WEBVTT - Netflix and Tesla Give Warnings

0:00:01.440 --> 0:00:05.080
<v Speaker 1>From my Heart where innovation, money and power Collie in

0:00:05.200 --> 0:00:10.080
<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hide

0:00:10.160 --> 0:00:11.559
<v Speaker 1>and Ed Ludlove.

0:00:24.520 --> 0:00:26.680
<v Speaker 2>And Caroline Heinda Blomberg's weldad quarters in New York and

0:00:26.760 --> 0:00:30.280
<v Speaker 2>Ludlow who's off. This is Bloomberg Technology coming up full

0:00:30.520 --> 0:00:31.840
<v Speaker 2>earnings coverage ahead.

0:00:31.880 --> 0:00:33.400
<v Speaker 3>Netflix sept for its worst day.

0:00:33.320 --> 0:00:36.479
<v Speaker 2>Of the year, that says its outlook full short of estimates.

0:00:36.640 --> 0:00:39.479
<v Speaker 2>Will break down the results. Plus, let's look at Tesla's

0:00:39.520 --> 0:00:41.879
<v Speaker 2>results as Elon Musk warns and more blows to the

0:00:41.880 --> 0:00:46.960
<v Speaker 2>company's profitability, and Chip Giant TSMC drops as it warns

0:00:47.000 --> 0:00:50.040
<v Speaker 2>the AI frenzy may not last. We'll have that and

0:00:50.200 --> 0:00:53.400
<v Speaker 2>so much more ahead. First, let's get you up to

0:00:53.440 --> 0:00:55.600
<v Speaker 2>speed with a lackluster day in the markets.

0:00:55.640 --> 0:00:57.480
<v Speaker 3>We send it over to Blomberg's affaguilty a little.

0:00:57.640 --> 0:00:59.880
<v Speaker 4>It is a little lackluster, Caroline. In fact, it feels

0:00:59.880 --> 0:01:02.920
<v Speaker 4>like the first worst down day in many days for

0:01:03.120 --> 0:01:05.240
<v Speaker 4>the major indexes here in the US, because we've had

0:01:05.240 --> 0:01:07.400
<v Speaker 4>this melt up. But some of the big tech reporters

0:01:07.400 --> 0:01:09.319
<v Speaker 4>reports while putting a bit of a wrinkle in that

0:01:09.480 --> 0:01:12.520
<v Speaker 4>right now we have Tesla down six point four to

0:01:12.600 --> 0:01:17.240
<v Speaker 4>two percent of course on its report. That's where profitability

0:01:17.280 --> 0:01:19.720
<v Speaker 4>is an issue. Elon Musk even talking about the idea

0:01:19.760 --> 0:01:21.760
<v Speaker 4>that if rates continue to rise, they will have to

0:01:21.760 --> 0:01:24.679
<v Speaker 4>bring prices down that could weigh on profitability more so.

0:01:24.959 --> 0:01:26.720
<v Speaker 4>And then the fears around some of the other big

0:01:26.760 --> 0:01:29.440
<v Speaker 4>tech companies that have not yet reported, Meta, Alphabet and

0:01:30.160 --> 0:01:33.840
<v Speaker 4>Apple all lower ahead of those reports. This idea that

0:01:33.880 --> 0:01:36.600
<v Speaker 4>we were talking about yesterday. So much movement to the upside,

0:01:36.680 --> 0:01:38.840
<v Speaker 4>but will these reports deliver? Now if we flip up

0:01:38.840 --> 0:01:41.080
<v Speaker 4>the boards, we are going to see that what this

0:01:41.200 --> 0:01:44.400
<v Speaker 4>means for the s and P five hundred and the

0:01:44.520 --> 0:01:47.320
<v Speaker 4>NASAC well, we are looking at a down day, of course,

0:01:47.360 --> 0:01:49.840
<v Speaker 4>and the nicy Fang Index down even more, down three

0:01:49.880 --> 0:01:52.920
<v Speaker 4>point two percent. The socks not immune from this. We

0:01:52.960 --> 0:01:54.880
<v Speaker 4>have been video down quite a bit. We also have

0:01:54.960 --> 0:01:57.360
<v Speaker 4>AMD down. And then finally, if we take a look

0:01:57.360 --> 0:02:00.000
<v Speaker 4>at the other big earnings a lagger that is Netflix,

0:02:00.040 --> 0:02:01.559
<v Speaker 4>So I think we have a chart of that here.

0:02:01.760 --> 0:02:04.160
<v Speaker 4>We're going to see, Wow, gosh, the worst day I

0:02:04.280 --> 0:02:07.680
<v Speaker 4>believe since April twenty twenty two. And Caroline, there's this

0:02:07.800 --> 0:02:09.800
<v Speaker 4>continued puzzle. I'm sure you're going to solve it on

0:02:09.840 --> 0:02:13.360
<v Speaker 4>this show. In the next hour. But record blowout subscribers. Well,

0:02:13.360 --> 0:02:15.760
<v Speaker 4>I don't know if a record, but blowout subscribers. But

0:02:15.800 --> 0:02:18.120
<v Speaker 4>where's the revenue And they're talking about still keeping that

0:02:18.120 --> 0:02:19.880
<v Speaker 4>double digit for the end of the year.

0:02:20.400 --> 0:02:22.000
<v Speaker 3>Putting a lot of pressure on the fourth quarter.

0:02:22.080 --> 0:02:24.760
<v Speaker 2>Quite frankly, Yeah, Bank of America looking optimistic towards that

0:02:24.800 --> 0:02:27.120
<v Speaker 2>second half, but as you say, for now, the revenue

0:02:27.120 --> 0:02:30.720
<v Speaker 2>not quite following that uptick in subscriptions. Let's go back

0:02:30.720 --> 0:02:33.519
<v Speaker 2>to Tesla for a moment, because it is falling hard too,

0:02:33.639 --> 0:02:36.640
<v Speaker 2>warning of more hits to its already shrinking profitability. CEO

0:02:36.680 --> 0:02:39.040
<v Speaker 2>Elon Musk said the company will have to keep lowering

0:02:39.040 --> 0:02:42.760
<v Speaker 2>the prices of its evs is interest rates continues to rise.

0:02:44.639 --> 0:02:46.640
<v Speaker 5>I think it makes it does make sense to sacrifice

0:02:46.720 --> 0:02:50.799
<v Speaker 5>margins in favor of making more vehicles because we think

0:02:50.880 --> 0:02:52.840
<v Speaker 5>in the not to do in the future they will

0:02:52.880 --> 0:02:57.680
<v Speaker 5>have a chromatic valuation increase. I think the Tesla fleet

0:02:57.960 --> 0:02:59.880
<v Speaker 5>value increase of the point which we can upload full

0:03:00.080 --> 0:03:02.799
<v Speaker 5>of you know, full self driving, had it's approved by regulators,

0:03:04.560 --> 0:03:08.760
<v Speaker 5>will be the single biggest step change in asset value

0:03:08.840 --> 0:03:09.639
<v Speaker 5>maybe in history.

0:03:10.400 --> 0:03:13.040
<v Speaker 2>He's got more analysis than mention. Akaine as an Austin

0:03:13.120 --> 0:03:15.799
<v Speaker 2>In Shawn, I don't really understand why the market's so

0:03:15.880 --> 0:03:19.000
<v Speaker 2>surprised by this. These price cuts, This focus on volume

0:03:19.080 --> 0:03:20.400
<v Speaker 2>over profitability has been.

0:03:20.280 --> 0:03:22.600
<v Speaker 3>A theme all year, But were they're hoping for some

0:03:22.760 --> 0:03:23.440
<v Speaker 3>sort of change.

0:03:25.800 --> 0:03:27.520
<v Speaker 6>I think, you know, if you look at the cuts

0:03:27.600 --> 0:03:30.160
<v Speaker 6>that they've made and the subsequent adjustments, there have been

0:03:30.160 --> 0:03:32.320
<v Speaker 6>a couple of little price pumps over the last month

0:03:32.400 --> 0:03:35.480
<v Speaker 6>or so, they have flattened out a bit, certainly not

0:03:35.560 --> 0:03:37.480
<v Speaker 6>as volatile as they were in the first quarter. So

0:03:37.560 --> 0:03:40.240
<v Speaker 6>I think maybe we have some investors who were expecting

0:03:40.320 --> 0:03:42.960
<v Speaker 6>that to be completely closed, and especially given the fact

0:03:42.960 --> 0:03:45.080
<v Speaker 6>that there was a chance maybe we were done with

0:03:45.200 --> 0:03:48.160
<v Speaker 6>interest rates hikes, people were thinking that maybe this was

0:03:48.200 --> 0:03:51.760
<v Speaker 6>all over. But obviously Elon Musk says that if interest

0:03:51.840 --> 0:03:53.800
<v Speaker 6>rates keep going up, they're willing to cut. I mean,

0:03:53.920 --> 0:03:56.080
<v Speaker 6>he said last quarter, and he sort of reiterated it.

0:03:56.080 --> 0:03:56.600
<v Speaker 1>In that clip.

0:03:57.000 --> 0:03:59.520
<v Speaker 6>He's willing to cut even deeper to the bone because

0:03:59.560 --> 0:04:02.480
<v Speaker 6>he believed so much in the ability to deliver full

0:04:02.560 --> 0:04:05.960
<v Speaker 6>autonomy and what that would do to Tesla's margins. You know,

0:04:06.080 --> 0:04:08.720
<v Speaker 6>he's so bought into that idea that he really kind

0:04:08.760 --> 0:04:11.280
<v Speaker 6>of doesn't care about the margins, right now, so I

0:04:11.360 --> 0:04:14.120
<v Speaker 6>think it's part that and also part Remember they've added

0:04:14.160 --> 0:04:16.680
<v Speaker 6>like five hundred billion dollars to their market cap this year.

0:04:17.040 --> 0:04:19.080
<v Speaker 6>They've had a pretty big rise over the last couple

0:04:19.120 --> 0:04:20.920
<v Speaker 6>of weeks and months, and so you know, maybe this

0:04:21.080 --> 0:04:22.760
<v Speaker 6>is just some resetting of expectations.

0:04:22.839 --> 0:04:24.559
<v Speaker 3>I mean, good context there, Sean.

0:04:24.600 --> 0:04:27.600
<v Speaker 2>What's interesting about this focus on autonomous driving is the

0:04:27.680 --> 0:04:30.840
<v Speaker 2>need for compute right now, and of course a supercomputer

0:04:31.040 --> 0:04:33.800
<v Speaker 2>Dojo takes limelight a billion in.

0:04:33.880 --> 0:04:35.479
<v Speaker 3>Terms of investment in that area.

0:04:35.800 --> 0:04:38.480
<v Speaker 2>That seemed to surprise people, even though the CFO tried

0:04:38.560 --> 0:04:39.400
<v Speaker 2>to calm some nerves.

0:04:40.720 --> 0:04:42.440
<v Speaker 6>Yeah, yeah, there was a funny moment. It was probably

0:04:42.440 --> 0:04:45.200
<v Speaker 6>one of the more maybe lively moments of the call,

0:04:45.440 --> 0:04:48.760
<v Speaker 6>which was otherwise pretty straightforward. You know, Elon coming out

0:04:48.760 --> 0:04:52.040
<v Speaker 6>and saying basically about exactly how much or at least

0:04:52.080 --> 0:04:53.560
<v Speaker 6>in the ballpark of what they want to spend on

0:04:53.640 --> 0:04:57.040
<v Speaker 6>a super coupeter over the next year. And you know,

0:04:57.120 --> 0:04:59.839
<v Speaker 6>something important to remember, this is a specific use case

0:05:00.120 --> 0:05:03.280
<v Speaker 6>type of supercomputer in the sense that he's not using

0:05:03.320 --> 0:05:05.320
<v Speaker 6>it to try to be something that they could throw

0:05:05.440 --> 0:05:08.479
<v Speaker 6>at his AI effort. But he just announced last week

0:05:08.520 --> 0:05:10.320
<v Speaker 6>and do large language models on this. He says, this

0:05:10.480 --> 0:05:13.720
<v Speaker 6>is very tailored to processing video and images. It's something

0:05:13.760 --> 0:05:17.360
<v Speaker 6>that is specifically made to help improve the driving software

0:05:17.760 --> 0:05:20.560
<v Speaker 6>Antesla's cars. And so now we finally had a ballpark.

0:05:20.600 --> 0:05:23.200
<v Speaker 6>And yeah, immediately after we got this sort of lawyered

0:05:23.200 --> 0:05:25.040
<v Speaker 6>dep response from the CFO, who said, hey, you know,

0:05:25.360 --> 0:05:27.239
<v Speaker 6>that sounds like a lot of money. But we baked

0:05:27.279 --> 0:05:29.080
<v Speaker 6>this into the guidance that we've been giving you guys,

0:05:29.240 --> 0:05:30.840
<v Speaker 6>so you may have a little bit more clarity on

0:05:30.960 --> 0:05:33.719
<v Speaker 6>exactly how we're spending some of that. But don't get spooked.

0:05:33.760 --> 0:05:35.200
<v Speaker 6>This isn't some sort of new expense.

0:05:36.160 --> 0:05:40.599
<v Speaker 2>Nevertheless, expenses racking up, well, perhaps the profitability that margin

0:05:40.720 --> 0:05:43.719
<v Speaker 2>under pressure at just eighteen point one percent, seawann O Caine.

0:05:43.880 --> 0:05:46.320
<v Speaker 2>Great to get your analysis. We thank you, and let's

0:05:46.360 --> 0:05:48.040
<v Speaker 2>got to invest to Tate now a peace to Welcome

0:05:48.040 --> 0:05:51.400
<v Speaker 2>to the show. Sylvia Jabronski defines ets CEO CIO overseeing

0:05:51.440 --> 0:05:53.520
<v Speaker 2>nine hundred million dollars an assets onder management of course

0:05:53.520 --> 0:05:56.480
<v Speaker 2>Tesla when your key holdings and your pure electric vehicle

0:05:56.560 --> 0:06:00.640
<v Speaker 2>ETF and Sylvia, were you upended by this still focus

0:06:00.720 --> 0:06:04.280
<v Speaker 2>on volume of a profit or had you anticipated so?

0:06:04.480 --> 0:06:07.840
<v Speaker 7>I anticipated that you know, the earnings announcement and call

0:06:08.000 --> 0:06:09.600
<v Speaker 7>was sort of go like this. There was so much

0:06:09.640 --> 0:06:11.920
<v Speaker 7>focus on what will profit margins look like when you

0:06:12.000 --> 0:06:14.440
<v Speaker 7>take out kind of the tax credits and you know,

0:06:14.640 --> 0:06:17.400
<v Speaker 7>different types of incentives coupled with the lowering of prices,

0:06:17.480 --> 0:06:19.800
<v Speaker 7>and you know, the street didn't like it, but I

0:06:19.839 --> 0:06:21.920
<v Speaker 7>actually thought it was a great call, and I would

0:06:21.920 --> 0:06:24.799
<v Speaker 7>have said that there's actually calls for the stock to rally.

0:06:24.960 --> 0:06:27.720
<v Speaker 7>You know, what Elona Musk is doing is continuing to

0:06:27.800 --> 0:06:31.600
<v Speaker 7>corner the EV market by making EV vehicles accessible. You know,

0:06:31.640 --> 0:06:34.560
<v Speaker 7>there is a volume game here, so while you're sacrificing

0:06:34.640 --> 0:06:37.440
<v Speaker 7>some margin in the near term, you're increasing you know,

0:06:37.600 --> 0:06:40.920
<v Speaker 7>capacity to produce more vehicles, interest in purchasing vehicles because

0:06:40.920 --> 0:06:44.200
<v Speaker 7>they're affordable and really you know, taking that stake while

0:06:44.200 --> 0:06:45.760
<v Speaker 7>everybody else is trying to catch up.

0:06:45.920 --> 0:06:48.800
<v Speaker 1>I also think that you know, he has enough of

0:06:49.120 --> 0:06:52.360
<v Speaker 1>kind of you know, shots to fire here.

0:06:52.480 --> 0:06:55.320
<v Speaker 7>He has the cyber talk coming out, and that's arguably

0:06:55.400 --> 0:06:57.920
<v Speaker 7>going to be an expensive type of vehicle that people

0:06:57.960 --> 0:07:00.400
<v Speaker 7>seem to be you know, really seeking and waiting for.

0:07:01.080 --> 0:07:02.960
<v Speaker 7>And you know, so when you have days like this,

0:07:03.120 --> 0:07:06.640
<v Speaker 7>when when a stock like Tesla kind of falls precipitously

0:07:06.720 --> 0:07:08.880
<v Speaker 7>in one day from you know, what looks like bad

0:07:08.960 --> 0:07:10.720
<v Speaker 7>news but is actually really good news.

0:07:10.560 --> 0:07:12.440
<v Speaker 1>And then you know the other EV makers fall in

0:07:12.520 --> 0:07:12.920
<v Speaker 1>line with it.

0:07:13.000 --> 0:07:15.200
<v Speaker 7>I mean, this in my mind is a great kind

0:07:15.200 --> 0:07:17.960
<v Speaker 7>of dollar cost averaging day on you know, the top

0:07:18.040 --> 0:07:18.680
<v Speaker 7>EV stocks.

0:07:18.920 --> 0:07:22.920
<v Speaker 2>Okay, so buying in on the weakness even though it's

0:07:22.960 --> 0:07:27.200
<v Speaker 2>still priced what eighty times forward earnings?

0:07:27.440 --> 0:07:29.080
<v Speaker 3>How do you vindicate that valuation?

0:07:29.240 --> 0:07:32.200
<v Speaker 2>Are you the person who's also in this idea of

0:07:32.280 --> 0:07:35.840
<v Speaker 2>a ROBOTAXI the idea that ultimately there's a big bump

0:07:36.200 --> 0:07:36.800
<v Speaker 2>in valuation.

0:07:37.840 --> 0:07:39.240
<v Speaker 1>I am, and you have to be right. You have

0:07:39.320 --> 0:07:41.040
<v Speaker 1>to be if you're buying the stock at those valuations.

0:07:41.080 --> 0:07:41.800
<v Speaker 1>It's a fair point.

0:07:41.840 --> 0:07:43.720
<v Speaker 7>But there is a whole lot of evidence that, you know,

0:07:43.880 --> 0:07:46.040
<v Speaker 7>the R and D is moving there in the right direction.

0:07:46.160 --> 0:07:48.720
<v Speaker 7>Of course, you know investors want everything to happen more

0:07:48.840 --> 0:07:49.840
<v Speaker 7>quickly than it usually does.

0:07:49.960 --> 0:07:51.760
<v Speaker 1>But this is very much a growth stock. You know,

0:07:51.840 --> 0:07:54.640
<v Speaker 1>they're they're working on things that do not yet exist,

0:07:54.720 --> 0:07:56.560
<v Speaker 1>and this is what you want when you invest.

0:07:56.280 --> 0:07:59.480
<v Speaker 7>In innovation, the future of EV. So there's a few things.

0:07:59.520 --> 0:08:02.760
<v Speaker 7>One TV market was fourteen percent of sales globally. That's

0:08:02.800 --> 0:08:05.440
<v Speaker 7>projected to be thirty percent by twenty six percent. We

0:08:05.560 --> 0:08:07.800
<v Speaker 7>know that Tesla has you know, sixty percent of the market.

0:08:07.880 --> 0:08:10.480
<v Speaker 7>Now that shrinks, but they get more orders, more volume,

0:08:10.520 --> 0:08:12.760
<v Speaker 7>so I think they continue to kind of benefit there.

0:08:12.960 --> 0:08:15.320
<v Speaker 7>Number two is the new you know vehicle, the cyber truck.

0:08:15.400 --> 0:08:18.800
<v Speaker 7>Number three is you know that you mentioned the dojo before,

0:08:19.080 --> 0:08:22.480
<v Speaker 7>the potential for AI their their self you know, kind

0:08:22.520 --> 0:08:26.680
<v Speaker 7>of driving database, data center computer. The technology looks like

0:08:26.720 --> 0:08:28.360
<v Speaker 7>it's kind of being set up to support them. And

0:08:28.600 --> 0:08:30.680
<v Speaker 7>I think the robotaxi thing, if anyone is going to

0:08:30.680 --> 0:08:33.079
<v Speaker 7>get it done, it will be Tesla, and I you know,

0:08:33.280 --> 0:08:34.880
<v Speaker 7>we have no reasonably that he's not going to get

0:08:34.880 --> 0:08:35.160
<v Speaker 7>it done.

0:08:35.760 --> 0:08:39.240
<v Speaker 3>Sylvia, what about the global nature of this company?

0:08:39.360 --> 0:08:41.559
<v Speaker 2>Of course they're talking about perhaps having to slow down

0:08:41.600 --> 0:08:43.960
<v Speaker 2>on some of the factory output as they update them.

0:08:44.000 --> 0:08:46.840
<v Speaker 2>Of Course they've got exposure in Berlin here in the US,

0:08:46.960 --> 0:08:50.760
<v Speaker 2>but also China, and I noted that byd Lee Auto

0:08:50.840 --> 0:08:55.120
<v Speaker 2>Ready managing to ramp up their own deliveries at the moment.

0:08:55.200 --> 0:08:56.560
<v Speaker 2>What's competition like globally?

0:08:57.679 --> 0:08:59.760
<v Speaker 7>Yeah, and I think that you know, when you're in

0:08:59.800 --> 0:09:01.600
<v Speaker 7>bad staying in the EV space. This sort of makes

0:09:01.640 --> 0:09:03.640
<v Speaker 7>the argument for having a basket of all of these

0:09:03.720 --> 0:09:05.520
<v Speaker 7>names right, because you want the test, you want Tesla,

0:09:05.559 --> 0:09:07.760
<v Speaker 7>and then you also want who is the Tesla of China?

0:09:07.840 --> 0:09:07.920
<v Speaker 1>Right?

0:09:08.040 --> 0:09:09.720
<v Speaker 7>Is that Xkig, is that Li Auto? And it's good

0:09:09.760 --> 0:09:12.920
<v Speaker 7>to kind of have that broad based diversification. I think

0:09:12.960 --> 0:09:15.120
<v Speaker 7>the answer is that these are all going to be winners.

0:09:15.160 --> 0:09:15.280
<v Speaker 8>You know.

0:09:15.400 --> 0:09:19.480
<v Speaker 1>The piece of the entire pie of EV again is

0:09:19.559 --> 0:09:20.200
<v Speaker 1>growing globally.

0:09:20.320 --> 0:09:22.800
<v Speaker 7>Right, we talked about that fourteen percent going to thirty percent,

0:09:22.920 --> 0:09:25.600
<v Speaker 7>So massive upside for anyone who sort of gets it right.

0:09:25.640 --> 0:09:26.520
<v Speaker 1>In terms of Tesla.

0:09:26.920 --> 0:09:29.000
<v Speaker 7>The fact that they're talking about building a factory that's

0:09:29.120 --> 0:09:32.760
<v Speaker 7>larger than Volkswagen and BMW in you know, Germany, the

0:09:32.840 --> 0:09:35.360
<v Speaker 7>home of German autos, which is like you know, I mean,

0:09:35.559 --> 0:09:38.160
<v Speaker 7>the Michigan of Europe is just mind boggling to me.

0:09:38.320 --> 0:09:41.000
<v Speaker 7>So that tells you that the demand will continue there

0:09:41.040 --> 0:09:42.920
<v Speaker 7>and the opportunity for car sales continues there.

0:09:42.960 --> 0:09:44.520
<v Speaker 1>There's some amazing stats out there.

0:09:44.640 --> 0:09:47.200
<v Speaker 7>If you look at EV sales last year in China,

0:09:47.280 --> 0:09:49.720
<v Speaker 7>fifty percent of evs sold or fifty percent of car

0:09:49.840 --> 0:09:52.720
<v Speaker 7>sold were EV's and the Nordics, though it was eighty

0:09:52.840 --> 0:09:55.640
<v Speaker 7>nine percent of all vehicles sold and Europe that numbers

0:09:55.679 --> 0:09:59.760
<v Speaker 7>closer For sixty percent, So you know, he's following the

0:10:00.160 --> 0:10:00.839
<v Speaker 7>of interest.

0:10:00.640 --> 0:10:04.240
<v Speaker 3>There at a time where macro headwinds also there.

0:10:04.440 --> 0:10:06.080
<v Speaker 2>Just that's ran out of this conversation a little bit

0:10:06.160 --> 0:10:09.079
<v Speaker 2>with where you know, Musk started to focus on interest

0:10:09.160 --> 0:10:11.520
<v Speaker 2>rates still rising and the impact on the consumer.

0:10:11.600 --> 0:10:14.320
<v Speaker 3>How are you feeling about the macro picture right now?

0:10:15.320 --> 0:10:17.760
<v Speaker 1>Yeah, I'm actually a little more bullish on the macro picture.

0:10:17.960 --> 0:10:20.480
<v Speaker 7>And you know, we've talked Caroline before about some of

0:10:20.520 --> 0:10:22.520
<v Speaker 7>my stock picks that were getting crush last year in

0:10:22.559 --> 0:10:24.720
<v Speaker 7>twenty twenty two with interest rates rising.

0:10:24.600 --> 0:10:26.680
<v Speaker 1>On the tech space, and I think that that's playing

0:10:26.720 --> 0:10:27.000
<v Speaker 1>out now.

0:10:27.040 --> 0:10:28.599
<v Speaker 7>You know, there was a bear market last year and

0:10:28.679 --> 0:10:31.199
<v Speaker 7>tech interest rates were rising, and now we're coming to

0:10:31.280 --> 0:10:32.840
<v Speaker 7>the end of that. So I am in the camp

0:10:32.920 --> 0:10:35.520
<v Speaker 7>of if we get another hiker two, okay, it's it's

0:10:35.760 --> 0:10:38.800
<v Speaker 7>sort of manage what we're already there. I think that,

0:10:39.120 --> 0:10:42.400
<v Speaker 7>you know, the economy has withstood a major recession. Perhaps

0:10:42.400 --> 0:10:44.520
<v Speaker 7>you get a soft landing, but in terms of rates

0:10:44.559 --> 0:10:47.400
<v Speaker 7>specifically towards ev or other goods and services, you know,

0:10:47.480 --> 0:10:50.480
<v Speaker 7>I don't see prices necessarily kind of coming down, but

0:10:50.600 --> 0:10:54.319
<v Speaker 7>inflation is coming down. Prices will probably stabilize and it

0:10:54.440 --> 0:10:57.440
<v Speaker 7>will become you know, kind of easier to borrow money

0:10:57.480 --> 0:11:00.280
<v Speaker 7>to produce more vehicles, to you know, to take on

0:11:00.440 --> 0:11:02.240
<v Speaker 7>debt for innovation for growth companies.

0:11:02.320 --> 0:11:05.320
<v Speaker 1>So I think we'd have you know, some arrange bound volatility.

0:11:05.360 --> 0:11:07.559
<v Speaker 7>It will be kind of a slower year into the

0:11:07.679 --> 0:11:10.760
<v Speaker 7>year end, but if earnings hold up, then I think

0:11:10.840 --> 0:11:12.360
<v Speaker 7>the rally continues.

0:11:12.760 --> 0:11:15.240
<v Speaker 2>A little bit of dissinflation visa v deflation right now,

0:11:15.320 --> 0:11:18.320
<v Speaker 2>Sylvia Jablonsky, really great to have your take across Macro,

0:11:18.480 --> 0:11:20.920
<v Speaker 2>and of course so Micro and Tesla CEO and CIO

0:11:21.360 --> 0:11:22.600
<v Speaker 2>of Defiance ETF.

0:11:31.960 --> 0:11:33.880
<v Speaker 9>Only a small percentage of our members are on the

0:11:33.920 --> 0:11:36.280
<v Speaker 9>ads to here, even with the moves we just mentioned.

0:11:36.400 --> 0:11:38.360
<v Speaker 9>Nice growth in the ads to here, but still off

0:11:38.400 --> 0:11:41.640
<v Speaker 9>a small base, and we're really early in terms of

0:11:41.720 --> 0:11:45.000
<v Speaker 9>paid sharing impacts including extra member for the reasons that

0:11:45.080 --> 0:11:47.640
<v Speaker 9>Greg mentioned, that's going to build up over multiple quarters.

0:11:48.679 --> 0:11:49.400
<v Speaker 3>That's a newman there.

0:11:49.440 --> 0:11:53.000
<v Speaker 2>Netflix is CFO and trying to articulate why they're all

0:11:53.080 --> 0:11:56.079
<v Speaker 2>so early in this shift towards an advertising model. That's

0:11:56.120 --> 0:11:59.200
<v Speaker 2>continuing the conversation with Julie Alexander, director of strategy over

0:11:59.240 --> 0:12:01.400
<v Speaker 2>at Parent Analysts, and it was a really interesting set

0:12:01.440 --> 0:12:04.000
<v Speaker 2>of numbers. The fact that Netflix is down the most

0:12:04.040 --> 0:12:08.400
<v Speaker 2>it's Eightril twenty twenty two. Clearly people had some anxiety

0:12:08.480 --> 0:12:10.360
<v Speaker 2>around the fact that the revenue just doesn't seem to

0:12:10.400 --> 0:12:11.959
<v Speaker 2>be following the uptick in subscriptions.

0:12:13.520 --> 0:12:15.079
<v Speaker 1>Yeah, I think it speaks too.

0:12:15.200 --> 0:12:17.680
<v Speaker 10>I mean, let's be clear, Netflix had a really great

0:12:17.800 --> 0:12:20.120
<v Speaker 10>quarter when we're looking at Netflix's previous quarters.

0:12:20.400 --> 0:12:22.160
<v Speaker 11>This is the kind of uptic that we are hoping

0:12:22.200 --> 0:12:23.000
<v Speaker 11>to see from Netflix.

0:12:23.280 --> 0:12:25.360
<v Speaker 1>But that softer revenue is concerning.

0:12:25.679 --> 0:12:28.040
<v Speaker 10>It's only concerning if we think about this in terms

0:12:28.120 --> 0:12:31.520
<v Speaker 10>of that ARM number, that average revenue permember. Other companies

0:12:31.559 --> 0:12:34.360
<v Speaker 10>refer to this as typical RPO, that average revenue per user.

0:12:34.640 --> 0:12:36.840
<v Speaker 1>And so we see that three percent decline year over year.

0:12:37.200 --> 0:12:39.400
<v Speaker 10>Now that we know that as Netflix tries to onboard

0:12:39.440 --> 0:12:41.760
<v Speaker 10>these new subscribers, right, so we see that nice subscriber

0:12:41.800 --> 0:12:44.000
<v Speaker 10>growth in the most recent quarter. The question is what

0:12:44.120 --> 0:12:46.480
<v Speaker 10>are revenue are they generating for these customers that now

0:12:46.640 --> 0:12:49.280
<v Speaker 10>have different pricing options. They can come in at a

0:12:49.360 --> 0:12:52.240
<v Speaker 10>cheaper add tier, which actually is better for Netflix overall.

0:12:52.320 --> 0:12:54.920
<v Speaker 10>The ARM front because of that advertising revenue alongside the

0:12:54.960 --> 0:12:57.280
<v Speaker 10>subscription review is really strong. But a lot of these

0:12:57.360 --> 0:13:00.319
<v Speaker 10>countries where they're experimenting with the password sharing crack, and

0:13:00.360 --> 0:13:02.280
<v Speaker 10>where they're looking at how to kind of increase their

0:13:02.280 --> 0:13:05.040
<v Speaker 10>subscribers and leading into this immense demand that they see

0:13:05.080 --> 0:13:07.679
<v Speaker 10>across their portfolio. The questions are these members coming in

0:13:07.840 --> 0:13:10.240
<v Speaker 10>at a cheaper plan that maybe does not include subscribers

0:13:10.520 --> 0:13:13.360
<v Speaker 10>We know that Netflix includes options, for example in Latin America,

0:13:13.600 --> 0:13:15.440
<v Speaker 10>for some of these subscribers who are getting kicked off

0:13:15.480 --> 0:13:17.679
<v Speaker 10>their parents' plans, are getting kicked off their friends'.

0:13:17.440 --> 0:13:19.199
<v Speaker 11>Plans to go in and say, hey, I want to

0:13:19.200 --> 0:13:22.280
<v Speaker 11>come in a cheaper tier for the service.

0:13:22.480 --> 0:13:25.240
<v Speaker 10>And so how much revenue is Netflix really generating on

0:13:25.360 --> 0:13:28.160
<v Speaker 10>average across these different subscribers is going to be the

0:13:28.320 --> 0:13:31.120
<v Speaker 10>long term question. I think that's why you see Spencer

0:13:31.480 --> 0:13:34.439
<v Speaker 10>and you see Greg and you see tests Rando's. The

0:13:34.520 --> 0:13:36.880
<v Speaker 10>co CEOs, Greg Peters and teds Rando's speak to this

0:13:37.040 --> 0:13:40.360
<v Speaker 10>really important aspect of pushing people towards the advertising tier,

0:13:40.640 --> 0:13:43.720
<v Speaker 10>taking away certain plans like these basic ad free plans

0:13:43.800 --> 0:13:46.200
<v Speaker 10>right and kind of moving into this idea of having

0:13:46.440 --> 0:13:50.000
<v Speaker 10>a better position pricing power to really generate the revenue

0:13:50.040 --> 0:13:51.240
<v Speaker 10>that they need, especially.

0:13:50.920 --> 0:13:52.640
<v Speaker 1>As they kind of level out content spending.

0:13:52.960 --> 0:13:54.760
<v Speaker 2>So JUDI they did do that of course in the

0:13:54.920 --> 0:13:59.040
<v Speaker 2>UK and the US countries where people, of course canford

0:13:59.360 --> 0:14:01.760
<v Speaker 2>they uptake, can decide Okay, I'll go for the AD

0:14:01.920 --> 0:14:04.240
<v Speaker 2>supported cheap A model, or I'll have to pay more

0:14:04.600 --> 0:14:05.440
<v Speaker 2>to get AD free.

0:14:05.760 --> 0:14:07.440
<v Speaker 3>What do they do about emerging markets?

0:14:07.480 --> 0:14:10.200
<v Speaker 2>How do they ensure that they can have the revenue

0:14:10.240 --> 0:14:12.920
<v Speaker 2>they need from areas that they're still able to grow in.

0:14:13.160 --> 0:14:17.480
<v Speaker 10>Ultimately, I think what's really smart about Netflix's plan, And

0:14:17.559 --> 0:14:19.720
<v Speaker 10>let's be clear, I think there would actually be more

0:14:19.760 --> 0:14:23.800
<v Speaker 10>of a concern if the ARM didn't change, in part

0:14:23.840 --> 0:14:26.680
<v Speaker 10>because Netflix was not experimenting with its pricing power. I

0:14:26.720 --> 0:14:28.480
<v Speaker 10>think the fact that Netflix is saying we're going to

0:14:28.560 --> 0:14:31.520
<v Speaker 10>experiment with pricing power, We're going to experiment in markets

0:14:31.560 --> 0:14:34.080
<v Speaker 10>that we know local content is really important, and we

0:14:34.240 --> 0:14:37.560
<v Speaker 10>know that customers don't necessarily have the disposable income that

0:14:38.000 --> 0:14:41.000
<v Speaker 10>customers in the US, the UK, Canada tend to have.

0:14:41.440 --> 0:14:43.000
<v Speaker 10>We really want to figure out how we can be

0:14:43.120 --> 0:14:46.200
<v Speaker 10>the local, dominant entertainment source and all these different countries

0:14:46.280 --> 0:14:48.880
<v Speaker 10>right where Netflix is trying to monopolize attention is not

0:14:49.040 --> 0:14:51.200
<v Speaker 10>just as the global distributor of one type.

0:14:51.000 --> 0:14:54.240
<v Speaker 11>Of content, but being a local powerhouse and then sitting under.

0:14:54.080 --> 0:14:55.840
<v Speaker 1>This global umbrella that is Netflix.

0:14:56.120 --> 0:14:58.360
<v Speaker 10>And so when we think about that, what Netflix is

0:14:58.400 --> 0:15:00.640
<v Speaker 10>really I think building is the s of having a

0:15:00.840 --> 0:15:03.800
<v Speaker 10>prestige type of platform, a premium platform and then a

0:15:03.920 --> 0:15:07.200
<v Speaker 10>casual platform, and the casual platform and the premium platform,

0:15:07.360 --> 0:15:10.760
<v Speaker 10>unlike in other companies where that might be limited access

0:15:10.840 --> 0:15:12.600
<v Speaker 10>to certain titles, whether that might be.

0:15:14.440 --> 0:15:17.280
<v Speaker 1>The inability to actually access certain things on the platform.

0:15:17.320 --> 0:15:20.680
<v Speaker 10>And think about how Peacock has Premium Plus, how HBO Max,

0:15:20.880 --> 0:15:23.760
<v Speaker 10>how they differentiate between or now max rather how they

0:15:23.840 --> 0:15:27.560
<v Speaker 10>differentiate between the ad free platform and the ad supported platform.

0:15:27.920 --> 0:15:30.600
<v Speaker 10>Netflix is taking this into account of well, if we

0:15:30.680 --> 0:15:33.280
<v Speaker 10>get if we get rid of these basic plants that

0:15:33.280 --> 0:15:35.920
<v Speaker 10>don't have advertising, and we can make up that kind

0:15:36.000 --> 0:15:39.440
<v Speaker 10>of average revenue per member by bringing people into that

0:15:39.520 --> 0:15:42.120
<v Speaker 10>ad free plan, sorry, that ad supported plan, and then

0:15:42.160 --> 0:15:44.960
<v Speaker 10>continuing to build upon that and actually bringing an additional revenue.

0:15:45.160 --> 0:15:45.800
<v Speaker 1>Then in these.

0:15:45.680 --> 0:15:47.960
<v Speaker 10>Markets where we can keep our pricing really low and

0:15:48.120 --> 0:15:52.160
<v Speaker 10>see increased household penetration, especially in markets like in VR

0:15:52.200 --> 0:15:54.600
<v Speaker 10>or parts of Europe where the linear and paid TV

0:15:54.720 --> 0:15:57.040
<v Speaker 10>system is still pretty fundamental.

0:15:57.360 --> 0:15:59.760
<v Speaker 1>These are countries where they don't necessarily need streaming.

0:16:00.200 --> 0:16:02.920
<v Speaker 10>Internet access is still being developed in many ways, or

0:16:02.960 --> 0:16:05.280
<v Speaker 10>they're still kind of moving on to those types of plans.

0:16:05.560 --> 0:16:07.720
<v Speaker 10>Netflix is saying, we know that we need to penetrate,

0:16:07.760 --> 0:16:10.040
<v Speaker 10>and we know that that is our first goal. You'll

0:16:10.040 --> 0:16:12.240
<v Speaker 10>got a country like India where they're seeing strong penetration,

0:16:12.360 --> 0:16:15.080
<v Speaker 10>but they're taking it at a stronger loss on the

0:16:15.120 --> 0:16:15.760
<v Speaker 10>revenue front.

0:16:15.960 --> 0:16:19.520
<v Speaker 11>And unlike Disney, who's who's suggesting with Bob Buyer's recent.

0:16:19.320 --> 0:16:21.560
<v Speaker 10>Comments, we might move out of this market a little bit,

0:16:21.800 --> 0:16:24.080
<v Speaker 10>you have Netflix saying we really want to double down.

0:16:24.360 --> 0:16:28.280
<v Speaker 10>How can we use two different pricing power plans globally

0:16:28.560 --> 0:16:30.680
<v Speaker 10>to ensure that our revenue does not kind of see

0:16:30.720 --> 0:16:33.680
<v Speaker 10>these consistent slowdowns as we bring on these new customers.

0:16:33.840 --> 0:16:38.560
<v Speaker 2>Juday, what about content, Because what's interesting is is perhaps

0:16:38.920 --> 0:16:41.040
<v Speaker 2>Netflix less exposed to some of the strikes here in

0:16:41.040 --> 0:16:43.840
<v Speaker 2>the United States because they can make much more content

0:16:44.080 --> 0:16:46.000
<v Speaker 2>locally in these local markets.

0:16:47.280 --> 0:16:47.480
<v Speaker 1>Yeah.

0:16:47.520 --> 0:16:49.320
<v Speaker 10>I mean, you know, just some quick data points from

0:16:49.360 --> 0:16:51.880
<v Speaker 10>our firm, parent Analytics. You know, Netflix leads the pack

0:16:51.920 --> 0:16:54.600
<v Speaker 10>when it comes to on platform demand share, and what

0:16:54.760 --> 0:16:58.640
<v Speaker 10>that really suggests to us is this ability to retain customers.

0:16:58.840 --> 0:17:01.360
<v Speaker 10>This idea that when people are looking at an entire

0:17:01.440 --> 0:17:05.119
<v Speaker 10>platform across original licensed programming, rarely spending the majority of

0:17:05.160 --> 0:17:05.560
<v Speaker 10>their time.

0:17:05.840 --> 0:17:08.520
<v Speaker 11>Netflix has actually beaten out Hulu in Q one twenty

0:17:08.600 --> 0:17:09.080
<v Speaker 11>twenty three.

0:17:09.320 --> 0:17:11.879
<v Speaker 10>In Q two it beat out HBO Max again now

0:17:11.960 --> 0:17:15.000
<v Speaker 10>Max and with those combined Discovery plus Max assets, and

0:17:15.080 --> 0:17:17.840
<v Speaker 10>so Netflix still is kind of the home in many ways,

0:17:17.960 --> 0:17:20.160
<v Speaker 10>especially in the United States, to a lot of these customers.

0:17:20.760 --> 0:17:24.120
<v Speaker 10>Where Netflix is most insulated is that Netflix has two

0:17:24.640 --> 0:17:27.320
<v Speaker 10>or three main advantages. It has this global pipeline, and

0:17:27.359 --> 0:17:30.080
<v Speaker 10>we've seen demand for global content to increase. Now, I

0:17:30.160 --> 0:17:32.440
<v Speaker 10>want to be very clear here, the story of squid

0:17:32.520 --> 0:17:35.760
<v Speaker 10>games should not be that Netflix can create global hits

0:17:35.800 --> 0:17:37.680
<v Speaker 10>on the fly. It should be that they can create

0:17:37.760 --> 0:17:39.960
<v Speaker 10>really strong local hits that might be able to find

0:17:40.040 --> 0:17:44.040
<v Speaker 10>audiences outside of those territories and therefore increase the revenue

0:17:44.080 --> 0:17:45.760
<v Speaker 10>that they that they originally had planned for that.

0:17:46.440 --> 0:17:48.880
<v Speaker 1>And so if we think about we'll have to wrap

0:17:48.920 --> 0:17:49.159
<v Speaker 1>it up.

0:17:49.240 --> 0:17:51.639
<v Speaker 2>We've loved there's so much meat to the bones of

0:17:51.680 --> 0:17:54.840
<v Speaker 2>everything that you're bringing in terms of your proprietary data

0:17:54.880 --> 0:17:57.480
<v Speaker 2>and analytics, and we'll get into it a lot more later.

0:17:57.640 --> 0:17:59.640
<v Speaker 2>But thank you so much that that was a very

0:18:00.080 --> 0:18:02.480
<v Speaker 2>wide ranging conversation when it comes to all things Netflix

0:18:02.520 --> 0:18:06.119
<v Speaker 2>parent analytics Judio Alexander. Meanwhile, coming up a conversation with

0:18:06.280 --> 0:18:08.200
<v Speaker 2>our investment CEO and founder Kath Wood.

0:18:08.080 --> 0:18:18.800
<v Speaker 3>This is a bit back technology with tech earnings upon us.

0:18:18.920 --> 0:18:22.120
<v Speaker 2>How much will we actually see AI driver of revenue

0:18:22.440 --> 0:18:24.639
<v Speaker 2>or more just a driver of conversation? And what are

0:18:24.680 --> 0:18:27.520
<v Speaker 2>the risks still posed by the technology? Talked about all

0:18:27.560 --> 0:18:29.280
<v Speaker 2>of this and much more with the Arch investment CEO

0:18:29.359 --> 0:18:32.919
<v Speaker 2>and founder Kathy would and that Christie's art and tech summuch.

0:18:33.000 --> 0:18:33.480
<v Speaker 3>Take a listen.

0:18:34.440 --> 0:18:37.080
<v Speaker 12>One of the questions we get we're asked a lard

0:18:37.320 --> 0:18:42.199
<v Speaker 12>is about the displacement of jobs. I think you're worried

0:18:42.240 --> 0:18:46.040
<v Speaker 12>about the nefarious uses of artificial intelligent of humanity.

0:18:46.280 --> 0:18:47.600
<v Speaker 3>The people seem to be talking.

0:18:47.600 --> 0:18:54.800
<v Speaker 12>Yeah, so that on the second, all technologies can be

0:18:55.000 --> 0:18:59.080
<v Speaker 12>used for nefarious purposes. I think what's scaring people is

0:18:59.480 --> 0:19:03.040
<v Speaker 12>that this one is evolving so quickly. And one of

0:19:03.080 --> 0:19:07.080
<v Speaker 12>the reasons it's evolving so quickly is the rate at

0:19:07.119 --> 0:19:12.119
<v Speaker 12>which costs are declining. So AI training costs are dropping

0:19:12.480 --> 0:19:17.760
<v Speaker 12>seventy percent per year. And why is that it's actually

0:19:17.880 --> 0:19:20.760
<v Speaker 12>twice as fast as Morse law. It's the pace is

0:19:20.840 --> 0:19:24.960
<v Speaker 12>the learning curve associated with this technology, So just to

0:19:25.040 --> 0:19:30.240
<v Speaker 12>get put help people understand what this means. So chat

0:19:30.359 --> 0:19:34.879
<v Speaker 12>GPT came out of GPT three. If that model had

0:19:34.960 --> 0:19:38.680
<v Speaker 12>been developed in twenty fifteen, it would have cost eight

0:19:38.800 --> 0:19:44.640
<v Speaker 12>hundred million dollars. Instead it was twenty twenty cost four

0:19:44.680 --> 0:19:48.680
<v Speaker 12>and a half million dollars inceday, energy usees, intent, the

0:19:48.800 --> 0:19:52.680
<v Speaker 12>cost yes, the cost of yes, developing the model to

0:19:52.920 --> 0:19:58.560
<v Speaker 12>hardware software today, So eight hundred million eight years ago,

0:20:00.320 --> 0:20:02.320
<v Speaker 12>two and a half years ago, four and a half

0:20:02.400 --> 0:20:07.280
<v Speaker 12>million today less than four hundred thousand dollars. Now we're

0:20:07.320 --> 0:20:13.159
<v Speaker 12>building bigger models, but the costs are collapsing and the

0:20:13.240 --> 0:20:14.920
<v Speaker 12>opportunities therefore are exploding.

0:20:15.960 --> 0:20:21.480
<v Speaker 2>Is it exploding just for private companies for closed source

0:20:21.560 --> 0:20:25.760
<v Speaker 2>foundational models? Are you thinking that open source which in

0:20:25.920 --> 0:20:28.879
<v Speaker 2>many ways the art world is trying to struggle with

0:20:28.960 --> 0:20:33.520
<v Speaker 2>this sort of ownership versus sharing model as well. What

0:20:33.640 --> 0:20:36.280
<v Speaker 2>do you think will end up being the AI models

0:20:36.480 --> 0:20:37.879
<v Speaker 2>or can they all live together?

0:20:38.760 --> 0:20:43.200
<v Speaker 12>So we're studying this very carefully. So foundation models, the

0:20:43.320 --> 0:20:50.439
<v Speaker 12>open AI anthropic metas Lama, Google's palm. Now we have AJX,

0:20:52.080 --> 0:20:56.600
<v Speaker 12>the foundation models. We thought we're going to commoditize, and

0:20:56.880 --> 0:21:00.800
<v Speaker 12>we actually still think they will. You do open AI

0:21:00.960 --> 0:21:04.600
<v Speaker 12>and Microsoft together now announcing charges for all of these

0:21:04.640 --> 0:21:08.240
<v Speaker 12>AI assistants and so forth. But you have challengers. You

0:21:08.400 --> 0:21:11.600
<v Speaker 12>have Meta out there saying no, we're not, We're not.

0:21:11.880 --> 0:21:16.320
<v Speaker 12>This is open source. You have academic researchers, You've got

0:21:16.440 --> 0:21:22.600
<v Speaker 12>people in the technology community who who are passionate about

0:21:22.840 --> 0:21:24.520
<v Speaker 12>this open source movement.

0:21:25.119 --> 0:21:27.280
<v Speaker 2>Kathy with there, we'll talk much more about open source

0:21:27.359 --> 0:21:37.320
<v Speaker 2>in our VC spotlight. Wellcome back to bling back technology.

0:21:37.320 --> 0:21:39.200
<v Speaker 2>I'm Caroline Hyde in New York. Let's get you a

0:21:39.280 --> 0:21:41.320
<v Speaker 2>check on the market's halfway through this trading day, and

0:21:41.440 --> 0:21:44.840
<v Speaker 2>we are seeing negativity warries, particularly in the tech space.

0:21:45.200 --> 0:21:47.040
<v Speaker 2>We're looking over all, and then as that pulls down

0:21:47.080 --> 0:21:49.440
<v Speaker 2>one point three percent, those earnings looking lackluster for some

0:21:49.560 --> 0:21:51.560
<v Speaker 2>of the key tech names. How much can we justify

0:21:51.680 --> 0:21:54.760
<v Speaker 2>a record first half for the NASA one hundred in particular.

0:21:54.960 --> 0:21:57.320
<v Speaker 2>Now remember this is just falling that little bit lower,

0:21:57.359 --> 0:21:58.440
<v Speaker 2>but it is the worst day that it was see

0:21:58.440 --> 0:22:00.640
<v Speaker 2>since Dune the seventh for this index two year yield.

0:22:00.880 --> 0:22:03.879
<v Speaker 2>Also a movement away from the bond market is we're

0:22:03.920 --> 0:22:07.600
<v Speaker 2>seeing basis points move nine almost ten basis points on

0:22:07.680 --> 0:22:10.040
<v Speaker 2>the two years. So once again perhaps we see that

0:22:10.200 --> 0:22:12.280
<v Speaker 2>there's going to need to be a tackle of inflation.

0:22:12.480 --> 0:22:15.119
<v Speaker 2>Maybe this is more what's just ultimately happening in some

0:22:15.240 --> 0:22:17.840
<v Speaker 2>of the sell off that we've seen in terms of

0:22:18.040 --> 0:22:20.320
<v Speaker 2>yields pushing lower over the last few weeks, that we've

0:22:20.320 --> 0:22:22.440
<v Speaker 2>seen the CPI print come in, and we look forward

0:22:22.480 --> 0:22:24.680
<v Speaker 2>to all other inflationary prints we've had. Over in the UK,

0:22:24.800 --> 0:22:26.840
<v Speaker 2>it was looking good, and indeed in Europe we're seeing

0:22:26.840 --> 0:22:29.520
<v Speaker 2>the Bloomberg Commodity Index though up on the six tenths percent.

0:22:29.640 --> 0:22:31.760
<v Speaker 2>Maybe this is what's feeding into anxiety as to why

0:22:32.000 --> 0:22:34.760
<v Speaker 2>the Fed might still have to continue to increase interest rates.

0:22:34.880 --> 0:22:37.480
<v Speaker 2>It's because inflation is still evident, particularly in grains. We're

0:22:37.480 --> 0:22:40.440
<v Speaker 2>thinking of wheat pushing higher. Therefore, the Bloomberg Commodity Index

0:22:40.520 --> 0:22:42.280
<v Speaker 2>just on the upside. Moving on, let's look at the

0:22:42.320 --> 0:22:44.119
<v Speaker 2>individual names when it comes to our sector. Right here,

0:22:44.160 --> 0:22:46.359
<v Speaker 2>when I'm looking at tech IBM, look I focused on

0:22:46.440 --> 0:22:48.480
<v Speaker 2>one of the very few big tech names are on

0:22:48.520 --> 0:22:50.879
<v Speaker 2>the higher side today, IBM up more than three percent

0:22:50.960 --> 0:22:54.360
<v Speaker 2>as they managed to actually releave some anxiety about their

0:22:54.480 --> 0:22:57.400
<v Speaker 2>forward guidance in terms of yes, their second quarter didn't

0:22:57.600 --> 0:23:01.560
<v Speaker 2>perhaps match expectations on current but people really feel that

0:23:01.600 --> 0:23:03.600
<v Speaker 2>this is still a turnaround story that they're managing to

0:23:03.640 --> 0:23:05.880
<v Speaker 2>bring in the free cash flow at the moment.

0:23:06.000 --> 0:23:07.440
<v Speaker 3>So some analysts liking that number.

0:23:07.600 --> 0:23:12.159
<v Speaker 2>SAP, I'm showing the American Depository receipts of this German company.

0:23:12.359 --> 0:23:14.320
<v Speaker 2>It's the biggest software company over in Europe with down

0:23:14.359 --> 0:23:17.760
<v Speaker 2>more than five percent, even upgrade their outlooks for profitability,

0:23:17.840 --> 0:23:19.640
<v Speaker 2>but not enough and maybe some of the second quarter

0:23:19.680 --> 0:23:21.879
<v Speaker 2>looked a little bit shy, were worried about spending on

0:23:21.960 --> 0:23:25.000
<v Speaker 2>it over in Europe. And Tesla, I mean, down by

0:23:25.080 --> 0:23:27.919
<v Speaker 2>more than seven percent. Pretty crushing day. But remember how

0:23:28.000 --> 0:23:30.600
<v Speaker 2>far we have rallied on this particular stock as we

0:23:30.680 --> 0:23:32.919
<v Speaker 2>look at a company that's still focuses.

0:23:32.560 --> 0:23:34.080
<v Speaker 3>On volume over profitability.

0:23:34.480 --> 0:23:37.200
<v Speaker 2>Interesting that also Tesla was talking about that supercomputer that's

0:23:37.200 --> 0:23:39.440
<v Speaker 2>going to be driving its autonomous driving. We understand the

0:23:39.520 --> 0:23:44.200
<v Speaker 2>billion being spent there, dojo. Let's move across to another supercomputer, Cerebras,

0:23:44.560 --> 0:23:48.120
<v Speaker 2>known for its AI compute processes and cloud services. It's

0:23:48.440 --> 0:23:52.359
<v Speaker 2>operating and managing one of the largest AI supercomputers in

0:23:52.440 --> 0:23:52.840
<v Speaker 2>the world.

0:23:53.000 --> 0:23:57.000
<v Speaker 3>It's called Condoor Galaxy one or CG one for short

0:23:57.280 --> 0:23:59.200
<v Speaker 3>hows in Santa Clara, California.

0:23:59.400 --> 0:24:02.479
<v Speaker 2>It can be built to help train generative AI models

0:24:02.640 --> 0:24:05.120
<v Speaker 2>at a faster rate than ever before. They claim, CG

0:24:05.280 --> 0:24:08.200
<v Speaker 2>one has already been purchased by one of its strategic

0:24:08.280 --> 0:24:11.200
<v Speaker 2>partners based over an Abidabi. Let's talk now to the CEO,

0:24:11.560 --> 0:24:14.119
<v Speaker 2>Andrew Feldman of Cerebras. Andrew, it's great to have some

0:24:14.240 --> 0:24:16.040
<v Speaker 2>time with you. And look, it's a lot of money,

0:24:16.119 --> 0:24:18.320
<v Speaker 2>what one hundred million for one of these supercomputers, and

0:24:18.320 --> 0:24:19.920
<v Speaker 2>I'm interested as to what Abu Dabi is going to

0:24:19.960 --> 0:24:20.399
<v Speaker 2>be using it for.

0:24:22.040 --> 0:24:22.200
<v Speaker 1>Well.

0:24:22.280 --> 0:24:25.359
<v Speaker 13>First, you know, today we announced a strategic partnership with

0:24:25.720 --> 0:24:29.080
<v Speaker 13>G forty two and the first deliverable from that strategic

0:24:29.160 --> 0:24:32.359
<v Speaker 13>partnership was one of the largest AI supercomputers in the world.

0:24:33.200 --> 0:24:38.320
<v Speaker 13>And as you and your audience knows, there's a yawning

0:24:38.400 --> 0:24:43.440
<v Speaker 13>demand right now for AI compute. And this demand is

0:24:43.520 --> 0:24:47.040
<v Speaker 13>not just domestic in the US. We're seeing it globally,

0:24:47.960 --> 0:24:51.000
<v Speaker 13>and by working together with G forty two, we think

0:24:51.080 --> 0:24:54.520
<v Speaker 13>we can build a constellation not just one, but nine

0:24:55.720 --> 0:25:00.480
<v Speaker 13>AI supercomputers and fundamentally change the global inventory of compute.

0:25:00.840 --> 0:25:04.280
<v Speaker 2>Okay, Chris, many might rightly or wrongly have really put

0:25:04.320 --> 0:25:06.359
<v Speaker 2>all their eggs in the in video basket, feeling that

0:25:06.680 --> 0:25:08.639
<v Speaker 2>is where we're going to be satiated in terms of

0:25:08.680 --> 0:25:11.320
<v Speaker 2>our compute power and necessity. And you're saying that's not true,

0:25:11.440 --> 0:25:13.280
<v Speaker 2>or at least we don't need to just focus on

0:25:13.440 --> 0:25:15.879
<v Speaker 2>some of these large, big tech American players.

0:25:16.880 --> 0:25:19.120
<v Speaker 13>I think that's exactly right. I think first, all your

0:25:19.119 --> 0:25:22.000
<v Speaker 13>eggs in one basket has historically been a poor strategy.

0:25:22.480 --> 0:25:26.320
<v Speaker 13>I think dependence is anywhere in your supply chain is

0:25:26.359 --> 0:25:30.200
<v Speaker 13>probably not the right strategy. But there are visionary companies

0:25:30.760 --> 0:25:35.680
<v Speaker 13>like G forty two around the globe. We're seeing models

0:25:35.760 --> 0:25:39.760
<v Speaker 13>both foundation in closed source and open source in Europe,

0:25:40.640 --> 0:25:44.000
<v Speaker 13>coming from the Middle East, coming from Abudhabi, coming from Singapore,

0:25:44.920 --> 0:25:49.680
<v Speaker 13>from Japan, from South Korea. And this is a phenomena

0:25:49.720 --> 0:25:55.080
<v Speaker 13>that extends well beyond the six or seven US hyperscalers. Right,

0:25:55.359 --> 0:26:00.080
<v Speaker 13>this is a need for compute that we thought a

0:26:00.200 --> 0:26:03.879
<v Speaker 13>partnership with G forty two could help me to a

0:26:03.960 --> 0:26:04.760
<v Speaker 13>global demand.

0:26:05.160 --> 0:26:06.760
<v Speaker 3>Can you push us into the future a little bit.

0:26:06.800 --> 0:26:09.840
<v Speaker 2>We were talking with Kathy Wood about closed source open

0:26:09.920 --> 0:26:14.040
<v Speaker 2>source and you over at Cerebris are basically helping train

0:26:14.200 --> 0:26:17.280
<v Speaker 2>GPT models and then putting them into the open source community.

0:26:17.359 --> 0:26:17.920
<v Speaker 3>Why are you doing that?

0:26:18.040 --> 0:26:22.440
<v Speaker 2>What do you think ultimately the AI landscape looks like

0:26:22.840 --> 0:26:23.720
<v Speaker 2>in five years or so.

0:26:25.200 --> 0:26:28.440
<v Speaker 13>Ok. I think one of the things she spoke about

0:26:28.480 --> 0:26:33.280
<v Speaker 13>in her session was just how fast the AI community

0:26:33.359 --> 0:26:36.120
<v Speaker 13>is moving. And it's been moving that quickly in part

0:26:36.240 --> 0:26:40.000
<v Speaker 13>because of the open source and not just open source,

0:26:40.080 --> 0:26:44.520
<v Speaker 13>but open publishing mentality. People have put ideas into the

0:26:44.560 --> 0:26:48.120
<v Speaker 13>space again and again, and within weeks or months, those

0:26:48.160 --> 0:26:52.560
<v Speaker 13>ideas are built on, they're improved, they're furthered and this

0:26:52.840 --> 0:26:58.600
<v Speaker 13>is produced a sort of a Cambrian explosion of ideas.

0:26:59.359 --> 0:27:03.200
<v Speaker 13>And we have been leaders in putting large models into

0:27:03.240 --> 0:27:07.440
<v Speaker 13>the open source community. Our partner G forty two through

0:27:07.480 --> 0:27:11.480
<v Speaker 13>its companies, has been pushing open source models into the community,

0:27:12.400 --> 0:27:15.240
<v Speaker 13>and many others have. We're not alone at all, other

0:27:15.359 --> 0:27:19.879
<v Speaker 13>hardware makers, other software makers. I think the community, the

0:27:19.960 --> 0:27:24.480
<v Speaker 13>ecosystem is more healthy if it's not just a small

0:27:24.600 --> 0:27:27.919
<v Speaker 13>number of compute providers and a small number of model makers.

0:27:28.400 --> 0:27:30.600
<v Speaker 3>What about the China US divide, though.

0:27:33.280 --> 0:27:37.760
<v Speaker 13>It's an important divide, and you know there we have

0:27:38.000 --> 0:27:41.800
<v Speaker 13>to think carefully that there are no easy answers about

0:27:42.680 --> 0:27:47.000
<v Speaker 13>powerful technology and the right way to manage their distribution

0:27:47.119 --> 0:27:52.560
<v Speaker 13>around the world. I think it's it's an extraordinarily challenging

0:27:52.680 --> 0:27:55.879
<v Speaker 13>problem and one that the politicians have to have to

0:27:56.000 --> 0:27:56.480
<v Speaker 13>work through.

0:27:57.080 --> 0:27:59.520
<v Speaker 2>Meanwhile, though, the politicians have to balance the risks with

0:27:59.680 --> 0:28:02.240
<v Speaker 2>the real wards. Many would say key rewards being the

0:28:02.280 --> 0:28:05.280
<v Speaker 2>application of AI in science and healthcare and the like.

0:28:05.440 --> 0:28:07.760
<v Speaker 2>Which industries have you been most impressed with the way

0:28:07.800 --> 0:28:11.360
<v Speaker 2>in which they've adopted and used AI, particularly using your supercomputer.

0:28:13.320 --> 0:28:14.080
<v Speaker 1>That's exactly right.

0:28:14.280 --> 0:28:19.000
<v Speaker 13>I think the regulation has to balance the drive for

0:28:19.080 --> 0:28:22.879
<v Speaker 13>innovation and how startups like ourselves and large partners of

0:28:23.600 --> 0:28:26.719
<v Speaker 13>startups like G forty two can drive innovation. I mean,

0:28:26.920 --> 0:28:30.960
<v Speaker 13>just recently we've seen through our partnership with G forty

0:28:31.000 --> 0:28:35.680
<v Speaker 13>two use of AI models and healthcare. We have partners

0:28:36.000 --> 0:28:41.280
<v Speaker 13>who do drug design with AI models. We see digital

0:28:41.320 --> 0:28:47.760
<v Speaker 13>assistance helping the elderly. We see in nearly every realm

0:28:47.800 --> 0:28:49.800
<v Speaker 13>of life and how we live, or work or play,

0:28:50.640 --> 0:28:54.600
<v Speaker 13>there's a role for AI. And you know you're showing

0:28:54.800 --> 0:28:58.840
<v Speaker 13>some of our customers, ask Zeneca, Total Bear, Jasper all

0:28:59.000 --> 0:29:04.000
<v Speaker 13>using AI in profoundly different ways, I think, and G

0:29:04.240 --> 0:29:06.760
<v Speaker 13>forty two will use it in still different ways too.

0:29:07.760 --> 0:29:11.040
<v Speaker 13>I think they are underrepresented languages. Arabic is one of

0:29:11.080 --> 0:29:16.120
<v Speaker 13>them where there's an opportunity for tremendous expansion in.

0:29:16.160 --> 0:29:17.640
<v Speaker 3>The role of AI.

0:29:18.320 --> 0:29:22.040
<v Speaker 13>But I think we have to work together. I think

0:29:22.080 --> 0:29:25.800
<v Speaker 13>your point about export is real and a challenge. But

0:29:25.880 --> 0:29:27.360
<v Speaker 13>the community has come together.

0:29:27.160 --> 0:29:27.640
<v Speaker 1>In the past.

0:29:27.760 --> 0:29:30.640
<v Speaker 13>We've built standards together, competitors come together and said this

0:29:30.800 --> 0:29:34.960
<v Speaker 13>is the standard. We can overcome geopolitical challenges as well.

0:29:35.280 --> 0:29:37.960
<v Speaker 2>Andrew Fellman, thanks for the time and the insights. The

0:29:38.040 --> 0:29:39.920
<v Speaker 2>CEO A cerebris No, it's a pleasure.

0:29:39.960 --> 0:29:40.720
<v Speaker 13>Thank you for having me.

0:29:41.160 --> 0:29:44.360
<v Speaker 2>Meanwhile, let's talk about the power of artificial intelligence and

0:29:44.760 --> 0:29:48.080
<v Speaker 2>what is US lawmakers doing about it? Scrambling to impose

0:29:48.160 --> 0:29:50.880
<v Speaker 2>limits on AI disinformation in particular ahead of twenty twenty

0:29:50.920 --> 0:29:54.520
<v Speaker 2>fours elections. So far, Democrats have unveiled some pretty modest

0:29:54.560 --> 0:29:57.800
<v Speaker 2>proposals calling for more transparency and campaign ads. One bill

0:29:57.880 --> 0:30:01.080
<v Speaker 2>seeks labeling on political ads the use of deep fakes

0:30:01.120 --> 0:30:04.040
<v Speaker 2>and other forms of AI. But Republicans it's been kind

0:30:04.080 --> 0:30:06.920
<v Speaker 2>of slow to sign on. Nevertheless, both actual sides of

0:30:06.960 --> 0:30:09.040
<v Speaker 2>the aisle have been pretty slow to grasp for really

0:30:09.160 --> 0:30:13.240
<v Speaker 2>comprehensive understanding, Like many of us are the rebby evolving technology,

0:30:13.560 --> 0:30:15.560
<v Speaker 2>and in fact we understand there at least months away

0:30:15.560 --> 0:30:21.920
<v Speaker 2>from introducing comprehensive legislation to mitigate AI's most serious disinformation threats. Meanwhile,

0:30:22.080 --> 0:30:25.320
<v Speaker 2>let's look at us social media giants or ready taking

0:30:25.440 --> 0:30:28.640
<v Speaker 2>action in India complying with the government. There, Facebook, Google

0:30:28.680 --> 0:30:31.680
<v Speaker 2>and Twitter are already removing a violent video There was

0:30:31.680 --> 0:30:35.000
<v Speaker 2>actually from May, but that's gone viral overnight. According to

0:30:35.040 --> 0:30:38.000
<v Speaker 2>people familiar, some social media companies began removing photos and

0:30:38.080 --> 0:30:41.000
<v Speaker 2>videos of an incident as it violated their rules even

0:30:41.040 --> 0:30:44.320
<v Speaker 2>before New Delhi issued emergency blocking orders. Video triggered the

0:30:44.360 --> 0:30:46.840
<v Speaker 2>first public comments from Prime Minister Modi on the violence

0:30:47.000 --> 0:30:50.160
<v Speaker 2>in Manipur state, where ethnic groups have clashed for nearly

0:30:50.200 --> 0:30:52.960
<v Speaker 2>two months. Though some journalists have voiced concerned about blocking

0:30:53.040 --> 0:30:55.600
<v Speaker 2>orders are obstructing news publishers' ability.

0:30:55.320 --> 0:30:56.640
<v Speaker 3>To report on the event.

0:30:57.640 --> 0:31:01.320
<v Speaker 2>Meanwhile, coming up, why all companies will need to incorporate

0:31:01.400 --> 0:31:04.960
<v Speaker 2>II into that operations to survive. Calling to a Gray

0:31:05.000 --> 0:31:07.680
<v Speaker 2>Lot partner Jerry Chen, we'll discuss that this is blue

0:31:07.720 --> 0:31:08.360
<v Speaker 2>meg technology.

0:31:23.120 --> 0:31:24.640
<v Speaker 3>Time Now for VC roundup.

0:31:24.680 --> 0:31:27.400
<v Speaker 2>First up, Sequoia Capital shaking up its team after a

0:31:27.440 --> 0:31:31.200
<v Speaker 2>turbulentlyar of market upheaval, a breakup, and at least five

0:31:31.280 --> 0:31:35.720
<v Speaker 2>investor departures, including two crypto focused investors Michelle Frodin Daniel Chen.

0:31:36.080 --> 0:31:38.720
<v Speaker 2>In the breakup, the firm also spun off Sequoia Heritage.

0:31:38.760 --> 0:31:41.280
<v Speaker 2>It's a wealth management business, which Michael Morrits will be

0:31:41.320 --> 0:31:44.320
<v Speaker 2>focusing on following his departure. Meanwhile, m and A and

0:31:44.400 --> 0:31:47.320
<v Speaker 2>investment activity at the largest tech in life science firms

0:31:47.520 --> 0:31:49.200
<v Speaker 2>finished the first half of twenty twenty three on a

0:31:49.240 --> 0:31:52.600
<v Speaker 2>disappointing streak, with pending and completed deals down forty five

0:31:52.640 --> 0:31:55.080
<v Speaker 2>percent compared to the start of twenty twenty two. If

0:31:55.120 --> 0:31:58.040
<v Speaker 2>it continues on twenty twenty three, total deal count could

0:31:58.040 --> 0:32:01.280
<v Speaker 2>be one of the lowest for Silicon Valley decades. Plus,

0:32:01.360 --> 0:32:04.960
<v Speaker 2>a US Congressional committee is investigating for Benure Capital firms

0:32:05.040 --> 0:32:09.040
<v Speaker 2>for their investments in Chinese tech companies GGV Capital, GSR Ventures,

0:32:09.040 --> 0:32:11.800
<v Speaker 2>Walden International, and qual Con Ventures. We're all being probed

0:32:11.800 --> 0:32:13.480
<v Speaker 2>at the moment. This is both the White House and

0:32:13.600 --> 0:32:16.800
<v Speaker 2>members of Congress acrafting policies to track and potentially block

0:32:16.920 --> 0:32:20.920
<v Speaker 2>US investments in certain fields in China. Well, let's get

0:32:21.160 --> 0:32:23.400
<v Speaker 2>more into the micro of what checks are being written

0:32:23.480 --> 0:32:25.040
<v Speaker 2>right now in the world of Benure Capital, and on

0:32:25.120 --> 0:32:27.680
<v Speaker 2>today's VC Spotlight, I'm pleased to bring in Jerry Chen,

0:32:27.880 --> 0:32:31.880
<v Speaker 2>partner at gray Lot Partners. Who's focus I'm sure, along

0:32:31.920 --> 0:32:34.400
<v Speaker 2>with a lot of your capadres at the moment, has

0:32:34.440 --> 0:32:37.800
<v Speaker 2>been artificial intelligence. How much are your current portfolio companies

0:32:37.880 --> 0:32:41.600
<v Speaker 2>managing to embrace and a D maybe pivot towards it.

0:32:42.640 --> 0:32:46.400
<v Speaker 14>Hey, Caroline, thanks for having me today. Everything's AI today.

0:32:46.440 --> 0:32:48.440
<v Speaker 14>So I think we said in a recent blog the

0:32:48.560 --> 0:32:51.280
<v Speaker 14>new new modes, it's AI or die. So it's not

0:32:51.480 --> 0:32:55.120
<v Speaker 14>like am I AIVC or is this AI VC fund?

0:32:55.480 --> 0:33:01.120
<v Speaker 14>Pretty much AIS touching healthcare, fin tech, consumer tech, door, storage, security,

0:33:01.280 --> 0:33:04.360
<v Speaker 14>So pretty much every partner at graylock folks on AI,

0:33:04.520 --> 0:33:05.360
<v Speaker 14>my self included.

0:33:06.200 --> 0:33:11.040
<v Speaker 2>Can you help us understand where the immediate opportunities are?

0:33:11.120 --> 0:33:12.080
<v Speaker 3>What's sort of been interesting.

0:33:12.120 --> 0:33:15.640
<v Speaker 2>There's been various reporting about perhaps how Jasper's been having

0:33:15.680 --> 0:33:19.840
<v Speaker 2>to cut back on its headcount, how actually experimental CEOs

0:33:20.120 --> 0:33:23.640
<v Speaker 2>and their engineers within big companies are willing to adopt

0:33:23.640 --> 0:33:27.360
<v Speaker 2>maybe open source models rather than purchasing the sort of

0:33:27.520 --> 0:33:30.400
<v Speaker 2>easier just plugins that many anticipated they would go with. First,

0:33:30.560 --> 0:33:33.040
<v Speaker 2>how are you seeing actual adoption of some of the

0:33:33.080 --> 0:33:34.200
<v Speaker 2>companies you've been investing in.

0:33:35.000 --> 0:33:36.280
<v Speaker 3>So I would say two things.

0:33:36.360 --> 0:33:40.320
<v Speaker 14>One, your interest from customers consumers is spot On. So

0:33:40.400 --> 0:33:43.880
<v Speaker 14>it'd say, like fifteen years ago, every at large customer

0:33:43.960 --> 0:33:46.239
<v Speaker 14>header had a cloud strategy, right, they had to talk

0:33:46.280 --> 0:33:48.200
<v Speaker 14>about how we're going to move to Amazon or as

0:33:48.360 --> 0:33:51.360
<v Speaker 14>or a Google cloud. Now every company out there, big

0:33:51.440 --> 0:33:54.160
<v Speaker 14>and small, has to have an AI strategy. So first

0:33:54.200 --> 0:33:57.960
<v Speaker 14>and foremost every portfolio company, Graylock is kind of benefiting

0:33:58.000 --> 0:34:00.800
<v Speaker 14>from the instant AI. But then the second question asked

0:34:00.920 --> 0:34:04.960
<v Speaker 14>is the difference between plugins, between models, between open source

0:34:05.320 --> 0:34:07.479
<v Speaker 14>and that's a question we had Graylock have been asking,

0:34:07.640 --> 0:34:09.800
<v Speaker 14>like where are the motes right? Where are the defential

0:34:09.840 --> 0:34:12.920
<v Speaker 14>business models in AI going forward? These some world where

0:34:12.960 --> 0:34:17.360
<v Speaker 14>we have chat GBT or Lama tea for Meta or

0:34:17.480 --> 0:34:19.919
<v Speaker 14>Palm from Google, Like what can you do to build

0:34:19.960 --> 0:34:22.080
<v Speaker 14>a mote around the AI models?

0:34:22.120 --> 0:34:23.279
<v Speaker 3>And so we've been debating that.

0:34:23.840 --> 0:34:27.479
<v Speaker 14>In one hand, you can talk about system engagement like chat,

0:34:27.640 --> 0:34:30.800
<v Speaker 14>like chat Gibt or bard. Chat has also become the

0:34:30.880 --> 0:34:33.600
<v Speaker 14>way to interact to AI, and it's debatable what that

0:34:34.080 --> 0:34:36.640
<v Speaker 14>persists or not. We're investors in a company called Pie

0:34:37.160 --> 0:34:40.399
<v Speaker 14>Inflection starre by Mustafa and my partner Ried Hoffmann. That's

0:34:40.480 --> 0:34:45.160
<v Speaker 14>all about using chat to talk to AI. There's infrastructure layers.

0:34:45.280 --> 0:34:47.600
<v Speaker 14>Companies like Lama Index, a new investment we just did

0:34:47.840 --> 0:34:50.839
<v Speaker 14>that talks about taking your enterprise data, interacting with these

0:34:50.880 --> 0:34:53.720
<v Speaker 14>open source models, and then comes like adept or inflection

0:34:53.800 --> 0:34:55.800
<v Speaker 14>and building these fundamental models themselves.

0:34:55.920 --> 0:34:56.240
<v Speaker 15>Carolyn.

0:34:56.360 --> 0:34:59.239
<v Speaker 14>So it's pretty cool because we're investing up and down

0:34:59.239 --> 0:35:01.680
<v Speaker 14>the stack. I think it's early innings to try to

0:35:01.719 --> 0:35:03.480
<v Speaker 14>figure out where all the money's going to accrue to.

0:35:04.200 --> 0:35:05.799
<v Speaker 3>Do you think at the moment some of the money

0:35:05.880 --> 0:35:07.480
<v Speaker 3>is being spent wrongly?

0:35:07.800 --> 0:35:09.560
<v Speaker 2>Have we got a sort of mini bubble on our

0:35:09.600 --> 0:35:12.400
<v Speaker 2>hands in terms of valuations and where it's being allocated.

0:35:13.360 --> 0:35:14.879
<v Speaker 15>I don't think it's it's right or wrong.

0:35:14.920 --> 0:35:16.880
<v Speaker 14>I think we're going to look back in time in

0:35:16.960 --> 0:35:18.960
<v Speaker 14>five or ten years to say that was a mistake.

0:35:19.000 --> 0:35:21.359
<v Speaker 14>I think there's a lot of experimentation going on right.

0:35:21.640 --> 0:35:25.080
<v Speaker 14>I think we're experimenting at the foundation models. We're experimenting

0:35:25.120 --> 0:35:28.120
<v Speaker 14>as a chat layer, we're experimented infrastructural layer. So I

0:35:28.200 --> 0:35:30.840
<v Speaker 14>think there's a lot of experimentation on how AI is

0:35:30.880 --> 0:35:34.960
<v Speaker 14>going to change a consumer tech, enterprise, tech security. I

0:35:35.040 --> 0:35:36.840
<v Speaker 14>think in the next two or three years we're going

0:35:36.920 --> 0:35:40.439
<v Speaker 14>to figure out where one which models work too, which

0:35:40.520 --> 0:35:43.080
<v Speaker 14>verticals make sense, be I, legal, be a healthcare be

0:35:43.200 --> 0:35:45.160
<v Speaker 14>a CRM. I think we're going to figure that out

0:35:45.200 --> 0:35:47.680
<v Speaker 14>over time, and then I think as investors we're going

0:35:47.760 --> 0:35:50.399
<v Speaker 14>to learn also, you know what business models make sense,

0:35:50.520 --> 0:35:53.040
<v Speaker 14>And you know my bias or my spoiler alert is

0:35:53.440 --> 0:35:55.840
<v Speaker 14>I think you know the old modes of our network

0:35:55.880 --> 0:36:00.480
<v Speaker 14>effects go to market strength, brand marketing. All those weapons

0:36:00.520 --> 0:36:03.320
<v Speaker 14>you employ as a startup founder in the past apply

0:36:03.480 --> 0:36:06.560
<v Speaker 14>even more going forward in AI. Right, So AI is great,

0:36:06.800 --> 0:36:09.000
<v Speaker 14>but I think Carolyn, like, the things that made money

0:36:09.000 --> 0:36:10.800
<v Speaker 14>in the past will make money in the future.

0:36:11.360 --> 0:36:14.880
<v Speaker 3>Where are those founders, sorry, where are the founders?

0:36:16.200 --> 0:36:19.000
<v Speaker 14>Well, I mean I think founders today AI are largely

0:36:19.040 --> 0:36:22.440
<v Speaker 14>coming out of two areas. One, they're coming from research

0:36:22.520 --> 0:36:25.520
<v Speaker 14>around AI. So you see a cluster of AI researchers

0:36:25.560 --> 0:36:28.800
<v Speaker 14>from open AI, from meta, from Google, folks that actually

0:36:28.880 --> 0:36:31.480
<v Speaker 14>know the deep technology. Number Two, I think you see

0:36:31.480 --> 0:36:33.520
<v Speaker 14>a cluster of founders coming out of domains.

0:36:33.840 --> 0:36:35.680
<v Speaker 3>So people are thinking like, Okay, I want to.

0:36:35.640 --> 0:36:40.840
<v Speaker 14>Apply AI, but I really know healthcare, legal, CRM customer

0:36:40.880 --> 0:36:44.200
<v Speaker 14>support very very well, and trying to marry the two together.

0:36:44.360 --> 0:36:46.120
<v Speaker 1>So I think we're investing in deep.

0:36:46.000 --> 0:36:49.360
<v Speaker 14>Tech founders, you're really academic researchers. And then we're investing

0:36:49.440 --> 0:36:52.360
<v Speaker 14>in domain experts that say, hey, I understand what the

0:36:52.440 --> 0:36:55.439
<v Speaker 14>problem here is. Oh holy shoot, Like I can solve

0:36:55.520 --> 0:36:57.759
<v Speaker 14>this problem with AI that I could in the past.

0:36:57.840 --> 0:37:00.640
<v Speaker 14>And AI is unlocking these domain ex first to do

0:37:00.760 --> 0:37:01.480
<v Speaker 14>things they can do.

0:37:01.600 --> 0:37:05.200
<v Speaker 16>Three four years ago, jey Chen with the applications of AI,

0:37:05.760 --> 0:37:07.759
<v Speaker 16>still trying to come to some really where all the

0:37:07.840 --> 0:37:09.960
<v Speaker 16>value is going to come from, as we will our partner,

0:37:09.960 --> 0:37:11.719
<v Speaker 16>a great up partner, is really interesting to have some

0:37:11.760 --> 0:37:12.120
<v Speaker 16>time with you.

0:37:12.239 --> 0:37:14.400
<v Speaker 3>Thank you. Meanwhile, let's stick with.

0:37:14.520 --> 0:37:16.680
<v Speaker 2>The world of bench Capital because mag so how many

0:37:16.719 --> 0:37:19.680
<v Speaker 2>changs sat down with Benchmark general partner Bill Gurley to

0:37:19.719 --> 0:37:22.239
<v Speaker 2>discuss the keys to his success over the decades long

0:37:22.320 --> 0:37:23.520
<v Speaker 2>career as a tech investor.

0:37:23.840 --> 0:37:25.440
<v Speaker 3>Is his take on what it takes to be a

0:37:25.480 --> 0:37:25.879
<v Speaker 3>great VC.

0:37:27.280 --> 0:37:30.280
<v Speaker 15>To be great at it requires a level of hustle

0:37:30.400 --> 0:37:35.799
<v Speaker 15>that's really hard to explain. And the reason is you're

0:37:35.920 --> 0:37:39.520
<v Speaker 15>trying to maximize the optionality that you get in front

0:37:39.560 --> 0:37:43.440
<v Speaker 15>of a home run pitch, and to do that, you

0:37:43.680 --> 0:37:47.200
<v Speaker 15>have to look under every rock you possibly can. And

0:37:47.360 --> 0:37:51.600
<v Speaker 15>so if you're not studying some new business model or

0:37:51.680 --> 0:37:55.320
<v Speaker 15>new platform, you know, AI, if you're not just in

0:37:55.600 --> 0:37:59.360
<v Speaker 15>every meeting, then you're lowering the chance that you're going

0:37:59.440 --> 0:38:02.240
<v Speaker 15>to be success. So it's an exhausting games.

0:38:02.840 --> 0:38:05.080
<v Speaker 2>Catch the whole conversation circle with them and chang tonight

0:38:05.160 --> 0:38:07.919
<v Speaker 2>ten pm A New York on Bloomberg Television, or stream

0:38:07.960 --> 0:38:10.120
<v Speaker 2>it at eight pm on Bloomberg Originals.

0:38:18.840 --> 0:38:23.520
<v Speaker 17>Going to have a profound impact on virtually every element

0:38:23.600 --> 0:38:27.000
<v Speaker 17>of the global economies. Obviously some areas more than others.

0:38:27.360 --> 0:38:30.200
<v Speaker 17>There are businesses that will be more vulnerable. If you

0:38:30.320 --> 0:38:33.879
<v Speaker 17>think about lower value add service businesses, maybe a call

0:38:34.000 --> 0:38:37.480
<v Speaker 17>center business, You've got to be cautious. There'll be businesses

0:38:37.760 --> 0:38:41.080
<v Speaker 17>like data centers where we've seen a step function increase

0:38:41.160 --> 0:38:41.680
<v Speaker 17>in demand.

0:38:43.040 --> 0:38:46.320
<v Speaker 2>Backstam president John Gray on the impact, of course of AI,

0:38:46.680 --> 0:38:49.359
<v Speaker 2>and let's stick with it again, artificial intelligence and well,

0:38:49.400 --> 0:38:53.320
<v Speaker 2>the infrastructure that sort of powers it TSMC out with earnings.

0:38:53.760 --> 0:38:56.839
<v Speaker 2>The chip maker is cutting its annual outlook for revenue more.

0:38:56.960 --> 0:39:01.080
<v Speaker 2>Let's bring in Kunjin Sivanni from Bloomberg Intelligence. Well, it

0:39:01.200 --> 0:39:04.000
<v Speaker 2>seemed to me that we had first and foremost a

0:39:04.120 --> 0:39:06.840
<v Speaker 2>high profile executive saying we don't know if AI is

0:39:06.880 --> 0:39:09.680
<v Speaker 2>here to stay, if this frenzy in demand is going

0:39:09.719 --> 0:39:10.279
<v Speaker 2>to be long term.

0:39:12.960 --> 0:39:16.120
<v Speaker 8>Yeah, So I think from TSMC perspective. What the guidance

0:39:16.160 --> 0:39:20.800
<v Speaker 8>suggests that the macroeconomic headwinds, especially demand weakness in China,

0:39:21.200 --> 0:39:23.680
<v Speaker 8>is expected to result in a continued slow down in

0:39:23.760 --> 0:39:27.160
<v Speaker 8>consumer markets like smartphones and PCs, where we are seeing

0:39:27.200 --> 0:39:30.600
<v Speaker 8>a sluggish inventory digestion playing out. On the positive side,

0:39:30.640 --> 0:39:34.040
<v Speaker 8>the AI frenzy driven growth was a positive tailwind, but

0:39:34.280 --> 0:39:37.200
<v Speaker 8>was not enough to offset the global weakness in other markets.

0:39:37.800 --> 0:39:40.480
<v Speaker 2>And remind us, I mean, there was the double whammy

0:39:40.560 --> 0:39:43.600
<v Speaker 2>of perhaps slow down, certainly for consumer based chips, but

0:39:43.640 --> 0:39:46.800
<v Speaker 2>there's also the fact that they're trying to boost supply,

0:39:47.280 --> 0:39:49.759
<v Speaker 2>particularly here in US and Arizona, but they can't get

0:39:49.760 --> 0:39:50.400
<v Speaker 2>the right labor.

0:39:50.520 --> 0:39:54.080
<v Speaker 3>They're seeing spiraling costs. This supply chain issue is clearly

0:39:54.120 --> 0:39:54.560
<v Speaker 3>a headache.

0:39:55.920 --> 0:39:58.840
<v Speaker 8>It definitely is. But you know, the Arizona project is

0:39:58.880 --> 0:40:01.360
<v Speaker 8>again of course come out in the future, so it

0:40:01.440 --> 0:40:05.120
<v Speaker 8>does not impact their supply currently. However, speaking of supply

0:40:05.239 --> 0:40:07.400
<v Speaker 8>and going back to your question about the AI frenzy,

0:40:07.480 --> 0:40:10.759
<v Speaker 8>whether it's short term or not, I think we are

0:40:10.800 --> 0:40:14.120
<v Speaker 8>in the very early, early leaning subgenerative AI cycle. I

0:40:14.200 --> 0:40:16.520
<v Speaker 8>don't think this is a short term frenzy. In fact,

0:40:16.600 --> 0:40:19.759
<v Speaker 8>we are seeing very strong demand and a higher percentage

0:40:19.800 --> 0:40:23.360
<v Speaker 8>of wallets spent in data center and enterprise shift towards AI.

0:40:23.800 --> 0:40:27.880
<v Speaker 8>But what we are limited right now is the supply interesting.

0:40:28.239 --> 0:40:31.360
<v Speaker 2>So would what do you think would give t SMC

0:40:31.560 --> 0:40:35.000
<v Speaker 2>the confidence to see and gain your sort of optimism

0:40:35.480 --> 0:40:37.960
<v Speaker 2>that generator AI is just at its early innings that

0:40:38.000 --> 0:40:41.040
<v Speaker 2>they should be focused on supply that this is ultimately

0:40:41.239 --> 0:40:42.719
<v Speaker 2>demand that steady for the long term.

0:40:43.800 --> 0:40:46.000
<v Speaker 8>I think one would be orders from the chip makers,

0:40:46.040 --> 0:40:48.879
<v Speaker 8>which again translates into the backlocks of the chip maker.

0:40:48.920 --> 0:40:49.800
<v Speaker 13>And we are seeing.

0:40:49.880 --> 0:40:53.360
<v Speaker 8>Significant demand for the AI chip makers, like in media,

0:40:53.560 --> 0:40:56.480
<v Speaker 8>they're having backlog and they're just not able to ship enough.

0:40:56.920 --> 0:40:58.879
<v Speaker 8>So I think that's a good proof point that gives

0:40:58.960 --> 0:41:02.359
<v Speaker 8>TSMC to backup supply and start shipping towards it. But again,

0:41:02.440 --> 0:41:05.360
<v Speaker 8>it doesn't happen over a quarter, so I don't expect

0:41:05.600 --> 0:41:08.439
<v Speaker 8>chip makers in AI to see a significant revenue step

0:41:08.560 --> 0:41:10.879
<v Speaker 8>up quarter over quarter as we saw with in Vida

0:41:10.960 --> 0:41:13.640
<v Speaker 8>last quarter. It will more be a steady growth until

0:41:13.719 --> 0:41:14.920
<v Speaker 8>supply really catch yourself.

0:41:15.560 --> 0:41:18.400
<v Speaker 2>And to that end, do you think that more supply

0:41:18.560 --> 0:41:20.719
<v Speaker 2>will be being based here in the United States? Will

0:41:20.760 --> 0:41:23.200
<v Speaker 2>we see more openings such as Arizona despite the hold.

0:41:23.120 --> 0:41:26.000
<v Speaker 8>Up I'll be shuled. I mean, there might be some

0:41:26.480 --> 0:41:29.880
<v Speaker 8>delay in the timing of the milestones, but we definitely

0:41:29.960 --> 0:41:33.080
<v Speaker 8>don't think it will be postponed or I mean or canceled.

0:41:33.120 --> 0:41:36.000
<v Speaker 8>We definitely will see. And beyond TSMC, we have players

0:41:36.040 --> 0:41:38.960
<v Speaker 8>like Intel right which have announced their foundry strategy and

0:41:39.080 --> 0:41:41.520
<v Speaker 8>are going all in on that, so we'll definitely see

0:41:41.560 --> 0:41:44.719
<v Speaker 8>steps taken in that direction the near term. Gyrations might

0:41:44.800 --> 0:41:46.000
<v Speaker 8>just slow it down and.

0:41:46.080 --> 0:41:49.320
<v Speaker 2>Jen great perspective context. Thank you so much. Conjen Savanni.

0:41:49.320 --> 0:41:53.880
<v Speaker 2>There bloombag Intelligence all Things and the chip and AI sphere. Meanwhile,

0:41:54.400 --> 0:41:56.320
<v Speaker 2>that does it for this edition of Bloombag Technology. Do

0:41:56.440 --> 0:41:58.520
<v Speaker 2>not forget, though, to check out our podcast. You can

0:41:58.600 --> 0:42:00.960
<v Speaker 2>find it on the terminal have one as well as

0:42:01.040 --> 0:42:05.040
<v Speaker 2>online on Apple, Spotify, and iHeart from New York.

0:42:05.600 --> 0:42:06.720
<v Speaker 3>This is pretty bad technology.