right. The

0:41:57.320 --> 0:41:59.719
<v Speaker 16>whole company is built around him, and that's all there

0:41:59.760 --> 0:42:00.120
<v Speaker 16>is to it.

0:42:00.400 --> 0:42:02.399
<v Speaker 3>And what's really interesting is you interview people who talk

0:42:02.400 --> 0:42:05.440
<v Speaker 3>about how flat the organization is and alsomate how difficult

0:42:05.480 --> 0:42:06.920
<v Speaker 3>would be to run by.

0:42:06.760 --> 0:42:08.200
<v Speaker 4>Anyone else than Chansten.

0:42:08.320 --> 0:42:10.840
<v Speaker 3>One can he talks to who the other well key

0:42:11.480 --> 0:42:14.319
<v Speaker 3>presidents are, but perhaps and not in line to.

0:42:14.280 --> 0:42:15.600
<v Speaker 4>Take the throne.

0:42:15.880 --> 0:42:18.399
<v Speaker 16>Yeah, I mean, you know, the way to do this

0:42:18.560 --> 0:42:21.879
<v Speaker 16>is to think about things through Jensen's eyes, because he's

0:42:22.000 --> 0:42:25.760
<v Speaker 16>explicit about this. He created an organization where he wants

0:42:25.840 --> 0:42:28.400
<v Speaker 16>to know where he believes the CEO needs to know

0:42:28.440 --> 0:42:30.520
<v Speaker 16>what's going on, and the way to do that is

0:42:30.600 --> 0:42:33.719
<v Speaker 16>to have less of the traditional corporate structure and just

0:42:34.120 --> 0:42:37.520
<v Speaker 16>a large group forty to fifty sixty depends on the

0:42:37.600 --> 0:42:39.600
<v Speaker 16>day as to the number he gives you. Of people

0:42:39.640 --> 0:42:43.760
<v Speaker 16>who don't directly report to him, they have responsibilities.

0:42:42.880 --> 0:42:46.200
<v Speaker 2>But we've spoken to Jensen quite a lot in the

0:42:46.280 --> 0:42:49.760
<v Speaker 2>last few years. There are other people though, like collect Cress.

0:42:49.760 --> 0:42:53.480
<v Speaker 2>The CFO is a highly capable person. But as you

0:42:53.600 --> 0:42:56.640
<v Speaker 2>write in Silicon Valley and Tech, you don't usually hire

0:42:56.640 --> 0:42:58.800
<v Speaker 2>the CEO from the finance department.

0:42:58.719 --> 0:43:01.600
<v Speaker 16>Correct, I mean, you know, has a good reputation on

0:43:01.640 --> 0:43:05.000
<v Speaker 16>Wall Street. She was brought in and she's obviously presided

0:43:05.000 --> 0:43:07.600
<v Speaker 16>over the company when it's been enormously successful. But this

0:43:07.680 --> 0:43:10.400
<v Speaker 16>is a very technical job, and it's also a very

0:43:10.480 --> 0:43:13.680
<v Speaker 16>dynamic job. He's on the one hand a science leader,

0:43:13.719 --> 0:43:16.040
<v Speaker 16>and he's on the other hand an advocate and driving

0:43:16.080 --> 0:43:17.600
<v Speaker 16>the whole industry forward.

0:43:18.000 --> 0:43:19.480
<v Speaker 4>And spends a lot of time on planes.

0:43:19.480 --> 0:43:21.360
<v Speaker 3>It feels like at the age of sixty three, Bloomberg

0:43:21.400 --> 0:43:24.720
<v Speaker 3>zin king, thank you very much, I urge of yours

0:43:24.800 --> 0:43:26.920
<v Speaker 3>to go read that Deep Dive. It's a great piece

0:43:27.040 --> 0:43:30.240
<v Speaker 3>and video's lack clear successor for superstar CEO.

0:43:30.480 --> 0:43:33.280
<v Speaker 4>That does it though for this edition a Bloomberg techech.

0:43:34.000 --> 0:43:36.200
<v Speaker 2>Yeah, there's a lot happening in public markets and in

0:43:36.320 --> 0:43:39.760
<v Speaker 2>private markets, but we are bracing for big tech earnings

0:43:39.880 --> 0:43:42.720
<v Speaker 2>in earnest check out the pods so much to recap

0:43:42.920 --> 0:43:46.160
<v Speaker 2>you know where to find it on iHeart, Spotify, Apple,

0:43:46.320 --> 0:43:48.319
<v Speaker 2>and of course in all the Bloomberg platforms as well.

0:43:48.680 --> 0:43:51.319
<v Speaker 2>Two days into an astonishingly busy week in the world

0:43:51.400 --> 0:43:53.560
<v Speaker 2>of technology. This is Bloomberg Tech