1 00:00:03,080 --> 00:00:11,720 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. On Tuesday, November fifth, 2 00:00:11,840 --> 00:00:15,560 Speaker 1: the day of the US election, Trump Media and Technology Group, 3 00:00:15,840 --> 00:00:19,080 Speaker 1: the parent company of President elect Donald Trump's social media 4 00:00:19,120 --> 00:00:24,040 Speaker 1: platform Truth Social, reported earnings for the third quarter between 5 00:00:24,079 --> 00:00:28,319 Speaker 1: July one and September thirtieth. Its total revenue was just 6 00:00:28,600 --> 00:00:34,080 Speaker 1: one million dollars, and it lost nearly twenty times that amount. 7 00:00:34,320 --> 00:00:37,839 Speaker 2: Only bringing in that much revenue during a quarter in 8 00:00:37,840 --> 00:00:40,960 Speaker 2: the middle of election season at a social media network 9 00:00:40,960 --> 00:00:42,479 Speaker 2: that you would think would be able to bring in 10 00:00:42,520 --> 00:00:46,360 Speaker 2: revenue from political advertising is not good. 11 00:00:46,800 --> 00:00:50,239 Speaker 1: Tom Maloney covers wealth at Bloomberg, and he says that 12 00:00:50,560 --> 00:00:54,240 Speaker 1: given the Trump Media and Technology Group's performance, what happened 13 00:00:54,280 --> 00:00:57,440 Speaker 1: on the day after the election was pretty remarkable. 14 00:00:57,600 --> 00:01:01,440 Speaker 2: It was worth more than three billion before he was elected. 15 00:01:01,960 --> 00:01:04,360 Speaker 2: On the night of the election, when it became clear 16 00:01:04,360 --> 00:01:06,160 Speaker 2: that Trump was going to win, the stock was up 17 00:01:06,240 --> 00:01:09,280 Speaker 2: more than sixty percent, and that added about two billion 18 00:01:09,319 --> 00:01:10,399 Speaker 2: two He's net worth. 19 00:01:10,920 --> 00:01:13,920 Speaker 1: Since then, the company's stock price did another one to 20 00:01:14,000 --> 00:01:17,080 Speaker 1: eighty and fell back to about where it was before 21 00:01:17,120 --> 00:01:20,800 Speaker 1: the election. It was a whiplash moment that highlighted a 22 00:01:20,840 --> 00:01:24,119 Speaker 1: new reality. As the US prepares for Trump's second term, 23 00:01:24,120 --> 00:01:27,600 Speaker 1: in the White House. The President elects many businesses now 24 00:01:27,640 --> 00:01:30,800 Speaker 1: stand to benefit from his return to power, but just 25 00:01:30,920 --> 00:01:39,479 Speaker 1: how much. I'm David Gura and this is the big 26 00:01:39,520 --> 00:01:42,000 Speaker 1: take from Bloomberg News Today. On the show, we go 27 00:01:42,160 --> 00:01:45,800 Speaker 1: inside the businesses of Trump, from his meme stop to 28 00:01:45,840 --> 00:01:49,400 Speaker 1: crypto to real estate. How the president elect could cash 29 00:01:49,440 --> 00:01:57,240 Speaker 1: in on his second term in office. Bloomberg's Tom Maloney 30 00:01:57,320 --> 00:02:01,240 Speaker 1: spends a lot of time figuring out how rich billionaires 31 00:02:01,320 --> 00:02:01,960 Speaker 1: actually are. 32 00:02:02,400 --> 00:02:05,520 Speaker 2: Sometimes it's relatively easy. If somebody you know is a 33 00:02:05,600 --> 00:02:08,480 Speaker 2: founder of a publicly traded company, we know how many 34 00:02:08,480 --> 00:02:10,360 Speaker 2: shares they own, we know what they do with them, 35 00:02:10,800 --> 00:02:13,520 Speaker 2: we know the dividends they collect. Other times, they might 36 00:02:13,560 --> 00:02:16,040 Speaker 2: have a private company and they don't want to share anything, 37 00:02:16,040 --> 00:02:18,760 Speaker 2: and it's very tricky. So we look at, you know, 38 00:02:18,800 --> 00:02:20,679 Speaker 2: how many widgets they sell a year, and try to 39 00:02:20,720 --> 00:02:22,720 Speaker 2: figure out what their revenue might be. We talk to 40 00:02:22,720 --> 00:02:25,560 Speaker 2: people in the industry, we talk to people around them, 41 00:02:25,680 --> 00:02:28,040 Speaker 2: and we try to get data that way and figure 42 00:02:28,040 --> 00:02:29,400 Speaker 2: out what that company might be worth. 43 00:02:29,800 --> 00:02:33,200 Speaker 1: And Tom says, something that sets Donald Trump apart from 44 00:02:33,280 --> 00:02:36,600 Speaker 1: the other billionaires he covers is how much of Trump's 45 00:02:36,600 --> 00:02:39,400 Speaker 1: wealth is tied to his own image. 46 00:02:39,040 --> 00:02:40,720 Speaker 2: That's been the case for a long time. You know. 47 00:02:40,760 --> 00:02:43,919 Speaker 2: Trump has always been somebody who's been very I guess 48 00:02:43,960 --> 00:02:46,760 Speaker 2: cognizant of his personal brand and talked about the importance 49 00:02:46,760 --> 00:02:49,320 Speaker 2: of his personal brand and how it related to his businesses. 50 00:02:49,960 --> 00:02:52,360 Speaker 2: You know, you had things like the casinos, you had 51 00:02:52,400 --> 00:02:55,280 Speaker 2: an airline, stuff like that, where he was trying to 52 00:02:55,639 --> 00:02:58,480 Speaker 2: leverage the value of his name to build out these businesses, 53 00:02:59,080 --> 00:03:00,960 Speaker 2: even going back to the night eighties and a lot 54 00:03:00,960 --> 00:03:04,320 Speaker 2: of the time that didn't turn out very successfully. And 55 00:03:04,360 --> 00:03:07,320 Speaker 2: he did that again after he's kind of renewed popularity 56 00:03:07,360 --> 00:03:09,920 Speaker 2: with The Apprentice, with things like Trump Fodguer and Trump's 57 00:03:09,919 --> 00:03:11,680 Speaker 2: Stakes and Trump University. 58 00:03:11,880 --> 00:03:14,880 Speaker 1: The Trump Media and Technology Group is an extension of 59 00:03:14,919 --> 00:03:18,680 Speaker 1: that strategy. The stock he owns of that company represents 60 00:03:18,800 --> 00:03:22,200 Speaker 1: the biggest asset in his portfolio. He owns just over 61 00:03:22,280 --> 00:03:25,760 Speaker 1: half its shares, and despite the company's losses and it 62 00:03:25,880 --> 00:03:29,000 Speaker 1: having revenue of only a million dollars in the last quarter, 63 00:03:29,440 --> 00:03:32,840 Speaker 1: it has a market cap of about six billion dollars 64 00:03:33,600 --> 00:03:36,560 Speaker 1: because of how much the company's stock fluctuates. Though Tom 65 00:03:36,600 --> 00:03:40,240 Speaker 1: says it's hard to say how much wealthier it'll make Trump. 66 00:03:40,440 --> 00:03:43,360 Speaker 2: It's not really clear that even with Trump in the 67 00:03:43,360 --> 00:03:46,200 Speaker 2: White House, it's going to be any more successful. So 68 00:03:47,040 --> 00:03:48,480 Speaker 2: it's kind of remains to be seen. 69 00:03:48,760 --> 00:03:51,360 Speaker 1: This is paper wealth. I mean, can he sell the stock? 70 00:03:51,480 --> 00:03:54,080 Speaker 1: Is it something he's talked about transferring that that stock 71 00:03:54,120 --> 00:03:55,000 Speaker 1: into cash. 72 00:03:55,080 --> 00:03:56,640 Speaker 2: He can sell it at this point, there was a 73 00:03:56,640 --> 00:03:59,960 Speaker 2: long lock up period that's expired, so he can sell. 74 00:04:00,240 --> 00:04:03,760 Speaker 2: He said he has no intention of doing that. And obviously, 75 00:04:04,040 --> 00:04:06,120 Speaker 2: if you own that much of the stock and you 76 00:04:06,160 --> 00:04:09,640 Speaker 2: start to sell, that's going to spook people and the 77 00:04:09,720 --> 00:04:12,840 Speaker 2: price would presumably go down. So could he sell all 78 00:04:12,920 --> 00:04:17,320 Speaker 2: of that overnight? No, probably not, but he could sell it. 79 00:04:18,240 --> 00:04:20,560 Speaker 2: But you're right, it is kind of paperwork like it 80 00:04:20,960 --> 00:04:23,480 Speaker 2: changes from day to day. It's an extremely volatile stock. 81 00:04:23,600 --> 00:04:26,880 Speaker 1: So let's move from the media property to crypto, which 82 00:04:26,880 --> 00:04:29,360 Speaker 1: is another piece of Donald Trump's portfolio, something he's embraced 83 00:04:29,720 --> 00:04:33,200 Speaker 1: after criticizing his promised to help the crypto industry. And 84 00:04:33,200 --> 00:04:35,920 Speaker 1: Trump has a crypto project of his own. Where does 85 00:04:35,960 --> 00:04:38,520 Speaker 1: that venture stand and how could Trump see his wealth 86 00:04:38,520 --> 00:04:40,800 Speaker 1: increase by the actions he's expected to take when it 87 00:04:40,800 --> 00:04:41,479 Speaker 1: comes to crypto. 88 00:04:41,720 --> 00:04:44,000 Speaker 2: Sure, so there are kind of two strands to the 89 00:04:44,040 --> 00:04:47,920 Speaker 2: crypto thing for Trump. There are the NFTs, which are 90 00:04:47,960 --> 00:04:50,320 Speaker 2: these kind of digital trading cards that he's been selling. 91 00:04:50,560 --> 00:04:53,839 Speaker 1: These are kind of like comic book style digital images 92 00:04:53,880 --> 00:04:54,799 Speaker 1: of the president. 93 00:04:54,839 --> 00:04:57,240 Speaker 2: Am I right, Yeah, that's right. It's like Trump in 94 00:04:57,320 --> 00:05:01,240 Speaker 2: various costumes, different poses. You know, he might have laser eyes, 95 00:05:01,360 --> 00:05:04,880 Speaker 2: or he might be wearing you know, camo or carrying 96 00:05:04,880 --> 00:05:09,280 Speaker 2: a gun, just various kind of almost comic book trading 97 00:05:09,360 --> 00:05:11,760 Speaker 2: card type things that people out thereby. 98 00:05:12,160 --> 00:05:15,240 Speaker 1: In his most recent ethics disclosure, Trump says he's made 99 00:05:15,279 --> 00:05:19,119 Speaker 1: more than seven million dollars selling his NFTs, and Tom 100 00:05:19,160 --> 00:05:22,640 Speaker 1: says Trump's win makes them even more valuable. 101 00:05:22,720 --> 00:05:25,120 Speaker 2: If he'd lost, you'd have to think that those NFTs 102 00:05:25,160 --> 00:05:27,720 Speaker 2: were not going to be worth anything and he was 103 00:05:27,760 --> 00:05:30,040 Speaker 2: going to have more difficulties selling them in the future 104 00:05:30,040 --> 00:05:32,320 Speaker 2: because he was kind of this he would be basically 105 00:05:32,360 --> 00:05:35,800 Speaker 2: a two time loser, and I think he would have 106 00:05:35,920 --> 00:05:39,440 Speaker 2: put a cloud over that business now that he's one, though, 107 00:05:39,480 --> 00:05:41,560 Speaker 2: there's there's there's some future in it. 108 00:05:41,600 --> 00:05:44,520 Speaker 1: I think NFTs aren't the only digital asset Trump is 109 00:05:44,560 --> 00:05:47,520 Speaker 1: involved with. He's also gotten into cryptocurrencies. 110 00:05:47,800 --> 00:05:52,680 Speaker 2: They haven't built a kind of operational business yet. He's 111 00:05:52,720 --> 00:05:56,200 Speaker 2: really become a friend of crypto, the crypto industry, was 112 00:05:56,200 --> 00:05:58,720 Speaker 2: a big backer of Trump in this election, a very 113 00:05:58,800 --> 00:06:02,600 Speaker 2: vocal supporter. He's spoke at crypto conferences, and a lot 114 00:06:02,640 --> 00:06:07,840 Speaker 2: of crypto backers, people like the Winklevoss Twins, were supportive 115 00:06:07,839 --> 00:06:10,760 Speaker 2: of Trump because he pledged to do things like get 116 00:06:10,880 --> 00:06:14,799 Speaker 2: rid of Garry Gensler, the SEC head who was viewed 117 00:06:14,800 --> 00:06:18,200 Speaker 2: as hostile to crypto, So that really they were an 118 00:06:18,200 --> 00:06:21,760 Speaker 2: important part of the kind of coalition that got him elected, 119 00:06:22,200 --> 00:06:28,320 Speaker 2: of the tech industry's support for Trump, and that could 120 00:06:28,320 --> 00:06:30,800 Speaker 2: be an important part of his worth going forward. 121 00:06:31,400 --> 00:06:34,120 Speaker 1: Tom says he and his colleagues have concluded that Trump's 122 00:06:34,200 --> 00:06:38,479 Speaker 1: NFTs and crypto ventures are too difficult to value, so 123 00:06:38,640 --> 00:06:40,920 Speaker 1: they're not part of his five point seven billion dollar 124 00:06:41,040 --> 00:06:45,640 Speaker 1: net worth as calculated by Bloomberg. It's easier comparatively to 125 00:06:45,720 --> 00:06:48,320 Speaker 1: put a number on Trump's real estate holdings. 126 00:06:48,480 --> 00:06:50,360 Speaker 2: So there are kind of two in particular that I 127 00:06:50,360 --> 00:06:53,520 Speaker 2: think are really interesting to watch. One is forty Wall Street, 128 00:06:53,520 --> 00:06:56,800 Speaker 2: which is this nineteen twenties Art Deco building downtown. It's 129 00:06:56,839 --> 00:06:58,200 Speaker 2: quite a beautiful building. 130 00:06:58,120 --> 00:06:59,440 Speaker 1: Right by the Stock Exchange. 131 00:07:00,320 --> 00:07:03,360 Speaker 2: Right by the Stock Exchange. It's lost a lot of tenants, 132 00:07:03,720 --> 00:07:06,640 Speaker 2: especially over the last couple of years. It's not making 133 00:07:06,760 --> 00:07:09,160 Speaker 2: enough money to cover its interest payments. It's only making 134 00:07:09,160 --> 00:07:11,840 Speaker 2: about sixty percent of what it needs to cover its 135 00:07:11,920 --> 00:07:14,760 Speaker 2: interest payments, So it's a money loser right now. 136 00:07:15,240 --> 00:07:18,640 Speaker 1: Trump doesn't own forty Wall Street outright. He has a 137 00:07:18,640 --> 00:07:21,800 Speaker 1: ground lease on the property. And Tom says what Trump 138 00:07:21,840 --> 00:07:24,360 Speaker 1: pays for that is about to change. 139 00:07:24,040 --> 00:07:26,600 Speaker 2: And that rent is going to go up really substantially 140 00:07:26,640 --> 00:07:30,000 Speaker 2: in twenty thirty two, which you know, it's not making 141 00:07:30,040 --> 00:07:31,960 Speaker 2: money now, it's going to make even less money than 142 00:07:32,800 --> 00:07:35,000 Speaker 2: at least by the terms of that ground lease contract. 143 00:07:35,320 --> 00:07:38,600 Speaker 2: So at some point I think that contract is going 144 00:07:38,640 --> 00:07:40,880 Speaker 2: to need to be negotiated. 145 00:07:41,160 --> 00:07:44,040 Speaker 1: And Tom says winning the twenty twenty four presidential election 146 00:07:44,560 --> 00:07:47,320 Speaker 1: is likely to give Trump more bargaining power. 147 00:07:47,560 --> 00:07:49,400 Speaker 2: The last thing I think another party is going to 148 00:07:49,520 --> 00:07:52,679 Speaker 2: want is to be in some sort of public dispute 149 00:07:52,720 --> 00:07:55,240 Speaker 2: with the president of the United States or litigation with 150 00:07:55,280 --> 00:07:57,680 Speaker 2: the president of the United States. You know you're going 151 00:07:57,720 --> 00:07:59,520 Speaker 2: to be trying to work out a solution. 152 00:08:00,160 --> 00:08:03,000 Speaker 1: And then, of course there's Trump Tower in Manhattan. 153 00:08:03,160 --> 00:08:08,600 Speaker 2: That building also has issues. It's got the commercial area downstairs. 154 00:08:09,040 --> 00:08:11,560 Speaker 2: They don't have a lot of high profile tenants there anymore. 155 00:08:12,200 --> 00:08:14,200 Speaker 2: It's not doing great the one they do have left 156 00:08:14,280 --> 00:08:14,800 Speaker 2: is Gucci. 157 00:08:15,240 --> 00:08:20,040 Speaker 1: Gucci Trump Tower's most important retail tenant, renegotiated its lease 158 00:08:20,160 --> 00:08:23,280 Speaker 1: to lock in a lower rent during the pandemic, but 159 00:08:23,480 --> 00:08:26,560 Speaker 1: there could be issues there too. Tom says there have 160 00:08:26,600 --> 00:08:31,840 Speaker 1: been signs the company has been looking to relocate when 161 00:08:31,880 --> 00:08:35,320 Speaker 1: we come back. How Trump's growing list of liabilities, from 162 00:08:35,360 --> 00:08:38,600 Speaker 1: conflicts of interest to his legal cases could affect his 163 00:08:38,679 --> 00:08:49,040 Speaker 1: businesses and his bank account. Bloomberg's Tom Maloney says that 164 00:08:49,080 --> 00:08:52,280 Speaker 1: when Donald Trump left office in twenty twenty one, he 165 00:08:52,480 --> 00:08:55,319 Speaker 1: used a different playbook than his predecessors. 166 00:08:55,679 --> 00:09:00,880 Speaker 2: Past presidents have benefited from these corporate ties, from this 167 00:09:01,080 --> 00:09:04,240 Speaker 2: network that they build during the presidency, maybe by becoming 168 00:09:04,240 --> 00:09:08,800 Speaker 2: a director at a company, or you know, getting donations 169 00:09:09,000 --> 00:09:13,120 Speaker 2: to their charitable foundation or something like that, which is 170 00:09:13,200 --> 00:09:15,920 Speaker 2: on a completely different scale from what we're talking about 171 00:09:16,280 --> 00:09:22,760 Speaker 2: with Trump, who has, you know, real substantial businesses, isn't 172 00:09:22,800 --> 00:09:27,800 Speaker 2: afraid to go out there and enter into agreements that 173 00:09:27,920 --> 00:09:31,440 Speaker 2: might be seen as conflicts of interest. That is, obviously, 174 00:09:31,480 --> 00:09:36,679 Speaker 2: I think something that Trump isn't very concerned about. He's 175 00:09:37,080 --> 00:09:40,959 Speaker 2: comfortable with the kind of political ramifications of those sort 176 00:09:41,000 --> 00:09:46,680 Speaker 2: of deals, and it's a way that he can you 177 00:09:46,720 --> 00:09:49,000 Speaker 2: know if he sees it as a way to make 178 00:09:49,080 --> 00:09:51,560 Speaker 2: money to benefit his businesses. I don't think that he's 179 00:09:51,640 --> 00:09:55,000 Speaker 2: going to generally walk away from those kind of transactions. 180 00:09:55,160 --> 00:09:59,040 Speaker 1: Sticking with the uniqueness of Donald Trump, we've seen presidents 181 00:09:59,080 --> 00:10:01,560 Speaker 1: in the past take steps to protect themselves from potential 182 00:10:01,600 --> 00:10:03,680 Speaker 1: conflicts of interest while they've been in office, to protect 183 00:10:03,679 --> 00:10:06,000 Speaker 1: themselves from the appearance of conflicts of interest when they've 184 00:10:06,000 --> 00:10:09,240 Speaker 1: been in office. Remind us what Donald Trump put in 185 00:10:09,280 --> 00:10:13,440 Speaker 1: place back in twenty seventeen to do that, and what 186 00:10:13,480 --> 00:10:15,200 Speaker 1: do you think the likelihood is that those structures are 187 00:10:15,200 --> 00:10:16,599 Speaker 1: going to be in place this time around when he 188 00:10:16,640 --> 00:10:17,959 Speaker 1: starts his second term. 189 00:10:18,280 --> 00:10:20,920 Speaker 2: So the first time around, Trump put his assets into 190 00:10:21,000 --> 00:10:24,280 Speaker 2: a trust, he still obviously attracted a lot of criticism 191 00:10:24,440 --> 00:10:26,920 Speaker 2: about various parts of his business, getting a lot of 192 00:10:26,920 --> 00:10:31,920 Speaker 2: money from foreign sources and so on. This time around, 193 00:10:32,000 --> 00:10:35,640 Speaker 2: Eric Trump has suggested they won't go to the same extent, 194 00:10:35,720 --> 00:10:38,880 Speaker 2: but there is really no clarity about exactly what steps 195 00:10:38,920 --> 00:10:41,240 Speaker 2: they're going to take to mitigate these conflicts of interest 196 00:10:41,280 --> 00:10:43,679 Speaker 2: this time around. So it's certainly something that people are 197 00:10:43,679 --> 00:10:47,120 Speaker 2: going to be watching and looking at, especially with things 198 00:10:47,840 --> 00:10:50,959 Speaker 2: like Trump media and technology. It's a publicly traded company. 199 00:10:51,040 --> 00:10:55,720 Speaker 2: So you know, people have suggested that if groups wanted 200 00:10:55,720 --> 00:10:58,920 Speaker 2: to win favor with Trump, they could simply invest in 201 00:10:59,000 --> 00:11:02,360 Speaker 2: this company and boost the value of the stock and 202 00:11:02,400 --> 00:11:05,800 Speaker 2: that boost Trump's personal fortune. We're just gonna have to 203 00:11:05,800 --> 00:11:08,840 Speaker 2: wait and see what happens there. There has been discussion 204 00:11:08,920 --> 00:11:14,040 Speaker 2: about maybe it merging with Twitter with x, which is 205 00:11:14,640 --> 00:11:18,679 Speaker 2: owned by Elon Musk. They haven't really commented on that, 206 00:11:19,240 --> 00:11:21,200 Speaker 2: but that's you know, one of the theories is that 207 00:11:21,240 --> 00:11:24,960 Speaker 2: maybe Musk is going to buy truth Social and that's 208 00:11:24,960 --> 00:11:28,520 Speaker 2: why it should be considered valuable, but there's no real 209 00:11:28,559 --> 00:11:30,360 Speaker 2: evidence that that's going there occur. 210 00:11:30,760 --> 00:11:32,960 Speaker 1: We've talked about one side of the balance sheet a lot. 211 00:11:33,000 --> 00:11:36,160 Speaker 1: Those are the assets that he has and where he's 212 00:11:36,160 --> 00:11:38,559 Speaker 1: making money. Where is he that what's weighing on that 213 00:11:38,600 --> 00:11:41,360 Speaker 1: balance sheet, what's weighing on him financially certainly. 214 00:11:41,400 --> 00:11:44,000 Speaker 2: So you know, look, he's big liabilities at this point 215 00:11:44,080 --> 00:11:50,199 Speaker 2: are the legal settlements. So he has hundreds of millions 216 00:11:50,200 --> 00:11:53,800 Speaker 2: of dollars due in the defamation case with Nie Gene 217 00:11:53,800 --> 00:11:58,320 Speaker 2: Carroll and also with the New York fraud case. Both 218 00:11:58,360 --> 00:12:03,680 Speaker 2: of those settlements being held up on appeals and so on. 219 00:12:04,080 --> 00:12:06,559 Speaker 2: So he hasn't had to pay that money out yet. 220 00:12:06,640 --> 00:12:09,560 Speaker 2: He's had to pay a bond, but not all of 221 00:12:09,559 --> 00:12:14,720 Speaker 2: that money has been paid at this point. Now, coming 222 00:12:14,760 --> 00:12:18,200 Speaker 2: into presidency, he's probably got the ability to string that 223 00:12:18,280 --> 00:12:21,200 Speaker 2: out a bit longer, So it's positive for him on 224 00:12:21,240 --> 00:12:23,280 Speaker 2: the liability side as well. 225 00:12:23,400 --> 00:12:24,880 Speaker 1: Where do you see this story going from here? What 226 00:12:24,920 --> 00:12:26,360 Speaker 1: are you going to be watching for next. 227 00:12:26,360 --> 00:12:27,960 Speaker 2: We're certainly going to be watching how he deals with 228 00:12:28,000 --> 00:12:31,960 Speaker 2: these conflicts of interest going up to his inauguration, what 229 00:12:32,080 --> 00:12:36,319 Speaker 2: steps he's going to take to mitigate them, whether he's 230 00:12:36,360 --> 00:12:38,880 Speaker 2: going to do anything with Trump Media and Technology. You know, 231 00:12:38,920 --> 00:12:41,560 Speaker 2: he has a big stake in the company. Is he 232 00:12:41,600 --> 00:12:44,400 Speaker 2: going to try to hold on to that? Is he 233 00:12:44,480 --> 00:12:46,800 Speaker 2: going to put it into some sort of trust, give 234 00:12:46,840 --> 00:12:50,840 Speaker 2: control to somebody else? And I think what's really interesting 235 00:12:51,080 --> 00:12:55,000 Speaker 2: is coming into this administration, you're probably going to have 236 00:12:56,000 --> 00:12:59,840 Speaker 2: the richest cabinet that you've ever seen. Looking at some 237 00:13:00,160 --> 00:13:05,319 Speaker 2: names that have been bandied around cabinet members and executive appointments, 238 00:13:05,320 --> 00:13:08,559 Speaker 2: people like Elon Musk, the richest person in the world, 239 00:13:08,840 --> 00:13:13,160 Speaker 2: Howard Lutnick, John Paulson, etc. So it's going to be 240 00:13:13,240 --> 00:13:17,520 Speaker 2: really fascinating to see how they attempt to manage these 241 00:13:17,520 --> 00:13:21,200 Speaker 2: conflicts of interests, what steps they take to you know, 242 00:13:21,280 --> 00:13:24,080 Speaker 2: get out of their businesses at all, if they do any, 243 00:13:25,120 --> 00:13:30,240 Speaker 2: and the tax implications of that as well. 244 00:13:30,280 --> 00:13:32,920 Speaker 1: This is the Big Take from Bloomberg News. I'm David Gura. 245 00:13:33,559 --> 00:13:36,600 Speaker 1: This episode was produced by David Fox and Julia Press. 246 00:13:37,040 --> 00:13:40,440 Speaker 1: It was edited by Aaron Edwards, Caitlin Kenny, and Brian Chapatta. 247 00:13:41,120 --> 00:13:43,480 Speaker 1: It was mixed by Alex Sagura and fact checked by 248 00:13:43,520 --> 00:13:47,360 Speaker 1: Adrian A. Tapia. Our senior producer is Naomi Shaven. Our 249 00:13:47,440 --> 00:13:51,720 Speaker 1: senior editor is Elizabeth Ponso. Our executive producer is Nicole Beemster. 250 00:13:51,800 --> 00:13:55,600 Speaker 1: Bor Sage Bowman is Bloomberg's head of podcasts. If you 251 00:13:55,760 --> 00:13:58,440 Speaker 1: like this episode, make sure to subscribe and review The 252 00:13:58,440 --> 00:14:01,120 Speaker 1: Big Take wherever you listen to Podcas asked it helps 253 00:14:01,120 --> 00:14:04,040 Speaker 1: people find the show. Thanks for listening. We'll be back 254 00:14:04,080 --> 00:14:04,520 Speaker 1: next week.