1 00:00:01,040 --> 00:00:01,240 Speaker 1: Hi. 2 00:00:01,480 --> 00:00:04,320 Speaker 2: I'm Sarah Holder, a host of The Big Take. Today 3 00:00:04,400 --> 00:00:07,120 Speaker 2: we're sharing the newest episode from our collaborators over at 4 00:00:07,160 --> 00:00:09,959 Speaker 2: the Big Take DC. They look at why Wall Street 5 00:00:09,960 --> 00:00:12,520 Speaker 2: donors are waiting to weigh in on the GOP primary. 6 00:00:13,119 --> 00:00:15,440 Speaker 2: Make sure you subscribe to the Big Take DC feed 7 00:00:15,600 --> 00:00:18,720 Speaker 2: so you can get episodes like these every Thursday. Just 8 00:00:18,760 --> 00:00:22,480 Speaker 2: look up Big Take DC available wherever you listen to podcasts, 9 00:00:23,120 --> 00:00:25,040 Speaker 2: and while you're there, check out the reporting from the 10 00:00:25,040 --> 00:00:28,720 Speaker 2: Iowa caucuses earlier this week. With that, enjoy the show. 11 00:00:29,000 --> 00:00:30,720 Speaker 2: I'll talk to you Monday. 12 00:00:33,760 --> 00:00:36,000 Speaker 3: If you look at a list of the top individual 13 00:00:36,040 --> 00:00:39,640 Speaker 3: contributors to any US election, you're going to notice the pattern. 14 00:00:40,159 --> 00:00:42,680 Speaker 3: The biggest donors mostly work in finance. 15 00:00:43,280 --> 00:00:45,479 Speaker 1: So these are people who run hedge funds, who are 16 00:00:45,479 --> 00:00:48,600 Speaker 1: big investors and are well known within the finance world. 17 00:00:49,200 --> 00:00:52,880 Speaker 3: That's my Bloomberg News colleague, Laura Davison. If you follow 18 00:00:52,920 --> 00:00:56,080 Speaker 3: Wall Street, you might even recognize some of these names. 19 00:00:56,400 --> 00:00:58,800 Speaker 1: Ken Griffin, Jeff Yass Paul Singer. 20 00:00:59,120 --> 00:01:02,720 Speaker 3: During the twenty twenty to midterms, those three billionaires gave 21 00:01:02,720 --> 00:01:06,800 Speaker 3: over one hundred and fifty million dollars in federal political donations. 22 00:01:07,360 --> 00:01:11,720 Speaker 3: That money went to campaigns, organizations, and political parties. That's 23 00:01:11,840 --> 00:01:14,960 Speaker 3: enough to fund an entire Senate race. And about a 24 00:01:15,040 --> 00:01:18,919 Speaker 3: year ago, Laura started calling up some major donors heading 25 00:01:18,959 --> 00:01:21,720 Speaker 3: into what could be one of the most consequential elections 26 00:01:21,720 --> 00:01:25,760 Speaker 3: in decades. She wanted to know which candidate they liked best. 27 00:01:25,959 --> 00:01:28,520 Speaker 1: And I was making a bunch of calls to different donors. 28 00:01:28,520 --> 00:01:30,600 Speaker 1: They said, look, none of us like Trump. What we 29 00:01:30,680 --> 00:01:34,000 Speaker 1: need to do is get behind one candidate and all 30 00:01:34,040 --> 00:01:35,160 Speaker 1: donate to that candidate. 31 00:01:35,360 --> 00:01:39,120 Speaker 3: That's what Laura thought would happen, especially because major donors 32 00:01:39,120 --> 00:01:42,520 Speaker 3: could be the key to another Republican candidate beating former 33 00:01:42,600 --> 00:01:46,320 Speaker 3: President Donald Trump for the party's nomination. But now here 34 00:01:46,360 --> 00:01:49,080 Speaker 3: we are in January twenty twenty four, less than a 35 00:01:49,200 --> 00:01:51,800 Speaker 3: year away from that very election, and. 36 00:01:52,480 --> 00:01:59,200 Speaker 1: Things really haven't changed. Basically, they didn't get behind anyone. 37 00:01:57,280 --> 00:02:01,400 Speaker 3: From Bloomberg's Washington bureau. This is the Big Take DC Podcast. 38 00:02:01,840 --> 00:02:05,760 Speaker 3: I'm your host Salia Mosen. Today on the show, we'll 39 00:02:05,800 --> 00:02:09,200 Speaker 3: hear from Laura and also I'll introduce a source of 40 00:02:09,240 --> 00:02:12,720 Speaker 3: mind who's pretty close to this story, investor Kyle Bass. 41 00:02:13,600 --> 00:02:16,240 Speaker 3: He's plugged into the world of political money and is 42 00:02:16,280 --> 00:02:19,800 Speaker 3: close with some major donors. Kyle and I dig into 43 00:02:19,840 --> 00:02:22,160 Speaker 3: what folks in that world want out of this election 44 00:02:22,320 --> 00:02:24,919 Speaker 3: cycle and what it all means for the twenty twenty 45 00:02:24,919 --> 00:02:33,480 Speaker 3: four race. By this point in a presidential campaign cycle, 46 00:02:33,760 --> 00:02:37,000 Speaker 3: we typically be seeing a lot of wealthy investors opening 47 00:02:37,040 --> 00:02:40,720 Speaker 3: up their wallets. They'd be hosting fundraisers, funneling money towards 48 00:02:40,800 --> 00:02:43,519 Speaker 3: the candidates they support, But not this year. 49 00:02:43,880 --> 00:02:45,240 Speaker 1: Just to kind of give you like a size and 50 00:02:45,240 --> 00:02:47,639 Speaker 1: scope here, back in twenty sixteen, which was the last 51 00:02:47,639 --> 00:02:51,480 Speaker 1: time we had a Republican primary crowded field. By the 52 00:02:51,600 --> 00:02:53,520 Speaker 1: end of the third quarter, which is the latest data 53 00:02:53,560 --> 00:02:57,040 Speaker 1: that we have to compare to the top ten Republican 54 00:02:57,040 --> 00:03:00,480 Speaker 1: donors had given five million dollars to all the Republican 55 00:03:00,520 --> 00:03:04,280 Speaker 1: presidential candidates. Right now, we only have about one point 56 00:03:04,360 --> 00:03:07,359 Speaker 1: three million in donations that have so far been reported, 57 00:03:07,440 --> 00:03:10,680 Speaker 1: so you know, almost a fifth compared to twenty sixteen. 58 00:03:11,840 --> 00:03:14,440 Speaker 3: Part of that comes down to the Republican front runner, 59 00:03:14,760 --> 00:03:18,359 Speaker 3: former President Donald Trump. I talked about this with one 60 00:03:18,360 --> 00:03:21,799 Speaker 3: big investor, Kyle Bass. He runs a hedge fund called 61 00:03:21,800 --> 00:03:25,000 Speaker 3: Hayman Capital Management out of Dallas, Texas. 62 00:03:25,280 --> 00:03:28,760 Speaker 4: I mean, look, I know Trump's second largest donor. He's 63 00:03:28,760 --> 00:03:32,240 Speaker 4: a very good friend of mine, someone that donated nine 64 00:03:32,360 --> 00:03:35,440 Speaker 4: figures Okay, we're talking one hundred million dollars or more, 65 00:03:35,520 --> 00:03:40,280 Speaker 4: someone that really gave the Donald real money in twenty sixteen, 66 00:03:40,720 --> 00:03:43,360 Speaker 4: and so far he's not given Trump any money this year. 67 00:03:43,840 --> 00:03:46,600 Speaker 3: That's not a one off. Only two of the top 68 00:03:46,640 --> 00:03:50,440 Speaker 3: ten Republican donors in the last presidential cycle have committed 69 00:03:50,480 --> 00:03:53,720 Speaker 3: to Trump's twenty twenty four campaign, and at this point 70 00:03:53,720 --> 00:03:56,960 Speaker 3: in the last cycle, over half of them had already donated. 71 00:03:58,120 --> 00:04:01,560 Speaker 3: Bass isn't a major political donor himself, but he has 72 00:04:01,640 --> 00:04:04,680 Speaker 3: thrown his money into some races in the past, and 73 00:04:04,720 --> 00:04:06,680 Speaker 3: when he looks at the options in front of him 74 00:04:06,680 --> 00:04:10,440 Speaker 3: this year, like many Americans, he's not that excited. You know. 75 00:04:10,520 --> 00:04:14,560 Speaker 4: Look, I don't have a friend that believes Trump or 76 00:04:14,600 --> 00:04:18,279 Speaker 4: Biden should be our president. Two octogenarians that each have 77 00:04:18,839 --> 00:04:21,400 Speaker 4: a litany of their own problems as the best that 78 00:04:21,440 --> 00:04:23,680 Speaker 4: the United States can serve up right now, and I 79 00:04:23,720 --> 00:04:24,919 Speaker 4: just don't think that's the case. 80 00:04:26,240 --> 00:04:29,599 Speaker 3: The possibility of that rematch feels especially real this week. 81 00:04:30,040 --> 00:04:33,160 Speaker 3: On Monday, Trump ran away with the Republican nomination in 82 00:04:33,200 --> 00:04:37,200 Speaker 3: the Iowa caucuses by a landslide. But Trump is a 83 00:04:37,240 --> 00:04:41,200 Speaker 3: tricky candidate. For fiscal conservatives. These donors tend to favor 84 00:04:41,240 --> 00:04:44,799 Speaker 3: the Republican Party because it supports lower taxes and less 85 00:04:44,839 --> 00:04:48,279 Speaker 3: regulation of the businesses that they run. But while Trump 86 00:04:48,440 --> 00:04:52,320 Speaker 3: is a Republican, he isn't consistent his policies and his 87 00:04:52,400 --> 00:04:56,320 Speaker 3: actions are unpredictable. That makes him feel risky for investors 88 00:04:56,320 --> 00:05:00,479 Speaker 3: who need stability from their government. Here's Bloomberg's Laura Davison. 89 00:05:00,520 --> 00:05:03,279 Speaker 1: Again, at its core, they're running a business, and so 90 00:05:03,320 --> 00:05:05,760 Speaker 1: they want to know what the policy is going to be. 91 00:05:06,080 --> 00:05:08,599 Speaker 1: Is there going to be a ten percent tariff on 92 00:05:08,640 --> 00:05:12,080 Speaker 1: all imports? Is he going to get in fights with 93 00:05:12,320 --> 00:05:15,560 Speaker 1: trading partners or allies or things that could disrupt how 94 00:05:15,600 --> 00:05:19,919 Speaker 1: they go about doing business. Having consistency and trust in 95 00:05:19,960 --> 00:05:21,839 Speaker 1: what Washington is doing and that it's not going to 96 00:05:21,839 --> 00:05:26,200 Speaker 1: disrupt the broader economic outlook is really important to business 97 00:05:26,279 --> 00:05:27,279 Speaker 1: leaders first and foremost. 98 00:05:27,640 --> 00:05:30,640 Speaker 3: And there's another reason these executives may be staying away 99 00:05:30,680 --> 00:05:33,919 Speaker 3: from Trump. They might not want the liability that comes 100 00:05:33,960 --> 00:05:35,320 Speaker 3: with being associated with them. 101 00:05:35,640 --> 00:05:37,840 Speaker 1: If you run a big business, you have a lot 102 00:05:37,839 --> 00:05:40,760 Speaker 1: of employees. Trump has been a very divisive figure. 103 00:05:41,120 --> 00:05:44,360 Speaker 3: That doesn't necessarily mean they won't support Trump with their 104 00:05:44,440 --> 00:05:47,600 Speaker 3: dollars and their votes if he takes the Republican nomination. 105 00:05:48,279 --> 00:05:51,400 Speaker 3: But going into New Hampshire next week in South Carolina 106 00:05:51,440 --> 00:05:54,880 Speaker 3: a few weeks later, these candidates aren't just vying for 107 00:05:55,000 --> 00:05:59,279 Speaker 3: state delegates. They're also in a less visible contest, the 108 00:05:59,320 --> 00:06:02,640 Speaker 3: one to win over GOP donors, who tend to watch 109 00:06:02,680 --> 00:06:05,880 Speaker 3: these early state level races as they decide which candidates 110 00:06:05,880 --> 00:06:10,400 Speaker 3: to give money to. Big investors have told Laura they're 111 00:06:10,400 --> 00:06:13,760 Speaker 3: still holding out hope for a viable Trump challenger. Just 112 00:06:13,880 --> 00:06:18,080 Speaker 3: this week, even after the IOWER results, Blackstone CEO Steve 113 00:06:18,120 --> 00:06:21,880 Speaker 3: Schwartzman refused to tell CNBC what he'd do if Trump 114 00:06:22,000 --> 00:06:23,520 Speaker 3: was the Republican nominee. 115 00:06:23,760 --> 00:06:24,480 Speaker 4: I'm in thee. 116 00:06:24,960 --> 00:06:27,160 Speaker 3: Let's wait and see and see how this works. 117 00:06:27,760 --> 00:06:31,440 Speaker 4: I'm not into the hypothetical world yet, as much as 118 00:06:31,440 --> 00:06:32,279 Speaker 4: you'd like me to be. 119 00:06:33,320 --> 00:06:37,040 Speaker 3: These donors are craving an alternative, a new standard bearer 120 00:06:37,080 --> 00:06:41,800 Speaker 3: for traditional Republican Party principles like fiscal conservatism, who also 121 00:06:41,920 --> 00:06:45,320 Speaker 3: offers the stability that their businesses and the markets rely on. 122 00:06:46,480 --> 00:06:49,640 Speaker 3: The trouble is they've had a tough time committing to one. 123 00:06:50,360 --> 00:06:53,200 Speaker 1: Basically, everyone sat around and couldn't decide whether it was 124 00:06:53,240 --> 00:06:56,080 Speaker 1: going to be Desantists, whether it was Tim Scott, Nikki Haley. 125 00:06:56,400 --> 00:06:57,840 Speaker 3: So what did these investors do? 126 00:06:58,120 --> 00:07:01,120 Speaker 1: They scattered a little bit of money to several different candidates. 127 00:07:01,560 --> 00:07:04,480 Speaker 3: Some of them backed Florida Governor Ron DeSantis early on, 128 00:07:05,040 --> 00:07:08,320 Speaker 3: but he supported some social policies that aren't so popular 129 00:07:08,320 --> 00:07:11,280 Speaker 3: with investors, and he doesn't always give donors the kind 130 00:07:11,280 --> 00:07:15,440 Speaker 3: of attention they expect their money to buy. John Katzimatitis, 131 00:07:15,560 --> 00:07:18,640 Speaker 3: a billionaire who was donated to the Republican Party, talked 132 00:07:18,680 --> 00:07:21,520 Speaker 3: about this on CNN and he sounded bewildered. 133 00:07:22,040 --> 00:07:26,440 Speaker 2: I have a lot of Florida friends that helped him 134 00:07:26,440 --> 00:07:30,280 Speaker 2: get elected, and he hasn't returned to any of their clause. 135 00:07:31,440 --> 00:07:35,520 Speaker 3: Even DeSantis's biggest donor, a Florida real estate magnet named 136 00:07:35,600 --> 00:07:38,840 Speaker 3: Robert Bigelow, said he'd made a mistake in offering his support. 137 00:07:39,840 --> 00:07:42,680 Speaker 3: Other investors have gotten behind Nicki Haley, the former South 138 00:07:42,720 --> 00:07:46,960 Speaker 3: Carolina governor. That includes major Democratic donor and LinkedIn founder 139 00:07:47,000 --> 00:07:51,280 Speaker 3: Reid Hoffman and JP Morgan's CEO. Jamie Diamond called on 140 00:07:51,360 --> 00:07:53,800 Speaker 3: the audience of the New York Times Deal Book conference 141 00:07:53,920 --> 00:07:55,320 Speaker 3: directly when he said. 142 00:07:55,240 --> 00:07:57,840 Speaker 2: He have a very little Democrat I urge, you know, 143 00:07:57,880 --> 00:07:58,880 Speaker 2: help Nicki Halley too. 144 00:07:59,400 --> 00:08:02,600 Speaker 3: Haley's also gotten four million dollars from a group backed 145 00:08:02,600 --> 00:08:06,920 Speaker 3: by Charles Koch, a billionaire Republican donor. You may have 146 00:08:06,960 --> 00:08:10,080 Speaker 3: seen headlines that essentially say Wall Street's going for Haley. 147 00:08:10,760 --> 00:08:14,000 Speaker 3: Her competitors have certainly leaned into that narrative. We heard 148 00:08:14,040 --> 00:08:16,520 Speaker 3: it this week at Trump and DeSantis rallies leading up 149 00:08:16,520 --> 00:08:17,680 Speaker 3: to the Iowa caucuses. 150 00:08:18,080 --> 00:08:21,680 Speaker 2: Nibi and Krikigo are both backed by war monitors and 151 00:08:21,840 --> 00:08:25,360 Speaker 2: left wing glocalist Wall Street millionnaires andonaires. 152 00:08:25,440 --> 00:08:30,840 Speaker 4: Trump is running for his issues, Hailey's running for the donors' issues. 153 00:08:31,360 --> 00:08:34,640 Speaker 4: I'm running for your issues, your family issues. 154 00:08:35,720 --> 00:08:38,200 Speaker 3: But my colleague Laura told me that the Haley narrative 155 00:08:38,280 --> 00:08:39,160 Speaker 3: is not so simple. 156 00:08:39,520 --> 00:08:42,040 Speaker 1: She did get some big donors, but still not even 157 00:08:42,080 --> 00:08:44,200 Speaker 1: close to touching Trump as well. As some of these 158 00:08:44,200 --> 00:08:46,480 Speaker 1: people have been saying, hey, we shoul Supportniki Haley, but 159 00:08:46,559 --> 00:08:49,559 Speaker 1: haven't necessarily followed up with financial support. 160 00:08:49,920 --> 00:08:52,280 Speaker 3: Just listen to some of these investors waiver when they're 161 00:08:52,320 --> 00:08:55,520 Speaker 3: asked about it. Here's Ken Griffin, the CEO of Citadel, 162 00:08:55,600 --> 00:08:56,560 Speaker 3: on Bloomberg TV. 163 00:08:56,840 --> 00:08:58,680 Speaker 1: Are you supporting her financially yet? 164 00:08:59,480 --> 00:09:01,560 Speaker 4: That's a decision that we're actively contemplating. 165 00:09:01,600 --> 00:09:03,199 Speaker 3: I mean, we're at the finish line on that choice, 166 00:09:03,240 --> 00:09:06,320 Speaker 3: yes or no. And here's billionaire investor Ken Langone on 167 00:09:06,400 --> 00:09:07,240 Speaker 3: Fox Business. 168 00:09:07,440 --> 00:09:08,360 Speaker 4: I'm almost there. 169 00:09:08,640 --> 00:09:12,280 Speaker 2: I got a couple of things I want to do, 170 00:09:12,400 --> 00:09:13,400 Speaker 2: but I'm pretty certain. 171 00:09:13,640 --> 00:09:17,120 Speaker 3: It's almost comical. The anchors on MSNBC have had a 172 00:09:17,160 --> 00:09:19,640 Speaker 3: field day with it. Here's Joe Scarborough. 173 00:09:19,679 --> 00:09:22,520 Speaker 4: I will say if a donor said they were actively 174 00:09:22,559 --> 00:09:25,600 Speaker 4: contemplating supporting me, and I was sitting across the table, 175 00:09:26,000 --> 00:09:26,559 Speaker 4: I do this. 176 00:09:26,920 --> 00:09:30,280 Speaker 3: He leans back, crosses his arms and glares. You keep 177 00:09:30,320 --> 00:09:35,160 Speaker 3: actively content the chet. Kyle Bass isn't planning to donate 178 00:09:35,200 --> 00:09:38,160 Speaker 3: to any candidate, but from where he sits, the problem 179 00:09:38,200 --> 00:09:41,920 Speaker 3: is simple. Donors want to return on their investment and 180 00:09:42,000 --> 00:09:44,520 Speaker 3: at this point it's not clear who can deliver that 181 00:09:44,559 --> 00:09:45,120 Speaker 3: for them. 182 00:09:45,280 --> 00:09:47,760 Speaker 4: No one wants to burn money. They're trying to figure 183 00:09:47,800 --> 00:09:50,320 Speaker 4: out who the front runner is going to be, and 184 00:09:50,400 --> 00:09:51,560 Speaker 4: so they're just holding off. 185 00:09:51,920 --> 00:09:54,720 Speaker 3: Ken Langone said as much just this week when he 186 00:09:54,760 --> 00:09:57,520 Speaker 3: was asked about Hayley. He said he was waiting to 187 00:09:57,559 --> 00:10:00,480 Speaker 3: see what happens in New Hampshire because, as he put it, 188 00:10:00,840 --> 00:10:04,040 Speaker 3: you don't throw money down a rat hole. But Republican 189 00:10:04,160 --> 00:10:06,480 Speaker 3: donors are in sort of a chicken and egg situation. 190 00:10:06,960 --> 00:10:10,040 Speaker 3: They're waiting to see who Trump's top challenger is before 191 00:10:10,120 --> 00:10:13,440 Speaker 3: throwing money into the race. But no one candidate can 192 00:10:13,480 --> 00:10:16,839 Speaker 3: become the top challenger without more of their support, and 193 00:10:16,880 --> 00:10:20,280 Speaker 3: they're running out of time. While these donors are waffling, 194 00:10:20,480 --> 00:10:24,880 Speaker 3: Trump's core voter base has remained steadfast, as proven in Iowa, 195 00:10:25,400 --> 00:10:28,480 Speaker 3: and the bulk of Trump's campaign fundraising comes from small 196 00:10:28,520 --> 00:10:31,440 Speaker 3: dollar donors, not C suite investor types. 197 00:10:31,679 --> 00:10:33,600 Speaker 1: I think that's the conclusion that a lot of donors 198 00:10:33,600 --> 00:10:37,079 Speaker 1: have come to that Trump has such a loyal following, 199 00:10:37,160 --> 00:10:40,120 Speaker 1: you know, between thirty and forty percent of the Republican base, 200 00:10:40,240 --> 00:10:43,800 Speaker 1: and there's almost nothing that I a wealthy donor, can 201 00:10:43,840 --> 00:10:45,640 Speaker 1: do to sway that population. 202 00:10:46,080 --> 00:10:49,120 Speaker 3: So while they wait it out and hope another frontrunner emerges, 203 00:10:49,400 --> 00:10:52,360 Speaker 3: these big donors are taking another approach to tip the 204 00:10:52,400 --> 00:10:57,000 Speaker 3: scale of politics by targeting down ballot races. We'll get 205 00:10:57,040 --> 00:11:07,839 Speaker 3: to that after the break. We're back. Just like many 206 00:11:07,880 --> 00:11:10,840 Speaker 3: of US, investors can't figure out who they want in 207 00:11:10,880 --> 00:11:13,960 Speaker 3: the White House, so instead they're using their money to 208 00:11:14,040 --> 00:11:17,200 Speaker 3: advance what they want from their government. Part of that 209 00:11:17,320 --> 00:11:19,960 Speaker 3: strategy is to hedge their bets by getting involved in 210 00:11:20,040 --> 00:11:23,440 Speaker 3: smaller races. Here's Bloomberg's Laura Davison. 211 00:11:23,440 --> 00:11:27,079 Speaker 1: Again, they're looking at how can I provide a counterweight 212 00:11:27,400 --> 00:11:29,240 Speaker 1: either to Trump or to Biden if he's in the 213 00:11:29,240 --> 00:11:31,840 Speaker 1: White House. That's why you see all this money going 214 00:11:31,920 --> 00:11:35,719 Speaker 1: into house races, congressional races. They're looking at, how can 215 00:11:35,760 --> 00:11:38,800 Speaker 1: we get Republicans that align with our sort of pro business, 216 00:11:39,280 --> 00:11:41,960 Speaker 1: anti regulation worldview into office. 217 00:11:43,000 --> 00:11:45,480 Speaker 3: Let's take a moment to talk about how donating money 218 00:11:45,520 --> 00:11:49,240 Speaker 3: to downballot races can influence policy in a different way 219 00:11:49,320 --> 00:11:52,920 Speaker 3: than donating to a presidential campaign. First, we have to 220 00:11:53,000 --> 00:11:54,480 Speaker 3: understand campaign finance. 221 00:11:54,760 --> 00:11:58,040 Speaker 1: Campaign finance laws are really complicated. So if the donor 222 00:11:58,080 --> 00:12:00,800 Speaker 1: wants to give to a specific campaign, are only allowed 223 00:12:00,840 --> 00:12:04,240 Speaker 1: to give a couple thousand dollars. This limit changes every year. 224 00:12:04,320 --> 00:12:06,920 Speaker 1: For this year it's thirty three hundred dollars. But when 225 00:12:06,960 --> 00:12:09,640 Speaker 1: you look at kind of how they're giving in totality, 226 00:12:10,080 --> 00:12:11,960 Speaker 1: some of the biggest donors are giving, you know, more 227 00:12:12,000 --> 00:12:14,720 Speaker 1: than one hundred million dollars annually or tens of millions 228 00:12:14,720 --> 00:12:18,040 Speaker 1: of dollars. But that's spread across dozens of not hundreds 229 00:12:18,080 --> 00:12:22,120 Speaker 1: of candidates and other entities, super packs, regular packs, leadership. 230 00:12:21,760 --> 00:12:26,080 Speaker 3: Packs, pack stands for political action committee, and the essentially 231 00:12:26,120 --> 00:12:29,040 Speaker 3: funnel money to campaigns to get around those donation caps. 232 00:12:29,440 --> 00:12:32,559 Speaker 3: So when push comes to shove, big money donors can 233 00:12:32,600 --> 00:12:36,640 Speaker 3: dole out millions of dollars however they please, and support 234 00:12:36,640 --> 00:12:39,760 Speaker 3: from one key investor has the power to trickle down 235 00:12:40,120 --> 00:12:42,600 Speaker 3: because while you or I might not change your votes 236 00:12:42,640 --> 00:12:46,120 Speaker 3: based on, say, who Ken Griffin decides to back some 237 00:12:46,200 --> 00:12:50,160 Speaker 3: of the employees or clients at Citadel his investment firm, might. 238 00:12:51,040 --> 00:12:53,840 Speaker 1: The way that political fundraising works a lot of these 239 00:12:53,840 --> 00:12:55,880 Speaker 1: times is a certain person who is a big advocate 240 00:12:55,880 --> 00:12:58,400 Speaker 1: for a candidate will host a fundraiser at their home 241 00:12:58,559 --> 00:13:00,160 Speaker 1: or you know, with our country club or some their 242 00:13:00,240 --> 00:13:02,760 Speaker 1: site and invite all their friends to come, and that's 243 00:13:02,800 --> 00:13:04,679 Speaker 1: how they reel people in. So if you have a 244 00:13:04,720 --> 00:13:07,959 Speaker 1: really big name who's very trusted supporting and endorsing a 245 00:13:08,040 --> 00:13:11,120 Speaker 1: certain candidate, you can get a lot of other donors 246 00:13:11,120 --> 00:13:12,839 Speaker 1: who are maybe not, you know, going to give tens 247 00:13:12,840 --> 00:13:14,960 Speaker 1: of millions of dollars, but might give hundreds of thousands 248 00:13:15,000 --> 00:13:18,240 Speaker 1: of dollars. People who aren't necessarily a hedge fund founder, 249 00:13:18,760 --> 00:13:21,720 Speaker 1: but that person is their boss or their boss's boss's boss, 250 00:13:21,800 --> 00:13:25,560 Speaker 1: and they see, ah, okay, Ken Griffin is backing this candidate. 251 00:13:25,880 --> 00:13:27,800 Speaker 1: That might be a person that I want to back. 252 00:13:27,880 --> 00:13:30,920 Speaker 1: I trust his judgment as an investor. I probably also 253 00:13:31,000 --> 00:13:32,520 Speaker 1: will trust his judgment as a donor. 254 00:13:32,600 --> 00:13:34,920 Speaker 3: And what kind of impact can that money have on 255 00:13:34,960 --> 00:13:35,920 Speaker 3: an election cycle? 256 00:13:36,600 --> 00:13:39,079 Speaker 1: So it can have a lot of impact, particularly when 257 00:13:39,120 --> 00:13:42,079 Speaker 1: you're looking at House and Senate races, when the total 258 00:13:42,480 --> 00:13:44,720 Speaker 1: budget for a specific candidate for that race might be 259 00:13:44,760 --> 00:13:48,280 Speaker 1: about a million dollars. If a really wealthy investor comes 260 00:13:48,280 --> 00:13:50,720 Speaker 1: in and gives, you know, one hundred thousand dollars, that 261 00:13:50,760 --> 00:13:53,200 Speaker 1: can really sway the race. And of course that investor is, 262 00:13:53,240 --> 00:13:55,160 Speaker 1: you know, as it's such a big donor, is definitely 263 00:13:55,200 --> 00:13:57,840 Speaker 1: going to get FaceTime with the candidate. So that person 264 00:13:57,880 --> 00:13:59,920 Speaker 1: can really have a lot of sway in the kind 265 00:14:00,080 --> 00:14:03,239 Speaker 1: of issues they're talking about, where they're campaigning, how they're campaigning. 266 00:14:03,440 --> 00:14:05,199 Speaker 3: It's a bit of a different picture when it comes 267 00:14:05,280 --> 00:14:09,200 Speaker 3: to a presidential campaign. According to Open Secrets, the twenty 268 00:14:09,280 --> 00:14:12,520 Speaker 3: twenty election cycle brought in a record five point seven 269 00:14:12,679 --> 00:14:13,720 Speaker 3: billion dollars. 270 00:14:14,040 --> 00:14:16,280 Speaker 1: The numbers we're talking about are just so much bigger 271 00:14:16,320 --> 00:14:19,200 Speaker 1: on the presidential side. So in that case, it's a 272 00:14:19,200 --> 00:14:21,360 Speaker 1: little bit more about influence of Okay, can I get 273 00:14:21,400 --> 00:14:24,520 Speaker 1: a meeting at the Treasury Department if this candidate wins? 274 00:14:24,560 --> 00:14:26,280 Speaker 1: Can I have a meeting at the White House? 275 00:14:26,280 --> 00:14:26,400 Speaker 4: Well? 276 00:14:26,400 --> 00:14:28,680 Speaker 1: I invited to a state dinner? That kind of thing 277 00:14:28,720 --> 00:14:30,040 Speaker 1: of a little bit more soft power. 278 00:14:30,360 --> 00:14:34,480 Speaker 3: Laura has poured over Federal Election Commission filings and she's 279 00:14:34,520 --> 00:14:37,080 Speaker 3: found that the same donors who have given a fraction 280 00:14:37,160 --> 00:14:39,200 Speaker 3: of what they did in the past to the presidential 281 00:14:39,240 --> 00:14:44,480 Speaker 3: candidates themselves, they've actually given more to Republicans overall, to 282 00:14:44,560 --> 00:14:47,840 Speaker 3: House and Senate races, the party in general, and super packs. 283 00:14:48,360 --> 00:14:50,880 Speaker 1: At this time in twenty sixteen, they've given eleven million 284 00:14:50,920 --> 00:14:52,880 Speaker 1: in total. When you look at that number for twenty 285 00:14:52,880 --> 00:14:56,040 Speaker 1: twenty three, this group has given almost fifty three million. 286 00:14:56,360 --> 00:14:58,640 Speaker 1: So they're giving a lot more. They're just giving a 287 00:14:58,680 --> 00:15:00,600 Speaker 1: lot less to presidential candidates. 288 00:15:00,760 --> 00:15:03,600 Speaker 3: And because these donors are putting more money into smaller, 289 00:15:03,720 --> 00:15:07,840 Speaker 3: more local races, there's now an entire ecosystem helping them 290 00:15:07,880 --> 00:15:09,000 Speaker 3: choose where to spend it. 291 00:15:10,080 --> 00:15:13,160 Speaker 1: This is really interesting. There's almost a little cottage industry 292 00:15:13,200 --> 00:15:17,800 Speaker 1: that has sprung up of people who advise some of 293 00:15:17,840 --> 00:15:20,520 Speaker 1: these top donors about how to pick candidates. So they 294 00:15:20,640 --> 00:15:24,920 Speaker 1: are going out, they're doing research, and they're picking maybe 295 00:15:24,920 --> 00:15:28,240 Speaker 1: twenty thirty congressional districts that they think will be important. 296 00:15:28,240 --> 00:15:29,960 Speaker 1: They're looking at the Senate map saying you are going 297 00:15:30,000 --> 00:15:31,600 Speaker 1: to be the competitive races, and then they're going to 298 00:15:31,600 --> 00:15:34,800 Speaker 1: these places and interviewing all the candidates. It's a very 299 00:15:35,200 --> 00:15:37,720 Speaker 1: meticulous process, a very data driven process. 300 00:15:38,120 --> 00:15:40,640 Speaker 3: These donors get a platform to talk to candidates and 301 00:15:40,760 --> 00:15:44,080 Speaker 3: express exactly which policies they want advanced. 302 00:15:44,600 --> 00:15:47,200 Speaker 1: Ken Griffin has been very clear, I'm interested in education, 303 00:15:47,280 --> 00:15:51,240 Speaker 1: I'm interested in deregulation and how do we make it 304 00:15:51,240 --> 00:15:53,760 Speaker 1: possible for innovators and businesses to thrive. 305 00:15:54,440 --> 00:15:57,560 Speaker 3: And these down ballot races can sometimes hinge on one 306 00:15:57,640 --> 00:16:01,680 Speaker 3: major donor, unlike the president race, where money can only 307 00:16:01,720 --> 00:16:05,280 Speaker 3: go so far. Sure it might get you a dinner party, inviter, 308 00:16:05,400 --> 00:16:08,160 Speaker 3: a phone call, but it won't decide the race or 309 00:16:08,360 --> 00:16:13,480 Speaker 3: necessarily shape policy. Sometimes these investors are influencing races from 310 00:16:13,520 --> 00:16:17,160 Speaker 3: thousands of miles away. An investor based in Florida might 311 00:16:17,200 --> 00:16:21,240 Speaker 3: donate to congressional campaigns in North Dakota or Nebraska. And 312 00:16:21,360 --> 00:16:24,320 Speaker 3: Kyle Bass, he lives in Texas, but he told me 313 00:16:24,360 --> 00:16:27,240 Speaker 3: he's given to California Governor Gavin Newsom in the past, 314 00:16:27,560 --> 00:16:28,160 Speaker 3: Boy gave. 315 00:16:28,080 --> 00:16:30,080 Speaker 4: To Gavin because I wanted to get to know him, 316 00:16:30,520 --> 00:16:34,600 Speaker 4: you know, under the nod eyed Enemy statute in San Francisco. 317 00:16:35,440 --> 00:16:39,480 Speaker 3: All this raises a question do billionaires think about everyday people, 318 00:16:39,760 --> 00:16:42,480 Speaker 3: the voters and families in a particular district, for example, 319 00:16:42,840 --> 00:16:45,920 Speaker 3: when they get involved in these races. Bass told me 320 00:16:46,000 --> 00:16:49,600 Speaker 3: he does think about what everyday American voters want because 321 00:16:49,640 --> 00:16:52,000 Speaker 3: they make up the economy that he invests in. 322 00:16:52,360 --> 00:16:56,640 Speaker 4: I was at a meeting of ex fed governors where 323 00:16:57,080 --> 00:16:58,840 Speaker 4: one of the masked a question. They said, you know, 324 00:16:58,960 --> 00:17:06,080 Speaker 4: do you think that service workers' wage demands are related 325 00:17:06,280 --> 00:17:09,960 Speaker 4: to their future expectations of inflation? 326 00:17:10,440 --> 00:17:12,240 Speaker 3: In non academic terms. 327 00:17:12,359 --> 00:17:15,920 Speaker 4: The question was, do you think bartenders and waitresses are 328 00:17:16,200 --> 00:17:19,600 Speaker 4: demanding higher wages because they think inflation's going to accelerate 329 00:17:19,640 --> 00:17:22,120 Speaker 4: in the future or stay high in the future. And 330 00:17:22,200 --> 00:17:24,440 Speaker 4: I listened to them for forty five minutes. Tobate the 331 00:17:24,480 --> 00:17:25,160 Speaker 4: Phillips curve. 332 00:17:25,359 --> 00:17:27,159 Speaker 3: You don't have to know what the Phillips curve is 333 00:17:27,200 --> 00:17:29,880 Speaker 3: to know these guys were lost in their academic modeling. 334 00:17:30,200 --> 00:17:32,439 Speaker 3: They were far from the realities of paying bills and 335 00:17:32,480 --> 00:17:33,120 Speaker 3: making ends. 336 00:17:33,119 --> 00:17:33,600 Speaker 1: Meet. 337 00:17:33,880 --> 00:17:36,280 Speaker 4: After forty five minutes, I raised my hand and I said, 338 00:17:36,600 --> 00:17:40,359 Speaker 4: have any of you spoken with a service worker in 339 00:17:40,400 --> 00:17:42,320 Speaker 4: the last six months? And they all looked at each 340 00:17:42,320 --> 00:17:44,800 Speaker 4: other and not one hand one up And I said, well, 341 00:17:45,119 --> 00:17:47,320 Speaker 4: I have investments in a few restaurants. So I sit 342 00:17:47,359 --> 00:17:48,960 Speaker 4: down with the bartender, and I sit down with the 343 00:17:49,000 --> 00:17:52,399 Speaker 4: waitress who now has three jobs, and they only care 344 00:17:52,440 --> 00:17:55,679 Speaker 4: about one thing. All they care about is paying their rent, 345 00:17:56,200 --> 00:17:58,960 Speaker 4: their car payment, and their food bill and their insurance. 346 00:18:00,200 --> 00:18:04,000 Speaker 3: Be a bit of an exception. Not all big investors, economists, 347 00:18:04,119 --> 00:18:06,720 Speaker 3: or others with influence over the economy are sitting down 348 00:18:06,760 --> 00:18:10,520 Speaker 3: to talk with bartenders and waitresses, but they are potentially 349 00:18:10,560 --> 00:18:14,240 Speaker 3: looking to take cues from everyday people. Who voters pick 350 00:18:14,240 --> 00:18:17,760 Speaker 3: in the early primaries like New Hampshire next week could 351 00:18:17,800 --> 00:18:21,879 Speaker 3: determine which Trump alternative Wall Street may rally behind, or 352 00:18:22,000 --> 00:18:23,720 Speaker 3: whether they end up backing Trump. 353 00:18:23,880 --> 00:18:26,879 Speaker 4: I think if you see Nikki Haley have some traction 354 00:18:27,480 --> 00:18:29,840 Speaker 4: in the first few primaries, you're going to see money 355 00:18:29,920 --> 00:18:32,639 Speaker 4: come in to Nicki Haley's campaign from the GOP and 356 00:18:32,680 --> 00:18:34,560 Speaker 4: it's going to be big money. This is all going 357 00:18:34,600 --> 00:18:37,160 Speaker 4: to come down to the wire, There's no doubt. So 358 00:18:37,240 --> 00:18:39,800 Speaker 4: I actually think. I do think that big money can 359 00:18:39,880 --> 00:18:40,640 Speaker 4: sway opinions. 360 00:18:40,920 --> 00:18:43,040 Speaker 3: Hearing Bass say that made me think of a moment 361 00:18:43,040 --> 00:18:45,960 Speaker 3: for my conversation with Laura Davison. Let's think a really 362 00:18:45,960 --> 00:18:47,960 Speaker 3: big picture here for a second. Trump has a pretty 363 00:18:47,960 --> 00:18:50,399 Speaker 3: big lead in the polls right now. If a bunch 364 00:18:50,440 --> 00:18:53,440 Speaker 3: of investors, just every investor with all the money got 365 00:18:53,440 --> 00:18:58,439 Speaker 3: behind one of his opponents DeSantis or Haley right now, 366 00:18:59,320 --> 00:19:00,920 Speaker 3: it would make a difference. 367 00:19:01,000 --> 00:19:03,800 Speaker 1: At this point, it's too late. Money takes time. You 368 00:19:03,800 --> 00:19:05,760 Speaker 1: have to hire staff, you have to run advertisements, you 369 00:19:05,880 --> 00:19:07,680 Speaker 1: to create those advertisements. It's not like you can put 370 00:19:07,680 --> 00:19:10,160 Speaker 1: it in a campaign and have it give you a 371 00:19:10,200 --> 00:19:12,840 Speaker 1: bump in your poll numbers immediately. And so at this point, 372 00:19:13,040 --> 00:19:14,720 Speaker 1: voters are going to the polls. A lot of people 373 00:19:14,720 --> 00:19:17,800 Speaker 1: have already made up their mind. The kind of leads 374 00:19:17,800 --> 00:19:20,120 Speaker 1: that Trump has in the polls suggests that he could 375 00:19:20,160 --> 00:19:24,640 Speaker 1: potentially have this nomination sewed up, you know, March April time. 376 00:19:25,160 --> 00:19:27,480 Speaker 1: Money really won't make a difference. It's the candids themselves 377 00:19:27,520 --> 00:19:28,960 Speaker 1: that have to win it for themselves. 378 00:19:31,680 --> 00:19:34,280 Speaker 3: Thanks for listening to The Big Take DC podcast from 379 00:19:34,320 --> 00:19:38,520 Speaker 3: Bloomberg News. I'm Sleiah Mosen. This episode was produced by 380 00:19:38,600 --> 00:19:41,560 Speaker 3: Julia Press and Naomi Shaven. It was fact checked by 381 00:19:41,600 --> 00:19:45,920 Speaker 3: Molly Nugent. A special thanks to Bill Allison and Laura Davison. 382 00:19:46,960 --> 00:19:51,000 Speaker 3: Alex Sugia and Blake Maples are mixed engineers. Our story 383 00:19:51,080 --> 00:19:55,119 Speaker 3: editors are Caitlin Kenny, Wendy Benjaminson, and Michael Shepherd. Sage 384 00:19:55,119 --> 00:19:59,280 Speaker 3: Bauman is our executive producer and head of Podcasts. If 385 00:19:59,280 --> 00:20:02,120 Speaker 3: you like what you have, please be sure to subscribe, rate, 386 00:20:02,160 --> 00:20:05,000 Speaker 3: and review the show. It'll help other listeners find us. 387 00:20:05,320 --> 00:20:07,360 Speaker 3: Thanks for tuning in. I'll be back next week.