1 00:00:02,520 --> 00:00:13,440 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is live 2 00:00:13,480 --> 00:00:17,320 Speaker 1: from coast to coast with Caroline Hide in New York 3 00:00:17,560 --> 00:00:19,560 Speaker 1: and ever Low in San Francisco. 4 00:00:22,760 --> 00:00:24,520 Speaker 2: This is Bloomberg Tech coming up. 5 00:00:24,600 --> 00:00:27,840 Speaker 3: Open AI execs U turn and David Sachs says no 6 00:00:28,400 --> 00:00:31,280 Speaker 3: on a federal backstop to fund AI infrastructure. 7 00:00:31,320 --> 00:00:35,800 Speaker 4: Markets react, Plus Mosk's one trillion dollar compensation package gets 8 00:00:35,800 --> 00:00:39,080 Speaker 4: approved by TESLRA investors seventy five percent of votes cast 9 00:00:39,120 --> 00:00:39,560 Speaker 4: in favor. 10 00:00:39,600 --> 00:00:42,559 Speaker 5: We dig into the bold new promises and we. 11 00:00:42,560 --> 00:00:45,040 Speaker 3: Break down more tech earnings with the CEOs of a 12 00:00:45,159 --> 00:00:46,520 Speaker 3: firm and draftings. 13 00:00:46,720 --> 00:00:49,720 Speaker 4: Later this hour, we go to these markets, though in 14 00:00:49,800 --> 00:00:52,400 Speaker 4: sell off mode ed on the day and on the week. 15 00:00:52,479 --> 00:00:54,440 Speaker 4: Over the past five days, we've shed more than four 16 00:00:54,480 --> 00:00:57,280 Speaker 4: percent in market capitalization. It is the worst weeks in 17 00:00:57,400 --> 00:00:58,800 Speaker 4: April of the NASDAT. 18 00:00:58,440 --> 00:01:00,600 Speaker 5: One hundred, and anxiety is. 19 00:01:00,600 --> 00:01:03,520 Speaker 4: Really building when it comes to AI infrastructure and whether 20 00:01:03,520 --> 00:01:05,000 Speaker 4: people have got the money you're digging into it. 21 00:01:05,760 --> 00:01:08,200 Speaker 3: Yeah, here's a story that's played out driving markets. We 22 00:01:08,280 --> 00:01:12,080 Speaker 3: begin with open AI and Wall streaks, anxiety that followed 23 00:01:12,120 --> 00:01:15,200 Speaker 3: fresh comments about potential government financing in. 24 00:01:15,160 --> 00:01:15,880 Speaker 2: The AI race. 25 00:01:15,920 --> 00:01:19,240 Speaker 3: Speaking at The Wall Street Journal's Tech conference This Wednesday, 26 00:01:19,520 --> 00:01:24,120 Speaker 3: Open Ai CFO Sarah Fryer called investors' attention after hinting 27 00:01:24,560 --> 00:01:28,080 Speaker 3: at a potential government backstop for AI chip investment, to 28 00:01:28,160 --> 00:01:32,160 Speaker 3: remark interpreted by some as Friar signaling open Ai had 29 00:01:32,240 --> 00:01:36,440 Speaker 3: federal guarantees for the costly infrastructure behind large AI models. 30 00:01:36,640 --> 00:01:39,399 Speaker 3: David Sachs the White House, AI and cryptos are seem 31 00:01:39,440 --> 00:01:42,800 Speaker 3: to be paying attention and posted on X Thursday there 32 00:01:42,840 --> 00:01:45,680 Speaker 3: will be no federal bailout for AI. The US has 33 00:01:45,720 --> 00:01:49,160 Speaker 3: at least five major frontier model companies. If one fails, 34 00:01:49,520 --> 00:01:52,960 Speaker 3: others will take its place. That in turn prompted open 35 00:01:53,000 --> 00:01:58,360 Speaker 3: ai CEO Sam Altman to step in and clarify on X, writing, 36 00:01:58,600 --> 00:02:01,800 Speaker 3: we do not have or want government guarantees for open 37 00:02:01,840 --> 00:02:05,680 Speaker 3: ai data centers, emphasizing that the company is not seeking 38 00:02:05,880 --> 00:02:09,720 Speaker 3: a federal safety net. Let's get the latest. Bloomberg's AI 39 00:02:09,840 --> 00:02:12,639 Speaker 3: editor Seth Figgerman joins us, Now, where do we stand? 40 00:02:12,880 --> 00:02:16,240 Speaker 3: This is a multi day story, markets paid attention to it. 41 00:02:16,560 --> 00:02:19,200 Speaker 2: What's the net result? At least from open AI's perspective. 42 00:02:19,680 --> 00:02:23,160 Speaker 6: Funny here, Ergre, is that really the intention behind Sarah 43 00:02:23,160 --> 00:02:26,160 Speaker 6: Friar's overall remarks of that event was to kind of 44 00:02:26,240 --> 00:02:29,440 Speaker 6: calm people's nerves about what has felt like growing anxiety 45 00:02:29,520 --> 00:02:33,560 Speaker 6: this week on the markets about AI spending, and instead 46 00:02:33,600 --> 00:02:36,239 Speaker 6: the takeaway was what felt like an off the cuff 47 00:02:36,280 --> 00:02:39,600 Speaker 6: and vagrant mark that just heightened those concerns. I think 48 00:02:39,639 --> 00:02:42,200 Speaker 6: where things currently stand as the company has repeated up 49 00:02:42,240 --> 00:02:45,160 Speaker 6: and down that there's no discussions or plans for any 50 00:02:45,240 --> 00:02:48,399 Speaker 6: kind of federal backstop. Instead, they're hinting at, well, maybe 51 00:02:48,440 --> 00:02:51,359 Speaker 6: there's a role for government to invest in its own 52 00:02:51,400 --> 00:02:54,120 Speaker 6: AI infrastructure that might somehow reduce some of the capital 53 00:02:54,120 --> 00:02:57,360 Speaker 6: burdens here or other indirect ways in which government could 54 00:02:57,520 --> 00:03:01,160 Speaker 6: help the wider market. But advice to say, the message 55 00:03:01,160 --> 00:03:03,520 Speaker 6: that she intended to deliver seems to have been completely lost. 56 00:03:03,919 --> 00:03:07,240 Speaker 4: Sam Altman went to great lengths to try and reverse 57 00:03:07,400 --> 00:03:10,000 Speaker 4: or to correct in whatever way make clear, and talked 58 00:03:10,000 --> 00:03:13,480 Speaker 4: about maybe chip manufacturing, if they went into fabrication of chips, 59 00:03:13,639 --> 00:03:15,359 Speaker 4: that might be an area that they lean on for 60 00:03:15,560 --> 00:03:18,640 Speaker 4: government input. But what's interesting is we then look at 61 00:03:18,639 --> 00:03:21,080 Speaker 4: that piece from sam Altman saying that basically they've got 62 00:03:21,120 --> 00:03:24,679 Speaker 4: one point four trillion dollars of commitments. This is where 63 00:03:24,680 --> 00:03:27,040 Speaker 4: the market's trying to rab its head around how can 64 00:03:27,080 --> 00:03:29,440 Speaker 4: they afford that, he's saying, they feel good about their 65 00:03:29,440 --> 00:03:30,720 Speaker 4: prospects for revenue growth. 66 00:03:31,000 --> 00:03:32,880 Speaker 6: They've big on the defense about this a little bit 67 00:03:32,960 --> 00:03:35,240 Speaker 6: in recent days, including on a recent podcast where Altman's 68 00:03:35,240 --> 00:03:37,760 Speaker 6: seemed taken off guard to even be asked that question. 69 00:03:37,840 --> 00:03:40,520 Speaker 6: What he's trying to stress here is that our revenue 70 00:03:40,560 --> 00:03:42,960 Speaker 6: is growing much faster than anyone has expected, you know, 71 00:03:43,000 --> 00:03:46,120 Speaker 6: on pace for twenty billion and annualized run ray, and 72 00:03:46,160 --> 00:03:48,080 Speaker 6: that we expect that these commitments over a seven or 73 00:03:48,080 --> 00:03:51,040 Speaker 6: eight year time period are more than achievable based on 74 00:03:51,120 --> 00:03:53,760 Speaker 6: that revenue growth that I think the overall market is 75 00:03:53,800 --> 00:03:57,320 Speaker 6: looking at AI spending generally, Mega shares had their worst 76 00:03:57,320 --> 00:04:00,600 Speaker 6: four day routes since chatgybut launched three years ago. You know, 77 00:04:00,680 --> 00:04:04,840 Speaker 6: chipstocks are seeing slump right now on valuation concerns. Michael 78 00:04:04,880 --> 00:04:07,640 Speaker 6: Burry is getting out there the one predicted the housing 79 00:04:08,120 --> 00:04:11,080 Speaker 6: bubble and and basically pointing out to our graphic on 80 00:04:11,200 --> 00:04:14,560 Speaker 6: uncircular investments that's center around opening eye across the industry 81 00:04:14,680 --> 00:04:17,240 Speaker 6: and the markets. There's just really heighten concerned how achievable 82 00:04:17,360 --> 00:04:18,719 Speaker 6: and sustainable the spending is. 83 00:04:19,240 --> 00:04:22,080 Speaker 4: Megs sethimgan breaking all down. We thank you so much 84 00:04:22,120 --> 00:04:25,440 Speaker 4: happy weekend. Now we're also watching shares of Nvidia. That's 85 00:04:25,480 --> 00:04:28,440 Speaker 4: after its CEO Jensen Wang said that the company isn't 86 00:04:28,600 --> 00:04:31,120 Speaker 4: in active discussions to sell its Blackwell AI chips to 87 00:04:31,200 --> 00:04:34,520 Speaker 4: Chinese firms, waving off that speculation that it's trying to 88 00:04:34,560 --> 00:04:38,480 Speaker 4: engineer a return to the world's largest chip maker market. Indeed, 89 00:04:38,640 --> 00:04:41,600 Speaker 4: Quang explained that he merely intended to point out China's 90 00:04:41,640 --> 00:04:45,240 Speaker 4: prowess in AI when he said, quote China will win 91 00:04:45,800 --> 00:04:47,919 Speaker 4: the US China AI race ed. 92 00:04:49,120 --> 00:04:52,440 Speaker 3: Let's look at shares of Tesla down almost four percent. 93 00:04:53,160 --> 00:04:57,039 Speaker 3: More than seventy five percent of votes from shareholders were 94 00:04:57,080 --> 00:05:01,839 Speaker 3: in favor approving the one trillion dollar compensation package for 95 00:05:01,880 --> 00:05:04,760 Speaker 3: Elon Musk that is over ten years and has a 96 00:05:04,880 --> 00:05:08,520 Speaker 3: very strong set of mandatory milestones he needs to achieve 97 00:05:08,800 --> 00:05:11,560 Speaker 3: to unlock the comp but also the voting power that 98 00:05:11,600 --> 00:05:15,040 Speaker 3: comes with it. Let's talk about that with Alexandra Mertz. 99 00:05:15,040 --> 00:05:18,440 Speaker 3: She's the CEO of LLENF Investor Services, but also a 100 00:05:18,520 --> 00:05:22,359 Speaker 3: Tesla shareholder who discusses her views about Tesla on social 101 00:05:22,400 --> 00:05:25,520 Speaker 3: media under the handle Tesla boomer Mamma Mertz was present 102 00:05:26,000 --> 00:05:28,960 Speaker 3: at the shareholder meeting last night. Was also acknowledged by 103 00:05:29,040 --> 00:05:32,440 Speaker 3: other shareholders who are reading out a proposal for Tesla 104 00:05:32,480 --> 00:05:34,400 Speaker 3: to invest in Xai, which we'll get to. 105 00:05:36,279 --> 00:05:36,919 Speaker 2: Alexandra. 106 00:05:38,080 --> 00:05:40,599 Speaker 3: This paves a way for Elon Musk to take his 107 00:05:40,680 --> 00:05:44,200 Speaker 3: stake in Tesla to twenty five percent over the course 108 00:05:44,200 --> 00:05:46,960 Speaker 3: of the ten years. Could you just explain what the 109 00:05:47,000 --> 00:05:50,680 Speaker 3: sentiment was like last night into this morning about how 110 00:05:50,720 --> 00:05:54,560 Speaker 3: comfortable investors feel handing over that control to Elon Musk 111 00:05:54,920 --> 00:05:56,840 Speaker 3: and the belief that you do or do not have 112 00:05:56,920 --> 00:05:59,400 Speaker 3: that he can hit the milestones that have been set 113 00:05:59,400 --> 00:05:59,960 Speaker 3: for him by the. 114 00:06:02,000 --> 00:06:04,880 Speaker 7: Oh I'm very confident that he will hit the milestones. 115 00:06:05,240 --> 00:06:08,920 Speaker 7: Has shown us before what is possible. Nothing's never easy, 116 00:06:09,520 --> 00:06:12,800 Speaker 7: but if you set goals to Elon, he's very competitive. 117 00:06:12,839 --> 00:06:18,279 Speaker 7: He's obviously, in my views, the best executor there is 118 00:06:18,320 --> 00:06:19,360 Speaker 7: on this planet, and. 119 00:06:19,320 --> 00:06:20,440 Speaker 5: He will execute. 120 00:06:20,600 --> 00:06:23,080 Speaker 7: So that's not the question. The question is whether we 121 00:06:23,120 --> 00:06:28,159 Speaker 7: would get sufficient retail and institutional shareholder support, and we 122 00:06:28,200 --> 00:06:32,120 Speaker 7: should it. Seventy five percent is astoundingly high. It is 123 00:06:32,279 --> 00:06:36,120 Speaker 7: higher than the previous compensation packages votes and revotes in 124 00:06:36,120 --> 00:06:39,719 Speaker 7: twenty eighteen and twenty twenty four. So this was a 125 00:06:39,880 --> 00:06:42,880 Speaker 7: clear victory. I am so grateful for everybody who voted. 126 00:06:43,520 --> 00:06:45,599 Speaker 7: I would like to see the twenty five percent that 127 00:06:45,720 --> 00:06:49,200 Speaker 7: voted against it, because how can you be against this 128 00:06:49,360 --> 00:06:50,520 Speaker 7: if you are a shareholder. 129 00:06:50,720 --> 00:06:51,760 Speaker 2: But that's more of the topic. 130 00:06:53,200 --> 00:06:56,159 Speaker 3: For example, we had the investment director of Calper's on 131 00:06:56,160 --> 00:07:00,400 Speaker 3: the show yesterday. CalPERS voted no, and the rationale was 132 00:07:00,520 --> 00:07:03,960 Speaker 3: that in aggregate they saw Elon Musk and board members 133 00:07:03,960 --> 00:07:07,479 Speaker 3: already having sixteen percent of the company and. 134 00:07:07,600 --> 00:07:09,279 Speaker 2: The issue of key man risk. 135 00:07:09,600 --> 00:07:12,480 Speaker 3: So if Musk does get there right and achieves twenty 136 00:07:12,480 --> 00:07:16,280 Speaker 3: five percent stake, what if he something happens to him, 137 00:07:16,680 --> 00:07:21,360 Speaker 3: or what if something distracts him XAI SpaceX for example. 138 00:07:21,440 --> 00:07:24,000 Speaker 3: That was the concern they had. Why don't you share 139 00:07:24,000 --> 00:07:24,520 Speaker 3: the concern? 140 00:07:25,800 --> 00:07:28,600 Speaker 7: Well, first of all, that's the same concern at sixteen 141 00:07:28,600 --> 00:07:32,240 Speaker 7: percent or twenty five percent, right, So that Culpers argument 142 00:07:32,480 --> 00:07:36,679 Speaker 7: is just nonexistent, even though it's a nice world word salad. 143 00:07:36,760 --> 00:07:38,520 Speaker 7: There is no doubt in my mind that that's what 144 00:07:38,600 --> 00:07:43,040 Speaker 7: they try to do. It's not an issue about whether 145 00:07:43,560 --> 00:07:44,880 Speaker 7: he as a key man. 146 00:07:45,160 --> 00:07:45,760 Speaker 2: Is a risk. 147 00:07:46,000 --> 00:07:48,280 Speaker 7: To test that he is the same way he is 148 00:07:48,320 --> 00:07:51,000 Speaker 7: the key person, he's also the key man risk. That 149 00:07:51,160 --> 00:07:55,120 Speaker 7: is just a fact and actually part of the structure 150 00:07:55,280 --> 00:07:58,160 Speaker 7: of this compensation plan addresses that as the last two 151 00:07:58,280 --> 00:08:01,920 Speaker 7: tranches are linked to a succession plan, to a more 152 00:08:02,000 --> 00:08:04,680 Speaker 7: formal succession plan, that what is currently in place. So 153 00:08:04,760 --> 00:08:06,680 Speaker 7: sixteen or twenty five percent, that's not a question. But 154 00:08:06,720 --> 00:08:12,200 Speaker 7: at twenty five percent, Elon is sufficiently strong to prevent 155 00:08:12,440 --> 00:08:17,280 Speaker 7: activist shareholders trying to take over, bringing board members in 156 00:08:17,320 --> 00:08:20,040 Speaker 7: that are not aligned with Tesla's mission. And I think 157 00:08:20,120 --> 00:08:22,840 Speaker 7: that is the key point. Retail has always stood with 158 00:08:23,480 --> 00:08:27,400 Speaker 7: Elon and has always been very active. Knows what this 159 00:08:27,520 --> 00:08:30,240 Speaker 7: company is about, so that is not the concern. But 160 00:08:30,320 --> 00:08:34,679 Speaker 7: it is institutional institutional funds that are in Tesla, despite 161 00:08:34,720 --> 00:08:36,760 Speaker 7: the fact that they don't really like the company, don't 162 00:08:36,840 --> 00:08:40,520 Speaker 7: understand the company, vote against interest of the company, and 163 00:08:40,880 --> 00:08:44,120 Speaker 7: that can become stronger just by the pure mechanism of 164 00:08:44,160 --> 00:08:47,679 Speaker 7: index funds of political activism. And he wants to make 165 00:08:47,720 --> 00:08:49,920 Speaker 7: sure that that can be prevented. And he's right, and 166 00:08:49,960 --> 00:08:52,360 Speaker 7: the fact of being in Texas helps a lot. But 167 00:08:52,559 --> 00:08:54,800 Speaker 7: him getting to twenty five percent obviously. 168 00:08:54,400 --> 00:08:55,080 Speaker 5: Is a good shield. 169 00:08:55,440 --> 00:08:59,240 Speaker 4: But that's exactly the worry is that he does get 170 00:08:59,360 --> 00:09:03,559 Speaker 4: the twenty five percent control and can fend off activism 171 00:09:03,679 --> 00:09:07,360 Speaker 4: that might be in some way trying to course correct 172 00:09:07,520 --> 00:09:11,559 Speaker 4: as others feel outside of Tesla. Why is that You're 173 00:09:11,600 --> 00:09:14,400 Speaker 4: saying it's a word salad, But for many that's exactly 174 00:09:14,440 --> 00:09:18,160 Speaker 4: the fear that he has control over what he calls 175 00:09:18,240 --> 00:09:19,120 Speaker 4: a robot army. 176 00:09:20,559 --> 00:09:23,520 Speaker 7: I understand that, I understand that there is a fear. 177 00:09:23,800 --> 00:09:28,520 Speaker 7: But ask those activists what is their idea about Tesla? 178 00:09:28,600 --> 00:09:31,000 Speaker 7: What is their idea about the better world? They never 179 00:09:31,080 --> 00:09:33,480 Speaker 7: talk about that. They talk about the fact that they 180 00:09:33,520 --> 00:09:37,040 Speaker 7: fear Elon is too powerful. They never talk about what 181 00:09:37,120 --> 00:09:40,520 Speaker 7: Tesla is all about. I never hear a culpers or 182 00:09:41,400 --> 00:09:45,200 Speaker 7: god forbid, a Klaus lewis Iss or the New York 183 00:09:45,240 --> 00:09:48,480 Speaker 7: Controller talk about the mission of Tesla, talk about where 184 00:09:48,520 --> 00:09:52,880 Speaker 7: Tesla is going. And you know, I rather, as a shareholder, 185 00:09:53,080 --> 00:09:56,400 Speaker 7: have Elons have the keys to an army of bots 186 00:09:56,400 --> 00:09:59,400 Speaker 7: than anybody else, including the four companies I just mentioned. 187 00:10:00,840 --> 00:10:02,280 Speaker 5: We'll put that too coveries. 188 00:10:02,280 --> 00:10:04,760 Speaker 4: I feel that he in many ways was trying to 189 00:10:04,840 --> 00:10:07,560 Speaker 4: articulate that they are about the long term vision, whether 190 00:10:07,600 --> 00:10:11,440 Speaker 4: it's about electric vehicles, whether it's about supporting the climate, 191 00:10:11,480 --> 00:10:14,240 Speaker 4: whether it's about humanoid robots. They just don't think that 192 00:10:14,280 --> 00:10:20,040 Speaker 4: perhaps another CEO couldn't achieve really significant phenomenal growth. 193 00:10:19,720 --> 00:10:20,440 Speaker 5: For this business. 194 00:10:20,480 --> 00:10:23,560 Speaker 4: Even if it wasn't Enon Musk, Why is he alone 195 00:10:24,160 --> 00:10:28,280 Speaker 4: the only person who could meet these milestones and drive 196 00:10:28,600 --> 00:10:29,400 Speaker 4: optimists to. 197 00:10:29,360 --> 00:10:30,640 Speaker 5: Be on the moon on Mars? 198 00:10:30,679 --> 00:10:32,600 Speaker 4: I mean that seemed to be the next area of growth. 199 00:10:32,640 --> 00:10:34,200 Speaker 4: Was that what you wanted to hear that we're going 200 00:10:34,240 --> 00:10:37,320 Speaker 4: to have optimists doing surgery but also eventually going to Mars. 201 00:10:38,080 --> 00:10:40,199 Speaker 7: Yes, we should do. We should want to hear that. 202 00:10:40,280 --> 00:10:45,240 Speaker 7: We also were absolutely excited thinking about chip manufacturing. I 203 00:10:45,240 --> 00:10:47,720 Speaker 7: don't think that has really gotten through yet to the press, 204 00:10:47,840 --> 00:10:49,600 Speaker 7: and I Holp Bloomberg is going to talk about it. 205 00:10:49,679 --> 00:10:53,320 Speaker 7: If Tesla goes into chip manufacturing, can you imagine? So 206 00:10:53,640 --> 00:10:56,880 Speaker 7: I would like to ask culpers, show me one other 207 00:10:57,000 --> 00:11:00,000 Speaker 7: CEO would it even have for what Elon has accomplished? 208 00:11:00,520 --> 00:11:02,200 Speaker 7: If you show me one where you would have the 209 00:11:02,240 --> 00:11:07,079 Speaker 7: feeling that that person could do something even comparable. I 210 00:11:07,160 --> 00:11:09,040 Speaker 7: am ready to sit down and discuss it with him, 211 00:11:09,040 --> 00:11:10,520 Speaker 7: but we've got to wait for a long time. 212 00:11:11,600 --> 00:11:13,640 Speaker 3: Alexandro I would push back a little bit because I 213 00:11:13,720 --> 00:11:17,440 Speaker 3: wrote the story about Elon's comments from the Earning School 214 00:11:17,679 --> 00:11:21,800 Speaker 3: about clarifying the Samsung TSMC relationship, and I sent the 215 00:11:21,800 --> 00:11:25,640 Speaker 3: headline last night about his comments on chip manufacturing. So 216 00:11:25,640 --> 00:11:27,280 Speaker 3: I'm going to look into it. I need to ask 217 00:11:27,280 --> 00:11:30,719 Speaker 3: you about Xai. You were in the room and were 218 00:11:30,720 --> 00:11:33,880 Speaker 3: waiting on the eight K. What appeared to happen was 219 00:11:33,920 --> 00:11:37,040 Speaker 3: Brendan Arhart, the corporate secretary, say, there were more four 220 00:11:37,120 --> 00:11:40,839 Speaker 3: votes than against, but a very large number of abstentions, 221 00:11:40,920 --> 00:11:45,160 Speaker 3: and so they're basically reserving the right to wait, look 222 00:11:45,160 --> 00:11:48,120 Speaker 3: at the non binding proposal and go back to it. 223 00:11:48,160 --> 00:11:51,160 Speaker 3: Is that your understanding of where things stand, and also 224 00:11:51,240 --> 00:11:54,080 Speaker 3: just your reaction to it because you were involved in 225 00:11:54,080 --> 00:11:56,240 Speaker 3: the process of getting that proposal on the docket. 226 00:11:56,720 --> 00:11:59,959 Speaker 7: Yes, yes, well, thank you very much. Yes, very good question. 227 00:12:00,120 --> 00:12:01,720 Speaker 7: And as you point out, we haven't seen the eight 228 00:12:01,800 --> 00:12:04,000 Speaker 7: K yet, so I don't have the underlying numbers, but 229 00:12:04,080 --> 00:12:09,559 Speaker 7: I know exactly what happened. The's recommendation was neutral. They 230 00:12:09,559 --> 00:12:14,160 Speaker 7: did not give a recommendation. Lots of retail shareholders just 231 00:12:14,360 --> 00:12:18,000 Speaker 7: follow blindly the board's recommendation. So by going after the 232 00:12:18,040 --> 00:12:22,080 Speaker 7: board's recommendation instead of voting none, they abstained. That is 233 00:12:22,120 --> 00:12:24,800 Speaker 7: the logical way, and that's actually how it is automated. 234 00:12:25,080 --> 00:12:27,640 Speaker 7: We had this issue with a Norwegian bank who gave 235 00:12:27,679 --> 00:12:31,720 Speaker 7: their shareholders only a certain limited number of options to vote, 236 00:12:31,800 --> 00:12:35,160 Speaker 7: and then the shareholders from Norway, which are very numerous interests, 237 00:12:35,200 --> 00:12:37,760 Speaker 7: I could not vote for question six. They were abstaining. 238 00:12:38,240 --> 00:12:42,280 Speaker 7: So abstaining was also just a consequence of the way 239 00:12:42,520 --> 00:12:45,160 Speaker 7: the proxy was laid out, and there was no better choice. 240 00:12:45,200 --> 00:12:47,600 Speaker 7: It was a bad choice to not be able to 241 00:12:47,600 --> 00:12:49,960 Speaker 7: give a guidance, but there was another choice. Because what 242 00:12:50,080 --> 00:12:52,560 Speaker 7: the board is trying to do here, and we have 243 00:12:52,600 --> 00:12:56,000 Speaker 7: to understand why that is, is to stay out of 244 00:12:56,040 --> 00:12:59,079 Speaker 7: it until they get a clear mission from the shareholders. 245 00:13:00,040 --> 00:13:01,600 Speaker 7: Why are they doing that well, because it is a 246 00:13:01,640 --> 00:13:05,080 Speaker 7: conflicted situation. Elon is the key man in both Xai 247 00:13:05,120 --> 00:13:08,680 Speaker 7: and Tesla, and as Solar City has shown us, it 248 00:13:08,800 --> 00:13:12,800 Speaker 7: is always difficult to invest from one company A into 249 00:13:12,800 --> 00:13:14,920 Speaker 7: a company B that are both led by the same 250 00:13:15,120 --> 00:13:17,320 Speaker 7: by the same key person. So the board tries to 251 00:13:17,520 --> 00:13:20,240 Speaker 7: stay out of it until there is a clear mission. 252 00:13:20,240 --> 00:13:22,440 Speaker 7: Now we have to see the eight K numbers to 253 00:13:22,559 --> 00:13:25,800 Speaker 7: understand whether this is now a clear call from shareholders 254 00:13:25,840 --> 00:13:28,320 Speaker 7: to do it. If there were so many stains, it 255 00:13:28,360 --> 00:13:30,839 Speaker 7: may not be. But you also have to know that 256 00:13:30,880 --> 00:13:35,199 Speaker 7: this shareholder proposal number seven was always only advisory. It 257 00:13:35,240 --> 00:13:39,160 Speaker 7: was never that this vote would have been an automatic investment. 258 00:13:39,679 --> 00:13:42,439 Speaker 7: If the board now convinced that they want to invest, 259 00:13:42,520 --> 00:13:45,760 Speaker 7: we will certainly have another shareholder vote on the exact 260 00:13:45,800 --> 00:13:48,640 Speaker 7: proposal of investment, not just on the general idea. 261 00:13:49,200 --> 00:13:52,160 Speaker 4: Pushing us forward and with great energy after what was 262 00:13:52,320 --> 00:13:55,640 Speaker 4: a pretty extraordinary day the annual General Meeting yesterday. You 263 00:13:55,679 --> 00:13:58,480 Speaker 4: were there, We saw all the dancing. Alexandra maz We 264 00:13:58,559 --> 00:14:00,840 Speaker 4: love catching up with you. Thank you, a shareholder known 265 00:14:00,880 --> 00:14:01,760 Speaker 4: non social. 266 00:14:01,720 --> 00:14:02,800 Speaker 5: As Tesla Booma Mamma. 267 00:14:03,480 --> 00:14:07,600 Speaker 4: Now coming up, Grand Theft Auto six, it hits another 268 00:14:07,679 --> 00:14:10,080 Speaker 4: bump in the road. We'll discuss why the latest title 269 00:14:10,080 --> 00:14:12,880 Speaker 4: in the popular video game franchise is being delayed again. 270 00:14:13,480 --> 00:14:14,520 Speaker 5: This is a Bloomberg Tech. 271 00:14:21,360 --> 00:14:24,760 Speaker 4: Srees of Take two having their worst day since February 272 00:14:24,800 --> 00:14:28,360 Speaker 4: twenty twenty four, down almost eight percent. Yesterday, the video 273 00:14:28,360 --> 00:14:30,960 Speaker 4: game publisher pushed back the release of Grand Theft Auto 274 00:14:31,080 --> 00:14:34,760 Speaker 4: Six again until November twenty twenty six. Let's walk through 275 00:14:34,760 --> 00:14:37,880 Speaker 4: this of Bluebog's games reporter Jason Schreier. Basically, it's going 276 00:14:37,960 --> 00:14:40,880 Speaker 4: to be a year late. Now, Why this second pushback? 277 00:14:40,920 --> 00:14:42,040 Speaker 4: What's going on with Rock Start? 278 00:14:43,440 --> 00:14:43,680 Speaker 2: Yeah? 279 00:14:43,720 --> 00:14:46,200 Speaker 8: I mean video games are complicated. To make this is 280 00:14:46,480 --> 00:14:48,280 Speaker 8: going to be one of the biggest video games of 281 00:14:48,320 --> 00:14:53,440 Speaker 8: all time, will probably be the best selling entertainment product 282 00:14:53,640 --> 00:14:56,280 Speaker 8: of all time, and so the pressure is very high 283 00:14:56,400 --> 00:14:58,920 Speaker 8: Rockstar and take two. They want this game to be 284 00:14:59,040 --> 00:15:02,800 Speaker 8: as perfect as part. They wanted to hit ninety five 285 00:15:03,000 --> 00:15:07,600 Speaker 8: plus in Metacritic, that's the review score aggregator. And yeah, 286 00:15:07,760 --> 00:15:08,440 Speaker 8: in these games the. 287 00:15:08,600 --> 00:15:12,120 Speaker 3: Time I get that, you know, wanting to hit ninety 288 00:15:12,120 --> 00:15:14,800 Speaker 3: five plus on Metacritic. What you just said about it 289 00:15:14,880 --> 00:15:20,400 Speaker 3: probably being the biggest entertainment title to sell of all time, 290 00:15:20,960 --> 00:15:24,760 Speaker 3: go back to GTA five and explain the data that 291 00:15:24,880 --> 00:15:27,720 Speaker 3: tells us this might be worth waiting for. From Take 292 00:15:27,760 --> 00:15:29,920 Speaker 3: Two's perspective, they want to get this right. From a 293 00:15:29,960 --> 00:15:31,040 Speaker 3: sales point of view. 294 00:15:32,160 --> 00:15:35,040 Speaker 8: Yeah, there's a simple number here, which is that GTA five, 295 00:15:35,120 --> 00:15:36,880 Speaker 8: the last game in the series, which was released in 296 00:15:36,920 --> 00:15:42,040 Speaker 8: twenty thirteen, has sold two hundred and twenty million units, 297 00:15:42,240 --> 00:15:45,080 Speaker 8: which I mean, that's more. This one game alone has 298 00:15:45,120 --> 00:15:49,920 Speaker 8: sold more than most franchises Final Fantasy Assassin's Creed. This 299 00:15:50,040 --> 00:15:52,600 Speaker 8: makes it the second best selling game of all time, 300 00:15:52,760 --> 00:15:56,120 Speaker 8: only only second to Minecraft, which was released on phone. 301 00:15:56,200 --> 00:15:58,760 Speaker 8: So that's kind of a different a different playing field. 302 00:15:58,880 --> 00:16:00,840 Speaker 8: So yeah, I mean, the sixth are very high. And 303 00:16:00,920 --> 00:16:05,000 Speaker 8: again I think that people tend to underestimate how difficult 304 00:16:05,120 --> 00:16:08,080 Speaker 8: it is to make games, especially a game as big 305 00:16:08,120 --> 00:16:13,160 Speaker 8: and ambitions and technologically impressive as this one. I mean, 306 00:16:13,200 --> 00:16:14,520 Speaker 8: we've seen the trailers, We've seen what. 307 00:16:14,480 --> 00:16:15,000 Speaker 2: It looks like. 308 00:16:15,080 --> 00:16:17,280 Speaker 8: It looks more realistic than any game we've ever seen. 309 00:16:17,320 --> 00:16:20,200 Speaker 8: It's going to have a huge open world. The people 310 00:16:20,200 --> 00:16:22,280 Speaker 8: at Rucks are just are still working on it, still 311 00:16:22,320 --> 00:16:25,320 Speaker 8: making new stuff for it, still building this world and 312 00:16:25,400 --> 00:16:29,440 Speaker 8: fixing bugs and ed. You know well that games like 313 00:16:29,520 --> 00:16:32,560 Speaker 8: Cyberpunk have come out in recent years and needed more 314 00:16:32,600 --> 00:16:34,280 Speaker 8: time in the oven and came out too early, and 315 00:16:34,320 --> 00:16:37,120 Speaker 8: that is just disastrous for the companies involved. 316 00:16:36,800 --> 00:16:40,680 Speaker 3: City and they needed patch after patch. But I still 317 00:16:40,760 --> 00:16:42,920 Speaker 3: went back and played it from the start after the patch. 318 00:16:43,120 --> 00:16:46,760 Speaker 3: Bloombergs Jason Schreyer, thank you very much. Okay, Sticking with gaming, 319 00:16:46,760 --> 00:16:50,040 Speaker 3: A quick update. In the Google versus Epic Game case, 320 00:16:50,040 --> 00:16:54,000 Speaker 3: a federal judge is withholding approval of Google's anti trust 321 00:16:54,040 --> 00:16:56,800 Speaker 3: settlement with Epic Games. The company says it will improve 322 00:16:57,080 --> 00:17:00,760 Speaker 3: the distribution and monetization of apps on Android foes, but 323 00:17:00,880 --> 00:17:04,280 Speaker 3: US District Judge James Donato says he wants to look 324 00:17:04,320 --> 00:17:07,080 Speaker 3: closer at the terms of a deal first to make 325 00:17:07,119 --> 00:17:10,320 Speaker 3: sure it benefits consumers and boosts competition. 326 00:17:10,480 --> 00:17:10,680 Speaker 2: Caro. 327 00:17:11,280 --> 00:17:13,440 Speaker 5: Meanwhile, we've got a lot still to digest. 328 00:17:13,600 --> 00:17:16,080 Speaker 4: We speak with a firm holding CEO Max Levchin on 329 00:17:16,520 --> 00:17:17,720 Speaker 4: the lates's earnings results. 330 00:17:17,840 --> 00:17:18,720 Speaker 5: That's a bit big tech. 331 00:17:30,520 --> 00:17:32,959 Speaker 3: Shares of a firm off session highs up about five 332 00:17:33,040 --> 00:17:35,600 Speaker 3: percent at one point in the session up almost twelve percent. 333 00:17:35,640 --> 00:17:38,840 Speaker 3: The company posting a first quarter earning speed, But really 334 00:17:38,880 --> 00:17:41,040 Speaker 3: the focus is on it raising its twenty twenty six 335 00:17:41,160 --> 00:17:44,600 Speaker 3: forecast for gross merchandise volume, but it sets us up 336 00:17:44,640 --> 00:17:48,119 Speaker 3: for an incredible fiscal twenty six. Joining us on set 337 00:17:48,400 --> 00:17:52,879 Speaker 3: is Max Levchin at firm CEO. There's a lot of emphasis, 338 00:17:52,920 --> 00:17:56,479 Speaker 3: at least from Bloomberg Intelligence in house on card and 339 00:17:56,520 --> 00:17:59,880 Speaker 3: that driving volumes. But what we've learned across this early 340 00:18:00,160 --> 00:18:03,160 Speaker 3: period in your domain is it's worth spending a minute 341 00:18:03,200 --> 00:18:06,439 Speaker 3: on the underlying behaviors of your consumers that drove this 342 00:18:06,520 --> 00:18:07,240 Speaker 3: growth in the quarter. 343 00:18:07,440 --> 00:18:12,200 Speaker 9: What are you seeing so despite the vibe session we're 344 00:18:12,200 --> 00:18:14,800 Speaker 9: seeing in a market today in the last few days, 345 00:18:15,320 --> 00:18:18,359 Speaker 9: a firm's consumer is really healthy. They're shopping, they're buying, 346 00:18:18,440 --> 00:18:22,560 Speaker 9: they're paying their bills. They're energized by the upcoming holidays. 347 00:18:22,640 --> 00:18:26,360 Speaker 9: I think, frankly, the rumors of the American consumer's death 348 00:18:26,400 --> 00:18:27,359 Speaker 9: are greatly exaggerated. 349 00:18:27,560 --> 00:18:30,800 Speaker 3: It's interesting because, like different segments of the technology sector 350 00:18:30,840 --> 00:18:34,120 Speaker 3: tell different stories right now, is there a specific product 351 00:18:34,160 --> 00:18:38,040 Speaker 3: category or method of spending that is is demonstrating that 352 00:18:38,080 --> 00:18:38,720 Speaker 3: more than others. 353 00:18:39,600 --> 00:18:41,720 Speaker 9: I think we are quite unique in the sense a 354 00:18:41,840 --> 00:18:45,399 Speaker 9: firm's brand A promise really is use us when it 355 00:18:45,440 --> 00:18:48,840 Speaker 9: matters to you, because you'll have total control and great 356 00:18:48,840 --> 00:18:52,960 Speaker 9: degree of transparency. And as the outside pressures, you know, 357 00:18:53,000 --> 00:18:56,119 Speaker 9: even the stories you read wagh people down, it's easy 358 00:18:56,160 --> 00:18:57,800 Speaker 9: to say, you know what Affirm is at least one 359 00:18:57,840 --> 00:19:00,919 Speaker 9: thing that's going to keep me clear and in good control. 360 00:19:00,960 --> 00:19:03,200 Speaker 9: And so we think people are coming to us a 361 00:19:03,240 --> 00:19:06,800 Speaker 9: little bit more. Certainly, we saw great demand for our 362 00:19:06,920 --> 00:19:10,880 Speaker 9: recent zero day promotion, but you know, I think so far, 363 00:19:10,960 --> 00:19:13,119 Speaker 9: so good, at least in the Affirm consumer world. 364 00:19:13,320 --> 00:19:16,240 Speaker 4: The funny thing is max sometimes the market likes to 365 00:19:16,280 --> 00:19:19,920 Speaker 4: see use of Affirm or maybe more standard by now 366 00:19:19,920 --> 00:19:22,359 Speaker 4: pay later offerings as the VIBE session. 367 00:19:22,840 --> 00:19:23,639 Speaker 5: Is that not the case? 368 00:19:24,920 --> 00:19:28,000 Speaker 9: You know, we have twenty four more than sway from 369 00:19:28,000 --> 00:19:30,080 Speaker 9: a million active consumers last quarter. At this point, it's 370 00:19:30,119 --> 00:19:32,560 Speaker 9: really dangerous to just say, oh, the affirm consumer is 371 00:19:32,600 --> 00:19:34,760 Speaker 9: doing X or Y. We have quite a number of segments. 372 00:19:35,160 --> 00:19:38,480 Speaker 9: Folks that are using our zero pcent promotions are typically 373 00:19:38,600 --> 00:19:42,600 Speaker 9: leaning into just frankly, saving money, getting a great deal. 374 00:19:42,920 --> 00:19:46,040 Speaker 9: Folks that favor longer terms to repay care a lot 375 00:19:46,119 --> 00:19:49,680 Speaker 9: less about total costs, very much care about individual calf flow, 376 00:19:49,760 --> 00:19:52,080 Speaker 9: and so depending on sort of which segment you look at, 377 00:19:52,200 --> 00:19:54,800 Speaker 9: you'll see a slightly different behavior. I think the unifying 378 00:19:54,840 --> 00:19:58,159 Speaker 9: factor is they're all getting a really clear deal. There 379 00:19:58,160 --> 00:20:00,440 Speaker 9: are no late fees, there's no gimmis, there's no gotchas, 380 00:20:00,440 --> 00:20:01,040 Speaker 9: and that that's. 381 00:20:00,880 --> 00:20:02,760 Speaker 4: The way they keep coming back to us and why 382 00:20:02,840 --> 00:20:05,600 Speaker 4: you keep seeing growth merchandise volumes going up and to 383 00:20:05,680 --> 00:20:08,359 Speaker 4: the right. What's interesting is your partnership model and it 384 00:20:08,400 --> 00:20:10,600 Speaker 4: really works what Amazon, Shopify, Apple, Costco. 385 00:20:10,920 --> 00:20:12,680 Speaker 5: Where else do the partnerships make sense? 386 00:20:12,760 --> 00:20:18,000 Speaker 9: Max, you know, to be honest, everywhere. We just announced 387 00:20:18,000 --> 00:20:21,520 Speaker 9: a really strong push into services. So for a long 388 00:20:21,600 --> 00:20:23,560 Speaker 9: time you would think of buying out palliator as a 389 00:20:23,600 --> 00:20:25,959 Speaker 9: thing you buy and pay over time, people buy more 390 00:20:26,000 --> 00:20:30,080 Speaker 9: than things. They remodel their kitchens, they refurbish various parts 391 00:20:30,080 --> 00:20:32,320 Speaker 9: of their house and which announced the great partnership with 392 00:20:32,359 --> 00:20:35,240 Speaker 9: Service Titan are a variety of other platforms, so we 393 00:20:35,720 --> 00:20:40,120 Speaker 9: partner very widely because this model really works for any purchase, 394 00:20:40,160 --> 00:20:41,840 Speaker 9: you know, anything from a couple hundred dollars all the 395 00:20:41,880 --> 00:20:42,959 Speaker 9: way out of two thousands. 396 00:20:43,400 --> 00:20:45,720 Speaker 5: What about you leaning into the moment? 397 00:20:45,880 --> 00:20:48,280 Speaker 4: There is a lot of competition and smaller scale, and 398 00:20:48,359 --> 00:20:51,040 Speaker 4: many times you stand out because they're more dependent on 399 00:20:51,119 --> 00:20:52,640 Speaker 4: late fees and other such charges. 400 00:20:53,240 --> 00:20:54,879 Speaker 5: Would you do any m and A? Is this the 401 00:20:54,960 --> 00:20:56,199 Speaker 5: environment in which you'd look to do that? 402 00:20:59,119 --> 00:21:02,399 Speaker 9: You know, I think our current growth tracks so well, 403 00:21:02,520 --> 00:21:04,679 Speaker 9: I'm not sure. I have a lot of time to 404 00:21:04,840 --> 00:21:08,959 Speaker 9: consider and able to, you know, never saying obviously we're 405 00:21:09,000 --> 00:21:13,040 Speaker 9: doing really well. The company is performing. I always found 406 00:21:13,160 --> 00:21:19,960 Speaker 9: that building is my strong suit. But you know who knows. 407 00:21:19,640 --> 00:21:22,320 Speaker 3: Max This earning season, we've had the opportunity to speak 408 00:21:22,359 --> 00:21:27,520 Speaker 3: to the CEOs of Chime Robinhood so far and now 409 00:21:27,560 --> 00:21:31,359 Speaker 3: you I appreciate their differences in those companies, but in 410 00:21:32,400 --> 00:21:35,840 Speaker 3: how people transact with money, what you will have in 411 00:21:35,880 --> 00:21:39,720 Speaker 3: common is looking at varied products that you offer. What 412 00:21:39,880 --> 00:21:43,280 Speaker 3: is your new product strategy going into twenty six and 413 00:21:43,359 --> 00:21:46,080 Speaker 3: do you have any sort of ideas about this generational 414 00:21:46,119 --> 00:21:47,880 Speaker 3: wealth transfer that all the others are. 415 00:21:47,840 --> 00:21:49,000 Speaker 2: Going on about at the moment. 416 00:21:50,280 --> 00:21:52,600 Speaker 9: You know, I think we are a payment company first 417 00:21:52,640 --> 00:21:55,560 Speaker 9: and foremost. Our job is to be there, be available. 418 00:21:55,680 --> 00:21:57,280 Speaker 9: You know, we talk a lot about there are many 419 00:21:57,320 --> 00:22:00,480 Speaker 9: doors digital and real world where they're lots of little 420 00:22:00,520 --> 00:22:02,359 Speaker 9: logos of payment systems. Our job is to be on 421 00:22:02,440 --> 00:22:04,959 Speaker 9: every door, to be available, to make sure we are 422 00:22:05,000 --> 00:22:07,400 Speaker 9: there to serve when people are buying goods and services. 423 00:22:07,400 --> 00:22:09,760 Speaker 9: And so we're very, very focused on executing what we have. 424 00:22:10,400 --> 00:22:12,560 Speaker 9: You know, forty two percent doesn't come easy, and we 425 00:22:12,640 --> 00:22:18,119 Speaker 9: write book you trying to hit really good growth. You know, 426 00:22:18,800 --> 00:22:21,080 Speaker 9: I've learned the hard way not to pronounce new products. 427 00:22:21,080 --> 00:22:23,040 Speaker 9: We have all sorts of really exciting things we're cooking. 428 00:22:23,080 --> 00:22:25,080 Speaker 9: You know, have me back and I'll announce it. 429 00:22:25,040 --> 00:22:26,879 Speaker 2: But it's ready to go fair enough. 430 00:22:27,440 --> 00:22:30,919 Speaker 4: Beaten raised trajectory Sabloom, meg Intelligence, is it, Max Levchin, 431 00:22:31,000 --> 00:22:32,720 Speaker 4: we appreciate it if I'm CEO. 432 00:22:39,280 --> 00:22:39,560 Speaker 8: Six. 433 00:22:39,680 --> 00:22:44,320 Speaker 10: Then finally, on the twenty twenty five CEO Performance Award 434 00:22:44,400 --> 00:22:49,040 Speaker 10: to our founder and CEO Elon Musk, with over seventy 435 00:22:49,080 --> 00:22:53,679 Speaker 10: five percent voting in favor, Hop Road. 436 00:22:56,520 --> 00:22:59,080 Speaker 3: That was Brandon Eh reading the results of test, the 437 00:22:59,160 --> 00:23:03,000 Speaker 3: shelled about Yeah. Today, the company's corporate secretary and general counsel, 438 00:23:03,040 --> 00:23:06,200 Speaker 3: and as we've been discussing, Musk's pay package, worth potentially 439 00:23:06,280 --> 00:23:09,760 Speaker 3: up to a trillion dollars was approved today. The shares, however, 440 00:23:10,080 --> 00:23:12,600 Speaker 3: are lower by four percent. Is that sell the news? 441 00:23:12,720 --> 00:23:16,080 Speaker 3: Is there something in reaction to the vote itself? Not 442 00:23:16,200 --> 00:23:17,800 Speaker 3: SURECARC that's. 443 00:23:17,640 --> 00:23:18,560 Speaker 5: Got an invest to take. 444 00:23:18,600 --> 00:23:21,359 Speaker 4: Then we bring in Gene Monthster, managing partner at Deepwater 445 00:23:21,400 --> 00:23:22,120 Speaker 4: Asset Management. 446 00:23:22,200 --> 00:23:22,959 Speaker 5: Thrilled to have you on. 447 00:23:23,000 --> 00:23:25,800 Speaker 4: So much to talk about, but the seventy five percent 448 00:23:25,960 --> 00:23:29,000 Speaker 4: is a lot, but there also comes some significant milestones 449 00:23:29,240 --> 00:23:32,920 Speaker 4: and also then talk of fifty percent growth in car 450 00:23:32,960 --> 00:23:34,880 Speaker 4: production by the end of twenty twenty six. 451 00:23:34,920 --> 00:23:36,240 Speaker 5: Can he make that, Gene. 452 00:23:37,520 --> 00:23:40,720 Speaker 11: Now, The simple answer is that probably not. But that's 453 00:23:40,720 --> 00:23:44,159 Speaker 11: what Elon did. A master class is as ultimately is 454 00:23:44,359 --> 00:23:48,080 Speaker 11: throwing a ball out there that is difficult to achieve, 455 00:23:48,760 --> 00:23:51,199 Speaker 11: but he has the wherewith to do that. 456 00:23:51,320 --> 00:23:52,400 Speaker 2: And so that ball you. 457 00:23:52,400 --> 00:23:56,800 Speaker 11: Talked about, the production piece, this fifty percent, He puts 458 00:23:56,840 --> 00:23:59,640 Speaker 11: that target out there, but then he adds these kind 459 00:23:59,600 --> 00:24:02,280 Speaker 11: of qualqualifiers that say that yes, we can do it, 460 00:24:02,280 --> 00:24:04,800 Speaker 11: but we can only move as fast as the slowest 461 00:24:04,840 --> 00:24:07,680 Speaker 11: part of the production chain that pipeline to get them 462 00:24:07,720 --> 00:24:12,439 Speaker 11: to build the whole capacity, to get them to build capacity. 463 00:24:12,840 --> 00:24:15,280 Speaker 11: And separately, when he thinks about Optimists and what the 464 00:24:15,280 --> 00:24:17,720 Speaker 11: potential is there, I mean, this is something that he 465 00:24:17,840 --> 00:24:21,080 Speaker 11: outlined as a kind of a five year ten year plan, 466 00:24:21,440 --> 00:24:25,760 Speaker 11: but it is ultimately something that you know, getting the 467 00:24:25,840 --> 00:24:27,720 Speaker 11: ten million robots here, I just want to put that 468 00:24:27,760 --> 00:24:31,120 Speaker 11: in a perspective. Ten million a year. They're doing two 469 00:24:31,119 --> 00:24:34,399 Speaker 11: million cars a year and they really got moving in 470 00:24:34,560 --> 00:24:37,560 Speaker 11: earnest on the car production in twenty nineteen, and so 471 00:24:37,600 --> 00:24:39,800 Speaker 11: it's taken them six years to get to two million. 472 00:24:40,080 --> 00:24:43,159 Speaker 11: These are huge targets and Caroline at the most basic level, 473 00:24:43,480 --> 00:24:46,080 Speaker 11: he put big targets out there. That's what he does, 474 00:24:46,119 --> 00:24:49,719 Speaker 11: and that's the mandate that investors gave him with this 475 00:24:49,840 --> 00:24:52,440 Speaker 11: vote of this pay package is they want these big 476 00:24:52,480 --> 00:24:55,199 Speaker 11: targets out there, and he's delivering on that, whether it's 477 00:24:55,240 --> 00:24:57,679 Speaker 11: the production or the commentary about optimists. 478 00:24:57,800 --> 00:24:59,479 Speaker 5: Best is excited. Your dog's excited. 479 00:24:59,520 --> 00:25:04,080 Speaker 4: Gene interested about what therefore he has to do to 480 00:25:04,280 --> 00:25:07,399 Speaker 4: keep up with the momentum. Now, because look, let's just 481 00:25:07,440 --> 00:25:10,720 Speaker 4: ask your basic question. Many were worried about a twenty 482 00:25:10,720 --> 00:25:13,960 Speaker 4: five percent ownership for Elon because of the control. Not 483 00:25:14,000 --> 00:25:16,400 Speaker 4: so much the one trillion dollar pay package. It's more 484 00:25:16,440 --> 00:25:18,680 Speaker 4: about that he's going to be controlling a robot army. 485 00:25:18,880 --> 00:25:21,240 Speaker 4: Is that something you want to see that generally society 486 00:25:21,280 --> 00:25:21,800 Speaker 4: wants to see. 487 00:25:23,720 --> 00:25:27,080 Speaker 11: Well, that's what he wants control. And the answer is no. 488 00:25:27,119 --> 00:25:30,240 Speaker 11: One wants an army of robots to be controlled by 489 00:25:30,240 --> 00:25:34,240 Speaker 11: one person. But most seventy five percent plus of Tesla 490 00:25:34,359 --> 00:25:38,520 Speaker 11: investors want a company that's building that to be controlled 491 00:25:38,560 --> 00:25:41,960 Speaker 11: by one person or controlled by Elon, And I think 492 00:25:42,000 --> 00:25:45,119 Speaker 11: that that makes sense. Elon has been very clear that 493 00:25:45,200 --> 00:25:47,240 Speaker 11: if he wants to build this army, if he wants 494 00:25:47,280 --> 00:25:49,919 Speaker 11: to build this AI vision company, he doesn't want to 495 00:25:49,960 --> 00:25:53,560 Speaker 11: be pushed out. He also left open the option for 496 00:25:53,760 --> 00:25:56,080 Speaker 11: him to get pushed out, in his words, if I 497 00:25:56,119 --> 00:25:59,440 Speaker 11: go insane, and so I think that's an important distinction too. 498 00:25:59,480 --> 00:26:01,720 Speaker 11: He has, But that doesn't mean that he's going to 499 00:26:01,720 --> 00:26:02,679 Speaker 11: be a tussle forever. 500 00:26:04,560 --> 00:26:07,480 Speaker 3: I think going back to basics is really critical here, Gene. 501 00:26:07,760 --> 00:26:10,320 Speaker 3: So there's the mechanics of what happened the vote past. 502 00:26:10,400 --> 00:26:14,160 Speaker 3: The package was approved, and then Elon Musk spoke afterwards, 503 00:26:14,760 --> 00:26:18,639 Speaker 3: and he actually gave some information that relates directly to 504 00:26:18,680 --> 00:26:21,280 Speaker 3: the milestones the company is set. So in the middle there, 505 00:26:21,280 --> 00:26:23,800 Speaker 3: we're saying the board is tasking him over ten years 506 00:26:24,160 --> 00:26:26,240 Speaker 3: to deliver twenty million vehicles. 507 00:26:26,320 --> 00:26:26,520 Speaker 7: Right. 508 00:26:28,240 --> 00:26:31,920 Speaker 3: He told us in his remarks that twenty twenty six 509 00:26:31,960 --> 00:26:36,280 Speaker 3: would see fifty percent annualized growth. That was something material, 510 00:26:36,400 --> 00:26:36,760 Speaker 3: was it not? 511 00:26:38,359 --> 00:26:40,800 Speaker 11: He said fifty percent in yourized growth. But then he 512 00:26:40,840 --> 00:26:44,320 Speaker 11: put the caveat if the if the supply chain can 513 00:26:44,440 --> 00:26:47,000 Speaker 11: provide the components to get them to increase the capacity 514 00:26:47,000 --> 00:26:50,080 Speaker 11: about that much. It's a similar caveat that happens when 515 00:26:50,119 --> 00:26:54,000 Speaker 11: he says we're going to have Autonomy full first approved 516 00:26:54,040 --> 00:26:56,120 Speaker 11: in one or two months. That was his comments yesterday, 517 00:26:56,200 --> 00:26:57,440 Speaker 11: pending regulatory approval. 518 00:26:57,840 --> 00:26:58,160 Speaker 12: And so. 519 00:26:59,680 --> 00:27:02,560 Speaker 11: I'm a shareholder of Tesla. I think that this company 520 00:27:02,600 --> 00:27:05,199 Speaker 11: is grossly undervalued. That may sound like it's out of 521 00:27:05,200 --> 00:27:08,080 Speaker 11: touch with reality, that comment, but I think it's grossly undervalued. 522 00:27:08,320 --> 00:27:10,680 Speaker 11: But I also am realistic about what goes on here. 523 00:27:10,720 --> 00:27:13,440 Speaker 11: There's this these targets that could put out there, but 524 00:27:13,480 --> 00:27:17,280 Speaker 11: then there's these caveats that are out of his control 525 00:27:17,320 --> 00:27:19,520 Speaker 11: that will be put on any sort of Some of 526 00:27:19,560 --> 00:27:20,840 Speaker 11: these really big targets. 527 00:27:22,359 --> 00:27:26,840 Speaker 3: You noted, as many have done, Musk's comments on Silicon, 528 00:27:27,480 --> 00:27:30,200 Speaker 3: and it was a throwaway comment that the idea that 529 00:27:30,640 --> 00:27:34,400 Speaker 3: Tesla might do its own fab Are you taking that seriously? 530 00:27:36,640 --> 00:27:39,919 Speaker 11: So I'm not taking it seriously. I think that you know, 531 00:27:40,000 --> 00:27:42,159 Speaker 11: Elon wants to make a point, and the point is 532 00:27:42,200 --> 00:27:44,880 Speaker 11: I think he's frustrated about what he is paying for Silicon. 533 00:27:45,280 --> 00:27:50,119 Speaker 11: If you look at all of his enterprises, SpaceX XAI, Tesla, Neuralink, 534 00:27:50,160 --> 00:27:54,200 Speaker 11: all those combined, the biggest line item on those outside 535 00:27:54,200 --> 00:27:57,520 Speaker 11: of people is around Silicon. I mean, there's he spends 536 00:27:57,520 --> 00:27:59,640 Speaker 11: a ton of money on that. What he talked about 537 00:27:59,680 --> 00:28:03,240 Speaker 11: here is having similar performance as Blackwell and videos black 538 00:28:03,240 --> 00:28:05,760 Speaker 11: Ole GPU at a ten percent. 539 00:28:05,400 --> 00:28:05,920 Speaker 2: Of the cost. 540 00:28:06,000 --> 00:28:08,320 Speaker 11: You think that that's doable, And I just want to 541 00:28:08,440 --> 00:28:12,320 Speaker 11: kind of put that to the test. Is that kind 542 00:28:12,359 --> 00:28:15,639 Speaker 11: of performance, that kind of costs performance is something that 543 00:28:15,800 --> 00:28:18,679 Speaker 11: is I think unrealistic at least for the next few years. 544 00:28:19,040 --> 00:28:22,240 Speaker 11: It's the same reason why in Nvidia has been so 545 00:28:22,359 --> 00:28:26,160 Speaker 11: bullish on their business is that these customers would love 546 00:28:26,400 --> 00:28:29,159 Speaker 11: to find an alternative, whether it's through customs, Silicon or 547 00:28:29,200 --> 00:28:32,840 Speaker 11: through AMD for example. But the reality is is that 548 00:28:32,920 --> 00:28:35,560 Speaker 11: in Nvidia still is the best bang for the buck 549 00:28:35,600 --> 00:28:38,640 Speaker 11: when it comes to silicon, and that's a very expensive 550 00:28:38,640 --> 00:28:41,600 Speaker 11: buck in this case. So I think that I generally 551 00:28:41,640 --> 00:28:46,280 Speaker 11: don't think Tesla is going to or should do their 552 00:28:46,320 --> 00:28:48,920 Speaker 11: own fab. I think twenty billion dollars can be spent 553 00:28:49,360 --> 00:28:52,040 Speaker 11: in much better places. He kind of threw the lifeline 554 00:28:52,040 --> 00:28:55,040 Speaker 11: out there. Maybe we work through Intel has been a 555 00:28:55,120 --> 00:28:58,840 Speaker 11: challenging road for Intel on the fab side, and building 556 00:28:58,840 --> 00:29:02,440 Speaker 11: a fab advances fab is really tough. These advanced nodes 557 00:29:02,800 --> 00:29:05,520 Speaker 11: are very tough, and Intel's never shown they were competent 558 00:29:05,560 --> 00:29:05,720 Speaker 11: in that. 559 00:29:06,080 --> 00:29:09,680 Speaker 4: Gene broadened that out therefore, because the whole market has 560 00:29:09,720 --> 00:29:12,280 Speaker 4: a lot of anxiety on its shoulders right now around 561 00:29:12,480 --> 00:29:15,600 Speaker 4: the build out a generative AI infrastructure. Now, in particular, 562 00:29:15,640 --> 00:29:19,560 Speaker 4: we saw at sam Altman trying to navigate what had 563 00:29:19,600 --> 00:29:22,840 Speaker 4: become a bit of a explosion that the CFO had 564 00:29:22,880 --> 00:29:25,360 Speaker 4: set off on Wednesday by saying maybe they'd looked to 565 00:29:25,400 --> 00:29:28,040 Speaker 4: some sort of government to support for their infrastructure spend. 566 00:29:28,560 --> 00:29:30,120 Speaker 4: Sam Altman came out and said, look, the only way 567 00:29:30,120 --> 00:29:32,480 Speaker 4: when one government support is perhaps if we became a 568 00:29:32,480 --> 00:29:35,280 Speaker 4: fabricator of chips. But what do you make about the 569 00:29:35,280 --> 00:29:38,680 Speaker 4: weight that is currently on this market about vindicating one 570 00:29:38,680 --> 00:29:41,160 Speaker 4: point four trillion dollars spending by a company that's making 571 00:29:41,320 --> 00:29:43,640 Speaker 4: maybe twelve billion, call it, maybe even twenty billion a 572 00:29:43,680 --> 00:29:44,640 Speaker 4: year in terms of revenue. 573 00:29:46,360 --> 00:29:51,120 Speaker 11: So there is a switch that flipped since the end 574 00:29:51,200 --> 00:29:53,360 Speaker 11: of October. I think it was like the twentieth of 575 00:29:53,360 --> 00:29:57,200 Speaker 11: October is when Jensen came out and said that video 576 00:29:57,320 --> 00:30:01,400 Speaker 11: is going to essentially beat the expectation by fifteen percent 577 00:30:01,440 --> 00:30:03,400 Speaker 11: plus over the next five quarters. He put out this 578 00:30:03,480 --> 00:30:08,000 Speaker 11: five hundred billion dollars in Blackwell revenue, and that was 579 00:30:08,080 --> 00:30:11,040 Speaker 11: a really big point. And then we had the hyperscalers, 580 00:30:11,160 --> 00:30:14,280 Speaker 11: and then this conversation started to shift. There's a change 581 00:30:14,320 --> 00:30:18,120 Speaker 11: in terms of how the AI investor is thinking about this, 582 00:30:18,160 --> 00:30:21,280 Speaker 11: and this shift is this sense of like, wow, maybe 583 00:30:21,320 --> 00:30:23,120 Speaker 11: this is just getting to be too much. We saw 584 00:30:23,160 --> 00:30:25,480 Speaker 11: what happen with MetaStock, and then on top of that, 585 00:30:25,600 --> 00:30:29,200 Speaker 11: Sarah Fry and the Sam Altman and the Golden or 586 00:30:29,200 --> 00:30:32,680 Speaker 11: the Wall Street Journal event, all that kind of I 587 00:30:32,720 --> 00:30:35,840 Speaker 11: think you put all this together and there all of 588 00:30:35,920 --> 00:30:39,600 Speaker 11: a sudden, this vortex of what's really going on here, 589 00:30:40,080 --> 00:30:43,120 Speaker 11: whether it's the government piece, whether it's the expectations that 590 00:30:43,280 --> 00:30:45,480 Speaker 11: VIDIA has about how much they're going to sell over 591 00:30:45,520 --> 00:30:48,040 Speaker 11: the next few quarters, whether it's Meta saying how much 592 00:30:48,040 --> 00:30:51,320 Speaker 11: they're going to spend and Amazon, it just feels like 593 00:30:51,360 --> 00:30:54,680 Speaker 11: there's investors are now at a point where they're uncomfortable 594 00:30:54,800 --> 00:30:57,920 Speaker 11: that they don't believe that this ultimately is going to 595 00:30:57,920 --> 00:31:01,400 Speaker 11: be prosper There's going to be a press around this investment, 596 00:31:01,440 --> 00:31:03,760 Speaker 11: and so I think that's the shift we've seen. That's 597 00:31:03,800 --> 00:31:05,880 Speaker 11: why I think we've seen sell off in these companies. 598 00:31:06,080 --> 00:31:10,640 Speaker 11: The fundamentals are rock solid. Opening Eye doesn't need government support, 599 00:31:10,640 --> 00:31:14,080 Speaker 11: there's no question, but there's a psychology piece to this trade, 600 00:31:14,120 --> 00:31:16,760 Speaker 11: and I think it's just gotten softened by some of 601 00:31:16,800 --> 00:31:20,240 Speaker 11: these conversations. Just too many moving parts now for our investors. 602 00:31:20,680 --> 00:31:23,920 Speaker 11: That will settle down once they start to see the 603 00:31:23,960 --> 00:31:27,400 Speaker 11: December quarter results and understand that in fact, we are 604 00:31:27,480 --> 00:31:29,040 Speaker 11: still early in this AI build out. 605 00:31:30,720 --> 00:31:33,840 Speaker 3: Gem Monster managing partner at Deepwater Asset Management. Great to 606 00:31:33,840 --> 00:31:35,840 Speaker 3: have you back on the show, Thank you very much. 607 00:31:36,200 --> 00:31:38,200 Speaker 3: Coming up, we're going to be joined by Draft Kings 608 00:31:38,320 --> 00:31:41,800 Speaker 3: CEO Jason Robbins following the company's earnings and it's new 609 00:31:41,880 --> 00:31:43,440 Speaker 3: deal with Disney. 610 00:31:43,920 --> 00:31:46,240 Speaker 2: More on that next. This has been bag Tech. 611 00:31:54,080 --> 00:31:57,680 Speaker 3: Welcome to our TV and radio audiences worldwide. We head 612 00:31:57,760 --> 00:32:00,440 Speaker 3: back to earnings with Draft Kings out with every Results, 613 00:32:00,480 --> 00:32:03,000 Speaker 3: cutting its revenue forecast for the full year. The company 614 00:32:03,000 --> 00:32:05,720 Speaker 3: also out though, with news that Disney signed a new 615 00:32:05,800 --> 00:32:08,440 Speaker 3: multi year deal to make the Sports Betting Company the 616 00:32:08,480 --> 00:32:12,600 Speaker 3: official betting site and odds provider for the ESPN Sports Network. 617 00:32:12,640 --> 00:32:16,440 Speaker 3: Let's bring in Draftking CEO Jason Robbins. It's an interesting 618 00:32:16,480 --> 00:32:19,120 Speaker 3: partnership and I think that's where we should start. How 619 00:32:19,280 --> 00:32:21,640 Speaker 3: much does this move the needle for you? You know, 620 00:32:21,720 --> 00:32:24,239 Speaker 3: we've talked in the past on this program, Jason with 621 00:32:24,240 --> 00:32:27,800 Speaker 3: you about the integration of the live sports event and 622 00:32:27,840 --> 00:32:30,440 Speaker 3: the broadcast with the betting activity. 623 00:32:31,400 --> 00:32:37,000 Speaker 2: Your big picture goal with this deal. Well, first of all. 624 00:32:37,160 --> 00:32:40,560 Speaker 13: ESPN is a you know, iconic brand. It's you know, 625 00:32:40,800 --> 00:32:44,080 Speaker 13: by far the biggest name in sports in the United States, 626 00:32:44,120 --> 00:32:49,959 Speaker 13: and they have an incredible portfolio, unmatched portfolio of sports content, influencers, talent. 627 00:32:50,120 --> 00:32:53,760 Speaker 13: So it's really, you know, for us, just the greatest 628 00:32:53,800 --> 00:32:56,440 Speaker 13: partner you can have when you're in the space we're 629 00:32:56,480 --> 00:33:00,920 Speaker 13: in and Jimmy Pataro runs it really understands in I think, 630 00:33:01,040 --> 00:33:04,120 Speaker 13: values the sports betting space and understands that the customer 631 00:33:04,200 --> 00:33:07,400 Speaker 13: overlap is high, and it's important that they engage their 632 00:33:07,440 --> 00:33:12,200 Speaker 13: customers by being partnered with somebody like Drafting, so really excited. 633 00:33:11,760 --> 00:33:12,400 Speaker 2: To embark on it. 634 00:33:12,440 --> 00:33:14,520 Speaker 13: We've been partners with them many times in the past, 635 00:33:14,560 --> 00:33:16,840 Speaker 13: so it's familiar territory. We know all the people there 636 00:33:16,840 --> 00:33:19,360 Speaker 13: and we're looking forward to working together. And you add 637 00:33:19,400 --> 00:33:23,240 Speaker 13: that to our deals with NBC, Universal and Amazon and others, 638 00:33:23,240 --> 00:33:26,000 Speaker 13: we have an unmatched I think, presence across the sports 639 00:33:26,040 --> 00:33:30,600 Speaker 13: landscape over the next several years prediction markets. 640 00:33:31,560 --> 00:33:34,280 Speaker 3: Wednesday night, we were with Robin Hood at their in 641 00:33:34,360 --> 00:33:35,400 Speaker 3: person earning school. 642 00:33:35,560 --> 00:33:36,160 Speaker 2: That was wacky. 643 00:33:36,240 --> 00:33:38,760 Speaker 3: Don't know if you consider that, but the month of 644 00:33:38,800 --> 00:33:42,959 Speaker 3: October massive volumes for them. You're being super thoughtful about predictions. 645 00:33:43,080 --> 00:33:46,240 Speaker 3: I understand that, and you have a clear strategy. My 646 00:33:46,360 --> 00:33:49,000 Speaker 3: question has always been how much a growth in a 647 00:33:49,160 --> 00:33:53,640 Speaker 3: nascent predictions market cannibalizes other offerings that you have. 648 00:33:55,480 --> 00:33:56,560 Speaker 2: I think very little. 649 00:33:57,000 --> 00:33:59,920 Speaker 13: If you look at the UK, for example, exchange based 650 00:34:00,440 --> 00:34:04,040 Speaker 13: is about five percent of the total pie, so you 651 00:34:04,080 --> 00:34:05,840 Speaker 13: know that's probably about right. And I think a lot 652 00:34:05,880 --> 00:34:09,880 Speaker 13: of it is largely incremental because they're market makers and 653 00:34:09,920 --> 00:34:12,480 Speaker 13: others that are not present on traditional sports books to 654 00:34:12,600 --> 00:34:15,000 Speaker 13: generate a lot of the volume. So I think it's 655 00:34:15,160 --> 00:34:18,080 Speaker 13: very much an incremental opportunity for us, and that's why. 656 00:34:17,880 --> 00:34:19,040 Speaker 2: We're so excited about it. 657 00:34:19,560 --> 00:34:22,640 Speaker 13: We acquire real Bird and we're also looking to you know, 658 00:34:22,800 --> 00:34:25,520 Speaker 13: enter the market sometime in the next couple months. 659 00:34:25,960 --> 00:34:29,879 Speaker 4: What's interesting, Jason is investors analysts out there called out 660 00:34:29,880 --> 00:34:34,080 Speaker 4: on the actual earning script talking about how marketing expenses, 661 00:34:34,200 --> 00:34:37,719 Speaker 4: higher sales expenses did eat into the results, and they 662 00:34:37,760 --> 00:34:40,239 Speaker 4: call them also some ugly outcomes when it comes to 663 00:34:40,280 --> 00:34:43,000 Speaker 4: the sports games for that you can't control. But what 664 00:34:43,080 --> 00:34:45,080 Speaker 4: about the expenses you're going to have to have on 665 00:34:45,200 --> 00:34:46,240 Speaker 4: the predictions markets. 666 00:34:47,600 --> 00:34:50,319 Speaker 13: Well, we do plan to make some investment there. We 667 00:34:50,400 --> 00:34:52,520 Speaker 13: mentioned this on the call that we're going to be 668 00:34:52,560 --> 00:34:55,520 Speaker 13: more i think conservative in terms of the paybacks we're 669 00:34:55,520 --> 00:34:57,799 Speaker 13: looking for, just given how nis in a space it 670 00:34:57,920 --> 00:35:00,399 Speaker 13: is and the fact that you know, it's unclear kind 671 00:35:00,440 --> 00:35:02,480 Speaker 13: of how this will all play out, but we are 672 00:35:02,520 --> 00:35:05,000 Speaker 13: going to make some investment there. First, of course, and 673 00:35:05,000 --> 00:35:07,680 Speaker 13: getting a product developed and making sure that that's the 674 00:35:07,719 --> 00:35:09,799 Speaker 13: best in class. You can't win, and we've always said 675 00:35:09,800 --> 00:35:12,359 Speaker 13: this product is the most important thing. You can't win 676 00:35:12,400 --> 00:35:15,440 Speaker 13: if you don't have a great product. And then assuming 677 00:35:15,480 --> 00:35:18,560 Speaker 13: that the numbers check out, will spend marketing Accordingly, We're 678 00:35:18,600 --> 00:35:20,440 Speaker 13: going to be very data driven like we always are, 679 00:35:20,440 --> 00:35:21,280 Speaker 13: and everything we will. 680 00:35:21,200 --> 00:35:22,000 Speaker 2: Test into it. 681 00:35:22,480 --> 00:35:24,160 Speaker 13: But we did want to make sure as we guided 682 00:35:24,160 --> 00:35:26,520 Speaker 13: that we were thoughtful about giving the team some space 683 00:35:26,600 --> 00:35:29,200 Speaker 13: to be able to accelerate spend if the numbers look good. 684 00:35:29,600 --> 00:35:33,440 Speaker 4: And therefore the guide did pull back rather than uplift 685 00:35:33,600 --> 00:35:34,160 Speaker 4: going forward. 686 00:35:34,280 --> 00:35:35,840 Speaker 5: Jason, but you say it's conservative. 687 00:35:35,920 --> 00:35:39,680 Speaker 4: You talk about an incremental opportunity from predictions, and I'm 688 00:35:39,719 --> 00:35:41,439 Speaker 4: really interested as to how you make sure this doesn't 689 00:35:41,480 --> 00:35:43,239 Speaker 4: cannibalize what you already. 690 00:35:43,000 --> 00:35:43,520 Speaker 5: Have out there. 691 00:35:43,640 --> 00:35:45,680 Speaker 4: You've talked a lot about how this might actually make 692 00:35:45,760 --> 00:35:48,160 Speaker 4: more states accessible to sports better because at the moment 693 00:35:48,160 --> 00:35:51,239 Speaker 4: you can get fifty states with this predictions market, but 694 00:35:51,560 --> 00:35:53,760 Speaker 4: what you've got twenty five at the moment for your offering, 695 00:35:53,960 --> 00:35:55,560 Speaker 4: and you're about to have and you also have DC 696 00:35:55,640 --> 00:35:57,000 Speaker 4: and then you're adding Missouri. 697 00:35:58,280 --> 00:36:01,560 Speaker 13: Yeah, I mean, I think you're exactly right that this 698 00:36:01,640 --> 00:36:04,399 Speaker 13: will hopefully lead more states to decide that they might 699 00:36:04,440 --> 00:36:07,880 Speaker 13: as well legalize sports betting. It's I think predictions are 700 00:36:07,920 --> 00:36:11,120 Speaker 13: a powerful talking point for that, because you know, same 701 00:36:11,120 --> 00:36:12,960 Speaker 13: as the illegal market, same as anything in this case, 702 00:36:12,960 --> 00:36:16,480 Speaker 13: it's regulated, but the bottom line is it's activity that's 703 00:36:16,520 --> 00:36:19,600 Speaker 13: already happening in the state at some level that they 704 00:36:19,600 --> 00:36:22,279 Speaker 13: are not directly benefiting from and regulating. So I do 705 00:36:22,360 --> 00:36:25,440 Speaker 13: think that'll motivate some states, But for us, really the 706 00:36:25,480 --> 00:36:29,080 Speaker 13: cannibalization thing isn't a huge concern. We haven't seen that happen, 707 00:36:29,840 --> 00:36:32,279 Speaker 13: not just here, but as I mentioned, overseas where there's 708 00:36:32,360 --> 00:36:34,960 Speaker 13: long established I mean, it's not a brand new thing 709 00:36:35,040 --> 00:36:38,239 Speaker 13: like it is here. There's been predictions and sports exchanges 710 00:36:38,280 --> 00:36:41,560 Speaker 13: around for decades in the UK, for example, So we 711 00:36:41,600 --> 00:36:43,719 Speaker 13: feel like there's pretty good data out there to show 712 00:36:43,760 --> 00:36:46,880 Speaker 13: that head to head, the traditional sports betting product is 713 00:36:46,880 --> 00:36:49,320 Speaker 13: a much far superior product for customers. 714 00:36:50,440 --> 00:36:52,799 Speaker 3: Jason, you said that this is the most bullish you've 715 00:36:52,800 --> 00:36:57,720 Speaker 3: ever felt about the company's future. What are the underlying trends, 716 00:36:57,840 --> 00:37:00,880 Speaker 3: data points, behaviors of your customer? Is that give you 717 00:37:00,920 --> 00:37:03,840 Speaker 3: that conviction? Why do you have it now that you 718 00:37:03,880 --> 00:37:04,840 Speaker 3: didn't have previously? 719 00:37:06,280 --> 00:37:08,719 Speaker 13: Well, I think if you take a step back, you know, 720 00:37:08,800 --> 00:37:11,440 Speaker 13: it really starts with the progress that we've made over 721 00:37:11,480 --> 00:37:13,799 Speaker 13: the last few years in the position we put ourselves in. 722 00:37:14,160 --> 00:37:17,319 Speaker 13: Remember two years ago, we weren't even profitable. Three years ago, 723 00:37:17,719 --> 00:37:20,440 Speaker 13: we had nearly a billion dollar adjusted EBIT to loss. 724 00:37:20,480 --> 00:37:22,880 Speaker 13: At that point, you know, we were getting killed in 725 00:37:22,880 --> 00:37:24,799 Speaker 13: the market because people thought we were going to run 726 00:37:24,840 --> 00:37:27,440 Speaker 13: out of money and go out of business. We really 727 00:37:27,480 --> 00:37:31,239 Speaker 13: buckled down, we grew revenues, we managed costs, and you know, 728 00:37:31,440 --> 00:37:33,640 Speaker 13: just a few years later we've had an over billion 729 00:37:33,680 --> 00:37:36,560 Speaker 13: and a half swing. So I think that shows that 730 00:37:36,600 --> 00:37:38,960 Speaker 13: we are in a great position. But also more importantly 731 00:37:39,360 --> 00:37:42,200 Speaker 13: now we're in a position to play offense. We are profitable, 732 00:37:42,280 --> 00:37:45,240 Speaker 13: we have scale, we have the best product in the market, 733 00:37:45,520 --> 00:37:48,440 Speaker 13: we have the absolute best partnerships and presence across the 734 00:37:48,520 --> 00:37:51,880 Speaker 13: media landscape. We're about to launch Sports Predictions, which I 735 00:37:51,960 --> 00:37:55,239 Speaker 13: believe represents a huge incremental opportunity for us. So a 736 00:37:55,280 --> 00:37:57,560 Speaker 13: lot of really exciting things going on, and the only 737 00:37:57,600 --> 00:37:59,840 Speaker 13: real negative on the quarter was the sport outcomes. I 738 00:37:59,840 --> 00:38:02,800 Speaker 13: think think all the stereover predictions is kind of nonsense, 739 00:38:02,880 --> 00:38:05,239 Speaker 13: but the really only negative sport outcomes. But that's a 740 00:38:05,280 --> 00:38:07,640 Speaker 13: temporary thing, that's not something that has anything to do 741 00:38:07,680 --> 00:38:09,160 Speaker 13: with the fundamentals of the business. 742 00:38:11,320 --> 00:38:16,359 Speaker 3: Draftking CEO Jason Robbins, thank you very much, Caroline. 743 00:38:16,920 --> 00:38:19,200 Speaker 4: Well it's time now for talking tech ed first up 744 00:38:19,360 --> 00:38:22,239 Speaker 4: Bitcoin when it's fallen as much as twelve percent of 745 00:38:22,239 --> 00:38:24,120 Speaker 4: per cent so far this week on trap for its 746 00:38:24,120 --> 00:38:26,520 Speaker 4: worst weekly performances all the way back in March. Since 747 00:38:26,520 --> 00:38:29,080 Speaker 4: spite of President Trump's push to cement US as the 748 00:38:29,120 --> 00:38:32,520 Speaker 4: world's crypto epicenter, the market value of the digital assets 749 00:38:32,560 --> 00:38:35,399 Speaker 4: is now lower than I Need took office Plus China 750 00:38:35,480 --> 00:38:37,880 Speaker 4: when it's allowing Dutch chip maker and Nick Sperior to 751 00:38:37,960 --> 00:38:40,840 Speaker 4: export again from its operations in the country. This sets 752 00:38:40,840 --> 00:38:43,239 Speaker 4: the stage for the Netherlands government to kind of back 753 00:38:43,280 --> 00:38:46,280 Speaker 4: down and suspend its powers over the Chinese own company 754 00:38:46,440 --> 00:38:49,520 Speaker 4: after a conflict that had threatened to disrupt global automotive 755 00:38:49,560 --> 00:38:53,360 Speaker 4: production and Apple's streaming service when it went down briefly 756 00:38:53,520 --> 00:38:56,239 Speaker 4: for some users last night, shortly after the debut of 757 00:38:56,280 --> 00:38:57,240 Speaker 4: the widely. 758 00:38:56,880 --> 00:39:00,239 Speaker 5: Anticipated pluribus It's a new series from the Career or 759 00:39:00,239 --> 00:39:00,959 Speaker 5: are breaking bad? 760 00:39:01,120 --> 00:39:01,279 Speaker 11: Look? 761 00:39:01,360 --> 00:39:03,920 Speaker 5: This came and a bad time for Apple, which build plur. 762 00:39:03,840 --> 00:39:06,560 Speaker 4: Of us as one of the major exclusive attractions at 763 00:39:14,040 --> 00:39:16,560 Speaker 4: We're at a time when consumers are more cost conscious 764 00:39:16,600 --> 00:39:19,480 Speaker 4: than ever. Brands well, they're racing to meet them where 765 00:39:19,480 --> 00:39:23,600 Speaker 4: they actually shop. Creator commerce platform LTK is expanding to 766 00:39:23,640 --> 00:39:27,040 Speaker 4: include brand profiles, giving companies a new way to connect 767 00:39:27,080 --> 00:39:29,960 Speaker 4: directly with value driven shoppers within the creator community. 768 00:39:30,200 --> 00:39:33,040 Speaker 5: For more Ammaven's Box. LTK co found it joins us. 769 00:39:33,080 --> 00:39:35,319 Speaker 4: Now it's really interesting because you have what I think 770 00:39:35,400 --> 00:39:39,919 Speaker 4: forty million monthly users globally on LTK. But they come 771 00:39:39,960 --> 00:39:43,240 Speaker 4: because they're creators, their favorite creator is they're telling them, 772 00:39:43,440 --> 00:39:46,160 Speaker 4: advising them on what they could purchase. Why is therefore 773 00:39:46,239 --> 00:39:48,880 Speaker 4: Nike putting itself there as a brand individually? 774 00:39:50,440 --> 00:39:54,000 Speaker 12: You know, LTK is the single largest creator commerce platform. 775 00:39:54,040 --> 00:39:55,400 Speaker 5: We have thirty percent of Gen. 776 00:39:55,360 --> 00:39:58,719 Speaker 12: Z and millennial women in the US using the platform. 777 00:39:59,080 --> 00:40:03,680 Speaker 12: There's spending every sixty seconds. Let's see, they're going I 778 00:40:03,680 --> 00:40:06,880 Speaker 12: think sixty people shopping every second. They're buying eleven thousand 779 00:40:06,920 --> 00:40:08,720 Speaker 12: dollars with a product every single minute. 780 00:40:08,719 --> 00:40:09,960 Speaker 5: That's six billion a year. 781 00:40:10,000 --> 00:40:13,320 Speaker 12: That's the equivalent of an Eras tour every single quarter. 782 00:40:13,800 --> 00:40:16,200 Speaker 12: There's a lot of demand here and that's only growing 783 00:40:16,239 --> 00:40:19,600 Speaker 12: by a billion since twenty twenty four. You're seeing that 784 00:40:19,640 --> 00:40:23,120 Speaker 12: consumers are rotating their trust directly into creators. That creator 785 00:40:23,160 --> 00:40:26,000 Speaker 12: trust is up over twenty percent year over year, and 786 00:40:26,120 --> 00:40:29,280 Speaker 12: brands want to have more opportunity to reach their customer 787 00:40:29,320 --> 00:40:31,960 Speaker 12: on the platform where they are today. So just this week, 788 00:40:32,200 --> 00:40:35,000 Speaker 12: we've had brands like you mentioned, whether it's Nike Target 789 00:40:35,560 --> 00:40:40,080 Speaker 12: in the beauty category, Alta, Sephora, Tart on the sport 790 00:40:40,120 --> 00:40:43,880 Speaker 12: and athletic, it's Alo, it's Nike gets Adidas, huge global 791 00:40:43,880 --> 00:40:47,440 Speaker 12: brands launching their presence on the LTK social app to 792 00:40:47,440 --> 00:40:50,080 Speaker 12: be able to meet creators and their audiences in a 793 00:40:50,200 --> 00:40:51,320 Speaker 12: high trust environment. 794 00:40:51,360 --> 00:40:53,600 Speaker 5: That's so unique right now. So what are they actually doing? 795 00:40:53,600 --> 00:40:55,880 Speaker 5: I went onto the Nike offering for example, and the moment. 796 00:40:55,800 --> 00:40:58,440 Speaker 4: It looks like they're getting creative content and sort of 797 00:40:58,440 --> 00:40:59,799 Speaker 4: putting it onto their own landing. 798 00:41:00,280 --> 00:41:02,360 Speaker 5: How will they differentiate do you think going forward? 799 00:41:03,000 --> 00:41:05,200 Speaker 12: Yeah, so this is a whole new experience. This doesn't 800 00:41:05,200 --> 00:41:07,759 Speaker 12: exist anywhere else. What we've done is we've launched a 801 00:41:07,760 --> 00:41:10,279 Speaker 12: platform where these brands can come in and see all 802 00:41:10,320 --> 00:41:13,240 Speaker 12: the content that's being written about them on the LTK platform. 803 00:41:13,360 --> 00:41:16,520 Speaker 12: So that's been about seven million pieces of original content 804 00:41:16,920 --> 00:41:19,760 Speaker 12: just on the LTK platform alone from these. 805 00:41:19,560 --> 00:41:20,879 Speaker 5: Creators year over year. 806 00:41:21,239 --> 00:41:23,600 Speaker 12: So for example, Nike would come in, they see all 807 00:41:23,640 --> 00:41:27,240 Speaker 12: the content written about them, they can curate for their audience, 808 00:41:27,480 --> 00:41:30,120 Speaker 12: their favorite creators and the best content talking about the 809 00:41:30,120 --> 00:41:32,040 Speaker 12: products that they love. So if I'm a Nike fan, 810 00:41:32,400 --> 00:41:34,560 Speaker 12: not only can I go through my favorite creators to 811 00:41:34,640 --> 00:41:36,759 Speaker 12: find that product, but I can just search Nike, follow 812 00:41:36,840 --> 00:41:39,120 Speaker 12: Nike and see the things that they are curating. So 813 00:41:39,440 --> 00:41:42,000 Speaker 12: brands are not creating the content on LTK. It's still 814 00:41:42,080 --> 00:41:44,920 Speaker 12: creator driven, but they are able to curate it, which 815 00:41:45,000 --> 00:41:48,399 Speaker 12: is giving their audience really another path to discovery. On 816 00:41:48,480 --> 00:41:51,480 Speaker 12: the LTK app we found that one in five searches has. 817 00:41:51,360 --> 00:41:51,920 Speaker 5: A brand name. 818 00:41:52,120 --> 00:41:54,680 Speaker 12: So people might be looking for like Nike running shoes, 819 00:41:55,120 --> 00:41:58,400 Speaker 12: maybe they're looking for Abercrombie Dnum, they're looking for a 820 00:41:58,600 --> 00:42:01,600 Speaker 12: Christmas tree from Target. We see that happening one in 821 00:42:01,680 --> 00:42:04,120 Speaker 12: five times, and so this gives our brands the opportunity 822 00:42:04,160 --> 00:42:06,280 Speaker 12: to have a little bit more influence over the curation 823 00:42:06,440 --> 00:42:09,800 Speaker 12: of what that customer ultimately sees. By following that brand, 824 00:42:10,040 --> 00:42:12,280 Speaker 12: it takes a little further because what's unique on LTK 825 00:42:12,480 --> 00:42:15,040 Speaker 12: is when you follow someone, it actually means something. Our 826 00:42:15,080 --> 00:42:17,360 Speaker 12: following feed means that you get to choose that content 827 00:42:17,400 --> 00:42:19,400 Speaker 12: that shows up and when they want to meet their 828 00:42:19,400 --> 00:42:22,759 Speaker 12: customers every day. That's a really important part of building community. 829 00:42:23,200 --> 00:42:26,040 Speaker 12: It's something that is unique to LTK given the age 830 00:42:26,120 --> 00:42:29,560 Speaker 12: of AI and algorithms, but very. 831 00:42:29,520 --> 00:42:32,440 Speaker 3: Quickly we had thirty seconds. You have rich data about 832 00:42:32,480 --> 00:42:36,839 Speaker 3: behaviors in September and October. Is the consumer healthy through 833 00:42:36,880 --> 00:42:38,520 Speaker 3: your data? 834 00:42:38,640 --> 00:42:38,920 Speaker 2: They are. 835 00:42:38,960 --> 00:42:41,479 Speaker 12: We're seeing that they're spending average order values up seven 836 00:42:41,480 --> 00:42:43,880 Speaker 12: percent year over year on LTK. They're spending almost a 837 00:42:43,880 --> 00:42:46,440 Speaker 12: billion more this year than they did last year. The 838 00:42:46,480 --> 00:42:49,120 Speaker 12: biggest shift on the consumer side is that they are 839 00:42:49,200 --> 00:42:51,799 Speaker 12: expecting for out of stock products. So we saw search 840 00:42:51,840 --> 00:42:55,359 Speaker 12: for gifting gope over three hundred percent in September, more 841 00:42:55,400 --> 00:42:57,640 Speaker 12: than half of those in our consumer studies. So they 842 00:42:57,680 --> 00:43:00,680 Speaker 12: expect for creators to help them source alternative the products. 843 00:43:00,800 --> 00:43:02,600 Speaker 12: This is a huge shift because last year it was 844 00:43:02,640 --> 00:43:05,440 Speaker 12: all about price. This year it's all about in stock. 845 00:43:05,880 --> 00:43:08,399 Speaker 12: We're excited to help our brands navigate this. D're all new, 846 00:43:08,719 --> 00:43:11,880 Speaker 12: all in one creator platform that's completely free for brands 847 00:43:11,880 --> 00:43:15,040 Speaker 12: that we've just launched, where they're paying for success, not access. 848 00:43:15,080 --> 00:43:16,719 Speaker 5: It's bring it all together for them this year. 849 00:43:17,400 --> 00:43:20,640 Speaker 3: Amber Ven'sbox LTK co founder, Thank you very much. Sadly 850 00:43:20,680 --> 00:43:23,239 Speaker 3: that does it for the edition of Bloomberg Tech. Check 851 00:43:23,239 --> 00:43:26,120 Speaker 3: out the podcast you know where to find it. Happy Friday. 852 00:43:26,400 --> 00:43:27,479 Speaker 3: This is Bloomberg Tech