1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,960 Speaker 1: at Bloomberg dot com slash podcast. Let's continue our focus 7 00:00:24,040 --> 00:00:27,600 Speaker 1: on vaccine passports. I want to bring in Stephen Thomas. 8 00:00:27,600 --> 00:00:32,880 Speaker 1: He's a CEO of TPT Global Tech, uh, and they 9 00:00:33,000 --> 00:00:38,120 Speaker 1: are our tpt S med Tech is developing vaccine passport 10 00:00:38,120 --> 00:00:41,400 Speaker 1: and COVID health technology that's currently operational in one of 11 00:00:41,479 --> 00:00:45,120 Speaker 1: my favorite places in the world, Jamaica, mon in the 12 00:00:45,200 --> 00:00:50,040 Speaker 1: International airport there in Montego Bay. Travelers can move about 13 00:00:50,080 --> 00:00:53,480 Speaker 1: safely and freely. I guess if if, if this technology 14 00:00:53,520 --> 00:00:57,080 Speaker 1: works out. So Stephen, what are you guys doing? Hey, 15 00:00:57,080 --> 00:00:59,080 Speaker 1: thank you for having me on this morning. I appreciate 16 00:00:59,120 --> 00:01:01,720 Speaker 1: being on the show. And we're excited. So we're doing 17 00:01:01,720 --> 00:01:04,319 Speaker 1: some great stuff. Man. You know we uh, we're a 18 00:01:04,319 --> 00:01:07,000 Speaker 1: publicly traded company here in Sandy of California. You have 19 00:01:07,040 --> 00:01:09,640 Speaker 1: to say we're a small company with big ideas and 20 00:01:09,920 --> 00:01:13,280 Speaker 1: we have developed an end to end UH COVID management 21 00:01:13,640 --> 00:01:18,119 Speaker 1: solution technology platform, you know, where we create mobile labs 22 00:01:18,160 --> 00:01:20,480 Speaker 1: out of shipping containers where we actually do the testing 23 00:01:20,600 --> 00:01:23,640 Speaker 1: for COVID as well as vaccinations in our labs. And 24 00:01:23,640 --> 00:01:28,280 Speaker 1: we've also developed a software technology platform called click pass 25 00:01:28,280 --> 00:01:31,440 Speaker 1: where we're able to do the testing as well as 26 00:01:31,440 --> 00:01:35,319 Speaker 1: the vaccination tracking, tracking, and deliver a digital passport system. 27 00:01:35,360 --> 00:01:37,440 Speaker 1: And our system is up and running, you know, we 28 00:01:37,520 --> 00:01:41,520 Speaker 1: launched this back in August, so we're the first company 29 00:01:41,800 --> 00:01:44,520 Speaker 1: to actually put this out into the global marketplace where 30 00:01:44,600 --> 00:01:46,800 Speaker 1: and we're really excited to uh be the first to 31 00:01:46,840 --> 00:01:49,880 Speaker 1: do something like this. And as you mentioned, you know, Jamaica, Safemond. 32 00:01:49,960 --> 00:01:52,640 Speaker 1: We we are up and running in in Jamaica at 33 00:01:52,680 --> 00:01:57,560 Speaker 1: the Montego Bay Airport, UH and some of the resorts 34 00:01:57,560 --> 00:01:59,800 Speaker 1: like Scandals UH in the island. I think we've got 35 00:01:59,800 --> 00:02:03,360 Speaker 1: a to the level about eighteen different testing locations on 36 00:02:03,400 --> 00:02:06,240 Speaker 1: the island that we're in the process of onboarding. So 37 00:02:06,280 --> 00:02:08,600 Speaker 1: it's a very exciting, you know time for our publicly 38 00:02:08,600 --> 00:02:10,440 Speaker 1: traded company and what we're doing, you know out here 39 00:02:10,440 --> 00:02:12,600 Speaker 1: in San Diego and throughout the United States as well. 40 00:02:13,120 --> 00:02:14,840 Speaker 1: All Right, Steven, give us a sense of kind of 41 00:02:14,880 --> 00:02:18,360 Speaker 1: the deployment of your technology, because I know there's a 42 00:02:18,400 --> 00:02:20,440 Speaker 1: lot of solutions out there, but there's also a lot 43 00:02:20,440 --> 00:02:24,120 Speaker 1: of you know, frustration that the testing capabilities and the 44 00:02:24,160 --> 00:02:26,560 Speaker 1: testing tracking in the United States much less the rest 45 00:02:26,600 --> 00:02:29,680 Speaker 1: of the world, you know, hasn't really been as robust 46 00:02:29,680 --> 00:02:31,040 Speaker 1: as we would have liked. Give us a sense of 47 00:02:31,120 --> 00:02:34,280 Speaker 1: kind of where you guys are, well, what what we 48 00:02:34,400 --> 00:02:36,519 Speaker 1: what we like to speak of it kind of being 49 00:02:36,600 --> 00:02:38,200 Speaker 1: one of the first to put this out is that 50 00:02:38,480 --> 00:02:41,080 Speaker 1: we have the Indian solution. So what we're able to 51 00:02:41,120 --> 00:02:43,440 Speaker 1: do is we're able to either tact on our own 52 00:02:44,280 --> 00:02:48,160 Speaker 1: lab mobile labs, or we work with partner labs, right, 53 00:02:48,200 --> 00:02:51,359 Speaker 1: and they take that information and that's delivered through our 54 00:02:51,520 --> 00:02:56,120 Speaker 1: QuickPath technology platform to the end customers, subscribers. So what 55 00:02:56,200 --> 00:02:58,160 Speaker 1: happens is you go to one of our locations of 56 00:02:58,240 --> 00:03:00,240 Speaker 1: one of our part of locations, you get tested or 57 00:03:00,240 --> 00:03:02,880 Speaker 1: you get the vaccination. We tracked that information and we 58 00:03:02,960 --> 00:03:05,800 Speaker 1: send you a digital report via either the Internet or 59 00:03:05,800 --> 00:03:08,840 Speaker 1: to your phone, right and it's on a centralized platform. 60 00:03:08,919 --> 00:03:11,560 Speaker 1: So it's an amazing situation where you know, you're not 61 00:03:11,639 --> 00:03:14,520 Speaker 1: bringing two or three different companies together to try to 62 00:03:14,639 --> 00:03:18,320 Speaker 1: deliver the solution which could create, uh, you know, some 63 00:03:18,400 --> 00:03:21,760 Speaker 1: types of technology issues when you're bringing multiple companies together. 64 00:03:21,960 --> 00:03:24,040 Speaker 1: So we're an end in solution and I think it 65 00:03:24,160 --> 00:03:27,280 Speaker 1: worked incredibly well and we're excited of the results that 66 00:03:27,320 --> 00:03:29,359 Speaker 1: we're having in Jamaica. You know, when I was down 67 00:03:29,440 --> 00:03:31,840 Speaker 1: there and we're onboarding at the first day, you know, 68 00:03:31,880 --> 00:03:33,920 Speaker 1: there was like two or three people in line. They 69 00:03:33,919 --> 00:03:36,040 Speaker 1: had all the paper and there was the nurses and 70 00:03:36,200 --> 00:03:39,280 Speaker 1: putting out all that information. And by the time we left, 71 00:03:39,360 --> 00:03:41,800 Speaker 1: you know, it was just running so smooth. And there 72 00:03:41,960 --> 00:03:44,480 Speaker 1: they would come to the airport, you know, download the 73 00:03:45,080 --> 00:03:47,680 Speaker 1: quick pass app about the information intade of the app, 74 00:03:47,720 --> 00:03:50,680 Speaker 1: show their QR code, the nurses would do their test, 75 00:03:51,120 --> 00:03:53,440 Speaker 1: uh and then within you know, fifteen minutes, they would 76 00:03:53,440 --> 00:03:56,080 Speaker 1: get the results, walk up to the Delta or American 77 00:03:56,120 --> 00:03:59,640 Speaker 1: Airlines show their test report digitally on their phone. You know. 78 00:03:59,840 --> 00:04:02,440 Speaker 1: The the airlines know that it's secure because it's all 79 00:04:02,520 --> 00:04:07,000 Speaker 1: Hippo compliance secured uh de identified information, except for if 80 00:04:07,040 --> 00:04:09,720 Speaker 1: the person wants to actually show their i D. There 81 00:04:09,800 --> 00:04:11,640 Speaker 1: is a function where they hit a button and the 82 00:04:11,640 --> 00:04:14,040 Speaker 1: i D pops up on the screen so that that 83 00:04:14,160 --> 00:04:18,760 Speaker 1: airlines or or cruise line or supporting advantage to actually 84 00:04:18,839 --> 00:04:21,640 Speaker 1: verify that it's the actual person's phone and the person 85 00:04:21,760 --> 00:04:24,520 Speaker 1: who actually have the cast results and be able to 86 00:04:24,600 --> 00:04:27,640 Speaker 1: verify that. So is it exciting? Uh? Scenario that we 87 00:04:27,760 --> 00:04:31,320 Speaker 1: put together. I'm gonna tell you offline about the sweetest 88 00:04:31,320 --> 00:04:34,880 Speaker 1: spot in Jamaica. I don't want other people to know. 89 00:04:35,040 --> 00:04:39,320 Speaker 1: It's like a secret destination. But you mentioned Hippa and 90 00:04:40,320 --> 00:04:43,200 Speaker 1: as someone who I like to travel a lot, I 91 00:04:43,279 --> 00:04:46,280 Speaker 1: get in a lot of motorcycle accidents and I hate paperwork, 92 00:04:46,400 --> 00:04:49,360 Speaker 1: Hippa is like the bane of my existence. What is 93 00:04:49,400 --> 00:04:53,080 Speaker 1: it like working with this kind of regulation? Well, you 94 00:04:53,120 --> 00:04:56,479 Speaker 1: know what, we have a fantastic development team and we 95 00:04:56,520 --> 00:04:59,840 Speaker 1: are actually part of the whole Google back in Hippa 96 00:05:00,360 --> 00:05:03,480 Speaker 1: compliant engine, So we work very closely with Google and 97 00:05:03,520 --> 00:05:06,159 Speaker 1: that's why we're Hippo Climate and so it makes it 98 00:05:06,200 --> 00:05:08,000 Speaker 1: a lot easier for us to be able to do 99 00:05:08,040 --> 00:05:11,000 Speaker 1: what we do. So it's it's it's been actually a 100 00:05:11,040 --> 00:05:14,159 Speaker 1: good experience, a little little, little, some pain points, but 101 00:05:14,200 --> 00:05:15,599 Speaker 1: we were able to work through it and we have 102 00:05:15,640 --> 00:05:20,000 Speaker 1: a secure technology platform. All right, Steve, where are you 103 00:05:20,040 --> 00:05:23,920 Speaker 1: in terms of some maybe some other airports, some other airlines, 104 00:05:24,080 --> 00:05:26,719 Speaker 1: some other you know clients that you might be signing 105 00:05:26,760 --> 00:05:30,160 Speaker 1: up for your technology. Well, you know, there's other Caribbean 106 00:05:30,200 --> 00:05:32,880 Speaker 1: islands that we're in the process right now of breaking 107 00:05:33,000 --> 00:05:35,840 Speaker 1: up UH for example of the Bahamas, Turks and Keiko's. 108 00:05:36,360 --> 00:05:39,640 Speaker 1: We're talking with Trinidad, we're talking with UH Puerto Rico, 109 00:05:40,080 --> 00:05:42,039 Speaker 1: so we're pretty excited about that as well. You know, 110 00:05:42,160 --> 00:05:44,599 Speaker 1: it's really interesting. You know, we're in Miami. We have 111 00:05:44,640 --> 00:05:47,640 Speaker 1: our mobile labs at the day Lin mall and one 112 00:05:47,640 --> 00:05:51,280 Speaker 1: of the Walmart parking lots in Miami. We just entered 113 00:05:51,279 --> 00:05:54,840 Speaker 1: into an agreement with a national parking lots company. Believe 114 00:05:54,880 --> 00:05:56,760 Speaker 1: or not. They've got a little five thousand parking lots 115 00:05:56,800 --> 00:05:59,360 Speaker 1: across the United States and they've offered those parking lots 116 00:05:59,360 --> 00:06:02,719 Speaker 1: to US took to bring COVID testing and point of 117 00:06:02,760 --> 00:06:05,880 Speaker 1: care testing to their communities. It's a very interesting concept 118 00:06:05,920 --> 00:06:08,120 Speaker 1: with with UH, with this parking lot company. I was 119 00:06:08,240 --> 00:06:09,840 Speaker 1: very pleased that they reached out to us because I 120 00:06:09,839 --> 00:06:12,400 Speaker 1: think it's gonna be a fantastic partnership for US to 121 00:06:12,480 --> 00:06:15,840 Speaker 1: be able to be able to expand this technology across 122 00:06:15,880 --> 00:06:18,440 Speaker 1: the United States. Because look, it's not just for the airline, 123 00:06:18,800 --> 00:06:23,600 Speaker 1: it's also for restaurants, it's for concerts, it's for you know, schools, 124 00:06:23,720 --> 00:06:26,240 Speaker 1: colleges to be able to act. To sporting events. You know, 125 00:06:26,279 --> 00:06:30,280 Speaker 1: you get tested. You show up to a stadium, you 126 00:06:30,560 --> 00:06:33,479 Speaker 1: you show your pure code, and that stadium over that 127 00:06:33,520 --> 00:06:35,960 Speaker 1: team or whatever away team would know that those fans 128 00:06:36,000 --> 00:06:38,240 Speaker 1: coming into that game have all been tested in it's 129 00:06:38,240 --> 00:06:41,680 Speaker 1: twenty four hour periods. So the idea is that everybody 130 00:06:41,880 --> 00:06:44,719 Speaker 1: in that sporting event is COVID free. For example this 131 00:06:44,839 --> 00:06:48,080 Speaker 1: summer and tune into the Mississippi we're working with the 132 00:06:48,400 --> 00:06:51,120 Speaker 1: Chamber of Commisor and we're doing a concert on the 133 00:06:51,160 --> 00:06:55,000 Speaker 1: Mississippi River this summer. Fascinating stuff. Good luck to your company. 134 00:06:55,000 --> 00:07:01,320 Speaker 1: Stephen Thomas, CEO of TPT Global, more banted Tin, president 135 00:07:01,360 --> 00:07:05,560 Speaker 1: of s J Consulting, and talk a little bit about 136 00:07:05,839 --> 00:07:09,080 Speaker 1: what's going on with this big ship in the Suez 137 00:07:09,160 --> 00:07:12,440 Speaker 1: Canal SAT. I know it's huge, right, it's a quarter 138 00:07:12,560 --> 00:07:17,400 Speaker 1: mile long and it's two thousand tons whatever that means. Um, 139 00:07:17,520 --> 00:07:20,360 Speaker 1: why is it stuck in so hard? Can't they just 140 00:07:20,400 --> 00:07:22,440 Speaker 1: get some boats in a rope and like pull it out. 141 00:07:23,720 --> 00:07:27,720 Speaker 1: The boats will be We're getting pulled towards the ship 142 00:07:27,840 --> 00:07:33,120 Speaker 1: rather than pulling the ship away. It is a huge task. 143 00:07:33,840 --> 00:07:37,360 Speaker 1: It is so heavy that the tugboats are not gonna 144 00:07:37,400 --> 00:07:41,040 Speaker 1: make it. In my view, they will need to start 145 00:07:41,880 --> 00:07:45,360 Speaker 1: getting some of the containers off the ship to reduce 146 00:07:45,440 --> 00:07:48,400 Speaker 1: the weight on it and then they will have some success. 147 00:07:48,960 --> 00:07:53,120 Speaker 1: It is not an easy task, alright. So the image 148 00:07:53,160 --> 00:07:55,440 Speaker 1: that is in my mind is the one way we 149 00:07:55,480 --> 00:08:00,360 Speaker 1: have all seen is literally this monster's container ship. It's 150 00:08:00,400 --> 00:08:03,480 Speaker 1: abound buried into the uh, you know, the bank of 151 00:08:03,520 --> 00:08:07,760 Speaker 1: this canal and this little teeny tiny bacco with a 152 00:08:07,800 --> 00:08:10,720 Speaker 1: couple of guys trying to dig it out. It just 153 00:08:10,800 --> 00:08:14,720 Speaker 1: doesn't look like the canal was prepared for anything like this. 154 00:08:14,920 --> 00:08:17,640 Speaker 1: Why was that? Well? There a couple of factors. One 155 00:08:17,720 --> 00:08:20,680 Speaker 1: is the sizes of ships have gotten big over time 156 00:08:21,600 --> 00:08:26,360 Speaker 1: and they've never had to experience it. The maximum ship 157 00:08:26,480 --> 00:08:29,040 Speaker 1: that used to travel a few years ago would be 158 00:08:29,360 --> 00:08:33,240 Speaker 1: eight thousand, ten thousand, twelve thousand containers, and now they 159 00:08:33,240 --> 00:08:37,160 Speaker 1: are up to eighteen and twenty thousand, So they are 160 00:08:37,240 --> 00:08:40,400 Speaker 1: much bigger in size, and that means they're also heavier. 161 00:08:40,720 --> 00:08:43,880 Speaker 1: And when they are heavier, they tend to score further 162 00:08:44,360 --> 00:08:49,240 Speaker 1: below the level of the water and they then are 163 00:08:49,400 --> 00:08:54,400 Speaker 1: hitting the surface that they didn't imagine would be happening. 164 00:08:54,640 --> 00:08:57,760 Speaker 1: And then maybe some eroision taking place that is causing 165 00:08:57,840 --> 00:09:03,360 Speaker 1: that soil to further into the canal that has cost 166 00:09:03,440 --> 00:09:06,720 Speaker 1: us to happen. So he Twitter is having a field day. 167 00:09:06,920 --> 00:09:10,439 Speaker 1: The guy with a digger has an account on Twitter now. 168 00:09:10,520 --> 00:09:15,319 Speaker 1: Perike Patel, probably my favorite twitterer, has uh published a 169 00:09:15,360 --> 00:09:17,160 Speaker 1: bunch of schematics as to how they could deal with this. 170 00:09:17,240 --> 00:09:20,080 Speaker 1: Even I've in the case says this is bad um 171 00:09:20,320 --> 00:09:22,840 Speaker 1: bad risk management. They should have had a backup canal. 172 00:09:23,480 --> 00:09:27,240 Speaker 1: In seriousness, how big is this problem? Try and put 173 00:09:27,240 --> 00:09:29,400 Speaker 1: it in a scale for us, but for one, there 174 00:09:29,480 --> 00:09:32,040 Speaker 1: is no option to have a backup canal. Whoever thinks 175 00:09:32,280 --> 00:09:36,400 Speaker 1: that the chipping okay, yeah, you know, China is trying 176 00:09:36,400 --> 00:09:39,959 Speaker 1: to have a backup canal to the Panama on the 177 00:09:39,960 --> 00:09:43,439 Speaker 1: other end, and it is going to be decades of okay, 178 00:09:43,600 --> 00:09:47,360 Speaker 1: so this is not something they could have anticipated. It's 179 00:09:47,400 --> 00:09:51,280 Speaker 1: easy to do Monday morning quarterbacking on it. At this point, 180 00:09:51,679 --> 00:09:54,080 Speaker 1: they need to look at getting the weight of the 181 00:09:54,200 --> 00:09:57,640 Speaker 1: chip down from all the containers that are on it, 182 00:09:58,040 --> 00:10:01,280 Speaker 1: and then they will have ability to push it such 183 00:10:01,320 --> 00:10:04,040 Speaker 1: that at least it can not be blocking that tired 184 00:10:04,120 --> 00:10:07,400 Speaker 1: and at least one lane can continue as opposed to 185 00:10:07,480 --> 00:10:11,840 Speaker 1: them moving in both directions. All right, so what do 186 00:10:11,920 --> 00:10:15,880 Speaker 1: you believe is is this simply unload the ship, get 187 00:10:15,960 --> 00:10:19,400 Speaker 1: some bigger tugs in there. If that's in fact the case, 188 00:10:19,760 --> 00:10:22,480 Speaker 1: how many days slash weeks do you think we're looking 189 00:10:22,520 --> 00:10:25,560 Speaker 1: at here? I think they should be able to within 190 00:10:25,600 --> 00:10:28,120 Speaker 1: a week or ten days if they move quickly on 191 00:10:28,120 --> 00:10:32,959 Speaker 1: it and and do what the professionals no needs to 192 00:10:33,000 --> 00:10:36,440 Speaker 1: be done. Uh. But then and there is urgency because 193 00:10:37,080 --> 00:10:39,880 Speaker 1: the people who manage the Swiss Canal are losing revenue 194 00:10:40,080 --> 00:10:42,280 Speaker 1: that they get paid for every ship that goes through. 195 00:10:43,280 --> 00:10:48,040 Speaker 1: So there is incentive on everyone's part, including Evergreen, to 196 00:10:48,160 --> 00:10:53,959 Speaker 1: get this thing fiasco off there seen and away from 197 00:10:53,960 --> 00:10:57,480 Speaker 1: the media. Could the same thing happen in the Panama 198 00:10:57,559 --> 00:10:59,640 Speaker 1: Panama Canal? You bring up one of the other key 199 00:10:59,640 --> 00:11:04,679 Speaker 1: water ways in um in global logistics? What are the 200 00:11:04,760 --> 00:11:07,440 Speaker 1: what are the differences between the seas? And one difference 201 00:11:07,520 --> 00:11:11,439 Speaker 1: between the two major one is that the two water 202 00:11:11,600 --> 00:11:15,400 Speaker 1: bodies that Panama Canal connects are not at the same 203 00:11:15,800 --> 00:11:20,280 Speaker 1: sea level that the thirty foot difference between the Atlantic 204 00:11:20,320 --> 00:11:23,960 Speaker 1: Ocean and the Pacific at that place where the two 205 00:11:24,280 --> 00:11:29,480 Speaker 1: openings of the canal connect and they use locks gates basically. 206 00:11:29,520 --> 00:11:32,040 Speaker 1: I've seen it myself. I've been there where they fill 207 00:11:32,120 --> 00:11:36,400 Speaker 1: the water to raise the ship up to connect with 208 00:11:36,520 --> 00:11:38,880 Speaker 1: one side or to load it on the other side. 209 00:11:39,160 --> 00:11:42,280 Speaker 1: So if something like this was to happen in Panama, 210 00:11:42,520 --> 00:11:45,680 Speaker 1: they would be better prepared to deal with it. SWEZ 211 00:11:45,760 --> 00:11:50,880 Speaker 1: doesn't have that option. So it's interesting. Sets I mean, 212 00:11:51,120 --> 00:11:53,800 Speaker 1: is there an argument made that ships have gotten too 213 00:11:53,840 --> 00:11:57,360 Speaker 1: big park nows, not just for the canals, they've gotten 214 00:11:57,400 --> 00:12:00,160 Speaker 1: too big for the ports, and they even gotten too 215 00:12:00,160 --> 00:12:02,680 Speaker 1: big for the supply chain because when you have to 216 00:12:02,760 --> 00:12:08,480 Speaker 1: load a ship eighteen thousand containers, it takes several days 217 00:12:08,559 --> 00:12:12,520 Speaker 1: or weeks. So the merchandise that was prepared and needed 218 00:12:12,600 --> 00:12:16,800 Speaker 1: to be in the showrooms are stored and with consumers 219 00:12:17,120 --> 00:12:20,840 Speaker 1: are sitting at a port for twelve fifteen days to 220 00:12:20,880 --> 00:12:23,800 Speaker 1: be loaded on a ship and then traveling, and they 221 00:12:23,840 --> 00:12:26,280 Speaker 1: travel at a slower pace because of the heavier weight. 222 00:12:26,640 --> 00:12:30,600 Speaker 1: So you are extending the supply chain. Yes, you're absolutely right, 223 00:12:30,640 --> 00:12:33,480 Speaker 1: and I may add that you know that there was 224 00:12:33,480 --> 00:12:36,240 Speaker 1: a similar thing happening in the airline. Air was three 225 00:12:36,280 --> 00:12:40,800 Speaker 1: eighty double decker with passengers where that plane is had 226 00:12:40,840 --> 00:12:43,720 Speaker 1: its day, It's going to die and there will be 227 00:12:43,760 --> 00:12:46,480 Speaker 1: no more A three eight the same thing. I am 228 00:12:46,520 --> 00:12:49,920 Speaker 1: absolutely glad that you're raising the topic. This the ship's 229 00:12:49,920 --> 00:12:54,199 Speaker 1: approutant too big, Wow, fascinating, statiste. The Gindel, president of 230 00:12:54,320 --> 00:12:59,559 Speaker 1: SG consulting me appreciate your thoughts. There we have the 231 00:13:00,240 --> 00:13:04,600 Speaker 1: os of Facebook, Alphabet and Twitter. They are testifying they 232 00:13:04,640 --> 00:13:10,200 Speaker 1: will testify before Congress today, uh, talking about social privacy, 233 00:13:10,400 --> 00:13:13,640 Speaker 1: data security, and the roles that they may have played 234 00:13:13,679 --> 00:13:18,000 Speaker 1: in the Capital insurrection in January. Let's get a preview 235 00:13:18,000 --> 00:13:20,360 Speaker 1: of what we might hear. Jim Anderson, CEO of Social Flow, 236 00:13:20,960 --> 00:13:23,520 Speaker 1: based in New York City. In full disclosure, social Flow 237 00:13:23,679 --> 00:13:27,200 Speaker 1: is a platform used by Bloomberg for social media purposes. Jim, 238 00:13:27,200 --> 00:13:29,080 Speaker 1: thanks so much for joining us here. Is this gonna 239 00:13:29,120 --> 00:13:34,760 Speaker 1: be just another I guess, uh show by politicians or 240 00:13:34,800 --> 00:13:38,080 Speaker 1: can anything substantive get done at these hearings? Do you think? 241 00:13:39,080 --> 00:13:41,480 Speaker 1: I sure hope something substantificantly get done. I mean, the 242 00:13:41,520 --> 00:13:43,800 Speaker 1: show is, of course part of it. Congressional hearings are 243 00:13:43,840 --> 00:13:47,200 Speaker 1: are part spectacle by design. But I am really curious 244 00:13:47,200 --> 00:13:49,840 Speaker 1: to see whether we can get past that angry shaking 245 00:13:49,880 --> 00:13:52,960 Speaker 1: of this that text CEO phase of things and really 246 00:13:53,000 --> 00:13:54,760 Speaker 1: get into it. And I think what you're gonna see 247 00:13:54,800 --> 00:13:58,800 Speaker 1: here is how much research the staffs of these representatives 248 00:13:58,840 --> 00:14:01,079 Speaker 1: have done. Right. There's a lot of the work required 249 00:14:01,120 --> 00:14:04,040 Speaker 1: to come up with really intelligent and thoughtful questions, and 250 00:14:04,160 --> 00:14:06,400 Speaker 1: hopefully we'll get a signal that they're ready to move 251 00:14:06,400 --> 00:14:08,760 Speaker 1: beyond just talking and shaking their fists and start to 252 00:14:08,760 --> 00:14:13,200 Speaker 1: actually propose the solution. I often get the feeling that 253 00:14:13,200 --> 00:14:15,280 Speaker 1: the staff knows a heck of a lot more than 254 00:14:15,320 --> 00:14:20,400 Speaker 1: the representatives for whom they work, Uh, absolutely right. I 255 00:14:20,400 --> 00:14:23,880 Speaker 1: Mean sometimes I lose my faith in government when I 256 00:14:23,880 --> 00:14:27,840 Speaker 1: watch these things, because it really doesn't seem like these 257 00:14:27,840 --> 00:14:31,680 Speaker 1: elected officials are prepared at all to run a country, 258 00:14:31,800 --> 00:14:34,760 Speaker 1: let alone a hearing um. What what do you think 259 00:14:34,840 --> 00:14:39,080 Speaker 1: needs to be done about Facebook? About Google? I mean, 260 00:14:39,080 --> 00:14:45,960 Speaker 1: these huge platforms certainly have uh some some real dominance, 261 00:14:46,120 --> 00:14:49,800 Speaker 1: you know, bordering on anti trust issues they do. And 262 00:14:49,840 --> 00:14:53,440 Speaker 1: I think, you know, you can't you mentioned the exact 263 00:14:53,520 --> 00:14:56,840 Speaker 1: right word. I think antitrust really is the foundational issue 264 00:14:56,840 --> 00:14:58,880 Speaker 1: because if you look at what people object to is 265 00:14:58,880 --> 00:15:01,520 Speaker 1: it's primarily around eyes. Right. You know, these big giant 266 00:15:01,800 --> 00:15:05,600 Speaker 1: tech platforms, they're so huge, they're so hard to control. 267 00:15:05,640 --> 00:15:08,240 Speaker 1: I mean, the size honestly is at the root of 268 00:15:08,320 --> 00:15:10,840 Speaker 1: many and many of these complaints, and I think because 269 00:15:10,840 --> 00:15:13,160 Speaker 1: of that, we tend to over emphasize the role of 270 00:15:13,160 --> 00:15:17,560 Speaker 1: the platform and under emphasize the overall political situation. I mean, 271 00:15:17,680 --> 00:15:21,440 Speaker 1: if today's hearing is around misinformation, and obviously the the 272 00:15:21,480 --> 00:15:24,200 Speaker 1: insurrection and the events of the capital on January six 273 00:15:24,280 --> 00:15:26,640 Speaker 1: or are huge, But I mean, do you really think 274 00:15:26,640 --> 00:15:29,280 Speaker 1: that big tech caused that problem? By I don't think 275 00:15:29,320 --> 00:15:32,320 Speaker 1: most people believe tech caused it. They believe they contributed 276 00:15:32,320 --> 00:15:34,560 Speaker 1: to it. They may not believe they responded, you know, 277 00:15:34,840 --> 00:15:37,360 Speaker 1: as effectively as they could have. But I think we 278 00:15:37,360 --> 00:15:40,560 Speaker 1: we just tend to over emphasize what Facebook or Google 279 00:15:41,080 --> 00:15:44,320 Speaker 1: or or Twitter should do because of their sign Yeah, 280 00:15:44,360 --> 00:15:47,080 Speaker 1: it's interesting. I'm reading Jack Divine's new book. Jack Devine 281 00:15:47,160 --> 00:15:50,200 Speaker 1: was a former senior UH person at the c i 282 00:15:50,360 --> 00:15:51,840 Speaker 1: A back in the Cold War, and he's got a 283 00:15:51,880 --> 00:15:54,600 Speaker 1: new book out talking about UH. You know, how these 284 00:15:54,640 --> 00:15:59,120 Speaker 1: platforms have been used by the Russians to influence the election, 285 00:15:59,160 --> 00:16:01,880 Speaker 1: and how it's a big, big issue. So there's a 286 00:16:01,960 --> 00:16:06,600 Speaker 1: national security aspect to this. Um. If I were in Congress, 287 00:16:06,720 --> 00:16:10,240 Speaker 1: that would be where I would focus. Um, do you 288 00:16:10,280 --> 00:16:13,359 Speaker 1: think that's gonna be? Race has a big issue here today? 289 00:16:14,000 --> 00:16:17,080 Speaker 1: I tend to doubt it because it's such a partisan issue. Remember, 290 00:16:17,160 --> 00:16:19,680 Speaker 1: you know it used to be just as is easy 291 00:16:20,400 --> 00:16:23,280 Speaker 1: to paint Russia as a villain. Is anybody right and 292 00:16:23,320 --> 00:16:25,960 Speaker 1: look at the political situation over the past three four years, 293 00:16:26,000 --> 00:16:28,480 Speaker 1: though Russia was not, you know, the villain. In fact, 294 00:16:28,840 --> 00:16:30,120 Speaker 1: a lot of people would say that Russia is not 295 00:16:30,200 --> 00:16:32,520 Speaker 1: an issue at all. It's all about China. So I there, 296 00:16:32,520 --> 00:16:35,280 Speaker 1: I would agree with you that the national security is 297 00:16:35,280 --> 00:16:39,160 Speaker 1: a huge issue and and any adversary foreign or domestic, 298 00:16:39,200 --> 00:16:41,120 Speaker 1: if you will, is going to use the platforms and 299 00:16:41,160 --> 00:16:44,000 Speaker 1: tools available to them. I think the other thing that 300 00:16:44,040 --> 00:16:45,880 Speaker 1: we need to get into, you know, you've heard and 301 00:16:45,920 --> 00:16:48,600 Speaker 1: talked about this section to thirty reform quite a bit, 302 00:16:48,680 --> 00:16:51,720 Speaker 1: you know, the the idea that platforms are not liable 303 00:16:51,760 --> 00:16:54,120 Speaker 1: for what happens, and that seems morally offensive to a 304 00:16:54,120 --> 00:16:57,040 Speaker 1: lot of people. I'm really really curious now that President 305 00:16:57,120 --> 00:16:59,760 Speaker 1: former President Trump has said he's considering starting his own 306 00:16:59,760 --> 00:17:03,080 Speaker 1: self on network. Section to thirty is the biggest friend 307 00:17:03,120 --> 00:17:05,399 Speaker 1: you can imagine to a start up social network. So 308 00:17:05,440 --> 00:17:08,680 Speaker 1: I'm interested to see whether the Republicans actually go very 309 00:17:08,720 --> 00:17:11,719 Speaker 1: aggressively towards section two thirty. I would be willing to 310 00:17:11,800 --> 00:17:14,360 Speaker 1: guess that we will see a lot less enthusiasm from 311 00:17:14,400 --> 00:17:17,080 Speaker 1: the Republican side of things to talk about section two 312 00:17:17,119 --> 00:17:19,439 Speaker 1: thirty today. That so, I'm really lucky to see how 313 00:17:19,480 --> 00:17:25,360 Speaker 1: that plays out. When you look at former President Trump's influence, Jim, 314 00:17:25,359 --> 00:17:29,480 Speaker 1: has it grown since he left office? Has it subsided? 315 00:17:29,640 --> 00:17:33,200 Speaker 1: What do you see? It has very much subsided. It's funny. 316 00:17:33,200 --> 00:17:35,000 Speaker 1: We do it with something we call the Trump Index 317 00:17:35,040 --> 00:17:37,600 Speaker 1: every single day, where we basically just go and look at, okay, 318 00:17:37,600 --> 00:17:40,720 Speaker 1: what kind of media attention is former President Trump getting? 319 00:17:40,840 --> 00:17:43,879 Speaker 1: And you know, whereas during uh, you know, his presidency 320 00:17:43,880 --> 00:17:45,879 Speaker 1: and be somewhere around a fifty out of a hundred, 321 00:17:45,880 --> 00:17:47,800 Speaker 1: you know, now he's down around of five out of 322 00:17:47,800 --> 00:17:51,640 Speaker 1: a hundred. And that makes sense. We have former presidents typically, um, 323 00:17:51,680 --> 00:17:54,920 Speaker 1: you know, fade from public view. They don't you do things, 324 00:17:55,080 --> 00:17:58,280 Speaker 1: and they they uh, you know, they sort of retire 325 00:17:58,320 --> 00:18:00,399 Speaker 1: from public life. And we're seeing that. I think what 326 00:18:00,480 --> 00:18:03,520 Speaker 1: everybody is thinking about, though, is is he going to 327 00:18:03,600 --> 00:18:05,560 Speaker 1: make a comeback? And and have we heard the last 328 00:18:05,600 --> 00:18:07,879 Speaker 1: of them? And I certainly wouldn't predict it. We've heard 329 00:18:07,920 --> 00:18:10,399 Speaker 1: the last of them, Jim iSER. I guess there's been 330 00:18:10,400 --> 00:18:13,760 Speaker 1: some talk that he may consider starting up a online 331 00:18:13,760 --> 00:18:16,439 Speaker 1: network or maybe a cable network. I mean, what are 332 00:18:16,440 --> 00:18:20,399 Speaker 1: you hearing? Yeah, it's well, I think everybody is is 333 00:18:20,440 --> 00:18:23,440 Speaker 1: speculating about that. I think he is floating trial balloons. 334 00:18:23,480 --> 00:18:25,399 Speaker 1: Part of what's happening is these people are saying, Oh, 335 00:18:25,440 --> 00:18:27,040 Speaker 1: he's going to start a media company, he's going to 336 00:18:27,040 --> 00:18:29,399 Speaker 1: start a social network, He's going to do this, and 337 00:18:29,440 --> 00:18:31,439 Speaker 1: then let's see the reaction. You know that one of 338 00:18:31,440 --> 00:18:34,560 Speaker 1: the things he really is quite effective at is controlling 339 00:18:34,560 --> 00:18:36,679 Speaker 1: the narrative. You know, we always like to say, you know, 340 00:18:36,720 --> 00:18:38,600 Speaker 1: to the degree he had a superpower, it was not 341 00:18:38,640 --> 00:18:40,640 Speaker 1: the ability to tweet, it was the ability to get 342 00:18:40,680 --> 00:18:43,159 Speaker 1: the media company to cover what he tweeted. So I 343 00:18:43,160 --> 00:18:46,840 Speaker 1: think you're seeing a very carefully orchestrated floating of trial 344 00:18:46,840 --> 00:18:49,200 Speaker 1: balloons about these things and then just sort of see 345 00:18:49,240 --> 00:18:52,040 Speaker 1: what the how well they land with the marketplace, how 346 00:18:52,080 --> 00:18:54,000 Speaker 1: well they resonate. At first it was gonna be he's 347 00:18:54,040 --> 00:18:56,000 Speaker 1: definitely going to create a social network, and then he 348 00:18:56,080 --> 00:18:58,880 Speaker 1: himself said, well, I'm thinking about creating a social network. 349 00:18:59,040 --> 00:19:01,440 Speaker 1: I think the media company. He's fall into the same category. 350 00:19:01,560 --> 00:19:03,680 Speaker 1: So I don't know that he knows what he's going 351 00:19:03,720 --> 00:19:06,040 Speaker 1: to do next, but I would expect to continue to 352 00:19:06,080 --> 00:19:09,120 Speaker 1: see these trial balloons floated. Jim, thanks so much. Great 353 00:19:09,160 --> 00:19:12,160 Speaker 1: to get some time with you. Really fascinating stuff you're doing. 354 00:19:12,280 --> 00:19:16,520 Speaker 1: They're over at Social Flow. Jim Anderson is the CEO. 355 00:19:20,000 --> 00:19:22,680 Speaker 1: All right, let's revisit a story that was very much 356 00:19:22,680 --> 00:19:25,520 Speaker 1: into headlines recently when Walmart said they were getting into 357 00:19:25,560 --> 00:19:29,480 Speaker 1: the financial services business. Remember when they were gonna they are? 358 00:19:29,600 --> 00:19:32,520 Speaker 1: They announced they were starting a thin tech startup in 359 00:19:32,520 --> 00:19:34,959 Speaker 1: the US, and they hired the head of Goldman Sachs 360 00:19:35,240 --> 00:19:38,400 Speaker 1: Consumer Bank to lead it. Let's revisit that story. See 361 00:19:38,400 --> 00:19:41,480 Speaker 1: how it's going. We welcome Sarah Hall's actually covers all 362 00:19:41,520 --> 00:19:46,040 Speaker 1: things retail for Bloomberg Opinion. Sarah, this isn't the first time, 363 00:19:46,080 --> 00:19:49,160 Speaker 1: as I recall, that a big retailer wanted to get 364 00:19:49,160 --> 00:19:53,040 Speaker 1: into the financial services business Testco. I remember the big 365 00:19:53,320 --> 00:19:56,560 Speaker 1: UK retailer tried this a while ago, maybe a decade ago. 366 00:19:56,760 --> 00:20:01,400 Speaker 1: Didn't go so well. What's walmart strategy? Yeah, so Tesco, 367 00:20:01,640 --> 00:20:03,680 Speaker 1: you know, in the wake of the financial crisis, had 368 00:20:03,800 --> 00:20:06,840 Speaker 1: this insight that you know, the trust in big banks 369 00:20:06,960 --> 00:20:10,120 Speaker 1: was not super high, and that um, you know, perhaps 370 00:20:10,160 --> 00:20:13,440 Speaker 1: the affinity and loyalty its customers had for its brands 371 00:20:13,680 --> 00:20:16,560 Speaker 1: would create an opening for them to really disrupt the 372 00:20:16,600 --> 00:20:19,760 Speaker 1: banking sector. And fast forward to today and you know, 373 00:20:19,800 --> 00:20:23,720 Speaker 1: Tesco Banking arm is profitable, but it hasn't exactly let 374 00:20:23,760 --> 00:20:25,800 Speaker 1: the world on fire, right, And so that's kind of 375 00:20:25,800 --> 00:20:29,439 Speaker 1: the cautionary tale for Walmart. Here is canna avoid some 376 00:20:29,520 --> 00:20:32,960 Speaker 1: of those mistakes that Tesco made and can it um 377 00:20:33,000 --> 00:20:35,280 Speaker 1: you know, as opposed to just having this sort of 378 00:20:35,359 --> 00:20:38,280 Speaker 1: nice to have side business, can it really make these 379 00:20:38,320 --> 00:20:42,040 Speaker 1: fintech offerings um really disruptive for the sector and an 380 00:20:42,080 --> 00:20:46,639 Speaker 1: important part of its overall revenue and profit stream. My 381 00:20:46,720 --> 00:20:49,879 Speaker 1: first move would be to higher a big wig banker 382 00:20:49,960 --> 00:20:55,240 Speaker 1: from Goldman Sachs. Did Tesco try that? They They did not, 383 00:20:55,480 --> 00:20:58,560 Speaker 1: And look, I think that showed people how deadly serious 384 00:20:58,560 --> 00:21:02,200 Speaker 1: Walmart is about the initiative, and perhaps people should have 385 00:21:02,240 --> 00:21:04,760 Speaker 1: bread between the lines. That was the case already. UM. 386 00:21:04,840 --> 00:21:07,640 Speaker 1: The fact that when they initially announced the startup, they 387 00:21:07,760 --> 00:21:11,399 Speaker 1: put their us CEO, John Furner and their CFO Brett 388 00:21:11,400 --> 00:21:14,159 Speaker 1: Bigs on the board, clearly they would not devote the 389 00:21:14,240 --> 00:21:17,399 Speaker 1: time of people that seen here in their operation to 390 00:21:17,520 --> 00:21:20,600 Speaker 1: this startup if they didn't see it as utmost importance. 391 00:21:20,680 --> 00:21:23,720 Speaker 1: And I think the gold been higher really announced to 392 00:21:23,720 --> 00:21:25,840 Speaker 1: that in big bowl letters to the rest of the world. 393 00:21:26,400 --> 00:21:29,280 Speaker 1: All right, Sarah. So again, Tesco and sainsbury and UK 394 00:21:29,440 --> 00:21:34,359 Speaker 1: tried this what what wrong? Or what maybe didn't go 395 00:21:34,440 --> 00:21:37,639 Speaker 1: as right as they hoped? Yeah? So I think one 396 00:21:37,680 --> 00:21:40,160 Speaker 1: of the big things was they tried to go it alone. Um. 397 00:21:40,480 --> 00:21:44,679 Speaker 1: They after having in the nineties done joint ventures on 398 00:21:44,760 --> 00:21:47,680 Speaker 1: things like credit cards and such, in this post financial 399 00:21:47,680 --> 00:21:50,359 Speaker 1: crisis for a they tried to do it all by themselves. 400 00:21:50,400 --> 00:21:53,080 Speaker 1: And the problem was they got distracted from their core 401 00:21:53,119 --> 00:21:57,000 Speaker 1: grocery operations and all the and legal were able to 402 00:21:57,520 --> 00:21:59,520 Speaker 1: kind of make their way in there and take some 403 00:21:59,600 --> 00:22:02,280 Speaker 1: market here. You can see the clear parallel there to 404 00:22:02,359 --> 00:22:06,320 Speaker 1: Walmart situation. It's in this generational battle with Amazon right 405 00:22:06,400 --> 00:22:09,639 Speaker 1: to defend the business that it's physical stores and play 406 00:22:09,680 --> 00:22:12,880 Speaker 1: offense in e commerce, and if it gets distracted by 407 00:22:12,880 --> 00:22:16,320 Speaker 1: this shiny object of the fintech, that could be problematic. 408 00:22:16,600 --> 00:22:18,919 Speaker 1: I think one thing that's good about how Walmart has 409 00:22:18,960 --> 00:22:22,560 Speaker 1: set this up UM is unlike Testco it's not going 410 00:22:22,560 --> 00:22:24,879 Speaker 1: it alone. It did do this as a joint venture 411 00:22:25,440 --> 00:22:29,320 Speaker 1: with rivet Capital affirm that has extensive the experience backing 412 00:22:29,359 --> 00:22:32,880 Speaker 1: fintech companies and UM. Walmart hasn't said where the new 413 00:22:33,040 --> 00:22:36,000 Speaker 1: startup will be located, but I will wager it's not 414 00:22:36,040 --> 00:22:38,320 Speaker 1: going to be located in Benjainville. It's not going to 415 00:22:38,359 --> 00:22:41,120 Speaker 1: be near the Walmart mother ship. I think it will 416 00:22:41,160 --> 00:22:43,879 Speaker 1: be in New York or Silicon Valley UM, both because 417 00:22:43,920 --> 00:22:47,160 Speaker 1: that will be better for recruiting tech talent, but also 418 00:22:47,200 --> 00:22:49,640 Speaker 1: because I think it does draw this bright line UM 419 00:22:49,680 --> 00:22:52,560 Speaker 1: that makes it harder for uh, you know, the main 420 00:22:52,640 --> 00:22:55,600 Speaker 1: retail team to get distracted. So what's that kind of 421 00:22:55,640 --> 00:23:00,520 Speaker 1: look like? I mean Tesco you pointed out offered credit 422 00:23:00,560 --> 00:23:04,600 Speaker 1: cards and certain banking services to consumers. I know rivet 423 00:23:05,240 --> 00:23:08,640 Speaker 1: um helps people like buy now, pay later or gives 424 00:23:08,640 --> 00:23:11,320 Speaker 1: these installment plans. What what are we going to get 425 00:23:11,359 --> 00:23:15,879 Speaker 1: from Walmart as finance offering? So I would at what 426 00:23:15,920 --> 00:23:18,840 Speaker 1: we're not going to see is physical bank branches. I 427 00:23:18,880 --> 00:23:22,000 Speaker 1: think that's a pretty outmoded way of thinking about banking, 428 00:23:22,080 --> 00:23:24,879 Speaker 1: even though Walmart clearly has such an ability to do 429 00:23:24,920 --> 00:23:28,000 Speaker 1: so with you know, over four thousand stores in the US, 430 00:23:28,000 --> 00:23:30,440 Speaker 1: but I don't think that's where they're going to be focused. Um. 431 00:23:30,480 --> 00:23:34,520 Speaker 1: You know Dufo Brett Bigs has said, I think more sophisticated, 432 00:23:34,640 --> 00:23:39,000 Speaker 1: more digital, UM, and so I expect they'll be focused 433 00:23:39,040 --> 00:23:42,120 Speaker 1: on things that you know, you can do on your smartphone. 434 00:23:42,240 --> 00:23:45,119 Speaker 1: And look, you know Walmart's customer base UH is a 435 00:23:45,160 --> 00:23:48,959 Speaker 1: low income consumer UM. Many of them are unbanked or underbanked. 436 00:23:49,119 --> 00:23:51,200 Speaker 1: This is traditionally a segment that has not been well 437 00:23:51,240 --> 00:23:54,639 Speaker 1: served by the established banking industry. And I bet you 438 00:23:54,680 --> 00:23:56,840 Speaker 1: can expect to see products or sort of focus on 439 00:23:57,000 --> 00:24:01,560 Speaker 1: that customers that specific needs. Also, you know, Walmart employees 440 00:24:01,560 --> 00:24:04,720 Speaker 1: over a million people UM, and I can see UH 441 00:24:05,040 --> 00:24:08,520 Speaker 1: trying to make some products that appeals directly to its associates, 442 00:24:08,800 --> 00:24:13,080 Speaker 1: maybe you know, ways to distribute their paychecks or that 443 00:24:13,160 --> 00:24:16,120 Speaker 1: kind of thing. Sir. What's the sense of timing here 444 00:24:16,160 --> 00:24:19,359 Speaker 1: for Walmart? Is this? If they laid out any any 445 00:24:19,359 --> 00:24:21,919 Speaker 1: timing parameters here for rolling this out or when it 446 00:24:22,000 --> 00:24:26,920 Speaker 1: might reach scale, they have not. They've been pretty tight 447 00:24:26,960 --> 00:24:30,560 Speaker 1: lipped about it. But look, I think Walmart is urgently 448 00:24:30,600 --> 00:24:34,040 Speaker 1: trying to find our revenue streams and profit streams that 449 00:24:34,080 --> 00:24:36,919 Speaker 1: are not its core retail business. We see this in 450 00:24:37,040 --> 00:24:39,520 Speaker 1: other areas, right. They are trying to build up in 451 00:24:39,640 --> 00:24:43,200 Speaker 1: advertising business as well, um, and they're doing more forays 452 00:24:43,280 --> 00:24:46,760 Speaker 1: into health care services and they're doing that to uh 453 00:24:46,920 --> 00:24:50,080 Speaker 1: they see the model that Amazon has had and they 454 00:24:50,119 --> 00:24:53,840 Speaker 1: they sort of want a piece of that. Amazon. You know, 455 00:24:53,840 --> 00:24:56,960 Speaker 1: its retail business is what it's uh, perhaps most well 456 00:24:57,000 --> 00:25:00,080 Speaker 1: known for, but it's cloud computing services have the a 457 00:25:00,160 --> 00:25:04,520 Speaker 1: core way of boosting profitability, and now it has, through 458 00:25:04,560 --> 00:25:08,760 Speaker 1: its advertising business, yet another really profitable revenue stream. And 459 00:25:08,800 --> 00:25:11,520 Speaker 1: I think Walmart knows that if it wants to continue 460 00:25:11,560 --> 00:25:15,159 Speaker 1: to have rock bottom prices but subsidize free shipping to 461 00:25:15,240 --> 00:25:17,840 Speaker 1: all of our doorsteps in a more e commerce centric world, 462 00:25:18,119 --> 00:25:20,200 Speaker 1: it is going to have to figure out other ways 463 00:25:20,240 --> 00:25:22,920 Speaker 1: to find unlock revenue and profit. And that's what the 464 00:25:22,960 --> 00:25:25,480 Speaker 1: spin tech star up is all about. It's pretty interesting 465 00:25:25,480 --> 00:25:27,399 Speaker 1: that they have, don't They have like a hundred and 466 00:25:27,440 --> 00:25:31,560 Speaker 1: fifty million people going into Walmart every year, like separate customers. 467 00:25:31,560 --> 00:25:35,000 Speaker 1: That's half of the country every week. I think is 468 00:25:35,040 --> 00:25:39,320 Speaker 1: actually that that figure globally UM And so yes, they 469 00:25:39,320 --> 00:25:43,040 Speaker 1: have an extraordinary amount of data about no loyalty cards. 470 00:25:43,080 --> 00:25:45,960 Speaker 1: There's no um you know, there's no like Starbucks card 471 00:25:46,000 --> 00:25:48,480 Speaker 1: for Walmart. You can't get your tenth coffee free or 472 00:25:48,480 --> 00:25:52,439 Speaker 1: anything exactly exactly, so they don't have And look, that 473 00:25:52,560 --> 00:25:56,000 Speaker 1: was something that UK supermarkets did have rights that traditional 474 00:25:56,040 --> 00:25:58,800 Speaker 1: loyalty cards that you swipe at every purchase UM. So 475 00:25:58,960 --> 00:26:01,560 Speaker 1: Walmart does not. That that's been kind of anesthema to 476 00:26:01,600 --> 00:26:04,399 Speaker 1: their everyday low price model. UM. But they do have 477 00:26:04,520 --> 00:26:06,560 Speaker 1: a tremendous amount of data about what you do in stores. 478 00:26:06,760 --> 00:26:08,760 Speaker 1: They have a tremendous amount of data about what you 479 00:26:08,840 --> 00:26:11,000 Speaker 1: do on its website. And they're about to have a 480 00:26:11,080 --> 00:26:15,080 Speaker 1: new uh it's sort of data bit to monetized in 481 00:26:15,119 --> 00:26:18,080 Speaker 1: their Walmart Plus program UM. So this is a new 482 00:26:18,080 --> 00:26:19,760 Speaker 1: thing they've rolled out. It's sort of their answer to 483 00:26:19,800 --> 00:26:22,800 Speaker 1: Amazon Prime. It's a ninety eight dollar a year membership 484 00:26:22,920 --> 00:26:27,760 Speaker 1: where you get free grocery delivery and other things, free shipping, 485 00:26:27,800 --> 00:26:31,160 Speaker 1: no minimum, certain other perks UM. And that will be 486 00:26:31,960 --> 00:26:35,400 Speaker 1: another way to sort of learn about its customers, especially 487 00:26:35,480 --> 00:26:38,080 Speaker 1: it's most loyal customers UM. And that should just be 488 00:26:38,480 --> 00:26:41,040 Speaker 1: yet another bit of data that it can theoretically harnessed 489 00:26:41,119 --> 00:26:43,600 Speaker 1: to figure out what kind of product makes sense for 490 00:26:43,640 --> 00:26:47,240 Speaker 1: its consumer UM and what kind of products they're looking for, 491 00:26:48,200 --> 00:26:51,880 Speaker 1: all right, very interesting stuff. Uh. Sarah wrote this opinion 492 00:26:51,920 --> 00:26:56,119 Speaker 1: piece with Andrea Andrea Felstead. So Sarah hall'za and Andrea 493 00:26:56,160 --> 00:26:58,880 Speaker 1: Felt can be found on Bloomberg Opinion. You just have opie. 494 00:26:59,480 --> 00:27:02,680 Speaker 1: I am go. I wonder how much of Walmart's stuff 495 00:27:02,880 --> 00:27:05,639 Speaker 1: is sitting in the Suez Canal right now. They probably 496 00:27:05,640 --> 00:27:08,399 Speaker 1: have a bunch of stuff. Thanks for listening to the 497 00:27:08,400 --> 00:27:12,320 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 498 00:27:12,359 --> 00:27:16,640 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 499 00:27:16,680 --> 00:27:20,480 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller venty three. 500 00:27:20,880 --> 00:27:23,360 Speaker 1: Pet On Fall Sweeney I'm on Twitter at pt Sweeney. 501 00:27:23,400 --> 00:27:26,080 Speaker 1: Before the podcast, you can always catch us worldwide at 502 00:27:26,080 --> 00:27:26,840 Speaker 1: Bloomberg Radio