1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,160 --> 00:00:09,760 Speaker 2: Let me tell you we have a new star. 3 00:00:10,760 --> 00:00:15,200 Speaker 3: A star is born Elon On mars Juson Kennedy. He 4 00:00:15,360 --> 00:00:18,760 Speaker 3: is the Thomas Edison plus plus plus of our age. 5 00:00:18,840 --> 00:00:21,240 Speaker 2: Probably his whole life is from a position of insecurity. 6 00:00:21,320 --> 00:00:23,440 Speaker 2: I feel for the guy. I would say ninety eight 7 00:00:23,480 --> 00:00:26,800 Speaker 2: percent really appreciate what he does. But those two percent 8 00:00:26,880 --> 00:00:30,120 Speaker 2: that are nasty, they are. I'll be in four post. 9 00:00:30,520 --> 00:00:32,560 Speaker 2: We are meant for great things in the United States 10 00:00:32,600 --> 00:00:34,800 Speaker 2: of America, and Elon reminds us. 11 00:00:34,680 --> 00:00:38,760 Speaker 4: Of that we don't have a fourth branch of governments 12 00:00:39,000 --> 00:00:40,839 Speaker 4: called Elon Musk. 13 00:00:46,240 --> 00:00:50,520 Speaker 2: Welcome to Elanik Bloomberg's weekly podcast about Elon Musk. It's Tuesday, 14 00:00:50,640 --> 00:00:55,520 Speaker 2: March fourth. I'm your host, David Papadopolis. So as Elon 15 00:00:55,680 --> 00:00:58,880 Speaker 2: has been exploring his new life as a government worker 16 00:00:58,920 --> 00:01:01,840 Speaker 2: at the share price of his publicly traded company, Tesla 17 00:01:02,360 --> 00:01:05,760 Speaker 2: has been on a wild ride. The stock skyrocketed after 18 00:01:05,800 --> 00:01:10,400 Speaker 2: Trump's selection, but recently it's been in freefall and Elon 19 00:01:10,560 --> 00:01:15,440 Speaker 2: is become increasingly the target for Democrat protesters. Every weekend, 20 00:01:15,520 --> 00:01:17,760 Speaker 2: more people have showed up at Tesla dealerships across the 21 00:01:17,880 --> 00:01:23,119 Speaker 2: US marching, chanting, vandalizing, and overseas it might even be worse. 22 00:01:23,680 --> 00:01:27,400 Speaker 2: Tesla sales have collapsed in Europe. Could the Trump trade 23 00:01:27,400 --> 00:01:30,759 Speaker 2: be a bad deal for Elon and his investors? And 24 00:01:30,800 --> 00:01:33,920 Speaker 2: then we'll look at some new feuds. Finally, some new 25 00:01:33,959 --> 00:01:36,960 Speaker 2: feuds appearing on the horizon. For Elon. It's no longer 26 00:01:37,000 --> 00:01:40,000 Speaker 2: the tech CEOs that he's beefing with, they've pretty much 27 00:01:40,040 --> 00:01:43,000 Speaker 2: all fallen in line behind him and Trump, but instead 28 00:01:43,000 --> 00:01:48,320 Speaker 2: its entire international alliances. And lastly we hear some truly 29 00:01:48,520 --> 00:01:53,560 Speaker 2: wild state of the Union Elon predictions. So to discuss 30 00:01:53,760 --> 00:01:59,560 Speaker 2: all things Tesla, we are joined by the Bloomberg Global 31 00:01:59,600 --> 00:02:03,720 Speaker 2: Autos are in London, Craig Trudell. Craig Hello there, sir, Hello, 32 00:02:04,120 --> 00:02:06,480 Speaker 2: and we have our regulars of course, as always with 33 00:02:06,560 --> 00:02:09,880 Speaker 2: us here Max Chafkin in the studio with me. Max, Hey, David, 34 00:02:10,280 --> 00:02:14,720 Speaker 2: and Dana Hall beaming in from California. Dana, Hello, Hey, David. Okay, 35 00:02:15,000 --> 00:02:18,320 Speaker 2: So for all of you some numbers first, to get 36 00:02:18,360 --> 00:02:20,760 Speaker 2: a bit of a perspective about just how crazy this 37 00:02:20,919 --> 00:02:23,400 Speaker 2: ride has been. From the run up to the election 38 00:02:23,600 --> 00:02:26,880 Speaker 2: back in the summer to the post election peak. The 39 00:02:27,040 --> 00:02:30,400 Speaker 2: Tesla stock price almost tripled just it was in an 40 00:02:30,440 --> 00:02:34,680 Speaker 2: absolute tear. Since that peak, it's been pretty darn ugly 41 00:02:34,919 --> 00:02:38,080 Speaker 2: down over two hundred dollars per share, a drop of 42 00:02:38,280 --> 00:02:41,919 Speaker 2: nearly fifty percent, much of it coming since the inauguration, 43 00:02:42,680 --> 00:02:44,720 Speaker 2: and the stock is now essentially back at the level 44 00:02:44,720 --> 00:02:48,880 Speaker 2: it was on election Day. It's plummeting again today, down 45 00:02:49,000 --> 00:02:52,920 Speaker 2: roughly seven percent or so this morning, as we're recording 46 00:02:53,400 --> 00:02:56,640 Speaker 2: part of a broader route across markets here in the 47 00:02:56,639 --> 00:02:59,239 Speaker 2: wake of the Trump tariffs. But also there were some 48 00:02:59,320 --> 00:03:03,440 Speaker 2: really bad sales numbers for Tesla out of China overnight. Now, Craig, 49 00:03:04,120 --> 00:03:07,080 Speaker 2: you've seen a lot of wild gyrations during your time 50 00:03:07,120 --> 00:03:11,640 Speaker 2: covering Kesla, but even by those standards, this is pretty dramatic. 51 00:03:11,919 --> 00:03:13,480 Speaker 2: What the hell is going on here? 52 00:03:14,760 --> 00:03:19,239 Speaker 1: I think we're seeing a dramatic rethinking of whether it's 53 00:03:19,280 --> 00:03:23,800 Speaker 1: such a good thing that Elon Musk has so emphatically 54 00:03:23,919 --> 00:03:27,320 Speaker 1: thrown his dark Maga hat in with President Trump. 55 00:03:27,400 --> 00:03:29,600 Speaker 2: So I mean, I remember, again at the very beginning, Craig, 56 00:03:29,680 --> 00:03:33,480 Speaker 2: the market was adamant that it was a brilliant idea. 57 00:03:33,560 --> 00:03:36,280 Speaker 2: The market bid the stock up furiously in the first 58 00:03:36,360 --> 00:03:37,920 Speaker 2: couple of weeks after the election. 59 00:03:38,200 --> 00:03:41,120 Speaker 5: Absolutely, I think the instant analysis, the sort of knee 60 00:03:41,160 --> 00:03:44,000 Speaker 5: jerk reaction to this was, how can it possibly be 61 00:03:44,280 --> 00:03:47,960 Speaker 5: a bad thing to be incredibly close to the most 62 00:03:47,960 --> 00:03:51,280 Speaker 5: powerful person in the world, to essentially, you know, be 63 00:03:51,640 --> 00:03:55,960 Speaker 5: his first buddy, to be his cabinet mate. I think everybody, 64 00:03:56,880 --> 00:03:59,960 Speaker 5: I'm sure was clear eyed months ago that you know, 65 00:04:00,080 --> 00:04:05,400 Speaker 5: Trump was not necessarily, you know, wildly popular. He's very polarizing. 66 00:04:06,080 --> 00:04:09,160 Speaker 5: But I think if you told people in October or 67 00:04:09,160 --> 00:04:12,040 Speaker 5: early November that Trump and Musk were going to do 68 00:04:12,120 --> 00:04:14,160 Speaker 5: some of the things they've done in the first I 69 00:04:14,160 --> 00:04:17,080 Speaker 5: think we're six weeks in now of this presidency, you know, 70 00:04:17,080 --> 00:04:20,200 Speaker 5: people would have said, you know, you've got Trump derangement syndrome. 71 00:04:20,240 --> 00:04:23,880 Speaker 5: I think they've been really really aggressive, very sort of 72 00:04:23,920 --> 00:04:27,720 Speaker 5: stick it in your face, and I think we are seeing, 73 00:04:28,200 --> 00:04:30,480 Speaker 5: you know, you can't really sort of take it out 74 00:04:30,520 --> 00:04:34,440 Speaker 5: on SpaceX, right. I suppose you can leave X or Twitter. 75 00:04:34,839 --> 00:04:36,880 Speaker 5: A lot of people have already done that. If you 76 00:04:37,040 --> 00:04:39,720 Speaker 5: really want to stick it to elon you, you stick 77 00:04:39,760 --> 00:04:43,000 Speaker 5: it to his most valuable company that has cars all 78 00:04:43,040 --> 00:04:46,159 Speaker 5: over the place. And we're seeing that, We're seeing, you know, 79 00:04:46,240 --> 00:04:50,000 Speaker 5: dozens of protests across the US. I think we're also 80 00:04:50,080 --> 00:04:53,680 Speaker 5: seeing you know, even some of of Tesla's own customers 81 00:04:53,800 --> 00:04:58,680 Speaker 5: putting different companies' badges onto their cars so that people 82 00:04:59,120 --> 00:05:01,800 Speaker 5: think they're driving them Mazda or a BMW instead of 83 00:05:01,800 --> 00:05:02,400 Speaker 5: a Model three. 84 00:05:02,440 --> 00:05:04,520 Speaker 2: It's it's wait, wait a minute, wait a minute, tell 85 00:05:04,520 --> 00:05:07,240 Speaker 2: me more about that. How does that? A? How exactly 86 00:05:07,240 --> 00:05:10,440 Speaker 2: does that work? And B does it work? Is someone like, oh, 87 00:05:10,480 --> 00:05:12,600 Speaker 2: that's a nice Mazda. And by the way, who wants 88 00:05:12,600 --> 00:05:20,919 Speaker 2: a nice Maza? Hey, don maza clugged my Mazda. You 89 00:05:21,000 --> 00:05:23,640 Speaker 2: just wait a minute. So you turned your Tesla into 90 00:05:23,680 --> 00:05:25,080 Speaker 2: a Masa? Is that what you're saying? 91 00:05:25,200 --> 00:05:26,760 Speaker 1: No, no, no, no, sir. 92 00:05:27,240 --> 00:05:29,440 Speaker 5: But but I mean, I think it's a pretty simple 93 00:05:29,800 --> 00:05:32,080 Speaker 5: deal of of you sort of you know, chip off 94 00:05:32,160 --> 00:05:35,400 Speaker 5: your your t dcal off of the back of your vehicle. 95 00:05:35,880 --> 00:05:37,159 Speaker 1: You put on a different badge. 96 00:05:37,400 --> 00:05:39,960 Speaker 5: Those you know, you can buy those in the aftermarket 97 00:05:40,000 --> 00:05:42,919 Speaker 5: pretty cheaply, and you just hope people don't notice. 98 00:05:42,680 --> 00:05:45,800 Speaker 2: But that they're not thrown by the by the body 99 00:05:45,800 --> 00:05:46,440 Speaker 2: type of the car. 100 00:05:46,520 --> 00:05:48,840 Speaker 4: There is a cyber truck that is around here around 101 00:05:48,880 --> 00:05:49,760 Speaker 4: our office in New York. 102 00:05:49,839 --> 00:05:51,040 Speaker 2: You thought it was a four F one. 103 00:05:51,160 --> 00:05:55,080 Speaker 4: No, it has a old school Toyota logo of a tailgate. 104 00:05:55,560 --> 00:05:57,760 Speaker 4: And I don't think they're trying to trick anybody, but 105 00:05:57,920 --> 00:05:59,760 Speaker 4: I do think it looks kind of cool. 106 00:06:00,120 --> 00:06:03,239 Speaker 2: That is that is there you go, Max on Craig's 107 00:06:03,279 --> 00:06:06,480 Speaker 2: point that he made at the beginning, you know, when 108 00:06:06,560 --> 00:06:09,480 Speaker 2: we had that wild run up in November and into 109 00:06:09,520 --> 00:06:12,920 Speaker 2: early December, I actually believe if you pull the tape 110 00:06:13,040 --> 00:06:16,200 Speaker 2: on this show, we said, this seems like a fine 111 00:06:16,240 --> 00:06:19,800 Speaker 2: idea in the abstract, like is a very you know, 112 00:06:19,800 --> 00:06:22,599 Speaker 2: an investing thesis, like you know, yeah, his first buddy 113 00:06:22,720 --> 00:06:25,920 Speaker 2: super close to power as an abstract investing thesis. It 114 00:06:26,000 --> 00:06:28,480 Speaker 2: sort of seemed like it worked, but we did keep saying, well, 115 00:06:28,480 --> 00:06:30,920 Speaker 2: what the hell does that look like in the nitty gritty. 116 00:06:30,600 --> 00:06:33,839 Speaker 4: One hundred percent? And I've made this point before, but like, 117 00:06:34,040 --> 00:06:37,320 Speaker 4: the main rationale for the run up in the price 118 00:06:37,520 --> 00:06:40,520 Speaker 4: was that somehow Donald Trump was going to be good 119 00:06:40,560 --> 00:06:44,400 Speaker 4: for Elon Musk's robotaxi ambitions, but it was not at 120 00:06:44,400 --> 00:06:47,480 Speaker 4: all clear how he would be good. Like if Donald 121 00:06:47,520 --> 00:06:50,840 Speaker 4: Trump like waves a magic wand and legalizes like cyber 122 00:06:50,880 --> 00:06:53,680 Speaker 4: trucks for cybercabs, yeah, you still got to produce, you 123 00:06:53,760 --> 00:06:57,040 Speaker 4: gotta make one, and they still haven't done that, and 124 00:06:57,120 --> 00:07:00,159 Speaker 4: so that's a problem. And then I do think what 125 00:07:00,240 --> 00:07:04,320 Speaker 4: Craig is saying is true. Right, the sort of volume 126 00:07:05,000 --> 00:07:08,520 Speaker 4: of and sort of the energy from Musk is more 127 00:07:08,560 --> 00:07:11,440 Speaker 4: aggressive than we would have expected, maybe more polarizing than 128 00:07:11,440 --> 00:07:14,720 Speaker 4: we expected. I also think that what Musk is doing 129 00:07:15,200 --> 00:07:18,520 Speaker 4: is cutting against his own brand in ways that are 130 00:07:18,640 --> 00:07:22,480 Speaker 4: very harmful. Not just not just because Tesla has a 131 00:07:22,520 --> 00:07:25,520 Speaker 4: lot of left wing customers and those customers are now 132 00:07:25,600 --> 00:07:27,560 Speaker 4: very mad and they want to protest or cover up 133 00:07:27,600 --> 00:07:31,600 Speaker 4: the Tesla logos, but also because Musk's personal brand and 134 00:07:31,680 --> 00:07:34,800 Speaker 4: like what made him appealing was like inventing stuff and 135 00:07:35,200 --> 00:07:37,720 Speaker 4: coming up with And now obviously there are you can 136 00:07:37,760 --> 00:07:39,960 Speaker 4: debate just how much inventing he actually did or whatever, 137 00:07:40,160 --> 00:07:42,720 Speaker 4: But this is a guy who's made his thing creating 138 00:07:42,760 --> 00:07:45,480 Speaker 4: new products, and all of a sudden he's sort of 139 00:07:45,800 --> 00:07:48,960 Speaker 4: couse playing as one of the consultants from office Space. 140 00:07:49,120 --> 00:07:51,280 Speaker 4: I mean to the point where he's like literally wearing 141 00:07:51,320 --> 00:07:54,720 Speaker 4: it as a slogan, almost forgetting that those guys were 142 00:07:54,720 --> 00:07:57,400 Speaker 4: not cool in office space, like people do not necessarily. 143 00:07:57,600 --> 00:08:00,120 Speaker 4: So in addition to all the polarization, you also so 144 00:08:00,400 --> 00:08:04,080 Speaker 4: just have this kind of like brand confusion and all along. 145 00:08:04,120 --> 00:08:05,880 Speaker 4: And I'm sure Dan is about to say this, but 146 00:08:06,160 --> 00:08:09,000 Speaker 4: Tesla's actual sales, the actual numbers that are coming out 147 00:08:09,000 --> 00:08:10,280 Speaker 4: of this company have been bad. 148 00:08:10,360 --> 00:08:13,000 Speaker 3: Yeah, I mean, and to Max's point, he's sort of, 149 00:08:13,200 --> 00:08:16,400 Speaker 3: you know, flinging around a chainsaw and really embracing this 150 00:08:16,600 --> 00:08:20,200 Speaker 3: role as this destroyer of the federal government and like 151 00:08:20,360 --> 00:08:23,840 Speaker 3: moving fast and breaking things and firing people. And let 152 00:08:23,840 --> 00:08:25,800 Speaker 3: me tell you, people do not buy cars when they're 153 00:08:25,800 --> 00:08:28,840 Speaker 3: worried about the economy, when they're worried about losing their job, 154 00:08:29,440 --> 00:08:32,160 Speaker 3: when they are worried about interest rates, when they're worried 155 00:08:32,160 --> 00:08:34,319 Speaker 3: about their four oh one k going up in smoke. 156 00:08:34,520 --> 00:08:37,679 Speaker 2: Yeah, it's been a pretty brutal sell off, yes, yeah. 157 00:08:37,679 --> 00:08:40,000 Speaker 3: And to be clear, and Craig knows as well, the 158 00:08:40,040 --> 00:08:44,320 Speaker 3: first quarter is always like the worst for car sales typically, right, Like, 159 00:08:44,440 --> 00:08:46,640 Speaker 3: you know, there's a lot of incentives to clear out 160 00:08:46,640 --> 00:08:48,480 Speaker 3: inventory at the end of the year, so the fourth 161 00:08:48,559 --> 00:08:51,640 Speaker 3: quarter is typically very strong. The first quarter is typically 162 00:08:51,760 --> 00:08:54,160 Speaker 3: very slow. But what you're seeing out of the Tesla 163 00:08:54,240 --> 00:08:57,720 Speaker 3: numbers now is like despite all of these incentives, free 164 00:08:57,760 --> 00:09:01,400 Speaker 3: supercharging and YadA YadA, like they are not moving metal 165 00:09:01,640 --> 00:09:04,600 Speaker 3: and their lineup is really old and the cyber truck 166 00:09:04,679 --> 00:09:07,160 Speaker 3: sales are very weak. And it's not just in the 167 00:09:07,200 --> 00:09:09,920 Speaker 3: United States where musk is very polarizing, it's in Europe 168 00:09:10,360 --> 00:09:12,840 Speaker 3: and it's in China. Like those are the big three markets. 169 00:09:12,840 --> 00:09:15,280 Speaker 3: So the first quarter is going to be super ugly. 170 00:09:15,160 --> 00:09:18,360 Speaker 2: If we can go back also, and I hate to 171 00:09:18,520 --> 00:09:21,800 Speaker 2: talk up myself here, but if you go to the 172 00:09:21,880 --> 00:09:24,800 Speaker 2: year end clips max, Okay, when everybody may prediction, no, 173 00:09:25,160 --> 00:09:27,559 Speaker 2: I made a lot of bad, bad predictions, including my 174 00:09:27,640 --> 00:09:31,120 Speaker 2: Kentucky Derby pick, which isn't looking good at all. But 175 00:09:31,240 --> 00:09:37,079 Speaker 2: I did predict a convergence in the valuations of Tesla 176 00:09:37,240 --> 00:09:40,439 Speaker 2: and SpaceX, and man, if you would put that trade on, 177 00:09:40,520 --> 00:09:44,360 Speaker 2: if you'd gone short Tesla long SpaceX, holy smokes, you'd 178 00:09:44,360 --> 00:09:45,880 Speaker 2: be retiring. It's looking good. 179 00:09:46,000 --> 00:09:48,320 Speaker 4: I mean, I think we're there's still quite a gap 180 00:09:48,600 --> 00:09:51,440 Speaker 4: between the you know, reported valuation of SpaceX and the 181 00:09:51,520 --> 00:09:54,600 Speaker 4: current valuation of Tesla. You know, nearly four hundred billion 182 00:09:54,640 --> 00:09:57,600 Speaker 4: for SpaceX, a little more than eight hundred billion for 183 00:09:57,760 --> 00:10:01,679 Speaker 4: Tesla last I checked. But still they've that gap has closed. 184 00:10:01,760 --> 00:10:03,680 Speaker 4: And I think the issue is, you know, Craig brought 185 00:10:03,679 --> 00:10:07,360 Speaker 4: this up, but like being the first buddy is great 186 00:10:07,640 --> 00:10:09,640 Speaker 4: and I think it really impressed investor. But the problem 187 00:10:09,679 --> 00:10:13,520 Speaker 4: is that is an unpaid position, and and to monetize 188 00:10:13,520 --> 00:10:17,280 Speaker 4: that position, Elon Musk has limited options, Like there are 189 00:10:17,320 --> 00:10:22,520 Speaker 4: ways that SpaceX SpaceX can monetize Musk's access. Tesla has 190 00:10:22,600 --> 00:10:25,679 Speaker 4: really struggled. And there was this, like, you know, this 191 00:10:25,760 --> 00:10:28,720 Speaker 4: weird story that we talked about weeks ago on the 192 00:10:28,720 --> 00:10:33,560 Speaker 4: podcast about the State Department maybe putting an item in 193 00:10:33,600 --> 00:10:35,720 Speaker 4: a spreadsheet saying was gonna buy four hundred million dollars 194 00:10:35,720 --> 00:10:37,280 Speaker 4: worth of cyber trucks and. 195 00:10:37,240 --> 00:10:40,160 Speaker 2: That'll but even so, that ain't much, number one, That's 196 00:10:40,200 --> 00:10:42,840 Speaker 2: not much, and we're and that is sort of turning 197 00:10:42,920 --> 00:10:44,200 Speaker 2: into like a mini scandal. 198 00:10:44,800 --> 00:10:49,760 Speaker 4: Earlier today or yesterday, Connecticut Senator Richard Blumenthal sent a 199 00:10:49,800 --> 00:10:51,120 Speaker 4: letter basically saying, we need. 200 00:10:51,000 --> 00:10:51,679 Speaker 2: To explain this. 201 00:10:52,280 --> 00:10:56,280 Speaker 4: You see, like it's gonna be hard for Musk to 202 00:10:56,280 --> 00:10:59,439 Speaker 4: to monetize this without creating even more. 203 00:11:00,559 --> 00:11:01,440 Speaker 2: From the Tesla side. 204 00:11:01,480 --> 00:11:03,240 Speaker 4: From the Tesla side, but you know, I think even 205 00:11:03,280 --> 00:11:05,240 Speaker 4: from the SpaceX side, frankly, I think, but I think 206 00:11:05,280 --> 00:11:07,600 Speaker 4: it's easier from the space SpaceX has a much easier 207 00:11:07,760 --> 00:11:08,360 Speaker 4: so hard. 208 00:11:08,160 --> 00:11:11,520 Speaker 2: To monetize there. But but dan As Craig was alluding 209 00:11:11,559 --> 00:11:16,040 Speaker 2: to earlier It's really easy because Tesla is such a 210 00:11:16,120 --> 00:11:19,120 Speaker 2: you know, a is a is a consumer product for 211 00:11:19,200 --> 00:11:21,720 Speaker 2: consumers to take it out on the brand in a 212 00:11:21,760 --> 00:11:24,920 Speaker 2: way that you know, SpaceX is largely shielded from that, right, 213 00:11:24,960 --> 00:11:26,000 Speaker 2: you cannot punish it. 214 00:11:26,000 --> 00:11:28,280 Speaker 3: I mean, I suppose you, if you were really angry, 215 00:11:28,360 --> 00:11:30,480 Speaker 3: you could like show up at the beach in Boca 216 00:11:30,559 --> 00:11:33,160 Speaker 3: Chica and try to like swing by in your boat 217 00:11:33,200 --> 00:11:35,440 Speaker 3: with a protest sign or fly a bunch of drones 218 00:11:35,520 --> 00:11:37,880 Speaker 3: or something. But but yeah, I mean the thing about 219 00:11:37,920 --> 00:11:41,600 Speaker 3: Tesla showrooms is that they are in visible locations in 220 00:11:41,760 --> 00:11:45,320 Speaker 3: congressional districts all across the country. And you know this 221 00:11:45,400 --> 00:11:48,600 Speaker 3: whole quote unquote Tesla takedown protests. It's like a very 222 00:11:49,040 --> 00:11:52,920 Speaker 3: easy way for like the average citizen to participate in 223 00:11:53,120 --> 00:11:57,040 Speaker 3: something visible and the anchor is really about Doge. I mean, 224 00:11:57,720 --> 00:11:59,280 Speaker 3: I went to the one in Berkeley a couple of 225 00:11:59,280 --> 00:12:01,679 Speaker 3: weeks ago, and you know, it's all these people. Some 226 00:12:01,720 --> 00:12:03,800 Speaker 3: of them owned Teslas, some of them didn't, but they're 227 00:12:03,920 --> 00:12:07,280 Speaker 3: very upset about what Trump and Musk are doing Visa 228 00:12:07,360 --> 00:12:10,040 Speaker 3: VI Doge. And you can like go to the showroom 229 00:12:10,080 --> 00:12:11,760 Speaker 3: and then you can go out to lunch like this 230 00:12:11,880 --> 00:12:14,280 Speaker 3: is like the way that a lot of people are participating. 231 00:12:14,720 --> 00:12:16,560 Speaker 3: But I think you know, the other thing to just 232 00:12:16,600 --> 00:12:21,360 Speaker 3: remember about Tesla and sales is that Elon's politics aside, 233 00:12:21,760 --> 00:12:24,520 Speaker 3: the company has a really stale lineup. The cyber truck 234 00:12:24,600 --> 00:12:27,400 Speaker 3: is not doing well, so that is like the main thing. 235 00:12:27,600 --> 00:12:29,880 Speaker 3: Like there are a lot of other electric vehicles on 236 00:12:29,920 --> 00:12:33,120 Speaker 3: the market now and if you care about climate and 237 00:12:33,559 --> 00:12:35,840 Speaker 3: want to buy an EV Tesla is no longer the 238 00:12:35,880 --> 00:12:36,920 Speaker 3: game and talent. 239 00:12:36,760 --> 00:12:39,680 Speaker 4: Well guess because Musk kind of bet on this idea 240 00:12:39,720 --> 00:12:41,880 Speaker 4: that he didn't need to refresh the lineup, like he 241 00:12:42,040 --> 00:12:46,400 Speaker 4: thought that cars were essentially like software, you could just 242 00:12:46,480 --> 00:12:48,600 Speaker 4: update him the iPhone pretty much looks the same as 243 00:12:48,600 --> 00:12:51,640 Speaker 4: it's always you know, it's always looked, and that, you know, 244 00:12:51,880 --> 00:12:55,920 Speaker 4: basically the halo around the company was going to lift 245 00:12:55,960 --> 00:12:59,400 Speaker 4: it and make it possible to basically have an iPhone 246 00:12:59,400 --> 00:13:02,040 Speaker 4: of cars. Like if you look way back before we 247 00:13:02,360 --> 00:13:06,080 Speaker 4: started hearing the Robotaxi story, that was the extreme bowl 248 00:13:06,200 --> 00:13:09,160 Speaker 4: case for Tesla. It was that it was going to 249 00:13:09,240 --> 00:13:11,319 Speaker 4: change the paradigm of the car business. 250 00:13:11,360 --> 00:13:13,439 Speaker 2: The hardware didn't matter anymore. All that mattered was a 251 00:13:13,480 --> 00:13:14,160 Speaker 2: solid That. 252 00:13:14,160 --> 00:13:17,720 Speaker 4: Story was like really dependent on the Elon Musk brand 253 00:13:17,880 --> 00:13:21,480 Speaker 4: on Elon Musk as this innovator, as this as this 254 00:13:21,520 --> 00:13:23,720 Speaker 4: guy who was bringing the world to this world of 255 00:13:23,760 --> 00:13:26,800 Speaker 4: abundance and cleaner technology and all those things, and now 256 00:13:26,800 --> 00:13:29,560 Speaker 4: he stands, you know, for something else. And it seems 257 00:13:29,600 --> 00:13:33,640 Speaker 4: like Elon Musk is trying, at least to some extent, 258 00:13:33,679 --> 00:13:34,240 Speaker 4: to address this. 259 00:13:34,320 --> 00:13:34,480 Speaker 2: You know. 260 00:13:34,520 --> 00:13:39,360 Speaker 4: He went on Joe Rogan's podcast again, over three hours long. Again, 261 00:13:39,760 --> 00:13:43,600 Speaker 4: it's kind of my day on Friday was just sort 262 00:13:43,600 --> 00:13:46,880 Speaker 4: of waiting for the guillotine to fall, you know, I 263 00:13:46,880 --> 00:13:50,840 Speaker 4: have to drop everything and listen to this. But anyway, 264 00:13:51,080 --> 00:13:53,640 Speaker 4: it really seemed like the point of the interview. They talked, 265 00:13:53,679 --> 00:13:56,520 Speaker 4: they talked, they hit all the usual Rogan topics. They 266 00:13:56,600 --> 00:13:59,320 Speaker 4: talked about flying saucers, they talked about is there a 267 00:13:59,360 --> 00:14:03,319 Speaker 4: secret repulsion system. I can't remember if they hit ancient 268 00:14:03,360 --> 00:14:06,160 Speaker 4: aliens or not, but I would be just absolutely shocked 269 00:14:06,160 --> 00:14:09,120 Speaker 4: if they didn't somehow. But it seemed like the real 270 00:14:09,160 --> 00:14:12,480 Speaker 4: point of the appearance was essentially to deny that he 271 00:14:12,520 --> 00:14:17,200 Speaker 4: had made a Nazi salute at the inauguration. Rogan kind 272 00:14:17,200 --> 00:14:19,640 Speaker 4: of backed him up on that. They moved on from 273 00:14:19,680 --> 00:14:23,360 Speaker 4: it very quickly. It didn't it wasn't didn't feel super 274 00:14:23,880 --> 00:14:27,080 Speaker 4: enthusiastic on Rogan's part, but they sort of got through it, 275 00:14:26,880 --> 00:14:29,800 Speaker 4: and it really seemed like an effort to address some 276 00:14:29,880 --> 00:14:32,720 Speaker 4: of these slogans that are being chanted by protesters, as 277 00:14:32,760 --> 00:14:35,400 Speaker 4: well as the ad campaign we talked about the other day, 278 00:14:36,000 --> 00:14:38,880 Speaker 4: you know, where people were putting up these posters say 279 00:14:39,000 --> 00:14:42,960 Speaker 4: calling the Tesla a swastikar, in reference, of course to 280 00:14:43,080 --> 00:14:46,600 Speaker 4: Elon Musk's gesture at the inauguration, which he said was 281 00:14:46,640 --> 00:14:47,680 Speaker 4: not a Nazi salute. 282 00:14:47,680 --> 00:14:55,920 Speaker 2: For the record, right now, Craig, back to you. Give 283 00:14:55,960 --> 00:14:58,480 Speaker 2: us the latest update on sales numbers out of Europe. 284 00:14:58,680 --> 00:15:03,680 Speaker 2: I know they were starting to look gram they're really Graham. 285 00:15:03,680 --> 00:15:03,920 Speaker 3: We have. 286 00:15:03,920 --> 00:15:06,320 Speaker 2: Have we had any fresh reports in recent days? 287 00:15:06,560 --> 00:15:09,840 Speaker 5: Yeah, I mean I do want to just quickly, you know, 288 00:15:10,000 --> 00:15:12,080 Speaker 5: go back to when Dana was talking about how the 289 00:15:12,080 --> 00:15:15,240 Speaker 5: first quarter is always seasonally really slow for Tesla but 290 00:15:15,280 --> 00:15:18,640 Speaker 5: also for the industry. Last year, the first quarter was 291 00:15:18,760 --> 00:15:22,040 Speaker 5: really crummy for Tesla. So not only are the numbers 292 00:15:22,080 --> 00:15:24,880 Speaker 5: I'm about to share not good, but they're sort of, 293 00:15:25,040 --> 00:15:28,400 Speaker 5: you know, off of an already depressing level. And so 294 00:15:28,920 --> 00:15:31,680 Speaker 5: you know, in January we saw a forty five percent 295 00:15:31,920 --> 00:15:36,000 Speaker 5: drop across Europe just for that month, some of the 296 00:15:36,040 --> 00:15:39,960 Speaker 5: biggest markets in Europe, you know, down sixty three percent 297 00:15:40,040 --> 00:15:44,600 Speaker 5: in France, down fifty nine percent in Germany. In February, 298 00:15:44,680 --> 00:15:47,640 Speaker 5: we are just starting to get reports for a couple 299 00:15:47,680 --> 00:15:51,640 Speaker 5: of the biggest markets in France down twenty six percent, 300 00:15:51,800 --> 00:15:56,320 Speaker 5: So I guess that's you know, you know, incrementally some improvement, 301 00:15:56,360 --> 00:15:59,360 Speaker 5: but that's still you know, year to date is a 302 00:15:59,400 --> 00:16:03,640 Speaker 5: pretty ugly figure. They're down dramatically in Norway, Sweden, and Denmark. 303 00:16:03,640 --> 00:16:07,480 Speaker 5: And we'll get some figures from Germany and the UK 304 00:16:07,640 --> 00:16:11,160 Speaker 5: on Wednesday. And then I think we mentioned already in China. 305 00:16:11,400 --> 00:16:13,840 Speaker 5: You know, the wholesales figures out of China. 306 00:16:13,960 --> 00:16:16,480 Speaker 2: Yeah, yeah, now explain those numbers. So those are different 307 00:16:16,600 --> 00:16:19,880 Speaker 2: than the numbers you were just describing out of Europe, 308 00:16:19,920 --> 00:16:20,520 Speaker 2: is that right. 309 00:16:21,160 --> 00:16:21,920 Speaker 1: Yeah, that's right. 310 00:16:22,000 --> 00:16:25,160 Speaker 5: So in Europe we're talking about registrations, so that's actually 311 00:16:25,280 --> 00:16:28,000 Speaker 5: you know, cars being registered and handed over to consumers. 312 00:16:28,520 --> 00:16:33,360 Speaker 5: In terms of in China, these wholesales, this is basically 313 00:16:33,480 --> 00:16:37,280 Speaker 5: shipments from the factory that Tesla has in Shanghai. So 314 00:16:37,960 --> 00:16:42,520 Speaker 5: this is more akin to production than it is retail sales. 315 00:16:42,960 --> 00:16:45,760 Speaker 5: And so I do think one point that we absolutely 316 00:16:45,800 --> 00:16:48,840 Speaker 5: have to mention is that there is this real question 317 00:16:48,960 --> 00:16:52,600 Speaker 5: of how much of this is elon sort of self 318 00:16:52,640 --> 00:16:55,720 Speaker 5: owning and how much of this is. 319 00:16:55,520 --> 00:16:57,280 Speaker 1: A model why issue? 320 00:16:57,360 --> 00:17:00,000 Speaker 5: And we should note that as stale as the lineup 321 00:17:00,200 --> 00:17:03,400 Speaker 5: is that the company is giving a facelift to the 322 00:17:03,400 --> 00:17:06,520 Speaker 5: Model Y that is far and away their most important vehicle, 323 00:17:07,160 --> 00:17:10,879 Speaker 5: and you know, having a multi week shutdown of the 324 00:17:10,920 --> 00:17:13,920 Speaker 5: Model Y was a big factor in why wholesales were 325 00:17:13,960 --> 00:17:17,919 Speaker 5: down forty nine percent in February. The question, of course 326 00:17:18,080 --> 00:17:20,720 Speaker 5: is how much of that is you know, disruption and 327 00:17:21,160 --> 00:17:23,640 Speaker 5: the time it takes to rent back up from that disruption, 328 00:17:24,040 --> 00:17:27,040 Speaker 5: and how much of it is also you know, not 329 00:17:27,240 --> 00:17:30,399 Speaker 5: feeling the need to crank out as many Model threes 330 00:17:30,480 --> 00:17:32,840 Speaker 5: because that hasn't been in strong demand. 331 00:17:33,000 --> 00:17:36,000 Speaker 2: That production is both for sale in China and then 332 00:17:36,040 --> 00:17:39,520 Speaker 2: for export to some of their export markets, including Europe, 333 00:17:39,600 --> 00:17:43,960 Speaker 2: including Europe, right I see now, Dan, So while all 334 00:17:44,000 --> 00:17:47,160 Speaker 2: this is happening, while the stock is giving it up 335 00:17:47,280 --> 00:17:50,320 Speaker 2: in a big way, Must came out in recent days 336 00:17:50,320 --> 00:17:54,040 Speaker 2: and eked a not a forecast, but in ambition they 337 00:17:54,080 --> 00:17:57,640 Speaker 2: hope and aspiration that the stock would rise to seven 338 00:17:57,720 --> 00:18:00,679 Speaker 2: hundred dollars over in coming years a rally of one 339 00:18:00,760 --> 00:18:04,240 Speaker 2: thousand percent Dana Hall, and I'm like, hmm, this seems 340 00:18:04,280 --> 00:18:06,200 Speaker 2: like the old Carnival Barker at work here. 341 00:18:06,960 --> 00:18:09,119 Speaker 3: Yeah. I mean he's sort of said this before. I 342 00:18:09,119 --> 00:18:11,760 Speaker 3: mean he said multiple times that, like, Tesla has the 343 00:18:11,800 --> 00:18:14,439 Speaker 3: potential to be the most valuable company in the world, 344 00:18:14,480 --> 00:18:17,120 Speaker 3: and it's going to pend depend on strong it's execution, 345 00:18:17,280 --> 00:18:19,280 Speaker 3: but he's optimistic that there's a path to get there. 346 00:18:19,320 --> 00:18:21,919 Speaker 3: Blah blah blah. I mean, it's all about Tesla as 347 00:18:21,960 --> 00:18:24,960 Speaker 3: an AI company. And I think the truth is Elon 348 00:18:25,000 --> 00:18:28,040 Speaker 3: Busk is bored of cars, like he is bored of 349 00:18:28,080 --> 00:18:30,720 Speaker 3: building cars. The future of the company is all about 350 00:18:31,040 --> 00:18:35,040 Speaker 3: the Robotaxi. We reported last week exclusively that Tesla has 351 00:18:35,080 --> 00:18:37,159 Speaker 3: applied for a permit to kind of get into the 352 00:18:37,200 --> 00:18:41,159 Speaker 3: right hailing business in California. They have not They have 353 00:18:41,280 --> 00:18:44,440 Speaker 3: not talked at all about really their future product lineup. 354 00:18:44,520 --> 00:18:46,080 Speaker 3: Like they're supposed to be coming out with a more 355 00:18:46,080 --> 00:18:50,080 Speaker 3: affordable version. People think it's like a decontented Model Y, 356 00:18:50,359 --> 00:18:52,399 Speaker 3: or maybe it's a cheaper car, or maybe it's just 357 00:18:52,400 --> 00:18:54,600 Speaker 3: the robotaxi. But there hasn't been a lot of visibility 358 00:18:54,600 --> 00:18:57,960 Speaker 3: into like what their product pipeline is they showed off 359 00:18:58,000 --> 00:19:00,600 Speaker 3: like a van at some point we have heard anything 360 00:19:00,600 --> 00:19:03,040 Speaker 3: else about the van. So just this whole idea that 361 00:19:03,080 --> 00:19:05,480 Speaker 3: this is a car company with like a whole product 362 00:19:05,560 --> 00:19:08,840 Speaker 3: cycle of cars. They're not talking about that. Elon is 363 00:19:08,880 --> 00:19:13,560 Speaker 3: only talking about AI and Grock and Doge. And he's 364 00:19:13,560 --> 00:19:16,800 Speaker 3: been in Washington, d C. Basically since the election. He's 365 00:19:16,840 --> 00:19:19,760 Speaker 3: been in DC or Texas or mar Alago. 366 00:19:19,960 --> 00:19:22,560 Speaker 2: Yeah, you know, he indeed is acting, as you said, 367 00:19:22,600 --> 00:19:24,919 Speaker 2: like a board car maker. And you know, Max, it 368 00:19:24,960 --> 00:19:28,240 Speaker 2: reminds me of an old Gabrielle Garcia Marquez line, which 369 00:19:28,320 --> 00:19:32,040 Speaker 2: is a board writer makes for a board reader. And 370 00:19:32,040 --> 00:19:33,720 Speaker 2: in this case, yea, I would say a board car 371 00:19:33,800 --> 00:19:36,920 Speaker 2: maker makes for a board car driver. You know, it 372 00:19:37,240 --> 00:19:41,320 Speaker 2: seems like between the you know, the political pushback against 373 00:19:41,359 --> 00:19:43,520 Speaker 2: him and the fact that he doesn't really seem to 374 00:19:43,640 --> 00:19:47,000 Speaker 2: much care about cars right now, is not a great mix. 375 00:19:47,440 --> 00:19:50,919 Speaker 4: Yeah, one hundred percent. And even I think part of 376 00:19:50,920 --> 00:19:53,960 Speaker 4: the problem here with the stock is that, in addition 377 00:19:54,040 --> 00:19:56,199 Speaker 4: to the sales problems that we've been talking about, in 378 00:19:56,200 --> 00:19:59,200 Speaker 4: addition to the challenges with the lineup that you're kind 379 00:19:59,200 --> 00:20:03,400 Speaker 4: of bringing up, they're behind on robotaxis. So even if 380 00:20:03,440 --> 00:20:07,199 Speaker 4: Elon Musk hits this very ambitious goal of launching a 381 00:20:07,320 --> 00:20:12,679 Speaker 4: robotaxi service in Austin, Texas in June, he's behind today 382 00:20:12,800 --> 00:20:15,680 Speaker 4: or yesterday. This week, you know, Uber and Weimo announced 383 00:20:15,720 --> 00:20:18,479 Speaker 4: that they've they've been testing Weimo's been testing in Austin 384 00:20:19,080 --> 00:20:22,200 Speaker 4: for some time. They are going to open Weaimo up 385 00:20:22,280 --> 00:20:26,080 Speaker 4: to customers shortly so, so they've gotten beat to that market. 386 00:20:26,119 --> 00:20:28,200 Speaker 4: They're not going to be the first one of that market. 387 00:20:28,400 --> 00:20:32,520 Speaker 4: And even the kind of novelty of the robotaxi we're 388 00:20:32,520 --> 00:20:37,760 Speaker 4: seeing in China bid giving away, it's basically equivalent of 389 00:20:37,960 --> 00:20:41,760 Speaker 4: Tesla FSD, the so called full self driving system for 390 00:20:41,760 --> 00:20:45,479 Speaker 4: free right, Like, it's not clear that these technologies that 391 00:20:45,600 --> 00:20:47,679 Speaker 4: he has said are going to be worth you know, 392 00:20:47,800 --> 00:20:51,320 Speaker 4: thirty trillion dollars or something crazy, are actually going to 393 00:20:51,359 --> 00:20:52,919 Speaker 4: be worth that that they're going to be worth that 394 00:20:52,920 --> 00:20:56,000 Speaker 4: to consumers. It isn't working out that way for the 395 00:20:56,000 --> 00:20:59,000 Speaker 4: companies that are already in these markets. 396 00:20:59,280 --> 00:21:02,440 Speaker 2: Okay, we're gonna wrap it up there with you, Craig. 397 00:21:02,920 --> 00:21:05,000 Speaker 2: I would just say a couple of final thoughts. One is, 398 00:21:05,520 --> 00:21:07,439 Speaker 2: as my son has often pointed out to us, we 399 00:21:07,520 --> 00:21:10,160 Speaker 2: are a contrarian indicator here. So every time we talk 400 00:21:10,200 --> 00:21:13,720 Speaker 2: about the stock collapsing in a big way, it immediately rebounds. 401 00:21:13,720 --> 00:21:16,880 Speaker 2: Everybody should brace for the rebound. But Craig, we want 402 00:21:16,960 --> 00:21:22,360 Speaker 2: you back on when you convert your Mazda to a Tesla. 403 00:21:22,880 --> 00:21:26,000 Speaker 2: Take a picture of it, okay, and send it over 404 00:21:26,600 --> 00:21:28,400 Speaker 2: and then and then we'll get you on and we'll 405 00:21:28,440 --> 00:21:29,280 Speaker 2: interview about that. 406 00:21:29,520 --> 00:21:31,920 Speaker 4: I'm gonna convert my Honda Odyssey to a cyber truck 407 00:21:32,040 --> 00:21:34,000 Speaker 4: just to be I like it. 408 00:21:34,400 --> 00:21:38,160 Speaker 5: I changed over my Masta because I knew Elon was crazy. 409 00:21:37,760 --> 00:21:41,760 Speaker 2: That's exactly it, Craig, talk soon. 410 00:21:41,880 --> 00:21:45,040 Speaker 4: Thanks. 411 00:21:47,160 --> 00:21:50,680 Speaker 2: Okay, mister Chaffkin. You have some feuds to report, but 412 00:21:51,040 --> 00:21:54,320 Speaker 2: kind of weird feuds. It's big, high concept feuds. 413 00:21:54,359 --> 00:21:58,719 Speaker 4: Well, Elon Musk, I haven't actually checked the data, and 414 00:21:58,880 --> 00:22:00,600 Speaker 4: I'm sure we will do this at some point, but 415 00:22:01,040 --> 00:22:04,440 Speaker 4: he seems like he's been more active on X than ever, 416 00:22:04,680 --> 00:22:08,160 Speaker 4: or as active as ever, and and yet it's it's 417 00:22:08,200 --> 00:22:10,720 Speaker 4: so many feuds that it's easy to even lose them. 418 00:22:10,840 --> 00:22:12,360 Speaker 2: The first one I want to start with, I feel 419 00:22:12,359 --> 00:22:15,639 Speaker 2: like we went from a dearth of feud we had 420 00:22:15,400 --> 00:22:17,840 Speaker 2: a few drought to all of a sudden, you feel 421 00:22:17,840 --> 00:22:20,160 Speaker 2: like they're all over the place. Again you see feuds everywhere. 422 00:22:20,280 --> 00:22:23,080 Speaker 4: Yeah, they're everywhere, and so many feuds in fact that 423 00:22:23,160 --> 00:22:26,960 Speaker 4: he is feuding with abstract concepts. 424 00:22:27,680 --> 00:22:29,360 Speaker 2: So this, so this is and this is. 425 00:22:29,280 --> 00:22:31,280 Speaker 4: The most important feud I think going on right now. 426 00:22:31,480 --> 00:22:34,920 Speaker 4: It is not just because Elon has been exing about 427 00:22:34,920 --> 00:22:36,600 Speaker 4: it and so on, but because it it you know, 428 00:22:36,600 --> 00:22:39,680 Speaker 4: it affects all of us. It is Elon Musk and GDP, 429 00:22:40,160 --> 00:22:43,160 Speaker 4: the the the concept of gross domestic. 430 00:22:42,720 --> 00:22:44,760 Speaker 2: Place wrestling with gross domestic product. 431 00:22:44,960 --> 00:22:49,000 Speaker 4: He has said, I think more than once that he 432 00:22:49,080 --> 00:22:51,720 Speaker 4: thinks it's a like a not a good statistic because 433 00:22:52,160 --> 00:22:54,879 Speaker 4: it it includes government spending. If you better if it 434 00:22:54,880 --> 00:22:58,880 Speaker 4: didn't include government spending. We've seen others in the Trump world, 435 00:22:58,960 --> 00:23:02,560 Speaker 4: including Howard Lutnek, the Commerce Secretary, pick up on this idea. 436 00:23:03,080 --> 00:23:06,200 Speaker 4: And of course what's behind this is that the Atlanta 437 00:23:06,240 --> 00:23:09,119 Speaker 4: Federal Reserve said that it thinks there's going to be 438 00:23:09,119 --> 00:23:11,840 Speaker 4: a recession, that that GDP is falling. 439 00:23:11,560 --> 00:23:14,240 Speaker 2: Well, or if not an outright recession, at least sees 440 00:23:14,359 --> 00:23:18,800 Speaker 2: one really bad sorry, yes, a pretty bad economic contraction 441 00:23:18,920 --> 00:23:19,320 Speaker 2: coming up. 442 00:23:19,359 --> 00:23:22,439 Speaker 4: And of course, you know, first of all, it's not 443 00:23:22,480 --> 00:23:24,960 Speaker 4: surprising that people would be thinking about this, and as 444 00:23:24,960 --> 00:23:28,480 Speaker 4: Elon Musk well knows, because he's you know, enacting this 445 00:23:28,640 --> 00:23:32,440 Speaker 4: personal austerity measure in the in the federal government and 446 00:23:32,760 --> 00:23:37,199 Speaker 4: with many federal contractors there there, there is going to 447 00:23:37,240 --> 00:23:40,880 Speaker 4: be at least some economic pain, at least by design. 448 00:23:41,119 --> 00:23:43,320 Speaker 3: He's basically saying it's going to be like short term 449 00:23:43,359 --> 00:23:46,520 Speaker 3: pain for long term gain. Right. Yes, people are going 450 00:23:46,600 --> 00:23:49,399 Speaker 3: to be fired and lose their jobs, but like eventually, 451 00:23:49,560 --> 00:23:52,640 Speaker 3: like interest rates will come down and we'll get we'll 452 00:23:52,680 --> 00:23:54,320 Speaker 3: stop you know, this deficit spending. 453 00:23:54,560 --> 00:23:57,600 Speaker 2: Yeah, now, and listen, if they managed to pull that off, 454 00:23:58,040 --> 00:24:01,880 Speaker 2: that would be something I mean economic you know, adjustments, 455 00:24:01,880 --> 00:24:06,200 Speaker 2: fiscal adjustments. Fiscal austerity is a tried in true formula 456 00:24:06,520 --> 00:24:10,159 Speaker 2: and game plan implemented by leaders throughout the world, certainly 457 00:24:10,160 --> 00:24:12,560 Speaker 2: in the developing world. I mean when you mentioned that 458 00:24:12,720 --> 00:24:16,720 Speaker 2: chainsaw earlier, Dana, that that Musk was wielding the other day, 459 00:24:16,760 --> 00:24:19,520 Speaker 2: that was a chainsaw handed to him right now by 460 00:24:19,520 --> 00:24:22,679 Speaker 2: the greatest practitioner of this model, Javier Malay, an ally 461 00:24:22,760 --> 00:24:26,240 Speaker 2: of Musks in Argentina and Melay has done this. He 462 00:24:26,280 --> 00:24:30,040 Speaker 2: did radically got government spending in a country that has 463 00:24:30,080 --> 00:24:32,440 Speaker 2: a bad history of overspending and there was a lot 464 00:24:32,480 --> 00:24:36,080 Speaker 2: of lot of real short term pain, but there's a 465 00:24:36,119 --> 00:24:38,840 Speaker 2: place where they are actually seeing the fruits of it now. 466 00:24:39,080 --> 00:24:41,879 Speaker 2: Inflation is coming down rapidly. Argentines are happy with me. 467 00:24:41,960 --> 00:24:42,120 Speaker 5: Lay. 468 00:24:42,480 --> 00:24:45,160 Speaker 2: I don't know, though, Max, at this point that team 469 00:24:45,280 --> 00:24:49,960 Speaker 2: Musk and team Doge have actually cut enough to truly 470 00:24:50,359 --> 00:24:53,920 Speaker 2: drive the economy. My sense is what's driving the economy 471 00:24:53,920 --> 00:24:55,720 Speaker 2: and sentiment. And again the fact that the not just 472 00:24:55,760 --> 00:24:58,400 Speaker 2: Tesla is crashing today but the broader market is crashing 473 00:24:58,800 --> 00:25:01,879 Speaker 2: is just the sense that the wh Trump package, certainly 474 00:25:01,880 --> 00:25:05,040 Speaker 2: with the terrorists and everything, is just spoiling consumer sentiment. 475 00:25:05,160 --> 00:25:08,399 Speaker 4: And yeah, I think that's right. Although they are laying 476 00:25:08,440 --> 00:25:12,440 Speaker 4: off a substantial number of government employees, and I don't 477 00:25:12,440 --> 00:25:14,280 Speaker 4: think it would show it be showing up just yet. 478 00:25:14,800 --> 00:25:17,760 Speaker 2: I don't know. I don't know that it's enough at 479 00:25:17,760 --> 00:25:20,760 Speaker 2: this point to have a to have a critical mass there. 480 00:25:20,840 --> 00:25:24,000 Speaker 2: But in any of it, he's grappling with mister Gross 481 00:25:24,000 --> 00:25:26,920 Speaker 2: and mister Product. Does mister Product have anything to say 482 00:25:26,920 --> 00:25:28,919 Speaker 2: in return? He's got no comment? 483 00:25:29,000 --> 00:25:31,879 Speaker 4: Okay, Well, I will say, uh Axios did a pre 484 00:25:31,960 --> 00:25:35,240 Speaker 4: good piece on this yesterday basically pointing out that this 485 00:25:35,240 --> 00:25:37,919 Speaker 4: this has been a question It's not like economists are 486 00:25:38,000 --> 00:25:42,280 Speaker 4: unaware of the issues with GDP. The you know there 487 00:25:42,320 --> 00:25:44,480 Speaker 4: people talk about this all the time. In fact, the 488 00:25:44,560 --> 00:25:48,359 Speaker 4: GDP statistics are frequently shown in different, you know, different ways. 489 00:25:48,480 --> 00:25:51,159 Speaker 4: The problem is it's pretty hard to remove. If you 490 00:25:51,200 --> 00:25:54,120 Speaker 4: remove government spending, you arguably remove you know, a bunch 491 00:25:54,119 --> 00:25:56,639 Speaker 4: of the economy. The government spends money, and then it's 492 00:25:56,640 --> 00:25:59,960 Speaker 4: sort of the people who are working at those jobs 493 00:26:00,040 --> 00:26:01,960 Speaker 4: and money elsewhere. Like it's it's hard to untangle. 494 00:26:02,000 --> 00:26:04,920 Speaker 2: As a former economics reporter, I have heard this debate 495 00:26:04,960 --> 00:26:06,760 Speaker 2: many times, I will just say that at this point 496 00:26:06,760 --> 00:26:09,840 Speaker 2: in the US, where where government spending is indeed a 497 00:26:09,960 --> 00:26:13,280 Speaker 2: real driving force in this economy, and because it's just 498 00:26:13,800 --> 00:26:16,840 Speaker 2: grown in recent years, it is indeed incredibly difficult to 499 00:26:17,240 --> 00:26:18,080 Speaker 2: disentangle the two. 500 00:26:18,160 --> 00:26:18,359 Speaker 3: I mean. 501 00:26:18,560 --> 00:26:22,560 Speaker 4: The awkwardness is that Trump did not run on this program. 502 00:26:22,600 --> 00:26:25,680 Speaker 4: Really he yeah, taught, yes, Like he brought up Elon 503 00:26:25,720 --> 00:26:27,760 Speaker 4: and said Elon was going to make things more efficient, 504 00:26:28,040 --> 00:26:30,040 Speaker 4: but he didn't. But he didn't quite say the thing 505 00:26:30,400 --> 00:26:32,280 Speaker 4: that Elon has said, which is we're going to have 506 00:26:32,600 --> 00:26:35,639 Speaker 4: you know, a couple of years of unpleasantness for a 507 00:26:36,000 --> 00:26:38,520 Speaker 4: you know, great future. And and it's hard to know 508 00:26:38,880 --> 00:26:41,040 Speaker 4: how you know how the politics are going to play. 509 00:26:41,160 --> 00:26:44,240 Speaker 4: You know, my suspicion is that a lot of Trump voters, 510 00:26:45,000 --> 00:26:47,840 Speaker 4: not to mention democrats, are are going to be upset. 511 00:26:47,960 --> 00:26:49,080 Speaker 2: Okay, what's your next feud? 512 00:26:49,400 --> 00:26:52,280 Speaker 4: Okay, next feud? This is kind of a similar thing. 513 00:26:52,320 --> 00:26:59,560 Speaker 4: This is elon against global alliances. So NATO, like UH, 514 00:26:59,640 --> 00:27:04,439 Speaker 4: NATO and the United Nations. So so he a you know, 515 00:27:04,840 --> 00:27:07,159 Speaker 4: roughly we've been using this measure for about eighty years. 516 00:27:07,680 --> 00:27:11,640 Speaker 4: The UN was the UN founded about seventy seventy five 517 00:27:11,680 --> 00:27:17,520 Speaker 4: years ago. He responded to a blue check tweet saying 518 00:27:17,520 --> 00:27:20,720 Speaker 4: it's time to leave NATO and the UN, saying I agree, 519 00:27:20,960 --> 00:27:26,119 Speaker 4: So so strike one for leaving the UN. Okay, no 520 00:27:26,200 --> 00:27:29,159 Speaker 4: response from the UN, as know just yet. 521 00:27:29,040 --> 00:27:32,840 Speaker 2: The Secretary General didn't decide to chime in. Okay, So 522 00:27:32,880 --> 00:27:37,520 Speaker 2: he's taking on GDP, NATO, the UN. He also seems 523 00:27:37,560 --> 00:27:38,960 Speaker 2: to be Now this is a much more or do 524 00:27:39,000 --> 00:27:40,560 Speaker 2: you have any more? Because I actually have him in 525 00:27:40,560 --> 00:27:43,440 Speaker 2: there a zillion fail. Can I give you to give 526 00:27:43,480 --> 00:27:46,719 Speaker 2: you the two most geopolitically high concept Can I give 527 00:27:46,760 --> 00:27:48,240 Speaker 2: you one that's just sort of more of an old 528 00:27:48,240 --> 00:27:50,600 Speaker 2: school brawl. Yes, But the other side hasn't taken the 529 00:27:50,600 --> 00:27:55,600 Speaker 2: pit yet, and it is Elon Musk versus Mike Myers. Now, 530 00:27:55,720 --> 00:27:59,080 Speaker 2: did anybody or did everybody see the Saturday Night Live skit? 531 00:27:59,160 --> 00:28:01,919 Speaker 2: They saw the Mic Myer Mike Myers doing Elon. We 532 00:28:02,000 --> 00:28:04,480 Speaker 2: have a we have an audio clip, and I don't 533 00:28:04,520 --> 00:28:06,680 Speaker 2: actually see it. All right, magnus hit us with the clip. 534 00:28:06,760 --> 00:28:07,400 Speaker 3: I've watched it. 535 00:28:08,960 --> 00:28:13,680 Speaker 2: I really enjoy everything you're doing with dough Gelong. They're 536 00:28:13,760 --> 00:28:17,960 Speaker 2: saying I'm firing people with no cools, but I do 537 00:28:18,119 --> 00:28:30,879 Speaker 2: have caols. It's cools. I feel like glitch now. I 538 00:28:30,960 --> 00:28:33,879 Speaker 2: myself thought it was pretty damn funny. Elon did not. 539 00:28:34,160 --> 00:28:40,560 Speaker 2: I believe Elon's ekes was. Uh. Humor fails when it lies, you. 540 00:28:40,560 --> 00:28:42,800 Speaker 4: Know, I gotta I guess I have to add my 541 00:28:43,160 --> 00:28:47,920 Speaker 4: abstract feud list to Elon Musk Versus Humor. Now, just 542 00:28:47,960 --> 00:28:50,800 Speaker 4: to critique the Myers performance for a minute. 543 00:28:50,840 --> 00:28:54,680 Speaker 2: Oh, so you're with Musk. It's match Chapion and Elon 544 00:28:54,800 --> 00:28:56,320 Speaker 2: Musk versus Mike Myers. 545 00:28:56,880 --> 00:29:00,760 Speaker 4: I think the accent needs a little work probably, I 546 00:29:00,840 --> 00:29:04,480 Speaker 4: thought were strong, and the kind of the way he 547 00:29:04,840 --> 00:29:08,200 Speaker 4: sort of presented Musks kind of manic, you know, you know, 548 00:29:08,320 --> 00:29:12,120 Speaker 4: pinballing from like joking, not joking, that whole thing like 549 00:29:12,200 --> 00:29:15,560 Speaker 4: that felt very true. And then the kind of dynamic 550 00:29:15,600 --> 00:29:18,040 Speaker 4: between Musk and Trump was was was quite funny. 551 00:29:18,480 --> 00:29:20,440 Speaker 2: No, it was, it was brilliant, and they turned it 552 00:29:20,440 --> 00:29:23,920 Speaker 2: around really quickly. Although no Max disapproves of the accent. 553 00:29:24,040 --> 00:29:27,920 Speaker 2: I will note Max one final point on Mike Myers. 554 00:29:28,160 --> 00:29:31,200 Speaker 2: He being Canadian and all, he had a T shirt 555 00:29:31,240 --> 00:29:34,920 Speaker 2: on which I had not realized initially that red Canada 556 00:29:35,240 --> 00:29:42,240 Speaker 2: is not for sale. Okay, so State of the Union 557 00:29:42,520 --> 00:29:45,280 Speaker 2: is just a few hours from now. For those listening 558 00:29:45,360 --> 00:29:50,120 Speaker 2: immediately once the pod, it's what should be about, sorry, 559 00:29:51,680 --> 00:29:56,920 Speaker 2: State of the Union? Trump will address Congress. Musk almost certainly. 560 00:29:56,920 --> 00:29:59,280 Speaker 2: I mean the first buddy's got to be there. What's 561 00:29:59,320 --> 00:30:01,440 Speaker 2: he wearing, Max Chafkin. 562 00:30:01,200 --> 00:30:04,320 Speaker 4: Oh man, I mean, he's clearly gonna wear his kind 563 00:30:04,320 --> 00:30:07,760 Speaker 4: of weird like Oval office get up, the you got 564 00:30:07,800 --> 00:30:08,480 Speaker 4: the dark maga. 565 00:30:08,520 --> 00:30:11,160 Speaker 2: He's not gonna go dressed up as Zelenski. 566 00:30:10,800 --> 00:30:15,360 Speaker 4: The sports coat, the text support or other novelty. 567 00:30:15,040 --> 00:30:17,760 Speaker 2: T shirt, dopacle, dressed down dark trouser. 568 00:30:17,880 --> 00:30:19,719 Speaker 4: The question is how many Musk children? 569 00:30:19,840 --> 00:30:19,959 Speaker 3: Right? 570 00:30:20,720 --> 00:30:24,600 Speaker 2: That's so you're your ex is definitely there. The question 571 00:30:24,680 --> 00:30:27,880 Speaker 2: is who which of Ex's siblings joins? 572 00:30:28,040 --> 00:30:29,520 Speaker 4: If X is not there, I would be shocked. 573 00:30:29,520 --> 00:30:32,520 Speaker 2: You're turning it off. No X, I'm not watching. Okay, 574 00:30:32,560 --> 00:30:33,440 Speaker 2: that's what you got there. 575 00:30:33,400 --> 00:30:36,560 Speaker 3: I'm super curious to see who Musk sits with, Like 576 00:30:36,680 --> 00:30:39,040 Speaker 3: is he sitting with the cabinet? Is he sitting with 577 00:30:39,080 --> 00:30:42,719 Speaker 3: his mom? Is he sitting with like Republican members of Congress? Like? 578 00:30:42,760 --> 00:30:45,080 Speaker 3: I want the seating chart of like the chamber. 579 00:30:45,840 --> 00:30:47,800 Speaker 4: I mean, the thing we really should be looking at, 580 00:30:47,960 --> 00:30:51,160 Speaker 4: especially for people who are interested in kind of Musk's 581 00:30:51,200 --> 00:30:54,960 Speaker 4: future here within the Trump administration is how Trump talks 582 00:30:55,000 --> 00:30:59,240 Speaker 4: about it. How enthusiastic does Trump praise Elon? How big 583 00:30:59,280 --> 00:31:01,720 Speaker 4: on Doge is he? Did you see any efforts to 584 00:31:01,800 --> 00:31:04,640 Speaker 4: Hedge or anything like that? You know, though, those are 585 00:31:04,680 --> 00:31:07,360 Speaker 4: going to be questions for me, although based on the 586 00:31:07,360 --> 00:31:10,000 Speaker 4: body language and everything we've seen recently, I would you know. 587 00:31:10,040 --> 00:31:12,560 Speaker 4: It seems like Trump will probably tout it as one 588 00:31:12,560 --> 00:31:13,280 Speaker 4: of his ears. 589 00:31:13,400 --> 00:31:16,960 Speaker 2: My out of the out of the box guess is 590 00:31:17,120 --> 00:31:22,040 Speaker 2: that Hedge is so great that he keeps Elon out 591 00:31:22,080 --> 00:31:22,520 Speaker 2: of the room. 592 00:31:22,680 --> 00:31:24,840 Speaker 3: What what did you say, keeps him out of the west? 593 00:31:24,960 --> 00:31:29,440 Speaker 2: Oh? Take them? You know, Elon doesn't show up out 594 00:31:29,440 --> 00:31:29,800 Speaker 2: of the room. 595 00:31:30,920 --> 00:31:31,080 Speaker 4: Room. 596 00:31:31,160 --> 00:31:31,560 Speaker 2: Wow. 597 00:31:33,320 --> 00:31:37,400 Speaker 3: David Elon is addressing Republican members of Congress before the 598 00:31:37,440 --> 00:31:37,920 Speaker 3: State of the. 599 00:31:37,920 --> 00:31:42,959 Speaker 2: Union like this is this is this is about as 600 00:31:42,960 --> 00:31:47,080 Speaker 2: good as my Kentucky Derby is uh m, what's his 601 00:31:47,160 --> 00:31:50,320 Speaker 2: name again? Your mcpatrick by the way, he's hurt, right mcpatrick, 602 00:31:50,480 --> 00:31:52,760 Speaker 2: But he's he runs this Saturday. He's back off the 603 00:31:52,760 --> 00:31:56,040 Speaker 2: bench this Saturday. Tampa Bay Downs. It's five o'clock. I'll 604 00:31:56,080 --> 00:32:00,800 Speaker 2: be watching right, okay, Max, Danna, thank you as always. 605 00:32:00,280 --> 00:32:01,000 Speaker 4: Great to be here. 606 00:32:01,080 --> 00:32:01,479 Speaker 3: Thank you. 607 00:32:05,640 --> 00:32:09,000 Speaker 2: This episode was produced by Stacy Wong. Anna Maserakas is 608 00:32:09,040 --> 00:32:12,440 Speaker 2: our editor, and Rayhan Harmanci our senior editor. Blake Maples 609 00:32:12,480 --> 00:32:16,480 Speaker 2: handles engineering, and Dave Procell fact checks. Our supervising producer 610 00:32:16,520 --> 00:32:19,800 Speaker 2: is Magnus Henrickson. The Elon Inc. Theme is written and 611 00:32:19,840 --> 00:32:24,000 Speaker 2: performed by Taka Yasuzawa and Alex Sugi Eira. Brendan Francis 612 00:32:24,080 --> 00:32:26,560 Speaker 2: Newnham is our executive producer, and Sage Bauman is the 613 00:32:26,560 --> 00:32:30,280 Speaker 2: head of Bloomberg Podcasts. A big thanks as always to 614 00:32:30,320 --> 00:32:34,440 Speaker 2: our supporters Joel Weber and Brad Stone. I'm David Papadopolis. 615 00:32:34,720 --> 00:32:37,240 Speaker 2: If you have a minute, rate and review our show. 616 00:32:37,520 --> 00:32:40,280 Speaker 2: It'll help other listeners find us, see you next week.