1 00:00:14,200 --> 00:00:16,840 Speaker 1: I'm Caroline Hinna Blue Mugs World headquarters in New York, 2 00:00:17,280 --> 00:00:19,960 Speaker 1: and I made Ludlow in San Francisco. This is Bloomberg 3 00:00:19,960 --> 00:00:22,759 Speaker 1: Technology in Carolina, post fed rally for then as that 4 00:00:22,880 --> 00:00:26,400 Speaker 1: one progress in the battle and inflation warning on rates 5 00:00:26,400 --> 00:00:28,639 Speaker 1: and we haven't even got two earnings yet. Macro and 6 00:00:28,680 --> 00:00:31,240 Speaker 1: the micro is super important for certain names to ed. 7 00:00:31,320 --> 00:00:35,040 Speaker 1: Let's talk about it. Meta surging after earnings relief, plans 8 00:00:35,080 --> 00:00:37,959 Speaker 1: to buy back shares, the company focusing on efficiency, were 9 00:00:37,960 --> 00:00:40,040 Speaker 1: digging into the short term cost cuts and the long 10 00:00:40,120 --> 00:00:42,279 Speaker 1: term goals as it also wins quarter approval to buy 11 00:00:42,360 --> 00:00:47,440 Speaker 1: VR startup within plus my exclusive conversation with Palenteer CEO 12 00:00:47,840 --> 00:00:51,800 Speaker 1: Alex carp who has some pointed words for shareholders and 13 00:00:51,960 --> 00:00:54,840 Speaker 1: potential new hires and crypto hackers. Still more money than 14 00:00:54,880 --> 00:00:58,720 Speaker 1: ever before. In two that's as Cathy Woods ARC doubles 15 00:00:58,720 --> 00:01:01,880 Speaker 1: down on it's one million dollar talget for bitcoin. First, 16 00:01:02,160 --> 00:01:04,120 Speaker 1: I want to go straight to our bloome bag report 17 00:01:04,160 --> 00:01:06,480 Speaker 1: to Alex Brinka, who has all the key takeaways from 18 00:01:06,480 --> 00:01:09,000 Speaker 1: metas Zarnings addicts, what were the top lines? I mean, 19 00:01:09,040 --> 00:01:12,040 Speaker 1: the biggest thing here with this stock bub I think 20 00:01:12,120 --> 00:01:14,720 Speaker 1: is going to be the cost cutting. Meta has had 21 00:01:14,959 --> 00:01:17,319 Speaker 1: some kind of shaky ground with investors over the last 22 00:01:17,319 --> 00:01:20,000 Speaker 1: twelve months because of how much they say they're spending 23 00:01:20,040 --> 00:01:22,760 Speaker 1: on things like this far flung vision of the virtual 24 00:01:22,760 --> 00:01:25,680 Speaker 1: reality metaverse. Well, they have come back to earth, it seems, 25 00:01:25,840 --> 00:01:30,120 Speaker 1: and actually lower their expectations for three for their costs 26 00:01:30,200 --> 00:01:34,080 Speaker 1: to about eighty nine to billion dollars and expenses for 27 00:01:34,120 --> 00:01:36,480 Speaker 1: the year. I think the icing on the cake on 28 00:01:36,480 --> 00:01:40,160 Speaker 1: that that's probably exciting investors is the addition of forty 29 00:01:40,160 --> 00:01:43,280 Speaker 1: billion dollars to their share a purchase plan. Again. Metas 30 00:01:43,280 --> 00:01:46,240 Speaker 1: stock sold off the most ever, the most free year 31 00:01:46,280 --> 00:01:50,080 Speaker 1: ever in two It's recovered a little bit, certainly more today, 32 00:01:50,120 --> 00:01:52,160 Speaker 1: but adding a little bit to that buy back has 33 00:01:52,200 --> 00:01:55,160 Speaker 1: certainly got folks excited now in terms of the broader 34 00:01:55,240 --> 00:01:58,080 Speaker 1: market and what we might also see from Alphabet tomorrow. 35 00:01:58,240 --> 00:02:01,000 Speaker 1: I'm looking at the top line staments for the first 36 00:02:01,080 --> 00:02:04,360 Speaker 1: quarter for revenue, they're projecting at twenty six to twenty 37 00:02:04,400 --> 00:02:07,760 Speaker 1: eight and a half billion dollars. That basically straddles the 38 00:02:07,760 --> 00:02:10,639 Speaker 1: average analyst expectations. So I think there might be some 39 00:02:10,720 --> 00:02:13,120 Speaker 1: clues under the hood here that the general malaise in 40 00:02:13,160 --> 00:02:15,920 Speaker 1: the ad market is leveling off similar to what we 41 00:02:15,960 --> 00:02:18,560 Speaker 1: heard from Snap yesterday. But as the earnings call gets 42 00:02:18,560 --> 00:02:21,600 Speaker 1: started here, I'm sure that there'll be questions on both 43 00:02:21,680 --> 00:02:26,240 Speaker 1: costs metaverse aspirations and where that revenue stabilization is coming from. 44 00:02:26,400 --> 00:02:29,040 Speaker 1: And I'm sure competition with a company that you focus 45 00:02:29,080 --> 00:02:31,960 Speaker 1: a lot in on, which is TikTok. So it is 46 00:02:32,000 --> 00:02:34,840 Speaker 1: notable that we're getting that by that push up in 47 00:02:34,880 --> 00:02:37,080 Speaker 1: the shares, but we're still half of where we are 48 00:02:37,120 --> 00:02:39,480 Speaker 1: in the value of Meta stock from this time last 49 00:02:39,560 --> 00:02:42,480 Speaker 1: year anything in terms of where their market share is 50 00:02:42,520 --> 00:02:45,079 Speaker 1: looking all their own cannibalization with the fact that they're 51 00:02:45,240 --> 00:02:47,840 Speaker 1: you know, discounting giving cheap ads on reels for example, 52 00:02:47,960 --> 00:02:50,799 Speaker 1: exactly that that is that reels narrative is one that 53 00:02:50,840 --> 00:02:53,800 Speaker 1: was really big last earning cycle, and I'm sure they'll 54 00:02:53,800 --> 00:02:56,480 Speaker 1: get questions now. Reels is their answer to TikTok. It's 55 00:02:56,480 --> 00:02:58,480 Speaker 1: short form videos that served up to you based on 56 00:02:58,520 --> 00:03:01,400 Speaker 1: an algorithm. It's really dicky, and users are liking it, 57 00:03:01,440 --> 00:03:04,320 Speaker 1: and they've shown some kind of strides and getting users 58 00:03:04,320 --> 00:03:06,680 Speaker 1: on board and spending more time there. The problem is 59 00:03:06,760 --> 00:03:09,239 Speaker 1: it doesn't make as much money for them as other 60 00:03:09,280 --> 00:03:12,519 Speaker 1: places where they could serve ads on Facebook and Instagram. 61 00:03:12,600 --> 00:03:14,960 Speaker 1: So last earning cycle three months ago they said this 62 00:03:14,960 --> 00:03:17,320 Speaker 1: will be a twelve to eighteen month process until they 63 00:03:17,320 --> 00:03:20,720 Speaker 1: can close that gap a hundred percent. I'm sure folks 64 00:03:20,760 --> 00:03:22,760 Speaker 1: are looking to get an answer on the progress on 65 00:03:22,760 --> 00:03:24,560 Speaker 1: that front. Hey, Alex, As you wrote in the top 66 00:03:24,639 --> 00:03:27,519 Speaker 1: live blog, investors have been laser focused on spending. But 67 00:03:27,560 --> 00:03:30,640 Speaker 1: the number that caught my eyes this two billion Facebook 68 00:03:30,680 --> 00:03:34,080 Speaker 1: core platform use it based seventy million growth from the 69 00:03:34,080 --> 00:03:36,640 Speaker 1: same time last year. How surprising is that It's a 70 00:03:36,640 --> 00:03:39,040 Speaker 1: bit surprising. Remember, Facebook has been around for what almost 71 00:03:39,040 --> 00:03:41,760 Speaker 1: two decades now, so to see a rise of seventy 72 00:03:41,760 --> 00:03:45,800 Speaker 1: million users and actually clear that benchmark of two billion 73 00:03:45,840 --> 00:03:49,240 Speaker 1: people using Facebook every day is an interesting little number 74 00:03:49,400 --> 00:03:52,119 Speaker 1: for a platform that's been around for a while. They've 75 00:03:52,120 --> 00:03:54,600 Speaker 1: been making changes to Facebook. They've been bringing in things 76 00:03:54,640 --> 00:03:57,600 Speaker 1: like reels. It seems like they're listening to what users 77 00:03:57,600 --> 00:04:01,120 Speaker 1: are liking from perhaps other platforms and bringing that into 78 00:04:01,440 --> 00:04:04,080 Speaker 1: their legacy app. So I'm sure that they will be 79 00:04:04,080 --> 00:04:07,040 Speaker 1: bragging about that mark. Zuckerberg was in the statement in 80 00:04:07,080 --> 00:04:10,280 Speaker 1: the release about that and also about what he's calling 81 00:04:11,240 --> 00:04:14,080 Speaker 1: which is the Year of Efficiency. So those two things 82 00:04:14,240 --> 00:04:16,400 Speaker 1: definitely seem to be the top two that they are 83 00:04:16,440 --> 00:04:20,159 Speaker 1: selling to investors as they let out these earnings today. 84 00:04:20,400 --> 00:04:23,920 Speaker 1: Alex breenca just the perfect summation of all that we've 85 00:04:23,920 --> 00:04:26,040 Speaker 1: just got in the last hour or so. Let's get 86 00:04:26,279 --> 00:04:28,520 Speaker 1: even more of a deep dive for you. Debra Ajo 87 00:04:28,560 --> 00:04:31,159 Speaker 1: Williamson is with US Principle Analyst have written insider Intelligence, 88 00:04:31,200 --> 00:04:33,120 Speaker 1: and you were looking at the daily active users of 89 00:04:33,160 --> 00:04:36,320 Speaker 1: Facebook as well and the engagement. It's interesting both snap 90 00:04:36,360 --> 00:04:39,200 Speaker 1: on Facebook well met to the parent company showing people 91 00:04:39,240 --> 00:04:42,800 Speaker 1: are still coming to their platforms that adding eyeballs, but 92 00:04:43,040 --> 00:04:47,080 Speaker 1: what about the actual revenues about the ads that being bought. Yeah, well, 93 00:04:47,120 --> 00:04:49,039 Speaker 1: I mean it is a good sign, just to say 94 00:04:49,120 --> 00:04:51,640 Speaker 1: right straight out, it is a good sign that both 95 00:04:51,720 --> 00:04:55,040 Speaker 1: daily active users and monthly active users for a platform 96 00:04:55,120 --> 00:04:58,400 Speaker 1: like Facebook that is you know, quite quite old in 97 00:04:59,080 --> 00:05:03,400 Speaker 1: social network to terms, is still gaining right So there, 98 00:05:03,400 --> 00:05:06,400 Speaker 1: really you have to take that is as an important sign. 99 00:05:06,960 --> 00:05:09,880 Speaker 1: Um that said that, you know, I'm pretty confident that 100 00:05:10,000 --> 00:05:12,719 Speaker 1: the gains are mostly going to be outside of the 101 00:05:12,800 --> 00:05:16,440 Speaker 1: core advertising markets, which would be the United States and Europe. 102 00:05:16,960 --> 00:05:20,400 Speaker 1: Um and and that is where Meta has been able 103 00:05:20,440 --> 00:05:24,120 Speaker 1: to for a long time now generate a significant portion 104 00:05:24,160 --> 00:05:27,600 Speaker 1: of revenue be able to charge more for advertising, uh, 105 00:05:27,720 --> 00:05:31,440 Speaker 1: sophisticated advertisers. And so I think where you're seeing the 106 00:05:31,480 --> 00:05:34,159 Speaker 1: dichotomy here is UM and this is true for staff 107 00:05:34,200 --> 00:05:37,120 Speaker 1: as well. Is that because the growth is in areas 108 00:05:37,279 --> 00:05:40,919 Speaker 1: where there is UM you know, where underdeveloped markets or 109 00:05:41,240 --> 00:05:45,960 Speaker 1: um you know, underdeveloped advertising businesses. Uh, that is impacting 110 00:05:46,160 --> 00:05:51,159 Speaker 1: the the overall revenue picture for the company. Wells also 111 00:05:51,200 --> 00:05:53,440 Speaker 1: to be put into perspective, which I know you highlight 112 00:05:53,480 --> 00:05:55,720 Speaker 1: time and time again. I mean, this is an enormous 113 00:05:55,760 --> 00:05:58,080 Speaker 1: amount of revenue. This company is pulling in thirty two 114 00:05:58,120 --> 00:06:00,479 Speaker 1: billion on a quartity basis, more than a hundred and 115 00:06:00,520 --> 00:06:03,600 Speaker 1: sixteen on an annual But revenue is down and it's 116 00:06:03,640 --> 00:06:07,400 Speaker 1: been down for three straight. Court is now absolutely and 117 00:06:07,560 --> 00:06:09,560 Speaker 1: you know, if we pull back to look at the 118 00:06:09,600 --> 00:06:12,840 Speaker 1: full year, uh, you know, as we expected, Meta closed 119 00:06:12,839 --> 00:06:15,839 Speaker 1: the year with its first year over year decline in 120 00:06:15,960 --> 00:06:20,080 Speaker 1: AD revenue. But the downturn was slightly less than we thought, 121 00:06:20,200 --> 00:06:24,920 Speaker 1: about one percent versus are expected two percent decline. Uh. 122 00:06:25,120 --> 00:06:27,960 Speaker 1: But you know that's that's not actually a good sign 123 00:06:28,040 --> 00:06:32,359 Speaker 1: when you think and pull back to one which was 124 00:06:32,400 --> 00:06:36,360 Speaker 1: a year when worldwide AD revenue grew nearly thirty seven percent. 125 00:06:37,040 --> 00:06:39,960 Speaker 1: So we are we've seen a huge swing in the 126 00:06:40,000 --> 00:06:44,400 Speaker 1: performance of this company, partially because of external factors like 127 00:06:44,720 --> 00:06:48,520 Speaker 1: the worldwide economy, the changes that Apple made to its 128 00:06:48,560 --> 00:06:53,039 Speaker 1: privacy that affect the effectiveness and the efficiency of the advertising, 129 00:06:53,680 --> 00:06:56,680 Speaker 1: but also I mean it's true that I think when 130 00:06:56,720 --> 00:06:59,599 Speaker 1: you think about where Mark Zuckerberg has been focusing his 131 00:06:59,680 --> 00:07:02,920 Speaker 1: time and attention, it's been on the metaverse. And I 132 00:07:02,960 --> 00:07:05,560 Speaker 1: think to some extent last year he took his eye 133 00:07:05,600 --> 00:07:08,039 Speaker 1: off of the ball of the fact that Facebook and 134 00:07:08,080 --> 00:07:13,760 Speaker 1: Instagram are the two biggest worldwide social platforms and there's 135 00:07:13,760 --> 00:07:16,640 Speaker 1: still room to grow. And I think that was something 136 00:07:16,680 --> 00:07:20,760 Speaker 1: that I think they're trying to rectify now going into well, 137 00:07:20,760 --> 00:07:24,040 Speaker 1: he called three year of efficiency, which sounds very much 138 00:07:24,080 --> 00:07:26,520 Speaker 1: like something shareholders have wanted to hear for some time. 139 00:07:26,560 --> 00:07:29,840 Speaker 1: The other thing shareholders like to hear, Deborah, is buy 140 00:07:29,920 --> 00:07:32,720 Speaker 1: backs and more of them, Meta boosting their buy back 141 00:07:32,760 --> 00:07:36,080 Speaker 1: authorization by forty billion. We're sharing on the screen, Uh, 142 00:07:36,240 --> 00:07:39,760 Speaker 1: this chart? Is this just Meta buying its own dip? Yes? 143 00:07:39,800 --> 00:07:42,760 Speaker 1: So this is an area because insider intelligence focuses mostly 144 00:07:42,840 --> 00:07:45,680 Speaker 1: on looking at revenue and usage metrics, UM I can't 145 00:07:45,680 --> 00:07:49,360 Speaker 1: specifically comment on that, but I think anything just bottom 146 00:07:49,440 --> 00:07:53,080 Speaker 1: line that Meta is doing to you know, to improve 147 00:07:53,320 --> 00:07:57,560 Speaker 1: its its profitability, to reduce expenses, to you know, to 148 00:07:57,680 --> 00:08:00,880 Speaker 1: counteract this sort of revenue shortfall is going to be 149 00:08:00,960 --> 00:08:04,040 Speaker 1: good for the company. Deborrah Williamson, thank you so much 150 00:08:04,040 --> 00:08:07,040 Speaker 1: for joining us principal analysts and insider intelligence, and the 151 00:08:07,080 --> 00:08:10,080 Speaker 1: other story we can't get away from. Open ai introducing 152 00:08:10,280 --> 00:08:13,960 Speaker 1: a twenty dollar per month subscription for a premium version 153 00:08:14,200 --> 00:08:17,800 Speaker 1: of chat GPT. Chat GPT Plus will offer access to 154 00:08:17,880 --> 00:08:21,360 Speaker 1: the chat pot even during peak times, with faster responses 155 00:08:21,560 --> 00:08:24,480 Speaker 1: to type queries and early access to new features. Open 156 00:08:24,520 --> 00:08:27,800 Speaker 1: Ai is eagerly trying to find viable business models to 157 00:08:27,880 --> 00:08:30,559 Speaker 1: cover the high cost of running its products, including of course, 158 00:08:30,760 --> 00:08:34,800 Speaker 1: the multimillion billion dollar I should say deal with Microsoft. 159 00:08:43,080 --> 00:08:47,240 Speaker 1: Shares of Pelaton absolutely soaring as the company reported improved 160 00:08:47,320 --> 00:08:50,320 Speaker 1: cash flow and a narrower net loss in the last quarter. 161 00:08:50,520 --> 00:08:53,719 Speaker 1: CEO Barry McCarthy saying, the questions about the viability of 162 00:08:53,760 --> 00:08:57,440 Speaker 1: the business they put to bed? Have they joining us now? 163 00:08:57,559 --> 00:09:02,360 Speaker 1: Shretter Cajuria, director of Internet Pretty Research, ever care should 164 00:09:02,960 --> 00:09:06,480 Speaker 1: are they put to bed? Is extinction behind us? I 165 00:09:06,559 --> 00:09:08,920 Speaker 1: think so first, Paul, thanks for having me. I think 166 00:09:09,200 --> 00:09:12,080 Speaker 1: if a question is not about extinction anymore, I guess 167 00:09:12,160 --> 00:09:15,160 Speaker 1: the question is whether this is going to be an 168 00:09:15,200 --> 00:09:17,920 Speaker 1: epic comeback, which is what Barry said in his in 169 00:09:18,000 --> 00:09:21,360 Speaker 1: his letter, I call it a very very spractical comeback 170 00:09:21,720 --> 00:09:24,440 Speaker 1: right now with the free dash blows that they posted, 171 00:09:24,520 --> 00:09:28,679 Speaker 1: excluding some of the one supplier related costs, what is 172 00:09:29,120 --> 00:09:33,760 Speaker 1: becoming increasingly clear is that this business is self sustainable 173 00:09:34,320 --> 00:09:36,440 Speaker 1: on a free dash bow basis, which is what their 174 00:09:36,559 --> 00:09:40,920 Speaker 1: number one priority was. Board remains unclear is what how 175 00:09:40,960 --> 00:09:44,199 Speaker 1: should you think about growth for this company? You mentioned comeback. 176 00:09:44,240 --> 00:09:47,000 Speaker 1: We asked our own audience if they felt that this 177 00:09:47,080 --> 00:09:50,120 Speaker 1: was evidence of the Peloton come back. These are the results. 178 00:09:50,160 --> 00:09:56,240 Speaker 1: Pretty overwhelming. No, not convince sixty six of respondents. I 179 00:09:56,240 --> 00:09:59,000 Speaker 1: guess what is it that the consumer feels right now 180 00:09:59,080 --> 00:10:01,800 Speaker 1: for Peloton? But how do we assess the user base 181 00:10:01,840 --> 00:10:05,520 Speaker 1: and the growth potential based on the bullish commentary? For management, 182 00:10:05,760 --> 00:10:08,840 Speaker 1: there's certainly a very good fall line for those who 183 00:10:08,880 --> 00:10:12,959 Speaker 1: own the device. The NBA score remains very high. Uh, 184 00:10:13,000 --> 00:10:17,320 Speaker 1: the usage and engagement with the product remains very robust, 185 00:10:17,400 --> 00:10:20,160 Speaker 1: and the retention grades are intrinsically very high. For this 186 00:10:20,280 --> 00:10:22,280 Speaker 1: business when we compare them to some of the other 187 00:10:22,320 --> 00:10:27,040 Speaker 1: subscription based businesses. What is unclear is how many more 188 00:10:27,160 --> 00:10:31,920 Speaker 1: of these UH Internet connected home fitness equipment can they 189 00:10:31,960 --> 00:10:34,520 Speaker 1: sell in the market. What is the actual growth rate? 190 00:10:34,559 --> 00:10:37,960 Speaker 1: How fast is the industry blowing? And can Felton grow 191 00:10:38,040 --> 00:10:40,320 Speaker 1: faster than the overall industry? Are we tapping out of 192 00:10:40,320 --> 00:10:44,840 Speaker 1: the market opportunity or is it is this something that 193 00:10:44,920 --> 00:10:47,679 Speaker 1: can grow in the double digital thrate. The juries are well, 194 00:10:47,800 --> 00:10:49,520 Speaker 1: sorry to interrupted. I was going to say the jury 195 00:10:49,559 --> 00:10:51,680 Speaker 1: is out. As I look across the cell side reaction, 196 00:10:52,160 --> 00:10:55,920 Speaker 1: I guess the concern is we we believe Barry McCarthy 197 00:10:55,920 --> 00:10:58,760 Speaker 1: in the near term, we don't yet have any evidence 198 00:10:58,800 --> 00:11:01,600 Speaker 1: of what the growth story two or three years from now. 199 00:11:01,679 --> 00:11:05,200 Speaker 1: That seems to be the skepticism out there. That's exactly right. 200 00:11:05,240 --> 00:11:08,520 Speaker 1: So what is in their control was cutting down costs, 201 00:11:08,600 --> 00:11:13,280 Speaker 1: headcount reduction, variabilizing the cost from fixed costs of variable costs, 202 00:11:13,280 --> 00:11:18,360 Speaker 1: as well as UH inventory management, better inventory demand management, 203 00:11:18,360 --> 00:11:20,120 Speaker 1: and all that they have done. And it's in the 204 00:11:20,160 --> 00:11:22,480 Speaker 1: past and they've done a great job since very came 205 00:11:22,520 --> 00:11:24,920 Speaker 1: on board. What is not in their control is really 206 00:11:25,000 --> 00:11:27,960 Speaker 1: driving demand. How much of a balance will they need 207 00:11:28,000 --> 00:11:31,000 Speaker 1: to do with marketing spend to drive this incremental demand 208 00:11:31,360 --> 00:11:35,200 Speaker 1: uh and also maintain positive recshual profitability. And what is 209 00:11:35,280 --> 00:11:38,840 Speaker 1: also what is unclear among those who are not very 210 00:11:38,880 --> 00:11:42,440 Speaker 1: happy with Peloton is the recent shift in outsourcing their 211 00:11:42,480 --> 00:11:45,920 Speaker 1: customer service and so they experience that customers used to 212 00:11:46,000 --> 00:11:49,280 Speaker 1: have is not the same in terms of expecting the 213 00:11:49,480 --> 00:11:51,880 Speaker 1: you know, the the customer service that they have been 214 00:11:52,559 --> 00:11:56,319 Speaker 1: as well as the delivery expectations of the equipment. Yeah, 215 00:11:56,320 --> 00:11:59,400 Speaker 1: you've got to build your own. I'm I'm interested. Therefore, 216 00:11:59,480 --> 00:12:01,679 Speaker 1: in what they now need to prioritize and execute on. 217 00:12:01,880 --> 00:12:04,480 Speaker 1: Is it more important than these partnerships like the exporting 218 00:12:04,520 --> 00:12:07,040 Speaker 1: goods Amazon that they work out, or is it about 219 00:12:07,080 --> 00:12:10,000 Speaker 1: self investment ensuring that they are updating the act as 220 00:12:10,080 --> 00:12:12,880 Speaker 1: they need to, that they are improving customer services they 221 00:12:12,880 --> 00:12:15,360 Speaker 1: need to. It will be a blend of bolt Uh. 222 00:12:15,520 --> 00:12:19,400 Speaker 1: It is very clear that customer service needs to be 223 00:12:19,400 --> 00:12:21,640 Speaker 1: better than what it has been at the US and best, 224 00:12:21,960 --> 00:12:26,080 Speaker 1: but increasingly important is the incremental user base that they 225 00:12:26,080 --> 00:12:30,600 Speaker 1: will get. So the key growth drivers that they will 226 00:12:30,640 --> 00:12:33,880 Speaker 1: benefit from our not only the distribution partners that you 227 00:12:34,000 --> 00:12:37,120 Speaker 1: called out and increasing those who include include more retailers, 228 00:12:37,120 --> 00:12:40,640 Speaker 1: but also international markets. They launched tread in Australia they 229 00:12:40,679 --> 00:12:44,920 Speaker 1: could expand into different countries as well as product category 230 00:12:45,000 --> 00:12:49,400 Speaker 1: expansion and what they call fitnesses and service product which 231 00:12:49,440 --> 00:12:52,240 Speaker 1: is really the rental program, as well as certified creon 232 00:12:52,400 --> 00:12:54,719 Speaker 1: which is if you own some cells that you want 233 00:12:54,720 --> 00:12:57,360 Speaker 1: to sell that and that drives. Essentially, they are trying 234 00:12:57,360 --> 00:13:01,200 Speaker 1: to make it easy for an average customer do do 235 00:13:01,400 --> 00:13:05,560 Speaker 1: buy this relatively more expensive equipment right? They also relied, 236 00:13:05,600 --> 00:13:08,480 Speaker 1: of course on promotions and holiday season sales thanks to 237 00:13:08,760 --> 00:13:12,680 Speaker 1: Schwetter Cajurior Director of Internet Equity Research at Evercred. Now 238 00:13:12,720 --> 00:13:16,600 Speaker 1: coming up some of my exclusive conversation with Palenteers CEO 239 00:13:16,920 --> 00:13:21,840 Speaker 1: Alex Carp That is always come next, a fascinating combative conversation. 240 00:13:22,000 --> 00:13:38,120 Speaker 1: This is Bloomberg Palentier, the at times mysterious data analysis 241 00:13:38,200 --> 00:13:41,720 Speaker 1: software firm, is making more commercial deals. It's a change 242 00:13:41,720 --> 00:13:45,280 Speaker 1: of strategy for a company that's thrived in chaos, winning 243 00:13:45,320 --> 00:13:48,920 Speaker 1: government and military contracts from the pandemic and war in Ukraine. 244 00:13:49,080 --> 00:13:52,320 Speaker 1: I sat down for an exclusive interview with Palans CEO 245 00:13:52,400 --> 00:13:55,360 Speaker 1: Alex Carp and asked him how vestors should view him 246 00:13:55,440 --> 00:13:59,319 Speaker 1: his view on Silicon Valley and global text perspective on Palenteer. 247 00:13:59,400 --> 00:14:03,760 Speaker 1: Take listen, we are a company whose most important purpose 248 00:14:03,880 --> 00:14:07,199 Speaker 1: is to power the West to to even higher heights 249 00:14:07,559 --> 00:14:10,360 Speaker 1: in the commercial and in the government context. And we've 250 00:14:10,360 --> 00:14:12,640 Speaker 1: done this in any terror in the kinds of the pandemic, 251 00:14:12,679 --> 00:14:14,880 Speaker 1: and the context of war, in the context of data protection. 252 00:14:15,280 --> 00:14:17,280 Speaker 1: And you really can't do that if you're going to 253 00:14:17,400 --> 00:14:21,960 Speaker 1: also transfer those technologies indirectly directly your adversaries, and we've 254 00:14:22,000 --> 00:14:25,560 Speaker 1: never done it. You're talking on stage about how your 255 00:14:25,640 --> 00:14:28,800 Speaker 1: public company and you have a responsibility to your shareholders. 256 00:14:28,800 --> 00:14:31,640 Speaker 1: And at times in the last twenty years, shareholders have 257 00:14:31,720 --> 00:14:33,640 Speaker 1: complained to you like why are you doing this it's 258 00:14:33,720 --> 00:14:36,920 Speaker 1: loss making or why are you not doing that? And 259 00:14:37,400 --> 00:14:40,080 Speaker 1: we talked about your strategy. Investors haven't really cheered it. 260 00:14:40,120 --> 00:14:43,280 Speaker 1: If you clearly go off the share price performance, what 261 00:14:43,400 --> 00:14:45,600 Speaker 1: is your message to them today about the dealers are 262 00:14:45,600 --> 00:14:49,120 Speaker 1: announcing honest for that. So we are a company that 263 00:14:49,280 --> 00:14:52,960 Speaker 1: has a primary mission. The primary mission is to make 264 00:14:53,320 --> 00:14:58,080 Speaker 1: the West stronger and better whatever that mission has secondarily 265 00:14:58,280 --> 00:15:02,000 Speaker 1: led to to see one percent Tager over twenty years, 266 00:15:02,000 --> 00:15:04,720 Speaker 1: thirty five percent Kager in the US government and the 267 00:15:04,760 --> 00:15:06,640 Speaker 1: share price is the thing is I think a little 268 00:15:06,640 --> 00:15:09,200 Speaker 1: bit of a red herring because all teck us down. 269 00:15:09,240 --> 00:15:11,240 Speaker 1: I don't think our shares have been any more punished 270 00:15:11,240 --> 00:15:14,920 Speaker 1: than anyone else's. So if you are an investor and 271 00:15:14,960 --> 00:15:18,560 Speaker 1: you want to go long on transforming our country and 272 00:15:18,680 --> 00:15:21,720 Speaker 1: our allies, you have a home appound here. I have 273 00:15:21,920 --> 00:15:25,120 Speaker 1: never ever, ever wavered from that statement. And if you 274 00:15:25,160 --> 00:15:27,680 Speaker 1: don't want to invest in us because of that, you shouldn't. 275 00:15:27,680 --> 00:15:30,560 Speaker 1: And if you're invest in us thinking I'm gonna change, 276 00:15:30,560 --> 00:15:33,880 Speaker 1: you're making a mistake. You we lay our cards on 277 00:15:33,920 --> 00:15:38,120 Speaker 1: the table. There is nothing besides transparency, or we haven't. 278 00:15:38,760 --> 00:15:41,000 Speaker 1: When we went to the Ukraine, I didn't ask them 279 00:15:41,040 --> 00:15:43,320 Speaker 1: can you pay us? I said here's the product. If 280 00:15:43,360 --> 00:15:45,200 Speaker 1: I had gone to standard investor be like, well, you 281 00:15:45,200 --> 00:15:47,440 Speaker 1: can't do this until they pay you. When we started 282 00:15:47,440 --> 00:15:50,280 Speaker 1: off in America on the pandemic and in Britain, we said, look, 283 00:15:50,320 --> 00:15:53,720 Speaker 1: we can help. This is the primary mission of our company. 284 00:15:54,080 --> 00:15:56,960 Speaker 1: And I think where I'm very aligned with investors is 285 00:15:57,160 --> 00:16:00,280 Speaker 1: they're hearing the truth. I'm not saying, hey, we might 286 00:16:00,360 --> 00:16:03,320 Speaker 1: change this prosop policy. We might do crazy deals in 287 00:16:03,360 --> 00:16:07,080 Speaker 1: adversarial countries, we might put the other missions ahead of 288 00:16:07,080 --> 00:16:08,720 Speaker 1: our point. No. And by the way, I tell the 289 00:16:08,720 --> 00:16:12,600 Speaker 1: most important investors that every day Palntarians, and I tell 290 00:16:12,600 --> 00:16:15,480 Speaker 1: our retail investors, whom I revere that every time I 291 00:16:15,520 --> 00:16:18,640 Speaker 1: go on TV. And you know when you're buying, when 292 00:16:18,680 --> 00:16:21,480 Speaker 1: you buy a pounder in a spirit of transparency. You 293 00:16:21,680 --> 00:16:26,080 Speaker 1: yourself has sold stock regularly since the lockoff expiry in 294 00:16:26,840 --> 00:16:30,880 Speaker 1: one um, in the full, in the fairness of full transparency. 295 00:16:31,200 --> 00:16:34,640 Speaker 1: In the last year or so, I've only sold for 296 00:16:34,720 --> 00:16:38,000 Speaker 1: tax reasons. There's been no financial sales. I'm grateful to 297 00:16:38,000 --> 00:16:40,920 Speaker 1: be here with you in Palo Alto. I'm surprised to 298 00:16:40,960 --> 00:16:43,040 Speaker 1: be here with you in Palo Alto. You've you've talked 299 00:16:43,040 --> 00:16:48,320 Speaker 1: about monoculture in Silicon Valley. You moved the company to Colorado, 300 00:16:48,920 --> 00:16:51,680 Speaker 1: and you've not come back often in the last three 301 00:16:51,720 --> 00:16:55,120 Speaker 1: years because the Silicon Valley is obviously failed in this 302 00:16:55,200 --> 00:16:59,480 Speaker 1: mission to produce technology that's useful and that the useful 303 00:16:59,520 --> 00:17:01,600 Speaker 1: for the world. It makes it a better place. And 304 00:17:01,640 --> 00:17:04,400 Speaker 1: we were I think the first reasonably large company to leave, 305 00:17:05,040 --> 00:17:07,120 Speaker 1: and now I'm very happy to come back and say, look, 306 00:17:07,440 --> 00:17:10,960 Speaker 1: you know on occasion, you know, our position is a 307 00:17:11,000 --> 00:17:13,760 Speaker 1: position we're proud of. And be surrounded again by people 308 00:17:13,760 --> 00:17:17,000 Speaker 1: who disagree with me. There are many wokes engineers I 309 00:17:17,000 --> 00:17:18,879 Speaker 1: think those are words you've used, that have lost their 310 00:17:18,960 --> 00:17:22,160 Speaker 1: jobs recently at some tech giants. I know that you're 311 00:17:22,200 --> 00:17:25,119 Speaker 1: looking at growth. Are you open to hiring those engineers? 312 00:17:26,040 --> 00:17:28,520 Speaker 1: Do not join parent here if you're not willing to 313 00:17:28,520 --> 00:17:32,960 Speaker 1: support the US militaryans allies. You can have, by the way, 314 00:17:32,960 --> 00:17:35,800 Speaker 1: any political opinion you want, as long as that's not 315 00:17:35,920 --> 00:17:38,479 Speaker 1: a question for you. If it is a question for you, 316 00:17:38,600 --> 00:17:44,040 Speaker 1: do not punt here is not your home. Unapologetic, uncompromising. 317 00:17:44,480 --> 00:17:48,359 Speaker 1: You know, he knows where he stands. He is completely 318 00:17:48,400 --> 00:17:52,199 Speaker 1: comfortable with palenters offering to government, to security services. And 319 00:17:52,240 --> 00:17:54,240 Speaker 1: that was just a small glimpse of a man that 320 00:17:54,359 --> 00:18:05,120 Speaker 1: many in Silicon Valley of shunned because he has shunned them. 321 00:18:05,119 --> 00:18:07,480 Speaker 1: Welcome back to Bloomberg Technology and Caroline had in New 322 00:18:07,560 --> 00:18:09,600 Speaker 1: York and to end New and San Francisco and the 323 00:18:09,640 --> 00:18:13,480 Speaker 1: tech sector really getting lift off today, unsurprisingly from the 324 00:18:13,520 --> 00:18:16,560 Speaker 1: macro strands from the FED. Yeah yeah, And I think 325 00:18:16,560 --> 00:18:18,960 Speaker 1: I'm saying this is kind of the first big post 326 00:18:19,000 --> 00:18:21,560 Speaker 1: FED rally since July. And I go straight to one chart, 327 00:18:21,800 --> 00:18:24,840 Speaker 1: which is now DA futures jump, two year yield goes down. 328 00:18:24,880 --> 00:18:27,720 Speaker 1: It is a snapshot of the story, and we have 329 00:18:27,760 --> 00:18:30,359 Speaker 1: one of the great Bloomberg minds joining us at the 330 00:18:30,359 --> 00:18:31,840 Speaker 1: moment who can get into this. But my point is 331 00:18:31,920 --> 00:18:35,120 Speaker 1: very simple. Twenty five basis point hike and a warning 332 00:18:35,160 --> 00:18:38,120 Speaker 1: from pal that while they're making progress on inflation, they 333 00:18:38,240 --> 00:18:41,120 Speaker 1: still foresee hikes to come. So for the market, it's 334 00:18:41,119 --> 00:18:43,879 Speaker 1: about when does the policy pivot come. But in the 335 00:18:43,880 --> 00:18:47,120 Speaker 1: context of tech, you ask the question, higher rates discount 336 00:18:47,160 --> 00:18:49,400 Speaker 1: the present value of future profits, and that is why 337 00:18:49,440 --> 00:18:52,960 Speaker 1: we look so closely at the relationship between yields and 338 00:18:53,119 --> 00:18:55,920 Speaker 1: the NASA one NAZAC futures. In this case. You talked 339 00:18:55,960 --> 00:18:58,480 Speaker 1: about bitcoin earlier, but let's just talk about risk assets. 340 00:18:58,480 --> 00:19:00,920 Speaker 1: It was a pretty broadly I'm looking at them as 341 00:19:00,920 --> 00:19:03,879 Speaker 1: that one, but also more speculative corners of the market, 342 00:19:03,960 --> 00:19:06,760 Speaker 1: so the Arc Innovation ETA and also the Goldman Sachs 343 00:19:07,040 --> 00:19:10,359 Speaker 1: Nonprofitable Tech Index. In other words, these stocks that trade 344 00:19:10,359 --> 00:19:13,879 Speaker 1: at high wall extreme multiples, high multiples some relief for 345 00:19:13,920 --> 00:19:16,520 Speaker 1: them because they have also been the most downtrodden corners 346 00:19:16,520 --> 00:19:20,480 Speaker 1: of the market through this hiking cycle. And now we 347 00:19:20,520 --> 00:19:22,720 Speaker 1: start to look at there's some more positive future, and 348 00:19:22,760 --> 00:19:25,040 Speaker 1: that includes bitcoin, which, let's be honest, carry you and 349 00:19:25,080 --> 00:19:28,520 Speaker 1: I both said earlier it's a risk asset inflation hedge 350 00:19:28,760 --> 00:19:31,080 Speaker 1: not so much. Not yet, let's get into all of it. 351 00:19:31,160 --> 00:19:33,800 Speaker 1: We're really pleased to say back two days in a 352 00:19:33,880 --> 00:19:36,920 Speaker 1: row is about Lee's with us, and really you were 353 00:19:37,320 --> 00:19:41,320 Speaker 1: racing yourself for the technology reaction to this macro story. First, 354 00:19:41,359 --> 00:19:44,560 Speaker 1: let's dig into the tech starres and the rally on upwards. 355 00:19:44,600 --> 00:19:46,520 Speaker 1: This is because they've been the most beaten up of late. 356 00:19:47,000 --> 00:19:49,600 Speaker 1: Yes and Ed had a great summary, making my job 357 00:19:49,640 --> 00:19:52,320 Speaker 1: a lot easier, but a lot of textures really extended 358 00:19:52,359 --> 00:19:55,000 Speaker 1: their gains even hitting session highs. You have the legs 359 00:19:55,000 --> 00:19:59,119 Speaker 1: of neda Amazon alphabet all soaring north of two because, 360 00:19:59,480 --> 00:20:02,160 Speaker 1: let's face it, they were pummeled last year. They don't 361 00:20:02,200 --> 00:20:04,720 Speaker 1: really like rising interest rates because that's not good for them, 362 00:20:04,720 --> 00:20:07,840 Speaker 1: that's not good for their projected profits. So now it's 363 00:20:07,880 --> 00:20:10,480 Speaker 1: welcome used they're happy, they celebrated it, they cheered it. 364 00:20:10,720 --> 00:20:13,200 Speaker 1: As Ed mentioned, nastag is up two percent and it's 365 00:20:13,280 --> 00:20:16,159 Speaker 1: probably just going to be the start for them. And today, 366 00:20:16,160 --> 00:20:19,560 Speaker 1: of course, of Meta, I'm sure you're covered it. Also postmarket, 367 00:20:19,520 --> 00:20:22,720 Speaker 1: they're trading well because of sales speed and Rosie outlooks. 368 00:20:22,760 --> 00:20:25,119 Speaker 1: So maybe it's the start of a new regime. As 369 00:20:25,200 --> 00:20:28,640 Speaker 1: some people have said. On a daylight today, there's two 370 00:20:28,680 --> 00:20:31,119 Speaker 1: places I go, fed go on the Bloomberg term and 371 00:20:31,119 --> 00:20:32,840 Speaker 1: all just to get a sense of where we sit 372 00:20:33,240 --> 00:20:36,280 Speaker 1: with rates in this country. But then I go to bitcoin, 373 00:20:36,440 --> 00:20:39,400 Speaker 1: and you heard us talking about it bitcoin the risk 374 00:20:39,480 --> 00:20:43,240 Speaker 1: asset reaction is that a fair moved by me to 375 00:20:43,320 --> 00:20:46,879 Speaker 1: make it kind of is because so bitcoin, for some 376 00:20:46,960 --> 00:20:49,320 Speaker 1: reason dip a little bit around two thirty when power 377 00:20:49,400 --> 00:20:52,000 Speaker 1: were starting to speak, but since then it's soared four percent. 378 00:20:52,320 --> 00:20:54,600 Speaker 1: Last I checked before I walked over here, it was 379 00:20:54,880 --> 00:20:56,920 Speaker 1: it paired some of its games, but still up around 380 00:20:57,040 --> 00:20:59,840 Speaker 1: point three. So a lot of the people said that, 381 00:21:00,000 --> 00:21:03,399 Speaker 1: you know, this is like bitcoin is behaving like a texture. 382 00:21:03,440 --> 00:21:07,200 Speaker 1: So it's obviously rising as well. But I talked about 383 00:21:07,200 --> 00:21:09,879 Speaker 1: this yesterday. Arcane Research said that it's going to be 384 00:21:09,920 --> 00:21:12,360 Speaker 1: a bad month for a bitcoin because the FEDS path 385 00:21:12,520 --> 00:21:15,040 Speaker 1: is still unclear, Like, yes, we got a downshift today 386 00:21:15,240 --> 00:21:17,680 Speaker 1: only twenty five bibs, but then are we going to pause? 387 00:21:17,720 --> 00:21:20,120 Speaker 1: Are we gonna pivot? So it still remains to be seen, 388 00:21:20,119 --> 00:21:22,280 Speaker 1: but there are still some people who are very bullish 389 00:21:22,280 --> 00:21:24,440 Speaker 1: on bitcoin. I mean, it's worth remembering that quite often 390 00:21:24,440 --> 00:21:27,960 Speaker 1: the moves we see precisely after the FED announcement and 391 00:21:28,119 --> 00:21:31,800 Speaker 1: press conference are completely undone the next day, so we wait, 392 00:21:31,880 --> 00:21:35,640 Speaker 1: we watch for tomorrow's at price action. But longer term, 393 00:21:35,680 --> 00:21:38,520 Speaker 1: the bulls are still very bullish about bitcoin. I mean, 394 00:21:38,640 --> 00:21:41,560 Speaker 1: we're gonna sell past twenty three thousand, according to one 395 00:21:41,600 --> 00:21:44,920 Speaker 1: particular e t F queen. Yes, so twenty three thousand 396 00:21:45,000 --> 00:21:46,800 Speaker 1: is where we're at today. But according to the e 397 00:21:46,920 --> 00:21:49,240 Speaker 1: t F queen named Kathy Would, we're going to hit 398 00:21:49,480 --> 00:21:52,920 Speaker 1: one one million in the next decade, which is really 399 00:21:52,960 --> 00:21:55,800 Speaker 1: just seven years from now, and she said several reasons, 400 00:21:55,800 --> 00:22:00,359 Speaker 1: But then that's four thousand two higher from where we 401 00:22:00,400 --> 00:22:03,359 Speaker 1: are today, and one million is the base is the 402 00:22:03,400 --> 00:22:05,879 Speaker 1: bull case one point forty eight to be exactly, I 403 00:22:05,880 --> 00:22:07,960 Speaker 1: don't want to get it wrong. Her bear case is 404 00:22:07,960 --> 00:22:10,840 Speaker 1: two hundred fifty eight thousand, and her base case is 405 00:22:10,880 --> 00:22:13,879 Speaker 1: six two. So regardless of whether it's the bull, the 406 00:22:13,880 --> 00:22:16,639 Speaker 1: base or the bear, it's just kind of hard to 407 00:22:16,680 --> 00:22:19,280 Speaker 1: imagine how we will get there, especially if you look 408 00:22:19,320 --> 00:22:21,320 Speaker 1: at where we are today. But this isn't the first 409 00:22:21,359 --> 00:22:23,919 Speaker 1: time she said the one million targets. She's been reiterating 410 00:22:23,960 --> 00:22:26,040 Speaker 1: it in the past. She said is in November when 411 00:22:26,040 --> 00:22:29,120 Speaker 1: bitcoin was her bring fifteen thousand. So if there's one 412 00:22:29,160 --> 00:22:31,840 Speaker 1: thing I admire about Kathy, but it's how she sticks 413 00:22:31,880 --> 00:22:34,159 Speaker 1: to her guns. I mean a lot of people love her, 414 00:22:34,160 --> 00:22:36,960 Speaker 1: a lot of people dislike her. But if anything, she's 415 00:22:37,080 --> 00:22:40,239 Speaker 1: really a woman of conviction. I would say, all right, 416 00:22:40,280 --> 00:22:43,240 Speaker 1: Bloomberg's Isabel A a very busy day for you in 417 00:22:43,280 --> 00:22:45,439 Speaker 1: the cross Set team, and we still have a bit 418 00:22:45,480 --> 00:22:48,880 Speaker 1: of a cycle to go. Now, sticking with crypto, thieves 419 00:22:48,880 --> 00:22:52,800 Speaker 1: saw a record three point eight billion, yes billion worth 420 00:22:52,840 --> 00:22:57,320 Speaker 1: of cryptocurrency in two that according to Chain Analysis Research, 421 00:22:57,440 --> 00:23:01,320 Speaker 1: nearly half of it was from North Korea alone. Bloomberg's 422 00:23:01,359 --> 00:23:03,960 Speaker 1: Jeff Stone has been writing about this data and this 423 00:23:04,080 --> 00:23:07,320 Speaker 1: report and joins us. Now it's interesting because two stories, right, 424 00:23:07,480 --> 00:23:12,680 Speaker 1: a terrible year for crypto markets, but also a very 425 00:23:12,720 --> 00:23:16,840 Speaker 1: bad year for those that had cryptocurrencies stolen. Essentially, that's right, 426 00:23:16,880 --> 00:23:18,480 Speaker 1: and also a bad year for the people who are 427 00:23:18,680 --> 00:23:21,240 Speaker 1: stealing them in some ways if you use that logic, ed, 428 00:23:21,760 --> 00:23:26,160 Speaker 1: this is a huge number. One point seven billion of 429 00:23:26,200 --> 00:23:30,400 Speaker 1: that three point eight billion is stolen by North Korean hackers. 430 00:23:30,440 --> 00:23:33,240 Speaker 1: We know it's the same group, according to the United 431 00:23:33,240 --> 00:23:36,600 Speaker 1: States government that previously breached Sony years ago. If a 432 00:23:36,600 --> 00:23:39,320 Speaker 1: lot of your viewers will remember that and tried to 433 00:23:39,480 --> 00:23:43,200 Speaker 1: steal upwards of a billion dollars from Bangladesh's central bank 434 00:23:43,640 --> 00:23:45,880 Speaker 1: years ago too. So this is a busy hacking group 435 00:23:46,160 --> 00:23:48,879 Speaker 1: really focusing on the same area that a lot of 436 00:23:48,880 --> 00:23:52,320 Speaker 1: investors are too. Why why are they doing it? It 437 00:23:52,359 --> 00:23:55,560 Speaker 1: pays It helps them get around UH sanctions. You know, 438 00:23:56,200 --> 00:23:59,200 Speaker 1: the United Nations and the US obviously have come out 439 00:23:59,359 --> 00:24:02,960 Speaker 1: very forced against North Korea over the past few generations, 440 00:24:03,440 --> 00:24:07,600 Speaker 1: and cryptocurrency is harder to track, is easier to hide, 441 00:24:07,680 --> 00:24:11,040 Speaker 1: and most importantly, it's easy to steal. If you think 442 00:24:11,080 --> 00:24:13,720 Speaker 1: back at the way that U S intelligence agencies would 443 00:24:13,720 --> 00:24:17,639 Speaker 1: have assessed that North Korea was selling counterfeit cigarettes or 444 00:24:17,760 --> 00:24:21,720 Speaker 1: using other means to get around sanctions. UM, this is 445 00:24:21,800 --> 00:24:24,199 Speaker 1: the latest iteration of that. Hey, Jeff, we talked a 446 00:24:24,200 --> 00:24:28,760 Speaker 1: lot about UM North Korea uh it's role in this. 447 00:24:28,920 --> 00:24:30,520 Speaker 1: What about the other side of the table. What is 448 00:24:30,560 --> 00:24:34,399 Speaker 1: the US government, for example, doing to prevent theft like this? 449 00:24:35,240 --> 00:24:39,199 Speaker 1: The US is scrambling to educate companies and investors and 450 00:24:39,240 --> 00:24:44,840 Speaker 1: Americans about the risk involved here. UM. This group has 451 00:24:45,000 --> 00:24:49,080 Speaker 1: has really bullied UM cybersecurity defenders for a really long time. 452 00:24:49,160 --> 00:24:52,280 Speaker 1: So what the Treasury Department, for instance, is doing is 453 00:24:52,880 --> 00:24:58,639 Speaker 1: releasing bulletins and advising crypto companies and crypto adjacent companies 454 00:24:58,680 --> 00:25:02,760 Speaker 1: about the risk of hiring North Koreans who are posing 455 00:25:02,800 --> 00:25:06,560 Speaker 1: as none North Koreans in order to either gather intelligence 456 00:25:06,640 --> 00:25:11,040 Speaker 1: or work on projects or steal information for young next 457 00:25:11,400 --> 00:25:14,399 Speaker 1: anything that can be made safer. Protect your password, be 458 00:25:14,480 --> 00:25:19,200 Speaker 1: smart about which services you're using. Watch Bloomberg well said, 459 00:25:19,440 --> 00:25:22,560 Speaker 1: I love a little bit about Tease Bloomberg Jesston. It's 460 00:25:22,560 --> 00:25:24,240 Speaker 1: a fascinating story. One of the most word on the 461 00:25:24,320 --> 00:25:26,720 Speaker 1: terminal and indeed on dot com. So thanks are coming 462 00:25:26,720 --> 00:25:28,679 Speaker 1: on and talking all about it. I mean, while we've 463 00:25:28,680 --> 00:25:30,679 Speaker 1: got so much more to delve into intermn of earnings, 464 00:25:30,720 --> 00:25:33,479 Speaker 1: we've got the software maker diner Trace topping estimates, boosting 465 00:25:33,520 --> 00:25:35,480 Speaker 1: full your earnings outlook, we're going to be speaking with 466 00:25:35,560 --> 00:25:49,639 Speaker 1: the CEO, Rick McConnell back in a minute now. Chairs 467 00:25:49,680 --> 00:25:52,679 Speaker 1: of diner Trace jumped after the company posted better than 468 00:25:52,760 --> 00:25:57,399 Speaker 1: expected financial results but crucially also guidance. Dina Trace provides 469 00:25:57,440 --> 00:26:01,040 Speaker 1: software which helps companies monitor they can shooting systems and 470 00:26:01,119 --> 00:26:05,200 Speaker 1: identify performance issues with a keen focus on AI solutions. 471 00:26:05,240 --> 00:26:08,600 Speaker 1: AI of course it is. We're joining us now. Rick McConnell, 472 00:26:08,840 --> 00:26:11,439 Speaker 1: CEO of Diana Trace biggest jump to the shares I 473 00:26:11,480 --> 00:26:16,359 Speaker 1: think since March of and you give strong guidance, which 474 00:26:16,359 --> 00:26:19,720 Speaker 1: in this market is important for you. Was this about 475 00:26:20,000 --> 00:26:23,080 Speaker 1: pricing that you were able to win? Was it about 476 00:26:23,359 --> 00:26:26,120 Speaker 1: advantage over competition in terms of what you're offering. Talks 477 00:26:26,119 --> 00:26:28,720 Speaker 1: to us through what's driving that ability to give strong guidance? 478 00:26:29,440 --> 00:26:31,720 Speaker 1: Well ed, Thanks so much for having me. It really 479 00:26:31,760 --> 00:26:34,920 Speaker 1: is about the market for digital transformation overall, and then 480 00:26:34,920 --> 00:26:38,160 Speaker 1: observe ability our market which is around a fifty billion 481 00:26:38,200 --> 00:26:42,520 Speaker 1: dollar space specifically, and if you put those two elements together, 482 00:26:42,920 --> 00:26:46,240 Speaker 1: you have a huge array of customers that are moving 483 00:26:46,400 --> 00:26:50,680 Speaker 1: their workloads the cloud and as that happens, they need 484 00:26:50,800 --> 00:26:56,440 Speaker 1: software that delivers answers and intelligent automation. You talked about 485 00:26:56,480 --> 00:27:01,600 Speaker 1: AI earlier, Intelligent automation from data that enables them to 486 00:27:01,880 --> 00:27:05,120 Speaker 1: have the Broadway situational awareness to run their software environments. 487 00:27:06,440 --> 00:27:09,719 Speaker 1: I'm curious about competition and whether you're kind of winning 488 00:27:09,840 --> 00:27:14,240 Speaker 1: share or even displacing existing cloud platforms. We had Bill 489 00:27:14,320 --> 00:27:16,560 Speaker 1: mcdermotot on the show the other day of Service Now. 490 00:27:16,920 --> 00:27:19,119 Speaker 1: I know that Service now has kind of been moving 491 00:27:19,160 --> 00:27:22,960 Speaker 1: into this observe ability space. Talk to us about how 492 00:27:23,040 --> 00:27:26,840 Speaker 1: you're faring in that regard. Well, we're very synergistic with 493 00:27:26,880 --> 00:27:30,680 Speaker 1: Service now deployments. A good number of our customers would 494 00:27:30,680 --> 00:27:33,600 Speaker 1: have service now deployed, they still need the observe ability 495 00:27:33,600 --> 00:27:37,600 Speaker 1: expertise that we provide through our AI OPS platform to 496 00:27:37,800 --> 00:27:40,399 Speaker 1: enable their environments to work perfectly, which is what we 497 00:27:40,440 --> 00:27:43,280 Speaker 1: strive to do. And so that's that's what we typically 498 00:27:43,280 --> 00:27:47,639 Speaker 1: see the Service Now Generally. The biggest competitor that we 499 00:27:47,720 --> 00:27:50,960 Speaker 1: have is do it yourself d Y and that is 500 00:27:51,040 --> 00:27:55,919 Speaker 1: where customers today are using homegrown tools, open source a 501 00:27:56,000 --> 00:27:59,879 Speaker 1: variety of other solutions to create dashboards. A dashboard to 502 00:28:00,080 --> 00:28:03,520 Speaker 1: your red, yellow, green, is your software working? What it 503 00:28:03,600 --> 00:28:05,719 Speaker 1: doesn't tell you is where the problem is and how 504 00:28:05,720 --> 00:28:08,280 Speaker 1: to fix it. And again that's what we can do 505 00:28:08,320 --> 00:28:12,280 Speaker 1: at a very granular level within your I T ecosystem. 506 00:28:12,400 --> 00:28:15,159 Speaker 1: Let's talk about Davis. Let's talk about the AI power 507 00:28:15,240 --> 00:28:18,560 Speaker 1: behind Dina trace And what's interesting is you go to 508 00:28:18,600 --> 00:28:21,119 Speaker 1: the meta earning statement and they're talking about their powers 509 00:28:21,280 --> 00:28:24,520 Speaker 1: and AI we're all talking about chat, GBT and open AI. 510 00:28:24,840 --> 00:28:27,520 Speaker 1: How are you managing with talent at the moment, making 511 00:28:27,520 --> 00:28:29,520 Speaker 1: sure that you've got the right people, They're secure, they're 512 00:28:29,560 --> 00:28:32,560 Speaker 1: not suddenly being tempted away at great enormous expense to 513 00:28:32,600 --> 00:28:36,399 Speaker 1: other companies that wanted on artificial intelligence. We do a 514 00:28:36,480 --> 00:28:39,400 Speaker 1: lot of our R and D out of Austria, actually 515 00:28:39,440 --> 00:28:43,000 Speaker 1: European general. This is where the company was founded. And 516 00:28:43,080 --> 00:28:45,360 Speaker 1: while we have people all over the globe, that's really 517 00:28:45,400 --> 00:28:48,080 Speaker 1: our hub for R and D and it is a 518 00:28:48,440 --> 00:28:52,120 Speaker 1: fabulous community of developers that we've built over the course 519 00:28:52,160 --> 00:28:55,160 Speaker 1: of well more than a decade to create the AI 520 00:28:55,280 --> 00:28:57,680 Speaker 1: ops engine. And Davis that you you talk about your 521 00:28:57,760 --> 00:29:00,160 Speaker 1: line and talk to us a little bit of out, 522 00:29:00,160 --> 00:29:02,520 Speaker 1: you're also speaking very much to your investor base, it 523 00:29:02,560 --> 00:29:04,440 Speaker 1: feels like in the quotes in your press release, So 524 00:29:04,560 --> 00:29:09,400 Speaker 1: talking about investing thoughtfully, about managing a business prudently, about 525 00:29:09,480 --> 00:29:12,880 Speaker 1: ensuring that you've got growth and profitability, is that still 526 00:29:12,960 --> 00:29:15,840 Speaker 1: very much what you need amid these macro hidwins, you 527 00:29:15,920 --> 00:29:18,360 Speaker 1: have to keep talking about the bottom line and the 528 00:29:18,400 --> 00:29:23,000 Speaker 1: profitability the margins. I think this this is an environment 529 00:29:23,080 --> 00:29:25,200 Speaker 1: as as you are report on almost daily at this 530 00:29:25,320 --> 00:29:28,080 Speaker 1: point probably daily that growth at our cost is sort 531 00:29:28,120 --> 00:29:32,160 Speaker 1: of done. The good news is we have always managed 532 00:29:32,200 --> 00:29:35,040 Speaker 1: Dina Trace with a balance of top line and bottom 533 00:29:35,080 --> 00:29:37,960 Speaker 1: line growth, and the result of that is we see 534 00:29:38,320 --> 00:29:41,920 Speaker 1: mid twenties overall. The our our growth and mid twenties 535 00:29:41,960 --> 00:29:45,000 Speaker 1: profitability in terms are our pretty margin and high twenties 536 00:29:45,040 --> 00:29:48,040 Speaker 1: and pre cash flow. This is a model that investors 537 00:29:48,080 --> 00:29:52,320 Speaker 1: want today because it shows the cash flow generation capabilities 538 00:29:52,360 --> 00:29:55,320 Speaker 1: of the company and push us forward, go deep tech 539 00:29:55,360 --> 00:29:58,600 Speaker 1: for us, and go into the artificial intelligence vision that 540 00:29:58,720 --> 00:30:01,320 Speaker 1: you have right now. Because you all, as you say, 541 00:30:01,600 --> 00:30:05,840 Speaker 1: strategically investing, where do you invest how do you envision 542 00:30:05,840 --> 00:30:08,160 Speaker 1: in the next five ten years? For Time and Trace, 543 00:30:09,160 --> 00:30:13,040 Speaker 1: a few areas of major investment. One is around automation. Automation. 544 00:30:13,080 --> 00:30:16,200 Speaker 1: Automation you can imagine how companies are doing I T 545 00:30:16,360 --> 00:30:19,400 Speaker 1: operations and keeping their software working today. It's with an 546 00:30:19,520 --> 00:30:21,680 Speaker 1: army of people sitting in front of a sea of 547 00:30:21,720 --> 00:30:25,800 Speaker 1: glass screens looking at dashboards trying to figure out is 548 00:30:25,800 --> 00:30:28,280 Speaker 1: it working, is it not working? If it's not working, 549 00:30:28,320 --> 00:30:30,680 Speaker 1: how to fix it. So automation is one of those 550 00:30:30,720 --> 00:30:35,200 Speaker 1: areas of focus. Secondly, focusing on big data and big 551 00:30:35,280 --> 00:30:39,800 Speaker 1: data analytics and doing that in real time with no reindexing, 552 00:30:39,840 --> 00:30:44,080 Speaker 1: no rehydration of data stores to make it fast, scalable, 553 00:30:44,560 --> 00:30:48,680 Speaker 1: UH super performing. And thirdly, it is around application security, 554 00:30:49,000 --> 00:30:53,920 Speaker 1: which is yet another area that benefits benefits substantially from 555 00:30:54,000 --> 00:30:58,200 Speaker 1: being integrated deeply into your observe ability platforms. So those 556 00:30:58,240 --> 00:31:00,920 Speaker 1: three areas are areas of key focus for on our 557 00:31:01,000 --> 00:31:03,760 Speaker 1: D perspective. Rick, I'm gonna be a bit more direct 558 00:31:03,760 --> 00:31:05,800 Speaker 1: with you and ask the same question Caroline did. I'm 559 00:31:05,800 --> 00:31:07,560 Speaker 1: looking at how much cash you've got on your balance 560 00:31:07,600 --> 00:31:10,600 Speaker 1: sheet and you talk in the commentary Caroline cited from 561 00:31:10,640 --> 00:31:13,320 Speaker 1: your owning statement, are you going to hire people or 562 00:31:13,400 --> 00:31:15,280 Speaker 1: do layoffs? And are you going to do M and 563 00:31:15,360 --> 00:31:19,840 Speaker 1: are not planning on any layoffs? The good news is 564 00:31:19,920 --> 00:31:23,959 Speaker 1: based on the model that we've got ed, we've been 565 00:31:24,000 --> 00:31:27,400 Speaker 1: able to modulate the hiring to manage to that model, 566 00:31:27,560 --> 00:31:29,800 Speaker 1: and so we feel very good about we are where 567 00:31:29,840 --> 00:31:33,959 Speaker 1: we are, and we're continuing to grow headcounts accordingly. In 568 00:31:34,080 --> 00:31:37,440 Speaker 1: terms of in terms of other areas organic in organic, 569 00:31:37,920 --> 00:31:40,600 Speaker 1: we'll continue to expand the company is as we see 570 00:31:40,640 --> 00:31:43,680 Speaker 1: fit UH in an M and A area. We can 571 00:31:43,720 --> 00:31:46,760 Speaker 1: expand in that fashion as well with smaller tech tuk 572 00:31:46,840 --> 00:31:50,840 Speaker 1: ins to accelerate root maps. Rick, it's great to catch 573 00:31:50,880 --> 00:31:52,520 Speaker 1: up with you. Thank you so much for your time, 574 00:31:52,640 --> 00:31:55,360 Speaker 1: make mcconmoms you Dina traces in a long day. As 575 00:31:55,400 --> 00:31:57,120 Speaker 1: a things came out at six thirty a m. Eastern 576 00:32:05,240 --> 00:32:08,520 Speaker 1: impression growth was primarily driven by the Asia, Pacific and 577 00:32:08,640 --> 00:32:11,720 Speaker 1: Rest of World regions. The year over year decline in 578 00:32:11,800 --> 00:32:16,000 Speaker 1: pricing was primarily driven by strong impression growth, especially from 579 00:32:16,040 --> 00:32:21,360 Speaker 1: lower monetizing surfaces and regions, lower advertiser demand, and foreign 580 00:32:21,440 --> 00:32:26,560 Speaker 1: currency depreciation. While overall pricing remains under pressure from these factors, 581 00:32:27,000 --> 00:32:30,040 Speaker 1: we have continued to make improvements to our ads targeting 582 00:32:30,040 --> 00:32:33,440 Speaker 1: and measurement that we believe are driving more conversions and 583 00:32:33,520 --> 00:32:38,160 Speaker 1: better returns for advertisers seasonally. The CFO of Meta and 584 00:32:38,200 --> 00:32:41,040 Speaker 1: It's notable that Marks lack about really trying to hit 585 00:32:41,080 --> 00:32:43,360 Speaker 1: home on the point of efficiency again on the call, 586 00:32:43,480 --> 00:32:46,280 Speaker 1: is really talking about how they've entered a somewhat different phase. 587 00:32:46,920 --> 00:32:49,760 Speaker 1: They say of the company, they grew so quickly for 588 00:32:49,800 --> 00:32:52,320 Speaker 1: the like first eighteen years of the company's growth. This 589 00:32:52,600 --> 00:32:55,440 Speaker 1: is very hard to really crank on efficiency while you're 590 00:32:55,440 --> 00:32:58,760 Speaker 1: growing that quickly. Nest also though, and talk about where 591 00:32:58,800 --> 00:33:00,800 Speaker 1: they are growing in the longer term, and it's towards 592 00:33:00,800 --> 00:33:04,880 Speaker 1: a metaverse vision. It's towards perhaps well acquisitions in that field. 593 00:33:04,880 --> 00:33:06,800 Speaker 1: And they got their first victory, didn't they The Federal 594 00:33:06,840 --> 00:33:11,200 Speaker 1: Trade Commission, a federal judge has denied the FTC's request 595 00:33:11,240 --> 00:33:13,640 Speaker 1: to block metas plan to buy virtual reality start up 596 00:33:13,720 --> 00:33:17,080 Speaker 1: within Unlimited. But the judge also did prevent Meta from 597 00:33:17,080 --> 00:33:19,680 Speaker 1: closing that deal until the agency decides whether to appeal. 598 00:33:20,240 --> 00:33:22,800 Speaker 1: Let's get to near leet Nylon. Who joins us more 599 00:33:22,840 --> 00:33:27,040 Speaker 1: from Washington And really extraordinary the fact that well Nina 600 00:33:27,120 --> 00:33:29,560 Speaker 1: Kahn getting pushed back in this way. Many felt that 601 00:33:29,600 --> 00:33:32,040 Speaker 1: perhaps this has really her trying to be aggressive and 602 00:33:32,080 --> 00:33:35,960 Speaker 1: it's denied. Yes, that that was a little bit surprising. 603 00:33:36,360 --> 00:33:40,160 Speaker 1: The FTC can still appeal. Um, they have until probably 604 00:33:40,200 --> 00:33:42,680 Speaker 1: next week to decide that. The judge gave them a 605 00:33:42,720 --> 00:33:46,920 Speaker 1: one week extension on blocking the deal until then and 606 00:33:47,040 --> 00:33:51,120 Speaker 1: has called hearing next Tuesday. UM, so we'll we'll have 607 00:33:51,240 --> 00:33:53,080 Speaker 1: a little bit more than about whether they're going to 608 00:33:53,240 --> 00:33:55,320 Speaker 1: keep pushing to block the steel or sort of let 609 00:33:55,400 --> 00:33:57,880 Speaker 1: it through. Um. But this was sort of the big 610 00:33:57,920 --> 00:34:01,320 Speaker 1: first quote last for leader car FTC. You know, she 611 00:34:01,440 --> 00:34:05,160 Speaker 1: came into her role, UM, saying that the agency needs 612 00:34:05,160 --> 00:34:07,800 Speaker 1: to be much more aggressive block a lot more mergers. 613 00:34:08,200 --> 00:34:10,200 Speaker 1: They had filed a lawsuit against this one, and they 614 00:34:10,200 --> 00:34:13,920 Speaker 1: also have the pending one against Microsoft Activision, so UM, 615 00:34:14,000 --> 00:34:16,399 Speaker 1: it'll be interesting to see whether this one has any 616 00:34:16,440 --> 00:34:19,959 Speaker 1: impact on that one as well. Lea terrific reporting blue 617 00:34:20,000 --> 00:34:23,480 Speaker 1: Bug sources telling us essentially about this sealed decision from 618 00:34:23,520 --> 00:34:25,960 Speaker 1: the San Jose courts. And as you characterize it right, 619 00:34:25,960 --> 00:34:27,520 Speaker 1: you can either see it as a win for Meta 620 00:34:28,040 --> 00:34:31,560 Speaker 1: or a loss Felina Kahn. But there is an opportunity 621 00:34:31,640 --> 00:34:33,759 Speaker 1: here to appeal. So what are the chances that that 622 00:34:33,840 --> 00:34:37,840 Speaker 1: happens and that it is successful. Well, there's actually a 623 00:34:37,880 --> 00:34:40,640 Speaker 1: couple options for the FTC here. One thing that they 624 00:34:40,640 --> 00:34:43,080 Speaker 1: could do is appeal to the Ninth Circuit Court of 625 00:34:43,080 --> 00:34:47,279 Speaker 1: Appeals in California Um. This judge is ruling directly um, 626 00:34:47,320 --> 00:34:51,440 Speaker 1: and then the Ninth Circuit would rule on whether Meta 627 00:34:51,560 --> 00:34:55,560 Speaker 1: could go forward with the seal or um whether it 628 00:34:55,600 --> 00:34:59,080 Speaker 1: remains blocked. The other option is the FTC could let 629 00:34:59,160 --> 00:35:03,759 Speaker 1: Meta close there us and then go into its administrative court, 630 00:35:03,960 --> 00:35:07,040 Speaker 1: and then there would be a longer trial focused on 631 00:35:07,080 --> 00:35:09,239 Speaker 1: the deal, and at the end of that if the 632 00:35:09,280 --> 00:35:13,200 Speaker 1: FTC wins, it could ask um Matta to sell this off. 633 00:35:13,239 --> 00:35:17,160 Speaker 1: That's not too unlike what they're doing now with Meta 634 00:35:17,239 --> 00:35:20,400 Speaker 1: over the Instagram and WhatsApp deals. So UM they have 635 00:35:20,480 --> 00:35:22,920 Speaker 1: a couple options for how they want to go forward. 636 00:35:23,120 --> 00:35:24,840 Speaker 1: The third option, of course, would be sort of just 637 00:35:24,880 --> 00:35:28,759 Speaker 1: to drop the lawsuit altogether and you know, let Meta 638 00:35:28,840 --> 00:35:32,279 Speaker 1: move forward with UM closing the steel next week. Over 639 00:35:32,320 --> 00:35:36,080 Speaker 1: to you, FTC, Leon Island. It's great reporting. Thank you 640 00:35:36,160 --> 00:35:38,600 Speaker 1: so much for bringing us that, and let's dig in. 641 00:35:38,760 --> 00:35:42,719 Speaker 1: I mean, many had questioned the overall focus of the 642 00:35:42,800 --> 00:35:45,759 Speaker 1: chain name in change, the focus on twenty thirties when 643 00:35:45,760 --> 00:35:49,240 Speaker 1: you eventually get profitability from these investments in reality labs, 644 00:35:49,239 --> 00:35:51,759 Speaker 1: in acquisitions such as within ed. But the here and 645 00:35:51,800 --> 00:35:54,000 Speaker 1: the now, the investors are liking this focus in the 646 00:35:54,000 --> 00:35:58,200 Speaker 1: near term on efficiency. This is the year of efficiency, 647 00:35:58,480 --> 00:36:01,759 Speaker 1: and that's it. The slogan for Meta is secured first 648 00:36:01,800 --> 00:36:04,879 Speaker 1: earnings report. It's absolutely brilliant. It's interesting because of course 649 00:36:04,920 --> 00:36:07,120 Speaker 1: he's being asked about generative AI on the call, right, 650 00:36:07,360 --> 00:36:09,760 Speaker 1: and he says, I'm equally as excited as everyone else, 651 00:36:10,080 --> 00:36:13,040 Speaker 1: but not at the expense of efficiency. This is a 652 00:36:13,120 --> 00:36:16,960 Speaker 1: very dull Mark Zuckerberg. We've come into three week I 653 00:36:17,000 --> 00:36:20,319 Speaker 1: mean learned lessons. There were some investors pushing hard. They 654 00:36:20,360 --> 00:36:22,720 Speaker 1: wanted to see a pull back in terms of capital spending. 655 00:36:22,719 --> 00:36:25,879 Speaker 1: And look, maybe we will see more job cuts. There's 656 00:36:25,920 --> 00:36:29,319 Speaker 1: talking about that middle management that still perhaps is under 657 00:36:29,360 --> 00:36:32,120 Speaker 1: a lot of focus in terms of the effectiveness of 658 00:36:32,160 --> 00:36:35,680 Speaker 1: having that. Really, this doesn't look like a fascinating overall 659 00:36:35,680 --> 00:36:38,080 Speaker 1: call is to and I wonder if this share price 660 00:36:38,120 --> 00:36:41,399 Speaker 1: reaction holds into tomorrow. Yeah, we'll have to wait and see, 661 00:36:41,480 --> 00:36:44,360 Speaker 1: you know, analysts, night's sleep on it. We'll see that 662 00:36:44,480 --> 00:36:46,560 Speaker 1: does it With this addition of Bloomberg Technology, of course, 663 00:36:46,600 --> 00:36:48,880 Speaker 1: tons and tons and tons of tech earnings Thursday and 664 00:36:49,000 --> 00:36:51,799 Speaker 1: unpack at all and don't forget a lot to wrap 665 00:36:51,920 --> 00:36:54,520 Speaker 1: up on our podcast. Check it out Spotify, I Heart 666 00:36:54,840 --> 00:36:58,000 Speaker 1: or an Apple podcast wherever you get your podcast. This 667 00:36:58,440 --> 00:36:59,080 Speaker 1: is Bloomberg