1 00:00:02,920 --> 00:00:10,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,840 --> 00:00:15,040 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:15,040 --> 00:00:17,520 Speaker 1: Eastern on Apple car Playing and broud Otto with the 4 00:00:17,520 --> 00:00:21,400 Speaker 1: Bloomberg Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,640 --> 00:00:24,480 Speaker 1: or watch us live on YouTube. 6 00:00:25,120 --> 00:00:25,680 Speaker 2: More news. 7 00:00:25,720 --> 00:00:28,200 Speaker 3: Manus out of our good friends at Tesla. Tesla cuts 8 00:00:28,320 --> 00:00:33,720 Speaker 3: roughly forty person growth content advertising team, so they're elimiting 9 00:00:33,800 --> 00:00:36,920 Speaker 3: the marketing team is part of those layoffs. That's according 10 00:00:36,960 --> 00:00:40,760 Speaker 3: people familiar with the matter. Here, stock off four percent today, 11 00:00:40,800 --> 00:00:43,600 Speaker 3: fifty two week low down forty three percent a year 12 00:00:43,640 --> 00:00:45,320 Speaker 3: to date. Let's check in with Steve Man. He's a 13 00:00:45,360 --> 00:00:48,199 Speaker 3: global autos analyst for Bloomberg Intelligence. He joins us from 14 00:00:48,200 --> 00:00:51,519 Speaker 3: the Princeton campus and I mean campus down there. It 15 00:00:51,600 --> 00:00:53,239 Speaker 3: is beautiful down there in Princeton. That's kind of where 16 00:00:53,240 --> 00:00:55,960 Speaker 3: we got a lot of the Bloomberg Intelligence folks housed 17 00:00:56,080 --> 00:00:59,160 Speaker 3: down there. Steve, this is brutal here. Let's start with 18 00:00:59,200 --> 00:01:02,760 Speaker 3: something basic, which is really the fundamental issue here, which 19 00:01:02,800 --> 00:01:07,800 Speaker 3: is pricing. I believed mister Musk cut prices. Again, if 20 00:01:07,840 --> 00:01:09,119 Speaker 3: he wakes up on the wrong side of the bed, 21 00:01:09,160 --> 00:01:11,639 Speaker 3: does he cut prices? What's going on with the pricing 22 00:01:11,640 --> 00:01:12,520 Speaker 3: and Testa these days. 23 00:01:13,440 --> 00:01:15,920 Speaker 4: There's a lot of things going on at Tesla right now. 24 00:01:15,959 --> 00:01:21,360 Speaker 4: Bruto is probably not it's that's mildly calling it. You know, 25 00:01:21,520 --> 00:01:24,200 Speaker 4: we always thought that they will have to reverse prices. 26 00:01:25,120 --> 00:01:27,520 Speaker 4: We're not sure why. You know, early in the year 27 00:01:27,600 --> 00:01:31,920 Speaker 4: they increase prices. But you know, price prices have been 28 00:01:31,959 --> 00:01:35,080 Speaker 4: dropped in the US, prices over the weekend, it's been 29 00:01:35,160 --> 00:01:39,240 Speaker 4: dropped in China. China is a different quite different market. 30 00:01:39,440 --> 00:01:45,480 Speaker 4: It's hyper competitive. Everybody's cutting prices, especially by d early 31 00:01:45,520 --> 00:01:48,240 Speaker 4: in the year and late last year. So we're not 32 00:01:48,320 --> 00:01:51,040 Speaker 4: surprised going to cut prices. The question is, you know, 33 00:01:51,080 --> 00:01:53,440 Speaker 4: where are the earnings going to be? And there's gonna 34 00:01:53,440 --> 00:01:55,560 Speaker 4: be a lot of questions that Elon must has to 35 00:01:55,600 --> 00:01:58,400 Speaker 4: answer tomorrow at their earnings call. 36 00:02:02,080 --> 00:02:04,080 Speaker 5: Yep uh. Web Bush Securities were with me a couple 37 00:02:04,120 --> 00:02:05,640 Speaker 5: of weeks ago and they said, it's a hurricane five 38 00:02:05,640 --> 00:02:08,799 Speaker 5: storm coming towards him. That's gone from a Cinderella story 39 00:02:08,840 --> 00:02:12,200 Speaker 5: to that. But who if you look at BYD, if 40 00:02:12,200 --> 00:02:16,079 Speaker 5: you look at Lee, and you look at Tesla, they're 41 00:02:16,120 --> 00:02:19,560 Speaker 5: all cutting prices. So is is is this the bottom 42 00:02:19,639 --> 00:02:22,680 Speaker 5: of that cycle? Has Tesla got the capacity to weather 43 00:02:22,960 --> 00:02:25,040 Speaker 5: a price cutting storm in China. 44 00:02:26,080 --> 00:02:28,560 Speaker 4: That's a good question. I don't think it's the end 45 00:02:28,600 --> 00:02:34,000 Speaker 4: of it. We're actually seeing second quarter sales to be uh, 46 00:02:34,040 --> 00:02:36,160 Speaker 4: you know, uh probably the same as what we saw 47 00:02:36,160 --> 00:02:40,000 Speaker 4: in the first quarter. And remember our first quarter Tesla 48 00:02:40,080 --> 00:02:43,959 Speaker 4: actually in the industry itself actually show uh slower growth 49 00:02:44,000 --> 00:02:48,200 Speaker 4: and even some declinentes uh for certain automakers like Tesla. 50 00:02:48,440 --> 00:02:51,320 Speaker 4: So uh, you know, second quarter is not gonna be 51 00:02:51,560 --> 00:02:55,960 Speaker 4: pretty as well. And I think Tesla, you know, fortunately 52 00:02:56,040 --> 00:02:58,360 Speaker 4: for them, they are pr They are still the only 53 00:02:58,440 --> 00:03:02,840 Speaker 4: profitable EV maker in the industry right now. You know, 54 00:03:02,960 --> 00:03:06,679 Speaker 4: they have about seventeen percent gross margin compared to four 55 00:03:06,800 --> 00:03:09,840 Speaker 4: in GM. They're at you know, single high single digit, 56 00:03:10,440 --> 00:03:12,680 Speaker 4: so you know, they do have some room to give. 57 00:03:13,040 --> 00:03:15,480 Speaker 4: And you know, I think part of it is really 58 00:03:15,960 --> 00:03:19,000 Speaker 4: they're they're really hoping, Tesla is really hoping to drive 59 00:03:19,080 --> 00:03:22,400 Speaker 4: more volume, generate more cash. And you know, one of 60 00:03:22,480 --> 00:03:24,799 Speaker 4: the things that they want to get to sooner than 61 00:03:24,880 --> 00:03:28,640 Speaker 4: rather than later is really to you know, monetize that 62 00:03:28,800 --> 00:03:32,520 Speaker 4: robo taxi. All the investment they've made in AI and 63 00:03:32,680 --> 00:03:33,880 Speaker 4: autonomous vehicles. 64 00:03:34,480 --> 00:03:37,640 Speaker 3: Gross margin is seventy percent, is that just on the 65 00:03:37,800 --> 00:03:42,080 Speaker 3: manufact on the manufacturing side, or is that with the 66 00:03:42,120 --> 00:03:44,440 Speaker 3: credits and so on and so forth, Because my question is, 67 00:03:44,520 --> 00:03:46,400 Speaker 3: you know, if they start cutting prices, are they going 68 00:03:46,440 --> 00:03:48,080 Speaker 3: to sacrifice unit profitability? 69 00:03:49,200 --> 00:03:53,360 Speaker 4: Yeah, the seventeen percent thinking autumn, Yeah, seventeen is on 70 00:03:53,400 --> 00:03:58,560 Speaker 4: the automotive side. Look, they you know, we're hoping they 71 00:03:58,600 --> 00:04:02,400 Speaker 4: don't cut more prices because seventeen percent is not as 72 00:04:02,440 --> 00:04:06,560 Speaker 4: good as the mid twenty percent they were getting last 73 00:04:06,600 --> 00:04:10,040 Speaker 4: year and the year before. And cutting prices is not 74 00:04:10,280 --> 00:04:13,960 Speaker 4: the not the solution. You know, the industry does not 75 00:04:14,200 --> 00:04:17,080 Speaker 4: need to be in that spiral of cutting tit for 76 00:04:17,160 --> 00:04:20,919 Speaker 4: tat price cuts. It's gonna hurt everyone, and at the 77 00:04:20,920 --> 00:04:24,760 Speaker 4: same time, it's gonna hurt you know, the GMS and 78 00:04:24,839 --> 00:04:29,040 Speaker 4: four because it doesn't really make it, you know, feasible 79 00:04:29,160 --> 00:04:31,440 Speaker 4: even for them to roll out a cheaper model down 80 00:04:31,480 --> 00:04:34,120 Speaker 4: the road. So, you know, what we're trying to do 81 00:04:34,320 --> 00:04:37,560 Speaker 4: is create greater adoption in the EV market, in the 82 00:04:37,600 --> 00:04:41,880 Speaker 4: EV industry for every consumer, and cutting prices is gonna 83 00:04:42,080 --> 00:04:44,400 Speaker 4: you know, weed out a lot of the competition that 84 00:04:44,440 --> 00:04:49,039 Speaker 4: are actually trying to introduce a more affordable model for 85 00:04:49,080 --> 00:04:51,960 Speaker 4: the for the market, for the greater market Steve, I mean. 86 00:04:51,839 --> 00:04:56,719 Speaker 5: We can debate adaptability in China in the United States 87 00:04:56,720 --> 00:05:00,400 Speaker 5: of America forever. I mean the infrastructure is one could 88 00:05:00,400 --> 00:05:03,240 Speaker 5: coin phrase probably not there again, going back to a 89 00:05:03,279 --> 00:05:05,480 Speaker 5: web Bush note delivered in my inbox this morning by 90 00:05:05,600 --> 00:05:08,320 Speaker 5: Dan Ives, which is it comes down to delivering a 91 00:05:08,360 --> 00:05:11,320 Speaker 5: model TO in the next twelve to eighteen months to 92 00:05:11,400 --> 00:05:14,599 Speaker 5: deliver a second wave of growth. If they don't deliver 93 00:05:14,720 --> 00:05:17,359 Speaker 5: a new model TO, that growth will not come and 94 00:05:17,480 --> 00:05:21,280 Speaker 5: robotaxis would be a tragic gamble in our opinion, as 95 00:05:21,320 --> 00:05:24,359 Speaker 5: full autonomy we do not see until twenty thirty. This 96 00:05:24,440 --> 00:05:27,080 Speaker 5: comes down to innovation in model two at the base, 97 00:05:27,160 --> 00:05:27,560 Speaker 5: doesn't it. 98 00:05:28,440 --> 00:05:32,839 Speaker 4: Yeah, Model two is important. I think what the industry 99 00:05:32,880 --> 00:05:35,440 Speaker 4: is looking for and what investors are looking for is 100 00:05:35,560 --> 00:05:40,440 Speaker 4: looking They're looking for more affordable models for consumers so 101 00:05:40,480 --> 00:05:44,440 Speaker 4: that the penetration rates, so the addressable market for EV. Actually, 102 00:05:45,120 --> 00:05:48,279 Speaker 4: it's going to be greater than what it is today now. 103 00:05:48,680 --> 00:05:53,239 Speaker 4: Like I said earlier, Tesla it has been aggressive, probably 104 00:05:53,240 --> 00:05:57,960 Speaker 4: the most aggressive and cunning EV prices, and they've redesigned 105 00:05:57,960 --> 00:06:00,960 Speaker 4: a vehicle that they can manufacturing at a lower cost 106 00:06:01,000 --> 00:06:03,120 Speaker 4: than you know, than it is today. 107 00:06:03,640 --> 00:06:04,920 Speaker 2: So you know, they. 108 00:06:04,800 --> 00:06:08,080 Speaker 4: Could launch a model to the other option. You know, 109 00:06:08,120 --> 00:06:10,360 Speaker 4: I don't think the market has really talked about is 110 00:06:10,920 --> 00:06:14,880 Speaker 4: you know, the price cutting will allow them potential, the 111 00:06:14,920 --> 00:06:18,320 Speaker 4: cost cutting will probably allow him the cut prices even further. 112 00:06:18,680 --> 00:06:21,279 Speaker 4: You know, it wouldn't be a surprise down the road 113 00:06:21,320 --> 00:06:25,080 Speaker 4: that they're going to offer the model three below thirty thousand, 114 00:06:25,360 --> 00:06:28,080 Speaker 4: you know, if they can manage that costs wisely. 115 00:06:28,640 --> 00:06:32,360 Speaker 3: Hey, Steve, After the close tomorrow, Tesla will report numbers. 116 00:06:32,360 --> 00:06:34,720 Speaker 3: They have a conference called five thirty pm Wall Street Time. 117 00:06:34,920 --> 00:06:38,800 Speaker 3: What does Elon Musk need? What message does he need 118 00:06:38,839 --> 00:06:41,200 Speaker 3: to get across to kind of you know, shore up 119 00:06:41,200 --> 00:06:42,000 Speaker 3: this stock price. 120 00:06:41,839 --> 00:06:45,520 Speaker 4: Here well as you know, the stock price is you know, 121 00:06:45,920 --> 00:06:51,480 Speaker 4: mostly driven by the anticipation of robotaxi, of autonomous vehicle 122 00:06:51,520 --> 00:06:54,680 Speaker 4: of AI. I think what he needs really needs to 123 00:06:54,720 --> 00:06:58,120 Speaker 4: come out and tell people, give certain milestones for the 124 00:06:58,160 --> 00:07:02,200 Speaker 4: investors to follow. Understand, you know, how he's taking that 125 00:07:02,320 --> 00:07:07,760 Speaker 4: company forward into you know, into the next decade, how 126 00:07:07,800 --> 00:07:10,320 Speaker 4: his robotaxi is going to generate the revenue and the 127 00:07:10,320 --> 00:07:15,480 Speaker 4: profit that he's so much been advocating for. So, you know, 128 00:07:15,800 --> 00:07:18,920 Speaker 4: automotive business. We all know it's it's it's a small 129 00:07:18,960 --> 00:07:22,840 Speaker 4: part it's in terms of valuation, but they you know, 130 00:07:22,880 --> 00:07:24,960 Speaker 4: I think Elon Musk and the company really needs to 131 00:07:25,000 --> 00:07:28,320 Speaker 4: come out to make the investor feel comfortable that he 132 00:07:28,400 --> 00:07:31,000 Speaker 4: is still on track and there is a light at 133 00:07:31,040 --> 00:07:33,280 Speaker 4: the end of the tunnel sooner rather than later. 134 00:07:34,240 --> 00:07:38,920 Speaker 3: Is there a sense that he's focused enough on this 135 00:07:39,000 --> 00:07:41,560 Speaker 3: company here? Is there still that concern that he spread 136 00:07:41,680 --> 00:07:42,040 Speaker 3: too thin? 137 00:07:42,120 --> 00:07:42,560 Speaker 2: Do you think? 138 00:07:44,680 --> 00:07:47,480 Speaker 4: I don't think so. I think, you know, he's He's 139 00:07:47,520 --> 00:07:51,080 Speaker 4: one person. I mean, he's done a lot with SpaceX uh, 140 00:07:51,280 --> 00:07:54,400 Speaker 4: he's done a lot with Tesla obviously, and I think 141 00:07:54,440 --> 00:07:57,840 Speaker 4: he's even though there's been some departure, I think still 142 00:07:57,880 --> 00:08:01,120 Speaker 4: I think he still has a very very strong behind him. 143 00:08:01,360 --> 00:08:03,760 Speaker 4: He's still hiring a lot for the AI for the 144 00:08:03,920 --> 00:08:08,120 Speaker 4: town of his vehicle business. So I'm not too concern 145 00:08:08,200 --> 00:08:11,760 Speaker 4: at the moment. I think communication is key for the 146 00:08:11,840 --> 00:08:15,680 Speaker 4: company in the next you know, tomorrow, in the next 147 00:08:15,720 --> 00:08:19,160 Speaker 4: few weeks yep, and through August eighth, when he actually 148 00:08:19,200 --> 00:08:22,400 Speaker 4: reveals his ROBOTAXI. 149 00:08:21,800 --> 00:08:23,400 Speaker 3: Oh, okay, all right, Well I'm going to listen to 150 00:08:23,400 --> 00:08:26,320 Speaker 3: this call tomorrow, so that'll be interesting. I think I 151 00:08:26,320 --> 00:08:27,640 Speaker 3: think a lot of people are going to pay attention 152 00:08:27,640 --> 00:08:29,320 Speaker 3: to that call. Steve, thanks so much for joining us. 153 00:08:29,440 --> 00:08:32,360 Speaker 3: Steve Man Global Global Autos and Industrials research Channels for 154 00:08:32,360 --> 00:08:36,800 Speaker 3: Bloomberg Intelligence, joining USROM Princeton, New Jersey via zoom. 155 00:08:36,559 --> 00:08:38,440 Speaker 2: And here it's you know, it's Dan Iives of. 156 00:08:38,440 --> 00:08:42,040 Speaker 3: Webbush said, this is a critical, critical, maybe the most 157 00:08:42,040 --> 00:08:45,760 Speaker 3: important conference call for Elon Musk here because there. 158 00:08:45,720 --> 00:08:47,920 Speaker 2: Is a whole host of headwinds for this company. 159 00:08:47,960 --> 00:08:49,280 Speaker 5: It's about reinstilling confidence. 160 00:08:49,320 --> 00:08:52,120 Speaker 2: Yeah, it's confidence in genius. I never said the genius 161 00:08:52,120 --> 00:08:54,880 Speaker 2: had left right. No, exactly right. So we'll see that 162 00:08:54,920 --> 00:08:55,559 Speaker 2: Tesla again. 163 00:08:55,880 --> 00:09:00,640 Speaker 3: Fifty two week low here today off about forty five percent, 164 00:09:00,880 --> 00:09:04,400 Speaker 3: just a year to date, significant loss of value. 165 00:09:04,440 --> 00:09:09,720 Speaker 1: There. You're listening to the Bloomberg Intelligence Podcast. Catch us 166 00:09:09,760 --> 00:09:13,160 Speaker 1: live weekdays at ten am Eastern on applecar Play and 167 00:09:13,160 --> 00:09:16,080 Speaker 1: Android Otto with the Bloomberg Business Act. You can also 168 00:09:16,160 --> 00:09:19,319 Speaker 1: listen live on Amazon Alexa from our flagship New York 169 00:09:19,400 --> 00:09:24,560 Speaker 1: station Just Say Alexa playing Bloomberg eleven thirty. 170 00:09:24,360 --> 00:09:28,360 Speaker 3: The Right Smack in the Middle Earning season Menace Verizon Communications. 171 00:09:28,679 --> 00:09:30,439 Speaker 3: I'm a customer of Horizon Wireless. 172 00:09:30,720 --> 00:09:32,080 Speaker 2: You know I think I am as well. Yes, I 173 00:09:32,080 --> 00:09:33,040 Speaker 2: am the riison. 174 00:09:33,280 --> 00:09:36,480 Speaker 3: I've gotten, I've cut my kids off just about everywhere. Financially, 175 00:09:36,520 --> 00:09:39,600 Speaker 3: they're pretty much on their own. With one glaring exception 176 00:09:40,800 --> 00:09:43,320 Speaker 3: the Celluar telephone bill. They're all still on this whole 177 00:09:43,320 --> 00:09:46,560 Speaker 3: family plan. I'm carrying all of them, so I haven't 178 00:09:46,559 --> 00:09:47,680 Speaker 3: figured out how to get rid of them. 179 00:09:47,760 --> 00:09:49,199 Speaker 2: Maybe that helped with the Verizon's earnings. 180 00:09:49,240 --> 00:09:49,360 Speaker 5: Here. 181 00:09:49,400 --> 00:09:51,760 Speaker 3: John Butler joins us. He covers all things telecom for 182 00:09:51,840 --> 00:09:55,120 Speaker 3: Bloomberg Intelligence. He's here in the Bloomberg Interactive Broker studio. 183 00:09:55,600 --> 00:09:57,840 Speaker 3: He doesn't mail it in like some of his managers do. 184 00:09:57,920 --> 00:09:59,960 Speaker 3: He comes into the New York office, which we appreciate. 185 00:10:00,720 --> 00:10:03,080 Speaker 2: John. What'd you see from Verizon this quarter? 186 00:10:03,440 --> 00:10:08,559 Speaker 6: So, Paul, I thought, overall, a very solid quarter from Verizon. 187 00:10:08,720 --> 00:10:12,200 Speaker 6: I mean, one thing that I always look at is pricing, 188 00:10:12,440 --> 00:10:15,360 Speaker 6: right because when they raise prices, which they did on 189 00:10:15,440 --> 00:10:18,760 Speaker 6: me and you, by the way, it extends across the 190 00:10:18,800 --> 00:10:22,640 Speaker 6: whole base, their base of one hundred million plus subscribers. 191 00:10:23,280 --> 00:10:28,280 Speaker 6: So pricing was up strongly in the quarter, and I thought, overall, 192 00:10:28,320 --> 00:10:32,040 Speaker 6: a solid quarter. I mean, it's interesting because the telecoms 193 00:10:32,080 --> 00:10:34,840 Speaker 6: throw all these metrics at you, and you can always 194 00:10:34,840 --> 00:10:37,559 Speaker 6: point to one or two and say they were weak. 195 00:10:37,600 --> 00:10:40,520 Speaker 6: Here they were strong there, you know, and it all 196 00:10:40,559 --> 00:10:42,800 Speaker 6: comes out in the wash. In my opinion, I sort 197 00:10:42,840 --> 00:10:46,520 Speaker 6: of look, I take that ten thousand foot view and 198 00:10:46,600 --> 00:10:50,640 Speaker 6: I say, how is pricing and how were subscriber net ads? 199 00:10:50,679 --> 00:10:54,680 Speaker 6: How many netnews subscribers did they add? And there's still 200 00:10:54,720 --> 00:10:57,760 Speaker 6: a shared donor. They're still losing a bit of subscribers 201 00:10:57,840 --> 00:10:58,440 Speaker 6: on the margin. 202 00:10:58,480 --> 00:11:00,720 Speaker 2: At every quarter they're getting better and better. 203 00:11:00,880 --> 00:11:04,520 Speaker 6: So on balance, I thought a decent quarter in terms 204 00:11:04,600 --> 00:11:05,880 Speaker 6: of the trends, and. 205 00:11:06,880 --> 00:11:08,800 Speaker 2: You know, I like where they're headed for the year. 206 00:11:09,000 --> 00:11:10,719 Speaker 5: I remember when we used to try to get used 207 00:11:10,720 --> 00:11:13,480 Speaker 5: to acronyms when we were covering Vodafone and different things 208 00:11:13,480 --> 00:11:15,680 Speaker 5: in Europe. You know, you've got your average revenue per user, 209 00:11:15,720 --> 00:11:17,719 Speaker 5: but you look at the you just switch on your 210 00:11:17,720 --> 00:11:21,440 Speaker 5: television at home, and you got Apple, You've got Netflix, 211 00:11:21,559 --> 00:11:25,560 Speaker 5: you've got Prime, and you've got you just consuming so 212 00:11:25,800 --> 00:11:29,320 Speaker 5: much more at so much more faster speed. So where 213 00:11:29,320 --> 00:11:32,480 Speaker 5: are they in terms of pricing differential for that additional 214 00:11:32,520 --> 00:11:34,800 Speaker 5: bandwidth that I'm I'm going to use more of. It's 215 00:11:34,840 --> 00:11:38,120 Speaker 5: just a natural evolution of gorging on data. 216 00:11:38,800 --> 00:11:42,040 Speaker 6: Well, I'm glad you asked that, manus, because what Verizon 217 00:11:42,280 --> 00:11:44,800 Speaker 6: is doing so well is They've come out with a 218 00:11:44,880 --> 00:11:49,280 Speaker 6: new family of unlimited plans called My Plan, and it 219 00:11:49,320 --> 00:11:52,640 Speaker 6: allows people to not only buy wireless service, but also 220 00:11:52,800 --> 00:11:55,320 Speaker 6: so the streaming services at. 221 00:11:55,200 --> 00:11:56,160 Speaker 2: A pretty good deal. 222 00:11:56,600 --> 00:11:59,760 Speaker 6: Finally, there's a bundle, right, there is a bundle praise, 223 00:12:00,240 --> 00:12:02,959 Speaker 6: and you get to control the bundles, so they don't 224 00:12:03,040 --> 00:12:06,240 Speaker 6: set preset bundles and say you can get planned a 225 00:12:06,440 --> 00:12:09,280 Speaker 6: B or C. You can sort of mix and match 226 00:12:09,360 --> 00:12:12,080 Speaker 6: and say I want wireless service and I want Disney 227 00:12:12,120 --> 00:12:15,520 Speaker 6: but not Hulu, so you can sort of customize the 228 00:12:15,559 --> 00:12:20,359 Speaker 6: plan yourself. Ergo the name my Plan, and it's resonating 229 00:12:20,480 --> 00:12:24,160 Speaker 6: really well, Like I'm really surprised after about a year 230 00:12:24,240 --> 00:12:26,640 Speaker 6: they've got a quarter of the base on My Plan. 231 00:12:27,320 --> 00:12:30,920 Speaker 6: It's very good for them because they're highly profitable plans, 232 00:12:31,000 --> 00:12:33,080 Speaker 6: and by year end they hope to have half the 233 00:12:33,160 --> 00:12:36,720 Speaker 6: base on that My Plan structure, which is big. 234 00:12:37,040 --> 00:12:38,920 Speaker 3: You know, I'm looking at the stock here about two 235 00:12:38,960 --> 00:12:41,280 Speaker 3: and a half percent today, but up about five percent 236 00:12:41,320 --> 00:12:41,840 Speaker 3: year to date. 237 00:12:42,320 --> 00:12:45,240 Speaker 2: This seems got a six and a half percent dividend yield. 238 00:12:45,320 --> 00:12:46,600 Speaker 2: That's what I'm talking about. 239 00:12:47,120 --> 00:12:48,520 Speaker 3: So I don't know why you can't talk to your 240 00:12:48,520 --> 00:12:51,360 Speaker 3: good I saw Tim Cook that Duke recently and I said, 241 00:12:51,360 --> 00:12:52,880 Speaker 3: can you raise your dividend. 242 00:12:52,559 --> 00:12:54,640 Speaker 2: A little bit? And he gave me the heisman. But 243 00:12:56,280 --> 00:12:59,280 Speaker 2: six percent dividend, seven percent divin in yield? Yeah, is 244 00:12:59,280 --> 00:13:00,559 Speaker 2: that sustainable for these guys? 245 00:13:01,280 --> 00:13:04,280 Speaker 6: You know, I think most telecoms know the danger of 246 00:13:04,360 --> 00:13:06,920 Speaker 6: cutting a dividends. So let's put it that way. But 247 00:13:07,040 --> 00:13:10,000 Speaker 6: if you look at Verizon stock you touched on it, 248 00:13:10,000 --> 00:13:11,800 Speaker 6: it's had a bit of a run here, and so 249 00:13:11,960 --> 00:13:16,760 Speaker 6: is that stock price goes up? Obviously the yield goes down. 250 00:13:18,000 --> 00:13:21,959 Speaker 6: But you know they're very focused on shareholder returns as 251 00:13:22,040 --> 00:13:24,880 Speaker 6: they mature here AT and T is the same way, 252 00:13:24,960 --> 00:13:28,960 Speaker 6: so is T Mobile, and so in terms of the divinend, 253 00:13:29,040 --> 00:13:30,839 Speaker 6: I think it's very safer right now. 254 00:13:30,960 --> 00:13:33,079 Speaker 5: You see, you use the web maturity and that brings 255 00:13:33,400 --> 00:13:35,400 Speaker 5: that brings a lot of connotations, and one of them 256 00:13:35,480 --> 00:13:37,920 Speaker 5: is M and A. You remember the most fabled disaster 257 00:13:38,480 --> 00:13:41,480 Speaker 5: telecoms murder of all time at and what was it? 258 00:13:41,600 --> 00:13:44,800 Speaker 5: Aol Time Warner. But when you use the word maturity. 259 00:13:44,440 --> 00:13:49,000 Speaker 2: Got paid on that, thank you? Yeah, we got paid Yeah, good. 260 00:13:48,800 --> 00:13:52,480 Speaker 5: For you represent everything, We represent what you know what. 261 00:13:52,640 --> 00:13:56,120 Speaker 5: But there's the question is is the next iteration in 262 00:13:56,160 --> 00:13:57,760 Speaker 5: this market some form of M. 263 00:13:57,720 --> 00:13:58,800 Speaker 2: And A or is it innovation? 264 00:13:59,440 --> 00:14:02,480 Speaker 6: So they got asked that in the call, and I 265 00:14:02,520 --> 00:14:04,920 Speaker 6: thought the answer was very good, which is, we have 266 00:14:05,000 --> 00:14:08,080 Speaker 6: the assets in place right now to execute on the 267 00:14:08,120 --> 00:14:11,199 Speaker 6: growth plan that we see for the next few years. 268 00:14:12,360 --> 00:14:15,080 Speaker 6: And I think that's right. But they also have the 269 00:14:15,160 --> 00:14:18,760 Speaker 6: ability if they want to make either tuck in acquisitions. 270 00:14:19,440 --> 00:14:22,800 Speaker 2: He wants disitions. 271 00:14:22,920 --> 00:14:26,800 Speaker 6: I think I think they know that investors want that dividend. 272 00:14:26,920 --> 00:14:30,760 Speaker 6: So in terms of any grand ambition, ambitious M and 273 00:14:30,840 --> 00:14:33,480 Speaker 6: A like we saw with AT and T in Time Warner, 274 00:14:34,120 --> 00:14:35,800 Speaker 6: I'm not saying it with Verizon. 275 00:14:36,400 --> 00:14:38,960 Speaker 2: What's the competitive landscape these days? Is it just price, price, 276 00:14:39,040 --> 00:14:39,640 Speaker 2: price price. 277 00:14:41,360 --> 00:14:43,600 Speaker 6: It is very tough at the low end, it's all 278 00:14:43,640 --> 00:14:47,520 Speaker 6: about price. At the higher end, which is where Verizon plays, it's. 279 00:14:47,280 --> 00:14:48,400 Speaker 2: All about value. 280 00:14:48,960 --> 00:14:52,160 Speaker 6: What kind of value are you offering with that package? 281 00:14:52,720 --> 00:14:56,760 Speaker 6: And I think we were talking about verizons my plan, 282 00:14:56,840 --> 00:15:00,280 Speaker 6: the mix and match that has high value, and I 283 00:15:00,480 --> 00:15:04,640 Speaker 6: think I think it's resonating well with the subscriber base. 284 00:15:05,200 --> 00:15:07,640 Speaker 3: All right, very good, John Butler. He has our go 285 00:15:07,720 --> 00:15:10,840 Speaker 3: to guy and all things telecom. Verizon putting out some 286 00:15:11,160 --> 00:15:13,960 Speaker 3: numbers here, decent number stock off a couple of percent. Today, 287 00:15:14,040 --> 00:15:16,640 Speaker 3: John Butler covers telecom for Bloomberg Intelligence. 288 00:15:16,960 --> 00:15:18,880 Speaker 2: We appreciate getting some of his time. 289 00:15:21,120 --> 00:15:25,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 290 00:15:25,080 --> 00:15:28,160 Speaker 1: weekdays at ten am Eastern on Affle Card, playing Android 291 00:15:28,200 --> 00:15:31,280 Speaker 1: outo with the Bloomberg Business app. Listen on demand wherever 292 00:15:31,360 --> 00:15:35,200 Speaker 1: you get your podcasts, or watch us live on YouTube. 293 00:15:36,080 --> 00:15:38,160 Speaker 3: So my tech m and A bankers are not happy 294 00:15:38,200 --> 00:15:43,640 Speaker 3: because it apparently Salesforce takeover talks with Informatica are cooling off, 295 00:15:43,880 --> 00:15:45,640 Speaker 3: and that might have been a nice mm A trade 296 00:15:45,680 --> 00:15:47,480 Speaker 3: in the tech space. Let's break it down a little 297 00:15:47,480 --> 00:15:49,960 Speaker 3: bit here on a rag ran a senior technology analyst. 298 00:15:50,000 --> 00:15:52,640 Speaker 2: You know him. He's out in Chicago. This guy I. 299 00:15:52,680 --> 00:15:56,200 Speaker 3: Don't know Sunil rog Gopaul, senior software analyst. But the 300 00:15:56,200 --> 00:15:58,880 Speaker 3: goodness is he's in our Bloomberg Interactive Broker studio. He 301 00:15:58,880 --> 00:16:01,720 Speaker 3: doesn't mail it in from Chicago like an rock Ron. 302 00:16:01,720 --> 00:16:04,280 Speaker 3: It does, Honor Rock. I didn't hire this guy, Roger 303 00:16:04,360 --> 00:16:05,280 Speaker 3: Capal did. I. 304 00:16:05,280 --> 00:16:06,240 Speaker 2: I don't know him. 305 00:16:07,200 --> 00:16:10,440 Speaker 7: No, Samiel's awesome and he does all things infrastructure. You'll 306 00:16:10,480 --> 00:16:11,080 Speaker 7: really like him. 307 00:16:11,120 --> 00:16:13,720 Speaker 2: Good stuff. At least he's here in the office. We 308 00:16:13,760 --> 00:16:15,680 Speaker 2: make note of that. All right. So, Anrak, I was 309 00:16:15,760 --> 00:16:17,080 Speaker 2: kind of surprised to see. 310 00:16:16,880 --> 00:16:19,200 Speaker 3: This news to begin with, Like, I didn't think Salesforce 311 00:16:20,360 --> 00:16:21,600 Speaker 3: needed to really buy. 312 00:16:21,360 --> 00:16:23,480 Speaker 2: Anything, So what's going on here do you think? 313 00:16:24,240 --> 00:16:26,400 Speaker 7: Yeah, it was just a big head scratcher for us 314 00:16:26,440 --> 00:16:30,280 Speaker 7: to almost a few days ago because last March, Bennehoff 315 00:16:30,320 --> 00:16:32,880 Speaker 7: comes and says, I've disbandled the MNE committee, no more 316 00:16:33,120 --> 00:16:35,040 Speaker 7: m and A. I'm going to focus on margins and 317 00:16:35,160 --> 00:16:38,800 Speaker 7: organic growth. And in less than a year, you know, 318 00:16:38,880 --> 00:16:40,640 Speaker 7: just around that one year mark, he's like, oh, we've 319 00:16:40,640 --> 00:16:42,320 Speaker 7: got to go back and you know, buy something now. 320 00:16:42,400 --> 00:16:44,400 Speaker 7: He didn't say that, the company didn't say that, but 321 00:16:44,480 --> 00:16:46,560 Speaker 7: that was the rumor on the street that they're looking 322 00:16:46,560 --> 00:16:48,800 Speaker 7: to buy Informatica. For us, that was a bit of 323 00:16:48,840 --> 00:16:52,280 Speaker 7: a surprise because Informatica grows six to seven percent compared 324 00:16:52,280 --> 00:16:54,520 Speaker 7: to Salesforce, which is growing north of ten percent. So 325 00:16:54,800 --> 00:16:56,440 Speaker 7: why would anybody buy something that. 326 00:16:56,480 --> 00:16:57,600 Speaker 2: Is slow growth? 327 00:16:57,960 --> 00:17:00,200 Speaker 7: I get the data angle of it, but you know, 328 00:17:00,640 --> 00:17:02,840 Speaker 7: it was it was not something that we really liked. 329 00:17:03,160 --> 00:17:05,439 Speaker 3: Sunil, first of all, thanks so much for joining us 330 00:17:05,480 --> 00:17:09,080 Speaker 3: here in studio. Sunil Rochkopal, senior software analyst for Bloomberg Intelligence, 331 00:17:09,960 --> 00:17:12,359 Speaker 3: tell us about Informatica, I don't know a lot about it. 332 00:17:12,400 --> 00:17:14,120 Speaker 3: I don't think a lot of investors know a lot 333 00:17:14,160 --> 00:17:16,600 Speaker 3: about it. And that was one of the reasons that 334 00:17:16,640 --> 00:17:20,120 Speaker 3: they're saying, what is Salesforce buying here or maybe thinking 335 00:17:20,119 --> 00:17:21,840 Speaker 3: about buying? What tell us about this company? 336 00:17:22,119 --> 00:17:27,280 Speaker 8: Sure, Informatica is all about data management, which is about 337 00:17:27,520 --> 00:17:31,360 Speaker 8: clean cleaning all the data that comes from different sources 338 00:17:31,440 --> 00:17:35,600 Speaker 8: and aligning it with the applications and getting all things 339 00:17:35,680 --> 00:17:38,880 Speaker 8: sorted out. For data, so data comes in various shapes, 340 00:17:39,000 --> 00:17:41,560 Speaker 8: forms and different sources, so all of that needs to 341 00:17:41,600 --> 00:17:44,800 Speaker 8: be cleaned up to be used in a proper shape. 342 00:17:44,840 --> 00:17:49,320 Speaker 8: So I think Informatica is that layer that acts as 343 00:17:49,359 --> 00:17:53,720 Speaker 8: a cleanser of data and gets you to that right usage. 344 00:17:54,080 --> 00:17:56,479 Speaker 8: So that's where it comes in as a player. 345 00:17:56,920 --> 00:18:02,000 Speaker 3: So with if they're not going to tie up with Salesforce, 346 00:18:02,720 --> 00:18:04,760 Speaker 3: what's the call on this company, what's the call on 347 00:18:04,800 --> 00:18:05,200 Speaker 3: the stock? 348 00:18:05,920 --> 00:18:08,199 Speaker 2: Either you know, bullsh or bears. 349 00:18:08,640 --> 00:18:12,439 Speaker 8: Look strategically for Informatica, such an alliance would have been 350 00:18:12,480 --> 00:18:16,120 Speaker 8: a great move that would have helped fuel its cloud journey, 351 00:18:16,280 --> 00:18:19,920 Speaker 8: and that now accounts for roughly one third of its revenues. 352 00:18:20,840 --> 00:18:24,880 Speaker 8: With the deal not happening. Informatica now has to focus 353 00:18:24,920 --> 00:18:29,840 Speaker 8: on fueling its cloud growth organically. The company is boosting 354 00:18:29,880 --> 00:18:34,480 Speaker 8: its partnership and rolling out new AI powered features, but 355 00:18:34,600 --> 00:18:40,800 Speaker 8: this space is highly fragmented and competitive. The company has 356 00:18:40,920 --> 00:18:45,199 Speaker 8: continued to lose market share, especially with the challengers that 357 00:18:45,280 --> 00:18:49,719 Speaker 8: have risen substantially over the last few years. There are 358 00:18:49,760 --> 00:18:53,320 Speaker 8: other big players like SAP and IBM that also compete, 359 00:18:53,320 --> 00:18:56,360 Speaker 8: So I think going forward the market will definitely look 360 00:18:56,480 --> 00:18:59,960 Speaker 8: a lot more challenging because now Salesforce are not having 361 00:19:00,119 --> 00:19:02,960 Speaker 8: to go through with this tale will put more resources 362 00:19:03,000 --> 00:19:08,040 Speaker 8: into MuleSoft, which I think will raise the competitive intensity 363 00:19:08,119 --> 00:19:10,679 Speaker 8: and I think that is a big challenge for Informatical 364 00:19:10,760 --> 00:19:11,280 Speaker 8: going forward. 365 00:19:12,440 --> 00:19:16,040 Speaker 3: An rag on your side from the Salesforce side, I mean, 366 00:19:16,359 --> 00:19:17,520 Speaker 3: is it just steady as she goes? 367 00:19:17,640 --> 00:19:19,200 Speaker 2: I mean, it's just such a great company. 368 00:19:19,640 --> 00:19:22,439 Speaker 3: What's the call for the next twelve to eighteen months 369 00:19:22,480 --> 00:19:24,960 Speaker 3: for Salesforce dot com? 370 00:19:25,359 --> 00:19:27,720 Speaker 7: So, Paul, what we're thinking. You know, hopefully by the 371 00:19:27,800 --> 00:19:29,680 Speaker 7: end of this year we get a little more clarity 372 00:19:29,720 --> 00:19:33,040 Speaker 7: on technology spending and perhaps from next year onwards we 373 00:19:33,080 --> 00:19:35,840 Speaker 7: can see that, you know, load double digit growth in 374 00:19:35,920 --> 00:19:39,480 Speaker 7: earnings as well as I take that back load. Double 375 00:19:39,480 --> 00:19:43,520 Speaker 7: digit growth in sales coupled with some margin expansion getting 376 00:19:43,520 --> 00:19:46,600 Speaker 7: you to that mid to high teens earnings growth. That's 377 00:19:46,600 --> 00:19:51,040 Speaker 7: what we want from salesforce, organic growth, organic earnings, not 378 00:19:51,160 --> 00:19:53,560 Speaker 7: so much driven by M and A. And I'm hoping 379 00:19:53,600 --> 00:19:55,600 Speaker 7: that that's what the company delivers. 380 00:19:56,640 --> 00:19:59,560 Speaker 3: On the software side, what are the most exciting areas 381 00:19:59,760 --> 00:20:00,080 Speaker 3: for you? 382 00:20:00,080 --> 00:20:01,720 Speaker 2: You that you're looking at here. 383 00:20:02,080 --> 00:20:07,439 Speaker 8: Look for me in the overall enterprise software space, I 384 00:20:07,640 --> 00:20:15,480 Speaker 8: still like names in the observability sector. The Yeah, all right, 385 00:20:15,720 --> 00:20:19,840 Speaker 8: So the observability is they act as a layer that 386 00:20:20,000 --> 00:20:25,000 Speaker 8: monitors all of your systems applications, so be it any 387 00:20:25,119 --> 00:20:28,520 Speaker 8: kind of an application that you're running your enterprise, everything 388 00:20:28,600 --> 00:20:31,560 Speaker 8: needs to be monitored if there are like any bugs, 389 00:20:31,600 --> 00:20:35,200 Speaker 8: if there are like system downtimes, et cetera. So observability 390 00:20:35,440 --> 00:20:40,639 Speaker 8: vendors typically monitor all your applications and the infrastructure. So 391 00:20:40,720 --> 00:20:43,719 Speaker 8: they play a very critical role in the overall enterprise 392 00:20:43,800 --> 00:20:47,000 Speaker 8: software space. And I think players such as the data 393 00:20:47,040 --> 00:20:49,639 Speaker 8: Dog diner trays are very well positioned in. 394 00:20:49,640 --> 00:20:51,640 Speaker 2: Public recently, like recently as a couple of years. 395 00:20:51,720 --> 00:20:52,680 Speaker 8: Yeah, yes, that's right. 396 00:20:53,080 --> 00:20:55,000 Speaker 2: So so what is I mean? I love the name. 397 00:20:55,760 --> 00:20:57,520 Speaker 3: I'm looking at the stock here and bringing up the 398 00:20:57,520 --> 00:20:58,760 Speaker 3: stock Data Dog. 399 00:20:59,520 --> 00:21:04,120 Speaker 2: The DG this is kind of forty billion dollar market cap. 400 00:21:04,119 --> 00:21:06,439 Speaker 3: It's kind of flat stock price on the year, but 401 00:21:06,520 --> 00:21:08,720 Speaker 3: up to seventy five percent over the trailing twelve months. 402 00:21:09,119 --> 00:21:10,480 Speaker 2: What's the call on Data Dog here? 403 00:21:11,400 --> 00:21:15,400 Speaker 8: Look, it's a very I would say it has been 404 00:21:15,440 --> 00:21:18,399 Speaker 8: a fast growing company. And of course last year we 405 00:21:19,320 --> 00:21:22,520 Speaker 8: have seen a slow down in the overall enterprise software space, 406 00:21:22,560 --> 00:21:25,000 Speaker 8: and the Data Dog of course has been impacted with 407 00:21:25,080 --> 00:21:28,840 Speaker 8: that slow it spending trends. But overall, if you look 408 00:21:28,880 --> 00:21:33,119 Speaker 8: at the observability space as we see, I think that 409 00:21:33,280 --> 00:21:36,159 Speaker 8: is a space that will continue to grow because the 410 00:21:36,240 --> 00:21:40,680 Speaker 8: number of applications and the infrastructure that enterprises are deploying, 411 00:21:40,800 --> 00:21:43,760 Speaker 8: especially with what is supposed to come with Jenny AI 412 00:21:43,840 --> 00:21:46,760 Speaker 8: and others, we will continue to see a massive rise 413 00:21:46,760 --> 00:21:49,720 Speaker 8: in the infrastructure and applications and that should all bode 414 00:21:49,720 --> 00:21:52,800 Speaker 8: well for Data Dog and the players such as a Diner, 415 00:21:52,840 --> 00:21:54,600 Speaker 8: Trace and others in the observatory space. 416 00:21:55,240 --> 00:21:59,000 Speaker 3: An rob We've getting earnings coming up for the tech names. 417 00:21:59,000 --> 00:22:00,720 Speaker 2: What are you looking for here? 418 00:22:01,280 --> 00:22:03,160 Speaker 3: Should we be just kind of saying count how many 419 00:22:03,160 --> 00:22:05,560 Speaker 3: times they mentioned AI and the conference call? 420 00:22:06,440 --> 00:22:07,959 Speaker 7: Yeah, a little bit of that I think it's going 421 00:22:08,040 --> 00:22:10,320 Speaker 7: to be a steady growth rate. But I'm getting a 422 00:22:10,320 --> 00:22:12,720 Speaker 7: little concerned about the guidance because I think the macro 423 00:22:12,840 --> 00:22:16,000 Speaker 7: environment is getting a little bit diceee, not sure what's 424 00:22:16,000 --> 00:22:17,760 Speaker 7: going to happen in the Middle East. So I'll be 425 00:22:17,880 --> 00:22:20,720 Speaker 7: very surprised if any company comes up with a bullish guidance, 426 00:22:21,040 --> 00:22:23,199 Speaker 7: but I think, you know, one should be prepared for 427 00:22:23,280 --> 00:22:25,240 Speaker 7: it because we have seen some of these names go 428 00:22:25,359 --> 00:22:28,040 Speaker 7: up pretty strong over the last twelve months, so they 429 00:22:28,040 --> 00:22:30,440 Speaker 7: could be a period of consolidation for the next quarter 430 00:22:30,560 --> 00:22:30,840 Speaker 7: or two. 431 00:22:31,560 --> 00:22:31,760 Speaker 8: You know. 432 00:22:31,800 --> 00:22:34,960 Speaker 7: Our big call is that we do see tech spending recovery, 433 00:22:35,359 --> 00:22:37,840 Speaker 7: perhaps now in the later half of the year into 434 00:22:37,920 --> 00:22:40,199 Speaker 7: next year, but we don't want any one of that 435 00:22:40,359 --> 00:22:44,879 Speaker 7: to be delayed, So not baking any massive positive surprises 436 00:22:44,920 --> 00:22:47,240 Speaker 7: over the next quarter or two, but hoping for a 437 00:22:47,280 --> 00:22:48,440 Speaker 7: rebound by the end of the year. 438 00:22:48,680 --> 00:22:51,320 Speaker 3: So but a rebound, you're I mean, there's no declines here. 439 00:22:51,400 --> 00:22:53,719 Speaker 3: Let's be clear, it's just a question what is the 440 00:22:53,760 --> 00:22:56,200 Speaker 3: growth rate in tech spending? So just give us an 441 00:22:56,200 --> 00:22:58,720 Speaker 3: eyeball kind of where we are now, where it has been, 442 00:22:58,920 --> 00:22:59,879 Speaker 3: and where do you think it could go. 443 00:23:00,920 --> 00:23:03,159 Speaker 7: So let's talk about, for example, I'll throw out a 444 00:23:03,240 --> 00:23:05,919 Speaker 7: number a w as constant currency growth rate. That's a 445 00:23:05,920 --> 00:23:09,000 Speaker 7: big leading indicator of what's happening. Last quarter it was 446 00:23:09,040 --> 00:23:11,960 Speaker 7: thirteen percent in constant currency, the quarter before that twelve, 447 00:23:12,160 --> 00:23:14,360 Speaker 7: and the quarter before that twelve. We think this time 448 00:23:14,400 --> 00:23:16,920 Speaker 7: it comes to around fourteen to fifteen. But next quarter 449 00:23:16,960 --> 00:23:19,399 Speaker 7: again it comes to in that same range of about 450 00:23:19,400 --> 00:23:22,400 Speaker 7: fourteen to fifteen because now we are looking at stabilization 451 00:23:22,480 --> 00:23:24,600 Speaker 7: of the growth rates, but we do we expect that 452 00:23:24,760 --> 00:23:26,399 Speaker 7: to pick up by the end of the year. You 453 00:23:26,440 --> 00:23:29,440 Speaker 7: can correlate that for any company, whether it's Salesforce, whether 454 00:23:29,480 --> 00:23:33,159 Speaker 7: it's Microsoft, as your growth rate a similar chart in 455 00:23:33,240 --> 00:23:36,879 Speaker 7: the rate of growth of the growth rates rather than 456 00:23:36,880 --> 00:23:39,560 Speaker 7: anything else. And that's why I'm saying the next quarter 457 00:23:39,640 --> 00:23:42,480 Speaker 7: or two is where we see stabilization in that rather 458 00:23:42,560 --> 00:23:43,399 Speaker 7: than a big leg up. 459 00:23:44,119 --> 00:23:47,680 Speaker 3: So Neil, in your software space where you play, are 460 00:23:47,680 --> 00:23:49,400 Speaker 3: you trying to are your companies trying to go them 461 00:23:49,440 --> 00:23:50,479 Speaker 3: onto the AI trend? 462 00:23:50,640 --> 00:23:52,880 Speaker 2: And if so, how are they doing it? 463 00:23:53,560 --> 00:23:56,920 Speaker 8: Look, I think most of the companies that I cover 464 00:23:57,240 --> 00:24:00,840 Speaker 8: are in the initial phase of the AI wave, and 465 00:24:01,160 --> 00:24:04,959 Speaker 8: most of them are piloting new products, bringing up features 466 00:24:05,280 --> 00:24:10,520 Speaker 8: like copilot and others But one interesting fact that data 467 00:24:10,560 --> 00:24:14,280 Speaker 8: Doc pointed out very recently is three percent or so 468 00:24:14,400 --> 00:24:18,000 Speaker 8: of their arr is being driven by these gen AI 469 00:24:18,160 --> 00:24:21,560 Speaker 8: focused companies, which is interesting that you're still in very 470 00:24:21,560 --> 00:24:24,480 Speaker 8: early stages, and I think that will be a momentum 471 00:24:24,560 --> 00:24:25,680 Speaker 8: that will continue to grow. 472 00:24:26,119 --> 00:24:27,320 Speaker 2: Are we going to get Sneil? 473 00:24:27,359 --> 00:24:30,080 Speaker 3: Do you think like I came up when the Internet 474 00:24:30,200 --> 00:24:32,320 Speaker 3: was first started, you had companies from public that were 475 00:24:32,359 --> 00:24:34,760 Speaker 3: Internet names, whether it was America Online, whether it was 476 00:24:35,280 --> 00:24:35,800 Speaker 3: Google for. 477 00:24:35,800 --> 00:24:37,240 Speaker 2: Search, Facebook for social. 478 00:24:37,320 --> 00:24:40,840 Speaker 3: You had companies that defined or help define and then 479 00:24:40,880 --> 00:24:42,359 Speaker 3: so simple people like me could say, oh, if I 480 00:24:42,359 --> 00:24:45,040 Speaker 3: want explosures to the Internet by go by Google or 481 00:24:45,040 --> 00:24:48,120 Speaker 3: by Facebook, if I want social. Are we gonna have 482 00:24:48,240 --> 00:24:50,520 Speaker 3: AI specific companies coming public? 483 00:24:50,560 --> 00:24:51,000 Speaker 2: Do you think? 484 00:24:52,200 --> 00:24:55,520 Speaker 8: I think that's a move that everyone is watching. Of course, 485 00:24:55,560 --> 00:24:59,720 Speaker 8: we have companies like open ai and others that are 486 00:25:00,560 --> 00:25:05,240 Speaker 8: potentially growing in size and have a massive amount of 487 00:25:05,960 --> 00:25:09,320 Speaker 8: I mean say users, etc. So that's a market that 488 00:25:09,359 --> 00:25:11,639 Speaker 8: will continue to be on watch out. And there are 489 00:25:11,680 --> 00:25:15,600 Speaker 8: a number of other smaller companies that are coming up 490 00:25:15,920 --> 00:25:18,280 Speaker 8: in the AI space. I think over the course of 491 00:25:18,359 --> 00:25:20,320 Speaker 8: next twelve months we will see a lot of them 492 00:25:20,320 --> 00:25:20,879 Speaker 8: in the market. 493 00:25:21,280 --> 00:25:22,400 Speaker 2: All right, good stuff studio. 494 00:25:22,640 --> 00:25:25,959 Speaker 3: Roj Capal, senior software Anas Bloomberg Intelligence, joining us here 495 00:25:25,960 --> 00:25:28,080 Speaker 3: in a studio, and of course Ana rod ron, a 496 00:25:28,160 --> 00:25:31,640 Speaker 3: senior technaist for Bloomberg Intelligence at Chicago, breaking down what's 497 00:25:31,680 --> 00:25:35,159 Speaker 3: happening in the world of technologies. Apparently Salesforce, the rumor 498 00:25:35,200 --> 00:25:39,720 Speaker 3: discussions between Salesforce and software company Informatica cooling off here, 499 00:25:39,720 --> 00:25:43,320 Speaker 3: so we're seeing the Informatica stock down a little bit today. 500 00:25:43,320 --> 00:25:45,399 Speaker 3: We thank both of those guys for bringing us up 501 00:25:45,400 --> 00:25:46,000 Speaker 3: to speed here. 502 00:25:47,520 --> 00:25:51,400 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 503 00:25:51,480 --> 00:25:55,000 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 504 00:25:55,040 --> 00:25:57,800 Speaker 1: Outo with the Bloomberg Business app. You can also listen 505 00:25:57,920 --> 00:26:01,040 Speaker 1: live on Amazon Alexa from our Flag New York station 506 00:26:01,400 --> 00:26:03,760 Speaker 1: just Say Alexa playing Bloomberg eleven. 507 00:26:05,880 --> 00:26:09,679 Speaker 3: Coming into today's trading, SMP five hundred goes down roughly 508 00:26:09,760 --> 00:26:11,800 Speaker 3: five percent off of its recent high, and a lot 509 00:26:11,840 --> 00:26:13,080 Speaker 3: of folks were just saying, hey, is this. 510 00:26:13,119 --> 00:26:14,040 Speaker 2: A bump in the road. 511 00:26:14,600 --> 00:26:17,280 Speaker 3: Is this the beginning of a sustained drawdown which may 512 00:26:17,320 --> 00:26:19,959 Speaker 3: or may not be healthy for this market longer term. 513 00:26:20,359 --> 00:26:21,960 Speaker 3: That's some of the questions we've been hearing from a 514 00:26:21,960 --> 00:26:24,320 Speaker 3: lot of the smart folks who cover these markets. Sylvia 515 00:26:24,359 --> 00:26:27,119 Speaker 3: Jablonski Joints, and he's the chief executive officer and chief 516 00:26:27,160 --> 00:26:32,160 Speaker 3: investment officer at Defiance ETFs. Sylvia, how do you view 517 00:26:32,280 --> 00:26:35,080 Speaker 3: the trading we've seen over here over the last week 518 00:26:35,080 --> 00:26:37,359 Speaker 3: and a half here, this five percent pullback in the market, 519 00:26:37,440 --> 00:26:39,200 Speaker 3: How does that kind of strike. 520 00:26:38,880 --> 00:26:40,840 Speaker 2: You in terms of the overall market behavior? 521 00:26:42,280 --> 00:26:42,919 Speaker 9: Good morning. 522 00:26:43,080 --> 00:26:45,439 Speaker 10: Well, it's you know, it's been a painful couple of weeks, 523 00:26:45,440 --> 00:26:49,400 Speaker 10: that's for sure. You know, I think that some new 524 00:26:49,400 --> 00:26:51,720 Speaker 10: headwinds came into the market, right that that kind of 525 00:26:51,760 --> 00:26:52,480 Speaker 10: weren't there before. 526 00:26:52,560 --> 00:26:53,960 Speaker 9: We came out of the gate really strong. 527 00:26:54,080 --> 00:26:56,480 Speaker 10: The inflation readings were looking you know, kind of good 528 00:26:56,560 --> 00:27:00,640 Speaker 10: and solidly pointing downward, and then you know, we got 529 00:27:00,640 --> 00:27:04,320 Speaker 10: some potter than expected factory number jobs numbers CPI and 530 00:27:04,359 --> 00:27:07,320 Speaker 10: things like this recently. And so I think that until 531 00:27:07,359 --> 00:27:09,520 Speaker 10: we get the data going back in the direction that 532 00:27:09,560 --> 00:27:11,920 Speaker 10: we want it too, which is essentially you know, coming 533 00:27:11,960 --> 00:27:15,639 Speaker 10: in below estimates and downward on inflation, and then we 534 00:27:15,640 --> 00:27:18,080 Speaker 10: start to feel the security of the Fed potentially cutting 535 00:27:18,080 --> 00:27:20,760 Speaker 10: this year again, whether it's one or two times, and 536 00:27:20,840 --> 00:27:22,359 Speaker 10: you know, kind of just knowing that the foot the 537 00:27:22,400 --> 00:27:25,120 Speaker 10: FED put is still in play, right and that we're 538 00:27:25,160 --> 00:27:26,600 Speaker 10: not going to turn around the other way. 539 00:27:27,560 --> 00:27:29,120 Speaker 9: I think that'll help the markets turn around. 540 00:27:29,160 --> 00:27:31,320 Speaker 10: And then I think the other thing that you know 541 00:27:31,440 --> 00:27:34,800 Speaker 10: is sort of trepidations for investors is geopolitics. I mean, 542 00:27:34,920 --> 00:27:38,080 Speaker 10: there's there's some you know, notable things going on in 543 00:27:38,080 --> 00:27:40,760 Speaker 10: the world right now that I think really rocked markets 544 00:27:40,760 --> 00:27:41,560 Speaker 10: over the last. 545 00:27:41,320 --> 00:27:41,840 Speaker 9: Week and a half. 546 00:27:41,920 --> 00:27:43,480 Speaker 10: And then I you know, I think that there's a 547 00:27:43,560 --> 00:27:46,280 Speaker 10: need for kind of knowing what happens next there. But 548 00:27:46,359 --> 00:27:48,600 Speaker 10: in terms of like the fundamentals and the macro picture, 549 00:27:48,880 --> 00:27:51,440 Speaker 10: you know, I'm still very constructive and bullish on the market, 550 00:27:52,359 --> 00:27:54,840 Speaker 10: provided that those things, you know, don't surprise us out 551 00:27:54,840 --> 00:27:55,480 Speaker 10: of left field. 552 00:27:56,040 --> 00:27:57,719 Speaker 3: How About on the earnings front here, we're just kind 553 00:27:57,760 --> 00:27:59,720 Speaker 3: of another real busy week here for the S and 554 00:27:59,760 --> 00:28:02,520 Speaker 3: P five hundred earnings. What do you think this market 555 00:28:02,560 --> 00:28:03,320 Speaker 3: needs to see? 556 00:28:03,400 --> 00:28:04,400 Speaker 2: I mean, how dependent? 557 00:28:04,880 --> 00:28:07,639 Speaker 3: I mean, and obviously earnings matter, but it seems like 558 00:28:07,720 --> 00:28:09,399 Speaker 3: this is a market that's been pushed around by the 559 00:28:09,440 --> 00:28:10,399 Speaker 3: FED one way. 560 00:28:10,320 --> 00:28:11,800 Speaker 2: Or the other. Here, what are you looking for in 561 00:28:11,840 --> 00:28:12,840 Speaker 2: earnings this cycle? 562 00:28:14,160 --> 00:28:16,520 Speaker 10: So, I mean, I guess the you know, the good 563 00:28:16,560 --> 00:28:18,960 Speaker 10: thing about earnings is over the past couple of weeks 564 00:28:19,040 --> 00:28:21,280 Speaker 10: or so, a lot of analysts have revised their earnings 565 00:28:21,320 --> 00:28:24,159 Speaker 10: expectations downward, and so I think that you know, beats 566 00:28:24,160 --> 00:28:27,120 Speaker 10: are going to be easier to come by in terms 567 00:28:27,160 --> 00:28:27,720 Speaker 10: of earnings. 568 00:28:27,760 --> 00:28:29,840 Speaker 9: You know, we live in this world now where the 569 00:28:29,920 --> 00:28:30,560 Speaker 9: Mac seven. 570 00:28:30,720 --> 00:28:34,520 Speaker 10: You know, maybe we've subtracted Tesla from that list or 571 00:28:34,760 --> 00:28:36,480 Speaker 10: or you know a couple of names here and there. 572 00:28:36,560 --> 00:28:39,280 Speaker 10: But the top tech companies, let's call it as well 573 00:28:39,320 --> 00:28:44,240 Speaker 10: as Navidia are are really you know, names that investors 574 00:28:44,400 --> 00:28:46,640 Speaker 10: want good news from, and so then I think if 575 00:28:46,680 --> 00:28:50,680 Speaker 10: they deliver, that tends to broaden the rally, and that 576 00:28:50,760 --> 00:28:54,000 Speaker 10: tends to lift stocks in other sectors. You know, bank 577 00:28:54,040 --> 00:28:56,400 Speaker 10: earnings haven't been so bad, right and we haven't seen 578 00:28:56,920 --> 00:29:01,400 Speaker 10: kind of this this you know recent from that news. 579 00:29:01,400 --> 00:29:02,920 Speaker 10: So it's really those names that I think that have 580 00:29:02,960 --> 00:29:04,360 Speaker 10: to perform. So I'll be looking at that. 581 00:29:05,400 --> 00:29:08,200 Speaker 3: So, you know, one of the the big themes last 582 00:29:08,280 --> 00:29:10,760 Speaker 3: year and coming into this year was AI and obviously 583 00:29:10,880 --> 00:29:11,600 Speaker 3: Nvidia and all. 584 00:29:11,520 --> 00:29:12,360 Speaker 2: Those types of things. 585 00:29:12,400 --> 00:29:15,360 Speaker 3: We saw some pretty violent action on Friday some of 586 00:29:15,360 --> 00:29:16,520 Speaker 3: those names kind of coming down. 587 00:29:16,600 --> 00:29:19,160 Speaker 2: Was that kind of a technical move for you or 588 00:29:19,200 --> 00:29:19,360 Speaker 2: do you. 589 00:29:19,360 --> 00:29:21,440 Speaker 3: Feel like the bloom is kind of coming off the 590 00:29:21,520 --> 00:29:23,719 Speaker 3: roads a little bit on some of those AI driven 591 00:29:24,000 --> 00:29:25,040 Speaker 3: thematic names. 592 00:29:26,320 --> 00:29:29,320 Speaker 10: So I think that this is you know I always 593 00:29:29,360 --> 00:29:31,280 Speaker 10: talk about like buy on the dip opportunities. 594 00:29:31,720 --> 00:29:32,280 Speaker 9: This is it. 595 00:29:32,400 --> 00:29:34,880 Speaker 10: I mean, I think that with some of the top names, 596 00:29:34,880 --> 00:29:37,920 Speaker 10: if you're looking to get invested in AI or quantum computing, 597 00:29:38,000 --> 00:29:40,840 Speaker 10: and you know you're a stock picker, you're an ETF buyer, 598 00:29:41,400 --> 00:29:44,160 Speaker 10: these five to ten percent recent pullbacks and some of 599 00:29:44,200 --> 00:29:46,760 Speaker 10: these top names are really good opportunities to get back in. 600 00:29:46,880 --> 00:29:50,640 Speaker 10: You know, AI innovation isn't going anywhere. It's just in 601 00:29:50,680 --> 00:29:53,120 Speaker 10: the beginning. It's it's in its infancy. And when you 602 00:29:53,160 --> 00:29:56,760 Speaker 10: think about when other companies and sectors start talking about 603 00:29:56,800 --> 00:29:59,320 Speaker 10: how AI has transformed what they do, whether it's the 604 00:29:59,360 --> 00:30:03,440 Speaker 10: defend section or you know, banks talking about better risk mitigation, 605 00:30:04,080 --> 00:30:09,760 Speaker 10: pharmaceuticals talking about more efficient drug discovery, price discovery, you know, 606 00:30:09,960 --> 00:30:12,440 Speaker 10: more effective surgeries in the healthcare system, things like this. 607 00:30:13,040 --> 00:30:14,480 Speaker 9: You know you're going to start to. 608 00:30:14,480 --> 00:30:17,920 Speaker 10: See how compelling it is to continue to buy these stocks. 609 00:30:17,960 --> 00:30:20,360 Speaker 10: Is that innovation builds out and you know, we're barely 610 00:30:20,360 --> 00:30:23,360 Speaker 10: scratching the surface with supercomputing and quantum competing too. So 611 00:30:23,800 --> 00:30:25,560 Speaker 10: when you have all of this data, it has to 612 00:30:25,560 --> 00:30:28,440 Speaker 10: be processed quickly. In order for that to happen, you're 613 00:30:28,440 --> 00:30:30,680 Speaker 10: going to have to kind of like buy up supercomputers 614 00:30:30,720 --> 00:30:32,920 Speaker 10: and quantum computers and things like this too. So I 615 00:30:33,000 --> 00:30:35,240 Speaker 10: just think that it's a great time to get back 616 00:30:35,280 --> 00:30:37,320 Speaker 10: in or get in if you know, if you've kind 617 00:30:37,320 --> 00:30:37,920 Speaker 10: of had FOMO. 618 00:30:38,760 --> 00:30:41,080 Speaker 9: Even though the stock prices are high, they have pulled back. 619 00:30:41,600 --> 00:30:44,640 Speaker 3: What's the I guess you know, it defines ETFs. Where 620 00:30:44,680 --> 00:30:48,440 Speaker 3: are you guys seeing the fund flows these days? 621 00:30:49,880 --> 00:30:53,160 Speaker 10: Yeah, so two places, well the three places really, So 622 00:30:53,520 --> 00:30:55,959 Speaker 10: we see a lot of flows into target income funds. 623 00:30:55,960 --> 00:30:58,520 Speaker 10: So the investor that just likes to have that, you know, 624 00:30:58,640 --> 00:31:00,920 Speaker 10: double digit monthly return at the end of the month 625 00:31:00,960 --> 00:31:02,920 Speaker 10: and have broad based index exposure. 626 00:31:02,960 --> 00:31:04,160 Speaker 9: So we see a lot of flows. 627 00:31:03,880 --> 00:31:08,719 Speaker 10: Into our SPYT and iwmy off of investors that want dividends. 628 00:31:08,920 --> 00:31:11,320 Speaker 10: But I would say the fun that people are talking 629 00:31:11,320 --> 00:31:13,600 Speaker 10: about the most and has kind of grown the most, 630 00:31:13,600 --> 00:31:17,440 Speaker 10: even though it's been around kind of the longest is quantum. 631 00:31:17,040 --> 00:31:19,920 Speaker 9: And that's the AI and machine learning what we were 632 00:31:19,960 --> 00:31:20,560 Speaker 9: just talking about. 633 00:31:20,600 --> 00:31:22,480 Speaker 10: You know, I think a lot of investors realize that 634 00:31:23,000 --> 00:31:25,680 Speaker 10: Navidia and AMD while they all know stocks, there's got 635 00:31:25,720 --> 00:31:28,040 Speaker 10: to be something else. They don't necessarily know who the 636 00:31:28,080 --> 00:31:30,120 Speaker 10: winners are going to be, or who that's something else, 637 00:31:30,160 --> 00:31:32,320 Speaker 10: what that something else is, And so they liked the 638 00:31:33,000 --> 00:31:35,800 Speaker 10: you know, equal weighted basket of seventy stocks that are 639 00:31:35,840 --> 00:31:41,200 Speaker 10: covering semiconductors, graphics, you know, technology, computers, cloud, cyber things 640 00:31:41,240 --> 00:31:42,960 Speaker 10: like this, and so we've seen a lot of interest 641 00:31:43,040 --> 00:31:45,120 Speaker 10: there from investors. 642 00:31:45,280 --> 00:31:47,400 Speaker 3: How about only the fixed income side, I mean, are 643 00:31:47,440 --> 00:31:49,080 Speaker 3: you seeing money flow in? Because I mean you can 644 00:31:49,400 --> 00:31:50,920 Speaker 3: sit there at a two year treasure, you can get 645 00:31:50,920 --> 00:31:53,520 Speaker 3: close to the five percent. I know some folks were 646 00:31:53,520 --> 00:31:56,520 Speaker 3: saying in some ETFs they were seeing like the folks 647 00:31:56,560 --> 00:31:59,120 Speaker 3: at bond blocks, for example, will focus on ETFs seeing 648 00:31:59,160 --> 00:32:00,479 Speaker 3: a lot of fun flow into there. 649 00:32:00,480 --> 00:32:01,360 Speaker 2: Are you seeing that as well? 650 00:32:02,720 --> 00:32:02,960 Speaker 7: Yeah? 651 00:32:02,960 --> 00:32:04,960 Speaker 10: And so when the market pulls back, I mean we 652 00:32:04,960 --> 00:32:06,720 Speaker 10: definitely see that. We don't see that on our side, 653 00:32:06,720 --> 00:32:08,520 Speaker 10: we don't really have those types of products. But when 654 00:32:08,640 --> 00:32:12,360 Speaker 10: when you see that, it's usually you know, it was 655 00:32:12,520 --> 00:32:14,760 Speaker 10: it was years of inflation that was too high and 656 00:32:14,800 --> 00:32:17,160 Speaker 10: stocks thats just weren't running like a twenty twenty two 657 00:32:17,320 --> 00:32:19,280 Speaker 10: tech recession where you're going to put your money at 658 00:32:19,320 --> 00:32:21,760 Speaker 10: five percent treasuries made sense, but I would argue that 659 00:32:21,800 --> 00:32:24,360 Speaker 10: this year is different, and those trillions of dollars that 660 00:32:24,400 --> 00:32:26,880 Speaker 10: are sitting in those products and on the sidelines, I 661 00:32:26,920 --> 00:32:29,360 Speaker 10: think we'll eventually make their way back into the market. 662 00:32:29,400 --> 00:32:31,320 Speaker 10: You know, Yes, we've had a five percent pullback, but 663 00:32:31,320 --> 00:32:34,120 Speaker 10: look at Broadway secuity performance this year. I think you'd 664 00:32:34,200 --> 00:32:37,040 Speaker 10: rather be invested there than you wouldn't treasuries. And I 665 00:32:37,040 --> 00:32:40,160 Speaker 10: think that that'll slowly start to you know, revert back 666 00:32:40,160 --> 00:32:43,600 Speaker 10: into the markets, particularly if we get you know, a broadening. 667 00:32:43,160 --> 00:32:45,360 Speaker 9: Of performance in the markets. But for now, you know, 668 00:32:45,880 --> 00:32:46,760 Speaker 9: market pulls back yup. 669 00:32:46,800 --> 00:32:49,120 Speaker 10: Geopolitical risk you have, you know, a FED that's kind 670 00:32:49,120 --> 00:32:52,920 Speaker 10: of you know, less less iffy about those rate cuts 671 00:32:52,920 --> 00:32:54,600 Speaker 10: and things like that, and some investors tend to flee 672 00:32:54,640 --> 00:32:56,120 Speaker 10: to safety, you know. 673 00:32:56,520 --> 00:32:57,920 Speaker 3: So if I know one of the names on your list, 674 00:32:57,960 --> 00:32:59,760 Speaker 3: and we've talked about it in the past, is IBM 675 00:33:00,560 --> 00:33:04,480 Speaker 3: in the world of AI or in quantum computing, what 676 00:33:04,560 --> 00:33:06,880 Speaker 3: does it the likes of an IBM play. 677 00:33:08,280 --> 00:33:08,480 Speaker 7: Yeah. 678 00:33:08,480 --> 00:33:10,240 Speaker 10: So it's so funny because I think, and we talked 679 00:33:10,240 --> 00:33:12,600 Speaker 10: about this before too, it's almost like that sleeper tech 680 00:33:13,320 --> 00:33:16,640 Speaker 10: tech stock, right, just what happened to IBM, And I 681 00:33:16,640 --> 00:33:18,360 Speaker 10: would say that they're back, you know, I mean they 682 00:33:18,360 --> 00:33:20,440 Speaker 10: were always here, they had Watson. They're sort of the 683 00:33:20,480 --> 00:33:24,600 Speaker 10: first you know, true AI play I think, but they 684 00:33:24,640 --> 00:33:26,960 Speaker 10: just weren't kind of known for it, I guess. And 685 00:33:27,000 --> 00:33:28,920 Speaker 10: now they're coming out of the woodworks because they're doing 686 00:33:28,960 --> 00:33:31,880 Speaker 10: so much work in quantum computing and supercomputing and they're 687 00:33:31,960 --> 00:33:35,880 Speaker 10: you know, kind of providing services to Fortune five hundred 688 00:33:35,920 --> 00:33:39,040 Speaker 10: companies using their AI technology. But then they're also building 689 00:33:39,040 --> 00:33:42,080 Speaker 10: and scoping out quantum computing. So they have deals with 690 00:33:42,600 --> 00:33:45,600 Speaker 10: Cleveland Clinic to to you know, create better drugs and 691 00:33:45,600 --> 00:33:47,520 Speaker 10: pharmaceutical discovery processes. 692 00:33:47,560 --> 00:33:50,880 Speaker 9: They have a project with Korea Quantum where they're looking. 693 00:33:50,680 --> 00:33:54,800 Speaker 10: At, you know, more precise information around aerospace and defense 694 00:33:54,880 --> 00:33:59,240 Speaker 10: and then also you know military types of logistical projects 695 00:33:59,280 --> 00:34:01,120 Speaker 10: that they're working on. And you know, you think about 696 00:34:01,120 --> 00:34:04,000 Speaker 10: the US government pumping into pumping money into you know, 697 00:34:04,320 --> 00:34:07,080 Speaker 10: kind of defense and quantum competing in AI as it 698 00:34:07,120 --> 00:34:09,640 Speaker 10: relates to that, You're going to see IBM have a 699 00:34:10,000 --> 00:34:11,840 Speaker 10: good seat at the table I think in the future. 700 00:34:12,200 --> 00:34:14,240 Speaker 3: All right, Sylvia, thanks so much for joining us. Always 701 00:34:14,239 --> 00:34:16,480 Speaker 3: appreciate getting a few minutes of your time. Sylvia Jablonski, 702 00:34:16,560 --> 00:34:20,120 Speaker 3: Chief Executive Officer and Chief Information Officer Defiance ETF. 703 00:34:22,760 --> 00:34:26,640 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 704 00:34:26,719 --> 00:34:30,280 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 705 00:34:30,280 --> 00:34:33,440 Speaker 1: Auto with the Bloomberg Business. You can also listen live 706 00:34:33,560 --> 00:34:36,719 Speaker 1: on Amazon Alexa from our flagship New York station Just 707 00:34:36,800 --> 00:34:39,400 Speaker 1: Say Alexa playing Bloomberg eleven thirty. 708 00:34:40,640 --> 00:34:44,160 Speaker 3: Last week, Alex and I were at the Bloomberg BNF 709 00:34:44,520 --> 00:34:47,480 Speaker 3: conference that's New Energy Finance. These are the folks that 710 00:34:47,680 --> 00:34:51,640 Speaker 3: really look at the energy space in depth, including all 711 00:34:51,640 --> 00:34:55,719 Speaker 3: the new energy and new energy businesses that are being created. 712 00:34:55,440 --> 00:34:56,000 Speaker 2: Across the world. 713 00:34:56,000 --> 00:34:59,040 Speaker 3: Where we're looking at from the business perspective of global energy. 714 00:34:59,520 --> 00:35:01,680 Speaker 3: They had great conference last week in New York, some 715 00:35:01,840 --> 00:35:03,520 Speaker 3: really smart people. They were talking about some of the 716 00:35:03,560 --> 00:35:06,360 Speaker 3: bigger picture, bigger picture issues and what's getting done on 717 00:35:06,400 --> 00:35:08,759 Speaker 3: the ground. David dharerty joints US here today. He's head 718 00:35:08,760 --> 00:35:12,640 Speaker 3: of Oil and Renewable Fuels Research at Bloomberg BNEF here 719 00:35:12,680 --> 00:35:15,360 Speaker 3: in our Bloomberg Interactive Broker Studios. So, David, great conference 720 00:35:15,360 --> 00:35:17,759 Speaker 3: you guys had last week. I learned a lot because 721 00:35:17,760 --> 00:35:20,040 Speaker 3: I'm not an energy geek like Alex is, so I 722 00:35:20,120 --> 00:35:23,279 Speaker 3: learned a lot here just buy and large. What's the 723 00:35:23,360 --> 00:35:26,360 Speaker 3: view of the big energy companies here in the US 724 00:35:26,400 --> 00:35:31,000 Speaker 3: towards making that migration to maybe greener energy. 725 00:35:31,080 --> 00:35:33,279 Speaker 2: How committed are they? How long of a path do 726 00:35:33,280 --> 00:35:35,520 Speaker 2: you think this will be for global energy? 727 00:35:35,680 --> 00:35:38,800 Speaker 11: Yeah, long path, regardless whether you're European or American and 728 00:35:39,200 --> 00:35:44,080 Speaker 11: an oil producer, completely different angles. US companies have gone 729 00:35:44,120 --> 00:35:46,319 Speaker 11: into sort of a cleaner molecule when they're willing to 730 00:35:46,360 --> 00:35:49,000 Speaker 11: invest in low carbon tech, so think of like renewable 731 00:35:49,000 --> 00:35:52,799 Speaker 11: fuels ccs, hydrogen, and the Europeans have pretty much piled 732 00:35:52,840 --> 00:35:55,560 Speaker 11: into a bit of everything, but a lot of clean electrons, wind, 733 00:35:55,719 --> 00:35:59,600 Speaker 11: solar batteries, evs. Very different cultures. You know, Europe doesn't 734 00:35:59,600 --> 00:36:02,120 Speaker 11: produce as much oil as the US, so you know, 735 00:36:02,239 --> 00:36:03,520 Speaker 11: default position makes sense. 736 00:36:03,560 --> 00:36:06,040 Speaker 3: I think are you surprised just looking at I'm looking 737 00:36:06,080 --> 00:36:08,560 Speaker 3: at Brent crude here, You've got your Irish accent. I'm 738 00:36:08,600 --> 00:36:11,440 Speaker 3: assuming you look at Brent more than my WTI crude 739 00:36:11,440 --> 00:36:13,760 Speaker 3: oil just under eighty seven dollars per barrel. 740 00:36:14,080 --> 00:36:15,360 Speaker 2: I could make a case that it should be a 741 00:36:15,400 --> 00:36:16,239 Speaker 2: lot higher. 742 00:36:16,320 --> 00:36:18,440 Speaker 3: Given what's going on in the world with in the 743 00:36:18,480 --> 00:36:21,719 Speaker 3: Middle East, in Ukraine, with Russia and so on. 744 00:36:21,840 --> 00:36:23,200 Speaker 2: What's going on in it energy markets? 745 00:36:23,320 --> 00:36:26,040 Speaker 11: Yeah, everybody's looking at one hundred dollars, right, three digits 746 00:36:26,080 --> 00:36:28,920 Speaker 11: that the eyes are sort of focused on. The market's 747 00:36:28,960 --> 00:36:30,680 Speaker 11: just completely different to the way it used to be. Right, 748 00:36:30,680 --> 00:36:32,879 Speaker 11: if you had an attack on Iran five years ago, 749 00:36:32,920 --> 00:36:36,480 Speaker 11: you would have seen fifteen dollars upside on the price. 750 00:36:36,560 --> 00:36:39,759 Speaker 11: The market's one smarter. We've satellites, we can track things. 751 00:36:39,800 --> 00:36:42,239 Speaker 11: We've got people like Bloomberg, you know, counting ships going 752 00:36:42,239 --> 00:36:44,840 Speaker 11: in and out of regions. But also the market was 753 00:36:44,840 --> 00:36:47,080 Speaker 11: braced for it. It wasn't news, right, it wasn't. 754 00:36:47,120 --> 00:36:47,480 Speaker 5: It wasn't. 755 00:36:47,520 --> 00:36:49,920 Speaker 11: I guess we're expecting something to happen. The price is 756 00:36:49,960 --> 00:36:52,200 Speaker 11: built in. We've had a couple of months of sort 757 00:36:52,200 --> 00:36:54,680 Speaker 11: of like anxiety around the oil price, what could happen 758 00:36:54,680 --> 00:36:57,640 Speaker 11: to fundamentals? And then it was a bit anticlimactic. I 759 00:36:57,640 --> 00:37:00,400 Speaker 11: guess in the end, I mean. 760 00:37:00,640 --> 00:37:01,600 Speaker 2: I guess what's changed? 761 00:37:01,680 --> 00:37:03,759 Speaker 3: Just we're talking about it in the break here, I mean, 762 00:37:03,960 --> 00:37:06,120 Speaker 3: just in the blink of an eye. It seems like 763 00:37:06,160 --> 00:37:08,520 Speaker 3: the United States has gone from a big, big net 764 00:37:08,600 --> 00:37:11,799 Speaker 3: importer of oil so now being a pretty big net 765 00:37:11,960 --> 00:37:15,520 Speaker 3: exporter of oil. What does that mean for the global markets? 766 00:37:15,520 --> 00:37:17,160 Speaker 3: Does that mean we don't have to worry about Opek 767 00:37:17,200 --> 00:37:18,120 Speaker 3: or any of those guys. 768 00:37:18,440 --> 00:37:19,840 Speaker 11: Absolutely have to worry about Opeking. 769 00:37:20,000 --> 00:37:20,399 Speaker 2: Those guys. 770 00:37:20,480 --> 00:37:21,279 Speaker 8: Yeah, yeah, I. 771 00:37:21,200 --> 00:37:24,520 Speaker 11: Mean, if you look at the world of sanctions about 772 00:37:25,520 --> 00:37:28,160 Speaker 11: just over, just over, the amount of Saudi Arabia and 773 00:37:28,200 --> 00:37:32,879 Speaker 11: exports is now sanctioned Venezuela around and Russia. Right, that's huge. 774 00:37:32,920 --> 00:37:35,240 Speaker 11: You're taking let's say, the equivalent of the biggest producer 775 00:37:35,560 --> 00:37:39,480 Speaker 11: that's falling under our form of sanctions. US produces a 776 00:37:39,480 --> 00:37:41,160 Speaker 11: bunch of oil, yes, but it's not the right kind 777 00:37:41,200 --> 00:37:42,800 Speaker 11: of oil for the US, so it's got to swap 778 00:37:42,800 --> 00:37:43,680 Speaker 11: it out into the market. 779 00:37:44,040 --> 00:37:45,919 Speaker 2: You know, there's a lighter crud. 780 00:37:46,000 --> 00:37:48,160 Speaker 11: Yeah, exactly where You've got really great refineries here that 781 00:37:48,200 --> 00:37:51,640 Speaker 11: are built for Venezuela and Mexican oil. Right, Okay, so 782 00:37:51,680 --> 00:37:53,920 Speaker 11: there's this swap happening. And then if you bring in 783 00:37:54,000 --> 00:37:58,120 Speaker 11: sort of disruptions around straights from US et cetera, any 784 00:37:58,200 --> 00:38:01,319 Speaker 11: disruption and shipping adds back clog into the whole, you know, 785 00:38:01,360 --> 00:38:03,040 Speaker 11: the pipeline of how to get oil from A to 786 00:38:03,080 --> 00:38:06,360 Speaker 11: B where it's needed. So the market's changing, the disruptions 787 00:38:06,400 --> 00:38:09,040 Speaker 11: are changing. The US is a big producer and we've 788 00:38:09,080 --> 00:38:11,200 Speaker 11: seen that makeup for some of those OPEC cuts in 789 00:38:11,200 --> 00:38:13,960 Speaker 11: the last couple of months, but absolutely still got to 790 00:38:13,960 --> 00:38:16,800 Speaker 11: pay attention to what OPEC seeing and those big sanctioning exports. 791 00:38:16,920 --> 00:38:18,360 Speaker 2: Well, let's go to the sanctions. 792 00:38:18,360 --> 00:38:20,320 Speaker 3: I mean, I'm just I don't know anything about the 793 00:38:20,360 --> 00:38:22,560 Speaker 3: energy market other than what alex Steel tells me. But 794 00:38:22,640 --> 00:38:25,520 Speaker 3: it just doesn't seem like sanctions really work on it. 795 00:38:25,520 --> 00:38:28,120 Speaker 3: The oil finds its way around, whether it's from Russia 796 00:38:28,160 --> 00:38:31,279 Speaker 3: to India. India refines it and then it ends up 797 00:38:31,320 --> 00:38:33,680 Speaker 3: in my car in New Jersey. I mean, how does 798 00:38:34,120 --> 00:38:35,600 Speaker 3: the sanctions work from your perspective? 799 00:38:36,280 --> 00:38:38,279 Speaker 11: I think they're probably working the way they're intended to 800 00:38:38,400 --> 00:38:40,600 Speaker 11: this time. But this sort of round and sanctions on 801 00:38:40,640 --> 00:38:43,000 Speaker 11: Russian Russian oil is just meant to be different to 802 00:38:43,000 --> 00:38:44,799 Speaker 11: those on around Right. If you think about Iran, it 803 00:38:44,840 --> 00:38:47,160 Speaker 11: was like stop exporting, stop producing, they want to contain it. 804 00:38:47,640 --> 00:38:49,680 Speaker 11: We've saw obviously volumes get to China about one and 805 00:38:49,760 --> 00:38:51,560 Speaker 11: a half million hours a day go to China from 806 00:38:51,560 --> 00:38:55,399 Speaker 11: around right, So pretty big Russia. The idea was not 807 00:38:55,560 --> 00:38:58,080 Speaker 11: to shock the market right by taking this big, big 808 00:38:58,120 --> 00:39:00,680 Speaker 11: export off the off of the market. About four million 809 00:39:00,680 --> 00:39:03,279 Speaker 11: bars per they exported out of Russia. That's huge, right, 810 00:39:03,440 --> 00:39:06,520 Speaker 11: much bigger than a run election year. They don't want 811 00:39:06,520 --> 00:39:09,040 Speaker 11: to rock the boat too much. Gasoline prices even when 812 00:39:09,080 --> 00:39:12,280 Speaker 11: you're seeing evs in California breach like twenty percent of sales. 813 00:39:12,719 --> 00:39:14,480 Speaker 11: You tell your average person on the street that and 814 00:39:14,480 --> 00:39:17,680 Speaker 11: they'll say, why is my gasoline gallon so expensive? Right? 815 00:39:17,960 --> 00:39:21,640 Speaker 11: Super sensitive election? You're us people like to drive. You 816 00:39:21,680 --> 00:39:23,240 Speaker 11: don't want to have that taken out of the pocket. 817 00:39:23,280 --> 00:39:26,160 Speaker 3: Right, all right, So as you sit back and take 818 00:39:26,160 --> 00:39:28,439 Speaker 3: a look at your history is with oil trading, oil, 819 00:39:28,480 --> 00:39:30,439 Speaker 3: all the distillates, all that kind of stuff you're from. 820 00:39:30,840 --> 00:39:32,799 Speaker 3: You know, you're kind of like John Talkern, we're kind 821 00:39:32,840 --> 00:39:34,960 Speaker 3: of old energy people. But you live in a world 822 00:39:35,000 --> 00:39:37,600 Speaker 3: of new energy finance. How do you think, Like if 823 00:39:37,640 --> 00:39:41,319 Speaker 3: you what's what are the NEF people saying ten years now, 824 00:39:41,320 --> 00:39:45,840 Speaker 3: twenty years now, what percentage of global energy supply will. 825 00:39:45,640 --> 00:39:48,719 Speaker 2: Be you know, lack of a better word, green. 826 00:39:48,600 --> 00:39:50,800 Speaker 3: Versus kind of the fossil fuels is or a feeling 827 00:39:50,840 --> 00:39:52,240 Speaker 3: that that could be material. 828 00:39:52,680 --> 00:39:53,600 Speaker 2: It will be material. 829 00:39:53,680 --> 00:39:56,640 Speaker 11: But it's important to put into context what's growth versus 830 00:39:56,640 --> 00:39:59,320 Speaker 11: what's currently existing. Right, the world isn't slowing down and 831 00:39:59,360 --> 00:40:02,239 Speaker 11: its energy can asumption growth story. So you're seeing more green, 832 00:40:02,280 --> 00:40:04,239 Speaker 11: but it's meeting a lot of that upside that growth. Right, 833 00:40:04,600 --> 00:40:06,520 Speaker 11: You're still seeing a lot of fossil fuels in the mix. 834 00:40:06,600 --> 00:40:11,160 Speaker 11: That's way harder to displace. So you're seeing evs being 835 00:40:11,239 --> 00:40:13,960 Speaker 11: like really high percentage of sales in places like China, 836 00:40:14,040 --> 00:40:18,200 Speaker 11: but you're still seeing healthy internal combustion engine sales in China, right, 837 00:40:18,880 --> 00:40:21,719 Speaker 11: That growth and mobility demand in markets like that. It's 838 00:40:21,719 --> 00:40:24,239 Speaker 11: just outstripping anything we can do to disrupt the sort 839 00:40:24,280 --> 00:40:26,920 Speaker 11: of status quo of a fossil any. 840 00:40:26,680 --> 00:40:30,000 Speaker 2: So, where's the argument today, which I've heard for twenty years? 841 00:40:30,360 --> 00:40:33,720 Speaker 2: Peak oil? Are we is that even a concept? 842 00:40:33,880 --> 00:40:36,520 Speaker 3: Or is because the world economy is growing that there 843 00:40:36,560 --> 00:40:39,439 Speaker 3: always will be I guess increasing demand for oil. 844 00:40:39,480 --> 00:40:39,839 Speaker 2: I don't know. 845 00:40:39,960 --> 00:40:42,560 Speaker 11: I mean, yeah, we are house here is twenty twenty nine, right, 846 00:40:42,600 --> 00:40:45,120 Speaker 11: but it's you know, it's modeling, it's it's oil at 847 00:40:45,120 --> 00:40:49,440 Speaker 11: twenty twenty nine demand exactly, Yeah, twenty twenty nine. For 848 00:40:49,520 --> 00:40:52,520 Speaker 11: every EV displaced, does an airplane going into the sky 849 00:40:52,960 --> 00:40:55,040 Speaker 11: or demand for plastics. Some things are a lot easier 850 00:40:55,040 --> 00:40:57,760 Speaker 11: to displace than others. But road is important. It's really interesting. 851 00:40:57,800 --> 00:41:00,360 Speaker 11: It's forty five percent of all oil consumers wheels on 852 00:41:00,440 --> 00:41:03,240 Speaker 11: the ground. Right, So this electric story that people sometimes 853 00:41:03,239 --> 00:41:05,680 Speaker 11: shift off and say whatever, Yep, that's the one to watch, 854 00:41:05,719 --> 00:41:06,000 Speaker 11: I think. 855 00:41:06,160 --> 00:41:08,320 Speaker 3: So, I mean, do you think that, Like here, Tesla 856 00:41:08,400 --> 00:41:11,200 Speaker 3: stocks down over forty percent year to date, Some people 857 00:41:11,239 --> 00:41:13,800 Speaker 3: think we've seen peak EV demand. 858 00:41:14,080 --> 00:41:14,560 Speaker 2: What do you think? 859 00:41:14,560 --> 00:41:15,880 Speaker 3: Because I know in other parts of the world it 860 00:41:16,360 --> 00:41:17,640 Speaker 3: continues to grow dramatically. 861 00:41:17,880 --> 00:41:19,640 Speaker 11: You know, that will get clicks in a headline, but 862 00:41:19,880 --> 00:41:22,880 Speaker 11: realistically that's the world is not just Tesla when it 863 00:41:22,920 --> 00:41:24,919 Speaker 11: comes to EV's and if you look outside of the US, 864 00:41:25,000 --> 00:41:28,040 Speaker 11: there's a huge range of automakers piling into that. China, 865 00:41:28,160 --> 00:41:31,240 Speaker 11: Europe over twenty percent of sales. We're at the point 866 00:41:31,680 --> 00:41:35,320 Speaker 11: the US might not be. California is rapid tipping point. 867 00:41:36,040 --> 00:41:38,440 Speaker 11: Some will go faster than that. There's in some some wones, right, 868 00:41:39,080 --> 00:41:41,080 Speaker 11: there's a lot of growth there still in some markets. 869 00:41:41,160 --> 00:41:43,279 Speaker 3: Yeah, I mean, I thanks to Matt Miller, I drove 870 00:41:43,360 --> 00:41:46,399 Speaker 3: testra of the F one fifty electric thing. 871 00:41:46,440 --> 00:41:48,759 Speaker 2: That was a right beast man. That is really cool. 872 00:41:48,760 --> 00:41:50,640 Speaker 3: So I could see a bunch of the F one 873 00:41:50,680 --> 00:41:53,080 Speaker 3: to fifty people switching over electric. It looked, I mean 874 00:41:53,200 --> 00:41:56,439 Speaker 3: looked great, drove great had huge power, so good stuff. 875 00:41:56,440 --> 00:41:59,280 Speaker 3: Will see how it goes Tesla earnings after the closes tomorrow. 876 00:41:59,320 --> 00:42:01,440 Speaker 3: Listened in that it's called David Dharty joins us here. 877 00:42:01,520 --> 00:42:03,200 Speaker 3: Appreciate getting a couple of minutes of his time. He's 878 00:42:03,200 --> 00:42:06,720 Speaker 3: set of Oil and Renewable Fuels research at Bloomberg NEEF. 879 00:42:07,080 --> 00:42:09,520 Speaker 3: That's new Energy finance for the people that don't know. 880 00:42:09,760 --> 00:42:11,920 Speaker 3: Joining us here in our Bloomberg Interactive Brooker Studio. 881 00:42:12,239 --> 00:42:16,759 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 882 00:42:16,960 --> 00:42:20,640 Speaker 1: and anywhere else you'll get your podcasts. Listen live each weekday, 883 00:42:20,760 --> 00:42:23,719 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 884 00:42:23,840 --> 00:42:27,279 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 885 00:42:27,320 --> 00:42:30,520 Speaker 1: can also watch us live every weekday on YouTube and 886 00:42:30,680 --> 00:42:32,280 Speaker 1: always on the Bloomberg terminal