1 00:00:00,240 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,880 Speaker 1: Eastern on Apple Coarcklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,600 Speaker 1: or watch us live on YouTube. 6 00:00:24,040 --> 00:00:27,120 Speaker 2: And one of the bigger I think stock news stories 7 00:00:27,160 --> 00:00:30,920 Speaker 2: today Kurt Wagner Bloomberg News breaking the story that the 8 00:00:30,960 --> 00:00:34,040 Speaker 2: folks at Meta cutting back some of their spending on 9 00:00:34,200 --> 00:00:37,200 Speaker 2: the Metaverse, in particular by as much as thirty percent, 10 00:00:37,240 --> 00:00:41,080 Speaker 2: which is a big number because remember, folks, this company pivoted, 11 00:00:41,840 --> 00:00:44,560 Speaker 2: pivoted hard to the metaverse several years ago, to the 12 00:00:44,560 --> 00:00:47,280 Speaker 2: point where they changed their name from Facebook to Metaverse. 13 00:00:47,360 --> 00:00:50,280 Speaker 2: This was a big, big pivot for Mark Zuckerberg and 14 00:00:50,320 --> 00:00:52,040 Speaker 2: now kind of dialing it back a little bit. 15 00:00:52,080 --> 00:00:53,400 Speaker 3: So we want to get some more reporting on that. 16 00:00:53,400 --> 00:00:55,760 Speaker 2: We turned to Caroline I'd she joins us here in 17 00:00:55,760 --> 00:00:58,000 Speaker 2: study Bloomberg Tech co anchor. 18 00:00:58,400 --> 00:01:00,840 Speaker 3: So this is kind of a big I think from 19 00:01:00,840 --> 00:01:02,360 Speaker 3: mister Zuckerberg, don't you, Carolyn. 20 00:01:02,920 --> 00:01:03,680 Speaker 4: It's a signal. 21 00:01:03,800 --> 00:01:06,360 Speaker 5: And what's interesting about it is, as usual as they 22 00:01:06,400 --> 00:01:08,440 Speaker 5: think about the budget for twenty twenty six, they're going 23 00:01:08,520 --> 00:01:09,080 Speaker 5: to make layoffs. 24 00:01:09,080 --> 00:01:11,240 Speaker 4: They're going to cut about ten percent across the entire business. 25 00:01:11,280 --> 00:01:13,399 Speaker 4: That tends to be what happens at this time of year. 26 00:01:13,440 --> 00:01:15,840 Speaker 5: But he gathered his top executives in his house in 27 00:01:15,880 --> 00:01:18,800 Speaker 5: Hawaii to discuss, Okay, where should most of the resources be 28 00:01:18,800 --> 00:01:21,920 Speaker 5: coming from, because remember they're spending a ton on AI 29 00:01:21,959 --> 00:01:23,360 Speaker 5: and people have been worried about that. 30 00:01:23,800 --> 00:01:25,240 Speaker 4: How can he offset that? 31 00:01:25,280 --> 00:01:29,360 Speaker 5: Well, thirty percent more cuts therefore going to this particular 32 00:01:29,440 --> 00:01:32,119 Speaker 5: part of reality labs. Now, Reality Labs are still going 33 00:01:32,120 --> 00:01:34,679 Speaker 5: to be making your ray bound meta glasses. They've seen 34 00:01:34,760 --> 00:01:39,240 Speaker 5: real interest in the AI use in augmented reality, but 35 00:01:39,319 --> 00:01:41,119 Speaker 5: virtual reality, we're not living in it yet. He really 36 00:01:41,120 --> 00:01:43,000 Speaker 5: thought we'd all be doing our workouts there, would be 37 00:01:43,080 --> 00:01:45,360 Speaker 5: working there, and it just hasn't caught on in the 38 00:01:45,400 --> 00:01:47,520 Speaker 5: way that was expected. So of course, pull out resources 39 00:01:47,520 --> 00:01:50,520 Speaker 5: from there, reallocate them, and I do think that it's interesting. 40 00:01:50,520 --> 00:01:53,040 Speaker 5: Of course they rebranded under this name for now it's 41 00:01:53,040 --> 00:01:56,640 Speaker 5: becoming sort of a metaverse of AI and augmented reality 42 00:01:56,760 --> 00:01:58,880 Speaker 5: rather than virtual reality right here right now. 43 00:01:58,760 --> 00:02:01,520 Speaker 6: So was meta just to earlier? Were not ready for 44 00:02:01,640 --> 00:02:02,520 Speaker 6: a virtual reality? 45 00:02:02,720 --> 00:02:03,400 Speaker 2: Or we are? 46 00:02:03,760 --> 00:02:05,080 Speaker 4: Okay, I mean, are you using it. 47 00:02:05,360 --> 00:02:07,840 Speaker 5: I'm I mean, my husband loved getting He got the 48 00:02:08,280 --> 00:02:11,400 Speaker 5: one of the original sort of Ocunus versions of the headset, 49 00:02:11,440 --> 00:02:12,679 Speaker 5: and yeah, he was doing workouts. 50 00:02:12,680 --> 00:02:15,320 Speaker 4: And then he sold it in a Gara set. 51 00:02:15,440 --> 00:02:17,079 Speaker 5: Because I think and it got to a point where 52 00:02:17,080 --> 00:02:19,639 Speaker 5: it's like, what are the applications of this. I love 53 00:02:19,720 --> 00:02:22,560 Speaker 5: the idea of when I'm in working abroad and I 54 00:02:22,680 --> 00:02:25,040 Speaker 5: need to not have I need access to lots of screens, 55 00:02:25,080 --> 00:02:27,040 Speaker 5: but I can't have just lots of screens. It was 56 00:02:27,120 --> 00:02:29,680 Speaker 5: great to see how that could have been used, but 57 00:02:30,320 --> 00:02:32,200 Speaker 5: I wasn't going to spend that many thousands on the. 58 00:02:32,160 --> 00:02:32,680 Speaker 4: Piece of hardware. 59 00:02:32,720 --> 00:02:34,920 Speaker 5: They've really got to understand the integration here. That's kind 60 00:02:34,960 --> 00:02:36,600 Speaker 5: of why it's so interesting. It comes at that time. 61 00:02:36,680 --> 00:02:40,160 Speaker 5: We've also understand Aland from Apple. One of the key 62 00:02:40,800 --> 00:02:43,560 Speaker 5: interface design team leads the person who's been behind the 63 00:02:43,600 --> 00:02:46,919 Speaker 5: iPhone X and behind the operating system, behind the applications 64 00:02:46,960 --> 00:02:47,400 Speaker 5: of Apple. 65 00:02:47,639 --> 00:02:48,799 Speaker 4: He's jumping ship to Meta. 66 00:02:48,880 --> 00:02:50,919 Speaker 5: This is a huge coup. He's going to be thinking 67 00:02:50,919 --> 00:02:52,600 Speaker 5: about the design of these things in the future. 68 00:02:53,280 --> 00:02:55,280 Speaker 7: You bring that up about the Apple thing I seen. 69 00:02:55,440 --> 00:02:58,600 Speaker 2: That's not the first person we've seen Leu the Apple 70 00:02:58,639 --> 00:03:00,840 Speaker 2: AI stream going on there. 71 00:03:01,000 --> 00:03:02,799 Speaker 4: Yeah, they've really been shutting people in many ways. 72 00:03:02,880 --> 00:03:05,160 Speaker 5: This is tied more back to Johnny I's departure back 73 00:03:05,200 --> 00:03:06,880 Speaker 5: in twenty nineteen and they lost a lot of their 74 00:03:06,880 --> 00:03:10,440 Speaker 5: design prowess people. Then this is also turning of the guard. 75 00:03:10,600 --> 00:03:11,880 Speaker 5: A lot of these people have in an Apple for 76 00:03:11,919 --> 00:03:14,160 Speaker 5: a very long time. And we think about Tim Cook 77 00:03:14,240 --> 00:03:16,520 Speaker 5: himself coming to an age where he might be retiring. 78 00:03:16,800 --> 00:03:19,320 Speaker 5: Many are wondering how executives shift. But you're right, the 79 00:03:19,360 --> 00:03:22,560 Speaker 5: real deluge, the real loss has been in the AI area, 80 00:03:22,560 --> 00:03:24,960 Speaker 5: particularly in the large language model department, where they've just 81 00:03:25,000 --> 00:03:27,760 Speaker 5: taken so many hits in terms of morale because look, 82 00:03:27,760 --> 00:03:30,079 Speaker 5: they might have been turning to Google for its large 83 00:03:30,160 --> 00:03:32,280 Speaker 5: language model rather than building in house, and they've been 84 00:03:32,320 --> 00:03:36,240 Speaker 5: recently losing out or sort of waving goodbye to John 85 00:03:36,720 --> 00:03:37,480 Speaker 5: Jian Andrea. 86 00:03:37,640 --> 00:03:40,120 Speaker 4: That's the main lead of the. 87 00:03:40,120 --> 00:03:43,320 Speaker 2: Issuers at the assumption that they're going to farm this 88 00:03:43,520 --> 00:03:48,560 Speaker 2: their AI out to Google. Perhaps, And that's perhaps. And 89 00:03:48,600 --> 00:03:50,720 Speaker 2: I think we'll talk to Anna k Gran in just 90 00:03:50,720 --> 00:03:53,240 Speaker 2: a moment. He'll say, from a stock perspective, that's what 91 00:03:53,280 --> 00:03:55,360 Speaker 2: investors kind of want. Yeah, I mean it's well, why 92 00:03:55,400 --> 00:03:58,600 Speaker 2: spend a good jillion dollars to be just what you 93 00:03:58,640 --> 00:03:59,600 Speaker 2: do a search. 94 00:03:59,480 --> 00:04:01,840 Speaker 5: And it's been self limiting for Apple in many ways 95 00:04:01,880 --> 00:04:03,680 Speaker 5: because they're all about safety on the phone. 96 00:04:03,880 --> 00:04:06,080 Speaker 4: This is all about edjai. It's not about. 97 00:04:05,840 --> 00:04:08,800 Speaker 5: Therefore sending all your data into the cloud and doing 98 00:04:09,000 --> 00:04:12,120 Speaker 5: enormous amounts of data analysis and therefore feeding it through 99 00:04:12,200 --> 00:04:13,080 Speaker 5: large language models. 100 00:04:13,080 --> 00:04:14,160 Speaker 4: There they want. 101 00:04:14,000 --> 00:04:16,200 Speaker 5: To be secure. That means you have to only be 102 00:04:16,240 --> 00:04:20,159 Speaker 5: able to really do the compute on your own phone. 103 00:04:20,360 --> 00:04:22,200 Speaker 5: That's very limiting at the moment. So you're just not 104 00:04:22,240 --> 00:04:24,200 Speaker 5: getting the parameters that you need to have a really 105 00:04:24,200 --> 00:04:26,760 Speaker 5: effective large language model. So therefore maybe they do have 106 00:04:26,800 --> 00:04:29,680 Speaker 5: to shift to a part third party at least while 107 00:04:29,720 --> 00:04:30,960 Speaker 5: they get their ducks in a row. 108 00:04:31,279 --> 00:04:33,719 Speaker 6: So how are we thinking about how Meta is scaling 109 00:04:33,760 --> 00:04:35,760 Speaker 6: against a lot of its competitors right now as we 110 00:04:35,800 --> 00:04:37,120 Speaker 6: think about this AI race. 111 00:04:37,120 --> 00:04:39,920 Speaker 5: Why isn't it interesting all dogtails together in the same way. 112 00:04:40,520 --> 00:04:44,080 Speaker 5: For many Meta is showing that it's putting AI first. 113 00:04:44,160 --> 00:04:46,760 Speaker 5: And we've understand the impact because everyone loves these ray 114 00:04:46,760 --> 00:04:48,000 Speaker 5: band metaglasses. 115 00:04:48,000 --> 00:04:49,279 Speaker 4: They've been selling very well. 116 00:04:49,560 --> 00:04:53,160 Speaker 5: We've seen that people have really seen the revenue streams 117 00:04:53,200 --> 00:04:56,840 Speaker 5: galvanize the advertising offering. The market is loving how they've 118 00:04:56,920 --> 00:04:59,599 Speaker 5: used generator of AI within the product. We're all getting 119 00:04:59,600 --> 00:05:02,320 Speaker 5: fed a content more specific to us that's going to 120 00:05:02,320 --> 00:05:04,520 Speaker 5: be the help of Generator AI. But are we really 121 00:05:04,560 --> 00:05:07,480 Speaker 5: downloading Meta AI's own individual AI app. 122 00:05:08,000 --> 00:05:09,839 Speaker 4: I haven't. I'm using it more in WhatsApp. 123 00:05:09,880 --> 00:05:12,159 Speaker 5: But then we've also got the EU worrying about how 124 00:05:12,560 --> 00:05:16,280 Speaker 5: they're fending off competition in WhatsApp because they're saying, look, 125 00:05:16,360 --> 00:05:19,280 Speaker 5: chatchbt even though you can put your chatchybut within your 126 00:05:19,360 --> 00:05:23,400 Speaker 5: meta and WhatsApp at the moment, they're making it too difficult. 127 00:05:23,400 --> 00:05:25,120 Speaker 4: They don't want to be straining their own APIs. 128 00:05:25,160 --> 00:05:28,159 Speaker 5: Yeah, they don't want to be basically marketing Open AI's chatchibt. 129 00:05:28,240 --> 00:05:31,280 Speaker 5: They're only marketing well co pilot for Microsoft. They want 130 00:05:31,320 --> 00:05:33,400 Speaker 5: you to use Meta AI. So I think they've still 131 00:05:33,440 --> 00:05:34,880 Speaker 5: got to show that they're the place that you're going 132 00:05:34,920 --> 00:05:36,640 Speaker 5: to use large aguage models. They're the place you're going 133 00:05:36,680 --> 00:05:38,600 Speaker 5: to come from a chatbot, and I think more broadly, 134 00:05:38,640 --> 00:05:40,760 Speaker 5: they're the place that all of this ends up working 135 00:05:40,760 --> 00:05:42,920 Speaker 5: from a capital EXPENDITSHI perspective. So I think for many 136 00:05:42,960 --> 00:05:44,560 Speaker 5: over at BI they love the idea that they're going 137 00:05:44,560 --> 00:05:47,400 Speaker 5: to maybe use Google's TPUs because that's a cost saving Yeah. 138 00:05:47,480 --> 00:05:50,039 Speaker 2: Absolutely, Carolin, Hi, thank you so much for joinings. Caroline Hyde, 139 00:05:50,120 --> 00:05:52,839 Speaker 2: b Tech co anchor along with Ed Ludlow Bloomberg News. 140 00:05:52,880 --> 00:05:55,200 Speaker 2: They are on top of everything happening out there in 141 00:05:55,240 --> 00:05:57,680 Speaker 2: the world of technology in a Silicon valley. You appreciate 142 00:05:57,920 --> 00:05:59,760 Speaker 2: getting a few minutes of Caroline's time here. 143 00:06:00,680 --> 00:06:03,840 Speaker 7: Stay with us. More from Bloomberg Intelligence coming up after this. 144 00:06:07,960 --> 00:06:11,679 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 145 00:06:11,760 --> 00:06:15,119 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 146 00:06:15,240 --> 00:06:18,320 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 147 00:06:18,360 --> 00:06:21,320 Speaker 1: get your podcasts, or watch us live on YouTube. 148 00:06:22,080 --> 00:06:24,479 Speaker 2: Piece of news coming out of the tech space is 149 00:06:24,520 --> 00:06:26,800 Speaker 2: meta you know, stepping back a little bit from their 150 00:06:26,800 --> 00:06:30,480 Speaker 2: investments in the metaverse, and as Lisa Mitaylo's just reporting, 151 00:06:30,520 --> 00:06:33,200 Speaker 2: that's pushing a stock up four percent today, which is 152 00:06:33,240 --> 00:06:34,920 Speaker 2: a pretty big move here there's talks only a bit 153 00:06:34,920 --> 00:06:36,839 Speaker 2: about thirteen percent year to day. Let's check in with 154 00:06:36,839 --> 00:06:38,719 Speaker 2: Honor rog Ran and we'll talk about a lot of 155 00:06:38,760 --> 00:06:40,800 Speaker 2: tech issues out there. Honor rog Ron is a senior 156 00:06:40,839 --> 00:06:44,719 Speaker 2: technology annls from Bloomberg Intelligence out there in Chicago. Honra, 157 00:06:44,839 --> 00:06:47,640 Speaker 2: what do you make of this announcement or this report 158 00:06:47,640 --> 00:06:50,960 Speaker 2: from Bloomberg News, Kurt Wagner's reporting that Meta may cut 159 00:06:51,000 --> 00:06:55,239 Speaker 2: back investments on its metaverse by as much as thirty percent. 160 00:06:55,279 --> 00:06:55,839 Speaker 3: What do you make of that? 161 00:06:57,000 --> 00:06:58,880 Speaker 8: See, when you have to invest billions in the EI 162 00:06:59,040 --> 00:07:01,080 Speaker 8: sight of it, you gotta find that money somewhere. I 163 00:07:01,080 --> 00:07:03,520 Speaker 8: know they have good cash flow, but you know, right 164 00:07:03,560 --> 00:07:07,080 Speaker 8: now everything is going towards building your AI infrastructure, So 165 00:07:07,120 --> 00:07:09,039 Speaker 8: I think it makes sense for them to cut in 166 00:07:09,120 --> 00:07:12,800 Speaker 8: other regions or areas to fund this particular project. 167 00:07:13,680 --> 00:07:16,040 Speaker 6: It seems as though investors are clearly celebrating this. I 168 00:07:16,040 --> 00:07:19,080 Speaker 6: mean we're seeing it up more than three point eight 169 00:07:19,080 --> 00:07:21,840 Speaker 6: percent right now, and earlier a lot higher. What do 170 00:07:21,880 --> 00:07:24,120 Speaker 6: you think about next steps from here? I mean, clearly 171 00:07:24,160 --> 00:07:27,840 Speaker 6: they're trying to redistribute their funds into AI development. What 172 00:07:27,880 --> 00:07:29,240 Speaker 6: are investors looking for from that? 173 00:07:30,520 --> 00:07:32,240 Speaker 8: So the same way they were looking at you know, 174 00:07:32,320 --> 00:07:34,800 Speaker 8: metaverse a few years ago, they want to see an ROI. 175 00:07:34,960 --> 00:07:37,400 Speaker 8: They will ask, you know, the management team as to 176 00:07:37,640 --> 00:07:40,200 Speaker 8: you're investing all these billions to create new data center 177 00:07:40,480 --> 00:07:44,040 Speaker 8: super intelligence team. What do I have to c ine 178 00:07:44,120 --> 00:07:46,840 Speaker 8: terms of the return on the core business? And I 179 00:07:46,840 --> 00:07:48,960 Speaker 8: think that those questions are not just for meta but 180 00:07:49,080 --> 00:07:52,720 Speaker 8: the entire ecosystem as to what is the net effect 181 00:07:52,760 --> 00:07:56,400 Speaker 8: addition to your revenue or reduction to your expenses down 182 00:07:56,440 --> 00:07:58,440 Speaker 8: the road. And I think that is not going to 183 00:07:58,560 --> 00:08:00,920 Speaker 8: end anytime soon, all right. 184 00:08:00,880 --> 00:08:02,800 Speaker 2: So I don't know, I'm just I think most shareholders 185 00:08:02,800 --> 00:08:05,440 Speaker 2: are like, I don't really get the whole metaverse thing. 186 00:08:05,520 --> 00:08:07,400 Speaker 2: So to the extent you can scale back investment there 187 00:08:07,440 --> 00:08:10,440 Speaker 2: and put it anywhere else, that's probably a good thing. 188 00:08:10,520 --> 00:08:10,840 Speaker 6: All right. 189 00:08:10,880 --> 00:08:14,920 Speaker 2: We also had the salesforce reporting results. Talk to us 190 00:08:15,040 --> 00:08:17,880 Speaker 2: about that name because that name's been under pressure I think, 191 00:08:18,000 --> 00:08:20,320 Speaker 2: maybe potential threats from AI in general. 192 00:08:21,480 --> 00:08:23,680 Speaker 8: Yeah, there's say the results did come in, I mean 193 00:08:23,760 --> 00:08:25,800 Speaker 8: almost in line with how we were looking at it 194 00:08:25,800 --> 00:08:28,880 Speaker 8: in terms of that the core business is still struggling, 195 00:08:29,080 --> 00:08:31,080 Speaker 8: but when it comes to some of their AI products 196 00:08:31,080 --> 00:08:34,040 Speaker 8: that has started to do well, they've gained momentum. But 197 00:08:34,080 --> 00:08:36,200 Speaker 8: when you look at somebody like a Salesforce, when you 198 00:08:36,200 --> 00:08:39,200 Speaker 8: have a revenue base of forty one billion dollars, it 199 00:08:39,280 --> 00:08:41,760 Speaker 8: takes a lot to move the needle. So even though 200 00:08:41,760 --> 00:08:45,280 Speaker 8: these products are very small and you know, growing triple digits, 201 00:08:45,400 --> 00:08:48,320 Speaker 8: but they are not you know, right there in order 202 00:08:48,400 --> 00:08:50,960 Speaker 8: to take down what is happening on the core business, 203 00:08:51,000 --> 00:08:55,160 Speaker 8: which is a decline in seat growth or the less 204 00:08:55,200 --> 00:08:59,160 Speaker 8: addition of seats because of macro it spending, and that 205 00:08:59,280 --> 00:09:01,640 Speaker 8: is probably going to be the story at least for 206 00:09:01,720 --> 00:09:02,960 Speaker 8: the near term. 207 00:09:03,240 --> 00:09:06,360 Speaker 6: So it seems as though analysts are still generally positive 208 00:09:06,440 --> 00:09:08,800 Speaker 6: on in terms of AI adoption trends when we think 209 00:09:08,800 --> 00:09:09,920 Speaker 6: about this company though. 210 00:09:10,880 --> 00:09:12,920 Speaker 8: Yes, absolutely, and that's you know, one of the things. 211 00:09:12,920 --> 00:09:16,079 Speaker 8: We saw really good numbers on both the data cloud 212 00:09:16,120 --> 00:09:18,480 Speaker 8: side of Fate and also the agent force. But when 213 00:09:18,520 --> 00:09:20,480 Speaker 8: you look at the stock reaction last night, you know, 214 00:09:20,480 --> 00:09:22,760 Speaker 8: it was up five six percent. And finally people have 215 00:09:22,800 --> 00:09:26,080 Speaker 8: when you really scrape the numbers and see that their 216 00:09:26,400 --> 00:09:29,760 Speaker 8: commercial remaining performance obligations, which is the order book for 217 00:09:29,880 --> 00:09:32,880 Speaker 8: next quarter, which they expect to grow about thirteen percent 218 00:09:32,920 --> 00:09:37,160 Speaker 8: in constant currency. Four percentage of point of that is informatica. 219 00:09:37,240 --> 00:09:39,680 Speaker 8: So when you strip that out, you will see that 220 00:09:39,679 --> 00:09:43,000 Speaker 8: that particular backlock number goes from eleven percent this quarter 221 00:09:43,240 --> 00:09:45,280 Speaker 8: to let's say nine or ten percent. So the core 222 00:09:45,360 --> 00:09:47,760 Speaker 8: is still declining or the core is still under pressure. 223 00:09:48,679 --> 00:09:51,080 Speaker 2: So the stock down twenty seven percent year to date 224 00:09:51,280 --> 00:09:53,600 Speaker 2: on a rock is that does that reflect the fact 225 00:09:53,600 --> 00:09:57,400 Speaker 2: that it's just it budgets are tight, or that AI 226 00:09:57,559 --> 00:10:02,239 Speaker 2: poses an existential threat to certain providers like a Salesforce. 227 00:10:03,640 --> 00:10:05,839 Speaker 8: I don't think that's the case, because it's going to 228 00:10:05,880 --> 00:10:09,480 Speaker 8: be very difficult for an established Fortune two thousand company 229 00:10:09,679 --> 00:10:12,240 Speaker 8: to get rid of their core system of record, you know, 230 00:10:12,240 --> 00:10:15,840 Speaker 8: whether that's an HR sales customer service and just deploy 231 00:10:15,840 --> 00:10:18,080 Speaker 8: a model in there. At least, we are not there yet. 232 00:10:18,160 --> 00:10:20,319 Speaker 8: Maybe you know, five years down the road, we may 233 00:10:20,360 --> 00:10:23,240 Speaker 8: see a scenario like this, but that's not really why 234 00:10:23,320 --> 00:10:26,600 Speaker 8: Salesforce is struggling. It is basically, we are the largest 235 00:10:26,640 --> 00:10:30,240 Speaker 8: provider of sales automation tool and customer service tool to 236 00:10:30,320 --> 00:10:33,520 Speaker 8: Fortune two thousand companies. It's those companies that are not 237 00:10:33,640 --> 00:10:36,559 Speaker 8: hiring at that same rate that they used to because 238 00:10:36,720 --> 00:10:40,160 Speaker 8: outside of AI and AI infrastructure, everything else is still 239 00:10:40,160 --> 00:10:41,400 Speaker 8: weak at this point. 240 00:10:41,920 --> 00:10:45,120 Speaker 2: All right, Dona our good stuff as always, Honor Agrana. 241 00:10:45,160 --> 00:10:49,280 Speaker 2: He is our senior technology analyst, Bloomberg Intelligence from the 242 00:10:49,320 --> 00:10:52,599 Speaker 2: burgeoning tech hub of Chicago, Illinois. We appreciate gtting a 243 00:10:52,600 --> 00:10:54,800 Speaker 2: few minutes of your time stay with us. More from 244 00:10:54,800 --> 00:10:56,840 Speaker 2: Bloomberg Intelligence coming up after this. 245 00:11:00,760 --> 00:11:04,440 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 246 00:11:04,520 --> 00:11:07,640 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 247 00:11:07,640 --> 00:11:10,959 Speaker 1: Auto with the Bloomberg Business Up. Listen on demand wherever 248 00:11:11,000 --> 00:11:14,280 Speaker 1: you get your podcasts, or watch us live on YouTube. 249 00:11:14,720 --> 00:11:17,880 Speaker 2: Dick Sporting Goods reported some numbers here the stocks off 250 00:11:17,880 --> 00:11:20,920 Speaker 2: about one percent, but. 251 00:11:21,000 --> 00:11:22,720 Speaker 3: Boy they put up I thought they were some pretty 252 00:11:22,720 --> 00:11:24,480 Speaker 3: decent numbers. But what do I know about this stuff? 253 00:11:24,840 --> 00:11:27,480 Speaker 2: Lindsay Dutch Consumer Hardline senior analy She's the expert, and 254 00:11:27,520 --> 00:11:28,720 Speaker 2: she's a Bloomberg Intelligence. 255 00:11:28,920 --> 00:11:29,760 Speaker 3: She joins us here. 256 00:11:30,400 --> 00:11:32,400 Speaker 7: Lindsay, talk to us about Dick's Sporting Goods. 257 00:11:32,440 --> 00:11:33,920 Speaker 3: What did you learn with their earnings release? 258 00:11:34,400 --> 00:11:34,880 Speaker 4: Positive? 259 00:11:35,000 --> 00:11:37,439 Speaker 9: I think that there's, you know, continued strength in the 260 00:11:37,520 --> 00:11:41,000 Speaker 9: legacy business, and sometimes that that's being overshadowed by their 261 00:11:41,040 --> 00:11:46,160 Speaker 9: Footlocker acquisition, which close in early September. But there's certainly 262 00:11:46,200 --> 00:11:49,720 Speaker 9: pressure on this retailer to execute a very quick turnaround 263 00:11:49,760 --> 00:11:55,040 Speaker 9: at Footlocker, and they are already planning to aggressively offload 264 00:11:55,120 --> 00:11:58,720 Speaker 9: some stale inventory and close some stores. And we even 265 00:11:58,720 --> 00:12:01,760 Speaker 9: saw some of that change is already over the Black 266 00:12:01,800 --> 00:12:04,760 Speaker 9: Friday and Cyber Monday shopping weekend. 267 00:12:05,040 --> 00:12:06,920 Speaker 6: What's really in the focus, They were with foot Locker 268 00:12:06,960 --> 00:12:08,680 Speaker 6: would have been the issues at play. 269 00:12:10,160 --> 00:12:12,079 Speaker 9: So Footlocker is a little bit of a different animal 270 00:12:12,160 --> 00:12:16,200 Speaker 9: for Dix. They have a lifestyle focus. They also have 271 00:12:16,320 --> 00:12:19,920 Speaker 9: to be more on trend with their assortment and they 272 00:12:19,960 --> 00:12:21,800 Speaker 9: really have to carry sort of the top of the 273 00:12:21,840 --> 00:12:26,480 Speaker 9: line items, you know, across a variety of brands running 274 00:12:26,480 --> 00:12:30,760 Speaker 9: shoes have been in lately. Dix does have expertise sort 275 00:12:30,760 --> 00:12:34,520 Speaker 9: of in that more sports focused arena. And so you know, 276 00:12:34,600 --> 00:12:37,599 Speaker 9: Dix is looking to bring its strong partnerships with a 277 00:12:37,679 --> 00:12:41,040 Speaker 9: Nike for example, and other brands like that to elevate 278 00:12:41,120 --> 00:12:44,560 Speaker 9: the assortment, which should help. They're also looking to bring 279 00:12:44,640 --> 00:12:46,800 Speaker 9: in more apparel to the stores and I saw that 280 00:12:47,120 --> 00:12:48,559 Speaker 9: when I was out on Black Friday. 281 00:12:48,600 --> 00:12:48,959 Speaker 8: You know, my. 282 00:12:48,920 --> 00:12:51,800 Speaker 9: Footlocker had a lot more apparel this year. They also 283 00:12:51,880 --> 00:12:56,160 Speaker 9: had lots of other brands that were being highlighted, Crocs, Timberland, 284 00:12:56,679 --> 00:12:59,160 Speaker 9: so all more doing a lot more than just Nike. 285 00:13:00,320 --> 00:13:04,360 Speaker 2: Dick's calls the World Cup quote the biggest sports moment 286 00:13:04,559 --> 00:13:07,160 Speaker 2: the US has ever had. What are they telling us 287 00:13:07,200 --> 00:13:10,559 Speaker 2: about the World Cup and maybe how it might impact 288 00:13:10,600 --> 00:13:11,120 Speaker 2: their company. 289 00:13:12,360 --> 00:13:15,679 Speaker 9: Yeah, so they mentioned that at the Morgan Stanley conference yesterday. 290 00:13:16,400 --> 00:13:19,520 Speaker 9: All of these sports moments have been really big for 291 00:13:19,640 --> 00:13:23,560 Speaker 9: their legacy business. People are really leaning into sport. They 292 00:13:23,679 --> 00:13:29,200 Speaker 9: saw over the shopping weekend interest in their products that 293 00:13:29,200 --> 00:13:32,400 Speaker 9: were marketed for the World Cup, and that could be 294 00:13:32,480 --> 00:13:35,480 Speaker 9: a key event to dry sales going forward. But they 295 00:13:35,600 --> 00:13:38,160 Speaker 9: touch lots of aspect of sport. Their golf business is 296 00:13:38,200 --> 00:13:41,920 Speaker 9: doing excellent this year. They also do very well in 297 00:13:42,040 --> 00:13:44,480 Speaker 9: just team sports when you think about getting your NFL 298 00:13:44,559 --> 00:13:47,640 Speaker 9: gear for your favorite teams and things like that. They're 299 00:13:47,679 --> 00:13:50,840 Speaker 9: really seeing success across the board. But those big events 300 00:13:51,040 --> 00:13:54,040 Speaker 9: just give them an opportunity to advertise and bring people 301 00:13:54,080 --> 00:13:54,880 Speaker 9: into their store. 302 00:13:55,400 --> 00:13:57,439 Speaker 6: Who are their main competitors right now? Who do you 303 00:13:57,520 --> 00:13:58,800 Speaker 6: see within this landscape? 304 00:13:59,760 --> 00:14:00,240 Speaker 4: Yeah? 305 00:14:00,040 --> 00:14:03,960 Speaker 9: Yeah, So that's a very difficult question, given that I 306 00:14:04,000 --> 00:14:05,960 Speaker 9: think that they've done a really good job sort of 307 00:14:06,000 --> 00:14:11,040 Speaker 9: breaking out of lifestyle and really focused on athletes, and 308 00:14:11,080 --> 00:14:13,320 Speaker 9: that's what makes them different than a foot locker, than 309 00:14:13,360 --> 00:14:17,240 Speaker 9: a JD Sport. I think one of their closer competitors 310 00:14:17,280 --> 00:14:23,000 Speaker 9: could be Academy Sports and Outdoors. They're much smaller in size, 311 00:14:22,800 --> 00:14:26,600 Speaker 9: but that retailer Academy, you know, does compete with Dix 312 00:14:26,640 --> 00:14:30,520 Speaker 9: and is looking to more focus on athletes and bringing 313 00:14:30,560 --> 00:14:34,480 Speaker 9: sort of that athletic assortment to their customer as well. 314 00:14:35,120 --> 00:14:37,440 Speaker 7: Linda, what is Dix telling you? 315 00:14:37,440 --> 00:14:40,000 Speaker 2: What are some of the other consumer hardlines companies telling 316 00:14:40,040 --> 00:14:42,440 Speaker 2: you about the consumer right now? 317 00:14:44,120 --> 00:14:47,000 Speaker 9: So Dix is also unique in that they typically cater 318 00:14:47,160 --> 00:14:50,280 Speaker 9: to a higher income consumer, so you know, they have 319 00:14:50,400 --> 00:14:56,200 Speaker 9: seen resilient demand. They have seen both ticket and transactions 320 00:14:56,240 --> 00:14:58,560 Speaker 9: continue to rise, which is rather unique. A lot of 321 00:14:58,600 --> 00:15:01,880 Speaker 9: other retailers are only seeing the transaction front rather than 322 00:15:01,920 --> 00:15:05,360 Speaker 9: the ticket front. So it tells me that the demand 323 00:15:05,400 --> 00:15:08,680 Speaker 9: from that higher income consumer you know, is steadied to strong. 324 00:15:09,360 --> 00:15:13,760 Speaker 9: We do also see that demand for new products that's 325 00:15:13,800 --> 00:15:17,560 Speaker 9: being rolled out. People are willing to pay a high 326 00:15:17,640 --> 00:15:20,400 Speaker 9: price point for that. We also see that in footwear 327 00:15:20,480 --> 00:15:23,000 Speaker 9: right like On has a very high price point they 328 00:15:23,000 --> 00:15:26,720 Speaker 9: haven't discounted. Dix is also not discounting on those premium 329 00:15:26,720 --> 00:15:30,320 Speaker 9: products and so that consumer is willing to splurge on 330 00:15:30,600 --> 00:15:32,920 Speaker 9: those items. There is a little bit more pressure on 331 00:15:32,960 --> 00:15:36,920 Speaker 9: the lower income consumer this year. I think that affects 332 00:15:36,960 --> 00:15:40,960 Speaker 9: footlocker a little bit more. But the way Dix is 333 00:15:40,960 --> 00:15:44,480 Speaker 9: approaching sort of the turnaround and offering greater discounts, it 334 00:15:44,560 --> 00:15:47,520 Speaker 9: might be an opportunity, you know, to continue to cater 335 00:15:47,600 --> 00:15:49,360 Speaker 9: to that customer this holiday season. 336 00:15:49,880 --> 00:15:52,280 Speaker 6: How are you thinking about the discretionary space. I mean, 337 00:15:52,400 --> 00:15:55,000 Speaker 6: I know Alta is reporting after the bell today. 338 00:15:55,520 --> 00:15:57,200 Speaker 4: I assume maybe the beauty space. 339 00:15:57,240 --> 00:15:58,560 Speaker 6: Can we call it discretionary? 340 00:15:59,000 --> 00:16:03,840 Speaker 9: Some people might call it A said, yeah, I would agree. 341 00:16:04,120 --> 00:16:05,440 Speaker 7: I think, you know ALTA is. 342 00:16:05,880 --> 00:16:07,840 Speaker 9: There are a lot of connections I can draw between 343 00:16:07,920 --> 00:16:11,120 Speaker 9: Alta and Dix. You know, both of them had you know, 344 00:16:11,360 --> 00:16:14,120 Speaker 9: very conservative outlooks for the back half of the year, 345 00:16:14,560 --> 00:16:17,240 Speaker 9: you know, baking in a lot of uncertainty about you know, 346 00:16:17,320 --> 00:16:20,960 Speaker 9: where demand would go. So Alta, you know, better than 347 00:16:21,000 --> 00:16:23,800 Speaker 9: expected results in the first half, very similar to Dicks. 348 00:16:24,040 --> 00:16:27,320 Speaker 9: We get third quarter results later today, but that outlook 349 00:16:27,320 --> 00:16:30,240 Speaker 9: again is very low, so there's a low bar for 350 00:16:30,280 --> 00:16:32,960 Speaker 9: them to hit, at least on the top line. And 351 00:16:33,000 --> 00:16:36,000 Speaker 9: they're coming off a two year best same store sales 352 00:16:36,040 --> 00:16:39,080 Speaker 9: comp of almost seven percent growth in the second quarter, 353 00:16:39,680 --> 00:16:42,960 Speaker 9: So I'm optimistic for some strong top line numbers there. 354 00:16:43,000 --> 00:16:45,120 Speaker 9: But I do think the number to watch for Alta 355 00:16:45,160 --> 00:16:47,640 Speaker 9: today is going to be on the profit line. They 356 00:16:47,680 --> 00:16:51,560 Speaker 9: already have some pressure on profit within reinvesting in the business, 357 00:16:51,840 --> 00:16:54,520 Speaker 9: and we've seen some of the retailer stocks even if 358 00:16:54,560 --> 00:16:57,240 Speaker 9: you know the quarter was good. If that profit line 359 00:16:57,280 --> 00:16:59,760 Speaker 9: is missing, you know, investors aren't really liking that. 360 00:17:00,920 --> 00:17:04,639 Speaker 2: Lindsay, we're not hearing a whole lot about tariffs this quarter. 361 00:17:05,480 --> 00:17:06,600 Speaker 3: What are your companies saying? 362 00:17:08,160 --> 00:17:12,160 Speaker 9: So, most of my companies have low direct exposure, meaning 363 00:17:12,160 --> 00:17:15,840 Speaker 9: they weren't directly importing a lot of goods, so the 364 00:17:16,080 --> 00:17:20,520 Speaker 9: direct impact on them is low. They're working with suppliers 365 00:17:21,080 --> 00:17:24,720 Speaker 9: and raising prices where they need to to manage that. 366 00:17:25,200 --> 00:17:27,960 Speaker 9: You know, the biggest company in MySpace that that's most 367 00:17:27,960 --> 00:17:30,800 Speaker 9: exposed would be elf Beauty, so also in the beauty space, 368 00:17:31,359 --> 00:17:33,840 Speaker 9: seventy five percent of their product, at least their namesake 369 00:17:33,920 --> 00:17:38,280 Speaker 9: product is made in China, so highly exposed there to 370 00:17:38,359 --> 00:17:41,160 Speaker 9: the China tariffs. But we'll have to wait and see 371 00:17:41,200 --> 00:17:44,160 Speaker 9: because you know, there are some legal action out there, 372 00:17:44,359 --> 00:17:48,320 Speaker 9: you know, looking to get those costs back on the 373 00:17:48,400 --> 00:17:51,639 Speaker 9: retailer side. But you're right, earnings calls have sort of 374 00:17:51,720 --> 00:17:55,440 Speaker 9: left that topic mostly out of the third quarter commentary. 375 00:17:55,880 --> 00:17:57,679 Speaker 6: What are the top major trends that you're keeping an 376 00:17:57,720 --> 00:17:59,360 Speaker 6: eye on as we head into the next year. 377 00:18:00,880 --> 00:18:03,359 Speaker 9: So I do think costs in general, you know, still 378 00:18:03,400 --> 00:18:07,000 Speaker 9: are facing some upward pressure going into next year and 379 00:18:07,119 --> 00:18:10,040 Speaker 9: discretionary as a whole. You know, demand has been quite 380 00:18:10,119 --> 00:18:13,359 Speaker 9: soft since the back half of twenty two, so you 381 00:18:13,400 --> 00:18:15,639 Speaker 9: know we're looking to see, you know, when is that 382 00:18:15,680 --> 00:18:18,200 Speaker 9: going to turn. When are we going to see stronger 383 00:18:18,440 --> 00:18:20,919 Speaker 9: discretionary demand across the board. And that will help a 384 00:18:20,960 --> 00:18:24,320 Speaker 9: lot of these, you know, more secondary retailers in the space, 385 00:18:24,480 --> 00:18:27,560 Speaker 9: someone like an academy who's sort of struggling to see growth. 386 00:18:28,600 --> 00:18:30,679 Speaker 9: We can see a lot stronger of a year, you know, 387 00:18:30,720 --> 00:18:32,679 Speaker 9: with a pickup in that discretionary spend. 388 00:18:32,960 --> 00:18:35,320 Speaker 2: All right, Lindsay, thanks so much, appreciate it. Lindsay Dutch 389 00:18:35,840 --> 00:18:39,400 Speaker 2: Consumer Hardlines. She's a senior analyst at Bloomberg Intelligence down 390 00:18:39,440 --> 00:18:42,160 Speaker 2: there in our Princeton office talking to us about Dick 391 00:18:42,200 --> 00:18:44,320 Speaker 2: Sporting Goods has some pretty decent numbers. 392 00:18:44,720 --> 00:18:47,800 Speaker 7: Stay with us. More from Bloomberg Intelligence coming up after this. 393 00:18:51,480 --> 00:18:55,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 394 00:18:55,240 --> 00:18:58,360 Speaker 1: weekdays at ten am easterne on Apple, Cocklay and Android 395 00:18:58,359 --> 00:19:01,800 Speaker 1: Auto with the Bloomberg Business Listen on demand wherever you 396 00:19:01,840 --> 00:19:05,280 Speaker 1: get your podcasts, or watch us live on YouTube. 397 00:19:06,000 --> 00:19:09,320 Speaker 2: Well, there's a lot going on in the world of media. 398 00:19:09,400 --> 00:19:11,119 Speaker 2: I mean, we're waiting for a big m and a 399 00:19:11,280 --> 00:19:14,840 Speaker 2: trade to happen. We've also got a lot of streaming 400 00:19:15,320 --> 00:19:20,119 Speaker 2: services jocking for competitive position relative to Netflix. We've got 401 00:19:20,240 --> 00:19:22,920 Speaker 2: Ai impacting advertising, a lot going on in there. So 402 00:19:22,960 --> 00:19:24,800 Speaker 2: let's check with somebody who does this stuff for living. 403 00:19:25,040 --> 00:19:28,040 Speaker 2: Mark Douglas, President and CEO of Mountain. He's zooming in 404 00:19:28,240 --> 00:19:31,640 Speaker 2: from one of my favorite towns in this country, San Antonio, Texas, 405 00:19:32,280 --> 00:19:35,360 Speaker 2: home of my former biggest client, Clear Channel Communications. 406 00:19:36,359 --> 00:19:38,080 Speaker 3: That was a good company back back in the day. 407 00:19:38,320 --> 00:19:42,240 Speaker 2: Mark, how do you think you talked a lot of advertisers, 408 00:19:42,240 --> 00:19:44,080 Speaker 2: You talked a lot of agencies, You talked to a 409 00:19:44,080 --> 00:19:46,119 Speaker 2: lot of folks in the media business. How do you 410 00:19:46,160 --> 00:19:48,919 Speaker 2: think this Warner Brothers Discovery thing is going to go down? 411 00:19:49,000 --> 00:19:51,040 Speaker 2: Do you think anybody's got the inner track here? 412 00:19:52,560 --> 00:19:55,560 Speaker 10: Well, I mean we're literal word on the street is 413 00:19:55,640 --> 00:19:59,320 Speaker 10: Netflix kind of has the inside track. But it's some 414 00:19:59,400 --> 00:20:02,760 Speaker 10: pretty serious bidders, you know, kind of the Ellison family 415 00:20:02,800 --> 00:20:06,760 Speaker 10: who I us work for, Larry Ellison, Netflix. I mean 416 00:20:06,760 --> 00:20:09,080 Speaker 10: a lot of people with resources and who seem to 417 00:20:09,119 --> 00:20:12,440 Speaker 10: have a lot of vision and really are in building modes. 418 00:20:12,480 --> 00:20:15,760 Speaker 10: So I think it's like exciting times watching this go down. 419 00:20:16,800 --> 00:20:19,440 Speaker 6: I mean, as we're thinking about this potential deal. If 420 00:20:19,520 --> 00:20:22,560 Speaker 6: Netflix were to actually come out on the winning end, 421 00:20:23,240 --> 00:20:26,280 Speaker 6: what does this mean potentially about antitrust concerns. Have you 422 00:20:26,320 --> 00:20:27,760 Speaker 6: been hearing any conversation about that. 423 00:20:29,080 --> 00:20:32,040 Speaker 10: I don't think so. I mean, there are somewhat around 424 00:20:32,040 --> 00:20:35,399 Speaker 10: two hundred streaming networks, almost all of whom are billion 425 00:20:35,440 --> 00:20:39,480 Speaker 10: dollar companies. I think it's pretty hard even to look 426 00:20:39,520 --> 00:20:42,760 Speaker 10: at this from a trust perspective, even if it's two 427 00:20:42,800 --> 00:20:47,000 Speaker 10: of the largest. I think the library that and honestly, 428 00:20:47,320 --> 00:20:50,040 Speaker 10: you know, some of those companies are hurting, and so 429 00:20:50,760 --> 00:20:53,680 Speaker 10: you know, having some consolidation I think is a healthy thing. 430 00:20:53,920 --> 00:20:58,440 Speaker 10: And Warner Brothers Discovery, I think it's just a fantastic asset. 431 00:20:58,840 --> 00:21:03,199 Speaker 10: I think in terms of acquisitions or mergers in the 432 00:21:03,320 --> 00:21:06,399 Speaker 10: media space, I think it's kind of being number one 433 00:21:06,440 --> 00:21:09,080 Speaker 10: our list. I think the way people are responding to 434 00:21:09,119 --> 00:21:11,040 Speaker 10: the opportunity is kind of validating that. 435 00:21:11,800 --> 00:21:15,560 Speaker 2: Yeah, with Terry Quadra back of Salmas Smith Brothers, Salmas 436 00:21:15,600 --> 00:21:17,280 Speaker 2: Smith Barney, he was the first one to treade this 437 00:21:17,359 --> 00:21:20,480 Speaker 2: asset when he represented AOL buying Time Warner back in 438 00:21:20,480 --> 00:21:22,040 Speaker 2: the day. So this is not the first go round 439 00:21:22,119 --> 00:21:23,520 Speaker 2: for these Time Warner people. 440 00:21:24,200 --> 00:21:26,960 Speaker 10: And look and look at the program they have Harry Potter, 441 00:21:27,160 --> 00:21:30,399 Speaker 10: Game of Thrones, White Loaded. I mean, it's it's in 442 00:21:30,440 --> 00:21:33,400 Speaker 10: a lot of ways. HBO was kind of the original Netflix. 443 00:21:33,480 --> 00:21:36,560 Speaker 10: You know, it wasn't obviously on net, but it had 444 00:21:36,680 --> 00:21:40,560 Speaker 10: like this incredible original content, which it continues to still 445 00:21:40,600 --> 00:21:44,199 Speaker 10: have along with just this broad library of content and 446 00:21:44,200 --> 00:21:47,359 Speaker 10: we all watched it on cable. Netflix kind of brought 447 00:21:47,440 --> 00:21:51,040 Speaker 10: that formula to the Internet and obviously it's you know, 448 00:21:51,160 --> 00:21:54,120 Speaker 10: kind of been become this massive company as a result 449 00:21:54,119 --> 00:21:56,480 Speaker 10: of that. But I think that's why that library of 450 00:21:56,560 --> 00:21:58,840 Speaker 10: content and that ability to kind of keep doing it. 451 00:21:58,960 --> 00:22:03,080 Speaker 10: Like they haven't really lost meaning Warner Brothers, Discovery, I 452 00:22:03,119 --> 00:22:06,760 Speaker 10: haven't really lost their mojo in terms of creating content 453 00:22:06,880 --> 00:22:10,800 Speaker 10: like that. And I think Discovery is under underappreciated in 454 00:22:10,920 --> 00:22:14,080 Speaker 10: terms of the value you know that that it brings. 455 00:22:14,080 --> 00:22:18,920 Speaker 10: Shark Yeah, Shark Week and kind of like like documentary 456 00:22:19,200 --> 00:22:23,320 Speaker 10: style and and they turned kind of showing and they 457 00:22:23,359 --> 00:22:27,640 Speaker 10: turned that also into like reality TV with with what's 458 00:22:27,640 --> 00:22:28,720 Speaker 10: the show up in Alaska? 459 00:22:28,800 --> 00:22:34,080 Speaker 7: The fishing shows. Yeah, I mean it's a lot to watch. 460 00:22:34,280 --> 00:22:36,200 Speaker 10: It's a lot to watch, and I think that's why 461 00:22:36,240 --> 00:22:37,240 Speaker 10: people want the essence. 462 00:22:37,960 --> 00:22:39,440 Speaker 6: I've forgotten about Shark Week. 463 00:22:39,560 --> 00:22:40,960 Speaker 3: Yes, that's a big. 464 00:22:42,840 --> 00:22:46,520 Speaker 10: Just imagine any of these players, especially on Netflix, who 465 00:22:46,520 --> 00:22:49,640 Speaker 10: has you know, the resource to do it, bringing back 466 00:22:49,680 --> 00:22:52,080 Speaker 10: Game of Thrones, bringing back a lot of program I 467 00:22:52,080 --> 00:22:54,440 Speaker 10: think it's still going to play really, really well, and 468 00:22:54,440 --> 00:22:58,360 Speaker 10: and it might also play really well outside the United States, 469 00:22:58,400 --> 00:23:00,320 Speaker 10: so you know where a lot of these company need 470 00:23:00,359 --> 00:23:00,960 Speaker 10: to expand to. 471 00:23:01,440 --> 00:23:05,040 Speaker 6: So we talked about Netflix, what about Paramount's guidance. How 472 00:23:05,040 --> 00:23:08,000 Speaker 6: big of a deal could this be for them? 473 00:23:08,359 --> 00:23:11,560 Speaker 10: I think it makes a lot of sense. I mean, 474 00:23:11,560 --> 00:23:15,719 Speaker 10: the Paramount is a good asset. I think this is 475 00:23:16,000 --> 00:23:19,080 Speaker 10: kind of meaning there's a lot of programming there and 476 00:23:19,080 --> 00:23:21,919 Speaker 10: obviously they pick up CBS and things like that. But 477 00:23:22,200 --> 00:23:26,840 Speaker 10: adding Warner Brothers Discovery, I kind of think puts them 478 00:23:26,880 --> 00:23:30,239 Speaker 10: in a much stronger position to challenge a Netflix and 479 00:23:30,320 --> 00:23:33,000 Speaker 10: challenge a Disney. And that may be one of the 480 00:23:33,040 --> 00:23:36,000 Speaker 10: reasons Netflix is interested is more is somewhat as a 481 00:23:36,280 --> 00:23:39,200 Speaker 10: you know, kind of to hold their ground, hold their 482 00:23:39,240 --> 00:23:43,360 Speaker 10: turf by not allowing someone to put together a library 483 00:23:43,440 --> 00:23:47,520 Speaker 10: of content that is put you know, potentially as in 484 00:23:47,600 --> 00:23:50,159 Speaker 10: the range or strength as theirs is, so that you know, 485 00:23:50,200 --> 00:23:52,440 Speaker 10: this could be as much of a defensive move as 486 00:23:52,720 --> 00:23:54,520 Speaker 10: a defensive move, but I think it makes a lot 487 00:23:54,560 --> 00:23:57,760 Speaker 10: of sense for Paramoun. I mean, once they committed to 488 00:23:57,760 --> 00:24:02,080 Speaker 10: to getting Paramount, I think, you know, the acquisitions can't stop. 489 00:24:02,160 --> 00:24:05,960 Speaker 10: They have to kind of double down. And so you know, 490 00:24:06,040 --> 00:24:07,600 Speaker 10: we'll see how this plays out. 491 00:24:07,960 --> 00:24:09,280 Speaker 3: Mark for twenty twenty six. 492 00:24:09,280 --> 00:24:10,920 Speaker 2: In the streaming business, you mentioned there's you know, a 493 00:24:10,960 --> 00:24:12,440 Speaker 2: couple hundred streamers out there. 494 00:24:13,040 --> 00:24:16,080 Speaker 7: Are there too many? Does there need to be consolidation 495 00:24:16,520 --> 00:24:18,199 Speaker 7: or bundling or how do. 496 00:24:18,200 --> 00:24:20,600 Speaker 3: You think the streaming landscape is going to evolve mature? 497 00:24:21,440 --> 00:24:23,920 Speaker 10: Yeah, I mean it has to consolidate. I've always thought, 498 00:24:24,160 --> 00:24:25,720 Speaker 10: I mean kind of one of the things I've always 499 00:24:25,760 --> 00:24:28,600 Speaker 10: said on this topic is we can play a game. 500 00:24:28,680 --> 00:24:31,400 Speaker 10: If I name a streaming network and you can't tell 501 00:24:31,440 --> 00:24:35,399 Speaker 10: me immediately why why you will watch it, then it 502 00:24:35,560 --> 00:24:40,199 Speaker 10: probably should not exist in a network. And so and 503 00:24:40,280 --> 00:24:43,000 Speaker 10: we played that game. You know, if I say Discovery, 504 00:24:43,040 --> 00:24:45,920 Speaker 10: you would say documentary. If I say Netflix, you would say, 505 00:24:45,960 --> 00:24:48,679 Speaker 10: you know, new shows every Tuesday, and there'd be a 506 00:24:49,040 --> 00:24:51,200 Speaker 10: range of things you want to watch. If I say 507 00:24:51,440 --> 00:24:53,920 Speaker 10: ESPN and you'd say sports, and so you know, when 508 00:24:53,920 --> 00:24:56,000 Speaker 10: you get into sum of the names, you can clearly 509 00:24:56,040 --> 00:24:58,840 Speaker 10: say that then I think there has to be a 510 00:24:58,880 --> 00:25:02,840 Speaker 10: consolidation both in terms of the health of those businesses 511 00:25:02,880 --> 00:25:05,760 Speaker 10: as well as just what consumers are willing to spend 512 00:25:06,200 --> 00:25:08,920 Speaker 10: and tolerate. We've gotten to this point where pre much, 513 00:25:09,040 --> 00:25:10,720 Speaker 10: you know, we went back to the future in terms 514 00:25:10,760 --> 00:25:13,200 Speaker 10: of ad supporting content. At this point, I think every 515 00:25:13,200 --> 00:25:17,080 Speaker 10: streaming network except for Apple TV Plus now has adds, 516 00:25:17,119 --> 00:25:19,920 Speaker 10: so you can you can do an ad model and 517 00:25:20,760 --> 00:25:23,080 Speaker 10: do well. You're not as relying on subscriptions, but you 518 00:25:23,080 --> 00:25:25,280 Speaker 10: still have to have a reason for people to come 519 00:25:25,320 --> 00:25:26,560 Speaker 10: and watch you, and that's the key. 520 00:25:27,440 --> 00:25:29,959 Speaker 6: What are your major themes for twenty twenty six as 521 00:25:29,960 --> 00:25:31,240 Speaker 6: you're looking at the media landscape? 522 00:25:32,520 --> 00:25:35,800 Speaker 10: The I mean, this is the year where like it's 523 00:25:35,920 --> 00:25:39,040 Speaker 10: kind of the official death of cable in a sense. 524 00:25:39,080 --> 00:25:42,320 Speaker 10: I mean, obviously it's a legacy business, but like there's 525 00:25:42,400 --> 00:25:46,960 Speaker 10: nothing like live sports is moving on the streaming as 526 00:25:47,080 --> 00:25:50,280 Speaker 10: fast as it possibly can. It's a topic of the day, 527 00:25:50,280 --> 00:25:53,680 Speaker 10: it's what everyone wants. We got the I think Netflix 528 00:25:54,200 --> 00:25:57,040 Speaker 10: continues to expand in terms of their ad supported business, 529 00:25:57,400 --> 00:26:01,000 Speaker 10: which is great for advertisers and great for consumers. But 530 00:26:01,240 --> 00:26:05,520 Speaker 10: it's kind of that, like all content consumption is streaming. 531 00:26:06,040 --> 00:26:08,840 Speaker 10: I think with the live live sports in particular. 532 00:26:08,960 --> 00:26:09,600 Speaker 3: Yeah, and. 533 00:26:11,080 --> 00:26:13,560 Speaker 10: One of the things that's really interesting about streaming is 534 00:26:13,560 --> 00:26:17,159 Speaker 10: you can turn content that's not the NBA and not 535 00:26:17,320 --> 00:26:20,440 Speaker 10: the NFL into content consumers want to watch and. 536 00:26:20,480 --> 00:26:23,160 Speaker 2: Just work to the NFL reopens its contract with its 537 00:26:23,200 --> 00:26:24,840 Speaker 2: media partners, that's gonna be seismic. 538 00:26:24,880 --> 00:26:26,800 Speaker 7: Mark Douglas, President CEO of Mountain. 539 00:26:28,359 --> 00:26:33,040 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 540 00:26:33,240 --> 00:26:37,200 Speaker 1: and anywhere else you get your podcasts. 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