1 00:00:01,440 --> 00:00:06,720 Speaker 1: From Mahard where Innovation, Money and Power Collie in Silicon Valley, NBN. 2 00:00:07,080 --> 00:00:11,120 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 3 00:00:24,400 --> 00:00:26,600 Speaker 2: I'm Caroline Heinde Bluemerg's world headquarters in New York. 4 00:00:26,720 --> 00:00:29,080 Speaker 3: Ed Ludlow, He's off. This is bluemog Technology. 5 00:00:29,240 --> 00:00:32,519 Speaker 2: Coming up Google, It unveils a host of updates to 6 00:00:32,600 --> 00:00:35,960 Speaker 2: its AI products to show its offerings are enterprise ready. 7 00:00:36,320 --> 00:00:38,640 Speaker 2: Or break down what came from the company's annual cloud 8 00:00:38,680 --> 00:00:42,760 Speaker 2: computing conference. Plus Tesla maybe headed for another sales decline 9 00:00:42,800 --> 00:00:45,320 Speaker 2: back to back as according to some analysts on the street. 10 00:00:45,600 --> 00:00:46,720 Speaker 3: Or break down the outlook and. 11 00:00:46,720 --> 00:00:51,000 Speaker 2: Here from the former CEO of Tesla and GM's cruise. Well, 12 00:00:51,000 --> 00:00:54,000 Speaker 2: it resumes Robotaxi testing over in Phoenix after grounding its 13 00:00:54,000 --> 00:00:56,360 Speaker 2: fleet last year. We'll discuss that and so much more 14 00:00:56,360 --> 00:00:58,800 Speaker 2: coming up throughout this hour. But trading off by four 15 00:00:58,840 --> 00:01:01,360 Speaker 2: tens percent on Bow, of course, maker of the seven 16 00:01:01,400 --> 00:01:05,360 Speaker 2: three seven Max besieged with issues a near attack catastrophic 17 00:01:05,400 --> 00:01:06,760 Speaker 2: incident earlier in January. 18 00:01:07,000 --> 00:01:08,720 Speaker 3: January, of course, now. 19 00:01:08,600 --> 00:01:11,240 Speaker 2: This is as we see the first quarter of sales 20 00:01:11,240 --> 00:01:13,480 Speaker 2: for Boeing be what we think is the worst that 21 00:01:13,480 --> 00:01:16,080 Speaker 2: we've seen all the way back to twenty twenty one 22 00:01:16,200 --> 00:01:18,560 Speaker 2: people really seeing a slowing in production as well of 23 00:01:18,560 --> 00:01:21,240 Speaker 2: seventy three seven maxes. Why because they need to make 24 00:01:21,280 --> 00:01:23,600 Speaker 2: sure that the supply chain is ready, that they're managing 25 00:01:23,800 --> 00:01:25,919 Speaker 2: to ensure that everything is safety first. 26 00:01:26,200 --> 00:01:26,720 Speaker 3: For Boeing. 27 00:01:26,760 --> 00:01:29,200 Speaker 2: More broadly, let's just dig into this story because it 28 00:01:29,200 --> 00:01:31,960 Speaker 2: does have this technology element to it. Bloomberg opinion columnist 29 00:01:32,000 --> 00:01:33,880 Speaker 2: Brooks Southerland is with us, I'm pleased to say, and 30 00:01:34,280 --> 00:01:34,959 Speaker 2: let's just get to. 31 00:01:34,920 --> 00:01:37,800 Speaker 3: This breaking news. And the deliveries from Boeing. They're poor. 32 00:01:37,920 --> 00:01:40,520 Speaker 3: We probably expected it, we. 33 00:01:40,480 --> 00:01:44,080 Speaker 4: Did, and I mean again, it's sort of a good story, 34 00:01:44,120 --> 00:01:46,520 Speaker 4: bad story Boeing for Boeing here, and I mean, of course, 35 00:01:46,560 --> 00:01:48,400 Speaker 4: the delivery numbers are not what they want them to be, 36 00:01:48,480 --> 00:01:50,440 Speaker 4: not what their customers want them to be. But this 37 00:01:50,560 --> 00:01:53,400 Speaker 4: is the result of the company really taking the time 38 00:01:53,480 --> 00:01:56,000 Speaker 4: to hopefully get to the bottom of its quality control 39 00:01:56,040 --> 00:01:59,320 Speaker 4: issues here. And remember, the FAA has capped Boeing's production 40 00:01:59,400 --> 00:02:03,000 Speaker 4: rate at AB thirty eight seven thirty seven jets per month. 41 00:02:03,080 --> 00:02:05,720 Speaker 4: Now they are nowhere near that pace right now, and 42 00:02:05,720 --> 00:02:08,520 Speaker 4: it's going to slip even further because they're really trying 43 00:02:08,560 --> 00:02:11,240 Speaker 4: to dial back on this concept of traveled work, and 44 00:02:11,240 --> 00:02:14,160 Speaker 4: what that means is putting a priority on moving that 45 00:02:14,200 --> 00:02:16,600 Speaker 4: plane through the production process, even if you don't have 46 00:02:16,680 --> 00:02:19,280 Speaker 4: all the parts, even if the quality control isn't where 47 00:02:19,280 --> 00:02:21,679 Speaker 4: it should be. Boeing is moving away from that. They're 48 00:02:21,680 --> 00:02:24,560 Speaker 4: taking a step back and really trying to drill into 49 00:02:24,760 --> 00:02:27,239 Speaker 4: safety and their engineering processes. Now that is a good 50 00:02:27,240 --> 00:02:29,680 Speaker 4: thing in the long run, but certainly not going to 51 00:02:29,800 --> 00:02:31,560 Speaker 4: show up in their delivery numbers right here in the 52 00:02:31,560 --> 00:02:32,040 Speaker 4: short term. 53 00:02:32,080 --> 00:02:35,000 Speaker 2: And let's just reaffirm what the delivery numbers are, because 54 00:02:35,000 --> 00:02:37,560 Speaker 2: it's eighty three jets were delivered in the first quarter 55 00:02:37,800 --> 00:02:40,760 Speaker 2: Lowes since the second quarter of twenty twenty one. Interestingly, 56 00:02:41,000 --> 00:02:44,560 Speaker 2: twenty nine jets in March were sold. 57 00:02:44,320 --> 00:02:46,360 Speaker 3: And that's twenty four to seven three seven Maxes. 58 00:02:46,400 --> 00:02:48,680 Speaker 5: It clearly just shows the importance of. 59 00:02:48,600 --> 00:02:49,720 Speaker 3: This particular model. 60 00:02:49,760 --> 00:02:52,040 Speaker 2: And I'm noting that they were booking one hundred and 61 00:02:52,080 --> 00:02:56,120 Speaker 2: thirteen gross orders in March and only two cancelations. Is 62 00:02:56,120 --> 00:02:58,560 Speaker 2: any of this really putting off demand for the seven 63 00:02:58,600 --> 00:02:59,720 Speaker 2: three seven max. 64 00:03:00,560 --> 00:03:03,880 Speaker 4: I don't think that it is overall, because you have 65 00:03:03,919 --> 00:03:07,400 Speaker 4: a duopoly in aircraft manufacturing and airbus is sold out 66 00:03:07,400 --> 00:03:10,280 Speaker 4: of its marquee narrowbody jet model into the twenty thirty. 67 00:03:10,360 --> 00:03:12,880 Speaker 4: So if you were an airline and you need planes, 68 00:03:12,919 --> 00:03:15,519 Speaker 4: you really only have one option in the short term, 69 00:03:15,520 --> 00:03:17,880 Speaker 4: and that is Boeing. And I think that, to your point, 70 00:03:17,960 --> 00:03:20,640 Speaker 4: shows just how important this airplane is and how important 71 00:03:20,639 --> 00:03:22,919 Speaker 4: it is that Boeing ultimately gets this right and gets 72 00:03:22,960 --> 00:03:25,120 Speaker 4: to the bottom of what their quality control issues are. 73 00:03:25,160 --> 00:03:28,080 Speaker 4: Now they are losing market share to Airbus. The Airbus 74 00:03:28,080 --> 00:03:30,400 Speaker 4: has been able to pull ahead specifically in that narrow 75 00:03:30,639 --> 00:03:33,960 Speaker 4: body jet market. They are winning more orders, but you're 76 00:03:34,000 --> 00:03:36,360 Speaker 4: certainly not seeing demand fall off a cliff for Boeing, 77 00:03:36,560 --> 00:03:38,920 Speaker 4: and I think that does provide some support but also 78 00:03:38,960 --> 00:03:41,800 Speaker 4: some encouragement for the company to just try to figure 79 00:03:41,840 --> 00:03:43,880 Speaker 4: this out and get the customers the jets that they 80 00:03:43,960 --> 00:03:46,760 Speaker 4: want to buy. They want to fly from Boeing. 81 00:03:47,000 --> 00:03:50,040 Speaker 2: And let's just dig into Airbus because we're anticipating deliveries there. 82 00:03:50,040 --> 00:03:51,880 Speaker 2: In fact, it was under pressure more than the rest 83 00:03:51,880 --> 00:03:53,720 Speaker 2: of the French benchmark earlier today. 84 00:03:54,280 --> 00:03:55,760 Speaker 3: What are we seeing in terms. 85 00:03:55,480 --> 00:03:59,720 Speaker 2: Of ultimate economic hit sentiment heading both Airbus and Boeing, 86 00:04:00,040 --> 00:04:01,480 Speaker 2: And there's are any sort of tech angles we can 87 00:04:01,520 --> 00:04:02,080 Speaker 2: weave in here. 88 00:04:03,600 --> 00:04:06,160 Speaker 4: I mean, I think air travel demand has held up 89 00:04:06,440 --> 00:04:09,400 Speaker 4: pretty well. I mean, even in this inflationary environment, you're 90 00:04:09,440 --> 00:04:13,080 Speaker 4: still seeing strong demand for air travel. And you know, 91 00:04:13,160 --> 00:04:17,039 Speaker 4: really both going and airbus have a demand problem or sorry, 92 00:04:17,040 --> 00:04:18,600 Speaker 4: I have a supply problem at the end of the day, 93 00:04:18,640 --> 00:04:21,760 Speaker 4: not a demand problem. And you know the onus is 94 00:04:21,839 --> 00:04:23,919 Speaker 4: on them to be able to churn out these airplanes 95 00:04:24,160 --> 00:04:25,279 Speaker 4: and give them to customers. 96 00:04:26,160 --> 00:04:29,000 Speaker 2: Love having you on Bloomberg opinion columnists Brook Sutherland jumping 97 00:04:29,040 --> 00:04:31,480 Speaker 2: on the latest delivery numbers. Let's get back to our 98 00:04:31,520 --> 00:04:34,080 Speaker 2: bread and butter right now, though, because Google is having 99 00:04:34,120 --> 00:04:36,479 Speaker 2: a big event surrounding cloud. It's in fact, I'm bailing 100 00:04:36,520 --> 00:04:40,400 Speaker 2: a host of updates around its artificial intelligence offerings today 101 00:04:40,560 --> 00:04:42,760 Speaker 2: and it's really trying to show how this technology is 102 00:04:43,240 --> 00:04:47,640 Speaker 2: enterprise ready after well some pretty obvious mishaps earlier this 103 00:04:47,720 --> 00:04:49,520 Speaker 2: year when it came to consumer use. 104 00:04:49,839 --> 00:04:51,520 Speaker 3: That's bringing in Bloomberg's Davy. 105 00:04:51,279 --> 00:04:53,560 Speaker 2: Albert and really Google's trying to shake off what has 106 00:04:53,600 --> 00:04:55,440 Speaker 2: been happening earlier in the year when it comes to 107 00:04:55,600 --> 00:04:58,920 Speaker 2: Gemini application across particularly image generation. 108 00:04:59,320 --> 00:05:02,000 Speaker 5: How fit for purpose is it from an enterprise perspective? 109 00:05:03,440 --> 00:05:08,520 Speaker 6: Yeah, Hi, happy to be here. Google is really framing 110 00:05:08,720 --> 00:05:13,920 Speaker 6: these announcements as this is cloud's moment and enterprise, and 111 00:05:14,480 --> 00:05:18,440 Speaker 6: it says that the same risks that were around for 112 00:05:18,520 --> 00:05:24,360 Speaker 6: the consumer product are not really there for enterprise customers 113 00:05:24,520 --> 00:05:28,960 Speaker 6: because marketers, you know, client cloud clients have a lot 114 00:05:29,000 --> 00:05:32,680 Speaker 6: more controls over the outputs. Google has said that it 115 00:05:32,800 --> 00:05:37,159 Speaker 6: is providing up to like nineteen fine tuned controls for 116 00:05:38,160 --> 00:05:42,640 Speaker 6: people who use its enterprise enterprise platform, and so with 117 00:05:42,760 --> 00:05:45,800 Speaker 6: that level of control, you can kind of make sure 118 00:05:45,960 --> 00:05:49,240 Speaker 6: that the images and outputs that the AI is generating 119 00:05:49,560 --> 00:05:52,240 Speaker 6: aligns with your brand's image. 120 00:05:52,760 --> 00:05:53,440 Speaker 3: It's really interesting. 121 00:05:53,440 --> 00:05:55,920 Speaker 2: Earlier today we were looking at how best buys integrate, 122 00:05:56,279 --> 00:05:58,159 Speaker 2: integrating AI generator AI. 123 00:05:58,320 --> 00:05:59,600 Speaker 3: Google a partner for them. 124 00:06:00,120 --> 00:06:03,200 Speaker 2: Who are the kind of businesses who are adopting Google 125 00:06:03,400 --> 00:06:05,760 Speaker 2: using Google Cloud as well to ensure that they got 126 00:06:05,800 --> 00:06:08,720 Speaker 2: the compute power to be building generative AI systems themselves. 127 00:06:10,279 --> 00:06:14,320 Speaker 6: It's a lot of startups actually AI generative AI startups 128 00:06:14,360 --> 00:06:18,279 Speaker 6: in particular. One bit of news that came out today 129 00:06:18,560 --> 00:06:22,760 Speaker 6: is that Google is continuing to sign up these kinds 130 00:06:22,800 --> 00:06:27,760 Speaker 6: of customers for its cloud platform. So last year in August, 131 00:06:28,400 --> 00:06:32,400 Speaker 6: Google said that it had signed up up to seventy 132 00:06:32,440 --> 00:06:37,640 Speaker 6: percent of AI unicorns, and today they're saying that that 133 00:06:37,680 --> 00:06:40,799 Speaker 6: figure is up to ninety percent of all generative AI 134 00:06:40,920 --> 00:06:43,680 Speaker 6: unicorns are using its cloud computing services. 135 00:06:43,720 --> 00:06:47,320 Speaker 2: Now interesting that they're really focusing on that particular area. 136 00:06:47,360 --> 00:06:50,839 Speaker 3: I'm also just want to know how good it is, Davy. 137 00:06:51,040 --> 00:06:54,040 Speaker 2: I mean, this has been the perennial issue many have felt, 138 00:06:54,360 --> 00:06:57,440 Speaker 2: even though they were at the very well iterations of 139 00:06:57,520 --> 00:06:59,800 Speaker 2: generative AIS because of the work and the R and 140 00:06:59,839 --> 00:07:01,800 Speaker 2: D that Google did that got us to where we 141 00:07:01,839 --> 00:07:05,920 Speaker 2: are today, but they've lost market share and mind share 142 00:07:06,040 --> 00:07:07,960 Speaker 2: really to the likes of open AI. 143 00:07:08,800 --> 00:07:09,720 Speaker 3: Yeah. Absolutely. 144 00:07:10,520 --> 00:07:12,640 Speaker 6: Google says that there are a couple of things that 145 00:07:12,760 --> 00:07:17,720 Speaker 6: differentiates itself from the competition. So one thing that is 146 00:07:17,840 --> 00:07:21,600 Speaker 6: pretty unique to them is that they have Gemini one 147 00:07:21,640 --> 00:07:25,240 Speaker 6: point five pro that is underlying a lot of these 148 00:07:25,440 --> 00:07:30,800 Speaker 6: AI offerings for enterprise, and that model has the longest 149 00:07:30,840 --> 00:07:34,920 Speaker 6: context window. Google says of any AI model. It can 150 00:07:34,960 --> 00:07:37,800 Speaker 6: process up to one million tokens at a time, which 151 00:07:37,920 --> 00:07:41,320 Speaker 6: you know, tokens are essentially like words or pieces of words, 152 00:07:41,920 --> 00:07:49,120 Speaker 6: and that means that marketers can upload audio files, photos, images, videos, 153 00:07:50,560 --> 00:07:54,080 Speaker 6: potentially thousands of them, and that will be the basis 154 00:07:54,080 --> 00:07:57,840 Speaker 6: from which the AI generates new content. Another thing that 155 00:07:57,880 --> 00:08:01,400 Speaker 6: Google says is unique to them is that they are 156 00:08:01,440 --> 00:08:07,320 Speaker 6: more open compared to other cloud computing platforms. And you know, 157 00:08:07,680 --> 00:08:11,240 Speaker 6: Thomas Currian, who we spoke to ahead of the announcements today, 158 00:08:11,840 --> 00:08:15,520 Speaker 6: didn't name any specific competitors, but that seemed to be 159 00:08:16,200 --> 00:08:19,160 Speaker 6: referring to open AI. And you know, one thing that 160 00:08:19,240 --> 00:08:24,200 Speaker 6: he emphasized was Google Cloud wants enterprise customers to be 161 00:08:24,240 --> 00:08:27,760 Speaker 6: able to choose a platform, not an AI model. So 162 00:08:28,000 --> 00:08:32,200 Speaker 6: within its platform, it actually makes available a bunch of 163 00:08:32,200 --> 00:08:37,160 Speaker 6: different models, including anthropics and metas, and developers can pick 164 00:08:37,160 --> 00:08:39,200 Speaker 6: and choose what AI models they want to use. 165 00:08:39,640 --> 00:08:41,559 Speaker 2: A lot of this all comes back to chips, Davey, 166 00:08:41,800 --> 00:08:44,240 Speaker 2: and it looks as though Google is focusing more on 167 00:08:44,280 --> 00:08:46,920 Speaker 2: in house chips. It's notable that in videos down on 168 00:08:46,960 --> 00:08:49,360 Speaker 2: the day, it's notable that Boomberg Intelligence is saying, look, 169 00:08:49,440 --> 00:08:54,080 Speaker 2: there's a deepening relationship between Broadcom and Alphabet. What do 170 00:08:54,080 --> 00:08:55,040 Speaker 2: you make of the chip move. 171 00:08:56,400 --> 00:09:00,520 Speaker 6: Yeah, Google has long been working on its own chips, 172 00:09:01,120 --> 00:09:05,960 Speaker 6: but you know, especially with the demand increasing for AI 173 00:09:06,440 --> 00:09:10,240 Speaker 6: computing power, this is something that they can kind of 174 00:09:10,280 --> 00:09:14,360 Speaker 6: bring get their experience, bring it to bear on this effort. 175 00:09:14,960 --> 00:09:18,319 Speaker 6: So one of the announcements today was that Google was 176 00:09:18,559 --> 00:09:23,040 Speaker 6: rolling out its own advanced chips and hopefully that will 177 00:09:23,240 --> 00:09:27,319 Speaker 6: help it to compete with the likes of Nvidia and 178 00:09:27,440 --> 00:09:32,559 Speaker 6: other chip makers. Google's cloud strategy and it's AI strategy 179 00:09:32,600 --> 00:09:36,120 Speaker 6: on the whole appears to be let's have our fingers 180 00:09:36,160 --> 00:09:40,120 Speaker 6: in kind of every pot and keep pushing the ball 181 00:09:40,240 --> 00:09:43,600 Speaker 6: forward on AI to make sure that we remain relevant 182 00:09:43,640 --> 00:09:46,120 Speaker 6: after having laid the groundwork for a lot of the 183 00:09:46,120 --> 00:09:50,199 Speaker 6: AI innovations that we see today that are being used 184 00:09:50,240 --> 00:09:53,000 Speaker 6: across all sorts of companies, including Open AI. 185 00:09:53,520 --> 00:09:56,400 Speaker 2: Well, the event continues on the other side of America. 186 00:09:56,480 --> 00:09:58,600 Speaker 2: David Albert, We thank you so much for bringing us 187 00:09:58,679 --> 00:10:01,199 Speaker 2: all the latest coming out of it key cloud event 188 00:10:01,320 --> 00:10:04,640 Speaker 2: for Google I. Meanwhile, coming up, Tesla's former CEO and 189 00:10:04,679 --> 00:10:05,640 Speaker 2: co founder. 190 00:10:05,320 --> 00:10:07,679 Speaker 3: Says it would be a shame that the EV. 191 00:10:07,600 --> 00:10:09,560 Speaker 5: Maker scraps plans for a cheaper car. 192 00:10:10,040 --> 00:10:12,240 Speaker 2: Will get his take on that and the EV transition 193 00:10:12,559 --> 00:10:34,559 Speaker 2: more broadly, that's coming up next to the Bloomberg Technology. 194 00:10:31,120 --> 00:10:31,280 Speaker 4: Now. 195 00:10:31,320 --> 00:10:34,920 Speaker 2: Tesla once upon a time had a previous CEO, Martin Everhard. 196 00:10:35,040 --> 00:10:36,920 Speaker 2: In fact, he was one of the true founders of 197 00:10:36,920 --> 00:10:40,240 Speaker 2: the company. He said Tesla should rethink its plans to 198 00:10:40,480 --> 00:10:42,760 Speaker 2: scrap the low cost electric car that seems to have 199 00:10:42,760 --> 00:10:45,400 Speaker 2: been being reported on a plate that the company needs 200 00:10:45,440 --> 00:10:47,640 Speaker 2: to focus on costs to keep it sales growing. He 201 00:10:47,720 --> 00:10:50,160 Speaker 2: sat down on Bloomberg's has I'm in in Hong Kong 202 00:10:50,320 --> 00:10:52,800 Speaker 2: and starting off on whether or not the EV transition 203 00:10:53,360 --> 00:10:54,240 Speaker 2: is actually slowing down. 204 00:10:54,320 --> 00:10:54,880 Speaker 3: Take a listen. 205 00:10:55,840 --> 00:10:58,040 Speaker 7: I don't think that's true. Maybe Tesla is slowing down, 206 00:10:58,880 --> 00:11:02,000 Speaker 7: but the whole industry has slowed down. I've noticed in 207 00:11:02,000 --> 00:11:04,079 Speaker 7: the last year or two, particularly in the US. 208 00:11:04,120 --> 00:11:10,000 Speaker 1: So yeah, And in terms of Tesla's own Brecknek growth, 209 00:11:10,280 --> 00:11:12,760 Speaker 1: is that over some sap Perhaps yeah, it's done and dusted. 210 00:11:13,960 --> 00:11:14,240 Speaker 6: I don't. 211 00:11:14,360 --> 00:11:17,880 Speaker 7: I mean, looking at one small downturn, maybe it's over. 212 00:11:18,000 --> 00:11:20,480 Speaker 7: Maybe it's not. I think in some ways it doesn't 213 00:11:20,520 --> 00:11:24,599 Speaker 7: really matter because the EV phenomenon has taken over the 214 00:11:24,720 --> 00:11:25,600 Speaker 7: entire auto industry. 215 00:11:25,640 --> 00:11:26,319 Speaker 6: Well, we'll see. 216 00:11:26,160 --> 00:11:28,920 Speaker 7: EV's coming out of China here like crazy in the 217 00:11:28,920 --> 00:11:32,800 Speaker 7: next several years. The Korean evs are amazing, and even 218 00:11:32,840 --> 00:11:35,319 Speaker 7: in the US there's many companies making EV stuff. 219 00:11:35,640 --> 00:11:37,760 Speaker 8: So the current growth pace is going to be the 220 00:11:37,800 --> 00:11:38,320 Speaker 8: new normal. 221 00:11:39,920 --> 00:11:41,719 Speaker 7: I think that eventually we're going to see all of 222 00:11:41,760 --> 00:11:44,560 Speaker 7: the cars replaced with EV's over the years, and who 223 00:11:44,559 --> 00:11:46,920 Speaker 7: the players will be. Not everybody will survive. I think 224 00:11:46,960 --> 00:11:48,280 Speaker 7: Tesla probably will. 225 00:11:48,440 --> 00:11:51,079 Speaker 1: Do you do you buy the spin that perhaps Tesla 226 00:11:51,200 --> 00:11:53,600 Speaker 1: is in between two growth waves. 227 00:11:55,160 --> 00:11:57,600 Speaker 7: Maybe that's the way to look at it. I read 228 00:11:57,640 --> 00:12:00,959 Speaker 7: recently that that Tesla has decided not to pursue their 229 00:12:00,960 --> 00:12:03,040 Speaker 7: model to the lower end car because they don't think 230 00:12:03,080 --> 00:12:05,040 Speaker 7: that they can compete with the lower end Chinese cars. 231 00:12:05,240 --> 00:12:07,080 Speaker 7: I think it's a shame. They might want to rethink that. 232 00:12:08,280 --> 00:12:11,160 Speaker 7: It seems like a better market than that gigantic truck 233 00:12:11,240 --> 00:12:11,600 Speaker 7: they make. 234 00:12:13,600 --> 00:12:15,560 Speaker 8: Why do you think Tesla is so reluctant now? 235 00:12:15,640 --> 00:12:17,120 Speaker 3: I mean, and why has it been. 236 00:12:17,040 --> 00:12:20,160 Speaker 1: So difficult and it's so slow to get to the 237 00:12:20,280 --> 00:12:22,920 Speaker 1: cheaper versions of those evs. 238 00:12:23,000 --> 00:12:24,959 Speaker 7: It's a new technology and it's difficult to drive the 239 00:12:25,000 --> 00:12:30,400 Speaker 7: technology price down. It's you know, it's the profit of 240 00:12:31,480 --> 00:12:34,720 Speaker 7: high volume. Sorry, the profit of high end luxury cars 241 00:12:34,800 --> 00:12:36,280 Speaker 7: is much higher, and it's easy to make money in 242 00:12:36,320 --> 00:12:38,439 Speaker 7: that space. But we want to move down into lower 243 00:12:38,440 --> 00:12:41,520 Speaker 7: price markets. You need to have the ability to build 244 00:12:41,559 --> 00:12:43,040 Speaker 7: at a very different level. 245 00:12:44,000 --> 00:12:47,720 Speaker 1: So where is Tesla going wrong or where should Tesla 246 00:12:47,800 --> 00:12:50,559 Speaker 1: be focusing on to get to where it needs to 247 00:12:50,600 --> 00:12:53,080 Speaker 1: get to in terms of those cheaper models. 248 00:12:53,200 --> 00:12:57,000 Speaker 7: Tesla needs to be focused on cost. Test needs to 249 00:12:57,000 --> 00:13:01,800 Speaker 7: be focused on cost instead of focusing on technology for 250 00:13:01,840 --> 00:13:02,800 Speaker 7: the sake of technology. 251 00:13:04,000 --> 00:13:06,720 Speaker 1: Does it need new talent initiatives? 252 00:13:07,760 --> 00:13:10,400 Speaker 7: Oh, I don't think so. I think they'll manage along 253 00:13:10,520 --> 00:13:10,840 Speaker 7: just fine. 254 00:13:11,840 --> 00:13:15,240 Speaker 1: In terms of Tesla's future, maybe five ten years down 255 00:13:15,280 --> 00:13:17,160 Speaker 1: the road, where do you see Tesla Because some say 256 00:13:17,160 --> 00:13:19,880 Speaker 1: that perhaps you know, it could be concentrating on EV's, 257 00:13:19,920 --> 00:13:21,520 Speaker 1: but it could be other projects as well. How do 258 00:13:21,559 --> 00:13:25,240 Speaker 1: you see Tesla in terms. 259 00:13:25,040 --> 00:13:26,160 Speaker 8: Of growth in the next far to take. 260 00:13:26,320 --> 00:13:28,600 Speaker 7: What I'd like to see is Tesla succeeding to make 261 00:13:28,640 --> 00:13:32,000 Speaker 7: evs in the foreseeable future. I'd like to see them 262 00:13:32,000 --> 00:13:34,600 Speaker 7: continue to make EV's and drive into the rest of 263 00:13:34,640 --> 00:13:37,199 Speaker 7: the market spaces they aren't occupying right now. Whether they 264 00:13:37,200 --> 00:13:38,640 Speaker 7: do that or not is not my safe. 265 00:13:40,040 --> 00:13:43,280 Speaker 8: You were with Volkswagen for quite some time, in fact 266 00:13:43,320 --> 00:13:47,120 Speaker 8: two years after you left Tesla. Yet when it comes 267 00:13:47,160 --> 00:13:50,000 Speaker 8: to the EV strategy, they've not been able to replicate 268 00:13:50,040 --> 00:13:51,120 Speaker 8: what Tesla has done. 269 00:13:51,520 --> 00:13:54,840 Speaker 7: Why is that it, let's just say innovatives dilemma. Right, 270 00:13:55,679 --> 00:13:59,040 Speaker 7: Volkswagen has been very, very successful, more successful than pretty 271 00:13:59,120 --> 00:14:02,520 Speaker 7: much any other company making gasoline and decent powered cars. 272 00:14:02,840 --> 00:14:04,680 Speaker 7: It's hard for a company like that to be pushing 273 00:14:04,679 --> 00:14:07,640 Speaker 7: a technology that suggested buyers ought to buy something other 274 00:14:07,679 --> 00:14:09,320 Speaker 7: than the cars that have been making the money for 275 00:14:09,360 --> 00:14:12,800 Speaker 7: all these years. It's hard to be the ones who 276 00:14:12,880 --> 00:14:15,240 Speaker 7: invent the technology that make your own products. Absolutely. 277 00:14:16,360 --> 00:14:19,320 Speaker 2: The former TESA CEO, Martin Eberhard there along with our 278 00:14:19,360 --> 00:14:22,160 Speaker 2: own has Linda I'm in. And now let's just come 279 00:14:22,640 --> 00:14:24,800 Speaker 2: full circle with where Tesla is at the moment and 280 00:14:24,840 --> 00:14:28,400 Speaker 2: maybe headed for in fact, perhaps vehicle sales declining in 281 00:14:28,440 --> 00:14:29,200 Speaker 2: another quarter. 282 00:14:29,320 --> 00:14:30,480 Speaker 3: So back to back drops. 283 00:14:30,560 --> 00:14:32,720 Speaker 2: After surprising investors with that drop that we saw in 284 00:14:32,800 --> 00:14:35,520 Speaker 2: the first three months of the year, it's at according 285 00:14:35,560 --> 00:14:37,200 Speaker 2: to annis such as Robert W. 286 00:14:37,320 --> 00:14:39,880 Speaker 3: Baird, lu Mergs Craig Trudell. Is here to sort of. 287 00:14:39,800 --> 00:14:42,080 Speaker 2: Sum up what is the narrative in the market. Look, 288 00:14:42,240 --> 00:14:44,240 Speaker 2: we almost front run this with the stock move the 289 00:14:44,240 --> 00:14:48,840 Speaker 2: beginning of this year. We've seen Tesla significantly underperform and 290 00:14:48,920 --> 00:14:51,600 Speaker 2: now that's starting to be born out in delivery numbers. 291 00:14:51,720 --> 00:14:54,280 Speaker 2: Who thinks that this sort of decline is going to 292 00:14:54,280 --> 00:14:54,840 Speaker 2: be continuing? 293 00:14:56,240 --> 00:14:59,760 Speaker 9: Yeah, I mean this idea that Ben Calo at Robert W. Bird, 294 00:14:59,760 --> 00:15:04,080 Speaker 9: as you mentioned, expects the second quarter to be another decline. 295 00:15:04,120 --> 00:15:06,920 Speaker 9: I think, you know, just looking at the chart we 296 00:15:06,960 --> 00:15:10,440 Speaker 9: have on the terminal with that story, it does speak 297 00:15:10,440 --> 00:15:12,480 Speaker 9: to this idea that there will be, you know, at 298 00:15:12,600 --> 00:15:14,560 Speaker 9: least in his estimation, a bit of a tick up 299 00:15:14,560 --> 00:15:17,000 Speaker 9: in terms of, you know, just from the seasonally low 300 00:15:17,040 --> 00:15:21,360 Speaker 9: first quarter. But to his point, the comparison from a 301 00:15:21,440 --> 00:15:24,080 Speaker 9: year ago is tougher. And I think, you know, as 302 00:15:24,080 --> 00:15:26,800 Speaker 9: you mentioned just earlier this year, you know, the stock 303 00:15:26,920 --> 00:15:31,360 Speaker 9: was underperforming because we kept hearing analysts after analysts, you know, 304 00:15:31,440 --> 00:15:34,040 Speaker 9: talk about this idea that the outlook for sales, you know, 305 00:15:34,400 --> 00:15:36,720 Speaker 9: wasn't that great, and then you know, lo and behold, 306 00:15:36,800 --> 00:15:40,520 Speaker 9: the company comes in way below analysts expectations. I think 307 00:15:40,560 --> 00:15:44,360 Speaker 9: this really sort of leads people to second guests, you know, 308 00:15:44,360 --> 00:15:47,160 Speaker 9: their assumptions for this company through the rest of the year. 309 00:15:48,360 --> 00:15:50,360 Speaker 3: Let's just talk a little. This is a great street wrap. 310 00:15:50,360 --> 00:15:53,760 Speaker 2: Bringing back does a wonderful job of summarizing what all 311 00:15:53,760 --> 00:15:56,120 Speaker 2: the anists out there are saying, and many have been 312 00:15:56,160 --> 00:15:59,760 Speaker 2: wanting to talk about this robotaxi focus versus perhaps the 313 00:15:59,800 --> 00:16:02,840 Speaker 2: coln of no longer having a model to a cheap car. 314 00:16:03,080 --> 00:16:04,640 Speaker 2: What do you make of some of the views on 315 00:16:04,640 --> 00:16:07,000 Speaker 2: the ROBOTAXI. 316 00:16:06,840 --> 00:16:09,560 Speaker 9: I think their skepticism is sort of borne out just 317 00:16:09,600 --> 00:16:13,520 Speaker 9: from the year after year a pattern of Musk talking 318 00:16:13,600 --> 00:16:15,920 Speaker 9: about robotaxis being just around the corner. 319 00:16:16,600 --> 00:16:16,760 Speaker 5: You know. 320 00:16:16,800 --> 00:16:18,960 Speaker 9: I think we're actually coming up on the five year 321 00:16:19,000 --> 00:16:23,760 Speaker 9: anniversary of Musk holding the first Tesla Autonomy Day when 322 00:16:23,880 --> 00:16:26,560 Speaker 9: I remember, you know, covering this with Dana Hole and 323 00:16:27,880 --> 00:16:30,760 Speaker 9: you know, watching Musks talk about this idea that you know, 324 00:16:31,240 --> 00:16:33,520 Speaker 9: by the middle of twenty twenty, he was saying that, 325 00:16:33,600 --> 00:16:36,200 Speaker 9: you know, the million Tesla's that were on the road 326 00:16:36,480 --> 00:16:39,880 Speaker 9: were going to be capable of turning into robotaxis and 327 00:16:39,920 --> 00:16:42,600 Speaker 9: that people would be able to even fall asleep in 328 00:16:42,640 --> 00:16:45,440 Speaker 9: their car. Obviously that has not come to pass, and 329 00:16:45,480 --> 00:16:49,280 Speaker 9: so you know, the expectation that Tesla is going to 330 00:16:49,320 --> 00:16:53,200 Speaker 9: be able to deliver a fully self driving vehicle, you know, 331 00:16:53,680 --> 00:16:55,800 Speaker 9: I think Wall Street's going to need to have some 332 00:16:55,840 --> 00:16:56,360 Speaker 9: show there. 333 00:16:56,760 --> 00:16:59,680 Speaker 2: Yeah, for now, twenty buys on the stock, fourteen cells 334 00:17:00,040 --> 00:17:02,040 Speaker 2: and a price target that does seem to be declining 335 00:17:02,080 --> 00:17:04,399 Speaker 2: a little bit. Crater Deell, great to have you wrapping 336 00:17:04,400 --> 00:17:07,800 Speaker 2: it up, thank you. Meanwhile, look, General Motors Cruise autonomous 337 00:17:07,840 --> 00:17:10,320 Speaker 2: driving business, well, it's preparing to actually resume testing of 338 00:17:10,359 --> 00:17:13,840 Speaker 2: their robotaxes with safety drivers and Phoenix. This marks a 339 00:17:13,880 --> 00:17:17,320 Speaker 2: pretty important step in its attempts to restart service after 340 00:17:17,359 --> 00:17:19,800 Speaker 2: grounding its fleet last year. Remember, the company is set 341 00:17:19,840 --> 00:17:22,280 Speaker 2: to announce and begin the testing as early as today. 342 00:17:22,680 --> 00:17:25,359 Speaker 2: In recent months, Cruise has been in talks with officials 343 00:17:25,359 --> 00:17:28,679 Speaker 2: in twenty metropolitan areas where it previously ran cars or 344 00:17:28,720 --> 00:17:30,000 Speaker 2: had started mapping in. 345 00:17:29,880 --> 00:17:32,760 Speaker 3: Preparation to run them. This is really meg technology. 346 00:17:40,359 --> 00:17:43,879 Speaker 2: Neuro One is a developmental stage company committed to brain 347 00:17:44,040 --> 00:17:47,919 Speaker 2: impact technology and it's just completed its first surgery involving its. 348 00:17:47,800 --> 00:17:49,159 Speaker 3: One RF ablation system. 349 00:17:49,320 --> 00:17:51,119 Speaker 2: Now that's actually a device that can be used for 350 00:17:51,240 --> 00:17:54,919 Speaker 2: mapping and then targeting brain areas with a normal activity. 351 00:17:55,119 --> 00:17:57,400 Speaker 2: It's used to treat a range of neurological conditions such 352 00:17:57,400 --> 00:17:59,960 Speaker 2: as Parkinson's disease. Please to say, joining us now as 353 00:18:00,119 --> 00:18:03,400 Speaker 2: SEO of neuro One Medical Technology is Dave Rosa, And well, 354 00:18:03,440 --> 00:18:06,760 Speaker 2: congratulations on this surgery that I understand occurred just as 355 00:18:06,920 --> 00:18:10,200 Speaker 2: recently as yesterday. And I want to get your perspective 356 00:18:10,240 --> 00:18:13,199 Speaker 2: on how big a seismic shift this is for you. 357 00:18:14,760 --> 00:18:18,480 Speaker 10: I think it's a tremendous, tremendous accomplishment for the company, 358 00:18:18,520 --> 00:18:21,520 Speaker 10: but I also think for the field. I mean, what 359 00:18:22,119 --> 00:18:25,560 Speaker 10: patients have been dealing with that undergo these surgeries is 360 00:18:25,640 --> 00:18:30,119 Speaker 10: they've had to come in for an invasive diagnostic surgery 361 00:18:30,200 --> 00:18:33,919 Speaker 10: where the surgeon tries to locate the problematic area in 362 00:18:33,960 --> 00:18:37,400 Speaker 10: the brain, and then those patients would be sent home 363 00:18:37,520 --> 00:18:42,840 Speaker 10: and then rescheduled for a therapeutic surgery where another device 364 00:18:42,840 --> 00:18:45,040 Speaker 10: would have to be placed to remove the tissue. And 365 00:18:46,240 --> 00:18:48,800 Speaker 10: what we're able to do now with this technology is 366 00:18:49,119 --> 00:18:53,000 Speaker 10: use the same device to do both in the same hospitalization, 367 00:18:53,240 --> 00:18:57,159 Speaker 10: which we think will cut down on hospitalization, surgeries, and 368 00:18:57,520 --> 00:19:00,879 Speaker 10: even cost for the procedures. So we think this is 369 00:19:01,119 --> 00:19:02,280 Speaker 10: a major accomplishment. 370 00:19:02,840 --> 00:19:08,480 Speaker 2: Putting chips or other devices within the brain. The oxygen 371 00:19:08,520 --> 00:19:10,280 Speaker 2: seems to have been sort of sucked out of the 372 00:19:10,359 --> 00:19:12,160 Speaker 2: room by companies such as Neuralink. 373 00:19:12,240 --> 00:19:13,280 Speaker 3: And I'm interested. 374 00:19:12,960 --> 00:19:15,760 Speaker 2: In your perspective actually put the context around this. 375 00:19:15,880 --> 00:19:17,080 Speaker 3: How long has this been happening? 376 00:19:17,080 --> 00:19:20,320 Speaker 2: How long have we been putting bits of equipment devices 377 00:19:20,400 --> 00:19:22,680 Speaker 2: into the brain to be ensuring that we know really 378 00:19:22,680 --> 00:19:23,160 Speaker 2: what's going. 379 00:19:23,119 --> 00:19:27,840 Speaker 10: On there for actually many many years, So it's not 380 00:19:28,040 --> 00:19:32,359 Speaker 10: new for brain mapping, and even with companies like Neuralink 381 00:19:32,400 --> 00:19:39,720 Speaker 10: and synchron you know, putting BCI devices in patience to 382 00:19:40,119 --> 00:19:43,680 Speaker 10: help them move a computer mouse by just thinking that's 383 00:19:43,720 --> 00:19:46,520 Speaker 10: been done for quite a long time. I think the 384 00:19:46,800 --> 00:19:49,440 Speaker 10: eloquence of how they're doing it now is much much 385 00:19:49,480 --> 00:19:54,400 Speaker 10: different by using wireless systems or less invasive systems where 386 00:19:54,400 --> 00:19:57,439 Speaker 10: you're able to place the devices through a blood vessel. 387 00:19:57,760 --> 00:20:00,760 Speaker 10: So that's really where the advancements have come recently. 388 00:20:01,560 --> 00:20:04,840 Speaker 2: You're putting electrodes in the brain, and I'm interested as 389 00:20:04,920 --> 00:20:08,159 Speaker 2: exactly what the different products are that you're developing and 390 00:20:08,200 --> 00:20:09,400 Speaker 2: what they actually do. 391 00:20:10,680 --> 00:20:13,840 Speaker 10: Yeah, so the electrodes that we have and the goal 392 00:20:13,880 --> 00:20:16,320 Speaker 10: of this company was to always be able to use 393 00:20:16,359 --> 00:20:19,560 Speaker 10: the same device to do mapping, to do ablation, and 394 00:20:19,640 --> 00:20:26,000 Speaker 10: to do stimulation, which is another therapeutic treatment for conditions 395 00:20:26,119 --> 00:20:31,240 Speaker 10: like Parkinson's disease and even epilepsy. But really what excites 396 00:20:31,280 --> 00:20:34,199 Speaker 10: me about the future of this technology is not just 397 00:20:34,240 --> 00:20:37,560 Speaker 10: the things that companies like Neuralink are trying to accomplish, 398 00:20:37,560 --> 00:20:41,080 Speaker 10: which is really be able to help people that are paralyzed. 399 00:20:41,480 --> 00:20:44,919 Speaker 10: I think the next wave of utilization for devices like 400 00:20:45,000 --> 00:20:48,679 Speaker 10: ours is to be able to deliver new gene therapies 401 00:20:48,720 --> 00:20:51,760 Speaker 10: and drugs and deliver them precisely to the part of 402 00:20:51,800 --> 00:20:56,520 Speaker 10: the brain that's causing the issues for patients, and then 403 00:20:56,600 --> 00:21:01,080 Speaker 10: also be able to simultaneously monitor the see and then 404 00:21:01,160 --> 00:21:06,440 Speaker 10: other indications, which I think again will be big opportunities 405 00:21:06,520 --> 00:21:13,320 Speaker 10: or Alzheimer's primarily, and then also conditions like severe depression. 406 00:21:14,080 --> 00:21:18,680 Speaker 10: Scientists have found the areas of the brain that control emotions, 407 00:21:18,960 --> 00:21:21,840 Speaker 10: and there's also been some really exciting work done by 408 00:21:21,880 --> 00:21:26,119 Speaker 10: the Mayo Clinic on improving short term memory using electrodes 409 00:21:26,200 --> 00:21:28,080 Speaker 10: like this for Alzheimer's patients. 410 00:21:28,359 --> 00:21:30,920 Speaker 2: Dave Rossa, we always wish the future was sooner than 411 00:21:30,920 --> 00:21:34,000 Speaker 2: it currently is. Thank you for painting out exactly what 412 00:21:34,080 --> 00:21:37,280 Speaker 2: neuro one is doing. Neurowan Medical Technologies, We thank you 413 00:21:37,320 --> 00:21:47,119 Speaker 2: for the time. Welcome back to bluembg Technology and Caroline 414 00:21:47,119 --> 00:21:48,600 Speaker 2: Hoid in New York. Quick check on these markets that 415 00:21:48,640 --> 00:21:50,239 Speaker 2: are bouncing off for their loads. But suddenly we did 416 00:21:50,280 --> 00:21:52,240 Speaker 2: get a turn in the equity market, and we're still 417 00:21:52,280 --> 00:21:54,159 Speaker 2: under pressure by some four tenths percent on the Nasdaq 418 00:21:54,200 --> 00:21:56,760 Speaker 2: one hundred, some of them momentum names in particular under 419 00:21:56,800 --> 00:21:59,440 Speaker 2: pressure and thinking of Viner, thinking of Meta in particular 420 00:21:59,640 --> 00:22:02,760 Speaker 2: selling off even as we see actually bon yields coming down, 421 00:22:02,920 --> 00:22:04,800 Speaker 2: money going into the bomb market ahead of that all 422 00:22:04,840 --> 00:22:06,720 Speaker 2: important CPI print coming tomorrow. 423 00:22:06,880 --> 00:22:08,520 Speaker 5: Currently off for about four or five basis point when 424 00:22:08,560 --> 00:22:09,040 Speaker 5: you can get a. 425 00:22:09,000 --> 00:22:11,200 Speaker 2: Two year, but really across the curve, we're seeing a 426 00:22:11,200 --> 00:22:12,120 Speaker 2: little bit of dip buying. 427 00:22:12,119 --> 00:22:14,640 Speaker 3: We're seeing bitcoin under pressure. Is risk asset sell off. 428 00:22:14,720 --> 00:22:16,440 Speaker 3: We're off almost four percent. 429 00:22:16,480 --> 00:22:18,120 Speaker 2: We're going to be digging into bitcoin in a moment, 430 00:22:18,160 --> 00:22:20,440 Speaker 2: but we'll off of those seventy three thousand dollars level 431 00:22:20,520 --> 00:22:22,680 Speaker 2: highs sixty nine hundred and twenty three. 432 00:22:22,720 --> 00:22:24,560 Speaker 3: Moving on some of the individual movers. 433 00:22:24,280 --> 00:22:26,919 Speaker 2: I want to shine a light ones actually managing to 434 00:22:26,920 --> 00:22:29,040 Speaker 2: be one of the biggest point contributors to the Nasdaq 435 00:22:29,080 --> 00:22:31,040 Speaker 2: one hundred to day, we're up one point two percent. 436 00:22:31,359 --> 00:22:34,080 Speaker 2: Many trying to digest really what the announcement in August 437 00:22:34,119 --> 00:22:37,119 Speaker 2: surrounding Robotaxi innovation is going to mean for a company 438 00:22:37,119 --> 00:22:38,760 Speaker 2: that maybe is pulling back a little bit on some 439 00:22:38,800 --> 00:22:41,120 Speaker 2: of the cheaper offerings that they were planning, and really 440 00:22:41,160 --> 00:22:43,280 Speaker 2: trying to read the room on where Tesla is going 441 00:22:43,480 --> 00:22:46,119 Speaker 2: and how much they've been sold off already. Cisco getting 442 00:22:46,119 --> 00:22:48,840 Speaker 2: an uplift from certain analysts Augustani liking it up two 443 00:22:48,880 --> 00:22:50,800 Speaker 2: point two percent, really feeling that there's been too much 444 00:22:50,840 --> 00:22:54,480 Speaker 2: bearishness around this particular name, Galaxy Digital interesting one of 445 00:22:54,480 --> 00:22:57,040 Speaker 2: course traded over in Canada. We all know Mike Navogatsu's 446 00:22:57,200 --> 00:22:59,760 Speaker 2: leading this particular business off by eighteen percent, hit hard 447 00:22:59,760 --> 00:23:01,800 Speaker 2: while they're raising money one hundred and twenty five million 448 00:23:01,840 --> 00:23:04,200 Speaker 2: dollars a bit. They're doing an all stock deal really 449 00:23:04,200 --> 00:23:07,320 Speaker 2: with Cnical genuinity of buying up some of their overall 450 00:23:07,359 --> 00:23:10,960 Speaker 2: stop managing to put this towards working purposes and ultimately 451 00:23:11,080 --> 00:23:14,480 Speaker 2: continuing to keep on fueling the business. But we're off 452 00:23:14,520 --> 00:23:16,959 Speaker 2: significantly on the back of that supply. So keep an 453 00:23:16,960 --> 00:23:19,159 Speaker 2: eye on some of the crypto names, as crypto is 454 00:23:19,200 --> 00:23:21,800 Speaker 2: indeed under pressure. And let's just dig in a little 455 00:23:21,800 --> 00:23:24,960 Speaker 2: bit there, because while we've seen crypto selling off today, 456 00:23:25,440 --> 00:23:28,160 Speaker 2: the momentum has been up into the right of late, 457 00:23:28,280 --> 00:23:30,320 Speaker 2: and that's because we've had plenty to talk about from 458 00:23:30,320 --> 00:23:31,200 Speaker 2: an ETF perspective. 459 00:23:31,200 --> 00:23:33,360 Speaker 5: But also coming up in a couple of weeks that highly. 460 00:23:33,160 --> 00:23:37,080 Speaker 2: Anticipated Bitcoin halving event, which as a history of lifting 461 00:23:37,119 --> 00:23:38,240 Speaker 2: the price even more. 462 00:23:38,200 --> 00:23:40,080 Speaker 3: And we're hoping there are. 463 00:23:40,000 --> 00:23:43,159 Speaker 2: Hopes more generally that maybe the high in light of 464 00:23:43,200 --> 00:23:45,720 Speaker 2: bitcoin's current rally and more than fifty percent or record 465 00:23:45,760 --> 00:23:48,400 Speaker 2: high this year might actually still have room to run. 466 00:23:49,040 --> 00:23:51,280 Speaker 2: What's exactly going on, Let's speak it all down and 467 00:23:51,320 --> 00:23:52,160 Speaker 2: what the harving means. 468 00:23:52,280 --> 00:23:55,600 Speaker 11: Take a listen on the horizon is a preordained event 469 00:23:55,640 --> 00:23:59,440 Speaker 11: that will change the business of bitcoin forever. It's called 470 00:23:59,680 --> 00:24:03,600 Speaker 11: the hea. It will become much more difficult for miners 471 00:24:03,640 --> 00:24:06,520 Speaker 11: to produce new coins. 472 00:24:06,080 --> 00:24:09,399 Speaker 3: After the having. Margins will be cut overnight by fifty percent. 473 00:24:09,800 --> 00:24:12,000 Speaker 9: So the halving might be good for the holders, but 474 00:24:12,040 --> 00:24:13,920 Speaker 9: it's not necessarily good for the miners. 475 00:24:14,040 --> 00:24:17,960 Speaker 12: Some companies are either bulking up for scale or finding 476 00:24:17,960 --> 00:24:18,879 Speaker 12: ways to diversify. 477 00:24:19,160 --> 00:24:22,560 Speaker 2: Some companies that in the past we're bitcoin mining, they've 478 00:24:22,560 --> 00:24:26,080 Speaker 2: shifted over to training these ever BIGGERAI models. 479 00:24:26,280 --> 00:24:29,280 Speaker 12: This is kind of a moment for bitcoin that is 480 00:24:29,640 --> 00:24:31,440 Speaker 12: arguably one of its biggest ever. 481 00:24:32,359 --> 00:24:35,919 Speaker 11: Twenty one million that is the total number of bitcoins 482 00:24:35,960 --> 00:24:39,400 Speaker 11: that can ever exist, and over nineteen million of those 483 00:24:39,680 --> 00:24:43,920 Speaker 11: have already been awarded. The having is the mechanism designed 484 00:24:43,960 --> 00:24:48,679 Speaker 11: to create scarcity and control Bitcoin's limited supply. It happens 485 00:24:48,680 --> 00:24:51,960 Speaker 11: every four years, and when it does, all future block 486 00:24:52,040 --> 00:24:53,320 Speaker 11: rewards are cut in half. 487 00:24:53,440 --> 00:24:58,080 Speaker 10: The having is a natural phenomenon in bitcoin that disciplines 488 00:24:58,119 --> 00:25:01,120 Speaker 10: the entire market and forces it to become more efficient. 489 00:25:01,880 --> 00:25:04,200 Speaker 2: You can watch the rest of this episode on Boomberg 490 00:25:04,240 --> 00:25:06,600 Speaker 2: dot com. But now let's dig into the harving and 491 00:25:06,680 --> 00:25:09,880 Speaker 2: more broadly, the ecosystem a bitcoin with Rienasha, vice president 492 00:25:09,920 --> 00:25:13,560 Speaker 2: of Operations of Products at Trust Machines. You build applications 493 00:25:13,600 --> 00:25:16,359 Speaker 2: for bitcoin. It's all about a broadening out of the ecosystem. 494 00:25:16,359 --> 00:25:18,360 Speaker 2: But Rena, when we go to the halving, how much 495 00:25:18,359 --> 00:25:20,080 Speaker 2: of a fundamental lift will the speed. 496 00:25:19,840 --> 00:25:20,240 Speaker 3: Do you think? 497 00:25:21,600 --> 00:25:24,760 Speaker 13: Firstalent, thank you so much for bringing me here on today. 498 00:25:25,359 --> 00:25:28,240 Speaker 13: I'd say bitcoin having is going to have a huge 499 00:25:28,280 --> 00:25:31,760 Speaker 13: impact on bitcoin markets today. We are in a very 500 00:25:31,840 --> 00:25:34,600 Speaker 13: unique cycle because we are ten days away from having. 501 00:25:34,920 --> 00:25:37,160 Speaker 13: We're at an all time high, and a spa etf 502 00:25:37,280 --> 00:25:40,000 Speaker 13: just came in America. So at this point, what I'm 503 00:25:40,040 --> 00:25:42,880 Speaker 13: seeing is that the supply will be shunk. We will 504 00:25:42,880 --> 00:25:46,399 Speaker 13: have less bitcoin entering in after April twentieth, but the 505 00:25:46,440 --> 00:25:48,920 Speaker 13: demand is at an all time high from institutions and 506 00:25:49,040 --> 00:25:52,640 Speaker 13: retails coming into bitcoin. What this means is that more 507 00:25:52,760 --> 00:25:55,280 Speaker 13: people are going to be looking to bitcoin to turn 508 00:25:55,320 --> 00:25:58,040 Speaker 13: it from a passive asset to a productive asset, and 509 00:25:58,080 --> 00:26:01,400 Speaker 13: that's what our company trust machines. It's all about building 510 00:26:01,480 --> 00:26:04,480 Speaker 13: real products to do more with their bitcoin. 511 00:26:04,840 --> 00:26:07,520 Speaker 2: Go to the passive bit Though, with your experience of 512 00:26:07,520 --> 00:26:09,720 Speaker 2: the head of the exchange of at Finance US, is 513 00:26:09,760 --> 00:26:12,240 Speaker 2: it true that we've seen more institutional players come in 514 00:26:12,359 --> 00:26:14,240 Speaker 2: or of late, have we just been powered by more 515 00:26:14,320 --> 00:26:17,520 Speaker 2: retail accessing spot ets in the US for example? 516 00:26:18,920 --> 00:26:20,560 Speaker 13: I think it's a little bit of built that we're 517 00:26:20,560 --> 00:26:23,679 Speaker 13: seeing on the institutional side more and more coming in 518 00:26:23,760 --> 00:26:26,600 Speaker 13: because they now have new access to bitcoin. But on 519 00:26:26,640 --> 00:26:29,800 Speaker 13: the retail side are seeing new developments with bitcoin through 520 00:26:29,920 --> 00:26:33,840 Speaker 13: Ordinals Bitcoin NFTs, and it is creating a brand new 521 00:26:33,920 --> 00:26:38,080 Speaker 13: supply of artists and creators building with bitcoin to create 522 00:26:38,119 --> 00:26:40,639 Speaker 13: a new form of art. This is a very different 523 00:26:40,680 --> 00:26:42,760 Speaker 13: retail phenomena that we're seeing. 524 00:26:43,080 --> 00:26:45,480 Speaker 2: Okay, different from the NFTs that we all love to 525 00:26:45,520 --> 00:26:46,080 Speaker 2: talk about a. 526 00:26:46,080 --> 00:26:46,600 Speaker 3: Few years ago. 527 00:26:46,640 --> 00:26:49,400 Speaker 2: Reena, and I'm interested when you're thinking about a bitcoin 528 00:26:49,440 --> 00:26:52,600 Speaker 2: network that many have thought of was usually look either 529 00:26:52,880 --> 00:26:55,000 Speaker 2: something that you were gaming in some way. It was 530 00:26:55,040 --> 00:26:58,159 Speaker 2: more of an asset that you bet upon or indeed 531 00:26:58,359 --> 00:26:59,080 Speaker 2: stored value. 532 00:26:59,119 --> 00:27:00,480 Speaker 3: If that was the way that you saw. 533 00:27:00,320 --> 00:27:03,280 Speaker 2: It largely, you know this was something that wasn't being 534 00:27:03,280 --> 00:27:05,640 Speaker 2: built on from a smart contract perspective that we saw 535 00:27:05,680 --> 00:27:08,040 Speaker 2: over with ease. But you're trying to change the narrative 536 00:27:08,040 --> 00:27:09,560 Speaker 2: around that a little bit, as you say, make it 537 00:27:09,600 --> 00:27:14,080 Speaker 2: more productive. Where is the production coming from web three 538 00:27:14,600 --> 00:27:15,879 Speaker 2: apps that are being built? 539 00:27:16,400 --> 00:27:17,679 Speaker 3: What are the most nucrative for you? 540 00:27:19,320 --> 00:27:21,520 Speaker 13: So I think if you were to think about bitcoin 541 00:27:21,520 --> 00:27:25,360 Speaker 13: as a market opportunity, we have one point three trillion 542 00:27:25,400 --> 00:27:28,200 Speaker 13: dollars in BTC as an asset class, so we have 543 00:27:28,359 --> 00:27:31,960 Speaker 13: surpassed the store of value. But we're trained to move 544 00:27:32,000 --> 00:27:35,119 Speaker 13: into now the medium exchange. If you were to build 545 00:27:35,240 --> 00:27:39,159 Speaker 13: applications on top of bitcoin like layers like what lightning 546 00:27:39,240 --> 00:27:43,560 Speaker 13: is building, or DeFi or stable coins or anything under 547 00:27:43,600 --> 00:27:47,439 Speaker 13: the sun, you can have a larger economy as a 548 00:27:47,440 --> 00:27:51,280 Speaker 13: flywheel on bitcoin. So think about this. All of the 549 00:27:51,400 --> 00:27:53,919 Speaker 13: value is what we see on the surface, but the 550 00:27:54,040 --> 00:27:58,359 Speaker 13: untapped potential of a one hundred two hundred billion dollar 551 00:27:58,440 --> 00:28:01,200 Speaker 13: market is below the surface, and we are just scrapping 552 00:28:01,240 --> 00:28:05,240 Speaker 13: the surface through new layered technology on bitcoin. 553 00:28:05,560 --> 00:28:08,400 Speaker 3: Like what like what technology? What use cases? 554 00:28:09,680 --> 00:28:11,880 Speaker 13: A lot of different use cases. The first is the 555 00:28:11,880 --> 00:28:15,200 Speaker 13: idea of bitcoin. L two's Bitcoin is having a moment 556 00:28:15,320 --> 00:28:17,439 Speaker 13: and a lot of people are thinking about how to 557 00:28:17,520 --> 00:28:22,320 Speaker 13: scale bitcoin by creating new layers like what Ethereum has 558 00:28:22,400 --> 00:28:26,720 Speaker 13: with Polygon or other l twos with bitcoin. This means 559 00:28:26,760 --> 00:28:30,160 Speaker 13: that I can have smart contracts with bitcoin, meaning that 560 00:28:30,320 --> 00:28:35,480 Speaker 13: BTC lightent capital that asset can be deployed directly into DeFi. 561 00:28:36,720 --> 00:28:41,040 Speaker 13: RWA's thinking about tokens, treasury bills. Kind of the world 562 00:28:41,120 --> 00:28:45,280 Speaker 13: is the limit on the idea of new products being 563 00:28:45,280 --> 00:28:49,080 Speaker 13: built on bitcoin, but using most secure and stable blockchain 564 00:28:49,520 --> 00:28:50,640 Speaker 13: in all of the world. 565 00:28:50,840 --> 00:28:52,520 Speaker 5: So real weld assets a key focus. 566 00:28:52,600 --> 00:28:55,960 Speaker 2: I'm interested in your business, in particular trust machines. What 567 00:28:56,000 --> 00:28:58,480 Speaker 2: was it a revenue growth of you seeing how you 568 00:28:58,760 --> 00:29:01,000 Speaker 2: managing to bring in money the same time as the 569 00:29:01,080 --> 00:29:02,160 Speaker 2: costs there involved. 570 00:29:04,120 --> 00:29:06,920 Speaker 13: There is always costs in doing any sort of business. 571 00:29:06,960 --> 00:29:10,600 Speaker 13: There's no secret in that our product lines are very diversified. 572 00:29:10,920 --> 00:29:13,120 Speaker 13: One of our products is the leading bitcoin while it 573 00:29:13,240 --> 00:29:16,320 Speaker 13: calt leather meaning not your keys, not your crypto. We 574 00:29:16,440 --> 00:29:19,680 Speaker 13: help Americans and people all over the globe get access 575 00:29:19,720 --> 00:29:22,960 Speaker 13: to bitcoin and secure it safely here at home. The 576 00:29:23,080 --> 00:29:25,960 Speaker 13: other product that we're building is a little bit revolutionary 577 00:29:26,080 --> 00:29:30,760 Speaker 13: and very new. We are bringing the web to functionality 578 00:29:30,800 --> 00:29:34,400 Speaker 13: of a tld SO a domain. If you say as 579 00:29:34,560 --> 00:29:38,000 Speaker 13: a passport into web three and bitcoin, meaning I take 580 00:29:38,080 --> 00:29:40,240 Speaker 13: my digital identity everywhere we go. 581 00:29:41,320 --> 00:29:43,240 Speaker 2: Okay, feels like we need to get you on a 582 00:29:43,320 --> 00:29:46,520 Speaker 2: little bit more to dig into my new digital identity 583 00:29:46,560 --> 00:29:48,720 Speaker 2: and whether or not that's having just got my eye 584 00:29:48,800 --> 00:29:51,680 Speaker 2: or not, Rienisha, I may please spend the tiety vice 585 00:29:51,680 --> 00:29:54,480 Speaker 2: president of Operations and Products over at Trust Machines. 586 00:29:54,760 --> 00:29:56,880 Speaker 3: Really fascinating across the cryptospa. 587 00:29:56,880 --> 00:29:59,440 Speaker 2: I mean, while watching shares of Intel today, let's just 588 00:29:59,480 --> 00:30:01,320 Speaker 2: keep an eye mo broadly on some of the chip 589 00:30:01,320 --> 00:30:03,920 Speaker 2: makers as we see really a bit of a sell 590 00:30:03,960 --> 00:30:04,400 Speaker 2: off that's. 591 00:30:04,280 --> 00:30:05,240 Speaker 3: Been happening across the world. 592 00:30:05,280 --> 00:30:07,600 Speaker 2: Now we're actually seeing a spike higher than the world 593 00:30:07,600 --> 00:30:10,120 Speaker 2: of Intel right now, almost managing to trade flat on 594 00:30:10,200 --> 00:30:13,960 Speaker 2: the day this as we see an announcement more around 595 00:30:14,040 --> 00:30:17,280 Speaker 2: Goudi three. They're saying they're unleashing enterprise AI with Goudi 596 00:30:17,320 --> 00:30:20,680 Speaker 2: three AI, open system strategy, New customer wins is what's 597 00:30:20,720 --> 00:30:23,920 Speaker 2: coming out. This is Intel's vision twenty twenty four and 598 00:30:24,000 --> 00:30:26,120 Speaker 2: really breaking down some of those proprietary rules they say 599 00:30:26,160 --> 00:30:29,680 Speaker 2: to bring choice to enterprise generative AI markets. Isn't it 600 00:30:29,720 --> 00:30:31,320 Speaker 2: interesting that seems to be coming on the same day 601 00:30:31,360 --> 00:30:34,880 Speaker 2: as Google's announcements, and also they're teaming up with Broadcom, 602 00:30:35,200 --> 00:30:37,360 Speaker 2: so we're just seeing a release of new AI hardware 603 00:30:37,560 --> 00:30:40,240 Speaker 2: to compete within video in VideA. Of course, under pressure 604 00:30:40,240 --> 00:30:42,600 Speaker 2: today this is blue made technology. 605 00:30:57,760 --> 00:30:59,800 Speaker 3: Investing in privately held companies. 606 00:31:00,000 --> 00:31:02,480 Speaker 2: It can be difficult for retail investors in particular, but 607 00:31:02,560 --> 00:31:05,360 Speaker 2: Destiny Tech one hundred is trying to change that. It's 608 00:31:05,360 --> 00:31:08,440 Speaker 2: a publicly traded closed end fund and holds shares the 609 00:31:08,440 --> 00:31:12,640 Speaker 2: private tech startups think Stripes, SpaceX, Open Ai, Discord, Epic Games, 610 00:31:12,960 --> 00:31:15,320 Speaker 2: and it trades publicly now on the New York Ticke 611 00:31:15,400 --> 00:31:17,400 Speaker 2: Exchange under the ticker d XYZ. 612 00:31:18,000 --> 00:31:21,960 Speaker 3: But it's investments are private. They're a liquid and the fund. 613 00:31:21,680 --> 00:31:24,160 Speaker 2: Plans to expand its holdings to include stocks in one 614 00:31:24,280 --> 00:31:27,760 Speaker 2: hundred startups now other the companies it has invested in 615 00:31:27,840 --> 00:31:30,360 Speaker 2: cell or go public. The returns from those investments can 616 00:31:30,400 --> 00:31:34,520 Speaker 2: be distributed shareholders as a divindard or indeed reinvested back 617 00:31:34,520 --> 00:31:37,160 Speaker 2: into the fund. As you saw, it has been incredibly volatile, 618 00:31:37,160 --> 00:31:39,720 Speaker 2: in fact paused several times today for trading, having risen 619 00:31:39,760 --> 00:31:42,120 Speaker 2: about eight hundred percent in the last few trading days. 620 00:31:42,160 --> 00:31:44,400 Speaker 2: But you want to get back to the opportunity of 621 00:31:44,480 --> 00:31:47,320 Speaker 2: investing in the secondary market private companies. 622 00:31:47,560 --> 00:31:49,239 Speaker 3: Drew Glover, I'm pleased to say is with us. 623 00:31:49,240 --> 00:31:52,160 Speaker 2: He's partner at FIAT Ventures and founding partner of FIAT Growth, 624 00:31:52,680 --> 00:31:56,400 Speaker 2: and that is where you help advise scale, bring to 625 00:31:56,440 --> 00:31:59,240 Speaker 2: bear fintech companies in particular, you then get really close 626 00:31:59,280 --> 00:32:02,560 Speaker 2: to them, understand he investment chunks. Secondary market is something 627 00:32:02,640 --> 00:32:04,320 Speaker 2: you've been giving an eye on. What do you think 628 00:32:04,360 --> 00:32:04,640 Speaker 2: of it? 629 00:32:04,960 --> 00:32:07,280 Speaker 14: Yeah, so I've been keeping a close eye on this, 630 00:32:07,320 --> 00:32:10,880 Speaker 14: mainly because we work with private companies, and I think 631 00:32:10,920 --> 00:32:13,560 Speaker 14: what we've seen over the last call it, twenty four 632 00:32:13,600 --> 00:32:16,520 Speaker 14: months is this shift from a momentum market into a 633 00:32:16,600 --> 00:32:20,040 Speaker 14: fundamentals market and a lot of companies that were highly 634 00:32:20,200 --> 00:32:23,040 Speaker 14: highly valued a couple of years ago have really been 635 00:32:23,080 --> 00:32:25,480 Speaker 14: dormant in the private market. There's not haven't been a 636 00:32:25,520 --> 00:32:29,640 Speaker 14: ton of IPOs. There's been a lot of companies building, optimizing, 637 00:32:30,040 --> 00:32:33,360 Speaker 14: really trying to become profitable during this downtime. And what 638 00:32:33,440 --> 00:32:36,800 Speaker 14: that's created is a lot of really incredible opportunities in 639 00:32:36,800 --> 00:32:39,320 Speaker 14: the secondary market, but also, at the same time some 640 00:32:40,120 --> 00:32:43,680 Speaker 14: not so exciting secondary market opportunities. Okay, and that is 641 00:32:43,760 --> 00:32:47,640 Speaker 14: mainly because depending on kind of where the private market sits. 642 00:32:47,640 --> 00:32:51,280 Speaker 14: There's always massive trends, massive things that drive over valuation, 643 00:32:51,760 --> 00:32:55,600 Speaker 14: massive rounds, big valuations, And so you know what we're 644 00:32:55,600 --> 00:32:57,640 Speaker 14: seeing in this market, in the secondary market right now 645 00:32:57,760 --> 00:33:01,360 Speaker 14: is I think the really really educated buyers are making 646 00:33:01,400 --> 00:33:04,360 Speaker 14: some really smart decisions, but it's still very easy to 647 00:33:04,360 --> 00:33:06,600 Speaker 14: get caught up in the height of what some of 648 00:33:06,640 --> 00:33:07,959 Speaker 14: these trends are AI. 649 00:33:08,200 --> 00:33:09,520 Speaker 2: You know, I could talk to trying to tell me 650 00:33:09,560 --> 00:33:11,760 Speaker 2: the open AI isn't a good deal in the secondary market. 651 00:33:12,160 --> 00:33:13,720 Speaker 14: You know what, I actually can't tell you what the 652 00:33:13,760 --> 00:33:16,560 Speaker 14: number is from an open AI standpoint, but the opportunity 653 00:33:16,600 --> 00:33:19,880 Speaker 14: open AI has brings a number on their head that 654 00:33:20,080 --> 00:33:22,480 Speaker 14: they still need to grow into. And when we're talking 655 00:33:22,520 --> 00:33:25,120 Speaker 14: about trends in the private market, the valuations that are 656 00:33:25,120 --> 00:33:27,640 Speaker 14: put out there are numbers that they expect companies to 657 00:33:27,640 --> 00:33:30,440 Speaker 14: grow into. And so when you think about it, you're 658 00:33:30,480 --> 00:33:33,360 Speaker 14: betting on the futures of a company versus some of 659 00:33:33,400 --> 00:33:35,720 Speaker 14: these other ones that have done really well and have 660 00:33:35,760 --> 00:33:39,800 Speaker 14: stayed really quiet, and because they're not public, the information 661 00:33:40,040 --> 00:33:43,760 Speaker 14: on their success isn't as widespread, and so you really 662 00:33:43,800 --> 00:33:45,840 Speaker 14: need to be an insider to understand where the value 663 00:33:45,880 --> 00:33:46,840 Speaker 14: sits in the secondaries. 664 00:33:46,920 --> 00:33:49,680 Speaker 2: So sort of a cautionary tale to retail investors who 665 00:33:49,920 --> 00:33:51,760 Speaker 2: need to actually do a little bit more digging than 666 00:33:51,920 --> 00:33:54,720 Speaker 2: just go to the most hype name on a five 667 00:33:55,360 --> 00:33:58,800 Speaker 2: across headlines or indeed on social media. 668 00:33:58,920 --> 00:34:00,720 Speaker 5: How do you start to get that insight? 669 00:34:00,840 --> 00:34:02,560 Speaker 3: Where do you start peeling the onion. 670 00:34:02,280 --> 00:34:04,680 Speaker 14: From Yeah, and so you know, I think you know 671 00:34:05,000 --> 00:34:06,720 Speaker 14: there's a number of these different companies right now that 672 00:34:06,760 --> 00:34:09,919 Speaker 14: are really kind of bringing together, you know, these consortiums 673 00:34:09,920 --> 00:34:13,280 Speaker 14: of different private companies. Some are on the public markets, 674 00:34:13,440 --> 00:34:16,320 Speaker 14: other ones are are are really just building different companies 675 00:34:16,360 --> 00:34:18,440 Speaker 14: to kind of roll up some of these different pieces. 676 00:34:18,600 --> 00:34:19,839 Speaker 14: I mean, you need to have you need to hash 677 00:34:19,880 --> 00:34:22,560 Speaker 14: yourself to the attach yourself to the right minds that 678 00:34:22,600 --> 00:34:24,959 Speaker 14: are that are leading this charge. Well at the same time, 679 00:34:25,800 --> 00:34:27,520 Speaker 14: you know, you kind of just need to know the 680 00:34:27,560 --> 00:34:31,080 Speaker 14: right people. You know, for example, I know the mafia 681 00:34:31,120 --> 00:34:33,480 Speaker 14: of a number of different you know, really incredible companies 682 00:34:33,520 --> 00:34:36,880 Speaker 14: that aren't quite public quite public yet. And you know 683 00:34:36,920 --> 00:34:39,480 Speaker 14: that is just the nature of me being in San Francisco, 684 00:34:39,680 --> 00:34:42,080 Speaker 14: you know, knowing a number of different people, but you 685 00:34:42,160 --> 00:34:44,560 Speaker 14: really need to not only like know within your network, 686 00:34:44,560 --> 00:34:46,160 Speaker 14: but you also need to stay close to the people 687 00:34:46,480 --> 00:34:49,320 Speaker 14: that are living and breathing this every day. If you don't, 688 00:34:49,400 --> 00:34:51,080 Speaker 14: you will get caught up in the hype cycle. The 689 00:34:51,160 --> 00:34:56,960 Speaker 14: private company story in the mb kind of publication market 690 00:34:57,440 --> 00:34:59,759 Speaker 14: that is the greatest story ever been told, because you 691 00:34:59,760 --> 00:35:03,560 Speaker 14: don't have to work underneath the kind of public market 692 00:35:05,280 --> 00:35:09,120 Speaker 14: scrutiny of how you really talk about your business to 693 00:35:09,160 --> 00:35:11,920 Speaker 14: the world. So you know you can't get caught up 694 00:35:11,920 --> 00:35:13,919 Speaker 14: in the hype because it can really hurt if you're 695 00:35:14,040 --> 00:35:15,600 Speaker 14: trying to lead into the secondary space. 696 00:35:16,440 --> 00:35:18,680 Speaker 3: Okay, so let's go for real versus hype. 697 00:35:18,760 --> 00:35:21,680 Speaker 5: Where has been the real work been done? 698 00:35:21,719 --> 00:35:24,120 Speaker 2: From a fintech perspective, this is your area of expertise. 699 00:35:24,480 --> 00:35:25,040 Speaker 5: Is it B t C? 700 00:35:25,280 --> 00:35:26,759 Speaker 3: Is it B to B where some of the. 701 00:35:26,719 --> 00:35:30,200 Speaker 2: Company's been doubling down and generating revenue and actually profits. 702 00:35:30,200 --> 00:35:30,840 Speaker 3: Stare I say it? 703 00:35:31,160 --> 00:35:31,399 Speaker 2: Yeah? 704 00:35:31,440 --> 00:35:34,440 Speaker 14: So I think I think there's some big opportunities from 705 00:35:34,440 --> 00:35:37,000 Speaker 14: a secondary standpoint in the direct to consumer space. I 706 00:35:37,040 --> 00:35:40,920 Speaker 14: think what happened in this transition from momentum to fundamentals 707 00:35:41,280 --> 00:35:43,640 Speaker 14: is a lot of people rode off large neobanks, a 708 00:35:43,680 --> 00:35:45,520 Speaker 14: lot of people wrote off a lot of the really 709 00:35:45,640 --> 00:35:49,600 Speaker 14: large consumer plays in fintech. And don't get me wrong, 710 00:35:49,840 --> 00:35:52,440 Speaker 14: some aren't doing very well. Some are doing better than 711 00:35:52,440 --> 00:35:53,560 Speaker 14: you could ever imagine. 712 00:35:54,080 --> 00:35:55,799 Speaker 2: Is there a discerning trend as to which ones are 713 00:35:55,800 --> 00:35:57,279 Speaker 2: doing better than you'd ever imagine? 714 00:35:57,600 --> 00:36:00,799 Speaker 14: Yeah, well, in terms of in terms of trends, again, 715 00:36:00,880 --> 00:36:03,640 Speaker 14: this is information that that's just like not widely available. However, 716 00:36:04,880 --> 00:36:07,560 Speaker 14: you know what's happened is is what was happening before. 717 00:36:07,600 --> 00:36:09,080 Speaker 14: What was happening before is we were really in the 718 00:36:09,120 --> 00:36:11,040 Speaker 14: middle of a brand war. It was a number of 719 00:36:11,080 --> 00:36:13,840 Speaker 14: different neo banks and consumer FinTechs that were all just 720 00:36:13,880 --> 00:36:16,160 Speaker 14: competing to have the biggest brand, and that meant they 721 00:36:16,160 --> 00:36:18,920 Speaker 14: were just spending a ton of money on Facebook and Instagram. 722 00:36:19,160 --> 00:36:23,080 Speaker 14: And then once the momentum market shifted into the fundamentals market, 723 00:36:23,280 --> 00:36:24,920 Speaker 14: you know, we pulled back on spends a little bit 724 00:36:24,960 --> 00:36:27,080 Speaker 14: and we started looking internal to the business. How can 725 00:36:27,120 --> 00:36:28,640 Speaker 14: we make it so we're not just building a company 726 00:36:28,680 --> 00:36:31,000 Speaker 14: just based off interchange, you know, how do we make 727 00:36:31,040 --> 00:36:33,440 Speaker 14: it so we can get more products in front of 728 00:36:33,440 --> 00:36:36,840 Speaker 14: our different users and make recommendations maybe driven by AI 729 00:36:36,960 --> 00:36:39,680 Speaker 14: that will help improve their financial health and their financial life, 730 00:36:39,840 --> 00:36:42,959 Speaker 14: and really building internally to build additional products to drive 731 00:36:43,040 --> 00:36:47,000 Speaker 14: revenue and build existing growth growth channels within the existing 732 00:36:47,080 --> 00:36:50,080 Speaker 14: network to make it so we can drive more profitability, 733 00:36:50,320 --> 00:36:52,960 Speaker 14: drive more revenue, drive more value to the end user. 734 00:36:53,200 --> 00:36:56,600 Speaker 14: And so what's been happening from a private market perspective 735 00:36:56,960 --> 00:37:00,400 Speaker 14: is these engines that were one note have now created 736 00:37:00,480 --> 00:37:03,960 Speaker 14: multiple engines within their business to create long lasting value. 737 00:37:04,120 --> 00:37:06,480 Speaker 2: What's interesting is we might well get a public exit 738 00:37:06,520 --> 00:37:08,720 Speaker 2: from a key fintech And I'm thinking of Klana. 739 00:37:08,760 --> 00:37:09,719 Speaker 3: Everyone wants to see what. 740 00:37:09,680 --> 00:37:12,160 Speaker 2: Stripe's going to do at some time, but the buyd 741 00:37:12,160 --> 00:37:14,960 Speaker 2: how pay later ship is where Karana is wrapped up. 742 00:37:14,960 --> 00:37:17,839 Speaker 2: They're also talking a very interesting general to AI game 743 00:37:17,840 --> 00:37:20,920 Speaker 2: at the moment and the productivity they're seeing that is 744 00:37:20,920 --> 00:37:23,279 Speaker 2: that going to be an opening for other companies that 745 00:37:23,280 --> 00:37:25,200 Speaker 2: you're currently advising and taking states in. 746 00:37:25,360 --> 00:37:27,560 Speaker 5: Will there be more fintech companies going public? 747 00:37:28,239 --> 00:37:28,479 Speaker 4: Yeah? 748 00:37:28,480 --> 00:37:30,719 Speaker 14: So I think there will be more FinTechs going public. Again, 749 00:37:31,200 --> 00:37:33,239 Speaker 14: we're talking about a cohort that's been around for the 750 00:37:33,280 --> 00:37:38,120 Speaker 14: last you know, fifteen years, you know, because old Yeah, 751 00:37:38,160 --> 00:37:39,880 Speaker 14: a lot of these folks were hoping to go public 752 00:37:39,880 --> 00:37:41,520 Speaker 14: a couple of years ago. And you know, what they've 753 00:37:41,560 --> 00:37:43,759 Speaker 14: really done, like I was saying, is really you know, 754 00:37:43,840 --> 00:37:47,000 Speaker 14: optimize the engine that they've been building. I think Klaranna 755 00:37:47,080 --> 00:37:49,319 Speaker 14: is a really interesting one. I mean, like hot take here, 756 00:37:49,360 --> 00:37:50,560 Speaker 14: Like I don't think there's going to be a lot 757 00:37:50,600 --> 00:37:52,920 Speaker 14: of other by now pay later businesses that they get 758 00:37:52,960 --> 00:37:57,520 Speaker 14: to reach the IPO space to about it. It's it's 759 00:37:58,000 --> 00:38:00,920 Speaker 14: it is crowded, but at the same time it's a 760 00:38:00,960 --> 00:38:05,680 Speaker 14: capital intensive business. From the standpoint of one, you need 761 00:38:05,719 --> 00:38:07,840 Speaker 14: to really market it as a brand. Although it's a 762 00:38:07,880 --> 00:38:10,520 Speaker 14: B two B two C product meaning I'm selling to 763 00:38:10,560 --> 00:38:12,480 Speaker 14: a business and I'm trying to own real estate on 764 00:38:12,520 --> 00:38:15,440 Speaker 14: their checkout page. When us as consumers land on that 765 00:38:15,520 --> 00:38:18,279 Speaker 14: checkout page and we see a firm or Klarna, we 766 00:38:18,320 --> 00:38:21,520 Speaker 14: need to feel confident in that brand for us to 767 00:38:21,880 --> 00:38:25,760 Speaker 14: go into debt with that brand. So that's one piece 768 00:38:25,840 --> 00:38:28,560 Speaker 14: is just like the brand side. The other one is 769 00:38:28,600 --> 00:38:30,960 Speaker 14: it's a it's a debt facility. And one thing we've 770 00:38:30,960 --> 00:38:33,080 Speaker 14: seen is the debt facility market's taken a big hit 771 00:38:33,160 --> 00:38:38,120 Speaker 14: in terms of these debt providers providing risk to other companies. 772 00:38:38,640 --> 00:38:40,839 Speaker 14: I've seen this in the you know, the the very 773 00:38:40,880 --> 00:38:44,319 Speaker 14: early stage market. I've seen in the high market, and 774 00:38:44,640 --> 00:38:46,839 Speaker 14: what we've seen with Klarna is, you know, luckily they 775 00:38:46,840 --> 00:38:49,040 Speaker 14: are so far along. What they really are is they're 776 00:38:49,040 --> 00:38:51,680 Speaker 14: an underwriting tool just like a firm. They're able to 777 00:38:51,800 --> 00:38:55,759 Speaker 14: offer they're able to offer micro lending options for no 778 00:38:55,880 --> 00:39:00,239 Speaker 14: interest at all, although they did just they just did 779 00:39:00,360 --> 00:39:03,279 Speaker 14: just input a late fee charge. You know, there's some 780 00:39:03,320 --> 00:39:05,120 Speaker 14: things that they're doing that try to optimize. We talked 781 00:39:05,160 --> 00:39:08,440 Speaker 14: about AI. They're also potentially laying off seven hundred different 782 00:39:08,440 --> 00:39:12,160 Speaker 14: folks to bring chat GPT in as their customer service 783 00:39:12,239 --> 00:39:15,000 Speaker 14: arm of the business, which they've run some really interesting 784 00:39:15,080 --> 00:39:17,960 Speaker 14: tests on that have been really successful. But to get 785 00:39:18,000 --> 00:39:20,280 Speaker 14: to that stage you have to raise billions of dollars. 786 00:39:20,800 --> 00:39:22,600 Speaker 2: Well, we'll get you back on as and when that 787 00:39:22,640 --> 00:39:24,200 Speaker 2: goes public and what are the new ones to keep 788 00:39:24,360 --> 00:39:27,600 Speaker 2: enough on? Drew Glover, partner at Fiat Venture's funding partner 789 00:39:27,600 --> 00:39:28,360 Speaker 2: at fat Growth. 790 00:39:28,600 --> 00:39:29,399 Speaker 3: We thank for his time. 791 00:39:37,000 --> 00:39:39,279 Speaker 15: Last year it was about a chief supply. People could 792 00:39:39,280 --> 00:39:44,480 Speaker 15: not get enough in video chefs. Particularly this year is 793 00:39:44,520 --> 00:39:48,040 Speaker 15: starting to transition to a voltage transformer supply. If you 794 00:39:48,080 --> 00:39:50,440 Speaker 15: look out a year or two or certainly three years, 795 00:39:51,200 --> 00:39:58,600 Speaker 15: it's just electricity availability. So those constraints in the hardware. 796 00:39:58,400 --> 00:40:02,280 Speaker 2: Side, you know, musk they're talking about chip supply shortage 797 00:40:02,320 --> 00:40:04,719 Speaker 2: and the AI space in particular. Of course Tesla and 798 00:40:04,800 --> 00:40:07,680 Speaker 2: AI Player, but so too is now Grok, which is developing. 799 00:40:08,560 --> 00:40:11,600 Speaker 2: He was speaking on X yesterday with Nikolai Tangan is 800 00:40:11,600 --> 00:40:14,360 Speaker 2: the CEO of Norgebag Investment Management. It manages about one 801 00:40:14,360 --> 00:40:17,040 Speaker 2: point six trillion dollars in fact, in fact as the 802 00:40:17,080 --> 00:40:19,760 Speaker 2: largest single owner of the world stock markets. Musk actually 803 00:40:19,760 --> 00:40:22,000 Speaker 2: began the live discussion by talking. 804 00:40:21,880 --> 00:40:23,680 Speaker 5: Up how well the service worked. 805 00:40:24,000 --> 00:40:26,640 Speaker 2: Pretty soon the audio cut out on X and it 806 00:40:26,640 --> 00:40:29,200 Speaker 2: happened again and again and going to we'll have to 807 00:40:29,239 --> 00:40:31,080 Speaker 2: dig into it with Blueberg's BusinessWeek. 808 00:40:30,680 --> 00:40:31,760 Speaker 3: Columist Max Chafkin. 809 00:40:32,160 --> 00:40:35,800 Speaker 2: I mean, aside from technical glitches, Max, what was the 810 00:40:35,880 --> 00:40:37,680 Speaker 2: key takeaway you think from that conversation. 811 00:40:38,040 --> 00:40:40,600 Speaker 16: I mean, you know, Elon Musk has been in this 812 00:40:40,640 --> 00:40:43,200 Speaker 16: conversation a couple other forums over the last week, been 813 00:40:43,239 --> 00:40:46,760 Speaker 16: painting a very sunny picture of AI, particularly around Tesla, 814 00:40:46,800 --> 00:40:48,040 Speaker 16: and as we heard here Grok. 815 00:40:48,280 --> 00:40:49,920 Speaker 5: You know, he also, in addition to. 816 00:40:49,880 --> 00:40:52,719 Speaker 16: Saying like we're getting past these chips shortages as you 817 00:40:52,840 --> 00:40:55,520 Speaker 16: just heard, he said that they are using a huge 818 00:40:55,600 --> 00:40:58,479 Speaker 16: number of Nvidia chips on the next version of GROC, 819 00:40:58,520 --> 00:41:00,840 Speaker 16: which he also talked up. I believe he said twenty thousand, 820 00:41:01,719 --> 00:41:04,280 Speaker 16: h one hundred chips, which you know, that's an insane 821 00:41:04,320 --> 00:41:06,440 Speaker 16: amount of money. That's you know, each one of those 822 00:41:06,480 --> 00:41:09,560 Speaker 16: chips is between like ten and fifteen thousand dollars, So 823 00:41:09,560 --> 00:41:11,400 Speaker 16: it's a it's a huge sum of money. And I 824 00:41:11,440 --> 00:41:15,160 Speaker 16: think the real question is how does grock XAI, which 825 00:41:15,200 --> 00:41:18,359 Speaker 16: is Elon Musk's AI venture, how does it? How does 826 00:41:18,360 --> 00:41:21,800 Speaker 16: he finance it? Does he raise outside capital? Does he 827 00:41:22,000 --> 00:41:25,120 Speaker 16: somehow does it somehow get closer to Tesla or closer 828 00:41:25,160 --> 00:41:28,479 Speaker 16: to Twitter now now called X. I think that's one 829 00:41:28,520 --> 00:41:31,799 Speaker 16: big question because these large language models, as people know, 830 00:41:32,160 --> 00:41:35,719 Speaker 16: are not inexpensive to train, and they are and they 831 00:41:35,760 --> 00:41:37,280 Speaker 16: are not inexpensive to run. 832 00:41:37,800 --> 00:41:39,399 Speaker 3: Elon's in damage control right now. 833 00:41:39,840 --> 00:41:44,680 Speaker 16: Yeah, so we heard last week some really discouraging sales 834 00:41:44,680 --> 00:41:47,640 Speaker 16: figures which Musk had kind of previewed, and then you 835 00:41:47,800 --> 00:41:50,920 Speaker 16: had a report from Reuters saying that the model too, 836 00:41:51,120 --> 00:41:55,399 Speaker 16: that's the inexpensive electric vehicle, was killed by Elon Musk. 837 00:41:55,440 --> 00:41:58,120 Speaker 16: Elon Musk has disputed that, but he's sort of been 838 00:41:58,320 --> 00:42:02,759 Speaker 16: edging towards a chain an emphasis in ESSENTI saying no, 839 00:42:03,320 --> 00:42:08,400 Speaker 16: we're prioritizing the Robotaxi, which is this almost mythical product 840 00:42:08,480 --> 00:42:10,800 Speaker 16: that he has been talking about for almost a decade 841 00:42:11,040 --> 00:42:13,879 Speaker 16: and yet, on the other hand, does hold a lot 842 00:42:13,880 --> 00:42:16,320 Speaker 16: of promise. You know, the people who are really bullish 843 00:42:16,360 --> 00:42:19,480 Speaker 16: on Tesla see this as the key to justifying the valuation, 844 00:42:19,560 --> 00:42:22,400 Speaker 16: so you can kind of understand the strategy shift. 845 00:42:22,719 --> 00:42:24,239 Speaker 3: Max Chafkin, we thank him. 846 00:42:24,440 --> 00:42:27,319 Speaker 2: This is blem back technology.