1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:05,240 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day, we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moving news. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets Podcast on Apple Podcasts or wherever 6 00:00:17,360 --> 00:00:20,480 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:20,840 --> 00:00:23,120 Speaker 1: Let's talk about WTI Crudo. Matt just called it at 8 00:00:23,120 --> 00:00:26,079 Speaker 1: where Dan We hit eighty dollars a barrel yesterday on 9 00:00:26,200 --> 00:00:28,440 Speaker 1: WTA Crude. I don't know where this is coming, so 10 00:00:28,520 --> 00:00:29,280 Speaker 1: let's bring in some people. 11 00:00:29,320 --> 00:00:31,560 Speaker 2: And it was fast, right. We went from seventy eighty 12 00:00:31,680 --> 00:00:32,199 Speaker 2: very quickly. 13 00:00:32,320 --> 00:00:37,000 Speaker 1: Exactly. We're blow sixty eight dollars in late June for 14 00:00:37,159 --> 00:00:38,800 Speaker 1: w TA crude. Now here we are at eighty. Go 15 00:00:38,840 --> 00:00:41,920 Speaker 1: figure Mike McLoone, though he knows what's going on. So 16 00:00:41,960 --> 00:00:45,080 Speaker 1: does Fernando Valley. They are both analys covering the energy 17 00:00:45,159 --> 00:00:48,839 Speaker 1: space for Bloomberg Intelligence. Hey, Mike, let's start with you. You're 18 00:00:48,720 --> 00:00:52,160 Speaker 1: done in Bambi, Miami, Florida. How is it now, tough guy? 19 00:00:52,840 --> 00:00:55,800 Speaker 3: It's actually cooler here than you are there. You're high 20 00:00:55,880 --> 00:00:59,000 Speaker 3: yesterday ninety in the low eighties, so you got it 21 00:00:59,040 --> 00:01:00,040 Speaker 3: comes out the cool op. 22 00:01:00,040 --> 00:01:03,200 Speaker 1: All right, buddy. How did we get here with wtacrude 23 00:01:03,200 --> 00:01:04,360 Speaker 1: oil at eighty bucks a barrel? 24 00:01:04,440 --> 00:01:06,280 Speaker 2: We were at seventy at the beginning of July, so 25 00:01:06,360 --> 00:01:08,120 Speaker 2: within a month we're up ten bucks. 26 00:01:08,560 --> 00:01:10,240 Speaker 3: So let's look at it in the year. It's unchanged 27 00:01:10,280 --> 00:01:13,200 Speaker 3: basically still actually down in the year, so it's basically 28 00:01:13,240 --> 00:01:15,880 Speaker 3: bouncing from getting two over sold. But look at the 29 00:01:15,959 --> 00:01:18,560 Speaker 3: macro big picture. What we did last year was one 30 00:01:18,560 --> 00:01:21,319 Speaker 3: of the biggest pumps on a two year basis ever 31 00:01:21,600 --> 00:01:23,240 Speaker 3: and it's in the back end of that. And the 32 00:01:23,280 --> 00:01:26,039 Speaker 3: history of these things are very bad for crude oil, 33 00:01:26,400 --> 00:01:29,120 Speaker 3: particularly if you have the federal reserve still tightening and 34 00:01:29,160 --> 00:01:32,000 Speaker 3: disappointing data out of China. Those are current trends. So 35 00:01:32,000 --> 00:01:34,080 Speaker 3: I'm still very veriss crude oil. I see it at 36 00:01:34,080 --> 00:01:35,880 Speaker 3: the upper end of the range. I still think it's 37 00:01:35,880 --> 00:01:38,679 Speaker 3: more likely head towards forty and right now. One key 38 00:01:38,720 --> 00:01:42,440 Speaker 3: thing that's really mattering for everything and muchly all risk asses, 39 00:01:42,520 --> 00:01:45,520 Speaker 3: most notably copper and crude oils. The US stock market 40 00:01:45,520 --> 00:01:48,640 Speaker 3: basically has to keep going just for these markets to 41 00:01:48,680 --> 00:01:51,560 Speaker 3: stay stable. So that's the problem. If stock market actually 42 00:01:51,640 --> 00:01:53,920 Speaker 3: drops a little bit. These assets are probably going to 43 00:01:54,000 --> 00:01:56,200 Speaker 3: continue reverting last year's pumps. 44 00:01:56,280 --> 00:01:59,520 Speaker 2: So that's the trader perspective, Fernando, What do we know 45 00:01:59,520 --> 00:02:01,080 Speaker 2: about and demand here? 46 00:02:01,640 --> 00:02:04,400 Speaker 4: Well, on the demand side, of course, Northern Hemisphere summer, 47 00:02:04,640 --> 00:02:07,120 Speaker 4: Paul's driving more to the shore. Yep, they're driving a 48 00:02:07,120 --> 00:02:09,960 Speaker 4: little bit more consumption, but it's been slightly underwhelming on 49 00:02:10,000 --> 00:02:12,400 Speaker 4: the last few numbers of the EIA. In July, of 50 00:02:12,480 --> 00:02:14,560 Speaker 4: course you had the start of the Saudi Arabia the 51 00:02:14,560 --> 00:02:17,079 Speaker 4: additional cuts that they promised in the last so Pack 52 00:02:17,120 --> 00:02:19,920 Speaker 4: plus meeting, so that's probably sapping a little bit on 53 00:02:19,960 --> 00:02:22,680 Speaker 4: the supply side. But when we look at the inventory figures, 54 00:02:22,720 --> 00:02:26,600 Speaker 4: it hasn't changed drastically. It's really been this whole all right. 55 00:02:26,639 --> 00:02:29,679 Speaker 4: We're coming to a soft landing in the economy, which 56 00:02:29,760 --> 00:02:32,560 Speaker 4: Mike is just showing that the current data is not 57 00:02:32,600 --> 00:02:36,960 Speaker 4: really pointing towards that direction. But there's an expectation that 58 00:02:37,040 --> 00:02:40,040 Speaker 4: the soft landing is what will really put a pushes 59 00:02:40,080 --> 00:02:44,080 Speaker 4: over the edge, and that's likely what's driving oil prices 60 00:02:44,160 --> 00:02:47,160 Speaker 4: higher and the OPEC plus cut at least in the 61 00:02:47,240 --> 00:02:48,160 Speaker 4: short term. 62 00:02:48,680 --> 00:02:51,200 Speaker 1: Excellent kind of missed numbers today. How do you do 63 00:02:51,280 --> 00:02:53,160 Speaker 1: that if you're an energy company, I could make money 64 00:02:53,160 --> 00:02:54,920 Speaker 1: as an energy company. What happened xceon. 65 00:02:55,080 --> 00:02:57,720 Speaker 4: They've made money, And to be fair, they told you 66 00:02:57,840 --> 00:03:00,520 Speaker 4: they came right on in the range that they guided. 67 00:03:00,680 --> 00:03:02,000 Speaker 1: Okay, four weeks ago. 68 00:03:02,040 --> 00:03:04,600 Speaker 4: It's just going sense. It's a little slow to update sometimes. Okay, 69 00:03:04,639 --> 00:03:06,640 Speaker 4: you know, unless they're a little stubborn, you wouldn't know 70 00:03:06,639 --> 00:03:11,800 Speaker 4: anything about that. But they still generated significant free cash flow, 71 00:03:12,400 --> 00:03:16,079 Speaker 4: not enough to cover their buybacks, but they generated enough 72 00:03:16,120 --> 00:03:18,440 Speaker 4: free cash flow. The good thing is they came into 73 00:03:18,480 --> 00:03:21,959 Speaker 4: the quarter with almost thirty three billion dollars in cash, 74 00:03:22,200 --> 00:03:26,200 Speaker 4: the debt under zero point two times. It stayed at 75 00:03:26,200 --> 00:03:28,919 Speaker 4: that level, so they can still get to their thirty 76 00:03:28,919 --> 00:03:31,440 Speaker 4: five billion dollars of buybacks by the end of twenty 77 00:03:31,440 --> 00:03:35,880 Speaker 4: twenty four. Of course, that will probably mean higher leverage 78 00:03:36,000 --> 00:03:37,920 Speaker 4: unless Brent goes above eighty five. 79 00:03:38,240 --> 00:03:41,400 Speaker 2: Mike, how do you play earnings as a trader or 80 00:03:41,440 --> 00:03:45,320 Speaker 2: do you give us give us some trader insight for 81 00:03:45,320 --> 00:03:47,480 Speaker 2: for those at home that want to play along. I mean, 82 00:03:47,640 --> 00:03:52,080 Speaker 2: when an earning season comes around, usually analysts are low balling, right, 83 00:03:52,240 --> 00:03:54,960 Speaker 2: but in this case is Fernando points out, they haven't 84 00:03:54,960 --> 00:03:57,680 Speaker 2: caught up with the with the forecast cut that we 85 00:03:57,720 --> 00:03:59,360 Speaker 2: got out of xceon how do you how do you play? 86 00:03:59,400 --> 00:04:01,080 Speaker 2: Is an opportunity the earnings. 87 00:04:01,080 --> 00:04:04,840 Speaker 3: Well, the key thing to remember about energy equities versus 88 00:04:04,960 --> 00:04:09,400 Speaker 3: underlying energy measures as measured by the Bloomberg Energy Commodity Index, 89 00:04:09,600 --> 00:04:13,040 Speaker 3: is the equities typically outperforming. That was definitely the case 90 00:04:13,120 --> 00:04:15,360 Speaker 3: last year, and it's still been the case this year. 91 00:04:15,360 --> 00:04:17,760 Speaker 3: The key thing is you look like the XL that's 92 00:04:17,800 --> 00:04:20,520 Speaker 3: like the major ETF the tracks energy prices they're up. 93 00:04:20,560 --> 00:04:22,880 Speaker 3: It's almost almost the same thing as S and P 94 00:04:23,000 --> 00:04:26,040 Speaker 3: five hundred. So that's the key thing. Remember, the energy 95 00:04:26,080 --> 00:04:28,520 Speaker 3: equities can create more with less every day, and the 96 00:04:28,560 --> 00:04:31,360 Speaker 3: actual underlying commodities are succumbing to that, which is by 97 00:04:31,400 --> 00:04:33,520 Speaker 3: the price of crudial. Now it's first traded in about 98 00:04:33,560 --> 00:04:35,800 Speaker 3: two thousand and six. But the key thing I want 99 00:04:35,839 --> 00:04:37,679 Speaker 3: to point out is a recent day that you mentioned 100 00:04:37,680 --> 00:04:40,599 Speaker 3: supplying demand. I enjoyed putting in my energy outlook is 101 00:04:41,200 --> 00:04:44,039 Speaker 3: this month the latest estimates and Department Energy is this 102 00:04:44,200 --> 00:04:47,440 Speaker 3: month in July that the US is consuming about nine 103 00:04:47,440 --> 00:04:50,680 Speaker 3: million barrels a day of motor fuel gasoline, which includes 104 00:04:50,720 --> 00:04:53,200 Speaker 3: that's and a I know Matt loves that compared to 105 00:04:53,200 --> 00:04:56,480 Speaker 3: twenty nineteen. In July, it's five percent below. And here's 106 00:04:56,480 --> 00:04:59,400 Speaker 3: another statistic I really like pointing out that really accelerated 107 00:04:59,480 --> 00:05:02,400 Speaker 3: is bloomb New Energy Finance point out that global EV 108 00:05:02,600 --> 00:05:05,919 Speaker 3: sales are now about fifteen percent of new auto sales, 109 00:05:06,080 --> 00:05:09,240 Speaker 3: compared to the same period in twenty nineteen, it was 110 00:05:09,320 --> 00:05:10,880 Speaker 3: three percent. Wow, where's that going? 111 00:05:11,400 --> 00:05:13,760 Speaker 2: Yeah, that's crazy. And by the way, that's only going 112 00:05:13,880 --> 00:05:16,760 Speaker 2: up right, I mean, who was it? I think I 113 00:05:16,800 --> 00:05:19,960 Speaker 2: was talking a fatty b roll of the IA and 114 00:05:20,240 --> 00:05:22,680 Speaker 2: he said he expects it to go over twenty percent 115 00:05:22,720 --> 00:05:23,159 Speaker 2: this year. 116 00:05:23,600 --> 00:05:25,880 Speaker 3: So but those of us own ebs, I said, there's 117 00:05:25,880 --> 00:05:27,400 Speaker 3: no way I'm going back. It's just a better way 118 00:05:27,400 --> 00:05:28,840 Speaker 3: to get around, all right. 119 00:05:28,800 --> 00:05:31,640 Speaker 2: Fernando, I'm gonna go ahead and disagree with you. 120 00:05:31,760 --> 00:05:32,000 Speaker 3: There. 121 00:05:32,520 --> 00:05:37,480 Speaker 1: There's no replacement for displacement there, Mike, So, Fernando, our 122 00:05:37,480 --> 00:05:39,720 Speaker 1: good friends. Then in the Permian, I mean, in other 123 00:05:40,200 --> 00:05:42,280 Speaker 1: shell areas in US, they're pumping, aren't they. 124 00:05:42,440 --> 00:05:45,000 Speaker 4: Yeah, I mean, Chevron just broke their record seven hundred 125 00:05:45,000 --> 00:05:47,560 Speaker 4: and seventy two thousand barrels a day in the second quarter, 126 00:05:47,680 --> 00:05:50,400 Speaker 4: so they're trending towards that one million barrel a day 127 00:05:50,440 --> 00:05:54,240 Speaker 4: by twenty twenty six that they aimed in excellent as well, 128 00:05:55,000 --> 00:05:58,479 Speaker 4: producing significant barrels there. And I think we mentioned last time, 129 00:05:58,520 --> 00:06:01,320 Speaker 4: but we think the five lar just producers in the 130 00:06:01,320 --> 00:06:04,280 Speaker 4: Permian are going to account for nearly fifty percent of 131 00:06:04,320 --> 00:06:08,159 Speaker 4: production by the end of the decade. That's Excellent, Chevron, Conical, Phillips, Pioneer, 132 00:06:08,160 --> 00:06:12,720 Speaker 4: and Occidental. So they are growing. It's just not as 133 00:06:12,760 --> 00:06:15,640 Speaker 4: fast as that was once hoped. You know, the dreams 134 00:06:15,640 --> 00:06:18,320 Speaker 4: of us getting to sixteen eighteen million barrels a day 135 00:06:18,880 --> 00:06:20,880 Speaker 4: are probably in the rear view mirror. 136 00:06:20,960 --> 00:06:22,000 Speaker 1: So what do we do now? 137 00:06:22,080 --> 00:06:24,320 Speaker 4: We do about twelve and a half, just under twelve 138 00:06:24,360 --> 00:06:24,760 Speaker 4: and a half. 139 00:06:25,200 --> 00:06:27,480 Speaker 1: Okay, how much do we We're net exporter. 140 00:06:27,160 --> 00:06:31,280 Speaker 4: Right, yes and no, it depends because we don't have 141 00:06:31,360 --> 00:06:33,719 Speaker 4: all the crews that we need, so we import some. 142 00:06:33,920 --> 00:06:35,160 Speaker 4: And yes, on a net. 143 00:06:35,120 --> 00:06:38,719 Speaker 1: Stait, I think I can go down to Texas, Houston, 144 00:06:39,480 --> 00:06:41,479 Speaker 1: you know, raise some money from some good old boys 145 00:06:41,480 --> 00:06:43,720 Speaker 1: and start putting some holes in the ground, and eighty 146 00:06:43,720 --> 00:06:45,279 Speaker 1: dollars a barrel, I can make a lot of money. 147 00:06:45,600 --> 00:06:45,920 Speaker 5: You would. 148 00:06:45,960 --> 00:06:47,280 Speaker 2: My cost it's like forty. 149 00:06:47,080 --> 00:06:51,280 Speaker 4: Right, it's it's it's forty just on the drilling side. 150 00:06:51,279 --> 00:06:53,000 Speaker 4: But then you have all the I mean, you're not 151 00:06:53,120 --> 00:06:55,359 Speaker 4: cheap okay, and you have to pay for you you 152 00:06:55,440 --> 00:06:57,880 Speaker 4: have to pay for your CFO, you have to pay taxes, 153 00:06:58,440 --> 00:07:01,640 Speaker 4: so your overall fully loaded costs are higher. 154 00:07:01,720 --> 00:07:02,279 Speaker 1: Me a wildcat. 155 00:07:02,360 --> 00:07:04,440 Speaker 4: And then you don't get eighty dollars, you get a 156 00:07:04,440 --> 00:07:06,719 Speaker 4: discount on that. And you don't only produce oil, you 157 00:07:06,760 --> 00:07:07,560 Speaker 4: produce other things. 158 00:07:07,640 --> 00:07:12,240 Speaker 2: Hey, Mike, does does the SPR play any play at 159 00:07:12,240 --> 00:07:14,120 Speaker 2: all into the equation here? I mean, I know that 160 00:07:14,160 --> 00:07:17,240 Speaker 2: we we drained it, you know, to buy votes for 161 00:07:17,240 --> 00:07:20,040 Speaker 2: the Democratic Party before the midterms, which is you know 162 00:07:20,120 --> 00:07:21,280 Speaker 2: that's what the SPR was for. 163 00:07:21,400 --> 00:07:21,800 Speaker 1: Nice straight? 164 00:07:22,040 --> 00:07:23,800 Speaker 2: Are we gonna fill it back up? I thought the 165 00:07:23,840 --> 00:07:25,680 Speaker 2: idea was we're going to do that when it was low, 166 00:07:25,720 --> 00:07:27,640 Speaker 2: and it was low, and we didn't. 167 00:07:28,400 --> 00:07:30,760 Speaker 3: There was no hurry to do that. If you really 168 00:07:30,760 --> 00:07:32,560 Speaker 3: compare it to when I was pumping gas at a 169 00:07:32,600 --> 00:07:35,000 Speaker 3: gas station in nineteen seventy nine is a gas jockey 170 00:07:35,040 --> 00:07:37,200 Speaker 3: and gas price went over a dour. We had a 171 00:07:37,240 --> 00:07:40,880 Speaker 3: price in half gallons because of the analog tanks couldn't 172 00:07:40,880 --> 00:07:43,560 Speaker 3: do that. There is a massive excess of supply. If 173 00:07:43,560 --> 00:07:47,120 Speaker 3: you look at liquid fuels of US and Canada, around 174 00:07:47,120 --> 00:07:49,280 Speaker 3: four million barrels a day. For those old days when 175 00:07:49,360 --> 00:07:51,320 Speaker 3: US was a net importer are over. So the only 176 00:07:51,360 --> 00:07:54,240 Speaker 3: really reason you need the SPR notes for offsetting things 177 00:07:54,280 --> 00:07:56,520 Speaker 3: like hurricanes and stuff, because we could ramp up that 178 00:07:56,880 --> 00:07:59,040 Speaker 3: supply even more so if we want. I'm looking at 179 00:07:59,040 --> 00:08:02,360 Speaker 3: liquid fuel products in his countries. Basically all new high 180 00:08:02,360 --> 00:08:04,760 Speaker 3: include liquid fuels because they have to include ethnome from 181 00:08:04,800 --> 00:08:07,240 Speaker 3: the farm. It's almost twenty million barrels a day. Our 182 00:08:07,280 --> 00:08:11,320 Speaker 3: consumption peeked about fifteen years ago. So there's a very 183 00:08:11,360 --> 00:08:14,480 Speaker 3: bad trend for prices. And that's the key thing about SPR. 184 00:08:14,920 --> 00:08:16,680 Speaker 3: President Biden might go down as one of the best 185 00:08:16,680 --> 00:08:17,760 Speaker 3: oil traders in history. 186 00:08:18,720 --> 00:08:22,000 Speaker 2: All Right, all right, I heard it here. That's fascinating stuff. 187 00:08:22,040 --> 00:08:25,080 Speaker 1: Petroleum distribution engineer, that is the term. 188 00:08:25,320 --> 00:08:29,400 Speaker 2: That's what the gas jockey is. Were you pumping leaded gas? 189 00:08:29,600 --> 00:08:29,840 Speaker 1: Yes? 190 00:08:30,720 --> 00:08:31,680 Speaker 2: Was that leaded? Mike? 191 00:08:32,800 --> 00:08:35,440 Speaker 1: I guess he's yes. Stop all right, all right, Mike mcloan, 192 00:08:35,520 --> 00:08:38,120 Speaker 1: he's back at on the pump. Mike mcgloan, Fernando Valley. 193 00:08:38,120 --> 00:08:40,520 Speaker 1: They cover all the energy space for Bloomberg Intelligence. They 194 00:08:40,520 --> 00:08:41,600 Speaker 1: put it in perspective for us. 195 00:08:42,559 --> 00:08:46,400 Speaker 6: You're listening to the Team ken'shar Live program. Bloomberg Markets 196 00:08:46,440 --> 00:08:49,560 Speaker 6: weekdays at ten am Eastern on Bloomberg dot com, the 197 00:08:49,640 --> 00:08:52,760 Speaker 6: iHeartRadio app and the Bloomberg Business app, or listen on 198 00:08:52,840 --> 00:08:54,800 Speaker 6: demand wherever you get your podcasts. 199 00:08:56,559 --> 00:08:58,280 Speaker 1: Some of these central banks share we've had a lot 200 00:08:58,280 --> 00:09:02,040 Speaker 1: of activity, including the Bank at Japan today. It I mean, 201 00:09:02,080 --> 00:09:03,840 Speaker 1: when I look at the ECB, when I look at 202 00:09:03,840 --> 00:09:07,360 Speaker 1: the FED, it seems like they're saying we're pretty much done. 203 00:09:07,480 --> 00:09:08,720 Speaker 1: Is that kind of your takeaway? 204 00:09:09,160 --> 00:09:11,000 Speaker 7: Yeah, I mean we knew that we were close to 205 00:09:11,040 --> 00:09:13,520 Speaker 7: the end of the cycle, so the question was always 206 00:09:13,880 --> 00:09:16,640 Speaker 7: would it take another turn of the screw basically to 207 00:09:16,720 --> 00:09:19,120 Speaker 7: get us into the landing zone for both the FED 208 00:09:19,160 --> 00:09:23,280 Speaker 7: and the ECB. And you know, the the central banks 209 00:09:23,280 --> 00:09:27,840 Speaker 7: are signaling, are reinforcing that they essentially agree with the 210 00:09:27,880 --> 00:09:35,400 Speaker 7: markets that that we're near the end. I still feel that, 211 00:09:35,520 --> 00:09:38,240 Speaker 7: you know, we are currently in the state of I 212 00:09:38,320 --> 00:09:41,880 Speaker 7: was thinking of using the term disinflation euphoria, but I 213 00:09:41,920 --> 00:09:46,640 Speaker 7: think that kind of is a little too prioritive disinflation optimism, 214 00:09:46,720 --> 00:09:49,160 Speaker 7: because there is you know, there's there's a reason, there's 215 00:09:49,280 --> 00:09:55,480 Speaker 7: reason for it. But broadly speaking, I think that through 216 00:09:55,520 --> 00:10:00,439 Speaker 7: the course of this whole inflation cycle, the our kids 217 00:10:00,440 --> 00:10:04,400 Speaker 7: and policy makers have underestimated the resilience of the economy. 218 00:10:04,440 --> 00:10:07,160 Speaker 7: They sort of look through a lot of the you know, 219 00:10:07,240 --> 00:10:11,719 Speaker 7: the demand driven components of inflation, and people look very 220 00:10:11,800 --> 00:10:15,880 Speaker 7: much at sort of you know, the the the subcomponents 221 00:10:15,880 --> 00:10:18,040 Speaker 7: of you know of inflation used card. 222 00:10:18,080 --> 00:10:20,640 Speaker 2: I have no idea why economists ignore it. Seems like 223 00:10:21,240 --> 00:10:23,920 Speaker 2: ignore the demand driven side of it. Yeah, I don't 224 00:10:23,920 --> 00:10:25,079 Speaker 2: get why. Why is that? 225 00:10:25,600 --> 00:10:30,880 Speaker 7: Yeah, I think people want to declare victory, you know, 226 00:10:30,920 --> 00:10:34,200 Speaker 7: and I think policy makers, everybody wants this to be over. 227 00:10:34,400 --> 00:10:38,040 Speaker 2: Well, yesterday we talked with Cam Harvey at Duke and 228 00:10:38,120 --> 00:10:42,040 Speaker 2: he said, you know that the Fed's got it all wrong. 229 00:10:42,160 --> 00:10:45,720 Speaker 2: It's not three percent inflation, It's like zero point one 230 00:10:45,760 --> 00:10:49,640 Speaker 2: percent inflation. Like he said, the picture is completely skewed 231 00:10:49,640 --> 00:10:52,680 Speaker 2: by the housing the way they calculate housing in there. 232 00:10:52,960 --> 00:10:54,720 Speaker 2: And I think a lot of people agree with him 233 00:10:54,760 --> 00:10:58,400 Speaker 2: that it's much lower than the FED expects. Are you 234 00:10:58,520 --> 00:11:01,679 Speaker 2: worried that the FED put pushes us into a recession 235 00:11:01,760 --> 00:11:03,079 Speaker 2: by hiking too much. 236 00:11:04,520 --> 00:11:07,359 Speaker 7: I'm not worried that the FED pushes us into recession. 237 00:11:07,920 --> 00:11:12,240 Speaker 7: I think that it will take a recession, and I 238 00:11:12,240 --> 00:11:16,000 Speaker 7: don't think the FED, the FED, the ECB everybody is 239 00:11:16,040 --> 00:11:18,760 Speaker 7: now managing towards growth. So this is what's new here 240 00:11:18,800 --> 00:11:21,160 Speaker 7: with this inflationary cycle. As we get closer to the 241 00:11:21,240 --> 00:11:24,080 Speaker 7: to the top, they're more you know, looking on a 242 00:11:24,120 --> 00:11:27,000 Speaker 7: two sided view, trying to balance the soft landing that 243 00:11:27,040 --> 00:11:30,400 Speaker 7: everybody's talking about. And you know, I don't want to 244 00:11:30,880 --> 00:11:33,640 Speaker 7: policy error, as you know, maybe it's too easy of 245 00:11:33,760 --> 00:11:36,440 Speaker 7: glib of a word to say, because I understand what 246 00:11:36,480 --> 00:11:41,000 Speaker 7: they're trying to achieve here. But you know, to the 247 00:11:41,040 --> 00:11:46,040 Speaker 7: extent that spot inflationary numbers are showing a disinflationary trend, 248 00:11:46,080 --> 00:11:51,920 Speaker 7: I think people really underestimate the self reinforcing elements of inflation, 249 00:11:52,480 --> 00:11:54,439 Speaker 7: don't I think we have, you know, I mean I 250 00:11:54,440 --> 00:11:56,280 Speaker 7: don't want to sound like you know all back in 251 00:11:56,360 --> 00:11:59,200 Speaker 7: my day, but I think that that that you know, 252 00:11:59,720 --> 00:12:02,720 Speaker 7: the that that the global central bank community, you know, 253 00:12:02,760 --> 00:12:04,560 Speaker 7: back when they did the new Framework and all that, 254 00:12:04,600 --> 00:12:06,720 Speaker 7: they said, inflection, will we know how to deal with 255 00:12:06,760 --> 00:12:08,679 Speaker 7: it when we see it, And you know, they were 256 00:12:08,760 --> 00:12:11,560 Speaker 7: kind of caught deer in the headlights. They scrambled to 257 00:12:11,640 --> 00:12:15,480 Speaker 7: catch up. But I think there's still this this this 258 00:12:15,600 --> 00:12:20,160 Speaker 7: tendency to think that that to to underestimate the forces 259 00:12:20,200 --> 00:12:23,640 Speaker 7: of inflation pressures once you unleash them. For example, you 260 00:12:23,679 --> 00:12:27,840 Speaker 7: know the nominal spending. I mean we look in you know, 261 00:12:27,960 --> 00:12:30,640 Speaker 7: corporate profits, and you look at how you have to 262 00:12:30,640 --> 00:12:33,200 Speaker 7: think in nominal terms a lot here and you see, 263 00:12:33,400 --> 00:12:37,160 Speaker 7: you know, the corporate America is doing well. They're still 264 00:12:37,160 --> 00:12:40,439 Speaker 7: able to pass the price pricing, you know, is being 265 00:12:40,480 --> 00:12:44,080 Speaker 7: passed through to the consumers. Europe is a little bit 266 00:12:44,080 --> 00:12:46,920 Speaker 7: different story. We're seeing obviously more slow down in Germany 267 00:12:47,040 --> 00:12:50,880 Speaker 7: in particular, but uh, they're there. I think there are 268 00:12:50,920 --> 00:12:55,400 Speaker 7: two things that really stand out to me. One is 269 00:12:55,440 --> 00:13:01,400 Speaker 7: that the underestimating the self reinforcing elements of inflationary dynamics 270 00:13:01,440 --> 00:13:04,080 Speaker 7: once it sets in. And the other is that I 271 00:13:04,080 --> 00:13:09,480 Speaker 7: think people still even today underestimate the power of the 272 00:13:09,520 --> 00:13:13,920 Speaker 7: fiscal impulse that was put into the system. And economists 273 00:13:13,960 --> 00:13:16,080 Speaker 7: and you know, the central bankers they don't like to 274 00:13:16,200 --> 00:13:19,160 Speaker 7: especially the FED, they don't like to talk about fiscal policy, 275 00:13:19,280 --> 00:13:22,160 Speaker 7: but you know, we still have you know this these it's. 276 00:13:21,800 --> 00:13:24,240 Speaker 2: Too big to be left out of the station, still 277 00:13:24,240 --> 00:13:27,640 Speaker 2: feeding through, it's still feeding the Paul. This morning, as 278 00:13:27,640 --> 00:13:29,199 Speaker 2: I was driving to work, I was on a call. 279 00:13:30,400 --> 00:13:33,800 Speaker 2: I'm driving right now, I'm driving Alfa Romeo we'll talk 280 00:13:33,840 --> 00:13:35,800 Speaker 2: about that. But I was on the phone with the 281 00:13:35,840 --> 00:13:36,400 Speaker 2: CEO of. 282 00:13:36,400 --> 00:13:38,600 Speaker 1: Masarati apparently not paying tolls either. 283 00:13:38,960 --> 00:13:42,400 Speaker 2: No, John, what do you drive? 284 00:13:43,080 --> 00:13:44,000 Speaker 6: Uh? 285 00:13:44,320 --> 00:13:48,760 Speaker 1: Super a super got everybody off track? 286 00:13:48,840 --> 00:13:52,040 Speaker 2: Sorry, No, I was just no, No, Uh, Super is 287 00:13:52,080 --> 00:13:54,480 Speaker 2: a great car. I was talking to CEO of Maserati, 288 00:13:54,640 --> 00:13:58,760 Speaker 2: David de Grasso, and he said they still have inflation. 289 00:13:59,000 --> 00:14:02,640 Speaker 2: They still feel it pretty strongly in their input costs, right, 290 00:14:03,000 --> 00:14:06,319 Speaker 2: and so they're passing that along. To prove your point, 291 00:14:06,360 --> 00:14:10,400 Speaker 2: the Maserati Gricalai Trofeo, which is a small suv, is 292 00:14:10,440 --> 00:14:11,920 Speaker 2: going for over one hundred thousand dollars. 293 00:14:12,280 --> 00:14:15,280 Speaker 1: Yeah, yep, which no problem for Memlania. All right. Soissan, 294 00:14:15,360 --> 00:14:18,760 Speaker 1: before you were found at sgh Macroadvisors in two thousand 295 00:14:18,800 --> 00:14:20,800 Speaker 1: and nine, you made your living trading currencies here. So 296 00:14:21,040 --> 00:14:23,840 Speaker 1: I gotta ask you. I got the dollar down, I 297 00:14:23,840 --> 00:14:26,880 Speaker 1: don't know, ten percent from its high back in the fall. 298 00:14:26,920 --> 00:14:27,160 Speaker 5: Here. 299 00:14:27,480 --> 00:14:30,160 Speaker 1: What you call on the dollar here? Is there a 300 00:14:30,160 --> 00:14:33,120 Speaker 1: bearish call on the Dollar's just just a little trade down? 301 00:14:33,720 --> 00:14:36,600 Speaker 7: No, I think there's a bearish call on the dollar. 302 00:14:36,720 --> 00:14:38,920 Speaker 7: I think, as you know, I mean, it might seem 303 00:14:38,960 --> 00:14:41,480 Speaker 7: at odds with the notion that we still have inflation 304 00:14:41,640 --> 00:14:44,560 Speaker 7: we have more room to hike rates, but you know, 305 00:14:44,600 --> 00:14:46,200 Speaker 7: we have to look at it, you know, and this 306 00:14:46,280 --> 00:14:48,600 Speaker 7: is always a tricky part with currencies. You know, to 307 00:14:48,680 --> 00:14:50,960 Speaker 7: have a dollar call is really you got to look 308 00:14:50,960 --> 00:14:53,560 Speaker 7: at what dollar yen is kind of a different animal than. 309 00:14:53,400 --> 00:14:55,240 Speaker 2: Almoly goodness what happened yesterday. 310 00:14:55,360 --> 00:14:59,760 Speaker 7: But yeah, you know, I they pulled it off very nicely. 311 00:14:59,800 --> 00:15:01,440 Speaker 7: I think, Yeah, the Bank of Japan, you know, they 312 00:15:01,560 --> 00:15:04,440 Speaker 7: and you know, it's it's people were expecting this to 313 00:15:04,480 --> 00:15:08,840 Speaker 7: be sort of a huge, you know, explosive event for markets. 314 00:15:08,840 --> 00:15:11,120 Speaker 2: We had to end still in the same range that 315 00:15:11,160 --> 00:15:14,760 Speaker 2: it was one forty, right, US treasure you're still under four. 316 00:15:14,960 --> 00:15:18,920 Speaker 7: Yeah, And importantly, the JJB yields, you know, they they 317 00:15:19,040 --> 00:15:21,880 Speaker 7: went up to like fifty six basis points and settled 318 00:15:21,880 --> 00:15:24,600 Speaker 7: in like the mid fifties. So it's not like they 319 00:15:24,640 --> 00:15:27,800 Speaker 7: lifted a fifty you know, fifty basis point ceiling and 320 00:15:27,400 --> 00:15:29,280 Speaker 7: it went and it went to one hundred. And you 321 00:15:29,280 --> 00:15:31,120 Speaker 7: know the reason is, and this is why I think 322 00:15:31,160 --> 00:15:34,200 Speaker 7: you Eda did a nice job on this is that 323 00:15:34,280 --> 00:15:37,640 Speaker 7: and we've kind of been flagging this that the tactical 324 00:15:37,680 --> 00:15:40,520 Speaker 7: window for them to do this what was going to 325 00:15:40,560 --> 00:15:42,520 Speaker 7: be at a time when there wasn't a lot of 326 00:15:42,520 --> 00:15:45,960 Speaker 7: bearish pressure on global bond markets, which you know, we 327 00:15:46,520 --> 00:15:48,320 Speaker 7: look at what's happening in the US and what's happening 328 00:15:48,360 --> 00:15:50,280 Speaker 7: the ed to be it was a really nice window 329 00:15:50,320 --> 00:15:53,480 Speaker 7: for them to sort of, uh to walk in and 330 00:15:53,640 --> 00:15:56,280 Speaker 7: you know and manage it. So Dollar call, you know, 331 00:15:56,400 --> 00:16:00,360 Speaker 7: I I think, you know, we're close to the end 332 00:16:00,400 --> 00:16:02,560 Speaker 7: of the cycle. I don't think we're at the end 333 00:16:02,600 --> 00:16:04,560 Speaker 7: of the cycle. I think we still have a couple 334 00:16:04,680 --> 00:16:07,560 Speaker 7: more hikes, you know. I think we have at least 335 00:16:07,560 --> 00:16:10,160 Speaker 7: one more hike left, you know, for for the fad 336 00:16:11,000 --> 00:16:13,520 Speaker 7: And I sort of think that, you know, looking ahead, 337 00:16:13,960 --> 00:16:17,920 Speaker 7: the central banks might need to, you know, put another 338 00:16:18,520 --> 00:16:21,880 Speaker 7: turn on the screw on tightening because. 339 00:16:21,760 --> 00:16:23,920 Speaker 2: Well Pal said that, he said September, he kind of 340 00:16:23,960 --> 00:16:25,600 Speaker 2: warned us about September. 341 00:16:25,200 --> 00:16:28,680 Speaker 7: Right, Yeah, yeah, I mean September. The market is a 342 00:16:28,760 --> 00:16:30,960 Speaker 7: price to everything out you know, for the US right now. 343 00:16:31,040 --> 00:16:33,600 Speaker 7: And I think that the issue with September is just 344 00:16:33,680 --> 00:16:37,240 Speaker 7: that it's going to be hard for them to explain 345 00:16:37,440 --> 00:16:40,840 Speaker 7: or to even want to, you know, press for a 346 00:16:40,920 --> 00:16:44,320 Speaker 7: hike when you know, when when the when the inflation 347 00:16:44,480 --> 00:16:47,680 Speaker 7: numbers are going to are most likely going to come 348 00:16:47,680 --> 00:16:49,920 Speaker 7: in benign, you know, and markets have been expecting that, 349 00:16:50,080 --> 00:16:51,240 Speaker 7: and I think there's no reason. 350 00:16:51,320 --> 00:16:53,320 Speaker 2: But they can prove their point. He can say, listen, 351 00:16:53,480 --> 00:16:55,520 Speaker 2: I was telling you all year, I want to get 352 00:16:55,520 --> 00:16:58,600 Speaker 2: to two percent. Three percent is not good enough. Yeah, 353 00:16:58,800 --> 00:17:00,560 Speaker 2: you know. Yeah. 354 00:17:00,600 --> 00:17:04,280 Speaker 7: I think that's the broader point is that the both 355 00:17:04,280 --> 00:17:07,200 Speaker 7: the ECB and the FAD, I think their current stance. 356 00:17:07,560 --> 00:17:10,399 Speaker 7: I think the you know, putting aside the twenty twenty 357 00:17:10,400 --> 00:17:12,240 Speaker 7: three numbers, if you look at kind of the twenty 358 00:17:12,280 --> 00:17:15,959 Speaker 7: twenty four forecast, I think it's a little aspirational the 359 00:17:15,960 --> 00:17:18,800 Speaker 7: pace at which that they expect that, you know, that inflation, 360 00:17:18,960 --> 00:17:22,880 Speaker 7: the disinflationary trend is going to continue when that manifests itself. 361 00:17:22,920 --> 00:17:25,480 Speaker 7: You know, I still think the UCB is going. 362 00:17:25,480 --> 00:17:27,920 Speaker 2: To hike in September summer. 363 00:17:28,040 --> 00:17:32,760 Speaker 1: Yeah, fun, I'm done. I'm done. I've taken a recession 364 00:17:32,800 --> 00:17:36,280 Speaker 1: off the table. I'm done with rate hikes. I got 365 00:17:36,320 --> 00:17:39,240 Speaker 1: earnings troughing here. I'm set up for a ripping market. 366 00:17:39,720 --> 00:17:40,360 Speaker 1: That's my call. 367 00:17:40,400 --> 00:17:44,480 Speaker 7: I'm still one of the problems for traders has been 368 00:17:44,720 --> 00:17:47,919 Speaker 7: that I think they haven't been able to square the 369 00:17:48,000 --> 00:17:52,000 Speaker 7: circle with interest rate hikes versus stock market going up. 370 00:17:52,080 --> 00:17:53,000 Speaker 2: It can still happen. 371 00:17:53,119 --> 00:17:56,040 Speaker 1: Yeah, all right, Sissan, thank you so much. Sassan Goa Rimani, President, 372 00:17:56,160 --> 00:17:59,600 Speaker 1: CEO and founder of sg H Macro Advisors. We appreciate 373 00:17:59,600 --> 00:18:00,000 Speaker 1: you coming here. 374 00:18:00,440 --> 00:18:03,480 Speaker 6: You're listening to the tape. Can's our live program Bloomberg 375 00:18:03,600 --> 00:18:07,199 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 376 00:18:07,240 --> 00:18:10,480 Speaker 6: tune in app, Bloomberg dot Com, and the Bloomberg Business App. 377 00:18:10,520 --> 00:18:13,320 Speaker 6: You can also listen live on Amazon Alexa from our 378 00:18:13,359 --> 00:18:19,440 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 379 00:18:18,680 --> 00:18:22,480 Speaker 1: The Bloomberg Intelligence b I go on yourternal Bloomberg Intelligence 380 00:18:22,600 --> 00:18:25,680 Speaker 1: is the biggest research department on Wall Street, and more importantly, 381 00:18:26,400 --> 00:18:28,720 Speaker 1: I believe the best research department on Wall Street. So 382 00:18:28,760 --> 00:18:31,480 Speaker 1: we have access to all their analysts, including Matt Hendrickson. 383 00:18:31,520 --> 00:18:35,200 Speaker 1: He's a senior Ecura analyst covering medical technology. He joins 384 00:18:35,240 --> 00:18:37,600 Speaker 1: us here in our Bloomberg Interactive Broker Studio. And one 385 00:18:37,600 --> 00:18:39,640 Speaker 1: of the things we like about our BI analysts often 386 00:18:39,680 --> 00:18:42,200 Speaker 1: bring us companies that we never would have thought about, 387 00:18:42,359 --> 00:18:45,320 Speaker 1: never would have really you know, think of as an investment. 388 00:18:45,320 --> 00:18:49,359 Speaker 1: But here's dex Com. D x CM is a symbol. 389 00:18:49,560 --> 00:18:51,840 Speaker 1: This is a fifty billion dollar market cap. Stock hit 390 00:18:52,000 --> 00:18:55,960 Speaker 1: fifty two week high today, it's up twenty one percent. Matt. 391 00:18:55,960 --> 00:18:58,840 Speaker 1: What is Dexcom and what's going on with this stock today? 392 00:18:59,160 --> 00:19:03,280 Speaker 8: Yeah, SOX makes what they're called cgms. It's that's short 393 00:19:03,320 --> 00:19:07,960 Speaker 8: for continuous glucose monitors, And basically this technology is replacing 394 00:19:08,200 --> 00:19:11,000 Speaker 8: what is antiquated, which is fingersticks, which is you have 395 00:19:11,080 --> 00:19:14,600 Speaker 8: to prick your finger three or four times a day 396 00:19:14,640 --> 00:19:15,800 Speaker 8: to get your glucose reading. 397 00:19:15,880 --> 00:19:17,560 Speaker 1: Wasn't there a company that kind of did that a 398 00:19:17,560 --> 00:19:19,160 Speaker 1: little bit of their nose or something. 399 00:19:19,720 --> 00:19:24,880 Speaker 4: Oh, that's a that's a different story, but the same thing. 400 00:19:24,760 --> 00:19:27,560 Speaker 8: Though, prick your finger, get four ings a day, that's antiquated. 401 00:19:27,600 --> 00:19:31,120 Speaker 8: It hurts, it's a pain in the butt. Yeah, exactly. 402 00:19:31,200 --> 00:19:34,119 Speaker 8: So cgms come in. It's on your arm or on 403 00:19:34,160 --> 00:19:36,879 Speaker 8: your abdomen. It does a reading every five minutes, so 404 00:19:36,920 --> 00:19:39,399 Speaker 8: that's two hundred eight readings the day without pricking your finger. 405 00:19:39,640 --> 00:19:41,640 Speaker 8: You get the trends, you get the ups the downs. 406 00:19:41,680 --> 00:19:43,960 Speaker 8: It's predictive, so it says you're going to be up, 407 00:19:44,000 --> 00:19:46,960 Speaker 8: you're going to be down. That's what Type one diabetes 408 00:19:47,200 --> 00:19:50,280 Speaker 8: patients need to be able to treat. You know, the 409 00:19:50,359 --> 00:19:51,280 Speaker 8: highs and the lows. 410 00:19:52,160 --> 00:19:54,800 Speaker 2: So it's amazing that it's I mean, it's amazing that 411 00:19:54,840 --> 00:20:00,640 Speaker 2: a fifty four billion dollar company just has one kind 412 00:20:00,680 --> 00:20:04,320 Speaker 2: of trick. Yeah, I mean that's all they focus on. 413 00:20:04,480 --> 00:20:06,440 Speaker 8: That's all they focus on. But that's all the trick 414 00:20:06,520 --> 00:20:09,880 Speaker 8: they need right now, because you have thirty five million 415 00:20:10,119 --> 00:20:11,120 Speaker 8: diabetic patients in. 416 00:20:11,080 --> 00:20:13,399 Speaker 2: The US alone and climbing I'm assuming. 417 00:20:13,119 --> 00:20:15,560 Speaker 8: Climbing, yes, and we'll get into those type two patients 418 00:20:15,560 --> 00:20:17,560 Speaker 8: a little bit more, but right now they're only focusing 419 00:20:17,560 --> 00:20:20,760 Speaker 8: on the type ones and those patients that really. 420 00:20:20,480 --> 00:20:22,720 Speaker 2: What's the difference, by the way, type one type two. 421 00:20:23,119 --> 00:20:25,840 Speaker 8: Oh so type one is more genetic, and you your 422 00:20:25,880 --> 00:20:29,800 Speaker 8: pancreas cannot create insulin, so you need to inject yourself 423 00:20:29,800 --> 00:20:33,199 Speaker 8: with insulin to lower your blood sugar. But you know 424 00:20:33,400 --> 00:20:36,520 Speaker 8: the problem with taking too much insulin is that your 425 00:20:36,560 --> 00:20:38,439 Speaker 8: low blood sugar and then you could pass out or 426 00:20:38,480 --> 00:20:41,639 Speaker 8: even worse. That's why you need the CGM or that's. 427 00:20:41,480 --> 00:20:45,399 Speaker 2: Why you need's that you inherit that's not yeah, that's all. 428 00:20:45,560 --> 00:20:46,919 Speaker 2: That's drinking way too much No. 429 00:20:47,400 --> 00:20:49,520 Speaker 8: No, no, that's uh, that's that's when you get the 430 00:20:49,560 --> 00:20:52,399 Speaker 8: type two and by drinking so much soda or eating 431 00:20:52,440 --> 00:20:56,440 Speaker 8: so many candy bars. Your pancreas just cannot produce enough 432 00:20:56,440 --> 00:20:59,200 Speaker 8: insulin anymore, and it kind of just shuts down because 433 00:20:59,280 --> 00:21:00,000 Speaker 8: it's overloaded. 434 00:21:00,080 --> 00:21:02,440 Speaker 2: And that's the I guess the big problem that we're 435 00:21:02,480 --> 00:21:07,160 Speaker 2: looking at in terms of the climbing numbers. 436 00:21:06,800 --> 00:21:09,520 Speaker 8: Right, yes, and so when you see like the climbing numbers, 437 00:21:09,560 --> 00:21:11,840 Speaker 8: it's mostly type two and it's mostly due to these 438 00:21:12,280 --> 00:21:13,959 Speaker 8: lifestyle decisions. 439 00:21:13,440 --> 00:21:15,680 Speaker 2: Just eating nerds all day long, yeah. 440 00:21:15,359 --> 00:21:17,440 Speaker 8: And you know, sitting at your desk all day long. 441 00:21:18,000 --> 00:21:20,280 Speaker 1: All right, So dex Com this is a way to 442 00:21:20,359 --> 00:21:22,400 Speaker 1: play that market. And the day of some earnings recently 443 00:21:22,520 --> 00:21:22,760 Speaker 1: or some. 444 00:21:22,800 --> 00:21:27,120 Speaker 8: Yeah, so they reported last night and their recent product there, 445 00:21:27,240 --> 00:21:31,880 Speaker 8: it's the seventh generation so obviously called G seven that 446 00:21:32,040 --> 00:21:35,800 Speaker 8: launched earlier this year, and that's helped boost revenue. So 447 00:21:35,800 --> 00:21:37,960 Speaker 8: they beat in the quarter and then they raised their guidance. 448 00:21:38,000 --> 00:21:39,840 Speaker 8: So now they're up to three and a half billion 449 00:21:39,880 --> 00:21:43,439 Speaker 8: to three point five to five billion. That's twenty to 450 00:21:43,480 --> 00:21:46,600 Speaker 8: twenty two percent growth on a three billion dollar revenue 451 00:21:46,680 --> 00:21:50,680 Speaker 8: run rate. So the market like that, and so we've 452 00:21:50,680 --> 00:21:52,399 Speaker 8: seen the kind of the rally today. 453 00:21:52,440 --> 00:21:52,719 Speaker 5: All right. 454 00:21:52,760 --> 00:21:56,000 Speaker 1: So in the world of kind of medical equipment, what 455 00:21:56,040 --> 00:21:57,680 Speaker 1: are some of the hotters. What are the areas that 456 00:21:57,680 --> 00:21:59,000 Speaker 1: that kind of get your attention? 457 00:21:59,440 --> 00:22:02,479 Speaker 8: Yeah, I mean, and so the big themes in medtech 458 00:22:02,560 --> 00:22:06,000 Speaker 8: right now is is diabetes is one and robotics is 459 00:22:06,040 --> 00:22:11,880 Speaker 8: another one. The main company participating in robotics is Intuitive Surgical. 460 00:22:11,480 --> 00:22:14,159 Speaker 1: Is Surgical I SRG. 461 00:22:14,400 --> 00:22:17,080 Speaker 8: Okay, and so you're talking about a fifty billion dollar company, 462 00:22:17,160 --> 00:22:18,880 Speaker 8: this is one hundred billion dollar market cap. 463 00:22:18,960 --> 00:22:21,160 Speaker 1: You just don't know these companies. Where have I been? 464 00:22:21,680 --> 00:22:21,959 Speaker 6: All right? 465 00:22:22,000 --> 00:22:22,399 Speaker 1: What did they do? 466 00:22:22,720 --> 00:22:28,520 Speaker 8: So they are creating robotics systems that help with various surgeries. 467 00:22:28,800 --> 00:22:32,000 Speaker 8: It can be anything from general surgery, so hernia repair, 468 00:22:32,119 --> 00:22:33,080 Speaker 8: bariatric surgery. 469 00:22:33,400 --> 00:22:34,159 Speaker 1: Robot is doing this. 470 00:22:34,359 --> 00:22:36,639 Speaker 8: Yeah, well, I mean it's so this is where you 471 00:22:36,720 --> 00:22:38,520 Speaker 8: get your kids to start playing video games. 472 00:22:38,560 --> 00:22:39,359 Speaker 1: Okay. 473 00:22:39,520 --> 00:22:42,040 Speaker 8: It's controlled by a video game or what looks like 474 00:22:42,080 --> 00:22:43,160 Speaker 8: a video game controller. 475 00:22:43,280 --> 00:22:43,480 Speaker 1: Okay. 476 00:22:43,680 --> 00:22:46,760 Speaker 2: So the surgeon uses a joystick essentially to do things 477 00:22:46,960 --> 00:22:49,120 Speaker 2: in extremely precise way exactly. 478 00:22:49,119 --> 00:22:51,240 Speaker 8: And but basically, you know, even you know, when you 479 00:22:51,280 --> 00:22:53,080 Speaker 8: talk think about a surgeon, what do they have? They 480 00:22:53,119 --> 00:22:56,000 Speaker 8: have a very steady hand. But even the steadiest hand, 481 00:22:56,119 --> 00:22:57,040 Speaker 8: by the steady. 482 00:22:56,800 --> 00:22:59,160 Speaker 1: Yeah, you know, I would not want to it's John Tucker. 483 00:22:59,400 --> 00:23:02,440 Speaker 2: Yeah, Paul's hands are too shaky. I knew a surgeon 484 00:23:02,520 --> 00:23:04,760 Speaker 2: in London he had to knock back basically a bottle 485 00:23:04,800 --> 00:23:06,840 Speaker 2: of Scotch before he could do any kind of operation. 486 00:23:07,040 --> 00:23:09,240 Speaker 1: That's not good. Yeah, and this is the guy you 487 00:23:09,320 --> 00:23:09,560 Speaker 1: went to. 488 00:23:09,920 --> 00:23:11,360 Speaker 2: Yes, it's a friend of mine. 489 00:23:11,480 --> 00:23:15,800 Speaker 8: Well, yeah, that's why you should never mix friends and work. 490 00:23:15,880 --> 00:23:20,440 Speaker 2: Right, So, so intuitive surgical. I wonder if there's any 491 00:23:20,720 --> 00:23:24,760 Speaker 2: AI involved. I've noticed we've all noticed, I think lately, 492 00:23:24,880 --> 00:23:28,119 Speaker 2: that every company seems to be using artificial intelligence. Are 493 00:23:28,200 --> 00:23:30,280 Speaker 2: you seeing that in any of the companies that you. 494 00:23:30,359 --> 00:23:35,360 Speaker 8: Cover, Yeah, there's it's AI, and it's for medtech. It's 495 00:23:35,359 --> 00:23:39,960 Speaker 8: specifically machine learning. So you're learning from the past procedures, 496 00:23:40,400 --> 00:23:44,960 Speaker 8: whether it's surgery, whether it's knee replacements, and you're learning 497 00:23:45,040 --> 00:23:47,000 Speaker 8: to see what went right, what went wrong. You're learning 498 00:23:47,040 --> 00:23:49,920 Speaker 8: with these patients how the recovery is, and then you're 499 00:23:49,960 --> 00:23:52,360 Speaker 8: trying to use those and you're trying to show the doctor, hey, 500 00:23:52,760 --> 00:23:55,200 Speaker 8: why don't we try this method next time? And so 501 00:23:55,280 --> 00:23:57,920 Speaker 8: it's kind of you're building this big data machine learning 502 00:23:57,960 --> 00:24:00,520 Speaker 8: aspect to try to really streamline and kind of make 503 00:24:00,600 --> 00:24:03,080 Speaker 8: the surgery just more efficient. 504 00:24:03,440 --> 00:24:05,320 Speaker 1: All right, the two companies are three companies you've given 505 00:24:05,359 --> 00:24:07,320 Speaker 1: us so far, they're all up twenty thirty percent this year. 506 00:24:07,880 --> 00:24:10,680 Speaker 1: So in a medical technol and medical equipment business, this 507 00:24:10,840 --> 00:24:13,560 Speaker 1: is just a play that post pandemic, we're now going 508 00:24:13,600 --> 00:24:16,120 Speaker 1: back and getting procedures done. So your companies are doing well. 509 00:24:16,359 --> 00:24:18,720 Speaker 8: Yeah, I mean that's pretty much. Yeah, you're just answering 510 00:24:18,880 --> 00:24:20,440 Speaker 8: for me. Yeah, I can do his job. 511 00:24:20,480 --> 00:24:22,360 Speaker 1: I go want into Fidelity tomorrow and say buy these 512 00:24:22,359 --> 00:24:23,680 Speaker 1: stocks because. 513 00:24:24,000 --> 00:24:25,840 Speaker 8: Yeah, but you know what, the thing though, is that 514 00:24:26,480 --> 00:24:30,000 Speaker 8: because of the rally of this year so far, this earnings, 515 00:24:30,000 --> 00:24:32,680 Speaker 8: you've had to be have had a perfect report or 516 00:24:32,760 --> 00:24:35,760 Speaker 8: else the market's going to kick back. And you know, 517 00:24:35,920 --> 00:24:41,680 Speaker 8: Intertutive Surgical, for example, they beat estimates, they raised guidance, 518 00:24:41,880 --> 00:24:45,240 Speaker 8: but in their call they made one comment that there 519 00:24:45,320 --> 00:24:47,680 Speaker 8: is slower growth in bariatric surgery, which is just a 520 00:24:47,760 --> 00:24:50,399 Speaker 8: small portion of the total surgeries, and the reason was 521 00:24:50,440 --> 00:24:54,159 Speaker 8: that patients are trying ozeenpic and other weight loss drugs 522 00:24:54,240 --> 00:24:59,680 Speaker 8: before going to weight loss surgery, and so that big competition, 523 00:25:00,000 --> 00:25:01,440 Speaker 8: a big competition there. 524 00:25:02,080 --> 00:25:03,879 Speaker 2: Yeah, why go under the knife if you can just 525 00:25:04,000 --> 00:25:06,600 Speaker 2: give yourself a shot in the arm or wherever they 526 00:25:06,680 --> 00:25:08,880 Speaker 2: get it and and lose weight. That way. 527 00:25:09,000 --> 00:25:10,399 Speaker 1: All right, are you gonna you're gonna come back and 528 00:25:10,400 --> 00:25:12,480 Speaker 1: talk to U about zempek at zempic or whatever it is. 529 00:25:12,560 --> 00:25:13,520 Speaker 1: I don't, I can't. Image. 530 00:25:13,520 --> 00:25:14,399 Speaker 2: Got to get me a prescription. 531 00:25:14,560 --> 00:25:17,200 Speaker 1: Man, You got a money buddy. All right, Matt, thanks 532 00:25:17,200 --> 00:25:19,439 Speaker 1: so much for joining us. Matt Hendrickson, he's a senior 533 00:25:19,480 --> 00:25:23,520 Speaker 1: equity analyst covering the medtech space for Bloomberg Intelligence and again, 534 00:25:23,640 --> 00:25:26,879 Speaker 1: terminal users can find all the research at b I Go. 535 00:25:28,600 --> 00:25:31,960 Speaker 6: You're listening to the team. Ken's are Live program Bloomberg 536 00:25:32,080 --> 00:25:35,280 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg dot com, 537 00:25:35,520 --> 00:25:38,640 Speaker 6: the iHeartRadio app, and the Bloomberg Business App, or listen 538 00:25:38,720 --> 00:25:40,840 Speaker 6: on demand wherever you get your podcasts. 539 00:25:41,920 --> 00:25:45,800 Speaker 1: All right, let's talk space. Let's talk investing in space. 540 00:25:46,040 --> 00:25:48,560 Speaker 1: Justice Palmer joins this year. He's the CEO and founder 541 00:25:48,800 --> 00:25:51,040 Speaker 1: for Tuna Investments. He joins us here in our Bloomberg 542 00:25:51,359 --> 00:25:55,360 Speaker 1: Interactive Broker studio. He is streaming on YouTube. Justice talk 543 00:25:55,359 --> 00:25:57,240 Speaker 1: to us about Fortuna, what do you guys do, And 544 00:25:57,320 --> 00:26:00,280 Speaker 1: talk to us about kind of your investments in space. 545 00:26:00,560 --> 00:26:04,480 Speaker 9: Absolutely so. We're an award winning venture capital firm. We've 546 00:26:04,560 --> 00:26:08,280 Speaker 9: had a tremendous track record in other industries. We famously 547 00:26:08,320 --> 00:26:10,960 Speaker 9: made a name for ourselves back in twenty sixteen, twenty seventeen. 548 00:26:11,400 --> 00:26:13,800 Speaker 9: That was back when Elon and Tesla were just beginning 549 00:26:13,800 --> 00:26:17,720 Speaker 9: to take off. It wasn't the star. Tesla was not 550 00:26:17,800 --> 00:26:20,760 Speaker 9: the star then that it is now. Just to give 551 00:26:20,760 --> 00:26:23,200 Speaker 9: you context, Elon was selling like sixty thousand cars a year. 552 00:26:23,520 --> 00:26:25,720 Speaker 9: He's selling two million cars a year now. 553 00:26:25,800 --> 00:26:27,800 Speaker 1: And you guys invested in So we didn't. 554 00:26:28,040 --> 00:26:30,040 Speaker 9: We stayed away from Tesla. But what we did was 555 00:26:30,119 --> 00:26:32,880 Speaker 9: we realized it was the lithium ion batteries that were 556 00:26:32,880 --> 00:26:35,440 Speaker 9: fueling this electrification. And so what we did is we 557 00:26:35,520 --> 00:26:38,440 Speaker 9: founded and we co founded a couple companies in that industry. 558 00:26:38,920 --> 00:26:40,800 Speaker 9: One went to a billion dollars on NASDAC and the 559 00:26:40,880 --> 00:26:42,920 Speaker 9: other one was sold last year for four hundred and 560 00:26:42,960 --> 00:26:45,680 Speaker 9: sixty million dollars. So we've had a tremendous track record 561 00:26:45,680 --> 00:26:48,200 Speaker 9: in other industries. Now we've turned our attention to this 562 00:26:48,359 --> 00:26:50,760 Speaker 9: new space economy. We believe this to be a once 563 00:26:50,800 --> 00:26:52,840 Speaker 9: in a lifetime opportunity and we're so happy to be 564 00:26:52,880 --> 00:26:53,440 Speaker 9: on the front line. 565 00:26:53,720 --> 00:26:58,119 Speaker 2: And so Starfighters Space is the first investment that you're making. 566 00:26:58,720 --> 00:27:00,920 Speaker 2: Tell us about this company is not everyone's heard of it. 567 00:27:01,280 --> 00:27:04,280 Speaker 9: Yeah, So it's a private company. They're they're located at 568 00:27:04,280 --> 00:27:07,040 Speaker 9: the John F. Kennedy Space Center at NASA, right beside 569 00:27:07,080 --> 00:27:12,160 Speaker 9: Jeff and Elon. And so what Elon and obviously SpaceX 570 00:27:12,200 --> 00:27:14,359 Speaker 9: gets a lot of headlines. And so the secret sauce 571 00:27:14,400 --> 00:27:17,880 Speaker 9: what Elon's doing is he's got this Falcon nine rocket cranking. 572 00:27:18,040 --> 00:27:20,040 Speaker 9: He's he's taking it up every single week, and he's 573 00:27:20,080 --> 00:27:23,440 Speaker 9: focusing on the heavy payload, big satellites, heavy payload. That's 574 00:27:23,480 --> 00:27:25,680 Speaker 9: what he's got going on. And so for us at Fortuna, 575 00:27:25,800 --> 00:27:27,920 Speaker 9: we realize there's a void in the market because the 576 00:27:27,960 --> 00:27:30,400 Speaker 9: small satellites are actually being neglected in a certain way 577 00:27:30,600 --> 00:27:33,240 Speaker 9: and technology is actually getting smaller and smaller and smaller. 578 00:27:33,600 --> 00:27:36,000 Speaker 9: So we've made a fifty million dollar commitment to Starfighters 579 00:27:36,400 --> 00:27:39,240 Speaker 9: to help grow this beautiful space ecosystem that's that's starting 580 00:27:39,240 --> 00:27:39,600 Speaker 9: to emerge. 581 00:27:39,680 --> 00:27:43,520 Speaker 2: So small satellites, they're like shoebox size satellites right that 582 00:27:43,640 --> 00:27:48,639 Speaker 2: are getting launched in the dozens with these kind of 583 00:27:49,200 --> 00:27:52,360 Speaker 2: you have a f one to zero four supersonic aircraft, 584 00:27:52,520 --> 00:27:54,440 Speaker 2: How did they how do they launch those? They just 585 00:27:54,560 --> 00:27:56,680 Speaker 2: fly up to the top and kick them out or 586 00:27:57,240 --> 00:28:00,000 Speaker 2: what is their paid delivery, you know your stuff. 587 00:28:00,200 --> 00:28:00,720 Speaker 1: It's amazing. 588 00:28:00,760 --> 00:28:03,320 Speaker 9: So yeah, so the short answers, Yes, technologies getting smaller 589 00:28:03,320 --> 00:28:05,040 Speaker 9: and smaller, and so they could be anywhere from like 590 00:28:05,040 --> 00:28:07,000 Speaker 9: a pizza box all the way to even the size 591 00:28:07,000 --> 00:28:09,960 Speaker 9: of your iPhone. And they're called small SATs nanosats. And 592 00:28:10,119 --> 00:28:12,719 Speaker 9: so Starfighters with our funding is actually going to get 593 00:28:12,720 --> 00:28:15,000 Speaker 9: their launch license. So they expect to have their launch 594 00:28:15,080 --> 00:28:17,359 Speaker 9: license in the next eight to twelve months. And as 595 00:28:17,400 --> 00:28:19,560 Speaker 9: soon as we get that launch license, as Paul said, 596 00:28:19,600 --> 00:28:21,600 Speaker 9: we already have the nine F one oh four fighter 597 00:28:21,680 --> 00:28:26,200 Speaker 9: jets that fly mock two speeds tremendously fast. Obviously, and 598 00:28:26,240 --> 00:28:28,280 Speaker 9: if you think about the nine fighter jets that we have, 599 00:28:28,800 --> 00:28:31,879 Speaker 9: that's bigger than I don't know Switzerland's you know air force, 600 00:28:31,960 --> 00:28:34,520 Speaker 9: are certain countries air force. Right, So we've got this 601 00:28:34,600 --> 00:28:37,000 Speaker 9: as a private company, one hundred percent own, no debt, 602 00:28:37,240 --> 00:28:39,280 Speaker 9: and we look really forward to taking this next step 603 00:28:39,360 --> 00:28:40,400 Speaker 9: in terms of the launch game. 604 00:28:41,000 --> 00:28:44,680 Speaker 1: How do retail investors play, you know, investing in space. 605 00:28:45,560 --> 00:28:47,480 Speaker 9: Sure, and so it's a bit of a loaded question, 606 00:28:47,600 --> 00:28:52,080 Speaker 9: but here's what I'll say. I believe that the mark 607 00:28:52,160 --> 00:28:53,880 Speaker 9: So we've come off the worst market crash in the 608 00:28:53,960 --> 00:28:57,160 Speaker 9: last twenty years, since two thousand and eight, almost twenty years, 609 00:28:57,720 --> 00:29:00,760 Speaker 9: and so a lot of the stocks have been extremely 610 00:29:01,360 --> 00:29:04,920 Speaker 9: depressed in that industry, in all industries, albeit obviously there's 611 00:29:04,920 --> 00:29:07,080 Speaker 9: been an uptick in the last couple of months or so. 612 00:29:07,440 --> 00:29:09,840 Speaker 9: But we have fortuna believe that the markets to perform 613 00:29:09,960 --> 00:29:13,080 Speaker 9: extremely well over the next couple of years. Reason being 614 00:29:13,200 --> 00:29:15,200 Speaker 9: is there's trillions of dollars of cash on the sidelines. 615 00:29:15,600 --> 00:29:21,880 Speaker 9: We've we've seen peak interest rates. We also realize that 616 00:29:22,280 --> 00:29:24,960 Speaker 9: there's gonna be a many activity galore, and there's a 617 00:29:25,000 --> 00:29:26,800 Speaker 9: lot and it's a US presidential here coming up, so 618 00:29:26,840 --> 00:29:29,040 Speaker 9: there's a lot of really interesting catalysts coming up for 619 00:29:29,120 --> 00:29:31,880 Speaker 9: the equity markets. We think the market's going to perform well. 620 00:29:32,160 --> 00:29:35,160 Speaker 9: And within their space has been a depressed category that 621 00:29:35,280 --> 00:29:36,680 Speaker 9: we think is going to perform very well of the 622 00:29:36,680 --> 00:29:37,360 Speaker 9: next couple of years. 623 00:29:38,040 --> 00:29:42,080 Speaker 2: So what I was gonna ask, what else is there 624 00:29:42,200 --> 00:29:47,479 Speaker 2: besides launching satellites. We hear so much about space mining, 625 00:29:47,600 --> 00:29:50,120 Speaker 2: but I don't think anyone's ever really achieved that, and 626 00:29:50,200 --> 00:29:53,760 Speaker 2: it seems like it must be a decade away. So 627 00:29:53,840 --> 00:29:54,240 Speaker 2: what else? 628 00:29:54,360 --> 00:29:54,600 Speaker 5: I mean? 629 00:29:54,800 --> 00:29:56,600 Speaker 2: I know Elon Musk wants to go to Mars and 630 00:29:56,680 --> 00:29:58,840 Speaker 2: put a colony there. What are we talking about? 631 00:29:59,320 --> 00:30:01,640 Speaker 9: Yeah, so we at Fortuna. So we're blasted. We've got 632 00:30:01,640 --> 00:30:04,040 Speaker 9: you know, almost thirty individuals, thirty folks on our team. 633 00:30:04,320 --> 00:30:07,280 Speaker 9: You know, these are research analysts, these are investment bankers. 634 00:30:07,400 --> 00:30:09,960 Speaker 9: CCFA is all sorts of brilliant people. So we actually 635 00:30:09,960 --> 00:30:12,280 Speaker 9: get pitched three, four, up to five times a day 636 00:30:12,280 --> 00:30:15,040 Speaker 9: from various space companies looking for investment. So to answer 637 00:30:15,080 --> 00:30:17,520 Speaker 9: your question, Matt, we see it all or not all, 638 00:30:17,680 --> 00:30:19,640 Speaker 9: but we see a lot of really really interesting things 639 00:30:19,720 --> 00:30:22,320 Speaker 9: coming through our desks. And so I agree with you. 640 00:30:22,440 --> 00:30:25,800 Speaker 9: I think that the space mining is still maybe eight 641 00:30:25,880 --> 00:30:29,520 Speaker 9: to twelve years out potentially, but there are interesting applications 642 00:30:29,600 --> 00:30:32,360 Speaker 9: such as, for example, solar solar energy. We have for 643 00:30:32,440 --> 00:30:34,440 Speaker 9: tune our big and solar energy. We've got solar energy 644 00:30:34,440 --> 00:30:37,160 Speaker 9: investments here in the US. But just conceivably, if you 645 00:30:37,200 --> 00:30:40,360 Speaker 9: think about it, the Sun that we get on planet 646 00:30:40,480 --> 00:30:43,960 Speaker 9: Earth here, it's actually diluted, It's diluted by the Earth's atmosphere, 647 00:30:44,040 --> 00:30:46,280 Speaker 9: and we got a very deluded version of the Sun. 648 00:30:46,680 --> 00:30:48,360 Speaker 9: And so if, if, and when we're able to have 649 00:30:48,960 --> 00:30:52,800 Speaker 9: satellites with solar in outer space, you think about that 650 00:30:53,200 --> 00:30:56,320 Speaker 9: it's gonna be ten times, ten thousand times more powerful. 651 00:30:56,560 --> 00:30:59,640 Speaker 9: Clean sun and things like this are going to be 652 00:30:59,680 --> 00:31:02,200 Speaker 9: the few of this beautiful industries that's just starting to 653 00:31:02,240 --> 00:31:02,720 Speaker 9: come together. 654 00:31:03,760 --> 00:31:06,560 Speaker 2: The scoard would be so long, you know, yeah, exactly. 655 00:31:06,840 --> 00:31:11,040 Speaker 1: So, I mean, kind of what's the VC world like 656 00:31:11,120 --> 00:31:13,520 Speaker 1: today in terms of raising capital deploying capital. We've got 657 00:31:13,600 --> 00:31:16,720 Speaker 1: higher interest rates. The world's really changed from that free 658 00:31:16,760 --> 00:31:18,600 Speaker 1: money of just you know a couple of years ago. 659 00:31:19,360 --> 00:31:20,920 Speaker 1: How has it kind of impacted your business? 660 00:31:21,480 --> 00:31:24,000 Speaker 9: Yeah, so that's just it. The growth stuff has been 661 00:31:24,080 --> 00:31:26,960 Speaker 9: really really hurt. Vcs are very shy to put money out, 662 00:31:27,240 --> 00:31:29,040 Speaker 9: although that might have changed in the last thirty days 663 00:31:29,080 --> 00:31:31,959 Speaker 9: with this AI push. Aside from the AI, it's been 664 00:31:32,000 --> 00:31:34,640 Speaker 9: a really really tight industry. A lot of guys are 665 00:31:34,720 --> 00:31:38,200 Speaker 9: licking their chops because they've financed companies at extremely high valuations, 666 00:31:38,320 --> 00:31:40,240 Speaker 9: many of which will probably never be seen before. 667 00:31:40,640 --> 00:31:41,520 Speaker 2: So it's really tricky. 668 00:31:41,600 --> 00:31:44,240 Speaker 9: But for us at Fortuna, we monitored the space industry. 669 00:31:44,360 --> 00:31:45,920 Speaker 9: We actually thought it was a little bit two point 670 00:31:46,000 --> 00:31:47,800 Speaker 9: over the last couple of years with the spack craze 671 00:31:47,800 --> 00:31:49,680 Speaker 9: and some of these things are going on. We did 672 00:31:49,720 --> 00:31:51,800 Speaker 9: our homework and we're actually using this as a perfect 673 00:31:51,960 --> 00:31:54,200 Speaker 9: entry point in our opinion, where technology has been the 674 00:31:54,240 --> 00:31:56,840 Speaker 9: furthest it's ever been, and valuations have actually been the cheapest. 675 00:31:57,040 --> 00:31:59,000 Speaker 9: We played a long game, We played five year, ten 676 00:31:59,080 --> 00:32:02,000 Speaker 9: year cycles, and so for that reason alone, it's a 677 00:32:02,040 --> 00:32:03,760 Speaker 9: tremendously exciting opportunity. 678 00:32:04,280 --> 00:32:09,040 Speaker 2: Did you see the congressional hearing the other day on UFOs. 679 00:32:09,560 --> 00:32:10,320 Speaker 1: Yeah, they're working on that. 680 00:32:10,760 --> 00:32:15,840 Speaker 2: So apparently we have some alien wreckage. It's top secret, 681 00:32:15,920 --> 00:32:16,800 Speaker 2: totally classified. 682 00:32:17,400 --> 00:32:20,440 Speaker 1: So why are you saying it? You're just out the whole. 683 00:32:20,520 --> 00:32:24,160 Speaker 2: I mean, that was that was the big thing about this, uh, 684 00:32:24,600 --> 00:32:29,080 Speaker 2: this congressional panel. If we could just if we could 685 00:32:29,120 --> 00:32:33,000 Speaker 2: just get some of that technology, imagine how much you could, 686 00:32:33,480 --> 00:32:35,400 Speaker 2: you know, supersize the space investment. 687 00:32:36,120 --> 00:32:38,600 Speaker 1: Yep. So I mean all right, so just moving. 688 00:32:40,200 --> 00:32:41,680 Speaker 2: I mean you know what I was thought. I thought 689 00:32:41,720 --> 00:32:43,960 Speaker 2: of it because you asked how does a retail investor 690 00:32:44,000 --> 00:32:47,440 Speaker 2: get in in space? And my immediate reaction is to 691 00:32:47,520 --> 00:32:49,960 Speaker 2: type in ETF go on the Bloomberg terminal. So I 692 00:32:50,040 --> 00:32:52,960 Speaker 2: do that, and I put space in the description, and 693 00:32:53,000 --> 00:32:55,320 Speaker 2: then I get rc X is an ETF you. 694 00:32:55,280 --> 00:32:55,760 Speaker 6: Could use it? 695 00:32:55,880 --> 00:32:59,080 Speaker 9: And so Athy Wood UFO IF is another one rocket 696 00:32:59,440 --> 00:33:01,320 Speaker 9: r O K T it is hitting fifty two week highs. 697 00:33:01,320 --> 00:33:03,560 Speaker 9: Take a look at Rocket. It's a really nice basket. 698 00:33:04,160 --> 00:33:06,040 Speaker 9: The stock looks from the bottom left to the top 699 00:33:06,160 --> 00:33:09,200 Speaker 9: right General Electric for example. That's a great way, in 700 00:33:09,240 --> 00:33:10,320 Speaker 9: my humble opinion, to play it. 701 00:33:10,680 --> 00:33:11,240 Speaker 6: Obviously, talk to. 702 00:33:11,240 --> 00:33:13,600 Speaker 9: Your own financial advisors, not financial advice, but you know, 703 00:33:13,680 --> 00:33:16,640 Speaker 9: ge was a global congomerate. They're getting rid of everything, 704 00:33:16,840 --> 00:33:20,280 Speaker 9: including healthcare, and they're only focusing on aerospace and avionics. 705 00:33:20,360 --> 00:33:21,680 Speaker 9: And if you take a look at that chart, it's 706 00:33:21,680 --> 00:33:24,200 Speaker 9: been one of the best performing stocks out there. And 707 00:33:24,400 --> 00:33:27,200 Speaker 9: so that's another, you know, low access, easy way to 708 00:33:27,320 --> 00:33:29,000 Speaker 9: start to you know, look at these things. Because the 709 00:33:29,040 --> 00:33:31,360 Speaker 9: reality is all the listeners at home and some of 710 00:33:31,400 --> 00:33:33,680 Speaker 9: the folks they don't have the chance to necessarily buy 711 00:33:33,760 --> 00:33:37,080 Speaker 9: the SpaceX is or the Relativities or the Fireflies or 712 00:33:37,120 --> 00:33:39,640 Speaker 9: some of these private companies that the VC world are currently. 713 00:33:39,640 --> 00:33:41,960 Speaker 2: Can you buy SpaceX on the secondary market? 714 00:33:42,080 --> 00:33:44,040 Speaker 9: Yeah, we ironically, we had an opportunity to buy it 715 00:33:44,080 --> 00:33:47,000 Speaker 9: back in twenty fifteen at a fifteen billion dollar valuation. 716 00:33:47,520 --> 00:33:50,080 Speaker 9: Obviously we did not do that. Why would we still 717 00:33:50,160 --> 00:33:52,680 Speaker 9: kind of kicking ourselves, but yeah, we do get offered 718 00:33:53,000 --> 00:33:55,400 Speaker 9: the SpaceX rounds of financing absolutely, But what we try 719 00:33:55,440 --> 00:33:57,160 Speaker 9: and look for we try and find the SpaceX is 720 00:33:57,160 --> 00:33:59,280 Speaker 9: before they turn into the SpaceX, So we're not necessarily 721 00:33:59,280 --> 00:34:01,800 Speaker 9: looking for a fifty billion dollar company. We're looking for 722 00:34:02,120 --> 00:34:02,760 Speaker 9: an earlier stage. 723 00:34:03,120 --> 00:34:07,000 Speaker 1: Is private space industry? Is it primarily a US industry? 724 00:34:07,040 --> 00:34:08,640 Speaker 1: Are there other countries doing it as well? 725 00:34:08,680 --> 00:34:08,799 Speaker 7: Though? 726 00:34:08,880 --> 00:34:11,040 Speaker 9: It is a global industry. It's a five hundred and 727 00:34:11,080 --> 00:34:14,560 Speaker 9: forty billion dollar global industry. Of that, the US base 728 00:34:14,920 --> 00:34:17,279 Speaker 9: US is over two hundred billion, so it's almost half 729 00:34:17,440 --> 00:34:20,640 Speaker 9: of the global output. We Fortuna believe it's going to 730 00:34:20,719 --> 00:34:22,719 Speaker 9: a trillion dollar industry this decade. It's going to be 731 00:34:22,760 --> 00:34:26,640 Speaker 9: the fastest growing industry next to potentially AI coming up here, 732 00:34:26,760 --> 00:34:28,680 Speaker 9: which is one of the reasons we're so excited about 733 00:34:28,680 --> 00:34:29,200 Speaker 9: this industry. 734 00:34:29,320 --> 00:34:30,759 Speaker 2: A lot of those launches go out of French. 735 00:34:30,800 --> 00:34:33,839 Speaker 1: Guyana yep right, yep, yeap went down there once back 736 00:34:33,880 --> 00:34:36,960 Speaker 1: in the day for one of the when the satellite 737 00:34:37,000 --> 00:34:40,240 Speaker 1: industry is just kind of kicking off. It's a good trip. Actually, 738 00:34:40,560 --> 00:34:44,160 Speaker 1: just as palm Our, CEO and founder Fortuna Investments, joining 739 00:34:44,200 --> 00:34:47,080 Speaker 1: us here in our Bloomberg Interactive broken student's talking about space. 740 00:34:47,200 --> 00:34:50,880 Speaker 1: Investing in space as a venture capitalist lots of opportunities. 741 00:34:50,920 --> 00:34:53,520 Speaker 1: There SMP five hundred. There's opportunities right there. It's up 742 00:34:53,600 --> 00:34:57,520 Speaker 1: over one percent today. The Nasdaq is up one point 743 00:34:57,600 --> 00:35:00,279 Speaker 1: nine percent, So there you go. The market's definitely liking 744 00:35:00,360 --> 00:35:02,120 Speaker 1: what they heard from the earning side and liking what 745 00:35:02,160 --> 00:35:05,640 Speaker 1: they heard from some of these central bankers, reflecting that 746 00:35:05,719 --> 00:35:06,400 Speaker 1: in the marketplace. 747 00:35:06,880 --> 00:35:10,480 Speaker 6: You're listening to the tape catchur live program Bloomberg Markets 748 00:35:10,560 --> 00:35:13,959 Speaker 6: weekdays at ten am Eastern on Bloomberg Radio, the tune 749 00:35:14,000 --> 00:35:16,919 Speaker 6: in app, Bloomberg dot Com, and the Bloomberg Business app. 750 00:35:17,000 --> 00:35:19,759 Speaker 6: You can also listen live on Amazon Alexa from our 751 00:35:19,840 --> 00:35:24,200 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 752 00:35:25,560 --> 00:35:29,239 Speaker 1: Let's bring that conversation. Intel C Pat Gelsinger. He joins 753 00:35:29,360 --> 00:35:33,200 Speaker 1: Edla alone Caroline Height on Bloomberg Technology today after reporting earnings. 754 00:35:33,480 --> 00:35:34,960 Speaker 1: Let's go to that conversation right now. 755 00:35:35,040 --> 00:35:38,919 Speaker 10: I wants to welcome our global Bloomberg TV and radio audiences. 756 00:35:39,200 --> 00:35:43,279 Speaker 10: Intel shares are jumping, with investors buying into signs that 757 00:35:43,400 --> 00:35:48,240 Speaker 10: the chip maker's long awaited comeback is underway. Inteler's forecasting 758 00:35:48,320 --> 00:35:51,520 Speaker 10: sales in the current quarter of thirteen point nine billion 759 00:35:51,600 --> 00:35:53,760 Speaker 10: dollars ahead of expectations. 760 00:35:53,800 --> 00:35:55,160 Speaker 1: The company also notched. 761 00:35:55,120 --> 00:35:58,040 Speaker 10: A surprise profit of thirteen cents a share in the 762 00:35:58,080 --> 00:36:01,560 Speaker 10: quarter just gone as a slump him demand for personal 763 00:36:01,640 --> 00:36:04,800 Speaker 10: computers appears to be come into an end. It's not 764 00:36:05,000 --> 00:36:08,440 Speaker 10: all good news. Server demand isn't recovering as quickly. The 765 00:36:08,560 --> 00:36:11,000 Speaker 10: company is still a little bit far from its heyday 766 00:36:11,120 --> 00:36:14,360 Speaker 10: where margins where at sixty percent sales were nearer to 767 00:36:14,440 --> 00:36:18,840 Speaker 10: twenty billion dollars. Even so, joining us now Intel's CEO 768 00:36:19,560 --> 00:36:23,279 Speaker 10: Pat Gelsinger. You know, Pat, this is the second consecutive 769 00:36:23,400 --> 00:36:29,480 Speaker 10: quarter where investors have cheered the earnings results shares her 770 00:36:29,560 --> 00:36:32,279 Speaker 10: up and I think before twenty twenty three, ten out 771 00:36:32,320 --> 00:36:35,200 Speaker 10: of the eleven earnings prints that you had shares fell. 772 00:36:36,160 --> 00:36:37,160 Speaker 2: Is this job done for you? 773 00:36:37,480 --> 00:36:38,680 Speaker 10: In the turnaround at Intel? 774 00:36:40,239 --> 00:36:40,719 Speaker 5: Well ed? 775 00:36:40,920 --> 00:36:43,759 Speaker 11: We have a long way to go yet, but boy, 776 00:36:43,880 --> 00:36:47,279 Speaker 11: having two good Beaten Ray quarters in a row, you know, 777 00:36:47,480 --> 00:36:50,840 Speaker 11: is a super positive and really I think in THEKPI 778 00:36:51,440 --> 00:36:55,239 Speaker 11: of that turning point for the company. But we still 779 00:36:55,280 --> 00:36:56,600 Speaker 11: have a lot of work to do yet. You know, 780 00:36:56,680 --> 00:36:59,960 Speaker 11: as we said, our client business is now healthy foot. 781 00:37:00,280 --> 00:37:02,839 Speaker 11: You know, we've returned market shared to where it traditionally 782 00:37:03,160 --> 00:37:04,440 Speaker 11: was a strong roadmap. 783 00:37:04,800 --> 00:37:07,479 Speaker 5: You know, the markets recovering. Inventory levels are. 784 00:37:07,400 --> 00:37:09,600 Speaker 11: Good, you know, Data Center, we still have work to do, 785 00:37:09,800 --> 00:37:11,759 Speaker 11: but boy, you know two quarters in a row where 786 00:37:11,800 --> 00:37:14,040 Speaker 11: we did a bit better than we expected, you know, 787 00:37:14,120 --> 00:37:16,759 Speaker 11: but we still have challenges in AI, you know, and 788 00:37:16,960 --> 00:37:19,800 Speaker 11: many of our really good products are only coming to 789 00:37:19,920 --> 00:37:21,439 Speaker 11: market over the next year. 790 00:37:21,880 --> 00:37:22,000 Speaker 5: You know. 791 00:37:22,120 --> 00:37:24,480 Speaker 11: Networking is still a lot of inventory to work through, 792 00:37:24,760 --> 00:37:27,759 Speaker 11: and our foundry business is still just a seedling, just 793 00:37:27,880 --> 00:37:30,520 Speaker 11: starting to show some green shoots. So I'll say, boy, 794 00:37:30,680 --> 00:37:33,360 Speaker 11: far from finished, but it is nice bouncing off the 795 00:37:33,400 --> 00:37:35,760 Speaker 11: bottom a bit and feeling that momentum in the market. 796 00:37:35,840 --> 00:37:39,560 Speaker 10: Response, Pat, why do you have the confidence to kind 797 00:37:39,600 --> 00:37:43,400 Speaker 10: of cool the end of the PC slump and also 798 00:37:43,440 --> 00:37:46,080 Speaker 10: at the same time state that the server recovery is 799 00:37:46,160 --> 00:37:47,399 Speaker 10: delayed to the end of the year. 800 00:37:49,120 --> 00:37:51,920 Speaker 11: Yeah, and the PC side, you know, inventory levels are 801 00:37:52,000 --> 00:37:54,840 Speaker 11: now healthy, right, you know, everything that we've seen and 802 00:37:54,960 --> 00:37:58,399 Speaker 11: a lot of the issues that we work through Q four, 803 00:37:58,560 --> 00:38:01,759 Speaker 11: Q one and Q two were over inventory levels by 804 00:38:01,800 --> 00:38:05,240 Speaker 11: the OEMs and the channel, and now everything is healthy. 805 00:38:05,680 --> 00:38:09,520 Speaker 11: Our roadmap is very good. We've gained share multiple times 806 00:38:09,960 --> 00:38:11,640 Speaker 11: in a row. I think we're now at five out 807 00:38:11,680 --> 00:38:14,680 Speaker 11: of six quarters where we've gained market share so I 808 00:38:14,800 --> 00:38:18,279 Speaker 11: just say in the PC business healthy, Our position is good, 809 00:38:18,680 --> 00:38:22,279 Speaker 11: and we're looking forward to the AI PC and with 810 00:38:22,400 --> 00:38:25,759 Speaker 11: our launch of our next generation product, meteor Lake later 811 00:38:25,880 --> 00:38:28,440 Speaker 11: this year. You know, we believe that ushers in the 812 00:38:28,800 --> 00:38:32,600 Speaker 11: AI PC generation and I've compared that to like Centrino 813 00:38:32,760 --> 00:38:35,960 Speaker 11: and Wi Fi, you know, two decades ago, a major 814 00:38:36,080 --> 00:38:39,279 Speaker 11: new use case for why the PC is the best platform. 815 00:38:39,600 --> 00:38:40,960 Speaker 5: So we're quite excited about that. 816 00:38:41,480 --> 00:38:43,920 Speaker 11: On the data center side, you know, we still saw that, 817 00:38:44,200 --> 00:38:47,240 Speaker 11: you know, the inventory levels still persist. You know, China 818 00:38:47,440 --> 00:38:50,520 Speaker 11: was weaker than expected. Their recovery is going slower. And 819 00:38:51,040 --> 00:38:54,239 Speaker 11: you know, cyclically we see the shift toward AI you know, 820 00:38:54,360 --> 00:38:57,759 Speaker 11: these big training machines. Every cloud vendor is shifting their 821 00:38:57,880 --> 00:39:00,600 Speaker 11: dollars to more focus on that. So those three things 822 00:39:00,880 --> 00:39:04,239 Speaker 11: are leading to a bit longer recovery cycle on the 823 00:39:04,360 --> 00:39:06,719 Speaker 11: data center. Well, like I said, we performed a bit 824 00:39:06,760 --> 00:39:08,640 Speaker 11: better than we thought on the data center in Q 825 00:39:08,840 --> 00:39:11,840 Speaker 11: one m Q two, So we're feeling like our momentum 826 00:39:12,080 --> 00:39:15,239 Speaker 11: and execution is rebuilding despite some of those headwinds that 827 00:39:15,360 --> 00:39:16,680 Speaker 11: still persist in that area. 828 00:39:17,560 --> 00:39:20,360 Speaker 10: For our global TV and radio audience here at Bloomberg, 829 00:39:20,400 --> 00:39:24,560 Speaker 10: we're speaking to Pat Gelsinger, the Intel CEO. Pat you're 830 00:39:24,560 --> 00:39:29,120 Speaker 10: forecasting gross margin of forty three percent in the current period, 831 00:39:29,800 --> 00:39:32,600 Speaker 10: but it's a long way from that sixty percent gross 832 00:39:32,680 --> 00:39:34,680 Speaker 10: margin level. You know, Wall Street used to look at 833 00:39:34,719 --> 00:39:38,440 Speaker 10: Intel and say sixty percent. You know, they cheer you 834 00:39:38,480 --> 00:39:40,960 Speaker 10: as a leader in that space. Can you just explain 835 00:39:41,080 --> 00:39:44,800 Speaker 10: to our global audience the timeline and path to getting 836 00:39:45,040 --> 00:39:46,839 Speaker 10: back to profit at that level. 837 00:39:48,480 --> 00:39:50,680 Speaker 11: Yeah, and we're working our way back in margins and 838 00:39:50,760 --> 00:39:53,640 Speaker 11: obviously a nice beat in Q two on margins, and 839 00:39:53,719 --> 00:39:56,160 Speaker 11: we forecast Q three a bit better and Q four 840 00:39:56,280 --> 00:39:58,440 Speaker 11: a bit better, you know. And part of it is 841 00:39:58,719 --> 00:40:03,560 Speaker 11: the cyclicality. The semiconductor industry is brutal on margins. And 842 00:40:03,640 --> 00:40:08,200 Speaker 11: when we had an oversupply situation inventory, you know, that 843 00:40:08,400 --> 00:40:12,239 Speaker 11: just depresses margins because you know, the factories cost the 844 00:40:12,320 --> 00:40:15,320 Speaker 11: same whether they're full or whether they're empty, so you 845 00:40:15,480 --> 00:40:18,839 Speaker 11: end up with these charges that you burden the price 846 00:40:18,960 --> 00:40:23,160 Speaker 11: points and depressed margins. We also realize that our own 847 00:40:23,239 --> 00:40:27,239 Speaker 11: product execution has weakened our product position, which doesn't have 848 00:40:27,320 --> 00:40:30,520 Speaker 11: asps as strong as well, So that's another factor. And 849 00:40:30,640 --> 00:40:33,200 Speaker 11: the last factor here is, you know, the plan that 850 00:40:34,239 --> 00:40:37,000 Speaker 11: my CFO Dave and I have laid out is an 851 00:40:37,040 --> 00:40:41,040 Speaker 11: expensive plan. We are making aggressive investments to build the 852 00:40:41,160 --> 00:40:44,840 Speaker 11: capacity to get back to leadership, and thus we're moving 853 00:40:44,920 --> 00:40:48,320 Speaker 11: through nodes very rapidly. We said five nodes in four years, 854 00:40:48,640 --> 00:40:51,240 Speaker 11: So that causes us to have a lot of undepreciated 855 00:40:51,760 --> 00:40:55,600 Speaker 11: capacity that we're working through quite aggressively. Also building up 856 00:40:55,680 --> 00:40:59,120 Speaker 11: a bit more capacity for our foundry initiatives. So all 857 00:40:59,200 --> 00:41:03,520 Speaker 11: of those factors depressed margins to historically low levels in 858 00:41:03,560 --> 00:41:05,520 Speaker 11: the first part of the year and we're just seeing 859 00:41:05,560 --> 00:41:08,840 Speaker 11: ourselves now working to build back to margin levels. But 860 00:41:08,920 --> 00:41:12,120 Speaker 11: we're still very confident that as we build our foundry 861 00:41:12,200 --> 00:41:16,040 Speaker 11: business get back to leadership and process and products. You 862 00:41:16,120 --> 00:41:18,919 Speaker 11: know that those kind of margins, that's exactly what Dave 863 00:41:18,960 --> 00:41:21,319 Speaker 11: and I aspire to to the future. And we feel 864 00:41:21,360 --> 00:41:23,920 Speaker 11: like you two was a good marker you know that, Yes, 865 00:41:24,000 --> 00:41:25,759 Speaker 11: we're building momentum to get back there. 866 00:41:26,800 --> 00:41:29,960 Speaker 10: Thank you for joining us here on Bloomberg Television and 867 00:41:30,200 --> 00:41:35,400 Speaker 10: Radio worldwide. We're joined by Pat Gelsinger, Intel CEO. You 868 00:41:35,560 --> 00:41:39,120 Speaker 10: described the foundry business as a seedling, but every time 869 00:41:39,239 --> 00:41:42,320 Speaker 10: you and I have spoken, you've hinted that there is 870 00:41:42,360 --> 00:41:47,959 Speaker 10: a big customer waiting in the wings to give life 871 00:41:48,080 --> 00:41:51,160 Speaker 10: to that business. What can you tell us about that, Pat. 872 00:41:52,160 --> 00:41:55,000 Speaker 11: Yeah, and we're having good momentum, and as I said 873 00:41:55,040 --> 00:41:58,600 Speaker 11: on the Ernie's call yesterday, we have two big customers 874 00:41:58,640 --> 00:42:00,960 Speaker 11: in particular that we made very good progress over the 875 00:42:01,040 --> 00:42:05,279 Speaker 11: last quarter for our foundry business. We did have one, 876 00:42:05,360 --> 00:42:08,560 Speaker 11: i'll say confirmatory, not as big a customer, but the 877 00:42:08,800 --> 00:42:12,160 Speaker 11: Ericsson announcement their commitment to eighteen A and our next 878 00:42:12,280 --> 00:42:13,360 Speaker 11: generation work. 879 00:42:13,480 --> 00:42:15,479 Speaker 5: You know with them that we announced this quarter. 880 00:42:15,800 --> 00:42:18,560 Speaker 11: So I'll say overall, we're seeing good momentum and a 881 00:42:18,800 --> 00:42:21,400 Speaker 11: really strong pipeline of customers, and we hope to make 882 00:42:22,080 --> 00:42:26,000 Speaker 11: meaningful announcements later this year on that. We also pointed 883 00:42:26,040 --> 00:42:28,480 Speaker 11: out on our earnings call that now we're seeing a 884 00:42:28,600 --> 00:42:31,560 Speaker 11: lot of interest in our packaging technologies. So it isn't 885 00:42:31,640 --> 00:42:35,840 Speaker 11: just wayfer manufacturing, it's also package assembly and tests. And 886 00:42:35,920 --> 00:42:40,799 Speaker 11: Intel has long term been a leader in packaging technologies, 887 00:42:41,160 --> 00:42:44,800 Speaker 11: and because of key areas like high performance computing and AI, 888 00:42:45,320 --> 00:42:49,600 Speaker 11: there's tremendous interest in these advanced packaging technologies and we're 889 00:42:49,640 --> 00:42:52,920 Speaker 11: finding a lot of customer interest in that incremental area 890 00:42:53,280 --> 00:42:55,960 Speaker 11: of the foundry business as well. So overall, you know, 891 00:42:56,040 --> 00:42:57,920 Speaker 11: and the numbers were good for us in Q two 892 00:42:58,120 --> 00:43:01,920 Speaker 11: for foundry, great pipeline of activities, Great progress on a 893 00:43:01,960 --> 00:43:05,120 Speaker 11: couple of these most major opportunities. So I'm feeling good 894 00:43:05,239 --> 00:43:08,239 Speaker 11: like we're starting to really see that momentum build in 895 00:43:08,360 --> 00:43:11,920 Speaker 11: this new business area for Intel or Intel Foundery services. 896 00:43:12,880 --> 00:43:16,600 Speaker 10: If we think about what a potential customer might be, 897 00:43:16,880 --> 00:43:19,560 Speaker 10: you know, at the scale of Apple, Google, or Video, 898 00:43:19,960 --> 00:43:22,320 Speaker 10: what is it that they want from you? What is 899 00:43:22,400 --> 00:43:24,120 Speaker 10: it do you think that you can provide them? 900 00:43:25,640 --> 00:43:27,239 Speaker 5: Yeah? You know when I view it, you know, we 901 00:43:27,360 --> 00:43:28,719 Speaker 5: have to go through four stages. 902 00:43:29,000 --> 00:43:29,160 Speaker 7: You know. 903 00:43:29,320 --> 00:43:31,960 Speaker 5: One is are my transistors good? You know? 904 00:43:32,080 --> 00:43:36,360 Speaker 11: Can they build good products using Intel? Second is do 905 00:43:36,480 --> 00:43:41,040 Speaker 11: I have the design tools? You know, the cadences and synopsis, 906 00:43:41,160 --> 00:43:44,400 Speaker 11: c das and the IP libraries. Have we gotten all 907 00:43:44,440 --> 00:43:47,160 Speaker 11: of those basics done so that they can design on us? 908 00:43:47,640 --> 00:43:47,759 Speaker 7: You know? 909 00:43:47,880 --> 00:43:50,680 Speaker 11: Then third, you know, do we have good terms and conditions? 910 00:43:50,760 --> 00:43:53,160 Speaker 11: Are they better off coming to me versus you know, 911 00:43:53,400 --> 00:43:56,000 Speaker 11: TSMC or Samsung as an alternative? 912 00:43:56,239 --> 00:43:58,759 Speaker 5: And then finally are we customer oriented? 913 00:43:59,160 --> 00:44:02,440 Speaker 11: Can they really have the support because my factory becomes 914 00:44:02,520 --> 00:44:04,839 Speaker 11: their factory, you know, So we have to work through 915 00:44:04,960 --> 00:44:08,080 Speaker 11: all four of those stages before they're ready to commit 916 00:44:08,400 --> 00:44:11,120 Speaker 11: major businesses to us, and that's why it takes a while. 917 00:44:11,239 --> 00:44:13,480 Speaker 11: You know, they got to do designs and tests and 918 00:44:13,640 --> 00:44:16,920 Speaker 11: pilots and you know, work through the financials, and you know, 919 00:44:17,000 --> 00:44:19,759 Speaker 11: this isn't a mature business area for US. But I'll 920 00:44:19,840 --> 00:44:22,560 Speaker 11: just say we're making great progress, and in particular, you know, 921 00:44:22,680 --> 00:44:25,560 Speaker 11: the two most significant opportunities. It was a really good 922 00:44:25,640 --> 00:44:28,520 Speaker 11: quarter and I'm feeling very optimistic that yes, we'll bring 923 00:44:28,600 --> 00:44:31,560 Speaker 11: them across the line and start to really accomplish what 924 00:44:31,680 --> 00:44:35,440 Speaker 11: we've laid out, you know, with our reshoring and building 925 00:44:35,520 --> 00:44:36,880 Speaker 11: the Western founder. 926 00:44:36,920 --> 00:44:38,160 Speaker 5: And we also had great. 927 00:44:38,000 --> 00:44:41,440 Speaker 11: Success with both the EU and the US chipsack this 928 00:44:41,640 --> 00:44:45,000 Speaker 11: last quarter, which are affirming the strong support you know, 929 00:44:45,160 --> 00:44:47,560 Speaker 11: of the Western governments on this strategy. 930 00:44:47,840 --> 00:44:50,160 Speaker 5: It's the right strategy at the right time. We're making 931 00:44:50,239 --> 00:44:50,880 Speaker 5: good progress. 932 00:44:51,400 --> 00:44:53,440 Speaker 10: A big part of your smart capital approach, we have 933 00:44:53,520 --> 00:44:56,319 Speaker 10: to talk about AI. You see a world in which 934 00:44:56,440 --> 00:45:00,359 Speaker 10: the PC plays a role for localized running of l ends. 935 00:45:00,760 --> 00:45:03,120 Speaker 10: But what are the use cases that you see pat 936 00:45:03,239 --> 00:45:07,840 Speaker 10: the applications where PC with AI specific chips is relevant. 937 00:45:09,480 --> 00:45:13,000 Speaker 11: Yeah, you know, to some degree, they're numerous. Ed you know, 938 00:45:13,120 --> 00:45:15,480 Speaker 11: let's just give one example. You know in the future, 939 00:45:15,560 --> 00:45:17,719 Speaker 11: my word processor, you know, I'm going to hit a 940 00:45:17,760 --> 00:45:20,320 Speaker 11: button and say, give me a legal brief that describes this, 941 00:45:20,600 --> 00:45:23,120 Speaker 11: and it's going to get locally generated, you know, my 942 00:45:23,600 --> 00:45:26,799 Speaker 11: video conferencing, my zine, my teams or zooms. I'm going 943 00:45:26,880 --> 00:45:29,000 Speaker 11: to say, you know, give me, you know, real time 944 00:45:29,200 --> 00:45:33,640 Speaker 11: translation across multiple languages, you know, for this meeting, and 945 00:45:33,840 --> 00:45:36,200 Speaker 11: I'm going to have that in real time on my PC. 946 00:45:36,719 --> 00:45:38,800 Speaker 11: You know, my games, you know, for my you know, 947 00:45:38,920 --> 00:45:41,960 Speaker 11: all of that is going to become synthetically generated worlds 948 00:45:42,120 --> 00:45:45,879 Speaker 11: locally on my PC in real time. So we see 949 00:45:45,920 --> 00:45:49,359 Speaker 11: it across creator, across productivity, you know. And as I've said, 950 00:45:49,440 --> 00:45:51,719 Speaker 11: this is sort of like a Wi Fi moment, you know, 951 00:45:51,920 --> 00:45:54,480 Speaker 11: for the PC of the future. And that begins with 952 00:45:54,600 --> 00:45:58,080 Speaker 11: our meteor like launch in the second half of this year. 953 00:45:59,120 --> 00:46:02,800 Speaker 10: Pat quickly a one billion dollar pipeline for AI products 954 00:46:02,840 --> 00:46:05,080 Speaker 10: through twenty twenty four. Just give me a sense of 955 00:46:05,560 --> 00:46:07,720 Speaker 10: the pace at which that pipeline is growing. 956 00:46:08,000 --> 00:46:13,680 Speaker 11: Now, Yeah, we had a super exciting quarter. As I said, 957 00:46:13,719 --> 00:46:16,560 Speaker 11: we six xt that pipeline in Q two, so we 958 00:46:16,640 --> 00:46:19,160 Speaker 11: saw a huge uptick on that, you know, and I've 959 00:46:19,239 --> 00:46:23,239 Speaker 11: deployed a lot more sales resources, software resources, you know, 960 00:46:23,360 --> 00:46:26,759 Speaker 11: to jump on those opportunities worldwide. You know, when we 961 00:46:26,880 --> 00:46:30,000 Speaker 11: have our Gouty two chip that is now in volume. 962 00:46:30,280 --> 00:46:32,480 Speaker 11: You know, we've just seen the first wafers on the 963 00:46:32,560 --> 00:46:35,320 Speaker 11: next generation Gouty three, which will be our twenty twenty 964 00:46:35,400 --> 00:46:37,960 Speaker 11: four product, and then we have our twenty five and 965 00:46:38,040 --> 00:46:40,800 Speaker 11: twenty six products underway. So you know, we're seeing a 966 00:46:40,880 --> 00:46:43,360 Speaker 11: lot of momentum there and the world is looking for 967 00:46:43,560 --> 00:46:48,560 Speaker 11: a great alternative, an open alternative, a more cost effective alternative, 968 00:46:48,719 --> 00:46:51,600 Speaker 11: and Intel is a trusted supplier. We think this is 969 00:46:51,680 --> 00:46:54,080 Speaker 11: a great area for us to put a lot of 970 00:46:54,239 --> 00:46:57,200 Speaker 11: energy into and we're seeing the response from the marketplace now. 971 00:46:58,480 --> 00:47:01,560 Speaker 10: Intel CEO Pat Gelis, you know, we appreciate your time 972 00:47:01,640 --> 00:47:03,560 Speaker 10: here on Bloomberg TV and Radio. Thank you. 973 00:47:03,960 --> 00:47:07,040 Speaker 6: You're listening to the tape. Catch our live program Bloomberg 974 00:47:07,160 --> 00:47:10,680 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 975 00:47:10,800 --> 00:47:14,000 Speaker 6: tune in app, Bloomberg dot Com, and the Bloomberg Business app. 976 00:47:14,080 --> 00:47:16,840 Speaker 6: You can also listen live on Amazon Alexa from our 977 00:47:16,920 --> 00:47:21,280 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 978 00:47:22,280 --> 00:47:24,480 Speaker 2: I want to get to cars right now. 979 00:47:24,600 --> 00:47:25,279 Speaker 1: Oh there, we go. 980 00:47:25,480 --> 00:47:28,120 Speaker 2: I'm so happy to be back on this program and 981 00:47:28,160 --> 00:47:30,440 Speaker 2: talk about the car industry. I've been covering it for 982 00:47:31,080 --> 00:47:33,320 Speaker 2: twenty years now and as a result, as you know, 983 00:47:33,520 --> 00:47:36,920 Speaker 2: manufacturers often give me vehicles to test out. It's the 984 00:47:37,000 --> 00:47:39,560 Speaker 2: best part of the job. This week, I am driving 985 00:47:39,640 --> 00:47:44,480 Speaker 2: the Alfa Romeo Tanali, which is a subcompact suv. It's 986 00:47:44,520 --> 00:47:48,120 Speaker 2: a very crowded segment, but this one is electrified. It's 987 00:47:48,160 --> 00:47:51,280 Speaker 2: got a hybrid drive train. It has a very tiny 988 00:47:51,360 --> 00:47:55,040 Speaker 2: gas motor one point three leader four cylinder motor driving 989 00:47:55,040 --> 00:47:57,600 Speaker 2: the front wheels, electric motor driving the back, and it 990 00:47:57,640 --> 00:47:59,840 Speaker 2: can do more than thirty miles of rain on the 991 00:48:00,120 --> 00:48:03,520 Speaker 2: battery by itself, so it's a very interesting vehicle. Also 992 00:48:03,680 --> 00:48:08,160 Speaker 2: joining us to talk about Alfa Romeo stilantis As, which 993 00:48:08,200 --> 00:48:10,040 Speaker 2: is the owner as well as the broader car industry, 994 00:48:10,120 --> 00:48:11,640 Speaker 2: is one of the few people who has driven more 995 00:48:11,719 --> 00:48:14,719 Speaker 2: cars than me. Bloomberg Pursuits. Hannah Elliott joins us from 996 00:48:15,040 --> 00:48:17,720 Speaker 2: Los Angeles and I'm really glad hen I've been chasing 997 00:48:17,800 --> 00:48:20,160 Speaker 2: after you for weeks to get you on the show. 998 00:48:20,360 --> 00:48:22,439 Speaker 2: Thanks so much for joining us. What do you think, 999 00:48:22,520 --> 00:48:25,960 Speaker 2: as you know, someone who is a huge car enthusiast, 1000 00:48:26,000 --> 00:48:28,200 Speaker 2: someone who loves older cars as well as newer cars. 1001 00:48:28,239 --> 00:48:32,120 Speaker 2: About the Alfa Romeo brand, the Alpromeo story, I mean. 1002 00:48:32,320 --> 00:48:34,799 Speaker 12: First of all, thanks for keeping on the chase. I'm 1003 00:48:34,840 --> 00:48:37,359 Speaker 12: so happy to be here with you, Matt. Second of all, 1004 00:48:37,680 --> 00:48:41,000 Speaker 12: what's not to love? This is one hundred plus year 1005 00:48:41,080 --> 00:48:44,400 Speaker 12: old brand with real racing history. It was history, it 1006 00:48:44,440 --> 00:48:47,480 Speaker 12: was winning the Targa Florio in the early nineteen twenties. 1007 00:48:47,840 --> 00:48:51,080 Speaker 12: Of course we have you know, famous Alpha Romeo movie 1008 00:48:51,160 --> 00:48:53,680 Speaker 12: cars like the Little Spider and the Graduate. Of course 1009 00:48:53,800 --> 00:48:57,200 Speaker 12: everyone knows and loves It's got real history, it's Italian. 1010 00:48:57,239 --> 00:49:02,080 Speaker 12: Who doesn't love Italians? And it's it's owned by the 1011 00:49:02,360 --> 00:49:05,840 Speaker 12: largest carbrand in the fourth largest sorry Carbred in the world, Stilantis. 1012 00:49:05,880 --> 00:49:08,000 Speaker 12: Like you said, there's a lot going for I actually 1013 00:49:08,320 --> 00:49:10,799 Speaker 12: like how even the modern cars look. I think they 1014 00:49:10,880 --> 00:49:15,239 Speaker 12: look distinctive, they look interesting, and they're pretty well built. 1015 00:49:15,280 --> 00:49:18,319 Speaker 12: They've got some great specs. They're competitive within the market share. 1016 00:49:18,800 --> 00:49:22,600 Speaker 12: But my caveat is, for whatever reason, Alpha Romeo has 1017 00:49:22,680 --> 00:49:26,320 Speaker 12: really struggled to gain real momentum and real ground. 1018 00:49:26,400 --> 00:49:30,880 Speaker 2: It's very true. I looked at the stats and last 1019 00:49:31,000 --> 00:49:35,120 Speaker 2: year Alfa Romeo sold twelve eight hundred and forty five cars, 1020 00:49:35,600 --> 00:49:38,600 Speaker 2: which is very little, right. BMW sold more than three 1021 00:49:38,680 --> 00:49:42,640 Speaker 2: hundred thirty thousand, Mercedes sold more than three hundred forty thousand. 1022 00:49:42,960 --> 00:49:46,600 Speaker 2: Teslas sold almost half a million cars last year in 1023 00:49:46,920 --> 00:49:52,080 Speaker 2: the US market. So my question is, why doesn't Carlos Tavars, 1024 00:49:52,120 --> 00:49:55,000 Speaker 2: why doesn't Stilantis and this is sixty billion dollar company 1025 00:49:55,080 --> 00:49:58,000 Speaker 2: invest more in this brand. Listen to what Tavares told 1026 00:49:58,080 --> 00:50:01,720 Speaker 2: us on Wednesday, off. 1027 00:50:01,640 --> 00:50:05,680 Speaker 13: Roll maybe is a big success since Stanatius was created. 1028 00:50:05,760 --> 00:50:09,319 Speaker 13: We made a huge turnaround of the business model. It's 1029 00:50:09,400 --> 00:50:13,160 Speaker 13: now a highly profitable brand. It's a growing brand, sixty 1030 00:50:13,200 --> 00:50:17,279 Speaker 13: per volume growth on the H one twenty twenty three 1031 00:50:17,360 --> 00:50:20,640 Speaker 13: compared to last year, so it's growing. It's highly profitable. 1032 00:50:20,960 --> 00:50:23,600 Speaker 13: We have turnaround, We are happy to be in Formula one, 1033 00:50:24,120 --> 00:50:28,279 Speaker 13: and we are going to increase our presence in the US, 1034 00:50:28,960 --> 00:50:30,160 Speaker 13: including at one pointeen ten. 1035 00:50:31,360 --> 00:50:34,080 Speaker 2: So it's interesting that they're getting back into raising Hannah, 1036 00:50:34,080 --> 00:50:36,880 Speaker 2: And I'm sure that's key for an enthusiast like you, 1037 00:50:37,360 --> 00:50:40,480 Speaker 2: But the problem for me is not only well, this 1038 00:50:40,760 --> 00:50:42,799 Speaker 2: car that I was test driving is front wheel drive, 1039 00:50:42,880 --> 00:50:44,920 Speaker 2: which is already like forget about. 1040 00:50:44,719 --> 00:50:45,040 Speaker 6: It for me. 1041 00:50:45,520 --> 00:50:47,560 Speaker 2: Yeah, and I mean, that's just not my thing. But 1042 00:50:47,719 --> 00:50:50,400 Speaker 2: for some people it's a great vehicle because it has 1043 00:50:50,719 --> 00:50:53,359 Speaker 2: its good in the snow, good electric range it has 1044 00:50:53,440 --> 00:50:55,759 Speaker 2: I guess it's okay in the snow, and you could 1045 00:50:55,760 --> 00:50:58,760 Speaker 2: also take longer trips with the motor. But my problem 1046 00:50:58,840 --> 00:51:01,240 Speaker 2: is it breaks down so much much. In JD Power's 1047 00:51:01,280 --> 00:51:05,680 Speaker 2: initial quality survey, they showed two hundred and four issues 1048 00:51:05,719 --> 00:51:08,120 Speaker 2: per hundred vehicles, and that's only the first three months. 1049 00:51:08,440 --> 00:51:11,000 Speaker 2: So in the first three months, every owner essentially has 1050 00:51:11,040 --> 00:51:14,839 Speaker 2: more than two mechanical problems. That's something that they. 1051 00:51:14,760 --> 00:51:15,239 Speaker 6: Have to fix. 1052 00:51:16,000 --> 00:51:20,880 Speaker 12: That's just completely untenable. And unfortunately in the US especially, 1053 00:51:21,080 --> 00:51:25,040 Speaker 12: that has been the existing reputation for Alfa Romeo so 1054 00:51:25,239 --> 00:51:27,800 Speaker 12: much so that it's kind of a joke, even for 1055 00:51:27,960 --> 00:51:30,320 Speaker 12: people who really love the brand and who collect the 1056 00:51:30,360 --> 00:51:32,320 Speaker 12: old cars and who want to buy the new cars. 1057 00:51:32,840 --> 00:51:35,400 Speaker 12: That is just the sticky reputation that they have. And 1058 00:51:35,480 --> 00:51:37,800 Speaker 12: you know, of course, of ours is saying they're pumping 1059 00:51:37,880 --> 00:51:40,000 Speaker 12: money into it and it's successful, but he's talking on 1060 00:51:40,080 --> 00:51:43,560 Speaker 12: a global level. In the US, Alfa Romeo has had 1061 00:51:43,600 --> 00:51:46,360 Speaker 12: a very spotty history history. Let's not forget they were 1062 00:51:46,480 --> 00:51:49,840 Speaker 12: dormant and didn't sell any cars here for several decades. 1063 00:51:50,360 --> 00:51:53,120 Speaker 12: In twenty sixteen, they sold less than fewer than six 1064 00:51:53,440 --> 00:51:56,120 Speaker 12: six hundred cars for the full year in the US. 1065 00:51:56,960 --> 00:51:59,919 Speaker 12: These twelve thousand that they've sold last year were down 1066 00:52:00,400 --> 00:52:02,840 Speaker 12: from the previous year, and this year on they're on 1067 00:52:03,000 --> 00:52:05,880 Speaker 12: track to sell even fewer. There's probably gonna sell around 1068 00:52:05,920 --> 00:52:10,400 Speaker 12: ten thousand. So in the US specifically, you're right. You know, 1069 00:52:10,600 --> 00:52:12,839 Speaker 12: when you think about Alpha Romeo being in the same 1070 00:52:12,960 --> 00:52:18,120 Speaker 12: competitive set as Audi, BMW, Mercedes, even Bolvo, even Jaguar, 1071 00:52:19,400 --> 00:52:22,120 Speaker 12: there's there are a lot of options, so when you're 1072 00:52:22,160 --> 00:52:24,960 Speaker 12: having reliability problems, it's an automatic no go. 1073 00:52:25,680 --> 00:52:30,279 Speaker 2: It's too bad because the Julia and the Stelvio apparently 1074 00:52:30,560 --> 00:52:34,239 Speaker 2: are amazing performance cars, but if they break down, you know, 1075 00:52:34,400 --> 00:52:38,560 Speaker 2: that's that's kind of a deal breaker. Also, you know, Hannah, 1076 00:52:38,640 --> 00:52:40,719 Speaker 2: I was joking with you and you pointed out that 1077 00:52:40,800 --> 00:52:43,280 Speaker 2: everybody made the same joke about the new Ferrari suv. 1078 00:52:43,360 --> 00:52:45,960 Speaker 2: It kind of looks like a maz To Suv. This 1079 00:52:46,239 --> 00:52:49,600 Speaker 2: Alpha Romeo Tonale that I was test driving looks exactly 1080 00:52:49,840 --> 00:52:52,440 Speaker 2: like the Dodge Hornet. I think we might have video 1081 00:52:52,520 --> 00:52:55,360 Speaker 2: of the Dodge Hornet. The reason is that they're essentially 1082 00:52:55,440 --> 00:52:58,279 Speaker 2: the same car. Dodge saw that Alpha was making this, 1083 00:52:58,520 --> 00:53:01,279 Speaker 2: they wanted an entry into the sub compact market, so 1084 00:53:01,400 --> 00:53:04,400 Speaker 2: they just stole it being a sister brand and changed 1085 00:53:04,440 --> 00:53:06,839 Speaker 2: like a couple pieces of sheet metal. But it's ten 1086 00:53:06,920 --> 00:53:09,439 Speaker 2: thousand dollars less, and I can't imagine why anybody would 1087 00:53:09,440 --> 00:53:12,279 Speaker 2: want to pay more for the Alpha when you could 1088 00:53:12,320 --> 00:53:16,080 Speaker 2: get the same car as a Dodge for so much cheaper. 1089 00:53:17,040 --> 00:53:19,600 Speaker 12: Okay, this is where we may disagree, and in a 1090 00:53:19,680 --> 00:53:23,719 Speaker 12: good way, because I feel like you really understand, like 1091 00:53:24,120 --> 00:53:28,200 Speaker 12: the paper the paperwork says the Dodge is the better buy. 1092 00:53:28,600 --> 00:53:31,320 Speaker 12: But I still am a little bit shallow, and I 1093 00:53:31,560 --> 00:53:35,480 Speaker 12: like this sort of Italian cachet that Alpha Romeo has, 1094 00:53:35,600 --> 00:53:37,919 Speaker 12: even though all the things we already know about Alpha Romeo. 1095 00:53:38,320 --> 00:53:41,520 Speaker 12: To me, it does at least have this sort of 1096 00:53:41,760 --> 00:53:47,160 Speaker 12: Italian luxury cachet. So I'm going to still probably go 1097 00:53:47,280 --> 00:53:49,839 Speaker 12: with the Alpha Mao over the Dodge. I also think 1098 00:53:49,880 --> 00:53:52,440 Speaker 12: the interior of the Alpha Romeo looks a little more 1099 00:53:52,520 --> 00:53:55,239 Speaker 12: interesting than the interior of the Hornet. Tell me if 1100 00:53:55,239 --> 00:53:56,879 Speaker 12: I'm wrong, but that's my take. 1101 00:53:57,040 --> 00:53:58,759 Speaker 2: I think you're You're probably right. 1102 00:53:58,840 --> 00:53:59,200 Speaker 1: By the way. 1103 00:53:59,200 --> 00:54:01,320 Speaker 2: The good news is I went on a call it 1104 00:54:01,440 --> 00:54:03,120 Speaker 2: was way too early for you. But this morning at 1105 00:54:03,160 --> 00:54:06,040 Speaker 2: six thirty am, Maserati Ceo da Vido Grosso had a 1106 00:54:06,400 --> 00:54:10,000 Speaker 2: conference call and he said they have poured money into 1107 00:54:10,400 --> 00:54:12,719 Speaker 2: the quality issues to try and fix. Obviously it's a 1108 00:54:12,800 --> 00:54:15,319 Speaker 2: very different brand and a different segment, but they're still 1109 00:54:15,640 --> 00:54:17,520 Speaker 2: both owned by Stalantis. Said they're going to try and 1110 00:54:17,560 --> 00:54:19,560 Speaker 2: fix the quality issues there and they made great headway. 1111 00:54:20,920 --> 00:54:22,640 Speaker 12: I mean, I'm glad to hear it. I do think 1112 00:54:22,760 --> 00:54:27,120 Speaker 12: perception lags behind reality, so maybe a few years before 1113 00:54:27,200 --> 00:54:31,520 Speaker 12: the public consumers pick up on this improvement. And I 1114 00:54:31,680 --> 00:54:36,200 Speaker 12: do think, you know, Alfa Romeo hasn't been marketed strongly 1115 00:54:36,280 --> 00:54:38,760 Speaker 12: in the US the same way that Audi's are marketed, 1116 00:54:39,040 --> 00:54:40,920 Speaker 12: so some of it could just you know, if they 1117 00:54:41,160 --> 00:54:43,960 Speaker 12: keep throwing money at it, we may be we may 1118 00:54:44,040 --> 00:54:44,840 Speaker 12: see some growth. 1119 00:54:44,920 --> 00:54:45,319 Speaker 5: Who knows. 1120 00:54:45,400 --> 00:54:47,439 Speaker 1: All right, Hanna, thanks so much for joining us. Hanna Elliot, 1121 00:54:47,480 --> 00:54:50,200 Speaker 1: staff writer for Bloomberg BusinessWeek from Los Angeles, talking to us. 1122 00:54:50,280 --> 00:54:51,840 Speaker 1: We card talk right there. Why not? 1123 00:54:52,239 --> 00:54:55,279 Speaker 2: Thanks for listening to the Bloomberg Markets podcast. You can 1124 00:54:55,360 --> 00:54:59,080 Speaker 2: subscribe and listen to interviews at Apple Podcasts or whatever 1125 00:54:59,200 --> 00:55:02,400 Speaker 2: podcast platf form you prefer. I'm Matt Miller, I'm on 1126 00:55:02,520 --> 00:55:06,360 Speaker 2: Twitter at Matt Miller nineteen seventy three, and I'm Paul Sweeney. 1127 00:55:06,400 --> 00:55:09,000 Speaker 1: I'm on Twitter at pt Sweeney. Before the podcast, you 1128 00:55:09,080 --> 00:55:11,439 Speaker 1: can always catch us worldwide at Bloomberg Radio