1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. 2 00:00:07,720 --> 00:00:10,000 Speaker 2: I want to get more on this with Kit Darby, 3 00:00:10,400 --> 00:00:14,000 Speaker 2: President of Kit Darby Aviation Consulting on this, Kit, it's 4 00:00:14,000 --> 00:00:17,040 Speaker 2: so interesting when we hear from officials that the helicopter 5 00:00:17,079 --> 00:00:20,040 Speaker 2: crew was fairly experienced Sean Duffies and the craft was 6 00:00:20,079 --> 00:00:21,919 Speaker 2: absolutely preventable. 7 00:00:22,320 --> 00:00:24,400 Speaker 3: What are the questions that you have right now? 8 00:00:26,720 --> 00:00:29,880 Speaker 4: Well, thanks for having me. The first thing, of course, 9 00:00:30,120 --> 00:00:34,559 Speaker 4: the primary charge to pilots on both sides, both aircraft 10 00:00:34,560 --> 00:00:38,880 Speaker 4: and helicopter and VFR conditions which you know without cloud 11 00:00:38,920 --> 00:00:42,360 Speaker 4: you're able to see, is to see and avoid. So 12 00:00:42,960 --> 00:00:47,840 Speaker 4: in this case, one complicating factor is that the communications 13 00:00:47,840 --> 00:00:51,160 Speaker 4: to the helicopter and the airplane were on different frequencies, 14 00:00:51,200 --> 00:00:53,760 Speaker 4: so the situational awareness would go down a little bit, 15 00:00:53,840 --> 00:00:57,040 Speaker 4: especially for the airliner not knowing that the tower was 16 00:00:57,080 --> 00:01:01,920 Speaker 4: talking to this other aircraft. The vision requirements, you know, 17 00:01:01,960 --> 00:01:04,840 Speaker 4: seeing avoid means you can see. We've learned just recently 18 00:01:04,920 --> 00:01:09,160 Speaker 4: that the helicopter was using night vision goggles. So those 19 00:01:09,200 --> 00:01:11,880 Speaker 4: are designed to allow the helicopter to operate in a very 20 00:01:11,920 --> 00:01:17,119 Speaker 4: low light situation without any extra illumination, but it also 21 00:01:17,240 --> 00:01:20,040 Speaker 4: limits the field of vision and it has a tendency 22 00:01:20,120 --> 00:01:23,520 Speaker 4: if you do get a bright light to bloom or 23 00:01:23,600 --> 00:01:27,200 Speaker 4: to obscure what you're looking at. So at least one 24 00:01:27,240 --> 00:01:29,520 Speaker 4: of the pilots in that aircraft, perhaps the one on 25 00:01:29,560 --> 00:01:32,000 Speaker 4: the side of the airliner, since it came in from 26 00:01:32,000 --> 00:01:35,760 Speaker 4: the side, could have had been using night vision goggles, 27 00:01:35,800 --> 00:01:38,280 Speaker 4: could have had a vision problem. But even without the 28 00:01:38,360 --> 00:01:41,600 Speaker 4: night vision goggles, we're looking at a light at night, 29 00:01:41,640 --> 00:01:43,800 Speaker 4: So it's easy to see the light at night, but 30 00:01:43,880 --> 00:01:46,479 Speaker 4: it's hard to tell what that light's doing, how fast 31 00:01:46,520 --> 00:01:49,840 Speaker 4: it's going, where it's going, you know, climbing or descending. 32 00:01:49,880 --> 00:01:52,600 Speaker 4: So that's a very difficult against the backdrop of city 33 00:01:52,680 --> 00:01:56,320 Speaker 4: lights to know what you're seeing, either with or without 34 00:01:56,400 --> 00:01:57,160 Speaker 4: vision goggles. 35 00:01:57,800 --> 00:02:00,240 Speaker 5: Kid based upon your experience, how long do you think 36 00:02:00,280 --> 00:02:04,080 Speaker 5: it will take the NTSB to figure out what happened 37 00:02:04,080 --> 00:02:06,280 Speaker 5: and be able to communicate that to us. 38 00:02:08,080 --> 00:02:12,480 Speaker 4: Well, if the voice recorder and the flight recorder are 39 00:02:12,560 --> 00:02:14,600 Speaker 4: found and available, and I would expect them to be 40 00:02:14,680 --> 00:02:18,360 Speaker 4: in good shape, we'll have a lot of information very quickly. 41 00:02:18,400 --> 00:02:21,200 Speaker 4: That preliminary report should be accurate within a month or so, 42 00:02:22,360 --> 00:02:25,520 Speaker 4: and then, of course the full report often takes a 43 00:02:25,600 --> 00:02:29,160 Speaker 4: year or more. But the preliminary report with the information 44 00:02:29,240 --> 00:02:33,960 Speaker 4: we have, video evidence, flight recorders, voice recorders, eyewitness reports, 45 00:02:34,240 --> 00:02:36,280 Speaker 4: We're going to know what happened here pretty quick. 46 00:02:37,040 --> 00:02:37,639 Speaker 3: As we. 47 00:02:39,160 --> 00:02:42,400 Speaker 2: Turn towards Reagan reopening at eleven am. There have been 48 00:02:42,400 --> 00:02:44,679 Speaker 2: a lot of questions from the press to officials, is 49 00:02:45,120 --> 00:02:48,840 Speaker 2: it safe to fly? What kind of precautions in this 50 00:02:48,960 --> 00:02:51,680 Speaker 2: kind of scenario would be taken to ensure that? 51 00:02:53,600 --> 00:02:59,360 Speaker 4: Well, this is extremely rare, almost random. A reminder that 52 00:02:59,400 --> 00:03:03,560 Speaker 4: we people regularly at six hundred miles an hour at 53 00:03:03,919 --> 00:03:08,000 Speaker 4: thirty thousand feet coast to coast, twenty times safer than 54 00:03:08,040 --> 00:03:10,840 Speaker 4: we drive ourselves to the airport at sixty miles an hour. 55 00:03:11,440 --> 00:03:14,640 Speaker 4: So I mean this is a wonderfully safe system. Thirty 56 00:03:14,720 --> 00:03:18,120 Speaker 4: million flights worldwide. Some of our major airlines have a 57 00:03:18,200 --> 00:03:22,480 Speaker 4: million flights, one airline a million flights a year. So 58 00:03:22,560 --> 00:03:25,600 Speaker 4: there is regrettably a big exposure when we have that 59 00:03:25,720 --> 00:03:30,840 Speaker 4: much activity, and this particular airport very congested, all the 60 00:03:30,880 --> 00:03:35,280 Speaker 4: military services, many of the airlines operating in very close proximity. 61 00:03:36,880 --> 00:03:39,400 Speaker 4: You know, this would be a likely place for something 62 00:03:39,400 --> 00:03:42,440 Speaker 4: to happen, But for another accident like this to happen 63 00:03:43,480 --> 00:03:47,720 Speaker 4: very very rare, and certainly shouldn't discourage anybody from getting 64 00:03:47,720 --> 00:03:49,560 Speaker 4: on an airliner and going where they need to go. 65 00:03:50,040 --> 00:03:53,800 Speaker 4: The odds are, you know, below a lightning strike kit. 66 00:03:53,880 --> 00:03:55,960 Speaker 5: I guess what I've learned this morning. I think a 67 00:03:56,000 --> 00:03:57,600 Speaker 5: lot of our listeners and viewers have learned as well. 68 00:03:57,680 --> 00:03:58,320 Speaker 1: Is a couple of things. 69 00:03:58,320 --> 00:04:01,240 Speaker 5: One just how busy the DC airspace was. I just 70 00:04:01,280 --> 00:04:03,600 Speaker 5: kind of figure, if it's not New York, La Atlanta, 71 00:04:03,680 --> 00:04:06,520 Speaker 5: you know it's okay, But A it's very very busy. 72 00:04:06,560 --> 00:04:10,960 Speaker 5: And B the mixture of commercial and military I kind 73 00:04:10,960 --> 00:04:14,320 Speaker 5: of feel like makes DC airspace a little bit unique. 74 00:04:15,200 --> 00:04:17,880 Speaker 5: How concerning is it or what precautions do you think 75 00:04:17,920 --> 00:04:21,160 Speaker 5: are taken in that airspace? For again, military and commercial 76 00:04:21,160 --> 00:04:24,159 Speaker 5: to be in such close proximity so often. 77 00:04:25,440 --> 00:04:27,560 Speaker 4: Well, there are a lot of rules. I mean, I've 78 00:04:27,560 --> 00:04:31,240 Speaker 4: flown military aircraft in that airspace, although I was flying airplanes, 79 00:04:31,320 --> 00:04:36,760 Speaker 4: not helicopters, and it was very, very congested. However, there 80 00:04:36,800 --> 00:04:42,599 Speaker 4: are rules that separate airplanes from helicopters, commercial from military, 81 00:04:42,960 --> 00:04:46,400 Speaker 4: and those rules are followed every day, thousands of times 82 00:04:46,520 --> 00:04:50,280 Speaker 4: very successfully. Something didn't work here, I mean the last 83 00:04:50,279 --> 00:04:52,200 Speaker 4: thing they said was I have the aircraft in sight, 84 00:04:52,560 --> 00:04:54,680 Speaker 4: and the question is how do you hit something you 85 00:04:55,440 --> 00:04:58,479 Speaker 4: see and have agreed to avoid. I'm not sure the 86 00:04:58,520 --> 00:05:02,440 Speaker 4: airliner would have had the helicopter in sight. But there's 87 00:05:02,480 --> 00:05:06,000 Speaker 4: a real quandary here about We know the rules and 88 00:05:06,040 --> 00:05:08,640 Speaker 4: the rules were being followed right up to the last minute, 89 00:05:09,000 --> 00:05:14,599 Speaker 4: and then something broke down. So confusing for me, and 90 00:05:14,680 --> 00:05:17,760 Speaker 4: I don't know that anybody could make sense of it yet, 91 00:05:18,160 --> 00:05:19,760 Speaker 4: but soon, Kit, I think. 92 00:05:19,640 --> 00:05:22,039 Speaker 2: For you and everybody else, also confusing. You've been in 93 00:05:22,080 --> 00:05:25,680 Speaker 2: this industry for over thirty years. Can you give us 94 00:05:25,720 --> 00:05:28,360 Speaker 2: some context. You gave great color in terms of what 95 00:05:28,400 --> 00:05:32,279 Speaker 2: it's like to use night vision, different frequencies. How hard 96 00:05:32,360 --> 00:05:35,000 Speaker 2: is it or easy is it to move a helicopter 97 00:05:35,200 --> 00:05:36,720 Speaker 2: going one hundred miles per hour? 98 00:05:39,640 --> 00:05:43,680 Speaker 4: It's pretty maneuverable. Helicopters do things that airplanes don't do, 99 00:05:43,760 --> 00:05:46,240 Speaker 4: and that they can hover and go very slow. But 100 00:05:46,279 --> 00:05:49,840 Speaker 4: when they're flying cruising, they're very much like an airplane. 101 00:05:49,920 --> 00:05:52,440 Speaker 4: And both of these aircraft would be very maneuverable if 102 00:05:52,480 --> 00:05:56,760 Speaker 4: they saw each other and understood the relationship speed, distance, 103 00:05:56,800 --> 00:06:00,120 Speaker 4: what needed to be done. They're both very maneuverable and 104 00:06:00,160 --> 00:06:04,560 Speaker 4: could have avoided each other with the right visual information. 105 00:06:05,440 --> 00:06:07,520 Speaker 4: You know, I would e quate this the driving at night. 106 00:06:07,800 --> 00:06:10,080 Speaker 4: How much less you see at night than you do 107 00:06:10,160 --> 00:06:13,120 Speaker 4: in the daytime. And that's part of the problem here, 108 00:06:13,160 --> 00:06:15,560 Speaker 4: I believe, is they're knowing what to do with what 109 00:06:15,600 --> 00:06:20,400 Speaker 4: they see. Helicopter probably had the aircraft in site. Airplane 110 00:06:20,440 --> 00:06:22,480 Speaker 4: probably did not have the helicopter in site. 111 00:06:23,440 --> 00:06:25,359 Speaker 5: Very good, Kit, Thank you so much for joining us, 112 00:06:25,440 --> 00:06:29,640 Speaker 5: Kit Darby, President Kitdarby dot Com Aviation Consulting, giving us 113 00:06:29,680 --> 00:06:34,680 Speaker 5: some informed views and perspectives on aviation some of the 114 00:06:34,800 --> 00:06:38,760 Speaker 5: challenges that might have been before these two aircraft as 115 00:06:38,920 --> 00:06:42,720 Speaker 5: a unfortunately crushed in Washington, DC overnight. We'll have continued 116 00:06:42,760 --> 00:06:45,400 Speaker 5: reporting on that throughout the day. Let's switch gears and 117 00:06:45,440 --> 00:06:47,640 Speaker 5: get back to these markets again. The SP's up about 118 00:06:47,680 --> 00:06:50,679 Speaker 5: sixteen points, the now's up sixty eight points, the nastacs 119 00:06:50,760 --> 00:06:53,960 Speaker 5: up about seventeen points, so a slight lift to the market. 120 00:06:53,960 --> 00:06:57,359 Speaker 5: Syviat Jablonski joint is. She's the CEO and CIO of 121 00:06:57,440 --> 00:07:03,240 Speaker 5: Defiance E TFS. So yeah, we were coming off, you know, 122 00:07:03,360 --> 00:07:05,680 Speaker 5: two great years in the stock market twenty three and 123 00:07:05,720 --> 00:07:08,800 Speaker 5: twenty four with north of twenty percent total returns there, 124 00:07:10,320 --> 00:07:12,680 Speaker 5: and we start off with a nice January in terms 125 00:07:12,720 --> 00:07:15,920 Speaker 5: of performance here. What are you telling your clients these 126 00:07:16,000 --> 00:07:18,200 Speaker 5: days about their expectations for twenty twenty five. 127 00:07:19,480 --> 00:07:22,360 Speaker 1: Yeah, it's good morning. Well, I think twenty twenty three 128 00:07:22,360 --> 00:07:24,200 Speaker 1: and twenty twenty four are going to be hard to beat, right, 129 00:07:24,240 --> 00:07:27,520 Speaker 1: they're pretty epic years. But I do think though that 130 00:07:27,720 --> 00:07:30,280 Speaker 1: you know, we're in a good position here economically. We 131 00:07:30,360 --> 00:07:33,160 Speaker 1: have two to three percent GDP growth. You know, inflation 132 00:07:33,320 --> 00:07:35,520 Speaker 1: is kind of coming down. Although we've seen some blips, 133 00:07:35,560 --> 00:07:38,760 Speaker 1: it's arguably coming down and remaining steady at the moment. 134 00:07:39,720 --> 00:07:42,680 Speaker 1: Jobs numbers are decent, the inflation figures that we've seen 135 00:07:42,720 --> 00:07:46,600 Speaker 1: recently are pretty decent. Strong consumer, you know, corporate earnings 136 00:07:46,880 --> 00:07:49,360 Speaker 1: are going to be interesting this time around, but thus 137 00:07:49,400 --> 00:07:51,600 Speaker 1: far have been you know, strong in the last eight 138 00:07:51,680 --> 00:07:54,160 Speaker 1: quarters or so, and so I think that we stay 139 00:07:54,200 --> 00:07:56,320 Speaker 1: the course here, right. I think the last two years 140 00:07:56,360 --> 00:07:59,000 Speaker 1: have proven to us that maybe it is time to 141 00:07:59,280 --> 00:08:01,680 Speaker 1: get off of the sidelines. And you know, when you 142 00:08:01,760 --> 00:08:04,560 Speaker 1: have like these these big dips like we saw from 143 00:08:04,720 --> 00:08:07,760 Speaker 1: the Deep seek the Bacle the other day, you know, 144 00:08:07,960 --> 00:08:10,160 Speaker 1: you kind of go in and your dollar cost average 145 00:08:10,200 --> 00:08:12,800 Speaker 1: and these are your opportunities to be long equities and 146 00:08:12,800 --> 00:08:14,640 Speaker 1: get performance. But to answer your question a little bit 147 00:08:14,640 --> 00:08:17,480 Speaker 1: more specifically. You know, I don't expect a twenty percent year, 148 00:08:17,920 --> 00:08:21,520 Speaker 1: but I do expect lower, lower double digit returns this year. 149 00:08:22,200 --> 00:08:25,680 Speaker 2: What do you make of the market action moves on earnings? 150 00:08:25,720 --> 00:08:28,680 Speaker 2: I mean, without talking specific names, I mean just the 151 00:08:28,840 --> 00:08:33,040 Speaker 2: dropping ups. The drop in Microsoft like signa like it's 152 00:08:33,040 --> 00:08:35,320 Speaker 2: not taking a lot to get really beat up. 153 00:08:35,360 --> 00:08:36,920 Speaker 3: Can you put that into perspective for that? 154 00:08:38,160 --> 00:08:41,000 Speaker 1: Yeah, I think it almost feels like last season, right 155 00:08:41,080 --> 00:08:44,480 Speaker 1: where good news was a little bit of a drop, 156 00:08:44,720 --> 00:08:47,000 Speaker 1: you know, neutral news was a really big drop, and 157 00:08:47,400 --> 00:08:50,120 Speaker 1: anything that was shy of expectations was just like a 158 00:08:50,160 --> 00:08:53,040 Speaker 1: complete tank, right. I think that the market just has 159 00:08:53,200 --> 00:08:56,440 Speaker 1: very high expectations for earnings right now that are you know, 160 00:08:56,520 --> 00:08:59,600 Speaker 1: somewhat unreasonable, right. I think we got a little bit 161 00:08:59,600 --> 00:09:01,760 Speaker 1: of kind of like the fire and the tailwinds from 162 00:09:02,280 --> 00:09:05,280 Speaker 1: AI and you know, kind of this this idea that 163 00:09:05,320 --> 00:09:06,960 Speaker 1: the FED was going to be cutting rates and things 164 00:09:07,000 --> 00:09:09,000 Speaker 1: like this. I think, you know, last year was super 165 00:09:09,040 --> 00:09:11,160 Speaker 1: strong on that, and I think we're kind of setdying 166 00:09:11,160 --> 00:09:14,040 Speaker 1: out now and so these earnings, particularly from the mag seven, 167 00:09:14,360 --> 00:09:16,320 Speaker 1: they're going to start tapering off. I think we're going 168 00:09:16,360 --> 00:09:18,600 Speaker 1: to continue to see positive earnings, but maybe it's not 169 00:09:18,640 --> 00:09:20,640 Speaker 1: going to be you know, one hundred percent year over 170 00:09:20,720 --> 00:09:22,360 Speaker 1: year on some of the names. Maybe it's going to 171 00:09:22,360 --> 00:09:25,880 Speaker 1: be thirty percent year over year, which is still very solid. 172 00:09:25,880 --> 00:09:28,280 Speaker 1: I think we just have to reframe our expectations on this. 173 00:09:29,080 --> 00:09:32,880 Speaker 5: Sylvilly as CEO and CIO of Defines ETFs. Where are 174 00:09:32,880 --> 00:09:36,800 Speaker 5: you seeing the flows into your ETF complex these days? 175 00:09:38,640 --> 00:09:41,720 Speaker 1: Hands down, it's been in quantum computing. I would say 176 00:09:41,840 --> 00:09:44,720 Speaker 1: that the two most popular traits were micro strategy, and 177 00:09:44,760 --> 00:09:46,439 Speaker 1: that's really a crypto play, right, so you get a 178 00:09:46,480 --> 00:09:49,880 Speaker 1: bitcoint exposure through that. But quantum computing has just been 179 00:09:50,880 --> 00:09:52,920 Speaker 1: you know, an unbelievable. 180 00:09:52,280 --> 00:09:54,840 Speaker 3: Story for our firm and for the markets. 181 00:09:54,880 --> 00:09:55,040 Speaker 6: Right. 182 00:09:55,080 --> 00:09:58,360 Speaker 1: I think it's this idea of like the next generation 183 00:09:58,400 --> 00:10:00,840 Speaker 1: of AI, the fourth industrial revel lution. In order for 184 00:10:01,040 --> 00:10:04,280 Speaker 1: machine learning and AI to actually work, you need supercomputers, 185 00:10:04,360 --> 00:10:07,120 Speaker 1: and you know, quantum competing has this ability to kind 186 00:10:07,120 --> 00:10:11,679 Speaker 1: of transformed that field. But also just you know, drug discovery, pharmaceuticals, 187 00:10:11,720 --> 00:10:15,079 Speaker 1: medical research, cryptography, all of these different you know types 188 00:10:15,120 --> 00:10:19,800 Speaker 1: of sectors that need essentially an upgrade with technology, and 189 00:10:19,840 --> 00:10:22,440 Speaker 1: so a lot of those quantum names this year, like 190 00:10:22,559 --> 00:10:25,200 Speaker 1: I on q Ricghetti, and I know that they've fallen 191 00:10:25,240 --> 00:10:27,400 Speaker 1: back like post Judson Wog a little bit, but I 192 00:10:27,400 --> 00:10:29,120 Speaker 1: think it's kind of back on the up and up 193 00:10:29,160 --> 00:10:31,920 Speaker 1: because people realize that this is a technology that's going 194 00:10:31,920 --> 00:10:33,719 Speaker 1: to blue and flourish. And we you know, we saw 195 00:10:33,760 --> 00:10:36,480 Speaker 1: about a billion dollars of assets coming to that space 196 00:10:36,520 --> 00:10:38,880 Speaker 1: and it's been out since twenty eighteen, and you know, 197 00:10:39,240 --> 00:10:40,840 Speaker 1: it kind of did nothing and then that's where the 198 00:10:40,840 --> 00:10:41,720 Speaker 1: flows came this year. 199 00:10:42,240 --> 00:10:43,360 Speaker 3: Sylvia. We appreciate you. 200 00:10:43,400 --> 00:10:45,960 Speaker 2: Thank you so much, Sylviaja Blonci, the CEO and CIO 201 00:10:46,080 --> 00:10:49,800 Speaker 2: of Defiance E t FS. One of the most interesting 202 00:10:49,840 --> 00:10:52,400 Speaker 2: stock moves I think I've seen is Tesla. That stock 203 00:10:52,520 --> 00:10:55,200 Speaker 2: is up one point six percent despite numbers that were 204 00:10:55,200 --> 00:10:58,000 Speaker 2: not great and any quality beat was a was a 205 00:10:58,480 --> 00:11:01,240 Speaker 2: light quality beat, like it was a good quarter. 206 00:11:01,440 --> 00:11:04,360 Speaker 3: Yet Elon musk job on that stock up on the call. 207 00:11:04,400 --> 00:11:08,000 Speaker 2: Steve Man is Bloomberg Intelligence Global Autos and Industrials research analysts, 208 00:11:08,000 --> 00:11:10,120 Speaker 2: and he joins us, Now, I don't get it. I 209 00:11:10,160 --> 00:11:13,720 Speaker 2: do not understand what the takeaway is from Tesla's our names. 210 00:11:14,559 --> 00:11:16,920 Speaker 6: Yeah, I think you know the volatility that you're seeing 211 00:11:16,960 --> 00:11:19,400 Speaker 6: in stock this morning, it's I think a lot of 212 00:11:19,400 --> 00:11:21,760 Speaker 6: the there's been a lot of noise in the marketplace, 213 00:11:21,880 --> 00:11:25,040 Speaker 6: a lot of focus on the pass but as you know, 214 00:11:25,160 --> 00:11:28,040 Speaker 6: the valuation of this company is really driven by AI 215 00:11:28,080 --> 00:11:32,160 Speaker 6: and Robotaxi, and I think you know, Elon Musk basically 216 00:11:32,640 --> 00:11:37,079 Speaker 6: backed up the truck and unloaded a lot of positive 217 00:11:37,440 --> 00:11:42,440 Speaker 6: news about AI and about their future last night. You know, 218 00:11:42,480 --> 00:11:45,640 Speaker 6: they're rolling out the robo taxi in June. We thought 219 00:11:45,720 --> 00:11:48,880 Speaker 6: it will be two years away, but it's it's going 220 00:11:48,960 --> 00:11:51,840 Speaker 6: to happen in June, starting in Austin, Texas, in California, 221 00:11:52,320 --> 00:11:55,360 Speaker 6: and expanding it to the rest of the major part 222 00:11:55,400 --> 00:11:58,800 Speaker 6: of the country into twenty twenty six. The other thing 223 00:11:58,840 --> 00:12:03,920 Speaker 6: that was a prize was the Optimist humanoid robot. Now 224 00:12:03,960 --> 00:12:07,080 Speaker 6: we didn't think that they're gonna start production of that 225 00:12:07,160 --> 00:12:10,720 Speaker 6: robot anytime soon, but the plan is to do that 226 00:12:11,000 --> 00:12:13,400 Speaker 6: later this year. And one of the things that they're 227 00:12:13,440 --> 00:12:15,520 Speaker 6: going to use that for is really to help them 228 00:12:15,559 --> 00:12:18,760 Speaker 6: cut costs in their production plans. 229 00:12:19,040 --> 00:12:22,600 Speaker 5: Steve, could you explain the business model for the Robotaxi. 230 00:12:23,679 --> 00:12:28,000 Speaker 6: Yeah, Initially, what they want to do is mimic what 231 00:12:28,040 --> 00:12:33,080 Speaker 6: Weimo is doing. So they're going to produce robotaxis and 232 00:12:33,200 --> 00:12:36,360 Speaker 6: they're going to be for higher the revenues will be 233 00:12:36,559 --> 00:12:39,400 Speaker 6: generated and will go straight to Tesla, and then down 234 00:12:39,440 --> 00:12:42,560 Speaker 6: the road they're going to open up to current Tesla 235 00:12:43,280 --> 00:12:47,040 Speaker 6: vehicle owners and the plan is to do it like 236 00:12:47,120 --> 00:12:50,840 Speaker 6: an Airbnb style where the owner actually can rent out 237 00:12:50,880 --> 00:12:51,880 Speaker 6: those vehicles. 238 00:12:52,760 --> 00:12:53,320 Speaker 3: When we talk. 239 00:12:53,240 --> 00:12:56,120 Speaker 2: About the quality of any kind of beat, what was 240 00:12:56,120 --> 00:13:00,640 Speaker 2: circulating in my world was the greenhouse gas gas emissions credits, uh, 241 00:13:00,679 --> 00:13:03,360 Speaker 2: and that was a big reason why we saw the 242 00:13:03,400 --> 00:13:06,640 Speaker 2: beat for Tesla. But that's easy to strip out, like 243 00:13:06,640 --> 00:13:08,720 Speaker 2: at some point that goes away, it gets less. 244 00:13:08,720 --> 00:13:11,120 Speaker 3: We don't need it. So what do you make of that? 245 00:13:11,920 --> 00:13:15,480 Speaker 6: Uh? You know, they they've always been getting credits, so 246 00:13:15,640 --> 00:13:18,760 Speaker 6: it's not anything new. But what really drove the lower 247 00:13:18,880 --> 00:13:22,080 Speaker 6: margins in the fourth quarter is really the relaunch of 248 00:13:22,080 --> 00:13:25,520 Speaker 6: the Model Y Juniper, the update of the Model Y. 249 00:13:25,559 --> 00:13:28,760 Speaker 6: They're actually clearing out the inventory of the old Model Y. 250 00:13:29,200 --> 00:13:31,560 Speaker 6: It's gonna they did that in the fourth quarter. It's 251 00:13:31,600 --> 00:13:33,600 Speaker 6: you're gonna see some of that in the first quarter. 252 00:13:33,880 --> 00:13:36,400 Speaker 6: So first quarter margins will be a little bit bumpy. 253 00:13:37,000 --> 00:13:42,720 Speaker 6: But you know, they're they're increasing uh incentives, better deals 254 00:13:42,720 --> 00:13:45,720 Speaker 6: on leasing just to clear out that inventory. But what 255 00:13:45,760 --> 00:13:49,480 Speaker 6: we're hearing so far is uh. You know, anecdotally the 256 00:13:49,559 --> 00:13:52,959 Speaker 6: you know, I think on the global level, China and 257 00:13:53,000 --> 00:13:55,400 Speaker 6: in the US, there's been a high demand or a 258 00:13:55,480 --> 00:13:58,880 Speaker 6: high order rate interest in the new model. Y. So 259 00:13:58,920 --> 00:14:02,040 Speaker 6: we we we we are are positive and we are bullish, 260 00:14:02,200 --> 00:14:04,840 Speaker 6: more bullish on that on that new product for next 261 00:14:04,920 --> 00:14:05,680 Speaker 6: year and the year after. 262 00:14:06,640 --> 00:14:09,400 Speaker 5: What is the AI play for Tesla stock? 263 00:14:10,840 --> 00:14:14,280 Speaker 6: Well, look, if I stepped we step back a little bit. 264 00:14:14,320 --> 00:14:19,120 Speaker 6: They're actually in the transition into a razor razor blade 265 00:14:19,160 --> 00:14:22,440 Speaker 6: type of business model, right. I think you know, they've 266 00:14:22,480 --> 00:14:25,360 Speaker 6: they've sold a lot of vehicles. They've been cutting costs 267 00:14:25,360 --> 00:14:27,800 Speaker 6: on building cars so they can sell more and more 268 00:14:27,800 --> 00:14:32,239 Speaker 6: of these vehicles. But the real revenue and profit generator 269 00:14:32,920 --> 00:14:35,960 Speaker 6: is the AI is the robo taxi. It's the full 270 00:14:36,280 --> 00:14:41,280 Speaker 6: uh full self driving platform. And we heard it last 271 00:14:41,360 --> 00:14:43,720 Speaker 6: night from the company. You know, they're going to roll 272 00:14:43,720 --> 00:14:46,720 Speaker 6: out robo taxi and it's it's sooner than I think 273 00:14:46,720 --> 00:14:48,640 Speaker 6: a lot of people were expecting. 274 00:14:50,600 --> 00:14:53,280 Speaker 2: How much of it do you think is the stock 275 00:14:53,360 --> 00:14:57,080 Speaker 2: movement related to Musk's relationship with President Trump in DC 276 00:14:57,400 --> 00:14:59,720 Speaker 2: versus underlying fundamentals. I realize that might be an unfair 277 00:14:59,760 --> 00:15:02,200 Speaker 2: quiet to ask a stock analyst but just in terms 278 00:15:02,240 --> 00:15:05,040 Speaker 2: of how you model the relative. 279 00:15:04,640 --> 00:15:10,360 Speaker 6: A lot a lot, because it's I think it goes 280 00:15:10,400 --> 00:15:11,600 Speaker 6: hand in hand part of this. 281 00:15:12,280 --> 00:15:12,560 Speaker 2: Uh. 282 00:15:12,640 --> 00:15:15,200 Speaker 6: You know, one of the things that again, the valuation 283 00:15:15,280 --> 00:15:17,640 Speaker 6: of the stock is really on AI is really on 284 00:15:18,200 --> 00:15:23,160 Speaker 6: pushing out the robo taxi and you know, with you know, 285 00:15:23,480 --> 00:15:27,520 Speaker 6: now with Musk being you know, closer to the administration. Uh, 286 00:15:27,600 --> 00:15:31,280 Speaker 6: the thinking is that you know, the the government is 287 00:15:31,320 --> 00:15:36,320 Speaker 6: gonna actually deregulate or or make it easier for Tesla 288 00:15:36,480 --> 00:15:39,520 Speaker 6: and and their rivals to actually roll out even more 289 00:15:39,600 --> 00:15:42,800 Speaker 6: robo taxis uh, in in the in the country. 290 00:15:44,320 --> 00:15:47,680 Speaker 5: So let's go back to the old car business. Any 291 00:15:47,720 --> 00:15:51,040 Speaker 5: metrics there that stood out to you about cars? Actually, yeah, exactly. 292 00:15:51,120 --> 00:15:52,880 Speaker 5: I hate to answer the question, but yeah. 293 00:15:52,920 --> 00:15:57,520 Speaker 6: The question actually act actually there is I think the 294 00:15:57,600 --> 00:16:01,800 Speaker 6: market is not picking this up, is not fully digesting this. 295 00:16:01,800 --> 00:16:06,720 Speaker 6: This piece of news is that they actually is you know, 296 00:16:06,800 --> 00:16:08,960 Speaker 6: once they roll out the model Y, once they roll 297 00:16:09,000 --> 00:16:14,080 Speaker 6: out the cheaper, new, cheaper vehicle. Uh. This year, I'm 298 00:16:14,520 --> 00:16:16,920 Speaker 6: hoping to drive higher volume. Their fixed cost is going 299 00:16:17,000 --> 00:16:20,920 Speaker 6: to drop significantly. They just told us last night that 300 00:16:21,440 --> 00:16:27,040 Speaker 6: you know, basically you know, using its existing line without 301 00:16:27,160 --> 00:16:30,920 Speaker 6: new capex, They're going to able to actually produce thirty 302 00:16:31,440 --> 00:16:35,760 Speaker 6: thirty three to thirty five percent more vehicles. Uh so, 303 00:16:35,760 --> 00:16:37,360 Speaker 6: so they don't have to use that you know, they 304 00:16:37,360 --> 00:16:40,240 Speaker 6: can actually conserve that cash and and spend it on AI. 305 00:16:40,600 --> 00:16:43,640 Speaker 3: We're just like there yet basically we're not there. 306 00:16:43,640 --> 00:16:46,520 Speaker 6: I think that when the volume comes up, increases from 307 00:16:46,560 --> 00:16:49,880 Speaker 6: the new models, then we'll see the benefit of you know, 308 00:16:49,920 --> 00:16:53,800 Speaker 6: that rationalization of their line and and and the reduction 309 00:16:53,880 --> 00:16:54,480 Speaker 6: of capex. 310 00:16:54,520 --> 00:16:56,520 Speaker 2: How close are we to getting that cheaper model that 311 00:16:56,840 --> 00:16:58,960 Speaker 2: Paul wants to buy us? 312 00:17:00,160 --> 00:17:03,640 Speaker 6: So far it's still uh, it's still on schedule for 313 00:17:03,840 --> 00:17:04,600 Speaker 6: the first half of. 314 00:17:04,560 --> 00:17:08,080 Speaker 2: This year, first half of this year. Do we believe 315 00:17:08,080 --> 00:17:12,960 Speaker 2: that timeline? 316 00:17:13,160 --> 00:17:15,400 Speaker 6: I mean, we haven't seen. The thing is, we haven't 317 00:17:15,400 --> 00:17:19,320 Speaker 6: seen any pictures of it. Yeah, And I mean that's 318 00:17:19,480 --> 00:17:22,000 Speaker 6: that's how Tesla has been doing. Like, for example, then 319 00:17:22,200 --> 00:17:24,359 Speaker 6: launch of the new model why the redesign and Model 320 00:17:24,400 --> 00:17:27,719 Speaker 6: hy they really really didn't show any pictures of it 321 00:17:27,880 --> 00:17:31,400 Speaker 6: until really the last minute. And you know, they've they've 322 00:17:31,400 --> 00:17:34,320 Speaker 6: been talking about it. They reiterated that last night, so 323 00:17:34,760 --> 00:17:37,120 Speaker 6: you know, you know, my thinking is that they will. 324 00:17:38,240 --> 00:17:42,360 Speaker 5: What's the thinking these days, Steve in the marketplace among investors, 325 00:17:42,359 --> 00:17:47,120 Speaker 5: maybe even among TESLA about the demand curve for evs. 326 00:17:47,200 --> 00:17:50,240 Speaker 5: Where kind of are we are we in momentum of 327 00:17:50,280 --> 00:17:52,120 Speaker 5: the demand? What's the thinking out there? 328 00:17:52,800 --> 00:17:55,600 Speaker 6: Yeah, there's a big debate. I think, you know, we're 329 00:17:55,640 --> 00:18:00,960 Speaker 6: on on the camp of uh that you know, if 330 00:18:01,000 --> 00:18:04,159 Speaker 6: the seventy five hundred dollars tax credit in the US 331 00:18:04,359 --> 00:18:07,919 Speaker 6: is eliminated, Uh, there's still going to be demand for EV's. 332 00:18:08,000 --> 00:18:09,879 Speaker 6: I think EV's are here to stay. They're still going 333 00:18:09,920 --> 00:18:12,080 Speaker 6: to be demand for EV's, but it's gonna hurt some 334 00:18:12,119 --> 00:18:15,920 Speaker 6: of the competitors that are not profitable in making EV's. 335 00:18:16,600 --> 00:18:21,040 Speaker 6: So it may lead to example like Ford, you know, 336 00:18:21,320 --> 00:18:26,320 Speaker 6: basically exiting kind of exiting the EV market, and we 337 00:18:26,440 --> 00:18:29,800 Speaker 6: might see some of the the rivals do the same thing. 338 00:18:29,960 --> 00:18:33,560 Speaker 6: For example, Volkswagen is actually not launching any more new 339 00:18:33,600 --> 00:18:37,199 Speaker 6: EV vehicles in the in North America. So you know, 340 00:18:37,280 --> 00:18:40,680 Speaker 6: if that's the case, you know there's potential that tests 341 00:18:40,800 --> 00:18:41,960 Speaker 6: like a game more market share. 342 00:18:43,320 --> 00:18:45,280 Speaker 2: Now that we've gone through a bunch of earnings for 343 00:18:45,359 --> 00:18:48,560 Speaker 2: the automakers, GM in particular sort of highlighted the risk 344 00:18:48,600 --> 00:18:51,960 Speaker 2: of tariffs on Canada and Mexico. Who do you think 345 00:18:52,080 --> 00:18:55,119 Speaker 2: is best positioned in the car world to weather a 346 00:18:55,200 --> 00:18:55,959 Speaker 2: tariff storm. 347 00:18:57,200 --> 00:19:00,720 Speaker 6: I think for for the US automakers, any US amakers 348 00:19:00,800 --> 00:19:06,640 Speaker 6: are more vertically integrated in the US will actually benefit. Look, 349 00:19:06,680 --> 00:19:09,600 Speaker 6: it's gonna hurt everybody. Tesla is not immune to it, 350 00:19:09,880 --> 00:19:12,920 Speaker 6: but it's all relative. I think. You know right now, 351 00:19:13,040 --> 00:19:17,480 Speaker 6: Tesla doesn't build any vehicles in Mexico or in Canada. 352 00:19:18,240 --> 00:19:20,880 Speaker 6: But you know the Big three do they and they 353 00:19:20,920 --> 00:19:22,680 Speaker 6: do a lot of it in Mexico. 354 00:19:23,240 --> 00:19:25,440 Speaker 5: All right, Steve, thanks so much. Appreciate that. Steve Man, 355 00:19:25,560 --> 00:19:28,720 Speaker 5: auto analyst Bloomberg in intelligers talk about the Tesla earning. 356 00:19:28,720 --> 00:19:31,320 Speaker 5: So let's go down to Washington, DC, the US Senate 357 00:19:31,359 --> 00:19:32,280 Speaker 5: Select Committee