1 00:00:03,080 --> 00:00:07,440 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:10,640 --> 00:00:13,240 Speaker 2: Oh, let me tell you we have a new star. 3 00:00:14,240 --> 00:00:22,120 Speaker 2: A star is born. Eylan Now he is Now, he's 4 00:00:22,160 --> 00:00:23,119 Speaker 2: an amazing guy. 5 00:00:25,680 --> 00:00:28,440 Speaker 3: Well, Jlon Muski is now the richest person on the planet. 6 00:00:28,920 --> 00:00:31,760 Speaker 2: More than half the satellites in space are owned and 7 00:00:31,840 --> 00:00:33,479 Speaker 2: controlled by one. 8 00:00:33,360 --> 00:00:36,880 Speaker 3: Man starting his own artificial intelligence company. 9 00:00:37,120 --> 00:00:40,080 Speaker 2: Well, he's a legitimate super genius. I mean legitimate. 10 00:00:40,280 --> 00:00:42,920 Speaker 3: He says he's always voted for Democrats, but this year 11 00:00:42,960 --> 00:00:43,720 Speaker 3: it will be different. 12 00:00:43,760 --> 00:00:44,720 Speaker 1: He'll vote Republican. 13 00:00:45,000 --> 00:00:47,479 Speaker 3: There is a reason the US government is so reliant 14 00:00:47,520 --> 00:00:47,880 Speaker 3: on him. 15 00:00:48,080 --> 00:00:50,760 Speaker 2: Alon Musk is a scam artist and he's done nothing. 16 00:00:52,320 --> 00:00:55,040 Speaker 4: Anything he does is fascinating people. 17 00:01:00,160 --> 00:01:06,280 Speaker 3: Yeah, welcome to Elon Ink, Bloomberg's weekly podcast about Elon Musk. 18 00:01:06,400 --> 00:01:07,759 Speaker 2: It's Wednesday, November sixth. 19 00:01:07,800 --> 00:01:11,280 Speaker 3: You are hearing a little snippet from Donald Trump's victory 20 00:01:11,319 --> 00:01:15,399 Speaker 3: speech very early this morning, in which he thanked his 21 00:01:15,480 --> 00:01:18,040 Speaker 3: main backer, who also happens to be the subject of 22 00:01:18,080 --> 00:01:21,800 Speaker 3: this podcast. I'm Max Chafkin, sitting in for David Popadopolis 23 00:01:22,000 --> 00:01:24,840 Speaker 3: and joining me from San Francisco, where I think she's 24 00:01:24,840 --> 00:01:28,200 Speaker 3: been up for most of the early morning is Dana Hall. Hey. 25 00:01:28,280 --> 00:01:35,319 Speaker 3: Dana Hey, you sound so energized, you sound. 26 00:01:34,400 --> 00:01:37,080 Speaker 2: Ready to ready to go. How late did you stay up? 27 00:01:37,720 --> 00:01:38,280 Speaker 2: I stayed up. 28 00:01:38,240 --> 00:01:41,319 Speaker 1: Until after midnight and then went to bed when it 29 00:01:41,400 --> 00:01:43,480 Speaker 1: seemed pretty clear that the race was called and the 30 00:01:43,480 --> 00:01:46,039 Speaker 1: brute blue wall was crumbling. And then I just didn't 31 00:01:46,080 --> 00:01:49,320 Speaker 1: really sleep very well and just woke up this morning 32 00:01:49,360 --> 00:01:51,880 Speaker 1: and I'm still just kind of like processing mentally what 33 00:01:51,920 --> 00:01:54,080 Speaker 1: this all means. I mean, we've been doing this podcast 34 00:01:54,160 --> 00:01:56,320 Speaker 1: for a year, and when we started it, I think 35 00:01:56,360 --> 00:01:59,320 Speaker 1: it was because we knew that Musk's you know, influence 36 00:01:59,400 --> 00:02:02,920 Speaker 1: in business, technology and all the different industries that he's 37 00:02:02,920 --> 00:02:06,840 Speaker 1: disrupted was only growing more strong. I did not think 38 00:02:06,840 --> 00:02:09,120 Speaker 1: a year ago that we would be sitting here, you know, 39 00:02:09,400 --> 00:02:12,960 Speaker 1: right after a blowout election with Musk being a main player. 40 00:02:13,360 --> 00:02:16,600 Speaker 3: The Department of Government Efficiency was spinning up to start 41 00:02:16,639 --> 00:02:19,600 Speaker 3: cutting vast swats of the federal bureaucracy, or at least 42 00:02:19,600 --> 00:02:22,280 Speaker 3: that's what Donald Trump and Elon Musk have suggested. I mean, 43 00:02:22,480 --> 00:02:25,480 Speaker 3: do you think it's fair to say that Elon won 44 00:02:25,520 --> 00:02:26,520 Speaker 3: this election for Trump? 45 00:02:26,560 --> 00:02:26,640 Speaker 1: Like? 46 00:02:26,680 --> 00:02:28,440 Speaker 2: How much credit should we give him? 47 00:02:28,440 --> 00:02:31,680 Speaker 3: He was Trump's biggest financial backer, I'd say his most 48 00:02:31,680 --> 00:02:36,160 Speaker 3: important media backer. Obviously a huge ally but like, what's 49 00:02:36,200 --> 00:02:39,520 Speaker 3: your just like quick reaction to what this means for 50 00:02:39,639 --> 00:02:41,720 Speaker 3: Elon or for Trump or for the country. 51 00:02:42,040 --> 00:02:45,720 Speaker 1: I mean, yes, I think that. Well, it's tricky. If 52 00:02:45,760 --> 00:02:49,200 Speaker 1: it had been narrower, like if Trump had won Pennsylvania 53 00:02:49,240 --> 00:02:51,240 Speaker 1: but lost in a lot of other states, then we 54 00:02:51,280 --> 00:02:54,400 Speaker 1: could say that absolutely this was all Musk's influence, because 55 00:02:54,440 --> 00:02:58,240 Speaker 1: Musk really focused on Pennsylvania, but Trump gained everywhere. So 56 00:02:59,000 --> 00:03:01,720 Speaker 1: you know, it's so it's hard to quantify what Musk's 57 00:03:01,760 --> 00:03:04,520 Speaker 1: influence was, but there's no doubt that Musk kind of 58 00:03:04,560 --> 00:03:07,560 Speaker 1: created a permission structure for people who maybe would never 59 00:03:07,600 --> 00:03:09,799 Speaker 1: have looked at Donald Trump to look at him among 60 00:03:09,880 --> 00:03:14,720 Speaker 1: Tesla owners and SpaceX fans and tech people and other 61 00:03:14,840 --> 00:03:17,600 Speaker 1: CEOs and people like Jeff Bezos, and he sort of 62 00:03:18,040 --> 00:03:20,799 Speaker 1: like opened the window to be like listen, like you know, 63 00:03:21,280 --> 00:03:24,160 Speaker 1: I'm I'm like all in on being mega. And he 64 00:03:24,320 --> 00:03:27,360 Speaker 1: did so many things, going to the Butler rally, speaking 65 00:03:27,400 --> 00:03:30,880 Speaker 1: at Madison Square Garden using X which he bought during 66 00:03:30,960 --> 00:03:34,680 Speaker 1: the midterms in twenty twenty two, to like really you know, 67 00:03:34,760 --> 00:03:37,600 Speaker 1: kind of ally with the Trump talking points, and so, 68 00:03:37,840 --> 00:03:39,840 Speaker 1: you know, it's hard to quantify what the impact was, 69 00:03:39,840 --> 00:03:40,880 Speaker 1: but it was enormous. 70 00:03:41,160 --> 00:03:43,960 Speaker 3: Yeah, I mean, I just think at the top line, 71 00:03:44,000 --> 00:03:46,440 Speaker 3: it was just a huge win for a guy who 72 00:03:46,560 --> 00:03:49,840 Speaker 3: obviously has had a lot of success in other domains 73 00:03:49,880 --> 00:03:53,520 Speaker 3: but not in politics. And and you know, you just 74 00:03:53,600 --> 00:03:59,320 Speaker 3: have to sort of appreciate how sort of brazen this was, 75 00:03:59,360 --> 00:04:02,560 Speaker 3: and how how bold you know in a way that 76 00:04:02,680 --> 00:04:05,560 Speaker 3: like I guess Elon Musk has has made his kind 77 00:04:05,560 --> 00:04:09,160 Speaker 3: of signature. I mean, he he went in bigger for 78 00:04:09,360 --> 00:04:13,200 Speaker 3: Donald Trump than I think anybody probably outside of like 79 00:04:13,360 --> 00:04:14,920 Speaker 3: this podcast. 80 00:04:14,720 --> 00:04:15,720 Speaker 2: Would have expected. 81 00:04:16,040 --> 00:04:20,159 Speaker 3: He went harder to the right then I think almost 82 00:04:20,160 --> 00:04:23,560 Speaker 3: anyone who's backed him or has you know, journalists who've 83 00:04:23,560 --> 00:04:28,279 Speaker 3: covered him expected, and it looked very dangerous. And and 84 00:04:28,360 --> 00:04:31,240 Speaker 3: now I mean he's he's sitting pretty you know how 85 00:04:31,320 --> 00:04:32,880 Speaker 3: much influence he had, you put that aside. 86 00:04:32,880 --> 00:04:33,880 Speaker 2: He backed the right horse. 87 00:04:34,320 --> 00:04:37,240 Speaker 1: Oh yeah, and you look at Tesla stock today is 88 00:04:37,279 --> 00:04:41,400 Speaker 1: like skyrocketing. And Musk was at mar A Lago last night. 89 00:04:41,440 --> 00:04:43,919 Speaker 1: I mean, I think what surprised me was that, you know, 90 00:04:44,000 --> 00:04:46,200 Speaker 1: you and I had been kind of like wargaming, like 91 00:04:46,320 --> 00:04:49,640 Speaker 1: the scenarios, and yesterday it was this really funny day 92 00:04:49,640 --> 00:04:52,160 Speaker 1: where Musk was supposed to have a town hall at 93 00:04:52,200 --> 00:04:54,360 Speaker 1: noon that like came and went and there was like 94 00:04:54,400 --> 00:04:56,480 Speaker 1: no sign of the town hall, and I was like, oh, 95 00:04:56,520 --> 00:04:58,400 Speaker 1: what's going on? And then all of a sudden, he's 96 00:04:58,400 --> 00:05:01,000 Speaker 1: like doing the town hall from his plane as he's 97 00:05:01,000 --> 00:05:05,320 Speaker 1: flying from you know, Texas where he voted to tomorrow Algo, 98 00:05:05,400 --> 00:05:07,920 Speaker 1: And I mean you and I were listening to that together, 99 00:05:08,000 --> 00:05:10,359 Speaker 1: Like he was sounding kind of cautious. He's like, well, like, 100 00:05:10,400 --> 00:05:13,640 Speaker 1: I'm optimistic that will prevail in Pennsylvania if like men 101 00:05:13,680 --> 00:05:16,560 Speaker 1: get out and vote, and like we're giving rides to 102 00:05:16,640 --> 00:05:19,400 Speaker 1: the Amish to make sure that they have transportation to 103 00:05:19,440 --> 00:05:21,960 Speaker 1: the polls because they're not allowed to drive themselves. And 104 00:05:22,000 --> 00:05:25,039 Speaker 1: I was like, Okay, this doesn't sound this doesn't sound 105 00:05:25,080 --> 00:05:26,680 Speaker 1: so great. Like I felt like he was sort of 106 00:05:27,360 --> 00:05:30,240 Speaker 1: spinning it as like not a potential loss, but like 107 00:05:30,279 --> 00:05:32,400 Speaker 1: he wasn't. I don't know he was being caught. He 108 00:05:32,440 --> 00:05:33,720 Speaker 1: was sort of being cautious. 109 00:05:33,360 --> 00:05:38,240 Speaker 3: For protecting confidence in any sense, right, it sounded he 110 00:05:38,360 --> 00:05:41,240 Speaker 3: was dower elon there on the flight tomorrow a Lago. 111 00:05:41,360 --> 00:05:43,640 Speaker 1: I thought, Yeah, I felt like he was being like 112 00:05:43,680 --> 00:05:46,440 Speaker 1: cautiously optimistic. And I think that this is the thing 113 00:05:46,520 --> 00:05:49,360 Speaker 1: about that that Tesla fans will say, like don't bet 114 00:05:49,400 --> 00:05:51,599 Speaker 1: against Elon, Like he will put all of his chips 115 00:05:51,640 --> 00:05:54,400 Speaker 1: on the table. When he has like conviction, he will 116 00:05:54,400 --> 00:05:56,440 Speaker 1: make a decision and stick to it and nothing will 117 00:05:56,440 --> 00:05:58,640 Speaker 1: sway him. And it might seem crazy from the outside, 118 00:05:58,640 --> 00:06:01,880 Speaker 1: but like he has veiled in business and technology and 119 00:06:01,920 --> 00:06:06,240 Speaker 1: capitalism and now basically being like an oligarch because he 120 00:06:06,279 --> 00:06:10,239 Speaker 1: does have this like conviction that is kind of fearless 121 00:06:10,560 --> 00:06:12,640 Speaker 1: in the in the business world, and it's like just 122 00:06:12,680 --> 00:06:15,440 Speaker 1: this fearlessness that he is right. And I think that 123 00:06:16,120 --> 00:06:17,960 Speaker 1: you know, what I would like people who listen to 124 00:06:17,960 --> 00:06:21,080 Speaker 1: this podcast to take away is that he bought Twitter 125 00:06:21,760 --> 00:06:24,400 Speaker 1: and then he basically had a massive influence on the election, 126 00:06:24,520 --> 00:06:27,080 Speaker 1: and the two go hand in hand obviously, And like 127 00:06:27,160 --> 00:06:30,599 Speaker 1: we live in a very increasingly fractured media environment and 128 00:06:30,640 --> 00:06:34,599 Speaker 1: you can't overstate the impact of Musk owning Twitter. 129 00:06:35,360 --> 00:06:37,599 Speaker 3: Yeah, I mean, the thing I was thinking of, there's 130 00:06:37,600 --> 00:06:39,320 Speaker 3: so much to talk about, and I'm sure we will 131 00:06:39,880 --> 00:06:41,880 Speaker 3: get to all of it, you know, on the coming 132 00:06:41,920 --> 00:06:44,560 Speaker 3: episodes and in the next episode of Citizen Elon and 133 00:06:45,000 --> 00:06:46,800 Speaker 3: probably for the next four years. 134 00:06:47,360 --> 00:06:48,880 Speaker 2: But like for me, you know, people have. 135 00:06:48,839 --> 00:06:53,160 Speaker 3: Been talking about the sort of money and politics. Basically 136 00:06:53,200 --> 00:06:57,119 Speaker 3: my entire life, and I feel like this is the 137 00:06:57,160 --> 00:07:00,440 Speaker 3: most It's like, this is like the most extreme version. 138 00:07:00,760 --> 00:07:02,240 Speaker 2: We have never seen anything like this. 139 00:07:02,400 --> 00:07:06,400 Speaker 3: You know, a lot of people during Trump's first presidency 140 00:07:06,480 --> 00:07:09,440 Speaker 3: became much more powerful. You know, Jared Kushner became more powerful, 141 00:07:09,440 --> 00:07:11,000 Speaker 3: Peter Tiel became more powerful. 142 00:07:11,320 --> 00:07:13,080 Speaker 2: Elon Musk before. 143 00:07:12,760 --> 00:07:15,320 Speaker 3: This was more powerful than any of those guys. And 144 00:07:15,840 --> 00:07:19,560 Speaker 3: now you know, he's vaulted to a level of influence 145 00:07:19,560 --> 00:07:21,680 Speaker 3: that I think you're right. I think we have to 146 00:07:21,800 --> 00:07:24,280 Speaker 3: sort of think about it in the in the oligarch terms. 147 00:07:24,320 --> 00:07:27,520 Speaker 3: He's both a state actor and a very very wealthy 148 00:07:27,560 --> 00:07:30,760 Speaker 3: capitalist and that's something that you know, Trump is going 149 00:07:30,840 --> 00:07:32,680 Speaker 3: to have to contend with, Democrats are going to have 150 00:07:32,720 --> 00:07:36,040 Speaker 3: to contend with, and you know, citizens of the United 151 00:07:36,080 --> 00:07:38,640 Speaker 3: States and the world will contend with over the next 152 00:07:38,640 --> 00:07:39,520 Speaker 3: four years. Well. 153 00:07:39,520 --> 00:07:42,600 Speaker 1: And he's really like a trans national or trans state actor, 154 00:07:42,720 --> 00:07:47,360 Speaker 1: Like he has incredible you know ties to China with 155 00:07:47,520 --> 00:07:50,400 Speaker 1: Starlink operates in one hundred and over one hundred countries. 156 00:07:50,480 --> 00:07:53,760 Speaker 1: He is, you know, getting lithium from from countries all 157 00:07:53,760 --> 00:07:56,360 Speaker 1: over the world, and he has an enormous amount of 158 00:07:56,400 --> 00:07:59,960 Speaker 1: power and leverage. And if you believe that Trump is transaction. 159 00:08:00,240 --> 00:08:01,800 Speaker 1: I mean, it's very clear that the two of them 160 00:08:01,840 --> 00:08:04,600 Speaker 1: are going to work together. I mean this and I 161 00:08:04,640 --> 00:08:06,880 Speaker 1: know we you know, people have joked about this whole 162 00:08:07,200 --> 00:08:10,320 Speaker 1: Department of Government efficiency and the cost cutting, but I 163 00:08:10,320 --> 00:08:12,320 Speaker 1: think it's very real. I mean, I think that Elon 164 00:08:12,480 --> 00:08:15,600 Speaker 1: is gonna really reshape the federal government and he's going 165 00:08:15,640 --> 00:08:18,000 Speaker 1: to have carte blanche to do so. The Republicans also 166 00:08:18,040 --> 00:08:20,360 Speaker 1: won the Senate. It looks like they might hang onto 167 00:08:20,400 --> 00:08:23,000 Speaker 1: the house like this is a guy who you know 168 00:08:23,560 --> 00:08:26,560 Speaker 1: is not shy about you know, walk. Yeah, I mean 169 00:08:26,840 --> 00:08:28,640 Speaker 1: the way that he has fired or let go of 170 00:08:28,640 --> 00:08:31,520 Speaker 1: people at his companies is could very be very similar 171 00:08:31,560 --> 00:08:34,200 Speaker 1: to the to the kind of way that he approaches 172 00:08:34,240 --> 00:08:35,000 Speaker 1: the federal government. 173 00:08:35,559 --> 00:08:37,400 Speaker 2: Yeah, let's talk about that for a minute. And I 174 00:08:37,400 --> 00:08:38,120 Speaker 2: think we need to. 175 00:08:38,440 --> 00:08:41,040 Speaker 3: It's really going to be more today a day, you know, 176 00:08:41,520 --> 00:08:44,120 Speaker 3: less than twelve hours after the election was called. We're 177 00:08:44,160 --> 00:08:47,160 Speaker 3: more just like starting to think about what questions are 178 00:08:47,160 --> 00:08:49,720 Speaker 3: going to be asked. We don't know that much. I 179 00:08:49,760 --> 00:08:53,120 Speaker 3: think the people who are on Trump's transition team don't 180 00:08:53,160 --> 00:08:55,679 Speaker 3: know that much. Right this the this is this stuff is. 181 00:08:55,640 --> 00:08:56,880 Speaker 2: Beginning right now. 182 00:08:57,320 --> 00:09:01,920 Speaker 3: Dan during the that that Twitter spaces that X space 183 00:09:02,000 --> 00:09:03,319 Speaker 3: is on the flight tomorrow. 184 00:09:03,360 --> 00:09:06,199 Speaker 2: Lago. So Elon Musk started the day in Texas. 185 00:09:06,480 --> 00:09:10,160 Speaker 3: He voted in South Texas where he has his little house, 186 00:09:10,200 --> 00:09:14,200 Speaker 3: you know, where SpaceX's launch facility is. He got on 187 00:09:14,200 --> 00:09:17,480 Speaker 3: the plane, he had this spaces They talked a lot 188 00:09:17,480 --> 00:09:20,320 Speaker 3: about the election and how it was going. There was 189 00:09:20,360 --> 00:09:22,640 Speaker 3: this moment I wanted to just put focus on for 190 00:09:22,679 --> 00:09:25,440 Speaker 3: a minute when Elon Musk talked about the America Pack 191 00:09:25,559 --> 00:09:26,040 Speaker 3: going forward. 192 00:09:26,240 --> 00:09:27,680 Speaker 2: Let's just listen to that tape. 193 00:09:27,920 --> 00:09:30,679 Speaker 4: So America Pack is is going to keep going to 194 00:09:30,720 --> 00:09:34,680 Speaker 4: out the selection and pre preparing for the mid terms 195 00:09:34,760 --> 00:09:40,559 Speaker 4: and any intermediate elections, as well as looking at elections 196 00:09:40,559 --> 00:09:43,880 Speaker 4: at the district attorney level and you know, basically a 197 00:09:43,920 --> 00:09:47,959 Speaker 4: judicial sort of level, because I think something needs to 198 00:09:48,000 --> 00:09:51,000 Speaker 4: be done to kind of counter the damage that Stars 199 00:09:51,080 --> 00:09:52,680 Speaker 4: is done to the American system. 200 00:09:53,160 --> 00:09:56,400 Speaker 3: Dana we called this, I mean right, this is the 201 00:09:56,440 --> 00:09:59,760 Speaker 3: America Pack is going to be a big political force 202 00:09:59,760 --> 00:10:00,360 Speaker 3: going forward. 203 00:10:00,360 --> 00:10:02,679 Speaker 2: That's what I take away from this, Uh this clip. 204 00:10:02,559 --> 00:10:04,520 Speaker 1: Oh yeah, this this was not a one off. And 205 00:10:04,600 --> 00:10:07,840 Speaker 1: when he's talking about Soros, he's he's obviously referring to 206 00:10:07,880 --> 00:10:12,400 Speaker 1: George Soros, the financier who has funded several campaigns, including 207 00:10:12,440 --> 00:10:16,559 Speaker 1: many progressive district attorneys and cities across the country, including 208 00:10:16,559 --> 00:10:18,600 Speaker 1: the one in Philadelphia that tried to kind of stop 209 00:10:18,640 --> 00:10:21,840 Speaker 1: the pack from giving the million dollar giveaways. So so 210 00:10:21,880 --> 00:10:24,120 Speaker 1: I think that what Musk is basically saying is, look, 211 00:10:24,240 --> 00:10:27,839 Speaker 1: money has always existed in politics. George Soros has funded 212 00:10:27,840 --> 00:10:30,520 Speaker 1: a lot of campaigns on the left. Musk sees himself 213 00:10:30,520 --> 00:10:34,760 Speaker 1: as like a countervailing uh point to that, Like, and 214 00:10:34,800 --> 00:10:36,720 Speaker 1: now he's it, He's in it. He's going to be 215 00:10:36,920 --> 00:10:39,079 Speaker 1: he's going to be eyeing the midterms. He's going to 216 00:10:39,120 --> 00:10:42,000 Speaker 1: be involved in local races. You know, I'm curious to 217 00:10:42,040 --> 00:10:44,320 Speaker 1: see if any people who work at as current companies 218 00:10:44,360 --> 00:10:46,320 Speaker 1: are now going to be dispatched to work at his pack. 219 00:10:46,360 --> 00:10:47,880 Speaker 1: I mean, he's he going to pick the best of 220 00:10:47,920 --> 00:10:50,959 Speaker 1: the brightest and be like you do the data analysis 221 00:10:50,760 --> 00:10:53,920 Speaker 1: on this on this precinct, Like, I mean, you know, 222 00:10:54,040 --> 00:10:56,200 Speaker 1: working for Elon means that you have to be willing 223 00:10:56,280 --> 00:10:57,920 Speaker 1: to kind of go wherever he wants you to go. 224 00:10:58,160 --> 00:11:00,800 Speaker 1: And it's almost like he started a seventh company. 225 00:11:01,240 --> 00:11:04,520 Speaker 3: Absolutely, And you know it's on one hand, you might say, 226 00:11:04,760 --> 00:11:07,120 Speaker 3: is he really going to spend you know, one hundred 227 00:11:07,120 --> 00:11:09,760 Speaker 3: plus million dollars every two years on politics, which is 228 00:11:09,840 --> 00:11:12,320 Speaker 3: kind of what you know, he's indicated he wants to 229 00:11:12,320 --> 00:11:15,920 Speaker 3: be the anti Soros. This this, this comment here suggests 230 00:11:15,920 --> 00:11:18,000 Speaker 3: to be a major donor. You might say, oh, like 231 00:11:18,040 --> 00:11:19,520 Speaker 3: Elon Musk is not gonna want to throw away that 232 00:11:19,600 --> 00:11:21,560 Speaker 3: much money. But you know, you look at the price 233 00:11:21,559 --> 00:11:25,240 Speaker 3: of Tesla's stock this morning, and as we're recording, it's 234 00:11:25,320 --> 00:11:28,920 Speaker 3: up thirteen and a half percent. Roughly he has he 235 00:11:29,000 --> 00:11:31,719 Speaker 3: has made his net worth has gone up by I 236 00:11:31,760 --> 00:11:34,840 Speaker 3: don't know, somewhere between ten and fifteen billion dollars just 237 00:11:34,880 --> 00:11:37,200 Speaker 3: in terms of his Tesla stock ownership as well. If 238 00:11:37,240 --> 00:11:39,040 Speaker 3: you just look at this as like a pure return 239 00:11:39,080 --> 00:11:42,560 Speaker 3: on investment, one hundred and eighty five million for fifteen billion, like, 240 00:11:42,600 --> 00:11:47,079 Speaker 3: it looks pretty good. 241 00:11:49,679 --> 00:11:52,679 Speaker 1: Trump's win was a decisive victory. I mean, there's no 242 00:11:52,840 --> 00:11:55,000 Speaker 1: split Like he won the popular vote, he won the 243 00:11:55,000 --> 00:11:58,360 Speaker 1: electoral college. There's no race that's still being contested. It 244 00:11:58,400 --> 00:12:01,280 Speaker 1: was a decisive win for Trump. He won across all 245 00:12:01,280 --> 00:12:05,320 Speaker 1: demographic groups except for black women. And you know that's like, 246 00:12:05,480 --> 00:12:08,000 Speaker 1: that's that's pretty striking, and that's that's that's something that 247 00:12:08,080 --> 00:12:10,720 Speaker 1: I don't think, you know, any of the pundit class 248 00:12:10,800 --> 00:12:13,840 Speaker 1: saw and and I think that this is also just 249 00:12:13,880 --> 00:12:16,880 Speaker 1: a win for X, like because Musk is really going 250 00:12:16,920 --> 00:12:21,480 Speaker 1: to position X as the leading platform for news. Now. Granted, 251 00:12:22,040 --> 00:12:24,520 Speaker 1: you know, we've written a lot here at Bloomberg about 252 00:12:24,520 --> 00:12:28,040 Speaker 1: the disinformation on that platform, but it is a hugely 253 00:12:28,080 --> 00:12:31,480 Speaker 1: influential platform, and it's like a win. It's just a 254 00:12:31,559 --> 00:12:34,040 Speaker 1: huge win for Elon that the platform exists, that he 255 00:12:34,080 --> 00:12:36,680 Speaker 1: was able to buy it, even though advertisers have left 256 00:12:36,679 --> 00:12:39,520 Speaker 1: and a lot of high value users have left. It 257 00:12:39,000 --> 00:12:43,439 Speaker 1: is now going to be driving the conversation in Trump World, 258 00:12:43,679 --> 00:12:46,200 Speaker 1: and it's almost kind of become what Truth's social never 259 00:12:46,320 --> 00:12:47,640 Speaker 1: quite fully realized. 260 00:12:48,200 --> 00:12:50,960 Speaker 3: So, Dana, what do we think is actually going to happen, 261 00:12:52,280 --> 00:12:55,520 Speaker 3: you know now? Like like, I mean, obviously Elon Musk, 262 00:12:56,040 --> 00:12:58,560 Speaker 3: Donald Trump does not become present till early next year, 263 00:12:58,960 --> 00:13:03,360 Speaker 3: you know, I assume Elon Musk doesn't start his job 264 00:13:03,720 --> 00:13:05,320 Speaker 3: or it's not even clear if he has a job 265 00:13:05,480 --> 00:13:08,160 Speaker 3: within the Trump White House yet. I mean, what are 266 00:13:08,200 --> 00:13:11,880 Speaker 3: you going to be looking for over the next month 267 00:13:12,040 --> 00:13:14,640 Speaker 3: or so to try to figure out what he's planning 268 00:13:14,640 --> 00:13:17,720 Speaker 3: on doing and how his sort of promises are actually 269 00:13:17,720 --> 00:13:20,320 Speaker 3: going to translate into I guess policy. 270 00:13:20,679 --> 00:13:20,959 Speaker 4: Yeah. 271 00:13:21,000 --> 00:13:23,280 Speaker 1: So at the when we were at Madison Square Garden together, 272 00:13:23,360 --> 00:13:26,000 Speaker 1: I was kind of struck by the fact that Howard Lutnik, 273 00:13:26,040 --> 00:13:29,240 Speaker 1: who is the chair of the Transition Team, introduced Musk 274 00:13:29,480 --> 00:13:33,720 Speaker 1: as his DOGE co chair. So I think that Lutnik 275 00:13:33,920 --> 00:13:36,959 Speaker 1: and Musk together are going to kind of chair this commission. 276 00:13:37,640 --> 00:13:39,960 Speaker 1: It's not going to be a cabinet level thing, because 277 00:13:40,080 --> 00:13:42,839 Speaker 1: Musk doesn't want to have to unwind his investments in 278 00:13:42,880 --> 00:13:45,160 Speaker 1: all of his companies. But it's so it's not like 279 00:13:45,200 --> 00:13:47,319 Speaker 1: a center, it's not like a cabinet level. But I 280 00:13:47,320 --> 00:13:49,280 Speaker 1: think they're going to co chair this thing, and they're 281 00:13:49,280 --> 00:13:51,280 Speaker 1: going to take a look at the more than four 282 00:13:51,320 --> 00:13:54,800 Speaker 1: hundred federal agencies and the overlap between them, and they're 283 00:13:54,840 --> 00:13:57,600 Speaker 1: gonna cut I mean, they're talking about cutting two trillion 284 00:13:57,640 --> 00:14:01,079 Speaker 1: from the budget. That is an enormous that is it. 285 00:14:01,320 --> 00:14:04,040 Speaker 1: That is an enormous cut. So you know how that 286 00:14:04,080 --> 00:14:06,240 Speaker 1: will work a practice, I don't really know. I'm sort 287 00:14:06,280 --> 00:14:09,520 Speaker 1: of starting to think about which agencies might come under musks, 288 00:14:10,040 --> 00:14:11,920 Speaker 1: you know, might come under fire. I think that the 289 00:14:11,960 --> 00:14:14,199 Speaker 1: Department of Education is one that Musk is going to 290 00:14:14,240 --> 00:14:16,880 Speaker 1: look at pretty carefully. I think that he probably has 291 00:14:16,880 --> 00:14:19,840 Speaker 1: some thoughts about Nitze and the securities in Exchange Commission 292 00:14:19,920 --> 00:14:23,680 Speaker 1: and the FTC and the FCC and the Fish and 293 00:14:23,720 --> 00:14:26,800 Speaker 1: Wildlife Service and the FAA. I mean, he's he's openly 294 00:14:26,840 --> 00:14:27,760 Speaker 1: said that he thinks. 295 00:14:27,680 --> 00:14:30,600 Speaker 3: You're naming agencies that he has tangled with in the past, 296 00:14:30,840 --> 00:14:33,480 Speaker 3: which is it's a long list to be fair, I mean, 297 00:14:33,520 --> 00:14:36,040 Speaker 3: if you cut all those agencies that have had a 298 00:14:36,080 --> 00:14:38,600 Speaker 3: beef with Musk, you you wouldn't have much of an 299 00:14:38,600 --> 00:14:39,360 Speaker 3: executive branch. 300 00:14:39,600 --> 00:14:40,480 Speaker 2: I mean, I. 301 00:14:40,320 --> 00:14:44,080 Speaker 3: Think so so so I just two points and two things, 302 00:14:44,120 --> 00:14:48,840 Speaker 3: like I am watching. One is like this stuff, especially 303 00:14:48,880 --> 00:14:50,800 Speaker 3: the kinds of things you're talking about, like oh, cutting 304 00:14:50,800 --> 00:14:53,400 Speaker 3: the Department of Education or cutting two trillion dollars from 305 00:14:53,480 --> 00:14:56,960 Speaker 3: the federal budget, that's like going to be incredibly unpopular 306 00:14:57,520 --> 00:15:01,000 Speaker 3: and also like difficult to ex if you even could 307 00:15:01,080 --> 00:15:02,920 Speaker 3: do it. That's not to say like some of this 308 00:15:02,960 --> 00:15:04,840 Speaker 3: stuff couldn't happen. I mean, I think one thing we 309 00:15:04,920 --> 00:15:08,000 Speaker 3: learned over this election is that Elon Musk and Donald 310 00:15:08,040 --> 00:15:12,920 Speaker 3: Trump are really good at taking unpopular positions and finding 311 00:15:12,960 --> 00:15:15,640 Speaker 3: a constituency and like if you have a passionate but 312 00:15:15,760 --> 00:15:20,080 Speaker 3: small constituency for some position, they managed to transform that, 313 00:15:20,320 --> 00:15:22,840 Speaker 3: you know, into a successful presidential campaign. 314 00:15:23,000 --> 00:15:24,000 Speaker 2: You know, we did an. 315 00:15:23,760 --> 00:15:27,160 Speaker 3: Episode of this podcast, I don't know eight months ago 316 00:15:27,360 --> 00:15:31,200 Speaker 3: talking about how unpopular Elon Musk was with with with 317 00:15:31,240 --> 00:15:34,360 Speaker 3: the electorate. And you can look at Donald Trump's polling 318 00:15:34,440 --> 00:15:37,400 Speaker 3: numbers and they weren't super great going into this election. 319 00:15:37,560 --> 00:15:40,200 Speaker 3: So so I think, you know, it's possible that the 320 00:15:40,520 --> 00:15:42,560 Speaker 3: sort of marketing genius of these two men will turn 321 00:15:42,600 --> 00:15:43,120 Speaker 3: things around. 322 00:15:43,240 --> 00:15:46,880 Speaker 2: But I think the thing that I am more focused on. 323 00:15:46,840 --> 00:15:49,160 Speaker 3: Is sort of the last part of what you said, Like, 324 00:15:49,560 --> 00:15:51,920 Speaker 3: there are going to be questions about who should run 325 00:15:52,000 --> 00:15:55,120 Speaker 3: the SEC, who should run the FTC, should those should 326 00:15:55,160 --> 00:16:00,680 Speaker 3: those policies be more favorable to business to tech businesses, 327 00:16:00,720 --> 00:16:04,040 Speaker 3: and in particular to one tech entrepreneur, Elon Musk, And 328 00:16:04,040 --> 00:16:07,040 Speaker 3: I think we should expect Elon to exercise a real 329 00:16:07,080 --> 00:16:09,760 Speaker 3: influence there. He has already said, you know, he's already 330 00:16:09,800 --> 00:16:12,280 Speaker 3: talked about trying to push Lena Khan, the chair of 331 00:16:12,280 --> 00:16:14,800 Speaker 3: the FTC, out, I think there's an expectation he would 332 00:16:14,840 --> 00:16:18,600 Speaker 3: definitely go after Gary Gensler, the head of the SEC. 333 00:16:18,840 --> 00:16:21,600 Speaker 3: So so that I think that is kind of like 334 00:16:21,720 --> 00:16:25,400 Speaker 3: the more immediate thing. And then you know, who knows 335 00:16:25,520 --> 00:16:28,320 Speaker 3: I mean, this guy has tried crazy stuff in the past, 336 00:16:28,320 --> 00:16:30,000 Speaker 3: stuff that that I think a lot of people didn't 337 00:16:30,040 --> 00:16:32,040 Speaker 3: expect and and and that could certainly happen. 338 00:16:32,440 --> 00:16:34,560 Speaker 1: Yeah, I mean he's also called for the for the 339 00:16:34,560 --> 00:16:36,680 Speaker 1: head of the FAA to resign. I mean, he's got 340 00:16:36,800 --> 00:16:39,880 Speaker 1: you know, and I think what's I guess what concerns 341 00:16:39,920 --> 00:16:44,080 Speaker 1: me as a citizen is that Muskin Trump hold grudges. 342 00:16:44,120 --> 00:16:46,520 Speaker 1: I mean, these are men who will never forget the 343 00:16:46,560 --> 00:16:49,000 Speaker 1: snubs and the slights that they have endured throughout their 344 00:16:49,040 --> 00:16:51,320 Speaker 1: careers when they were doubted and as you have have 345 00:16:51,520 --> 00:16:55,040 Speaker 1: you know, spoken so eloquently on on citizen Elon, you know, 346 00:16:55,080 --> 00:16:57,680 Speaker 1: the snub with Biden not inviting him to the EV 347 00:16:57,760 --> 00:16:59,960 Speaker 1: summit like that, that kind of helped to kick off 348 00:17:00,080 --> 00:17:02,600 Speaker 1: this whole thing. And so I just think that there's 349 00:17:02,640 --> 00:17:05,159 Speaker 1: gonna be some retribution involved in terms of, you know, 350 00:17:05,200 --> 00:17:08,120 Speaker 1: which agencies have been the biggest thorn in Elon's side 351 00:17:08,280 --> 00:17:11,480 Speaker 1: and back to the Department of Education. This is another 352 00:17:11,840 --> 00:17:13,800 Speaker 1: kind of trove that we need to need to get 353 00:17:13,840 --> 00:17:16,080 Speaker 1: into more. But if you look at food donated to 354 00:17:16,480 --> 00:17:19,400 Speaker 1: Musk's pack, most of the money came from Musk himself 355 00:17:19,480 --> 00:17:22,640 Speaker 1: and then other friends from Silicon Valley, like Sham Maguire, 356 00:17:23,240 --> 00:17:27,760 Speaker 1: Doug Leone from Sequoia. Antonio Gracias also donated, but like 357 00:17:27,800 --> 00:17:30,800 Speaker 1: Betsy Devas donated to the America Pack like she's the 358 00:17:30,840 --> 00:17:33,880 Speaker 1: former Secretary of Education. So there's there's some very interesting 359 00:17:33,920 --> 00:17:36,960 Speaker 1: bedfellows happening. And I think it's going to take an 360 00:17:37,119 --> 00:17:41,040 Speaker 1: enormous amount of journalism and investigative reporting to really figure 361 00:17:41,040 --> 00:17:42,440 Speaker 1: out what's going on now. 362 00:17:43,240 --> 00:17:47,280 Speaker 2: And podcasting, and we will and will be there. We 363 00:17:47,320 --> 00:17:51,120 Speaker 2: will be every Tuesday to catalog it and to interpret it. 364 00:17:51,520 --> 00:17:53,120 Speaker 3: You know, I think there are going to be tons 365 00:17:53,160 --> 00:17:56,399 Speaker 3: of questions both for the businesses, for the stock market, 366 00:17:56,560 --> 00:17:58,280 Speaker 3: and of course for the government in the in the 367 00:17:58,280 --> 00:17:59,200 Speaker 3: weeks and months that follow. 368 00:17:59,280 --> 00:18:01,119 Speaker 2: Dana, thanks thanks for joining us. Hope you can get 369 00:18:01,160 --> 00:18:01,560 Speaker 2: some sleep. 370 00:18:01,840 --> 00:18:02,560 Speaker 1: Always a pleasure. 371 00:18:03,200 --> 00:18:13,200 Speaker 3: I'll see you on Slack in five minutes. This episode 372 00:18:13,200 --> 00:18:16,520 Speaker 3: was produced by Stacy Wong. Anna Maserakis is our editor 373 00:18:16,640 --> 00:18:19,760 Speaker 3: and Rayhan Harmanci our senior editor. The idea for this 374 00:18:19,920 --> 00:18:23,359 Speaker 3: very show also came from Rayhan Blake Maple's Handles Engineering 375 00:18:23,520 --> 00:18:27,440 Speaker 3: and Emma Sanchez fact checks. Our supervising producer is Magnus Henrickson. 376 00:18:27,720 --> 00:18:30,680 Speaker 3: The Elani theme is written and performed by Taka Yazuzawa 377 00:18:30,760 --> 00:18:34,640 Speaker 3: and Alex Sigierra. Brendan Francis, Neonham is our executive producer, 378 00:18:34,680 --> 00:18:36,160 Speaker 3: and Sage Bauman is the head. 379 00:18:35,960 --> 00:18:38,800 Speaker 2: Of pinwik Podcasts. A big thanks to our supporters Joel 380 00:18:38,800 --> 00:18:40,879 Speaker 2: Webber and Bradstone. I'm Max Chafkin. 381 00:18:40,960 --> 00:18:42,680 Speaker 3: If you have a minute, rate and review our show, 382 00:18:42,720 --> 00:18:45,520 Speaker 3: it'll help other listeners find us. We'll see you next week.