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 --> 00:00:11,480 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 --> 00:00:22,799 Speaker 1: at Bloomberg dot com slash podcast. Well, the story of 7 00:00:22,840 --> 00:00:26,160 Speaker 1: the morning certainly has been this Archegos Capital Management, the 8 00:00:26,239 --> 00:00:29,840 Speaker 1: unwinding of this fund and the volatility that it's caused 9 00:00:30,200 --> 00:00:32,280 Speaker 1: a handful of names, including some of those big media 10 00:00:32,360 --> 00:00:36,200 Speaker 1: names like Viacom, CBS and Discovery, as well some tech names, 11 00:00:36,320 --> 00:00:37,640 Speaker 1: and the in in fact it's had on some of the 12 00:00:37,680 --> 00:00:41,760 Speaker 1: relationship banks. Let's get the latest with Shawnalie Bassek, Bloomberg 13 00:00:41,800 --> 00:00:44,080 Speaker 1: Wall Street reporter fanale Thanks so much for joining us here. 14 00:00:44,080 --> 00:00:47,640 Speaker 1: It's really been the story over the last several days 15 00:00:47,720 --> 00:00:50,159 Speaker 1: here about what happened. What do we what's the latest 16 00:00:50,240 --> 00:00:53,639 Speaker 1: on Archaegas Capital Management. Yeah, well, first of all, it's 17 00:00:53,720 --> 00:00:56,080 Speaker 1: the fallout we're seeing of the banks, but also what 18 00:00:56,200 --> 00:00:59,120 Speaker 1: an ugly day for Viacom. I mean the share is 19 00:00:59,160 --> 00:01:02,600 Speaker 1: still dropping. You know, I've spoke to a bunch of 20 00:01:02,640 --> 00:01:06,120 Speaker 1: investors today that playing these media stocks and obviously not 21 00:01:06,280 --> 00:01:09,160 Speaker 1: so thrilled with the moves you're seeing in the market 22 00:01:09,200 --> 00:01:12,360 Speaker 1: and really just the violent fundamentals, um, you know, the 23 00:01:12,440 --> 00:01:16,040 Speaker 1: violent swings you're seeing underneath the surface. Y, especially among 24 00:01:16,160 --> 00:01:20,800 Speaker 1: the investors that bought a secondary offering that Viacom issue. 25 00:01:20,959 --> 00:01:26,360 Speaker 1: Just uh, I guess on March five dollars to share 26 00:01:26,360 --> 00:01:28,640 Speaker 1: they bought stock and now the stocks stating at forty four. 27 00:01:28,720 --> 00:01:31,800 Speaker 1: So a lot of unhappy investors out there, I'm sure, yeah, absolutely, 28 00:01:31,880 --> 00:01:33,200 Speaker 1: And I mean if we need to take a big 29 00:01:33,240 --> 00:01:35,080 Speaker 1: step back, I mean a lot of this was bought 30 00:01:35,120 --> 00:01:39,319 Speaker 1: on by this family office run by you know, of 31 00:01:39,440 --> 00:01:42,000 Speaker 1: Bill Wong, who was embroiled in an insider trading a 32 00:01:42,000 --> 00:01:46,120 Speaker 1: scandal and then was able to really get all of 33 00:01:46,160 --> 00:01:51,720 Speaker 1: this exposure on leverage from multiple banks. UM. Really a 34 00:01:51,800 --> 00:01:55,640 Speaker 1: huge family office, despite not many people having heard much 35 00:01:55,680 --> 00:01:58,680 Speaker 1: about him before, not since two thousand twelve. I mean, 36 00:01:58,720 --> 00:02:03,320 Speaker 1: he's a family office, be because he um settled wire 37 00:02:03,480 --> 00:02:08,720 Speaker 1: fraud charges, right, and it's interesting that he's even trading 38 00:02:08,720 --> 00:02:13,040 Speaker 1: with Goldman Sachs and others because we know that um, 39 00:02:13,080 --> 00:02:17,440 Speaker 1: the compliance uh people at Goldman Sachs on numerous occasions 40 00:02:17,760 --> 00:02:20,360 Speaker 1: had told the their bankers, no, you can't work with 41 00:02:20,400 --> 00:02:24,960 Speaker 1: this guy anymore. Yeah, And ultimately that kind of moratorium 42 00:02:25,080 --> 00:02:27,880 Speaker 1: ran out, and it was Goldman Sacks, it was Morgan Stanley, 43 00:02:27,919 --> 00:02:30,519 Speaker 1: it was no Mura, it was Credit Sweets, even Deutsche 44 00:02:30,520 --> 00:02:33,840 Speaker 1: Bank at one point. So you really had a range 45 00:02:33,840 --> 00:02:37,720 Speaker 1: of banks show up and really enable the this um 46 00:02:37,840 --> 00:02:43,280 Speaker 1: person really amassing humongous family office that has now a 47 00:02:43,360 --> 00:02:46,800 Speaker 1: mass these major positions on leverage by means of the 48 00:02:46,840 --> 00:02:50,480 Speaker 1: banking system that has supported him and Shinali, what do 49 00:02:50,520 --> 00:02:53,480 Speaker 1: we know about the use of swaps in this transaction? 50 00:02:53,520 --> 00:02:55,040 Speaker 1: I guess one of the big issue for a lot 51 00:02:55,040 --> 00:02:58,160 Speaker 1: of people's, you know, particularly investors of some of these 52 00:02:58,200 --> 00:03:01,600 Speaker 1: names like Viacom, CBS and the Discovery, like why are 53 00:03:01,600 --> 00:03:05,400 Speaker 1: these stocks going up so dramatically when the fundamentals do 54 00:03:05,480 --> 00:03:07,639 Speaker 1: not support it? You even it prompted the company the 55 00:03:07,720 --> 00:03:10,840 Speaker 1: issue stock, it prompted analysts that downrade the stock, and 56 00:03:10,840 --> 00:03:13,079 Speaker 1: it was all because we didn't really know who the 57 00:03:13,120 --> 00:03:15,640 Speaker 1: buyer was, and it was because of these swaps. What 58 00:03:15,639 --> 00:03:18,040 Speaker 1: do we know? Yeah, it's a great question. These swaps 59 00:03:18,200 --> 00:03:21,200 Speaker 1: um you know, the arcane type of financial product called 60 00:03:21,200 --> 00:03:23,680 Speaker 1: contracts for difference. And you know, big hat tip to 61 00:03:23,760 --> 00:03:26,560 Speaker 1: Tracy Allaway on our team for really running through the 62 00:03:26,600 --> 00:03:30,240 Speaker 1: issues here. It's very unclear as to you know, what 63 00:03:30,440 --> 00:03:34,200 Speaker 1: the rules are around these swaps across borders. Right, We're 64 00:03:34,200 --> 00:03:37,120 Speaker 1: not even just talking about a US story here, and 65 00:03:37,200 --> 00:03:40,120 Speaker 1: the SEC did say they are in contact with the banks, 66 00:03:40,120 --> 00:03:43,720 Speaker 1: they are looking at the issue here as a major 67 00:03:43,800 --> 00:03:48,800 Speaker 1: financial regulation nerd. I've got to say that Gary Gensler 68 00:03:48,880 --> 00:03:53,360 Speaker 1: led SEC moving forward, I'd be pretty upset about what 69 00:03:53,520 --> 00:03:57,440 Speaker 1: happened here, and I'd also be looking moving forward around 70 00:03:57,600 --> 00:04:01,680 Speaker 1: why the leverage outside of the banking system has just 71 00:04:01,800 --> 00:04:04,760 Speaker 1: gone so far and away such that we're seeing one 72 00:04:04,760 --> 00:04:08,680 Speaker 1: of the biggest blow ups since LTCM. What does this 73 00:04:08,760 --> 00:04:11,240 Speaker 1: mean for Wong? What does this mean for our gos? 74 00:04:11,440 --> 00:04:17,240 Speaker 1: Is is this the end for that family office? I mean, 75 00:04:17,800 --> 00:04:19,839 Speaker 1: I want to see who banks with him again, Matt, 76 00:04:20,400 --> 00:04:24,320 Speaker 1: And I mean after something like this, you know how, 77 00:04:24,680 --> 00:04:26,120 Speaker 1: I think there will be much more to come in 78 00:04:26,120 --> 00:04:29,320 Speaker 1: the coming days on exactly how this happened. That that 79 00:04:29,320 --> 00:04:31,279 Speaker 1: that reminds me is there more to come in terms 80 00:04:31,320 --> 00:04:34,120 Speaker 1: of unwinding? Do you think I do think that we 81 00:04:34,200 --> 00:04:36,279 Speaker 1: have to be watching this closely I do think there's 82 00:04:36,320 --> 00:04:38,440 Speaker 1: more to come. One sign of faith that was given 83 00:04:38,440 --> 00:04:40,719 Speaker 1: by a hedge fund manager just this morning was, you 84 00:04:40,760 --> 00:04:43,160 Speaker 1: know the vix is still pretty low. Right, you're not 85 00:04:43,240 --> 00:04:46,279 Speaker 1: seeing these uh this these massive swings go into the 86 00:04:46,320 --> 00:04:49,200 Speaker 1: broader market and it's entirely But will you see a 87 00:04:49,200 --> 00:04:52,800 Speaker 1: few more hedge funds lose a lot of money? Probably? Yeah. 88 00:04:52,800 --> 00:04:54,880 Speaker 1: I mean first it was meme stocks and we could say, Okay, 89 00:04:54,920 --> 00:04:59,000 Speaker 1: that's just a bunch of retailers playing around because the board, Uh, 90 00:04:59,480 --> 00:05:03,839 Speaker 1: now we've got this issue. Um, have we heard anything 91 00:05:04,040 --> 00:05:06,760 Speaker 1: from the regulators in general? It just feels like you 92 00:05:06,800 --> 00:05:09,280 Speaker 1: were mentioning shy. It just feels like if I were 93 00:05:09,279 --> 00:05:12,680 Speaker 1: Gary Gensler coming in here, Um, I got some work 94 00:05:12,720 --> 00:05:14,440 Speaker 1: to do here. There's a lot of things for me 95 00:05:14,520 --> 00:05:16,400 Speaker 1: to look at, right, and let's let our memories be 96 00:05:16,480 --> 00:05:20,880 Speaker 1: longer too, Because at the end of early before even 97 00:05:20,880 --> 00:05:23,839 Speaker 1: the markets one hey, riot wire, we were seeing hedge 98 00:05:23,839 --> 00:05:26,000 Speaker 1: funds trade at you know, like a hundred to one 99 00:05:26,160 --> 00:05:29,200 Speaker 1: sometimes leverage when they were trading in treasury markets, to 100 00:05:29,240 --> 00:05:31,960 Speaker 1: the point that it caused pressure on some of the 101 00:05:32,000 --> 00:05:35,040 Speaker 1: safest funding markets in the world. So you know, it's 102 00:05:35,040 --> 00:05:38,280 Speaker 1: not even just game stop or you know this this 103 00:05:38,360 --> 00:05:41,360 Speaker 1: issue that we've seen with archegos. How is it that 104 00:05:41,400 --> 00:05:44,440 Speaker 1: you see so many issues in the hedge fund industry 105 00:05:44,720 --> 00:05:47,560 Speaker 1: in regard to borrow money in in just a year 106 00:05:47,560 --> 00:05:49,960 Speaker 1: and a half. Yeah, so leverage is definitely give me 107 00:05:50,040 --> 00:05:52,480 Speaker 1: a point. Um the gnsler is going to focus on 108 00:05:52,560 --> 00:05:56,440 Speaker 1: in terms of regulation, is there anything else? Is there 109 00:05:56,440 --> 00:06:00,320 Speaker 1: anything else? Well yeah, well yeah, yeah, Well there's Jenny Yellen, 110 00:06:00,400 --> 00:06:03,159 Speaker 1: there's f stock, right, I mean, are they going to 111 00:06:03,240 --> 00:06:07,120 Speaker 1: be clamping down on the non bank financial system in 112 00:06:07,160 --> 00:06:10,159 Speaker 1: a big world? And also disclosure? Right, Remember Gary Gansler 113 00:06:10,160 --> 00:06:14,400 Speaker 1: was former CFTC that was the main overseer swaps market. 114 00:06:14,480 --> 00:06:16,360 Speaker 1: That's exactly what I'm thinking in shale. When you see 115 00:06:16,360 --> 00:06:20,080 Speaker 1: the words secret um in regards to assets then in 116 00:06:20,120 --> 00:06:23,240 Speaker 1: a headline, then you know that there's gonna be at 117 00:06:23,320 --> 00:06:27,080 Speaker 1: least one or two Congressmen thinking this is a problem. Yeah, exactly. 118 00:06:27,160 --> 00:06:29,280 Speaker 1: It's the most read story on Bloomberg today, so it's 119 00:06:29,320 --> 00:06:31,200 Speaker 1: got to be in the back of everybody on Sunday 120 00:06:31,320 --> 00:06:34,599 Speaker 1: and Saturday and Friday. It's been the eight of the 121 00:06:34,640 --> 00:06:38,120 Speaker 1: top ten most dread stories over the weekend. So definitely, UM, 122 00:06:38,240 --> 00:06:42,880 Speaker 1: a fascinating scoop there, and uh, who we all props 123 00:06:42,880 --> 00:06:47,719 Speaker 1: to is this Eric Shatsker with Eric Schrie, Sophia Horte 124 00:06:47,839 --> 00:06:50,320 Speaker 1: coast to Tracy Alloway Bay who we have a whole 125 00:06:50,480 --> 00:06:54,760 Speaker 1: team on this one, all right, and remember, you know 126 00:06:54,800 --> 00:06:58,120 Speaker 1: it's interesting. We're gonna have you know, a return, a 127 00:06:58,240 --> 00:07:00,840 Speaker 1: story and a show on four thirty Wall Street time 128 00:07:00,839 --> 00:07:03,880 Speaker 1: on Bloomberg Radio and television, really diving into this issue, 129 00:07:03,960 --> 00:07:07,760 Speaker 1: so make sure to tune in for that. There was 130 00:07:07,880 --> 00:07:11,560 Speaker 1: recently a really cool deal done by a Canadian electric 131 00:07:11,600 --> 00:07:17,520 Speaker 1: vehicle manufacturer. Electro Mechanica had UM from the beginning, done 132 00:07:17,520 --> 00:07:20,440 Speaker 1: all of its production in China, but now the company 133 00:07:20,600 --> 00:07:24,960 Speaker 1: is opening a location in Arizona. And we've got the 134 00:07:24,960 --> 00:07:27,520 Speaker 1: guy who did that deal for b d O on 135 00:07:27,560 --> 00:07:30,920 Speaker 1: the air, Tom Stringer, Corporate real Estate Advisory Managing Director 136 00:07:31,360 --> 00:07:35,200 Speaker 1: UM running site selection and incentives there. And Tom, let's 137 00:07:35,240 --> 00:07:38,000 Speaker 1: talk about before we did the back to work, UM, 138 00:07:38,040 --> 00:07:41,200 Speaker 1: you know, back to school uh discussion, let's talk about 139 00:07:41,240 --> 00:07:45,560 Speaker 1: Electro Mechanica, UM, how you got them into the US, 140 00:07:45,680 --> 00:07:49,200 Speaker 1: into Arizona and why they're building there instead of another 141 00:07:49,240 --> 00:07:52,960 Speaker 1: plant in China. Well, good morning, guys, thanks for having 142 00:07:52,960 --> 00:07:57,120 Speaker 1: me back. Really appreciate it. Very interesting story. Um, certainly 143 00:07:57,120 --> 00:07:59,520 Speaker 1: it's a it's one that's part of a frothy ev 144 00:07:59,720 --> 00:08:02,080 Speaker 1: market it right now. But you know, we started looking 145 00:08:02,080 --> 00:08:04,360 Speaker 1: at the project a couple of years ago. UM, the 146 00:08:04,400 --> 00:08:07,560 Speaker 1: market for evs was still really just emerging. Obviously Tesla 147 00:08:07,640 --> 00:08:10,960 Speaker 1: had had established itself, but other players were really just 148 00:08:11,040 --> 00:08:13,000 Speaker 1: sort of coming up to bat at that point in time. 149 00:08:13,480 --> 00:08:15,560 Speaker 1: And we were in the midst of the tarif from 150 00:08:15,560 --> 00:08:18,560 Speaker 1: the trade discussions, UM, which caused right a lot of 151 00:08:18,640 --> 00:08:21,080 Speaker 1: ripples and people were having to make adjustments for that. 152 00:08:21,240 --> 00:08:24,560 Speaker 1: So access to the North American market, solidifying the supply 153 00:08:24,720 --> 00:08:27,840 Speaker 1: chain were really kind of strategic decisions that the company 154 00:08:27,920 --> 00:08:31,360 Speaker 1: was making early on. And by the time we got 155 00:08:31,360 --> 00:08:34,040 Speaker 1: through the project and COVID had read its ugly head 156 00:08:34,480 --> 00:08:37,199 Speaker 1: and then market demand and awareness really poor EVS in 157 00:08:37,240 --> 00:08:41,000 Speaker 1: the US really just surged dramatically. It was looked like 158 00:08:41,000 --> 00:08:43,600 Speaker 1: a very strategic decision that was made two years ago. 159 00:08:43,840 --> 00:08:47,320 Speaker 1: Now these these a lot of these sites are going 160 00:08:47,400 --> 00:08:52,360 Speaker 1: up in Texas, California, Arizona. Does the sun have something 161 00:08:52,360 --> 00:08:55,920 Speaker 1: to do with that? Well, I don't think anybody dislikes 162 00:08:55,960 --> 00:08:58,400 Speaker 1: warm weather. Certainly into the winner that we've had here, 163 00:08:58,400 --> 00:09:01,160 Speaker 1: in the northeast. So that's checked on for those locations. 164 00:09:01,200 --> 00:09:02,839 Speaker 1: But I think if you look at the states that 165 00:09:02,880 --> 00:09:05,960 Speaker 1: are really emerging as EV powerhouses and you hit the 166 00:09:06,000 --> 00:09:07,840 Speaker 1: nail on the head, I would say, you know, you Texas, 167 00:09:07,880 --> 00:09:12,439 Speaker 1: Arizona in particular, which had really no automotive manufacturing industry 168 00:09:12,520 --> 00:09:15,800 Speaker 1: prior to too Lucid, to Nicola now electro Mechanic and 169 00:09:15,880 --> 00:09:18,839 Speaker 1: some others. Um, you're looking at southern states that are 170 00:09:18,880 --> 00:09:24,240 Speaker 1: aggressive in economic development in terms of corporate recruitment, job training, UM, 171 00:09:24,280 --> 00:09:28,880 Speaker 1: aggressive tax and incentive policy, terrific utility rates, and frankly, 172 00:09:29,360 --> 00:09:32,320 Speaker 1: with warm weather and good tax rates from a first 173 00:09:32,360 --> 00:09:35,800 Speaker 1: lincome standpoint, places people in talent really want to go. 174 00:09:36,280 --> 00:09:39,400 Speaker 1: So those have been very attractive kind of benchmark points 175 00:09:39,400 --> 00:09:42,920 Speaker 1: for those locations. Hey, Tom, you mentioned earlier, you know, 176 00:09:43,000 --> 00:09:45,960 Speaker 1: the push for some companies to bring their supply chains 177 00:09:46,520 --> 00:09:50,400 Speaker 1: um maybe on shore in the US UH, and that 178 00:09:50,480 --> 00:09:53,880 Speaker 1: was certainly a big discussion point during the Trump administration. 179 00:09:54,280 --> 00:09:56,439 Speaker 1: Where are we now that we have a new administration. 180 00:09:56,679 --> 00:10:01,720 Speaker 1: Are companies still moving that way or they reassessing? No, 181 00:10:01,920 --> 00:10:04,240 Speaker 1: I think it's a it's a good bit of continuity 182 00:10:04,280 --> 00:10:06,880 Speaker 1: between the administrations. You know, anytime you can get Republicans 183 00:10:06,880 --> 00:10:10,160 Speaker 1: and Democrats degree on anything, watch out, it will probably happen. 184 00:10:10,280 --> 00:10:13,959 Speaker 1: But this one seems to be um really taking hold 185 00:10:14,000 --> 00:10:18,760 Speaker 1: because the markets and commercial industry and and frankly consumers 186 00:10:18,760 --> 00:10:21,360 Speaker 1: were driving it more so than any policy decisions. So 187 00:10:21,400 --> 00:10:24,199 Speaker 1: here we have the policy decision makers chasing the markets, 188 00:10:24,240 --> 00:10:27,440 Speaker 1: which usually makes for very good policy. Um. So there's 189 00:10:27,440 --> 00:10:30,000 Speaker 1: a lot of continuity. I think you saw great investment 190 00:10:30,360 --> 00:10:33,320 Speaker 1: also again in Arizona with Intel just last week with 191 00:10:33,400 --> 00:10:36,719 Speaker 1: the twenty billion dollar chip fab facility, and that was 192 00:10:36,800 --> 00:10:40,800 Speaker 1: facilitated by both administrations, both the Trump administration starting it 193 00:10:40,800 --> 00:10:43,240 Speaker 1: and the Biden administration coming on and taking hold to 194 00:10:43,320 --> 00:10:46,199 Speaker 1: help the state of Arizona drive that home. So, UM, 195 00:10:46,240 --> 00:10:49,000 Speaker 1: some good continuity in in the kind of will will say, 196 00:10:49,200 --> 00:10:53,160 Speaker 1: um resetting of supply chains. Uh, that's that's really going on. 197 00:10:53,280 --> 00:10:56,080 Speaker 1: So we're an implementation now, it's not just policy anymore 198 00:10:56,200 --> 00:10:58,559 Speaker 1: thought process. I just want to jump in and I'll 199 00:10:58,559 --> 00:11:03,200 Speaker 1: tweet out a picture of the Electro Mechanica solo car. 200 00:11:03,400 --> 00:11:06,000 Speaker 1: It's so cool. It's a little three wheeler with an 201 00:11:06,000 --> 00:11:09,120 Speaker 1: awesome trunk. I recommend googling it, but again I'll send 202 00:11:09,120 --> 00:11:12,160 Speaker 1: it out on Twitter. Tom let's get to the bank news, 203 00:11:12,200 --> 00:11:14,800 Speaker 1: which is, you know a lot of our listeners obviously 204 00:11:14,840 --> 00:11:18,559 Speaker 1: working in banks, tired of being at home with their 205 00:11:18,640 --> 00:11:20,880 Speaker 1: kids or in the case of the younger workers, with 206 00:11:20,920 --> 00:11:23,160 Speaker 1: mom and dad. They want to get back to the 207 00:11:23,200 --> 00:11:26,000 Speaker 1: excitement of the office, or maybe they don't. What are 208 00:11:26,040 --> 00:11:30,319 Speaker 1: you hearing, Hey, great question, I think all of us now. 209 00:11:30,360 --> 00:11:33,040 Speaker 1: A year in UM, it was super positive. At first, 210 00:11:33,080 --> 00:11:37,560 Speaker 1: it was unbelievable how quickly corporate America, financial institutions, government 211 00:11:37,600 --> 00:11:41,280 Speaker 1: really shifted gears and and kept productivity up and shifted 212 00:11:41,280 --> 00:11:43,679 Speaker 1: to it to working at home. UM. I think we've 213 00:11:43,679 --> 00:11:46,400 Speaker 1: certainly realized there's some advantages to it, but there's certainly 214 00:11:46,440 --> 00:11:49,360 Speaker 1: some limitations, and those limitations are starting to kind of 215 00:11:49,400 --> 00:11:52,040 Speaker 1: pray the edges of it. I think people are excited 216 00:11:52,120 --> 00:11:54,720 Speaker 1: to get back. I think it's gonna look a little different. 217 00:11:54,840 --> 00:11:57,160 Speaker 1: That's one thing that's been consistent. You hear that term 218 00:11:57,280 --> 00:11:59,840 Speaker 1: hybrid thrown out there are probably a thousand times today 219 00:12:00,080 --> 00:12:03,640 Speaker 1: every leader that gets asked this question. That's because it's right. 220 00:12:03,679 --> 00:12:06,960 Speaker 1: We've proven our cost effect that it is to allow 221 00:12:07,000 --> 00:12:10,000 Speaker 1: people to work from flow from home and have flexibility, 222 00:12:10,120 --> 00:12:12,440 Speaker 1: and that access to talent really means you can recruit 223 00:12:12,480 --> 00:12:14,160 Speaker 1: somebody to work in New York, but they could be 224 00:12:14,400 --> 00:12:16,440 Speaker 1: in Iowa or across the other side of the world. 225 00:12:17,000 --> 00:12:19,800 Speaker 1: And that's a huge advantage for companies and a challenge 226 00:12:19,800 --> 00:12:22,839 Speaker 1: for jurisdiction. So I think as we start to come back, 227 00:12:23,360 --> 00:12:27,080 Speaker 1: flexibility is going to be extremely important. Probably less square 228 00:12:27,080 --> 00:12:30,920 Speaker 1: footage in the central business district is something that's definitely emerging, 229 00:12:31,600 --> 00:12:33,680 Speaker 1: and that's the challenge that's going to have to be addressed. 230 00:12:33,679 --> 00:12:36,200 Speaker 1: In those higher cost jurisdictions, They're gonna have to get 231 00:12:36,240 --> 00:12:39,920 Speaker 1: into economic development a lot more aggressively because all those 232 00:12:40,000 --> 00:12:42,679 Speaker 1: jobs won't come back. Um, there was a great static 233 00:12:42,760 --> 00:12:45,559 Speaker 1: in that from the Journal the other day that office 234 00:12:45,600 --> 00:12:48,680 Speaker 1: occupancy physical occupancy in New York City, for example, is 235 00:12:48,760 --> 00:12:52,160 Speaker 1: down eight four from last year, and I mean that 236 00:12:52,320 --> 00:12:54,880 Speaker 1: is just a devastating when you think of the number 237 00:12:54,920 --> 00:12:58,760 Speaker 1: of turkey sandwiches and bagels that are not consoled and 238 00:12:58,880 --> 00:13:01,840 Speaker 1: how that affects right the rest of the region. Yeah, 239 00:13:01,880 --> 00:13:04,080 Speaker 1: we'll have to see how people come back, certainly in 240 00:13:04,360 --> 00:13:06,560 Speaker 1: some of these urban markets. Tom Stringer, thank you so 241 00:13:06,640 --> 00:13:09,360 Speaker 1: much for joining us. Tom Stringer's corporate real Estate Advisory 242 00:13:09,360 --> 00:13:13,000 Speaker 1: Managing director for Site Selection and Incentives at the firm 243 00:13:13,160 --> 00:13:16,000 Speaker 1: b DO based in your giving us some thoughts about 244 00:13:16,040 --> 00:13:18,240 Speaker 1: how the supply chain coming closer to home for a 245 00:13:18,240 --> 00:13:21,120 Speaker 1: lot of US companies and what that means for infrastructure 246 00:13:23,640 --> 00:13:26,800 Speaker 1: time for Bloomberg Opinion. We rejoined today by Chris Anderson, 247 00:13:26,920 --> 00:13:29,960 Speaker 1: CEO and co founder of three D Robotics based in 248 00:13:30,040 --> 00:13:33,440 Speaker 1: San Diego, and the topic really is some of these 249 00:13:33,440 --> 00:13:36,560 Speaker 1: big tech companies, are they media companies that are responsible 250 00:13:36,600 --> 00:13:40,480 Speaker 1: for the content or are they simply technology platforms uh 251 00:13:40,520 --> 00:13:44,800 Speaker 1: and sourcing and hosting user generated content therefore uh not 252 00:13:45,040 --> 00:13:47,920 Speaker 1: liable for that content. Chris, thanks so much for joining 253 00:13:48,000 --> 00:13:49,880 Speaker 1: us here. We we just had some of those big 254 00:13:49,880 --> 00:13:53,439 Speaker 1: tech CEOs Facebook, Google and others in front of Congress. 255 00:13:53,559 --> 00:13:58,319 Speaker 1: Yet again, I don't think anything of substance was achieved. 256 00:13:58,920 --> 00:14:01,800 Speaker 1: What's your view on how maybe some of these you know, 257 00:14:02,840 --> 00:14:06,040 Speaker 1: big tech copies should be thinking about the content that's 258 00:14:06,080 --> 00:14:10,079 Speaker 1: on their platforms. Yeah, you're you're right. There was nothing 259 00:14:10,080 --> 00:14:12,680 Speaker 1: of substance achieved in there, and there never is and 260 00:14:12,880 --> 00:14:15,880 Speaker 1: these sort of things they're largely theater um. The problem 261 00:14:15,880 --> 00:14:18,640 Speaker 1: is that there's a, you know, a fundamental disconnect between 262 00:14:18,640 --> 00:14:20,400 Speaker 1: the role of the platform, which is really what they 263 00:14:20,400 --> 00:14:24,240 Speaker 1: call common carrier. They you know, there's the user created 264 00:14:24,280 --> 00:14:29,320 Speaker 1: content is impossible to uh to to edit the way um, 265 00:14:29,360 --> 00:14:32,880 Speaker 1: you know, professionally created content is um. And then then 266 00:14:32,920 --> 00:14:36,280 Speaker 1: then the their power which is now you know, greater 267 00:14:36,400 --> 00:14:39,200 Speaker 1: than than the newspapers um. And so the you know, 268 00:14:39,240 --> 00:14:41,200 Speaker 1: the question is is it's is it going to be 269 00:14:41,280 --> 00:14:44,040 Speaker 1: some sort of oversight board like Facebook you're creative? Well, 270 00:14:44,040 --> 00:14:46,320 Speaker 1: that doesn't scale. Is it going to be you know, 271 00:14:46,440 --> 00:14:51,440 Speaker 1: actually imposing requirements on them that they responsible for all 272 00:14:51,440 --> 00:14:53,560 Speaker 1: the content? Well, that doesn't scale. Is it breaking them 273 00:14:53,600 --> 00:14:56,000 Speaker 1: up like an antitrust? Well, that doesn't really solve the problem. 274 00:14:56,000 --> 00:14:59,160 Speaker 1: And we recommend that actually a um, you know, a 275 00:14:59,200 --> 00:15:01,800 Speaker 1: concept from the new paper ages is the best one. 276 00:15:03,480 --> 00:15:07,600 Speaker 1: So what's the what's the concept? Well, back back when 277 00:15:07,720 --> 00:15:11,400 Speaker 1: in when newspapers were the dominant cultural force for politics 278 00:15:11,400 --> 00:15:14,800 Speaker 1: and and and and and news in America, newspapers took 279 00:15:14,800 --> 00:15:17,680 Speaker 1: their responsibilities pretty seriously, and they were considered the fourth 280 00:15:17,720 --> 00:15:20,480 Speaker 1: the state, you know, after the after the three states 281 00:15:20,480 --> 00:15:22,040 Speaker 1: of government, the fourth the state was like the gate 282 00:15:22,120 --> 00:15:25,120 Speaker 1: keeper that rather the the the you know, the the overseer, 283 00:15:25,200 --> 00:15:27,680 Speaker 1: the you know, the people of the institution that kept 284 00:15:27,720 --> 00:15:30,040 Speaker 1: them honest and so newspapers have created the role of 285 00:15:30,120 --> 00:15:34,000 Speaker 1: om Boozman and on Woodsman is an independent UM and 286 00:15:34,440 --> 00:15:37,640 Speaker 1: you know, person and employee often whose job it is 287 00:15:37,680 --> 00:15:40,400 Speaker 1: to not only respond to complaints from the public, but 288 00:15:40,440 --> 00:15:43,920 Speaker 1: also to examine the institution from the inside, UM a 289 00:15:43,920 --> 00:15:46,440 Speaker 1: little bit like for example, an inspector general might be 290 00:15:46,800 --> 00:15:50,160 Speaker 1: UM within government. And most newspapers had on Boodsman, and 291 00:15:50,280 --> 00:15:51,920 Speaker 1: you know, and they just they just kept an eye 292 00:15:51,960 --> 00:15:54,760 Speaker 1: on you know, they watched the Watchman if you will, UM. 293 00:15:54,760 --> 00:15:57,680 Speaker 1: And now, over time, as newspaper industry has declined, the 294 00:15:57,840 --> 00:16:00,480 Speaker 1: role the om Boodsman has gone away. The New are Times, 295 00:16:00,480 --> 00:16:03,280 Speaker 1: for example, which called there's a public editor. They got 296 00:16:03,360 --> 00:16:05,840 Speaker 1: rid of their last one in two thousand and seventeen. 297 00:16:06,200 --> 00:16:09,240 Speaker 1: And yet and so, and that's appropriate as as newspapers 298 00:16:09,280 --> 00:16:12,000 Speaker 1: became less of a central figure in our you know, 299 00:16:12,040 --> 00:16:15,160 Speaker 1: our public discourse. But Chris, it's also in a newspaper, 300 00:16:15,240 --> 00:16:18,000 Speaker 1: you can't Paul and I can't write in and say 301 00:16:18,000 --> 00:16:21,280 Speaker 1: whatever we want in the New York Times the addition 302 00:16:21,360 --> 00:16:24,720 Speaker 1: coming out tomorrow, right. They they really are in charge 303 00:16:24,720 --> 00:16:28,160 Speaker 1: of their own content. Whereas Facebook is more like Speaker's 304 00:16:28,240 --> 00:16:32,080 Speaker 1: Corner in Hyde Park. Anybody can go there with a 305 00:16:32,120 --> 00:16:37,960 Speaker 1: soapbox and spew whatever kind of lies misinformation he or 306 00:16:38,040 --> 00:16:42,480 Speaker 1: she wants, and they often do. That's the problem, right 307 00:16:42,520 --> 00:16:46,280 Speaker 1: exactly what the analogy is that that a newspaper, you 308 00:16:46,280 --> 00:16:49,640 Speaker 1: you know, the writers the words are our subject, your control, 309 00:16:49,640 --> 00:16:52,600 Speaker 1: their employees. For social media, what you have instead is 310 00:16:52,680 --> 00:16:56,040 Speaker 1: policies and algorithms. The you know, they can't control the words, 311 00:16:56,080 --> 00:16:58,160 Speaker 1: they can control their algorithms and how they promote the 312 00:16:58,200 --> 00:17:00,960 Speaker 1: words to other people. And they control policies about what 313 00:17:01,040 --> 00:17:03,720 Speaker 1: moderation rules will be applied to take words down if 314 00:17:03,720 --> 00:17:06,720 Speaker 1: they're considered hate, speecher or whatever. And so the ambutsman 315 00:17:06,880 --> 00:17:10,560 Speaker 1: role here is more technical and and sort of policy oriented. 316 00:17:10,600 --> 00:17:12,400 Speaker 1: So in this case, for example, let's say that there's 317 00:17:12,440 --> 00:17:16,600 Speaker 1: a intrinsic bias in in Facebook's algorithms, Well, you know, 318 00:17:16,640 --> 00:17:20,240 Speaker 1: an ambutsman could spot that from from both inside and outside. 319 00:17:20,240 --> 00:17:22,200 Speaker 1: They not only can see the damage on the outside, 320 00:17:22,200 --> 00:17:24,359 Speaker 1: but they can see what's causing it, the root cause 321 00:17:24,400 --> 00:17:27,280 Speaker 1: on the inside and recommended change. Non botsman would then 322 00:17:27,320 --> 00:17:30,240 Speaker 1: have the ability to make public recommendations. The company would 323 00:17:30,280 --> 00:17:34,000 Speaker 1: be obligated to respond to those um those recommendations with 324 00:17:34,200 --> 00:17:37,680 Speaker 1: a certain time period etcetera. So that's something that that 325 00:17:38,040 --> 00:17:40,960 Speaker 1: an outside institution which doesn't have access to the algorithms, 326 00:17:41,040 --> 00:17:44,080 Speaker 1: can't do, and an inside, a purely inside institution might 327 00:17:44,119 --> 00:17:46,760 Speaker 1: have a conflict of interest from doing themselves, such as 328 00:17:46,840 --> 00:17:50,160 Speaker 1: an internal ethics group. Non Buosman states straddle the two 329 00:17:50,200 --> 00:17:54,720 Speaker 1: worlds and has perspective on both. It's interesting, this is 330 00:17:54,920 --> 00:17:59,160 Speaker 1: the seriousness of this issue here is getting ever more 331 00:17:59,200 --> 00:18:03,600 Speaker 1: apparent here. Uh, it impacted presently the election. In fact, 332 00:18:03,600 --> 00:18:05,760 Speaker 1: we're having a guest coming up later in the show 333 00:18:05,840 --> 00:18:09,840 Speaker 1: this morning, Jack Divine, former chief of ci CIA's worldwide operations. 334 00:18:09,880 --> 00:18:13,199 Speaker 1: He's actually written a book about what a threat Russia 335 00:18:13,280 --> 00:18:16,679 Speaker 1: poses in the cyber world. Uh, and again calling to 336 00:18:16,720 --> 00:18:21,080 Speaker 1: mind the election. So, Chris, the question is, can we 337 00:18:21,200 --> 00:18:25,320 Speaker 1: really depend upon these platforms to self police given how 338 00:18:25,359 --> 00:18:30,400 Speaker 1: serious this issue is? What the answer is by themselves? 339 00:18:30,560 --> 00:18:32,800 Speaker 1: You know? No? And And the reason is is not 340 00:18:33,000 --> 00:18:35,560 Speaker 1: just that they're you know, might have conflicts of interests 341 00:18:35,640 --> 00:18:38,720 Speaker 1: or financial you know, reasons to do this. The answer 342 00:18:38,760 --> 00:18:41,399 Speaker 1: is that this is really their DNA. They're they're all 343 00:18:41,440 --> 00:18:44,879 Speaker 1: about growth, you know, They an engagement and the problem 344 00:18:44,920 --> 00:18:47,520 Speaker 1: is that growth and engagement sometimes leads to toxic behavior. 345 00:18:47,520 --> 00:18:48,720 Speaker 1: As a matter of fact. You know, as we know, 346 00:18:48,760 --> 00:18:51,640 Speaker 1: we're sort of driven to negative, negative news, and so 347 00:18:51,760 --> 00:18:53,679 Speaker 1: you know, newspapers have the same problem. They sort of 348 00:18:53,680 --> 00:18:55,480 Speaker 1: you know, push negative news because it was more if 349 00:18:55,520 --> 00:18:58,840 Speaker 1: it leads, it leads, If it bleeds, it leads, exactly. 350 00:18:59,080 --> 00:19:00,760 Speaker 1: So we can't count on them to do it themselves. 351 00:19:00,840 --> 00:19:04,000 Speaker 1: We do need some sort of independent oversight at a 352 00:19:04,000 --> 00:19:07,199 Speaker 1: certain scale. Obviously every little startup doesn't doesn't need this, 353 00:19:07,280 --> 00:19:09,840 Speaker 1: but a certain scale you're considered in the big leagues. 354 00:19:10,119 --> 00:19:13,680 Speaker 1: Call it million, you know, active users or a hundred millions. 355 00:19:13,680 --> 00:19:15,920 Speaker 1: You know, we know it when we see it at 356 00:19:15,960 --> 00:19:20,480 Speaker 1: that scale. There's a public responsibility, but there's not a competence. 357 00:19:20,520 --> 00:19:23,439 Speaker 1: We can't assume they have a competence to themselves. We 358 00:19:23,600 --> 00:19:25,800 Speaker 1: you know, we're looking for different methods. Congress doing it 359 00:19:25,800 --> 00:19:29,040 Speaker 1: for them isn't gonna work. Antitrust isn't gonna work. You know, 360 00:19:29,119 --> 00:19:32,560 Speaker 1: Facebook's oversight board is completely overwhelmed. They had two d 361 00:19:32,640 --> 00:19:35,359 Speaker 1: and twenty thousand complaints over the last three years and 362 00:19:35,400 --> 00:19:38,800 Speaker 1: they've resolved and they've looked at seven of them. But Chris, 363 00:19:38,840 --> 00:19:40,520 Speaker 1: your idea is a good one. I mean, is there 364 00:19:40,560 --> 00:19:44,720 Speaker 1: any possibility that it gets traction and ombudsman that straddles 365 00:19:44,760 --> 00:19:49,840 Speaker 1: both worlds and controls the algorithms and you know, uh 366 00:19:50,320 --> 00:19:54,040 Speaker 1: watches the watchers. Well, it's clear that Congress wants to 367 00:19:54,080 --> 00:19:56,320 Speaker 1: do something. They want to pass the law. Um, you know, 368 00:19:56,359 --> 00:20:00,000 Speaker 1: getting rid of the two thirty protections is like an 369 00:20:00,000 --> 00:20:02,800 Speaker 1: an H bomb. It's it's not gonna work. So you know, 370 00:20:02,880 --> 00:20:04,720 Speaker 1: they can need to bring up you know, Mark Zuckerberg 371 00:20:04,760 --> 00:20:07,760 Speaker 1: gonna tie every every three months, and they know, have 372 00:20:07,880 --> 00:20:10,320 Speaker 1: that little that little circus, or they can pass a 373 00:20:10,359 --> 00:20:13,920 Speaker 1: while requiring them to have this independent board member called 374 00:20:14,040 --> 00:20:17,320 Speaker 1: non budsman called you know, a public editor. Whatever they want, 375 00:20:17,640 --> 00:20:20,600 Speaker 1: and that seems structural, It seems easy to do. And 376 00:20:20,600 --> 00:20:23,679 Speaker 1: then you know what the experiment play out. Is there 377 00:20:23,800 --> 00:20:30,080 Speaker 1: appetite in Washington for that? Is there appetite for for action? Yes? 378 00:20:30,359 --> 00:20:33,119 Speaker 1: Is it an non budsman per se. Let's hope far 379 00:20:33,480 --> 00:20:36,479 Speaker 1: our o edit hasment influenced there. And I wonder if 380 00:20:36,480 --> 00:20:39,720 Speaker 1: there's appetite and Silicon Valley, because on the one hand, 381 00:20:39,760 --> 00:20:41,679 Speaker 1: they want to get rid of this problem, then they 382 00:20:41,680 --> 00:20:43,400 Speaker 1: don't have to deal with the idea that they would 383 00:20:43,400 --> 00:20:45,800 Speaker 1: have to break up our to thirty. On the other hand, 384 00:20:46,000 --> 00:20:50,040 Speaker 1: they want growth and engagement exactly. I think it's an 385 00:20:50,040 --> 00:20:52,399 Speaker 1: appetite to get to I mean, they want to do 386 00:20:52,440 --> 00:20:54,520 Speaker 1: the right thing. They're just not really set up to 387 00:20:54,560 --> 00:20:56,520 Speaker 1: do the right thing, and all the incentives are wrong. 388 00:20:56,880 --> 00:21:00,719 Speaker 1: So if they could have a a a surgical you know, 389 00:21:01,000 --> 00:21:03,480 Speaker 1: um effective solution, which is to say, one of the 390 00:21:03,520 --> 00:21:06,520 Speaker 1: board members have to be independent, has to be responsible 391 00:21:06,520 --> 00:21:08,280 Speaker 1: for this, has to be accountable to the public, but 392 00:21:08,359 --> 00:21:11,760 Speaker 1: a visible internally, I think they'd love it. It reminds 393 00:21:11,760 --> 00:21:14,439 Speaker 1: me of when Google decided they needed an adult in 394 00:21:14,480 --> 00:21:17,600 Speaker 1: the room and they brought in actual Eric Schmitt. Chris, 395 00:21:17,600 --> 00:21:19,560 Speaker 1: thanks so much for joining us, real pleasure're talking to you. 396 00:21:19,600 --> 00:21:22,840 Speaker 1: Fascinating stuff. Chris Anderson, CEO and co founder of three 397 00:21:22,880 --> 00:21:28,159 Speaker 1: D Robotics, also writing one of our pieces on Bloomberg Opinion. 398 00:21:28,200 --> 00:21:30,760 Speaker 1: If you want to see the work of our opinion people, 399 00:21:30,920 --> 00:21:34,679 Speaker 1: just type in O, P, I N GO on your 400 00:21:34,720 --> 00:21:40,480 Speaker 1: Bloomberg terminal. Let's talk about weed a little bit, because 401 00:21:40,600 --> 00:21:46,639 Speaker 1: New York lawmakers are agreeing to legalize recreational marijuana and 402 00:21:46,800 --> 00:21:50,720 Speaker 1: we could see dispensaries opening up as early as next year. 403 00:21:50,800 --> 00:21:53,800 Speaker 1: Let's bring in Keisha Cluki. She's a government reporter out 404 00:21:53,840 --> 00:21:59,120 Speaker 1: of Albany. Keisha, Um, so this is really going to happen. Yeah. Yeah, 405 00:21:59,119 --> 00:22:01,920 Speaker 1: it's a long time coming. Lawmakers have been pushed in 406 00:22:01,960 --> 00:22:04,359 Speaker 1: it the last few years, but they managed to push 407 00:22:04,400 --> 00:22:07,120 Speaker 1: it through and we're expecting a vote on the bill 408 00:22:07,160 --> 00:22:09,840 Speaker 1: any day now and Governor Cuomo has already staid he's 409 00:22:09,880 --> 00:22:13,560 Speaker 1: ready to sign it. Alright, So what does this mean 410 00:22:13,760 --> 00:22:16,240 Speaker 1: from I mean, how did that? Did think? Why? Now? 411 00:22:16,280 --> 00:22:20,040 Speaker 1: I guess how did this get done? Now? Keisha? Yeah? Well, 412 00:22:20,080 --> 00:22:22,760 Speaker 1: I think Um, Like I said, lawmakers have been pushing 413 00:22:22,760 --> 00:22:24,919 Speaker 1: it for the last few years, and they've really just 414 00:22:25,000 --> 00:22:28,719 Speaker 1: been stuck on a certain number of issues within the 415 00:22:28,720 --> 00:22:30,800 Speaker 1: bill and they weren't able to pass it through and 416 00:22:30,880 --> 00:22:34,320 Speaker 1: the last few years and sessions, UM. Last year they 417 00:22:34,400 --> 00:22:36,679 Speaker 1: said we've got it figured out, we're going to go 418 00:22:36,760 --> 00:22:39,280 Speaker 1: through and do it, and then the coronavirus pandemic hit, 419 00:22:39,440 --> 00:22:42,800 Speaker 1: so it was really delayed an additional year. Um. And 420 00:22:42,840 --> 00:22:46,280 Speaker 1: I think there's really this additional push because there's we're 421 00:22:46,320 --> 00:22:49,880 Speaker 1: surrounded New York day is surrounded by states passing UM 422 00:22:49,920 --> 00:22:54,000 Speaker 1: and legalizing recreational adult youth marijuana. New Jerseys on on 423 00:22:54,119 --> 00:22:56,240 Speaker 1: track to do it in a in two years. I 424 00:22:56,280 --> 00:22:59,040 Speaker 1: believe in New York is used to being first, and 425 00:22:59,080 --> 00:23:03,119 Speaker 1: I think here, uh, they've really been waiting and looking 426 00:23:03,119 --> 00:23:05,439 Speaker 1: at what's been going on nationally and they want to 427 00:23:05,440 --> 00:23:07,800 Speaker 1: get out there and get get their hands on some 428 00:23:07,880 --> 00:23:10,600 Speaker 1: of that tax revenue. So funny to think of adult 429 00:23:10,720 --> 00:23:13,880 Speaker 1: use marijuana because I feel like people quit smoking pot 430 00:23:13,920 --> 00:23:16,520 Speaker 1: when they're twenty one or older. It's like a it's 431 00:23:16,560 --> 00:23:19,280 Speaker 1: a high school thing. But this is do a lot 432 00:23:19,280 --> 00:23:23,320 Speaker 1: of people in New York smoke pot? Well, it's it's 433 00:23:23,320 --> 00:23:27,399 Speaker 1: actually expected to be. We we have a large marijuana 434 00:23:27,720 --> 00:23:30,800 Speaker 1: medical marijuana market right now, but this is gonna be 435 00:23:30,880 --> 00:23:34,920 Speaker 1: anywhere from a four point to to six billion dollar 436 00:23:35,080 --> 00:23:40,560 Speaker 1: industry depending on on what your what business outlooks you're 437 00:23:40,560 --> 00:23:42,760 Speaker 1: looking at now. So it's gonna be one of the 438 00:23:42,840 --> 00:23:45,960 Speaker 1: largest markets in the US, maybe I think even second 439 00:23:46,160 --> 00:23:50,840 Speaker 1: to second in the nation to California. Alright, how about 440 00:23:50,960 --> 00:23:54,200 Speaker 1: for the folks that may have been convicted of a 441 00:23:54,359 --> 00:23:57,680 Speaker 1: marijuana related crime, what happens to them and their records 442 00:23:57,680 --> 00:24:00,880 Speaker 1: and so on. Yeah. So one of the main things 443 00:24:00,920 --> 00:24:03,880 Speaker 1: that lawmakers have been pushing to do in this legislation 444 00:24:04,080 --> 00:24:07,520 Speaker 1: is to help people who help both people and the 445 00:24:07,680 --> 00:24:12,199 Speaker 1: communities who were hindered by previous drug laws and UH, 446 00:24:12,359 --> 00:24:14,840 Speaker 1: the bill which came out this the details came out 447 00:24:14,880 --> 00:24:17,639 Speaker 1: this weekend, is going to have an automatic expungement of 448 00:24:17,680 --> 00:24:22,080 Speaker 1: records for people with previous convictions who UM for activities 449 00:24:22,119 --> 00:24:24,840 Speaker 1: that would no longer be criminalized. So as soon as UM, 450 00:24:24,920 --> 00:24:28,920 Speaker 1: marijuana would be legal for people ages twenty one and older, UM, 451 00:24:29,000 --> 00:24:33,320 Speaker 1: and they're going to reduce the amount of UM. The 452 00:24:33,800 --> 00:24:37,119 Speaker 1: there's still a certain amount of marijuana that you can 453 00:24:37,200 --> 00:24:39,200 Speaker 1: have on your person. It's not you know, a free 454 00:24:39,200 --> 00:24:41,720 Speaker 1: for all. UM. There's still rules. They want to make 455 00:24:41,760 --> 00:24:44,480 Speaker 1: sure that they're keeping the market legal, people aren't selling 456 00:24:44,480 --> 00:24:46,760 Speaker 1: it on the black market, and really trying to keep 457 00:24:46,800 --> 00:24:49,439 Speaker 1: it safe. But they're also trying to make sure that 458 00:24:49,520 --> 00:24:54,360 Speaker 1: individuals aren't targeted for this. Has it been unsafe before? 459 00:24:54,359 --> 00:24:59,840 Speaker 1: We've seen danger problems with pot. Yeah, I mean when 460 00:25:00,080 --> 00:25:01,959 Speaker 1: when people are buying it on the black market. And 461 00:25:01,960 --> 00:25:05,280 Speaker 1: this is just talking to lawmakers. UM, it can really 462 00:25:05,280 --> 00:25:08,879 Speaker 1: contain anything. There's no guarantee of what's in it. So 463 00:25:09,359 --> 00:25:12,720 Speaker 1: just like alcohol. Way back in the day when alcohol 464 00:25:12,840 --> 00:25:16,320 Speaker 1: was UM, they they started a labeling system. Actually with 465 00:25:16,320 --> 00:25:20,359 Speaker 1: Bourbon was the first labeling system. Thats wired you to 466 00:25:20,440 --> 00:25:23,480 Speaker 1: put exactly what was in it, because people were putting 467 00:25:23,520 --> 00:25:25,720 Speaker 1: anything in it, and it'll be the same with marijuana, 468 00:25:25,720 --> 00:25:29,480 Speaker 1: so theoretically it'll be safer controlled. You know, the dosage 469 00:25:29,520 --> 00:25:32,000 Speaker 1: that you're getting, um, you know exactly what's been it. 470 00:25:33,160 --> 00:25:35,040 Speaker 1: A Keisha, thank you so much for joining us. We 471 00:25:35,080 --> 00:25:40,240 Speaker 1: appreciate a. Keisha Kluki, government reporter for Bloomberg Government Weed legalized, 472 00:25:40,240 --> 00:25:42,320 Speaker 1: weed coming to New York State. Here in New Jersey, 473 00:25:42,400 --> 00:25:44,439 Speaker 1: it has been legalized, although I don't think it's actually 474 00:25:44,440 --> 00:25:47,880 Speaker 1: been implemented yet. They're kind of working some things out, 475 00:25:47,920 --> 00:25:50,840 Speaker 1: but it's coming and it's interesting. You know, it doesn't 476 00:25:50,840 --> 00:25:53,520 Speaker 1: appear math that there's going to be a federal law 477 00:25:53,680 --> 00:25:57,320 Speaker 1: anytime soon, but the boy, the states are moving very aggressively, 478 00:25:57,640 --> 00:25:59,960 Speaker 1: and so when you get a big state like New York, 479 00:26:00,040 --> 00:26:04,240 Speaker 1: that really makes a statement. Of course, California, Colorado, some 480 00:26:04,240 --> 00:26:06,160 Speaker 1: of the other western states have had it, but it's 481 00:26:06,200 --> 00:26:09,040 Speaker 1: been really it's a big statement here when uh, you know, 482 00:26:09,080 --> 00:26:11,280 Speaker 1: state as large as New York does it. Of course 483 00:26:11,320 --> 00:26:14,000 Speaker 1: with New York City, so it's a big move forward 484 00:26:14,040 --> 00:26:17,359 Speaker 1: for the cannabis business. Thanks for listening to the Bloomberg 485 00:26:17,400 --> 00:26:20,800 Speaker 1: Markets podcast. You can subscribe and listen to interviews of 486 00:26:20,880 --> 00:26:25,639 Speaker 1: Apple Podcasts or whatever podcast platform you prefer. I'm Matt Miller. 487 00:26:25,920 --> 00:26:30,199 Speaker 1: I'm on Twitter at Matt Miller three. On Fall Sweeney, 488 00:26:30,200 --> 00:26:32,840 Speaker 1: I'm on Twitter at pt Sweeney Before the podcast. You 489 00:26:32,840 --> 00:26:35,240 Speaker 1: can always catch us worldwide at Bloomberg Radio