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 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:18,560 Speaker 1: Eastern on Applecarclay and Android Auto with the Bloomberg Business App. 4 00:00:18,640 --> 00:00:21,920 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,960 --> 00:00:23,120 Speaker 1: us live on YouTube. 6 00:00:23,920 --> 00:00:29,080 Speaker 2: Tesla shareholders approved Elon Musk one trillion dollar pay package, 7 00:00:29,160 --> 00:00:32,360 Speaker 2: and we had some comments from Tesla General counsel Brandon Earhart. 8 00:00:32,400 --> 00:00:33,000 Speaker 1: Let's take a listen. 9 00:00:33,680 --> 00:00:34,000 Speaker 3: Six. 10 00:00:34,080 --> 00:00:38,720 Speaker 4: Then finally on the twenty twenty five CEO Performance Award 11 00:00:38,800 --> 00:00:43,479 Speaker 4: to our founder and CEO Elon Musk, with over seventy 12 00:00:43,520 --> 00:00:45,760 Speaker 4: five percent voting in favor. 13 00:00:47,280 --> 00:00:47,880 Speaker 5: Approved. 14 00:00:49,200 --> 00:00:52,000 Speaker 2: All right, that's a good date for Elon Musk. That 15 00:00:52,080 --> 00:00:55,840 Speaker 2: was Tesla General counsel Brandon Earhart to see what this 16 00:00:55,880 --> 00:00:58,600 Speaker 2: means for the company, for the stock. That's checking with 17 00:00:58,600 --> 00:01:01,600 Speaker 2: Stephen Man. He's Global Autos and Industrials research channels for 18 00:01:01,600 --> 00:01:05,800 Speaker 2: Bloomberg Intelligence. So Steve, a good day for Elon Musk. 19 00:01:06,120 --> 00:01:09,479 Speaker 2: What does it mean for the company here to get 20 00:01:09,480 --> 00:01:10,400 Speaker 2: this pay package through? 21 00:01:11,440 --> 00:01:14,360 Speaker 5: Yeah, he did seem pretty upbeat last night at the 22 00:01:14,360 --> 00:01:18,200 Speaker 5: shareholder meeting, you know he was, I mean, he was 23 00:01:18,240 --> 00:01:20,760 Speaker 5: talking a lot about what the future looks like it 24 00:01:20,880 --> 00:01:26,119 Speaker 5: almost feel like I'm watching like a Star Trek episode 25 00:01:26,959 --> 00:01:31,200 Speaker 5: when he talked about robots. I think it's it's a 26 00:01:31,360 --> 00:01:34,520 Speaker 5: it's a big relief for the company as well as 27 00:01:34,560 --> 00:01:37,880 Speaker 5: the shareholders. Looks like a lot of shareholders. Given that 28 00:01:37,920 --> 00:01:42,480 Speaker 5: about seventy five percent voted for the pay package. I 29 00:01:42,480 --> 00:01:46,760 Speaker 5: think now the company and he can actually start focusing 30 00:01:47,319 --> 00:01:51,160 Speaker 5: on delivering those metrics, which is, you know, eight and 31 00:01:51,200 --> 00:01:55,000 Speaker 5: a half trillion dollar market cap in ten years, you know, 32 00:01:55,120 --> 00:02:00,680 Speaker 5: four hundred billion ebitda during that time. So there's a 33 00:02:00,680 --> 00:02:02,080 Speaker 5: lot of things he needs to do. 34 00:02:03,480 --> 00:02:06,160 Speaker 6: So those are the very specific financial metrics that he 35 00:02:06,280 --> 00:02:08,519 Speaker 6: needs to achieve if he wants to get paid what 36 00:02:08,680 --> 00:02:11,840 Speaker 6: shareholders have approved. But in terms of actually getting there, 37 00:02:12,600 --> 00:02:17,000 Speaker 6: Musk made some big promises. Human annoid robots will be 38 00:02:17,040 --> 00:02:21,120 Speaker 6: doing a lot of beyond human precision surgery, for instance, 39 00:02:21,320 --> 00:02:23,760 Speaker 6: and robots will play big role in setting up basis 40 00:02:23,760 --> 00:02:27,560 Speaker 6: on the Moon and in Mars, and what of the 41 00:02:27,680 --> 00:02:31,000 Speaker 6: which of the predictions that he make sound reasonable at 42 00:02:31,000 --> 00:02:32,520 Speaker 6: this point. 43 00:02:33,040 --> 00:02:38,480 Speaker 5: I mean, robotics is an evolution. I think there is 44 00:02:38,520 --> 00:02:42,639 Speaker 5: still a lot of technical challenges to make the humanoid 45 00:02:42,880 --> 00:02:46,720 Speaker 5: work just as well as a human so we're you know, 46 00:02:47,080 --> 00:02:50,400 Speaker 5: at BI we think humanoid robots are actually a little 47 00:02:50,400 --> 00:02:54,400 Speaker 5: bit ways off. But what was really interesting and kind 48 00:02:54,400 --> 00:02:58,480 Speaker 5: of you know, caught my attention was that he wanted 49 00:02:58,520 --> 00:03:02,920 Speaker 5: to build well, he's currently designing his own chips for autonomy, 50 00:03:02,919 --> 00:03:07,000 Speaker 5: but he also wants to build his own fab for autonomy. 51 00:03:07,040 --> 00:03:10,760 Speaker 5: And that's really a direct competition to companies like in 52 00:03:10,840 --> 00:03:16,680 Speaker 5: Nvidia and and some of the fab companies like TSMC. Now, 53 00:03:17,000 --> 00:03:19,040 Speaker 5: his his chips are a little bit different. It's a 54 00:03:19,200 --> 00:03:24,560 Speaker 5: special purpose chip where villas in videos. AI chips are 55 00:03:24,720 --> 00:03:30,160 Speaker 5: made to accommodate many AI applications, is specifically for autonomy 56 00:03:30,240 --> 00:03:32,320 Speaker 5: like robots and cars. 57 00:03:33,120 --> 00:03:35,800 Speaker 2: All Right, the math I do is, you know, in 58 00:03:35,880 --> 00:03:38,520 Speaker 2: order for mister Muff to achieve his full trillion dollars 59 00:03:38,560 --> 00:03:40,680 Speaker 2: in comp the market cap I have to get to 60 00:03:40,800 --> 00:03:42,800 Speaker 2: like eight and a half trillion. It's one and a 61 00:03:42,840 --> 00:03:45,760 Speaker 2: half trillion now, so that's incremental seven trillion dollars in 62 00:03:45,840 --> 00:03:47,840 Speaker 2: market cap he thinks he can create and if he 63 00:03:47,840 --> 00:03:49,480 Speaker 2: wants to take a billion of it, that's fine with me. 64 00:03:49,720 --> 00:03:51,320 Speaker 2: I'll take the rest. And that's I think that's kind 65 00:03:51,320 --> 00:03:54,560 Speaker 2: of what shareholders we're saying with seventy percent of them, 66 00:03:54,600 --> 00:03:57,840 Speaker 2: seventy five percent of them are propec Yeah for a trillion. 67 00:03:57,880 --> 00:03:59,119 Speaker 2: So I mean, you know, if he's going to mix 68 00:03:59,440 --> 00:04:02,400 Speaker 2: incremental you know, seven trillion dollars for shareholders, he can 69 00:04:02,400 --> 00:04:03,840 Speaker 2: have a trillion as far as he says. 70 00:04:03,840 --> 00:04:06,720 Speaker 5: But look good like Remember he's not taking the cap 71 00:04:06,800 --> 00:04:09,200 Speaker 5: A lot of it's stopped. Right at the end of 72 00:04:09,200 --> 00:04:12,480 Speaker 5: the day. He just wanted greater control over the company, 73 00:04:12,560 --> 00:04:15,680 Speaker 5: twenty five percent control of the company. But he has 74 00:04:15,720 --> 00:04:16,880 Speaker 5: to deliver, Yeah. 75 00:04:16,680 --> 00:04:18,720 Speaker 2: Ask to deliver. So how do we think about this? 76 00:04:19,080 --> 00:04:22,200 Speaker 2: Even the car business now, Steve, it's almost an afterthought 77 00:04:22,240 --> 00:04:25,360 Speaker 2: for this entire story. How do you how are investors 78 00:04:25,360 --> 00:04:27,799 Speaker 2: thinking about kind of what is the core business today? 79 00:04:28,560 --> 00:04:31,279 Speaker 5: Look, I think, yeah, you're right, a lot of people 80 00:04:31,279 --> 00:04:34,800 Speaker 5: think their thought, but I actually have a different view. 81 00:04:35,520 --> 00:04:39,160 Speaker 5: What he's really trying to achieve is physical AI. No 82 00:04:39,320 --> 00:04:42,040 Speaker 5: quite different than what you know, what Google is doing 83 00:04:42,040 --> 00:04:45,440 Speaker 5: on chat EPT is doing. He's actually you know, creating 84 00:04:45,640 --> 00:04:54,359 Speaker 5: AI through cars, mobile devices, cars and robots. So you know, 85 00:04:54,520 --> 00:05:00,920 Speaker 5: for him to proliferate proliferate autonomy physical AI, he still 86 00:05:00,960 --> 00:05:03,240 Speaker 5: needs to produce cars, right. I don't think he's going 87 00:05:03,320 --> 00:05:07,120 Speaker 5: to license the full cell driving to any other automakers. 88 00:05:07,440 --> 00:05:10,520 Speaker 5: So for him to proliferate autonomy, he does have to 89 00:05:10,560 --> 00:05:13,320 Speaker 5: produce cars. Look, and then that's why he's also very 90 00:05:13,360 --> 00:05:17,480 Speaker 5: focused on, you know, improving the design of the OPTIMUSM 91 00:05:17,600 --> 00:05:20,960 Speaker 5: robot so he can actually you know, build more and 92 00:05:21,520 --> 00:05:25,559 Speaker 5: sell more to the market. Yeah, cars is important still, 93 00:05:26,960 --> 00:05:27,920 Speaker 5: that's the understandable. 94 00:05:28,400 --> 00:05:31,320 Speaker 2: So important, like spin out the car business and just 95 00:05:31,400 --> 00:05:33,800 Speaker 2: have that happens and just have the rest of it 96 00:05:33,839 --> 00:05:36,840 Speaker 2: is kind of this is the this is Elon Inc. 97 00:05:36,880 --> 00:05:39,240 Speaker 2: If you want to buy into all the stuff about 98 00:05:39,240 --> 00:05:41,280 Speaker 2: Elon and then here's your way. 99 00:05:41,360 --> 00:05:42,440 Speaker 5: I'm so glad you bring that up. 100 00:05:42,440 --> 00:05:44,640 Speaker 6: Because there was also a proposal seven that was voted 101 00:05:44,680 --> 00:05:47,240 Speaker 6: on at the shareholders meeting Steve, where it was a 102 00:05:47,240 --> 00:05:49,880 Speaker 6: non binding request for the board to authorize an investment 103 00:05:49,960 --> 00:05:53,400 Speaker 6: in x Ai, which is essentially Elon Musk's side gig Right, 104 00:05:53,560 --> 00:05:56,640 Speaker 6: the company that holds x as well as the rock chatbot. 105 00:05:57,600 --> 00:06:01,080 Speaker 6: That gives the board the option to invent us Tesla's 106 00:06:01,120 --> 00:06:03,920 Speaker 6: money into x Ai. What does that tell us about 107 00:06:04,040 --> 00:06:05,920 Speaker 6: where Tesla's headed as a company. 108 00:06:07,040 --> 00:06:10,840 Speaker 5: That it's an interesting proposal, and look, they they are 109 00:06:10,920 --> 00:06:13,800 Speaker 5: gonna still probably take some time to think about that. 110 00:06:14,320 --> 00:06:17,000 Speaker 5: But it's all interrelated, right, A lot of the stuff 111 00:06:17,000 --> 00:06:20,840 Speaker 5: that he talked about last night about autonomy, optimist optimist 112 00:06:20,920 --> 00:06:24,320 Speaker 5: robots from Tesla and how those robots can be used 113 00:06:24,880 --> 00:06:29,360 Speaker 5: in Mars. Uh, they're all connected. All AI is connected, 114 00:06:29,600 --> 00:06:33,360 Speaker 5: so you know what you know, does it make sense 115 00:06:33,839 --> 00:06:37,159 Speaker 5: for it to for Tesla to invest in x Ai. Yeah. 116 00:06:37,160 --> 00:06:40,080 Speaker 5: I think there's a lot of technology that can actually 117 00:06:40,080 --> 00:06:45,080 Speaker 5: be shared between the different AI platforms. And you know, 118 00:06:45,240 --> 00:06:49,200 Speaker 5: right currently, if you know, Tesla vehicles do come with Grock, 119 00:06:49,720 --> 00:06:53,520 Speaker 5: which is part of x AI. So you know, if 120 00:06:53,600 --> 00:06:58,279 Speaker 5: if vehicles are autonomous, uh, you know, Rock with and 121 00:06:58,000 --> 00:07:00,599 Speaker 5: and and an other assistant would be very very useful 122 00:07:01,080 --> 00:07:02,480 Speaker 5: in a vehicle for the passenger. 123 00:07:03,160 --> 00:07:05,600 Speaker 6: We have a listener a question coming in Ryan from 124 00:07:05,600 --> 00:07:08,480 Speaker 6: New York City asks what's the likelihood Tessa can compete 125 00:07:08,520 --> 00:07:11,160 Speaker 6: on the global level versus Chinese robot companies? 126 00:07:12,320 --> 00:07:12,600 Speaker 7: Is it? 127 00:07:13,160 --> 00:07:15,280 Speaker 6: Maybe it's the leader in the US, but where does 128 00:07:15,280 --> 00:07:18,000 Speaker 6: it stand versus those in Asia? 129 00:07:18,320 --> 00:07:20,679 Speaker 5: Uh? Uh, you know, we we actually publish a report 130 00:07:20,680 --> 00:07:23,640 Speaker 5: on human our robots, but specifically going on in manufacturing. 131 00:07:23,720 --> 00:07:28,440 Speaker 5: What we've learned is that Chinese are very very far ahead. Uh. 132 00:07:28,480 --> 00:07:34,960 Speaker 5: They have a number of startups working on humanoid robotics, 133 00:07:35,320 --> 00:07:38,720 Speaker 5: you know, trying to improve dexterity, trying to improve the 134 00:07:38,760 --> 00:07:43,640 Speaker 5: technology stack. Uh, it will be. It will be interesting 135 00:07:43,680 --> 00:07:47,000 Speaker 5: to see. And uh, I think some people have written 136 00:07:47,000 --> 00:07:50,040 Speaker 5: out the Chinese, but the fact that they have a 137 00:07:50,080 --> 00:07:54,240 Speaker 5: lot of investment and a lot of startups looking at this, Uh, 138 00:07:54,280 --> 00:07:57,200 Speaker 5: there'll be there will be a formidable uh competitor. 139 00:07:57,840 --> 00:07:58,520 Speaker 7: Stay with us. 140 00:07:58,640 --> 00:08:00,040 Speaker 2: More from Bloomberg Intelligence come. 141 00:08:00,160 --> 00:08:00,920 Speaker 8: Up after this. 142 00:08:04,560 --> 00:08:08,240 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 143 00:08:08,320 --> 00:08:11,400 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 144 00:08:11,440 --> 00:08:14,720 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 145 00:08:14,800 --> 00:08:18,320 Speaker 1: you get your podcasts, or watch us live on YouTube. 146 00:08:19,560 --> 00:08:21,400 Speaker 2: Are you a gamer child? 147 00:08:21,600 --> 00:08:24,560 Speaker 6: No, but my children are, and that irritates me to no. 148 00:08:24,720 --> 00:08:25,480 Speaker 7: End, does it? 149 00:08:25,520 --> 00:08:25,600 Speaker 2: So? 150 00:08:25,640 --> 00:08:28,000 Speaker 5: Are they like are they on their phone? 151 00:08:28,040 --> 00:08:28,520 Speaker 6: On their phone? 152 00:08:28,600 --> 00:08:28,920 Speaker 2: Usually? 153 00:08:29,040 --> 00:08:29,320 Speaker 5: Okay? 154 00:08:29,360 --> 00:08:32,600 Speaker 2: So this grand theft Auto thing for people, I guess 155 00:08:32,640 --> 00:08:34,240 Speaker 2: it's a piece of news. 156 00:08:34,120 --> 00:08:35,960 Speaker 6: Right, Yeah, No, it's a big deal because this is 157 00:08:35,960 --> 00:08:38,040 Speaker 6: something they've been working on for a long time. And 158 00:08:38,080 --> 00:08:41,080 Speaker 6: this is the sixth part of the franchise, the sixth 159 00:08:41,120 --> 00:08:43,840 Speaker 6: iteration of it, and it's supposed to take place in Miami. 160 00:08:43,880 --> 00:08:46,040 Speaker 6: But a fictional version of Miami, and it's supposed to 161 00:08:46,080 --> 00:08:49,400 Speaker 6: be like the Hot Game when it eventually comes out. 162 00:08:49,520 --> 00:08:50,440 Speaker 5: That's the issue. 163 00:08:50,480 --> 00:08:54,440 Speaker 6: We don't know whether they're going to meet their deadline, 164 00:08:54,480 --> 00:08:55,720 Speaker 6: and they've delayed it twice. 165 00:08:55,840 --> 00:08:57,920 Speaker 2: All right, let's talk to somebody who knows the stuff 166 00:08:57,920 --> 00:08:59,720 Speaker 2: for a living. I guess that's the best we can 167 00:08:59,760 --> 00:09:03,439 Speaker 2: do here, Nathan Natu Technology Research Channels for Bloomberg Intelligency 168 00:09:03,520 --> 00:09:06,840 Speaker 2: Joints is here. Grand Theft Auto postponed again. 169 00:09:07,480 --> 00:09:08,040 Speaker 5: Take two. 170 00:09:08,280 --> 00:09:12,680 Speaker 2: The stock is down almost nine percent on this news here, Nathan, 171 00:09:12,840 --> 00:09:13,640 Speaker 2: what do you make of it? 172 00:09:15,520 --> 00:09:19,440 Speaker 3: Yeah, so that's a good point on the GTA or 173 00:09:19,520 --> 00:09:23,280 Speaker 3: Grand Theft Auto six iteration being a big factor actually 174 00:09:23,280 --> 00:09:26,800 Speaker 3: in today's sell off. And I think you know, GTA six, 175 00:09:27,120 --> 00:09:30,280 Speaker 3: let's call it in toort has been the prospects of 176 00:09:30,320 --> 00:09:34,000 Speaker 3: it rather has been priced into Take two shares. And 177 00:09:34,400 --> 00:09:36,600 Speaker 3: last I check, you know, Take two is trading at 178 00:09:36,640 --> 00:09:41,040 Speaker 3: about sixty percent premium to the only other big US publishers, 179 00:09:41,400 --> 00:09:45,520 Speaker 3: Electronic Arts. And that's sixty percent premium and even higher 180 00:09:45,559 --> 00:09:48,680 Speaker 3: compared to an average of about ten peers. And so 181 00:09:49,080 --> 00:09:53,240 Speaker 3: you know, valuations and expectations were high up until that point. 182 00:09:53,440 --> 00:09:56,800 Speaker 3: So Obviously, valuations were going to be a bit sensitive 183 00:09:56,840 --> 00:09:59,360 Speaker 3: to any sort of downside risk, and as we have 184 00:09:59,440 --> 00:10:02,160 Speaker 3: seen today is the delay of GTA six. But I 185 00:10:02,200 --> 00:10:05,760 Speaker 3: don't think this second delay officially is necessarily going to 186 00:10:05,880 --> 00:10:08,520 Speaker 3: do any more impact than the first delay, because the 187 00:10:08,559 --> 00:10:12,760 Speaker 3: first delay actually skipped the holiday season. This time round, 188 00:10:12,840 --> 00:10:16,440 Speaker 3: it pulls the launch timing closer to the holiday season 189 00:10:16,720 --> 00:10:19,640 Speaker 3: and actually a season that usually see a lot more 190 00:10:19,640 --> 00:10:21,360 Speaker 3: activity on the player's side. 191 00:10:21,840 --> 00:10:24,080 Speaker 6: Okay, Yeah, to your point, the original release state was 192 00:10:24,080 --> 00:10:26,120 Speaker 6: back in Fall twenty twenty five, then it was delayed 193 00:10:26,200 --> 00:10:28,800 Speaker 6: until May twenty twenty six, and now it's been delayed 194 00:10:28,800 --> 00:10:32,199 Speaker 6: by another six months to November twenty twenty six. Nathan, 195 00:10:32,200 --> 00:10:34,280 Speaker 6: I'm going to ask the dumb question. If they delayed 196 00:10:34,280 --> 00:10:36,920 Speaker 6: it twice, they might delay it again. Why are they 197 00:10:36,960 --> 00:10:40,560 Speaker 6: delaying this game? What's what's proving to be difficult or 198 00:10:40,559 --> 00:10:41,520 Speaker 6: problematic about this? 199 00:10:43,160 --> 00:10:43,400 Speaker 5: Yeah. 200 00:10:43,480 --> 00:10:47,240 Speaker 3: So, according to the words by the company themselves, they 201 00:10:47,240 --> 00:10:50,120 Speaker 3: want to give the publisher the developers rather a bit 202 00:10:50,160 --> 00:10:51,440 Speaker 3: more time to polish the game. 203 00:10:51,840 --> 00:10:55,480 Speaker 8: Game like GTA, GTA to take a step back. 204 00:10:55,559 --> 00:10:58,840 Speaker 3: Grand Theft also is easily the top five selling games 205 00:10:59,200 --> 00:11:03,120 Speaker 3: franchise of all time globally, so this game has quite 206 00:11:03,120 --> 00:11:04,680 Speaker 3: a bit of a cult following. 207 00:11:04,960 --> 00:11:06,040 Speaker 8: You know, he has sold. 208 00:11:05,760 --> 00:11:09,040 Speaker 3: More than four hundred and fifteen million units, right, and 209 00:11:09,120 --> 00:11:12,320 Speaker 3: so I think it doesn't make a big difference whether 210 00:11:12,360 --> 00:11:16,040 Speaker 3: it's delayed, you know, in this round of delay, because 211 00:11:17,000 --> 00:11:20,280 Speaker 3: you know, this game, regardless of when this launch is gonna, 212 00:11:20,800 --> 00:11:23,760 Speaker 3: it's going to bring back those core Lawyer fan base. 213 00:11:23,880 --> 00:11:27,080 Speaker 3: And we're talking about fifteen to twenty millions of people 214 00:11:27,120 --> 00:11:30,640 Speaker 3: playing GTA five, the current version, every month. 215 00:11:31,679 --> 00:11:34,040 Speaker 8: So you know that that proves my point. 216 00:11:34,080 --> 00:11:37,520 Speaker 3: And also, like you know, you know, launching in November, 217 00:11:37,559 --> 00:11:39,599 Speaker 3: which is the high sales season for any sort of 218 00:11:39,720 --> 00:11:42,640 Speaker 3: video games or any sort of products rather is actually 219 00:11:42,640 --> 00:11:45,440 Speaker 3: a better timing. And in my work in GTA six 220 00:11:45,520 --> 00:11:48,400 Speaker 3: favor In the end, I think, all. 221 00:11:48,360 --> 00:11:52,080 Speaker 2: Right, Nathan, in your world of online gaming, can you 222 00:11:52,200 --> 00:11:54,960 Speaker 2: size out how big this business is, because I think 223 00:11:54,960 --> 00:11:57,040 Speaker 2: a lot of people don't have a good idea just 224 00:11:57,040 --> 00:11:58,120 Speaker 2: how big the game? 225 00:11:58,160 --> 00:11:59,800 Speaker 6: It gets bigger than Hollywood? 226 00:11:59,840 --> 00:12:01,600 Speaker 5: Yeah, right, so how movie business? 227 00:12:01,760 --> 00:12:03,840 Speaker 2: Exactly how big is it? And kind of what's the 228 00:12:03,880 --> 00:12:05,840 Speaker 2: growth parameters for this industry? 229 00:12:07,400 --> 00:12:07,720 Speaker 8: Yeah? 230 00:12:07,760 --> 00:12:11,120 Speaker 3: So you know, the overall video game market is inching 231 00:12:11,200 --> 00:12:15,200 Speaker 3: towards like one hundred and eighty billion US dollars in 232 00:12:15,280 --> 00:12:19,280 Speaker 3: sales last year, and you know that is actually bigger 233 00:12:19,320 --> 00:12:25,680 Speaker 3: than films and you know other easily right, other entertainment 234 00:12:25,760 --> 00:12:27,120 Speaker 3: forms and GTA. 235 00:12:27,400 --> 00:12:29,040 Speaker 8: You know, if we assume that. 236 00:12:30,720 --> 00:12:34,720 Speaker 3: We assume that the GTA six cells about thirty five 237 00:12:34,760 --> 00:12:37,880 Speaker 3: to forty five million units, that's about two to three 238 00:12:37,880 --> 00:12:41,360 Speaker 3: billion US dollars in upfront revenue to the company. 239 00:12:41,600 --> 00:12:43,000 Speaker 8: And that's just one game. 240 00:12:43,400 --> 00:12:46,640 Speaker 6: Man eighteen to forty nine. Oh my god, it's just 241 00:12:46,760 --> 00:12:49,440 Speaker 6: the advertisers stream, is I guess? 242 00:12:49,559 --> 00:12:49,800 Speaker 7: Yeah? 243 00:12:49,840 --> 00:12:54,079 Speaker 2: Yeah, I mean I punk this pong count. 244 00:12:54,120 --> 00:12:58,080 Speaker 6: Sorry, no one's monetizing off pong anymore. Nathan, Do you 245 00:12:58,120 --> 00:12:58,800 Speaker 6: know what pong is? 246 00:13:00,760 --> 00:13:02,280 Speaker 8: Yeah? You mean like age cohort? 247 00:13:03,160 --> 00:13:05,520 Speaker 6: No, okay, so when we're showing our age. 248 00:13:05,240 --> 00:13:08,880 Speaker 2: Now, all right, So Nathan, for Take two, what's the 249 00:13:09,800 --> 00:13:12,880 Speaker 2: is it? Is that just really a play on Grand 250 00:13:12,920 --> 00:13:15,600 Speaker 2: Theft Auto? Is it that dependent on that game? 251 00:13:17,400 --> 00:13:17,600 Speaker 8: Yeah? 252 00:13:17,640 --> 00:13:21,040 Speaker 3: So Take two actually has a few other big franchises 253 00:13:21,120 --> 00:13:24,080 Speaker 3: under it spelt like red that Redemption for example, and 254 00:13:24,200 --> 00:13:27,760 Speaker 3: Take two is also big in sports game whether that's football, 255 00:13:28,280 --> 00:13:31,840 Speaker 3: uh and and so GT is that certainly the biggest game, 256 00:13:31,880 --> 00:13:35,080 Speaker 3: but it's not the only pieces of the parcel in 257 00:13:35,160 --> 00:13:38,200 Speaker 3: terms of how it is driving take to top top 258 00:13:38,240 --> 00:13:40,760 Speaker 3: line as well as bottom line. But it is certainly 259 00:13:40,840 --> 00:13:44,560 Speaker 3: going to be the biggest biggest game launch next year, 260 00:13:44,880 --> 00:13:46,079 Speaker 3: and that's coming from Take two. 261 00:13:46,120 --> 00:13:46,679 Speaker 8: And given the. 262 00:13:46,640 --> 00:13:50,120 Speaker 3: Game is actually in house, meaning it generates a lot 263 00:13:50,160 --> 00:13:53,000 Speaker 3: more to bottom line than games that are based on 264 00:13:53,040 --> 00:13:57,440 Speaker 3: third party intellectual property where a royalty payment is involved, 265 00:13:57,679 --> 00:14:01,000 Speaker 3: So you know, we can expect similar significant boost to 266 00:14:01,040 --> 00:14:03,720 Speaker 3: take to profits as well next year. And actually the 267 00:14:03,760 --> 00:14:07,520 Speaker 3: company is expecting to you know, generate positive free cash 268 00:14:07,520 --> 00:14:10,120 Speaker 3: flow again because they're currently running on negative. 269 00:14:11,440 --> 00:14:14,400 Speaker 6: Okay, I have a question here because usually when we 270 00:14:14,440 --> 00:14:15,959 Speaker 6: talk about Take two, I look at how the other 271 00:14:16,080 --> 00:14:18,959 Speaker 6: video game publishers are performing, and right away I thought, 272 00:14:19,000 --> 00:14:20,080 Speaker 6: oh check EA. 273 00:14:20,160 --> 00:14:21,280 Speaker 5: EA is barely moving. 274 00:14:21,280 --> 00:14:23,280 Speaker 6: But that's also because e A is going to be 275 00:14:23,360 --> 00:14:26,640 Speaker 6: bought out by private equity. Is take to a candidate 276 00:14:26,760 --> 00:14:27,720 Speaker 6: for a buyout. 277 00:14:29,640 --> 00:14:32,080 Speaker 3: So Take two is certainly a good candidate, and it 278 00:14:32,160 --> 00:14:34,360 Speaker 3: is actually the it would only be it would be 279 00:14:34,360 --> 00:14:39,480 Speaker 3: the only surviving US game publisher of scale if Take 280 00:14:39,520 --> 00:14:42,680 Speaker 3: two if the EA deal actually complete and goes through, 281 00:14:43,000 --> 00:14:45,160 Speaker 3: and EA is expecting that deal to close in the 282 00:14:45,280 --> 00:14:48,280 Speaker 3: April to June period next year, and EA is a 283 00:14:48,280 --> 00:14:52,280 Speaker 3: good candidate because he has a robust brought franchises and 284 00:14:52,720 --> 00:14:56,160 Speaker 3: obviously Grand Theft Auto is a game that has survived 285 00:14:56,160 --> 00:14:59,560 Speaker 3: more than two decades and it continued to attracts millions 286 00:14:59,600 --> 00:15:02,760 Speaker 3: of players. Actually, you know about fifteen and up million 287 00:15:02,840 --> 00:15:08,200 Speaker 3: of players every month, so you know, with attention increasingly 288 00:15:08,240 --> 00:15:12,400 Speaker 3: being scars, you know, games that continue to perform well 289 00:15:12,480 --> 00:15:15,680 Speaker 3: actually are games that were published six year or earlier. 290 00:15:16,080 --> 00:15:18,880 Speaker 3: So there's actually not a lot of room for brand 291 00:15:18,920 --> 00:15:21,240 Speaker 3: new games to grow in this market. In fact, new 292 00:15:21,320 --> 00:15:24,840 Speaker 3: Zoo actually mentioned that for brand new titles, only eight 293 00:15:24,880 --> 00:15:28,040 Speaker 3: percent of the gameplay hours are up for rep so 294 00:15:28,440 --> 00:15:32,600 Speaker 3: you know that just says like well established franchises with 295 00:15:32,640 --> 00:15:35,600 Speaker 3: a cup following certainly has its value. And we actually 296 00:15:35,640 --> 00:15:39,640 Speaker 3: saw ten cents investment in Ubisoft, you know, a French 297 00:15:39,880 --> 00:15:42,960 Speaker 3: game company in Tenson obviously needs to know. Introduction is 298 00:15:43,000 --> 00:15:47,160 Speaker 3: a tech giant in China and certainly a giant in gaming. Yeah, 299 00:15:47,240 --> 00:15:50,800 Speaker 3: they invested about you know, a few billion euros to 300 00:15:50,880 --> 00:15:55,320 Speaker 3: take a quarter of a subsidiary, subsidiary of Ubisoft that 301 00:15:55,440 --> 00:15:59,480 Speaker 3: actually owns you know, a quarter of ubisoft three most 302 00:15:59,520 --> 00:16:03,480 Speaker 3: value franchises. If you like Ninja's assasines. We're talking about 303 00:16:03,480 --> 00:16:07,040 Speaker 3: assassin crete here, we're talking about Tom Clancy and a 304 00:16:07,040 --> 00:16:11,360 Speaker 3: few shooter games. So there's definitely a general direction of 305 00:16:11,560 --> 00:16:16,040 Speaker 3: companies with resources eyeing companies with great ip if those 306 00:16:16,080 --> 00:16:19,440 Speaker 3: two do not currently exist together. And we certainly see 307 00:16:19,440 --> 00:16:23,480 Speaker 3: that a EA deals coming through kind of place into 308 00:16:23,520 --> 00:16:27,560 Speaker 3: the Saudi ambitions for esports and Saudi Prince, which is 309 00:16:27,680 --> 00:16:30,880 Speaker 3: you know, the chair of the sombern Will Fund there 310 00:16:31,120 --> 00:16:34,520 Speaker 3: is actually an avid gamer himself, and which I suspect 311 00:16:34,720 --> 00:16:36,800 Speaker 3: is one of the factors behind why. 312 00:16:36,720 --> 00:16:39,400 Speaker 8: EA is a good fit for the deal, because EA. 313 00:16:39,120 --> 00:16:42,880 Speaker 3: Has the most popular soccer game out there. Why I 314 00:16:42,920 --> 00:16:45,160 Speaker 3: say soccer because I'm in Europe right now, I need 315 00:16:45,160 --> 00:16:46,520 Speaker 3: to differentiate from football. 316 00:16:47,800 --> 00:16:50,920 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 317 00:16:54,840 --> 00:16:58,520 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 318 00:16:58,600 --> 00:17:02,000 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 319 00:17:02,120 --> 00:17:05,159 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 320 00:17:05,200 --> 00:17:08,200 Speaker 1: get your podcasts, or watch us live on YouTube. 321 00:17:09,600 --> 00:17:12,320 Speaker 2: Wendy's I guess the way Bloomberg News is reporting it. 322 00:17:12,359 --> 00:17:16,640 Speaker 2: They reported better than feared three cute results. So there's 323 00:17:16,640 --> 00:17:18,560 Speaker 2: some concern out there about the consumer, particularly on the 324 00:17:18,600 --> 00:17:22,000 Speaker 2: lower end of the consumer, and how that's impacting various industries, 325 00:17:22,040 --> 00:17:25,199 Speaker 2: including the food industry, the restaurant business. And so we 326 00:17:25,280 --> 00:17:27,280 Speaker 2: want to get the latest on what's happening out there 327 00:17:27,280 --> 00:17:29,800 Speaker 2: in the world of food and restaurants. We go to 328 00:17:29,800 --> 00:17:33,360 Speaker 2: Mike Keayln he covers the restaurants for Bloomberg Intelligence. Mike 329 00:17:34,680 --> 00:17:36,399 Speaker 2: talk to us about Wendy's. What did they say on 330 00:17:36,440 --> 00:17:38,840 Speaker 2: their call, what did you learn with their results? And 331 00:17:38,840 --> 00:17:40,240 Speaker 2: by the way, I'm a big fan of the bacon 332 00:17:40,280 --> 00:17:40,520 Speaker 2: a or. 333 00:17:43,520 --> 00:17:45,480 Speaker 7: Yeah, baconator is great, Chicken's great. 334 00:17:46,080 --> 00:17:49,960 Speaker 9: You know, historically Wendy's has been known for great food, 335 00:17:50,040 --> 00:17:54,120 Speaker 9: but their food has suffered over especially in the last 336 00:17:54,200 --> 00:17:59,440 Speaker 9: year or two, mainly because the previous management team, who 337 00:17:59,480 --> 00:18:02,679 Speaker 9: I said in a previous interview, lit this company on 338 00:18:02,760 --> 00:18:06,560 Speaker 9: fire and then headed for the excess like George Costanza 339 00:18:06,800 --> 00:18:10,240 Speaker 9: and Seinfeld, knocking over women and children on the way. 340 00:18:10,480 --> 00:18:14,199 Speaker 9: And you know, what they did was just flood the 341 00:18:14,280 --> 00:18:18,000 Speaker 9: system with ltos and it didn't give people system with 342 00:18:18,000 --> 00:18:23,000 Speaker 9: what limited time offers ultos And every two weeks there 343 00:18:23,040 --> 00:18:25,440 Speaker 9: was a new offer, a new value meal, a new 344 00:18:25,640 --> 00:18:29,480 Speaker 9: food item, and it didn't give them ability to market 345 00:18:29,480 --> 00:18:32,159 Speaker 9: it correctly, and people would come in and thinking they 346 00:18:32,160 --> 00:18:33,760 Speaker 9: were going to be able to get one item and 347 00:18:33,800 --> 00:18:36,399 Speaker 9: they'd have to switch to something else, right, and it 348 00:18:36,520 --> 00:18:40,440 Speaker 9: led to complexity in the store, poor operations, which led 349 00:18:40,440 --> 00:18:43,320 Speaker 9: to poor food quality, poor customer service. 350 00:18:43,280 --> 00:18:47,199 Speaker 7: Down the line. You know. So this company had a 351 00:18:47,240 --> 00:18:50,840 Speaker 7: tough quarter. It's going to have a tough fourth quarter 352 00:18:51,000 --> 00:18:53,480 Speaker 7: as well, but a lot of it is self inflicted. 353 00:18:53,520 --> 00:18:57,120 Speaker 9: They did speak about, you know, their expectation for low 354 00:18:57,160 --> 00:19:00,320 Speaker 9: income consumers to continue to be pressure. 355 00:19:01,560 --> 00:19:02,840 Speaker 7: In these next two quarters. 356 00:19:03,560 --> 00:19:06,879 Speaker 2: So I know for McDonald's the vast, vast majority of 357 00:19:06,920 --> 00:19:09,000 Speaker 2: their stores are franchise is that is that the case 358 00:19:09,040 --> 00:19:10,160 Speaker 2: for Wendy's as well? 359 00:19:11,320 --> 00:19:13,000 Speaker 7: Yeah, that's the case for Wendy's. 360 00:19:13,920 --> 00:19:16,040 Speaker 9: One of the things that they mentioned on the call 361 00:19:16,160 --> 00:19:18,479 Speaker 9: is that they're going to be closing you know, roughly 362 00:19:18,560 --> 00:19:21,800 Speaker 9: five percent of their store base in the coming quarters 363 00:19:21,920 --> 00:19:25,680 Speaker 9: because excuse me, because franchisees have been have not been 364 00:19:25,720 --> 00:19:28,760 Speaker 9: performing very well. Right, sales have created and when there's 365 00:19:28,760 --> 00:19:30,720 Speaker 9: a lot of operating leverage in this model when you're 366 00:19:30,720 --> 00:19:33,600 Speaker 9: a franchise ee, so when your sales decline, your margins 367 00:19:33,640 --> 00:19:34,879 Speaker 9: decline even faster. 368 00:19:35,119 --> 00:19:38,160 Speaker 7: So you know they're going to be closing a bunch of. 369 00:19:38,119 --> 00:19:41,840 Speaker 9: Stores, but we think that could actually accelerate the turnaround, right, 370 00:19:41,960 --> 00:19:45,520 Speaker 9: so as they close underperforming stores, this should boost sales 371 00:19:45,680 --> 00:19:47,520 Speaker 9: at the surrounding locations. 372 00:19:48,000 --> 00:19:49,879 Speaker 7: Uh and management has a pretty good plan. 373 00:19:50,119 --> 00:19:52,240 Speaker 9: You know, there's not a whole lot of they still 374 00:19:52,240 --> 00:19:54,200 Speaker 9: don't have a permanent CEO and there's not a lot 375 00:19:54,200 --> 00:19:57,760 Speaker 9: of restaurant experience at the top. That the interim CEO 376 00:19:58,680 --> 00:20:01,119 Speaker 9: was the CFO who was who came from outside of 377 00:20:01,119 --> 00:20:02,200 Speaker 9: the restaurant industry. 378 00:20:02,680 --> 00:20:04,400 Speaker 7: But we think he's pushing the right buttons. 379 00:20:04,400 --> 00:20:07,920 Speaker 9: I think hiring Greg Creed, who was the previous CEO 380 00:20:08,160 --> 00:20:11,639 Speaker 9: of Taco Bell and then Young Brands, arguably the QSR 381 00:20:11,760 --> 00:20:14,719 Speaker 9: goat to do some consulting work, I think is a 382 00:20:14,720 --> 00:20:16,840 Speaker 9: really good move. I think that's really going to help 383 00:20:16,880 --> 00:20:18,960 Speaker 9: their marketing. And it's a great brand that has a 384 00:20:19,040 --> 00:20:21,760 Speaker 9: lot of things that can market from the past, like 385 00:20:21,840 --> 00:20:25,480 Speaker 9: where's the beef? You know, and they're they're doing a 386 00:20:25,480 --> 00:20:27,639 Speaker 9: lot less lt O s and they're gonna work on 387 00:20:27,720 --> 00:20:28,960 Speaker 9: fixing the operations. 388 00:20:28,960 --> 00:20:30,920 Speaker 7: They're spending money on training. 389 00:20:30,680 --> 00:20:33,000 Speaker 9: Doing things that we think can really make a difference 390 00:20:33,000 --> 00:20:33,960 Speaker 9: in twenty twenty six. 391 00:20:34,400 --> 00:20:37,080 Speaker 2: You know, the Hamburger business has changed a lot since 392 00:20:37,080 --> 00:20:39,600 Speaker 2: I was a kid, when it was basically you know McDonald's, 393 00:20:40,640 --> 00:20:43,080 Speaker 2: you know, Burger King. Then Wendy's came along and that 394 00:20:43,359 --> 00:20:45,520 Speaker 2: was kind of it. Now you've got all these I 395 00:20:45,560 --> 00:20:47,439 Speaker 2: don't know what you guys call them, specialty burgers like 396 00:20:47,440 --> 00:20:50,520 Speaker 2: smash Burger five guys, all that kind of stuff. Shakeshack. 397 00:20:51,200 --> 00:20:52,760 Speaker 2: How's the burger business these days? 398 00:20:54,080 --> 00:20:54,280 Speaker 7: Man? 399 00:20:54,359 --> 00:20:57,919 Speaker 9: People love burgers, but you're right there is it is 400 00:20:57,960 --> 00:21:02,120 Speaker 9: a saturated market with all of those burger better chains. 401 00:21:03,600 --> 00:21:07,400 Speaker 9: You know, I think it's good for the overall industry 402 00:21:07,440 --> 00:21:09,840 Speaker 9: that Wendy's is closing some stores. Jack in a Box 403 00:21:09,920 --> 00:21:12,679 Speaker 9: is going to be closing some stores, right Like to me, 404 00:21:13,720 --> 00:21:16,159 Speaker 9: this is this is a part of the restaurant business 405 00:21:16,200 --> 00:21:21,399 Speaker 9: that's oversupplied and it's been growing faster than population growth. 406 00:21:21,440 --> 00:21:23,919 Speaker 7: And so to see some chain start. 407 00:21:23,880 --> 00:21:27,040 Speaker 9: To close some stores, you know, we think that's healthy 408 00:21:27,080 --> 00:21:29,800 Speaker 9: and we think it's going to improve results in the future. 409 00:21:30,080 --> 00:21:33,840 Speaker 2: How's the burger business been impacted by the cost of beef. 410 00:21:34,119 --> 00:21:36,400 Speaker 2: I've been reading that. You know, beef costs have been 411 00:21:36,400 --> 00:21:38,480 Speaker 2: elevated for a while now, So how are they dealing 412 00:21:38,520 --> 00:21:38,800 Speaker 2: with that? 413 00:21:40,080 --> 00:21:43,800 Speaker 9: Beef costs are a killer, especially if you're not able 414 00:21:43,840 --> 00:21:48,480 Speaker 9: to drive you know, traffic into your restaurants. So for 415 00:21:48,520 --> 00:21:52,840 Speaker 9: Wendy's franchisees, it's been absolutely crushing for them, right, they're 416 00:21:52,880 --> 00:21:56,439 Speaker 9: more than ninety five percent franchise So the corporation is 417 00:21:56,440 --> 00:21:57,879 Speaker 9: going to take a hit on the five percent of 418 00:21:57,920 --> 00:22:01,239 Speaker 9: stores or so that it owns, but most of the 419 00:22:01,280 --> 00:22:05,199 Speaker 9: inflation and the margin compression is going to come on 420 00:22:05,240 --> 00:22:08,640 Speaker 9: the franchise z side, and they're the ones that are struggling, 421 00:22:08,680 --> 00:22:10,959 Speaker 9: and they're the ones that are going to be closing 422 00:22:10,960 --> 00:22:11,440 Speaker 9: the stores. 423 00:22:12,320 --> 00:22:17,040 Speaker 2: What'sh where's the best value in your universe of restaurants, Mike? 424 00:22:18,560 --> 00:22:22,440 Speaker 7: Are you talking about the stocksfuscation? Yeah, well, this one 425 00:22:22,520 --> 00:22:23,240 Speaker 7: is interesting. 426 00:22:23,320 --> 00:22:28,760 Speaker 9: Right now, it's trading at ten times twenty twenty six EPs, right, 427 00:22:28,800 --> 00:22:31,879 Speaker 9: and historically these these names trade at fifteen to thirty 428 00:22:31,960 --> 00:22:35,919 Speaker 9: times because being a franchise chain, you know, you have 429 00:22:36,080 --> 00:22:38,600 Speaker 9: very it's very easy to predict your earnings and your 430 00:22:38,640 --> 00:22:42,520 Speaker 9: cash flow, right, and they're insulated against inflation against inflation, 431 00:22:43,119 --> 00:22:47,000 Speaker 9: so historically fifteen to twenty. So we think at some point, 432 00:22:47,080 --> 00:22:49,679 Speaker 9: when you know, ahead of the sales inflection that we 433 00:22:49,680 --> 00:22:53,680 Speaker 9: think is likely in the first quarter, that investors could 434 00:22:53,720 --> 00:22:55,880 Speaker 9: could look more closely at this name. 435 00:22:57,359 --> 00:23:02,040 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 436 00:23:02,240 --> 00:23:06,200 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 437 00:23:06,400 --> 00:23:09,679 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 438 00:23:09,760 --> 00:23:13,639 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 439 00:23:13,680 --> 00:23:16,960 Speaker 1: can also watch us live every weekday on YouTube and 440 00:23:17,160 --> 00:23:19,120 Speaker 1: always on the Bloomberg terminal