WEBVTT - Nvidia Earnings and Twilio's New AI Tool

0:00:01.480 --> 0:00:06.760
<v Speaker 1>From Marhard where Innovations, Money and Power Collie in Silicon Valley, NBN.

0:00:07.080 --> 0:00:11.120
<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

0:00:24.640 --> 0:00:27.160
<v Speaker 2>I'm Caroline Hyde and Bloomberg's world headquarters in New York

0:00:27.680 --> 0:00:29.400
<v Speaker 2>and Ourmed Ludlow in San Francisco.

0:00:29.560 --> 0:00:31.840
<v Speaker 3>This is Bloomberg Technology.

0:00:31.440 --> 0:00:32.760
<v Speaker 4>Coming up in Vidio.

0:00:33.120 --> 0:00:35.559
<v Speaker 2>Boy Knock said out of the park with earnings that

0:00:35.680 --> 0:00:37.000
<v Speaker 2>blow past estimates.

0:00:37.360 --> 0:00:39.960
<v Speaker 4>Shares they're still at that all time high. We'll bring

0:00:39.960 --> 0:00:40.639
<v Speaker 4>you the details.

0:00:41.440 --> 0:00:44.000
<v Speaker 5>Class will have full market coverage and cover the other

0:00:44.040 --> 0:00:47.599
<v Speaker 5>tech names reporting results like Snowflake and China's may Twine,

0:00:47.680 --> 0:00:47.959
<v Speaker 5>and we.

0:00:47.960 --> 0:00:52.000
<v Speaker 2>Talk all things artificial intelligence with CEO's of Twilio and

0:00:52.159 --> 0:00:55.480
<v Speaker 2>Hugging Face. But we start with the AI story that

0:00:55.600 --> 0:00:57.440
<v Speaker 2>is pervasive for the entire.

0:00:57.240 --> 0:00:58.360
<v Speaker 4>Market there and in Vidio.

0:00:58.440 --> 0:01:00.440
<v Speaker 2>Even though it comes off of its highs that we're

0:01:00.440 --> 0:01:02.600
<v Speaker 2>trading what in excess of six percent higher earlier in

0:01:02.640 --> 0:01:04.759
<v Speaker 2>the day, we're still at a record. We're up more

0:01:04.760 --> 0:01:08.880
<v Speaker 2>than one, almost at two percentage points higher. But extraordiny

0:01:08.959 --> 0:01:10.880
<v Speaker 2>where some of these price targets have been moved to

0:01:11.280 --> 0:01:14.520
<v Speaker 2>one one hundred dollars one price target from Rosenblack.

0:01:14.560 --> 0:01:15.920
<v Speaker 4>We're looking at four hundred seventy nine.

0:01:15.920 --> 0:01:18.880
<v Speaker 2>This could still double Edits an amazing set of numbers.

0:01:19.959 --> 0:01:22.120
<v Speaker 5>Yeah, let's get right to the numbers, right. This is

0:01:22.160 --> 0:01:25.480
<v Speaker 5>the third consecutive quarter where Nvidia's guidance for the current

0:01:25.520 --> 0:01:28.440
<v Speaker 5>fiscal quarter was way ahead of expectations.

0:01:28.760 --> 0:01:29.479
<v Speaker 3>Revenue in the.

0:01:29.400 --> 0:01:32.520
<v Speaker 5>Fiscal third will be sixteen billion dollars plus or minus

0:01:32.560 --> 0:01:34.400
<v Speaker 5>two percent, as you see on your screen.

0:01:34.480 --> 0:01:36.280
<v Speaker 3>In the second quarter just gone.

0:01:36.480 --> 0:01:40.000
<v Speaker 5>Data center is everything ten point three billion, way past

0:01:40.040 --> 0:01:42.520
<v Speaker 5>the expectations of almost eight billion. And if you look

0:01:42.560 --> 0:01:44.680
<v Speaker 5>at the commentary Carrow, the growth is coming from the

0:01:44.800 --> 0:01:48.360
<v Speaker 5>United States. It's the hyperscalers in the enterprise company. But

0:01:48.440 --> 0:01:51.320
<v Speaker 5>it was also interesting to note that China accounted for

0:01:51.400 --> 0:01:54.440
<v Speaker 5>twenty to twenty five percent of data center revenue, which

0:01:54.480 --> 0:01:56.360
<v Speaker 5>is well within its historic range.

0:01:56.800 --> 0:01:59.080
<v Speaker 2>I mean, the fact that we're seeing it firing on

0:01:59.160 --> 0:02:01.080
<v Speaker 2>all these cylinders, whether or not we're seeing it at

0:02:01.120 --> 0:02:03.800
<v Speaker 2>being a data center story. I thought what was interesting

0:02:03.800 --> 0:02:06.760
<v Speaker 2>in a Morgan Stanley note just saying the pervasiveness of

0:02:06.840 --> 0:02:09.880
<v Speaker 2>the small companies, small cloud providers that want to be

0:02:09.919 --> 0:02:12.680
<v Speaker 2>in on an AI, not just the huge hyperscalers as well.

0:02:12.760 --> 0:02:15.480
<v Speaker 5>Yes, it's a really good point because for example, AMD,

0:02:15.600 --> 0:02:19.000
<v Speaker 5>a competitor, right opened up two percent in this morning's open.

0:02:19.040 --> 0:02:21.720
<v Speaker 5>It's now down almost eight percent, a swing of ten percent.

0:02:22.080 --> 0:02:25.600
<v Speaker 5>The market sees yields rising ahead of Jackson Hole, but

0:02:25.720 --> 0:02:28.440
<v Speaker 5>how much of that is the strength in response on Nvidia?

0:02:28.720 --> 0:02:31.320
<v Speaker 5>You know they are direct competitors for GPUs in the

0:02:31.360 --> 0:02:34.560
<v Speaker 5>service space. In Vidia, You're right, it's off session highs.

0:02:34.639 --> 0:02:37.640
<v Speaker 5>What's so interesting in that Morgan Stanley note, By Morgan

0:02:37.720 --> 0:02:40.920
<v Speaker 5>Stanley's estimation, in Vidia is only meeting fifty percent of

0:02:40.960 --> 0:02:43.320
<v Speaker 5>the demand that's out there. So when they talk up

0:02:43.320 --> 0:02:46.560
<v Speaker 5>supply improving as well, it gives confidence that the outlook

0:02:46.680 --> 0:02:47.720
<v Speaker 5>longer term is strong.

0:02:47.919 --> 0:02:49.880
<v Speaker 2>And I think you've raised this point and it's one

0:02:50.120 --> 0:02:53.880
<v Speaker 2>worth dwelling on the analyst reaction the price targets one

0:02:53.919 --> 0:02:56.040
<v Speaker 2>after another being raised or.

0:02:56.080 --> 0:02:59.919
<v Speaker 4>No single sell on this stock. Just look at that graphic.

0:03:00.960 --> 0:03:04.040
<v Speaker 5>Values tripled beyond three a trillion dollars of market cap.

0:03:04.120 --> 0:03:07.280
<v Speaker 5>The final sell final analyst throwed in through in the

0:03:07.280 --> 0:03:09.639
<v Speaker 5>tow which was morning Star really quick. They did give

0:03:09.720 --> 0:03:12.240
<v Speaker 5>us a note of caution and said on China that

0:03:12.400 --> 0:03:16.000
<v Speaker 5>even if US technology export restrictions are increased in the

0:03:16.040 --> 0:03:18.880
<v Speaker 5>near term, there won't be an immediate effect, why because

0:03:18.919 --> 0:03:21.560
<v Speaker 5>demand around the world for the HGX server designs is

0:03:21.600 --> 0:03:26.360
<v Speaker 5>so great. But long term they called it basically the

0:03:26.480 --> 0:03:29.320
<v Speaker 5>removal of opportunity and what is the world's key market

0:03:29.639 --> 0:03:32.560
<v Speaker 5>for data center and also electronics, So China is a

0:03:32.560 --> 0:03:33.320
<v Speaker 5>long term question.

0:03:33.400 --> 0:03:35.640
<v Speaker 2>Yeah, yeah, and is for armholdings as we approach that

0:03:35.640 --> 0:03:38.320
<v Speaker 2>particular IPO, and it is for this particular company as well,

0:03:38.360 --> 0:03:39.680
<v Speaker 2>the exposure to the demand there.

0:03:40.600 --> 0:03:40.920
<v Speaker 3>Yeah.

0:03:41.000 --> 0:03:42.520
<v Speaker 5>Well, we got the numbers out the way, but I

0:03:42.560 --> 0:03:45.040
<v Speaker 5>think we have to look forward. Let's bring in JP Scandalios,

0:03:45.040 --> 0:03:48.160
<v Speaker 5>Franklin Equity Group portfolio manager one hundred and twenty five

0:03:48.160 --> 0:03:50.640
<v Speaker 5>billion dollars in assets, and you guys hold and video

0:03:51.000 --> 0:03:53.560
<v Speaker 5>across multiple funds. Let's just start with the simple question,

0:03:53.880 --> 0:03:55.360
<v Speaker 5>what was your take from this?

0:03:55.400 --> 0:03:57.160
<v Speaker 3>In Nvidia earnings print.

0:03:57.480 --> 0:04:00.600
<v Speaker 6>Certainly and thank you for having me. As you guys

0:04:00.640 --> 0:04:03.120
<v Speaker 6>alluded to, you went through the numbers that kind of growth,

0:04:03.160 --> 0:04:06.400
<v Speaker 6>we just we just don't see eighty eight percent sequential

0:04:06.440 --> 0:04:10.040
<v Speaker 6>growth and one hundred and forty one percent quench growth

0:04:10.040 --> 0:04:12.840
<v Speaker 6>in that all important data center business that you referenced,

0:04:12.840 --> 0:04:17.000
<v Speaker 6>which is now seventy six percent of total revenues five

0:04:17.080 --> 0:04:19.320
<v Speaker 6>ten years ago, and I've been covering the group for

0:04:19.320 --> 0:04:20.719
<v Speaker 6>about thirty years.

0:04:21.160 --> 0:04:22.039
<v Speaker 3>Five ten years.

0:04:21.839 --> 0:04:23.960
<v Speaker 6>Ago in the video was a gaming company and now,

0:04:24.000 --> 0:04:27.520
<v Speaker 6>as you said, it's all about data center. So there's

0:04:27.520 --> 0:04:33.719
<v Speaker 6>two things here, right, fundamentals outstanding, huge beat huge rays.

0:04:33.760 --> 0:04:36.080
<v Speaker 6>It's like The Godfather too, the sequel was as good

0:04:36.160 --> 0:04:40.800
<v Speaker 6>as the predecessor. So nothing there, and I think Abigail

0:04:40.839 --> 0:04:44.120
<v Speaker 6>alluded to it. There was a lot of you if

0:04:44.120 --> 0:04:46.520
<v Speaker 6>you had been paying attention, I'm sure you were during

0:04:46.560 --> 0:04:51.120
<v Speaker 6>the quarter. Expectations we're so so high, and there's a

0:04:51.160 --> 0:04:54.800
<v Speaker 6>lot of people who get uncomfortable with parabolic growth like this.

0:04:55.480 --> 0:04:59.120
<v Speaker 6>We're much more comfortable on Wall Street with steady or

0:04:59.560 --> 0:05:03.640
<v Speaker 6>linear growth, and this kind of growth. People optically right

0:05:03.640 --> 0:05:06.960
<v Speaker 6>away say well, this can't continue, and certainly there is

0:05:07.000 --> 0:05:09.960
<v Speaker 6>a law of large numbers. But they are so well

0:05:10.000 --> 0:05:16.919
<v Speaker 6>positioned for the foreseeable future. I suspect fundamentals will remain

0:05:17.000 --> 0:05:19.880
<v Speaker 6>very strong, and ed you mentioned it, they conveyed that

0:05:19.920 --> 0:05:22.880
<v Speaker 6>they're getting additional capacity and they have more demand than

0:05:22.920 --> 0:05:24.239
<v Speaker 6>they know than they can address.

0:05:24.560 --> 0:05:28.680
<v Speaker 2>I'm interested more broadly with the fact that the competition.

0:05:29.040 --> 0:05:31.400
<v Speaker 2>Is this why we're seeing the likes of MD fall off.

0:05:31.440 --> 0:05:33.560
<v Speaker 2>Are people feeling that really this is the winner that

0:05:33.640 --> 0:05:36.320
<v Speaker 2>takes all or is that more a sign of market

0:05:36.360 --> 0:05:37.960
<v Speaker 2>and gyrations that's happening on the day.

0:05:38.960 --> 0:05:40.239
<v Speaker 7>I think it's the former.

0:05:40.400 --> 0:05:41.520
<v Speaker 8>I think.

0:05:42.880 --> 0:05:46.719
<v Speaker 6>Lisas who has done an excellent job at AMD, and

0:05:46.760 --> 0:05:50.400
<v Speaker 6>I think AMD, given their limited resources, went after the

0:05:50.480 --> 0:05:53.560
<v Speaker 6>CPU and especially the data center CPU market first, and

0:05:53.600 --> 0:05:56.560
<v Speaker 6>they're doing really nicely. They're a relative to Intel, especially

0:05:56.600 --> 0:05:58.960
<v Speaker 6>when you compare it to again five or ten years ago.

0:05:59.839 --> 0:06:02.880
<v Speaker 6>I think now they've just gotten with their I three hundred.

0:06:03.279 --> 0:06:08.080
<v Speaker 6>They're coming into the data center GPU market and the

0:06:08.200 --> 0:06:11.600
<v Speaker 6>issue is can they gain some share? And I think

0:06:11.600 --> 0:06:15.159
<v Speaker 6>there was some expectation throughout the quarter as that product

0:06:15.240 --> 0:06:17.960
<v Speaker 6>comes to market that they would gain share. They're not,

0:06:18.120 --> 0:06:20.040
<v Speaker 6>you know, the killer of Nvidia, but they're going to

0:06:20.080 --> 0:06:22.839
<v Speaker 6>gain some share. And I think with such strong results

0:06:22.839 --> 0:06:25.880
<v Speaker 6>from Nvidia, and not just the results but the guidance

0:06:25.920 --> 0:06:29.040
<v Speaker 6>of course, but also their product lineup, they're just canvassing

0:06:29.160 --> 0:06:33.880
<v Speaker 6>between inferencing and training, between the networking on the Finneban

0:06:34.040 --> 0:06:36.800
<v Speaker 6>side and Ethernet that I think some investors who are

0:06:36.800 --> 0:06:39.599
<v Speaker 6>saying this is going to be a real uphill battle

0:06:40.520 --> 0:06:43.280
<v Speaker 6>climb for AMD, that'd be my guess.

0:06:43.400 --> 0:06:45.760
<v Speaker 2>I mean, and it feels as though many a betting

0:06:45.760 --> 0:06:48.200
<v Speaker 2>in video is the only picks and shovels out there

0:06:48.200 --> 0:06:51.320
<v Speaker 2>at the moment, but only from a product perspective of offering,

0:06:51.360 --> 0:06:53.760
<v Speaker 2>but just the breadth of where their customers are coming from.

0:06:54.160 --> 0:06:56.480
<v Speaker 5>That's why the level of Intel's so key. Caroline right,

0:06:56.520 --> 0:06:59.000
<v Speaker 5>just I'm really sorry to interrupt JP. Just point out

0:06:59.040 --> 0:07:01.840
<v Speaker 5>one thing, you know, loads analysts ask collect cress, give

0:07:01.920 --> 0:07:04.880
<v Speaker 5>us detail which product, right, is it H one hundred.

0:07:04.920 --> 0:07:08.400
<v Speaker 5>It's broadly HGX server tip right, And I think Jensen

0:07:08.400 --> 0:07:10.440
<v Speaker 5>made the point that, you know, H one hundred is

0:07:10.480 --> 0:07:13.560
<v Speaker 5>not just a single chip, it has a trillion transistors

0:07:13.800 --> 0:07:15.920
<v Speaker 5>in combination. You don't just sort of hand it over

0:07:16.280 --> 0:07:18.880
<v Speaker 5>to the customers. But did you hear enough from them

0:07:19.120 --> 0:07:22.440
<v Speaker 5>that the pipeline of future products maintains that technology lead?

0:07:22.520 --> 0:07:24.360
<v Speaker 8>JP? You know I did.

0:07:24.440 --> 0:07:27.600
<v Speaker 6>I think HGX is just getting started, right, and Grace

0:07:27.920 --> 0:07:31.960
<v Speaker 6>on its own, and Grace Hopper CPUGPU combination is just

0:07:32.040 --> 0:07:37.200
<v Speaker 6>coming to market now. There are Ethernet product Spectrum just

0:07:37.240 --> 0:07:41.160
<v Speaker 6>coming to market, Bluefield their DPU Bluefield three kind of

0:07:41.320 --> 0:07:43.920
<v Speaker 6>just getting going. And then you add on top of

0:07:43.920 --> 0:07:48.200
<v Speaker 6>that all their software offerings. So yes, I don't think

0:07:48.240 --> 0:07:50.640
<v Speaker 6>this was like, Okay, that's the game over and now

0:07:50.720 --> 0:07:53.720
<v Speaker 6>time to move on. And Carolyn brings up a great point.

0:07:54.200 --> 0:07:59.160
<v Speaker 6>To some degree, there's just not many AI companies, especially

0:07:59.200 --> 0:08:06.280
<v Speaker 6>generated A companies that are monetizing this robust trend today,

0:08:06.400 --> 0:08:08.920
<v Speaker 6>and so there is a scarcity value there.

0:08:10.480 --> 0:08:10.720
<v Speaker 8>JP.

0:08:10.840 --> 0:08:12.400
<v Speaker 5>I think we need to look at what collect Cress

0:08:12.480 --> 0:08:15.480
<v Speaker 5>had to say about China long term that if you

0:08:15.520 --> 0:08:20.000
<v Speaker 5>know US X technology export controls are in place long term,

0:08:20.080 --> 0:08:23.480
<v Speaker 5>she's calling it a lots of opportunity in that market

0:08:23.520 --> 0:08:28.000
<v Speaker 5>the US semiconductor maker is how seriously do you take

0:08:28.040 --> 0:08:28.560
<v Speaker 5>that warning?

0:08:29.400 --> 0:08:32.440
<v Speaker 6>I take it very seriously. I've done several meetings with

0:08:32.520 --> 0:08:35.679
<v Speaker 6>in a podcast with Chris Miller, who wrote the book

0:08:35.960 --> 0:08:42.240
<v Speaker 6>Chapurs that has often cited, and there's public funds we

0:08:42.320 --> 0:08:47.040
<v Speaker 6>own GSMC as well. It's one of my major concerns

0:08:47.160 --> 0:08:52.240
<v Speaker 6>just because very difficult to analyze the political back and

0:08:52.280 --> 0:08:56.200
<v Speaker 6>forth between China and the US and how far our

0:08:56.240 --> 0:08:58.679
<v Speaker 6>government will go and how far their government will go.

0:08:59.200 --> 0:09:02.480
<v Speaker 6>And so to your point, I try to address it

0:09:02.559 --> 0:09:06.840
<v Speaker 6>with adjusting my terminal growth rate, because as you say,

0:09:07.120 --> 0:09:11.600
<v Speaker 6>if you take out that economy and that market, certainly

0:09:11.640 --> 0:09:15.760
<v Speaker 6>it will be a lower terminal growth rate over time,

0:09:15.840 --> 0:09:19.120
<v Speaker 6>and it's just a we will see what happens, but

0:09:19.880 --> 0:09:22.520
<v Speaker 6>certainly something to follow, as if we don't have enough

0:09:22.520 --> 0:09:26.000
<v Speaker 6>to follow. In the semiconductor industry, another thing to watch

0:09:26.080 --> 0:09:27.160
<v Speaker 6>very closely.

0:09:27.000 --> 0:09:27.640
<v Speaker 4>Well said.

0:09:27.840 --> 0:09:30.960
<v Speaker 2>One thing that many an investor was following was the

0:09:30.960 --> 0:09:36.199
<v Speaker 2>buyback enormous Where else could they should they be allocating

0:09:36.240 --> 0:09:38.600
<v Speaker 2>that money at these sorts of price points to be

0:09:38.679 --> 0:09:40.719
<v Speaker 2>buying back their stock? Is it because they believe the

0:09:40.760 --> 0:09:43.160
<v Speaker 2>stock has got yet further to run, as some analysts do.

0:09:43.520 --> 0:09:44.640
<v Speaker 4>Why not more in R and D?

0:09:46.280 --> 0:09:48.480
<v Speaker 6>So they spend they already spend a lot hot well,

0:09:48.640 --> 0:09:51.080
<v Speaker 6>a tremendous amount in R and D, And so I'm

0:09:51.080 --> 0:09:55.160
<v Speaker 6>willing to give them a pass there if you will.

0:09:56.080 --> 0:09:58.880
<v Speaker 6>I think what it says. One thing it says is

0:10:00.400 --> 0:10:03.800
<v Speaker 6>M and A again going back to China, that M

0:10:03.840 --> 0:10:05.520
<v Speaker 6>and A is going to be very difficult to get

0:10:05.520 --> 0:10:10.480
<v Speaker 6>approved through all these regulatory bodies. And so you turn

0:10:10.520 --> 0:10:11.880
<v Speaker 6>around and you say, well, what else can we do

0:10:11.960 --> 0:10:13.920
<v Speaker 6>with it? Well, we have four billion left in our

0:10:13.960 --> 0:10:16.360
<v Speaker 6>buy back. Let's add twenty five billion to that. I

0:10:16.400 --> 0:10:18.480
<v Speaker 6>think it's sending a message to the market that they're

0:10:18.600 --> 0:10:21.880
<v Speaker 6>very comfortable even at these prices, that their prospects are

0:10:21.920 --> 0:10:25.920
<v Speaker 6>so strong and they outlook so positive that they're willing

0:10:25.960 --> 0:10:29.080
<v Speaker 6>to buy back their shares, And you're right. It's again,

0:10:29.240 --> 0:10:34.440
<v Speaker 6>it's like the results. The sticker tag is a massive number,

0:10:34.720 --> 0:10:36.960
<v Speaker 6>but you're talking about a one point one trillion dollar

0:10:37.040 --> 0:10:39.400
<v Speaker 6>market cap company. So at the end of the day,

0:10:39.480 --> 0:10:42.160
<v Speaker 6>the number of shares that they'll actually buy back, it's

0:10:42.200 --> 0:10:44.600
<v Speaker 6>great to see, don't get me wrong, but put it

0:10:44.600 --> 0:10:47.400
<v Speaker 6>in a little context, I guess, yeah, hey.

0:10:47.240 --> 0:10:49.360
<v Speaker 5>I have the stocks undervalue, or they got nothing to

0:10:49.400 --> 0:10:52.560
<v Speaker 5>spend on JP scandalios the Frank collectority. Great to have

0:10:52.600 --> 0:10:53.760
<v Speaker 5>you here on bloem. It's analogy.

0:11:01.280 --> 0:11:04.760
<v Speaker 2>So further news, regarding, of course, the plane crash that

0:11:04.800 --> 0:11:09.280
<v Speaker 2>presumably killed the Wagner founder Progosion, we're hearing from Putin

0:11:09.360 --> 0:11:14.680
<v Speaker 2>himself saying an investigation into Progosion's death will be completed. Overall,

0:11:14.960 --> 0:11:18.680
<v Speaker 2>he's saying overall that there are concerns and indeed an

0:11:18.760 --> 0:11:22.840
<v Speaker 2>investigation will be completed, expressing condonencis over the Progosion jet

0:11:22.880 --> 0:11:26.160
<v Speaker 2>crash and saying he was a talented man and a businessman.

0:11:26.840 --> 0:11:28.760
<v Speaker 4>More on that global news throughout the day.

0:11:28.800 --> 0:11:32.000
<v Speaker 2>But meanwhile, let's just return to technology and China's mag

0:11:32.080 --> 0:11:35.600
<v Speaker 2>one in particular seeing its fastest pace of sales growth

0:11:35.760 --> 0:11:37.720
<v Speaker 2>two years. That's like it's a large part to a

0:11:37.760 --> 0:11:40.800
<v Speaker 2>rebound in dining, in travel demand. Bloomberg's Isabel Lee is

0:11:40.840 --> 0:11:43.600
<v Speaker 2>here with more and for many that's a hard thing

0:11:43.640 --> 0:11:46.240
<v Speaker 2>to swallow around all the narrative that China is slowing,

0:11:46.320 --> 0:11:49.000
<v Speaker 2>the consumers weak, the housing crisis, the wealth crisis.

0:11:49.520 --> 0:11:52.079
<v Speaker 1>It's kind of a good report and it takes some

0:11:52.160 --> 0:11:55.680
<v Speaker 1>analysis because yes, the Chinese economy is slowing down, but

0:11:55.760 --> 0:11:58.880
<v Speaker 1>because it's slowing down, consumers are shying away from big

0:11:58.880 --> 0:12:02.200
<v Speaker 1>ticket items expensive so far something like that, and they're

0:12:02.679 --> 0:12:05.840
<v Speaker 1>leaning more into the little pleasures of eating out or traveling.

0:12:05.880 --> 0:12:08.600
<v Speaker 1>May to One is a giant in the delivery business,

0:12:08.640 --> 0:12:12.520
<v Speaker 1>and this bounce back and travel and eating out really

0:12:12.760 --> 0:12:16.439
<v Speaker 1>help its earnings dis quarter, especially after the COVID pandemic

0:12:16.440 --> 0:12:19.280
<v Speaker 1>when we know that China had years of stringent lockdowns.

0:12:19.320 --> 0:12:22.959
<v Speaker 1>So salesloras are better than expected at thirty three percent

0:12:23.160 --> 0:12:26.920
<v Speaker 1>and may to One swung from an operating loss earlier

0:12:27.679 --> 0:12:30.440
<v Speaker 1>a year earlier to an operating profit. So it's really

0:12:30.640 --> 0:12:33.520
<v Speaker 1>good news for this report. But again we also focus

0:12:33.559 --> 0:12:36.040
<v Speaker 1>on the outlook and the outlook is kind of shaky.

0:12:36.280 --> 0:12:40.480
<v Speaker 1>Investors are saying that, you know, maybe we won't see

0:12:40.480 --> 0:12:41.280
<v Speaker 1>the same growth.

0:12:41.400 --> 0:12:42.920
<v Speaker 4>We are expecting a slowdown.

0:12:43.240 --> 0:12:45.520
<v Speaker 1>So it's still kind of a double edged sword when

0:12:45.520 --> 0:12:47.840
<v Speaker 1>it comes to these Chinese companies, But for now it's

0:12:48.120 --> 0:12:49.440
<v Speaker 1>kind of good news, so we'll take it.

0:12:50.320 --> 0:12:52.840
<v Speaker 5>Yeah, there's so much analogous with this May to One

0:12:52.880 --> 0:12:55.800
<v Speaker 5>report and what we saw really playing up AI as well,

0:12:56.040 --> 0:12:59.119
<v Speaker 5>while the macro conditions improve our big banks. To Bloomberg's

0:12:59.200 --> 0:13:01.839
<v Speaker 5>Isabel Lee out in New York, another company we are watching,

0:13:01.880 --> 0:13:06.840
<v Speaker 5>Cloud Software provide a snowflake displaying signs of caution after

0:13:06.920 --> 0:13:08.920
<v Speaker 5>its sales out looked for the third quarter came in

0:13:08.960 --> 0:13:12.559
<v Speaker 5>line with expectations. Bloomberg's Brodie Ford has everything on the

0:13:12.600 --> 0:13:14.959
<v Speaker 5>software beat. Bradie, what's the story with Snowflake.

0:13:15.400 --> 0:13:18.320
<v Speaker 9>Snowflake's one of those really interesting companies where it was

0:13:18.400 --> 0:13:21.120
<v Speaker 9>just growing like crazy a year or two. We're talking,

0:13:21.200 --> 0:13:24.000
<v Speaker 9>you know, doubling every year in terms of revenue. But

0:13:24.120 --> 0:13:26.679
<v Speaker 9>of course, like every other software company out there, I

0:13:26.760 --> 0:13:29.080
<v Speaker 9>hit this point where all of its customers said, WHOA,

0:13:29.280 --> 0:13:30.520
<v Speaker 9>our budgets with you have.

0:13:30.559 --> 0:13:33.079
<v Speaker 8>Grown insanely and so what's really.

0:13:32.960 --> 0:13:35.800
<v Speaker 9>Been hitting Snowflake is something that's been hitting AWS or

0:13:35.800 --> 0:13:39.200
<v Speaker 9>Microsoft Azure is that their customers are saying, how can

0:13:39.240 --> 0:13:41.640
<v Speaker 9>we trim our bill a little bit? And that's really

0:13:41.679 --> 0:13:45.360
<v Speaker 9>what's been impacting Snowflake. You know, they're still growing pretty heavily, right,

0:13:45.360 --> 0:13:48.400
<v Speaker 9>I mean we're talking like about around thirty percent revenue growth,

0:13:48.880 --> 0:13:51.120
<v Speaker 9>but at the end of the day, they're really having

0:13:51.200 --> 0:13:53.560
<v Speaker 9>trouble with those big customers because they want to trim

0:13:53.559 --> 0:13:54.200
<v Speaker 9>their budgets.

0:13:54.920 --> 0:13:58.920
<v Speaker 2>It's interesting reading through the analyst reactions and Barkley is saying, look,

0:13:58.960 --> 0:14:01.240
<v Speaker 2>after two quarters of life, we're down your guidance. The

0:14:01.280 --> 0:14:04.679
<v Speaker 2>fact that's unchanged, yep, it is actually a pretty good sign.

0:14:04.800 --> 0:14:06.480
<v Speaker 2>Why are we there for seeing a set off? Why

0:14:06.480 --> 0:14:10.239
<v Speaker 2>are people seeing more caution around this than optimism instability?

0:14:10.720 --> 0:14:12.920
<v Speaker 8>It's a good question because there's a funny dynamic.

0:14:13.280 --> 0:14:16.600
<v Speaker 9>Where as you said, it's stabilized, and that's what Amazon said,

0:14:16.640 --> 0:14:18.920
<v Speaker 9>and people loved it. They said, Okay, it's not getting worse,

0:14:18.960 --> 0:14:21.640
<v Speaker 9>but it's stabilized. I think people just want to see

0:14:21.640 --> 0:14:25.000
<v Speaker 9>a reacceleration. But something very funny that happened last night

0:14:25.160 --> 0:14:26.360
<v Speaker 9>is the results came out.

0:14:26.440 --> 0:14:28.000
<v Speaker 8>People said that I don't know about this.

0:14:28.200 --> 0:14:31.600
<v Speaker 9>They were selling off then in video hit in vidio hit,

0:14:31.720 --> 0:14:34.520
<v Speaker 9>and they had an insane result, and everyone said, oh man,

0:14:34.560 --> 0:14:36.200
<v Speaker 9>I mean that's a good sign for AI.

0:14:36.360 --> 0:14:38.640
<v Speaker 8>And you know what, Snowflake, they'll use that for AI.

0:14:38.800 --> 0:14:39.600
<v Speaker 8>So it's all good.

0:14:39.640 --> 0:14:42.280
<v Speaker 9>And so there's a lot of different factors here. Investors

0:14:42.280 --> 0:14:44.920
<v Speaker 9>want to see growth come back, but sometimes this AI

0:14:45.040 --> 0:14:48.000
<v Speaker 9>demand might be enough to bring Snowflake up with everybody else.

0:14:49.040 --> 0:14:53.120
<v Speaker 5>Brady just having a great time after the ending spread track.

0:14:53.000 --> 0:14:53.720
<v Speaker 3>In the aftermark.

0:14:53.760 --> 0:14:56.560
<v Speaker 5>I mean, to your point, we opened four percent higher

0:14:56.600 --> 0:14:58.560
<v Speaker 5>in this morning session of Snowflake, we're down three and

0:14:58.560 --> 0:15:01.400
<v Speaker 5>a half percent and one point down, a big swing.

0:15:01.520 --> 0:15:04.160
<v Speaker 5>A lot of that is the market broadly. Snowflake is

0:15:04.200 --> 0:15:07.360
<v Speaker 5>like this layer on top of the hyper scalers, right

0:15:07.400 --> 0:15:09.280
<v Speaker 5>on top of cloud, and they've been trying to tell

0:15:09.320 --> 0:15:12.680
<v Speaker 5>an AI story that the market wants to make sense of.

0:15:12.800 --> 0:15:14.000
<v Speaker 3>Have you made sense of it?

0:15:14.520 --> 0:15:16.720
<v Speaker 9>So yeah, there's an interesting thing. Where As you said,

0:15:16.760 --> 0:15:20.280
<v Speaker 9>Snowflake is a company that helps people organize their data

0:15:20.320 --> 0:15:22.080
<v Speaker 9>and prepare it for multiple uses.

0:15:22.400 --> 0:15:23.960
<v Speaker 8>One of those uses could be AI.

0:15:24.680 --> 0:15:27.560
<v Speaker 9>Of course, every company that's back end data management right

0:15:27.560 --> 0:15:28.520
<v Speaker 9>now is saying, hey.

0:15:28.400 --> 0:15:30.040
<v Speaker 8>Hey, we'll help you with AI. Don't worry.

0:15:30.080 --> 0:15:32.200
<v Speaker 9>We got you, And I think a lot of investors

0:15:32.200 --> 0:15:34.920
<v Speaker 9>are saying, well, you can't all do this, And so

0:15:34.960 --> 0:15:36.840
<v Speaker 9>that's kind of the question with Snowflake, right, I mean,

0:15:36.880 --> 0:15:39.640
<v Speaker 9>do they have a really unique positioning as it relates

0:15:39.680 --> 0:15:40.120
<v Speaker 9>to AI.

0:15:40.760 --> 0:15:43.760
<v Speaker 8>Some people say they do. Some others would say no, no, no,

0:15:43.800 --> 0:15:45.800
<v Speaker 8>we'll do it instead. So I think the jury is

0:15:45.840 --> 0:15:47.080
<v Speaker 8>still all out on who really will be.

0:15:47.120 --> 0:15:50.440
<v Speaker 9>Able to own this data organizational business as it relates

0:15:50.440 --> 0:15:53.400
<v Speaker 9>to AI and training large language models, the.

0:15:53.320 --> 0:15:54.040
<v Speaker 4>Pigs and shovels.

0:15:54.080 --> 0:15:56.160
<v Speaker 2>The infrastructure is well and truly owned by one, but

0:15:56.360 --> 0:15:58.400
<v Speaker 2>it feels as though the rest of being scribbled over

0:15:58.440 --> 0:16:01.560
<v Speaker 2>when it comes to the software application prodi forward brilliant,

0:16:01.640 --> 0:16:03.800
<v Speaker 2>Thank you so much. Meanwhile, coming up, look the impact

0:16:03.800 --> 0:16:06.200
<v Speaker 2>of the SEC's crypto crackdown on one of the oldest

0:16:06.240 --> 0:16:07.600
<v Speaker 2>digital asset exchanges.

0:16:08.440 --> 0:16:11.400
<v Speaker 4>All the details next from San Francisco. I'm from New York.

0:16:11.640 --> 0:16:24.560
<v Speaker 10>I'm sprinkling in Washington. This is bringing back technology.

0:16:32.600 --> 0:16:33.760
<v Speaker 3>Time for talking tech.

0:16:33.840 --> 0:16:38.040
<v Speaker 5>First up, Walmart is planning its longest distance drone deliveries

0:16:38.120 --> 0:16:40.680
<v Speaker 5>yet by teaming up with Alphabet's Wing. It's going to

0:16:40.720 --> 0:16:43.520
<v Speaker 5>be at two Dallas areas stores. They've got FDA approval

0:16:43.800 --> 0:16:46.800
<v Speaker 5>to drop off food and other household essentials as far

0:16:46.880 --> 0:16:50.680
<v Speaker 5>as six miles away from that store and vin Fast Auto.

0:16:50.760 --> 0:16:53.480
<v Speaker 5>It is seeing a head scratching surge, giving the money

0:16:53.480 --> 0:16:57.680
<v Speaker 5>losing ev startup a bigger market cap this time than

0:16:57.800 --> 0:17:01.400
<v Speaker 5>City Group. By the way, fame shortshare seller Jim Chainos

0:17:01.480 --> 0:17:06.160
<v Speaker 5>is even calling the stocks valuation quote insane. Plus Bitstamp,

0:17:06.240 --> 0:17:10.240
<v Speaker 5>one of the oldest digital asset exchanges, will discontinue staking

0:17:10.320 --> 0:17:14.160
<v Speaker 5>services in the US following a crackdown on their products

0:17:14.160 --> 0:17:18.399
<v Speaker 5>by the SEC. The move takes effect on September twenty fifth.

0:17:18.440 --> 0:17:22.200
<v Speaker 2>Caroline all eyes of course on that story and let's

0:17:22.240 --> 0:17:26.040
<v Speaker 2>just dwell on it Frommtionnani Basek is here for more

0:17:26.080 --> 0:17:28.439
<v Speaker 2>on that latest story and what's the read from market

0:17:28.440 --> 0:17:28.719
<v Speaker 2>on it.

0:17:29.119 --> 0:17:30.639
<v Speaker 11>The region of the market is that this is just

0:17:30.680 --> 0:17:33.720
<v Speaker 11>another player here that you're seeing not able to engage

0:17:33.720 --> 0:17:36.480
<v Speaker 11>in the staking service when we are watching a coinbase

0:17:36.720 --> 0:17:39.600
<v Speaker 11>clearly fight the issue, and we've seen the volatility kind

0:17:39.600 --> 0:17:41.240
<v Speaker 11>of a hover over the market when it comes to

0:17:41.359 --> 0:17:44.000
<v Speaker 11>of course, this means more for ethereum than it does

0:17:44.080 --> 0:17:45.119
<v Speaker 11>for say Bitcoin.

0:17:45.600 --> 0:17:47.960
<v Speaker 4>However, without staking.

0:17:47.600 --> 0:17:50.520
<v Speaker 11>You don't have that proof of stake model working out

0:17:51.040 --> 0:17:54.240
<v Speaker 11>the way that the market was so excited for. Remember

0:17:54.240 --> 0:17:57.240
<v Speaker 11>the exuberants that surrounded this kind of new model that

0:17:57.400 --> 0:18:00.480
<v Speaker 11>was supposed to be less energy dependent than the mining history,

0:18:00.560 --> 0:18:04.040
<v Speaker 11>that was supposed to potentially have more favorable economics for

0:18:04.160 --> 0:18:07.200
<v Speaker 11>a wider array of people, given that the control would

0:18:07.200 --> 0:18:09.760
<v Speaker 11>be changing in terms of the way that it is

0:18:09.800 --> 0:18:12.720
<v Speaker 11>held over time. So a lot of questions for the

0:18:12.720 --> 0:18:16.359
<v Speaker 11>model itself. But remember coinbase has been still sticking to

0:18:16.480 --> 0:18:19.880
<v Speaker 11>the staking model. While we have seen now Kraken as

0:18:19.920 --> 0:18:21.720
<v Speaker 11>well as Bitsdams start to throw on a towel.

0:18:22.600 --> 0:18:25.000
<v Speaker 5>The other piece of news than headlines that we've seen

0:18:25.000 --> 0:18:27.800
<v Speaker 5>across this morning is FTX court filings. What's the latest

0:18:27.800 --> 0:18:28.800
<v Speaker 5>with FTX Shanami.

0:18:28.880 --> 0:18:31.040
<v Speaker 11>Now, this is really interesting because you were watching them

0:18:31.080 --> 0:18:34.199
<v Speaker 11>look to Galaxy. Remember this is still a bankruptcy process

0:18:34.240 --> 0:18:37.280
<v Speaker 11>in which the FTX and John Jay had John Ray

0:18:37.320 --> 0:18:40.880
<v Speaker 11>I'm sorry, had looked over and looked to Galaxy Asset Management.

0:18:40.920 --> 0:18:42.640
<v Speaker 11>This is a business run by a fellow named Steve

0:18:42.760 --> 0:18:46.879
<v Speaker 11>Kerz that would oversee a certain amount of assets. What

0:18:47.160 --> 0:18:50.320
<v Speaker 11>happens from here, so a certain amount of these assets

0:18:50.440 --> 0:18:53.800
<v Speaker 11>will be essentially liquidated and sold so that they could

0:18:53.800 --> 0:18:57.720
<v Speaker 11>shore up money to pay the creditors back over at FTX.

0:18:58.359 --> 0:19:00.880
<v Speaker 11>There is a fee that Galaxy would take, although from

0:19:00.920 --> 0:19:04.320
<v Speaker 11>now until the court approval, things could definitely change from here.

0:19:04.640 --> 0:19:06.880
<v Speaker 11>But there is an aspect of this as well where

0:19:06.920 --> 0:19:08.679
<v Speaker 11>they don't want to get rid of that bitcoin and

0:19:08.720 --> 0:19:11.320
<v Speaker 11>ether right away as well because the value in the

0:19:11.359 --> 0:19:13.520
<v Speaker 11>price could change. So while a certain number of these

0:19:13.520 --> 0:19:15.960
<v Speaker 11>tokens can be sold into the market, there will be

0:19:15.960 --> 0:19:18.800
<v Speaker 11>a number here that are going to be held managed

0:19:18.840 --> 0:19:21.480
<v Speaker 11>and hedged in order to maintain the most value for

0:19:21.480 --> 0:19:21.879
<v Speaker 11>the firm.

0:19:22.440 --> 0:19:25.639
<v Speaker 2>Remind us there have been some credits of frustrations, to

0:19:25.680 --> 0:19:28.280
<v Speaker 2>say the least, about the fear that they were losing

0:19:28.280 --> 0:19:30.240
<v Speaker 2>money because some of these assets weren't being.

0:19:30.119 --> 0:19:31.880
<v Speaker 4>Sold off in a meticulous amount.

0:19:32.080 --> 0:19:34.000
<v Speaker 11>Yeah, and the idea here is that they would give

0:19:34.040 --> 0:19:36.000
<v Speaker 11>it to somebody who would have the ability to manage

0:19:36.040 --> 0:19:38.000
<v Speaker 11>these assets in the most profitable way. At the end

0:19:38.000 --> 0:19:40.800
<v Speaker 11>of the day, remember time value of money. If you're

0:19:40.840 --> 0:19:43.320
<v Speaker 11>not getting your money back today, how long do you

0:19:43.320 --> 0:19:45.080
<v Speaker 11>have to wait and what happens to those assets? It

0:19:45.119 --> 0:19:47.439
<v Speaker 11>would Bitcoin, ether and some of these tokens continue to

0:19:47.440 --> 0:19:49.840
<v Speaker 11>decline in value. That is of course a concern for

0:19:49.880 --> 0:19:52.560
<v Speaker 11>the creditors, which is why they are holding some of

0:19:52.560 --> 0:19:55.040
<v Speaker 11>that Bitcoin and ether and hedging the exposure rather than

0:19:55.119 --> 0:19:57.199
<v Speaker 11>selling that off right away as they are looking to

0:19:57.200 --> 0:19:59.520
<v Speaker 11>do with some of these other tokens.

0:19:59.800 --> 0:20:03.320
<v Speaker 5>To mind ourselves, sorry, Carol Bloomberg Technology that the whole

0:20:03.320 --> 0:20:05.280
<v Speaker 5>point of this story is about whether people get their

0:20:05.320 --> 0:20:07.840
<v Speaker 5>money back or not. You know, people that had assets

0:20:07.840 --> 0:20:10.959
<v Speaker 5>with not just the US, but multiple jurisdictions. We at

0:20:10.960 --> 0:20:14.600
<v Speaker 5>a place where we can answer that question. Shanale, it's early.

0:20:14.880 --> 0:20:16.600
<v Speaker 11>I think it's early. And the reason it's early is

0:20:16.600 --> 0:20:19.840
<v Speaker 11>even with these assets in itself, like I said, it's

0:20:19.840 --> 0:20:23.040
<v Speaker 11>a court process, So it's not even that Galaxy is

0:20:23.080 --> 0:20:25.880
<v Speaker 11>taking over those assets tomorrow and selling them off into

0:20:25.880 --> 0:20:27.840
<v Speaker 11>the market and giving them money back to the creditors

0:20:27.920 --> 0:20:31.760
<v Speaker 11>right away. It will take time and there is friction

0:20:32.080 --> 0:20:34.800
<v Speaker 11>as they look. It's not the only assets that FTX has,

0:20:34.880 --> 0:20:37.040
<v Speaker 11>so it will take time to see what ultimately we'll

0:20:37.080 --> 0:20:39.800
<v Speaker 11>be recouped. Now, if they do sell these assets at

0:20:39.840 --> 0:20:42.720
<v Speaker 11>a decent price, there could be some money, of course,

0:20:42.760 --> 0:20:46.159
<v Speaker 11>and a certain degree of funds reclaimed for creditors, but

0:20:46.640 --> 0:20:49.080
<v Speaker 11>even the creditors would expect that it would be materially

0:20:49.160 --> 0:20:50.440
<v Speaker 11>less than what they walked in.

0:20:50.359 --> 0:20:53.919
<v Speaker 2>With Shanale all over that story, all over the chrystosphere

0:20:54.000 --> 0:21:00.120
<v Speaker 2>for us today.

0:21:02.040 --> 0:21:04.200
<v Speaker 4>Welcome back to Brimog Technology. I'm Caaren Hide in.

0:21:04.160 --> 0:21:06.800
<v Speaker 5>New York at our Meed Ludlow in San Francisco. Carry

0:21:06.840 --> 0:21:08.920
<v Speaker 5>Let's check on the markets and Videa's the big story

0:21:09.240 --> 0:21:12.000
<v Speaker 5>and the market from a technology sector perspective of opened

0:21:12.080 --> 0:21:14.280
<v Speaker 5>higher and a's that one hundred has swung from a

0:21:14.280 --> 0:21:17.040
<v Speaker 5>pretty modest gain in the first hour of trading, we're

0:21:17.040 --> 0:21:19.720
<v Speaker 5>now down one point three percent. The story's kind of

0:21:19.720 --> 0:21:22.880
<v Speaker 5>evolving towards Jackson whole Friday when we hear from fed

0:21:22.960 --> 0:21:26.240
<v Speaker 5>chair Pale yields to creeping higher and Vidia pretty much

0:21:26.240 --> 0:21:28.480
<v Speaker 5>one of the only names now in the technology sector

0:21:28.520 --> 0:21:30.840
<v Speaker 5>that is still in the green. Earning's a big part

0:21:30.880 --> 0:21:32.760
<v Speaker 5>of it. As we've covered right we had Snowflake now

0:21:32.800 --> 0:21:36.159
<v Speaker 5>disappointing to the downside. There is one stock that is

0:21:36.520 --> 0:21:40.320
<v Speaker 5>frankly on a hyperbolic trajectory and we're not really sure

0:21:40.359 --> 0:21:40.680
<v Speaker 5>what's going on.

0:21:40.720 --> 0:21:41.840
<v Speaker 3>But let's quickly talk about.

0:21:41.720 --> 0:21:44.640
<v Speaker 5>Vin Fast because at current gains, the company listing via

0:21:44.720 --> 0:21:47.240
<v Speaker 5>spack just a week ago has a market cap and

0:21:47.240 --> 0:21:49.679
<v Speaker 5>more than one hundred billion. At one point in the session,

0:21:49.680 --> 0:21:51.480
<v Speaker 5>it had a market cap and more than one hundred

0:21:51.480 --> 0:21:54.080
<v Speaker 5>and twenty billion. So if you took four General motors

0:21:54.119 --> 0:21:57.480
<v Speaker 5>and throwing Rivian for good measure, and combined them, you

0:21:57.560 --> 0:22:00.119
<v Speaker 5>have vin Fast that's only delivered a thousand vehicles here

0:22:00.160 --> 0:22:02.040
<v Speaker 5>in the US, and then record all of them. I

0:22:02.119 --> 0:22:04.560
<v Speaker 5>have a lot of experience covering ev companies went public

0:22:04.640 --> 0:22:07.000
<v Speaker 5>vice back. This one makes no sense to me either.

0:22:07.240 --> 0:22:08.800
<v Speaker 5>And then I guess finally, in the name we're looking

0:22:08.840 --> 0:22:11.080
<v Speaker 5>at is Twilio. Twilio out with a new kind of

0:22:11.080 --> 0:22:13.640
<v Speaker 5>suite of AI powered products on the data management side.

0:22:13.640 --> 0:22:16.000
<v Speaker 5>I think what's interesting about this story is they're kind

0:22:16.000 --> 0:22:18.960
<v Speaker 5>of responding to what is customer demand. The news was

0:22:18.960 --> 0:22:21.000
<v Speaker 5>out twenty four hours ago, the stock closed around two

0:22:21.000 --> 0:22:23.920
<v Speaker 5>percent higher. It's now down about two percent. But again,

0:22:24.200 --> 0:22:26.199
<v Speaker 5>consider the broader market and where we're going in the

0:22:26.200 --> 0:22:27.800
<v Speaker 5>tech sector in particular.

0:22:27.520 --> 0:22:31.679
<v Speaker 2>And so many ed have said the amount of productivity gains,

0:22:31.720 --> 0:22:34.119
<v Speaker 2>the real value is going to be in proprietary data,

0:22:34.320 --> 0:22:36.840
<v Speaker 2>and well, maybe you access it through Twilio. We're priased

0:22:36.880 --> 0:22:38.680
<v Speaker 2>to say, we've got the CEO, Jeff Lawson, to talk

0:22:38.720 --> 0:22:41.320
<v Speaker 2>about the roll out of your new products and ultimately

0:22:41.400 --> 0:22:44.280
<v Speaker 2>that end user demand. What are your customers wanting to

0:22:44.359 --> 0:22:46.879
<v Speaker 2>have when it comes to accessing and making the most

0:22:46.880 --> 0:22:48.720
<v Speaker 2>of their customer data.

0:22:49.000 --> 0:22:50.960
<v Speaker 12>Well, look, I think we all know that you know,

0:22:51.240 --> 0:22:54.040
<v Speaker 12>AI is going to transform so many parts of business,

0:22:54.080 --> 0:22:55.680
<v Speaker 12>and it all comes down to the quality of the

0:22:55.800 --> 0:22:58.240
<v Speaker 12>data that you're going to bring in feed AI. That's

0:22:58.280 --> 0:23:01.560
<v Speaker 12>going to provide proprietory outcomes for companies. And so the

0:23:01.600 --> 0:23:03.920
<v Speaker 12>way we look at it is if companies are able

0:23:03.920 --> 0:23:06.879
<v Speaker 12>to take all the information they know about their customers,

0:23:07.040 --> 0:23:09.520
<v Speaker 12>write every click, every scroll, every propensity to buy all

0:23:09.520 --> 0:23:12.040
<v Speaker 12>that information and feed it to an AI, it can

0:23:12.040 --> 0:23:16.040
<v Speaker 12>make those companies ten times better at serving their customers

0:23:16.200 --> 0:23:18.080
<v Speaker 12>and do it at a tenth of the price. That's

0:23:18.080 --> 0:23:21.600
<v Speaker 12>because you can take make your marketers ten times as

0:23:21.600 --> 0:23:25.359
<v Speaker 12>effective by designing and executing marketing campaigns automatically. You can

0:23:25.400 --> 0:23:29.160
<v Speaker 12>make your contact center ten times as effective by automating

0:23:29.200 --> 0:23:30.320
<v Speaker 12>so many of those conversations.

0:23:30.320 --> 0:23:31.520
<v Speaker 7>You make your sales team.

0:23:31.480 --> 0:23:34.080
<v Speaker 12>Ten times as effective because you can automate so many

0:23:34.080 --> 0:23:36.600
<v Speaker 12>of those early conversations. And so because of this, we

0:23:36.640 --> 0:23:40.159
<v Speaker 12>think companies that combine their customer data with advanced AI

0:23:40.480 --> 0:23:42.080
<v Speaker 12>are going to be able to get ten times better

0:23:42.160 --> 0:23:43.080
<v Speaker 12>at a tenth of the cost.

0:23:43.640 --> 0:23:46.040
<v Speaker 2>Jeff, I hear you, and I hate to sound in

0:23:46.080 --> 0:23:49.720
<v Speaker 2>any way jaded around this AI euphoria, but I feel

0:23:49.720 --> 0:23:53.200
<v Speaker 2>like everyone's making an announcement about how they can supercharge

0:23:53.280 --> 0:23:55.400
<v Speaker 2>their clients using adswercial.

0:23:55.000 --> 0:23:58.359
<v Speaker 4>Intelligence and generative AI. Why is your offering different?

0:24:00.000 --> 0:24:01.639
<v Speaker 7>It really all comes down to the data.

0:24:01.800 --> 0:24:04.560
<v Speaker 12>And we have a segment which is the leading real

0:24:04.680 --> 0:24:05.560
<v Speaker 12>time CDPs.

0:24:05.600 --> 0:24:07.040
<v Speaker 7>CDP is a customer.

0:24:06.840 --> 0:24:10.360
<v Speaker 12>Data platform and what it does we work with leading companies.

0:24:10.359 --> 0:24:12.920
<v Speaker 12>It allows them to ingest all the signals that they

0:24:12.920 --> 0:24:14.840
<v Speaker 12>get from their customers. Now, mind you, this is all

0:24:14.880 --> 0:24:18.560
<v Speaker 12>first party data, but every website, visit, every click, every scroll, everything,

0:24:18.600 --> 0:24:20.560
<v Speaker 12>people buy everything they don't buy right, and turn that

0:24:20.600 --> 0:24:23.919
<v Speaker 12>into a profile. That's an understanding of that customer. And

0:24:24.000 --> 0:24:26.040
<v Speaker 12>when you take an understanding of your customer and then

0:24:26.080 --> 0:24:28.240
<v Speaker 12>feed it to AI. And the reason why I am

0:24:28.320 --> 0:24:32.280
<v Speaker 12>so bullish on AI is that you look at chat GPT, right,

0:24:32.359 --> 0:24:33.880
<v Speaker 12>you look at a lot of these applications are getting

0:24:33.920 --> 0:24:37.800
<v Speaker 12>built viz our computers that can reason like you can

0:24:37.840 --> 0:24:40.240
<v Speaker 12>look at chat GPT and it will reason its way

0:24:40.320 --> 0:24:43.040
<v Speaker 12>through solving a hard problem in the way that a

0:24:43.160 --> 0:24:45.879
<v Speaker 12>human would do it. Now you feed it knowledge of

0:24:45.920 --> 0:24:48.840
<v Speaker 12>your customers you can say, reason through how to target

0:24:48.920 --> 0:24:51.760
<v Speaker 12>my customers to get better offers in their hands, reason

0:24:51.800 --> 0:24:54.199
<v Speaker 12>through how to design a marketing campaign that's going to

0:24:54.200 --> 0:24:56.639
<v Speaker 12>do better than maybe one that a human would design.

0:24:56.800 --> 0:24:58.680
<v Speaker 12>And I think we are going to see great success

0:24:58.680 --> 0:25:00.560
<v Speaker 12>with those as being able to do those amazing things.

0:25:00.880 --> 0:25:02.240
<v Speaker 3>Like Caro, I'm jaded too.

0:25:02.440 --> 0:25:04.360
<v Speaker 5>You know, we handle a lot of headlines in this way,

0:25:04.480 --> 0:25:06.240
<v Speaker 5>the way that Caroline has been describing. If you take

0:25:06.240 --> 0:25:08.879
<v Speaker 5>in video, it's like the picks and shovels of the

0:25:08.920 --> 0:25:12.920
<v Speaker 5>AI chain. You and I've discussed this before, but if

0:25:12.920 --> 0:25:16.320
<v Speaker 5>you think about the large language model underlying algorithms, you're

0:25:16.320 --> 0:25:20.160
<v Speaker 5>basically technology agnostic because you're working with both open ai

0:25:20.160 --> 0:25:23.160
<v Speaker 5>and Google. Why is that beneficial to you to say, oh,

0:25:23.160 --> 0:25:25.440
<v Speaker 5>we'll work with anyone where we can benefit.

0:25:25.640 --> 0:25:28.320
<v Speaker 12>Yeah, well, it's the right model for the right use case,

0:25:28.640 --> 0:25:30.560
<v Speaker 12>and so we have partnered. We partner with Google for

0:25:30.600 --> 0:25:33.679
<v Speaker 12>certain use cases. We've partnered with open ai yesterday around

0:25:33.720 --> 0:25:36.639
<v Speaker 12>our AI personalization engine, and we're going to partner with

0:25:36.680 --> 0:25:39.040
<v Speaker 12>others as well. And the key thing is taking the

0:25:39.119 --> 0:25:41.400
<v Speaker 12>right model, the right technology to go solve.

0:25:41.240 --> 0:25:41.959
<v Speaker 7>The right problem.

0:25:41.960 --> 0:25:43.920
<v Speaker 12>But I do believe this is day zero of AI,

0:25:44.280 --> 0:25:46.080
<v Speaker 12>and so it is at the infrastructure stage.

0:25:46.119 --> 0:25:48.600
<v Speaker 7>That's why you see in video right posting the results

0:25:48.600 --> 0:25:48.960
<v Speaker 7>they are.

0:25:49.200 --> 0:25:51.760
<v Speaker 12>Well, we look at it as companies today, they are

0:25:51.800 --> 0:25:55.720
<v Speaker 12>getting their data AI ready because they know this rule

0:25:55.880 --> 0:25:57.640
<v Speaker 12>is coming and they need to get all of their

0:25:57.680 --> 0:26:01.080
<v Speaker 12>customer data into a format where and these use cases

0:26:01.119 --> 0:26:03.359
<v Speaker 12>become a reality, they're able to combine it with the

0:26:03.400 --> 0:26:05.680
<v Speaker 12>powers of large language models and actually get these kinds

0:26:05.680 --> 0:26:06.080
<v Speaker 12>of outcomes.

0:26:06.240 --> 0:26:07.800
<v Speaker 5>I actually wanted to ask you if you could walk

0:26:07.880 --> 0:26:10.960
<v Speaker 5>us through how Twilio is a management team came to

0:26:11.000 --> 0:26:14.280
<v Speaker 5>this decision because in the second line of our story,

0:26:14.400 --> 0:26:17.560
<v Speaker 5>in the first paragraph, it says Twilio is responding to

0:26:17.680 --> 0:26:20.320
<v Speaker 5>customer demand. So is this just a case of customers

0:26:20.400 --> 0:26:23.360
<v Speaker 5>kicking down your Doorjef and saying we need this, make

0:26:23.400 --> 0:26:24.240
<v Speaker 5>it for us please.

0:26:24.480 --> 0:26:26.879
<v Speaker 12>Well, if you think about it, if AI is able

0:26:26.920 --> 0:26:29.320
<v Speaker 12>to get ten times better results, which I firmly believe

0:26:29.480 --> 0:26:33.000
<v Speaker 12>at one tenth of the cost of prior solutions right

0:26:33.000 --> 0:26:34.920
<v Speaker 12>where you needed humans to go do all the work,

0:26:35.160 --> 0:26:38.800
<v Speaker 12>well guess what the economic incentives for companies to invest

0:26:39.040 --> 0:26:41.959
<v Speaker 12>in this technology are going to be undeniable? Right if

0:26:42.000 --> 0:26:44.360
<v Speaker 12>you can get a roughly one hundred x outcome by

0:26:44.359 --> 0:26:47.360
<v Speaker 12>investing in a technology. Every company is going to need

0:26:47.359 --> 0:26:49.679
<v Speaker 12>it if they're going to survive and thrive in this

0:26:49.720 --> 0:26:52.879
<v Speaker 12>AI powered world. And so that's why every conversation that

0:26:52.960 --> 0:26:57.080
<v Speaker 12>I have with customers today is all about AI, because

0:26:57.240 --> 0:26:59.840
<v Speaker 12>companies are asking the questions, how is this going to

0:27:00.240 --> 0:27:04.880
<v Speaker 12>radically transform my business in my industry in the coming one, two, five,

0:27:04.920 --> 0:27:07.520
<v Speaker 12>and ten years, and they're building in their starting those

0:27:07.560 --> 0:27:08.240
<v Speaker 12>investments today.

0:27:08.280 --> 0:27:11.080
<v Speaker 5>Caroline, the conversations that you and I have every single

0:27:11.160 --> 0:27:16.000
<v Speaker 5>day are all about AI, but with investors principally.

0:27:15.560 --> 0:27:18.600
<v Speaker 2>Yeah, and on that note, a more sensitive question I

0:27:18.640 --> 0:27:21.040
<v Speaker 2>suppose for Hujef, and that point is you've got customers

0:27:21.080 --> 0:27:23.200
<v Speaker 2>knocking down your door, have you got investors knocking down

0:27:23.200 --> 0:27:25.720
<v Speaker 2>your door asking how you're managing to capitalize on this moment?

0:27:25.760 --> 0:27:28.439
<v Speaker 2>In particular, I ask because we are the lookout for

0:27:28.520 --> 0:27:32.640
<v Speaker 2>activist investor interaction. Of course, some of your expire that's

0:27:32.680 --> 0:27:34.879
<v Speaker 2>happened in terms of your founder's shares means perhaps you're

0:27:34.880 --> 0:27:35.840
<v Speaker 2>a little bit more exposed.

0:27:37.160 --> 0:27:40.520
<v Speaker 12>Well, look, without dual class shares, we are in the

0:27:40.600 --> 0:27:43.119
<v Speaker 12>category of nearly every public company that exists. So I

0:27:43.160 --> 0:27:45.879
<v Speaker 12>don't think it's really a newsworthy story. But we have

0:27:45.920 --> 0:27:49.600
<v Speaker 12>been very active participants with our investors, understanding what they

0:27:49.640 --> 0:27:52.520
<v Speaker 12>want from us as a management team, and doing a

0:27:52.560 --> 0:27:55.800
<v Speaker 12>substance of actions representing the needs and the desires of

0:27:55.800 --> 0:27:59.480
<v Speaker 12>our shareholders. And so we've taken a major actions. We've

0:27:59.600 --> 0:28:03.000
<v Speaker 12>taken the company from really focused on growth and never

0:28:03.080 --> 0:28:06.120
<v Speaker 12>making a substantive profit to a company that's now throwing off,

0:28:06.280 --> 0:28:08.920
<v Speaker 12>you know, more than ten percent non gap operating margins

0:28:09.040 --> 0:28:10.520
<v Speaker 12>in just the course of six months. And so I

0:28:10.520 --> 0:28:13.440
<v Speaker 12>think that is from amazing progress that we've made listening

0:28:13.440 --> 0:28:17.200
<v Speaker 12>to the needs of investors, responding and taking substantive actions

0:28:17.480 --> 0:28:20.320
<v Speaker 12>while we're investing in this exciting new roadmap around AI

0:28:20.400 --> 0:28:21.359
<v Speaker 12>and customer AIA.

0:28:21.480 --> 0:28:23.119
<v Speaker 2>Jeff, I like that you take us there, that you

0:28:23.160 --> 0:28:25.640
<v Speaker 2>almost remind us of the macro picture that you're trying

0:28:25.640 --> 0:28:27.720
<v Speaker 2>to navigate right now. It is one where people want

0:28:27.760 --> 0:28:30.480
<v Speaker 2>to see not growth at any cost, but growth at

0:28:30.520 --> 0:28:34.280
<v Speaker 2>profitable costs here and I'm interested in what you're seeing

0:28:34.320 --> 0:28:37.400
<v Speaker 2>from clients. Yes, there's AI euphoria, but are people pulling back?

0:28:37.440 --> 0:28:39.520
<v Speaker 2>Are people reticent, worried, nervous to spend?

0:28:41.080 --> 0:28:41.320
<v Speaker 7>Well?

0:28:41.400 --> 0:28:44.040
<v Speaker 12>Companies are rightly looking at their investments and saying these

0:28:44.040 --> 0:28:46.480
<v Speaker 12>are the right investments. Have we invested in the right

0:28:46.560 --> 0:28:49.400
<v Speaker 12>software and are we getting an ROI from these investments?

0:28:49.600 --> 0:28:51.200
<v Speaker 7>And I think in the cases where they're not.

0:28:51.080 --> 0:28:53.320
<v Speaker 12>Seeing an ROI, they may be pulling back or they

0:28:53.320 --> 0:28:54.920
<v Speaker 12>may be reducing think abouts.

0:28:54.920 --> 0:28:56.600
<v Speaker 7>SAD SaaS is seat.

0:28:56.400 --> 0:28:59.040
<v Speaker 12>Based for most companies, and so if you know, with

0:28:59.080 --> 0:29:00.600
<v Speaker 12>all the layoffs that have gone on and a lot

0:29:00.600 --> 0:29:02.760
<v Speaker 12>of companies, you need fewer seats, right, So there's those

0:29:02.800 --> 0:29:06.040
<v Speaker 12>things happening. But at the same time, companies are looking

0:29:06.080 --> 0:29:08.800
<v Speaker 12>at this moment with technology still continuing to grow, the

0:29:08.800 --> 0:29:11.640
<v Speaker 12>economy is still doing fairly well, and AI right around

0:29:11.640 --> 0:29:13.440
<v Speaker 12>the corner. They're saying, how do I make sure I

0:29:13.480 --> 0:29:16.520
<v Speaker 12>have the right investments to fuel our growth going forward

0:29:16.560 --> 0:29:18.480
<v Speaker 12>while looking at some of the older investments and saying

0:29:18.680 --> 0:29:20.280
<v Speaker 12>are those still the ones that we need? And so

0:29:20.320 --> 0:29:21.440
<v Speaker 12>I think we're seeing a lot of that. And the

0:29:21.520 --> 0:29:24.080
<v Speaker 12>nice thing about our business model is that we're usage based, right.

0:29:24.080 --> 0:29:26.400
<v Speaker 12>We're not selling seats and we're not selling there's no

0:29:26.440 --> 0:29:29.840
<v Speaker 12>such thing as shelfware in a usage based model, and

0:29:29.880 --> 0:29:31.920
<v Speaker 12>so all of the money that companies pay.

0:29:31.880 --> 0:29:33.720
<v Speaker 7>Us today is value that they are getting.

0:29:33.760 --> 0:29:36.120
<v Speaker 12>And I think companies that sell seats or companies that

0:29:36.160 --> 0:29:38.120
<v Speaker 12>have had a history of selling shelfware i e.

0:29:38.280 --> 0:29:39.800
<v Speaker 7>Software the company didn't really need.

0:29:40.240 --> 0:29:43.360
<v Speaker 12>Those companies are struggling because those clients are pulling back.

0:29:43.200 --> 0:29:43.920
<v Speaker 8>In their investments.

0:29:44.160 --> 0:29:46.320
<v Speaker 3>Jeff, it's great to see you in person. Have you

0:29:46.360 --> 0:29:47.280
<v Speaker 3>here on set.

0:29:48.560 --> 0:29:51.720
<v Speaker 5>AI in San Francisco seems like a big story to me.

0:29:52.520 --> 0:29:54.760
<v Speaker 5>You seem to be spending more time with CEOs of

0:29:54.760 --> 0:29:57.480
<v Speaker 5>other companies doing things. Can you talk a little bit

0:29:57.520 --> 0:30:00.360
<v Speaker 5>about whether or not what's happening with the an has

0:30:00.400 --> 0:30:03.080
<v Speaker 5>actually brought some of the tech industry here back together

0:30:03.120 --> 0:30:04.320
<v Speaker 5>a little bit absolutely.

0:30:04.320 --> 0:30:07.040
<v Speaker 12>I mean, look, San Francisco has become the center of

0:30:07.080 --> 0:30:10.400
<v Speaker 12>the AI universe. You've got open Ai, their headquarters, has

0:30:10.400 --> 0:30:12.320
<v Speaker 12>done in the mission right, You've got a lot of

0:30:12.360 --> 0:30:15.440
<v Speaker 12>companies participating in this AI revolution right in this area

0:30:15.520 --> 0:30:18.280
<v Speaker 12>and in the broader tech community. And look, I think

0:30:18.720 --> 0:30:21.920
<v Speaker 12>that the advent of what we're seeing with large language models,

0:30:21.960 --> 0:30:26.280
<v Speaker 12>computers that can reason, this is going to be bigger

0:30:26.320 --> 0:30:29.120
<v Speaker 12>than the mobile revolution we saw, give or take fifteen

0:30:29.200 --> 0:30:32.400
<v Speaker 12>years ago. This is probably about as big as the

0:30:32.480 --> 0:30:35.080
<v Speaker 12>advent of the internet on what it means for business,

0:30:35.120 --> 0:30:36.320
<v Speaker 12>what it means for society.

0:30:36.320 --> 0:30:37.800
<v Speaker 7>And so that's why you see a lot of excitement,

0:30:37.840 --> 0:30:38.160
<v Speaker 7>a lot.

0:30:38.080 --> 0:30:40.560
<v Speaker 12>Of energy, a lot of developers going to work, building,

0:30:40.600 --> 0:30:43.480
<v Speaker 12>exploring what's now possible. And that's the energy that I

0:30:43.480 --> 0:30:46.000
<v Speaker 12>feel sitting here in San Francisco and inside of Silicon Valley.

0:30:46.440 --> 0:30:49.400
<v Speaker 5>Jeff Lawson, Twilio CEO, you were the first ed board

0:30:49.400 --> 0:30:51.520
<v Speaker 5>I did when I moved here from London. I think

0:30:51.520 --> 0:30:53.440
<v Speaker 5>it was five and a half years ago. Now, it's

0:30:53.480 --> 0:30:55.520
<v Speaker 5>good to have you back here in the seat. Carrie

0:30:55.560 --> 0:30:58.560
<v Speaker 5>coming up here on Bloomberg Technology Salesforce another name here

0:30:58.560 --> 0:31:01.240
<v Speaker 5>in SSET. Get me in on with a funding round

0:31:01.240 --> 0:31:03.480
<v Speaker 5>for Hugging Face. We're gonna have more details on that

0:31:03.560 --> 0:31:06.640
<v Speaker 5>next and Hugging Faces CEO Clem DeLong joins us Sunset.

0:31:06.640 --> 0:31:08.120
<v Speaker 3>I think you have some more breaking news as well.

0:31:08.200 --> 0:31:08.440
<v Speaker 8>We do.

0:31:08.520 --> 0:31:12.080
<v Speaker 2>Let's talk about document management. Boy, we've done data management.

0:31:12.160 --> 0:31:14.520
<v Speaker 2>We've of course done all the areas in which companies

0:31:14.520 --> 0:31:18.120
<v Speaker 2>are optimizing their data. But let's talk about managing your documents.

0:31:18.440 --> 0:31:19.000
<v Speaker 3>Dot Box.

0:31:19.080 --> 0:31:21.160
<v Speaker 2>Actually Singling could be charging you a little bit more

0:31:21.160 --> 0:31:23.160
<v Speaker 2>for it. New cloud storage plan fees are going to

0:31:23.200 --> 0:31:25.280
<v Speaker 2>be announced later Thursday. We understand they're going to be

0:31:25.440 --> 0:31:29.120
<v Speaker 2>ending their unlimited cloud document storage for customers at one

0:31:29.160 --> 0:31:31.800
<v Speaker 2>point we went positive and then we sat back down again.

0:31:32.400 --> 0:31:34.920
<v Speaker 10>From New York and from San Francisco, this is blame

0:31:34.960 --> 0:31:52.440
<v Speaker 10>Meg Technology, all right.

0:31:52.560 --> 0:31:54.640
<v Speaker 5>Some big funding news in the world of AI, with

0:31:54.760 --> 0:31:58.400
<v Speaker 5>Salesforce leading a financing round in Hugging Face, giving the

0:31:58.440 --> 0:32:01.640
<v Speaker 5>company a four point five billion dollar valuation. The startup,

0:32:01.880 --> 0:32:05.320
<v Speaker 5>which helps companies store and use AI software, has risen

0:32:05.360 --> 0:32:08.000
<v Speaker 5>as one of the main players in the field. CEO

0:32:08.080 --> 0:32:10.720
<v Speaker 5>clemmed Along joins us now for more on that round,

0:32:10.720 --> 0:32:13.960
<v Speaker 5>along with Bloomberg's Rachel Metz. Rachel leads our AI coverage

0:32:14.000 --> 0:32:15.640
<v Speaker 5>and reported on this round.

0:32:15.720 --> 0:32:16.520
<v Speaker 3>Rachel, take it away.

0:32:17.240 --> 0:32:18.960
<v Speaker 13>Good morning, Clem.

0:32:19.040 --> 0:32:20.920
<v Speaker 4>Why don't you start off by telling us.

0:32:20.760 --> 0:32:23.200
<v Speaker 13>A little bit about this funding round. Why did you

0:32:23.240 --> 0:32:27.160
<v Speaker 13>go with this group of investors which includes as at Salesforce,

0:32:27.240 --> 0:32:30.080
<v Speaker 13>There's Google in there, Amazon, a bunch of big name

0:32:30.120 --> 0:32:30.800
<v Speaker 13>tech companies.

0:32:32.040 --> 0:32:34.360
<v Speaker 14>Yeah, we're super excited about the secret system around. I

0:32:34.360 --> 0:32:36.440
<v Speaker 14>think it's pretty unique. I haven't seen in the past

0:32:36.440 --> 0:32:39.640
<v Speaker 14>around with so many big players around around the table.

0:32:39.680 --> 0:32:42.920
<v Speaker 14>We have Salesforce, we have Google, we have Amazon, we

0:32:42.960 --> 0:32:48.520
<v Speaker 14>have Nvidia, Intel, md IBM, quad Com. I think it's

0:32:48.600 --> 0:32:52.440
<v Speaker 14>a good signal for Hugging Face. Obviously, with this CAF

0:32:52.480 --> 0:32:55.280
<v Speaker 14>like collabority platform that all these people and most of

0:32:55.320 --> 0:32:59.120
<v Speaker 14>the AI builders are using, but also for open source

0:32:59.160 --> 0:33:01.720
<v Speaker 14>AI in in general, which is kept like a trend

0:33:01.800 --> 0:33:05.280
<v Speaker 14>that we've seen developing for the past few months.

0:33:07.640 --> 0:33:10.080
<v Speaker 13>One of the things that I'm curious about is how

0:33:10.360 --> 0:33:14.200
<v Speaker 13>your company pivoted from its initial product. Initially, when I

0:33:14.240 --> 0:33:16.360
<v Speaker 13>first met you years ago, you guys were working on

0:33:16.440 --> 0:33:18.880
<v Speaker 13>a chatbot. So how did you go from chatbot to

0:33:19.320 --> 0:33:22.400
<v Speaker 13>an AI platform that tons and tons of companies and

0:33:22.480 --> 0:33:25.360
<v Speaker 13>individuals used to share their AI models to a lot

0:33:25.360 --> 0:33:25.680
<v Speaker 13>of people.

0:33:27.240 --> 0:33:30.720
<v Speaker 14>It was quite quite a journey. It's really kept like

0:33:30.800 --> 0:33:36.680
<v Speaker 14>the community, the companies, the users that really drove us right.

0:33:37.040 --> 0:33:41.120
<v Speaker 14>We were building this conversational AI, and we were lucky

0:33:41.160 --> 0:33:43.560
<v Speaker 14>to have like work for quite a long time on

0:33:43.600 --> 0:33:48.080
<v Speaker 14>the underlying infrastructure for this conversational AI, which including the

0:33:48.080 --> 0:33:51.240
<v Speaker 14>ability to like have a lot of different models, a

0:33:51.240 --> 0:33:54.040
<v Speaker 14>lot of different data sets, and build a system that

0:33:54.120 --> 0:33:54.600
<v Speaker 14>makes sense.

0:33:55.360 --> 0:33:56.000
<v Speaker 8>And when we.

0:33:55.920 --> 0:33:58.520
<v Speaker 14>Started to kind of like share some of that with

0:33:58.720 --> 0:34:03.080
<v Speaker 14>the community, something really wonderful happened, which is that open

0:34:03.120 --> 0:34:07.080
<v Speaker 14>source contributors started to come in and kept contribute to

0:34:07.120 --> 0:34:11.120
<v Speaker 14>the platform that we released. In open source researchers started

0:34:11.160 --> 0:34:13.799
<v Speaker 14>to camp like share their models. So most of the

0:34:13.960 --> 0:34:19.120
<v Speaker 14>open AI models that you've heard of today have been

0:34:19.160 --> 0:34:25.160
<v Speaker 14>added to the platform, like Bloom for example, Lama to Lama,

0:34:25.280 --> 0:34:30.640
<v Speaker 14>Lama two, Lama code that has been released today, Stable diffusion.

0:34:31.160 --> 0:34:33.319
<v Speaker 14>All these models have been added by the community, and

0:34:33.360 --> 0:34:35.920
<v Speaker 14>that's really kept like what drove us to go from

0:34:36.200 --> 0:34:39.719
<v Speaker 14>this camp like end use kate to providing the platform

0:34:39.800 --> 0:34:41.920
<v Speaker 14>for all ail builders.

0:34:41.560 --> 0:34:44.560
<v Speaker 15>Time Also interesting though, is it feels like there's this

0:34:44.680 --> 0:34:48.920
<v Speaker 15>inherent sort of tension. You've got a community, an open

0:34:49.040 --> 0:34:51.800
<v Speaker 15>source community, and at the same time trying to build

0:34:52.160 --> 0:34:56.759
<v Speaker 15>an enterprise business that makes millions and millions of dollars investors.

0:34:57.040 --> 0:34:59.920
<v Speaker 15>How do you treat your community within this sudden moment.

0:35:01.320 --> 0:35:03.560
<v Speaker 14>The good thing is that we can look at other examples. Right,

0:35:03.600 --> 0:35:07.120
<v Speaker 14>if you look at GitHub, they've done that quite well

0:35:07.160 --> 0:35:10.120
<v Speaker 14>at much larger scale than we are now. Right they

0:35:10.160 --> 0:35:13.560
<v Speaker 14>have over one hundred million users. They are kept like

0:35:13.600 --> 0:35:18.239
<v Speaker 14>the main platform for software engineers, similar to us being

0:35:18.280 --> 0:35:22.160
<v Speaker 14>the main platform for AIAI builders. The way we approach

0:35:22.239 --> 0:35:26.799
<v Speaker 14>that is by kind like setting a clear boundary and

0:35:26.920 --> 0:35:29.799
<v Speaker 14>campt like a public and camp like.

0:35:29.760 --> 0:35:34.080
<v Speaker 3>A strategy that when users.

0:35:33.640 --> 0:35:38.200
<v Speaker 14>Are contributing for example, publishing models in the open for

0:35:38.360 --> 0:35:41.520
<v Speaker 14>others to use. It's free and it's always going to

0:35:41.560 --> 0:35:44.759
<v Speaker 14>stay free, right, But when it's a company that is

0:35:44.880 --> 0:35:49.800
<v Speaker 14>using for the private commercial gain without contributing to the community,

0:35:50.480 --> 0:35:53.640
<v Speaker 14>it's fair that we make money out of that. And

0:35:53.719 --> 0:35:56.520
<v Speaker 14>the money that we make there is funding all the

0:35:56.560 --> 0:35:58.880
<v Speaker 14>open source and all the free products that we can

0:35:58.920 --> 0:36:01.800
<v Speaker 14>offer to develop the commun do clem.

0:36:01.880 --> 0:36:03.680
<v Speaker 5>I want to go back to the investors again and

0:36:03.760 --> 0:36:07.560
<v Speaker 5>talk about not just the money but the strategy. I

0:36:07.640 --> 0:36:10.800
<v Speaker 5>understand this is an all cash round, but you share

0:36:10.880 --> 0:36:15.680
<v Speaker 5>investors with some pretty big AI companies taken VideA for example,

0:36:15.680 --> 0:36:19.239
<v Speaker 5>which is backed Inflection AI. When the stuffer, Sallyman came

0:36:19.239 --> 0:36:21.680
<v Speaker 5>on to beat Bloomberg Technology of Me, he didn't care

0:36:21.680 --> 0:36:24.520
<v Speaker 5>about the cash. He cared about all the GPUs that

0:36:24.560 --> 0:36:28.360
<v Speaker 5>he'd secured from Nvidia. Is there any strategic or compute

0:36:28.360 --> 0:36:31.000
<v Speaker 5>advantage to this group you've assembled.

0:36:31.840 --> 0:36:34.600
<v Speaker 14>So all these companies they are using massively hugging Face

0:36:34.640 --> 0:36:38.080
<v Speaker 14>already and contributing massively to hugging Face. Collectively, they have

0:36:38.160 --> 0:36:42.280
<v Speaker 14>over ten thousand team members using the platform and they've

0:36:42.280 --> 0:36:47.080
<v Speaker 14>shared over one thousand open models on bugging Face. So

0:36:47.120 --> 0:36:51.000
<v Speaker 14>we plan to complict double down on that. However, something

0:36:51.040 --> 0:36:53.280
<v Speaker 14>that we wanted to do during this round is to

0:36:53.320 --> 0:36:57.440
<v Speaker 14>make sure that there's no strings attached. There's no commitment

0:36:58.040 --> 0:37:04.160
<v Speaker 14>on our sides in exchange to this this investment, so

0:37:04.160 --> 0:37:04.920
<v Speaker 14>it's a pure.

0:37:04.719 --> 0:37:08.080
<v Speaker 3>Cash deal, really separated.

0:37:07.560 --> 0:37:10.719
<v Speaker 14>To some of the other commercial collaborations that we can

0:37:10.760 --> 0:37:14.239
<v Speaker 14>have with these with these companies, of course, having them

0:37:14.400 --> 0:37:17.959
<v Speaker 14>aligned with us on the cap table is a good

0:37:18.000 --> 0:37:22.360
<v Speaker 14>strategic advantage to keep developing our partnerships with these companies.

0:37:24.239 --> 0:37:26.719
<v Speaker 13>I'm really curious to know what you're planning to do

0:37:26.840 --> 0:37:28.680
<v Speaker 13>with some of this money. We spot you and I

0:37:28.680 --> 0:37:30.560
<v Speaker 13>spoke the other day. You said you're going to put

0:37:30.600 --> 0:37:31.399
<v Speaker 13>some of it in the bank.

0:37:31.719 --> 0:37:32.520
<v Speaker 8>What are you going to do with.

0:37:32.440 --> 0:37:33.080
<v Speaker 3>The rest of it?

0:37:34.520 --> 0:37:37.799
<v Speaker 14>Yeah, we really think that, you know, we're on the

0:37:37.920 --> 0:37:41.960
<v Speaker 14>long term technology trend here. Even if AI is all

0:37:42.000 --> 0:37:46.160
<v Speaker 14>the rage right now, we're pretty early. Ultimately, we believe

0:37:46.160 --> 0:37:49.080
<v Speaker 14>it's going to be the default paradigm to build or tech.

0:37:50.160 --> 0:37:52.680
<v Speaker 14>So in this perspective, we're still early. So we want

0:37:52.719 --> 0:37:54.880
<v Speaker 14>to make sure that you know we're here at building

0:37:54.880 --> 0:37:57.440
<v Speaker 14>on the long term right in the next ten years.

0:37:58.560 --> 0:37:59.319
<v Speaker 7>However, we're going.

0:37:59.320 --> 0:38:01.879
<v Speaker 14>To use it of this money to keep growing the team.

0:38:02.080 --> 0:38:05.600
<v Speaker 14>We're one hundred and seventy team members right now and

0:38:05.640 --> 0:38:09.600
<v Speaker 14>we're planning to keep hiring quite a lot. And as

0:38:09.640 --> 0:38:13.480
<v Speaker 14>you know, hiring in AI right now is very competitive,

0:38:13.560 --> 0:38:17.400
<v Speaker 14>especially for the best people in science and engineering that

0:38:17.840 --> 0:38:19.880
<v Speaker 14>we're looking for taking place.

0:38:20.600 --> 0:38:22.800
<v Speaker 2>Really great to have some time with you, Clem DeLong.

0:38:22.920 --> 0:38:25.000
<v Speaker 2>We want to thank you hugging face CEO on the

0:38:25.040 --> 0:38:27.200
<v Speaker 2>latest round, and of course the person reporting on all

0:38:27.239 --> 0:38:29.880
<v Speaker 2>of that and asking brilliant questions, as Rachel Metz, we

0:38:29.960 --> 0:38:31.520
<v Speaker 2>thank her for all of her work. And look, let's

0:38:31.520 --> 0:38:34.080
<v Speaker 2>just stick with AI. We're just talking about Lama. Of course,

0:38:34.160 --> 0:38:36.120
<v Speaker 2>let's talk about Lara a little bit more. Meta just

0:38:36.200 --> 0:38:39.800
<v Speaker 2>launching a new artificial intelligence coding tool called code Lama

0:38:40.160 --> 0:38:43.279
<v Speaker 2>and uses Generator AI surprise surprize to help developers work

0:38:43.360 --> 0:38:46.279
<v Speaker 2>faster by suggesting lines of software code. One of those

0:38:46.360 --> 0:38:49.080
<v Speaker 2>ASH accounts joins us now, So it's a monetization coming

0:38:49.120 --> 0:38:49.719
<v Speaker 2>in here.

0:38:51.160 --> 0:38:52.759
<v Speaker 8>Yeah, exactly right.

0:38:52.800 --> 0:38:55.799
<v Speaker 16>They're taking Comma and they're allowing people to actually use

0:38:55.840 --> 0:38:59.040
<v Speaker 16>it for commercial use, which is an interesting play because

0:38:59.040 --> 0:39:00.640
<v Speaker 16>you have some companies that will be able to use

0:39:00.640 --> 0:39:02.759
<v Speaker 16>it for free and then make money off of it,

0:39:03.080 --> 0:39:05.600
<v Speaker 16>and then Meta might also charge some of the larger companies,

0:39:05.600 --> 0:39:07.359
<v Speaker 16>so there's a couple different ways that they can make money.

0:39:07.400 --> 0:39:11.000
<v Speaker 16>But it's a really good opportunity for companies that want

0:39:11.120 --> 0:39:14.480
<v Speaker 16>us a cheap or free sort of tool to be able.

0:39:14.320 --> 0:39:15.200
<v Speaker 8>To make money for free.

0:39:16.360 --> 0:39:18.720
<v Speaker 5>Caro Asha, I'm just going to say it. This looks

0:39:18.840 --> 0:39:21.920
<v Speaker 5>very similar to Microsoft's get hub. In fact, they're basically

0:39:21.920 --> 0:39:22.320
<v Speaker 5>the same.

0:39:22.680 --> 0:39:24.440
<v Speaker 3>Is that fair? Asia?

0:39:24.640 --> 0:39:27.520
<v Speaker 16>I think that's fair, and that's part of I think

0:39:27.560 --> 0:39:30.000
<v Speaker 16>the play here, right. I know Meta has talked about

0:39:30.000 --> 0:39:32.600
<v Speaker 16>wanting to make things open source and available to sort

0:39:32.600 --> 0:39:35.520
<v Speaker 16>of like democratize access, but you can't help but avoid

0:39:35.520 --> 0:39:37.600
<v Speaker 16>that comparison to gethub, right, like, this could be a

0:39:37.600 --> 0:39:41.680
<v Speaker 16>way to undercut GitHub if companies can use code Lama

0:39:41.800 --> 0:39:43.440
<v Speaker 16>and then not have to pay for gethub. I mean

0:39:43.680 --> 0:39:47.000
<v Speaker 16>you have to take a look at that too, all.

0:39:46.960 --> 0:39:49.160
<v Speaker 3>Right, Blomberg's Asia counts and all things matter.

0:39:57.120 --> 0:40:00.880
<v Speaker 11>I've had enough already tonight of a guy who sounds

0:40:00.960 --> 0:40:04.320
<v Speaker 11>like Chatchy BT standing up here.

0:40:06.080 --> 0:40:11.280
<v Speaker 2>Ool chat ChiPT getting a shout out presidential hopeful there,

0:40:11.360 --> 0:40:13.680
<v Speaker 2>Chris Christy. I mean he was attacking at the time

0:40:13.760 --> 0:40:16.480
<v Speaker 2>the other fellow candidate, vik Gramaswami, and this was more

0:40:16.520 --> 0:40:19.120
<v Speaker 2>about what he well, the way in which he says

0:40:19.160 --> 0:40:22.480
<v Speaker 2>that climate change is a hoax, for example. But interesting

0:40:22.480 --> 0:40:26.160
<v Speaker 2>that technology was so ingrained in last night's Republican predessidential debate.

0:40:26.920 --> 0:40:28.480
<v Speaker 5>That was the big takeaway for me. I think, you know,

0:40:28.520 --> 0:40:30.680
<v Speaker 5>he said that he sounded like chat GPT, but I

0:40:30.719 --> 0:40:32.280
<v Speaker 5>think you and I have both been over the search

0:40:32.400 --> 0:40:35.320
<v Speaker 5>data on Google Trends, right, So, Ramaswami, I think was

0:40:35.320 --> 0:40:40.080
<v Speaker 5>the most searched of the participants overnight. There's the data

0:40:40.120 --> 0:40:40.920
<v Speaker 5>that's astonishing.

0:40:41.280 --> 0:40:41.480
<v Speaker 3>You know.

0:40:41.840 --> 0:40:44.239
<v Speaker 5>I think he's kind of come into the public consciousness

0:40:44.239 --> 0:40:46.279
<v Speaker 5>because of last night. And at the same time, Caro,

0:40:46.600 --> 0:40:49.759
<v Speaker 5>you have a completely different on air discussion happening on

0:40:49.800 --> 0:40:50.640
<v Speaker 5>the platform X.

0:40:51.040 --> 0:40:54.480
<v Speaker 2>Yeah, I mean the rub for Fox, I suppose, having

0:40:54.800 --> 0:40:57.520
<v Speaker 2>said goodbye to Tucker Carlson and then at exactly the

0:40:57.520 --> 0:41:00.400
<v Speaker 2>same time he's busy interviewing Donald Trump f used to

0:41:00.400 --> 0:41:03.040
<v Speaker 2>come on the overall debates in an interview on X.

0:41:03.080 --> 0:41:06.160
<v Speaker 2>It was sort of counterprogramming, which of course is still

0:41:06.200 --> 0:41:07.320
<v Speaker 2>being fought out at the moment.

0:41:07.960 --> 0:41:08.160
<v Speaker 3>Yeah.

0:41:08.200 --> 0:41:11.160
<v Speaker 5>And from X's perspective, you know, video on that platform,

0:41:11.280 --> 0:41:13.200
<v Speaker 5>it raised a lot of questions. When I last looked

0:41:13.200 --> 0:41:15.880
<v Speaker 5>at the tweet, the videos post to it said two

0:41:16.000 --> 0:41:18.680
<v Speaker 5>hundred and ten million views, But does that really mean

0:41:18.719 --> 0:41:20.840
<v Speaker 5>two hundred and ten million people watch the full forty

0:41:20.840 --> 0:41:21.600
<v Speaker 5>six minute thing.

0:41:22.080 --> 0:41:23.120
<v Speaker 3>We have to find out, And I.

0:41:23.160 --> 0:41:25.359
<v Speaker 2>Wonder how Ronda Santas felt about it all of course,

0:41:25.400 --> 0:41:29.280
<v Speaker 2>having announced his run on X well, it was formerly

0:41:29.280 --> 0:41:31.399
<v Speaker 2>known as Twitter at that point, right, and it well

0:41:31.640 --> 0:41:35.600
<v Speaker 2>wasn't the most slick introduction as it happened, full of

0:41:35.640 --> 0:41:36.719
<v Speaker 2>tech issues at that point.

0:41:36.719 --> 0:41:39.120
<v Speaker 4>But meanwhile, no tick issues here. That does it for

0:41:39.160 --> 0:41:40.520
<v Speaker 4>this edition of Bloomberg Technology.

0:41:41.040 --> 0:41:43.520
<v Speaker 5>Yeah, massive week, massive show, all about in video, So

0:41:43.520 --> 0:41:46.920
<v Speaker 5>don't forget to recap on our podcast, Apple, Spotify, iHeart

0:41:46.960 --> 0:41:49.799
<v Speaker 5>and our Bloomberg platforms. We have one day in a

0:41:49.840 --> 0:41:52.040
<v Speaker 5>mega week to go from over in New York and

0:41:52.080 --> 0:41:53.120
<v Speaker 5>here in San Francisco.

0:41:53.480 --> 0:41:54.839
<v Speaker 3>This is Bloomberg Technology