1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:34,800 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. The 7 00:00:34,880 --> 00:00:39,760 Speaker 1: United States loses about seventy billion dollars a year in 8 00:00:40,120 --> 00:00:43,519 Speaker 1: tax revenues due to the shifting of corporate taxes to 9 00:00:43,760 --> 00:00:48,320 Speaker 1: tax havens. Here to talk about this whole underworld of 10 00:00:48,479 --> 00:00:52,720 Speaker 1: secretly stashed money is Jake Bernstein. He's author and reporter 11 00:00:53,080 --> 00:00:56,280 Speaker 1: and journal it and uh the person who wrote the 12 00:00:56,280 --> 00:00:59,960 Speaker 1: book Secrecy World Inside the Panama Papers Investigation of Alyssa 13 00:01:00,160 --> 00:01:03,279 Speaker 1: money networks and the global Elite. He joins us here 14 00:01:03,320 --> 00:01:06,600 Speaker 1: in our eleven three Oh Studios. Jake, can you give 15 00:01:06,680 --> 00:01:10,160 Speaker 1: us a sense of just how big this secret world 16 00:01:10,440 --> 00:01:13,679 Speaker 1: is and who the players are that have stashed their 17 00:01:13,720 --> 00:01:17,600 Speaker 1: money in it? Lisa, I mean, it's only an estimate, 18 00:01:17,640 --> 00:01:20,600 Speaker 1: but there are trillions of dollars that throw that flow 19 00:01:20,680 --> 00:01:23,200 Speaker 1: through this underground economy. I mean, just to give you 20 00:01:23,240 --> 00:01:25,920 Speaker 1: a taste of it. The U. S. Treasury estimates that 21 00:01:26,160 --> 00:01:30,560 Speaker 1: three hundred billion dollars is laundered in the United States 22 00:01:30,640 --> 00:01:34,640 Speaker 1: every year. That's just in the United States. Um. And 23 00:01:34,680 --> 00:01:37,520 Speaker 1: to give you a taste of of what of what 24 00:01:37,600 --> 00:01:41,320 Speaker 1: the Panama Papers sort of reaped for tax authorities worldwide. 25 00:01:41,520 --> 00:01:45,280 Speaker 1: To date, they've recovered half a billion dollars in taxes 26 00:01:45,319 --> 00:01:48,840 Speaker 1: that were evaded as a result of the Panama Papers leak. 27 00:01:49,440 --> 00:01:52,000 Speaker 1: What did you learn in doing all of your investigations 28 00:01:52,040 --> 00:01:54,840 Speaker 1: for the book in terms of the motivation behind all 29 00:01:54,880 --> 00:01:57,000 Speaker 1: of this, Because there are a lot of ways that 30 00:01:57,120 --> 00:01:59,320 Speaker 1: you can hide your income, there are many ways in 31 00:01:59,360 --> 00:02:03,320 Speaker 1: which you can avoid paying taxes. What did you come 32 00:02:03,360 --> 00:02:08,080 Speaker 1: away with on a thematic basis? That's interesting question because 33 00:02:08,440 --> 00:02:11,960 Speaker 1: as one most like Fonseca lawyer, this is the Panamanian 34 00:02:12,160 --> 00:02:15,359 Speaker 1: law firm behind the Panama PAPERSUS. One lawyer said candidly 35 00:02:15,680 --> 00:02:19,560 Speaker 1: in a private email. He said, of our business is 36 00:02:19,600 --> 00:02:22,760 Speaker 1: to help our clients legally avoid taxes, and so I 37 00:02:22,800 --> 00:02:26,440 Speaker 1: think that's the major so impetus for people who use 38 00:02:26,520 --> 00:02:29,079 Speaker 1: this off shore system. But at the same time it's 39 00:02:29,080 --> 00:02:34,200 Speaker 1: also being used for criminals, money launders, drug traffickers, ponzi schemers, 40 00:02:34,240 --> 00:02:36,160 Speaker 1: all those kinds of things that we found in the 41 00:02:36,200 --> 00:02:39,840 Speaker 1: Panama papers. So how does this work? Ah? Well, I 42 00:02:39,880 --> 00:02:43,359 Speaker 1: mean there's there's different layers of sophistication, right, I mean, 43 00:02:43,400 --> 00:02:46,160 Speaker 1: the the simplest way is is you get an anonymous 44 00:02:46,160 --> 00:02:49,359 Speaker 1: shell company in Panama or the British Virgin Islands or 45 00:02:49,360 --> 00:02:52,040 Speaker 1: a place like that, and they use that to open 46 00:02:52,320 --> 00:02:55,800 Speaker 1: a bank account somewhere, maybe in Singapore, maybe in Cyprus, 47 00:02:55,880 --> 00:02:58,520 Speaker 1: someplace like that, and then you can do sort of business. 48 00:02:58,560 --> 00:03:02,800 Speaker 1: But true wealthy people are much more sophisticated. They do layering. 49 00:03:03,000 --> 00:03:06,239 Speaker 1: So you have an anonymous shell company, it'll have fake directors, 50 00:03:06,400 --> 00:03:08,520 Speaker 1: It'll be attached to a trust, which will be attached 51 00:03:08,520 --> 00:03:11,000 Speaker 1: to a foundation, and so there's different layers that makes 52 00:03:11,000 --> 00:03:14,720 Speaker 1: it almost impossible to figure out who's actually behind it. 53 00:03:14,800 --> 00:03:18,720 Speaker 1: Is there any guidance that you've seen from governments or 54 00:03:18,800 --> 00:03:22,000 Speaker 1: law enforcement officials in order to deal with this in 55 00:03:22,040 --> 00:03:25,560 Speaker 1: the future, because I can't imagine that everybody's just shut 56 00:03:25,600 --> 00:03:29,280 Speaker 1: down their entire system as you've described it. It's probably 57 00:03:29,320 --> 00:03:33,240 Speaker 1: morphed into something else, perhaps even more sophisticated. You're absolutely right. 58 00:03:33,280 --> 00:03:34,800 Speaker 1: I mean, this is one of the things that I 59 00:03:34,840 --> 00:03:36,800 Speaker 1: talked about in my book Secrecy World, and that you 60 00:03:36,800 --> 00:03:39,520 Speaker 1: can really see through the Panama papers is this is 61 00:03:39,960 --> 00:03:43,960 Speaker 1: a living organism almost. I mean it evolves over time 62 00:03:44,040 --> 00:03:47,160 Speaker 1: to to take advantage of different things. And you know, 63 00:03:47,240 --> 00:03:49,920 Speaker 1: one one avenue is shut off, it moves to another place. 64 00:03:50,240 --> 00:03:53,119 Speaker 1: So for example, if the b v I tightens up, uh, 65 00:03:53,160 --> 00:03:56,520 Speaker 1: you know, stuff moves to Singapore, moves to Dubai and 66 00:03:56,760 --> 00:04:00,640 Speaker 1: uh and it continues on. We talked about who the 67 00:04:00,760 --> 00:04:06,000 Speaker 1: people are behind this world. It's from rich people all 68 00:04:06,000 --> 00:04:09,480 Speaker 1: over the world, right, Um, But Russia has played a 69 00:04:09,520 --> 00:04:13,920 Speaker 1: sort of central role in this universe. Can you explain 70 00:04:13,960 --> 00:04:16,560 Speaker 1: why that is? Sure? I mean, part of it is 71 00:04:16,600 --> 00:04:18,280 Speaker 1: the fact that there is you know, the rule of 72 00:04:18,360 --> 00:04:22,000 Speaker 1: law as tenuous at best in Russia. So people are 73 00:04:22,040 --> 00:04:24,599 Speaker 1: are eager to to send their money out of the 74 00:04:24,640 --> 00:04:27,440 Speaker 1: country because they're afraid that someone might take it because 75 00:04:27,480 --> 00:04:30,520 Speaker 1: the judicial system is rigged, right, So there's major offshore 76 00:04:30,560 --> 00:04:33,000 Speaker 1: and there's been a lot of instability, you know, and 77 00:04:33,000 --> 00:04:35,440 Speaker 1: and and prices are fluctuated, and so that's part of 78 00:04:35,480 --> 00:04:38,679 Speaker 1: the motivation. Also, people want to park their cash someplace 79 00:04:38,720 --> 00:04:41,320 Speaker 1: where it's safe, oftentimes in real estate here in the 80 00:04:41,400 --> 00:04:44,280 Speaker 1: United States or in London places like that. But at 81 00:04:44,320 --> 00:04:47,479 Speaker 1: the same time, the oligarchs and UH and the power 82 00:04:47,560 --> 00:04:51,800 Speaker 1: centers around Vladimir Putin himself are very adept at using this. 83 00:04:52,839 --> 00:04:55,599 Speaker 1: A number of them have backgrounds in the KGB and 84 00:04:55,640 --> 00:04:58,880 Speaker 1: they have been working with the offshore system for decades. 85 00:04:59,200 --> 00:05:00,680 Speaker 1: They know how to use is it and how to 86 00:05:00,760 --> 00:05:05,000 Speaker 1: hide their activities? Really well, how prevalent is it among 87 00:05:05,640 --> 00:05:08,440 Speaker 1: the wealthiest individuals in the United States? I mean, I 88 00:05:08,480 --> 00:05:12,440 Speaker 1: know that there's been some talk of the current cabinet 89 00:05:13,040 --> 00:05:17,160 Speaker 1: of the US UH government that it's the wealthiest cabinet 90 00:05:17,200 --> 00:05:21,120 Speaker 1: ever in the history of of the country. Um, are 91 00:05:21,160 --> 00:05:23,520 Speaker 1: they tied in it all? Well? There was a second 92 00:05:23,560 --> 00:05:27,080 Speaker 1: leak after the Panama Papers, called the Paradise Papers, which 93 00:05:27,080 --> 00:05:30,359 Speaker 1: centered around a law firm in Bermuda called Appleby, and 94 00:05:30,400 --> 00:05:33,440 Speaker 1: there were more than thirty one thousand Americans found in 95 00:05:33,440 --> 00:05:37,320 Speaker 1: that league alone. So it's it's quite prevalent, and it 96 00:05:37,480 --> 00:05:41,560 Speaker 1: is being used by wealthy all over the world, including 97 00:05:41,600 --> 00:05:45,840 Speaker 1: the United States. The Paradise Papers UH revealed a number 98 00:05:45,920 --> 00:05:50,640 Speaker 1: of Democratic wealthy donors and Republican wealthy donors, and as 99 00:05:50,640 --> 00:05:53,960 Speaker 1: you say, a number of Trump cabinet members and donors, 100 00:05:54,200 --> 00:05:58,400 Speaker 1: including Wilbur Ross. The Secretary of Commerce. Is there an 101 00:05:58,520 --> 00:06:02,840 Speaker 1: industry uh that is out there actively pursuing this kind 102 00:06:02,880 --> 00:06:06,919 Speaker 1: of business? I mean yes, it's there's a whole infrastructure 103 00:06:06,960 --> 00:06:11,320 Speaker 1: behind the secrecy world. And it's bankers, it's lawyers, it's accountants, 104 00:06:11,360 --> 00:06:16,039 Speaker 1: it's trust managers. Um, it's it's thriving. They have meetings, 105 00:06:16,160 --> 00:06:19,200 Speaker 1: um and uh, and they're doing well that they do 106 00:06:19,279 --> 00:06:23,960 Speaker 1: not feel any I mean the more regulatory rules that 107 00:06:24,000 --> 00:06:27,200 Speaker 1: are overlaid on top of this just means more business 108 00:06:27,279 --> 00:06:29,280 Speaker 1: for them. That's where I was going with this. So, 109 00:06:29,400 --> 00:06:33,039 Speaker 1: as a result of increased attention to this very issue, 110 00:06:33,839 --> 00:06:37,440 Speaker 1: has this is this something that you can fight from 111 00:06:37,680 --> 00:06:41,279 Speaker 1: the regulatory side or is there a way to I 112 00:06:41,279 --> 00:06:43,640 Speaker 1: don't know whether there's a way to convince individuals who 113 00:06:43,880 --> 00:06:46,520 Speaker 1: do this kind of stuff to just stop doing it 114 00:06:46,560 --> 00:06:49,919 Speaker 1: because it's so complicated. What's so interesting is that what 115 00:06:50,040 --> 00:06:53,159 Speaker 1: the Panama paper showed was this firm, most Conseca, that 116 00:06:53,240 --> 00:06:55,719 Speaker 1: had this crazy business model, right. They wanted to be 117 00:06:55,760 --> 00:06:58,599 Speaker 1: the McDonald's of the off shore system, right, high volume, 118 00:06:58,680 --> 00:07:01,159 Speaker 1: low cost, and they want to make it available to 119 00:07:01,560 --> 00:07:04,880 Speaker 1: lots of people, particularly the New Wealth in the developing world. 120 00:07:05,080 --> 00:07:07,200 Speaker 1: Well that's starting to change now and the bar to 121 00:07:07,360 --> 00:07:10,640 Speaker 1: entry is getting higher. So really it's for people who 122 00:07:10,720 --> 00:07:13,240 Speaker 1: who are who are really rich, and you know, not 123 00:07:13,320 --> 00:07:15,880 Speaker 1: just the merely wealthy, but the uber wealthy, people who 124 00:07:15,880 --> 00:07:18,480 Speaker 1: have fifty million dollars and more. And these people do 125 00:07:18,560 --> 00:07:20,720 Speaker 1: not look at the nation state in the same way 126 00:07:20,760 --> 00:07:23,120 Speaker 1: that most of us do. Right. They have homes in 127 00:07:23,160 --> 00:07:25,840 Speaker 1: London and New York and in some place sunny, and 128 00:07:25,920 --> 00:07:28,680 Speaker 1: they have bank accounts in Switzerland and lots of different places, 129 00:07:29,080 --> 00:07:32,280 Speaker 1: and uh, and it's very hard to sort of appeal 130 00:07:32,360 --> 00:07:34,680 Speaker 1: to their conscience and say, oh, you know, you should 131 00:07:34,720 --> 00:07:36,480 Speaker 1: pay attention to the place where you were born or 132 00:07:36,520 --> 00:07:39,000 Speaker 1: where you make your money. So it's a challenge, but 133 00:07:39,240 --> 00:07:42,400 Speaker 1: I mean, it's going to require a population that gets 134 00:07:42,760 --> 00:07:46,240 Speaker 1: awoken to what's happening here. One thing that you said 135 00:07:46,240 --> 00:07:49,280 Speaker 1: when you walked in is it's sort of interesting how 136 00:07:49,320 --> 00:07:52,280 Speaker 1: central of a role the US plays in this secret world. 137 00:07:52,320 --> 00:07:54,360 Speaker 1: Can you just quickly give a sense of what you're 138 00:07:54,400 --> 00:08:00,040 Speaker 1: talking about? Sure? I mean, one of the people have 139 00:07:59,240 --> 00:08:02,640 Speaker 1: have have said, and I think it's probably true that 140 00:08:02,760 --> 00:08:05,320 Speaker 1: the the US is the largest tax haven in the world. 141 00:08:05,840 --> 00:08:08,560 Speaker 1: Now this strikes many people as crazy, right, They think 142 00:08:08,560 --> 00:08:11,360 Speaker 1: of tax havens as a sunny place with palm trees 143 00:08:11,400 --> 00:08:15,720 Speaker 1: and ocean breezes. But in fact, Delaware, Wyoming, Nevada are 144 00:08:15,760 --> 00:08:18,400 Speaker 1: pumping out tens of thousands, hundreds of thousands of these 145 00:08:18,400 --> 00:08:21,120 Speaker 1: anonymous shell companies all the time. I mean, the Delaware 146 00:08:21,120 --> 00:08:24,920 Speaker 1: Public Registry pulls in a billion dollars a year on 147 00:08:25,160 --> 00:08:29,720 Speaker 1: fees just associated with this business. It's great for them, 148 00:08:29,760 --> 00:08:32,200 Speaker 1: and the Secretaries of State, led by Delaware have made 149 00:08:32,280 --> 00:08:35,200 Speaker 1: sure that the rules have always been very favorable to 150 00:08:35,240 --> 00:08:38,040 Speaker 1: them for this, even though the State Department and Treasury 151 00:08:38,040 --> 00:08:41,800 Speaker 1: Department have complained bitterly that this system Delaware companies are 152 00:08:41,800 --> 00:08:46,640 Speaker 1: being used by Russian mafia and transnational gangs. Jacob Bernstein, 153 00:08:46,720 --> 00:08:50,720 Speaker 1: thank you very much. Author reporter his book Secrecy World 154 00:08:50,880 --> 00:08:55,120 Speaker 1: Inside the Panama Papers, investigation of elicit money, networks and 155 00:08:55,320 --> 00:08:59,520 Speaker 1: the global elite. Follow him on Twitter at Jake Underscore 156 00:08:59,559 --> 00:09:15,480 Speaker 1: Burns Sam Let's turn our attention out to the world 157 00:09:15,520 --> 00:09:19,360 Speaker 1: of gaming. Brian Edgar is our senior gaming and lodging 158 00:09:19,360 --> 00:09:22,480 Speaker 1: analysts for Bloomberg Intelligence, and he can be followed on 159 00:09:22,520 --> 00:09:26,959 Speaker 1: Twitter at Breaking Call and Brian, I understand that the 160 00:09:27,040 --> 00:09:29,439 Speaker 1: kind of epicenter of the world of gaming might be 161 00:09:29,840 --> 00:09:37,520 Speaker 1: shifting just slightly to upstate New York, cat slots, a 162 00:09:37,640 --> 00:09:41,080 Speaker 1: hundred and thirty table games, one point to billion dollars, 163 00:09:41,160 --> 00:09:44,400 Speaker 1: three hundred and thirty hotel rooms, a golf course, a 164 00:09:44,520 --> 00:09:49,199 Speaker 1: water park, and it's just five miles from uh Monticello 165 00:09:49,320 --> 00:09:52,720 Speaker 1: Raceway exactly. No, it's a big year for domestic gaming 166 00:09:52,760 --> 00:09:56,199 Speaker 1: outside Vegas, with anywhere from five to fifteen casinos opening up. 167 00:09:56,200 --> 00:09:58,400 Speaker 1: You mentioned the one of the cat's skills. That's a 168 00:09:58,400 --> 00:10:00,640 Speaker 1: big deal because Genting is a powerful company with a 169 00:10:00,640 --> 00:10:03,600 Speaker 1: lot of Asian properties. That property will be ninety miles 170 00:10:03,600 --> 00:10:06,560 Speaker 1: from New York City. There's a cross marketing opportunities. So 171 00:10:06,600 --> 00:10:09,520 Speaker 1: we are seeing this year a very big and consequential 172 00:10:09,960 --> 00:10:13,360 Speaker 1: build out of casinos in various states within the Northeast, 173 00:10:13,400 --> 00:10:16,800 Speaker 1: which is which is a very pronounced development. So what's 174 00:10:16,840 --> 00:10:21,199 Speaker 1: driving this because typically we think of Las Vegas. Uh, 175 00:10:21,360 --> 00:10:23,439 Speaker 1: it has the weather, right, I mean, if you've got 176 00:10:23,440 --> 00:10:26,440 Speaker 1: the snow, it's not exactly as encouraging. They have the 177 00:10:26,559 --> 00:10:29,959 Speaker 1: laws that allow it. What's driving the Northeast build out? 178 00:10:29,960 --> 00:10:34,000 Speaker 1: I think it's really tapping new markets there's high population density. 179 00:10:34,040 --> 00:10:36,360 Speaker 1: You've got the build out and development of the Western 180 00:10:36,400 --> 00:10:39,959 Speaker 1: New England market where MGM will be the Catskills market. 181 00:10:39,960 --> 00:10:43,080 Speaker 1: As you mentioned, uh Atlantic City had a monopoly in 182 00:10:43,120 --> 00:10:46,000 Speaker 1: the northeast up until the that's all changed and now 183 00:10:46,080 --> 00:10:50,080 Speaker 1: the northeast market is a ten billion dollar five state market, 184 00:10:50,080 --> 00:10:52,679 Speaker 1: the same size as Las Vegas. So it really it's 185 00:10:52,679 --> 00:10:55,480 Speaker 1: about where the people are and the opportunity to bring 186 00:10:55,520 --> 00:10:59,600 Speaker 1: those casinos closer to population centers. Is it likely that 187 00:10:59,679 --> 00:11:02,959 Speaker 1: this will encourage even more building and as a result 188 00:11:03,000 --> 00:11:06,160 Speaker 1: we're gonna end up with a glut of gaming opportunities. Well, 189 00:11:06,200 --> 00:11:07,880 Speaker 1: the one state I would point to where there is 190 00:11:07,920 --> 00:11:11,080 Speaker 1: an unusual a man of expansion is Pennsylvania. Pennsylvania just 191 00:11:11,160 --> 00:11:15,760 Speaker 1: in October authorized ten new uh mini casinos to be 192 00:11:15,760 --> 00:11:18,880 Speaker 1: built throughout the state. That's on top of twelve existing 193 00:11:18,960 --> 00:11:22,800 Speaker 1: racetrack and stand alone casino So Pennsylvania authorized for tax 194 00:11:22,880 --> 00:11:26,040 Speaker 1: revenue generation purposes a very large build out. It will 195 00:11:26,080 --> 00:11:29,679 Speaker 1: include slots and airports and and up to five video 196 00:11:29,679 --> 00:11:33,400 Speaker 1: gaming devices at truck stops. So Pennsylvania itself is making 197 00:11:33,400 --> 00:11:36,400 Speaker 1: a big rab for a big move towards expanding gaming 198 00:11:36,400 --> 00:11:38,480 Speaker 1: in that state. So yes, there's some cities where it's 199 00:11:38,600 --> 00:11:40,960 Speaker 1: very rapidly development. So what does this all mean for 200 00:11:41,040 --> 00:11:44,679 Speaker 1: Atlantic Avenue. I mean it has obviously gotten pretty run down. 201 00:11:45,080 --> 00:11:47,199 Speaker 1: Will it rebuild, will it try to compete, or will 202 00:11:47,240 --> 00:11:49,920 Speaker 1: this just sort of further deteriorate the outlook Atlantic City. 203 00:11:50,240 --> 00:11:53,040 Speaker 1: Despite its many problems, it went from twelve casinos to 204 00:11:53,120 --> 00:11:56,400 Speaker 1: seven after an extensive shakeout. At least now is starting 205 00:11:56,440 --> 00:11:59,320 Speaker 1: to grow. Same store growth in Atlantic City was up 206 00:11:59,360 --> 00:12:05,000 Speaker 1: seven percent last year. Um, Burgata uh is still the 207 00:12:05,040 --> 00:12:08,520 Speaker 1: dominant property owned by MGM that's in the market. Um, 208 00:12:08,600 --> 00:12:10,280 Speaker 1: we'll see I think we're what you're doing now is 209 00:12:10,280 --> 00:12:12,760 Speaker 1: this summer you'll see two new casinos in Atlantic City 210 00:12:13,360 --> 00:12:16,800 Speaker 1: opening up. You've got both the hard Rock Casino and 211 00:12:16,840 --> 00:12:19,360 Speaker 1: the and the Ocean Ocean Resort will grow the market 212 00:12:19,360 --> 00:12:22,120 Speaker 1: by almost The real test will be whether or not 213 00:12:22,559 --> 00:12:25,120 Speaker 1: you've get enough critical massive gaming attractions to bring in 214 00:12:25,240 --> 00:12:29,600 Speaker 1: enough people to offset the potential adverse effect, competitive effect 215 00:12:29,600 --> 00:12:32,520 Speaker 1: and other properties. So who's gonna be the big beneficiary? 216 00:12:32,559 --> 00:12:34,800 Speaker 1: What companies are the ones that really are going to 217 00:12:35,120 --> 00:12:37,360 Speaker 1: be able to take advantage of this build out? You know, 218 00:12:37,440 --> 00:12:40,480 Speaker 1: taking a step back and looking at the northeast horizon, generally, 219 00:12:40,640 --> 00:12:43,800 Speaker 1: MGM has got a big advantage because it has really 220 00:12:43,880 --> 00:12:47,640 Speaker 1: a corridor of casinos from National Harbor in Maryland to Burgota, 221 00:12:47,679 --> 00:12:51,360 Speaker 1: Atlantic City and as a September Springfield and Massachusetts. So 222 00:12:51,440 --> 00:12:53,640 Speaker 1: it really has got a walk on a corridor of 223 00:12:53,640 --> 00:12:56,880 Speaker 1: powerful properties with a big brand name in the northeast. 224 00:12:56,920 --> 00:12:58,880 Speaker 1: There are some losers as well, and I can talk 225 00:12:58,920 --> 00:13:02,280 Speaker 1: about those. Uh in Pennsylvania. Penn National is going to 226 00:13:02,360 --> 00:13:06,360 Speaker 1: face off against some potential new small casinos in that state. 227 00:13:06,480 --> 00:13:10,400 Speaker 1: And also penn has a racetrack casino in Massachusetts, Plain 228 00:13:10,480 --> 00:13:13,040 Speaker 1: Rich Park, which is going to get new competition both 229 00:13:13,040 --> 00:13:16,760 Speaker 1: from MGM and Springfield and from Tiverton in Rhode Island. 230 00:13:17,840 --> 00:13:20,880 Speaker 1: So I just sort of backing out a little bit. 231 00:13:21,280 --> 00:13:23,520 Speaker 1: I just want to get a sense of how gambling 232 00:13:23,559 --> 00:13:26,439 Speaker 1: revenues have been. I mean, it's been a pretty good economy. 233 00:13:26,480 --> 00:13:28,640 Speaker 1: Does that usually mean that people cample more? Do they 234 00:13:28,679 --> 00:13:31,640 Speaker 1: gamble less? Because they actually have jobs that can pay 235 00:13:31,679 --> 00:13:34,679 Speaker 1: their bills? The good economy helps. But at the same time, 236 00:13:34,720 --> 00:13:36,640 Speaker 1: we've had a lot more competition. So if I were 237 00:13:36,640 --> 00:13:42,120 Speaker 1: to characterize US gaming outside of Vegas, it's a slow growth, 238 00:13:42,160 --> 00:13:45,840 Speaker 1: mature industry, maybe anywhere from you know, minus two percent 239 00:13:45,920 --> 00:13:49,920 Speaker 1: to plus two percent same store growth. It's growing modestly. 240 00:13:50,040 --> 00:13:53,440 Speaker 1: It's a relatively mature industry. There are pockets of opportunity, 241 00:13:53,679 --> 00:13:57,800 Speaker 1: but compared to thirty years ago, Uh, the domestic gaming 242 00:13:57,840 --> 00:14:01,520 Speaker 1: scene outside Las Vegas in many parts of the country 243 00:14:01,559 --> 00:14:03,920 Speaker 1: is fairly well built out. Again with these pockets of 244 00:14:03,960 --> 00:14:07,319 Speaker 1: opportunity like Western New England, for example, online gaming and 245 00:14:07,440 --> 00:14:11,200 Speaker 1: he thought gaming is right now on an intrastate basis 246 00:14:11,240 --> 00:14:15,000 Speaker 1: limited uh to Nevada and New Jersey. There's talk about 247 00:14:15,000 --> 00:14:18,920 Speaker 1: placing and elsewhere. Uh, there's uh there's an online gaming 248 00:14:19,000 --> 00:14:21,880 Speaker 1: element to what's happening in Pennsylvania, which had this big, 249 00:14:22,240 --> 00:14:25,880 Speaker 1: massive expansion of gaming. So online gaming may continue to 250 00:14:25,960 --> 00:14:29,920 Speaker 1: develop state by state intrastate, but for now on a 251 00:14:30,000 --> 00:14:33,480 Speaker 1: federal interstate basis that's a bit more problematic. Brian Eger, 252 00:14:33,680 --> 00:14:35,880 Speaker 1: thank you so much for joining us. Brian Egger, senior 253 00:14:35,920 --> 00:14:40,120 Speaker 1: gaming and lodging analysts for Bloomberg Intelligence. Talking about the 254 00:14:40,160 --> 00:14:59,320 Speaker 1: gaming industry, there have been many stories about the various 255 00:14:59,480 --> 00:15:03,640 Speaker 1: method that Uber used that really uh went up to 256 00:15:03,720 --> 00:15:06,960 Speaker 1: the edges of the law. And there's a phenomenal article 257 00:15:06,960 --> 00:15:10,800 Speaker 1: on the Bloomberg today. Uber used secret tool for keeping 258 00:15:10,800 --> 00:15:14,280 Speaker 1: the authorities in the dark. That just builds on some 259 00:15:14,360 --> 00:15:16,760 Speaker 1: of what we have heard in the past. Joining us 260 00:15:16,800 --> 00:15:19,440 Speaker 1: now is one of the authors of that article, Olivia's Aleski. 261 00:15:19,720 --> 00:15:23,560 Speaker 1: She's a technology reporter for Bloomberg. Olivia, what is this 262 00:15:23,680 --> 00:15:27,120 Speaker 1: secret tool and how is Uber using it? Well, let 263 00:15:27,120 --> 00:15:30,400 Speaker 1: me give you some contacts. First, U in Uber really 264 00:15:30,440 --> 00:15:33,280 Speaker 1: started to get a lot of attention from the authorities. Uh. 265 00:15:33,360 --> 00:15:36,480 Speaker 1: These authorities, especially in the you believe that the company 266 00:15:36,600 --> 00:15:39,720 Speaker 1: was violating tax laws and labor laws and was really 267 00:15:39,880 --> 00:15:42,760 Speaker 1: UM sort of playing too hard and too fast in 268 00:15:42,800 --> 00:15:47,600 Speaker 1: their jurisdictions. So these authorities began raiding Uber's offices looking 269 00:15:47,640 --> 00:15:51,120 Speaker 1: for evidence. Uber didn't like this, and UM created a 270 00:15:51,160 --> 00:15:55,720 Speaker 1: tool that it called ripley Um to essentially shut down 271 00:15:55,720 --> 00:15:57,920 Speaker 1: its offices whenever there was a police rate and shut 272 00:15:57,920 --> 00:16:02,840 Speaker 1: down all the computers so that police could not collect evidence. Now, 273 00:16:02,960 --> 00:16:06,520 Speaker 1: this is a tool that I guess ripley is you 274 00:16:06,640 --> 00:16:11,840 Speaker 1: mentioned a riff on the character that's Sigourney an alien 275 00:16:12,520 --> 00:16:14,680 Speaker 1: In true Uber form that you know, they would come 276 00:16:14,720 --> 00:16:18,120 Speaker 1: up with these creative names for their various software programs. 277 00:16:18,160 --> 00:16:21,200 Speaker 1: We had gray Ball, and in Hell or god View, 278 00:16:21,240 --> 00:16:24,480 Speaker 1: and justin in Uber fashion, this one was called Ripley 279 00:16:24,520 --> 00:16:27,800 Speaker 1: after the main character an alien Um because she had 280 00:16:27,840 --> 00:16:30,600 Speaker 1: a line in the movie where she says, uh, let's 281 00:16:30,680 --> 00:16:32,920 Speaker 1: nuke the site from orbit. It's the only way to 282 00:16:32,960 --> 00:16:34,600 Speaker 1: be sure, meaning it's the only way to be sure 283 00:16:34,640 --> 00:16:37,880 Speaker 1: that the aliens won't come back and get us. Okay, 284 00:16:37,920 --> 00:16:41,320 Speaker 1: So run with that and maybe use the example of 285 00:16:41,360 --> 00:16:46,760 Speaker 1: what authorities in Montreal we're looking for and how Ripley works. 286 00:16:46,960 --> 00:16:50,480 Speaker 1: It's a remote control system. Yeah, let me walk you 287 00:16:50,520 --> 00:16:56,600 Speaker 1: through it. So essentially, in authorities from the Canadian Tax 288 00:16:56,600 --> 00:17:01,520 Speaker 1: Bureau showed up at Uber's headquarters in Montreal um seeking 289 00:17:02,200 --> 00:17:08,000 Speaker 1: tax documents, and essentially a manager in that office paged 290 00:17:08,560 --> 00:17:13,200 Speaker 1: system this Ripley system, and within a few minutes UM 291 00:17:13,320 --> 00:17:17,800 Speaker 1: the headquarters in San Francisco shut down all the computers 292 00:17:17,840 --> 00:17:23,000 Speaker 1: and some phones in Montreal and made these Canadian authorities 293 00:17:23,080 --> 00:17:26,000 Speaker 1: very frustrated because they went to open you know, they 294 00:17:26,040 --> 00:17:29,800 Speaker 1: went to uh talk to employees and ask them for records, 295 00:17:30,040 --> 00:17:32,439 Speaker 1: and those employees couldn't even open their computers because they 296 00:17:32,440 --> 00:17:36,800 Speaker 1: had been locked out. Is this legal? So that's a 297 00:17:36,920 --> 00:17:39,720 Speaker 1: very good question. We have had trouble getting an answer 298 00:17:39,800 --> 00:17:45,280 Speaker 1: on that because there's a real patchwork of different laws abroad, 299 00:17:45,480 --> 00:17:48,240 Speaker 1: and some people have said it's it's an obstruction of justice. 300 00:17:48,280 --> 00:17:51,119 Speaker 1: Some people have said it is legal as long as 301 00:17:51,160 --> 00:17:52,960 Speaker 1: it's done in the right way, and you have to 302 00:17:53,000 --> 00:17:55,439 Speaker 1: have uh, you know, there are all sorts of various 303 00:17:55,440 --> 00:17:58,960 Speaker 1: complicated conversations, but you know, that'll be for somebody else 304 00:17:58,960 --> 00:18:02,199 Speaker 1: to determine. What we do understand is that employees at 305 00:18:02,280 --> 00:18:05,960 Speaker 1: Uber felt very uncomfortable with it, and um that there 306 00:18:06,000 --> 00:18:08,960 Speaker 1: were a lot of discussions about, you know, how to 307 00:18:09,080 --> 00:18:11,280 Speaker 1: keep this quiet, how to keep it secret. So they 308 00:18:11,280 --> 00:18:16,400 Speaker 1: were obviously concerned about something olivia physically. How did they 309 00:18:16,840 --> 00:18:21,879 Speaker 1: engage this tool? In other words, how did they find 310 00:18:21,920 --> 00:18:23,679 Speaker 1: out that there was going to be some kind of 311 00:18:23,720 --> 00:18:29,800 Speaker 1: investigation and automatically shut down all of the computers? Well, 312 00:18:30,119 --> 00:18:32,040 Speaker 1: I think, you know, I don't want to go into 313 00:18:32,119 --> 00:18:34,879 Speaker 1: whether or not they knew the police were coming or 314 00:18:34,880 --> 00:18:37,320 Speaker 1: the authorities were coming, because that can be seen as 315 00:18:37,359 --> 00:18:40,199 Speaker 1: a violation of Foreign corpt Practices Act. And we just 316 00:18:40,240 --> 00:18:43,000 Speaker 1: don't know if they did that. UM. We do understand 317 00:18:43,040 --> 00:18:46,800 Speaker 1: that they were expecting raids in in their offices all 318 00:18:46,800 --> 00:18:50,040 Speaker 1: over the world because they knew they were a target 319 00:18:50,359 --> 00:18:54,000 Speaker 1: because they were disruptive. UM. So they designed the system 320 00:18:54,040 --> 00:18:57,800 Speaker 1: to work in any office abroad. UM. And essentially the 321 00:18:57,880 --> 00:19:00,400 Speaker 1: employee in the office, the manager or some boy who 322 00:19:00,400 --> 00:19:02,560 Speaker 1: had been trained to use it, would page a number 323 00:19:02,600 --> 00:19:06,320 Speaker 1: on their phone UM. It would route through this program Twilio, 324 00:19:06,400 --> 00:19:10,320 Speaker 1: and then it would go to headquarters UM where they 325 00:19:10,320 --> 00:19:13,680 Speaker 1: it would initiate a program to just log everybody off 326 00:19:13,720 --> 00:19:17,320 Speaker 1: the computers or UM. Eventually they developed a program where 327 00:19:17,320 --> 00:19:19,240 Speaker 1: they could keep the computers on, but they could hide 328 00:19:19,359 --> 00:19:24,520 Speaker 1: information UM that perhaps the authorities were collecting. Olivia, what 329 00:19:24,680 --> 00:19:27,560 Speaker 1: have you heard from either Joe Sullivan or Sally you 330 00:19:27,800 --> 00:19:31,960 Speaker 1: These were both the heads of the departments, the security 331 00:19:31,960 --> 00:19:35,920 Speaker 1: and legal departments, respectively at UBER when this has taken place. Yeah, 332 00:19:36,000 --> 00:19:38,080 Speaker 1: we haven't heard back from them. UM. Both of them 333 00:19:38,160 --> 00:19:41,680 Speaker 1: did not respond to our requests for comment. UM Uber's 334 00:19:41,920 --> 00:19:45,760 Speaker 1: UM communications department has been very active in managing this 335 00:19:45,880 --> 00:19:47,800 Speaker 1: story with us. We've been on the phone with them 336 00:19:47,920 --> 00:19:51,119 Speaker 1: many times the past week, and I'm really trying to 337 00:19:51,200 --> 00:19:55,960 Speaker 1: understand the program. And they feel very much that that 338 00:19:56,160 --> 00:20:01,280 Speaker 1: this was in their rights and that they UM you know, essentially, 339 00:20:01,280 --> 00:20:03,119 Speaker 1: they feel that they were doing what was in the 340 00:20:03,119 --> 00:20:06,399 Speaker 1: best interests of their customers, which was to protect data, 341 00:20:06,440 --> 00:20:10,080 Speaker 1: and that these authorities in other countries were on fishing expeditions. 342 00:20:10,119 --> 00:20:12,600 Speaker 1: They feel that they were the warrants that they were 343 00:20:12,600 --> 00:20:15,400 Speaker 1: collecting information for were too broad and so that they 344 00:20:15,400 --> 00:20:18,920 Speaker 1: had the right to um request, you know, to lock 345 00:20:19,000 --> 00:20:20,800 Speaker 1: everything down and say come back to us with something 346 00:20:20,800 --> 00:20:23,560 Speaker 1: that's more specific. Olivia, real quick, do you know of 347 00:20:23,760 --> 00:20:27,360 Speaker 1: any other company out there that has done something similar 348 00:20:27,400 --> 00:20:30,480 Speaker 1: to this? So it's interesting. That was another point that 349 00:20:30,600 --> 00:20:32,879 Speaker 1: Uber brought up. They said, everybody does this. You know 350 00:20:32,960 --> 00:20:36,680 Speaker 1: that this is common, that everybody has a lockdown button, 351 00:20:36,720 --> 00:20:38,760 Speaker 1: and you know, you should even look at Bloomberg they 352 00:20:38,800 --> 00:20:41,280 Speaker 1: may have this. What we found is lots of companies 353 00:20:41,320 --> 00:20:44,760 Speaker 1: have a way to shut down computers for an unexpected 354 00:20:44,840 --> 00:20:48,120 Speaker 1: visitor and you know, maybe there's um, a competitor breaks in, 355 00:20:48,320 --> 00:20:52,200 Speaker 1: or there's a situation where um, you know, there's even 356 00:20:52,320 --> 00:20:54,680 Speaker 1: a terrorist attack and they need to keep their information 357 00:20:54,720 --> 00:20:57,159 Speaker 1: all locked up. But we have not found a situation 358 00:20:57,160 --> 00:20:59,840 Speaker 1: where it was used so frequently, um you know, dozens 359 00:20:59,880 --> 00:21:04,240 Speaker 1: of times, and where it um was pervasive in offices 360 00:21:04,280 --> 00:21:06,960 Speaker 1: around the world. We've got to leave it there. Olivia Zeleski, 361 00:21:07,119 --> 00:21:27,040 Speaker 1: technology reporter for Bloomberg. Thanks very much. Trade talks they 362 00:21:27,040 --> 00:21:30,399 Speaker 1: are heating up again this year, and yesterday there is 363 00:21:30,480 --> 00:21:33,240 Speaker 1: news that Canada believes that there is a much greater 364 00:21:33,359 --> 00:21:37,120 Speaker 1: likelihood that the US will exit the NAFTA, the North 365 00:21:37,160 --> 00:21:41,280 Speaker 1: American Free Trade Agreement in the upcoming months. Here to 366 00:21:41,320 --> 00:21:45,000 Speaker 1: talk about that is Caitlin and Webber, government analysts covering 367 00:21:45,240 --> 00:21:48,119 Speaker 1: US trade policy for Bloomberg Intelligence. Since she comes to 368 00:21:48,200 --> 00:21:52,320 Speaker 1: us from our Bloomberg studio in Washington, d C. Caitlin, 369 00:21:52,880 --> 00:21:55,960 Speaker 1: can you just lay out what we found out yesterday 370 00:21:56,320 --> 00:21:59,320 Speaker 1: and if there really is a much greater likelihood at 371 00:21:59,320 --> 00:22:02,720 Speaker 1: this point that the US will withdraw from NAFTA. Yeah, So, 372 00:22:02,880 --> 00:22:06,920 Speaker 1: yesterday news broke that Canada, um, you know, really actually 373 00:22:07,359 --> 00:22:10,280 Speaker 1: came out and and sort of is reflecting a lot 374 00:22:10,320 --> 00:22:13,600 Speaker 1: of the pessimism we're hearing from a lot of the 375 00:22:13,640 --> 00:22:17,480 Speaker 1: company's industries that rely on NAFTA. There's been a lot 376 00:22:17,520 --> 00:22:20,240 Speaker 1: of sort of doom and gloom around the NAPTA talks 377 00:22:20,320 --> 00:22:23,440 Speaker 1: so far. Um, we're on the sixth round and there's 378 00:22:23,480 --> 00:22:25,840 Speaker 1: been no chapters closed so far, and typically you see 379 00:22:25,840 --> 00:22:28,240 Speaker 1: that after a couple of rounds. Um, So I think 380 00:22:28,400 --> 00:22:32,320 Speaker 1: Canada coming out yesterday and saying, um, you know, even 381 00:22:32,359 --> 00:22:33,920 Speaker 1: though they sort of walked that back a bit later, 382 00:22:34,320 --> 00:22:38,119 Speaker 1: that there's an increasing likelihood the Trump administration may attempt 383 00:22:38,160 --> 00:22:41,000 Speaker 1: to withdraw from the deal. UM. You know, I think 384 00:22:41,080 --> 00:22:46,840 Speaker 1: that is a growing sort of recognition of increasing reality. Caitlyn, 385 00:22:46,920 --> 00:22:48,760 Speaker 1: I keep thinking that we're gonna end up sending you 386 00:22:48,800 --> 00:22:52,879 Speaker 1: to Detroit to cover this story because NAFTA and the 387 00:22:52,920 --> 00:22:56,080 Speaker 1: automobile industry they are linked. And I'm wondering if you 388 00:22:56,080 --> 00:22:57,960 Speaker 1: could tell us what are some of the issues that 389 00:22:58,080 --> 00:23:01,560 Speaker 1: contentious demands that the US has when it comes to 390 00:23:01,640 --> 00:23:05,520 Speaker 1: automotive content. Yeah, so the Trump administration has really said 391 00:23:05,560 --> 00:23:08,800 Speaker 1: that the auto the auto industry is why they came 392 00:23:08,840 --> 00:23:11,720 Speaker 1: to the table. Really, that's their number one issue that 393 00:23:11,760 --> 00:23:13,760 Speaker 1: they want to see a lot of change on and 394 00:23:13,800 --> 00:23:16,879 Speaker 1: that really centers around content rules. So currently too, in 395 00:23:16,960 --> 00:23:19,560 Speaker 1: order to qualify for duty free status under the deal, 396 00:23:20,119 --> 00:23:22,520 Speaker 1: UM a vehicle has to be a little over half 397 00:23:22,720 --> 00:23:26,719 Speaker 1: UM NAFTA UM content in order to qualify for getting 398 00:23:26,760 --> 00:23:31,199 Speaker 1: tariffs reduced. Now, the Trump administration wants to significantly increase that, 399 00:23:32,400 --> 00:23:37,000 Speaker 1: including solely US value. Canada and Mexico for their parts, 400 00:23:37,040 --> 00:23:39,760 Speaker 1: say that proposal is a non starter and to this 401 00:23:39,840 --> 00:23:45,280 Speaker 1: point haven't even tabled um sort of counter counters to 402 00:23:45,359 --> 00:23:50,400 Speaker 1: that yet. So yeah, the content rule is really, um 403 00:23:50,440 --> 00:23:53,440 Speaker 1: the biggest issue there. The Trump administration wants thanks that 404 00:23:53,520 --> 00:23:56,440 Speaker 1: by making that more stringent, they'll be able to cut 405 00:23:56,480 --> 00:23:59,600 Speaker 1: down on what they see as cheaper parts coming in 406 00:23:59,640 --> 00:24:03,280 Speaker 1: from Asia from other places, as um, getting into cars 407 00:24:03,280 --> 00:24:06,320 Speaker 1: and qualifying for napt TO benefits that really shouldn't Caitlin. 408 00:24:06,520 --> 00:24:10,680 Speaker 1: The response from the stock market was pretty decisive. GM shares, 409 00:24:10,760 --> 00:24:14,000 Speaker 1: for example, declining nearly two point four percent on the 410 00:24:14,000 --> 00:24:17,919 Speaker 1: news and escalating to clients with Canada's sort of reflection 411 00:24:18,080 --> 00:24:20,480 Speaker 1: of the pessimism that you're hearing from a lot of companies. 412 00:24:20,840 --> 00:24:23,600 Speaker 1: I'm just wondering, do you think that there will be 413 00:24:23,640 --> 00:24:28,000 Speaker 1: any recognition from people in the Trump administration or whoever 414 00:24:28,040 --> 00:24:31,240 Speaker 1: is negotiating the NAFTA arrangement that this could potentially be 415 00:24:31,320 --> 00:24:35,120 Speaker 1: detrimental to the companies should the naftogram, should the US 416 00:24:35,160 --> 00:24:38,600 Speaker 1: pull out. Yeah. Absolutely, I think that they're very conscious 417 00:24:38,600 --> 00:24:42,840 Speaker 1: of that. I think that that you know, that in particular, 418 00:24:42,880 --> 00:24:45,240 Speaker 1: will be the number one thing that if the Trump 419 00:24:45,280 --> 00:24:49,760 Speaker 1: administration does, um, you know, agree to continue negotiating even 420 00:24:49,800 --> 00:24:52,919 Speaker 1: after this sixth round, it's because of of a stepped 421 00:24:52,960 --> 00:24:55,840 Speaker 1: up lobbying effort from the US Chamber of Commerce from companies. 422 00:24:56,560 --> 00:24:59,639 Speaker 1: Donald Trump is obviously, um you know, very interested in 423 00:25:00,119 --> 00:25:03,119 Speaker 1: the stock market and um, you know, taking credit for 424 00:25:03,240 --> 00:25:07,159 Speaker 1: UM for gains there and so anything you know, tying 425 00:25:07,720 --> 00:25:11,639 Speaker 1: potential UM losses there to to naft uncertainty I think 426 00:25:11,680 --> 00:25:15,560 Speaker 1: will be very very powerful and influential. Indeed, well, Caitlin, 427 00:25:15,720 --> 00:25:19,880 Speaker 1: we know that the manufacture of light vehicles in Canada 428 00:25:19,960 --> 00:25:24,399 Speaker 1: and in Mexico is linked to their UH, their sale 429 00:25:24,480 --> 00:25:26,560 Speaker 1: in the United States, but also it's a it's a 430 00:25:26,600 --> 00:25:32,280 Speaker 1: global market. UM. Is there any understanding that if indeed 431 00:25:32,440 --> 00:25:36,639 Speaker 1: they force the automakers to produce cars in the United States, 432 00:25:36,960 --> 00:25:41,560 Speaker 1: that's going to hurt those companies in their global ambitions 433 00:25:41,560 --> 00:25:45,359 Speaker 1: as well. Yeah, absolutely, because you know, if the US 434 00:25:45,440 --> 00:25:48,440 Speaker 1: does exit from NAFTA, not only would US tariffs go up, 435 00:25:48,440 --> 00:25:50,960 Speaker 1: but but tariffs in Canada and Mexico would would as well, 436 00:25:51,000 --> 00:25:53,000 Speaker 1: and the tariffs there are much higher, and those are 437 00:25:53,080 --> 00:25:56,840 Speaker 1: very important markets for US automakers, UM. You know, and 438 00:25:56,880 --> 00:26:00,560 Speaker 1: there's also increasingly talk about US automakers when they're coming 439 00:26:00,640 --> 00:26:02,359 Speaker 1: up with their contingency plans for what to do if 440 00:26:02,440 --> 00:26:06,439 Speaker 1: NAFTA goes away, thinking about UM manufacturing more in Asia. 441 00:26:06,560 --> 00:26:08,840 Speaker 1: So you know, it's it's very uncertain whether or not 442 00:26:08,880 --> 00:26:13,119 Speaker 1: the Trump administration, may you know, achieve their goal of 443 00:26:13,160 --> 00:26:16,640 Speaker 1: increasing US manufacturing if they do sort of uh tinker 444 00:26:16,720 --> 00:26:20,000 Speaker 1: with this deal so much that um it shifts these 445 00:26:20,040 --> 00:26:22,680 Speaker 1: supply chains that have really become integrated across the North 446 00:26:22,680 --> 00:26:25,359 Speaker 1: American economy. Caitlin, can you give us a sense of 447 00:26:25,400 --> 00:26:28,639 Speaker 1: which industries would be most affected. So we've talked a 448 00:26:28,680 --> 00:26:31,800 Speaker 1: lot about automakers, and you know, they're probably number one. UM. 449 00:26:31,960 --> 00:26:34,920 Speaker 1: Number two would be the US energy sector. While there 450 00:26:34,960 --> 00:26:37,640 Speaker 1: there isn't a concern there as much about terrorists being 451 00:26:37,640 --> 00:26:40,640 Speaker 1: reimposed because tariffs are are normally um, you know, much 452 00:26:40,680 --> 00:26:43,680 Speaker 1: lower on energy products. The concern there is that Mexico 453 00:26:43,720 --> 00:26:46,520 Speaker 1: in particular has become a very important market for US 454 00:26:46,600 --> 00:26:50,560 Speaker 1: natural gas and oil exporters, and so if the US 455 00:26:51,080 --> 00:26:53,879 Speaker 1: exited from NAFTA, we would really likely see a contraction 456 00:26:53,880 --> 00:26:56,600 Speaker 1: in the Mexico economy. So always the list demand there 457 00:26:56,640 --> 00:27:00,560 Speaker 1: for electricity, for oil. Um. There's also a number of um, 458 00:27:00,640 --> 00:27:03,720 Speaker 1: pretty thorny kind of red tape that would that NAPTA 459 00:27:03,760 --> 00:27:06,240 Speaker 1: does away with now in terms of gas exports and 460 00:27:06,240 --> 00:27:09,119 Speaker 1: other things that um you know, if the deal went away, 461 00:27:09,160 --> 00:27:11,600 Speaker 1: that it would just make it much much more difficult 462 00:27:11,640 --> 00:27:14,520 Speaker 1: for that industry to to do um you know, to 463 00:27:14,560 --> 00:27:17,159 Speaker 1: do business to do their do their exports um. And 464 00:27:17,160 --> 00:27:19,879 Speaker 1: then I think the third I would mention retailers you 465 00:27:19,880 --> 00:27:24,000 Speaker 1: know obviously um rely heavily on the duty free benefits 466 00:27:24,040 --> 00:27:27,080 Speaker 1: under NAPTA, which are fully UM in place this time, 467 00:27:27,119 --> 00:27:31,520 Speaker 1: and so um you know, retailers and also transportation companies UM, 468 00:27:31,600 --> 00:27:34,440 Speaker 1: rail companies, UM, you know, trucking companies that do a 469 00:27:34,480 --> 00:27:36,760 Speaker 1: lot of business bringing those consumer products back and forth. 470 00:27:37,440 --> 00:27:39,159 Speaker 1: I want to thank you very much for being with us. 471 00:27:39,240 --> 00:27:42,880 Speaker 1: Caitlin Weber is a government analyst for US trade policy 472 00:27:43,000 --> 00:27:48,040 Speaker 1: for Bloomberg Intelligence, speaking about the North American Free Trade 473 00:27:48,359 --> 00:27:53,440 Speaker 1: Agreement to Canada, then preparing new talks related to naphta's provisions, focusing, 474 00:27:53,480 --> 00:27:58,240 Speaker 1: as Catalin said, on perhaps the automobile sector. Uh. In fact, 475 00:27:58,240 --> 00:28:01,720 Speaker 1: the Canadian Foreign Minister, Christie you Freeland was speaking to 476 00:28:01,760 --> 00:28:06,080 Speaker 1: reporters outside a cabinet meeting today saying that the country 477 00:28:06,240 --> 00:28:11,119 Speaker 1: Canada would bring new ideas for unconventional US proposals, but 478 00:28:11,240 --> 00:28:17,639 Speaker 1: she didn't actually give any details. Thanks for listening to 479 00:28:17,680 --> 00:28:20,560 Speaker 1: the Bloomberg P and L podcast. You can subscribe and 480 00:28:20,600 --> 00:28:24,560 Speaker 1: listen to interviews at Apple Podcasts, SoundCloud, or whatever podcast 481 00:28:24,640 --> 00:28:28,120 Speaker 1: platform you prefer. I'm Pim Fox I'm on Twitter at 482 00:28:28,280 --> 00:28:31,640 Speaker 1: pim Fox. I'm on Twitter at Lisa Abramo. It's one 483 00:28:31,880 --> 00:28:34,600 Speaker 1: before the podcast. You can always catch us worldwide on 484 00:28:34,640 --> 00:28:35,480 Speaker 1: Bloomberg Radio