1 00:00:02,720 --> 00:00:10,600 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, Cocklay 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 --> 00:00:23,560 Speaker 1: or watch us live on YouTube. 6 00:00:24,320 --> 00:00:26,600 Speaker 2: The big earning story of the day is in Vidia 7 00:00:26,640 --> 00:00:29,720 Speaker 2: put out a really, really solid number but being caught 8 00:00:29,800 --> 00:00:34,320 Speaker 2: up in the downdraft. Continued downdraft selling of technology, in 9 00:00:34,400 --> 00:00:41,639 Speaker 2: particular software kind of AI themed names more specifically Kunjan Sobani. 10 00:00:41,960 --> 00:00:44,280 Speaker 2: He is the senior analyst covering the semiconductor companies for 11 00:00:44,280 --> 00:00:46,920 Speaker 2: Bloomberg Intelligence. He's based out in our San Francisco office. 12 00:00:47,560 --> 00:00:49,400 Speaker 2: I'm just reading your research note here. Give us a 13 00:00:49,479 --> 00:00:51,880 Speaker 2: sense of how you think the quarter went for Nvidia. 14 00:00:53,280 --> 00:00:56,520 Speaker 3: Yeah, this was one of the more stronger quarter showings 15 00:00:56,600 --> 00:00:59,279 Speaker 3: if you look at the last four quarters. The one 16 00:00:59,360 --> 00:01:02,160 Speaker 3: Q guide is the next quarter guide blew off most 17 00:01:02,240 --> 00:01:05,360 Speaker 3: of the high bar of the byside bogies that we 18 00:01:05,600 --> 00:01:09,720 Speaker 3: think the buyside was at. There was really nothing negative 19 00:01:09,959 --> 00:01:12,759 Speaker 3: to find, even if we go through a fine core 20 00:01:13,040 --> 00:01:15,480 Speaker 3: in this quarter and print, there were a couple of 21 00:01:15,560 --> 00:01:19,000 Speaker 3: positives that we really liked. One is the revenues from 22 00:01:19,080 --> 00:01:22,960 Speaker 3: their customers outside of the top five CSP and hyper 23 00:01:22,959 --> 00:01:27,520 Speaker 3: scales grew actually faster than those five customers. When we 24 00:01:27,560 --> 00:01:30,760 Speaker 3: look at the whole PHISS last fiscal year, that group 25 00:01:30,920 --> 00:01:33,920 Speaker 3: grew almost close to the top five. So all the 26 00:01:33,959 --> 00:01:36,080 Speaker 3: focus always goes to the top five, but this really 27 00:01:36,120 --> 00:01:40,480 Speaker 3: speaks to the breadth and the quality and the diversification 28 00:01:40,520 --> 00:01:43,200 Speaker 3: of demand for n media products, which is a good 29 00:01:43,400 --> 00:01:47,319 Speaker 3: robust side. Second thing we really liked is networking. So 30 00:01:47,360 --> 00:01:49,840 Speaker 3: if we look at the four Q numbers, majority of 31 00:01:49,880 --> 00:01:53,120 Speaker 3: the beat in data center was coming from networking. Their 32 00:01:53,160 --> 00:01:58,920 Speaker 3: networking attached continues to get stronger and honestly surpassing expectations 33 00:01:58,920 --> 00:02:01,600 Speaker 3: of what investors have or the networking division. And the 34 00:02:01,640 --> 00:02:04,360 Speaker 3: final thing we really liked was the gross margins. We 35 00:02:04,440 --> 00:02:07,360 Speaker 3: all are aware of the rising memory cost, the rising 36 00:02:07,400 --> 00:02:11,040 Speaker 3: way for the rising substrate cost. Despite all of these costs, 37 00:02:11,200 --> 00:02:14,160 Speaker 3: which the company does not pass through to its customers, 38 00:02:14,160 --> 00:02:16,280 Speaker 3: so sort of in a way eats that cost, they're 39 00:02:16,280 --> 00:02:20,280 Speaker 3: able to maintain this ridiculously high software level gross margins 40 00:02:20,320 --> 00:02:21,400 Speaker 3: for a hardware company. 41 00:02:21,760 --> 00:02:25,040 Speaker 4: What about growth and other segments like automotive or edge computing? 42 00:02:25,080 --> 00:02:27,920 Speaker 4: How important are those when it comes to the company's 43 00:02:28,280 --> 00:02:29,840 Speaker 4: long term earnings profile. 44 00:02:31,360 --> 00:02:33,280 Speaker 3: I don't think right now anyonus focus on those when 45 00:02:33,280 --> 00:02:35,480 Speaker 3: you look at the scale, I mean, majority of the 46 00:02:35,520 --> 00:02:38,160 Speaker 3: revenues coming from the data center, right, so they don't 47 00:02:38,200 --> 00:02:42,160 Speaker 3: really move a needle a lot. Automotive, however, will become 48 00:02:42,320 --> 00:02:44,640 Speaker 3: very critical when you think about the next three to 49 00:02:44,720 --> 00:02:47,560 Speaker 3: five years, because once we get to the stage where 50 00:02:47,639 --> 00:02:51,359 Speaker 3: we have a massive deployment of L three plus L 51 00:02:51,440 --> 00:02:55,560 Speaker 3: four plus automobiles on the road, not just in the US, 52 00:02:55,560 --> 00:02:58,040 Speaker 3: but also in China, this is where you know, this 53 00:02:58,120 --> 00:03:01,480 Speaker 3: could bring in tens of billions of dollars of revenue 54 00:03:01,480 --> 00:03:02,320 Speaker 3: for for Nvidia. 55 00:03:02,720 --> 00:03:05,760 Speaker 2: So what are we How should we think about China here? 56 00:03:05,760 --> 00:03:07,720 Speaker 2: Because I can't keep track. I don't know what chip's 57 00:03:08,120 --> 00:03:10,400 Speaker 2: allowed in, not allowed in, how long it will be 58 00:03:10,440 --> 00:03:12,960 Speaker 2: allowed in. Is the company just saying we're just going 59 00:03:13,000 --> 00:03:15,800 Speaker 2: to step back until we get greater clarity. 60 00:03:15,919 --> 00:03:17,960 Speaker 3: Yeah, And that's not just with Nvidia, it's with all 61 00:03:18,000 --> 00:03:20,560 Speaker 3: a chip makers. Right now, I mean for the last 62 00:03:20,639 --> 00:03:24,160 Speaker 3: I guess twelve two to three quarters, nobody's been able 63 00:03:24,200 --> 00:03:26,960 Speaker 3: to ship to China right, so on there's two factors, 64 00:03:27,200 --> 00:03:29,680 Speaker 3: A US allowing them to chip to China and then 65 00:03:29,720 --> 00:03:33,200 Speaker 3: also once that happens, will China accept these chips or not? 66 00:03:33,320 --> 00:03:37,040 Speaker 3: So until that issue is completely resolved, the street has 67 00:03:37,080 --> 00:03:39,800 Speaker 3: taken out numbers. Companies have taken out those numbers. They're 68 00:03:39,840 --> 00:03:42,320 Speaker 3: just not talking and you know, not thinking about that 69 00:03:42,400 --> 00:03:42,840 Speaker 3: right now. 70 00:03:43,160 --> 00:03:46,560 Speaker 4: So it's been a blowout quarter. Any risk that investors 71 00:03:46,600 --> 00:03:49,240 Speaker 4: should be watching that might effect grows and margins in 72 00:03:49,280 --> 00:03:51,080 Speaker 4: the next quarters. 73 00:03:51,640 --> 00:03:55,320 Speaker 3: Nothing specific to the company. What has really been hampering 74 00:03:55,320 --> 00:03:58,200 Speaker 3: the sentiment is this overall AI for TIG. I mean, look, 75 00:03:58,280 --> 00:04:01,760 Speaker 3: on one hand, the top customers who are announcing these 76 00:04:01,800 --> 00:04:06,280 Speaker 3: big capex raises are getting punished because they're spending too much, right, 77 00:04:06,320 --> 00:04:08,280 Speaker 3: So you can't have it both ways. Where the same 78 00:04:08,360 --> 00:04:11,000 Speaker 3: investors who don't like this spending too much from the 79 00:04:11,040 --> 00:04:14,320 Speaker 3: customers and Vidia is getting rewarded because of high capex 80 00:04:14,360 --> 00:04:16,640 Speaker 3: spend will also keep on getting rewarded. So there is 81 00:04:16,680 --> 00:04:19,440 Speaker 3: this AI fatigue that how long can you keep on 82 00:04:19,600 --> 00:04:22,440 Speaker 3: increasing this spend and what happens next year? Every year 83 00:04:22,440 --> 00:04:25,080 Speaker 3: when these numbers go up, a question comes about, well 84 00:04:25,160 --> 00:04:27,760 Speaker 3: can you keep going making them go up again next year? No? 85 00:04:27,760 --> 00:04:31,040 Speaker 2: No, I'm looking at the chip stocks, Kunjohn, your list 86 00:04:31,080 --> 00:04:34,040 Speaker 2: is looking really good here Advanced micro Devices and Intel 87 00:04:34,040 --> 00:04:37,080 Speaker 2: both up ninety percent and Vidia forty percent all on 88 00:04:37,160 --> 00:04:42,680 Speaker 2: trailing twelve month basis. Are tech investors software investors? Are 89 00:04:42,640 --> 00:04:43,919 Speaker 2: they hining out in you? Chip names? 90 00:04:45,360 --> 00:04:49,000 Speaker 3: Well, chip names definitely are doing better from a sector 91 00:04:49,360 --> 00:04:52,520 Speaker 3: perspective overall in the tech and for the obvious reasons. 92 00:04:52,560 --> 00:04:55,520 Speaker 3: When you now look at the EPs growth prospects, the 93 00:04:55,640 --> 00:04:59,440 Speaker 3: revenue growth prospects, right, A significant big portion of now 94 00:04:59,680 --> 00:05:01,920 Speaker 3: that in the next two to three years is definitely 95 00:05:01,920 --> 00:05:05,800 Speaker 3: coming to the chip name. So fundamentally a good spot 96 00:05:05,839 --> 00:05:06,200 Speaker 3: to be in. 97 00:05:06,279 --> 00:05:11,159 Speaker 2: I would say, what's the uh, what's the the next 98 00:05:11,360 --> 00:05:17,160 Speaker 2: play here for the chip space? Here? Is it simply iterating, iterating, iterating, 99 00:05:17,240 --> 00:05:21,080 Speaker 2: iterating on new chips and that drives the longer term 100 00:05:21,120 --> 00:05:22,320 Speaker 2: revenue Outlook. 101 00:05:23,440 --> 00:05:26,000 Speaker 3: Yeah, exactly what you said. Look, when we think about 102 00:05:26,040 --> 00:05:29,159 Speaker 3: the markets where AI has already proliferated, which is really 103 00:05:29,240 --> 00:05:33,000 Speaker 3: data centers, is just keeping up, you know, iterating to 104 00:05:33,040 --> 00:05:35,839 Speaker 3: make the compute more efficient, so we can reach the 105 00:05:35,920 --> 00:05:38,600 Speaker 3: stage where all this AI capex spending is no longer 106 00:05:38,640 --> 00:05:41,440 Speaker 3: a concern because the customers are able to monetize from that. 107 00:05:41,760 --> 00:05:44,240 Speaker 3: The second big wave will come from markets where AI 108 00:05:44,320 --> 00:05:47,000 Speaker 3: has not yet prolifitted. So think of your edge device, 109 00:05:47,080 --> 00:05:51,200 Speaker 3: your smartphones, your PCs, think of your automotive vehicles. Right, 110 00:05:51,240 --> 00:05:54,120 Speaker 3: So this will be the new vectors of secular growth 111 00:05:54,120 --> 00:05:57,120 Speaker 3: for the chip names where if AI proliferates faster here 112 00:05:57,360 --> 00:05:59,440 Speaker 3: they can start collecting a lot more revenue. 113 00:05:59,800 --> 00:06:01,960 Speaker 4: So just very quickly. How confident are you that this 114 00:06:02,040 --> 00:06:05,039 Speaker 4: demand will remain strong so at twenty twenty six and beyond. 115 00:06:06,800 --> 00:06:10,200 Speaker 3: So from the visibility that the Nvidia and its peers 116 00:06:10,200 --> 00:06:13,080 Speaker 3: have announced, it definitely looks like for the chip guys 117 00:06:13,120 --> 00:06:16,440 Speaker 3: at least until first half twenty twenty seven, is sort 118 00:06:16,480 --> 00:06:19,720 Speaker 3: of locked in and pretty safe unless something major macro 119 00:06:19,960 --> 00:06:23,920 Speaker 3: or geopolitical event doesn't happen beyond you know, starting second 120 00:06:23,960 --> 00:06:26,159 Speaker 3: half twenty seven. We don't have a lot of risk 121 00:06:26,240 --> 00:06:28,719 Speaker 3: modeled in, but that is something we cannot say, but 122 00:06:29,200 --> 00:06:30,880 Speaker 3: for sure that it's locked in already. 123 00:06:31,760 --> 00:06:34,920 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 124 00:06:38,760 --> 00:06:42,440 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 125 00:06:42,520 --> 00:06:45,640 Speaker 1: weekdays at ten am Eastern on Apple Cocklay and Android 126 00:06:45,640 --> 00:06:48,960 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 127 00:06:49,000 --> 00:06:52,120 Speaker 1: you get your podcasts, or watch us live on YouTube. 128 00:06:53,320 --> 00:06:55,839 Speaker 2: We are fortunate here at Bloomberg to speak. Some of 129 00:06:55,839 --> 00:06:58,680 Speaker 2: the really the smartest people out there in the marketplace 130 00:06:58,680 --> 00:07:00,840 Speaker 2: are our next guest certainly qualify. It's been so kind 131 00:07:00,839 --> 00:07:03,520 Speaker 2: to give us time over the years to help us 132 00:07:03,560 --> 00:07:05,080 Speaker 2: get up. You know what's going on in the world 133 00:07:05,120 --> 00:07:09,400 Speaker 2: of technology, and that's Genemunster, Managing partner for Deepwater Asset Management. Gene, 134 00:07:09,440 --> 00:07:11,360 Speaker 2: let's just start with I guess the topic of the day, 135 00:07:11,360 --> 00:07:13,760 Speaker 2: which is in Vidia. You know, I know you tech 136 00:07:13,760 --> 00:07:16,240 Speaker 2: guys look for the beaten raised type of thing, and 137 00:07:16,280 --> 00:07:18,280 Speaker 2: I think that's what we got here. What do you 138 00:07:18,280 --> 00:07:21,239 Speaker 2: make in Vidia's report, Gene. 139 00:07:21,960 --> 00:07:25,480 Speaker 5: Well, there's like three orbits here, Paul. There's the reaction 140 00:07:25,600 --> 00:07:29,080 Speaker 5: the report, the reaction to the report, there's the fundamentals. 141 00:07:29,120 --> 00:07:31,120 Speaker 5: Then there's kind of the AI trade. So there are 142 00:07:31,320 --> 00:07:35,160 Speaker 5: three different orbits. And maybe specifically on the stock being down, 143 00:07:35,200 --> 00:07:39,640 Speaker 5: we'll call it five percent today on what objectively was 144 00:07:39,760 --> 00:07:42,040 Speaker 5: better than the whisper numbers, and some want to zero 145 00:07:42,120 --> 00:07:45,360 Speaker 5: in on what the key whisper was. That was revenue 146 00:07:45,360 --> 00:07:48,080 Speaker 5: growth for the April quarter. The street was in print 147 00:07:48,160 --> 00:07:51,640 Speaker 5: at sixty four percent. The whisper was that they were 148 00:07:51,680 --> 00:07:54,880 Speaker 5: going to guide to around seventy percent, and they guided 149 00:07:55,000 --> 00:07:58,160 Speaker 5: to seventy nine percent. It's the high end of their range. 150 00:07:58,200 --> 00:08:01,000 Speaker 5: And so if you put the together, that's kind of 151 00:08:01,000 --> 00:08:03,920 Speaker 5: why you got that first like up three percent kind 152 00:08:03,960 --> 00:08:07,400 Speaker 5: of reaction when the when initially the numbers hit, the 153 00:08:07,440 --> 00:08:10,920 Speaker 5: guidance hit, and so, like you said, it's about beating rays, 154 00:08:11,000 --> 00:08:14,880 Speaker 5: beating the whispers specifically. So how do you make sense 155 00:08:14,920 --> 00:08:17,280 Speaker 5: if that is in fact the case? How do you 156 00:08:17,320 --> 00:08:19,920 Speaker 5: make sense of what the stock is doing? And I 157 00:08:19,920 --> 00:08:22,840 Speaker 5: think part of it comes down to there is this 158 00:08:23,000 --> 00:08:26,840 Speaker 5: broader narrative just around this company is just getting too big. 159 00:08:27,480 --> 00:08:30,440 Speaker 5: There is also the piece that some of this, like 160 00:08:30,520 --> 00:08:32,800 Speaker 5: I mentioned, is that the whisper number was higher than 161 00:08:32,840 --> 00:08:37,440 Speaker 5: the imprint numbers. Shares of Nvidia since we saw Google 162 00:08:37,440 --> 00:08:42,080 Speaker 5: and Amazon ramp up their capex commentary three weeks ago, 163 00:08:42,240 --> 00:08:45,160 Speaker 5: Shares Nvidia, even with the sell off today are up 164 00:08:45,200 --> 00:08:48,720 Speaker 5: about eight percent now. That compares to the Nasdaq which 165 00:08:48,760 --> 00:08:52,440 Speaker 5: is up about two percent. So essentially some of this 166 00:08:52,720 --> 00:08:54,640 Speaker 5: was priced in even though they beat the numbers. I 167 00:08:54,640 --> 00:08:57,400 Speaker 5: think that's really some important context. But if I may 168 00:08:57,480 --> 00:09:00,280 Speaker 5: just kind of even zoom back even further and look 169 00:09:00,280 --> 00:09:04,480 Speaker 5: at the broader narrative around in Nvidia is since October 170 00:09:04,520 --> 00:09:08,640 Speaker 5: twenty eighth, that's when Meta shares got hit because of 171 00:09:08,679 --> 00:09:11,840 Speaker 5: their big CAPPAX guide and kind of change the narrative 172 00:09:11,840 --> 00:09:15,160 Speaker 5: in terms of how investors think about AI infrastructure since 173 00:09:15,240 --> 00:09:17,840 Speaker 5: October twenty eighth, and the NASAQ is down about four 174 00:09:17,920 --> 00:09:21,560 Speaker 5: percent and shares of Nvidia are down ten percent, even 175 00:09:21,559 --> 00:09:24,439 Speaker 5: though the numbers have gone up, call it thirty percent 176 00:09:24,559 --> 00:09:27,559 Speaker 5: since then. And so what you're really seeing here is 177 00:09:27,640 --> 00:09:34,360 Speaker 5: this continued skepticism that investors have specifically about the sustainability 178 00:09:34,360 --> 00:09:37,600 Speaker 5: of the trade. And I don't think it's any commentary 179 00:09:37,600 --> 00:09:40,040 Speaker 5: about the strength of the fundamentals, but I think that's 180 00:09:40,040 --> 00:09:42,760 Speaker 5: what we're seeing with the share price reaction this morning. 181 00:09:43,080 --> 00:09:45,319 Speaker 4: I think it's also because Nvidia has a huge mote 182 00:09:45,320 --> 00:09:47,600 Speaker 4: in training because if it's GPU, but when it comes 183 00:09:47,640 --> 00:09:50,160 Speaker 4: to inference, not so much. And I feel like that's 184 00:09:50,160 --> 00:09:53,080 Speaker 4: where AMD is a competitor and Broadcom with its custom chips, 185 00:09:53,080 --> 00:09:55,640 Speaker 4: and maybe that's where the disappointment came from, at least 186 00:09:55,640 --> 00:09:58,600 Speaker 4: when we're seeing this morning, well you. 187 00:09:58,640 --> 00:10:01,520 Speaker 5: Know this that all plays in to this longer narrative, 188 00:10:01,520 --> 00:10:03,640 Speaker 5: which had less to do about what was said on 189 00:10:03,679 --> 00:10:06,760 Speaker 5: the call last night and so what you're tapping into 190 00:10:06,960 --> 00:10:09,360 Speaker 5: is as inference, and I just want to quickly frame 191 00:10:09,400 --> 00:10:12,880 Speaker 5: in inference for those listeners who may not be as 192 00:10:12,880 --> 00:10:15,160 Speaker 5: familiar with that. A lot of the AI infrastructure spend, 193 00:10:15,200 --> 00:10:18,520 Speaker 5: of course, has been related to training. The inference piece 194 00:10:18,600 --> 00:10:21,240 Speaker 5: is that's really the substance of what AI is. Think 195 00:10:21,240 --> 00:10:26,720 Speaker 5: of AI's inference inferences. Thinking that piece is there's debates 196 00:10:26,760 --> 00:10:30,280 Speaker 5: about what are the most what are the optimal chips, 197 00:10:30,640 --> 00:10:33,760 Speaker 5: the optimal GPUs you need for that. And my sense 198 00:10:33,840 --> 00:10:36,640 Speaker 5: is that as part of the conversation, I think in 199 00:10:36,720 --> 00:10:38,680 Speaker 5: video is going to be in a great place. I 200 00:10:38,720 --> 00:10:41,520 Speaker 5: suspect that they're going to grow and count, So I 201 00:10:41,520 --> 00:10:43,280 Speaker 5: think inference is going to be huge opportunity. I want 202 00:10:43,280 --> 00:10:45,800 Speaker 5: to just quickly frame in how big inference is that 203 00:10:45,880 --> 00:10:48,360 Speaker 5: you can have multiple winners here if you look at 204 00:10:48,480 --> 00:10:51,720 Speaker 5: the size of inference, Jensen talks about being potentially a 205 00:10:51,800 --> 00:10:55,960 Speaker 5: thousand times bigger than what traditional compute is. What we're 206 00:10:56,000 --> 00:10:59,120 Speaker 5: seeing in our own use of AI internally is we're 207 00:10:59,120 --> 00:11:02,679 Speaker 5: seeing tens of thousands of times more use of tokens 208 00:11:02,800 --> 00:11:05,920 Speaker 5: when it comes to inference. And so inference is this 209 00:11:06,080 --> 00:11:10,880 Speaker 5: scary topic because for some Nvidia investors because this competitive 210 00:11:10,960 --> 00:11:13,440 Speaker 5: dynamic comes up. Do you need less power chips? But 211 00:11:13,480 --> 00:11:15,760 Speaker 5: the reality is the amount of chips still, the amount 212 00:11:15,800 --> 00:11:18,320 Speaker 5: of AI infrastructure that's going to be needed to power 213 00:11:18,360 --> 00:11:20,959 Speaker 5: this over the next decade, I think is being grossly 214 00:11:21,040 --> 00:11:23,000 Speaker 5: underestimated by investors. 215 00:11:23,559 --> 00:11:26,480 Speaker 2: Gene, you've been covering this technology industry for decades. You've 216 00:11:26,520 --> 00:11:30,719 Speaker 2: seen everything. I want to ask you, based upon your experience, 217 00:11:31,600 --> 00:11:33,840 Speaker 2: how do you think about what's happening in the software 218 00:11:33,880 --> 00:11:36,400 Speaker 2: side of the business right now? Stock selling off, particularly 219 00:11:36,480 --> 00:11:39,840 Speaker 2: the software is a service stocks like a software Salesforce 220 00:11:39,880 --> 00:11:42,800 Speaker 2: dot Com Really under the guys that wait, AI is 221 00:11:42,800 --> 00:11:45,480 Speaker 2: going to really disrupt this software business. How do you 222 00:11:45,720 --> 00:11:47,079 Speaker 2: put that into context for people? 223 00:11:48,600 --> 00:11:52,240 Speaker 5: So I think that for those who are reading the 224 00:11:52,320 --> 00:11:55,720 Speaker 5: headlines and looking at the stock reaction to these earnings, 225 00:11:56,120 --> 00:11:58,080 Speaker 5: I think kind of the substance of what's going on 226 00:11:58,160 --> 00:12:00,800 Speaker 5: underneath the hood is being missed. It's really hard for 227 00:12:00,880 --> 00:12:04,640 Speaker 5: I think that audience to really grasp the improvement that 228 00:12:04,679 --> 00:12:07,640 Speaker 5: these models have had over the past three months. Of course, 229 00:12:07,720 --> 00:12:10,839 Speaker 5: open claw and claud code claw work are kind of 230 00:12:10,880 --> 00:12:14,640 Speaker 5: the signature products that have caused some of that breakthrough, 231 00:12:15,120 --> 00:12:17,920 Speaker 5: But that change has had what I think is going 232 00:12:18,000 --> 00:12:20,600 Speaker 5: to have a profound impact on software, and the way 233 00:12:20,640 --> 00:12:24,239 Speaker 5: we've been investing around it is we've lowered our exposure 234 00:12:24,320 --> 00:12:28,800 Speaker 5: to seat based software companies because ultimately, if this is right, 235 00:12:28,920 --> 00:12:31,320 Speaker 5: that knowledge work is going to be impacted, there will 236 00:12:31,360 --> 00:12:34,200 Speaker 5: be less seats out there. AI agents don't purchase seats, 237 00:12:34,720 --> 00:12:37,600 Speaker 5: and separately that the usage based models. So we're still 238 00:12:37,720 --> 00:12:40,840 Speaker 5: holders of companies like data Dog and Snowflake, and so 239 00:12:41,200 --> 00:12:43,320 Speaker 5: those models I think are going to do well. So, Paul, 240 00:12:43,360 --> 00:12:47,319 Speaker 5: the answer is is that software is at a profound crossroad. 241 00:12:47,440 --> 00:12:49,560 Speaker 5: And I don't think that all software has created equal 242 00:12:49,559 --> 00:12:51,920 Speaker 5: I think the usage based models, but I would say 243 00:12:51,920 --> 00:12:54,760 Speaker 5: that software needs to do something that we still haven't seen, 244 00:12:54,840 --> 00:12:57,800 Speaker 5: even with the Salesforce results last night. We need to 245 00:12:57,840 --> 00:13:01,720 Speaker 5: see these software companies stand up and basically punch back 246 00:13:01,880 --> 00:13:04,720 Speaker 5: at AI. They haven't done that. That's exactly what Google 247 00:13:04,760 --> 00:13:07,960 Speaker 5: did in the June quarter last year when they showed 248 00:13:08,000 --> 00:13:10,920 Speaker 5: that they can use generative AI to their advantage and search. 249 00:13:11,440 --> 00:13:16,760 Speaker 5: They really short circuited that negative narrative. And until software 250 00:13:16,800 --> 00:13:19,439 Speaker 5: companies can say, look at our seat growth moving higher, 251 00:13:19,440 --> 00:13:22,760 Speaker 5: look at how our RPU is per user is improving, 252 00:13:22,960 --> 00:13:26,120 Speaker 5: until they really have that flex that stand up. I 253 00:13:26,120 --> 00:13:29,520 Speaker 5: think that this narrative, this negative narrative around software is 254 00:13:29,559 --> 00:13:30,240 Speaker 5: going to persist. 255 00:13:30,800 --> 00:13:33,680 Speaker 2: Gene, Thank you so much yet again. Gene Mounster, Managing partner, 256 00:13:34,000 --> 00:13:36,520 Speaker 2: Deepwater Asset Management. He was one of the first folks 257 00:13:36,559 --> 00:13:40,240 Speaker 2: that kind of got helped me understand what AI is, 258 00:13:40,600 --> 00:13:41,760 Speaker 2: and now I kind of get a little bit of 259 00:13:41,760 --> 00:13:44,680 Speaker 2: a better understanding of what the potential threat for software 260 00:13:44,720 --> 00:13:46,560 Speaker 2: can be when you think about the seat licenses and 261 00:13:46,600 --> 00:13:50,319 Speaker 2: that could be a weakness for some of that revenue model. There. 262 00:13:51,240 --> 00:13:54,400 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 263 00:13:58,280 --> 00:14:01,640 Speaker 1: You're listening to the Bloomberg and Tellen's podcast. Catch us 264 00:14:01,720 --> 00:14:04,720 Speaker 1: Live weekdays at ten am Eastern on Apple Coarclay, and 265 00:14:04,720 --> 00:14:08,000 Speaker 1: Android Auto with the Bloomberg Business App. Listen on demand 266 00:14:08,080 --> 00:14:11,640 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 267 00:14:12,360 --> 00:14:14,599 Speaker 2: For months, we've been talking about the potential sale of 268 00:14:14,640 --> 00:14:18,760 Speaker 2: Warner Brothers Discovery, either to Netflix or to Paramount Skydance, 269 00:14:18,800 --> 00:14:20,480 Speaker 2: and we're going to get the latest on that because 270 00:14:20,480 --> 00:14:23,040 Speaker 2: there has been some movement, but these two companies actually 271 00:14:23,040 --> 00:14:26,680 Speaker 2: reported results and let's get the latest. There Etherrong Andath 272 00:14:26,720 --> 00:14:29,200 Speaker 2: and she's the media analyst of Bloomberg Intelligence. Ether will 273 00:14:29,200 --> 00:14:31,080 Speaker 2: get the deal update in a minute, but just give 274 00:14:31,160 --> 00:14:33,200 Speaker 2: us a sense of how these two companies are performing 275 00:14:33,240 --> 00:14:33,640 Speaker 2: on their own. 276 00:14:35,080 --> 00:14:37,040 Speaker 6: I mean, I think you've summed it up perfectly, Paul. 277 00:14:37,520 --> 00:14:39,560 Speaker 6: You know, you said it's a good thing that Warner 278 00:14:39,600 --> 00:14:42,120 Speaker 6: Brothers Discovery is being sold, and that's absolutely right. I mean, 279 00:14:42,160 --> 00:14:45,800 Speaker 6: you look at the TV network's division. This has been 280 00:14:45,840 --> 00:14:49,040 Speaker 6: the problematic division for all of these media companies. TV networks. 281 00:14:49,040 --> 00:14:53,840 Speaker 6: Ibada slumped something like twenty seven percent in the fourth quarter. 282 00:14:54,160 --> 00:14:56,800 Speaker 6: You look at the whole of twenty twenty five, you know, 283 00:14:56,840 --> 00:15:00,280 Speaker 6: Ibada for that segment is down twenty one percent. Writing 284 00:15:00,360 --> 00:15:01,840 Speaker 6: is on the wall. I mean, this is why this 285 00:15:01,920 --> 00:15:06,000 Speaker 6: company is up for sale. It's very clear. And you know, 286 00:15:06,280 --> 00:15:08,600 Speaker 6: I think really what everybody is going to be worried 287 00:15:08,600 --> 00:15:12,320 Speaker 6: about is what is the outlook should the spin happen, 288 00:15:12,400 --> 00:15:15,360 Speaker 6: Should Discovery Global be spun out into a separate company, 289 00:15:15,640 --> 00:15:19,000 Speaker 6: What really is the outlook for the TV network business? 290 00:15:19,920 --> 00:15:21,920 Speaker 6: And again we saw kind of very similar results with 291 00:15:22,000 --> 00:15:24,680 Speaker 6: Paramount as well. Yes, they're making, you know, the best 292 00:15:24,680 --> 00:15:27,600 Speaker 6: of what they can, but again the fundamentals themselves are 293 00:15:27,640 --> 00:15:28,200 Speaker 6: pretty weak. 294 00:15:28,280 --> 00:15:29,120 Speaker 2: Across the board. 295 00:15:29,640 --> 00:15:32,720 Speaker 4: Management also flagged the multi billion dollar efficiency program. How 296 00:15:32,720 --> 00:15:35,880 Speaker 4: should investors think about the trade offs between short term 297 00:15:35,880 --> 00:15:39,200 Speaker 4: cost and long term profitability for these initiatives. 298 00:15:39,800 --> 00:15:42,080 Speaker 6: Yeah, this is what we've always been worried about. I mean, 299 00:15:42,120 --> 00:15:44,880 Speaker 6: we've seen, you know, this story play out multiple times 300 00:15:44,920 --> 00:15:47,280 Speaker 6: Isabelle in all of these media companies, and yes, there's 301 00:15:47,320 --> 00:15:50,120 Speaker 6: always synergies and there's always efficiencies to be extracted, but 302 00:15:50,200 --> 00:15:52,640 Speaker 6: it does come at the expense of long term growth. 303 00:15:52,760 --> 00:15:55,440 Speaker 6: We've seen that with Warner Brothers Discovery. You know, they 304 00:15:55,520 --> 00:15:58,640 Speaker 6: came out with very aggressive synergy targets and yes, they 305 00:15:58,640 --> 00:16:01,200 Speaker 6: were able to deliver on a lot of those, but 306 00:16:01,320 --> 00:16:05,000 Speaker 6: then it did kind of hamper their growth prospects, especially 307 00:16:05,040 --> 00:16:07,320 Speaker 6: you know in the TV networks business, where we've seen 308 00:16:07,360 --> 00:16:12,080 Speaker 6: a significant deterioration in the fundamentals in the outlook. So 309 00:16:12,160 --> 00:16:14,400 Speaker 6: that is always there's you know, it's a very very 310 00:16:14,440 --> 00:16:17,800 Speaker 6: tricky balancing act. There's a very you know, they have 311 00:16:17,920 --> 00:16:22,520 Speaker 6: to walk this really this tie trope. Again. The whole 312 00:16:22,560 --> 00:16:26,840 Speaker 6: deal with Warner Brothers Discovery for Paramount is predicated on 313 00:16:26,880 --> 00:16:30,240 Speaker 6: something like about six to eight billion dollars in synergies. 314 00:16:30,720 --> 00:16:33,000 Speaker 6: So you know, we'll we'll see how all of that 315 00:16:33,040 --> 00:16:35,160 Speaker 6: plays out. But Yeah, it's going to be a tough 316 00:16:35,280 --> 00:16:39,120 Speaker 6: road ahead regardless of whether they win or they don't. 317 00:16:39,400 --> 00:16:42,440 Speaker 2: What is the update on the deal mechanics, ETHA, Where 318 00:16:42,480 --> 00:16:43,120 Speaker 2: are we right now? 319 00:16:44,080 --> 00:16:47,960 Speaker 6: Yeah, So it was really interesting policy. In Paramount's earnings 320 00:16:47,960 --> 00:16:50,640 Speaker 6: release yesterday, they said that, you know, there's a good 321 00:16:50,720 --> 00:16:54,680 Speaker 6: chance of the Paramount thirty one dollars per share offer 322 00:16:54,720 --> 00:16:58,480 Speaker 6: for all of Warner Brothers Discovery being deemed a superior proposal. 323 00:16:59,200 --> 00:17:01,800 Speaker 6: And we've seen of Paramount rally a little bit on that. 324 00:17:01,880 --> 00:17:04,880 Speaker 6: We've also seen actually Netflix rally on that. I think 325 00:17:04,960 --> 00:17:08,720 Speaker 6: investors are becoming more and more comfortable with Netflix kind 326 00:17:08,720 --> 00:17:11,400 Speaker 6: of walking away from this deal. So again, a lot 327 00:17:11,440 --> 00:17:14,440 Speaker 6: to play out here, But there hasn't been any official 328 00:17:14,480 --> 00:17:18,040 Speaker 6: word just yet from the Warner Brothers Discovery board about whether, 329 00:17:18,320 --> 00:17:21,280 Speaker 6: you know, the Paramount proposal is in fact superior. 330 00:17:21,760 --> 00:17:24,040 Speaker 4: It seems like it's still a story that we're going 331 00:17:24,040 --> 00:17:27,320 Speaker 4: to be following closely. Paramount also offered modest revenue growth 332 00:17:27,320 --> 00:17:30,199 Speaker 4: targets for twenty twenty six. What key drivers do you 333 00:17:30,200 --> 00:17:33,240 Speaker 4: think will determine whether the company meets that outlook or 334 00:17:33,280 --> 00:17:37,240 Speaker 4: exceeds that outlook or even surprise investors perhaps. 335 00:17:38,280 --> 00:17:42,400 Speaker 6: I mean, so the organic growth outlook Isabelle. Yes, they're 336 00:17:42,400 --> 00:17:44,720 Speaker 6: trying to do their best. Remember they did you know 337 00:17:44,840 --> 00:17:47,800 Speaker 6: this is this is also a merged company paramount. You know, 338 00:17:47,840 --> 00:17:51,119 Speaker 6: they just recently acquired sky Dance, so they're trying to 339 00:17:51,200 --> 00:17:54,160 Speaker 6: do the best with you know, those new film assets. 340 00:17:54,200 --> 00:17:56,440 Speaker 6: But again, you know, if you just kind of look 341 00:17:56,440 --> 00:17:59,520 Speaker 6: at it across the board, you know, in the context 342 00:17:59,520 --> 00:18:01,600 Speaker 6: of the entire media landscape, it's still a very very 343 00:18:01,680 --> 00:18:05,680 Speaker 6: subscale company. Whether we're looking at streaming numbers you know, 344 00:18:06,080 --> 00:18:09,119 Speaker 6: about eighty million subscribers versus almost three hundred and twenty 345 00:18:09,320 --> 00:18:12,159 Speaker 6: three hundred and thirty million for Netflix, or whether you're 346 00:18:12,200 --> 00:18:14,840 Speaker 6: looking at the film business or even the TV business. 347 00:18:15,359 --> 00:18:18,840 Speaker 6: Everything is fairly subscale. So they definitely need some kind 348 00:18:18,880 --> 00:18:21,080 Speaker 6: of an m and a strategy. Obviously, Warner would be 349 00:18:21,119 --> 00:18:23,879 Speaker 6: perfect if it happens. If it doesn't, we'll have to 350 00:18:23,920 --> 00:18:26,880 Speaker 6: wait and watch. But you know, they're doing their best 351 00:18:26,960 --> 00:18:29,119 Speaker 6: that they can from an organic growth perspective, I just 352 00:18:29,160 --> 00:18:30,440 Speaker 6: don't think it's going to be enough. 353 00:18:31,320 --> 00:18:34,280 Speaker 2: Do you think Netflix will walk away? That would be 354 00:18:34,320 --> 00:18:34,880 Speaker 2: pretty bold. 355 00:18:37,720 --> 00:18:42,000 Speaker 6: They should, you know, collect they should collect the collected 356 00:18:42,080 --> 00:18:44,680 Speaker 6: to almost three billion dollars in termination fear. I mean, 357 00:18:44,720 --> 00:18:47,520 Speaker 6: this is really I mean, you know, you think about 358 00:18:47,520 --> 00:18:49,240 Speaker 6: this PALL in the long term. Yes, it's a great 359 00:18:49,240 --> 00:18:51,400 Speaker 6: asset to have, there's no doubt about it. But there's 360 00:18:51,600 --> 00:18:53,639 Speaker 6: it also comes with a tremendous amount of risk, not 361 00:18:53,720 --> 00:18:55,879 Speaker 6: to mention the biggest one being regulatory. So that's going 362 00:18:55,920 --> 00:18:58,600 Speaker 6: to be a big, big overhang, you know, for the 363 00:18:58,600 --> 00:19:00,560 Speaker 6: next twelve to eighteen months, and and of course after 364 00:19:00,600 --> 00:19:03,320 Speaker 6: that you have integration execution risks. So it's by no 365 00:19:03,440 --> 00:19:05,840 Speaker 6: means is it going to be you know, a Rosie 366 00:19:05,840 --> 00:19:09,600 Speaker 6: path ahead. I actually think Netflix will be better off 367 00:19:09,600 --> 00:19:10,080 Speaker 6: on its own. 368 00:19:12,080 --> 00:19:14,880 Speaker 2: Stay with us more from Bloomberg Intelligence coming up here 369 00:19:14,920 --> 00:19:15,159 Speaker 2: For this. 370 00:19:18,240 --> 00:19:21,920 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 371 00:19:22,000 --> 00:19:25,120 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 372 00:19:25,119 --> 00:19:28,399 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 373 00:19:28,480 --> 00:19:31,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 374 00:19:32,200 --> 00:19:34,600 Speaker 2: We are here in York City at the Bloomberg Interactive 375 00:19:34,600 --> 00:19:39,080 Speaker 2: Brokers Studio, streaming live on YouTube as well. Earning season 376 00:19:39,920 --> 00:19:45,679 Speaker 2: well in gear here and that includes Magna International Chicker MGA. 377 00:19:46,119 --> 00:19:50,520 Speaker 2: Magna is one of the world's largest automotive suppliers headquartered 378 00:19:50,640 --> 00:19:54,040 Speaker 2: in Ontario, Canada. Joining us today is Swami Kota Geary, 379 00:19:54,760 --> 00:19:57,920 Speaker 2: CEO of Magna International. Swami, thanks so much for joining 380 00:19:58,000 --> 00:20:01,639 Speaker 2: us here. I know you guys recently released earnings. What 381 00:20:01,680 --> 00:20:03,840 Speaker 2: can you tell us about your earnings that you just released, 382 00:20:03,840 --> 00:20:07,760 Speaker 2: maybe your outlook that you shared with your investors. 383 00:20:08,520 --> 00:20:12,159 Speaker 7: Good morning, Paul, Thanks for having me. You know, we 384 00:20:12,280 --> 00:20:15,760 Speaker 7: finished really the fourth quarter was strong, helped us finish 385 00:20:15,840 --> 00:20:19,159 Speaker 7: the year twenty twenty five in a strong way, setting 386 00:20:19,240 --> 00:20:23,439 Speaker 7: us up really good for twenty twenty six. We delivered, 387 00:20:23,720 --> 00:20:27,240 Speaker 7: you know, good cash flow. We hit the margin range 388 00:20:27,280 --> 00:20:30,000 Speaker 7: of five point six percent in EBIT that we talked about, 389 00:20:30,520 --> 00:20:33,160 Speaker 7: which set us up really good for twenty twenty six. 390 00:20:34,000 --> 00:20:38,280 Speaker 7: We are forecasting an EBIT range of six to six 391 00:20:38,320 --> 00:20:43,400 Speaker 7: point six. We are confident in the cash flow generation 392 00:20:43,760 --> 00:20:48,800 Speaker 7: and actually converting the earnings to cash. So we gave 393 00:20:48,880 --> 00:20:51,840 Speaker 7: a clear indication that we're going to be returning value 394 00:20:51,840 --> 00:20:55,040 Speaker 7: to the shareholders in the form of repurchase of twenty 395 00:20:55,040 --> 00:20:58,359 Speaker 7: four million shares in twenty twenty six, and all this 396 00:20:58,560 --> 00:21:03,560 Speaker 7: in a flat wallume as you see in our automotive industry, 397 00:21:04,040 --> 00:21:08,520 Speaker 7: that is the result of operational excellence and capital allocation discipline. 398 00:21:09,080 --> 00:21:11,480 Speaker 7: We have been doing this for the last three years 399 00:21:11,520 --> 00:21:14,960 Speaker 7: thirty five to forty BIPs annually, So if you take 400 00:21:15,000 --> 00:21:18,480 Speaker 7: twenty twenty six into account, this is the fourth year 401 00:21:19,560 --> 00:21:23,359 Speaker 7: running and our total margin expansion would adapt to about 402 00:21:23,359 --> 00:21:26,400 Speaker 7: two hundred basis points. So all in all, we feel 403 00:21:26,400 --> 00:21:29,720 Speaker 7: pretty good. It is a structural change in the operating 404 00:21:30,920 --> 00:21:34,080 Speaker 7: methodology and how we set our cost basis to the 405 00:21:34,080 --> 00:21:37,359 Speaker 7: reality of the industry today. So all in all, we 406 00:21:37,359 --> 00:21:38,720 Speaker 7: feel pretty good about twenty six. 407 00:21:40,800 --> 00:21:46,200 Speaker 4: With global auto production expected to stay flat, how realistic 408 00:21:46,280 --> 00:21:48,080 Speaker 4: is a midteen's profit growth this year? 409 00:21:49,680 --> 00:21:52,239 Speaker 7: Yeah, I think, Like I said, the key of the 410 00:21:52,280 --> 00:21:57,520 Speaker 7: margin expansion has been operational excellence from our site. It 411 00:21:57,640 --> 00:22:02,280 Speaker 7: is actually controlling the control of as we said. And 412 00:22:02,400 --> 00:22:06,080 Speaker 7: on top of that, we are going through digitization process 413 00:22:06,600 --> 00:22:09,679 Speaker 7: where eighty percent of the plants are online on a 414 00:22:10,119 --> 00:22:14,280 Speaker 7: unified platform, which gives real good operational visibility for us, 415 00:22:14,720 --> 00:22:19,200 Speaker 7: looking at every little detail, how the lines are running, 416 00:22:19,960 --> 00:22:24,080 Speaker 7: what are the stoppages, how is the material flowing? Every 417 00:22:24,119 --> 00:22:26,760 Speaker 7: penny counts, So all of this is what has helped 418 00:22:26,840 --> 00:22:30,720 Speaker 7: us add the margin expansion in the last three years, 419 00:22:30,720 --> 00:22:33,320 Speaker 7: and we have good visibility, not just for this year. 420 00:22:33,480 --> 00:22:36,160 Speaker 7: We believe it's still early innings. Going into next year. 421 00:22:36,760 --> 00:22:41,440 Speaker 7: So time part really was you know, working through the inflation, 422 00:22:41,600 --> 00:22:44,800 Speaker 7: right it started in twenty twenty two, and we have 423 00:22:44,880 --> 00:22:48,000 Speaker 7: started coding jobs in twenty two, twenty three, twenty four 424 00:22:48,040 --> 00:22:50,880 Speaker 7: with new economic terms. The new programs are rolling in. 425 00:22:51,359 --> 00:22:54,359 Speaker 7: So a combination of self help and new economic terms 426 00:22:54,480 --> 00:22:58,280 Speaker 7: is what gives the you know, incremental margins that we're 427 00:22:58,320 --> 00:22:58,879 Speaker 7: talking about. 428 00:23:00,119 --> 00:23:03,879 Speaker 2: Swami talked to us about terrors, how they have impacted 429 00:23:03,920 --> 00:23:07,119 Speaker 2: your company, what changes you have made, or what to 430 00:23:07,520 --> 00:23:09,040 Speaker 2: deal with the tariff situation. 431 00:23:10,080 --> 00:23:14,760 Speaker 7: So to samitap last year we had roughly ten basis 432 00:23:14,760 --> 00:23:19,199 Speaker 7: points of impact. The actual tariff impact was somewhere in 433 00:23:19,240 --> 00:23:21,560 Speaker 7: the range of one hundred and seventy million for the 434 00:23:21,680 --> 00:23:24,200 Speaker 7: nine months because you know, it started in April. First. 435 00:23:25,480 --> 00:23:28,760 Speaker 7: We have been able to mitigate, you know, with some 436 00:23:28,880 --> 00:23:32,240 Speaker 7: of our own actions, working with our customers and then 437 00:23:32,320 --> 00:23:37,600 Speaker 7: staying USMCA compliant, increasing the USMCA compliance going forward. So 438 00:23:37,640 --> 00:23:40,600 Speaker 7: all in all, in twenty twenty six, we believe it 439 00:23:40,600 --> 00:23:44,320 Speaker 7: will be in the same range. The annual impact given 440 00:23:44,440 --> 00:23:47,240 Speaker 7: everything as we know today stays it's about two hundred 441 00:23:47,240 --> 00:23:50,520 Speaker 7: million or so. But we believe we can mitigate, continue 442 00:23:50,520 --> 00:23:53,200 Speaker 7: to work with our customers and so on and so forth. 443 00:23:53,960 --> 00:23:56,320 Speaker 7: So the net impact still would be in the range 444 00:23:56,320 --> 00:23:57,960 Speaker 7: of twenty five to thirty million this year. 445 00:23:59,000 --> 00:24:01,600 Speaker 4: How much of the growth would come from higher content 446 00:24:01,640 --> 00:24:06,159 Speaker 4: per vehicle, especially as Detroit, for example, shifts towards larger 447 00:24:06,160 --> 00:24:07,920 Speaker 4: pickups and SUVs. 448 00:24:08,960 --> 00:24:12,760 Speaker 7: Yeah, I think part of the margin increments that you're 449 00:24:12,800 --> 00:24:15,440 Speaker 7: seeing is the mix and the new programs coming in 450 00:24:15,600 --> 00:24:18,400 Speaker 7: and the change in content per vehicle. But a good 451 00:24:18,440 --> 00:24:21,360 Speaker 7: point to note might be we have been doing this 452 00:24:21,440 --> 00:24:26,000 Speaker 7: for the last twenty years. The growth over market has 453 00:24:26,040 --> 00:24:28,879 Speaker 7: been about We've been growing about four percent a year. 454 00:24:28,960 --> 00:24:30,840 Speaker 7: If you look at a ten year period. For the 455 00:24:30,920 --> 00:24:33,520 Speaker 7: last five years, we've been growing at twenty half percent. 456 00:24:34,359 --> 00:24:37,760 Speaker 7: So all in all, we continue to grow in low 457 00:24:37,840 --> 00:24:40,439 Speaker 7: single digits. I would say if you take a longer 458 00:24:40,440 --> 00:24:44,280 Speaker 7: period of time, one data point which will help you 459 00:24:44,320 --> 00:24:48,119 Speaker 7: give context. Twenty years ago, Magna was a twenty billion 460 00:24:48,160 --> 00:24:52,040 Speaker 7: dollar company and North America was producing fifteen million units 461 00:24:52,040 --> 00:24:55,840 Speaker 7: in production today roughly the same production as you know, 462 00:24:55,960 --> 00:24:58,320 Speaker 7: fifteen to fifteen and a half, and we are a 463 00:24:58,359 --> 00:25:01,480 Speaker 7: forty billion dollar company, right, So all this came through 464 00:25:02,080 --> 00:25:05,880 Speaker 7: diversifying our customer base and increasing our content per. 465 00:25:05,920 --> 00:25:12,000 Speaker 1: Veyfore this is the Bloomberg Intelligence podcast, available on Apple, Spotify, 466 00:25:12,160 --> 00:25:16,080 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 467 00:25:16,359 --> 00:25:19,639 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 468 00:25:19,720 --> 00:25:23,600 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 469 00:25:23,600 --> 00:25:26,919 Speaker 1: can also watch us live every weekday on YouTube and 470 00:25:27,119 --> 00:25:29,080 Speaker 1: always on the Bloomberg terminal