1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,000 Speaker 1: at Bloomberg dot com Slash podcast. Really strong numbers out 7 00:00:23,000 --> 00:00:26,160 Speaker 1: of a lot of retailers and particularly Amazon last night. 8 00:00:26,239 --> 00:00:28,960 Speaker 1: Let's bring in our good friend Burt Flickinger, managing director 9 00:00:28,960 --> 00:00:32,320 Speaker 1: at Strategic Resource Group. He is the go to person 10 00:00:32,360 --> 00:00:35,920 Speaker 1: on all things retail in Bert. We saw some really 11 00:00:35,960 --> 00:00:38,600 Speaker 1: impressive numbers out of the e commerce giant last night, 12 00:00:38,640 --> 00:00:42,560 Speaker 1: didn't We were very impressive numbers And what it really 13 00:00:42,960 --> 00:00:50,160 Speaker 1: uh synthesizes is Jeff Bezos and to his credit McKenzie Bezos, 14 00:00:50,240 --> 00:00:53,080 Speaker 1: his first wife, who helped co find the company, really 15 00:00:53,120 --> 00:00:59,520 Speaker 1: taking a victory lap with six consecutive quarters of beating estimates, 16 00:00:59,520 --> 00:01:02,600 Speaker 1: significant of late. And the key thing now is Amazon, 17 00:01:03,200 --> 00:01:05,039 Speaker 1: by this time next year is going to be the 18 00:01:05,040 --> 00:01:10,280 Speaker 1: biggest retailer worldwide, eclips in Walmart and everyone else. So 19 00:01:10,920 --> 00:01:13,720 Speaker 1: what is the future like then for investors? I mean, 20 00:01:13,840 --> 00:01:17,360 Speaker 1: we saw a record EPs, but Jeff Bezos has been 21 00:01:17,400 --> 00:01:20,039 Speaker 1: known to turn the tap on and turn the tap 22 00:01:20,080 --> 00:01:25,520 Speaker 1: off in terms of profits. And that's a great, great question, 23 00:01:25,560 --> 00:01:29,720 Speaker 1: Matt and Uh. For us, the key thing is on 24 00:01:29,920 --> 00:01:34,080 Speaker 1: tap on and off is Bezos and Amazon are increasing 25 00:01:34,200 --> 00:01:39,120 Speaker 1: cap acts or capital expenditures by over a hundred year 26 00:01:39,200 --> 00:01:44,080 Speaker 1: over years. So the number to look at is a 27 00:01:44,160 --> 00:01:47,840 Speaker 1: hundred and eighty five distribution centers worldwide. They'll have more 28 00:01:47,920 --> 00:01:52,000 Speaker 1: distribution centers in Walmart and everyone else, more efficient, more 29 00:01:52,040 --> 00:01:57,920 Speaker 1: effective in What's particularly telling in Amazon's release is that 30 00:01:58,000 --> 00:02:02,960 Speaker 1: everything solar and sustainable houred. So Amazon's making money from 31 00:02:03,000 --> 00:02:07,640 Speaker 1: solar and using it to lower prices. And the perfect 32 00:02:07,680 --> 00:02:11,280 Speaker 1: compare and contrast is Long Beach, where Kroger and others 33 00:02:11,280 --> 00:02:14,960 Speaker 1: would not pay Hero pay and they would not put 34 00:02:15,000 --> 00:02:18,840 Speaker 1: solar on the roofs to save money, made money, lower prices, 35 00:02:18,880 --> 00:02:23,040 Speaker 1: and increased workers wages Amazon does. Kroger's closing up in 36 00:02:23,080 --> 00:02:27,079 Speaker 1: Long Beach, California, and Amazon's opening it's it's new Amazon 37 00:02:27,200 --> 00:02:31,960 Speaker 1: Fresh stores there. Uh to take run the table from 38 00:02:32,040 --> 00:02:37,480 Speaker 1: California to the East coast. But it's just yeah, just extraordinary. 39 00:02:37,520 --> 00:02:41,040 Speaker 1: I'm wondering about kind of their geographic footprint here, I'm 40 00:02:41,040 --> 00:02:43,600 Speaker 1: just looking at the p g PGeo function on the 41 00:02:43,600 --> 00:02:45,960 Speaker 1: Bloomberg terminal gives you a geographic breakdown of the revenue 42 00:02:46,000 --> 00:02:50,600 Speaker 1: about six in North America International. Then the rest is aws, 43 00:02:51,400 --> 00:02:54,840 Speaker 1: do you expect Amazon to increased investments is to try 44 00:02:54,880 --> 00:03:02,200 Speaker 1: to really grow their international footprint? Yeah, Paul, definitely. Amazon's 45 00:03:02,240 --> 00:03:06,040 Speaker 1: international growth that you're good point is fifty seven percent 46 00:03:06,200 --> 00:03:13,880 Speaker 1: versus UH overall UH total total corporate growth. And international's 47 00:03:14,639 --> 00:03:18,200 Speaker 1: going to be a tremendous opportunity as both the COVID 48 00:03:18,280 --> 00:03:23,440 Speaker 1: nineteen pandemic and combined with the accelerating ice age worldwide, 49 00:03:23,840 --> 00:03:28,679 Speaker 1: Amazon is just just going to replace shopping centers and 50 00:03:29,160 --> 00:03:33,760 Speaker 1: shopping malls. And look at Amazon's landing page for Mother's Day, 51 00:03:34,000 --> 00:03:36,720 Speaker 1: you don't have to go any place to get anything 52 00:03:37,080 --> 00:03:41,000 Speaker 1: from chocolate, candy to close to tech. Uh. And Amazon 53 00:03:41,120 --> 00:03:43,120 Speaker 1: International is going to be a big part of the 54 00:03:43,160 --> 00:03:46,240 Speaker 1: growth story going forward. And Paul, the reason why you're 55 00:03:46,320 --> 00:03:50,120 Speaker 1: questioning on international is so important is Ali Baba with 56 00:03:50,240 --> 00:03:54,720 Speaker 1: Singles Day generated thirty point seven billion and one day 57 00:03:54,840 --> 00:03:58,520 Speaker 1: last year, Amazon Prime in two days generated ten point 58 00:03:58,600 --> 00:04:01,720 Speaker 1: four billion. So if Amazon is adding two to three 59 00:04:01,760 --> 00:04:05,680 Speaker 1: more Prime days a year, and then add singles day internationally. 60 00:04:06,200 --> 00:04:11,320 Speaker 1: Uh Amazon, Amazon can beat everybody uh in in e 61 00:04:11,560 --> 00:04:15,680 Speaker 1: retail and the one Achilles seal for Amazon right that, 62 00:04:15,880 --> 00:04:18,760 Speaker 1: right now is food retail, where the cops are still negative. 63 00:04:18,839 --> 00:04:22,320 Speaker 1: And and as you mentioned the prior segment concerns about 64 00:04:22,320 --> 00:04:24,800 Speaker 1: the Federal Grade Commission. But it doesn't look like there's 65 00:04:24,839 --> 00:04:27,360 Speaker 1: any an a trust in the future either. I mean, 66 00:04:27,400 --> 00:04:29,920 Speaker 1: it's gonna be hard to beat local there. I have 67 00:04:30,279 --> 00:04:33,960 Speaker 1: here in Berlin occasionally looked at getting food off of Amazon, 68 00:04:34,600 --> 00:04:37,560 Speaker 1: but it's not as good as we've got local services 69 00:04:37,560 --> 00:04:40,880 Speaker 1: like Guerrillas that deliver in literally ten minutes, I mean 70 00:04:40,920 --> 00:04:44,239 Speaker 1: sometimes less than ten minutes um. And I've become addicted 71 00:04:44,279 --> 00:04:47,520 Speaker 1: to that. I wonder though, in the bigger picture, bur 72 00:04:47,640 --> 00:04:49,840 Speaker 1: you mentioned at the top that Amazon is going to 73 00:04:49,960 --> 00:04:54,039 Speaker 1: overtake Walmart as the biggest retailer in the world. The 74 00:04:54,080 --> 00:04:57,120 Speaker 1: Walton family can't take this lying down, right, Doug McMillan 75 00:04:57,160 --> 00:05:00,440 Speaker 1: has to do something about it. Walmart's got you know, 76 00:05:00,480 --> 00:05:06,280 Speaker 1: a million more employees than Amazon, and their market cap 77 00:05:06,520 --> 00:05:09,600 Speaker 1: is less than a fourth of Amazon. They're trading for 78 00:05:09,640 --> 00:05:15,200 Speaker 1: three billion dollars. Amazon's trading from one trillion what can 79 00:05:15,240 --> 00:05:18,080 Speaker 1: Walmart do about this to try and class some of 80 00:05:18,120 --> 00:05:23,520 Speaker 1: that back. Walmart can win on food, Matt and that's 81 00:05:23,880 --> 00:05:29,400 Speaker 1: that's Ben Ben, Amazon's on going Achilles Heel and uh Walt, 82 00:05:29,560 --> 00:05:33,920 Speaker 1: Walmart will be able to deliver to of the US 83 00:05:34,000 --> 00:05:37,839 Speaker 1: population by the end of this year. So Amazon wins, 84 00:05:37,880 --> 00:05:42,000 Speaker 1: Walmart wins, Target wins, just about everybody else loses. And 85 00:05:42,000 --> 00:05:45,279 Speaker 1: and what I like about your Berlin comment is you 86 00:05:45,320 --> 00:05:49,359 Speaker 1: know better than I do, uh gallery kalpof Karstat. A 87 00:05:49,400 --> 00:05:52,880 Speaker 1: lot of the department stores have either closed or cut 88 00:05:52,920 --> 00:05:59,080 Speaker 1: back in Germany and throughout the EU, and Amazon's growing 89 00:05:59,080 --> 00:06:02,279 Speaker 1: and replacing the bricks and mortar stores. And what's notable 90 00:06:03,040 --> 00:06:07,479 Speaker 1: your time about Berlin and Europe is Walmart failed with 91 00:06:07,520 --> 00:06:13,680 Speaker 1: all three formats in continental Europe. So where Walmart's failed, uh, Korea, 92 00:06:14,000 --> 00:06:18,120 Speaker 1: Germany and elsewhere. Amazon's winning just about everywhere, and we'll 93 00:06:18,120 --> 00:06:22,320 Speaker 1: continue to win. Yeah. Absolutely. I mean going online is 94 00:06:22,360 --> 00:06:24,960 Speaker 1: a more pleasant experience than going into a calf off, 95 00:06:25,000 --> 00:06:26,680 Speaker 1: I'll tell you that. And and a cars dot and 96 00:06:26,720 --> 00:06:29,440 Speaker 1: they are we see him closing left and right around here. Bert, 97 00:06:29,440 --> 00:06:31,800 Speaker 1: thanks so much for joining us. Bert Flickings, you're there 98 00:06:31,800 --> 00:06:34,560 Speaker 1: talking to us about Amazon he's a managing director at 99 00:06:34,560 --> 00:06:41,839 Speaker 1: Strategic Resource Group. Well here in the United States, the 100 00:06:41,960 --> 00:06:44,320 Speaker 1: story about the vaccines is a very positive one as 101 00:06:44,400 --> 00:06:47,640 Speaker 1: vaccine rates continue to increase, and that has a corresponding 102 00:06:48,160 --> 00:06:51,359 Speaker 1: uh impact on the economy, as economy begins to open up. 103 00:06:51,360 --> 00:06:53,440 Speaker 1: And of course you you can trast that with what 104 00:06:53,560 --> 00:06:56,120 Speaker 1: Matt's experiencing in Germany and across Europe. Just you know, 105 00:06:56,200 --> 00:06:58,200 Speaker 1: it looks like there's several months behind then of course 106 00:06:58,800 --> 00:07:02,240 Speaker 1: the tragedy that's unfull thing UH in UH India just 107 00:07:02,320 --> 00:07:05,839 Speaker 1: goes to the importance of getting folks facted up and 108 00:07:05,839 --> 00:07:08,520 Speaker 1: and all through this process we've been fortunate to speak 109 00:07:08,560 --> 00:07:11,640 Speaker 1: to experts such as Lauren Sour, the Associate Professor of 110 00:07:11,640 --> 00:07:15,160 Speaker 1: Emergency Medicine at the Johns Hopkins University. And I should 111 00:07:15,200 --> 00:07:17,040 Speaker 1: not that the Bloomberg School of Public Health a Johns 112 00:07:17,080 --> 00:07:20,280 Speaker 1: Hopkins is supported by Michael Arre Bloomberg, founder Bloomberg LP, 113 00:07:20,320 --> 00:07:24,360 Speaker 1: Bloomberg Philanthropies and this radio and TV operation. Uh Dr 114 00:07:24,440 --> 00:07:26,640 Speaker 1: Sour thanks so much for joining us here. I guess 115 00:07:26,720 --> 00:07:28,760 Speaker 1: I want to go to the issue of what we 116 00:07:28,880 --> 00:07:33,800 Speaker 1: heard recently from the CDC about mass and just you know, behavior, 117 00:07:33,840 --> 00:07:37,120 Speaker 1: individual behaviors as more and more people get vaccinated in 118 00:07:37,120 --> 00:07:40,800 Speaker 1: this country. Do you think the messaging is matching what's 119 00:07:40,800 --> 00:07:45,160 Speaker 1: really going on out there in society. That's a great question. 120 00:07:45,240 --> 00:07:47,320 Speaker 1: I think there is a little bit of a disconnect. 121 00:07:47,320 --> 00:07:50,080 Speaker 1: And there's also this sense of, um, you know, we're 122 00:07:50,080 --> 00:07:53,080 Speaker 1: getting vaccinated, we're doing the work. Now, please let us 123 00:07:53,320 --> 00:07:55,560 Speaker 1: get out there and get pick our masks off and 124 00:07:55,880 --> 00:07:58,960 Speaker 1: be free, you know, and I completely understand that, you know, 125 00:07:59,040 --> 00:08:01,000 Speaker 1: we we do want things to get back to normal. 126 00:08:01,120 --> 00:08:04,400 Speaker 1: I think, um, there could have been a little more 127 00:08:04,400 --> 00:08:09,120 Speaker 1: explicit information in that updated CDC guidance on masking that 128 00:08:09,160 --> 00:08:11,440 Speaker 1: we would have liked to see around, like office usage 129 00:08:11,440 --> 00:08:13,800 Speaker 1: and things like that. But it is good to see 130 00:08:13,800 --> 00:08:17,240 Speaker 1: the CDC acknowledging the safety of the outdoor space, especially 131 00:08:17,280 --> 00:08:19,520 Speaker 1: as we move into summer and people are anxious to 132 00:08:19,520 --> 00:08:22,600 Speaker 1: get out there to those outdoor restaurants, you know, outdoor settings, 133 00:08:23,040 --> 00:08:25,240 Speaker 1: um and be with family members who are vaccinated or 134 00:08:25,280 --> 00:08:29,040 Speaker 1: friends who are vaccinated. Again. You know, it does seem 135 00:08:29,080 --> 00:08:31,920 Speaker 1: like it's kind of silly to wear a mask outside 136 00:08:31,960 --> 00:08:35,960 Speaker 1: to begin with, right, it seems very performative, like you're 137 00:08:36,040 --> 00:08:39,720 Speaker 1: sort of stating your political opinion more than really trying 138 00:08:39,760 --> 00:08:43,480 Speaker 1: to protect somebody because it's so unlikely to catch the 139 00:08:43,559 --> 00:08:48,040 Speaker 1: virus in an outdoor setting. Yeah, I mean, I think, 140 00:08:48,280 --> 00:08:51,240 Speaker 1: you know, the guidance was catching up with the science, right, 141 00:08:51,280 --> 00:08:54,040 Speaker 1: And so one of the most impressive things that has 142 00:08:54,080 --> 00:08:56,360 Speaker 1: happened in the last year year and a half is 143 00:08:56,760 --> 00:08:59,600 Speaker 1: how quickly science has happened and how we're rapidly trying 144 00:08:59,640 --> 00:09:02,960 Speaker 1: to learn learn about all these different settings about aerosol transmission, 145 00:09:02,960 --> 00:09:06,680 Speaker 1: about contact transmission, like everything about this virus is new 146 00:09:06,840 --> 00:09:10,160 Speaker 1: when this pandemic started, and so we know that the 147 00:09:10,520 --> 00:09:14,040 Speaker 1: sort of regulatory environment and the policy environment has a lag. 148 00:09:14,120 --> 00:09:16,240 Speaker 1: And so I think this is what we're seeing as 149 00:09:16,280 --> 00:09:19,000 Speaker 1: policy and guidance catching up with the science and you know, 150 00:09:19,080 --> 00:09:21,280 Speaker 1: the sort of exactly what you're talking about. The things 151 00:09:21,320 --> 00:09:24,160 Speaker 1: we see we already feel to be inherent. So the 152 00:09:24,200 --> 00:09:27,400 Speaker 1: science is there, the policy is catching up, and people 153 00:09:27,520 --> 00:09:33,320 Speaker 1: can take advantage of that guidance and those recommendations. Uh, Lauren, 154 00:09:33,400 --> 00:09:35,640 Speaker 1: when do you think we'll know? When will the science 155 00:09:35,840 --> 00:09:41,120 Speaker 1: come in about perhaps how long these vaccines actually work? 156 00:09:41,240 --> 00:09:42,920 Speaker 1: Is it six months? Is at twelve months? Is it 157 00:09:43,200 --> 00:09:45,520 Speaker 1: longer than that? And obviously that will go to what 158 00:09:45,559 --> 00:09:47,880 Speaker 1: we do, you know, roughly a year from now. I 159 00:09:47,960 --> 00:09:50,080 Speaker 1: know studies are being done. When do you think that 160 00:09:50,120 --> 00:09:53,559 Speaker 1: science will be available? Yeah, I think it's already coming in. 161 00:09:53,640 --> 00:09:56,120 Speaker 1: I mean, I think we're starting to We're watching those 162 00:09:56,160 --> 00:09:59,800 Speaker 1: first groups of vaccinies who are actually probably on their 163 00:10:00,080 --> 00:10:03,320 Speaker 1: or dose from from the people who participated in the studies. 164 00:10:03,360 --> 00:10:06,400 Speaker 1: So they're getting their boosters to see what they're um, 165 00:10:06,440 --> 00:10:09,640 Speaker 1: you know, what they're waning intibodies look like and UM 166 00:10:09,679 --> 00:10:11,880 Speaker 1: and that data, those data are coming in right That 167 00:10:11,960 --> 00:10:16,120 Speaker 1: information is being gathered and analyzed right now as we speak, 168 00:10:16,160 --> 00:10:19,600 Speaker 1: which is really impressive. I think UM on the on 169 00:10:19,640 --> 00:10:22,880 Speaker 1: the natural infection side, we're just starting to see that 170 00:10:22,920 --> 00:10:26,800 Speaker 1: information from our earliest patients, So UM people who so 171 00:10:26,920 --> 00:10:31,240 Speaker 1: generously contributed their time, their specimens, their clinical data, you know, 172 00:10:31,320 --> 00:10:34,640 Speaker 1: and participated in those observational studies early in the pandemic 173 00:10:34,720 --> 00:10:38,679 Speaker 1: and continue to participate UM or helping us to understand 174 00:10:39,200 --> 00:10:41,960 Speaker 1: what happens after we get infected, or what happens after 175 00:10:42,000 --> 00:10:45,319 Speaker 1: we get vaccinated, or what happens after we get infected 176 00:10:45,360 --> 00:10:48,680 Speaker 1: and vaccinated to our immunity. So I think, you know, 177 00:10:48,760 --> 00:10:50,440 Speaker 1: this summer, we're going to start to see a lot 178 00:10:50,440 --> 00:10:53,320 Speaker 1: of data pouring in on UM that first year of 179 00:10:53,360 --> 00:10:55,800 Speaker 1: infection and what it looks like, along with the seasonality 180 00:10:55,800 --> 00:11:00,400 Speaker 1: of the virus itself. We have a bloomberg opinion UM 181 00:11:00,600 --> 00:11:03,880 Speaker 1: columnist Kathy O'Neil. She's also a mathematician. She wrote the 182 00:11:03,880 --> 00:11:09,080 Speaker 1: book Weapons of Math Destruction. She says, like, you know, 183 00:11:09,480 --> 00:11:14,679 Speaker 1: people are ridiculously worried about this. Once you're vaccinated, and 184 00:11:14,840 --> 00:11:17,480 Speaker 1: as many other people are vaccinated, as is the case 185 00:11:17,480 --> 00:11:22,160 Speaker 1: in the US, these solutions are nine point and these 186 00:11:22,160 --> 00:11:27,440 Speaker 1: are her numbers, nine nine nine nine percent effective. Are 187 00:11:27,559 --> 00:11:32,400 Speaker 1: we being a little over dramatic at this point? Yeah, 188 00:11:32,440 --> 00:11:35,200 Speaker 1: I'm not sure. I would say, I'm not sure where 189 00:11:35,200 --> 00:11:37,960 Speaker 1: those numbers come from. I think, um, we know we 190 00:11:38,080 --> 00:11:42,920 Speaker 1: have an incredibly a series of incredibly safe and effective vaccines. 191 00:11:43,040 --> 00:11:46,160 Speaker 1: Plus when you add these additional protective measures, as we 192 00:11:46,240 --> 00:11:50,040 Speaker 1: get more and more of the population UM protected through vaccine, 193 00:11:50,360 --> 00:11:53,080 Speaker 1: those numbers do increase. Right that her community starts to 194 00:11:53,160 --> 00:11:56,640 Speaker 1: build UM. I think some new studies have come out 195 00:11:56,760 --> 00:11:59,120 Speaker 1: just opink in the last couple of days showing that 196 00:11:59,559 --> 00:12:01,680 Speaker 1: um AT they're just one dough if you have a 197 00:12:01,720 --> 00:12:05,200 Speaker 1: reduction and transmission and a reduction in severity. So that's 198 00:12:05,240 --> 00:12:08,080 Speaker 1: also really exciting to see. But again. You know you 199 00:12:08,080 --> 00:12:10,600 Speaker 1: want to wait for that cycle, that full cycle of 200 00:12:11,000 --> 00:12:14,880 Speaker 1: participants early from the early studies to understand what does 201 00:12:14,880 --> 00:12:17,959 Speaker 1: the ongoing picture of immunity and detection look like in 202 00:12:18,000 --> 00:12:21,040 Speaker 1: the community. Absolutely, Lauren, thanks so much for joining us. 203 00:12:21,120 --> 00:12:24,920 Speaker 1: Lauren sour there from the Johns Hopkins School talking about COVID. 204 00:12:27,520 --> 00:12:32,679 Speaker 1: Let's turn to commodities here. I'm talking soft commodities like corn, soybeans, 205 00:12:32,720 --> 00:12:36,360 Speaker 1: wet sugarcane. All of these grands are making multi year highs. 206 00:12:36,440 --> 00:12:38,720 Speaker 1: Let's get a look at underhood what's driving this. We 207 00:12:38,720 --> 00:12:43,280 Speaker 1: welcome Sell Gilberti, President CEO, ce IO and co founder 208 00:12:43,360 --> 00:12:47,559 Speaker 1: of two Creemp Trading. They trade these commodities South. Thanks 209 00:12:47,559 --> 00:12:49,680 Speaker 1: so much for joining us here. I know our discussion 210 00:12:49,760 --> 00:12:52,000 Speaker 1: is going to go supply demands. So where do you 211 00:12:52,000 --> 00:12:54,960 Speaker 1: want to go first? As we think about these commodities 212 00:12:55,040 --> 00:12:58,680 Speaker 1: setting some multi year highs, well, it is supplied demands. 213 00:12:58,720 --> 00:13:02,440 Speaker 1: So that's um, that's what's driving these highs. Basically, we 214 00:13:02,520 --> 00:13:06,240 Speaker 1: are using more grains. In the case of corn and soybeans, 215 00:13:06,240 --> 00:13:08,559 Speaker 1: we're using more grains two years in a row than 216 00:13:08,600 --> 00:13:11,720 Speaker 1: we produce globally, and so that that's a very big deal. 217 00:13:11,720 --> 00:13:15,760 Speaker 1: When you see stocks shrinking, your grain stock shrinking, Um, 218 00:13:15,880 --> 00:13:18,600 Speaker 1: you get higher prices. That says any commodity. It is 219 00:13:18,640 --> 00:13:22,920 Speaker 1: simply supply to man. What's amazing is that soybean ending 220 00:13:23,040 --> 00:13:26,160 Speaker 1: stocks and that means what's left over after you grow 221 00:13:26,200 --> 00:13:28,400 Speaker 1: the whole crop and use everything you're gonna use, there's 222 00:13:28,400 --> 00:13:32,000 Speaker 1: generally a little bit left. Um. Soybeans are down year 223 00:13:32,040 --> 00:13:35,360 Speaker 1: on year. The projections corn. This is US US stocks 224 00:13:35,559 --> 00:13:39,040 Speaker 1: corn down and weak down. This is the inventories inventories 225 00:13:39,080 --> 00:13:42,760 Speaker 1: that's correct, excess inventories. And that's that's enormous UM. And 226 00:13:42,800 --> 00:13:45,920 Speaker 1: that's why you've seen these these large price rises usually. 227 00:13:46,080 --> 00:13:48,720 Speaker 1: I mean, if you have these kind of price gains, 228 00:13:48,760 --> 00:13:51,120 Speaker 1: I know, farmers like to go out and plant more. 229 00:13:51,160 --> 00:13:55,360 Speaker 1: Are we going to see supply meat demand? Is? Is this, 230 00:13:55,559 --> 00:13:59,720 Speaker 1: you know, the transitory inflation that Powell is talking about 231 00:13:59,800 --> 00:14:02,600 Speaker 1: or these prices here to stay? I think these prices 232 00:14:02,640 --> 00:14:04,560 Speaker 1: are here to stay for more than one season. They 233 00:14:04,920 --> 00:14:07,280 Speaker 1: never you know, grains are easy to grow, um, but 234 00:14:07,480 --> 00:14:09,520 Speaker 1: it does take a full growing season a year, you know. 235 00:14:09,600 --> 00:14:13,000 Speaker 1: So essentially, when when the the u f d A 236 00:14:13,160 --> 00:14:15,160 Speaker 1: did kind of drop a bomb on the market in 237 00:14:15,200 --> 00:14:18,760 Speaker 1: the last day of Marching their annual acreage report where 238 00:14:18,760 --> 00:14:20,960 Speaker 1: they came in with much lower corn and soybean acres 239 00:14:21,000 --> 00:14:24,200 Speaker 1: in the United States, and people anticipated we will raise 240 00:14:24,280 --> 00:14:25,920 Speaker 1: that number a little bit, so you will see these 241 00:14:25,920 --> 00:14:29,560 Speaker 1: balance sheet estimates that are really tight right now kind 242 00:14:29,560 --> 00:14:32,120 Speaker 1: of loosen a little. But the bottom line is even 243 00:14:32,160 --> 00:14:35,320 Speaker 1: factoring in perfect growing weather um, which is a big 244 00:14:35,400 --> 00:14:39,080 Speaker 1: f around the world, and we're just planning the seeds 245 00:14:39,120 --> 00:14:42,240 Speaker 1: now that we're counting on to harvest in the autumn. 246 00:14:42,440 --> 00:14:45,280 Speaker 1: Even with a perfect harvest and a and a good yield, 247 00:14:45,520 --> 00:14:47,480 Speaker 1: we're still not going to rebuild these supplies. It's going 248 00:14:47,480 --> 00:14:50,080 Speaker 1: to take at least until next growing season that's autumn 249 00:14:51,360 --> 00:14:53,840 Speaker 1: in the Northern Hemisphere, in order to get these balance 250 00:14:53,880 --> 00:14:57,520 Speaker 1: sheets back online. And that's assuming good weather. So did 251 00:14:57,560 --> 00:15:01,200 Speaker 1: the pandemic play any roll in this? It seems just 252 00:15:01,240 --> 00:15:06,000 Speaker 1: like a big miss here on people's supply side models 253 00:15:06,040 --> 00:15:10,000 Speaker 1: and demand models. Um, it's true. The pandemic was really 254 00:15:10,040 --> 00:15:12,760 Speaker 1: confusing because right when it hit, we assumed we'd use 255 00:15:12,760 --> 00:15:14,280 Speaker 1: a lot less corn for f F and all, and 256 00:15:14,320 --> 00:15:16,960 Speaker 1: we did, but the the use of that has come 257 00:15:17,080 --> 00:15:20,760 Speaker 1: roaring back. People panicked, particularly about the use of wheat. 258 00:15:20,800 --> 00:15:22,640 Speaker 1: We thought, you know, no more cruise line and no 259 00:15:22,720 --> 00:15:25,360 Speaker 1: more casinos, no more big parties. And you know, a 260 00:15:25,400 --> 00:15:27,520 Speaker 1: cruise line will get twenty tons of wheat delivered to 261 00:15:27,600 --> 00:15:30,760 Speaker 1: it at a time on big palettes because they're making 262 00:15:30,880 --> 00:15:33,160 Speaker 1: homemade breads and you know the hots and everything for 263 00:15:33,200 --> 00:15:36,000 Speaker 1: their bars, and people panic. Well guess what, everybody went 264 00:15:36,040 --> 00:15:37,800 Speaker 1: home and became a home chef. For a while. The 265 00:15:37,920 --> 00:15:41,000 Speaker 1: number one search on the internet globally was for banana bread. 266 00:15:41,240 --> 00:15:43,400 Speaker 1: And we actually used the quarter on quarters one of 267 00:15:43,400 --> 00:15:46,400 Speaker 1: those quarters last year. Yeah, there you go. And and 268 00:15:46,600 --> 00:15:48,800 Speaker 1: we we use more wheat by one percent according to 269 00:15:48,840 --> 00:15:51,680 Speaker 1: the Wheat Board or somebody, and and that's a really 270 00:15:51,680 --> 00:15:54,400 Speaker 1: big deal. We're actually using more, that's the key. We 271 00:15:54,600 --> 00:15:58,400 Speaker 1: use more grains. The combined use of corn, soybeans, and 272 00:15:58,400 --> 00:16:01,360 Speaker 1: wheat everything all year and we've we've studied this back 273 00:16:01,400 --> 00:16:05,520 Speaker 1: to nineteen is either a global record or they just missed. 274 00:16:05,560 --> 00:16:08,440 Speaker 1: So it's the second highest. It's always rising. So when 275 00:16:08,480 --> 00:16:12,680 Speaker 1: you have these temporary supply disruptions like lower acres than 276 00:16:12,720 --> 00:16:15,920 Speaker 1: you expected, like poor weather in Brazil for the for 277 00:16:15,960 --> 00:16:18,200 Speaker 1: the second crop corn, these are big deals. And that's 278 00:16:18,200 --> 00:16:20,960 Speaker 1: why we've seen this price appreciation, which should hold more 279 00:16:21,000 --> 00:16:23,840 Speaker 1: than a year. I've learned more in the last year 280 00:16:23,960 --> 00:16:27,520 Speaker 1: about different variations of wheat and flour than ever in 281 00:16:27,560 --> 00:16:30,080 Speaker 1: my life. I've made bread for the first time in 282 00:16:30,120 --> 00:16:31,840 Speaker 1: my life. I've made pasta for the first time in 283 00:16:31,880 --> 00:16:36,000 Speaker 1: my life. So you're you're spot on in terms of that, 284 00:16:36,040 --> 00:16:37,880 Speaker 1: because I'm not somebody who ever spent time in the 285 00:16:37,960 --> 00:16:41,240 Speaker 1: kitchen before. Are there any softs that um, where supply 286 00:16:41,440 --> 00:16:45,240 Speaker 1: is just way too high and people didn't didn't use 287 00:16:45,280 --> 00:16:48,240 Speaker 1: as much as we thought they would. Um, you know, 288 00:16:48,680 --> 00:16:51,040 Speaker 1: nothing jumps out. I mean people are getting a little 289 00:16:51,040 --> 00:16:54,360 Speaker 1: nervous about coffee. People that you know, there's enough sugar. 290 00:16:55,000 --> 00:16:58,320 Speaker 1: That's another interesting thing. The short answer, no, but they're 291 00:16:58,360 --> 00:17:02,200 Speaker 1: in commodities, especially aggri cultural commodities, there's either enough or 292 00:17:02,200 --> 00:17:05,080 Speaker 1: there's plenty. We don't ever run out because your price ration. 293 00:17:05,520 --> 00:17:07,800 Speaker 1: You know, people don't starve because there isn't enough food 294 00:17:07,800 --> 00:17:09,960 Speaker 1: in the world. They start because of other reasons, politics 295 00:17:09,960 --> 00:17:13,400 Speaker 1: and logistics. But so look at it this way. When 296 00:17:13,440 --> 00:17:15,280 Speaker 1: you're having a birthday party at your house and for 297 00:17:15,320 --> 00:17:17,320 Speaker 1: five people, and you bought the six inch round cake, 298 00:17:18,200 --> 00:17:21,359 Speaker 1: that's great, and you have plenty and the doorbell rings 299 00:17:21,359 --> 00:17:23,159 Speaker 1: and five more people come to surprise you when you 300 00:17:23,200 --> 00:17:25,080 Speaker 1: look at that cake and you go, well, there's enough. 301 00:17:25,600 --> 00:17:28,440 Speaker 1: That's what we're experiencing right now. There's either enough or 302 00:17:28,480 --> 00:17:31,040 Speaker 1: there's plenty, and that's why the markets get nervous right away. 303 00:17:31,160 --> 00:17:33,560 Speaker 1: I mean soybeans in the US, we've gone from a 304 00:17:33,680 --> 00:17:37,560 Speaker 1: forty eight day excess supply down to a ten day 305 00:17:37,680 --> 00:17:41,400 Speaker 1: excess supply. That's that's unbelievable. Um, we only have ten 306 00:17:41,520 --> 00:17:43,679 Speaker 1: days of soybeans left over at the end of this 307 00:17:43,760 --> 00:17:46,520 Speaker 1: coming year, assuming a good crop and a good harvest. 308 00:17:47,320 --> 00:17:48,600 Speaker 1: We all know about that. We all know about the 309 00:17:48,640 --> 00:17:51,280 Speaker 1: lumber prices as well. It's a fascinating story as well. 310 00:17:51,320 --> 00:17:53,080 Speaker 1: I have to have you back on in the future. 311 00:17:53,080 --> 00:17:55,520 Speaker 1: Sal Gea Barty, thanks so much for joining us. He 312 00:17:55,720 --> 00:18:02,040 Speaker 1: is the CEO of two Cream. Now let's talk a 313 00:18:02,080 --> 00:18:05,440 Speaker 1: little bit with Laura Martin. She's a senior analyst at 314 00:18:05,520 --> 00:18:08,639 Speaker 1: Needham and Company, coming to us out of Los Angeles. 315 00:18:08,840 --> 00:18:13,760 Speaker 1: And we've had some pretty big media companies out with 316 00:18:13,840 --> 00:18:18,639 Speaker 1: earnings and coming out still this week among them. I 317 00:18:18,680 --> 00:18:21,280 Speaker 1: know Paul has has done some work on a n 318 00:18:21,440 --> 00:18:25,399 Speaker 1: R and found Laura, you are one of only five 319 00:18:25,880 --> 00:18:29,800 Speaker 1: out of forty one analysts with an underperformed on Netflix 320 00:18:30,440 --> 00:18:36,280 Speaker 1: um What disappoints you about the streaming service, Well, we 321 00:18:36,359 --> 00:18:39,280 Speaker 1: think that they're the fact that a monopolis. They invented 322 00:18:39,280 --> 00:18:42,480 Speaker 1: the category, and so the people who are entering late, 323 00:18:42,720 --> 00:18:45,600 Speaker 1: especially in the last twelve months, are doing much more 324 00:18:45,680 --> 00:18:50,760 Speaker 1: innovative things around, like pricing strategies. For example, um Peacock 325 00:18:50,840 --> 00:18:52,880 Speaker 1: has a free at three, five dollar and a ten 326 00:18:52,960 --> 00:18:56,640 Speaker 1: dollar tier. That's a pricing innovation. Bundling. We're like, Disney 327 00:18:56,640 --> 00:18:58,920 Speaker 1: will give you Disney Plus standalone, but it will also 328 00:18:58,960 --> 00:19:02,560 Speaker 1: bundle with um Hulu and with the ESPN for at 329 00:19:02,600 --> 00:19:04,600 Speaker 1: thirteen dollars a month, which is a lower price than 330 00:19:04,600 --> 00:19:07,359 Speaker 1: the Netflix standard price of fifteen dollars a month. And 331 00:19:07,359 --> 00:19:09,720 Speaker 1: then we're seeing a lot more cross promotions with other 332 00:19:09,880 --> 00:19:12,680 Speaker 1: types of assets. So I think there's just a lot 333 00:19:12,720 --> 00:19:15,879 Speaker 1: more innovation going on in the streamers that came late 334 00:19:16,280 --> 00:19:21,560 Speaker 1: to the party. Where especially optimistic about Discovery Plus because 335 00:19:21,640 --> 00:19:24,359 Speaker 1: David jazz Las said on his call that they're getting 336 00:19:24,400 --> 00:19:27,720 Speaker 1: five dollars for the ad lite service and another five 337 00:19:27,760 --> 00:19:30,960 Speaker 1: dollars from advertising, so they're actually getting ten dollars, which 338 00:19:31,000 --> 00:19:33,080 Speaker 1: is more than they're getting for the ad free service, 339 00:19:33,160 --> 00:19:36,119 Speaker 1: and it's more than they're getting on their linear TV network. 340 00:19:36,200 --> 00:19:39,320 Speaker 1: So that's actually the best economic model right now. But Laura, 341 00:19:39,400 --> 00:19:43,400 Speaker 1: none of them have None of those others have Narcos, 342 00:19:43,480 --> 00:19:46,600 Speaker 1: none of them have the Crown, none of um them 343 00:19:46,640 --> 00:19:50,800 Speaker 1: have Ozark. I mean there are series on Netflix that 344 00:19:50,840 --> 00:19:54,959 Speaker 1: you can't live without having seen, and everyone is waiting 345 00:19:55,000 --> 00:19:59,840 Speaker 1: for the next season, right, No, disagree. I think con 346 00:20:00,280 --> 00:20:04,600 Speaker 1: quality is necessary but not sufficient because HBO also has 347 00:20:04,680 --> 00:20:07,359 Speaker 1: that HBO Max and what content? What a lot of 348 00:20:07,359 --> 00:20:10,240 Speaker 1: these guys now has live sports and if somebody needs 349 00:20:10,280 --> 00:20:12,800 Speaker 1: to see the NFL, that is must be programming for them, 350 00:20:12,880 --> 00:20:15,200 Speaker 1: much more important than the Ozarks. So I wish I could. 351 00:20:15,359 --> 00:20:17,080 Speaker 1: I wish I could get HBO. I live in this 352 00:20:17,160 --> 00:20:19,520 Speaker 1: small country of eighty million people, and HBO is not 353 00:20:19,600 --> 00:20:25,040 Speaker 1: available in Germany, but Netflix is. Hey, Laura, you know, actually, well, Matt, 354 00:20:25,119 --> 00:20:26,720 Speaker 1: just to give you a sense, Laura has been right 355 00:20:26,720 --> 00:20:29,120 Speaker 1: here on the next Netflix called the stock down five 356 00:20:29,119 --> 00:20:31,600 Speaker 1: percent year to date versus calling on eleven or twelve 357 00:20:31,600 --> 00:20:34,720 Speaker 1: percent gain for the SMP. So it's been a good call, Laura. 358 00:20:34,720 --> 00:20:38,440 Speaker 1: We've also had some of the big internet companies report 359 00:20:38,600 --> 00:20:40,440 Speaker 1: this week, and I know you've covered this space since 360 00:20:40,440 --> 00:20:42,960 Speaker 1: its inception, and you have a great feel for the 361 00:20:42,960 --> 00:20:45,880 Speaker 1: the advertising market. We saw some of the big players 362 00:20:45,960 --> 00:20:49,119 Speaker 1: like Google and Facebook really do well and put up 363 00:20:49,119 --> 00:20:51,240 Speaker 1: some blockbuster numbers. But when you go to some of 364 00:20:51,240 --> 00:20:54,000 Speaker 1: the smaller players like Pinterest and then last night Twitter, 365 00:20:54,560 --> 00:20:57,639 Speaker 1: not so much. So are we seeing, you know, a 366 00:20:57,880 --> 00:21:02,320 Speaker 1: creation of a bifurcated digital ad market. We are the 367 00:21:02,480 --> 00:21:04,600 Speaker 1: all of the big ad tech that I cover, which 368 00:21:04,680 --> 00:21:08,560 Speaker 1: is Facebook, Alphabet, Amazon, and Apple, all of them over 369 00:21:08,640 --> 00:21:12,720 Speaker 1: reported dramatically, UM and not only at the top line, 370 00:21:13,200 --> 00:21:18,520 Speaker 1: they more even more dramatically overperformed usually over performance at 371 00:21:18,560 --> 00:21:21,280 Speaker 1: the ets line. So what we're seeing is a continued 372 00:21:21,320 --> 00:21:25,520 Speaker 1: consolidation of revenue into the big fangs, which are which 373 00:21:25,560 --> 00:21:28,160 Speaker 1: are competing with each other with the best programmers around, 374 00:21:28,160 --> 00:21:33,399 Speaker 1: in the best innovation around. UM. I mean Twitter is 375 00:21:34,480 --> 00:21:38,320 Speaker 1: I can't imagine counting Twitter among the others just because 376 00:21:38,320 --> 00:21:42,400 Speaker 1: it's so small and so niche. UM. But in terms 377 00:21:42,400 --> 00:21:45,160 Speaker 1: of the big ones, what's the concern? And I see 378 00:21:45,200 --> 00:21:49,159 Speaker 1: you have a buy on um, Amazon and Apple, but 379 00:21:49,280 --> 00:21:52,359 Speaker 1: on Facebook you have a hold, you have buy on Google. 380 00:21:52,600 --> 00:21:57,080 Speaker 1: In terms of these big giant platforms, what's the regulatory concern? 381 00:21:58,440 --> 00:22:00,280 Speaker 1: So I think regulatory we have a whole hold on 382 00:22:00,280 --> 00:22:03,359 Speaker 1: Facebook because we see the regulatory concerns most there. I 383 00:22:03,440 --> 00:22:06,320 Speaker 1: think Facebook has sort of irritated everyone in Washington, d C. 384 00:22:06,560 --> 00:22:09,280 Speaker 1: Regardless of what side of the aisle you're on, and 385 00:22:09,280 --> 00:22:11,320 Speaker 1: and in part because I think those people are afraid 386 00:22:11,320 --> 00:22:14,680 Speaker 1: for their jobs. I think they believe that Facebook moderates 387 00:22:14,800 --> 00:22:21,000 Speaker 1: content to gause Republican voices, so our conservative voice is 388 00:22:21,040 --> 00:22:23,680 Speaker 1: what's call it. So I think that that's actually an 389 00:22:23,680 --> 00:22:26,480 Speaker 1: existential threat to those people's job security. So I think 390 00:22:26,480 --> 00:22:29,800 Speaker 1: it's most likely to be regulated. Um, I don't really 391 00:22:29,840 --> 00:22:33,879 Speaker 1: worry that much about either Apple or Amazon particularly. My 392 00:22:34,000 --> 00:22:38,000 Speaker 1: opinion is that every company sewing Apple, which is Spotify, 393 00:22:38,160 --> 00:22:43,200 Speaker 1: and um Fortnite, which is Epic Games, and so Facebook 394 00:22:43,240 --> 00:22:45,879 Speaker 1: just picked a big fight with Apple, will lose. Apple 395 00:22:45,920 --> 00:22:49,240 Speaker 1: will win because what Apple delivers is one billion unique 396 00:22:49,359 --> 00:22:52,560 Speaker 1: users and a billion and they have six hundred million 397 00:22:52,600 --> 00:22:56,040 Speaker 1: subscribers now, so the value they're bringing to consumers at 398 00:22:56,040 --> 00:22:58,840 Speaker 1: a two thousand dollar price point is sort of second 399 00:22:58,880 --> 00:23:01,360 Speaker 1: to none. So I leave their platforms will win every 400 00:23:01,359 --> 00:23:05,360 Speaker 1: regulatory battle. Laura, We've now got just about every one 401 00:23:05,359 --> 00:23:08,040 Speaker 1: of the traditional media companies that you have long covered 402 00:23:08,280 --> 00:23:11,200 Speaker 1: on Wall Street is now out with a streaming service. 403 00:23:13,240 --> 00:23:16,199 Speaker 1: Is it too early to rank winners and losers? Is 404 00:23:16,240 --> 00:23:19,040 Speaker 1: that reflected in your ratings? How do you think about 405 00:23:19,080 --> 00:23:21,159 Speaker 1: some of the traditional media players as they try to 406 00:23:21,160 --> 00:23:25,200 Speaker 1: to morph into you know, kind of streaming first stories, right, 407 00:23:25,240 --> 00:23:28,000 Speaker 1: So what I would say is this, um, it isn't reflective. 408 00:23:28,280 --> 00:23:31,800 Speaker 1: So a the industry design at maturity. So let's call 409 00:23:31,840 --> 00:23:34,879 Speaker 1: that five years in my opinion, will be three services 410 00:23:34,920 --> 00:23:38,400 Speaker 1: in the upper left that have fifty or sixty million 411 00:23:38,440 --> 00:23:41,000 Speaker 1: subs each, and those are all the broadcasters as their anchor, 412 00:23:41,040 --> 00:23:44,000 Speaker 1: tenanted by the broadcasters who have live sports and live 413 00:23:44,040 --> 00:23:47,639 Speaker 1: news and the pocketbooks to create live original content. So 414 00:23:47,680 --> 00:23:53,680 Speaker 1: that's Peacock, Paramount Plus and CBS UM and NBC which 415 00:23:53,760 --> 00:23:56,760 Speaker 1: is no, I'm forgetting one whatever the other broadcaster is, 416 00:23:56,760 --> 00:23:59,320 Speaker 1: I'm forgetting who it is UM. So those three are 417 00:23:59,320 --> 00:24:01,600 Speaker 1: gonna win. I do not think Leftflix wins. And in 418 00:24:01,680 --> 00:24:04,000 Speaker 1: the other quadrant we have specialty or let's call on 419 00:24:04,080 --> 00:24:07,000 Speaker 1: passion streaming services. I would put Discovery Plus down there, 420 00:24:07,200 --> 00:24:09,119 Speaker 1: and I put w w E down there in the 421 00:24:09,119 --> 00:24:12,080 Speaker 1: surfing channel, in the History channel and brick Box. And 422 00:24:12,240 --> 00:24:14,359 Speaker 1: so I think people on average will take four or 423 00:24:14,359 --> 00:24:17,840 Speaker 1: five services, of which three are the general entertainment services 424 00:24:17,920 --> 00:24:20,160 Speaker 1: and then the other you know, one or two per 425 00:24:20,200 --> 00:24:22,320 Speaker 1: house will be passion services. That's how I think it 426 00:24:22,359 --> 00:24:25,120 Speaker 1: plays out in the end, and I and I would say, 427 00:24:25,240 --> 00:24:27,560 Speaker 1: for sure our sell on Netflix tris like that, but 428 00:24:27,640 --> 00:24:30,960 Speaker 1: I would say we should be probably more positive on Discovery. 429 00:24:31,240 --> 00:24:33,560 Speaker 1: But this year they're going to have huge losses from 430 00:24:33,600 --> 00:24:36,960 Speaker 1: peak spending on launching Discovery Plus and the Olympics, which 431 00:24:37,000 --> 00:24:40,040 Speaker 1: costs them like a fortunate when they have it. Also 432 00:24:40,280 --> 00:24:43,400 Speaker 1: when I tried to subscribe to here but not available 433 00:24:43,400 --> 00:24:45,000 Speaker 1: in Germany, these people need to do a little bit 434 00:24:45,000 --> 00:24:47,480 Speaker 1: more work if they want to access a big market 435 00:24:47,560 --> 00:24:49,919 Speaker 1: like this. But you don't think, Laura, that we're headed to. 436 00:24:50,440 --> 00:24:52,560 Speaker 1: You know, somebody's gonna have the brilliant idea to bundle 437 00:24:52,600 --> 00:24:55,320 Speaker 1: all these streaming services and make a set top set 438 00:24:55,359 --> 00:24:57,719 Speaker 1: top box and then sell them all together like new cable. 439 00:24:58,800 --> 00:25:00,520 Speaker 1: Oh I do. I think that's what I Sanity is 440 00:25:00,520 --> 00:25:03,240 Speaker 1: going to do. I think that's what Comcast will do, um, 441 00:25:03,280 --> 00:25:05,320 Speaker 1: But I don't think that's what the consumer wants. Paul. 442 00:25:05,359 --> 00:25:09,040 Speaker 1: The whole reason we debundle, the big big bundle is 443 00:25:09,040 --> 00:25:12,960 Speaker 1: because people want the choice to individually subscribe for these 444 00:25:13,920 --> 00:25:16,840 Speaker 1: all right, Laura, real quickly ten seconds. You live in 445 00:25:16,880 --> 00:25:20,400 Speaker 1: Los Angeles, Walt Disneyland. Disney Land just open today, are 446 00:25:20,440 --> 00:25:24,200 Speaker 1: you going? Yes, absolutely, as soon as I could get 447 00:25:24,200 --> 00:25:27,720 Speaker 1: a ticket. They've raised prices again, but much lower attendance 448 00:25:27,760 --> 00:25:30,640 Speaker 1: is fabulous. There you go, Laura Martin, thank you so much. 449 00:25:30,640 --> 00:25:33,920 Speaker 1: We appreciate that. Yeah. Absolutely, Laura Martin. She's a senior 450 00:25:33,920 --> 00:25:36,040 Speaker 1: analysts that need to be company. She's been covering this 451 00:25:36,080 --> 00:25:38,800 Speaker 1: media space mat for a couple of three decades and 452 00:25:38,880 --> 00:25:41,240 Speaker 1: just been all over some of the most innovative research 453 00:25:41,280 --> 00:25:44,520 Speaker 1: out there, as you know, exemplified by her cautious stance 454 00:25:44,560 --> 00:25:48,119 Speaker 1: on Netflix. Thanks for listening to the Bloomberg Markets podcast. 455 00:25:48,520 --> 00:25:51,720 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 456 00:25:51,880 --> 00:25:55,760 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 457 00:25:55,800 --> 00:26:00,080 Speaker 1: on Twitter at Matt Miller, pen on Falsewhinnie, I'm on 458 00:26:00,119 --> 00:26:03,040 Speaker 1: Twitter at pt Sweeney. Before the podcast, you can always 459 00:26:03,040 --> 00:26:06,840 Speaker 1: catch us worldwide at Bloomberg Radio. M