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 Coarclay, 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 --> 00:00:23,080 Speaker 1: or watch us live on YouTube. 6 00:00:24,000 --> 00:00:26,720 Speaker 2: Let's bring in our global autos Zar right now. Craig 7 00:00:26,760 --> 00:00:30,440 Speaker 2: Trudell joins us out of London. He covers all the 8 00:00:30,480 --> 00:00:33,840 Speaker 2: carmakers and has around the world, but focuses in because 9 00:00:33,840 --> 00:00:37,360 Speaker 2: he also is the editor of the Hyperdrive newsletter. 10 00:00:36,920 --> 00:00:39,400 Speaker 3: On EV's and we're seeing really. 11 00:00:42,000 --> 00:00:47,520 Speaker 2: A changing, a changing c here in terms of EV demand, Craig, 12 00:00:47,560 --> 00:00:50,639 Speaker 2: certainly in the US, and that reads out well in 13 00:00:50,680 --> 00:00:53,840 Speaker 2: the drop in Tesla sales, doesn't it. 14 00:00:53,840 --> 00:00:55,080 Speaker 4: It absolutely does, I think. 15 00:00:55,160 --> 00:00:57,240 Speaker 5: You know, it was interesting earlier this week to see 16 00:00:57,240 --> 00:01:01,279 Speaker 5: Tesla come out with its own company compiled census. 17 00:01:00,760 --> 00:01:02,560 Speaker 4: For these delivery figures. 18 00:01:03,440 --> 00:01:05,160 Speaker 5: You know, it's sort of turned a lot of heads 19 00:01:05,200 --> 00:01:07,640 Speaker 5: because the average estimate that they put in in their 20 00:01:07,680 --> 00:01:12,000 Speaker 5: release was much lower than the Bloomberg compiled average estimate. 21 00:01:12,800 --> 00:01:14,959 Speaker 5: It turns out that Tesla came up short even of 22 00:01:15,040 --> 00:01:17,119 Speaker 5: their own lower. 23 00:01:17,080 --> 00:01:19,559 Speaker 4: Expectations that they pulled together. 24 00:01:20,640 --> 00:01:22,440 Speaker 5: It wasn't by much, and so we're not seeing a 25 00:01:22,480 --> 00:01:24,440 Speaker 5: huge move in the shares at least for the moment. 26 00:01:24,480 --> 00:01:28,360 Speaker 5: But we did see the company's stock price kind of 27 00:01:28,400 --> 00:01:31,880 Speaker 5: stumble in the last few sessions of the year, perhaps 28 00:01:31,880 --> 00:01:34,200 Speaker 5: in anticipation of the fact that these numbers were going 29 00:01:34,280 --> 00:01:35,000 Speaker 5: to be a bit soft. 30 00:01:35,360 --> 00:01:38,480 Speaker 6: How do what's the view out there in the marketplace 31 00:01:38,520 --> 00:01:42,119 Speaker 6: at craig about how committed Tesla is to its core 32 00:01:42,280 --> 00:01:45,160 Speaker 6: auto business visa vs. Some of the other businesses that 33 00:01:45,160 --> 00:01:48,720 Speaker 6: Tesla's involved in. That seems to have attracted Elon's real 34 00:01:48,760 --> 00:01:51,360 Speaker 6: attention and the attention to the marketplace in general. 35 00:01:52,800 --> 00:01:55,120 Speaker 5: Yeah, I mean, I would say, you know, if we 36 00:01:55,120 --> 00:01:57,840 Speaker 5: were to sort of break down, you know, maybe use 37 00:01:58,080 --> 00:02:00,680 Speaker 5: Groc his chatbot to break down how much which he's 38 00:02:00,720 --> 00:02:06,000 Speaker 5: talking about his humanoid robot optimists versus you know, Tesla's 39 00:02:06,040 --> 00:02:08,799 Speaker 5: sort of core business, I think it would be no contests. 40 00:02:08,840 --> 00:02:12,040 Speaker 5: I mean, he does also talk quite a bit about robotaxis. 41 00:02:12,840 --> 00:02:15,400 Speaker 5: And yet in terms of execution there, you know, we 42 00:02:15,520 --> 00:02:19,200 Speaker 5: have vehicles in Austin and in the San Francisco Bay 43 00:02:19,280 --> 00:02:23,760 Speaker 5: area that are operating still with people supervising upfront. And 44 00:02:24,320 --> 00:02:26,840 Speaker 5: you know, yes, the company did do some testing towards 45 00:02:26,840 --> 00:02:30,160 Speaker 5: the very end of the year, you know, some driverless testing, 46 00:02:30,240 --> 00:02:32,720 Speaker 5: but you know that would put them years behind Weimo 47 00:02:32,880 --> 00:02:33,480 Speaker 5: on that front. 48 00:02:33,520 --> 00:02:35,680 Speaker 4: You've not seen them scale up a. 49 00:02:35,960 --> 00:02:39,560 Speaker 5: Quote unquote robotaxi business the way Weimo has now in 50 00:02:39,840 --> 00:02:41,200 Speaker 5: many cities across the US. 51 00:02:41,840 --> 00:02:42,040 Speaker 4: Craig. 52 00:02:42,080 --> 00:02:44,519 Speaker 2: We had a Bloomberg client writing in earlier with the 53 00:02:44,560 --> 00:02:47,720 Speaker 2: tongue in cheek comment about how many robots Tesla has sold. 54 00:02:48,639 --> 00:02:50,840 Speaker 2: But it's interesting, you know, the company is valued at 55 00:02:50,840 --> 00:02:53,160 Speaker 2: one and a half trillion dollars, not because it sells 56 00:02:54,000 --> 00:02:57,960 Speaker 2: one point eight million cars a year, but because investors 57 00:02:58,040 --> 00:03:02,200 Speaker 2: have faith in Elon Musk's I guess creativity and success 58 00:03:02,680 --> 00:03:05,160 Speaker 2: in future endeavors like robots. 59 00:03:05,360 --> 00:03:08,400 Speaker 3: What do we know about what else Tesla could do 60 00:03:08,440 --> 00:03:09,120 Speaker 3: to make money? 61 00:03:10,960 --> 00:03:12,960 Speaker 5: Yeah, I mean I think that's a really good question, 62 00:03:13,240 --> 00:03:16,799 Speaker 5: and I guess I would put that more so focus 63 00:03:16,880 --> 00:03:19,600 Speaker 5: that more so on the question of robotaxis. And I think, 64 00:03:20,320 --> 00:03:22,560 Speaker 5: you know, with Waimo, we know very little at this 65 00:03:22,680 --> 00:03:26,800 Speaker 5: juncture about you know, just how profitable Weimo's business is. 66 00:03:26,880 --> 00:03:29,800 Speaker 5: I think we can you know, make a pretty informed, 67 00:03:30,280 --> 00:03:33,520 Speaker 5: you know, assumption that they're losing quite a bit of money. 68 00:03:33,600 --> 00:03:39,320 Speaker 5: The company is regularly raising a lot of cash from 69 00:03:39,920 --> 00:03:43,200 Speaker 5: primarily from Alphabet and has knock gone public. So we've 70 00:03:43,240 --> 00:03:46,480 Speaker 5: not seen you know, what sort of figures they have internally, 71 00:03:47,080 --> 00:03:48,640 Speaker 5: but you know, I think that's one of the things 72 00:03:48,640 --> 00:03:51,240 Speaker 5: that's going to be interesting to watch play out in 73 00:03:51,400 --> 00:03:54,640 Speaker 5: twenty twenty six is, you know, everybody is very excited 74 00:03:54,640 --> 00:03:57,360 Speaker 5: about robo taxis, and for good reason. It's really neat 75 00:03:57,400 --> 00:03:59,720 Speaker 5: to sit in a car with no one behind the wheel. 76 00:04:00,040 --> 00:04:02,720 Speaker 5: The question I have is, of course, you know, how 77 00:04:02,840 --> 00:04:06,320 Speaker 5: quickly can we scale that capability in a way that's 78 00:04:06,360 --> 00:04:09,360 Speaker 5: actually generating money? And I think, you know, some people 79 00:04:09,360 --> 00:04:11,400 Speaker 5: are willing to give us the benefit of the doubt, 80 00:04:11,400 --> 00:04:14,400 Speaker 5: as you mentioned, and willing to also take him at 81 00:04:14,440 --> 00:04:17,360 Speaker 5: his word that he can scale quicker, you know, sort 82 00:04:17,360 --> 00:04:20,760 Speaker 5: of over a longer time period. But in terms of 83 00:04:20,839 --> 00:04:23,400 Speaker 5: you know, here and now, who actually has cars on 84 00:04:23,480 --> 00:04:26,320 Speaker 5: the road that don't have drivers behind the human drivers 85 00:04:26,360 --> 00:04:29,400 Speaker 5: behind the wheel, Weimo is ahead of Tesla, and it's 86 00:04:29,440 --> 00:04:32,760 Speaker 5: not at all close because we've not seen Tesla actually 87 00:04:32,760 --> 00:04:33,520 Speaker 5: commercialize that. 88 00:04:35,200 --> 00:04:38,320 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 89 00:04:41,920 --> 00:04:45,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 90 00:04:45,680 --> 00:04:48,799 Speaker 1: weekdays at ten am Eastern on Apple Cocklay and Android 91 00:04:48,800 --> 00:04:52,120 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 92 00:04:52,160 --> 00:04:55,279 Speaker 1: you get your podcasts, or watch us live on YouTube. 93 00:04:55,960 --> 00:04:57,920 Speaker 7: Let's talk about deep Seek. Yes, it is back in 94 00:04:58,000 --> 00:04:58,279 Speaker 7: the news. 95 00:04:58,279 --> 00:05:01,040 Speaker 8: Deep Seek is going to soon release new AIMI model 96 00:05:01,360 --> 00:05:02,320 Speaker 8: that could up end. 97 00:05:02,160 --> 00:05:04,000 Speaker 7: The sector like it did just a year ago. 98 00:05:04,320 --> 00:05:06,520 Speaker 8: The company just published a paper that outlines ways to 99 00:05:06,560 --> 00:05:10,600 Speaker 8: develop AI that improves scalability while reducing the computational and 100 00:05:10,760 --> 00:05:14,240 Speaker 8: energy demands of training the model, or so it claims to. 101 00:05:14,520 --> 00:05:17,119 Speaker 8: Let's bring in Bloomberg Tech co host ed Ludlow, who's 102 00:05:17,120 --> 00:05:18,000 Speaker 8: in San Francisco. 103 00:05:18,360 --> 00:05:18,440 Speaker 5: Ed. 104 00:05:18,520 --> 00:05:20,680 Speaker 7: Is this going to do the same thing as. 105 00:05:20,600 --> 00:05:24,320 Speaker 8: Last February when the markets are roctions or are we 106 00:05:24,360 --> 00:05:26,480 Speaker 8: sort of used to the fact now that other people 107 00:05:26,560 --> 00:05:27,479 Speaker 8: can do AI too? 108 00:05:28,400 --> 00:05:31,520 Speaker 9: Yeah, it's certainly kind of a repeat of the format 109 00:05:31,600 --> 00:05:34,159 Speaker 9: that Deep seekers is kind of utized, where they publish 110 00:05:34,200 --> 00:05:36,680 Speaker 9: a white paper and the white paper or research and 111 00:05:36,720 --> 00:05:39,960 Speaker 9: it kind of explains that because of constraints on Chinese 112 00:05:40,000 --> 00:05:43,760 Speaker 9: technology companies, principally a lack of access to the lead 113 00:05:43,920 --> 00:05:47,080 Speaker 9: edge AI chips, they have to get clever from a 114 00:05:47,120 --> 00:05:50,080 Speaker 9: computer science perspective on the architectures, how a model is 115 00:05:50,400 --> 00:05:53,360 Speaker 9: weave together, how it is trained, the data it uses, 116 00:05:53,400 --> 00:05:57,160 Speaker 9: et cetera. And again they've just published a white paper 117 00:05:57,160 --> 00:05:59,800 Speaker 9: that would suggest they found another way of doing that that, 118 00:06:00,080 --> 00:06:04,000 Speaker 9: as you pointed out, it's computationally and from an energy perspective, 119 00:06:05,440 --> 00:06:08,240 Speaker 9: much more efficient. But it's often a precursor to the 120 00:06:08,240 --> 00:06:10,839 Speaker 9: release of a wider model. So what we're waiting on 121 00:06:10,960 --> 00:06:13,360 Speaker 9: is what most people refer to as deep seek are 122 00:06:13,440 --> 00:06:17,839 Speaker 9: two the kind of next large scale frontier model and 123 00:06:17,880 --> 00:06:20,080 Speaker 9: the expectations that that will come in February or March, 124 00:06:20,120 --> 00:06:23,120 Speaker 9: and depending on how it performs and ranks in the tables, 125 00:06:23,800 --> 00:06:28,200 Speaker 9: could potentially upend the kind of marketplace right now, which 126 00:06:28,240 --> 00:06:31,000 Speaker 9: includes competition with American frontier labs for models. 127 00:06:31,279 --> 00:06:33,560 Speaker 6: So if we had that deep seek news again a 128 00:06:33,640 --> 00:06:36,039 Speaker 6: year ago and it really up ended the market, yeah, 129 00:06:36,160 --> 00:06:38,160 Speaker 6: is it just me that I haven't really heard too 130 00:06:38,240 --> 00:06:39,960 Speaker 6: much about deep seek since then? 131 00:06:40,279 --> 00:06:43,159 Speaker 3: I mean, yeah, I don't know. I mean two things. 132 00:06:43,200 --> 00:06:45,520 Speaker 9: The first is that deep seek has continued to work 133 00:06:45,560 --> 00:06:49,039 Speaker 9: on smaller models with fewer parameters, and it takes time 134 00:06:49,560 --> 00:06:53,760 Speaker 9: to train very very large models. But kind of what 135 00:06:53,839 --> 00:06:56,000 Speaker 9: happened in the kind of eruption of February, March and 136 00:06:56,000 --> 00:06:58,479 Speaker 9: April of last year in the financial markets is when 137 00:06:59,040 --> 00:07:02,560 Speaker 9: Deep Seak started publishing its evidence and the performance of 138 00:07:02,600 --> 00:07:05,560 Speaker 9: its models and what it took to train them. Everyone 139 00:07:05,600 --> 00:07:07,919 Speaker 9: was like, well, huh, hold on a minute. It didn't 140 00:07:07,960 --> 00:07:09,960 Speaker 9: cost you guys very much. It was a lot cheaper 141 00:07:10,000 --> 00:07:12,600 Speaker 9: than what the American companies are doing, and you didn't 142 00:07:12,600 --> 00:07:15,040 Speaker 9: have access to all this technology that is propping up 143 00:07:15,080 --> 00:07:18,840 Speaker 9: the entire market, right, and so it kind of raised 144 00:07:18,880 --> 00:07:22,520 Speaker 9: the question why are we so bullish and all of 145 00:07:22,560 --> 00:07:26,200 Speaker 9: this in America's context, like all of our evidence for 146 00:07:26,240 --> 00:07:30,520 Speaker 9: this market rally or to that point, because remember, like 147 00:07:30,640 --> 00:07:32,440 Speaker 9: within video in a mag seven, this was a multi 148 00:07:32,520 --> 00:07:35,440 Speaker 9: year thing was because of all the spending and the 149 00:07:35,440 --> 00:07:40,880 Speaker 9: performance of those chips. But the present day, the way 150 00:07:40,880 --> 00:07:43,679 Speaker 9: that we compare the performance different models is peer review 151 00:07:44,040 --> 00:07:47,520 Speaker 9: and performance tables and in the kind of free, lower 152 00:07:47,560 --> 00:07:50,720 Speaker 9: cost Chinese models are up there. And so that's why 153 00:07:50,760 --> 00:07:52,360 Speaker 9: we're kind of bracing for R two and what it 154 00:07:52,440 --> 00:07:54,320 Speaker 9: might show us in terms. 155 00:07:54,160 --> 00:07:57,600 Speaker 10: Of performance ed what do we know about what chips 156 00:07:57,760 --> 00:08:01,120 Speaker 10: Deepseek is using And was there just a little bit 157 00:08:01,240 --> 00:08:04,320 Speaker 10: of skepticism that maybe Deep Sea might be using some 158 00:08:04,400 --> 00:08:06,000 Speaker 10: kind of in video chip at one point. 159 00:08:06,160 --> 00:08:10,680 Speaker 9: Yeah, there have been media reports that deep Seek and 160 00:08:10,760 --> 00:08:15,840 Speaker 9: other Chinese firms were able to get access to the 161 00:08:15,960 --> 00:08:21,240 Speaker 9: latest generation of Nvidia GPUs by acquiring them from data 162 00:08:21,360 --> 00:08:26,880 Speaker 9: centers in permitted countries, disassembling those data centers, and then 163 00:08:27,000 --> 00:08:30,920 Speaker 9: essentially smuggling them through a third country. Go on to 164 00:08:30,960 --> 00:08:33,360 Speaker 9: Bloomberg dot Com or the Terminal read the very detailed 165 00:08:33,400 --> 00:08:36,319 Speaker 9: reporting on that. There was also a lot of skepticism 166 00:08:36,360 --> 00:08:41,120 Speaker 9: about that reporting because right now in Nvidia is severely 167 00:08:41,160 --> 00:08:44,920 Speaker 9: supply constrained. Any demand that's out there accounts for all 168 00:08:44,920 --> 00:08:47,240 Speaker 9: the chips they're ever going to make, and as one 169 00:08:47,280 --> 00:08:50,480 Speaker 9: source put it to me, you don't just sort of 170 00:08:50,559 --> 00:08:53,800 Speaker 9: see thousands of black well chips go missing, such is 171 00:08:53,880 --> 00:08:56,240 Speaker 9: the demand for them. So it was something that at 172 00:08:56,280 --> 00:08:58,959 Speaker 9: the time in Vidia issued a statement straight away and said, 173 00:09:00,080 --> 00:09:02,079 Speaker 9: you don't see any evidence of sort of these missing 174 00:09:02,120 --> 00:09:05,000 Speaker 9: chips that are being smuggled through different countries. But therein 175 00:09:05,040 --> 00:09:07,000 Speaker 9: lies the point of why you're asking me about deep 176 00:09:07,000 --> 00:09:10,280 Speaker 9: Seek and it's white paper. It's what China's technology companies 177 00:09:10,280 --> 00:09:12,840 Speaker 9: are able to do without access to those chips. That 178 00:09:12,960 --> 00:09:14,160 Speaker 9: is the main focus. 179 00:09:14,320 --> 00:09:17,480 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 180 00:09:21,320 --> 00:09:25,040 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 181 00:09:25,120 --> 00:09:28,199 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 182 00:09:28,200 --> 00:09:31,520 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 183 00:09:31,559 --> 00:09:35,120 Speaker 1: you get your podcasts, or watch us live on YouTube. 184 00:09:35,480 --> 00:09:37,600 Speaker 7: From January to year round moderation. 185 00:09:37,760 --> 00:09:40,360 Speaker 8: Non Alcoholic beer is booming. Bill Schufeldt is the co 186 00:09:40,400 --> 00:09:43,800 Speaker 8: founder and CEO of Athletic Brewing Company. I'm sure you've 187 00:09:43,800 --> 00:09:46,840 Speaker 8: seen those cans in the stores or perhaps your local bar. 188 00:09:47,160 --> 00:09:49,680 Speaker 8: It's one of the nation's top non alcoholic beer brands. 189 00:09:49,720 --> 00:09:51,840 Speaker 8: He joins us now in studio to talk about what's 190 00:09:52,000 --> 00:09:55,880 Speaker 8: on tap for Booseless SuDS. So, Bill, this is an 191 00:09:55,960 --> 00:09:58,600 Speaker 8: insane growth story that you've just been telling me. So 192 00:09:58,800 --> 00:10:02,400 Speaker 8: you started actually what ten years ago, and now your 193 00:10:02,679 --> 00:10:04,480 Speaker 8: ten x or the market is ten x. 194 00:10:04,520 --> 00:10:06,079 Speaker 7: Explain what you were just telling us. 195 00:10:06,400 --> 00:10:09,160 Speaker 11: For sure, it's it's been a really fun ride. We 196 00:10:09,240 --> 00:10:12,240 Speaker 11: started the non alcoholic beer market basically had flatline for 197 00:10:12,320 --> 00:10:14,800 Speaker 11: thirty years before ten years ago. Where we came in 198 00:10:14,880 --> 00:10:17,160 Speaker 11: and liked to think we reimagined both the product and 199 00:10:17,200 --> 00:10:19,439 Speaker 11: the marketing of the category, taking out of the penalty 200 00:10:19,440 --> 00:10:24,200 Speaker 11: box into the mainstream with delicious flavors, and we've taken 201 00:10:24,240 --> 00:10:27,160 Speaker 11: it as a category from about one hundred million to 202 00:10:27,360 --> 00:10:30,120 Speaker 11: passing a billion dollars in the US market this year, 203 00:10:30,600 --> 00:10:33,000 Speaker 11: and we think that could continue to grow. We expected 204 00:10:33,000 --> 00:10:35,240 Speaker 11: to five x in the next ten years, with Athletic 205 00:10:35,320 --> 00:10:38,280 Speaker 11: being twenty five percent of that market. Right now, Athletic 206 00:10:38,360 --> 00:10:41,719 Speaker 11: is about eighteen point four share the total category. The 207 00:10:41,760 --> 00:10:44,400 Speaker 11: next biggest is about fourteen and a half share, and 208 00:10:44,520 --> 00:10:46,439 Speaker 11: that it's another four point dropped to the next brand 209 00:10:46,440 --> 00:10:49,439 Speaker 11: behind that. Athletics also fifty two share of the non 210 00:10:49,480 --> 00:10:52,400 Speaker 11: al called craft beer category, which has well over one 211 00:10:52,440 --> 00:10:55,320 Speaker 11: hundred brand So we're outsiding the next one hundred plus combined. 212 00:10:55,960 --> 00:10:59,400 Speaker 11: And it's really meeting those that next generation of consumers 213 00:10:59,440 --> 00:11:00,400 Speaker 11: where they're at. 214 00:11:00,559 --> 00:11:02,960 Speaker 6: What's been the response competitive response from some of the 215 00:11:02,960 --> 00:11:05,040 Speaker 6: big brewers, which I can't even know the names now 216 00:11:05,040 --> 00:11:08,760 Speaker 6: they've all merged into one big entity, I think for sure. 217 00:11:09,600 --> 00:11:12,480 Speaker 11: So as you've heard on this segment before too, over 218 00:11:12,559 --> 00:11:16,040 Speaker 11: forty percent of consumers are doing dry January this year, 219 00:11:16,720 --> 00:11:19,320 Speaker 11: Over fifty percent of consumers now view one or two 220 00:11:19,400 --> 00:11:21,959 Speaker 11: drinks today as unhealthy, and a record low number of 221 00:11:22,000 --> 00:11:24,720 Speaker 11: Americans are also consuming alcohol on a weekly basis. So 222 00:11:25,240 --> 00:11:29,040 Speaker 11: this is a huge growth opportunity for the adult beverage market, 223 00:11:29,160 --> 00:11:32,520 Speaker 11: and a lot of companies relate to that. But over 224 00:11:32,520 --> 00:11:35,040 Speaker 11: the last five years, basically every major brand has entered 225 00:11:35,040 --> 00:11:38,800 Speaker 11: that category with an alcoholic analog to our non alcoholic 226 00:11:38,840 --> 00:11:44,040 Speaker 11: analog to their full strength version, and we really appreciate 227 00:11:44,120 --> 00:11:45,440 Speaker 11: that support and growing the category. 228 00:11:45,960 --> 00:11:47,720 Speaker 8: It's so funny to me, because I didn't have an 229 00:11:47,720 --> 00:11:50,840 Speaker 8: alcoholic beverage in my life until I was nearly thirty. 230 00:11:50,880 --> 00:11:53,480 Speaker 8: I think, and I wonder what makes somebody reach for 231 00:11:54,160 --> 00:11:56,360 Speaker 8: a non alcoholic beer when there are so many other 232 00:11:56,440 --> 00:11:58,400 Speaker 8: drinks that are already non alcoholic out there. 233 00:11:59,080 --> 00:12:02,319 Speaker 11: For sure, it's so when we start Athletic and I 234 00:12:02,320 --> 00:12:04,800 Speaker 11: would try to get people to taste samples or buy 235 00:12:04,840 --> 00:12:07,160 Speaker 11: one of our beers. Getting people to cross that barrier 236 00:12:07,280 --> 00:12:09,880 Speaker 11: was so hard seven or eight years ago. But I 237 00:12:09,920 --> 00:12:11,839 Speaker 11: think the light bulb that goes on over and over 238 00:12:11,880 --> 00:12:15,000 Speaker 11: again for people is that it is such a delicious 239 00:12:15,040 --> 00:12:17,320 Speaker 11: meal pairing at a fraction of the calories as a 240 00:12:17,360 --> 00:12:20,440 Speaker 11: full strength alcohol equivalent. For example, we were just talking 241 00:12:20,480 --> 00:12:22,560 Speaker 11: about before I came in, how our Athletic light is 242 00:12:22,600 --> 00:12:26,240 Speaker 11: twenty five calories no sugar light and carbs, but a 243 00:12:26,280 --> 00:12:29,360 Speaker 11: full taste that's like a perfect guilt free weeknight beer. 244 00:12:29,800 --> 00:12:31,680 Speaker 11: And then we brought a ton of innovation to the 245 00:12:31,679 --> 00:12:35,960 Speaker 11: market too. For example, we're now launching an excited lineup 246 00:12:36,000 --> 00:12:39,559 Speaker 11: of non alcoholic brewed cocktails this January at select retailers 247 00:12:39,600 --> 00:12:44,000 Speaker 11: like Target, and all these different fond flavored. 248 00:12:45,040 --> 00:12:46,839 Speaker 7: Like what give us a foretaste? 249 00:12:47,280 --> 00:12:50,040 Speaker 11: Yeah, so we have off that Athletic light logger. We 250 00:12:50,080 --> 00:12:52,920 Speaker 11: have an Athletic Light Limeman salt launching this year, and 251 00:12:53,160 --> 00:12:56,320 Speaker 11: in a typical year we launch almost fifty different styles 252 00:12:56,320 --> 00:12:59,439 Speaker 11: of beers on our website Athletic Brewing dot com. Where 253 00:12:59,559 --> 00:13:02,960 Speaker 11: before Athletic Brewing this category was a logger only category. 254 00:13:03,000 --> 00:13:05,240 Speaker 11: So from day one, we've really blown the lid off 255 00:13:05,280 --> 00:13:08,280 Speaker 11: what taste and availability can be in this category. 256 00:13:08,520 --> 00:13:12,120 Speaker 3: Who's typical athletic drinker customer? 257 00:13:12,559 --> 00:13:15,000 Speaker 11: So when we came into the category, this category was 258 00:13:15,120 --> 00:13:18,640 Speaker 11: typically a lapsed alcoholic drinker. It was very male heavy, 259 00:13:18,720 --> 00:13:22,679 Speaker 11: it was an older population generally, and since we've redefined 260 00:13:22,679 --> 00:13:24,640 Speaker 11: the product and marketing of the category, we've seen that 261 00:13:24,720 --> 00:13:27,199 Speaker 11: drift younger and younger every year. We think forty five 262 00:13:27,240 --> 00:13:31,760 Speaker 11: percent of our consumers are below age forty five very 263 00:13:31,800 --> 00:13:35,800 Speaker 11: heavy in gen Z consumers really, as people have grown 264 00:13:35,880 --> 00:13:39,120 Speaker 11: up in this digital generation where you have your work 265 00:13:39,120 --> 00:13:41,319 Speaker 11: in your pocket at all times, everything in your life 266 00:13:41,360 --> 00:13:44,960 Speaker 11: is filmed and recorded and on record. And people still 267 00:13:45,000 --> 00:13:47,200 Speaker 11: like to drink, but then they like to zebra stripe 268 00:13:47,240 --> 00:13:49,120 Speaker 11: and work in non alcoholic and options. 269 00:13:48,760 --> 00:13:50,800 Speaker 3: Like zebra striping. And I heard that and I forgot 270 00:13:50,800 --> 00:13:51,240 Speaker 3: it already. 271 00:13:51,400 --> 00:13:54,160 Speaker 11: Yeah, sorry, jumped right over that. It's it's basically we 272 00:13:54,760 --> 00:13:56,720 Speaker 11: And this has been shocking to me. I hear from 273 00:13:56,760 --> 00:13:59,320 Speaker 11: bartenders all the time that people order alcoholic drinks non 274 00:13:59,360 --> 00:13:59,960 Speaker 11: alcoholic alto. 275 00:14:00,240 --> 00:14:00,920 Speaker 3: Oh okay, I got you. 276 00:14:01,000 --> 00:14:03,280 Speaker 7: Okay, it's a brilliant idea. You could put food in 277 00:14:03,320 --> 00:14:06,240 Speaker 7: there too, That would actually be a better idea. Curians, 278 00:14:06,360 --> 00:14:07,200 Speaker 7: how do you do it? 279 00:14:07,280 --> 00:14:09,520 Speaker 8: You have so many options and as you say, you're 280 00:14:09,520 --> 00:14:11,839 Speaker 8: trying out different ones all the time, I mean, are 281 00:14:11,840 --> 00:14:12,440 Speaker 8: you very. 282 00:14:12,320 --> 00:14:14,760 Speaker 7: Non profitable or how does it work? That costs a 283 00:14:14,800 --> 00:14:15,360 Speaker 7: lot of money? 284 00:14:16,120 --> 00:14:18,320 Speaker 11: Well, at the end of the day. In our retail lineup, 285 00:14:18,320 --> 00:14:20,920 Speaker 11: we're very focused. We have a core group of about 286 00:14:20,960 --> 00:14:23,640 Speaker 11: five beers which are very popular and highly awarded. We 287 00:14:23,720 --> 00:14:26,440 Speaker 11: won thirty three Taste Awards last year alone and have 288 00:14:26,480 --> 00:14:28,840 Speaker 11: won about one hundred and eighty five Taste Awards. Since 289 00:14:29,240 --> 00:14:32,960 Speaker 11: you know, there's there's been a plethora of entrance into 290 00:14:33,000 --> 00:14:37,000 Speaker 11: this category from major brewers to there's been ten celebrity 291 00:14:37,040 --> 00:14:40,160 Speaker 11: brands with more on the way, and almost none of 292 00:14:40,160 --> 00:14:43,440 Speaker 11: these companies make their own beer, where Athletic has gone 293 00:14:43,440 --> 00:14:45,600 Speaker 11: the other way. We invested one hundred and thirty million 294 00:14:45,640 --> 00:14:49,600 Speaker 11: into our own manufacturing, our brewing quality teams, and ultimately, 295 00:14:49,640 --> 00:14:53,720 Speaker 11: consumers like to know, they want to get the best 296 00:14:53,720 --> 00:14:56,120 Speaker 11: products and like to know what's behind their products. And 297 00:14:56,360 --> 00:14:59,680 Speaker 11: after that celebrity hype, they've really loved what they found 298 00:14:59,720 --> 00:15:02,880 Speaker 11: in that Athletic and so we really try to stay 299 00:15:02,880 --> 00:15:05,200 Speaker 11: focused in our retail lineup and bring people the best 300 00:15:05,280 --> 00:15:06,520 Speaker 11: beers over and over again. 301 00:15:06,960 --> 00:15:08,800 Speaker 6: I got to put my investment backer hat back on. 302 00:15:09,200 --> 00:15:11,400 Speaker 6: How do you capitalize your company? Always fascinate to see 303 00:15:11,400 --> 00:15:14,880 Speaker 6: how these private companies and entrepreneurial companies how they fan themselves. 304 00:15:15,240 --> 00:15:18,200 Speaker 11: Yeah, it's such an interesting Like I came from the 305 00:15:18,200 --> 00:15:20,720 Speaker 11: financial world, it's such an interesting world these days between 306 00:15:20,760 --> 00:15:24,000 Speaker 11: private and public capital. And we've been so fortunate to 307 00:15:24,040 --> 00:15:27,840 Speaker 11: have great access to private capital, from angel investors to 308 00:15:28,040 --> 00:15:32,040 Speaker 11: private equity investors like Aligance. Consumer growth in General Atlantic 309 00:15:32,400 --> 00:15:35,520 Speaker 11: and an institutional investor in Kurg Doctor Pepper, and that's 310 00:15:35,520 --> 00:15:38,360 Speaker 11: afforded us the opportunity over the past eight years to 311 00:15:38,600 --> 00:15:40,800 Speaker 11: invest one hundred and thirty million dollars into our US 312 00:15:40,920 --> 00:15:44,760 Speaker 11: manufacturing base. Non all called breweries and taperms weren't a 313 00:15:44,800 --> 00:15:47,560 Speaker 11: thing before Athletic in the country. We built the first one, 314 00:15:47,680 --> 00:15:49,920 Speaker 11: and since then we've built them that are one hundred 315 00:15:49,960 --> 00:15:52,840 Speaker 11: times the output of the original brewery on both coasts 316 00:15:53,400 --> 00:15:57,440 Speaker 11: and in that world we have found really good access 317 00:15:57,480 --> 00:16:01,320 Speaker 11: to private to capital in the private market. But ultimately 318 00:16:01,440 --> 00:16:03,400 Speaker 11: it is really exciting for us to think about potentially 319 00:16:03,400 --> 00:16:06,840 Speaker 11: being a public company or running a long term private company. 320 00:16:06,960 --> 00:16:07,160 Speaker 4: Yeah. 321 00:16:07,200 --> 00:16:08,720 Speaker 8: I want to ask you more about that, but first 322 00:16:08,720 --> 00:16:10,840 Speaker 8: I have to say the marketing is brilliant because you're 323 00:16:11,200 --> 00:16:16,160 Speaker 8: you know, you're a nonancoholic brewery, but you're targeting athletes 324 00:16:16,240 --> 00:16:19,160 Speaker 8: and people who go for hikes and you know, serious 325 00:16:19,200 --> 00:16:22,880 Speaker 8: mountaineers and dog lovers and outdoors the people. I mean, 326 00:16:22,920 --> 00:16:26,200 Speaker 8: it's just it's amazing. So what is the trajectory that 327 00:16:26,280 --> 00:16:28,520 Speaker 8: you see before going public? I mean, you're going to 328 00:16:28,600 --> 00:16:31,280 Speaker 8: open breweries around the country. Are you going to have 329 00:16:31,640 --> 00:16:32,400 Speaker 8: you know, bars? 330 00:16:32,600 --> 00:16:32,880 Speaker 12: Is that? 331 00:16:33,160 --> 00:16:34,720 Speaker 8: Is that something that can be profitable now to the 332 00:16:34,720 --> 00:16:37,040 Speaker 8: bottom line, or you know, is it better to have 333 00:16:37,080 --> 00:16:39,080 Speaker 8: people just subscribe and sort of have it as a 334 00:16:39,120 --> 00:16:42,920 Speaker 8: you know, beer as a service software is Yeah. 335 00:16:42,960 --> 00:16:45,640 Speaker 11: Well, in terms of our target customer, I basically built 336 00:16:45,680 --> 00:16:49,080 Speaker 11: the target customer around my lifestyle because I was authentically 337 00:16:49,120 --> 00:16:53,480 Speaker 11: living this as a busy professional, love the outdoors. Seventy 338 00:16:53,520 --> 00:16:56,400 Speaker 11: percent of the population considers the self an athlete. Even 339 00:16:56,440 --> 00:16:58,600 Speaker 11: though you'll never find me on any podiums anywhere. I 340 00:16:58,640 --> 00:17:01,360 Speaker 11: love being out there and participate, and so it was 341 00:17:01,440 --> 00:17:06,560 Speaker 11: really about that health and wellness trend. And then yeah, 342 00:17:06,640 --> 00:17:10,479 Speaker 11: beyond that, our awareness is still very low. It's about 343 00:17:10,640 --> 00:17:14,720 Speaker 11: twenty five percent nationally, so we have and our distribution 344 00:17:14,920 --> 00:17:17,359 Speaker 11: is only about thirty nine percent with our top product, 345 00:17:17,400 --> 00:17:20,159 Speaker 11: where a lot of the major beer companies, even in 346 00:17:20,200 --> 00:17:23,600 Speaker 11: our category, even though athletics the number one, have double 347 00:17:23,640 --> 00:17:26,560 Speaker 11: our distribution. So we have a huge amount of awareness 348 00:17:26,560 --> 00:17:29,040 Speaker 11: and distribution to go over the next five ten years, 349 00:17:29,440 --> 00:17:32,480 Speaker 11: and that allows us. We also are trying to open 350 00:17:32,520 --> 00:17:36,080 Speaker 11: the aperture who to who drinks beer? Where Beer over 351 00:17:36,119 --> 00:17:38,919 Speaker 11: the past thirty years had been marketing the smaller and 352 00:17:38,960 --> 00:17:43,520 Speaker 11: smaller audiences, and so this January bringing plans to We're 353 00:17:43,560 --> 00:17:46,600 Speaker 11: working with Open Table with a big partnership to expand 354 00:17:46,600 --> 00:17:49,080 Speaker 11: into the culinary world chefs and athletes and stuff. 355 00:17:50,040 --> 00:17:53,199 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 356 00:17:57,080 --> 00:18:00,800 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 357 00:18:00,880 --> 00:18:03,919 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 358 00:18:03,960 --> 00:18:06,840 Speaker 1: Auto with the blue Berg Business app. Listen on demand 359 00:18:06,880 --> 00:18:10,440 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 360 00:18:11,400 --> 00:18:14,520 Speaker 8: For more on travel, Now, let's bring in Dakota, Smith's 361 00:18:14,520 --> 00:18:16,439 Speaker 8: co founder and president of Hopper. 362 00:18:16,560 --> 00:18:19,720 Speaker 7: Dakota, thank you so much for joining. How is business travel? 363 00:18:19,760 --> 00:18:21,960 Speaker 8: How's it come back post pandemic to the extent that 364 00:18:21,960 --> 00:18:23,720 Speaker 8: we would have liked to come back. 365 00:18:25,080 --> 00:18:28,440 Speaker 13: Yeah, Hi, nice to meet you. The good news this 366 00:18:28,520 --> 00:18:31,240 Speaker 13: travel is doing pretty well in the industry. It's mostly 367 00:18:31,280 --> 00:18:36,000 Speaker 13: fully recovered since the pandemic. Business travel is finally reaching 368 00:18:36,000 --> 00:18:38,959 Speaker 13: its pre pandemic levels and starting to grow. Visure travel 369 00:18:39,000 --> 00:18:41,480 Speaker 13: has been you know, it's surpassed the pre pandemic levels 370 00:18:41,520 --> 00:18:43,119 Speaker 13: probably in twenty twenty three. 371 00:18:43,920 --> 00:18:45,800 Speaker 12: So travel travel out look is still strong. 372 00:18:45,840 --> 00:18:48,680 Speaker 13: I mean, people are still spending on travel despite any 373 00:18:48,720 --> 00:18:53,360 Speaker 13: biggering concerns, any greater economy. We just did a survey 374 00:18:54,000 --> 00:18:56,720 Speaker 13: this year and Traveler said they spent just as much 375 00:18:56,760 --> 00:18:59,560 Speaker 13: as travel on the twenty twenty five holiday season as 376 00:18:59,560 --> 00:19:00,680 Speaker 13: they did twenty twenty four. 377 00:19:00,760 --> 00:19:04,960 Speaker 3: For example, how are people spending? What are they doing? 378 00:19:05,040 --> 00:19:09,040 Speaker 6: Is it's still the experiences that people are looking for. 379 00:19:08,920 --> 00:19:11,879 Speaker 12: Here people are spending. 380 00:19:12,800 --> 00:19:16,840 Speaker 13: I would say there's probably one trend that is shifting 381 00:19:16,880 --> 00:19:20,200 Speaker 13: and has really accelerated post pandemic, which is people are 382 00:19:20,280 --> 00:19:24,120 Speaker 13: using their credit card and loyalty programs more and more 383 00:19:24,240 --> 00:19:28,159 Speaker 13: when they're booking travel. Obviously, that is partially to offset 384 00:19:28,240 --> 00:19:31,639 Speaker 13: the costs. Those things lower the cost. Our business has 385 00:19:31,720 --> 00:19:35,080 Speaker 13: really grown around that. For instance, we power travel rewards 386 00:19:35,080 --> 00:19:38,280 Speaker 13: and loyalty for probably about ten banks around the world, 387 00:19:38,520 --> 00:19:41,720 Speaker 13: including Capital One here in the US, other banks around 388 00:19:41,720 --> 00:19:44,760 Speaker 13: the world like Commonwealth Bank of Australia, New Bank in Brazil, 389 00:19:44,840 --> 00:19:47,879 Speaker 13: the world's largest neo bank. And we're building these like 390 00:19:47,960 --> 00:19:52,880 Speaker 13: integrated travel rewards and loyalty experiences directly on the banking 391 00:19:52,920 --> 00:19:56,239 Speaker 13: website or banking apps, so when people are using their 392 00:19:56,280 --> 00:19:59,399 Speaker 13: credit cards, they can earn and burn points and kind 393 00:19:59,440 --> 00:20:01,840 Speaker 13: of access all of these great travel products like some 394 00:20:01,920 --> 00:20:04,160 Speaker 13: of what you were showing on your screen, And that's 395 00:20:04,200 --> 00:20:07,719 Speaker 13: a trend that's just really accelerated. Something like twenty percent, 396 00:20:07,880 --> 00:20:10,480 Speaker 13: twenty five percent of online travel in the United States 397 00:20:10,520 --> 00:20:13,040 Speaker 13: now is being booked directly through a credit card loyalty 398 00:20:13,080 --> 00:20:15,680 Speaker 13: program and that's. 399 00:20:15,560 --> 00:20:17,280 Speaker 12: Just like much, much higher than it was maybe ten 400 00:20:17,359 --> 00:20:17,760 Speaker 12: years ago. 401 00:20:17,960 --> 00:20:20,440 Speaker 8: How much do the banks play into that? You mentioned 402 00:20:20,520 --> 00:20:23,679 Speaker 8: banks in Brazil and outside the United States, But how 403 00:20:23,760 --> 00:20:27,520 Speaker 8: much are customers, you know, booking their travels through banks 404 00:20:27,520 --> 00:20:30,280 Speaker 8: in the US. You said twenty five percent of travelers, 405 00:20:30,320 --> 00:20:32,399 Speaker 8: but how would you increase that figure? 406 00:20:33,760 --> 00:20:35,360 Speaker 13: Well, I think it's been growing year of year. It's 407 00:20:35,359 --> 00:20:38,760 Speaker 13: the fastest growing segment of online travel. So online travel 408 00:20:38,840 --> 00:20:41,600 Speaker 13: is growing about five to six percent year of year, 409 00:20:41,640 --> 00:20:44,520 Speaker 13: which is about two x the average GDP growth rate. 410 00:20:45,160 --> 00:20:47,560 Speaker 13: And most of that growth is actually coming through this 411 00:20:47,720 --> 00:20:52,040 Speaker 13: banking credit card loyalty segment. And there's some simple answers 412 00:20:52,240 --> 00:20:56,520 Speaker 13: and reasons for that. Fundamentally, the banks are offering really 413 00:20:56,520 --> 00:20:59,960 Speaker 13: compelling value propositions and rewards to customers that kind of 414 00:21:00,080 --> 00:21:03,439 Speaker 13: make these experiences some of the best places to book travel. 415 00:21:03,520 --> 00:21:03,639 Speaker 6: Right. 416 00:21:03,680 --> 00:21:06,440 Speaker 13: So to go back to my New Bank example, in Brazil, 417 00:21:07,000 --> 00:21:11,160 Speaker 13: New Bank is offering its customers zero percent APR free 418 00:21:11,160 --> 00:21:14,560 Speaker 13: installment financing for up to twelve months for all trips 419 00:21:14,560 --> 00:21:16,080 Speaker 13: booked in new travel. 420 00:21:16,880 --> 00:21:17,879 Speaker 12: That's very compelling. 421 00:21:17,960 --> 00:21:20,679 Speaker 13: I think the average APR rate for installment financing in 422 00:21:20,720 --> 00:21:23,400 Speaker 13: Brazil is thirty five percent elsewhere. 423 00:21:23,480 --> 00:21:24,600 Speaker 12: So that's one example. 424 00:21:25,040 --> 00:21:26,600 Speaker 13: When you look at Capital one, if you have the 425 00:21:26,640 --> 00:21:29,000 Speaker 13: Adventure X card here in the United States, you can 426 00:21:29,040 --> 00:21:31,320 Speaker 13: earn ten X points when you book a hotel on 427 00:21:31,400 --> 00:21:35,320 Speaker 13: Capital and Travel that's functionally ten percent back for your 428 00:21:35,359 --> 00:21:39,200 Speaker 13: next trip. You know, that makes a difference when travel 429 00:21:39,280 --> 00:21:40,440 Speaker 13: is such a large. 430 00:21:40,160 --> 00:21:44,520 Speaker 6: Category Dakota, just in my own household. I think this 431 00:21:44,600 --> 00:21:48,520 Speaker 6: is part of this is generational. Like the extent I 432 00:21:48,560 --> 00:21:50,880 Speaker 6: go to is I have a Chase card that's branded 433 00:21:50,880 --> 00:21:53,600 Speaker 6: with United because I'm captive to United here in New York. 434 00:21:53,680 --> 00:21:54,920 Speaker 3: Okay, So that's about it. 435 00:21:55,320 --> 00:21:59,040 Speaker 6: My daughter's got twenty seven different scams going any which way. 436 00:21:59,080 --> 00:22:02,480 Speaker 6: She's got it on spa readsheet about points here, points there. 437 00:22:02,480 --> 00:22:05,879 Speaker 6: What you need to do is it a younger generation 438 00:22:06,480 --> 00:22:09,919 Speaker 6: more aggressively, I guess using point to trying to manage 439 00:22:10,080 --> 00:22:12,280 Speaker 6: and capitalize on them. 440 00:22:12,520 --> 00:22:14,959 Speaker 13: I think short and series, yes, I mean the statistics 441 00:22:14,960 --> 00:22:19,280 Speaker 13: are pretty clear. Gen Z is the generation that uses 442 00:22:19,560 --> 00:22:22,879 Speaker 13: loyalty programs and credit card programs to book travel at 443 00:22:22,920 --> 00:22:25,720 Speaker 13: the highest clip of any generation by a lot. 444 00:22:26,880 --> 00:22:28,159 Speaker 7: Yeah, So how are they doing that? 445 00:22:28,240 --> 00:22:30,920 Speaker 8: I mean, how do you keep track and all these 446 00:22:30,920 --> 00:22:34,800 Speaker 8: partner airlines and all these you know, alliances between different 447 00:22:34,880 --> 00:22:37,119 Speaker 8: airlines and so on. Does that happen in the hotel 448 00:22:37,160 --> 00:22:40,399 Speaker 8: industry too? And you know who ultimately benefits from all 449 00:22:40,400 --> 00:22:40,560 Speaker 8: of this? 450 00:22:41,960 --> 00:22:45,160 Speaker 13: I think ultimately the consumer benefits because it's the bank 451 00:22:45,240 --> 00:22:49,560 Speaker 13: is functionally funding or offsetting the costs of these trips. 452 00:22:49,600 --> 00:22:52,200 Speaker 13: You know, the average persons taking four trips per years. 453 00:22:52,320 --> 00:22:54,719 Speaker 13: It's over ten percent of their total income. Humans are 454 00:22:54,720 --> 00:22:58,000 Speaker 13: spending on travel. So anything to make that more affordable, 455 00:22:58,040 --> 00:23:01,160 Speaker 13: I think just benefits the consumer. It benefits the economy, 456 00:23:01,560 --> 00:23:05,000 Speaker 13: benefits the local regions who are receiving the tours and 457 00:23:05,040 --> 00:23:08,879 Speaker 13: revenue and the tax revenue, and ultimately it benefits the suppliers, 458 00:23:08,960 --> 00:23:12,040 Speaker 13: right the airlines and hotels. The banks are making it 459 00:23:12,080 --> 00:23:15,520 Speaker 13: easier for travelers to go through their hotel and to 460 00:23:16,000 --> 00:23:18,600 Speaker 13: book a ticket on their airline. It is hard to 461 00:23:18,680 --> 00:23:22,000 Speaker 13: keep track, but I think a lot of people spreadsheet, 462 00:23:22,400 --> 00:23:25,320 Speaker 13: you know, can afford one or two premium credit cards. 463 00:23:26,000 --> 00:23:27,720 Speaker 13: You know, there's a limit to how many of those 464 00:23:27,760 --> 00:23:29,760 Speaker 13: you can have in your wallet. And you know, just 465 00:23:29,840 --> 00:23:32,440 Speaker 13: choose the best one and it's a great place to book. 466 00:23:32,680 --> 00:23:36,920 Speaker 3: Are the are the travel is the industry? Are they 467 00:23:37,720 --> 00:23:40,320 Speaker 3: embracing this? How do they view it? Is it? Is 468 00:23:40,359 --> 00:23:41,920 Speaker 3: it some way to grow their business? 469 00:23:43,280 --> 00:23:45,480 Speaker 13: Yes, I think in the United States is furthest along 470 00:23:45,520 --> 00:23:46,720 Speaker 13: of any country in the world. 471 00:23:47,280 --> 00:23:48,560 Speaker 12: You've seen this for years and years. 472 00:23:48,640 --> 00:23:48,760 Speaker 2: Right. 473 00:23:48,760 --> 00:23:50,720 Speaker 13: You can look at the earnings reports of the major 474 00:23:50,720 --> 00:23:53,880 Speaker 13: airlines in the US and a huge percentage of their 475 00:23:54,400 --> 00:23:58,080 Speaker 13: their income and especially their profit is related to their 476 00:23:58,119 --> 00:24:00,919 Speaker 13: loyalty program and selling the points to their co brand 477 00:24:01,160 --> 00:24:02,520 Speaker 13: credit card issuing partners. 478 00:24:03,760 --> 00:24:06,040 Speaker 12: So that that's a fundamental. 479 00:24:05,400 --> 00:24:08,520 Speaker 13: Part of the airline business that keeps it going, keeps 480 00:24:08,520 --> 00:24:11,800 Speaker 13: it profitable. Hotels more and more, especially with the large chains, 481 00:24:11,800 --> 00:24:14,440 Speaker 13: are doing those co brands and leaning into their points 482 00:24:14,440 --> 00:24:18,400 Speaker 13: program too. So the interoperability between the airline and hotel 483 00:24:18,480 --> 00:24:21,280 Speaker 13: points programs and the credit card programs is a huge 484 00:24:21,280 --> 00:24:23,920 Speaker 13: part of that. And then I would say the US 485 00:24:24,000 --> 00:24:27,000 Speaker 13: is very far ahead. And then what we're seeing as 486 00:24:27,119 --> 00:24:30,040 Speaker 13: in our business, we're doing a lot of global partnerships, 487 00:24:30,040 --> 00:24:32,200 Speaker 13: so we're seeing a lot of other countries have been 488 00:24:32,800 --> 00:24:34,560 Speaker 13: you know, a lot of companies in other countries have 489 00:24:34,600 --> 00:24:37,120 Speaker 13: been tracking what these American credit card issuers are doing 490 00:24:37,119 --> 00:24:39,960 Speaker 13: with the American travel suppliers are doing, and they want 491 00:24:39,960 --> 00:24:42,840 Speaker 13: to share in some of that success too, so they're 492 00:24:42,880 --> 00:24:44,879 Speaker 13: not as far ahead, but that's where we come in, 493 00:24:44,920 --> 00:24:48,600 Speaker 13: and we kind of can bring them the greatest technology, 494 00:24:48,640 --> 00:24:51,800 Speaker 13: the most innovative technology in the space and help them 495 00:24:51,960 --> 00:24:55,560 Speaker 13: kind of achieve those results in their markets for the 496 00:24:55,640 --> 00:24:56,199 Speaker 13: first time. 497 00:24:56,960 --> 00:25:01,639 Speaker 1: This is the Bloomberg Intelligence podcast of Bailable on Apple, Spotify, 498 00:25:01,840 --> 00:25:05,320 Speaker 1: and anywhere else you get your podcasts. 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