1 00:00:02,480 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:07,920 --> 00:00:09,520 Speaker 2: Let me tell you we have a new star. 3 00:00:10,520 --> 00:00:14,680 Speaker 3: A star is born Elon mars Juson Kennemy. 4 00:00:14,880 --> 00:00:18,440 Speaker 4: He is the Thomas Edison plus plus plus of our age. 5 00:00:18,600 --> 00:00:21,040 Speaker 1: Probably his whole life is from a position of insecurity. 6 00:00:21,040 --> 00:00:21,800 Speaker 1: I feel for the guy. 7 00:00:22,040 --> 00:00:25,279 Speaker 5: I would say ninety eight percent really appreciate what he does. 8 00:00:25,400 --> 00:00:28,440 Speaker 5: But those two percent that are nasty, they are I'll 9 00:00:28,560 --> 00:00:30,000 Speaker 5: pay in four fos. 10 00:00:30,280 --> 00:00:32,280 Speaker 1: We were meant for great things in the United States 11 00:00:32,320 --> 00:00:36,400 Speaker 1: of America, and Elon reminds us of that we don't 12 00:00:36,440 --> 00:00:46,840 Speaker 1: have a fourth branch of governments called Elon Musk. Welcome 13 00:00:46,880 --> 00:00:50,920 Speaker 1: to elan Ing, Bloomberg's weekly podcast about Elon Musk. It's Tuesday, 14 00:00:51,040 --> 00:00:56,040 Speaker 1: March eleventh. I'm your host, David Popadopolis. So this is 15 00:00:56,080 --> 00:00:59,320 Speaker 1: what a bad week looks like. I mean a very 16 00:00:59,440 --> 00:01:03,000 Speaker 1: very bad week for Elon. Not only has Tesla stock 17 00:01:03,080 --> 00:01:07,280 Speaker 1: continued a crater it dropped fifteen percent on Monday alone, 18 00:01:08,280 --> 00:01:10,640 Speaker 1: but he seems to be losing on all fronts right now. 19 00:01:11,280 --> 00:01:15,160 Speaker 1: X was hit by sporadic outages Monday that Elon blamed 20 00:01:15,200 --> 00:01:18,360 Speaker 1: on hackers. A SpaceX rocket blow up, rain debris and 21 00:01:18,400 --> 00:01:22,320 Speaker 1: grounded flights at airports in Florida. Doge is running into 22 00:01:22,360 --> 00:01:25,120 Speaker 1: more and more roadblocks from both the courts and from 23 00:01:25,160 --> 00:01:28,880 Speaker 1: within the Trump administration itself. Mosk, through it all, is 24 00:01:28,920 --> 00:01:31,800 Speaker 1: putting on a brave face, setting his sights on bigger 25 00:01:31,800 --> 00:01:34,080 Speaker 1: and boulder things for Doge to cut from the budget. 26 00:01:34,600 --> 00:01:37,520 Speaker 1: But has he backed himself into a corner. Here to 27 00:01:37,600 --> 00:01:41,200 Speaker 1: discuss all this, we have our trusty muscologists, Max Chaffkin 28 00:01:41,240 --> 00:01:44,959 Speaker 1: and Dana Hall. Hello to you both, Hey, David, Dana, 29 00:01:45,000 --> 00:01:46,360 Speaker 1: how are you good? 30 00:01:46,400 --> 00:01:47,520 Speaker 4: Good? Good to be here? 31 00:01:47,800 --> 00:01:50,480 Speaker 1: Okay? And then later on in the episode, Bloomberg Stocks 32 00:01:50,560 --> 00:01:53,680 Speaker 1: reporter Esha Day will join us to talk all about 33 00:01:53,760 --> 00:01:59,800 Speaker 1: Tesla's free fall. Okay, Dana, So let's start by going 34 00:02:00,320 --> 00:02:02,360 Speaker 1: a little bit to the tail end of last week 35 00:02:02,560 --> 00:02:05,000 Speaker 1: for those who may have missed it. There was a 36 00:02:05,160 --> 00:02:09,440 Speaker 1: cabinet meeting in Washington that Musk attended and it got 37 00:02:09,480 --> 00:02:11,600 Speaker 1: a little sporty. Tell us what happened. 38 00:02:11,840 --> 00:02:14,080 Speaker 4: Yeah, So what was interesting is that this cabinet meeting 39 00:02:14,160 --> 00:02:17,880 Speaker 4: was not on the president's daily schedule. But Sean Duffy, 40 00:02:17,960 --> 00:02:21,240 Speaker 4: the Transportation Secretary, posted on x that he was like 41 00:02:21,320 --> 00:02:23,560 Speaker 4: headed into a cabinet meeting, And so we were like, wait, what, 42 00:02:23,680 --> 00:02:26,800 Speaker 4: there's a cabinet meeting, And then The New York Times 43 00:02:26,840 --> 00:02:31,280 Speaker 4: reported that the things got pretty spicy. Apparently there was 44 00:02:31,320 --> 00:02:35,440 Speaker 4: like a testy exchange between Musk and Marco Ribio about 45 00:02:35,480 --> 00:02:38,519 Speaker 4: cuts at the Department of State, and then you know, 46 00:02:38,600 --> 00:02:41,040 Speaker 4: Musk was basically saying that these guys weren't cutting fast 47 00:02:41,120 --> 00:02:43,480 Speaker 4: enough or deep enough, and then there was sort of 48 00:02:43,480 --> 00:02:46,320 Speaker 4: pushback from the cabinets. Duffy was saying, you know, you 49 00:02:46,360 --> 00:02:48,600 Speaker 4: want me to fire all these air traffic controllers and 50 00:02:48,639 --> 00:02:51,360 Speaker 4: I've got planes falling out of the sky. And The 51 00:02:51,360 --> 00:02:53,640 Speaker 4: New York Times reported that that Trump was kind of 52 00:02:53,639 --> 00:02:56,320 Speaker 4: like watching these exchanges, ping pong back and forth, like 53 00:02:56,440 --> 00:02:58,760 Speaker 4: almost like he was watching a tennis match, and then 54 00:02:59,160 --> 00:03:02,600 Speaker 4: the kind of upshe is that Trump then basically said 55 00:03:02,639 --> 00:03:05,880 Speaker 4: that Doge is like an advisor, but that the deep 56 00:03:05,960 --> 00:03:09,160 Speaker 4: cuts are, you know, in the province of the Cabinet secretary. 57 00:03:09,240 --> 00:03:09,680 Speaker 3: So there's like a. 58 00:03:09,680 --> 00:03:11,240 Speaker 4: Little bit of a power struggle going on. 59 00:03:11,360 --> 00:03:11,560 Speaker 3: You know. 60 00:03:11,600 --> 00:03:14,920 Speaker 4: Obviously I wasn't at the meeting, would love a readout 61 00:03:14,960 --> 00:03:16,960 Speaker 4: if you were, but it's just like the sort of 62 00:03:16,960 --> 00:03:20,120 Speaker 4: the first sign that there is tension between Musk and 63 00:03:20,160 --> 00:03:23,399 Speaker 4: the Cabinet secretaries about how these agencies are basically being 64 00:03:23,440 --> 00:03:24,600 Speaker 4: overtaken by Doge. 65 00:03:24,840 --> 00:03:28,280 Speaker 3: Yeah, and just add one think, Trump after this meeting 66 00:03:28,880 --> 00:03:31,480 Speaker 3: did a truth which is, you know, the truth social 67 00:03:31,560 --> 00:03:35,200 Speaker 3: version of a tweet Nique a Nicks. And he essentially said, 68 00:03:35,320 --> 00:03:36,880 Speaker 3: we're not going to use a hatchet. We're going to 69 00:03:37,000 --> 00:03:42,360 Speaker 3: use a scalpel, which feels like a implicit rebuke or 70 00:03:42,360 --> 00:03:45,040 Speaker 3: correction or something to Elon Musk. Of course, in the 71 00:03:45,040 --> 00:03:47,880 Speaker 3: next paragraph he talked all about how great a job 72 00:03:48,080 --> 00:03:51,560 Speaker 3: Elon Musk is doing, and Musk when he posted this, 73 00:03:52,480 --> 00:03:55,240 Speaker 3: he only posted a portion of the truth. He posted 74 00:03:55,240 --> 00:03:58,440 Speaker 3: the second paragraph, not the one about the scalpel. 75 00:03:58,720 --> 00:04:02,480 Speaker 4: It's fascinating that we've gone from Musk wielding a chainsaw 76 00:04:02,960 --> 00:04:06,640 Speaker 4: at SAPAC to Trump saying we're not going to use 77 00:04:06,680 --> 00:04:08,560 Speaker 4: a hatchet, We're going to use a scalpel. So like 78 00:04:08,600 --> 00:04:11,600 Speaker 4: what's next, like tweezers, like we're going down We're going 79 00:04:11,640 --> 00:04:14,960 Speaker 4: downstream in terms of like the size and scope of 80 00:04:15,000 --> 00:04:16,480 Speaker 4: the of the implement. 81 00:04:16,120 --> 00:04:20,560 Speaker 1: Here, clearly here max hard to interpret this any other way. 82 00:04:20,880 --> 00:04:23,479 Speaker 1: Even though the reporting from inside the room that we 83 00:04:23,560 --> 00:04:26,320 Speaker 1: saw in The Times and in other places, mostly the Times, 84 00:04:26,960 --> 00:04:31,599 Speaker 1: did make it clear that Musk certainly counterpunched and was 85 00:04:31,720 --> 00:04:34,679 Speaker 1: effective to a degree, but it's really hard to interpret 86 00:04:34,720 --> 00:04:37,680 Speaker 1: it any other way than it was a defeat and 87 00:04:37,720 --> 00:04:39,480 Speaker 1: a setback for his endeavor. 88 00:04:40,240 --> 00:04:45,000 Speaker 3: I think Musk has struggled to some extent to transition 89 00:04:45,200 --> 00:04:48,400 Speaker 3: from the kind of realities of campaigning, and even in 90 00:04:48,440 --> 00:04:54,039 Speaker 3: the transition, when there weren't these Senate confirmed appointees taking 91 00:04:54,080 --> 00:04:57,440 Speaker 3: responsibility for these agencies. So like, what's changed now is 92 00:04:57,480 --> 00:05:00,279 Speaker 3: you have Marco Rubio in charge of the Department State, 93 00:05:00,320 --> 00:05:02,680 Speaker 3: Shawn Duffy in charge of the Department of Transportation. If 94 00:05:02,680 --> 00:05:07,000 Speaker 3: a plane crashes tomorrow, God forbid, Shaw Duffy is the 95 00:05:07,000 --> 00:05:09,520 Speaker 3: one who's gonna have to answer questions, not Elon Musk, 96 00:05:09,560 --> 00:05:11,640 Speaker 3: no matter what Elon Musk does, no matter how you know, 97 00:05:11,640 --> 00:05:14,479 Speaker 3: what his influence is. And that is creating pressure on 98 00:05:14,560 --> 00:05:18,679 Speaker 3: these cabinet appointees, which is now a counterweight to Elon Musk. 99 00:05:18,720 --> 00:05:20,480 Speaker 3: And I think so, and I think that's what we're seeing. 100 00:05:21,080 --> 00:05:24,000 Speaker 3: This was inevitable, this was going to happen, and here 101 00:05:24,000 --> 00:05:26,839 Speaker 3: we are it is happening because of course, none of 102 00:05:26,839 --> 00:05:29,839 Speaker 3: these Cabinet secretary, as much as they agree maybe in 103 00:05:29,920 --> 00:05:33,880 Speaker 3: principle with the idea of cutting government spending. None of 104 00:05:33,920 --> 00:05:37,000 Speaker 3: them want their departments to be cut too much, and 105 00:05:37,000 --> 00:05:39,839 Speaker 3: they're going to be concerned, especially given musks, you know, 106 00:05:39,960 --> 00:05:44,200 Speaker 3: pension for willy nilly, you know, cut now, ask questions later. 107 00:05:44,320 --> 00:05:47,640 Speaker 1: So, Dana, it strikes me that what we're seeing a 108 00:05:47,720 --> 00:05:52,120 Speaker 1: little bit here is the classic musk of putting my 109 00:05:52,240 --> 00:05:56,200 Speaker 1: head down. I'm just efing going for it. Balls to 110 00:05:56,279 --> 00:05:58,600 Speaker 1: the wall, to hell with everyone. We're just going to 111 00:05:58,680 --> 00:06:00,840 Speaker 1: go full speed ahead and just see what that what 112 00:06:00,880 --> 00:06:03,760 Speaker 1: the hell comes out of it. All that may work 113 00:06:03,800 --> 00:06:06,560 Speaker 1: to a certain degree at Tesla, at X and at 114 00:06:06,600 --> 00:06:10,120 Speaker 1: other places, but right as Max is getting out here, 115 00:06:10,279 --> 00:06:12,920 Speaker 1: the political reality of trying to do that in Washington, 116 00:06:13,040 --> 00:06:15,200 Speaker 1: it's just a it's just a different dynamic. 117 00:06:15,640 --> 00:06:15,880 Speaker 5: Yeah. 118 00:06:16,040 --> 00:06:18,840 Speaker 4: But he's also it's also making him dig in even 119 00:06:18,880 --> 00:06:22,080 Speaker 4: more because he's saying things like, well, it's like the 120 00:06:22,120 --> 00:06:25,560 Speaker 4: ideas that the quote unquote deeed State is squealing and 121 00:06:25,640 --> 00:06:28,680 Speaker 4: like you know, all of the Democrats who are in 122 00:06:28,720 --> 00:06:31,440 Speaker 4: on this or of course they're responding, and that he's 123 00:06:31,480 --> 00:06:34,520 Speaker 4: fabricated this whole thing in his mind where you know, 124 00:06:34,600 --> 00:06:37,960 Speaker 4: the media and the NGOs and government employees and federal 125 00:06:38,000 --> 00:06:41,400 Speaker 4: workers and contractors and George Soros are like all in 126 00:06:41,480 --> 00:06:44,960 Speaker 4: on this, like massive grift that he alone is like 127 00:06:45,120 --> 00:06:50,320 Speaker 4: untangling for the world. But it is fundamentally like a 128 00:06:50,400 --> 00:06:54,480 Speaker 4: misunderstanding of how bureaucracy works and how you know many 129 00:06:54,520 --> 00:06:56,520 Speaker 4: of these people are lifelong civil servants. 130 00:06:56,760 --> 00:07:00,000 Speaker 1: Yeah, so we actually have him, Dana in his own 131 00:07:00,160 --> 00:07:04,200 Speaker 1: words here he is speaking on Fox Business with Larry Kudlow. 132 00:07:04,360 --> 00:07:05,000 Speaker 1: Let's listen to that. 133 00:07:05,360 --> 00:07:08,160 Speaker 5: You're giving up your other stuff? I mean, how are 134 00:07:08,160 --> 00:07:10,080 Speaker 5: you running your other businesses. 135 00:07:11,280 --> 00:07:15,160 Speaker 2: With great difficulty? Yeah, I mean that. 136 00:07:15,160 --> 00:07:16,200 Speaker 5: There's no turning back. 137 00:07:16,240 --> 00:07:22,040 Speaker 2: You're saying, I'm just here trying to make government more efficient. 138 00:07:22,800 --> 00:07:25,520 Speaker 1: Okay, So Max, I know I said at the top 139 00:07:25,720 --> 00:07:28,080 Speaker 1: that Musk is putting a brave face on it all. 140 00:07:28,560 --> 00:07:30,960 Speaker 1: But man, those were some deep size. 141 00:07:31,160 --> 00:07:33,360 Speaker 3: You know, he does this and like that part. 142 00:07:33,400 --> 00:07:35,520 Speaker 1: Do you think it's just for you think it's it's No. 143 00:07:36,480 --> 00:07:39,080 Speaker 3: I think it's both a performance, but I think it 144 00:07:39,160 --> 00:07:42,560 Speaker 3: is also genuine, right, Like, I mean, obviously he is 145 00:07:42,640 --> 00:07:47,320 Speaker 3: struggling to run his companies and do the job that 146 00:07:47,360 --> 00:07:51,360 Speaker 3: he's doing, as his comments indicate. I do think that 147 00:07:51,440 --> 00:07:55,440 Speaker 3: there are ways in which the kind of the sort 148 00:07:55,480 --> 00:07:58,200 Speaker 3: of practical ins and outs of what he's trying to 149 00:07:58,200 --> 00:08:01,080 Speaker 3: do in government, and also the kind of impression, the 150 00:08:01,120 --> 00:08:03,400 Speaker 3: branding of what he's trying to do conflicts with who 151 00:08:03,400 --> 00:08:06,120 Speaker 3: he is. Like his thing in the past has been 152 00:08:06,560 --> 00:08:10,640 Speaker 3: putting himself almost deliberately into these crises and sleeping on 153 00:08:10,680 --> 00:08:14,680 Speaker 3: the floor, which you know, dramatically right. But now like suddenly, 154 00:08:14,760 --> 00:08:17,760 Speaker 3: this this performance is coming off a little bit differently, 155 00:08:18,000 --> 00:08:22,040 Speaker 3: partly because what he's doing is just like fundamentally not 156 00:08:22,080 --> 00:08:26,239 Speaker 3: gonna be as popular as building an awesome, super fast, 157 00:08:26,360 --> 00:08:29,320 Speaker 3: super cool electric car, you know, or whatever, and or 158 00:08:29,640 --> 00:08:33,360 Speaker 3: taking the planet in mars, like like being really good 159 00:08:33,679 --> 00:08:37,480 Speaker 3: at like cutting parts of the federal budget, even if 160 00:08:37,520 --> 00:08:39,319 Speaker 3: you're awesome at it, even if there's none of the 161 00:08:39,760 --> 00:08:42,280 Speaker 3: sort of negative press, even if you don't accidentally fire 162 00:08:42,559 --> 00:08:45,440 Speaker 3: you know, a bunch of nuclear engineers or air traffic controllers, 163 00:08:45,520 --> 00:08:47,560 Speaker 3: Like I still think it's just inherently not gonna be 164 00:08:47,960 --> 00:08:52,520 Speaker 3: as cool. And then when he admits like, yeah, it's tough, 165 00:08:52,760 --> 00:08:55,120 Speaker 3: Like if I'm an investor in one of these other companies, 166 00:08:55,760 --> 00:08:58,360 Speaker 3: like ooh, this is gonna give me a feeling that 167 00:08:58,520 --> 00:09:00,800 Speaker 3: is not great. It's gonna confirm some of maybe my 168 00:09:00,960 --> 00:09:04,440 Speaker 3: worst fears about what where this thing is leading where 169 00:09:04,679 --> 00:09:07,640 Speaker 3: Musk is at once distracted so that he's not spending 170 00:09:07,640 --> 00:09:10,160 Speaker 3: as much time with the companies as he once did obviously, 171 00:09:10,440 --> 00:09:13,000 Speaker 3: but also eroding his brand. And I'm just sort of 172 00:09:13,000 --> 00:09:16,400 Speaker 3: watching my investments lose value day by day. 173 00:09:16,640 --> 00:09:21,000 Speaker 1: Yeah, So, Dana, those size bring me to a question 174 00:09:21,080 --> 00:09:23,280 Speaker 1: that I meant to and failed to ask last week. 175 00:09:23,320 --> 00:09:27,120 Speaker 1: So I will ask you it now. Elon Musk, knowing 176 00:09:27,200 --> 00:09:31,040 Speaker 1: what he knows now, had he known this on oh, 177 00:09:31,120 --> 00:09:34,600 Speaker 1: I don't know, say June the first of last year, 178 00:09:35,160 --> 00:09:39,520 Speaker 1: or October the first of last year, or November fifth, 179 00:09:40,440 --> 00:09:43,319 Speaker 1: would he say yes to doing it all over again? 180 00:09:44,480 --> 00:09:44,720 Speaker 2: Yes? 181 00:09:44,840 --> 00:09:47,360 Speaker 4: I mean this is why he donated to Trump's campaign 182 00:09:47,520 --> 00:09:50,520 Speaker 4: and he pitched this idea. Like Elon Musk has has 183 00:09:50,520 --> 00:09:54,440 Speaker 4: always been driven by two goals, getting to Mars and 184 00:09:54,559 --> 00:09:58,320 Speaker 4: getting rid of regulation. Those are that is what is 185 00:09:58,400 --> 00:10:01,400 Speaker 4: driving him. Maybe he didn't expected to be so bumpy. 186 00:10:01,760 --> 00:10:05,240 Speaker 4: Maybe he expected more people to like applaud his efforts 187 00:10:05,320 --> 00:10:07,560 Speaker 4: and not to get the kind of pushback that he's getting. 188 00:10:07,600 --> 00:10:10,640 Speaker 4: I mean, you're seeing all these protests at the Tesla showrooms. 189 00:10:10,760 --> 00:10:13,000 Speaker 4: But no, I mean I think that you know this 190 00:10:13,120 --> 00:10:16,320 Speaker 4: is like he proposed this idea that there is a 191 00:10:16,360 --> 00:10:18,200 Speaker 4: reason why he donated to the campaign. 192 00:10:18,440 --> 00:10:20,800 Speaker 1: And but so so you don't think you don't think 193 00:10:20,840 --> 00:10:23,240 Speaker 1: he feels like in hindsight, it was just a bridge 194 00:10:23,280 --> 00:10:23,640 Speaker 1: too far. 195 00:10:24,880 --> 00:10:27,400 Speaker 4: No, because he loves to create. This is sort of 196 00:10:27,400 --> 00:10:29,960 Speaker 4: who he is. Like, and I've been through so many 197 00:10:30,000 --> 00:10:33,840 Speaker 4: cycles of this with Elon before, and it's like every 198 00:10:33,880 --> 00:10:36,120 Speaker 4: time we get to like a new quote unquote crisis, 199 00:10:36,120 --> 00:10:38,400 Speaker 4: everyone's like, oh my god, this is it. But like 200 00:10:38,520 --> 00:10:41,280 Speaker 4: we've been through this countless times. In twenty eighteen, when 201 00:10:41,280 --> 00:10:44,120 Speaker 4: he tried to like fake the buyout of going private 202 00:10:44,320 --> 00:10:47,000 Speaker 4: and when he bought Twitter, like everyone was like, oh 203 00:10:47,000 --> 00:10:48,800 Speaker 4: my god, Like this is the end. He's going to 204 00:10:48,840 --> 00:10:49,600 Speaker 4: be so distracted. 205 00:10:49,600 --> 00:10:51,600 Speaker 1: And then you're telling me, you're telling me he actually 206 00:10:51,640 --> 00:10:55,360 Speaker 1: loves this. He's this is his this is his Okay. 207 00:10:54,960 --> 00:10:58,920 Speaker 4: Yes, he creates chaos on purpose, right, Okay, that's how 208 00:10:58,960 --> 00:10:59,959 Speaker 4: he throws That's how he. 209 00:11:00,520 --> 00:11:02,920 Speaker 1: Okay, we need to move on from Washington and go 210 00:11:03,000 --> 00:11:07,280 Speaker 1: to x, which was down for users at different parts 211 00:11:07,320 --> 00:11:10,240 Speaker 1: of the day yesterday. Max tell us what transpired. 212 00:11:10,760 --> 00:11:15,319 Speaker 3: You know X Twitter has long had issues with uptime. 213 00:11:15,960 --> 00:11:18,839 Speaker 3: This is a site that gets at times like huge 214 00:11:19,040 --> 00:11:21,760 Speaker 3: amounts of traffic and you know, over the years, like 215 00:11:22,040 --> 00:11:26,199 Speaker 3: has gone down numerous times. There have also been numerous 216 00:11:26,480 --> 00:11:28,640 Speaker 3: incidents like this where there's some sort of denial of 217 00:11:28,679 --> 00:11:31,720 Speaker 3: service attack or cyber attack. The site went down yesterday, 218 00:11:31,760 --> 00:11:34,960 Speaker 3: I should say, there were sort of intermittent outages over 219 00:11:35,000 --> 00:11:37,920 Speaker 3: a period of time across you know, a number of countries. 220 00:11:38,280 --> 00:11:40,360 Speaker 3: I was not able to use it, you know, you 221 00:11:40,400 --> 00:11:44,000 Speaker 3: know me, I'm a big X user. I was not 222 00:11:44,040 --> 00:11:46,080 Speaker 3: able to get on weeks from no weeks is I 223 00:11:46,080 --> 00:11:48,360 Speaker 3: was not able to get on for hours yesterday. So 224 00:11:48,840 --> 00:11:50,880 Speaker 3: from my own personal experience. 225 00:11:50,480 --> 00:11:52,400 Speaker 1: Is that why you're in such a crappy mood today? 226 00:11:52,440 --> 00:11:55,640 Speaker 3: Yeah, I didn't get my fixed. It seemed like a 227 00:11:55,760 --> 00:11:59,959 Speaker 3: particularly bad, you know, sort of crash or whatever. 228 00:12:00,120 --> 00:12:02,119 Speaker 1: Any work of the Ukrainian he blamed. 229 00:12:02,280 --> 00:12:04,600 Speaker 3: Yeah, well he said he didn't exactly say that. He 230 00:12:04,640 --> 00:12:07,680 Speaker 3: said there were IP addresses in Ukraine. Of course, he's 231 00:12:07,679 --> 00:12:12,079 Speaker 3: What he's trying to do is suggest that somehow Zelenski, 232 00:12:12,120 --> 00:12:14,080 Speaker 3: in addition to like not saying thank you or something, 233 00:12:14,160 --> 00:12:19,600 Speaker 3: set the hackers on Twitter. Certainly possible, although there is 234 00:12:19,640 --> 00:12:23,000 Speaker 3: a group, a hacking group that has taken responsibility. They're 235 00:12:23,280 --> 00:12:29,280 Speaker 3: a sort of pro Palestinian aligned hacker collective. So again, 236 00:12:29,679 --> 00:12:32,079 Speaker 3: we don't I don't think we know yet who did it, 237 00:12:32,320 --> 00:12:35,200 Speaker 3: But of course it's not good for business and it 238 00:12:35,360 --> 00:12:37,920 Speaker 3: and when you when you layer in all of the 239 00:12:37,960 --> 00:12:40,440 Speaker 3: other things that we're going to be talking about, it 240 00:12:40,480 --> 00:12:46,199 Speaker 3: doesn't necessarily communicate command or having having their stuff together. 241 00:12:46,000 --> 00:12:52,160 Speaker 1: No, Dana. Meanwhile, a SpaceX rocket launch late last week 242 00:12:52,840 --> 00:12:55,400 Speaker 1: was quite a show, but I suppose for for the 243 00:12:55,400 --> 00:12:56,160 Speaker 1: wrong reasons. 244 00:12:56,520 --> 00:12:58,840 Speaker 4: Yeah, I mean, it launched okay, but then it blew 245 00:12:58,880 --> 00:13:02,160 Speaker 4: apart and then debris kind of like closed air travel 246 00:13:02,160 --> 00:13:04,280 Speaker 4: in Florida for a little while. I mean, I think, 247 00:13:04,440 --> 00:13:09,360 Speaker 4: you know, in SpaceX's defense, they would argue that every 248 00:13:09,440 --> 00:13:11,600 Speaker 4: time they have a mistake, they learn from it, they 249 00:13:11,600 --> 00:13:14,600 Speaker 4: get better, they iterate, they improve on things like you 250 00:13:14,640 --> 00:13:17,559 Speaker 4: don't make advances in sciences and technology without a lot 251 00:13:17,600 --> 00:13:21,040 Speaker 4: of experimentation. But you know, Musk has always been someone 252 00:13:21,040 --> 00:13:23,280 Speaker 4: who is spinning a lot of plates. And as Max 253 00:13:23,320 --> 00:13:26,319 Speaker 4: and I wrote earlier this year, you know, he is 254 00:13:26,400 --> 00:13:28,880 Speaker 4: running six companies and now he's got a seventh, which 255 00:13:28,880 --> 00:13:30,920 Speaker 4: is running the government. And it's only a matter of 256 00:13:30,920 --> 00:13:33,559 Speaker 4: time before like one of those plates comes crashing down. 257 00:13:33,760 --> 00:13:36,440 Speaker 4: So how long he can keep them all spinning as 258 00:13:36,480 --> 00:13:39,079 Speaker 4: anyone's guest, but he's we've sort of been in these 259 00:13:39,120 --> 00:13:40,320 Speaker 4: crisis moments before. 260 00:13:40,800 --> 00:13:45,160 Speaker 1: So Max Dana points out that SpaceX and Musk love 261 00:13:45,240 --> 00:13:47,360 Speaker 1: to learn and iterate from these blow ups, and they 262 00:13:47,440 --> 00:13:50,600 Speaker 1: kind of, to a certain extent almost even enjoy them 263 00:13:50,720 --> 00:13:52,600 Speaker 1: in the sense that they then get to autopsy the 264 00:13:52,600 --> 00:13:56,240 Speaker 1: whole thing and go on. That's fine, learning and iterating 265 00:13:56,320 --> 00:14:00,000 Speaker 1: is one thing. But raining so much to debris down 266 00:14:00,360 --> 00:14:03,319 Speaker 1: that airports are shut down for a while, Is that okay? 267 00:14:03,360 --> 00:14:04,200 Speaker 1: Is that normal? 268 00:14:04,760 --> 00:14:05,000 Speaker 5: No? 269 00:14:05,400 --> 00:14:09,000 Speaker 3: And it's not. And so obviously yes, it's true that 270 00:14:09,160 --> 00:14:11,760 Speaker 3: like they're not going to get to Mars or even 271 00:14:11,800 --> 00:14:16,319 Speaker 3: get this uh spacecraft working on one launch. By design, 272 00:14:16,640 --> 00:14:19,400 Speaker 3: these things are are not going to work out. They're 273 00:14:19,440 --> 00:14:22,680 Speaker 3: not launching any real cargo yet. For this very reason, 274 00:14:22,720 --> 00:14:25,400 Speaker 3: I believe there were some rocket was by the way, 275 00:14:25,440 --> 00:14:27,800 Speaker 3: this was a starship rocket. This is the This is 276 00:14:27,840 --> 00:14:32,320 Speaker 3: the spacecraft that Elon Musk sees as the Mars vehicle 277 00:14:32,720 --> 00:14:37,080 Speaker 3: for now, though SpaceX has a contract to land this 278 00:14:37,120 --> 00:14:41,400 Speaker 3: is a lunar landing craft for for the Moon mission, right, 279 00:14:41,440 --> 00:14:43,480 Speaker 3: but musks that that's the contract that they have. 280 00:14:43,760 --> 00:14:44,920 Speaker 1: Moon is for losers. 281 00:14:45,120 --> 00:14:48,080 Speaker 3: That's what Elon Musk says, but now, but the challenge 282 00:14:48,080 --> 00:14:51,520 Speaker 3: here is that, well, first of all, one challenge is 283 00:14:51,560 --> 00:14:53,960 Speaker 3: there are a lot of people who who don't think 284 00:14:54,000 --> 00:14:56,680 Speaker 3: the Moon is for losers, and and those people include 285 00:14:56,840 --> 00:15:01,000 Speaker 3: many of the other companies who have contracts UH to 286 00:15:01,480 --> 00:15:04,440 Speaker 3: send people and parts and so on to the Moon. 287 00:15:04,760 --> 00:15:07,600 Speaker 3: There is going to be political opposition. There already is 288 00:15:07,640 --> 00:15:10,840 Speaker 3: political opposition to any effort to sort of like as 289 00:15:10,920 --> 00:15:13,480 Speaker 3: Musk has sort of hinted, like, cancel the Artemist program, 290 00:15:13,520 --> 00:15:15,520 Speaker 3: which is the Moon program and replace it with a 291 00:15:15,520 --> 00:15:19,360 Speaker 3: Mars program. The other day, Trump actually brought up Mars 292 00:15:19,400 --> 00:15:22,080 Speaker 3: and said it, well, it's it's not that big a priority, 293 00:15:22,320 --> 00:15:25,960 Speaker 3: which I would say is in start contrast to how 294 00:15:25,960 --> 00:15:30,440 Speaker 3: Elon Musk s is it. These launches are have scientific 295 00:15:30,720 --> 00:15:34,080 Speaker 3: and engineering value, but they also are political. And we 296 00:15:34,200 --> 00:15:38,080 Speaker 3: learned that during the campaign trail when Trump over and 297 00:15:38,280 --> 00:15:41,760 Speaker 3: over and over again talked about how beautiful it was, 298 00:15:41,800 --> 00:15:43,960 Speaker 3: how amazing the arms they lived. You know, we all 299 00:15:44,000 --> 00:15:45,840 Speaker 3: heard this over and over again. Dan and I heard 300 00:15:45,880 --> 00:15:50,480 Speaker 3: it in person in Madison Square Garden. Trump loves like 301 00:15:50,560 --> 00:15:53,360 Speaker 3: cradling a baby like Trump loves to talk about it 302 00:15:53,400 --> 00:15:55,600 Speaker 3: because and of course he loves it because it is 303 00:15:55,720 --> 00:16:00,320 Speaker 3: like a perfect illustration of Elon Musk's competence and at 304 00:16:00,760 --> 00:16:04,240 Speaker 3: and so when we see the opposite, it doesn't convey that, 305 00:16:04,480 --> 00:16:07,000 Speaker 3: and it makes it all the harder for Elon Musk 306 00:16:07,040 --> 00:16:09,840 Speaker 3: to argue that the United States should bet on this 307 00:16:09,880 --> 00:16:13,480 Speaker 3: technology which is a new technology, which is not totally 308 00:16:13,480 --> 00:16:17,200 Speaker 3: figured out, which could fail. Right, Like, so, yes, the 309 00:16:17,280 --> 00:16:20,520 Speaker 3: failures are by design, but they're not good. 310 00:16:20,960 --> 00:16:23,800 Speaker 1: As we wrap this segment here, Max, I'll just say 311 00:16:23,880 --> 00:16:27,840 Speaker 1: that Musk, like I knows that stocks go to the moon, 312 00:16:28,400 --> 00:16:31,640 Speaker 1: starships go to Mars. Come on, I don't. 313 00:16:32,240 --> 00:16:33,520 Speaker 3: I don't totally know what that means. 314 00:16:33,520 --> 00:16:42,200 Speaker 1: But okay, all right, okay, So we're now joined by 315 00:16:42,840 --> 00:16:45,640 Speaker 1: stocks reporter Esha Day. Hello, Esha, welcome back. 316 00:16:46,040 --> 00:16:46,320 Speaker 2: Hello. 317 00:16:46,960 --> 00:16:49,280 Speaker 1: So I told you to come back on when you 318 00:16:49,360 --> 00:16:53,400 Speaker 1: had something interesting to talk about, and man, do you 319 00:16:54,120 --> 00:16:58,120 Speaker 1: so the Tesla, the stock has been in free fall, 320 00:16:58,560 --> 00:17:01,080 Speaker 1: notwithstanding a little bit of a bump back up today. 321 00:17:01,360 --> 00:17:05,360 Speaker 1: Hit us to start with with some superlatives that capture 322 00:17:05,480 --> 00:17:06,960 Speaker 1: the move in recent days. 323 00:17:07,240 --> 00:17:10,720 Speaker 5: Sure, let me absolutely spoil you here. So Tesla says 324 00:17:10,800 --> 00:17:14,240 Speaker 5: a down forty five percent last I checked for the year. 325 00:17:14,800 --> 00:17:16,119 Speaker 2: It's really volatile today. 326 00:17:16,160 --> 00:17:19,120 Speaker 5: But let's go with forty five percent, and then it's 327 00:17:19,160 --> 00:17:21,919 Speaker 5: down fifty three percent from the all time high that 328 00:17:21,960 --> 00:17:25,760 Speaker 5: it touched on December seventeenth. So in the process, the 329 00:17:25,800 --> 00:17:29,160 Speaker 5: stock has now lost more than eight hundred to be specific, 330 00:17:29,200 --> 00:17:32,160 Speaker 5: eight hundred and sixteen billion dollars from its market evaluation. 331 00:17:32,800 --> 00:17:35,679 Speaker 1: So at and its peak, its market value was. 332 00:17:36,240 --> 00:17:37,320 Speaker 2: One point five trillion. 333 00:17:37,400 --> 00:17:41,919 Speaker 5: Yes, and currently it's worth around seven hundred billion and change. 334 00:17:42,040 --> 00:17:46,800 Speaker 1: Yes, and I believe it is the biggest decliner in 335 00:17:46,840 --> 00:17:48,240 Speaker 1: the S and P five hundred index. 336 00:17:48,320 --> 00:17:51,720 Speaker 5: Since that's right, yesation, right, yes, you you completely snatched 337 00:17:51,720 --> 00:17:54,600 Speaker 5: the words out of it is the worst decliner on 338 00:17:54,640 --> 00:17:58,280 Speaker 5: the SMB five hundred right now by a decent margin, 339 00:17:58,480 --> 00:17:59,040 Speaker 5: I would say. 340 00:17:59,240 --> 00:18:01,680 Speaker 1: So, I get the sense that even the bulls out there, 341 00:18:01,920 --> 00:18:05,040 Speaker 1: the Tesla perma bulls, are starting to get to get 342 00:18:05,240 --> 00:18:08,879 Speaker 1: starting to get a bit nervous. What are you hearing? 343 00:18:09,680 --> 00:18:12,880 Speaker 5: Yes, that's a great way to put it. The perma bulls, 344 00:18:13,320 --> 00:18:17,800 Speaker 5: some of them extremely vocal and art in Tesla fans, 345 00:18:17,880 --> 00:18:20,760 Speaker 5: I would say, who absolutely believe in this kind of 346 00:18:20,840 --> 00:18:24,399 Speaker 5: long term vision of Tesla becoming this pioneer in the 347 00:18:24,440 --> 00:18:28,320 Speaker 5: fully self driving vehicle, the robot taxi and a much 348 00:18:28,359 --> 00:18:34,119 Speaker 5: more sophisticated real life AI applications such as humanoid robot 349 00:18:34,200 --> 00:18:37,000 Speaker 5: and all that. Even those people, when I talk to 350 00:18:37,000 --> 00:18:39,000 Speaker 5: them for in a very long time, and I have 351 00:18:39,080 --> 00:18:41,520 Speaker 5: been covering this stock for a while now, this is 352 00:18:41,520 --> 00:18:44,640 Speaker 5: the first time that I'm hearing them being a little antsy. 353 00:18:45,000 --> 00:18:47,640 Speaker 2: They're not sure. They're still on the sideline. 354 00:18:47,680 --> 00:18:50,080 Speaker 5: So despite a fifty what seems like a fifty three 355 00:18:50,080 --> 00:18:53,520 Speaker 5: percent discount, So clearly these people think, and they say 356 00:18:53,520 --> 00:18:55,960 Speaker 5: this in as many words, that they think there's more 357 00:18:56,040 --> 00:18:58,920 Speaker 5: to go in this decline. And why is that? The 358 00:18:59,720 --> 00:19:02,600 Speaker 5: reason is simple, Like you know, the the boom that 359 00:19:02,640 --> 00:19:06,000 Speaker 5: we saw after the election, it was really not driven 360 00:19:06,119 --> 00:19:11,040 Speaker 5: by anything fundamental. So now that all that speculative frenzy 361 00:19:11,080 --> 00:19:13,679 Speaker 5: has been taken out of the stock, people are starting 362 00:19:13,720 --> 00:19:16,280 Speaker 5: to look at the fundamental. So where do fundamental stand 363 00:19:16,600 --> 00:19:18,800 Speaker 5: compared to say November. 364 00:19:18,359 --> 00:19:22,520 Speaker 2: Of last year. They look weaker. So there's no reason terrible. 365 00:19:22,240 --> 00:19:24,880 Speaker 1: Right, I mean, in Europe, in parts of the US, 366 00:19:25,080 --> 00:19:28,919 Speaker 1: sales are way down. The brand has been damaged with 367 00:19:29,000 --> 00:19:34,240 Speaker 1: the significant swath of consumers out there. But Dana Trump 368 00:19:34,280 --> 00:19:36,440 Speaker 1: came out last night in truth it was I believe 369 00:19:36,480 --> 00:19:39,240 Speaker 1: it was last night, and he said He's going to 370 00:19:39,320 --> 00:19:43,760 Speaker 1: go out himself and buy a Tesla to show support 371 00:19:43,800 --> 00:19:47,000 Speaker 1: for his man mosque. Is this is going to turn 372 00:19:47,400 --> 00:19:48,680 Speaker 1: this is going to turn the stock around? 373 00:19:48,680 --> 00:19:51,159 Speaker 4: Well, I mean, it's it's remarkable that the President of 374 00:19:51,200 --> 00:19:54,119 Speaker 4: the United States is saying this, and his exact quote 375 00:19:54,160 --> 00:19:56,800 Speaker 4: on truth is I'm going to buy a brand new 376 00:19:56,880 --> 00:20:01,000 Speaker 4: Tesla tomorrow morning, meeting today today as we speak, as 377 00:20:01,040 --> 00:20:04,000 Speaker 4: a show, as a show of confidence and support for 378 00:20:04,080 --> 00:20:07,960 Speaker 4: Elon Musk, a truly great American. So, first of all, 379 00:20:08,000 --> 00:20:10,080 Speaker 4: I don't see how this works in practice, Like, are 380 00:20:10,080 --> 00:20:12,200 Speaker 4: we supposed to believe that the President is going to 381 00:20:12,320 --> 00:20:15,919 Speaker 4: like waltz into some showroom in Washington, DC and like 382 00:20:16,160 --> 00:20:18,080 Speaker 4: roll out with the cyber truck or something like. I 383 00:20:18,440 --> 00:20:21,240 Speaker 4: just don't really I scrutinize this very concept. 384 00:20:21,480 --> 00:20:23,240 Speaker 1: I could see him rocking a cyber truck. 385 00:20:23,280 --> 00:20:27,920 Speaker 4: But secondly, if the whole issue is brand erosion and 386 00:20:28,080 --> 00:20:31,840 Speaker 4: Tesla's longtime consumer is being very upset that Musk has 387 00:20:31,920 --> 00:20:35,240 Speaker 4: thrown in his lot with Trump, the idea that Trump 388 00:20:35,280 --> 00:20:36,959 Speaker 4: is now going to buy a Tesla is just going 389 00:20:37,000 --> 00:20:42,440 Speaker 4: to further cement Tesla as a brand into like a Magamobile, 390 00:20:42,520 --> 00:20:44,239 Speaker 4: which you know, Max and I wrote about like two 391 00:20:44,320 --> 00:20:46,960 Speaker 4: years ago. So I don't see how it helps Elon 392 00:20:47,040 --> 00:20:48,680 Speaker 4: at all. I just think it's not good. 393 00:20:49,040 --> 00:20:52,200 Speaker 1: This is a key thing. And I guess my first 394 00:20:52,200 --> 00:20:54,640 Speaker 1: reaction was when Trump said he was gonna go buy one. 395 00:20:54,960 --> 00:20:57,919 Speaker 1: I was like, one, you're gonna buy one Tesla? How 396 00:20:57,920 --> 00:21:01,439 Speaker 1: about three hundred thousand, buddy? And I guess my question 397 00:21:01,520 --> 00:21:04,120 Speaker 1: for you, Max is and it gets back to something 398 00:21:04,680 --> 00:21:08,119 Speaker 1: it's been nagging for a while for me, which is, 399 00:21:08,680 --> 00:21:13,760 Speaker 1: for every five or ten or twenty buyers Musk loses 400 00:21:13,800 --> 00:21:17,760 Speaker 1: in Blue America, is there some offset in Red America, 401 00:21:17,880 --> 00:21:23,240 Speaker 1: some of any kind? And is Trump perhaps nudging those 402 00:21:23,280 --> 00:21:24,840 Speaker 1: red buyers to get up off the couch and go 403 00:21:24,920 --> 00:21:25,560 Speaker 1: buy Yes. 404 00:21:25,800 --> 00:21:28,119 Speaker 3: I want to remind people. This would be Trump's second 405 00:21:28,160 --> 00:21:31,119 Speaker 3: cyber truck. He actually got one from a podcaster in 406 00:21:31,200 --> 00:21:34,000 Speaker 3: twenty twenty four. I believe we talked about this. It 407 00:21:34,040 --> 00:21:36,119 Speaker 3: was like it had like I remember stickers on it 408 00:21:36,240 --> 00:21:38,560 Speaker 3: or something. Anyway, Yeah, it was like a campaign stunt. 409 00:21:38,600 --> 00:21:40,600 Speaker 3: I don't again, I don't know if he still has it. 410 00:21:40,680 --> 00:21:42,680 Speaker 3: But it could be a second one could be a 411 00:21:42,760 --> 00:21:45,560 Speaker 3: Trump fleet. You could have Eric and On Junior both 412 00:21:45,640 --> 00:21:49,280 Speaker 3: driving cyber trucks. I suppose I do think like there 413 00:21:49,359 --> 00:21:53,119 Speaker 3: is a universe of of sort of hardcore Trump supporter 414 00:21:53,359 --> 00:21:56,119 Speaker 3: who has already embraced Elon Musk. We've talked about this 415 00:21:56,200 --> 00:21:59,080 Speaker 3: a lot, like it's not like there's no sort of 416 00:21:59,160 --> 00:22:03,760 Speaker 3: like maga buyer coalition, But like Danna saying, this doesn't 417 00:22:03,800 --> 00:22:08,080 Speaker 3: really help because Musk is already completely Trump coded, I. 418 00:22:08,040 --> 00:22:11,480 Speaker 1: Guess the pushback on that would be that, yes, that 419 00:22:12,160 --> 00:22:15,959 Speaker 1: maga crowd that loves the that loves Musk or likes 420 00:22:16,040 --> 00:22:19,200 Speaker 1: must buys the stock right has been buying the stock, 421 00:22:19,240 --> 00:22:21,680 Speaker 1: and that was part of ESHA right, the big pop 422 00:22:21,720 --> 00:22:24,040 Speaker 1: we saw last year in the stock. Can you get 423 00:22:24,080 --> 00:22:26,320 Speaker 1: them through something like a truth like this to go 424 00:22:26,640 --> 00:22:29,320 Speaker 1: doing that from buying right, from buying the stock to 425 00:22:29,480 --> 00:22:31,320 Speaker 1: then no, no, we need you to do more, we 426 00:22:31,359 --> 00:22:33,280 Speaker 1: need you to buy the vehicle itself. 427 00:22:33,400 --> 00:22:36,400 Speaker 4: I just think that, Listen, the economy is really uncertain 428 00:22:36,480 --> 00:22:39,480 Speaker 4: right now. People are losing their jobs, people are seeing 429 00:22:39,480 --> 00:22:43,159 Speaker 4: their retirement savings go to hell. They don't know if 430 00:22:43,160 --> 00:22:45,320 Speaker 4: they're going to have Social Security and Medicare, Like, this 431 00:22:45,400 --> 00:22:48,040 Speaker 4: is not the time when people make a big purchase 432 00:22:48,200 --> 00:22:50,320 Speaker 4: like buying a car. There is a reason why Q 433 00:22:50,400 --> 00:22:53,000 Speaker 4: one sales are going to be crappy, and it's like 434 00:22:53,640 --> 00:22:56,280 Speaker 4: just buying a car is a huge purchase. It's often 435 00:22:56,640 --> 00:22:59,439 Speaker 4: the largest purchase that someone makes outside of housing or 436 00:22:59,440 --> 00:23:02,440 Speaker 4: like a college education. So I just don't think you're 437 00:23:02,480 --> 00:23:05,840 Speaker 4: seeing people like rushing to the showroom to buy a vehicle. 438 00:23:06,200 --> 00:23:10,280 Speaker 4: And also, like Tesla's lineup, it's super old, Like Tesla 439 00:23:10,359 --> 00:23:12,479 Speaker 4: made a big thing of how they're now, you know, 440 00:23:12,680 --> 00:23:16,520 Speaker 4: selling the refreshed Model Why. So some people are waiting 441 00:23:16,520 --> 00:23:18,719 Speaker 4: for the Model Y, but there's like the new Model Why. 442 00:23:18,800 --> 00:23:20,960 Speaker 4: But there's like a ton of inventory on the Tesla 443 00:23:21,000 --> 00:23:24,920 Speaker 4: website right now. And yeah, I don't think that like Trump, 444 00:23:25,320 --> 00:23:27,000 Speaker 4: I don't think you're gonna see like a ton of 445 00:23:27,000 --> 00:23:29,720 Speaker 4: people moving to buy a car right now with so 446 00:23:29,800 --> 00:23:35,200 Speaker 4: much uncertainty in the wider economy. 447 00:23:35,400 --> 00:23:39,280 Speaker 1: So I actually have esha a theory that came to 448 00:23:39,320 --> 00:23:42,399 Speaker 1: me the other day on the Model Why refresh. It 449 00:23:42,440 --> 00:23:44,640 Speaker 1: was an epiphany I had as I was walking down 450 00:23:44,680 --> 00:23:46,680 Speaker 1: Park Avenue and I saw a cyber truck on one 451 00:23:46,760 --> 00:23:49,320 Speaker 1: road and I saw an old Model Why in the 452 00:23:49,359 --> 00:23:53,119 Speaker 1: other and I thought, Man, the problem with this refresh 453 00:23:53,280 --> 00:23:56,760 Speaker 1: is possible buyers of the new model Why because it 454 00:23:56,880 --> 00:23:59,720 Speaker 1: looks distinct and unique and new and different than the 455 00:23:59,720 --> 00:24:03,520 Speaker 1: old ones. They lose plausible deniability. You cannot sit you 456 00:24:03,560 --> 00:24:06,600 Speaker 1: cannot own it and slap the bumper sticker on it 457 00:24:06,640 --> 00:24:09,160 Speaker 1: and say I bought this before I knew Elan was crazy. 458 00:24:09,600 --> 00:24:11,800 Speaker 1: It's just no. Everyone's like, oh man, that's a brand 459 00:24:11,800 --> 00:24:15,040 Speaker 1: new car. So the theory is that rather than helping 460 00:24:15,080 --> 00:24:20,160 Speaker 1: them turn sales around, it could deepen their slump. What say, 461 00:24:20,240 --> 00:24:21,800 Speaker 1: you hit me with it. 462 00:24:21,800 --> 00:24:24,200 Speaker 2: It's a possibility, right, jeez, that's it. 463 00:24:24,240 --> 00:24:25,000 Speaker 1: That's all I get. 464 00:24:25,280 --> 00:24:26,240 Speaker 2: Here's what I'll say. 465 00:24:26,440 --> 00:24:29,800 Speaker 5: So it definitely seems like you know, when I talk 466 00:24:29,920 --> 00:24:33,080 Speaker 5: to like bullish just tesla investors or analysts, a lot 467 00:24:33,119 --> 00:24:35,200 Speaker 5: of them will push back on this idea of the 468 00:24:35,560 --> 00:24:36,959 Speaker 5: of damage to the brand. 469 00:24:37,320 --> 00:24:40,560 Speaker 1: But why what do they say when they push back 470 00:24:40,560 --> 00:24:42,040 Speaker 1: and they say, you're overstating it. 471 00:24:42,160 --> 00:24:45,080 Speaker 5: King, Yes, they think it's just being overstated by the media, 472 00:24:45,160 --> 00:24:46,040 Speaker 5: it's just being hyped. 473 00:24:46,080 --> 00:24:49,440 Speaker 1: But when they see sales down seventy percent in some places, 474 00:24:49,480 --> 00:24:51,399 Speaker 1: they think that's a blip that will go away. 475 00:24:51,520 --> 00:24:55,480 Speaker 5: They say that it's not entirely clear what exactly is 476 00:24:55,520 --> 00:24:58,760 Speaker 5: going on. Also, Europe and like smaller Europe chemakets like 477 00:24:58,800 --> 00:25:01,280 Speaker 5: you know, let's first see what's happening in US, because 478 00:25:01,280 --> 00:25:03,840 Speaker 5: that's kind of the litmus test, right, like what's happening 479 00:25:03,880 --> 00:25:06,080 Speaker 5: in the US market, which we do not know yet. 480 00:25:06,160 --> 00:25:09,360 Speaker 5: But my point is the risk of brand damage has 481 00:25:09,400 --> 00:25:12,080 Speaker 5: to be real enough that it pushed Trump to tweet 482 00:25:12,280 --> 00:25:16,000 Speaker 5: last night, right, Like it's kind of an acknowledgment of 483 00:25:16,040 --> 00:25:19,040 Speaker 5: this brand damage that they clearly are seeing happening. 484 00:25:19,800 --> 00:25:24,359 Speaker 3: Even maga people, even the tard cor Donald Trump people 485 00:25:24,720 --> 00:25:29,320 Speaker 3: do not like people who throw Nazi salutes or salutes 486 00:25:29,359 --> 00:25:34,359 Speaker 3: that look Nazi adjacent. Right, Musk's antics have seemed, I 487 00:25:34,400 --> 00:25:39,399 Speaker 3: think even fairly extreme for some conservatives, and like the 488 00:25:39,480 --> 00:25:44,480 Speaker 3: idea that there's no brand damage just seems like almost 489 00:25:44,680 --> 00:25:48,440 Speaker 3: disconnected from reality. I mean, like we're seeing in those 490 00:25:48,480 --> 00:25:52,800 Speaker 3: European sales numbers that Asha just mentioned, serious brand damage, 491 00:25:52,840 --> 00:25:55,040 Speaker 3: and we're seeing in the China sales numbers. We're seeing it, 492 00:25:55,080 --> 00:25:57,280 Speaker 3: in fact in some of the US sales numbers, and 493 00:25:57,720 --> 00:26:00,520 Speaker 3: even leaving that aside, like these protests in front of 494 00:26:00,760 --> 00:26:06,760 Speaker 3: Tesla dealerships are real. And it's so interesting because Musk 495 00:26:06,880 --> 00:26:09,359 Speaker 3: has responded to this and we should say by essentially 496 00:26:09,440 --> 00:26:12,399 Speaker 3: saying it's a it's all a big conspiracy, right, this 497 00:26:12,480 --> 00:26:15,119 Speaker 3: is like Act Blue, some Democratic activists, and. 498 00:26:15,440 --> 00:26:19,359 Speaker 1: This is what Trump was saying lesson right, And I. 499 00:26:19,680 --> 00:26:22,960 Speaker 3: Think this is a case where actually, like, and he's 500 00:26:23,119 --> 00:26:25,320 Speaker 3: of course blaming the media, but I think this is 501 00:26:25,359 --> 00:26:28,879 Speaker 3: really a case where the media has been behind the 502 00:26:28,880 --> 00:26:31,679 Speaker 3: ball on this, where like the media has not fully 503 00:26:31,720 --> 00:26:33,760 Speaker 3: realized and I think a lot of Wall Street has 504 00:26:33,800 --> 00:26:38,879 Speaker 3: not fully realized how significant the opinion shift is, and 505 00:26:38,920 --> 00:26:42,080 Speaker 3: how like this has become the way that people who 506 00:26:42,119 --> 00:26:45,520 Speaker 3: are mad at Trump expressed that anger at Trump. You 507 00:26:45,560 --> 00:26:49,199 Speaker 3: cannot there's nowhere to protest Trump right now. Like I 508 00:26:49,200 --> 00:26:50,919 Speaker 3: guess you could go to the White House or something, 509 00:26:51,359 --> 00:26:56,840 Speaker 3: but there are opportunities, you know, every day, a cyber truck, 510 00:26:56,960 --> 00:27:00,800 Speaker 3: right or whatever to express your displeasure. And like, Musk 511 00:27:00,960 --> 00:27:04,560 Speaker 3: has made this choice. You know, we talked about it 512 00:27:04,720 --> 00:27:08,040 Speaker 3: on this podcast, and Bears have been worried about this 513 00:27:08,480 --> 00:27:12,119 Speaker 3: for years, that he was going to polarize the brand. 514 00:27:12,920 --> 00:27:14,359 Speaker 3: And I think it would have been less of an 515 00:27:14,400 --> 00:27:17,040 Speaker 3: issue if Trump had lost the election. But Trump did 516 00:27:17,080 --> 00:27:18,960 Speaker 3: not lose the election. It also would have been less 517 00:27:18,960 --> 00:27:21,320 Speaker 3: of an issue if Musk had not taken a job 518 00:27:21,359 --> 00:27:23,320 Speaker 3: within the Trump administration, It would have been less of 519 00:27:23,320 --> 00:27:25,720 Speaker 3: an issue if he had taken a less controversial job 520 00:27:25,840 --> 00:27:28,199 Speaker 3: in the administration. But he has run headlong into this 521 00:27:28,280 --> 00:27:32,000 Speaker 3: controversy and the electorate is reacting as you'd expect. 522 00:27:32,200 --> 00:27:35,280 Speaker 1: Dana, one of those bulls that Esha had mentioned earlier. 523 00:27:35,359 --> 00:27:38,520 Speaker 1: Dan Ives at Webbush called this a moment of truth 524 00:27:38,640 --> 00:27:43,280 Speaker 1: for Musk and Tesla, and in that Fox Business interview yesterday, 525 00:27:44,000 --> 00:27:46,800 Speaker 1: when asked about how he was running Tesla and his 526 00:27:46,840 --> 00:27:52,400 Speaker 1: other companies, his response was with great difficulty. Well, I 527 00:27:52,440 --> 00:27:55,160 Speaker 1: guess I wonder is he even running them at all? 528 00:27:55,480 --> 00:27:59,480 Speaker 1: And given what it's going through, that can't cause or 529 00:27:59,520 --> 00:28:02,040 Speaker 1: given there's a whole lot of confidence as they watch 530 00:28:02,080 --> 00:28:03,040 Speaker 1: the stock crater. 531 00:28:03,280 --> 00:28:06,879 Speaker 4: Right and the board has been completely silent on Musk 532 00:28:07,119 --> 00:28:08,920 Speaker 4: since the election. I mean they have not put out 533 00:28:08,920 --> 00:28:12,760 Speaker 4: any kind of statement. There's no clear number two or COO. 534 00:28:13,400 --> 00:28:16,879 Speaker 4: The bench is like not deep, like who runs the 535 00:28:16,880 --> 00:28:19,840 Speaker 4: company day to day. It's like there's not like a 536 00:28:19,880 --> 00:28:23,400 Speaker 4: Gwen shot well at Tesla. So yeah, no, I think 537 00:28:23,400 --> 00:28:25,040 Speaker 4: it's I think it's been concerning. I'm going to be 538 00:28:25,080 --> 00:28:27,680 Speaker 4: super curious to see what the proxy says this time 539 00:28:27,720 --> 00:28:29,080 Speaker 4: around in terms of risk factor. 540 00:28:29,400 --> 00:28:32,160 Speaker 1: Tell us more about that proxy. Remind us what exactly. 541 00:28:32,200 --> 00:28:35,359 Speaker 4: That is, well, every year, like publicly traded companies file 542 00:28:35,400 --> 00:28:40,600 Speaker 4: proxies about it basically lists out like what shareholder resolutions 543 00:28:40,640 --> 00:28:43,240 Speaker 4: are going to be discussed at the shareholder meeting. It's 544 00:28:43,240 --> 00:28:46,000 Speaker 4: a good way to look at how many pledge shares 545 00:28:46,200 --> 00:28:49,560 Speaker 4: Elon Musk has and sometimes they lay out new risk factors. 546 00:28:49,760 --> 00:28:52,560 Speaker 4: And you know a lot of times companies like they 547 00:28:52,800 --> 00:28:55,160 Speaker 4: they hide stuff in the proxy. The proxy drops on 548 00:28:55,240 --> 00:28:57,560 Speaker 4: like good Friday day that the market has closed. It's 549 00:28:57,600 --> 00:29:00,680 Speaker 4: always really deep reading. I will be reading it. I'm 550 00:29:00,720 --> 00:29:02,400 Speaker 4: just sort of curious to you to see about like 551 00:29:02,480 --> 00:29:06,520 Speaker 4: Tesla's board. Remember Joe Gebbia, the Airbnb co founder who 552 00:29:06,560 --> 00:29:09,440 Speaker 4: was on Tesla's board, is also working with Doge. So 553 00:29:09,480 --> 00:29:12,920 Speaker 4: it's not just Elon who's Doge focused, it's like another 554 00:29:12,960 --> 00:29:14,080 Speaker 4: board member as well. 555 00:29:14,560 --> 00:29:19,160 Speaker 1: Yeah. So Esha the Danna says she's seen this show, 556 00:29:19,240 --> 00:29:22,760 Speaker 1: this movie many times, having covered must over the years. 557 00:29:23,200 --> 00:29:24,760 Speaker 1: You've been covering Tessel for how long now? 558 00:29:25,480 --> 00:29:27,440 Speaker 2: Since twenty sixteen, twenty sixteen. 559 00:29:27,200 --> 00:29:30,640 Speaker 1: For a while, yeah, decade basically two decades in Tesla 560 00:29:30,800 --> 00:29:33,680 Speaker 1: right now, in dog years and doze years, forty fifty 561 00:29:33,760 --> 00:29:37,360 Speaker 1: years easy. So I guess I just wonder if you 562 00:29:37,520 --> 00:29:40,680 Speaker 1: also think, now this is just like a sell off 563 00:29:40,720 --> 00:29:44,440 Speaker 1: we've seen before, stock's going to start ripping and bounce 564 00:29:44,520 --> 00:29:49,480 Speaker 1: back soon. Or did the election and the boom and 565 00:29:49,560 --> 00:29:52,840 Speaker 1: initially created and now the bust did it just fundamentally 566 00:29:52,960 --> 00:29:54,640 Speaker 1: change the company and change the stock. 567 00:29:56,400 --> 00:29:57,400 Speaker 2: That's an interesting question. 568 00:29:57,480 --> 00:30:00,480 Speaker 5: Tesla has always been a really volatile stock. It had 569 00:30:00,600 --> 00:30:04,560 Speaker 5: always it's kind of in market parlance, it's almost always 570 00:30:04,600 --> 00:30:07,600 Speaker 5: called the og memes stock in many ways, like it 571 00:30:07,720 --> 00:30:10,880 Speaker 5: was a meme stock of cult stock even before that phenomenon. 572 00:30:11,000 --> 00:30:14,520 Speaker 1: Really, on that point, do you hear estimates from analysts 573 00:30:14,680 --> 00:30:18,960 Speaker 1: on what percent of the valuation is just means stock 574 00:30:19,080 --> 00:30:23,480 Speaker 1: valuation which is hard to separate from the Musk phenomenon, 575 00:30:23,720 --> 00:30:27,800 Speaker 1: and then what part is just hey, valuing this business 576 00:30:28,360 --> 00:30:31,000 Speaker 1: right now and going forward. Do people have estimates? 577 00:30:31,080 --> 00:30:33,080 Speaker 2: See, it's more of an art than science. 578 00:30:33,160 --> 00:30:35,840 Speaker 5: Of course, when you try to understand, you know, what 579 00:30:36,000 --> 00:30:38,760 Speaker 5: part of it is the keymand risk or tied to 580 00:30:39,320 --> 00:30:42,880 Speaker 5: Musk and musks antiques and stuff like that. However, there 581 00:30:42,960 --> 00:30:46,280 Speaker 5: are estimates that there are zeros analysts on Wall Street 582 00:30:46,280 --> 00:30:49,120 Speaker 5: who kind of try to understand if not how much 583 00:30:49,200 --> 00:30:52,120 Speaker 5: is tied to musk, which is a really abstract concept, 584 00:30:52,360 --> 00:30:54,720 Speaker 5: but at least try to understand how much of the 585 00:30:54,800 --> 00:30:57,920 Speaker 5: valuation is really focused on the future or future growth 586 00:30:58,000 --> 00:30:59,719 Speaker 5: or future growth potential. 587 00:31:00,200 --> 00:31:02,960 Speaker 2: So right now the stock has moved so much. 588 00:31:03,000 --> 00:31:05,880 Speaker 5: I haven't seen any very recent numbers, but around the 589 00:31:05,920 --> 00:31:08,120 Speaker 5: time and it was like a trillion dollar valuation. 590 00:31:08,640 --> 00:31:10,040 Speaker 2: I have seen people say. 591 00:31:09,880 --> 00:31:13,960 Speaker 5: That anywhere between two hundred to four hundred billion dollars 592 00:31:14,120 --> 00:31:18,720 Speaker 5: was for the auto business and the auto business future 593 00:31:18,760 --> 00:31:23,680 Speaker 5: growth as well, and everything else was robotaxi and AI 594 00:31:23,800 --> 00:31:27,080 Speaker 5: and like essentially the musk dream premium as we would 595 00:31:27,080 --> 00:31:27,360 Speaker 5: call it. 596 00:31:27,440 --> 00:31:30,320 Speaker 3: Yeah, I mean, if you look at Tesla's valuation compared 597 00:31:30,320 --> 00:31:34,080 Speaker 3: to car companies that have like that sell a similar volume, 598 00:31:34,120 --> 00:31:37,280 Speaker 3: it's like many times greater. It is like if Tesla 599 00:31:37,320 --> 00:31:40,960 Speaker 3: were just a car company, like it would be worth way, 600 00:31:41,040 --> 00:31:44,480 Speaker 3: way less. Even having fallen, you know, fifty percent over 601 00:31:44,520 --> 00:31:48,000 Speaker 3: the last couple of months, it's always been like a 602 00:31:48,000 --> 00:31:50,000 Speaker 3: bit of a leap of faith. And maybe I'm being 603 00:31:50,040 --> 00:31:54,080 Speaker 3: a little bit generous here to say to value Tesla's 604 00:31:54,160 --> 00:31:57,760 Speaker 3: robotaxi business or its optimist business in any way because 605 00:31:57,800 --> 00:32:00,880 Speaker 3: there is no business there. It doesn't act actually exists, 606 00:32:00,960 --> 00:32:03,160 Speaker 3: you know, Wall Street, like bid up the stock after 607 00:32:03,200 --> 00:32:05,600 Speaker 3: the election. We sort of touched on this at times, 608 00:32:05,640 --> 00:32:08,400 Speaker 3: but like there was no clear reason why. There is 609 00:32:08,440 --> 00:32:10,880 Speaker 3: nothing Trump can do. He cannot wave a magic wand 610 00:32:11,240 --> 00:32:14,000 Speaker 3: and give Tesla a robotex The funny. 611 00:32:14,120 --> 00:32:16,680 Speaker 1: The funny thing is is that Esha had shared a 612 00:32:16,680 --> 00:32:19,520 Speaker 1: couple of reports this morning from Bulls and both of 613 00:32:19,560 --> 00:32:22,880 Speaker 1: them as they expressed jitters and concern, one of the 614 00:32:22,880 --> 00:32:27,320 Speaker 1: things they both drew comfort from was the Robotaxi dream 615 00:32:27,520 --> 00:32:30,880 Speaker 1: and Morgan Stanley they're waiting for the big Austin Robotaxi 616 00:32:31,080 --> 00:32:36,480 Speaker 1: unveil in the summer. Maybe team say you've lost Dan Ives. 617 00:32:36,560 --> 00:32:40,800 Speaker 3: I mean Dan Ives is like the QAnon shaman to 618 00:32:40,960 --> 00:32:43,960 Speaker 3: like Tesla fandom, Mike, I mean he is like as 619 00:32:44,280 --> 00:32:47,320 Speaker 3: maybe I'm overstating it, but he is a megabull. Might 620 00:32:47,360 --> 00:32:50,920 Speaker 3: be if he is a mildly concerned, that is a 621 00:32:51,160 --> 00:32:53,520 Speaker 3: huge like that is like a wow. 622 00:32:53,560 --> 00:32:56,280 Speaker 1: Well yeah, yeah, he called it right. I think that 623 00:32:56,400 --> 00:32:58,040 Speaker 1: was in top of his report this morning. This is 624 00:32:58,080 --> 00:33:00,160 Speaker 1: a moment of truth for Elon and us. 625 00:33:00,320 --> 00:33:03,240 Speaker 2: Yeah, I mean, Max is right. 626 00:33:05,840 --> 00:33:13,440 Speaker 3: Don't have a very colorful out, Esha day. 627 00:33:13,440 --> 00:33:16,120 Speaker 1: Thank you for joining us, Thank you, Max, Dana. 628 00:33:16,000 --> 00:33:16,800 Speaker 5: Glad to be here. 629 00:33:16,920 --> 00:33:17,280 Speaker 2: Thank you. 630 00:33:24,240 --> 00:33:27,440 Speaker 1: This episode was produced by Stacey Wong. Anna Massa Rakus 631 00:33:27,480 --> 00:33:30,520 Speaker 1: is our editor, and Rayhan Harmanci our senior editor. Blake 632 00:33:30,520 --> 00:33:34,560 Speaker 1: Maples handles engineering, and Dave Precell fact checks. Our supervising 633 00:33:34,600 --> 00:33:39,160 Speaker 1: producer is Magnus Henrickson. The theme is written and performed 634 00:33:39,160 --> 00:33:43,200 Speaker 1: by Takea Yasuzawa and Alex Sugi Eira. Brendan Francis Newnham 635 00:33:43,280 --> 00:33:45,560 Speaker 1: is our executive producer, and Sage Bauman is the head 636 00:33:45,560 --> 00:33:49,320 Speaker 1: of Bloomberg Podcasts. A big thanks to our supporters Joel 637 00:33:49,320 --> 00:33:53,200 Speaker 1: Weber and Brad Stone. I'm David Papadopoulos. If you have 638 00:33:53,280 --> 00:33:55,720 Speaker 1: a minute, rate and review our show, it'll help other 639 00:33:55,760 --> 00:33:57,880 Speaker 1: listeners find us. See you next week. 640 00:34:00,400 --> 00:34:02,080 Speaker 2: Stand Standing