1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,880 Speaker 1: Eastern on Apple, 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 --> 00:00:23,520 Speaker 1: or watch us live on YouTube. 6 00:00:24,280 --> 00:00:27,440 Speaker 2: Lost in all the SpaceX discussion is that they made 7 00:00:27,480 --> 00:00:30,920 Speaker 2: it sixty billion dollar mm A trade today and it's like, 8 00:00:30,960 --> 00:00:32,040 Speaker 2: you don't even talk about it. 9 00:00:32,080 --> 00:00:35,280 Speaker 3: Well, partly because they had indicated before their IPO that 10 00:00:35,360 --> 00:00:38,199 Speaker 3: this was something that they acquired the rights for, so 11 00:00:38,400 --> 00:00:41,080 Speaker 3: now they've just kind of pulled the trigger on it. 12 00:00:41,080 --> 00:00:42,080 Speaker 4: All right, let's talk to somebody. 13 00:00:42,120 --> 00:00:43,800 Speaker 2: It's his job to know what's going on with the stuff. 14 00:00:44,360 --> 00:00:47,199 Speaker 2: Seth Fiegerman, Bloomberg AI team leader. I didn't know we 15 00:00:47,240 --> 00:00:49,120 Speaker 2: had an AI team leader, but we do, and it's. 16 00:00:48,960 --> 00:00:50,000 Speaker 5: Set That's awesome. 17 00:00:50,600 --> 00:00:53,239 Speaker 6: What is Cursor and why did SpaceX buy it? 18 00:00:53,520 --> 00:00:56,440 Speaker 4: Sure? Cursor is one of the leading startups that focuses 19 00:00:56,480 --> 00:01:00,480 Speaker 4: on AI codings, basically building AI tools that streamline process 20 00:01:00,520 --> 00:01:02,840 Speaker 4: of writing and debugging COG. You know, it's one of 21 00:01:02,920 --> 00:01:06,560 Speaker 4: the fastest growing startups in terms of the revenue run rate, 22 00:01:06,600 --> 00:01:08,400 Speaker 4: but it also faces a lot of competition with the 23 00:01:08,520 --> 00:01:11,240 Speaker 4: likes of Open AI and Anthropic, but it has historically 24 00:01:11,240 --> 00:01:14,520 Speaker 4: been quite beloved by coder's in Silicon Valley. I should 25 00:01:14,560 --> 00:01:16,640 Speaker 4: say historically this is really, you know, a three or 26 00:01:16,680 --> 00:01:19,480 Speaker 4: four year old company that just got bought for sixty 27 00:01:19,520 --> 00:01:22,399 Speaker 4: billion dollars. So quick turnaround, quick turnaround. 28 00:01:22,440 --> 00:01:25,640 Speaker 3: Indeed, So what does owning Cursor allow SpaceX to do 29 00:01:25,760 --> 00:01:26,839 Speaker 3: that it couldn't do before? 30 00:01:27,120 --> 00:01:28,640 Speaker 4: Yeah, I mean it's important to step back and think that, 31 00:01:28,720 --> 00:01:31,800 Speaker 4: you know, SpaceX merged with or require Elon Musk's AI 32 00:01:31,920 --> 00:01:35,240 Speaker 4: venture XAI, and since then has tried to position itself 33 00:01:35,280 --> 00:01:37,680 Speaker 4: as not just a rocket play but an AI play. 34 00:01:37,760 --> 00:01:40,000 Speaker 4: But today they really haven't made too much of a 35 00:01:40,120 --> 00:01:43,160 Speaker 4: dent in the AI landscape, and coging has really been 36 00:01:43,560 --> 00:01:46,880 Speaker 4: the most lucrative early market for these AI tools. Are 37 00:01:47,000 --> 00:01:49,639 Speaker 4: certain irony there. They're kind of disrupting their own folks 38 00:01:49,640 --> 00:01:51,760 Speaker 4: in their own backyard. But I think the bet here 39 00:01:51,840 --> 00:01:54,559 Speaker 4: is that bring Cursor in there, bring their talent in there, 40 00:01:54,800 --> 00:01:57,680 Speaker 4: and you can help supercharge SpaceX's own efforts to build 41 00:01:57,680 --> 00:01:59,680 Speaker 4: a more viable, credible AI product. 42 00:02:00,000 --> 00:02:05,000 Speaker 2: All right, I'm asking for all Cursor shareholders shared. Did 43 00:02:05,000 --> 00:02:07,680 Speaker 2: I sell my company for one hundred and thirty five 44 00:02:07,760 --> 00:02:11,320 Speaker 2: dollars stock or stock today. Do we know the terms? 45 00:02:11,880 --> 00:02:13,720 Speaker 4: I'm not sure we know at the moment, but the 46 00:02:13,720 --> 00:02:15,919 Speaker 4: deals should close in the third quarter. 47 00:02:17,160 --> 00:02:19,320 Speaker 2: I like the sixty billion dollars valuation one hundred and 48 00:02:19,320 --> 00:02:22,200 Speaker 2: thirty five dollars stock. Yeah, so I get the upside. 49 00:02:22,280 --> 00:02:25,400 Speaker 3: Well, let's see how good Cursor was at negotiating all this, Okay, 50 00:02:26,000 --> 00:02:26,440 Speaker 3: I mean. 51 00:02:26,840 --> 00:02:29,959 Speaker 2: Do we know how how M and A might figure 52 00:02:30,000 --> 00:02:31,480 Speaker 2: into their growth strategies? 53 00:02:31,520 --> 00:02:32,320 Speaker 3: Good question? Yeah. 54 00:02:32,320 --> 00:02:35,040 Speaker 4: Again, I think like they're trying to position themselves as 55 00:02:35,040 --> 00:02:36,520 Speaker 4: more of an AI company, and I think they're doing 56 00:02:36,520 --> 00:02:39,079 Speaker 4: that along two problems. One is three deals like this one, 57 00:02:39,080 --> 00:02:40,839 Speaker 4: and I would be shocked this is the last time 58 00:02:40,880 --> 00:02:43,360 Speaker 4: that we see them pursue an AI company to build 59 00:02:43,480 --> 00:02:45,480 Speaker 4: a real, credible and hoas product. The others through these 60 00:02:45,520 --> 00:02:47,520 Speaker 4: infrastructure tie ups that they're doing with the likes of 61 00:02:47,760 --> 00:02:50,639 Speaker 4: Anthropic and Google kind of using the chips and data 62 00:02:50,720 --> 00:02:52,680 Speaker 4: centers that they already have to make money while they 63 00:02:52,760 --> 00:02:54,880 Speaker 4: figure out how to build a credible AI product. 64 00:02:54,960 --> 00:02:58,520 Speaker 3: SpaceX is using cash an stock to buy Cursor. If 65 00:02:58,560 --> 00:03:01,200 Speaker 3: they're going to be buying more com companies, are we 66 00:03:01,240 --> 00:03:03,840 Speaker 3: going to see SpaceX. Taking on debt as well, you know, 67 00:03:03,960 --> 00:03:06,280 Speaker 3: selling bonds for instance, possible. 68 00:03:06,320 --> 00:03:07,720 Speaker 4: But again I think the fact that I just when 69 00:03:07,720 --> 00:03:09,919 Speaker 4: Public gives it a leg up on arrivals like Opening 70 00:03:10,000 --> 00:03:12,200 Speaker 4: I and Anthropic, as they compete not just for talent 71 00:03:12,280 --> 00:03:14,800 Speaker 4: but for acquisitions like this one, they have something they 72 00:03:14,880 --> 00:03:16,200 Speaker 4: can offer that other companies can't. 73 00:03:16,320 --> 00:03:19,240 Speaker 2: All right, you're you're the AI, dude. Where are we 74 00:03:19,360 --> 00:03:22,680 Speaker 2: on that spectrum of let's spend money, spend money, spend 75 00:03:22,680 --> 00:03:25,120 Speaker 2: money too. Now let's really see what we're getting in 76 00:03:25,160 --> 00:03:26,120 Speaker 2: return for that money. 77 00:03:26,200 --> 00:03:27,480 Speaker 4: I think we're still I think we're still in the 78 00:03:27,480 --> 00:03:30,000 Speaker 4: spend money spends going. But I will say what we 79 00:03:30,040 --> 00:03:33,240 Speaker 4: are starting to see is companies Opening Eye, Anthropic are 80 00:03:33,280 --> 00:03:36,160 Speaker 4: thinking about how much they're charging for this stuff across 81 00:03:36,240 --> 00:03:38,760 Speaker 4: across different spectrums. That includes sort of getting rid of 82 00:03:38,800 --> 00:03:40,240 Speaker 4: this all you can eat model where we just kind 83 00:03:40,280 --> 00:03:41,760 Speaker 4: of charge you a flat fee and then you kind 84 00:03:41,800 --> 00:03:43,160 Speaker 4: of use as much a as you want. Now they're 85 00:03:43,160 --> 00:03:45,280 Speaker 4: starting to charge based on the usage that you do, 86 00:03:45,400 --> 00:03:48,480 Speaker 4: or maybe they'll charge more money for premium subscriptions. So 87 00:03:48,840 --> 00:03:49,360 Speaker 4: where are we on? 88 00:03:49,560 --> 00:03:53,880 Speaker 2: So Anthropic and Opening Eye have also filed confidentially for 89 00:03:54,200 --> 00:03:56,040 Speaker 2: fish public ofference do we have any sense it's the 90 00:03:56,040 --> 00:03:57,160 Speaker 2: timing frives of those two. 91 00:03:57,040 --> 00:03:59,160 Speaker 4: Deals, you know, the most reason that we've reporters that 92 00:03:59,200 --> 00:04:01,920 Speaker 4: both were targeting the fall. Now, I should say that 93 00:04:01,960 --> 00:04:04,560 Speaker 4: could be fluid, but the fact that SpaceX is doing 94 00:04:04,600 --> 00:04:06,280 Speaker 4: so well right now in its early days, but the 95 00:04:06,280 --> 00:04:08,600 Speaker 4: fact that they're doing so well probably does open up 96 00:04:08,600 --> 00:04:11,760 Speaker 4: an opportunity for those companies to go public then or sooner. 97 00:04:12,000 --> 00:04:13,760 Speaker 4: You know, it's always a vibes thing on some level, 98 00:04:13,760 --> 00:04:16,000 Speaker 4: and this kind of creates a positive moment to try 99 00:04:16,040 --> 00:04:17,039 Speaker 4: to bring it to market sooner. 100 00:04:17,200 --> 00:04:19,680 Speaker 3: I go back to that idea that open AI's S 101 00:04:19,760 --> 00:04:22,800 Speaker 3: one filing indicated that it wasn't necessarily in a rush 102 00:04:22,839 --> 00:04:24,880 Speaker 3: to go public either. You know, it said that there 103 00:04:24,880 --> 00:04:26,760 Speaker 3: are things I could do as a private company. 104 00:04:26,760 --> 00:04:26,839 Speaker 7: That. 105 00:04:27,120 --> 00:04:30,160 Speaker 4: Yeah, I think that they probably were a bit more 106 00:04:30,360 --> 00:04:33,960 Speaker 4: explicit on that than Anthropic was. So it's certainly possible 107 00:04:34,080 --> 00:04:37,680 Speaker 4: that open ai pushes this. We don't have updated reporting 108 00:04:37,720 --> 00:04:40,640 Speaker 4: on that timetable yet, but they certainly indicated that perhaps 109 00:04:40,720 --> 00:04:43,560 Speaker 4: they could still do financing on the private market as 110 00:04:43,560 --> 00:04:44,960 Speaker 4: opposed to in the tap of the public market. But 111 00:04:45,000 --> 00:04:47,200 Speaker 4: at the end of the day, all these companies, including SpaceX, 112 00:04:47,440 --> 00:04:49,919 Speaker 4: are spending tens, if not hundreds of billions of dollars 113 00:04:49,920 --> 00:04:52,640 Speaker 4: on chips and data centers and talent. You need capital 114 00:04:52,680 --> 00:04:54,560 Speaker 4: for that, and public market is a good place for that. 115 00:04:55,080 --> 00:04:58,039 Speaker 8: Stay with us. More from Bloomberg Intelligence coming up after this. 116 00:05:01,800 --> 00:05:05,480 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 117 00:05:05,560 --> 00:05:08,640 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 118 00:05:08,680 --> 00:05:12,000 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 119 00:05:12,040 --> 00:05:15,360 Speaker 1: you get your podcasts, or watch us live on YouTube. 120 00:05:16,000 --> 00:05:18,279 Speaker 2: One of my favorite functions on the Bloomberg terminal is 121 00:05:18,400 --> 00:05:23,000 Speaker 2: rich go uric h. It's the best accounting for the 122 00:05:23,000 --> 00:05:27,000 Speaker 2: wealth of the wealthiest folks out there. The methodology is outstanding, 123 00:05:27,040 --> 00:05:32,600 Speaker 2: the data's outstanding. Elon Musk is number one, one point three. 124 00:05:33,320 --> 00:05:36,560 Speaker 2: Let's go exact here, one point two seven three trillion dollars. 125 00:05:36,880 --> 00:05:37,280 Speaker 6: Number one. 126 00:05:37,360 --> 00:05:39,599 Speaker 2: Number two is Larry Page of three hundred and thirteen billions, 127 00:05:40,200 --> 00:05:40,560 Speaker 2: which just. 128 00:05:40,520 --> 00:05:42,640 Speaker 8: So outpaces everyone else. It's laughable. 129 00:05:42,760 --> 00:05:44,840 Speaker 2: You're today He's up six hundred and fifty billion dollars. 130 00:05:44,920 --> 00:05:49,360 Speaker 2: That's representing the public markup and value of SpaceX here. 131 00:05:49,400 --> 00:05:53,200 Speaker 2: So the question is a trillionaire, I mean, what are 132 00:05:53,200 --> 00:05:56,440 Speaker 2: we doing here? What's the impact here Gutha mcconda, he 133 00:05:56,480 --> 00:05:58,560 Speaker 2: thinks about this stuff. He's a lecturer at the Yale 134 00:05:58,600 --> 00:06:02,760 Speaker 2: School of Management and he's the Blomberg Opinion contributor Waltham. 135 00:06:03,040 --> 00:06:06,159 Speaker 2: When you think Elon, you think about that wealth and 136 00:06:06,200 --> 00:06:08,440 Speaker 2: again number two is three hundred billion and he's at 137 00:06:08,480 --> 00:06:12,479 Speaker 2: one point three trillion. Put that in perspective, how do 138 00:06:12,480 --> 00:06:13,080 Speaker 2: you think about that? 139 00:06:14,240 --> 00:06:17,080 Speaker 9: I mean, just just imagine being the second wealthiest wealthiest 140 00:06:17,080 --> 00:06:19,200 Speaker 9: man in the world and thinking, Wow, I'm a trillion 141 00:06:19,240 --> 00:06:20,000 Speaker 9: dollars behind. 142 00:06:20,320 --> 00:06:21,599 Speaker 6: You got to feel for them, You got to feel 143 00:06:21,600 --> 00:06:23,000 Speaker 6: for him. Really, it seems seems awful. 144 00:06:23,920 --> 00:06:25,320 Speaker 10: So what does it mean for policy? 145 00:06:25,360 --> 00:06:27,520 Speaker 2: What does it mean for influence? 146 00:06:28,080 --> 00:06:28,520 Speaker 6: I don't know. 147 00:06:28,520 --> 00:06:31,240 Speaker 2: The numbers here are getting just you know, extraordinary. 148 00:06:32,080 --> 00:06:35,200 Speaker 9: Yeah, And I think we have to layer in that 149 00:06:35,279 --> 00:06:38,359 Speaker 9: the big difference between the Gargan Show and wealth of 150 00:06:38,400 --> 00:06:41,400 Speaker 9: today's sort of wealthiest people lens the equivalent one hundred 151 00:06:41,440 --> 00:06:43,200 Speaker 9: years ago in the Gilded Age, when you had people 152 00:06:43,200 --> 00:06:45,800 Speaker 9: with about the same level of GDP is. Back then, 153 00:06:45,800 --> 00:06:49,920 Speaker 9: there were profound normative constraints about you could you could 154 00:06:49,920 --> 00:06:53,000 Speaker 9: not be seen to use your wealth to just sort 155 00:06:53,000 --> 00:06:56,080 Speaker 9: of like drown the political system. However, much political influence 156 00:06:56,080 --> 00:06:58,760 Speaker 9: they had, there were limitations about what you could do 157 00:06:58,760 --> 00:07:00,040 Speaker 9: when you were sort of expected to give my I 158 00:07:00,080 --> 00:07:01,800 Speaker 9: need to charity and things like that. All of those 159 00:07:01,839 --> 00:07:05,520 Speaker 9: things have apparently fallen by the wayside. So the easiest 160 00:07:05,520 --> 00:07:08,440 Speaker 9: way to think about the level of Elon Musk's political power, 161 00:07:08,480 --> 00:07:12,040 Speaker 9: even apart from his work with the administration, is in 162 00:07:12,080 --> 00:07:14,960 Speaker 9: Ohio the most expensive Senate race of all time. The 163 00:07:15,000 --> 00:07:18,120 Speaker 9: two campaigns combined spent about one hundred and fifteen million. 164 00:07:17,840 --> 00:07:19,760 Speaker 6: Dollars, So that's a lot of money. 165 00:07:20,320 --> 00:07:24,080 Speaker 9: So that is about less than one percent of a 166 00:07:24,280 --> 00:07:29,320 Speaker 9: day to day random fluctuation in Elon Musk's network, so 167 00:07:29,600 --> 00:07:32,280 Speaker 9: he can buy he can spend more money than two 168 00:07:32,320 --> 00:07:35,440 Speaker 9: senate campaigns combined, and the most the powerful, most expensive 169 00:07:35,440 --> 00:07:37,960 Speaker 9: Senate campaign in history. About as casually as you or 170 00:07:38,000 --> 00:07:41,800 Speaker 9: I buy a cup of coffee or soda. If you 171 00:07:41,880 --> 00:07:45,520 Speaker 9: are a politician and you and you're thinking about what 172 00:07:45,800 --> 00:07:47,760 Speaker 9: political stances you should take or how you should shape 173 00:07:47,760 --> 00:07:50,760 Speaker 9: government baction, if that's not top of your mind, you 174 00:07:50,800 --> 00:07:51,920 Speaker 9: should get out of the business. 175 00:07:52,720 --> 00:07:55,600 Speaker 3: Okay, Well, you've given us a lot to think about here. 176 00:07:55,640 --> 00:07:57,400 Speaker 3: And one thing that I did like about your column 177 00:07:57,480 --> 00:08:00,440 Speaker 3: is that you point out these megabillionaires. And I think 178 00:08:00,440 --> 00:08:03,320 Speaker 3: according to Rich God, there's maybe like twenty odd people 179 00:08:03,400 --> 00:08:04,840 Speaker 3: who have who are worth. 180 00:08:04,640 --> 00:08:06,040 Speaker 8: At least one hundred billion dollars. 181 00:08:06,040 --> 00:08:09,160 Speaker 3: So let's just call them the mega billionaires in one trillionaire. 182 00:08:09,920 --> 00:08:13,240 Speaker 3: They run companies, they own companies, and those companies employ 183 00:08:13,360 --> 00:08:15,600 Speaker 3: a lot of people, and a lot of those people 184 00:08:15,640 --> 00:08:19,360 Speaker 3: reach out to you for advice, and as you put it, 185 00:08:19,360 --> 00:08:21,320 Speaker 3: the conversation always goes like this. These are people who 186 00:08:21,320 --> 00:08:24,240 Speaker 3: have accomplished a lot of things, and they're very successful 187 00:08:24,280 --> 00:08:26,200 Speaker 3: what they do, but right now they're struggling in this 188 00:08:26,280 --> 00:08:27,760 Speaker 3: company that they work for. 189 00:08:28,480 --> 00:08:30,760 Speaker 8: Why is that? And what do you tell them? 190 00:08:31,080 --> 00:08:34,880 Speaker 9: Because when you operated this stratosphere of wealth and power 191 00:08:34,920 --> 00:08:37,560 Speaker 9: and influence, we should stop thinking about you like a 192 00:08:37,559 --> 00:08:41,440 Speaker 9: private citizen. You're a king and you're surrounded by a court, 193 00:08:41,600 --> 00:08:44,520 Speaker 9: and there are people around you whose only desire in life, 194 00:08:44,840 --> 00:08:47,320 Speaker 9: whose only goal in life is to please you. 195 00:08:47,920 --> 00:08:48,959 Speaker 6: That's being a court here. 196 00:08:49,440 --> 00:08:51,160 Speaker 9: So you know, I talk to people who you know, 197 00:08:51,160 --> 00:08:54,400 Speaker 9: they've been army special forces or very senior executives, and 198 00:08:54,440 --> 00:08:56,960 Speaker 9: they go to these companies and they're like, nothing makes sense. 199 00:08:57,120 --> 00:09:00,600 Speaker 9: I have been trained to succeed, but I don't even 200 00:09:00,600 --> 00:09:02,400 Speaker 9: know what success means. And I said, that's right, because 201 00:09:02,400 --> 00:09:04,760 Speaker 9: you've always been trained success means winning a war or 202 00:09:04,800 --> 00:09:09,640 Speaker 9: making a profit. Success means keeping the king happy, that's 203 00:09:09,640 --> 00:09:12,760 Speaker 9: what it means. And that's a completely different way of 204 00:09:12,800 --> 00:09:15,080 Speaker 9: looking at the world. And so now you have these people. 205 00:09:15,440 --> 00:09:18,000 Speaker 9: They have the power and resources of a nation state. 206 00:09:18,040 --> 00:09:20,040 Speaker 9: In fact, most of the nation states in the world 207 00:09:20,200 --> 00:09:23,040 Speaker 9: don't have the resources of someone like Elon Musk, you know, 208 00:09:23,160 --> 00:09:25,040 Speaker 9: and it changes everything. 209 00:09:25,440 --> 00:09:28,480 Speaker 2: You know, I was thinking, Gotham, just when you're speaking here, well, 210 00:09:28,520 --> 00:09:30,840 Speaker 2: he's got to answer to a shareholders. And then I'm like, no, 211 00:09:30,920 --> 00:09:32,959 Speaker 2: he doesn't because he's got the super voting stock. 212 00:09:33,200 --> 00:09:34,160 Speaker 10: So there goes that argument. 213 00:09:34,240 --> 00:09:37,400 Speaker 8: Nominally he might, but in practice, in reality, he doesn't. 214 00:09:38,800 --> 00:09:40,480 Speaker 9: So go, yeah, that's right and in a real sense, 215 00:09:40,640 --> 00:09:45,560 Speaker 9: So like there's this wonderful term post economic right, if 216 00:09:45,800 --> 00:09:48,360 Speaker 9: Elon Musk fails to answer the shareholders and they sell 217 00:09:48,400 --> 00:09:51,800 Speaker 9: the stock and his net worth goes down by seventy 218 00:09:51,840 --> 00:09:55,480 Speaker 9: five percent, he'll still have three hundred billion dollars. 219 00:09:55,600 --> 00:09:56,720 Speaker 6: I'm sure he'll be okay. 220 00:09:58,760 --> 00:10:02,160 Speaker 3: Yeah, I mean, although for those who are keeping score 221 00:10:02,400 --> 00:10:04,640 Speaker 3: that that's not okay with them. I mean, so you 222 00:10:04,640 --> 00:10:06,360 Speaker 3: don't get to that level without keeping score. 223 00:10:06,840 --> 00:10:08,120 Speaker 6: So I think that's completely right. 224 00:10:08,160 --> 00:10:10,360 Speaker 9: You keep you know, keeping score, and it is striking 225 00:10:10,440 --> 00:10:12,559 Speaker 9: right that like that, it seems like the one thing 226 00:10:12,600 --> 00:10:15,559 Speaker 9: that they can't buy is enough. But let me put 227 00:10:15,559 --> 00:10:18,480 Speaker 9: it differently. At that level, I think keeping score isn't 228 00:10:18,520 --> 00:10:20,760 Speaker 9: just about the number on the Bloomberg Billionaires list. 229 00:10:21,400 --> 00:10:22,560 Speaker 6: It's about power. 230 00:10:23,200 --> 00:10:26,080 Speaker 9: Right, you have transcended with the things where the things 231 00:10:26,080 --> 00:10:28,600 Speaker 9: you can where you can buy material things. What you 232 00:10:28,640 --> 00:10:31,880 Speaker 9: can buy are governments or immunity from the law, or 233 00:10:31,960 --> 00:10:34,800 Speaker 9: just the fulfillment of your every whim, no matter what it. 234 00:10:34,800 --> 00:10:36,280 Speaker 6: Is, that what that might be. 235 00:10:36,880 --> 00:10:39,840 Speaker 9: And at that point, the amounts of money that you 236 00:10:39,960 --> 00:10:42,760 Speaker 9: have can translate to power in ways that we just 237 00:10:43,040 --> 00:10:45,040 Speaker 9: haven't seen in democratic societies before. 238 00:10:46,040 --> 00:10:48,160 Speaker 2: Is there any I'm not to say there's a problem, 239 00:10:48,200 --> 00:10:49,760 Speaker 2: so I'm not going to asay for a solution, but 240 00:10:50,120 --> 00:10:54,520 Speaker 2: is there any way that you think society may change 241 00:10:54,640 --> 00:10:57,040 Speaker 2: or bend or try to deal with some of this 242 00:10:57,960 --> 00:11:01,040 Speaker 2: newfound extraordinary wealth and influence? 243 00:11:01,800 --> 00:11:04,280 Speaker 9: There is because we've done this before, right, the United 244 00:11:04,280 --> 00:11:06,960 Speaker 9: States has dealt with people of this kind of wealth 245 00:11:07,000 --> 00:11:10,640 Speaker 9: and power relative to society, not in ansolute terms. Before 246 00:11:10,800 --> 00:11:13,600 Speaker 9: Theodore Roosevelt did that with JP Morgan, and you know, 247 00:11:13,640 --> 00:11:15,280 Speaker 9: the anti trust people did that with John D. 248 00:11:15,360 --> 00:11:18,000 Speaker 6: Rockefeller. And there are two big lessons that we should 249 00:11:18,000 --> 00:11:18,560 Speaker 6: take away from that. 250 00:11:18,679 --> 00:11:21,959 Speaker 9: Right One is that however powerful, wealthy and powerful these 251 00:11:21,960 --> 00:11:25,960 Speaker 9: people are, when the government, backed by the people, decides 252 00:11:26,000 --> 00:11:28,560 Speaker 9: to go and say do things, the government is still 253 00:11:28,559 --> 00:11:31,720 Speaker 9: the government. And in a democratic republic like the United States, 254 00:11:31,800 --> 00:11:34,920 Speaker 9: the people still rule, not individual wealthy, not in certain 255 00:11:34,920 --> 00:11:37,600 Speaker 9: individual oligarchists. But the second thing to remember is that 256 00:11:37,679 --> 00:11:40,720 Speaker 9: over the long term, that outcome was much better for 257 00:11:40,760 --> 00:11:42,839 Speaker 9: the wealthy people than the fulfillment. 258 00:11:42,320 --> 00:11:42,920 Speaker 6: Of their whims. 259 00:11:43,640 --> 00:11:46,240 Speaker 9: Right, would you rather live in a state like Russia 260 00:11:46,320 --> 00:11:49,319 Speaker 9: that bends to the whims of you know, whatever the wealth, 261 00:11:49,640 --> 00:11:51,840 Speaker 9: the wealth the handful of wealthiest people who around the state. 262 00:11:51,960 --> 00:11:53,800 Speaker 9: Would you rather live in the United States? The answers, 263 00:11:53,800 --> 00:11:56,640 Speaker 9: you would rather live in the United States. It hard, 264 00:11:56,720 --> 00:11:59,600 Speaker 9: as it is to might to hear. Right constraints can 265 00:11:59,600 --> 00:12:01,800 Speaker 9: be good for you, even if you're a trillion error. 266 00:12:01,840 --> 00:12:04,640 Speaker 9: And democratic constraints aren't just good for the whole society, 267 00:12:04,840 --> 00:12:06,800 Speaker 9: They'll end up being good for the wealthiest members of 268 00:12:06,840 --> 00:12:07,160 Speaker 9: it too. 269 00:12:07,760 --> 00:12:10,480 Speaker 3: Gotam, have you gotten any feedback on writing this column? 270 00:12:10,520 --> 00:12:13,000 Speaker 3: I'm wondering if any readers have reached out to you 271 00:12:13,040 --> 00:12:14,040 Speaker 3: and what they've said. 272 00:12:14,720 --> 00:12:17,400 Speaker 9: More than any other column I've written for Bloomberg Actually, 273 00:12:17,880 --> 00:12:20,360 Speaker 9: and so far, I would say of people who have 274 00:12:20,440 --> 00:12:24,000 Speaker 9: reached out to me directly, the result the response has 275 00:12:24,000 --> 00:12:25,560 Speaker 9: been sort of enormously positive. 276 00:12:26,080 --> 00:12:28,080 Speaker 6: Of people who responded. 277 00:12:27,559 --> 00:12:29,960 Speaker 9: On Twitter who seem to be big fans of Elon Muss, 278 00:12:30,080 --> 00:12:32,200 Speaker 9: let's just say that they were not so positive. 279 00:12:32,840 --> 00:12:35,800 Speaker 8: Stay with us. More from Bloomberg Intelligence coming up after this. 280 00:12:39,600 --> 00:12:43,240 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 281 00:12:43,320 --> 00:12:46,400 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 282 00:12:46,400 --> 00:12:49,679 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 283 00:12:49,720 --> 00:12:52,800 Speaker 1: you get your podcasts, or watch us live on YouTube. 284 00:12:53,640 --> 00:12:55,360 Speaker 2: Stuck ale of retail Here, we just got through a 285 00:12:55,400 --> 00:12:57,600 Speaker 2: lot of the earnings from the retailers. They was kind 286 00:12:57,600 --> 00:13:00,480 Speaker 2: of bringing up the rear their different calendars. Here, Bloomberg Intelligence, 287 00:13:00,520 --> 00:13:03,800 Speaker 2: take it a survey. I'm looking at Prime Day deals 288 00:13:03,880 --> 00:13:06,079 Speaker 2: and there's a lot to talk about there. I want 289 00:13:06,080 --> 00:13:09,560 Speaker 2: to talk about how AI influences how we shop. 290 00:13:09,559 --> 00:13:10,600 Speaker 6: Who do we talk to about that? 291 00:13:10,640 --> 00:13:11,600 Speaker 10: We talked to put them goil. 292 00:13:11,920 --> 00:13:14,040 Speaker 2: She covers all all the e commerce and the retailers 293 00:13:14,040 --> 00:13:15,840 Speaker 2: for Bloomberg Intelligence. 294 00:13:17,120 --> 00:13:17,440 Speaker 7: Put them. 295 00:13:17,480 --> 00:13:19,760 Speaker 2: I know you have a new survey out here. What 296 00:13:19,800 --> 00:13:23,080 Speaker 2: did you find here? What you're looking to find? 297 00:13:24,240 --> 00:13:27,959 Speaker 7: People are still interested in deals in shopping Amazon's Prime Day, 298 00:13:28,000 --> 00:13:30,600 Speaker 7: which comes earlier this year. It comes in June versus 299 00:13:30,720 --> 00:13:33,800 Speaker 7: July last year, so part of two Q not three 300 00:13:33,920 --> 00:13:37,920 Speaker 7: Q in terms of their financials. I think what we 301 00:13:38,040 --> 00:13:41,040 Speaker 7: found just confirmed what we believed, which is that more 302 00:13:41,080 --> 00:13:43,880 Speaker 7: than every deals matter today, especially in the face of 303 00:13:43,960 --> 00:13:47,240 Speaker 7: rising inflation where you have tariffs and higher gas prices, 304 00:13:47,480 --> 00:13:50,600 Speaker 7: consumers are looking to find ways to stretch their dollars, 305 00:13:50,920 --> 00:13:53,640 Speaker 7: and more and more are looking to shop on Prime 306 00:13:53,720 --> 00:13:54,720 Speaker 7: Day than last year. 307 00:13:55,640 --> 00:13:57,360 Speaker 3: This is a dumb question, but I'm going to ask 308 00:13:57,400 --> 00:13:59,480 Speaker 3: it anyway. It's called Prime Day, and Amazon has that 309 00:13:59,600 --> 00:14:01,360 Speaker 3: Prime loyalty program. 310 00:14:01,480 --> 00:14:03,439 Speaker 8: But do people who shop Prime Day? 311 00:14:03,440 --> 00:14:07,199 Speaker 3: Are they all Prime Members or is there a significant 312 00:14:07,280 --> 00:14:10,000 Speaker 3: number that actually has not signed on to the program 313 00:14:10,080 --> 00:14:12,480 Speaker 3: yet And we'll do so because of these offers. 314 00:14:13,679 --> 00:14:16,439 Speaker 7: No dumb question, but the answer is Prime Day is 315 00:14:16,480 --> 00:14:19,400 Speaker 7: for Prime Members, so to take advantage of the deals, 316 00:14:19,440 --> 00:14:22,400 Speaker 7: you have to be a Prime Member. So Amazon does 317 00:14:22,520 --> 00:14:25,480 Speaker 7: have over two hundred million Prime members around the world 318 00:14:25,480 --> 00:14:27,760 Speaker 7: that will be taking advantage of these deals. But it 319 00:14:27,840 --> 00:14:30,840 Speaker 7: is also a time where many people sign up for 320 00:14:31,000 --> 00:14:33,760 Speaker 7: deals that don't have the membership. Some of them sign 321 00:14:33,840 --> 00:14:35,840 Speaker 7: up to take advantage of the deals and cancel, and 322 00:14:35,960 --> 00:14:38,720 Speaker 7: many of them do stay on. In fact, in our survey, 323 00:14:38,760 --> 00:14:40,800 Speaker 7: that was one of the questions we asked is do 324 00:14:40,920 --> 00:14:43,720 Speaker 7: you have a Prime membership? And if not, are you 325 00:14:43,840 --> 00:14:46,720 Speaker 7: planning to get one? And the answer was very consistent 326 00:14:46,760 --> 00:14:48,800 Speaker 7: with last year that there is a select group of 327 00:14:48,840 --> 00:14:52,080 Speaker 7: respondents that plan to get the Prime membership and hold 328 00:14:52,120 --> 00:14:55,040 Speaker 7: it indefinitely, just growing that Prime member base, which is 329 00:14:55,040 --> 00:14:56,640 Speaker 7: always a key win for Amazon. 330 00:14:56,960 --> 00:14:59,440 Speaker 2: All Right, yesterday I pulled to John Tucker. I said, 331 00:14:59,600 --> 00:15:03,200 Speaker 2: you know what, I need a powerwasher for my back patio. 332 00:15:03,480 --> 00:15:06,000 Speaker 8: So it sounds like you could borrow that from him. 333 00:15:06,160 --> 00:15:08,120 Speaker 2: I could probably borrow from John Tarker. So instead of 334 00:15:08,160 --> 00:15:10,040 Speaker 2: going to Google, I just went into Amazon dot com 335 00:15:10,040 --> 00:15:12,920 Speaker 2: search bar, power washer, boom. A lot of stuff comes up, 336 00:15:13,200 --> 00:15:14,280 Speaker 2: a lot of good descriptions. 337 00:15:14,280 --> 00:15:15,000 Speaker 10: I found on Boom. 338 00:15:15,040 --> 00:15:17,640 Speaker 2: Didn't even go to search. And it's coming tomorrow. 339 00:15:17,360 --> 00:15:18,440 Speaker 10: For those that care. 340 00:15:19,200 --> 00:15:21,360 Speaker 5: You didn't want to wait for Prime Day now, I'm 341 00:15:21,360 --> 00:15:24,760 Speaker 5: not just I don't know. I want to ride away. 342 00:15:25,160 --> 00:15:30,520 Speaker 5: AI punam. How are people using AI for shopping? How 343 00:15:30,560 --> 00:15:31,920 Speaker 5: are retailers using AI? 344 00:15:33,000 --> 00:15:35,600 Speaker 7: Yeah? I think Amazon is furthest along when you think 345 00:15:35,600 --> 00:15:38,040 Speaker 7: about how a retailer is using AI. You know what 346 00:15:38,080 --> 00:15:40,000 Speaker 7: you just explained about the search bar. I think what 347 00:15:40,040 --> 00:15:42,520 Speaker 7: many people still don't know is the Amazon search bar 348 00:15:42,600 --> 00:15:45,080 Speaker 7: is no longer just in search bar. It's an AI 349 00:15:45,360 --> 00:15:48,960 Speaker 7: powered agent led tool, which means if you don't have 350 00:15:49,000 --> 00:15:50,680 Speaker 7: to no longer go in the search bar like you 351 00:15:50,720 --> 00:15:54,000 Speaker 7: did and say powerwasher, you can say I'm looking to 352 00:15:54,120 --> 00:15:56,520 Speaker 7: clean the bricks or the paper outside of my house, 353 00:15:56,520 --> 00:15:59,560 Speaker 7: and I want the strongest powersher, and it will provide 354 00:15:59,560 --> 00:16:02,440 Speaker 7: you with an answer. Not only that when you get 355 00:16:02,480 --> 00:16:05,240 Speaker 7: to it, you can go ahead and say what was 356 00:16:05,440 --> 00:16:08,920 Speaker 7: the cheapest price that this power washer sold in the 357 00:16:09,000 --> 00:16:12,000 Speaker 7: last three months six months? And it will give you 358 00:16:12,040 --> 00:16:15,560 Speaker 7: a price chart. Then you can go ahead and further say, okay, 359 00:16:15,640 --> 00:16:19,720 Speaker 7: when this power washer drops to this price, go ahead 360 00:16:19,720 --> 00:16:22,160 Speaker 7: and purchase and long behold. If it drops at that 361 00:16:22,200 --> 00:16:23,920 Speaker 7: price next week, you'll have it at your door without 362 00:16:23,960 --> 00:16:26,920 Speaker 7: you having to go back. Well, that's really really further along. 363 00:16:27,200 --> 00:16:29,560 Speaker 2: I thought I was like doing really well, Yes, it's 364 00:16:29,560 --> 00:16:32,240 Speaker 2: just going into Amazon search, But apparently put them says 365 00:16:32,240 --> 00:16:32,880 Speaker 2: I could do a lot better. 366 00:16:32,960 --> 00:16:34,800 Speaker 3: Yeah, you could make it work for you as opposed 367 00:16:34,800 --> 00:16:38,240 Speaker 3: to doing the legwork yourself. Given all of this put them, 368 00:16:38,280 --> 00:16:40,440 Speaker 3: how are competitors responding. 369 00:16:40,800 --> 00:16:43,840 Speaker 8: We've seen how Prime Day and you know the fact 370 00:16:43,840 --> 00:16:44,360 Speaker 8: that it's an. 371 00:16:44,240 --> 00:16:49,360 Speaker 3: Annual sales extravaganza has really forced other companies, like the 372 00:16:49,400 --> 00:16:53,520 Speaker 3: targets of the world, like Walmart, to come up with 373 00:16:53,560 --> 00:16:56,040 Speaker 3: their own kind of sales extravagant in the middle of summer. 374 00:16:57,000 --> 00:16:58,880 Speaker 7: Yeah, and it won't be any different this year. So 375 00:16:58,920 --> 00:17:02,000 Speaker 7: as soon as Amazon launches it's Prime Day dates, what 376 00:17:02,120 --> 00:17:04,960 Speaker 7: happens is the larger retailers and some of the smaller 377 00:17:05,000 --> 00:17:07,600 Speaker 7: ones just follow right to make sure that they can 378 00:17:07,640 --> 00:17:10,240 Speaker 7: capture some of that walletchhare. To remember, this Prime Day 379 00:17:10,280 --> 00:17:14,280 Speaker 7: comes before the July fourth sales, so it's actually a 380 00:17:14,280 --> 00:17:16,800 Speaker 7: move to pull sales forward even more than it has 381 00:17:16,840 --> 00:17:20,040 Speaker 7: been ever in the past. And we do expect online 382 00:17:20,080 --> 00:17:22,680 Speaker 7: sales across the board, not just for Amazon, but even 383 00:17:22,840 --> 00:17:25,760 Speaker 7: the Walmart's, the target's best spies of the world to 384 00:17:25,960 --> 00:17:29,080 Speaker 7: feature deals to try to lower that customer spend because 385 00:17:29,080 --> 00:17:32,080 Speaker 7: it's a time when consumers are prepared to stretch their 386 00:17:32,080 --> 00:17:34,840 Speaker 7: wallets to take advantage of the deals put iman. 387 00:17:34,840 --> 00:17:37,800 Speaker 2: You mentioned Walmart, and I'm just amazed. Every quarter whenever 388 00:17:37,800 --> 00:17:40,680 Speaker 2: they report earnings, I go right to their digital sales, 389 00:17:41,080 --> 00:17:43,960 Speaker 2: and every quarter they don't disappoint it. You know, teens 390 00:17:44,080 --> 00:17:48,720 Speaker 2: twenty five percent growth in digital Walmart's they go toe 391 00:17:48,760 --> 00:17:49,960 Speaker 2: to toe with Amazon, don't they? 392 00:17:51,000 --> 00:17:54,119 Speaker 7: Absolutely? I mean, Walmart's done an amazing job at at 393 00:17:54,200 --> 00:17:56,879 Speaker 7: capturing the online shopper. You know, if I speaking to 394 00:17:56,960 --> 00:17:59,479 Speaker 7: you five years ago, they were very, very small when 395 00:17:59,480 --> 00:18:02,080 Speaker 7: it came to the online presence that they haven't today 396 00:18:02,119 --> 00:18:05,240 Speaker 7: they're approaching over roughly two hundred billion dollars and almost 397 00:18:05,240 --> 00:18:08,560 Speaker 7: online sales, So quite a move since then. When you 398 00:18:08,600 --> 00:18:11,000 Speaker 7: compare it to Amazon, you know, we're expecting Amazon to 399 00:18:11,000 --> 00:18:15,280 Speaker 7: get to a trillion dollars and GMB, so still you know, 400 00:18:15,320 --> 00:18:18,320 Speaker 7: Amazon is further along on a global basis, but Walmart 401 00:18:18,640 --> 00:18:20,680 Speaker 7: is catching up fast for sure. 402 00:18:21,800 --> 00:18:24,720 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 403 00:18:28,880 --> 00:18:32,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 404 00:18:32,680 --> 00:18:36,040 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 405 00:18:36,160 --> 00:18:39,239 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 406 00:18:39,280 --> 00:18:42,680 Speaker 1: get your podcasts, or watch us live on YouTube. 407 00:18:43,080 --> 00:18:45,679 Speaker 2: One of the M and E trades today, Young Brands 408 00:18:45,800 --> 00:18:48,679 Speaker 2: selling its Pizza Hut division for two point seven billion 409 00:18:48,720 --> 00:18:52,080 Speaker 2: dollars to focus on it's KFC and Taco Bell chains. 410 00:18:52,119 --> 00:18:53,280 Speaker 2: I'm in on all three of those. 411 00:18:53,760 --> 00:18:54,680 Speaker 6: Those are all good with me. 412 00:18:54,920 --> 00:18:57,399 Speaker 2: Michael Halen he joined us here, a senior restaurant of 413 00:18:57,400 --> 00:19:01,520 Speaker 2: food service analysts for Bloomberg Intelligence. Michael, just about this transaction. 414 00:19:01,600 --> 00:19:02,920 Speaker 2: What's Yu'm doing here? 415 00:19:03,720 --> 00:19:06,800 Speaker 11: Yeah, And it's been expected they've since last fall they 416 00:19:06,800 --> 00:19:10,720 Speaker 11: had announced that they were looking for strategic options here 417 00:19:11,280 --> 00:19:14,600 Speaker 11: for Pizza Hut, which has been struggling for years, right, 418 00:19:14,680 --> 00:19:17,679 Speaker 11: and so we think it's a great deal for them, 419 00:19:18,080 --> 00:19:21,920 Speaker 11: you know, and it allows their very talented management team 420 00:19:21,960 --> 00:19:25,760 Speaker 11: to focus on their two real growth brands, Taco Bell, 421 00:19:25,880 --> 00:19:29,480 Speaker 11: which is a monster, it's the gold standard and QSR 422 00:19:30,280 --> 00:19:34,160 Speaker 11: best marketing program, phenomenal seam source sales for years now, 423 00:19:35,680 --> 00:19:38,600 Speaker 11: probably since I've been you know, an analyst of probably 424 00:19:38,600 --> 00:19:43,400 Speaker 11: about fifteen plus years, great seam sore sales. And KFC, 425 00:19:43,520 --> 00:19:49,000 Speaker 11: which is phenomenal overseas, strong net unit growth overseas and 426 00:19:49,080 --> 00:19:51,280 Speaker 11: starting to turn around here in the United States in 427 00:19:51,320 --> 00:19:54,959 Speaker 11: the last couple of quarters. So you know, with the 428 00:19:55,000 --> 00:19:57,119 Speaker 11: cash it's going to be about two point three billion 429 00:19:57,200 --> 00:19:57,840 Speaker 11: after tax. 430 00:19:57,920 --> 00:20:00,760 Speaker 10: Are going to for that right now into into. 431 00:20:00,680 --> 00:20:05,639 Speaker 11: Share buybacks to offset some of the operating profit loss 432 00:20:05,640 --> 00:20:06,680 Speaker 11: that they're going to have here. 433 00:20:06,760 --> 00:20:11,560 Speaker 10: And you know, we think it's it's a good deal. 434 00:20:11,640 --> 00:20:13,919 Speaker 11: It's it's going to have a much higher operating profit 435 00:20:13,960 --> 00:20:17,159 Speaker 11: and net unit growth, faster revenue growth than all of 436 00:20:17,200 --> 00:20:21,000 Speaker 11: that is, you know, turning into a higher multiple. Is 437 00:20:21,000 --> 00:20:22,680 Speaker 11: what we're seeing in the market today. 438 00:20:22,840 --> 00:20:25,400 Speaker 2: Stocks up two point three percent today on this news, 439 00:20:25,480 --> 00:20:27,679 Speaker 2: up about almost five percent year to date and up 440 00:20:27,680 --> 00:20:31,560 Speaker 2: about eleven percent of the trailing twelve months. KFC and 441 00:20:31,640 --> 00:20:34,600 Speaker 2: Taco Bell, do you think they're going to maybe think 442 00:20:34,600 --> 00:20:37,119 Speaker 2: about growing va acquisition? Is there something for them to 443 00:20:37,119 --> 00:20:39,200 Speaker 2: go out and buy? Is that part of their strategy 444 00:20:39,200 --> 00:20:39,640 Speaker 2: their DNA? 445 00:20:39,920 --> 00:20:42,719 Speaker 10: You know, we could be you know, it has historically. 446 00:20:42,800 --> 00:20:45,600 Speaker 11: They purchased Habit Burger a few years ago, but it 447 00:20:45,640 --> 00:20:49,520 Speaker 11: was just really too small to make a big difference 448 00:20:49,560 --> 00:20:52,679 Speaker 11: in the in the top and bottom line. But that 449 00:20:52,760 --> 00:20:56,159 Speaker 11: could be an option. You know, Chris Turner, he was 450 00:20:56,240 --> 00:20:59,879 Speaker 11: the prior CFO, is the new CEO, and he's more 451 00:21:00,960 --> 00:21:03,560 Speaker 11: you know, the company was run pretty conservatively under their 452 00:21:03,560 --> 00:21:08,920 Speaker 11: prior CEO, you know, good solid company, you know, but 453 00:21:08,960 --> 00:21:11,320 Speaker 11: not very exciting. And so you know, as you can 454 00:21:11,320 --> 00:21:14,639 Speaker 11: see with this deal, uh Turner hasn't wasted any time 455 00:21:14,760 --> 00:21:18,479 Speaker 11: and he's being more aggressive with the moves that they're making, 456 00:21:18,520 --> 00:21:20,720 Speaker 11: and so I could see I could see. 457 00:21:20,600 --> 00:21:23,399 Speaker 10: M and A being an option going forward. 458 00:21:23,800 --> 00:21:28,320 Speaker 2: So what was the problem with this Pizza Hut? Was 459 00:21:28,359 --> 00:21:31,840 Speaker 2: it simply Dominoes? What was kind of the problem? 460 00:21:31,880 --> 00:21:34,200 Speaker 11: Dominoes was a big part of it because since two 461 00:21:34,280 --> 00:21:37,320 Speaker 11: thousand and nine, and in two thousand and nine Pizza 462 00:21:37,400 --> 00:21:41,520 Speaker 11: Hut was number one in the country, Dominoes has taken. 463 00:21:41,280 --> 00:21:43,560 Speaker 10: Share year after year after year, So that's been a 464 00:21:43,560 --> 00:21:44,320 Speaker 10: big part of it. 465 00:21:44,880 --> 00:21:47,120 Speaker 11: Papa John's had some good years in there too where 466 00:21:47,119 --> 00:21:48,160 Speaker 11: they were taking some share. 467 00:21:48,240 --> 00:21:51,199 Speaker 10: So that's a big part of it. But you know, 468 00:21:51,280 --> 00:21:54,160 Speaker 10: I'd say a big issue is like food. 469 00:21:53,920 --> 00:21:56,560 Speaker 11: Quality and the real estate, right, Like they have these 470 00:21:56,600 --> 00:21:59,560 Speaker 11: really big boxes that cost a lot of money. These 471 00:21:59,600 --> 00:22:01,720 Speaker 11: franchise are paying big rents, and when you don't have 472 00:22:01,800 --> 00:22:05,199 Speaker 11: people coming into the restaurants anymore, because in addition to 473 00:22:05,240 --> 00:22:09,080 Speaker 11: the Dominoes and Papa John's competition, you had more competition 474 00:22:09,119 --> 00:22:12,399 Speaker 11: at sit down restaurants, higher qualities, sit down pizza joints 475 00:22:12,440 --> 00:22:16,280 Speaker 11: cropping up locally, you know, and it just starts this 476 00:22:16,400 --> 00:22:19,880 Speaker 11: downward spiral that that that you know, people aren't coming in, 477 00:22:19,920 --> 00:22:22,440 Speaker 11: so the franchises aren't going to spend money on improving 478 00:22:22,920 --> 00:22:25,440 Speaker 11: you know, the look and the feel of the restaurants. 479 00:22:27,680 --> 00:22:30,960 Speaker 11: You know, restaurants fall into disrepair. And so it's kind 480 00:22:30,960 --> 00:22:34,440 Speaker 11: of been been this spiral here in the US anyway 481 00:22:34,480 --> 00:22:38,399 Speaker 11: that that's you know, been going off for quite I've. 482 00:22:38,240 --> 00:22:39,840 Speaker 2: Been telling the story today. Back in the eighties and 483 00:22:39,880 --> 00:22:42,600 Speaker 2: college in Richard, Virginia, it was our savior. It was 484 00:22:42,640 --> 00:22:43,720 Speaker 2: our go to place. 485 00:22:44,680 --> 00:22:46,399 Speaker 10: But that was a long time ago. Listen, of the 486 00:22:46,440 --> 00:22:48,119 Speaker 10: breadsticks were phenomenal. 487 00:22:47,760 --> 00:22:51,880 Speaker 2: Exactly, all right. So all the restaurant companies that you cover, 488 00:22:51,920 --> 00:22:52,880 Speaker 2: you cover them all. 489 00:22:53,200 --> 00:22:54,639 Speaker 6: What's the theme you're. 490 00:22:54,520 --> 00:22:56,280 Speaker 2: Hearing from your restaurant companies about kind of how the 491 00:22:56,320 --> 00:22:57,400 Speaker 2: consumer's doing out there. 492 00:22:58,920 --> 00:23:01,760 Speaker 11: The theme is that they're holding in right. And I 493 00:23:01,840 --> 00:23:03,800 Speaker 11: think part of that was the tax refund checks. 494 00:23:03,880 --> 00:23:04,080 Speaker 6: You know. 495 00:23:04,480 --> 00:23:06,440 Speaker 11: You know, as you probably know, I was pretty bullish 496 00:23:06,520 --> 00:23:09,360 Speaker 11: coming into this year because inflation was close to two percent, 497 00:23:10,000 --> 00:23:14,400 Speaker 11: we had these refund checks coming. We're less much less 498 00:23:14,440 --> 00:23:17,720 Speaker 11: bullish now based on the inflation that we're seeing, you know, 499 00:23:17,840 --> 00:23:19,560 Speaker 11: like I said, a lot of them are talking about 500 00:23:20,440 --> 00:23:21,600 Speaker 11: kind of holding in. 501 00:23:23,080 --> 00:23:23,359 Speaker 6: Beef. 502 00:23:23,400 --> 00:23:25,840 Speaker 11: Inflation continues to be an issue, So some of those 503 00:23:25,960 --> 00:23:29,919 Speaker 11: chains are kind of worried there, you know what they're saying. 504 00:23:30,160 --> 00:23:32,480 Speaker 11: I'm paying closer attention what they're doing, and what we're 505 00:23:32,520 --> 00:23:36,479 Speaker 11: seeing is the most aggressive discounting we've seen in this 506 00:23:36,560 --> 00:23:39,800 Speaker 11: business for a while, and that's that's really worrisome. 507 00:23:40,400 --> 00:23:45,080 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 508 00:23:45,280 --> 00:23:49,240 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 509 00:23:49,440 --> 00:23:52,720 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 510 00:23:52,800 --> 00:23:56,679 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 511 00:23:56,720 --> 00:24:00,080 Speaker 1: can also watch us live every weekday on YouTube and 512 00:24:00,240 --> 00:24:02,160 Speaker 1: always on the Bloomberg Terminal 513 00:24:05,800 --> 00:24:05,840 Speaker 7: M