1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:08,920 --> 00:00:13,240 Speaker 2: This is Bloomberg business Week Daily reporting from the magazine 3 00:00:13,240 --> 00:00:17,880 Speaker 2: that helps global leaders stay ahead with insight on the people, companies, 4 00:00:17,920 --> 00:00:22,800 Speaker 2: and trends shaping today's complex economy. Plus global business finance 5 00:00:22,840 --> 00:00:26,520 Speaker 2: and tech news as it happens. The Bloomberg Business Weekdaily 6 00:00:26,640 --> 00:00:31,760 Speaker 2: Podcast with Carol Masser and Tim Steneveek on Bloomberg Radio. 7 00:00:32,360 --> 00:00:34,879 Speaker 3: I want to go to Nvidio though, because we are 8 00:00:34,880 --> 00:00:38,280 Speaker 3: going to see their numbers drop probably any moment now, 9 00:00:38,320 --> 00:00:40,240 Speaker 3: and we are seeing the stock up about eight tenths 10 00:00:40,280 --> 00:00:44,199 Speaker 3: of a percent here in the after market. Obviously a 11 00:00:44,240 --> 00:00:48,239 Speaker 3: big deal, biggest semiconductor company. What they have to say 12 00:00:48,240 --> 00:00:50,680 Speaker 3: about the AI trade, and it's not just the hyperscalers 13 00:00:50,680 --> 00:00:53,959 Speaker 3: but beyond as we heard from Kunjohn Sabania Bloomberg Intelligence, 14 00:00:53,960 --> 00:00:57,800 Speaker 3: So second tier companies are they also biding buying into 15 00:00:58,240 --> 00:00:59,680 Speaker 3: and video chips. So we'll have to see what they 16 00:00:59,720 --> 00:01:01,880 Speaker 3: have to say say. And Vidia is app folks, let's 17 00:01:01,880 --> 00:01:04,200 Speaker 3: get to it. First quarter just to DPS eighty one 18 00:01:04,240 --> 00:01:04,840 Speaker 3: cents a share. 19 00:01:05,000 --> 00:01:07,280 Speaker 4: That's a miss. Street was looking. 20 00:01:07,040 --> 00:01:10,400 Speaker 3: For ninety three cents, so twelve cents shy what the 21 00:01:10,400 --> 00:01:15,000 Speaker 3: street was expected expecting revenue is expected to be forty 22 00:01:15,040 --> 00:01:19,679 Speaker 3: five billion plus or minus two percent. First quarter revenue 23 00:01:19,720 --> 00:01:23,120 Speaker 3: forty four point one billion, that was a beat the 24 00:01:23,160 --> 00:01:26,720 Speaker 3: street expectations was forty three point twenty nine billion. First 25 00:01:26,800 --> 00:01:30,360 Speaker 3: quarter adjusted gross margin that was a miss sixty one 26 00:01:30,360 --> 00:01:34,479 Speaker 3: percent versus an estimate of seventy one percent. Company, though 27 00:01:34,560 --> 00:01:35,880 Speaker 3: saying that the second. 28 00:01:35,720 --> 00:01:39,040 Speaker 4: Quarter outlook reflects a loss in H twenty revenue of 29 00:01:39,080 --> 00:01:40,040 Speaker 4: about eight billion. 30 00:01:40,160 --> 00:01:42,520 Speaker 3: Keep in mind that when that ban came from the 31 00:01:42,560 --> 00:01:45,360 Speaker 3: administration and vide did do a write down of about 32 00:01:45,400 --> 00:01:48,480 Speaker 3: five and a half billion dollars, and Kunjan said it 33 00:01:48,520 --> 00:01:51,360 Speaker 3: was a little noisy because not all of the estimates 34 00:01:51,400 --> 00:01:54,720 Speaker 3: on the street had incorporated that full H twenty ban. 35 00:01:55,040 --> 00:01:57,760 Speaker 5: Yeah, shares bouncing around right now of about eight tenths 36 00:01:57,760 --> 00:02:00,560 Speaker 5: of one percent in the after hours. They were down earlier. 37 00:02:00,800 --> 00:02:03,680 Speaker 5: The company said that global demand for AI infrastructure is 38 00:02:03,760 --> 00:02:08,680 Speaker 5: quote incredibly strong, also saying that Blackwell's NVL seventy two 39 00:02:08,760 --> 00:02:13,160 Speaker 5: AI supercomputer is in full scale production. The company also 40 00:02:13,160 --> 00:02:16,040 Speaker 5: said the second quarter outlook reflects a loss in H 41 00:02:16,160 --> 00:02:19,480 Speaker 5: twenty revenue of about eight billion dollars. So I wonder 42 00:02:19,520 --> 00:02:23,040 Speaker 5: if that charge, Carol that they took was relatively conservative, 43 00:02:23,080 --> 00:02:24,720 Speaker 5: The company also saying it was unable to ship and 44 00:02:24,760 --> 00:02:27,720 Speaker 5: add a two point five billion dollars of H twenty 45 00:02:27,760 --> 00:02:30,960 Speaker 5: revenue in the first quarter. The company also saying it 46 00:02:31,000 --> 00:02:33,560 Speaker 5: will pay a quarterly dividend of one cent per share 47 00:02:33,800 --> 00:02:37,120 Speaker 5: that will happen on July third. Shares right now in 48 00:02:37,160 --> 00:02:40,760 Speaker 5: the after hours are moving higher, up about two point 49 00:02:40,840 --> 00:02:41,440 Speaker 5: five percent. 50 00:02:41,600 --> 00:02:43,560 Speaker 4: Yeah, up about two yeah, exactly. 51 00:02:43,919 --> 00:02:46,280 Speaker 3: The CEO, Jensen Wong, who we're going to hear from 52 00:02:46,280 --> 00:02:47,840 Speaker 3: our Ed Ludlow's going to talk with him at six 53 00:02:47,960 --> 00:02:50,440 Speaker 3: thirty pm Wall Street time on Bloomberg TV and radio. 54 00:02:50,840 --> 00:02:53,519 Speaker 3: The CEO saying the company stands at the center of transformation. 55 00:02:53,720 --> 00:02:56,320 Speaker 3: Go back to what he said about global demand for 56 00:02:56,400 --> 00:03:01,160 Speaker 3: AI infrastructure, incredibly strong adjectives, and so we're going to 57 00:03:01,240 --> 00:03:04,880 Speaker 3: want some more numbers around that. We're getting more on 58 00:03:04,919 --> 00:03:08,359 Speaker 3: the first quarter at comput revenue thirty four point sixteen billion, 59 00:03:08,400 --> 00:03:10,359 Speaker 3: a little light. Street was looking for thirty five point 60 00:03:10,480 --> 00:03:14,280 Speaker 3: forty seven billion. First quarter networking revenue four point ninety 61 00:03:14,400 --> 00:03:17,760 Speaker 3: six billion. Street estimate was three point forty five billion, 62 00:03:17,800 --> 00:03:19,520 Speaker 3: So that's a bit of a big beat. But again, 63 00:03:20,200 --> 00:03:22,280 Speaker 3: the key headlines seem to be what it says about 64 00:03:22,320 --> 00:03:26,720 Speaker 3: second quarter revenue forty five billion plus or minus two percent. 65 00:03:26,919 --> 00:03:29,880 Speaker 3: The estimate on the street is forty five point five billion, 66 00:03:29,960 --> 00:03:32,080 Speaker 3: So we could have some upside. 67 00:03:31,680 --> 00:03:34,000 Speaker 4: Tim from it, or we could see some downside from it. 68 00:03:34,080 --> 00:03:36,440 Speaker 5: We're seeing shares right now hire about about three point 69 00:03:36,480 --> 00:03:39,280 Speaker 5: two percent in the after hours. Want to bring in 70 00:03:39,400 --> 00:03:43,920 Speaker 5: Jay Goldberg, senior analyst Semiconductors and Electronics at Seaport Research Partners. 71 00:03:44,200 --> 00:03:46,560 Speaker 5: Jay joins us from San Francisco. Jay, I want to 72 00:03:46,560 --> 00:03:48,880 Speaker 5: get your reaction to earnings in just a minute. I 73 00:03:48,880 --> 00:03:51,040 Speaker 5: should note that you are the only analyst listed on 74 00:03:51,040 --> 00:03:55,720 Speaker 5: the Bloomberg terminal with a cell rating for Nvidia. Does 75 00:03:55,840 --> 00:03:58,960 Speaker 5: today's result keep you at a cell rating? 76 00:03:59,320 --> 00:04:01,160 Speaker 6: So I have to go through numbers first, but I 77 00:04:01,200 --> 00:04:02,000 Speaker 6: would say yes. 78 00:04:02,080 --> 00:04:05,520 Speaker 7: I mean, my take is that in video, the most 79 00:04:05,560 --> 00:04:07,640 Speaker 7: scrutinized company in the planet, we all have a pretty 80 00:04:07,640 --> 00:04:10,040 Speaker 7: good sense of what their numbers should look like this year, 81 00:04:10,080 --> 00:04:12,920 Speaker 7: what their capacity is working backwards from that, there's not 82 00:04:12,960 --> 00:04:13,640 Speaker 7: a lot of room. 83 00:04:13,560 --> 00:04:15,120 Speaker 6: Left for upside. Right. 84 00:04:15,120 --> 00:04:17,240 Speaker 7: There's a few things here and there, but there's not 85 00:04:17,360 --> 00:04:20,000 Speaker 7: much upside possible. But on the downside, there's still a 86 00:04:20,040 --> 00:04:21,240 Speaker 7: lot of risks. There are a lot of things that 87 00:04:21,279 --> 00:04:24,440 Speaker 7: could go wrong. There's lots of problems with the supply chain, 88 00:04:25,040 --> 00:04:27,640 Speaker 7: the fact that they keeper mentioning that Blackwell is ramping. 89 00:04:27,680 --> 00:04:30,000 Speaker 7: That was in doubt for a while. There's just a 90 00:04:30,080 --> 00:04:32,520 Speaker 7: lot of questions the companies. It's a good company, it's 91 00:04:32,520 --> 00:04:35,080 Speaker 7: well run, it's just gotten so big so quickly. 92 00:04:35,120 --> 00:04:36,720 Speaker 6: I don't think they can keep this. 93 00:04:37,160 --> 00:04:40,800 Speaker 7: The level of expectations beating that they've had for the 94 00:04:40,839 --> 00:04:42,680 Speaker 7: last three years, that just can't keep going. 95 00:04:42,720 --> 00:04:45,559 Speaker 6: And I think the headwinds are continuing to mount. 96 00:04:45,720 --> 00:04:49,200 Speaker 3: In the earning statement, in video, CEO Jensen Wong saying 97 00:04:49,240 --> 00:04:53,200 Speaker 3: global demand for Nvidia's AI infrastructure is incredibly strong. AI 98 00:04:53,760 --> 00:04:57,520 Speaker 3: inferenced token generation has surged tenfold in just one year, 99 00:04:57,640 --> 00:05:01,240 Speaker 3: and as AI agents become mainstream demand for AI computing, 100 00:05:01,600 --> 00:05:05,480 Speaker 3: we'll accelerate. Jay obviously sounds upbeat, but again, you know, 101 00:05:05,480 --> 00:05:08,200 Speaker 3: this is where we want to have some numbers around things. 102 00:05:08,839 --> 00:05:12,800 Speaker 3: The CFO saying sales of their H twenty products four 103 00:05:12,839 --> 00:05:16,120 Speaker 3: point six billion for the first quarter of twenty twenty six. 104 00:05:17,160 --> 00:05:18,920 Speaker 4: It continues to cross. 105 00:05:19,880 --> 00:05:21,760 Speaker 3: You know, is there anything that could kind of make 106 00:05:21,800 --> 00:05:23,760 Speaker 3: you say, well, wait a minute, maybe I need to 107 00:05:23,800 --> 00:05:27,159 Speaker 3: say it's not a sell maybe there is something interesting here. 108 00:05:28,200 --> 00:05:30,760 Speaker 7: So I think the underlying question is what are we 109 00:05:30,800 --> 00:05:32,320 Speaker 7: going to do with AI? Like there's a lot of 110 00:05:32,400 --> 00:05:35,680 Speaker 7: excitement around AI, but it's still in very early stages, 111 00:05:35,839 --> 00:05:37,240 Speaker 7: you know. I like to think of this as the 112 00:05:37,279 --> 00:05:40,560 Speaker 7: Internet in the nineteen seventies. We knew it was something, 113 00:05:40,600 --> 00:05:42,600 Speaker 7: but we didn't know what it would become. I think 114 00:05:42,600 --> 00:05:44,960 Speaker 7: that's where we are with AI now, and I think 115 00:05:45,000 --> 00:05:47,000 Speaker 7: it's going to take a few years for us to 116 00:05:47,040 --> 00:05:50,240 Speaker 7: really as an industry figure out what the actual consumer 117 00:05:50,400 --> 00:05:54,280 Speaker 7: use cases and applications are. And in that process there's 118 00:05:54,320 --> 00:05:56,279 Speaker 7: going to be some fits and starts, and don't I 119 00:05:56,320 --> 00:05:58,279 Speaker 7: just don't think we can keep this momentum going forever. 120 00:05:58,320 --> 00:06:01,000 Speaker 7: I know demand is good now, but we start to 121 00:06:01,000 --> 00:06:03,280 Speaker 7: look in the next year. I think people are starting 122 00:06:03,279 --> 00:06:06,039 Speaker 7: to ask good questions about what is the ROI and 123 00:06:06,080 --> 00:06:09,200 Speaker 7: these massive GPU investments all the hyperscalers and the enterprises 124 00:06:09,200 --> 00:06:11,880 Speaker 7: have made, and I don't think we've seen those yet. 125 00:06:12,240 --> 00:06:15,200 Speaker 7: I think what would sort of alter my belief is 126 00:06:15,240 --> 00:06:19,440 Speaker 7: if somebody invents some incredible consumer application for AI that 127 00:06:19,480 --> 00:06:21,720 Speaker 7: would radically accelerate things. 128 00:06:21,880 --> 00:06:25,360 Speaker 3: Hey, I just want to point out first quarter adjusted 129 00:06:25,400 --> 00:06:29,400 Speaker 3: EPs ninety six cents a share. That was three pennies 130 00:06:29,440 --> 00:06:31,440 Speaker 3: better than what the street was expecting. I think we 131 00:06:31,480 --> 00:06:35,400 Speaker 3: had a number that crossed earlier that was not accurate, 132 00:06:35,520 --> 00:06:38,400 Speaker 3: So again they did be in terms of first quarter 133 00:06:38,400 --> 00:06:43,040 Speaker 3: adjusted EPs. The second quarter forecast, just to rehash, second 134 00:06:43,120 --> 00:06:46,200 Speaker 3: quarter revenue forty five billion plus or minus two percent. 135 00:06:46,279 --> 00:06:49,040 Speaker 3: The estimate on the street is forty five point five billion. 136 00:06:49,680 --> 00:06:52,760 Speaker 3: Second quarter forecast also reflects eight billion dollars in loss 137 00:06:52,760 --> 00:06:55,160 Speaker 3: sales to China, and we know that that ban that 138 00:06:55,200 --> 00:06:58,040 Speaker 3: went into effect in April, and just continuing to check 139 00:06:58,320 --> 00:07:00,600 Speaker 3: and Video shares right now up about two point nine 140 00:07:00,640 --> 00:07:01,760 Speaker 3: percent in the aftermarket. 141 00:07:01,839 --> 00:07:04,480 Speaker 5: There's also another correction crossing right now in video. First 142 00:07:04,560 --> 00:07:07,800 Speaker 5: quarter adjusted gross margin coming in at seventy one point 143 00:07:07,920 --> 00:07:11,680 Speaker 5: three percent versus estimates of seventy one percent, so I 144 00:07:11,680 --> 00:07:15,400 Speaker 5: want to make sure that gets there. In Vidia says 145 00:07:15,440 --> 00:07:18,440 Speaker 5: the charge relates to H twenty excess inventory and by 146 00:07:18,560 --> 00:07:21,640 Speaker 5: obligations in first quarter auto revenues driven by self driving 147 00:07:21,880 --> 00:07:24,400 Speaker 5: platform sales. I want to get back to Jay Goldberg. Jay, 148 00:07:24,440 --> 00:07:26,360 Speaker 5: you made an interesting comment that this is like you know, 149 00:07:26,400 --> 00:07:28,600 Speaker 5: AI is like the Internet in the nineteen seventies. I 150 00:07:28,680 --> 00:07:31,320 Speaker 5: got to tell you playing around with chat GPT and 151 00:07:31,440 --> 00:07:35,200 Speaker 5: anthropics Claude, it blows my mind every single day getting 152 00:07:35,200 --> 00:07:37,560 Speaker 5: in a way MO blows my mind. I mean, I 153 00:07:37,600 --> 00:07:39,880 Speaker 5: mean to me, this feels like, certainly the new frontier. 154 00:07:39,880 --> 00:07:43,400 Speaker 5: What's the vision that you have if we're in the 155 00:07:43,440 --> 00:07:46,800 Speaker 5: early stages, if we're in the early innings of this game, 156 00:07:46,880 --> 00:07:48,920 Speaker 5: like what is the impact going to be? And where 157 00:07:48,920 --> 00:07:50,000 Speaker 5: will Nvidia be in that? 158 00:07:52,000 --> 00:07:54,920 Speaker 6: I think those are two separate questions, right. 159 00:07:54,920 --> 00:07:57,080 Speaker 7: I think in terms of where in Vidio is going 160 00:07:57,160 --> 00:08:00,800 Speaker 7: to be ultimately will depend on what we end up 161 00:08:01,440 --> 00:08:04,760 Speaker 7: using AI for right, And I, like I said, chat 162 00:08:04,840 --> 00:08:07,920 Speaker 7: GPT is incredible technological achievement, but in terms of like 163 00:08:08,240 --> 00:08:11,240 Speaker 7: changing everybody's day to day life, it's it's not quite 164 00:08:11,240 --> 00:08:14,160 Speaker 7: there yet. It's very useful for some people. It's it's 165 00:08:14,280 --> 00:08:16,880 Speaker 7: very useful if you're if you're writing web content or 166 00:08:16,920 --> 00:08:19,440 Speaker 7: if you're coding, but for sort of average day to 167 00:08:19,520 --> 00:08:21,720 Speaker 7: day use. I think of my my my nine year 168 00:08:21,760 --> 00:08:25,360 Speaker 7: old father or my twenty five year old niece, they 169 00:08:25,360 --> 00:08:26,520 Speaker 7: don't they don't use chat GIPT. 170 00:08:26,600 --> 00:08:29,360 Speaker 5: It's just not that useful for what Really the twenty 171 00:08:29,360 --> 00:08:33,400 Speaker 5: five year old is not using chat GPT. No, that's shocking. 172 00:08:33,600 --> 00:08:35,240 Speaker 6: No, I'm basic. I'm using it. 173 00:08:35,520 --> 00:08:37,920 Speaker 5: I'm using it more than I not more than I 174 00:08:37,960 --> 00:08:39,800 Speaker 5: use Google. But like I'll go there first. 175 00:08:40,240 --> 00:08:41,679 Speaker 3: I got to say my house, I think all of 176 00:08:41,720 --> 00:08:43,280 Speaker 3: a sudden has kind of amped up and you've got 177 00:08:43,440 --> 00:08:46,760 Speaker 3: a range of ages and using it for different things 178 00:08:46,840 --> 00:08:50,000 Speaker 3: and things like even grock and you know, yeah, it's happening. 179 00:08:51,120 --> 00:08:52,920 Speaker 6: It's I think it is happening. I think we have 180 00:08:52,920 --> 00:08:54,520 Speaker 6: a long way to go though. Forward. 181 00:08:54,960 --> 00:08:57,240 Speaker 7: The utility is really really clear, Like if you look 182 00:08:57,320 --> 00:08:59,480 Speaker 7: at if you look at search even it's not clear 183 00:08:59,520 --> 00:09:00,559 Speaker 7: how that's going to anetize. 184 00:09:01,160 --> 00:09:03,640 Speaker 6: Are we going to start adds there? What impact will 185 00:09:03,640 --> 00:09:05,920 Speaker 6: that have when we start seeing ads and jat GPT search. 186 00:09:07,120 --> 00:09:08,400 Speaker 6: I'm just making of that example. 187 00:09:08,400 --> 00:09:09,720 Speaker 7: I have no idea they're actually going to do that, 188 00:09:10,040 --> 00:09:12,000 Speaker 7: but that's going to I think that will have an impact. 189 00:09:12,000 --> 00:09:16,079 Speaker 7: I actually think I'm a big optimist about it. I 190 00:09:16,120 --> 00:09:18,280 Speaker 7: think it can be much much more than what it 191 00:09:18,360 --> 00:09:20,920 Speaker 7: is today. And I don't think it's really exciting until 192 00:09:20,920 --> 00:09:23,280 Speaker 7: we get something along those lines. 193 00:09:23,720 --> 00:09:25,960 Speaker 3: All right, We are talking with Jay Goldberg, Senior analyst 194 00:09:26,080 --> 00:09:29,439 Speaker 3: of Semiconductors and Electronics Effort Support Research Partners from San 195 00:09:29,480 --> 00:09:32,680 Speaker 3: Francisco and Video earnings. They have crossed, folks, and we 196 00:09:32,720 --> 00:09:35,360 Speaker 3: continue to see the stock up about two point nine 197 00:09:35,400 --> 00:09:38,000 Speaker 3: percent in the aftermarket. Ian King, with a write through 198 00:09:38,040 --> 00:09:41,640 Speaker 3: on the Bloomberg terminal, and Video forecast revenue of about 199 00:09:41,640 --> 00:09:44,520 Speaker 3: forty five billion in the fiscal second quarter, despite losing 200 00:09:44,640 --> 00:09:48,040 Speaker 3: eight billion in revenue from China due to export controls 201 00:09:48,440 --> 00:09:51,440 Speaker 3: imposed by the Trump administration. The company is ramping up 202 00:09:51,440 --> 00:09:56,200 Speaker 3: production of its latest semiconductor design, Blackwell, and expect strong 203 00:09:56,280 --> 00:09:59,800 Speaker 3: demand for its AI infrastructure, which the company believes will 204 00:09:59,800 --> 00:10:01,079 Speaker 3: tran form the economy. 205 00:10:01,360 --> 00:10:03,439 Speaker 4: And Video's growth is driven by its. 206 00:10:03,280 --> 00:10:06,040 Speaker 3: Dominance as you know, in the AI market or in 207 00:10:06,080 --> 00:10:09,600 Speaker 3: the market for AI accelerator chips. Companies increasingly offering its 208 00:10:09,679 --> 00:10:12,760 Speaker 3: chips as part of whole computer systems to speed up 209 00:10:12,760 --> 00:10:14,880 Speaker 3: the deployment of complex technology. 210 00:10:15,000 --> 00:10:16,800 Speaker 5: So Jay got a little bit of an update there 211 00:10:16,840 --> 00:10:19,400 Speaker 5: from Carol and from our OWNI and King about the 212 00:10:19,440 --> 00:10:22,280 Speaker 5: write through when it comes to Invidia results. Going back 213 00:10:22,280 --> 00:10:24,280 Speaker 5: to remind everybody, you're the only analyst listed on the 214 00:10:24,320 --> 00:10:27,200 Speaker 5: Bloomberg terminal with accelerating on in Video. What would you 215 00:10:27,240 --> 00:10:29,680 Speaker 5: need to see from the company today to have you 216 00:10:29,720 --> 00:10:31,120 Speaker 5: reverse course with that decision? 217 00:10:32,080 --> 00:10:33,720 Speaker 7: So I think one of the things sort of stands 218 00:10:33,760 --> 00:10:35,920 Speaker 7: out for me is a year ago there was a 219 00:10:35,960 --> 00:10:38,160 Speaker 7: line out the door for in video products. Everybody was 220 00:10:38,360 --> 00:10:41,200 Speaker 7: buying everything they could, right and if one company couldn't 221 00:10:41,240 --> 00:10:43,839 Speaker 7: take its allocation, there was somebody else who was more 222 00:10:43,840 --> 00:10:46,080 Speaker 7: than willing to step in. I think the same is 223 00:10:46,080 --> 00:10:49,160 Speaker 7: true of this eight twenty product. The company wrote it 224 00:10:49,200 --> 00:10:52,640 Speaker 7: down a couple months ago. I kind of wonder why 225 00:10:52,760 --> 00:10:55,800 Speaker 7: no one else bought that product. It's different, you know, 226 00:10:55,960 --> 00:10:59,240 Speaker 7: there's all kinds of technical things there, but still it's 227 00:10:59,280 --> 00:11:02,400 Speaker 7: compute at the right price, it would have been attractive 228 00:11:02,440 --> 00:11:02,920 Speaker 7: to somebody. 229 00:11:03,640 --> 00:11:05,920 Speaker 4: Hey what and so yeah, Oh I'm sorry, please continue. 230 00:11:06,840 --> 00:11:07,040 Speaker 6: Yeah. 231 00:11:07,040 --> 00:11:09,760 Speaker 7: So I'm just wondering how much more demand there is 232 00:11:09,800 --> 00:11:12,320 Speaker 7: right now. Again, I think AI long term is important. 233 00:11:12,840 --> 00:11:15,240 Speaker 7: In the near term, though, I think we're sort of 234 00:11:15,440 --> 00:11:17,320 Speaker 7: running out of steam as people are taking a pause 235 00:11:17,360 --> 00:11:18,760 Speaker 7: to assess what they want to do with it. 236 00:11:19,240 --> 00:11:20,800 Speaker 3: One thing I want to ask you, is it tough 237 00:11:20,840 --> 00:11:24,680 Speaker 3: to have a cell rating Considering the stock Nvidia has 238 00:11:24,960 --> 00:11:29,360 Speaker 3: rallied about twenty four percent since you initiated coverage on 239 00:11:29,440 --> 00:11:30,319 Speaker 3: April thirtieth. 240 00:11:31,240 --> 00:11:34,040 Speaker 7: Oh, it's fantastic having being the only celerated analyst on 241 00:11:34,040 --> 00:11:35,880 Speaker 7: a stock I like being the sober contrarian. 242 00:11:36,200 --> 00:11:38,200 Speaker 3: But even with the stock, you know, rallying as much 243 00:11:38,240 --> 00:11:40,040 Speaker 3: as it did, I understand it's a bounce from being 244 00:11:40,360 --> 00:11:43,600 Speaker 3: perhaps you know, taking quite a beating like many names did, 245 00:11:45,360 --> 00:11:47,880 Speaker 3: courtesy of some of the news coming out of the administration. 246 00:11:48,000 --> 00:11:50,360 Speaker 3: But I mean you still kind of conviction you're going 247 00:11:50,400 --> 00:11:51,000 Speaker 3: to hold to it. 248 00:11:51,760 --> 00:11:53,280 Speaker 6: Oh, absolutely absolutely. 249 00:11:53,559 --> 00:11:54,920 Speaker 7: I mean I have a good sense of you know, 250 00:11:55,000 --> 00:11:56,360 Speaker 7: Jensen is going to get on the call and it 251 00:11:56,400 --> 00:11:58,960 Speaker 7: can drive the stock price higher because he's a fabulous, 252 00:11:59,000 --> 00:12:01,280 Speaker 7: fabulous marketer. He really knows how to sell this company, 253 00:12:01,360 --> 00:12:03,240 Speaker 7: does a great job of that. But I think the 254 00:12:03,240 --> 00:12:05,600 Speaker 7: substance there is still I have lots of questions about it, 255 00:12:05,880 --> 00:12:08,000 Speaker 7: and I'll I'll say in you know, in the two 256 00:12:08,120 --> 00:12:10,800 Speaker 7: three months i've had this celerating out there, I haven't 257 00:12:10,800 --> 00:12:12,040 Speaker 7: got a lot push back from the street. 258 00:12:12,080 --> 00:12:14,800 Speaker 6: I haven't had investors and clients telling me that I'm crazy. 259 00:12:15,320 --> 00:12:17,040 Speaker 6: I've had a few people say I'm too too soon. 260 00:12:17,040 --> 00:12:19,160 Speaker 7: I've had a few people say I'm too late, but 261 00:12:19,240 --> 00:12:20,920 Speaker 7: nobody is sort of questioning my thesis. 262 00:12:21,640 --> 00:12:24,680 Speaker 5: We're getting some additional details about challenges in China and 263 00:12:24,760 --> 00:12:27,000 Speaker 5: China restrictions are any in King writing on the live 264 00:12:27,120 --> 00:12:29,040 Speaker 5: blog that Nvidia missed out on two and a half 265 00:12:29,480 --> 00:12:32,440 Speaker 5: billion dollars of sales in the fiscal first quarter and 266 00:12:32,480 --> 00:12:35,199 Speaker 5: will not getting projected eight billion dollars in the fiscal 267 00:12:35,280 --> 00:12:37,679 Speaker 5: second quarter. It's an amount per quarter roughly equal to 268 00:12:37,720 --> 00:12:42,680 Speaker 5: its nearest rival, AMD's total sales. You mentioned demand of 269 00:12:42,720 --> 00:12:46,560 Speaker 5: the H twenty specifically. Is that what you see as 270 00:12:46,559 --> 00:12:50,600 Speaker 5: the biggest risk? China and a lack of demand from China, Jay. 271 00:12:51,480 --> 00:12:54,280 Speaker 7: I think China is a big X factor, just because 272 00:12:54,559 --> 00:12:58,280 Speaker 7: the US government's China policy is, let's call it dynamic 273 00:12:58,360 --> 00:12:59,880 Speaker 7: and rapidly changing day to day. 274 00:13:01,160 --> 00:13:02,679 Speaker 6: I don't think that's the biggest risk. I think the 275 00:13:03,720 --> 00:13:04,640 Speaker 6: biggest question. 276 00:13:04,440 --> 00:13:07,079 Speaker 7: I have about in Nvidia is long term demand for AI, 277 00:13:07,240 --> 00:13:09,800 Speaker 7: where it's going, what it's going to be like in 278 00:13:09,840 --> 00:13:13,599 Speaker 7: the near term. I think when I speak to corporate CIOs, 279 00:13:14,280 --> 00:13:17,719 Speaker 7: they've all tested AI pilots, they've all demoed it, and 280 00:13:17,800 --> 00:13:19,439 Speaker 7: what they're finding is that they get sort of ten 281 00:13:19,520 --> 00:13:22,680 Speaker 7: twenty percent cost reductions around their AI deployments. It helps 282 00:13:22,720 --> 00:13:26,760 Speaker 7: them reduce call center costs, things like that, which is good, 283 00:13:27,040 --> 00:13:30,439 Speaker 7: but it's not necessarily enough to justify the massive investments 284 00:13:30,480 --> 00:13:32,480 Speaker 7: needed to keep in video growing the way it has 285 00:13:32,520 --> 00:13:33,000 Speaker 7: been growing. 286 00:13:33,440 --> 00:13:37,319 Speaker 5: Okay, Jay, I want to go to a story I'm 287 00:13:37,400 --> 00:13:40,160 Speaker 5: just going through. I was exchanging some texts with some 288 00:13:40,240 --> 00:13:43,439 Speaker 5: friends earlier because it doesn't sound like I have a 289 00:13:43,480 --> 00:13:45,360 Speaker 5: group of friends and like some of them are very 290 00:13:45,400 --> 00:13:48,480 Speaker 5: concerned about AI and about impacts on jobs, and we're 291 00:13:48,520 --> 00:13:52,679 Speaker 5: watching this really closely. Dario Amidae, the CEO of Anthropic, 292 00:13:52,679 --> 00:13:56,520 Speaker 5: I've interviewed him before. Axios out this morning with a 293 00:13:56,559 --> 00:14:01,760 Speaker 5: story that he basically said that AI could wipe out 294 00:14:01,960 --> 00:14:05,280 Speaker 5: about half about all entry level white collar jobs I'm 295 00:14:05,280 --> 00:14:08,360 Speaker 5: reading from Axios right now, and spike unemployment to ten 296 00:14:08,400 --> 00:14:11,880 Speaker 5: to twenty percent in the next one to five years. 297 00:14:11,880 --> 00:14:14,239 Speaker 5: He said this in an interview to Axio in San Francisco. 298 00:14:14,559 --> 00:14:16,920 Speaker 5: Axios in San Francisco, do you disagree with that? It 299 00:14:16,920 --> 00:14:19,400 Speaker 5: sounds like you're not as bullish when it comes to 300 00:14:19,440 --> 00:14:22,600 Speaker 5: the actual effect of AI on the workforce. 301 00:14:24,040 --> 00:14:27,760 Speaker 7: I think that again, I'm a techno optimist, if anything, 302 00:14:28,360 --> 00:14:31,320 Speaker 7: I think there will be absolutely there will be disruptions 303 00:14:31,320 --> 00:14:34,160 Speaker 7: to the labor force, but there will also be new 304 00:14:34,160 --> 00:14:39,760 Speaker 7: opportunities over the long term. So you know, I think 305 00:14:39,840 --> 00:14:42,560 Speaker 7: certain low level coding jobs, certain low level copy eating jobs, 306 00:14:42,600 --> 00:14:44,920 Speaker 7: Those will start to get pretty tough. Anyone who does 307 00:14:45,200 --> 00:14:47,840 Speaker 7: image creation, they're going to be challenged for a while 308 00:14:48,240 --> 00:14:50,720 Speaker 7: until we find new ways to make use of these tools. 309 00:14:51,360 --> 00:14:55,320 Speaker 7: So absolutely, you know, in the nineteen hundreds, all the 310 00:14:55,360 --> 00:14:59,600 Speaker 7: buggy whip and you know carriage, you know, carriage makers 311 00:14:59,600 --> 00:15:02,920 Speaker 7: and horse trainers, they were very disrupted, and we're going 312 00:15:02,920 --> 00:15:05,120 Speaker 7: to see something similar. But the economy will still continue 313 00:15:05,200 --> 00:15:08,720 Speaker 7: to grow and hopefully we'll find ways to use those 314 00:15:08,720 --> 00:15:10,720 Speaker 7: people to do new things with the tools we get. 315 00:15:10,800 --> 00:15:13,240 Speaker 5: I mean hopefully, or else we're in for a real 316 00:15:13,280 --> 00:15:15,000 Speaker 5: reckoning when it comes to the labor force. 317 00:15:16,000 --> 00:15:18,120 Speaker 7: Yeah, and again I think it's I think it's very 318 00:15:18,160 --> 00:15:20,960 Speaker 7: premature to talk about these sort of massive, big term 319 00:15:21,160 --> 00:15:25,960 Speaker 7: impacts of AI because the things. 320 00:15:25,720 --> 00:15:27,720 Speaker 6: We actually use day to day aren't aren't quite there yet. 321 00:15:27,760 --> 00:15:30,320 Speaker 7: You know, again, a few small categories where there is disruption, 322 00:15:30,400 --> 00:15:33,320 Speaker 7: but in a broader sense, we haven't really grasped the 323 00:15:33,360 --> 00:15:35,480 Speaker 7: full potential for AI and what it's going to do. 324 00:15:35,760 --> 00:15:36,680 Speaker 6: So then it's ways to. 325 00:15:36,680 --> 00:15:39,120 Speaker 5: Go if okay, So then it raises the question about 326 00:15:39,160 --> 00:15:43,280 Speaker 5: other companies than your view that could be beneficiaries of 327 00:15:43,800 --> 00:15:46,240 Speaker 5: the way that technology is moving. If in video in 328 00:15:46,280 --> 00:15:50,320 Speaker 5: your view has limited upside. Right now, where in your 329 00:15:50,360 --> 00:15:53,760 Speaker 5: view should investors be putting their money Broadcom? 330 00:15:54,080 --> 00:15:54,240 Speaker 6: Right? 331 00:15:54,280 --> 00:15:57,040 Speaker 7: I think today, anytime in video loses share, it's to 332 00:15:57,080 --> 00:16:00,640 Speaker 7: one of its big customers, the hyperscalers, Intel, micros off Google, 333 00:16:00,960 --> 00:16:04,280 Speaker 7: not Intel, So our Google, Microsoft, Amazon, those companies are 334 00:16:04,280 --> 00:16:07,880 Speaker 7: all in various stages of designing their own GPU alternatives, 335 00:16:08,640 --> 00:16:10,600 Speaker 7: and Broadcom is going to make a lot of money 336 00:16:10,600 --> 00:16:12,280 Speaker 7: helping those those chips come to market. 337 00:16:12,320 --> 00:16:14,200 Speaker 5: When do you think those chips will be able to 338 00:16:14,240 --> 00:16:16,480 Speaker 5: hold a candle to what Nvidia has developed. 339 00:16:17,480 --> 00:16:18,600 Speaker 6: I think we're already there today. 340 00:16:18,640 --> 00:16:21,520 Speaker 7: I think Google Google has the TPU, their tensor processing unit. 341 00:16:21,520 --> 00:16:24,120 Speaker 7: They're on their fifth or sixth generation of those. Those 342 00:16:24,160 --> 00:16:26,960 Speaker 7: are incredibly performative. They work very well for Google and 343 00:16:27,000 --> 00:16:30,440 Speaker 7: what Google needs to do, and I think other Google's 344 00:16:30,440 --> 00:16:31,960 Speaker 7: peers are going to start to see the benefits of 345 00:16:32,000 --> 00:16:34,320 Speaker 7: that and move down that path as well. 346 00:16:34,400 --> 00:16:36,720 Speaker 3: All Right, you are listening and watching Bloomberg Business Week 347 00:16:36,760 --> 00:16:38,760 Speaker 3: Daily Carol Master along with Tim Stanevik live in our 348 00:16:38,760 --> 00:16:41,840 Speaker 3: Bloomberg Interactive Broker Studio. We're talking to Jay Goldberg, Senior 349 00:16:41,840 --> 00:16:46,040 Speaker 3: analyst of Sevenconductors and Electronics over at Seaport Research Partners. 350 00:16:46,080 --> 00:16:48,720 Speaker 3: As we said, he's the only analyst listed on the 351 00:16:48,760 --> 00:16:51,560 Speaker 3: Bloomberg with a cell rating on Nvidia, and yet here 352 00:16:51,600 --> 00:16:54,200 Speaker 3: in the after market, we are definitely not seeing investors 353 00:16:54,920 --> 00:16:57,400 Speaker 3: sell shares of Nvidia stock is up about three point 354 00:16:57,480 --> 00:16:58,320 Speaker 3: three percent. 355 00:16:59,360 --> 00:17:02,360 Speaker 4: This as the company did come out and post. 356 00:17:02,160 --> 00:17:05,600 Speaker 3: Its latest quarterly update as well as outlook, and as 357 00:17:05,600 --> 00:17:09,400 Speaker 3: our ian King rights, the company it's the world's largest 358 00:17:09,520 --> 00:17:14,040 Speaker 3: semiconductor company, giving an upbeat forecast even as China slowed 359 00:17:14,080 --> 00:17:17,280 Speaker 3: down Mars some of the growth slow down in China 360 00:17:17,320 --> 00:17:19,920 Speaker 3: weight on results, but sales will be about forty five 361 00:17:19,960 --> 00:17:23,200 Speaker 3: billion dollars in the fiscal second quarter that runs through July. 362 00:17:23,920 --> 00:17:26,880 Speaker 4: That included the loss of roughly. 363 00:17:26,640 --> 00:17:29,280 Speaker 3: Eight billion dollars in revenue from China because of export 364 00:17:29,320 --> 00:17:31,399 Speaker 3: controls from the United States. 365 00:17:31,440 --> 00:17:34,360 Speaker 4: The forecast was in line with the analyst estimates according 366 00:17:34,440 --> 00:17:35,000 Speaker 4: to our data. 367 00:17:35,000 --> 00:17:37,840 Speaker 3: So what's interesting is that even with that loss we're 368 00:17:37,880 --> 00:17:41,639 Speaker 3: talking about, sales will be about forty five billion dollars. 369 00:17:41,720 --> 00:17:44,520 Speaker 3: And as our ian King rights on our live blog, 370 00:17:44,560 --> 00:17:46,959 Speaker 3: how many companies could frontload their earnings release with details 371 00:17:47,000 --> 00:17:48,720 Speaker 3: of what they're missing out on and still get a 372 00:17:48,760 --> 00:17:50,520 Speaker 3: positive reaction from investors. 373 00:17:50,880 --> 00:17:53,160 Speaker 4: So the stock as we said, still. 374 00:17:52,840 --> 00:17:55,119 Speaker 3: Holding on to about a three and a half percent 375 00:17:55,240 --> 00:17:56,760 Speaker 3: gain here in the aftermarket. 376 00:17:56,760 --> 00:17:59,080 Speaker 5: Our colleague Carmen Ryanikey writing on our live blog that 377 00:17:59,119 --> 00:18:01,840 Speaker 5: it seems traders are acting to the company's revenue forecast, 378 00:18:01,840 --> 00:18:04,560 Speaker 5: which is still basically in line even with an expected 379 00:18:04,600 --> 00:18:07,200 Speaker 5: eight billion dollar loss. When it comes to H twenty revenue, 380 00:18:07,480 --> 00:18:10,640 Speaker 5: that signals in Vidia is making up for the loss elsewhere. Jay, 381 00:18:10,680 --> 00:18:12,960 Speaker 5: I want to bring you back in with the caveat 382 00:18:13,000 --> 00:18:15,720 Speaker 5: that you haven't necessarily had the time to comb through 383 00:18:15,800 --> 00:18:18,080 Speaker 5: these results. But in your view, where do you think 384 00:18:18,080 --> 00:18:20,159 Speaker 5: in Nvidia could be making up for the loss in 385 00:18:20,320 --> 00:18:21,160 Speaker 5: H twenty revenue. 386 00:18:22,600 --> 00:18:24,879 Speaker 7: I think there's still a lot of demand from the hyperscalers. 387 00:18:24,920 --> 00:18:28,240 Speaker 7: We have a bunch of massive data center buildouts taking place. 388 00:18:28,400 --> 00:18:31,119 Speaker 7: We had, you know, big announcements in Salary, Rabia last week, 389 00:18:31,720 --> 00:18:35,879 Speaker 7: Stargate earlier this year, UAE, ku Wait, lots of big 390 00:18:36,720 --> 00:18:39,600 Speaker 7: Gulf nations are building out data center capacity. 391 00:18:40,119 --> 00:18:40,960 Speaker 6: The hyperscalers. 392 00:18:41,080 --> 00:18:45,160 Speaker 7: You know have you know, building these plans these data 393 00:18:45,160 --> 00:18:47,520 Speaker 7: centers takes multiple years and so they've had commitments and 394 00:18:47,560 --> 00:18:50,160 Speaker 7: plans in place for a long time now. So those 395 00:18:50,160 --> 00:18:53,239 Speaker 7: are going to continue, right I think the question is 396 00:18:53,680 --> 00:18:56,560 Speaker 7: next year, can the capex continue to be at these levels? 397 00:18:56,600 --> 00:18:57,480 Speaker 6: What happens there? 398 00:18:57,880 --> 00:18:59,680 Speaker 7: But a lot of what we're seeing today is stuff 399 00:18:59,720 --> 00:19:02,040 Speaker 7: that was planned on and committed to months ago. 400 00:19:03,240 --> 00:19:07,360 Speaker 5: So I guess it also raises the question about demand 401 00:19:07,400 --> 00:19:12,080 Speaker 5: from these hyperscalers, which you said continues to remain strong. 402 00:19:12,119 --> 00:19:14,199 Speaker 5: You also said that it does seem like, especially when 403 00:19:14,240 --> 00:19:16,440 Speaker 5: it comes to Google, that they could have some products that, 404 00:19:17,040 --> 00:19:19,800 Speaker 5: in your view at this point, hold a candle to 405 00:19:20,040 --> 00:19:23,040 Speaker 5: in video in terms of where in Nvidia needs to 406 00:19:23,080 --> 00:19:25,200 Speaker 5: go next. Over the last few months, we've talked a 407 00:19:25,240 --> 00:19:26,639 Speaker 5: little bit about the way, and we're going to hear 408 00:19:26,640 --> 00:19:28,680 Speaker 5: from Jensen Wong six thirty Wall Street Time just in 409 00:19:28,680 --> 00:19:31,240 Speaker 5: a little under two hours. Ed Ludlow is going to 410 00:19:31,280 --> 00:19:34,280 Speaker 5: have an Nvidia Earning special six thirty pm Wall Street 411 00:19:34,280 --> 00:19:38,200 Speaker 5: Time on Bloomberg TV and Radio. But Jay, I'm wondering 412 00:19:38,240 --> 00:19:40,679 Speaker 5: about where you think the area of growth is for 413 00:19:40,760 --> 00:19:44,200 Speaker 5: in Nvidia right now in terms of products. We've seen 414 00:19:44,400 --> 00:19:49,119 Speaker 5: Jensen Wong talk in recent months about humanoid robots, about 415 00:19:49,119 --> 00:19:52,520 Speaker 5: self driving cars as areas of potential growth. Where do 416 00:19:52,600 --> 00:19:54,359 Speaker 5: you see that the company needs to go. 417 00:19:55,560 --> 00:19:58,480 Speaker 7: I think the two critical areas for them are in inference, 418 00:19:58,760 --> 00:20:01,920 Speaker 7: compute and robots. Inference is the stage of AI computing 419 00:20:02,119 --> 00:20:04,320 Speaker 7: where it sort of goes into wide adoption when we 420 00:20:04,440 --> 00:20:05,560 Speaker 7: built the model and then we. 421 00:20:05,440 --> 00:20:06,119 Speaker 6: Need to use it. 422 00:20:07,440 --> 00:20:11,040 Speaker 7: How that actually gets deployed I mentioned earlier, It depends 423 00:20:11,080 --> 00:20:13,240 Speaker 7: a lot on what we're actually doing with it. Inference 424 00:20:13,320 --> 00:20:15,560 Speaker 7: is going to be the big battleground. I think in 425 00:20:15,640 --> 00:20:17,720 Speaker 7: Vidia has a lock on the training side of the 426 00:20:17,760 --> 00:20:21,040 Speaker 7: model building, but the inference question is is looming large. 427 00:20:21,520 --> 00:20:24,520 Speaker 7: How we're actually going to deploy this. We as consumers 428 00:20:24,520 --> 00:20:27,520 Speaker 7: when we interact with with AI, where are those chips? 429 00:20:27,560 --> 00:20:29,200 Speaker 7: Are they in our phones? Is that where the AI 430 00:20:29,240 --> 00:20:30,840 Speaker 7: is being done or is it in the data center? 431 00:20:31,520 --> 00:20:33,560 Speaker 7: And I think that that's a big open question. Nobody 432 00:20:33,560 --> 00:20:34,960 Speaker 7: has a clear answer to that yet, and it's going 433 00:20:35,040 --> 00:20:37,320 Speaker 7: to matter a lot too, you know, I guarantee they're 434 00:20:37,320 --> 00:20:39,280 Speaker 7: going to talk about on the call. And the other 435 00:20:39,320 --> 00:20:41,800 Speaker 7: one is, like you mentioned, is robots. Jensen has talked 436 00:20:41,840 --> 00:20:43,639 Speaker 7: a lot about robots. It's a big theme of his 437 00:20:44,600 --> 00:20:46,440 Speaker 7: I think I think it's an area where there's there's 438 00:20:46,520 --> 00:20:48,960 Speaker 7: you know, dozens of companies building humanoid robots that can 439 00:20:48,960 --> 00:20:52,480 Speaker 7: do all kinds of interesting things. And I'm just waiting 440 00:20:52,480 --> 00:20:54,159 Speaker 7: for a robot that can help me fold laundry. 441 00:20:54,280 --> 00:20:57,320 Speaker 5: Yeah, and you and me both. Jay, Hey, Jay, appreciate 442 00:20:57,359 --> 00:20:59,159 Speaker 5: you joining us. Got to come back soon. Jake Goldberg, 443 00:20:59,200 --> 00:21:02,640 Speaker 5: Senior Analyst, semi Conductors and Electronics and Seaport Research Partners, 444 00:21:02,720 --> 00:21:04,199 Speaker 5: joining us from San Francisco. 445 00:21:04,600 --> 00:21:08,600 Speaker 2: You're listening to the Bloomberg Business Weekdaily Podcast. Catch us 446 00:21:08,640 --> 00:21:12,119 Speaker 2: live weekday afternoons from two to five pm Eastern. Listen 447 00:21:12,119 --> 00:21:15,719 Speaker 2: on Apple CarPlay and Android Auto with the Bloomberg Business app, 448 00:21:15,840 --> 00:21:17,800 Speaker 2: or watch us live on YouTube. 449 00:21:18,200 --> 00:21:20,399 Speaker 5: A lot's happening in the universe of Elon must on 450 00:21:20,440 --> 00:21:23,120 Speaker 5: the ground and up in the sky, Up in the sky. 451 00:21:23,280 --> 00:21:27,400 Speaker 5: Space Ex's starship suffering a midflight loss, its third consecutive setback, 452 00:21:27,400 --> 00:21:30,040 Speaker 5: and it raises questions about the company's progress on the 453 00:21:30,080 --> 00:21:31,880 Speaker 5: project Close to Earth. 454 00:21:31,920 --> 00:21:32,200 Speaker 6: Though. 455 00:21:32,400 --> 00:21:36,439 Speaker 5: In an interview to CBS News, Elon Musk expressed dissatisfaction 456 00:21:36,880 --> 00:21:40,080 Speaker 5: with President Trump's giant tax bill, saying it undercut his 457 00:21:40,160 --> 00:21:42,120 Speaker 5: effort to slash government spending. 458 00:21:43,119 --> 00:21:48,040 Speaker 8: I was like disappointed to see the massive spending bill, frankly, 459 00:21:49,760 --> 00:21:53,359 Speaker 8: which increases the budge deps that does decrease it, and 460 00:21:53,400 --> 00:21:55,280 Speaker 8: that reminds the work that Podoche team is doing. 461 00:21:55,800 --> 00:21:58,280 Speaker 6: I actually thought that when this big beautiful bill came along. 462 00:21:58,320 --> 00:22:01,399 Speaker 9: I mean, like everything he don On does gets wiped 463 00:22:01,440 --> 00:22:02,359 Speaker 9: out in the first year. 464 00:22:03,960 --> 00:22:07,080 Speaker 8: I think it both can be big, board can be beautiful. 465 00:22:08,480 --> 00:22:10,560 Speaker 5: So that's a portion of the CBS interview with Elon 466 00:22:10,640 --> 00:22:13,240 Speaker 5: Musk gets set to air fully on CBS Sunday morning 467 00:22:13,359 --> 00:22:15,800 Speaker 5: this weekend. We should note that just the last couple 468 00:22:15,840 --> 00:22:19,359 Speaker 5: of hours, President Trump did dismiss criticism from Elon Musk 469 00:22:19,880 --> 00:22:21,679 Speaker 5: over the cost of his signature to AX bill. He 470 00:22:21,680 --> 00:22:25,240 Speaker 5: told reporters on Wednesday that compromises were made to secure 471 00:22:25,440 --> 00:22:28,479 Speaker 5: the necessary votes. We got Max Chafkin with us, the 472 00:22:28,480 --> 00:22:31,080 Speaker 5: co host of the podcast Everybody's Business and Elon Ink. 473 00:22:31,080 --> 00:22:33,600 Speaker 5: He's also senior reporter for Business Week. He joins us 474 00:22:33,600 --> 00:22:36,439 Speaker 5: here in the Bloomberg Interactive Brokers studio, You've got a 475 00:22:36,440 --> 00:22:39,680 Speaker 5: new story out about Elon and whether or not he 476 00:22:39,760 --> 00:22:41,240 Speaker 5: actually is leaving politics. 477 00:22:41,359 --> 00:22:42,000 Speaker 4: I feel like. 478 00:22:42,080 --> 00:22:44,560 Speaker 9: Every time we start to say he looks like he's 479 00:22:44,640 --> 00:22:49,800 Speaker 9: leaving politics, there is again making news in politics, and 480 00:22:49,840 --> 00:22:51,520 Speaker 9: you know, kind of here we go again, right. We 481 00:22:51,560 --> 00:22:54,760 Speaker 9: saw this at the end of last year when there. 482 00:22:54,640 --> 00:22:55,720 Speaker 6: Was talking the budget bill. 483 00:22:55,800 --> 00:22:59,960 Speaker 9: A Republican Congressional Republicans reaching compromise to fund the government 484 00:23:00,359 --> 00:23:03,560 Speaker 9: must kind of came out unexpectedly against that. I think 485 00:23:03,560 --> 00:23:07,280 Speaker 9: we're seeing something similar, right. He's attempting, I think, to 486 00:23:07,520 --> 00:23:12,240 Speaker 9: influence Congress here to at least shape this bill, if 487 00:23:12,320 --> 00:23:15,200 Speaker 9: not a torpedo at all together, which of course puts 488 00:23:15,280 --> 00:23:19,680 Speaker 9: him at odds in some sense with President Trump. Although, 489 00:23:19,680 --> 00:23:22,840 Speaker 9: as you heard from Trump right, Trump is also negotiating 490 00:23:23,359 --> 00:23:26,160 Speaker 9: with Congress right now over the exact contents of the bill. 491 00:23:26,359 --> 00:23:28,480 Speaker 5: So you think he actually has a goal with comments 492 00:23:28,480 --> 00:23:30,680 Speaker 5: like this, He actually has a goal of shaping policy. 493 00:23:31,000 --> 00:23:32,160 Speaker 6: And look clearly. 494 00:23:32,119 --> 00:23:35,600 Speaker 9: Yeah, I mean, like I don't know why else he 495 00:23:35,640 --> 00:23:38,639 Speaker 9: would be saying this. I mean, he seems to be 496 00:23:38,800 --> 00:23:44,720 Speaker 9: saying that this bill is insufficiently hawkish on the deficit. 497 00:23:45,080 --> 00:23:47,520 Speaker 9: That's a point of view, you know, that's pretty consistent 498 00:23:47,560 --> 00:23:51,480 Speaker 9: with Elon Musk. Also, there's a pretty substantial contingent in 499 00:23:51,520 --> 00:23:55,080 Speaker 9: the Republican Party that agrees with him. I also think 500 00:23:55,119 --> 00:23:57,600 Speaker 9: it might be worth looking at some of the specific 501 00:23:58,080 --> 00:24:00,119 Speaker 9: aspects of this bill. You know, this bill has his 502 00:24:00,800 --> 00:24:04,960 Speaker 9: implications for the electric vehicle industry. It gets rid of 503 00:24:05,000 --> 00:24:08,160 Speaker 9: these tax credits that have been very important to Elon Musk. 504 00:24:08,280 --> 00:24:11,960 Speaker 9: And other electric car companies. I don't know to what 505 00:24:12,080 --> 00:24:15,359 Speaker 9: extent those are still in play, but we don't know 506 00:24:15,400 --> 00:24:17,200 Speaker 9: what the final bill is going to look like. And 507 00:24:17,640 --> 00:24:22,200 Speaker 9: you could imagine getting Musk on side would be worth 508 00:24:22,240 --> 00:24:24,600 Speaker 9: something to support us this bill. So I suppose we'll see. 509 00:24:25,040 --> 00:24:29,640 Speaker 3: As long as Elon Musk Max is a financial supporter 510 00:24:30,000 --> 00:24:33,800 Speaker 3: of Donald Trump and Republicans, he's going to have a 511 00:24:33,840 --> 00:24:34,919 Speaker 3: direct line to the president. 512 00:24:35,000 --> 00:24:36,200 Speaker 4: Is that fair to make that assumption? 513 00:24:36,800 --> 00:24:39,640 Speaker 9: Yeah, I think it is fair, And I think even 514 00:24:39,480 --> 00:24:43,439 Speaker 9: in Trump's reaction here, you know, people, it's unclear to 515 00:24:43,480 --> 00:24:45,879 Speaker 9: me from that clip whether Elon Musk is intending to 516 00:24:45,880 --> 00:24:49,720 Speaker 9: criticize congressional Republicans or Donald Trump, although he did sort 517 00:24:49,760 --> 00:24:53,399 Speaker 9: of mock the name, you know, Trump's big beautiful bill formulation, 518 00:24:53,800 --> 00:24:57,479 Speaker 9: Trump responding to it in a pretty accommodating way, like 519 00:24:57,480 --> 00:25:01,520 Speaker 9: he's he's not punching backs, He's taking it like a 520 00:25:01,640 --> 00:25:06,080 Speaker 9: criticism from a friend or something like that. Elon Musk 521 00:25:06,240 --> 00:25:09,159 Speaker 9: is going to be very is still very important to 522 00:25:09,240 --> 00:25:12,520 Speaker 9: Donald Trump and to Republicans as a potential funder in 523 00:25:12,560 --> 00:25:17,800 Speaker 9: the midterm elections and as also a very very visible supporter, 524 00:25:18,000 --> 00:25:21,000 Speaker 9: right he you know, he's very polarizing now, but he's 525 00:25:21,040 --> 00:25:25,520 Speaker 9: still a successful business person, you know, an American industrialist. 526 00:25:26,160 --> 00:25:28,560 Speaker 9: You know, his support matters beyond money. 527 00:25:28,840 --> 00:25:30,720 Speaker 5: Carol made an interesting comment, I can't remember if it 528 00:25:30,720 --> 00:25:32,119 Speaker 5: was this week or last week, during one of our 529 00:25:32,200 --> 00:25:35,280 Speaker 5: editorial calls about the press that Elon Musk has been 530 00:25:35,280 --> 00:25:35,879 Speaker 5: doing lately. 531 00:25:36,119 --> 00:25:37,879 Speaker 4: Yeah, it's like the Eras tour. 532 00:25:39,440 --> 00:25:41,439 Speaker 5: I think it's notable for a couple of reasons. One, 533 00:25:41,560 --> 00:25:45,359 Speaker 5: when he bought X, it seemed like he was doing 534 00:25:45,359 --> 00:25:49,359 Speaker 5: everything directly to his followers and directly to the world 535 00:25:49,400 --> 00:25:52,119 Speaker 5: through X. He put his head down and worked a 536 00:25:52,119 --> 00:25:54,480 Speaker 5: lot with Doge. There were some Fox interviews over that 537 00:25:54,480 --> 00:25:56,480 Speaker 5: period of time. But as he's moved away from the 538 00:25:56,520 --> 00:25:58,200 Speaker 5: White House and over the last few weeks, we've we've 539 00:25:58,240 --> 00:26:01,439 Speaker 5: heard more and more from him, and especially through like 540 00:26:01,640 --> 00:26:03,960 Speaker 5: quote unquote traditional like legacy media. 541 00:26:04,160 --> 00:26:05,919 Speaker 3: That's what kills me because you guys make fun of me, 542 00:26:06,119 --> 00:26:07,840 Speaker 3: like my little Sunday morning shows that I watch. 543 00:26:07,880 --> 00:26:12,040 Speaker 4: But it's Sunday morning. It's a very mass wide audience. 544 00:26:12,280 --> 00:26:16,160 Speaker 9: So I think what's going on is Musk is suffering 545 00:26:16,200 --> 00:26:18,800 Speaker 9: a lot of blowback from customers. 546 00:26:18,880 --> 00:26:19,000 Speaker 10: Right. 547 00:26:19,040 --> 00:26:21,600 Speaker 9: He talks all the time about you know, the legacy 548 00:26:21,640 --> 00:26:24,280 Speaker 9: media and the Democrats and the and his various sort 549 00:26:24,280 --> 00:26:27,639 Speaker 9: of political adversaries. But what's happened when you look at 550 00:26:27,640 --> 00:26:32,280 Speaker 9: opinion polling is regular people, the people who buy musk stuff, 551 00:26:32,480 --> 00:26:35,000 Speaker 9: have turned on him. There was a really interesting poll 552 00:26:35,359 --> 00:26:38,360 Speaker 9: published the other day by Harris and Axios. They ask 553 00:26:38,440 --> 00:26:42,320 Speaker 9: people to rate how they basically how much they trust 554 00:26:42,359 --> 00:26:45,080 Speaker 9: well known companies. And you look at Tesla and SpaceX 555 00:26:45,480 --> 00:26:48,520 Speaker 9: over the last five years, and it is stunning. They 556 00:26:48,520 --> 00:26:51,520 Speaker 9: went from being some of the companies with the best 557 00:26:51,560 --> 00:26:54,440 Speaker 9: reputation to some of the companies in this universe of 558 00:26:54,440 --> 00:26:57,560 Speaker 9: one hundred companies with the worst reputation. And I think 559 00:26:57,600 --> 00:27:01,160 Speaker 9: what he's trying to do is get both investors and 560 00:27:01,320 --> 00:27:04,879 Speaker 9: consumers to focus on the other stuff, the non political stuff. 561 00:27:04,880 --> 00:27:07,440 Speaker 9: So we had this rocket launch yesterday, which, as he said, 562 00:27:07,480 --> 00:27:10,600 Speaker 9: Tim did not go very well for SpaceX, but there 563 00:27:10,640 --> 00:27:12,240 Speaker 9: was a big media role out. He did a bunch 564 00:27:12,280 --> 00:27:16,119 Speaker 9: of interviews with various outlets. I assume, although don't know 565 00:27:16,200 --> 00:27:19,840 Speaker 9: for sure, that this CBS interview was part of that, 566 00:27:21,000 --> 00:27:24,159 Speaker 9: essentially saying like, look at the space stuff, look at 567 00:27:24,200 --> 00:27:28,080 Speaker 9: the technology, which I think is smart from a messaging perspective, 568 00:27:28,119 --> 00:27:32,240 Speaker 9: because SpaceX is just inherently going to be less political 569 00:27:32,680 --> 00:27:35,560 Speaker 9: than you know, attacking various parts of the federal government. 570 00:27:35,880 --> 00:27:39,199 Speaker 9: On the other hand, Musk still needs this relationship with 571 00:27:39,240 --> 00:27:42,280 Speaker 9: Donald Trump, and SpaceX still needs this relationship with Donald Trump. 572 00:27:42,359 --> 00:27:44,240 Speaker 9: So it's going to be a difficult dance. I think 573 00:27:44,240 --> 00:27:46,719 Speaker 9: it's going to be very hard for him to undo 574 00:27:46,920 --> 00:27:49,880 Speaker 9: some of the damage that was caused with certain consumers, 575 00:27:49,920 --> 00:27:51,480 Speaker 9: especially you know, left leaning consumers. 576 00:27:51,640 --> 00:27:54,320 Speaker 3: You know, I always think about money with everything we do, 577 00:27:54,640 --> 00:27:57,080 Speaker 3: rightfully so, but there's a story on the Bloomberg about 578 00:27:57,080 --> 00:28:00,880 Speaker 3: Elon Musk's Neuralink raising six center million in a deal 579 00:28:00,920 --> 00:28:03,840 Speaker 3: that values that company at nine billion. This is coming 580 00:28:03,840 --> 00:28:07,840 Speaker 3: from Semaphore siding unidentified people. So people, it sounds like 581 00:28:07,880 --> 00:28:11,440 Speaker 3: if this is true, like still committing money to his ventures. 582 00:28:11,480 --> 00:28:14,840 Speaker 3: I mean, I wonder, Max, we live in a funny world. 583 00:28:14,960 --> 00:28:17,480 Speaker 3: Could it be six months, twelve months, eighteen months where 584 00:28:17,480 --> 00:28:19,720 Speaker 3: all of a sudden, like everybody's kind. 585 00:28:19,520 --> 00:28:21,480 Speaker 5: Of back in on Eli because we have brain chips. 586 00:28:21,560 --> 00:28:22,520 Speaker 4: Because we have brainchips. 587 00:28:22,640 --> 00:28:22,879 Speaker 8: Is that what? 588 00:28:23,359 --> 00:28:24,360 Speaker 4: Maybe there is brain chips? 589 00:28:24,400 --> 00:28:26,520 Speaker 3: But you know what I mean, Like, I don't know, 590 00:28:26,600 --> 00:28:28,800 Speaker 3: does he do something I don't know. 591 00:28:29,000 --> 00:28:32,679 Speaker 9: I think he's in a very difficult political position. I 592 00:28:32,720 --> 00:28:35,000 Speaker 9: think certainly that is what investors are hoping, you know, right. 593 00:28:35,280 --> 00:28:37,560 Speaker 9: He made some comments on the earnings call about a 594 00:28:37,600 --> 00:28:40,120 Speaker 9: month ago, essentially saying, you know, maybe I'll spend one 595 00:28:40,200 --> 00:28:43,000 Speaker 9: to two days a week advising President Trump rather than 596 00:28:43,040 --> 00:28:43,920 Speaker 9: you know, full time. 597 00:28:44,960 --> 00:28:46,560 Speaker 5: And I was saying twenty four to seven, he's going 598 00:28:46,600 --> 00:28:50,280 Speaker 5: to be on company. 599 00:28:50,200 --> 00:28:51,800 Speaker 4: Sleeping somewhere on the floors. 600 00:28:51,880 --> 00:28:52,479 Speaker 8: Who knows. 601 00:28:53,280 --> 00:28:56,440 Speaker 9: I mean, you know, investors like this. The issue is 602 00:28:57,440 --> 00:28:59,760 Speaker 9: he is now closely tied to Donald Trump, and I 603 00:28:59,800 --> 00:29:03,360 Speaker 9: don't I don't think short of really like turning critic 604 00:29:03,880 --> 00:29:06,479 Speaker 9: and saying, okay, now I support a different political party, 605 00:29:06,600 --> 00:29:09,280 Speaker 9: which could happen. I think it's going to be very 606 00:29:09,320 --> 00:29:12,400 Speaker 9: hard for him to walk that line because all you know, 607 00:29:12,520 --> 00:29:15,840 Speaker 9: politics is very polarized in this country, and it's going 608 00:29:15,880 --> 00:29:19,040 Speaker 9: to be hard to avoid, you know, winning back these 609 00:29:19,080 --> 00:29:22,920 Speaker 9: people he's alienated without in turn alienating you know, this 610 00:29:23,040 --> 00:29:25,760 Speaker 9: kind of new cohort or conservatives who still very much 611 00:29:25,800 --> 00:29:26,800 Speaker 9: support Donald Trump. 612 00:29:27,360 --> 00:29:30,000 Speaker 5: Just twenty seconds left on the SpaceX launch that didn't 613 00:29:30,000 --> 00:29:33,080 Speaker 5: go exactly as planned? Can can they still spin it 614 00:29:33,160 --> 00:29:34,640 Speaker 5: as a win. That's what they're doing. 615 00:29:34,920 --> 00:29:37,360 Speaker 9: You know, all these launches are experiments. That's they're going 616 00:29:37,440 --> 00:29:40,000 Speaker 9: to say so, so you shouldn't really focus on the result. 617 00:29:40,200 --> 00:29:43,280 Speaker 9: That said, a lot has to go right between now 618 00:29:43,320 --> 00:29:45,560 Speaker 9: and next year for them to hit the timeline. And 619 00:29:45,640 --> 00:29:48,080 Speaker 9: each time one of these launches does not go right, 620 00:29:48,360 --> 00:29:49,080 Speaker 9: it gets harder. 621 00:29:49,480 --> 00:29:52,560 Speaker 5: Max Chafkin, the co host of the podcast Everybody's Business 622 00:29:52,600 --> 00:29:56,320 Speaker 5: and Elon Ink, also senior reporter for Bloomberg BusinessWeek. He's 623 00:29:56,360 --> 00:29:59,120 Speaker 5: joining us here in the Bloomberg Interactive at Brokers Studio. 624 00:30:00,880 --> 00:30:04,760 Speaker 2: This is the Bloomberg Business Week Daily Podcast. Listen live 625 00:30:04,840 --> 00:30:07,719 Speaker 2: each weekday starting at two pm Eastern on Apple car 626 00:30:07,840 --> 00:30:10,640 Speaker 2: Play and the Android Auto with the Bloomberg Business App. 627 00:30:10,720 --> 00:30:13,520 Speaker 2: You can also listen live on Amazon Alexa from our 628 00:30:13,520 --> 00:30:17,680 Speaker 2: flagship New York station, Just Say Alexa played Bloomberg eleven thirty. 629 00:30:19,280 --> 00:30:21,400 Speaker 5: It is one of the most read stories on the 630 00:30:21,440 --> 00:30:24,320 Speaker 5: Bloomberg terminal right now. ETFs have a mass trillions of 631 00:30:24,360 --> 00:30:28,600 Speaker 5: dollars by offering investors greater tax efficiency, liquidity, and lower 632 00:30:28,600 --> 00:30:32,400 Speaker 5: costs than mutual funds. It's why we've seen inflows that 633 00:30:32,440 --> 00:30:37,520 Speaker 5: are so huge into ETFs and not into mutual funds. Now, 634 00:30:37,800 --> 00:30:40,400 Speaker 5: a regulatory shift is poised to bring ETFs and mutual 635 00:30:40,400 --> 00:30:43,640 Speaker 5: funds closer together, but it also threatens to complicate the 636 00:30:43,760 --> 00:30:47,640 Speaker 5: very features that fueled the ETF boom. Done Emi Grafeo 637 00:30:47,720 --> 00:30:50,560 Speaker 5: and Wildona Hire right about the dual share class structures 638 00:30:50,600 --> 00:30:52,680 Speaker 5: that could be approved as soon as the summer, and 639 00:30:52,720 --> 00:30:56,600 Speaker 5: the warnings about what could transpire if the market becomes stressed. 640 00:30:56,600 --> 00:30:58,920 Speaker 5: They're both Bloomberg News Crossouts reporters and they join us 641 00:30:58,920 --> 00:31:02,440 Speaker 5: here in the Bloomberg Interactive Brokers Studio. Emily, I want 642 00:31:02,440 --> 00:31:06,400 Speaker 5: to start with what this looming shift is, this regulatory shift. 643 00:31:06,440 --> 00:31:09,640 Speaker 5: Explain what exactly it is and why it's happening. 644 00:31:10,440 --> 00:31:13,160 Speaker 10: Okay, so right now, when you're an investor and you 645 00:31:13,200 --> 00:31:17,239 Speaker 10: buy a fund, you buy a mutual fund, or you 646 00:31:17,280 --> 00:31:20,840 Speaker 10: buy an ETF, and ETFs have one share class. It's 647 00:31:20,920 --> 00:31:23,000 Speaker 10: just an ETF, you get the ticker you buy. If 648 00:31:23,040 --> 00:31:26,600 Speaker 10: you buy a mutual fund, depending on what avenue you're 649 00:31:26,600 --> 00:31:29,200 Speaker 10: buying it through, you'll be in a different share class. 650 00:31:29,200 --> 00:31:32,200 Speaker 10: You could be in the institutional one, the retail one, 651 00:31:32,400 --> 00:31:34,000 Speaker 10: the advisor friendly one. 652 00:31:34,120 --> 00:31:35,400 Speaker 1: Sometimes their price differently. 653 00:31:35,480 --> 00:31:37,160 Speaker 5: Yeah, I was going to say, sometimes the share class 654 00:31:37,160 --> 00:31:40,840 Speaker 5: has a different expense ratio or I don't know, like 655 00:31:41,160 --> 00:31:44,640 Speaker 5: that's the difference, right, Yeah, yetifically exclusively through your private wealth. 656 00:31:44,400 --> 00:31:45,440 Speaker 1: Matter or something exactly. 657 00:31:45,520 --> 00:31:47,400 Speaker 10: So maybe you get like a discount because you're using 658 00:31:47,440 --> 00:31:50,280 Speaker 10: it through like your employer or something, but ETFs don't 659 00:31:50,480 --> 00:31:54,800 Speaker 10: have that. Twenty over twenty years ago, actually Vanguard made 660 00:31:54,840 --> 00:31:58,400 Speaker 10: this patent where they could create a dual share class 661 00:31:58,400 --> 00:32:01,320 Speaker 10: fund where they have a mutual fund and an ETF 662 00:32:01,520 --> 00:32:04,120 Speaker 10: all in one, so you have multiple mutual fund share 663 00:32:04,120 --> 00:32:07,600 Speaker 10: classes and then one share class of that is exchange traded. 664 00:32:08,040 --> 00:32:10,600 Speaker 10: The reason why they did this and they patented it 665 00:32:10,640 --> 00:32:14,800 Speaker 10: is because it makes the fund in total more tax efficient. 666 00:32:14,920 --> 00:32:18,400 Speaker 10: Basically takes all the tax efficiency of the ETF and 667 00:32:18,480 --> 00:32:21,040 Speaker 10: puts it onto the mutual fund. So they figured this out. 668 00:32:21,080 --> 00:32:23,920 Speaker 10: They were like, great idea, let's patent it, make sure 669 00:32:24,000 --> 00:32:27,080 Speaker 10: no one else does it, and they save their clients 670 00:32:27,160 --> 00:32:29,640 Speaker 10: billions on taxes over the years. 671 00:32:30,000 --> 00:32:31,720 Speaker 1: The patent expired two years. 672 00:32:31,520 --> 00:32:34,960 Speaker 10: Ago, so now everyone else on Wall Street is trying 673 00:32:35,040 --> 00:32:36,360 Speaker 10: to get in on it. 674 00:32:36,680 --> 00:32:39,240 Speaker 4: Can anybody and everybody do it? Goes on it? Well 675 00:32:39,280 --> 00:32:39,680 Speaker 4: not yet. 676 00:32:39,760 --> 00:32:42,680 Speaker 11: So we have more than fifty firms that have applied 677 00:32:42,880 --> 00:32:45,520 Speaker 11: for the dual share class, but we are still waiting 678 00:32:45,920 --> 00:32:50,280 Speaker 11: from regulators to hear from regulators. We are expecting, you know, 679 00:32:50,320 --> 00:32:54,040 Speaker 11: the industries, expecting the SEC to greenlight this and to 680 00:32:54,120 --> 00:32:57,440 Speaker 11: actually allow it, maybe possibly as soon as this summer. 681 00:32:57,720 --> 00:33:00,600 Speaker 11: But you know, right now we're just in in wait 682 00:33:00,640 --> 00:33:03,040 Speaker 11: and see mode to see if we can actually get 683 00:33:03,040 --> 00:33:03,640 Speaker 11: approval on this. 684 00:33:03,840 --> 00:33:06,400 Speaker 5: Build on what's the concern here? If there is stress 685 00:33:06,480 --> 00:33:08,760 Speaker 5: to the market, if there are liquidity issues, like what 686 00:33:08,800 --> 00:33:10,920 Speaker 5: are the risks that some of your sources are sharing 687 00:33:10,960 --> 00:33:11,160 Speaker 5: with you. 688 00:33:11,520 --> 00:33:13,480 Speaker 11: Well, there's a couple of different concerns, but one of 689 00:33:13,520 --> 00:33:16,920 Speaker 11: the main ones is, you know, issues related to what 690 00:33:17,000 --> 00:33:21,240 Speaker 11: Emily was just talking about in terms of the tax efficiency. 691 00:33:21,480 --> 00:33:26,720 Speaker 11: So if you have a mutual fund and ETF together 692 00:33:27,680 --> 00:33:30,760 Speaker 11: and you and the mutual fund has to pay out 693 00:33:30,880 --> 00:33:36,160 Speaker 11: capital gains distributions, then in that new structure, the ETF 694 00:33:36,320 --> 00:33:39,400 Speaker 11: investors could potentially also be hit. And there is some 695 00:33:39,600 --> 00:33:43,080 Speaker 11: historical precedent. There actually is a fund of anguart fund 696 00:33:43,280 --> 00:33:46,920 Speaker 11: that back in two thousand and nine had huge outflows 697 00:33:46,960 --> 00:33:49,480 Speaker 11: and so the ETF share class investor, you know, the 698 00:33:49,520 --> 00:33:52,680 Speaker 11: ETF investors were also hit with a fourteen percent distribution. 699 00:33:52,920 --> 00:33:54,200 Speaker 4: So there is some. 700 00:33:54,320 --> 00:33:57,240 Speaker 11: Precedent and so a lot of market watchers or you know, 701 00:33:57,280 --> 00:33:59,040 Speaker 11: people who are maybe looking at this from a critical 702 00:33:59,080 --> 00:34:03,040 Speaker 11: angle or thinking ahead and saying that potentially this is 703 00:34:03,560 --> 00:34:04,719 Speaker 11: an issue that could come up. 704 00:34:04,760 --> 00:34:06,080 Speaker 4: All right, I'm going to age myself. 705 00:34:06,120 --> 00:34:09,320 Speaker 3: But when I started this career about three decades in accounting, 706 00:34:10,520 --> 00:34:11,680 Speaker 3: one of my first things I did was like a 707 00:34:11,760 --> 00:34:14,400 Speaker 3: mutual fund show and it was just like it was 708 00:34:14,440 --> 00:34:16,279 Speaker 3: kind of everybody was all of a sudden, you know, 709 00:34:16,360 --> 00:34:18,880 Speaker 3: getting investment plans at their companies, and it was the 710 00:34:18,880 --> 00:34:21,040 Speaker 3: big thing. And I guess and then now we've kind 711 00:34:21,080 --> 00:34:23,800 Speaker 3: of seen the ETF rush over what the last decade 712 00:34:23,880 --> 00:34:24,560 Speaker 3: or so in counting? 713 00:34:25,480 --> 00:34:26,360 Speaker 4: Do we need both? 714 00:34:27,840 --> 00:34:27,920 Speaker 9: Like? 715 00:34:28,080 --> 00:34:28,919 Speaker 4: Is it just a case? 716 00:34:28,960 --> 00:34:30,680 Speaker 3: Like as I saw this story, I'm like, Okay, here 717 00:34:30,719 --> 00:34:34,000 Speaker 3: it goes the mergeover to ETFs. Is this a first 718 00:34:34,040 --> 00:34:37,000 Speaker 3: step of eventually everything being converted? Or are there are 719 00:34:37,000 --> 00:34:41,880 Speaker 3: advantages to having one pure bread ETF versus one pure. 720 00:34:41,719 --> 00:34:42,919 Speaker 4: Bread mutual fund? 721 00:34:42,960 --> 00:34:45,400 Speaker 10: Yeah? I think when we started out writing this story, 722 00:34:45,520 --> 00:34:48,080 Speaker 10: we wanted to understand. There was this report from Seruly 723 00:34:48,160 --> 00:34:51,600 Speaker 10: and they posed this question of like, why would you 724 00:34:51,719 --> 00:34:54,560 Speaker 10: buy if you're an investor in an ETF, why would 725 00:34:54,560 --> 00:34:56,239 Speaker 10: you buy an ETF attached to. 726 00:34:56,239 --> 00:34:58,440 Speaker 1: A mutual fund if you could just buy a standalone one? 727 00:34:58,560 --> 00:34:58,680 Speaker 9: Right? 728 00:34:58,719 --> 00:35:00,600 Speaker 1: Because the sec one of their. 729 00:35:00,680 --> 00:35:03,600 Speaker 10: Concerns that they flagged, and issuers will say that they've 730 00:35:03,640 --> 00:35:06,080 Speaker 10: answered them. One of the concerns is is there going 731 00:35:06,120 --> 00:35:09,560 Speaker 10: to be this issue of like cross subsidization, one class 732 00:35:09,600 --> 00:35:12,719 Speaker 10: subsidized in the other. To answer your question, though, there 733 00:35:12,760 --> 00:35:16,760 Speaker 10: are some advantages to mutual funds. A lot of mutual 734 00:35:16,760 --> 00:35:21,000 Speaker 10: funds are already in tax exempt accounts, So a lot 735 00:35:21,040 --> 00:35:25,040 Speaker 10: of mutual funds in people's four to one k's. That's 736 00:35:25,080 --> 00:35:28,439 Speaker 10: probably the four to one k technology. It's not really 737 00:35:28,480 --> 00:35:32,400 Speaker 10: suited to hold ETFs. So most of our sources expect 738 00:35:32,400 --> 00:35:34,400 Speaker 10: that that that's a pretty big part of the market 739 00:35:34,400 --> 00:35:34,880 Speaker 10: that will. 740 00:35:34,760 --> 00:35:36,960 Speaker 1: Stay in mutual funds. 741 00:35:37,360 --> 00:35:40,680 Speaker 10: This structure is more for maybe if you're an investor 742 00:35:40,719 --> 00:35:42,239 Speaker 10: that you've been sitting in a mutual. 743 00:35:42,000 --> 00:35:45,080 Speaker 1: Fund in like your brokerage account for years and years, 744 00:35:45,120 --> 00:35:46,280 Speaker 1: and you have all. 745 00:35:46,120 --> 00:35:48,640 Speaker 10: Of these embedded capital gains that if you were to 746 00:35:48,680 --> 00:35:50,600 Speaker 10: sell you would pay a huge. 747 00:35:51,600 --> 00:35:52,680 Speaker 1: Capital gains tax on. 748 00:35:52,880 --> 00:35:55,359 Speaker 10: You could tax free convert into the ETF with this 749 00:35:55,520 --> 00:35:58,400 Speaker 10: and maybe wash out at least some of the taxes. 750 00:35:58,400 --> 00:35:59,239 Speaker 1: That's the idea here. 751 00:36:00,239 --> 00:36:03,719 Speaker 5: Build on our people or firms still launching mutual funds, 752 00:36:03,760 --> 00:36:06,280 Speaker 5: are they going all in on atfs? 753 00:36:06,760 --> 00:36:09,399 Speaker 11: I mean, we're atf reporters, so I'm gonna say they're 754 00:36:09,440 --> 00:36:10,520 Speaker 11: all going all in on the. 755 00:36:12,560 --> 00:36:13,359 Speaker 10: Coperation vice. 756 00:36:13,800 --> 00:36:16,800 Speaker 5: But it has seemed like even some of the huge 757 00:36:17,719 --> 00:36:21,720 Speaker 5: traditional mutual fund companies, like a Capitol Group for example, 758 00:36:21,719 --> 00:36:24,120 Speaker 5: I think you spoke to them at Milken Carol. 759 00:36:25,719 --> 00:36:28,680 Speaker 11: MFS is one hundred and one years old and they 760 00:36:28,760 --> 00:36:30,120 Speaker 11: launched five ETFs. 761 00:36:29,800 --> 00:36:31,919 Speaker 5: Lash like that's that's a big deal. 762 00:36:32,320 --> 00:36:34,440 Speaker 11: I think all of them are watching where the money 763 00:36:34,480 --> 00:36:39,240 Speaker 11: is flowing, and mutual funds as a category are seeing outflows, 764 00:36:39,239 --> 00:36:42,719 Speaker 11: and ETFs are seeing record inflows every single year. And 765 00:36:42,800 --> 00:36:48,160 Speaker 11: obviously we're seeing like hundreds of new ETFs every single year, 766 00:36:48,280 --> 00:36:52,360 Speaker 11: and not all of them are you know, home runs, 767 00:36:52,800 --> 00:36:57,360 Speaker 11: but you just need one. If you're a small etf 768 00:36:57,400 --> 00:37:00,799 Speaker 11: issuer and you have one hit, that's it. 769 00:37:00,920 --> 00:37:02,720 Speaker 1: Like that, you're you're set. 770 00:37:02,840 --> 00:37:05,520 Speaker 11: Like you know, if you have one strategy that that 771 00:37:05,719 --> 00:37:08,120 Speaker 11: you know, maybe a ton of retail investors are attracted to, 772 00:37:08,480 --> 00:37:12,800 Speaker 11: or something new, something that truly is innovative, it can. 773 00:37:12,680 --> 00:37:13,960 Speaker 1: Work out really well for you. 774 00:37:14,040 --> 00:37:16,000 Speaker 11: So a lot of people are looking at that and 775 00:37:16,040 --> 00:37:17,080 Speaker 11: thinking about. 776 00:37:16,920 --> 00:37:17,440 Speaker 4: Well why not. 777 00:37:17,560 --> 00:37:20,640 Speaker 11: It's pretty cheap actually to file and a lot of 778 00:37:20,640 --> 00:37:23,839 Speaker 11: times to launch ETFs. It's a bit obviously, it's very 779 00:37:23,880 --> 00:37:27,640 Speaker 11: difficult to attract assets and attention and eyeballs, et cetera. 780 00:37:28,000 --> 00:37:30,560 Speaker 11: But if you can do it, you know, you can 781 00:37:30,600 --> 00:37:31,799 Speaker 11: get you can get a home run. 782 00:37:31,840 --> 00:37:33,680 Speaker 3: I mean, is there something to learn by what Vanguard 783 00:37:33,680 --> 00:37:36,560 Speaker 3: did and kind of where this then maybe ultimately goes Yeah. 784 00:37:36,600 --> 00:37:39,440 Speaker 10: I mean, well, one, using the structure, they were able 785 00:37:39,480 --> 00:37:45,640 Speaker 10: to save clients in mutual funds a lot on taxes. 786 00:37:45,760 --> 00:37:50,200 Speaker 10: Vanguard gets consistent inflows. So then this this concern about 787 00:37:50,600 --> 00:37:55,080 Speaker 10: the capital gains distributions like bleeding into the ETF, it's 788 00:37:55,120 --> 00:37:57,920 Speaker 10: really only concern concerning if the mutual fund gets a 789 00:37:57,960 --> 00:38:00,640 Speaker 10: ton of outflows and has to like sell shares to 790 00:38:01,280 --> 00:38:05,720 Speaker 10: meet a redemption. They've been really successful. But I mean, Carol, 791 00:38:05,760 --> 00:38:08,840 Speaker 10: they are Vanguard. That's why get huge flows. They have 792 00:38:08,880 --> 00:38:12,920 Speaker 10: a huge audience. I think everyone saw Vanguard's success. I 793 00:38:12,960 --> 00:38:16,239 Speaker 10: think most fund managers are realistic and that like, they 794 00:38:16,239 --> 00:38:19,680 Speaker 10: don't have the scale the Vanguard has. Fair but if 795 00:38:19,680 --> 00:38:21,719 Speaker 10: this is a way to maybe squeeze a little bit 796 00:38:21,719 --> 00:38:24,120 Speaker 10: out and get a couple more assets through now having 797 00:38:24,160 --> 00:38:27,640 Speaker 10: an ETF, might as well try. 798 00:38:26,960 --> 00:38:30,120 Speaker 11: But if I can add, yeah, you know, market watchers 799 00:38:30,160 --> 00:38:34,000 Speaker 11: critics people We've talked to analysts who are anticipating any 800 00:38:34,000 --> 00:38:36,040 Speaker 11: of the potential conflicts with this. They say it's not 801 00:38:36,080 --> 00:38:40,160 Speaker 11: a panacea for mutual fund managers to stench outflows like 802 00:38:40,920 --> 00:38:43,600 Speaker 11: mutual funds still are expected to. 803 00:38:43,600 --> 00:38:45,239 Speaker 4: Keep seeing outflows. 804 00:38:45,239 --> 00:38:49,200 Speaker 11: So even if you get this dual share class structure approved, 805 00:38:49,400 --> 00:38:52,160 Speaker 11: it doesn't mean that your outflows are going to You 806 00:38:52,160 --> 00:38:54,600 Speaker 11: know that you'll be all set terms of performance is 807 00:38:54,680 --> 00:38:56,480 Speaker 11: bad saying exactly, Bill. 808 00:38:56,320 --> 00:38:59,160 Speaker 5: Donnie, you mentioned that if you have a successful ETF, 809 00:38:59,560 --> 00:39:03,040 Speaker 5: it can be game changing for a smaller term. What 810 00:39:03,160 --> 00:39:06,920 Speaker 5: about if it's Trump Media and Technology, for example, you 811 00:39:06,960 --> 00:39:10,520 Speaker 5: wrote about this company recently. It's majority owned by the 812 00:39:10,560 --> 00:39:13,120 Speaker 5: President of the United States, and you wrote that they're 813 00:39:13,160 --> 00:39:15,440 Speaker 5: laying the groundwork to come out with some ETFs. 814 00:39:15,640 --> 00:39:16,040 Speaker 1: They are. 815 00:39:16,320 --> 00:39:19,200 Speaker 11: It's actually an unusual move to pre announce that you 816 00:39:19,280 --> 00:39:23,520 Speaker 11: are planning to launch ETFs. Usually, issuers keep their ideas 817 00:39:23,560 --> 00:39:27,040 Speaker 11: close to their what's the saying, to their vest, to 818 00:39:27,080 --> 00:39:30,399 Speaker 11: their heart, and close to the vest, and so it's 819 00:39:30,480 --> 00:39:32,440 Speaker 11: very unusual to pre announce that you're going to be 820 00:39:32,480 --> 00:39:36,000 Speaker 11: doing something. But Trump Media did say that they are 821 00:39:36,239 --> 00:39:41,160 Speaker 11: planning on soon filing and launching ETFs, and separately Managed 822 00:39:41,160 --> 00:39:44,919 Speaker 11: accounts SMAs with three different themes, oil and gas, made 823 00:39:44,960 --> 00:39:47,000 Speaker 11: in America, and cryptocurrencies. 824 00:39:47,400 --> 00:39:48,399 Speaker 4: The catch here is. 825 00:39:48,360 --> 00:39:53,719 Speaker 11: Obviously all of that is tied to the president's various policies, 826 00:39:53,760 --> 00:39:58,400 Speaker 11: whether they're terrifilated or cryptocurrency related. Obviously, oil and gas 827 00:39:58,600 --> 00:40:01,200 Speaker 11: was a big theme when he was running for re election, right, 828 00:40:01,680 --> 00:40:05,800 Speaker 11: But more than sixty oil and gas ETFs already exist, 829 00:40:06,000 --> 00:40:12,000 Speaker 11: more than sixty focus. There's even a handful of made 830 00:40:12,000 --> 00:40:14,799 Speaker 11: in America ETFs already, and so what a lot of 831 00:40:15,000 --> 00:40:18,040 Speaker 11: ETF you know, analysts ETF. 832 00:40:18,120 --> 00:40:19,680 Speaker 1: The industry is looking. 833 00:40:19,440 --> 00:40:23,040 Speaker 11: At this and thinking it's you know, you're adding to 834 00:40:23,080 --> 00:40:27,279 Speaker 11: the mix of an already saturated, oversaturated market. But it 835 00:40:27,320 --> 00:40:30,880 Speaker 11: does come with potentially the president being able to, you know, 836 00:40:30,920 --> 00:40:32,680 Speaker 11: maybe go out and say you can buy my phones 837 00:40:32,760 --> 00:40:36,319 Speaker 11: or something along those lines, and that that might you know, 838 00:40:36,440 --> 00:40:40,319 Speaker 11: hinder or hurt his competitors, the people who already have 839 00:40:40,360 --> 00:40:41,080 Speaker 11: these et al. 840 00:40:41,040 --> 00:40:42,840 Speaker 3: Right, that's a great story that you have on the terminal. 841 00:40:42,880 --> 00:40:44,600 Speaker 3: We're gonna give you guys equal love because you guys 842 00:40:44,600 --> 00:40:46,680 Speaker 3: did a story together, that was your story, and well 843 00:40:46,719 --> 00:40:49,160 Speaker 3: you've got another ETF story. We've just got about forty 844 00:40:49,160 --> 00:40:52,600 Speaker 3: seconds left here about State Street looking to kind of 845 00:40:52,600 --> 00:40:55,120 Speaker 3: double down on it's a bit to bring private assets 846 00:40:55,160 --> 00:40:59,319 Speaker 3: to a broader spectrum of investors. So this is an ETF. 847 00:40:59,320 --> 00:41:01,680 Speaker 3: This is an ets the private market world. 848 00:41:01,880 --> 00:41:04,520 Speaker 10: Yeah, this is a private credit ETF. They have one 849 00:41:04,560 --> 00:41:08,480 Speaker 10: already and launched in February. The flows have been very lackluster, 850 00:41:09,120 --> 00:41:11,520 Speaker 10: especially for Stage Street. They're a big issuer. They've only 851 00:41:11,560 --> 00:41:14,480 Speaker 10: seen like five million inflows over a couple of months. 852 00:41:14,480 --> 00:41:16,400 Speaker 10: But they are doubling down. This one's going to be 853 00:41:16,400 --> 00:41:20,200 Speaker 10: a short duration private acid ETF. The one they have 854 00:41:20,280 --> 00:41:21,840 Speaker 10: now it's a little bit longer duration. 855 00:41:22,600 --> 00:41:23,960 Speaker 4: Markets are longer duration. 856 00:41:24,920 --> 00:41:26,960 Speaker 10: Well they said, yeah, they said this one's one to 857 00:41:27,040 --> 00:41:29,719 Speaker 10: three years. It's still in the early stages. 858 00:41:30,200 --> 00:41:31,920 Speaker 1: Yeah, I don't know. 859 00:41:32,200 --> 00:41:35,319 Speaker 3: Maybe you guys might you should do. 860 00:41:35,320 --> 00:41:37,239 Speaker 4: I know we have an ATF podcast, but you guys 861 00:41:37,239 --> 00:41:38,719 Speaker 4: should do an ETFO. 862 00:41:40,960 --> 00:41:41,200 Speaker 8: Show. 863 00:41:42,440 --> 00:41:46,680 Speaker 3: And La Grafe the Donna Hirich so appreciated both Bloomberg 864 00:41:46,719 --> 00:41:47,760 Speaker 3: News crocessset reporters. 865 00:41:47,800 --> 00:41:50,080 Speaker 4: Check them out on the Bloomberg and a Bloomberg dot com. 866 00:41:50,440 --> 00:41:55,080 Speaker 2: This is the Bloomberg Business Week Daily podcast, available on Apple, 867 00:41:55,239 --> 00:41:59,160 Speaker 2: Spotify and anywhere else you get your podcasts. Listen live 868 00:41:59,200 --> 00:42:02,960 Speaker 2: weekday afternoonunes from two to five pm Eastern, on Bloomberg 869 00:42:03,000 --> 00:42:06,800 Speaker 2: dot com, the iHeartRadio app tune In, and the Bloomberg 870 00:42:06,880 --> 00:42:09,960 Speaker 2: Business app. You can also watch us live every weekday 871 00:42:10,000 --> 00:42:13,000 Speaker 2: on YouTube and always on the Bloomberg terminal