1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,920 Speaker 1: Eastern on Apple, Coarclay, and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,120 Speaker 1: or watch us live on YouTube. 6 00:00:24,200 --> 00:00:28,200 Speaker 2: Looking at Deer, they reported numbers guidance a little bit 7 00:00:28,200 --> 00:00:30,720 Speaker 2: weaker than expected, but it's still up about eleven twelve 8 00:00:30,760 --> 00:00:35,280 Speaker 2: percent year to dates. Checking Chris Chiolino Bloomberg Intelligence, he 9 00:00:35,320 --> 00:00:38,120 Speaker 2: covers all the big machinery companies. Chris, what's the takeaway 10 00:00:38,159 --> 00:00:42,000 Speaker 2: from from Deer today? They called out the US farmers 11 00:00:42,159 --> 00:00:45,559 Speaker 2: facing some economic challenges here that guess that's impacting their businesses? 12 00:00:45,720 --> 00:00:46,280 Speaker 2: Would you learn? 13 00:00:47,200 --> 00:00:50,320 Speaker 3: Yeah, listen, I mean this really wasn't a particularly great quarter. 14 00:00:50,880 --> 00:00:54,160 Speaker 3: Three key results were mixed at best. It was really 15 00:00:54,360 --> 00:00:57,880 Speaker 3: a low quality earnings beat, primarily driven by a lower 16 00:00:57,920 --> 00:01:00,240 Speaker 3: tax rate. And as you alluded to, they did cut 17 00:01:00,320 --> 00:01:03,480 Speaker 3: their twenty to twenty five guidance. But to be honest, 18 00:01:03,520 --> 00:01:06,400 Speaker 3: I don't think that really changes the investment thesis here. 19 00:01:06,760 --> 00:01:09,120 Speaker 3: You know, we still expect earnings to bottom this year. 20 00:01:09,400 --> 00:01:12,160 Speaker 3: We're still looking at a very you know, gradual recovery. 21 00:01:12,160 --> 00:01:15,400 Speaker 3: As twenty twenty six unfolds, the reduction in the outlook 22 00:01:15,440 --> 00:01:18,920 Speaker 3: was really driven by weakness in their construction business, and 23 00:01:18,959 --> 00:01:20,520 Speaker 3: it appears to us that it was really more of 24 00:01:20,560 --> 00:01:23,399 Speaker 3: a function of some of the higher tariffs and costs 25 00:01:23,480 --> 00:01:26,480 Speaker 3: coming through. We knew that construction forestry was really going 26 00:01:26,520 --> 00:01:28,800 Speaker 3: to bear the brunt of the tariff impact, but this 27 00:01:28,880 --> 00:01:30,640 Speaker 3: court just came in, you know, a little bit more 28 00:01:30,680 --> 00:01:33,560 Speaker 3: of a headwind than we anticipated. It doesn't appear to 29 00:01:33,560 --> 00:01:35,360 Speaker 3: be that there's been much of a change in terms 30 00:01:35,400 --> 00:01:38,360 Speaker 3: of you know, farm fundamentals and their appetite to go 31 00:01:38,360 --> 00:01:39,280 Speaker 3: out and buy equipment. 32 00:01:39,520 --> 00:01:42,040 Speaker 4: Hey, Chrich, can you get more into the struggle that 33 00:01:42,040 --> 00:01:44,560 Speaker 4: that farmers are facing. That's that's impacting dear. 34 00:01:46,160 --> 00:01:48,680 Speaker 3: Sure, you know, we've been in this kind of prolonged 35 00:01:48,720 --> 00:01:52,440 Speaker 3: downturn in the ag economy. Crop prices continued to deteriorate, 36 00:01:53,000 --> 00:01:56,080 Speaker 3: farm fundamentals remain weak, interest rates remain high. We have 37 00:01:56,200 --> 00:01:58,720 Speaker 3: the you know, the overhanger, the uncertainty around the trade 38 00:01:58,800 --> 00:02:02,800 Speaker 3: environment and export market access. Really there's really no signs 39 00:02:02,880 --> 00:02:05,080 Speaker 3: or i would you know, say, green shoots yet that 40 00:02:05,120 --> 00:02:08,560 Speaker 3: we're at this inflection point. I think the positive takeaway 41 00:02:08,680 --> 00:02:12,480 Speaker 3: is that you know, inventories are coming down, Deer's not 42 00:02:12,520 --> 00:02:15,120 Speaker 3: going to have to massively underproduce retail demand next year. 43 00:02:15,160 --> 00:02:17,320 Speaker 3: So even if we're looking at a flatish type of 44 00:02:17,400 --> 00:02:21,480 Speaker 3: environment in terms of underlying retail demand, we're still looking 45 00:02:21,480 --> 00:02:24,720 Speaker 3: at probably higher production and some pricing coming through, which 46 00:02:24,720 --> 00:02:27,160 Speaker 3: should still generate some operating leverage in the business. 47 00:02:28,080 --> 00:02:32,920 Speaker 2: So, Chris, when demand is down from for their core 48 00:02:33,000 --> 00:02:35,320 Speaker 2: farm equipment, what does Deer typically do? Do they let 49 00:02:35,360 --> 00:02:38,560 Speaker 2: inventories build, do they get promotional to move inventory out 50 00:02:38,600 --> 00:02:40,160 Speaker 2: the door? How did they usually manage that? 51 00:02:41,320 --> 00:02:43,840 Speaker 3: Yeah, so this is it's a delicate balancing act, right, 52 00:02:43,880 --> 00:02:47,799 Speaker 3: I mean, it's almost impossible to time the cycle. And 53 00:02:47,919 --> 00:02:50,000 Speaker 3: what they've been doing, you know, for the better part 54 00:02:50,040 --> 00:02:51,720 Speaker 3: of this year, and even at the end of last 55 00:02:51,800 --> 00:02:54,959 Speaker 3: year they had been underproducing retail demand to bring down 56 00:02:55,000 --> 00:02:58,560 Speaker 3: those elevated inventories. They've done really a commendable job on 57 00:02:58,639 --> 00:03:01,760 Speaker 3: new equipment. Issue right now is still on the used 58 00:03:01,760 --> 00:03:05,680 Speaker 3: equipment inventory side, particularly on tractors, which are still quite elevated. 59 00:03:06,240 --> 00:03:09,760 Speaker 3: And you're right, they are allocating more merchandising programs and 60 00:03:09,800 --> 00:03:13,200 Speaker 3: pool funds to help address that issue and move the equipment. 61 00:03:13,520 --> 00:03:15,720 Speaker 3: And I think you see that partly reflected in their 62 00:03:15,960 --> 00:03:19,800 Speaker 3: production precision agg business this quarter, and pricing actually flip negative, 63 00:03:19,800 --> 00:03:22,560 Speaker 3: which was a surprise to us. It does appear that 64 00:03:22,639 --> 00:03:25,880 Speaker 3: this is you know, relatively transitory. We should expect pricing 65 00:03:25,919 --> 00:03:29,080 Speaker 3: to bounce back next quarter. But yeah, it's been a 66 00:03:29,200 --> 00:03:31,480 Speaker 3: you know, they've done a real good job of managing inventories. 67 00:03:31,520 --> 00:03:33,359 Speaker 3: It's just you know, when you're slogging along through the 68 00:03:33,639 --> 00:03:37,120 Speaker 3: bottom of the cycle here, it does become quite challenging. 69 00:03:37,280 --> 00:03:38,640 Speaker 4: So then I got to follo up, are you still 70 00:03:38,640 --> 00:03:40,960 Speaker 4: cautious about the pace of their recovery? 71 00:03:42,280 --> 00:03:45,920 Speaker 3: Yes, you know, I would say signs of recovery are 72 00:03:45,960 --> 00:03:48,400 Speaker 3: still you know, pretty elusive to us. And if you 73 00:03:48,520 --> 00:03:50,160 Speaker 3: just look over the last couple of months, you know, 74 00:03:50,240 --> 00:03:53,120 Speaker 3: you continue to see further downward pressure on crop prices, 75 00:03:53,160 --> 00:03:54,400 Speaker 3: which at the end of the day is one of 76 00:03:54,400 --> 00:03:58,000 Speaker 3: the bigger drivers of deer's business and farmer cash receipts. 77 00:03:58,400 --> 00:04:00,920 Speaker 3: We had a pretty ugly Wady report this week. You know, 78 00:04:01,000 --> 00:04:02,720 Speaker 3: it looks like we're going to get another year of 79 00:04:02,760 --> 00:04:07,880 Speaker 3: record corn production, so those stockpiles continue to build, which 80 00:04:07,920 --> 00:04:09,360 Speaker 3: is really going to keep you know, somewhat of a 81 00:04:09,440 --> 00:04:11,920 Speaker 3: stealing on crop prices here in the near term. So 82 00:04:11,960 --> 00:04:14,640 Speaker 3: we think this recovery is going to look much more 83 00:04:14,680 --> 00:04:17,520 Speaker 3: modest or subdued than what we typically see during a 84 00:04:17,560 --> 00:04:20,760 Speaker 3: normal cycle. Right now, we're still anticipating you know, a 85 00:04:20,960 --> 00:04:23,520 Speaker 3: modest you know, flat to up five percent next year 86 00:04:23,560 --> 00:04:26,960 Speaker 3: in terms of underlying retail demand for lar Jag, particularly 87 00:04:27,000 --> 00:04:27,799 Speaker 3: in North America. 88 00:04:28,640 --> 00:04:31,800 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 89 00:04:33,960 --> 00:04:37,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 90 00:04:37,720 --> 00:04:41,119 Speaker 1: weekdays at ten am Eastern on Applecarclay, and Android Auto 91 00:04:41,240 --> 00:04:44,279 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 92 00:04:44,320 --> 00:04:47,760 Speaker 1: get your podcasts, or watch us live on YouTube. 93 00:04:48,680 --> 00:04:51,400 Speaker 4: Let's go to earnings. We want to talk about Cisco Systems. 94 00:04:51,680 --> 00:04:54,039 Speaker 4: So you had sales from its AI projects, right they're 95 00:04:54,080 --> 00:04:56,720 Speaker 4: beginning to pick up. But the problem was that it's 96 00:04:56,760 --> 00:04:59,039 Speaker 4: forecast for the current fiscal year. Well it was a 97 00:04:59,040 --> 00:05:02,200 Speaker 4: little bit on the concern side, and that didn't Investors 98 00:05:02,240 --> 00:05:04,440 Speaker 4: didn't like that very much. Let's find out why. So 99 00:05:04,520 --> 00:05:08,440 Speaker 4: let's go to wou Jinhoi's Bloomberg Intelligence. Senior technology analysts 100 00:05:08,480 --> 00:05:11,200 Speaker 4: joining us from Princeton. Wujin, thanks for joining us. I 101 00:05:11,240 --> 00:05:12,760 Speaker 4: got to ask you right after the bad What did 102 00:05:12,800 --> 00:05:15,480 Speaker 4: investors did? They just think that they should be benefiting 103 00:05:15,520 --> 00:05:17,800 Speaker 4: more from AI spending? What was the issue? 104 00:05:18,560 --> 00:05:22,040 Speaker 5: Yeah, I think a couple of things. AI wasn't one 105 00:05:22,040 --> 00:05:24,760 Speaker 5: of them. But also there's a big product refresh cycle 106 00:05:25,279 --> 00:05:28,279 Speaker 5: that investors were hoping would drive better growth. But at 107 00:05:28,320 --> 00:05:31,159 Speaker 5: the end of the day, the guidance was a reminder 108 00:05:31,200 --> 00:05:34,800 Speaker 5: that they are still tied to IT spending. And you know, 109 00:05:35,160 --> 00:05:38,120 Speaker 5: I viewed it as more as prudent conservatism because they 110 00:05:38,120 --> 00:05:39,719 Speaker 5: don't know what's happening on the second half. 111 00:05:39,600 --> 00:05:39,960 Speaker 2: Of the year. 112 00:05:40,760 --> 00:05:44,240 Speaker 5: Given where we are, you know, we have little visibility 113 00:05:44,240 --> 00:05:49,040 Speaker 5: in terms of rates as well as tire Still. 114 00:05:47,480 --> 00:05:50,320 Speaker 2: So the company recognized about one billion dollars in AI 115 00:05:50,400 --> 00:05:54,159 Speaker 2: revenue on fiscal twenty twenty five, and I guess AI 116 00:05:54,200 --> 00:05:57,600 Speaker 2: infrastructure orders for large from large cloud of providers whoever 117 00:05:57,680 --> 00:06:00,080 Speaker 2: eight hundred million in the quarter. So where do you 118 00:06:00,160 --> 00:06:01,039 Speaker 2: think these numbers can go? 119 00:06:02,320 --> 00:06:07,160 Speaker 5: Yeah? Look, Paul, they forecasted a billion dollars in orders 120 00:06:07,160 --> 00:06:10,359 Speaker 5: for fiscal twenty five. They double that if fiscal twenty 121 00:06:10,400 --> 00:06:13,840 Speaker 5: six recognize the billion of it this year, I wouldn't 122 00:06:13,880 --> 00:06:17,760 Speaker 5: be surprised if AI revenues grow at least another fifty 123 00:06:17,800 --> 00:06:22,320 Speaker 5: percent from here, and they're penetrating multiple pockets right not 124 00:06:22,360 --> 00:06:24,159 Speaker 5: only into the cloud. But if you think about a 125 00:06:24,200 --> 00:06:28,200 Speaker 5: longer term, when enterprise adoption really starts kicking in, there 126 00:06:28,279 --> 00:06:29,400 Speaker 5: is going to be a growth driver. 127 00:06:29,520 --> 00:06:31,160 Speaker 1: So we have to. 128 00:06:31,080 --> 00:06:34,360 Speaker 5: See where it'll be in twenty six and twenty seven 129 00:06:34,440 --> 00:06:36,919 Speaker 5: when enterprise grows. But the partnership with then video should 130 00:06:36,920 --> 00:06:38,839 Speaker 5: be beneficial to the longer term. 131 00:06:38,960 --> 00:06:42,360 Speaker 4: What AI sector? Is it just to competitive? I mean, 132 00:06:42,400 --> 00:06:45,000 Speaker 4: who are some of their peers, how are they doing 133 00:06:45,040 --> 00:06:45,760 Speaker 4: against them? 134 00:06:46,240 --> 00:06:49,240 Speaker 5: Well, if we think about it, well, they have multiple 135 00:06:49,960 --> 00:06:52,960 Speaker 5: they're in AI in multiple vectors right, So from a 136 00:06:52,960 --> 00:06:57,120 Speaker 5: networking space, Arista is one of the bigger competitors, as 137 00:06:57,160 --> 00:07:01,560 Speaker 5: well as a smaller company called Celestica from They also 138 00:07:01,560 --> 00:07:05,120 Speaker 5: they're also very very big on optical components and they're 139 00:07:05,120 --> 00:07:09,480 Speaker 5: coming up against companies like Marvel as well as Siena. 140 00:07:10,000 --> 00:07:15,240 Speaker 5: And they also provide AI servers and think about Dell 141 00:07:15,360 --> 00:07:20,600 Speaker 5: and HPE. So look, is it competitive, yes, but they're 142 00:07:20,600 --> 00:07:23,240 Speaker 5: one of the few American vendors that can actually supply 143 00:07:24,000 --> 00:07:26,360 Speaker 5: components all the way to the system hardware. 144 00:07:27,240 --> 00:07:30,600 Speaker 2: Oh what what are companies like Cisco and and Dell 145 00:07:30,680 --> 00:07:34,240 Speaker 2: and some other big American companies throughout the tech stack chain. 146 00:07:34,280 --> 00:07:37,560 Speaker 2: What are they saying just about the environment in terms 147 00:07:37,600 --> 00:07:41,600 Speaker 2: of demand from their customers? Are they sensing waning demand 148 00:07:41,760 --> 00:07:44,200 Speaker 2: or wavering demand? Just to see how some of these 149 00:07:44,320 --> 00:07:46,760 Speaker 2: I don't know, TIFFs other economic policies may work out. 150 00:07:47,520 --> 00:07:50,320 Speaker 5: Sure, Paul, you know Cisco is one of the first 151 00:07:50,600 --> 00:07:53,400 Speaker 5: hardware belt wathers that that came out. I will tell 152 00:07:53,400 --> 00:07:56,880 Speaker 5: you from from the numbers that I've seen on the 153 00:07:56,880 --> 00:07:59,880 Speaker 5: companies that have reported, uh, you know, the I spending 154 00:07:59,880 --> 00:08:02,480 Speaker 5: of vironment has actually been more resilient than I had thought. 155 00:08:03,120 --> 00:08:06,440 Speaker 5: I went into the quarter with my mediar outlook as 156 00:08:06,480 --> 00:08:10,320 Speaker 5: being a little bit cautious and negative, and quite frankly, 157 00:08:10,560 --> 00:08:13,040 Speaker 5: the results have come in better than I had anticipated. 158 00:08:13,080 --> 00:08:16,080 Speaker 5: The outlooks have come in better than I anticipated. But 159 00:08:16,160 --> 00:08:17,840 Speaker 5: the fact of the matter is I don't know what's 160 00:08:17,840 --> 00:08:20,160 Speaker 5: going to happen past December, and I think the Cisco's 161 00:08:20,160 --> 00:08:22,600 Speaker 5: guidance reflect that we'll have a better sense in a 162 00:08:22,640 --> 00:08:24,960 Speaker 5: couple of weeks from now. When companies like Dell and 163 00:08:25,200 --> 00:08:28,640 Speaker 5: then HPE after Labor Day when they report. 164 00:08:28,640 --> 00:08:31,360 Speaker 4: Did they talk about their guidance at all about the impacts? 165 00:08:31,360 --> 00:08:34,000 Speaker 4: We mentioned tariff quickly, but did the impact of tariffs. 166 00:08:34,040 --> 00:08:36,440 Speaker 4: If so, like, did they intend to how do they 167 00:08:36,440 --> 00:08:38,240 Speaker 4: intend to lessen that impact from tariffs? 168 00:08:38,880 --> 00:08:42,160 Speaker 5: You know, you know, Cisco has been probably one of 169 00:08:42,160 --> 00:08:46,800 Speaker 5: the better companies in terms of managing expectations of tariffs 170 00:08:47,120 --> 00:08:50,520 Speaker 5: as well as maneuvering the supply chain with the tariff. 171 00:08:50,559 --> 00:08:54,400 Speaker 5: So in terms of managing expectations, they embedded tariff impact 172 00:08:54,440 --> 00:08:57,000 Speaker 5: in their guidance. And because tariffs came in a little 173 00:08:57,000 --> 00:09:00,560 Speaker 5: bit lower than we had anticipated, that actually helped the 174 00:09:00,640 --> 00:09:05,520 Speaker 5: EPs just a little bit going forward. You know, all 175 00:09:05,600 --> 00:09:09,520 Speaker 5: of the guidance includes the tariff impact. Now, the one 176 00:09:09,559 --> 00:09:13,719 Speaker 5: thing I will add, we're still waiting for the semiconductive 177 00:09:13,800 --> 00:09:16,120 Speaker 5: rulings as it relates to Section two three to two. 178 00:09:18,320 --> 00:09:20,360 Speaker 5: We'll see where it stands. If we do have a 179 00:09:20,400 --> 00:09:26,200 Speaker 5: negative ruling there, that could not only affect Cisco's guidance 180 00:09:26,200 --> 00:09:28,720 Speaker 5: and margins, but also the rest of the electronics space. 181 00:09:28,960 --> 00:09:31,360 Speaker 2: So I'm looking at the stock would Cisco that is, 182 00:09:31,360 --> 00:09:33,440 Speaker 2: and it's up about eighteen percent year to date, so 183 00:09:33,600 --> 00:09:36,240 Speaker 2: certainly being in the market, and I look at the 184 00:09:36,240 --> 00:09:39,400 Speaker 2: A and R function, I see sixteen buys, ten holds, 185 00:09:39,640 --> 00:09:41,800 Speaker 2: and one sell. So kind of a little bit of 186 00:09:41,840 --> 00:09:44,600 Speaker 2: a split up there on the street. In terms of expectations, 187 00:09:44,640 --> 00:09:47,360 Speaker 2: what do you think the bold cases for Cisco from 188 00:09:47,400 --> 00:09:48,160 Speaker 2: these levels? 189 00:09:48,600 --> 00:09:53,760 Speaker 5: Yeah, the bowl case is fairly easy, Paul. Faster than 190 00:09:53,840 --> 00:09:57,439 Speaker 5: five percent to six percent growth driven by the product 191 00:09:57,480 --> 00:10:03,840 Speaker 5: reforst cycle security as a driver for Cisco, that's going 192 00:10:03,920 --> 00:10:07,040 Speaker 5: to raise multiples. And if it's going to raise multiples, 193 00:10:07,040 --> 00:10:09,280 Speaker 5: it's gonna you have a higher stock from where it 194 00:10:09,320 --> 00:10:09,920 Speaker 5: is today. 195 00:10:10,720 --> 00:10:12,920 Speaker 4: So Chuck Robin, Cisco CEO, is gonna be speaking with 196 00:10:13,200 --> 00:10:16,880 Speaker 4: BTV anchors Ed Ludlow Karen Hide just after eleven o'clock. 197 00:10:16,960 --> 00:10:19,920 Speaker 4: So if you were in that room, what would you ask? 198 00:10:21,320 --> 00:10:25,120 Speaker 5: Yeah, what I would ask is when does a security 199 00:10:25,240 --> 00:10:28,800 Speaker 5: story really start to take hold where it does affect 200 00:10:28,960 --> 00:10:30,040 Speaker 5: the growth positively? 201 00:10:30,400 --> 00:10:30,600 Speaker 2: Right? 202 00:10:31,240 --> 00:10:36,280 Speaker 5: Security offers a faster hardware growth as well as software growth, 203 00:10:36,960 --> 00:10:40,319 Speaker 5: as well as a high margin recurring revenues. So it's 204 00:10:40,360 --> 00:10:42,080 Speaker 5: a security it's turning into security. 205 00:10:42,120 --> 00:10:44,360 Speaker 2: At the end of the day, Stay with us. More 206 00:10:44,400 --> 00:10:46,600 Speaker 2: from Bloomberg Intelligence coming up after this. 207 00:10:48,760 --> 00:10:52,440 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 208 00:10:52,559 --> 00:10:55,920 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 209 00:10:56,040 --> 00:10:59,120 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 210 00:10:59,120 --> 00:11:02,599 Speaker 1: get your podcasts or watch US live on YouTube. 211 00:11:03,320 --> 00:11:05,520 Speaker 4: All right, we shift from the markets to tech, and 212 00:11:05,920 --> 00:11:08,640 Speaker 4: some have suggested that President Trump's novel export arrangement with 213 00:11:08,720 --> 00:11:12,080 Speaker 4: Nvidia AMD paying the US government fifteen percent of revenue 214 00:11:12,080 --> 00:11:14,960 Speaker 4: from some chip sales in China, Well, it could violate 215 00:11:15,080 --> 00:11:18,719 Speaker 4: federal law. And if it did, what would happen? That 216 00:11:18,880 --> 00:11:21,120 Speaker 4: is the question of the latest article on the terminal. 217 00:11:21,160 --> 00:11:23,680 Speaker 4: You have to check it out. Matthew Shuttlin is Bloomberg 218 00:11:23,720 --> 00:11:27,959 Speaker 4: Intelligence media litigation analyst. Matthew first question right off the 219 00:11:28,000 --> 00:11:29,280 Speaker 4: bat is does. 220 00:11:29,080 --> 00:11:32,560 Speaker 6: It Yeah, it does it violate the law? It's an 221 00:11:32,559 --> 00:11:35,000 Speaker 6: interesting question that I don't think people had. 222 00:11:34,800 --> 00:11:35,920 Speaker 2: Thought about for a while. 223 00:11:35,960 --> 00:11:40,280 Speaker 6: But there is this clause in the twenty eighteen Export 224 00:11:40,400 --> 00:11:45,120 Speaker 6: Control Reform Act that says that no fees can be 225 00:11:45,320 --> 00:11:50,800 Speaker 6: charged for the processing of these export control licenses. There's 226 00:11:50,800 --> 00:11:55,680 Speaker 6: also a clause in the US Constitution going way back 227 00:11:56,040 --> 00:12:02,080 Speaker 6: that says that taxes cannot be levy against articles exported 228 00:12:02,480 --> 00:12:05,719 Speaker 6: from US states. You put those two things together and 229 00:12:06,520 --> 00:12:09,679 Speaker 6: you start to see, you know, some serious questions that 230 00:12:09,840 --> 00:12:15,760 Speaker 6: could be raised about whether imposing a fifteen percent effective 231 00:12:15,960 --> 00:12:19,600 Speaker 6: tax on exports is actually legal or not. Now, no 232 00:12:19,679 --> 00:12:23,000 Speaker 6: lawsuits have been filed yet, and there would be some 233 00:12:23,160 --> 00:12:25,760 Speaker 6: hurdles to filing them, But I think there is a 234 00:12:25,880 --> 00:12:28,760 Speaker 6: very plausible legal case that could be made. 235 00:12:29,120 --> 00:12:33,600 Speaker 2: If a lawsuit were to be filed, Who would do it? 236 00:12:33,640 --> 00:12:34,559 Speaker 2: What entity would do that? 237 00:12:35,120 --> 00:12:37,640 Speaker 6: Yeah, so that's a great question. I mean, if you're 238 00:12:37,679 --> 00:12:40,640 Speaker 6: in Nvidia or AMD, I don't think you want to 239 00:12:40,679 --> 00:12:43,320 Speaker 6: run right into court after you negotiated a deal with 240 00:12:43,360 --> 00:12:48,720 Speaker 6: President Trump and challenge it there. And so I think 241 00:12:48,760 --> 00:12:52,080 Speaker 6: you would see a potential lawsuit come from from a 242 00:12:52,160 --> 00:12:56,720 Speaker 6: trade association that's concerned about the potential for this setting 243 00:12:56,720 --> 00:13:02,000 Speaker 6: a precedent that goes forward after these particular deals. You 244 00:13:02,040 --> 00:13:05,800 Speaker 6: could also envision shareholders of the companies who are upset 245 00:13:05,840 --> 00:13:08,679 Speaker 6: about the company agreeing to something that might be inconsistent 246 00:13:08,679 --> 00:13:11,640 Speaker 6: with federal law potentially filing lawsuits as well. 247 00:13:12,040 --> 00:13:14,600 Speaker 4: And I like, we keep saying if this sword happ 248 00:13:14,640 --> 00:13:17,079 Speaker 4: and yes, what would be the timeline for something like this? 249 00:13:17,880 --> 00:13:20,520 Speaker 6: Yeah, so it's hard to say exactly. We don't we 250 00:13:20,880 --> 00:13:24,160 Speaker 6: haven't seen the final agreements here between Nvidia and AMD, 251 00:13:24,280 --> 00:13:26,200 Speaker 6: and just a couple of days ago, the White House 252 00:13:26,200 --> 00:13:29,680 Speaker 6: said that they were the Commerce Department was still exploring 253 00:13:29,720 --> 00:13:33,040 Speaker 6: the legality of how to do this, probably because they're 254 00:13:33,080 --> 00:13:36,640 Speaker 6: looking at this precise statute we're talking about here. So 255 00:13:37,120 --> 00:13:39,599 Speaker 6: timing's very much in flux for all of this, and 256 00:13:40,200 --> 00:13:42,120 Speaker 6: it's going to be a question of whether we see 257 00:13:42,120 --> 00:13:45,599 Speaker 6: this sort of approach going forward. But lawsuits could be 258 00:13:45,640 --> 00:13:48,079 Speaker 6: filed any time. They would be filed in in federal 259 00:13:48,120 --> 00:13:53,000 Speaker 6: district district courts. Probably you would seek injunctions trying to 260 00:13:53,040 --> 00:13:56,280 Speaker 6: stop the imposition of these taxes, and it could be 261 00:13:56,320 --> 00:13:58,400 Speaker 6: litigated up through the court system from there. 262 00:13:58,800 --> 00:14:00,880 Speaker 2: But I mean to be clear, were agreed to by 263 00:14:00,880 --> 00:14:03,720 Speaker 2: the companies and the government. I guess the companies met. 264 00:14:03,960 --> 00:14:06,240 Speaker 2: The companies are just saying, hey, this is just the 265 00:14:06,280 --> 00:14:10,040 Speaker 2: cost to do business in this country with this administration. 266 00:14:10,440 --> 00:14:11,800 Speaker 2: Is that kind of think they were. 267 00:14:11,840 --> 00:14:14,080 Speaker 6: I think that's exactly it, and I think there would 268 00:14:14,080 --> 00:14:17,520 Speaker 6: be hurdles to these companies suing for that reason. I 269 00:14:17,800 --> 00:14:21,640 Speaker 6: suspect these agreements are going to include waivers of their 270 00:14:21,800 --> 00:14:25,680 Speaker 6: particular right to sue. And it's better to access these 271 00:14:25,760 --> 00:14:31,200 Speaker 6: markets than, you know, to not access the markets at all, 272 00:14:31,280 --> 00:14:33,680 Speaker 6: even if it comes at a fifteen percent price tag. 273 00:14:34,560 --> 00:14:36,040 Speaker 2: Now, this whole. 274 00:14:35,880 --> 00:14:38,360 Speaker 4: Deal, it started to fuel some concern that the government 275 00:14:38,400 --> 00:14:41,800 Speaker 4: could charge companies for a range of business activities with 276 00:14:42,040 --> 00:14:45,680 Speaker 4: other countries. I mean, is that a viable concern? And 277 00:14:45,720 --> 00:14:49,000 Speaker 4: then what questions could that bring up in the meantime? 278 00:14:49,440 --> 00:14:51,960 Speaker 6: Yeah, that is really I think the big question here 279 00:14:52,080 --> 00:14:54,560 Speaker 6: is is this a one off or is this how 280 00:14:55,000 --> 00:14:58,200 Speaker 6: how this administration is going to operate for all exports 281 00:14:58,320 --> 00:15:02,040 Speaker 6: going forward? And if it's it's the latter, I think 282 00:15:02,120 --> 00:15:06,080 Speaker 6: that raises much much bigger concerns. Usually you would look 283 00:15:06,120 --> 00:15:09,120 Speaker 6: to Congress to set the standards here, and there is, 284 00:15:09,160 --> 00:15:11,960 Speaker 6: as I said, a statute that says no fees for 285 00:15:12,920 --> 00:15:18,040 Speaker 6: the processing of these export licenses. And so in a 286 00:15:18,080 --> 00:15:21,400 Speaker 6: typical world you would see Congress, you know, explore maybe 287 00:15:21,680 --> 00:15:25,640 Speaker 6: setting the legality of something like this. But right now 288 00:15:25,680 --> 00:15:28,320 Speaker 6: we have a law from seven years ago that may 289 00:15:28,400 --> 00:15:30,120 Speaker 6: or may not be be challenged. 290 00:15:30,760 --> 00:15:33,920 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 291 00:15:36,040 --> 00:15:39,760 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 292 00:15:39,840 --> 00:15:43,200 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 293 00:15:43,320 --> 00:15:46,400 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 294 00:15:46,440 --> 00:15:49,400 Speaker 1: get your podcasts, or watch us live on YouTube. 295 00:15:50,120 --> 00:15:52,280 Speaker 2: Right here's the story my eyes went to immediately this 296 00:15:52,320 --> 00:15:55,560 Speaker 2: morning when I came in US and Canadian banks are 297 00:15:55,600 --> 00:15:58,720 Speaker 2: summoning staffers back to their offices at a faster rate 298 00:15:58,840 --> 00:16:01,720 Speaker 2: than European rivals. That was very interesting, and we've got 299 00:16:01,720 --> 00:16:04,000 Speaker 2: lots of good data in their charts and stuff like that, 300 00:16:04,080 --> 00:16:07,080 Speaker 2: But to me, it just went right to the difference 301 00:16:07,120 --> 00:16:09,800 Speaker 2: between the US and Europe is it relates to banking 302 00:16:09,840 --> 00:16:12,560 Speaker 2: and investment banking, where it just seems like the US 303 00:16:12,680 --> 00:16:15,280 Speaker 2: banks have just dominated. And I know there's a lot 304 00:16:15,280 --> 00:16:17,920 Speaker 2: of reasons why structurally, but this one just feels like 305 00:16:18,200 --> 00:16:20,760 Speaker 2: a part of it. So we want to get right 306 00:16:20,800 --> 00:16:24,080 Speaker 2: into it now. Tom Metcalf, finance editor for Blow News. 307 00:16:24,080 --> 00:16:26,560 Speaker 2: He's in our London office. Tom, what do you guys 308 00:16:26,600 --> 00:16:29,520 Speaker 2: find are are American bankers really coming back more to 309 00:16:29,880 --> 00:16:33,080 Speaker 2: the office more frequently than the Europeans. 310 00:16:33,440 --> 00:16:36,040 Speaker 7: Yeah, it's a very very clear trend actually. So what 311 00:16:36,080 --> 00:16:39,120 Speaker 7: we did went back looked at the biggest fifteen US 312 00:16:39,120 --> 00:16:41,880 Speaker 7: and Canadian banks and then also the biggest fifteen European 313 00:16:42,160 --> 00:16:44,880 Speaker 7: and the split basically simpers flies down to is about 314 00:16:44,880 --> 00:16:47,400 Speaker 7: three days a week in Europe compared to four days 315 00:16:47,400 --> 00:16:49,040 Speaker 7: a week in the US. And of course in the 316 00:16:49,080 --> 00:16:51,360 Speaker 7: US has a lot of very notable examples who are 317 00:16:51,440 --> 00:16:55,600 Speaker 7: back fully to five days, right, the JP Morgan's, the Goldmans. 318 00:16:55,880 --> 00:16:57,680 Speaker 7: So I think it's been a really interesting split, and 319 00:16:57,720 --> 00:16:59,880 Speaker 7: like you say, it's it's kind of part and part 320 00:17:00,080 --> 00:17:03,520 Speaker 7: sort of this divergence really between particularly the US banks 321 00:17:03,520 --> 00:17:05,719 Speaker 7: and europe in that, you know, one of the theories 322 00:17:05,760 --> 00:17:07,680 Speaker 7: going out there's lots of reasons why this is happening, 323 00:17:07,920 --> 00:17:10,160 Speaker 7: but certainly one analyst was saying, you know, one element 324 00:17:10,359 --> 00:17:12,560 Speaker 7: is the fact US banks are just that much more 325 00:17:12,560 --> 00:17:15,040 Speaker 7: profitable and thus they sort of have almost like a 326 00:17:15,040 --> 00:17:18,359 Speaker 7: little bit more leverage over their employees to effectively go no, 327 00:17:18,440 --> 00:17:20,359 Speaker 7: it's going to be our way or the highway, is 328 00:17:20,400 --> 00:17:24,000 Speaker 7: what Mike Mayo told us. But as you say, it's 329 00:17:24,040 --> 00:17:26,640 Speaker 7: one of those stories where you know, I think anecdotally 330 00:17:26,960 --> 00:17:29,199 Speaker 7: that was the kind of clearly the sense, but it 331 00:17:29,240 --> 00:17:31,200 Speaker 7: was quite startling to see it kind of you know, 332 00:17:31,200 --> 00:17:32,960 Speaker 7: when you really dive into the day to go, oh, yes, 333 00:17:33,000 --> 00:17:37,280 Speaker 7: it's really basically almost two different strategies, with broadly speaking, 334 00:17:37,280 --> 00:17:39,679 Speaker 7: the Europeans kind of viewing it as a almost like 335 00:17:39,720 --> 00:17:43,680 Speaker 7: employee retention tool and US banks going we don't care. 336 00:17:43,760 --> 00:17:45,760 Speaker 7: We think the most efficient way to work is in 337 00:17:45,800 --> 00:17:48,000 Speaker 7: the office. You're coming back in, Well, you're. 338 00:17:47,920 --> 00:17:49,600 Speaker 4: Kind of leading to it. I wanted to ask Tom, 339 00:17:50,000 --> 00:17:53,320 Speaker 4: is this a cultural thing? Is this also playing a factor? 340 00:17:54,920 --> 00:17:57,720 Speaker 7: Yeah, and there's obviously no one size fits all, right, 341 00:17:57,760 --> 00:18:01,000 Speaker 7: but like broadly speaking, a little bit more of that, 342 00:18:01,160 --> 00:18:05,280 Speaker 7: you know, go attitude, et cetera, say Goldman, Whereas the 343 00:18:05,320 --> 00:18:08,440 Speaker 7: European banks, you know, structurally there's more retail banks in 344 00:18:08,680 --> 00:18:11,800 Speaker 7: that space, or certainly investment banks. The capital markets is 345 00:18:11,800 --> 00:18:14,919 Speaker 7: a bit smaller part of their business. So certainly a 346 00:18:15,040 --> 00:18:19,240 Speaker 7: bunch of different things flowing through here. And you know what, 347 00:18:19,359 --> 00:18:21,399 Speaker 7: the other interesting thing was the academic research we took 348 00:18:21,440 --> 00:18:24,000 Speaker 7: a look at the same time, is not out there 349 00:18:24,040 --> 00:18:25,720 Speaker 7: going if you bring everyone back to the office, you 350 00:18:26,000 --> 00:18:29,840 Speaker 7: necessarily get better stock market performance or even better financial performance. 351 00:18:29,880 --> 00:18:33,080 Speaker 7: So it's very much I think cultural is probably what's 352 00:18:33,160 --> 00:18:34,920 Speaker 7: drive in this. You know, the tone from the top. 353 00:18:35,400 --> 00:18:37,320 Speaker 7: You know, someone like a Jamie Diamond, probably the most 354 00:18:37,359 --> 00:18:40,200 Speaker 7: outspoken executive on this, very very keen to have everyone 355 00:18:40,200 --> 00:18:42,119 Speaker 7: back in the office. And then on the flip side, 356 00:18:42,200 --> 00:18:45,920 Speaker 7: Bill Winters here, who runs Standard Chartered, he's literally taken 357 00:18:45,960 --> 00:18:48,480 Speaker 7: the opposite tone, so he's just effectively going, look, we 358 00:18:48,560 --> 00:18:50,760 Speaker 7: believe our employees can make the right decision for their 359 00:18:50,800 --> 00:18:54,000 Speaker 7: particular teams, and we will. And you know, standard charters 360 00:18:54,000 --> 00:18:57,080 Speaker 7: are a fascinating example of everyone we spoke to. They 361 00:18:57,119 --> 00:18:59,359 Speaker 7: basically said they don't even have a specific mandate at all. 362 00:18:59,400 --> 00:19:02,520 Speaker 7: They just truly are sort of decentralizing this and just 363 00:19:02,600 --> 00:19:05,240 Speaker 7: telling people that there's no policy, just make sure you 364 00:19:05,320 --> 00:19:06,560 Speaker 7: do what to write for you. 365 00:19:06,880 --> 00:19:10,840 Speaker 2: Wow, that's interesting, and I wonder I'm hearing stories that 366 00:19:11,480 --> 00:19:14,080 Speaker 2: you know, back to work schedules and requirements maybe used 367 00:19:14,119 --> 00:19:17,080 Speaker 2: as a recruiting tool to attract and retain talent. Ie 368 00:19:17,920 --> 00:19:20,240 Speaker 2: City group. I know Jane Fraser, the CEO is there 369 00:19:20,280 --> 00:19:24,560 Speaker 2: is she thinks it's a recruiting tool for City because 370 00:19:24,600 --> 00:19:27,840 Speaker 2: they're only at three day mandate. Are other banks thinking 371 00:19:27,920 --> 00:19:28,400 Speaker 2: that way. 372 00:19:29,440 --> 00:19:31,480 Speaker 7: Yeah, exactly. It goes to like it's not like kind 373 00:19:31,520 --> 00:19:34,280 Speaker 7: of a universal monolith here, Like you go through the 374 00:19:34,400 --> 00:19:36,280 Speaker 7: US banks and there's a bunch of an art in 375 00:19:36,320 --> 00:19:39,600 Speaker 7: and City is probably maybe the most interesting example because 376 00:19:39,640 --> 00:19:41,960 Speaker 7: as you say, it's got that, you know, it's going 377 00:19:42,000 --> 00:19:44,439 Speaker 7: through a big restruction and as part of that, it's 378 00:19:44,480 --> 00:19:47,160 Speaker 7: offering a bit of flexibility to its employees. Some people think, 379 00:19:47,200 --> 00:19:50,160 Speaker 7: because you know, that helps retain talent, who might otherwise, 380 00:19:50,200 --> 00:19:52,200 Speaker 7: you know, look further afield, but they can go, well, look, 381 00:19:52,200 --> 00:19:54,560 Speaker 7: if I'm at city, I get way more flexibility. It 382 00:19:54,560 --> 00:19:56,879 Speaker 7: fits my lifestyle, or it gives me that ability to 383 00:19:56,920 --> 00:20:01,560 Speaker 7: work from most places. So it's really fascinating and I 384 00:20:01,560 --> 00:20:04,159 Speaker 7: think you kind of almost have to go case by case, 385 00:20:05,119 --> 00:20:08,240 Speaker 7: but broadly speaking, still, if you're looking at a US bank, 386 00:20:08,280 --> 00:20:10,560 Speaker 7: you can expect a little bit more strictness around artio. 387 00:20:10,840 --> 00:20:13,119 Speaker 4: Hey, Tom, before you go, is there anything that surprised 388 00:20:13,119 --> 00:20:14,919 Speaker 4: you when you were doing this research where you were like, 389 00:20:15,119 --> 00:20:16,280 Speaker 4: I didn't know that. 390 00:20:16,440 --> 00:20:17,880 Speaker 2: I didn't think that was possible. 391 00:20:19,400 --> 00:20:20,879 Speaker 7: I think the biggest thing was like, how has it 392 00:20:20,880 --> 00:20:22,000 Speaker 7: been five years since? 393 00:20:22,560 --> 00:20:22,760 Speaker 1: You know? 394 00:20:22,840 --> 00:20:24,480 Speaker 7: I was just like, I didn't realize there's been half 395 00:20:24,480 --> 00:20:27,080 Speaker 7: a decade already. And I think, I mean, look, I 396 00:20:27,080 --> 00:20:29,120 Speaker 7: think that's the sense of you know, this is still 397 00:20:29,400 --> 00:20:31,200 Speaker 7: very much a work in progress. And I remember writing 398 00:20:31,200 --> 00:20:33,320 Speaker 7: about it, you know, during the pandemic and beyond, it 399 00:20:33,359 --> 00:20:35,920 Speaker 7: was very much felt to be this kind of big 400 00:20:35,960 --> 00:20:39,240 Speaker 7: philosophical debate about you know, the future of work, and 401 00:20:39,400 --> 00:20:42,720 Speaker 7: you know, I don't think anyone's actually reached a satisfactory argument. 402 00:20:42,760 --> 00:20:45,280 Speaker 7: I think basic answer, Sorry, I think basically banks have 403 00:20:45,640 --> 00:20:47,840 Speaker 7: settled into kind of where you think they would. Of course, 404 00:20:47,840 --> 00:20:49,920 Speaker 7: a JP more than Goldman are basically knowing that was 405 00:20:49,960 --> 00:20:53,640 Speaker 7: all nonsense. Let's come back and you know, I guess 406 00:20:53,680 --> 00:20:55,680 Speaker 7: in some ways, it's just that the firms are living 407 00:20:55,720 --> 00:20:58,919 Speaker 7: up to their stereotypes, right like you know, it's kind 408 00:20:58,920 --> 00:21:00,919 Speaker 7: of a classic. We're in August in Europe. Guess what, 409 00:21:01,000 --> 00:21:02,680 Speaker 7: everyone's working from home and stuff like that. 410 00:21:03,320 --> 00:21:08,040 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 411 00:21:08,200 --> 00:21:11,680 Speaker 1: and anywhere else you get your podcasts. 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