1 00:00:02,360 --> 00:00:05,720 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,480 --> 00:00:11,000 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,080 --> 00:00:26,880 Speaker 1: Emily Jay I'm Emily changing San Francisco in This is 4 00:00:26,880 --> 00:00:30,080 Speaker 1: Bloomberg Technology. Coming up in the next hour. Tesla beats 5 00:00:30,120 --> 00:00:33,479 Speaker 1: the first major US car makers report first quarter results, 6 00:00:33,479 --> 00:00:37,240 Speaker 1: and they don't disappoint. How the company is weathering supply issues, 7 00:00:37,360 --> 00:00:41,920 Speaker 1: rising costs, and production delays, while it's CEO explores buying 8 00:00:42,080 --> 00:00:46,520 Speaker 1: Twitter plus Netflix still falling down on the day, making 9 00:00:46,560 --> 00:00:49,720 Speaker 1: it the s ANDPS worst performer of the year so far. 10 00:00:50,280 --> 00:00:54,160 Speaker 1: Is the solution adds gaming? Just better content or maybe 11 00:00:54,160 --> 00:00:58,600 Speaker 1: a big fire like Apple? Will explore all scenarios and 12 00:00:58,720 --> 00:01:01,200 Speaker 1: as public markets fall all the CEO of Amazon Web 13 00:01:01,200 --> 00:01:03,680 Speaker 1: Services tells me he's open to deals of all sizes. 14 00:01:03,880 --> 00:01:06,160 Speaker 1: Adam Selipski joins me here in the studio on the 15 00:01:06,200 --> 00:01:09,520 Speaker 1: heels of the AWS summit in San Francisco, will explore 16 00:01:09,560 --> 00:01:12,280 Speaker 1: the future of the cloud, and well, what about Amazon 17 00:01:12,520 --> 00:01:14,840 Speaker 1: as a buyer for Twitter? Lots to get to I 18 00:01:14,840 --> 00:01:18,040 Speaker 1: want to start by digging deeper into Tesla's results. I'm 19 00:01:18,080 --> 00:01:20,399 Speaker 1: joined out by Steve Wesley, founder of the Wesley Group. 20 00:01:20,440 --> 00:01:22,640 Speaker 1: He was an early investor in Tesla and is a 21 00:01:22,680 --> 00:01:25,440 Speaker 1: former Tesla board member. Okay, Steve, there's a lot going 22 00:01:25,480 --> 00:01:27,760 Speaker 1: on here. The call is gonna start a little bit 23 00:01:27,880 --> 00:01:30,480 Speaker 1: later in our show. We're gonna hear what Ellen has 24 00:01:30,560 --> 00:01:33,959 Speaker 1: to say live. Let's talk about the headline numbers. First, 25 00:01:34,120 --> 00:01:36,520 Speaker 1: how is it the Tesla's managing all of these very 26 00:01:36,520 --> 00:01:39,720 Speaker 1: difficult challenges out there, from a chip crisis to inflation 27 00:01:39,880 --> 00:01:46,280 Speaker 1: to you know, a production shutdown in Shanghai. So well, well, first, 28 00:01:46,840 --> 00:01:50,600 Speaker 1: Tesla Blue Way the numbers once again, posting three d 29 00:01:50,760 --> 00:01:54,400 Speaker 1: and ten thousand vehicles delivered. That's a big number. They 30 00:01:54,400 --> 00:01:58,120 Speaker 1: were predicted to deliver e seventot six billion, and it 31 00:01:58,120 --> 00:01:59,680 Speaker 1: looks like they're going to beat that by a good 32 00:01:59,680 --> 00:02:04,360 Speaker 1: marsh And folks, this is year over year growth, annual 33 00:02:04,400 --> 00:02:08,640 Speaker 1: growth off a big number and posting their eleventh profitable 34 00:02:08,680 --> 00:02:11,959 Speaker 1: quarter on top of that. The real story is they've 35 00:02:12,080 --> 00:02:15,640 Speaker 1: just opened two new facilities in Austin, Berlin. They're sitting 36 00:02:15,680 --> 00:02:20,880 Speaker 1: on four massive production facilities and they just have capacity 37 00:02:21,000 --> 00:02:24,640 Speaker 1: that others don't. Elon is saying he predicts Tesla will 38 00:02:24,680 --> 00:02:27,600 Speaker 1: deliver one point four million cars this year. I think 39 00:02:27,639 --> 00:02:30,320 Speaker 1: he's going to produce at least one point six million. 40 00:02:30,680 --> 00:02:33,600 Speaker 1: If they do that, they could be on their way 41 00:02:33,600 --> 00:02:36,840 Speaker 1: to becoming a one point trillion dollar company. We'll see. 42 00:02:37,880 --> 00:02:41,720 Speaker 1: There's been concerned that Elon Musk's interest in Twitter could 43 00:02:41,760 --> 00:02:44,960 Speaker 1: potentially distract him from Tesla. We've seen Tesla shares take 44 00:02:44,960 --> 00:02:49,000 Speaker 1: a leg down since this whole drama has unfolded. Of course, 45 00:02:49,000 --> 00:02:52,520 Speaker 1: we'll have to see where markets closed tomorrow. But what's 46 00:02:52,520 --> 00:02:54,560 Speaker 1: your take on that can he do all of this 47 00:02:54,680 --> 00:03:01,280 Speaker 1: at once? Well? Look, if a test to shareholder, you 48 00:03:01,280 --> 00:03:04,760 Speaker 1: probably wanted to stay focused on Tesla. Only Ellen and 49 00:03:04,960 --> 00:03:07,760 Speaker 1: Twitter's board know what is going to happen there. As 50 00:03:07,800 --> 00:03:09,960 Speaker 1: you know, he offered his best and final offer forty 51 00:03:10,080 --> 00:03:12,680 Speaker 1: three billion dollars last week. They responded with the boys 52 00:03:12,680 --> 00:03:15,760 Speaker 1: and Bill. Look, Elon is not one to take no 53 00:03:16,040 --> 00:03:19,760 Speaker 1: for an answer, But heading test less SpaceX and Twitter, 54 00:03:20,400 --> 00:03:23,040 Speaker 1: it feels like a stretch to me. But people have 55 00:03:23,160 --> 00:03:26,280 Speaker 1: lost a lot of money betting against Tesla, and I 56 00:03:26,320 --> 00:03:29,800 Speaker 1: think I know for sure this one's gonna be exciting. Indeed, 57 00:03:29,840 --> 00:03:31,959 Speaker 1: if you can build rockets to Mars, why not try 58 00:03:32,000 --> 00:03:37,760 Speaker 1: to buy Twitter? It certainly seems much more reasonable. Indeed, 59 00:03:37,840 --> 00:03:39,840 Speaker 1: all right, so let's talk about the challenges that lie 60 00:03:39,840 --> 00:03:44,920 Speaker 1: ahead for Tesla, given the chip crisis ongoing, given rising inflation, 61 00:03:45,240 --> 00:03:48,080 Speaker 1: given a pandemic that's not over. I mean, there's reports 62 00:03:48,120 --> 00:03:51,280 Speaker 1: that workers at the Tesla pant in Shanghai are planning 63 00:03:51,280 --> 00:03:54,880 Speaker 1: to sleep there to avoid further lockdowns. How well do 64 00:03:54,920 --> 00:03:57,480 Speaker 1: you think the company will continue to navigate all of 65 00:03:57,520 --> 00:04:03,120 Speaker 1: these things through the rest of the year. Look, there's 66 00:04:03,160 --> 00:04:05,600 Speaker 1: a lot going on in the auto industry, and generally speaking, 67 00:04:05,640 --> 00:04:09,400 Speaker 1: I would say if you're investor in auto companies, you 68 00:04:09,640 --> 00:04:15,120 Speaker 1: need to be careful because you're seeing huge supply chain challenges. 69 00:04:15,440 --> 00:04:18,080 Speaker 1: Most of these other companies don't even have their factories 70 00:04:18,279 --> 00:04:20,880 Speaker 1: up and running, and we could be heading into a recession. 71 00:04:21,720 --> 00:04:24,159 Speaker 1: And precisely at the same time all that's going on 72 00:04:24,279 --> 00:04:29,479 Speaker 1: their twenty new EV companies coming into the market, Rivan, Lucid. 73 00:04:29,520 --> 00:04:32,120 Speaker 1: You've heard all the names, but the reality is it's 74 00:04:32,200 --> 00:04:35,640 Speaker 1: hard to make e vs, and you're seeing Rivan and 75 00:04:35,880 --> 00:04:40,600 Speaker 1: Lucid already backtracking on numbers, pulling numbers down. Ford and 76 00:04:40,720 --> 00:04:44,400 Speaker 1: General Motors dramatically lower numbers than people have expected. Ford 77 00:04:44,760 --> 00:04:48,320 Speaker 1: fewer than seven thousands n e vs delivered this quarter, 78 00:04:48,720 --> 00:04:52,680 Speaker 1: General Motors less than a thousand, so I think the 79 00:04:52,720 --> 00:04:56,400 Speaker 1: takeaway here is touch Slate is lapping the competition when 80 00:04:56,480 --> 00:04:58,880 Speaker 1: most of the other automakers are just getting buckled in. 81 00:04:59,440 --> 00:05:03,400 Speaker 1: Let's see how checks out. There's also, of course, what 82 00:05:03,520 --> 00:05:07,279 Speaker 1: you mentioned the R word recession inflation on the rise. 83 00:05:07,640 --> 00:05:10,000 Speaker 1: Are people going to want to buy new cars right now? 84 00:05:10,040 --> 00:05:13,400 Speaker 1: Maybe Tesla is the best at making e vs, but 85 00:05:14,000 --> 00:05:19,520 Speaker 1: doesn't matter if people aren't buying them. So that's the 86 00:05:19,520 --> 00:05:21,479 Speaker 1: big issue. You know. On the one hand, if you 87 00:05:21,560 --> 00:05:24,800 Speaker 1: go down to the testa dealership, now they're gonna tell 88 00:05:24,839 --> 00:05:29,080 Speaker 1: you eight, ten, twelve month wait. So there's a huge 89 00:05:29,120 --> 00:05:32,240 Speaker 1: demand there. The question is will that cool off? In 90 00:05:32,320 --> 00:05:34,600 Speaker 1: Q two or Q three. Looks to me like there's 91 00:05:34,640 --> 00:05:37,080 Speaker 1: a lot of pent up demand. Tesla will take advantage 92 00:05:37,080 --> 00:05:39,360 Speaker 1: of it because they have got four plants going now 93 00:05:39,520 --> 00:05:43,080 Speaker 1: and by the way, a or in the process of 94 00:05:43,160 --> 00:05:46,600 Speaker 1: doubling capacity of their plant in Shanghai. By the way, 95 00:05:46,640 --> 00:05:48,760 Speaker 1: just for the viewers, we can picture this. You've all 96 00:05:48,760 --> 00:05:52,200 Speaker 1: have been to a costco. The Tesla facility in China 97 00:05:52,480 --> 00:05:55,240 Speaker 1: is ten million square feet. That's the size of one 98 00:05:55,320 --> 00:05:59,120 Speaker 1: hundred costcos placed next to each other. These are huge facilities. 99 00:05:59,160 --> 00:06:01,480 Speaker 1: There's are up and running, others aren't just also do 100 00:06:01,600 --> 00:06:05,200 Speaker 1: something smart. They've put supply chain contracts with firms you've 101 00:06:05,200 --> 00:06:09,159 Speaker 1: probably never heard of, like Veil, the world's largest nickel producer, 102 00:06:09,480 --> 00:06:12,599 Speaker 1: so they know where the supply supply is coming from 103 00:06:12,640 --> 00:06:16,080 Speaker 1: and they've got I think a leg up on supply chain. Now, 104 00:06:16,960 --> 00:06:19,760 Speaker 1: how is and how big a recession is coming? That's 105 00:06:19,800 --> 00:06:24,279 Speaker 1: hard to predict right now there in the capperl seat. Meantime, 106 00:06:24,520 --> 00:06:28,000 Speaker 1: Steve in the long list of other things that Elon 107 00:06:28,120 --> 00:06:31,280 Speaker 1: Musk has to deal with, there is this lawsuit over 108 00:06:31,320 --> 00:06:35,599 Speaker 1: that tweet that he sent in funding secured. He's being 109 00:06:35,640 --> 00:06:39,120 Speaker 1: sued by shareholders over this. He had asked to judge 110 00:06:39,279 --> 00:06:43,320 Speaker 1: if he could continue tweeting about it, making comments about it. Uh, 111 00:06:43,360 --> 00:06:45,600 Speaker 1: you know, as the suit is ongoing. A judge has 112 00:06:45,640 --> 00:06:48,640 Speaker 1: now ruled that yes he can. He's not going to 113 00:06:48,720 --> 00:06:52,280 Speaker 1: be muzzled. What do you make of this particular situation, 114 00:06:52,360 --> 00:06:54,839 Speaker 1: the fact that this is going on now almost five 115 00:06:54,920 --> 00:07:01,440 Speaker 1: years So, look, you've got a guy who's gonna get 116 00:07:01,440 --> 00:07:03,320 Speaker 1: out of the park with SpaceX, out of the park 117 00:07:03,360 --> 00:07:07,320 Speaker 1: with tesla Um. Would I advise him to get into 118 00:07:07,520 --> 00:07:11,320 Speaker 1: a a pissing match with the SEC or the government? 119 00:07:11,600 --> 00:07:15,480 Speaker 1: Probably not, But Elon is nothing if not genuine. He 120 00:07:15,680 --> 00:07:17,560 Speaker 1: As I said before, people have lost a lot of 121 00:07:17,600 --> 00:07:21,760 Speaker 1: money betting against him. We'll see how this shakes out. 122 00:07:22,080 --> 00:07:25,200 Speaker 1: It's really only up to the SEC to decide. Personally, 123 00:07:25,560 --> 00:07:28,679 Speaker 1: I'd love to see him staying focused on building great vehicles, 124 00:07:28,680 --> 00:07:30,320 Speaker 1: because right now he's doing a heck of a good 125 00:07:30,400 --> 00:07:34,120 Speaker 1: job of that, all right. Steve Wesley, founder of the 126 00:07:34,160 --> 00:07:37,400 Speaker 1: Wesley Group, early investor in Tesla, early Tesla board member. 127 00:07:37,440 --> 00:07:39,840 Speaker 1: Always great to have your perspective here on the show. 128 00:07:49,080 --> 00:07:51,960 Speaker 1: Some announcements from the Amazon Web Services Summit right here 129 00:07:52,040 --> 00:07:55,640 Speaker 1: in San Francisco. Amazon has taken a new step toward 130 00:07:55,720 --> 00:07:59,440 Speaker 1: getting all of its power from green sources. By the 131 00:07:59,440 --> 00:08:02,320 Speaker 1: world's large just online retailer, has reached deals to boost 132 00:08:02,360 --> 00:08:06,280 Speaker 1: its access to renewable energy by almost a third. Most 133 00:08:06,280 --> 00:08:09,120 Speaker 1: of it will come from solar farms in the United States. 134 00:08:09,160 --> 00:08:13,679 Speaker 1: It will be used to supply Amazon's offices, warehouses, and 135 00:08:14,720 --> 00:08:22,400 Speaker 1: data centers. Meantime, Adam Slitsky, CEO of AWS, joined meat 136 00:08:22,440 --> 00:08:25,320 Speaker 1: here on the set in San Francisco. We're gonna get 137 00:08:25,320 --> 00:08:27,240 Speaker 1: to that conversation momentarily, but first I want to get 138 00:08:27,280 --> 00:08:30,520 Speaker 1: back to our Ed Ludlow, who's been following testa's results, 139 00:08:30,560 --> 00:08:34,640 Speaker 1: and we're not just minutes away from the Tesla earnings call. Normally, 140 00:08:34,640 --> 00:08:37,720 Speaker 1: how this goes, I believe Elon jumps on, muddles through 141 00:08:37,760 --> 00:08:42,559 Speaker 1: some prepared remarks, and then goes off the cuff, right, Yeah, 142 00:08:42,640 --> 00:08:47,760 Speaker 1: he kind of respectfully mumbles through prepared remarks before passing 143 00:08:47,800 --> 00:08:50,760 Speaker 1: on to Zach kirk Con who's the CFO. Sometimes Shrew Bagnino, 144 00:08:50,840 --> 00:08:54,000 Speaker 1: who's the s VP of power Train and Energy, but 145 00:08:54,040 --> 00:08:56,280 Speaker 1: he often interjects. But as you know him, today is 146 00:08:56,320 --> 00:09:00,560 Speaker 1: four twenty. I know nothing's happened yet and being but 147 00:09:00,679 --> 00:09:04,439 Speaker 1: we were all expecting a big moment exactly. So a 148 00:09:04,480 --> 00:09:06,760 Speaker 1: lot of Twitter users to Twitter and said, oh, I 149 00:09:06,760 --> 00:09:09,040 Speaker 1: wonder if Elon Musk tagging him in the tweet at 150 00:09:09,040 --> 00:09:12,160 Speaker 1: Elon Musque will be on the cool He replied yes, 151 00:09:12,760 --> 00:09:14,839 Speaker 1: So you know there's a lot going on in Elon 152 00:09:14,920 --> 00:09:17,480 Speaker 1: Must's world right now. The bid for Twitter tests are 153 00:09:17,480 --> 00:09:20,040 Speaker 1: having a great quarter in the first quarter, SpaceX doing 154 00:09:20,080 --> 00:09:23,439 Speaker 1: really well. There's just intense interest here. But what is 155 00:09:23,480 --> 00:09:25,640 Speaker 1: it we want to know from him? Probably if he's 156 00:09:25,640 --> 00:09:28,120 Speaker 1: not going to talk about Twitter, the outlook for Cybertruck, 157 00:09:28,160 --> 00:09:30,520 Speaker 1: the outlook for Semi truck, these kind of new products 158 00:09:30,800 --> 00:09:32,920 Speaker 1: because that's what he does. He keeps investors looking to 159 00:09:32,960 --> 00:09:37,760 Speaker 1: the horizon. So could we hear something more dramatic from 160 00:09:37,800 --> 00:09:39,960 Speaker 1: him on the Tesla Ernis call. Could that be the 161 00:09:40,000 --> 00:09:43,120 Speaker 1: moment that he chooses to do some sort of reveal 162 00:09:43,440 --> 00:09:46,200 Speaker 1: or make a move if I was a betting man. Yes, 163 00:09:47,320 --> 00:09:49,440 Speaker 1: all right, we'll be listening into that call as it 164 00:09:49,480 --> 00:09:53,760 Speaker 1: starts momentarily ed, thank you. Meantime, back to that conversation 165 00:09:53,840 --> 00:09:57,160 Speaker 1: with Adam Selipski, the CEO of a w S AS 166 00:09:57,160 --> 00:10:00,000 Speaker 1: I mentioned a slew of new announcements, including thirty seven 167 00:10:00,040 --> 00:10:04,080 Speaker 1: in new renewable energy projects, thirty million dollar commitment to 168 00:10:04,280 --> 00:10:08,119 Speaker 1: startups led by diverse founders. My conversation with Adam Selipsky 169 00:10:08,320 --> 00:10:11,840 Speaker 1: earlier talking about the future of AWS and the cloud, 170 00:10:12,120 --> 00:10:16,600 Speaker 1: and two major Amazon Web Services outages late last year, 171 00:10:16,600 --> 00:10:18,160 Speaker 1: I asked what he learned from that. Take a listen. 172 00:10:19,679 --> 00:10:23,680 Speaker 1: Availability is absolutely critical. Our first priority is always security, 173 00:10:24,040 --> 00:10:28,920 Speaker 1: and immediately following that, operational performance including availability and overall, 174 00:10:28,960 --> 00:10:31,960 Speaker 1: if you look at the sixteen year operating history of AWS, 175 00:10:32,080 --> 00:10:34,480 Speaker 1: and even if you look at you know, shorter periods 176 00:10:34,679 --> 00:10:38,120 Speaker 1: the last year, the last three years, we've been highly reliable. 177 00:10:38,160 --> 00:10:42,040 Speaker 1: We've been highly available. We've had better availability track records 178 00:10:42,080 --> 00:10:46,400 Speaker 1: than other large cloud providers. Are certainly better than really 179 00:10:46,440 --> 00:10:48,840 Speaker 1: any enterprise I've talked to has been able to achieve 180 00:10:48,840 --> 00:10:51,040 Speaker 1: in their own data centers. So any evidence you've lost 181 00:10:51,040 --> 00:10:53,319 Speaker 1: customers as a result of those, No, We've had a 182 00:10:53,320 --> 00:10:55,720 Speaker 1: lot of conversations. I mean we Uh, we had a 183 00:10:55,720 --> 00:10:58,080 Speaker 1: couple of days of course in December, which you know, 184 00:10:58,120 --> 00:11:00,600 Speaker 1: we're not not good operational days and we own that, 185 00:11:00,640 --> 00:11:02,400 Speaker 1: by the way, you know, we don't we don't run 186 00:11:02,440 --> 00:11:06,440 Speaker 1: away from that. Um. And uh, we learned from them 187 00:11:06,440 --> 00:11:09,240 Speaker 1: and have been really trying to take whatever lessons we 188 00:11:09,320 --> 00:11:12,680 Speaker 1: could to make ourselves even more reliable. But as we've 189 00:11:12,679 --> 00:11:16,040 Speaker 1: talked to customers, uh, they've they've really all you know, 190 00:11:16,200 --> 00:11:21,319 Speaker 1: understood that. Um. While we don't like what happened on 191 00:11:21,320 --> 00:11:23,480 Speaker 1: a day like that at all, if because of our 192 00:11:23,480 --> 00:11:25,720 Speaker 1: customers hurt, you know, we we feel to hurt too. 193 00:11:26,040 --> 00:11:29,319 Speaker 1: That we really have a very strong track record and 194 00:11:29,600 --> 00:11:32,400 Speaker 1: that keeps the partnership strong. People have been asking for 195 00:11:32,520 --> 00:11:36,000 Speaker 1: years whether AWS should be spun off from Amazon. Do 196 00:11:36,040 --> 00:11:38,959 Speaker 1: you spend any time thinking about this or thinking about 197 00:11:38,960 --> 00:11:43,079 Speaker 1: the hypothetical benefits? Really only with folks like you, m 198 00:11:43,360 --> 00:11:46,240 Speaker 1: As it turns out, Uh, honestly not. We We have 199 00:11:46,320 --> 00:11:49,600 Speaker 1: no current plans to spend on AWS. We think that 200 00:11:50,080 --> 00:11:53,040 Speaker 1: our customers are very well served by having a w 201 00:11:53,280 --> 00:11:56,079 Speaker 1: s B a part of Amazon. In fact, so many 202 00:11:56,240 --> 00:11:59,560 Speaker 1: an increasing number of the conversations I have with particularly 203 00:11:59,559 --> 00:12:03,080 Speaker 1: big inn prizes UH they want to make use of 204 00:12:03,120 --> 00:12:06,560 Speaker 1: the capabilities at Amazon has across the company. Whether it's 205 00:12:07,120 --> 00:12:11,360 Speaker 1: energy companies want wanting to um sell us power, whether 206 00:12:11,440 --> 00:12:14,880 Speaker 1: it's auto manufacturers who have electric vehicles that we need 207 00:12:14,920 --> 00:12:17,840 Speaker 1: for our delivery fleets, whether it's UH telcos who want 208 00:12:17,880 --> 00:12:21,319 Speaker 1: to deliver five G enabled services to their consumers around 209 00:12:21,400 --> 00:12:25,280 Speaker 1: things like entertainment and and Amazon Prime Video. Okay, but 210 00:12:25,480 --> 00:12:27,800 Speaker 1: Andy Jesse might have said he never thought about a 211 00:12:27,840 --> 00:12:31,560 Speaker 1: stock split, and recent events show that even in this environment, 212 00:12:31,600 --> 00:12:34,640 Speaker 1: sometimes we have to revisit those sacred cows. Has the 213 00:12:34,640 --> 00:12:37,559 Speaker 1: idea of a split ever come up in a conversation 214 00:12:37,920 --> 00:12:41,920 Speaker 1: with Andy or Jeff, It's it's really not a topic 215 00:12:41,960 --> 00:12:45,199 Speaker 1: of conversation. We were very squarely focused on the way 216 00:12:45,200 --> 00:12:48,080 Speaker 1: we're operating today. We we honestly do not have any 217 00:12:48,120 --> 00:12:52,439 Speaker 1: plans in which I'm aware to uh really entertain split 218 00:12:52,480 --> 00:12:55,520 Speaker 1: off of AWS. We think the way that we're organized 219 00:12:55,559 --> 00:12:58,440 Speaker 1: now is actually very good for customers. That said, the 220 00:12:58,480 --> 00:13:01,760 Speaker 1: market is changing, eulations are dropping. If you look at 221 00:13:01,800 --> 00:13:04,600 Speaker 1: what's happening in the macro environment. How is this impacting 222 00:13:04,600 --> 00:13:11,480 Speaker 1: your strategy around acquisitions? We've seen Microsoft be really opportunistic. Well, 223 00:13:11,520 --> 00:13:15,880 Speaker 1: we've We've very consistently done acquisitions over the really the 224 00:13:15,880 --> 00:13:19,720 Speaker 1: whole history of AWS. I'd say that overall our strategy 225 00:13:19,760 --> 00:13:23,040 Speaker 1: has been to do smaller, tuck in acquisitions. Part of 226 00:13:23,040 --> 00:13:26,520 Speaker 1: that it's because we're trying to build a complete infrastructure 227 00:13:26,520 --> 00:13:28,840 Speaker 1: platform and we want the whole thing to operate as 228 00:13:28,920 --> 00:13:32,480 Speaker 1: a single platform. Casual spectators often point out that Amazon 229 00:13:32,559 --> 00:13:35,400 Speaker 1: doesn't really have a social play. Does Amazon need a 230 00:13:35,480 --> 00:13:39,520 Speaker 1: social play? Could it be could a Twitter makes sense? 231 00:13:40,800 --> 00:13:43,560 Speaker 1: Well that I don't know, but we certainly, I mean 232 00:13:43,559 --> 00:13:46,360 Speaker 1: a big part of all of Amazon's businesses and and 233 00:13:46,440 --> 00:13:49,880 Speaker 1: our strategy into different businesses revolve around partners and our ecosystem. 234 00:13:50,200 --> 00:13:52,440 Speaker 1: Certainly to an AWS it's two and other parts of 235 00:13:52,480 --> 00:13:57,200 Speaker 1: the business as well. So we're very close to many 236 00:13:57,240 --> 00:14:00,280 Speaker 1: companies with a very strong social presence, be it as 237 00:14:00,520 --> 00:14:03,880 Speaker 1: as AWS customers or in our retail business for customer 238 00:14:03,920 --> 00:14:07,960 Speaker 1: acquisition and UH customer messaging, doing more and more in 239 00:14:08,000 --> 00:14:11,000 Speaker 1: the retail business with the shopping experience using social channels. 240 00:14:11,040 --> 00:14:14,920 Speaker 1: So we're very intertwined with social media companies, and I 241 00:14:14,920 --> 00:14:17,480 Speaker 1: would imagine across all of our business what will continue 242 00:14:17,480 --> 00:14:20,320 Speaker 1: to be closely intertwined. One of those is Meta, which 243 00:14:20,360 --> 00:14:22,880 Speaker 1: recently picked Amazon as its long term cloud provider. I'm 244 00:14:22,880 --> 00:14:24,800 Speaker 1: curious if Meta is just giving you a piece of 245 00:14:24,800 --> 00:14:27,440 Speaker 1: their business or if this is a step towards them 246 00:14:27,480 --> 00:14:31,280 Speaker 1: getting out of their own data center business. Well, I 247 00:14:31,280 --> 00:14:34,360 Speaker 1: think you have to ask them that. But we've been 248 00:14:34,400 --> 00:14:36,680 Speaker 1: working with them for quite a while. But we and 249 00:14:36,720 --> 00:14:39,640 Speaker 1: they did announce recently that they were doing a significant 250 00:14:39,640 --> 00:14:44,680 Speaker 1: amount of their machine learning workloads on AWS and would 251 00:14:44,680 --> 00:14:47,640 Speaker 1: be doing more that going forward, and UM, we really 252 00:14:48,280 --> 00:14:50,680 Speaker 1: love that as the next development and our long term 253 00:14:50,680 --> 00:14:53,800 Speaker 1: partnership with them. UM. I do think there's a lot 254 00:14:53,840 --> 00:14:56,040 Speaker 1: of things so we can do with with companies like 255 00:14:56,120 --> 00:14:59,680 Speaker 1: that together. UM to the economics, the agility, the flexibility 256 00:14:59,720 --> 00:15:02,520 Speaker 1: of parading in the cloud, or are just so strong 257 00:15:02,560 --> 00:15:06,520 Speaker 1: and powerful and even for a large sophisticated UH cost 258 00:15:06,560 --> 00:15:10,000 Speaker 1: effective companies, there's still a lot of benefits to operating 259 00:15:10,000 --> 00:15:13,760 Speaker 1: in the cloud. How much companies like that move to 260 00:15:13,800 --> 00:15:15,960 Speaker 1: the cloud, move to AWS will be a function of 261 00:15:16,240 --> 00:15:19,240 Speaker 1: how well do we understand and anticipate their needs and 262 00:15:19,280 --> 00:15:22,680 Speaker 1: how well can we build in a way that's really 263 00:15:22,680 --> 00:15:25,680 Speaker 1: effective for them for their own customer acquisition and retention. 264 00:15:25,720 --> 00:15:28,120 Speaker 1: There's a lot of new exciting technologies out there. Andy 265 00:15:28,200 --> 00:15:30,800 Speaker 1: recently said that Amazon could potentially sell n f t 266 00:15:31,000 --> 00:15:33,120 Speaker 1: s in the future. How do you think about n 267 00:15:33,160 --> 00:15:36,800 Speaker 1: f t S, blockchain, web, three, the metaverse. Where's the 268 00:15:36,840 --> 00:15:41,000 Speaker 1: opportunity there for AWS? Where do you want to play Boy? 269 00:15:41,040 --> 00:15:43,480 Speaker 1: There's just a lot of buzzwords in that center, aren't there? 270 00:15:43,520 --> 00:15:47,120 Speaker 1: There are We're wondering what the actual market opportunity is. 271 00:15:47,760 --> 00:15:51,160 Speaker 1: What fundamentally, you know, what we want to do is 272 00:15:51,200 --> 00:15:55,040 Speaker 1: to enable all of the underlying technologies that our customers 273 00:15:55,080 --> 00:15:58,200 Speaker 1: at AWS. Customers need to build all of those things, 274 00:15:58,240 --> 00:16:01,440 Speaker 1: to build the metaverse, to build you know, three D computing, UH, 275 00:16:01,520 --> 00:16:05,600 Speaker 1: to build a blockchain and cryptocurrency applications, and we're currently 276 00:16:05,600 --> 00:16:07,760 Speaker 1: doing that. So if you look at I mean, gaming 277 00:16:07,760 --> 00:16:10,280 Speaker 1: companies are often where people start when they talk about 278 00:16:10,520 --> 00:16:13,400 Speaker 1: quote unquote metaverse companies. And if you look at companies 279 00:16:13,440 --> 00:16:16,480 Speaker 1: like Riot Games, if you look at epic. Uh, they're 280 00:16:16,520 --> 00:16:20,320 Speaker 1: both you know, very deep AWS customers. If you look 281 00:16:20,320 --> 00:16:22,760 Speaker 1: at Meta which is of course even had had a 282 00:16:22,840 --> 00:16:26,880 Speaker 1: name change. UM, we're doing more with them over time, 283 00:16:26,880 --> 00:16:31,080 Speaker 1: which is which is really gratifying. And so we also 284 00:16:31,120 --> 00:16:34,240 Speaker 1: do a lot we have blockchain services. UH and if 285 00:16:34,280 --> 00:16:39,080 Speaker 1: you look at things like Ethereum, of Ethereum workloads in 286 00:16:39,120 --> 00:16:42,040 Speaker 1: the world run on AWS. So we're doing more and 287 00:16:42,040 --> 00:16:46,600 Speaker 1: more around blockchain, around Ledger technology, around three D and 288 00:16:46,880 --> 00:16:49,080 Speaker 1: spatial computing, which is going to be an important part 289 00:16:49,280 --> 00:16:52,280 Speaker 1: of the metaverse. And UH at the AW strategies to 290 00:16:52,440 --> 00:16:56,240 Speaker 1: really again try and be uh as far out ahead 291 00:16:56,960 --> 00:17:00,840 Speaker 1: of where those emerging metaverse company demand ends and blockchain 292 00:17:00,880 --> 00:17:04,800 Speaker 1: and cryptocurrency customer demands are going to be, and UH 293 00:17:04,800 --> 00:17:09,920 Speaker 1: and deliver really great innovative services. M Amazon Web Services 294 00:17:09,920 --> 00:17:12,440 Speaker 1: CEO Adam Selipsky. There you can catch that full interview 295 00:17:12,480 --> 00:17:23,760 Speaker 1: at Bloomberg dot com. Let's get an update on the 296 00:17:23,840 --> 00:17:27,280 Speaker 1: Musque Twitter saga continuing to go viral. Elon Musk now 297 00:17:27,320 --> 00:17:30,639 Speaker 1: reaching out to potential financing partners across Wall Street. But 298 00:17:30,640 --> 00:17:33,040 Speaker 1: the question is he having any luck. I'm gonna bring 299 00:17:33,040 --> 00:17:36,240 Speaker 1: in Bloomberg's Michelle Davis for more on that, Michelle, who's 300 00:17:36,280 --> 00:17:39,760 Speaker 1: actually considering this? Yeah, so, you know, as we know, 301 00:17:39,920 --> 00:17:42,160 Speaker 1: the most interesting one of the most interesting parts about 302 00:17:42,200 --> 00:17:44,800 Speaker 1: musk S bid for Twitter is that he didn't made 303 00:17:44,800 --> 00:17:47,359 Speaker 1: it public without having the financing lined up. We know 304 00:17:47,440 --> 00:17:49,720 Speaker 1: that as of now, he has started to have financing 305 00:17:49,720 --> 00:17:53,120 Speaker 1: conversations with potential financing partners. At this point, he's only 306 00:17:53,160 --> 00:17:55,919 Speaker 1: focused on raising debt UM. It's our understanding that he 307 00:17:55,920 --> 00:18:00,000 Speaker 1: has yet to initiate conversation around you know, raising equity UM. 308 00:18:00,160 --> 00:18:02,159 Speaker 1: And so it's his bank Morgan Stanley reaching out to 309 00:18:02,480 --> 00:18:05,800 Speaker 1: other big banks UM reaching out to We understand Apollo 310 00:18:06,080 --> 00:18:09,800 Speaker 1: has agreed to participate help you know, finance through debt 311 00:18:09,840 --> 00:18:12,679 Speaker 1: this offer UM. But at this point we also know 312 00:18:12,720 --> 00:18:15,520 Speaker 1: that there are a couple of firms like Blackstone, Brookfield 313 00:18:15,640 --> 00:18:18,040 Speaker 1: and Vista that have at this point said, you know, 314 00:18:18,200 --> 00:18:20,680 Speaker 1: we kind of want to stay away from this situation. 315 00:18:20,760 --> 00:18:24,280 Speaker 1: We're not going to help provide any financing. Do any 316 00:18:24,320 --> 00:18:27,520 Speaker 1: context done? How much how these conversations are actually going. 317 00:18:27,600 --> 00:18:32,000 Speaker 1: Is he putting pressure on on potential investors here, like, Hey, 318 00:18:32,040 --> 00:18:33,600 Speaker 1: if you work with me, you get the benefits of 319 00:18:33,840 --> 00:18:37,440 Speaker 1: working with me, and I've got obviously a huge portfolio. Yeah. 320 00:18:37,520 --> 00:18:39,639 Speaker 1: I mean, so that's one of the big questions that 321 00:18:39,680 --> 00:18:41,879 Speaker 1: we're trying to find out is how exactly what a 322 00:18:41,880 --> 00:18:45,360 Speaker 1: deal be structured. Um. Some things that have been floated 323 00:18:45,400 --> 00:18:47,600 Speaker 1: are you know, maybe investors could come in and they 324 00:18:47,680 --> 00:18:50,040 Speaker 1: might have some certainty baked in that they would have 325 00:18:50,119 --> 00:18:52,560 Speaker 1: veto power over what Musk says. But at this point 326 00:18:52,600 --> 00:18:54,560 Speaker 1: it's very you know, very little. We just know that 327 00:18:54,720 --> 00:18:58,200 Speaker 1: they are reaching out to other banks, other financing sources. 328 00:18:58,400 --> 00:19:01,200 Speaker 1: Morgan Stanley is a bank that's advice saying Elon Musk, 329 00:19:01,240 --> 00:19:03,359 Speaker 1: and so it's our understanding that you know, they would 330 00:19:03,359 --> 00:19:08,440 Speaker 1: help with provide some of the financing for him. But um, yeah, 331 00:19:08,560 --> 00:19:11,920 Speaker 1: unclear exactly you know, how it will be structured. How 332 00:19:11,960 --> 00:19:13,960 Speaker 1: long could it take before it becomes clear whether he 333 00:19:13,960 --> 00:19:18,040 Speaker 1: has money or not. So Elon Musk has indicated that 334 00:19:18,119 --> 00:19:21,600 Speaker 1: he wants to make an official tender offer at some 335 00:19:21,640 --> 00:19:25,160 Speaker 1: point soon. You know, he made a cryptic tweet past 336 00:19:25,280 --> 00:19:27,160 Speaker 1: night that you know, blank is the day. And so 337 00:19:27,359 --> 00:19:29,400 Speaker 1: before he does that tender offer, he's going to need 338 00:19:29,440 --> 00:19:33,440 Speaker 1: to have the financing gund up. Um, so soon when 339 00:19:33,480 --> 00:19:37,080 Speaker 1: would they Well, it is four twenty. I was waiting 340 00:19:37,080 --> 00:19:39,360 Speaker 1: for something, had to happen today, but we've still got 341 00:19:39,359 --> 00:19:42,200 Speaker 1: a few more hours. Michelle Davis, thank you so much. 342 00:19:50,680 --> 00:19:53,560 Speaker 1: And then it's disappointing for investors, and it is for sure. 343 00:19:53,640 --> 00:19:56,240 Speaker 1: It's just a softer seasonal quarter for us. We have 344 00:19:56,359 --> 00:20:01,600 Speaker 1: this addressable market that's expanding over town. Internally, we're really 345 00:20:01,640 --> 00:20:04,359 Speaker 1: geared up and this is like our moment to shine. 346 00:20:05,760 --> 00:20:08,880 Speaker 1: Welcome back to Bloomberg Technology Eclipse from the Netflix earnings 347 00:20:08,920 --> 00:20:11,439 Speaker 1: called I Want to Stick with Netflix, bringing Ross Gerber 348 00:20:11,440 --> 00:20:16,520 Speaker 1: whose investment from Gerber Kawasaki is also an investor in Netflix. Ross, 349 00:20:16,520 --> 00:20:20,280 Speaker 1: this has got to hurt. Yeah, well, you know, it 350 00:20:20,359 --> 00:20:22,720 Speaker 1: hurts for sure on the short term. But if you're 351 00:20:22,720 --> 00:20:26,280 Speaker 1: a long term investor like we are. I bought a 352 00:20:26,280 --> 00:20:31,080 Speaker 1: little bit myself today to be honest, Why why do 353 00:20:31,080 --> 00:20:36,119 Speaker 1: you think, why do you see potential? Well, it's what's 354 00:20:36,200 --> 00:20:40,080 Speaker 1: changed is really in my mind two things. Number one, 355 00:20:40,680 --> 00:20:42,919 Speaker 1: I don't really see the competition as really being the 356 00:20:42,920 --> 00:20:46,720 Speaker 1: biggest issue from other streamers. The competition is with real life, 357 00:20:47,080 --> 00:20:49,680 Speaker 1: and real life is back and people are going out 358 00:20:49,880 --> 00:20:51,680 Speaker 1: and people are going to Vegas and people are going 359 00:20:51,680 --> 00:20:55,240 Speaker 1: to Disneyland, and the problems are just watching less Netflix, 360 00:20:55,280 --> 00:20:57,360 Speaker 1: and and when you look at how many people are 361 00:20:57,520 --> 00:21:00,520 Speaker 1: getting Netflix for free and what that addressable market is, 362 00:21:00,680 --> 00:21:05,159 Speaker 1: which is actually a third of their total subscribers. Um, 363 00:21:05,240 --> 00:21:07,320 Speaker 1: Netflix still has a lot of room they can grow. 364 00:21:07,760 --> 00:21:10,400 Speaker 1: I think another thing a lot of people are talking 365 00:21:10,400 --> 00:21:13,399 Speaker 1: about is this could be a byproduct of the work 366 00:21:13,440 --> 00:21:16,560 Speaker 1: from home culture. You know, Netflix has really struggled with 367 00:21:16,600 --> 00:21:19,679 Speaker 1: the work from home culture because making movies and and 368 00:21:19,760 --> 00:21:22,520 Speaker 1: content is a collaborative process and it's been very difficult. 369 00:21:22,680 --> 00:21:25,000 Speaker 1: And Netflix is called all their employees back into the 370 00:21:25,080 --> 00:21:28,399 Speaker 1: office that's starting I think this month, and I think 371 00:21:28,960 --> 00:21:31,359 Speaker 1: Read Hastings and the team there are the smartest people 372 00:21:31,359 --> 00:21:33,600 Speaker 1: in Hollywood, and they're going to figure out new ways 373 00:21:33,640 --> 00:21:36,199 Speaker 1: to monetize their brand. And I think we just have 374 00:21:36,280 --> 00:21:40,720 Speaker 1: to change the metrics that we're valuing Netflix with towards 375 00:21:40,760 --> 00:21:45,119 Speaker 1: earnings growth and away from subscriber growth. And when you 376 00:21:45,119 --> 00:21:48,639 Speaker 1: look at that, Netflix is a very cheap store. So 377 00:21:48,720 --> 00:21:51,479 Speaker 1: let's talk about the ways that they could unlock new growth. 378 00:21:51,680 --> 00:21:54,760 Speaker 1: One cracking down on password sharing. How much growth is 379 00:21:54,760 --> 00:21:56,600 Speaker 1: that really going to unlock? Then of course there's the 380 00:21:56,640 --> 00:21:59,919 Speaker 1: idea of an ad supported model, a tiered model gaming, 381 00:22:00,359 --> 00:22:04,120 Speaker 1: or maybe it's just making better content, which of all 382 00:22:04,160 --> 00:22:07,240 Speaker 1: of those options seems to be the hardest. Well, better 383 00:22:07,280 --> 00:22:10,680 Speaker 1: content is sort of a nonsensical thing right now. They 384 00:22:10,680 --> 00:22:13,720 Speaker 1: have the most watched shows on television currently. Uh, I 385 00:22:13,760 --> 00:22:18,639 Speaker 1: think it's inventing Hannah, which my wife is watching like NonStop. 386 00:22:19,040 --> 00:22:21,000 Speaker 1: They have the best producers in Hollywood, and they have 387 00:22:21,000 --> 00:22:23,800 Speaker 1: every great project in Hollywood. So the content isn't the issue. 388 00:22:24,240 --> 00:22:27,439 Speaker 1: The issue is monetizing the content in ways that they 389 00:22:27,480 --> 00:22:29,879 Speaker 1: haven't in the past. And I'm a big believer that 390 00:22:29,960 --> 00:22:34,760 Speaker 1: Netflix needs to reinvent the theater experience around their shows 391 00:22:34,760 --> 00:22:38,160 Speaker 1: and movies. And there's many ways they can monetize, between merchandise, 392 00:22:38,440 --> 00:22:41,400 Speaker 1: events and communities they can build around their content, which 393 00:22:41,400 --> 00:22:44,880 Speaker 1: they currently are not. Secondly, you've mentioned to I think 394 00:22:45,080 --> 00:22:49,240 Speaker 1: very important areas, which is an AD supported Netflix Light, 395 00:22:49,720 --> 00:22:52,639 Speaker 1: which they take zero dollars in on ad revenue. And 396 00:22:52,640 --> 00:22:54,760 Speaker 1: you look at a model like YouTube and how much 397 00:22:54,760 --> 00:22:59,040 Speaker 1: money they're printing on advertising and the engagement. Netflix has 398 00:22:59,080 --> 00:23:01,959 Speaker 1: the same engagement level as YouTube, and if they ran ads, 399 00:23:02,480 --> 00:23:04,960 Speaker 1: they would be very successful. And I would advertise on 400 00:23:05,040 --> 00:23:09,400 Speaker 1: Netflix for sure, you know. And so that's another thing. 401 00:23:09,520 --> 00:23:12,399 Speaker 1: And then of course half the people in my office 402 00:23:12,480 --> 00:23:16,399 Speaker 1: don't actually pay for Netflix. So I asked them, you know, well, 403 00:23:16,560 --> 00:23:19,000 Speaker 1: what would get you to pay? And it's the same 404 00:23:19,000 --> 00:23:21,399 Speaker 1: thing with iTunes and music where people didn't want to 405 00:23:21,440 --> 00:23:24,080 Speaker 1: pay until it became a hassle to do it. So 406 00:23:24,200 --> 00:23:28,479 Speaker 1: Netflix can employ several strategies to start monetizing these users, 407 00:23:28,520 --> 00:23:33,119 Speaker 1: and we suspect they could capture another million users, maybe 408 00:23:33,119 --> 00:23:37,040 Speaker 1: at a lower rate of cost, but I mean of revenue. 409 00:23:37,080 --> 00:23:39,680 Speaker 1: But but certainly there's a lot of growth. When you 410 00:23:39,760 --> 00:23:42,359 Speaker 1: got a hundred million subs, you aren't paying all right, 411 00:23:42,480 --> 00:23:45,960 Speaker 1: ross You are also a testlate shareholder. And the Tesla 412 00:23:46,000 --> 00:23:49,360 Speaker 1: earnings call has begun. We've been listening to the CFO 413 00:23:49,600 --> 00:23:53,280 Speaker 1: deliver some prepared remarks and Elon Musk is speaking. Now. 414 00:23:53,280 --> 00:23:56,520 Speaker 1: We're gonna bring you headlines as those roll in, But 415 00:23:56,680 --> 00:24:01,440 Speaker 1: curious what your thoughts are on the results looked. Tesla 416 00:24:01,440 --> 00:24:04,720 Speaker 1: has had a better report than than certainly Netflix yesterday. 417 00:24:04,760 --> 00:24:07,520 Speaker 1: But a lot going on in the world of Elon Musk. 418 00:24:07,640 --> 00:24:09,960 Speaker 1: Does it bother you as an investor that there are 419 00:24:10,040 --> 00:24:14,200 Speaker 1: all of these many distractions, Well, clearly they're not affecting 420 00:24:14,280 --> 00:24:18,240 Speaker 1: Tesla's focus. Um, you know, Elon's sort of lives on 421 00:24:18,280 --> 00:24:22,320 Speaker 1: another planet we call Mars, and he doesn't sleep, and 422 00:24:22,400 --> 00:24:25,639 Speaker 1: he has a tremendous passion for making the world a 423 00:24:25,680 --> 00:24:31,720 Speaker 1: better place and doing it profitably. How he's executed with 424 00:24:31,880 --> 00:24:38,080 Speaker 1: such a difficult supply chain environment and manufacturing environment further 425 00:24:38,160 --> 00:24:41,040 Speaker 1: shows the dominance and the mode that Tesla's built around 426 00:24:41,040 --> 00:24:43,560 Speaker 1: their business and in the foresight that Elon hasn't being 427 00:24:43,600 --> 00:24:47,200 Speaker 1: able to deliver so many vehicles profitably in this environment 428 00:24:47,200 --> 00:24:49,720 Speaker 1: where no other company is doing that in their industry, 429 00:24:49,760 --> 00:24:53,439 Speaker 1: whether traditional cars or e vs. So where I think 430 00:24:53,640 --> 00:24:55,879 Speaker 1: the lack of focus at Netflix has caused them to 431 00:24:55,960 --> 00:24:58,359 Speaker 1: drift a little bit and now creating an opportunity for 432 00:24:58,400 --> 00:25:01,720 Speaker 1: long term investors. Testa obviously is a fully valued company 433 00:25:01,760 --> 00:25:05,880 Speaker 1: that's executing really, really well, and I think we'll continue 434 00:25:05,880 --> 00:25:08,159 Speaker 1: to for a long time. So this is really a 435 00:25:08,160 --> 00:25:11,440 Speaker 1: special time for Tesla because next sir looks even better 436 00:25:11,840 --> 00:25:15,680 Speaker 1: than this year and they're executing beautiful. The CFO has 437 00:25:15,680 --> 00:25:18,360 Speaker 1: been digging into this idea of you know, the impact 438 00:25:18,440 --> 00:25:22,040 Speaker 1: of the production shutdown in Shakai, saying they lost about 439 00:25:22,119 --> 00:25:26,240 Speaker 1: a month of build volume. They're they're working back to 440 00:25:26,240 --> 00:25:29,160 Speaker 1: to get full productive, full projection as quickly as possible, 441 00:25:29,280 --> 00:25:32,720 Speaker 1: But how big of a concern is this ongoing, given 442 00:25:32,720 --> 00:25:35,520 Speaker 1: that the Shanghai factory is such a lynch pin of 443 00:25:35,520 --> 00:25:39,240 Speaker 1: Tesla's production strategy. Yeah, and I don't want to minimize 444 00:25:39,280 --> 00:25:41,600 Speaker 1: the concern because I think this is the biggest risk 445 00:25:41,680 --> 00:25:44,399 Speaker 1: to many companies, not just Tesla right now, which is 446 00:25:44,840 --> 00:25:49,520 Speaker 1: China's failed COVID policies are creating huge problems not just 447 00:25:49,680 --> 00:25:52,320 Speaker 1: at Tesla, but also a companies like Apple and others 448 00:25:52,320 --> 00:25:55,280 Speaker 1: in the hardware business in technology, so we're seeing and 449 00:25:55,400 --> 00:25:58,960 Speaker 1: other industries as well. So we're seeing continued disruption, even 450 00:25:59,000 --> 00:26:03,239 Speaker 1: worse than we saw earlier, which sucks. So you know, 451 00:26:03,640 --> 00:26:05,800 Speaker 1: I don't have a spin on that. What I do 452 00:26:05,880 --> 00:26:08,440 Speaker 1: think is they are opening. They just opened to new 453 00:26:08,520 --> 00:26:12,080 Speaker 1: factories and to new markets that aren't it China, and 454 00:26:12,119 --> 00:26:14,600 Speaker 1: there couldn't be a better time for that to happen. 455 00:26:15,160 --> 00:26:17,639 Speaker 1: But what I do suspect is that China is going 456 00:26:17,680 --> 00:26:20,359 Speaker 1: to be challenging for Tesla over the next six months. 457 00:26:20,640 --> 00:26:22,560 Speaker 1: I think it's a short term issue and I think 458 00:26:22,560 --> 00:26:25,639 Speaker 1: it will hurt production on the short term, but I 459 00:26:25,640 --> 00:26:27,400 Speaker 1: think they're going to make it up in the other 460 00:26:27,440 --> 00:26:30,440 Speaker 1: factories because I think what we're gonna see is tremendous 461 00:26:30,560 --> 00:26:34,440 Speaker 1: uh productivity and growth in Berlin and Austin, and so 462 00:26:34,840 --> 00:26:39,760 Speaker 1: I think within sixty days they'll have figured out how 463 00:26:39,800 --> 00:26:42,040 Speaker 1: to make up all the production that might be lost. 464 00:26:42,080 --> 00:26:43,639 Speaker 1: But I think for sure we're going to see that 465 00:26:43,640 --> 00:26:45,200 Speaker 1: in the quarter, and I don't think there's any spin 466 00:26:45,240 --> 00:26:49,080 Speaker 1: on it. Elon Musk just give a shout out to 467 00:26:49,200 --> 00:26:53,280 Speaker 1: the Tesla China team and the Shanghai factory. Talked about 468 00:26:53,520 --> 00:26:56,240 Speaker 1: how it's been a record quarter on many levels, but 469 00:26:56,359 --> 00:26:59,119 Speaker 1: this the latest headline saying Tesla Ross is working on 470 00:26:59,160 --> 00:27:04,480 Speaker 1: a dedicated robo taxi with no steering wheel or pedals. 471 00:27:04,600 --> 00:27:06,760 Speaker 1: Of course, you know, el On Musk, because you know, 472 00:27:06,840 --> 00:27:10,040 Speaker 1: talk quite boldly about things that will come in Testa's future, 473 00:27:10,040 --> 00:27:12,960 Speaker 1: and many things have taken a while to come to fruition, 474 00:27:13,080 --> 00:27:15,240 Speaker 1: some haven't quite yet. But do you like the sound 475 00:27:15,240 --> 00:27:17,840 Speaker 1: of that? Yeah? I do. And I think this is 476 00:27:17,880 --> 00:27:21,120 Speaker 1: really more a byproduct of the convergence of the full 477 00:27:21,160 --> 00:27:24,640 Speaker 1: self driving technology, which is making a lot of progress currently, 478 00:27:25,000 --> 00:27:27,520 Speaker 1: along with the idea of having a cheaper vehicle that 479 00:27:27,880 --> 00:27:31,240 Speaker 1: would cost less money, like let's say thirty dollar price 480 00:27:31,280 --> 00:27:34,359 Speaker 1: point instead of fifties sixty price point. But instead of 481 00:27:34,359 --> 00:27:37,520 Speaker 1: selling that cheaper vehicle, we've seen tremendous demand from the 482 00:27:37,560 --> 00:27:40,919 Speaker 1: rental car companies for low end Testla's whether it be 483 00:27:41,000 --> 00:27:44,000 Speaker 1: Hurts or others. And so I think test is like, well, 484 00:27:44,040 --> 00:27:48,520 Speaker 1: why should we make rental cars, you know our robotaxis 485 00:27:48,560 --> 00:27:50,639 Speaker 1: for everybody else, We should make them for ourselves, and 486 00:27:50,760 --> 00:27:53,639 Speaker 1: especially this new vehicle which is using the new battery 487 00:27:53,640 --> 00:27:56,600 Speaker 1: cell technology. So what I suspect is that Tesla fields 488 00:27:56,600 --> 00:27:59,919 Speaker 1: they can build low cost vehicles using all their technology 489 00:28:00,280 --> 00:28:03,439 Speaker 1: in battery technology as well as full self driving to 490 00:28:03,600 --> 00:28:07,640 Speaker 1: create this sort of master yellow cab without a human 491 00:28:07,680 --> 00:28:09,680 Speaker 1: in it. And and I think that that's a reality. 492 00:28:10,080 --> 00:28:12,600 Speaker 1: It's just how long it'll take. And I think that's 493 00:28:12,640 --> 00:28:16,080 Speaker 1: really been the challenge with Tesla isn't the vision, it's 494 00:28:16,160 --> 00:28:18,600 Speaker 1: it's how long it takes to achieve those visions. So 495 00:28:18,600 --> 00:28:20,280 Speaker 1: so I don't know how long that's gonna take. But 496 00:28:20,880 --> 00:28:23,320 Speaker 1: but I wouldn't be betting against Ellen, That's for sure. 497 00:28:23,480 --> 00:28:26,360 Speaker 1: I'm betting with him, and I'm betting more with him. Well, 498 00:28:26,480 --> 00:28:30,760 Speaker 1: he's saying he hopes to reach volume production in and 499 00:28:30,760 --> 00:28:34,679 Speaker 1: says this will be a massive driver of Tesla growth 500 00:28:34,680 --> 00:28:37,800 Speaker 1: timing for us. Interesting. I recently sat down with Aisha Evans, 501 00:28:37,800 --> 00:28:40,320 Speaker 1: the CEO of Zooks on the latest studio One point 502 00:28:40,320 --> 00:28:43,360 Speaker 1: I was Zooks, of course, is the uh self driving 503 00:28:43,520 --> 00:28:47,960 Speaker 1: robo taxi company that Amazon bought for over a billion dollars. 504 00:28:47,960 --> 00:28:49,880 Speaker 1: We're gonna see a clip of that later in the show. 505 00:28:50,560 --> 00:28:53,480 Speaker 1: Ross Gerber Gerber Kawasaki. Always good to have you and 506 00:28:53,600 --> 00:28:57,000 Speaker 1: your colorful opinions here on the show. Thank you for 507 00:28:57,120 --> 00:29:11,280 Speaker 1: stopping by. We're gonna get to our crypto report in 508 00:29:11,280 --> 00:29:13,160 Speaker 1: just a moment. But Elon must speaking right now on 509 00:29:13,200 --> 00:29:16,000 Speaker 1: the Tesla ernies call, saying that the first quarter was 510 00:29:16,040 --> 00:29:19,200 Speaker 1: a record quarter on many levels, congratulating the Tesla's team 511 00:29:19,240 --> 00:29:22,240 Speaker 1: despite facing many headwinds, also giving a special shout out 512 00:29:22,240 --> 00:29:25,760 Speaker 1: to the Tesla China team at that factory in Shanghai. 513 00:29:25,800 --> 00:29:28,400 Speaker 1: He also said they're working on a new vehicle, a 514 00:29:28,400 --> 00:29:33,360 Speaker 1: dedicated robo taxi that won't have a steering wheel or pedals, 515 00:29:33,400 --> 00:29:36,520 Speaker 1: but could be a massive driver of Tesla's growth in 516 00:29:36,520 --> 00:29:39,480 Speaker 1: the future. We're continuing to monitor headlines from that column, 517 00:29:39,480 --> 00:29:42,680 Speaker 1: will bring you more as they roll in to our 518 00:29:42,720 --> 00:29:45,800 Speaker 1: crypto report. Now, I want to bring in Framework Ventures 519 00:29:45,840 --> 00:29:48,240 Speaker 1: of venture capital firm that has just raised four million 520 00:29:48,280 --> 00:29:51,400 Speaker 1: dollars for a fun focused on investing in early stage 521 00:29:51,440 --> 00:29:55,080 Speaker 1: crypto startups from gaming and Web three to defy. Cofident 522 00:29:55,120 --> 00:29:58,520 Speaker 1: founder Michael Anderson joins me now. Michael talked to us 523 00:29:58,520 --> 00:30:02,240 Speaker 1: about the advantages of being a Web three native venture 524 00:30:02,280 --> 00:30:08,360 Speaker 1: capital firm and competing in an industry where most venture capitalists, uh, 525 00:30:08,400 --> 00:30:10,680 Speaker 1: you know, go about their business in more traditional ways 526 00:30:10,680 --> 00:30:14,000 Speaker 1: that they've been doing for decades. Yeah, it's it's a 527 00:30:14,040 --> 00:30:15,920 Speaker 1: great point and a great question. You know. One of 528 00:30:15,960 --> 00:30:18,880 Speaker 1: the things that really I think separates us from traditional 529 00:30:18,960 --> 00:30:22,760 Speaker 1: venture investors, especially investors in the web free space as well, 530 00:30:23,040 --> 00:30:25,360 Speaker 1: is that we actually have more engineers on the team 531 00:30:25,360 --> 00:30:28,800 Speaker 1: than we have venture investors. When we make an investment, 532 00:30:28,880 --> 00:30:33,120 Speaker 1: we're participating by building alongside the investor, alongside the investments 533 00:30:33,120 --> 00:30:35,600 Speaker 1: that we make, and partnering at a really deep level 534 00:30:35,680 --> 00:30:38,880 Speaker 1: to the founding teams that we're backing. And because of this, 535 00:30:39,040 --> 00:30:41,440 Speaker 1: you know, we we've been able to really help dictate 536 00:30:41,480 --> 00:30:44,080 Speaker 1: success of the investments that we make and really help 537 00:30:44,240 --> 00:30:47,480 Speaker 1: understand where where things are going from new opportunities before 538 00:30:47,480 --> 00:30:50,320 Speaker 1: they rise and before anybody else you notice them. So 539 00:30:50,400 --> 00:30:53,520 Speaker 1: what are those opportunities? You've just announced a four hundred 540 00:30:53,560 --> 00:30:56,400 Speaker 1: million dollar fund to invest in new blockchain startups. You've 541 00:30:56,440 --> 00:30:59,800 Speaker 1: got all kinds of money, including the traditional money chasing 542 00:31:00,040 --> 00:31:03,280 Speaker 1: the startups. You know, what do you believe is out 543 00:31:03,320 --> 00:31:07,400 Speaker 1: there that's unique that they're not going to see? Yeah, 544 00:31:07,440 --> 00:31:10,120 Speaker 1: So when we started Framework with our first fund in ten, 545 00:31:10,280 --> 00:31:12,280 Speaker 1: we were really I think one of the first firms 546 00:31:12,320 --> 00:31:14,920 Speaker 1: to go bet the farm on DeFi and and DeFi 547 00:31:15,040 --> 00:31:18,800 Speaker 1: has become commonplace at this point, it's really the poor 548 00:31:18,840 --> 00:31:21,520 Speaker 1: area of engagement for most of the applications that are 549 00:31:21,520 --> 00:31:24,640 Speaker 1: being developed on top of Web three currently. And what 550 00:31:24,720 --> 00:31:27,160 Speaker 1: we see now and especially with this new fund, is 551 00:31:27,200 --> 00:31:30,600 Speaker 1: that blockchain based gaming and and what we see is 552 00:31:30,640 --> 00:31:33,120 Speaker 1: the potential for blockchain based gaming into the next couple 553 00:31:33,160 --> 00:31:35,200 Speaker 1: of years is really the same opportunity that we saw 554 00:31:35,240 --> 00:31:38,800 Speaker 1: with Defied twenty nineteen. It's really a unique opportunity to 555 00:31:38,800 --> 00:31:41,800 Speaker 1: to get these these game developers that have been developing 556 00:31:41,840 --> 00:31:45,240 Speaker 1: on consoles, on on PCs, on mobile for the last 557 00:31:45,280 --> 00:31:47,600 Speaker 1: ten twenty years and and build on a new form 558 00:31:47,640 --> 00:31:50,920 Speaker 1: factor which has advantages that just aren't aren't possible in 559 00:31:50,920 --> 00:31:53,880 Speaker 1: the ecosystems that they're used to today. All Right, well, 560 00:31:53,880 --> 00:31:55,640 Speaker 1: we'll be watching to see where you make your next move. 561 00:31:55,680 --> 00:31:58,880 Speaker 1: Framework Ventures co founder Michael Anderson, thanks for joining us 562 00:32:08,040 --> 00:32:10,560 Speaker 1: as we continue to monit our Tesla results. I spoke 563 00:32:10,600 --> 00:32:14,400 Speaker 1: exclusively with Zooks CEO Aisha Evans, the autonomous driving company 564 00:32:14,440 --> 00:32:17,720 Speaker 1: recently bought by Amazon for over a billion dollars this 565 00:32:17,880 --> 00:32:19,680 Speaker 1: and the latest edition of Bloomberg Studio. At one point 566 00:32:19,720 --> 00:32:22,320 Speaker 1: out we talked about what it takes to turn a 567 00:32:22,360 --> 00:32:28,680 Speaker 1: startup into a global ride hailing giant, including competing with Tesla. 568 00:32:29,360 --> 00:32:32,640 Speaker 1: M this is Silicon Valley. We are, you know, pay 569 00:32:32,720 --> 00:32:36,120 Speaker 1: tribute to disruptors. Having said that, we're not exactly in 570 00:32:36,120 --> 00:32:38,960 Speaker 1: the same business. We don't sell a car to people. 571 00:32:39,120 --> 00:32:42,120 Speaker 1: We sell a right to people. Our customers are not drivers, 572 00:32:42,240 --> 00:32:44,880 Speaker 1: they are writers, and therefore we use the same types 573 00:32:44,920 --> 00:32:47,840 Speaker 1: of technologies. But they are in the car selling business. 574 00:32:48,160 --> 00:32:53,920 Speaker 1: So how does Zooks fit into the future of Amazon, Well, 575 00:32:53,960 --> 00:32:56,520 Speaker 1: that story is yet to be written. First of all, 576 00:32:56,600 --> 00:32:59,440 Speaker 1: we are we hope to deliver on the promise of 577 00:32:59,640 --> 00:33:03,240 Speaker 1: a new segment and uh sort of a big business 578 00:33:03,600 --> 00:33:06,560 Speaker 1: uh and be one of those in the tradition of 579 00:33:06,560 --> 00:33:09,920 Speaker 1: of Amazon. We know there's a world of possibilities, but 580 00:33:10,080 --> 00:33:12,280 Speaker 1: I tell everybody we first have to earn it right 581 00:33:12,480 --> 00:33:16,520 Speaker 1: before we talk about a sort of synergies and possibilities 582 00:33:16,560 --> 00:33:20,080 Speaker 1: and opportunities together. Zero times anything is still zero and 583 00:33:20,160 --> 00:33:22,240 Speaker 1: it will be for a long time. So we're focusing 584 00:33:22,240 --> 00:33:25,640 Speaker 1: on building our business, getting to market, and then there's 585 00:33:25,640 --> 00:33:28,120 Speaker 1: a myriad of possibilities of things we could do together. 586 00:33:28,360 --> 00:33:30,440 Speaker 1: Zoo is going to be dropping off my boxss. Is 587 00:33:30,480 --> 00:33:33,760 Speaker 1: that what I should expect potentially, if that's the right 588 00:33:33,800 --> 00:33:35,640 Speaker 1: thing to do and if it makes sense to do so. 589 00:33:35,720 --> 00:33:37,280 Speaker 1: But first we're going to make sure to take you 590 00:33:37,360 --> 00:33:40,440 Speaker 1: everywhere you need to go without having to worry about parking, 591 00:33:40,960 --> 00:33:43,560 Speaker 1: having a car, and so on. What's it like having 592 00:33:43,600 --> 00:33:47,160 Speaker 1: Amazon as your boss? It's been good put an independent 593 00:33:47,800 --> 00:33:51,760 Speaker 1: subsidiary of of Amazon. So yes, they are involved. We 594 00:33:51,840 --> 00:33:54,120 Speaker 1: agree on what's going to happen, why it's gonna happen. 595 00:33:54,240 --> 00:33:56,240 Speaker 1: How often did you talk to Jeff Bezos or do 596 00:33:56,320 --> 00:34:01,240 Speaker 1: you talk to Andy Jasse or maybe it's Dave limp Um. 597 00:34:01,360 --> 00:34:03,840 Speaker 1: I don't talk to them that often. I mean, we 598 00:34:03,960 --> 00:34:07,240 Speaker 1: have a monthly business for you or quality business with you, 599 00:34:07,600 --> 00:34:09,640 Speaker 1: but no, it's not like I'm besties with them and 600 00:34:09,680 --> 00:34:12,440 Speaker 1: we're on the phone and wrapping and chatting. Now, well, 601 00:34:12,560 --> 00:34:15,640 Speaker 1: you must know what their expectations are. What is Amazon 602 00:34:15,719 --> 00:34:20,120 Speaker 1: expecting of zoos execute get to market scale, and do 603 00:34:20,160 --> 00:34:23,880 Speaker 1: you have the funding to do that? GM? Google very 604 00:34:23,920 --> 00:34:27,560 Speaker 1: well funded competitors or fellow travelers. As you say, are 605 00:34:27,560 --> 00:34:29,879 Speaker 1: you getting what you need? Yes? More than what I need. 606 00:34:30,480 --> 00:34:33,919 Speaker 1: I'm funding is not something I even worry about. So 607 00:34:34,000 --> 00:34:36,480 Speaker 1: what's it like to operate in that environment where money 608 00:34:36,520 --> 00:34:39,360 Speaker 1: is not an issue? Well, I mean you have to 609 00:34:39,400 --> 00:34:41,360 Speaker 1: be careful, right, because you also don't want to be 610 00:34:41,400 --> 00:34:44,040 Speaker 1: a drunken sailor and be like, oh now I have 611 00:34:44,400 --> 00:34:47,040 Speaker 1: You still have to be a very disciplined You have 612 00:34:47,160 --> 00:34:50,160 Speaker 1: to manage the phases of the business. We're like, okay, 613 00:34:50,200 --> 00:34:52,520 Speaker 1: how do we execute? How do we make our mouth stones? 614 00:34:52,520 --> 00:34:55,720 Speaker 1: How do we get to market where things organized properly? 615 00:34:55,880 --> 00:34:59,000 Speaker 1: How do we hire? How do we retain and so 616 00:34:59,040 --> 00:35:01,600 Speaker 1: on and so forth? How do stay mission driven? The 617 00:35:01,640 --> 00:35:04,440 Speaker 1: public seems to have lost interest in waiting around for 618 00:35:04,480 --> 00:35:07,440 Speaker 1: self driving cars. I wrote in Google self Driving Car 619 00:35:07,480 --> 00:35:11,799 Speaker 1: in eleven and I'm still waiting to be able to 620 00:35:12,000 --> 00:35:15,560 Speaker 1: buy or just ride a self driving car on demand. 621 00:35:15,920 --> 00:35:18,680 Speaker 1: Why is it taking so long? I think in self driving, 622 00:35:19,160 --> 00:35:23,560 Speaker 1: first of all, the opportunity is so clear, um the 623 00:35:24,360 --> 00:35:27,920 Speaker 1: so the beach is so broad. We forget that big 624 00:35:27,960 --> 00:35:31,280 Speaker 1: things do start small. One second, it's a hard problem 625 00:35:31,280 --> 00:35:35,000 Speaker 1: to solve. We talk a lot about safety, uh and 626 00:35:35,040 --> 00:35:37,440 Speaker 1: we talked talk a lot about human error when it 627 00:35:37,480 --> 00:35:40,560 Speaker 1: comes to driving, but we also forget that collectively, at 628 00:35:40,600 --> 00:35:44,040 Speaker 1: least in the United States of America, humans collectively drive 629 00:35:44,080 --> 00:35:49,640 Speaker 1: a hundred million miles before having a fatality. That's a 630 00:35:49,680 --> 00:35:52,279 Speaker 1: lot of mouths. So humans are also pretty good. And 631 00:35:52,320 --> 00:35:55,239 Speaker 1: the thing humans are good at, which is hand I 632 00:35:55,280 --> 00:35:58,640 Speaker 1: call it exception handling. We all know how to drive. 633 00:35:59,080 --> 00:36:02,280 Speaker 1: If you are all fully autonomous, would be deployed already. 634 00:36:02,280 --> 00:36:04,719 Speaker 1: But we're driving amongst human and you have to deal 635 00:36:04,760 --> 00:36:07,600 Speaker 1: with so many little scenarios. There are so many things 636 00:36:07,680 --> 00:36:11,600 Speaker 1: that you've been learning about driving since births and codifying 637 00:36:11,680 --> 00:36:15,400 Speaker 1: that using AI sensors and computers is turning out to 638 00:36:15,400 --> 00:36:19,040 Speaker 1: be a lot harder. You can catch much more of 639 00:36:19,040 --> 00:36:21,640 Speaker 1: my conversation with Zooks CEO. I saw Evans tonight nine 640 00:36:22,000 --> 00:36:25,040 Speaker 1: Eastern on Bloomberg Television. The question could as Zooks be 641 00:36:25,160 --> 00:36:28,680 Speaker 1: delivering my Amazon packages one day? All that and more 642 00:36:28,719 --> 00:36:31,480 Speaker 1: on this edition of Bloomberg Studio One point. Now, I 643 00:36:31,480 --> 00:36:33,240 Speaker 1: want to get back to the latest on Tesla's earnings 644 00:36:33,280 --> 00:36:35,040 Speaker 1: call Now and bring Back are at Ludlow. And it's 645 00:36:35,120 --> 00:36:38,520 Speaker 1: very interesting since Ela must just just just described what 646 00:36:38,640 --> 00:36:41,200 Speaker 1: sounds a lot like a Zooks saying that Tesla is 647 00:36:41,239 --> 00:36:44,400 Speaker 1: working on a robotax seat with no steering wheel, no pedals, 648 00:36:44,760 --> 00:36:48,080 Speaker 1: neither of which Zooks have. This is a purpose built ROBOTAXI. 649 00:36:48,239 --> 00:36:51,680 Speaker 1: Testa is working on mass production by four. He's had 650 00:36:51,719 --> 00:36:53,920 Speaker 1: some criticism on the cool as well, some questions of 651 00:36:54,000 --> 00:36:58,640 Speaker 1: criticism about overpromising on full self driving, but this purpose 652 00:36:58,680 --> 00:37:01,440 Speaker 1: built car seem the big takeaway, and he says this 653 00:37:01,480 --> 00:37:04,800 Speaker 1: is going to drive massive growth by I mean, Ellen 654 00:37:04,880 --> 00:37:08,520 Speaker 1: has made bold predictions about timelines before and he's got 655 00:37:08,520 --> 00:37:10,239 Speaker 1: them wrong. I think you know this is happening in 656 00:37:10,239 --> 00:37:14,000 Speaker 1: parallel with other stuff. So Cybertruck goes into mass PRODUCTIONE. 657 00:37:14,320 --> 00:37:17,799 Speaker 1: They're continuing FSD beta and Elon musk message was, if 658 00:37:17,800 --> 00:37:20,320 Speaker 1: you're a Testa owner, try FD beta, but the future 659 00:37:20,640 --> 00:37:23,200 Speaker 1: is fleet based, you don't own your own vehicle. Sounds 660 00:37:23,239 --> 00:37:25,839 Speaker 1: a lot like zoos. So the thing we haven't heard 661 00:37:25,920 --> 00:37:29,279 Speaker 1: yet is anything about four joining or Twitter on the car. Yeah, right, 662 00:37:29,800 --> 00:37:32,719 Speaker 1: the only kind of curious thing. Musk didn't start the call. 663 00:37:32,840 --> 00:37:36,719 Speaker 1: Cfo zat kirkwn did and then Musk made made very deliberate, 664 00:37:37,040 --> 00:37:40,200 Speaker 1: prepared remarks, which is kind of not very Musk like. 665 00:37:40,360 --> 00:37:42,440 Speaker 1: So he didn't go off script. He didn't go off 666 00:37:42,440 --> 00:37:45,440 Speaker 1: script yet, better run back to my desk, right, So 667 00:37:45,880 --> 00:37:48,040 Speaker 1: it's kind of how long there's a car go on for? 668 00:37:48,080 --> 00:37:50,160 Speaker 1: It's about an hour, right, He's going to take questions 669 00:37:50,160 --> 00:37:55,080 Speaker 1: from institutional investors, detail investors, from analysts. That's where the riffing, 670 00:37:55,160 --> 00:37:58,480 Speaker 1: and somebody has got to ask what's going on with 671 00:37:58,520 --> 00:38:00,799 Speaker 1: your Twitter bit? Elon Musk, They've got, so I hope 672 00:38:00,840 --> 00:38:02,919 Speaker 1: that will manage for Tesla investors. I mean, we've seen 673 00:38:02,960 --> 00:38:06,280 Speaker 1: shares take a leg down since all of this drama 674 00:38:06,320 --> 00:38:08,720 Speaker 1: started to unfold. And certainly if you're a Tesla investor, 675 00:38:08,760 --> 00:38:11,239 Speaker 1: maybe maybe you don't want Elon mustard by Twitter and 676 00:38:11,280 --> 00:38:14,080 Speaker 1: he's a busy guy. Is he distracted? That's another question, 677 00:38:14,120 --> 00:38:16,640 Speaker 1: like how can he run all these companies and trying 678 00:38:16,680 --> 00:38:19,799 Speaker 1: by Twitter? Well, multitasking is certainly nothing new to Elon Musk, 679 00:38:19,880 --> 00:38:22,040 Speaker 1: so there's certainly an argument to be made there. But 680 00:38:22,120 --> 00:38:23,719 Speaker 1: we will be listening in for all the headlines, So 681 00:38:23,760 --> 00:38:26,440 Speaker 1: stay tuned to Bloomberg Television for much more at Ludlow. 682 00:38:26,800 --> 00:38:29,840 Speaker 1: Thank you that does it for this edition of Bloomberg 683 00:38:29,880 --> 00:38:30,600 Speaker 1: Technology