1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,959 Speaker 1: at Bloomberg dot com slash podcast. Let's get right to 7 00:00:23,040 --> 00:00:28,080 Speaker 1: our next guest, Sad Path Soda Ryan, chief revenue officer 8 00:00:28,200 --> 00:00:31,280 Speaker 1: from Verizon, joins a sad Path. Thanks so much for 9 00:00:31,400 --> 00:00:38,320 Speaker 1: joining us here, huge global company, Verizon Business Consumer. How 10 00:00:38,360 --> 00:00:44,160 Speaker 1: has your business changed in the last two years? Hey, 11 00:00:44,200 --> 00:00:47,680 Speaker 1: good morning everyone. Look, it's been a good time for us. 12 00:00:47,920 --> 00:00:51,240 Speaker 1: You know, as networks become even more important as people 13 00:00:51,320 --> 00:00:55,319 Speaker 1: work from home, remote work is more prevalent networks and 14 00:00:55,360 --> 00:00:58,800 Speaker 1: what we offer becomes really important. And for us, it's 15 00:00:58,880 --> 00:01:01,920 Speaker 1: also where we are launching five G you know, we 16 00:01:01,960 --> 00:01:04,759 Speaker 1: are right now at the cusp of a second phase 17 00:01:04,800 --> 00:01:07,040 Speaker 1: of the five G era where we turn on our 18 00:01:07,080 --> 00:01:09,720 Speaker 1: ce band network in a few weeks times. So it's 19 00:01:09,760 --> 00:01:13,639 Speaker 1: it's it's just a great time to be in this business. 20 00:01:13,640 --> 00:01:16,240 Speaker 1: So you are the chief revenue officer. I don't know 21 00:01:16,280 --> 00:01:18,080 Speaker 1: how deep into the tech you are, but you have 22 00:01:18,200 --> 00:01:23,920 Speaker 1: to have some um view on the safety of five G. 23 00:01:24,200 --> 00:01:25,960 Speaker 1: All of a sudden, for the first time last week, 24 00:01:26,000 --> 00:01:29,920 Speaker 1: I'm hearing that it's capable of messing with airplanes altitude 25 00:01:30,360 --> 00:01:34,520 Speaker 1: sensors and maybe you would make landing dangerous. To me, 26 00:01:34,560 --> 00:01:38,160 Speaker 1: it's pretty binary. Either it's dangerous or it's not. What's 27 00:01:38,200 --> 00:01:43,520 Speaker 1: the deal, It's not dangerous. Look, safeties are most important 28 00:01:43,520 --> 00:01:45,200 Speaker 1: to us, and it's kind of number one in what 29 00:01:45,280 --> 00:01:48,800 Speaker 1: we do. All we that are forty countries around the 30 00:01:48,800 --> 00:01:51,480 Speaker 1: world that have five G networks in the same CE 31 00:01:51,600 --> 00:01:55,080 Speaker 1: band that we operate in. Planes takeoff, planes land there 32 00:01:55,240 --> 00:01:58,880 Speaker 1: really well, one of the countries is France. You know, 33 00:01:59,000 --> 00:02:02,080 Speaker 1: American planes go in and get out there. What we 34 00:02:02,160 --> 00:02:05,160 Speaker 1: are proposing is a kind of a similar approach to 35 00:02:05,280 --> 00:02:07,440 Speaker 1: what's there in France, where we kind of have an 36 00:02:07,440 --> 00:02:10,240 Speaker 1: exclusionary zone just outside the airports where we have lower 37 00:02:10,240 --> 00:02:13,120 Speaker 1: power levels so there's no interference that way. You know. 38 00:02:13,160 --> 00:02:16,080 Speaker 1: We give the f A and the FCC six months 39 00:02:16,080 --> 00:02:19,639 Speaker 1: to work this out, but we feel very confident and 40 00:02:19,680 --> 00:02:21,720 Speaker 1: we just can't wait to launch the network. I mean, 41 00:02:21,720 --> 00:02:23,880 Speaker 1: even if you didn't have that sand path, what if 42 00:02:23,919 --> 00:02:28,600 Speaker 1: you had the strongest, most powerful five G signals right 43 00:02:28,800 --> 00:02:33,560 Speaker 1: up the tower. Um, would it interfere with I mean, 44 00:02:33,760 --> 00:02:37,280 Speaker 1: aren't the bandwidths different? Isn't Isn't there someone who made 45 00:02:37,320 --> 00:02:41,160 Speaker 1: sure that this is a different part of the frequency 46 00:02:41,520 --> 00:02:46,480 Speaker 1: before they sold you, um, this bundle? Yeah, exactly. Look, 47 00:02:46,520 --> 00:02:49,359 Speaker 1: you know we spent fifty three billion dollars for it. Uh. 48 00:02:49,360 --> 00:02:51,560 Speaker 1: And the laws of physics are the same either in 49 00:02:51,560 --> 00:02:53,919 Speaker 1: the United States or in France or any of the 50 00:02:54,360 --> 00:02:57,280 Speaker 1: other countries. In fact, in the US, the guard band 51 00:02:57,360 --> 00:03:00,520 Speaker 1: are kind of the protection band between the spectrum we 52 00:03:00,680 --> 00:03:03,040 Speaker 1: use and then the spectrum the airlines use. Is one 53 00:03:03,040 --> 00:03:05,240 Speaker 1: of the largest in the world, so there are two 54 00:03:05,280 --> 00:03:08,680 Speaker 1: different spectrums. We have a very large guard band, and 55 00:03:08,840 --> 00:03:11,880 Speaker 1: with us, you know, lowering power levels and other technical 56 00:03:11,919 --> 00:03:17,040 Speaker 1: things around airports, we see absolutely no risk. So Sampath 57 00:03:17,120 --> 00:03:22,320 Speaker 1: gives a sense advertising again a huge company. Um, how 58 00:03:22,440 --> 00:03:27,480 Speaker 1: what's the are you know, managing through the pandemic? How 59 00:03:27,520 --> 00:03:32,560 Speaker 1: has Verizon done? How has Verizon adapted? A couple of things, 60 00:03:32,560 --> 00:03:34,680 Speaker 1: you know, One, we have to balance out four of 61 00:03:34,720 --> 00:03:38,880 Speaker 1: our stakeholders, you know, whether it's employees, customers, shareholders, and 62 00:03:38,880 --> 00:03:41,760 Speaker 1: broader society. So just having that balance has been a 63 00:03:41,800 --> 00:03:44,480 Speaker 1: good framework for us to get through. The second is 64 00:03:44,520 --> 00:03:47,040 Speaker 1: that personal safety is important for our teams. But we 65 00:03:47,120 --> 00:03:50,720 Speaker 1: also realized that the service we operate networks is kind 66 00:03:50,760 --> 00:03:53,600 Speaker 1: of the backbone of the global economy today. It's the 67 00:03:53,680 --> 00:03:56,200 Speaker 1: rails on which most of the economy runs on. So 68 00:03:56,440 --> 00:03:58,720 Speaker 1: for us, it's been a careful balance of the four 69 00:03:58,720 --> 00:04:02,400 Speaker 1: stakeholders as well as ensuring that our networks up and 70 00:04:02,520 --> 00:04:05,520 Speaker 1: running at the same time. Now it's also the same 71 00:04:05,560 --> 00:04:10,000 Speaker 1: time we decided to deploy five G. More broadly, Actually, 72 00:04:10,000 --> 00:04:12,000 Speaker 1: it's been a little faster than what we had planned 73 00:04:12,000 --> 00:04:15,240 Speaker 1: because our construction has not stopped. We've moved applied faster. 74 00:04:15,400 --> 00:04:16,960 Speaker 1: So you know, a little bit of good and bad, 75 00:04:17,040 --> 00:04:19,840 Speaker 1: but overall is just a great time to be here. 76 00:04:20,000 --> 00:04:22,960 Speaker 1: The other thing I've noticed, um from the consumer side, 77 00:04:23,760 --> 00:04:27,520 Speaker 1: people have been using more data than ever on a 78 00:04:27,600 --> 00:04:31,919 Speaker 1: level that they probably wouldn't have imagined. Not just consuming um, 79 00:04:31,960 --> 00:04:36,080 Speaker 1: you know, uh media content like television shows and movies, 80 00:04:36,200 --> 00:04:39,960 Speaker 1: but they're doing all of their banking online, and they're 81 00:04:39,960 --> 00:04:42,800 Speaker 1: starting their cars with their phones and controlling their home 82 00:04:43,560 --> 00:04:46,400 Speaker 1: HVAC systems with their phones. And you know, this was 83 00:04:46,400 --> 00:04:48,760 Speaker 1: what was forecast to happen, but I don't think anyone 84 00:04:48,760 --> 00:04:51,560 Speaker 1: expected it to boom all of a sudden happening side 85 00:04:51,560 --> 00:04:55,320 Speaker 1: of the period of one year. Um, how is that 86 00:04:55,400 --> 00:04:58,400 Speaker 1: for you? Are you still offering unlimited data packages or 87 00:04:58,440 --> 00:05:03,160 Speaker 1: people using fort sixty gigs a month? Yeah, people are 88 00:05:03,240 --> 00:05:04,880 Speaker 1: using a lot of data. As you said, they use 89 00:05:04,960 --> 00:05:07,320 Speaker 1: it for everything. I wish I could say everything is 90 00:05:07,320 --> 00:05:09,040 Speaker 1: for great to you with my kids use it for 91 00:05:09,080 --> 00:05:11,080 Speaker 1: a lot more gaming than they need to. But yes, 92 00:05:11,200 --> 00:05:14,640 Speaker 1: definitely a lot of data consumption that's gone, which is 93 00:05:14,720 --> 00:05:17,880 Speaker 1: why the five G network is critical because one of 94 00:05:17,920 --> 00:05:20,800 Speaker 1: the biggest advantages of five G if you get more 95 00:05:20,880 --> 00:05:24,880 Speaker 1: throughput and more speed. So we're literally adding a ton 96 00:05:25,160 --> 00:05:27,320 Speaker 1: and a ton of a technical term, a ton of 97 00:05:27,360 --> 00:05:31,080 Speaker 1: capacity in the network. All right, Sam Path, thank you 98 00:05:31,120 --> 00:05:33,360 Speaker 1: so much for joining us. Really appreciate getting your thoughts there, 99 00:05:33,360 --> 00:05:37,000 Speaker 1: Sam Path, so many on a Ryan, chief revenue officer 100 00:05:37,200 --> 00:05:44,680 Speaker 1: for Verizon. I was just typing out a letter to 101 00:05:45,279 --> 00:05:47,840 Speaker 1: some of the producers upstairs at the Quick Take at 102 00:05:47,839 --> 00:05:51,240 Speaker 1: Bloomberg Quick Take, a little pitch for them because I said, 103 00:05:51,400 --> 00:05:54,000 Speaker 1: you should have me on more I can talk about cars, 104 00:05:54,120 --> 00:05:55,800 Speaker 1: and they were like, yeah, all you want to talk 105 00:05:55,800 --> 00:05:57,279 Speaker 1: about is cars, But I said, look, it's at the 106 00:05:57,360 --> 00:06:01,160 Speaker 1: center of the economy, probably more so UM that any 107 00:06:01,200 --> 00:06:05,280 Speaker 1: time since Henry Ford started his production line, because these 108 00:06:05,520 --> 00:06:09,000 Speaker 1: vehicles use more and more chips, especially as they produce 109 00:06:09,520 --> 00:06:13,839 Speaker 1: UM more hybrids and e vs than they ever have before. 110 00:06:14,279 --> 00:06:17,280 Speaker 1: It's it's connected to the labor story, it's connected to 111 00:06:17,720 --> 00:06:22,240 Speaker 1: UH consumer spending, and it's just amazing. Let's let's focus 112 00:06:22,279 --> 00:06:23,960 Speaker 1: in on the chips part of it, because we have 113 00:06:24,440 --> 00:06:27,479 Speaker 1: not Cool Dougal Uh. He is a senior VP and 114 00:06:27,520 --> 00:06:31,880 Speaker 1: General manager of Automotive UH for qual Calm right now, 115 00:06:32,080 --> 00:06:35,880 Speaker 1: and they are I'm gonna get the biggest not Cool 116 00:06:35,920 --> 00:06:39,240 Speaker 1: correct me if if I'm wrong, the biggest automotive chip 117 00:06:39,279 --> 00:06:42,200 Speaker 1: maker in the world. I would like to see the 118 00:06:42,240 --> 00:06:45,120 Speaker 1: fastest going. Good morning, gentlemen, the fastest growing all right. 119 00:06:45,120 --> 00:06:47,680 Speaker 1: I just know because UM I was at the Munich 120 00:06:47,720 --> 00:06:49,680 Speaker 1: Auto Show. I spent a lot of time at car shows, 121 00:06:49,720 --> 00:06:53,679 Speaker 1: and UM I noticed so many products there, UM, from 122 00:06:53,960 --> 00:06:58,560 Speaker 1: the trucks to the cars to Ducati motorcycles are packing 123 00:06:58,640 --> 00:07:02,520 Speaker 1: qual Calm chips UM, and you can't make them fast enough. Right, 124 00:07:02,560 --> 00:07:06,159 Speaker 1: Are you still at a point where your order books 125 00:07:06,200 --> 00:07:09,280 Speaker 1: are completely full and you just can't ship them quickly enough. 126 00:07:09,320 --> 00:07:12,560 Speaker 1: To the customer. You know, that's right. We've been able 127 00:07:12,640 --> 00:07:16,360 Speaker 1: to stay ahead of the challenges that the industry has 128 00:07:16,400 --> 00:07:20,360 Speaker 1: had because we prioritize automotive over our other businesses, just 129 00:07:20,400 --> 00:07:23,920 Speaker 1: because of the complexity of the auto industry. But we 130 00:07:23,960 --> 00:07:28,120 Speaker 1: consider ourselves MATH bought in a very fortunate position because 131 00:07:28,640 --> 00:07:31,240 Speaker 1: you know, we uh, I would say, human as far 132 00:07:31,280 --> 00:07:34,640 Speaker 1: back as a decade ago, made the call that automotive 133 00:07:34,760 --> 00:07:38,480 Speaker 1: was a very important adjacency forkcom to start to focus 134 00:07:38,560 --> 00:07:42,480 Speaker 1: on and invest in as this market goes through a 135 00:07:42,520 --> 00:07:46,160 Speaker 1: significant amount of transformation, and we are seeing a lot 136 00:07:46,200 --> 00:07:49,760 Speaker 1: of the dividends of the investments we've made back then 137 00:07:50,400 --> 00:07:53,000 Speaker 1: pay out as we look ahead. Now, cool, maybe you 138 00:07:53,040 --> 00:07:55,040 Speaker 1: can settle an argument. Matt and I were just having 139 00:07:55,200 --> 00:07:58,080 Speaker 1: literally here in the studio about you know, I was questioning, 140 00:07:58,160 --> 00:08:02,320 Speaker 1: why are we still having such a pronounced chip shortage 141 00:08:02,320 --> 00:08:05,400 Speaker 1: on a global scale. Matt says, it was, you know, 142 00:08:05,480 --> 00:08:09,440 Speaker 1: just unprecedented increase in demand across a range of products. 143 00:08:09,480 --> 00:08:10,800 Speaker 1: I said, no, no, no, I think it's got to 144 00:08:10,840 --> 00:08:14,720 Speaker 1: come from the supply side. That maybe plant closures in Asia, 145 00:08:14,880 --> 00:08:18,760 Speaker 1: and so that really came on the supply side, but 146 00:08:18,920 --> 00:08:21,200 Speaker 1: so long ago, I know, But I'm just thinking, these 147 00:08:21,240 --> 00:08:23,440 Speaker 1: chip guys have got to figure this thing out, so 148 00:08:23,760 --> 00:08:26,600 Speaker 1: settle this debate for us. I think there are there 149 00:08:26,640 --> 00:08:28,240 Speaker 1: are a few different things going on, and I think 150 00:08:28,320 --> 00:08:33,040 Speaker 1: first of all, electrification is creating the need for new 151 00:08:33,160 --> 00:08:37,160 Speaker 1: architectures for vehicles. So there is a lot of focus 152 00:08:37,360 --> 00:08:40,560 Speaker 1: as you look at the next generation modern cars to 153 00:08:40,640 --> 00:08:44,679 Speaker 1: move towards an architecture that relies on semiconductors much more 154 00:08:44,720 --> 00:08:49,080 Speaker 1: heavily as it has. As you know, the the car 155 00:08:49,160 --> 00:08:52,160 Speaker 1: industry is moving more towards the mobility business, which means 156 00:08:52,200 --> 00:08:54,040 Speaker 1: you have to be able to have a tremendous amount 157 00:08:54,040 --> 00:08:58,840 Speaker 1: of software and semiconductors that power that software. UH. What 158 00:08:59,040 --> 00:09:03,120 Speaker 1: compounds become flexity is as we went through COVID UH, 159 00:09:03,440 --> 00:09:07,720 Speaker 1: the automotive architecture has relied on a variety of different 160 00:09:08,880 --> 00:09:13,319 Speaker 1: vintages of semiconductors. As architectures and automotive haven't evolved for 161 00:09:13,360 --> 00:09:15,400 Speaker 1: a long period of time, there is a dependency on 162 00:09:15,440 --> 00:09:20,719 Speaker 1: older architectures that use semiconductors in lagging process notes. That's 163 00:09:20,720 --> 00:09:23,640 Speaker 1: when most of the complexity is where you've been developing 164 00:09:23,679 --> 00:09:26,439 Speaker 1: semiconductors on older notes for a long period of time 165 00:09:27,040 --> 00:09:31,040 Speaker 1: that that have a lot more complexity to modernize. The 166 00:09:31,080 --> 00:09:33,920 Speaker 1: complexity is much less when you talk about the next 167 00:09:33,960 --> 00:09:36,200 Speaker 1: generation notes. So what we are starting to see is 168 00:09:37,080 --> 00:09:42,360 Speaker 1: a significant transition towards newer notes. You can't completely get 169 00:09:42,400 --> 00:09:44,520 Speaker 1: yourself out of the depends on older notes, but a 170 00:09:44,600 --> 00:09:47,920 Speaker 1: significant faster transition to newer nodes, which obviously places to 171 00:09:47,960 --> 00:09:51,040 Speaker 1: our advantage. I've noticed some some carmakers are just dropping 172 00:09:51,040 --> 00:09:54,640 Speaker 1: functions completely because they don't have the chips to power them. 173 00:09:54,640 --> 00:09:58,240 Speaker 1: For example, about ten years ago, a lot of the 174 00:09:58,280 --> 00:10:01,600 Speaker 1: carmakers started offering the style start technology where your motor 175 00:10:01,640 --> 00:10:05,400 Speaker 1: switches off at a stoplight. UM. Car guys hate it 176 00:10:05,520 --> 00:10:08,439 Speaker 1: right and always try and disable it. Now I've noticed 177 00:10:08,480 --> 00:10:11,280 Speaker 1: some car makers like GM, I'm building a truck on 178 00:10:11,320 --> 00:10:15,080 Speaker 1: their website and they say, uh, no stops to feature anymore. 179 00:10:15,400 --> 00:10:17,880 Speaker 1: So you get fifty dollars back. Are you are you 180 00:10:17,880 --> 00:10:20,520 Speaker 1: going to see more of that you think the cool 181 00:10:20,679 --> 00:10:23,000 Speaker 1: or less of that? Are Are we at a point 182 00:10:23,040 --> 00:10:25,560 Speaker 1: where this is getting better or we're or still worse? 183 00:10:26,360 --> 00:10:28,160 Speaker 1: I think it's an excellent question. I think that's an 184 00:10:28,200 --> 00:10:32,600 Speaker 1: example of the dependency on a small micro controller that 185 00:10:33,280 --> 00:10:36,320 Speaker 1: is in short supply and it's going to be harder 186 00:10:36,320 --> 00:10:39,400 Speaker 1: to get around. The transition we are seeing pollen mat 187 00:10:39,559 --> 00:10:42,359 Speaker 1: is that those steps of functions are moving to software, 188 00:10:42,679 --> 00:10:46,840 Speaker 1: so where you have much harder performance application processors that 189 00:10:46,920 --> 00:10:49,760 Speaker 1: the auto industry is now embracing, and a function like 190 00:10:49,920 --> 00:10:53,360 Speaker 1: stop start can actually be integrated as a software function 191 00:10:53,800 --> 00:10:57,160 Speaker 1: into the higher end processor as opposed to rely on 192 00:10:57,640 --> 00:11:02,120 Speaker 1: a simple discrete micro controller. So you will start to 193 00:11:02,160 --> 00:11:05,960 Speaker 1: see examples like this play out, and that functionality gets 194 00:11:05,960 --> 00:11:10,880 Speaker 1: subsumed into larger application processors that then manage that functionality 195 00:11:10,880 --> 00:11:14,920 Speaker 1: to software. All right, Nicole, here's the money question. When 196 00:11:15,000 --> 00:11:17,960 Speaker 1: is this chip shortage going to be addressed? Here? When 197 00:11:18,000 --> 00:11:22,240 Speaker 1: are we making back to more normalized supply demand. Well, 198 00:11:22,240 --> 00:11:24,360 Speaker 1: you know, I think it's a complex question because it 199 00:11:24,480 --> 00:11:27,920 Speaker 1: is a bit different for each automaker. Everybody has a 200 00:11:27,960 --> 00:11:31,280 Speaker 1: slightly different type of challenge too. Smaller automakers are going 201 00:11:31,320 --> 00:11:34,280 Speaker 1: to be able to get around it faster, especially if 202 00:11:34,280 --> 00:11:38,200 Speaker 1: they move to newer architectures. The larger ones that have 203 00:11:38,440 --> 00:11:43,480 Speaker 1: a lot more complexity, lot more diversity across their uh 204 00:11:43,520 --> 00:11:47,440 Speaker 1: their portfolio, have a lot more dependency on the complexity 205 00:11:47,480 --> 00:11:49,840 Speaker 1: of the semiconductor crisis. But I would imagine, you know, 206 00:11:49,840 --> 00:11:53,080 Speaker 1: in the I think we are. I think towards the 207 00:11:53,160 --> 00:11:55,679 Speaker 1: end of twenty two we should certainly start to see 208 00:11:56,240 --> 00:11:59,360 Speaker 1: the industry come out of a lot of this complexity 209 00:11:59,520 --> 00:12:02,679 Speaker 1: on the whole. From our perspective, we have actually been 210 00:12:02,720 --> 00:12:06,360 Speaker 1: able to stay ahead of this challenge, but clearly we 211 00:12:06,440 --> 00:12:10,800 Speaker 1: supply a portion of the overall semiconductor portfolio within a 212 00:12:10,920 --> 00:12:13,920 Speaker 1: vehicle n cool what's the smartest car out there? What's 213 00:12:13,960 --> 00:12:18,640 Speaker 1: the what's the coolest, high highest tech vehicle that you 214 00:12:18,679 --> 00:12:22,400 Speaker 1: could buy right now? Yeah? I think, you know, there 215 00:12:22,400 --> 00:12:25,360 Speaker 1: are several because we have so many different partners and 216 00:12:25,400 --> 00:12:27,800 Speaker 1: customers that we work with. But you know, one thing 217 00:12:27,840 --> 00:12:30,200 Speaker 1: that we are very proud of is the fact that 218 00:12:30,280 --> 00:12:32,800 Speaker 1: the strategy that we've laid out over the last five 219 00:12:32,880 --> 00:12:35,600 Speaker 1: years has now culminated into working called the Snap Drag 220 00:12:35,600 --> 00:12:39,840 Speaker 1: and Digital Chassis, which is basically enabling automakers with the 221 00:12:39,960 --> 00:12:45,240 Speaker 1: newest tech, the latest semiconductors in software, connected to highly 222 00:12:45,280 --> 00:12:48,760 Speaker 1: complex ecosystems, whether it's in the autonomous space or in 223 00:12:48,800 --> 00:12:53,040 Speaker 1: the digital cockpit experience or five connectivity, and bringing that 224 00:12:53,240 --> 00:12:57,440 Speaker 1: together to help automakers make a much larger step up 225 00:12:57,480 --> 00:13:00,400 Speaker 1: in terms of modernization. We've been working with General Motors 226 00:13:00,440 --> 00:13:02,560 Speaker 1: for a number of years, but over twenty years. And 227 00:13:02,800 --> 00:13:07,040 Speaker 1: Mary Burton announced the partnership with us UH can see 228 00:13:07,120 --> 00:13:09,720 Speaker 1: yes a few days ago. We are very part of 229 00:13:09,760 --> 00:13:11,880 Speaker 1: the Altar Cruise work that we've been doing with them, 230 00:13:11,920 --> 00:13:15,800 Speaker 1: which is a level three door to door autonomous service. 231 00:13:16,720 --> 00:13:20,480 Speaker 1: We made an announcement with the bub back in November 232 00:13:20,840 --> 00:13:26,920 Speaker 1: on Ada. Wal Boy has been working with us. Difficult 233 00:13:26,960 --> 00:13:32,600 Speaker 1: to pick one of my favorite customers, all right, Nicole 234 00:13:32,760 --> 00:13:36,680 Speaker 1: Nicole Naldgal, Senior VP and General Manager Automotive for Qualcom. 235 00:13:36,720 --> 00:13:38,920 Speaker 1: I don't know. They need to get more chips out 236 00:13:38,960 --> 00:13:41,439 Speaker 1: into the marketplace. That's what their customers are demanding. We'll 237 00:13:41,480 --> 00:13:47,400 Speaker 1: see how long that plays out. We talked about that 238 00:13:47,400 --> 00:13:51,800 Speaker 1: they'll Take two again buying who are they buying? Other things? 239 00:13:54,320 --> 00:13:58,840 Speaker 1: Premium twelve billion? Large? That size. I didn't know there 240 00:13:58,880 --> 00:14:02,680 Speaker 1: was that arm for words with friends. It's not even scrabble, 241 00:14:03,400 --> 00:14:05,240 Speaker 1: it's an also ran. All right, let's check in with 242 00:14:05,240 --> 00:14:07,600 Speaker 1: an expert here on this deal. I mean Ben Sad 243 00:14:07,840 --> 00:14:10,760 Speaker 1: he is t MT analyst at Bloomberg Intelligence. I mean, 244 00:14:10,800 --> 00:14:13,320 Speaker 1: thanks so much for taking a time here. Is this 245 00:14:13,600 --> 00:14:18,000 Speaker 1: a good deal for Take two? Their stock is trading down? Yeah? 246 00:14:18,080 --> 00:14:19,920 Speaker 1: I mean thanks for having me and and I think this 247 00:14:20,000 --> 00:14:22,520 Speaker 1: is a very good deal for for Take two, especially 248 00:14:22,680 --> 00:14:25,640 Speaker 1: as when you look at the numbers in this deal. 249 00:14:26,360 --> 00:14:28,560 Speaker 1: First of all, it looks like this is the largest 250 00:14:28,600 --> 00:14:32,040 Speaker 1: video game deal ever from a mini stand point. And 251 00:14:32,200 --> 00:14:36,600 Speaker 1: second of all, Take two previously they had almost ten 252 00:14:36,640 --> 00:14:39,800 Speaker 1: percent of theirselves from mobile, and this deal is gonna, 253 00:14:40,160 --> 00:14:42,400 Speaker 1: you know, the next few years is gonna push that 254 00:14:42,520 --> 00:14:45,280 Speaker 1: to over fifty serves of going to mobile. And that's 255 00:14:45,320 --> 00:14:48,360 Speaker 1: important because mobile is that first is growing. Uh you 256 00:14:48,400 --> 00:14:52,600 Speaker 1: know gaming, Uh certainly, I just I find that so 257 00:14:52,680 --> 00:14:55,880 Speaker 1: hard to believe because I don't know what you can 258 00:14:55,920 --> 00:14:59,400 Speaker 1: do with mobile. I I love video games I have 259 00:14:59,600 --> 00:15:04,840 Speaker 1: ever since, not Pong, but you know, Galactica and all 260 00:15:04,880 --> 00:15:11,240 Speaker 1: the way through, um Super Mario Brothers with Nintendo three 261 00:15:11,360 --> 00:15:15,440 Speaker 1: and none of the Daga up through. You know. Now 262 00:15:15,480 --> 00:15:18,000 Speaker 1: I'm playing Xbox all the time, Call of Duty and 263 00:15:18,520 --> 00:15:22,320 Speaker 1: even Red Dead unfortunately I hate it, but I play it. Um, 264 00:15:22,360 --> 00:15:25,440 Speaker 1: what can you do on mobile? There's like, aside from 265 00:15:25,480 --> 00:15:29,320 Speaker 1: Angry Birds, right, how can it can't even get complex enough? 266 00:15:30,360 --> 00:15:32,160 Speaker 1: You know, First, I would say you actually impressed me 267 00:15:32,160 --> 00:15:34,880 Speaker 1: earlier when you mentioned Collegual Vision, which is, you know, 268 00:15:34,880 --> 00:15:37,680 Speaker 1: one of the oldest came in conforts even before Autari, 269 00:15:37,800 --> 00:15:41,160 Speaker 1: so that was gooding knowledge knowledge there I didn't you 270 00:15:41,160 --> 00:15:43,800 Speaker 1: can know about that. But from gaming, you know, mobile 271 00:15:43,840 --> 00:15:47,320 Speaker 1: has been very successful because we don't target gamers. They 272 00:15:47,320 --> 00:15:53,080 Speaker 1: target uh segment in the population called hyper hyper casual gamers. Right, 273 00:15:53,240 --> 00:15:55,720 Speaker 1: somebody just plays can division a little bit, plays some 274 00:15:55,920 --> 00:15:59,600 Speaker 1: puzzles or something, or farm reels or world with friends, 275 00:16:00,040 --> 00:16:02,880 Speaker 1: and that's why this segment has imploded in the last 276 00:16:02,880 --> 00:16:05,440 Speaker 1: few years, and especially in Asia it has been doing 277 00:16:05,480 --> 00:16:07,680 Speaker 1: really really well. So really, if to focus on the 278 00:16:07,760 --> 00:16:11,080 Speaker 1: hyper casual quote unquote gamers, that's why there is a 279 00:16:11,120 --> 00:16:14,440 Speaker 1: huge success in this platform. I also wonder about the 280 00:16:14,520 --> 00:16:17,320 Speaker 1: lack of gamers. Are we worried that, you know, the 281 00:16:17,360 --> 00:16:21,320 Speaker 1: world just isn't producing enough young people. We're gonna actually 282 00:16:21,360 --> 00:16:23,960 Speaker 1: read a book, We're gonna, we're gonna we're gonna have 283 00:16:24,120 --> 00:16:27,200 Speaker 1: enough video games for sure, But are there enough consumers 284 00:16:27,240 --> 00:16:31,680 Speaker 1: for all this content? Yes? Absolutely, I think overall globally, 285 00:16:32,040 --> 00:16:35,120 Speaker 1: if you include the hyper casual gamers, there's over three 286 00:16:35,160 --> 00:16:37,920 Speaker 1: billion gamers right now. So it's not going to be 287 00:16:38,000 --> 00:16:40,320 Speaker 1: the lack of gamers, especially with this new generation there 288 00:16:40,320 --> 00:16:43,760 Speaker 1: are basically born in gaming. If you think about Fortnight 289 00:16:43,880 --> 00:16:47,200 Speaker 1: and other games like that. Gaming has become much more 290 00:16:47,240 --> 00:16:50,160 Speaker 1: mainstream than news to be back then, and now it's 291 00:16:50,200 --> 00:16:55,200 Speaker 1: all one handed, any billion dollar global industry. So the 292 00:16:55,360 --> 00:16:57,760 Speaker 1: industry is growing, the user basis growing, so it's not 293 00:16:57,800 --> 00:16:59,920 Speaker 1: going to be lack of gamers. I think to your point, 294 00:17:00,000 --> 00:17:02,560 Speaker 1: it's probably the lack of contact. And especially during the pandemic. 295 00:17:02,840 --> 00:17:07,119 Speaker 1: All the major video game makers were impacted by the pandemics, 296 00:17:07,119 --> 00:17:10,720 Speaker 1: but they have lower content that they expected. Uh, and 297 00:17:11,440 --> 00:17:15,800 Speaker 1: talking about this deal here quickly, Uh, Take two kept 298 00:17:15,840 --> 00:17:19,560 Speaker 1: delaying news about g t A six content of for six, 299 00:17:19,600 --> 00:17:23,120 Speaker 1: which is one of the major games being awaited in 300 00:17:23,119 --> 00:17:25,480 Speaker 1: this industry. And this is why this deal kind of 301 00:17:25,560 --> 00:17:27,720 Speaker 1: makes sense to uh, you know, to remove some of 302 00:17:27,760 --> 00:17:30,040 Speaker 1: the headaches in the top line that this company with 303 00:17:30,119 --> 00:17:32,280 Speaker 1: you facing, all right, I mean, thanks so much for 304 00:17:32,320 --> 00:17:34,359 Speaker 1: bringing us up to date on this big deal in 305 00:17:34,400 --> 00:17:38,040 Speaker 1: the gaming space. I mean, Ben sad tmt Annalys, Bloomberg Intelligence, Matt, 306 00:17:38,320 --> 00:17:40,040 Speaker 1: I got, I guess, I gotta. I mean, if you're 307 00:17:40,040 --> 00:17:43,639 Speaker 1: still there, are you a gamer too? Yes? Three years 308 00:17:43,640 --> 00:17:48,320 Speaker 1: gaming I started actually on the Commodore sixty four playing 309 00:17:48,359 --> 00:17:52,800 Speaker 1: space Taxi and Mule, and I've noticed a lot of 310 00:17:52,840 --> 00:17:54,840 Speaker 1: these games are coming back now you can get them 311 00:17:54,880 --> 00:17:57,800 Speaker 1: on your phone. That to me is an interesting thing 312 00:17:58,000 --> 00:18:02,480 Speaker 1: that these um vent games are coming back. Oh yes, look, 313 00:18:02,640 --> 00:18:05,400 Speaker 1: especially the indie companies. They are smaller ones. They make 314 00:18:05,600 --> 00:18:07,920 Speaker 1: games like that because the cord of love of resources. 315 00:18:07,960 --> 00:18:11,160 Speaker 1: And that's why you see Netflix, even Netflix getting into that. So, yes, 316 00:18:11,280 --> 00:18:13,720 Speaker 1: those are coming back because they have a lot of 317 00:18:13,760 --> 00:18:17,880 Speaker 1: interesting stolis there. Very cool. Okay, Paul, you're not a gamer, 318 00:18:18,040 --> 00:18:20,879 Speaker 1: of course not. I'm an adult. Okay, I bet you 319 00:18:20,880 --> 00:18:23,480 Speaker 1: would like Mule. I'm gonna show you Mule during the 320 00:18:23,520 --> 00:18:25,719 Speaker 1: break and then we'll see if, um, if you can 321 00:18:25,760 --> 00:18:27,879 Speaker 1: get into it. It's really it's a market. Okay. I 322 00:18:28,040 --> 00:18:35,960 Speaker 1: aged out after Atari. How about that? The Goldman sacks 323 00:18:36,040 --> 00:18:39,439 Speaker 1: that I grew up with and I competed against was 324 00:18:39,760 --> 00:18:44,280 Speaker 1: investment banking and investment banking, and that was basically and 325 00:18:44,400 --> 00:18:46,720 Speaker 1: bankers and traders, bankers and traders. But since the Great 326 00:18:47,000 --> 00:18:50,040 Speaker 1: was running it then so John Whitehead, uh, it might 327 00:18:50,080 --> 00:18:53,280 Speaker 1: even been like yeah, probably Core designed for a while there. 328 00:18:53,359 --> 00:18:56,320 Speaker 1: I'm going back in the day. Um but they've always 329 00:18:56,359 --> 00:18:59,520 Speaker 1: been the big bank, the big trading desk. But really 330 00:18:59,560 --> 00:19:02,440 Speaker 1: since Great Financial Crisis, they've been really branching out into 331 00:19:02,560 --> 00:19:05,440 Speaker 1: more consumer businesses. And I saw them some news there 332 00:19:05,720 --> 00:19:09,600 Speaker 1: Goldman adds GM credit cards to its Marcus consumer business. 333 00:19:09,920 --> 00:19:12,199 Speaker 1: I just shook my head. But what happened to my 334 00:19:12,200 --> 00:19:15,000 Speaker 1: old Goldman sex? All right? Shanani Basket, Wall Street reporter 335 00:19:15,040 --> 00:19:17,760 Speaker 1: for Bloomberg News. She joins the shore. She follows the 336 00:19:17,880 --> 00:19:21,920 Speaker 1: Wall Street beat closely. Goldman's continuing to expand out its 337 00:19:21,960 --> 00:19:25,000 Speaker 1: consumer business, right, yeah, listen, this is the second big 338 00:19:25,040 --> 00:19:29,840 Speaker 1: partnership that Goldman is announcing here with General Motors. Of course, 339 00:19:29,880 --> 00:19:32,480 Speaker 1: we know they had that big relationship with Apple before. 340 00:19:32,840 --> 00:19:35,680 Speaker 1: What you're seeing here is Goldman start to branch into 341 00:19:35,720 --> 00:19:39,160 Speaker 1: new places, so card business. To what extent do they 342 00:19:39,160 --> 00:19:43,040 Speaker 1: have their ambition to launch their own credit card without 343 00:19:43,119 --> 00:19:45,880 Speaker 1: the co brand? And also what does General Motors give them? 344 00:19:45,920 --> 00:19:48,600 Speaker 1: General Motors already has billions of customers in their own 345 00:19:48,640 --> 00:19:52,119 Speaker 1: credit card business, so now by partner with Goldman, the 346 00:19:52,160 --> 00:19:54,240 Speaker 1: hope is they could really expand on the millions of 347 00:19:54,240 --> 00:19:58,000 Speaker 1: customers they've been able to amass with Apple. To your point, 348 00:19:58,320 --> 00:20:01,680 Speaker 1: General Motors was previews a slee An investment banking client, 349 00:20:01,760 --> 00:20:06,560 Speaker 1: which they then converted now into what you're what do 350 00:20:06,560 --> 00:20:08,640 Speaker 1: you not buy? It, Matt, is that you know what, 351 00:20:08,840 --> 00:20:13,560 Speaker 1: grass grows faster than Goldman Sacks business. This has been 352 00:20:13,680 --> 00:20:17,080 Speaker 1: years in the making, and they seem to have done 353 00:20:17,440 --> 00:20:22,080 Speaker 1: very little with Apple. I mean, they could take over 354 00:20:22,200 --> 00:20:25,359 Speaker 1: your life if they wanted to. Apple and Goldman Sacks 355 00:20:25,400 --> 00:20:30,040 Speaker 1: together you could do everything one stop shop, um from 356 00:20:30,400 --> 00:20:34,840 Speaker 1: savings to checking to investment, credit card, I mean, you 357 00:20:34,960 --> 00:20:38,520 Speaker 1: name it. They're just not doing it. Marcus has taken 358 00:20:38,600 --> 00:20:41,760 Speaker 1: forever to get off the ground. Forever and ever and 359 00:20:41,840 --> 00:20:44,000 Speaker 1: ever and ever we've been talking about it. You were 360 00:20:44,040 --> 00:20:47,960 Speaker 1: in high school to that that's not true. I mean, 361 00:20:48,000 --> 00:20:50,240 Speaker 1: in the last couple of years they have and remember 362 00:20:50,280 --> 00:20:53,560 Speaker 1: these are very highly regulated businesses. To your point, Goldman 363 00:20:53,640 --> 00:20:57,080 Speaker 1: makes a couple hundred million a quarter on their consumer 364 00:20:57,119 --> 00:21:01,240 Speaker 1: business Revolute and and twenty six they came out of 365 00:21:01,280 --> 00:21:05,240 Speaker 1: the gates running, ready to win, picking up customers by 366 00:21:05,280 --> 00:21:09,440 Speaker 1: the millions. And where are they based in Europe exactly. 367 00:21:09,480 --> 00:21:11,280 Speaker 1: So it's been a lot harder in the US for 368 00:21:11,320 --> 00:21:14,080 Speaker 1: the big banks to really get their technology in line, 369 00:21:14,160 --> 00:21:18,480 Speaker 1: which is what makes these partnerships and these efforts so interesting. 370 00:21:18,680 --> 00:21:21,640 Speaker 1: They just need to buy the technology. They already run 371 00:21:21,680 --> 00:21:24,480 Speaker 1: the government, right, so they don't need to worry about regulations. 372 00:21:24,760 --> 00:21:27,879 Speaker 1: The government buys them. Let's the idea of the government 373 00:21:27,920 --> 00:21:31,160 Speaker 1: allowing Goldman Sacks to buy like a Stripe, for example, 374 00:21:31,240 --> 00:21:33,960 Speaker 1: which is a lot more back end infrastructure. The biggest 375 00:21:34,000 --> 00:21:37,960 Speaker 1: payments companies in the US, Matt, the biggest tech companies 376 00:21:38,480 --> 00:21:42,960 Speaker 1: are all back end financial, back of credit cards. They're 377 00:21:43,000 --> 00:21:45,320 Speaker 1: not consumer facing businesses. All Right, we're gonna have the 378 00:21:45,359 --> 00:21:51,159 Speaker 1: Super Bowl this year where so Fi Stadium in Los Angeles. 379 00:21:51,200 --> 00:21:54,879 Speaker 1: So far as a brand, I know, so it's a 380 00:21:54,920 --> 00:21:57,520 Speaker 1: brand that Goldman Sacks knows. So to Matt's point, I'm 381 00:21:57,520 --> 00:21:59,680 Speaker 1: almost at the point by a former set Goldman Sacks banker. 382 00:22:01,880 --> 00:22:05,760 Speaker 1: There's a dollar say it's only ten billion dollar company, 383 00:22:05,840 --> 00:22:08,159 Speaker 1: so you buy that with a couple of partners pocket change. 384 00:22:08,359 --> 00:22:10,160 Speaker 1: But at least that gets you a brand awareness, because 385 00:22:10,200 --> 00:22:11,399 Speaker 1: I think the MAT's point, one of the things that 386 00:22:11,400 --> 00:22:15,800 Speaker 1: I'm surprised about is the brand value. The brand awareness 387 00:22:15,800 --> 00:22:19,119 Speaker 1: of Marcus, I think is still obscure to what you 388 00:22:19,160 --> 00:22:22,560 Speaker 1: can get from it. They just launched investing products. They 389 00:22:22,560 --> 00:22:24,720 Speaker 1: have had that savings product. This is the year that 390 00:22:24,760 --> 00:22:27,560 Speaker 1: they're probably going to open a checking account. Once they 391 00:22:27,600 --> 00:22:29,719 Speaker 1: open that checking account is when they can be a 392 00:22:29,720 --> 00:22:32,800 Speaker 1: real full scale bank for consumers in a bigger way. 393 00:22:32,880 --> 00:22:35,560 Speaker 1: But to your point, they are not that yet by 394 00:22:35,600 --> 00:22:37,399 Speaker 1: any means. I mean, remember when we all got so 395 00:22:37,440 --> 00:22:39,840 Speaker 1: excited about the Apple card before it came out. Oh 396 00:22:39,880 --> 00:22:41,840 Speaker 1: my god, Apple is going to release a credit card. 397 00:22:42,080 --> 00:22:44,920 Speaker 1: This is gonna change finance forever. I gotta get one. 398 00:22:44,960 --> 00:22:46,359 Speaker 1: Do you have an Apple card? Do you have an 399 00:22:46,359 --> 00:22:49,280 Speaker 1: Apple Card? No? Neither. When I use Apple Pay, neither 400 00:22:49,359 --> 00:22:51,880 Speaker 1: do I. Of course we all use Apple Pay. But look, 401 00:22:51,920 --> 00:22:54,280 Speaker 1: they could just do so much. The first site that 402 00:22:54,320 --> 00:22:59,240 Speaker 1: I made the Apple page paying my subway. Listen there. 403 00:22:59,560 --> 00:23:01,639 Speaker 1: The car business is a harder one too, because you 404 00:23:01,680 --> 00:23:05,240 Speaker 1: have a Chase Sapphire, or you have City Group, the 405 00:23:05,240 --> 00:23:08,520 Speaker 1: biggest card tossure in the world, your Barclays. You're competing, 406 00:23:08,520 --> 00:23:11,439 Speaker 1: and they both offer better rewards programs than Apple and 407 00:23:11,440 --> 00:23:15,359 Speaker 1: Goldman Sax. Why not, because it's hard to think of 408 00:23:15,359 --> 00:23:18,080 Speaker 1: offering a good rewards program. The numbers are there, all 409 00:23:18,119 --> 00:23:19,679 Speaker 1: you have to do is beat the numbers, and they 410 00:23:19,720 --> 00:23:21,920 Speaker 1: make a ton on interest rates already. They don't need 411 00:23:21,960 --> 00:23:24,800 Speaker 1: to worry about the padding they have that well. Actually, 412 00:23:24,840 --> 00:23:26,760 Speaker 1: the interest rates are not making anything off of right 413 00:23:26,760 --> 00:23:28,959 Speaker 1: now because people are paying back their cards. But this 414 00:23:29,040 --> 00:23:31,160 Speaker 1: is this is why this is now into this year 415 00:23:31,280 --> 00:23:33,760 Speaker 1: a big deal because people are starting to borrow again 416 00:23:34,040 --> 00:23:36,080 Speaker 1: at a much bigger scale than they're taking out any 417 00:23:36,080 --> 00:23:38,480 Speaker 1: other type of loan. And so to get into it 418 00:23:38,560 --> 00:23:41,640 Speaker 1: now is a good time. But yes, it is an 419 00:23:41,640 --> 00:23:44,800 Speaker 1: extraordinarily hard time to get in the card business because 420 00:23:44,840 --> 00:23:48,200 Speaker 1: people want rewards. They want them and all forms, shapes 421 00:23:48,240 --> 00:23:52,560 Speaker 1: and sizes for different products. They want them in crypto sometimes. 422 00:23:52,920 --> 00:23:55,600 Speaker 1: So if you can't give your client everything, then can 423 00:23:55,680 --> 00:23:58,560 Speaker 1: you compete in the space is a perfectly legitimate question. 424 00:23:58,840 --> 00:24:02,159 Speaker 1: All right. I think we're saying basically, this isn't a 425 00:24:02,160 --> 00:24:05,240 Speaker 1: typical Goldman business because it hasn't just got that that 426 00:24:05,520 --> 00:24:08,919 Speaker 1: traction that you would expect, uh, this Goldman effort to do. 427 00:24:09,000 --> 00:24:10,880 Speaker 1: But we'll see how they continue to invest in it, 428 00:24:11,080 --> 00:24:13,359 Speaker 1: and we'll see how it continues to grow into the business. 429 00:24:13,359 --> 00:24:16,040 Speaker 1: Shanelli Bassek, thanks for joining us Wall Street reporter for 430 00:24:16,080 --> 00:24:19,200 Speaker 1: Bloomberg News. Joining us here in a Bloomberg interactive Brooker Studio. 431 00:24:20,000 --> 00:24:23,120 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 432 00:24:23,119 --> 00:24:26,919 Speaker 1: subscribe and listen to interviews with Apple Podcasts or whatever 433 00:24:27,000 --> 00:24:30,679 Speaker 1: podcast platform you prefer. I'm Matt Miller, I'm on Twitter 434 00:24:30,920 --> 00:24:34,439 Speaker 1: at Matt Miller three. Put on false Sweeney. I'm on 435 00:24:34,440 --> 00:24:37,359 Speaker 1: Twitter at pt Sweeney Before the podcast. You can always 436 00:24:37,400 --> 00:24:39,240 Speaker 1: catch us worldwide at Bloomberg Radio