1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio, Studios, podcasts, radio news. 2 00:00:06,920 --> 00:00:08,399 Speaker 2: Get to it because this is one of the other 3 00:00:08,480 --> 00:00:11,240 Speaker 2: big companies reporting here after the close and what was 4 00:00:11,240 --> 00:00:15,840 Speaker 2: a busy earnings aftermarket day. Bloomberg Intelligence Global autos analyst 5 00:00:15,840 --> 00:00:18,880 Speaker 2: Steve Man joining us FROMBI headquarters in Princeton, New Jersey. 6 00:00:19,160 --> 00:00:21,240 Speaker 2: All right, Steve, come on in on this. So Tesla 7 00:00:21,280 --> 00:00:24,040 Speaker 2: shares down about three point four percent as we speak. 8 00:00:25,160 --> 00:00:27,880 Speaker 2: Why is it that there's some disappointment here? 9 00:00:28,200 --> 00:00:30,280 Speaker 1: Well, if you look at their earnings, they did take 10 00:00:30,320 --> 00:00:34,200 Speaker 1: a restructuring charge of about six hundred and twenty two 11 00:00:34,280 --> 00:00:36,440 Speaker 1: million used to exclude that. 12 00:00:36,479 --> 00:00:39,440 Speaker 3: They did beat consensus. 13 00:00:39,600 --> 00:00:43,080 Speaker 1: But I think if you look into the numbers, the 14 00:00:43,159 --> 00:00:48,360 Speaker 1: automotive gross margin continues to fall, and I think the 15 00:00:48,360 --> 00:00:53,440 Speaker 1: street was expecting it to kind of stabilize given that 16 00:00:53,560 --> 00:00:58,000 Speaker 1: price cuts have slowed down and battery costs have come down. 17 00:00:58,480 --> 00:01:00,880 Speaker 1: So there's still some concern and it's you know, when 18 00:01:01,000 --> 00:01:04,520 Speaker 1: is this gross margin gonna stop dropping? 19 00:01:04,880 --> 00:01:07,319 Speaker 4: Yeah, fourteen point six percent in the second quarter compared 20 00:01:07,319 --> 00:01:10,720 Speaker 4: to sixteen point four percent in the first quarter. What 21 00:01:10,760 --> 00:01:13,520 Speaker 4: do analysts want to see in terms of gross margin, like, 22 00:01:13,560 --> 00:01:15,120 Speaker 4: what's a realistic percentage? 23 00:01:16,200 --> 00:01:19,399 Speaker 1: Well, they did have they did reach as high as 24 00:01:19,440 --> 00:01:21,920 Speaker 1: twenty percent about a couple of years ago. It's gonna 25 00:01:21,920 --> 00:01:26,160 Speaker 1: be really tough to get back to that range. They're 26 00:01:26,160 --> 00:01:27,760 Speaker 1: gonna have to do a lot, you know. One of 27 00:01:27,760 --> 00:01:30,040 Speaker 1: the things that you know that I think the streets 28 00:01:30,040 --> 00:01:34,559 Speaker 1: talking about is the optimist humanoid robot that they're gonna 29 00:01:34,600 --> 00:01:39,160 Speaker 1: bring online internally and hopefully to cut cut some of 30 00:01:39,200 --> 00:01:40,160 Speaker 1: the fixed costs. 31 00:01:40,560 --> 00:01:42,199 Speaker 3: But that's gonna be a while. 32 00:01:42,680 --> 00:01:45,319 Speaker 1: I think they're gonna Tesla's gonna have to contend with, 33 00:01:45,920 --> 00:01:50,880 Speaker 1: you know, the continued price war in in China, continue 34 00:01:50,960 --> 00:01:54,240 Speaker 1: price decline in the US. But one of the things 35 00:01:54,240 --> 00:01:57,880 Speaker 1: that they're doing that could help, that could help is 36 00:01:57,920 --> 00:02:04,400 Speaker 1: expanding into markets like self. They just shipped more vehicles 37 00:02:04,400 --> 00:02:07,320 Speaker 1: in the UK and the now into the Middle East. 38 00:02:07,880 --> 00:02:11,239 Speaker 1: Hopefully the increased scale, and I think that would be 39 00:02:11,440 --> 00:02:13,760 Speaker 1: some of the questions we're going to have at the 40 00:02:13,760 --> 00:02:16,400 Speaker 1: earnings call is are they going to be able to 41 00:02:16,600 --> 00:02:20,440 Speaker 1: increase scale to drop to improve the gross margins? 42 00:02:20,440 --> 00:02:23,320 Speaker 2: So, Steve, is this a report from a Tesla that 43 00:02:23,480 --> 00:02:26,919 Speaker 2: is just maturing in a more competitive market, or is 44 00:02:26,960 --> 00:02:31,960 Speaker 2: this a Tesla showing signs of some strains, some struggle 45 00:02:32,080 --> 00:02:34,600 Speaker 2: struggles if you will, And some questions about the output. 46 00:02:35,440 --> 00:02:39,200 Speaker 1: Well, it's definitely getting more competitive. I think the concern 47 00:02:39,480 --> 00:02:45,680 Speaker 1: is that they're maturing. Auto business is maturing. GM reported 48 00:02:45,760 --> 00:02:48,600 Speaker 1: earnings today and you know their automotive gross margin is 49 00:02:48,639 --> 00:02:54,160 Speaker 1: fourteen percent. Tesla is around sixteen percent, So it's getting 50 00:02:54,160 --> 00:02:58,359 Speaker 1: awfully close to what GM, the legacy automaker's gross margins are. 51 00:02:58,639 --> 00:03:02,200 Speaker 1: So the concerns are there. The outlook, I think there's 52 00:03:02,400 --> 00:03:04,400 Speaker 1: there's gonna be a lot of focus on you know, 53 00:03:04,480 --> 00:03:07,120 Speaker 1: like I said earlier, are they able to build scale 54 00:03:07,120 --> 00:03:11,880 Speaker 1: in new markets? And then secondly their AI endeavors. You know, 55 00:03:12,000 --> 00:03:18,359 Speaker 1: they've delayed the August eighth event on AI to a 56 00:03:18,440 --> 00:03:21,080 Speaker 1: couple of months. I think a lot of investors will 57 00:03:21,200 --> 00:03:24,120 Speaker 1: want to probe a little bit more to to get 58 00:03:24,160 --> 00:03:26,200 Speaker 1: a glimpse of what they want to what they plan 59 00:03:26,320 --> 00:03:27,920 Speaker 1: to talk about in October. 60 00:03:28,240 --> 00:03:30,200 Speaker 4: Well, let's talk a little bit about that. You're talking 61 00:03:30,240 --> 00:03:32,919 Speaker 4: about an AI event. Some people refer to it as 62 00:03:33,480 --> 00:03:34,760 Speaker 4: the Robotaxi event. 63 00:03:36,440 --> 00:03:37,520 Speaker 2: How do they refer to it? 64 00:03:38,040 --> 00:03:39,760 Speaker 4: I don't know how how do they refer to it 65 00:03:40,120 --> 00:03:43,600 Speaker 4: internally the way you said it, Steve? How do they 66 00:03:44,120 --> 00:03:45,680 Speaker 4: refer to it though? Because it's I mean, this is 67 00:03:45,680 --> 00:03:47,440 Speaker 4: something Elon Musk has talked about for the better part 68 00:03:47,440 --> 00:03:48,000 Speaker 4: of a decade. 69 00:03:48,920 --> 00:03:51,160 Speaker 1: Yeah, I think I think they are referring to an 70 00:03:51,200 --> 00:03:54,600 Speaker 1: AI event. I think they want they do want to pivot. Uh. 71 00:03:54,640 --> 00:03:58,880 Speaker 1: They know the auto industry. It's not new to to 72 00:03:58,880 --> 00:04:02,640 Speaker 1: to to US, auto industry is a commoditized business. 73 00:04:02,640 --> 00:04:03,600 Speaker 3: You get the Chinese. 74 00:04:04,320 --> 00:04:08,160 Speaker 1: Uh, you know, I'm able to build cars for much cheaper. 75 00:04:08,920 --> 00:04:11,240 Speaker 3: So they know he knows that there's a lot. 76 00:04:11,040 --> 00:04:14,720 Speaker 1: Of value to be had in AI and so he 77 00:04:14,800 --> 00:04:18,320 Speaker 1: does want to start pivoting the company to be an 78 00:04:18,320 --> 00:04:21,680 Speaker 1: AI company, uh, less so of an auto company. 79 00:04:22,040 --> 00:04:25,479 Speaker 4: So can can But are you confident from an analyst 80 00:04:25,560 --> 00:04:29,320 Speaker 4: perspective that he can realistically do that because the joke 81 00:04:29,400 --> 00:04:32,720 Speaker 4: with robotaxi self driving has been next year, next year, 82 00:04:32,760 --> 00:04:34,120 Speaker 4: next year, and it hasn't shown up yet. 83 00:04:34,200 --> 00:04:34,800 Speaker 3: Yeah. 84 00:04:34,880 --> 00:04:37,800 Speaker 1: Yeah, I think there's a lot lot of hurdles. One 85 00:04:37,880 --> 00:04:41,800 Speaker 1: of the biggest hurdles to getting robo taxi uh to 86 00:04:41,880 --> 00:04:44,599 Speaker 1: be on a across the board on the roads is 87 00:04:44,640 --> 00:04:47,839 Speaker 1: really the regulations. And I know, you know, not the 88 00:04:47,880 --> 00:04:50,800 Speaker 1: only Tesla, but every automaker is trying to trying to 89 00:04:50,839 --> 00:04:54,320 Speaker 1: convince the government that you know, these are safe much 90 00:04:54,360 --> 00:04:58,799 Speaker 1: more much safer vehicles than they are operated by humans. 91 00:04:59,440 --> 00:05:03,000 Speaker 1: So uh, I think I think if you look at AI, 92 00:05:03,560 --> 00:05:05,800 Speaker 1: I think what Elon must is trying to do is 93 00:05:06,600 --> 00:05:11,520 Speaker 1: uh you know, introduce AI even beyond robotaxi. Right, there's 94 00:05:11,880 --> 00:05:13,600 Speaker 1: you know, at the end of the day, the company 95 00:05:13,839 --> 00:05:18,440 Speaker 1: is trying to try to lower energy consumption and increase 96 00:05:18,480 --> 00:05:23,400 Speaker 1: sustainable uh energy usage. Uh So if you can imagine, 97 00:05:23,400 --> 00:05:26,120 Speaker 1: for example, one thing is you know, all these vehicles 98 00:05:26,360 --> 00:05:29,440 Speaker 1: have large batteries in them, and if you know, if 99 00:05:29,480 --> 00:05:34,200 Speaker 1: we can get AI to actually maneuver these vehicles to 100 00:05:34,240 --> 00:05:37,599 Speaker 1: say where you know, there's a deficit of power and 101 00:05:37,920 --> 00:05:42,560 Speaker 1: these charge up batteries can actually uh offset some of 102 00:05:42,600 --> 00:05:46,720 Speaker 1: the peaks and and and fill some of the. 103 00:05:45,440 --> 00:05:47,280 Speaker 3: The deficit power deficit. 104 00:05:47,440 --> 00:05:50,680 Speaker 1: You know, that's that's one way of achieving sustainable energy 105 00:05:50,760 --> 00:05:54,799 Speaker 1: one of his goal. So you can't, I think, for us, 106 00:05:54,880 --> 00:05:56,799 Speaker 1: we can't just think of its robo taxi. 107 00:05:57,320 --> 00:05:58,040 Speaker 3: You got to think of. 108 00:05:58,000 --> 00:06:00,560 Speaker 1: It as you know, you have energy store ghorich in 109 00:06:00,600 --> 00:06:04,000 Speaker 1: a vehicle, in a moving vehicle. Plus the computers in 110 00:06:04,040 --> 00:06:07,799 Speaker 1: these vehicles are probably more powerful than some of our PCs, 111 00:06:08,160 --> 00:06:11,080 Speaker 1: So there's there's other ways of you you know, he 112 00:06:11,120 --> 00:06:14,200 Speaker 1: talked about using you know, putting, you know, putting a 113 00:06:14,240 --> 00:06:19,040 Speaker 1: number of these vehicles together. Yeah, to for example mind bitcoin. 114 00:06:19,680 --> 00:06:20,040 Speaker 3: Yeah. 115 00:06:20,160 --> 00:06:22,039 Speaker 2: Well, I'm looking at our live blog here and our 116 00:06:22,160 --> 00:06:26,320 Speaker 2: Dana Hall, who obviously covers Tesla and Elon Musk notes 117 00:06:26,360 --> 00:06:29,000 Speaker 2: something from Gene Munster of deep water asset managements as 118 00:06:29,040 --> 00:06:30,840 Speaker 2: a whole story here is about what else is to 119 00:06:30,880 --> 00:06:33,160 Speaker 2: come again these This is from Gene. The stock is 120 00:06:33,240 --> 00:06:34,760 Speaker 2: drifting because of the run up, but there are a 121 00:06:34,760 --> 00:06:37,920 Speaker 2: lot of questions about the unboxed manufacturing strategy and what 122 00:06:37,960 --> 00:06:40,840 Speaker 2: that means for the Robotaxi, which means you probably won't 123 00:06:40,880 --> 00:06:43,960 Speaker 2: see a Robotaxi until twenty twenty six or twenty twenty seven. 124 00:06:45,160 --> 00:06:47,960 Speaker 2: Munster a Dana Ads is referring to this line in 125 00:06:47,960 --> 00:06:51,240 Speaker 2: the deck quote our purpose built Robotaxi product will continue 126 00:06:51,240 --> 00:06:54,719 Speaker 2: to pursue a revolutionary unboxed manufacturing strategy. It sounds very 127 00:06:55,080 --> 00:06:58,839 Speaker 2: Elon Musk, right, like we don't, I mean, like don't 128 00:06:58,839 --> 00:07:01,120 Speaker 2: really quite know exactly what that means. 129 00:07:00,880 --> 00:07:04,599 Speaker 1: Right, Yeah, I you know, I think you know, in 130 00:07:04,680 --> 00:07:07,640 Speaker 1: our assumptions, I don't think grobal Taxi is going to 131 00:07:07,720 --> 00:07:12,640 Speaker 1: be even profitable, not until the next decade. But the 132 00:07:12,720 --> 00:07:15,840 Speaker 1: one more thing I think the investor would want to 133 00:07:15,920 --> 00:07:18,560 Speaker 1: know is, you know, when are they going to introduce 134 00:07:18,600 --> 00:07:20,880 Speaker 1: a more affordable EV. I think that's one of the 135 00:07:20,920 --> 00:07:26,040 Speaker 1: things that's plaguing the industry right now. You know, we've 136 00:07:26,080 --> 00:07:29,960 Speaker 1: lowered prices a lot and and and hasn't and hasn't 137 00:07:30,000 --> 00:07:34,040 Speaker 1: really lifted sales. But I think there's still not enough 138 00:07:34,120 --> 00:07:38,720 Speaker 1: choices for the consumer at the sub thirty thousand dollars range. 139 00:07:38,840 --> 00:07:41,200 Speaker 4: So who makes you know, Steve, who makes the most 140 00:07:41,200 --> 00:07:43,240 Speaker 4: affordable EV out there? 141 00:07:43,320 --> 00:07:43,800 Speaker 3: Is it? 142 00:07:43,840 --> 00:07:45,400 Speaker 4: Is it Hyundai? Is it Kia? 143 00:07:46,600 --> 00:07:49,600 Speaker 1: Yeah, it's Hunda, and the Asians do Hunda in Kia, 144 00:07:50,200 --> 00:07:52,880 Speaker 1: And I think I think if you look at globally, 145 00:07:53,600 --> 00:07:55,640 Speaker 1: the Chinese actually makes the most. 146 00:07:56,240 --> 00:07:58,720 Speaker 4: They can't get that in the US. 147 00:07:58,960 --> 00:08:01,880 Speaker 1: Yeah, it's well, we'll have to see. I think the 148 00:08:01,920 --> 00:08:04,920 Speaker 1: election is going to have He's going to have a 149 00:08:04,960 --> 00:08:05,840 Speaker 1: play and that. 150 00:08:06,040 --> 00:08:07,600 Speaker 4: So it always goes back to the election. 151 00:08:07,960 --> 00:08:10,560 Speaker 2: Yeah, Ed Love though it's also noting that he says, 152 00:08:10,600 --> 00:08:12,400 Speaker 2: I guess when it comes to the more affordable models 153 00:08:12,400 --> 00:08:14,080 Speaker 2: remaining on track for the start of production in twenty 154 00:08:14,160 --> 00:08:16,320 Speaker 2: twenty five, says those products will be built on quote 155 00:08:16,320 --> 00:08:19,240 Speaker 2: the same manufacturing lines as current vehicles, but it's kind 156 00:08:19,240 --> 00:08:22,400 Speaker 2: of always a wait and see good stuff, Steve. We'll 157 00:08:22,400 --> 00:08:25,000 Speaker 2: look for some of your research certainly tomorrow. Thank you 158 00:08:25,080 --> 00:08:27,240 Speaker 2: for coming along and helping him make some sense of 159 00:08:27,240 --> 00:08:30,960 Speaker 2: this Bloomberg Intelligence Global autos and industrial analyst Steve Mann,