1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:18,560 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business app. 4 00:00:18,640 --> 00:00:21,880 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,960 --> 00:00:23,280 Speaker 1: us live on YouTube. 6 00:00:24,079 --> 00:00:26,320 Speaker 2: I think there's a lot of news in the technology 7 00:00:26,360 --> 00:00:30,040 Speaker 2: side of the business on open ai. Open ai has 8 00:00:30,080 --> 00:00:33,120 Speaker 2: agreed to rent a massive amount of computing power from 9 00:00:33,159 --> 00:00:37,040 Speaker 2: Oracle data centers as part of its Stargate initiative, totally 10 00:00:37,080 --> 00:00:39,159 Speaker 2: about four point five gigawats. I don't know what a 11 00:00:39,159 --> 00:00:41,760 Speaker 2: gigawatt is, but it sounds big of data center power 12 00:00:41,800 --> 00:00:43,480 Speaker 2: in the US. So I have no idea what that means. 13 00:00:44,320 --> 00:00:47,200 Speaker 2: And open ai is not. I mean, Bloomberg ais give 14 00:00:47,240 --> 00:00:48,680 Speaker 2: me some stuff, but I need to go to the 15 00:00:48,680 --> 00:00:52,479 Speaker 2: source on a Ragrana technology analysts for Bloomberg Intelligence on 16 00:00:52,600 --> 00:00:54,160 Speaker 2: a rocket. It seems like we're seeing a lot of 17 00:00:54,200 --> 00:00:57,960 Speaker 2: deals getting inked here in the tech space. This open 18 00:00:58,080 --> 00:01:00,480 Speaker 2: this ai story is still moving along at a rate pace. 19 00:01:00,680 --> 00:01:02,280 Speaker 2: Talk to us about what's going on at Oracle. 20 00:01:03,560 --> 00:01:05,959 Speaker 3: Yeah, so this is something we discussed a few days 21 00:01:06,000 --> 00:01:08,400 Speaker 3: ago when Oracle was up you know, sharply at that point. 22 00:01:08,640 --> 00:01:10,560 Speaker 3: They didn't disclose the name of the client, but that 23 00:01:10,640 --> 00:01:13,280 Speaker 3: seems like, you know, as we said, it is open Ai. 24 00:01:13,480 --> 00:01:15,800 Speaker 3: This is part of the Stargate project that came out 25 00:01:16,160 --> 00:01:18,840 Speaker 3: right after the president gard elected at the beginning of 26 00:01:18,920 --> 00:01:21,399 Speaker 3: January or the middle of the end of jan This 27 00:01:21,440 --> 00:01:23,520 Speaker 3: is a big project. It's going to take several years 28 00:01:23,560 --> 00:01:27,240 Speaker 3: to build out. It's going to be very humongous data 29 00:01:27,240 --> 00:01:30,920 Speaker 3: centers across the country and perhaps even globe where open 30 00:01:30,959 --> 00:01:35,600 Speaker 3: ai is basically buying computing capacity from Oracle with the 31 00:01:35,600 --> 00:01:39,280 Speaker 3: help of SoftBank, you know, funding part of that particular project. 32 00:01:39,480 --> 00:01:41,240 Speaker 4: What is your sense of this deal, because we have 33 00:01:41,319 --> 00:01:44,880 Speaker 4: credit ratings SMP saying that Oracle clouds infrastructure and buildings 34 00:01:44,880 --> 00:01:47,840 Speaker 4: free was training cash flow and that the current spending 35 00:01:47,880 --> 00:01:50,720 Speaker 4: pace is hired and anticipated. Is that also the view 36 00:01:50,800 --> 00:01:51,040 Speaker 4: you have? 37 00:01:52,400 --> 00:01:53,760 Speaker 5: Yeah, it's going to be much higher. 38 00:01:53,800 --> 00:01:56,080 Speaker 3: In fact, we think the company gave guidance of about 39 00:01:56,080 --> 00:01:57,440 Speaker 3: capex of twenty five billion. 40 00:01:57,960 --> 00:01:59,000 Speaker 5: We think that's going to be low. 41 00:01:59,040 --> 00:02:01,640 Speaker 3: It's going to be you know, north of that over 42 00:02:01,680 --> 00:02:03,520 Speaker 3: the long term, I mean over the next three to 43 00:02:03,560 --> 00:02:06,360 Speaker 3: five years. Remember, just a few years ago they were generated, 44 00:02:06,440 --> 00:02:09,000 Speaker 3: they were only spending about five six billion dollars a year. 45 00:02:09,320 --> 00:02:11,760 Speaker 3: But frankly speaking, if you really want to play in 46 00:02:11,800 --> 00:02:15,040 Speaker 3: the cloud infrastructure game or AI infrastructure game, you really 47 00:02:15,120 --> 00:02:18,200 Speaker 3: need to spend the money up front in order to 48 00:02:18,240 --> 00:02:21,240 Speaker 3: get those workloads down the road. Microsoft is spending, Amazon 49 00:02:21,320 --> 00:02:23,840 Speaker 3: is spending, and you know, frankly, for Oracles, you know, 50 00:02:24,080 --> 00:02:26,440 Speaker 3: good fortune they actually have a client who's willing to 51 00:02:26,440 --> 00:02:29,560 Speaker 3: pay them ahead of time, or they have an agreement 52 00:02:29,639 --> 00:02:31,280 Speaker 3: so that they can go out and build this data 53 00:02:31,360 --> 00:02:33,639 Speaker 3: center and they can recognize revenue. 54 00:02:33,639 --> 00:02:34,840 Speaker 5: Over the next few years. 55 00:02:35,280 --> 00:02:38,920 Speaker 2: Oracle will develop multiple data centers across the US with partners, 56 00:02:39,280 --> 00:02:43,200 Speaker 2: with sites in several states on consideration, including Texas, Michigan, 57 00:02:43,400 --> 00:02:47,200 Speaker 2: and Wisconsin. Here where does Oracle fit within kind of 58 00:02:47,280 --> 00:02:49,840 Speaker 2: your broader AI theme. 59 00:02:50,240 --> 00:02:53,440 Speaker 5: On a run? Yeah, just about five years ago. 60 00:02:53,480 --> 00:02:55,440 Speaker 3: To be honest, they were pretty much absent in this 61 00:02:55,560 --> 00:02:58,680 Speaker 3: game because their cloud infrastructure was there to take care 62 00:02:58,720 --> 00:03:01,400 Speaker 3: of their clients only, and you know, nobody else was 63 00:03:01,400 --> 00:03:03,720 Speaker 3: renting it from them. I mean there were certain clients, 64 00:03:03,720 --> 00:03:06,320 Speaker 3: but not so big. I think the TikTok deal really made, 65 00:03:06,360 --> 00:03:09,400 Speaker 3: you know, helped them out because TikTok runs on Oracle 66 00:03:09,440 --> 00:03:10,359 Speaker 3: cloud infrastructure. 67 00:03:10,400 --> 00:03:11,720 Speaker 5: They gave them some credibility. 68 00:03:12,520 --> 00:03:14,320 Speaker 3: You know, they've been spending a lot of money to 69 00:03:14,440 --> 00:03:16,040 Speaker 3: expand their data center footprint. 70 00:03:16,560 --> 00:03:17,760 Speaker 5: I think they can afford to do. 71 00:03:17,760 --> 00:03:21,360 Speaker 3: That because they have a very incredible profitable, you know, 72 00:03:21,440 --> 00:03:24,360 Speaker 3: database business where they are the market leaders. They have 73 00:03:24,360 --> 00:03:26,560 Speaker 3: a lot of cloud applications where they generate a lot 74 00:03:26,560 --> 00:03:30,000 Speaker 3: of free cash flow. So they established this business and 75 00:03:30,040 --> 00:03:32,720 Speaker 3: now they're getting the reaping the benefit of it. As 76 00:03:32,720 --> 00:03:36,440 Speaker 3: it relates to let's say AWS, They're still very small 77 00:03:36,440 --> 00:03:40,040 Speaker 3: in size and their infrastructure as a service business. Last 78 00:03:40,120 --> 00:03:42,680 Speaker 3: year day ten billion dollars in revenue as compared to 79 00:03:42,760 --> 00:03:45,600 Speaker 3: let's say Amazon, which is running about one hundred billion 80 00:03:45,720 --> 00:03:48,960 Speaker 3: or so. But this particular customer or this customer and 81 00:03:49,000 --> 00:03:51,800 Speaker 3: a few others by f FY twenty eight will add 82 00:03:51,840 --> 00:03:54,640 Speaker 3: another thirty billion dollars on top of the ten that 83 00:03:54,680 --> 00:03:58,480 Speaker 3: we are talking about. So their cloud business really becomes 84 00:03:58,600 --> 00:04:01,240 Speaker 3: much stronger down the road because of this deal. 85 00:04:01,760 --> 00:04:04,280 Speaker 4: What about Microsoft? Lots of news here too. Their gaming 86 00:04:04,280 --> 00:04:08,040 Speaker 4: division laid off hundreds of employees, and specific to Xbox, 87 00:04:08,320 --> 00:04:10,240 Speaker 4: this is the fourth mass layoff at least in the 88 00:04:10,320 --> 00:04:12,480 Speaker 4: last eighteen months. What is their strategy here? 89 00:04:13,920 --> 00:04:17,000 Speaker 5: The strategy I think is by the CEO saying, listen, 90 00:04:17,880 --> 00:04:18,839 Speaker 5: you use these. 91 00:04:18,640 --> 00:04:21,520 Speaker 3: AI tools, become more productive, and I'm not going to 92 00:04:21,600 --> 00:04:23,880 Speaker 3: hire at the same pace as we used to hire before. 93 00:04:23,920 --> 00:04:26,560 Speaker 5: And I think that is the game now. 94 00:04:26,880 --> 00:04:29,000 Speaker 3: I think this is going to go on and carry 95 00:04:29,040 --> 00:04:31,239 Speaker 3: on to other tech firms, whether it's on the software 96 00:04:31,279 --> 00:04:34,960 Speaker 3: landscape or any of the other subsectors. But I think 97 00:04:34,960 --> 00:04:37,360 Speaker 3: you're going to see this theme recurring over the next 98 00:04:37,360 --> 00:04:41,200 Speaker 3: twelve months where CEO's CEOs are saying, you really need 99 00:04:41,240 --> 00:04:44,040 Speaker 3: to figure out your productivity before you ask for a headcount. 100 00:04:44,040 --> 00:04:47,080 Speaker 3: And I think that is frankly speaking, that's not good 101 00:04:47,120 --> 00:04:50,200 Speaker 3: for the downstream players, people who are selling software packages 102 00:04:50,240 --> 00:04:55,000 Speaker 3: to these companies HR software sales software. But there's not 103 00:04:55,040 --> 00:04:57,279 Speaker 3: a whole lot anybody can do about it at this point. 104 00:04:57,400 --> 00:05:00,360 Speaker 2: Anrag, I know you and Mandeep and your technology team 105 00:05:00,360 --> 00:05:03,880 Speaker 2: have done deep, deep dives into AI, and folks, there's 106 00:05:03,960 --> 00:05:06,839 Speaker 2: lots of great Bloomberg intelligence research out there on the 107 00:05:06,920 --> 00:05:11,040 Speaker 2: terminal and so check it out. But there's some serious 108 00:05:11,080 --> 00:05:13,279 Speaker 2: and deep dive work, some the best on Wall Street. 109 00:05:13,680 --> 00:05:15,720 Speaker 2: If you want to learn about what AI is, check 110 00:05:15,839 --> 00:05:19,520 Speaker 2: that out. I'll tell you what what I say, which 111 00:05:19,600 --> 00:05:23,120 Speaker 2: I don't hear many people talking about this will replace people. 112 00:05:23,200 --> 00:05:27,400 Speaker 2: AI is going to replace people across I think countless industries. 113 00:05:28,000 --> 00:05:28,880 Speaker 2: What do you guys think? 114 00:05:30,360 --> 00:05:31,880 Speaker 5: No, I think that's a very valid view. 115 00:05:31,920 --> 00:05:34,360 Speaker 3: And as I was telling you on the Microsoft's case, 116 00:05:34,680 --> 00:05:37,800 Speaker 3: when we go pre you know, pre chart gpt ERA, 117 00:05:38,520 --> 00:05:42,440 Speaker 3: for every dollar one percentage points increase in revenue for Microsoft, 118 00:05:42,640 --> 00:05:45,240 Speaker 3: that headcount used to grow somewhere around point seven zero. 119 00:05:45,120 --> 00:05:46,000 Speaker 5: Point eight times. 120 00:05:46,440 --> 00:05:48,400 Speaker 3: We're close to a point that it's going to be 121 00:05:48,560 --> 00:05:52,640 Speaker 3: very difficult to see that ratio now because Microsoft revenue 122 00:05:52,680 --> 00:05:55,320 Speaker 3: is going to grow, let's say, over the next twelve months, 123 00:05:55,360 --> 00:05:58,320 Speaker 3: somewhere around thirteen to fifteen percent, but I don't think 124 00:05:58,360 --> 00:06:00,360 Speaker 3: the HeadCount's going to grow anywhere more in four to 125 00:06:00,400 --> 00:06:04,080 Speaker 3: five percent. And that's, frankly, is the asymmetric growth between 126 00:06:04,160 --> 00:06:09,120 Speaker 3: revenue and headcount that's going to recur throughout the entire 127 00:06:09,200 --> 00:06:13,120 Speaker 3: technology you know space, And that's you know, frankly speaking, 128 00:06:13,440 --> 00:06:15,640 Speaker 3: it is good for the shareholders, but not so good 129 00:06:15,680 --> 00:06:18,960 Speaker 3: for if you are a tech worker in this landscape. 130 00:06:19,240 --> 00:06:21,160 Speaker 4: What about the tens of billions of dollars spent on 131 00:06:21,279 --> 00:06:24,600 Speaker 4: data centers and application development. We have Microsoft, for instance, 132 00:06:24,680 --> 00:06:27,520 Speaker 4: pledging that it will put a lid on that cost. 133 00:06:27,839 --> 00:06:31,680 Speaker 4: Are you also hearing that same vibe from other companies? 134 00:06:31,760 --> 00:06:34,200 Speaker 4: And by the way, to paulsepoint, that's kind of sad 135 00:06:34,240 --> 00:06:35,680 Speaker 4: because I hope we still have a job, which is 136 00:06:35,680 --> 00:06:38,279 Speaker 4: why I keep cooking, because I say cooking will not 137 00:06:38,320 --> 00:06:42,720 Speaker 4: be replaced by AI. Back to AIS in Microsoft. 138 00:06:43,120 --> 00:06:43,560 Speaker 5: Yeah, I see. 139 00:06:43,560 --> 00:06:45,800 Speaker 3: For Microsoft, they have already pledged you know, let's say 140 00:06:45,800 --> 00:06:48,080 Speaker 3: over the next twelve months, somewhere close to one hundred 141 00:06:48,080 --> 00:06:50,920 Speaker 3: dollars billion dollars for the expansion of their data center 142 00:06:51,040 --> 00:06:54,960 Speaker 3: and all the AI infrastructure build. That revenue that the 143 00:06:55,040 --> 00:06:57,080 Speaker 3: piece of that growth is going to slow down over 144 00:06:57,120 --> 00:06:58,960 Speaker 3: the next let's say, twenty four months. 145 00:06:59,000 --> 00:07:01,240 Speaker 5: But what we don't know is beyond in. 146 00:07:01,320 --> 00:07:03,640 Speaker 3: F F twenty seven or twenty eight, whether it's going 147 00:07:03,640 --> 00:07:06,520 Speaker 3: to continue that level or not. Right now, it is 148 00:07:06,640 --> 00:07:09,520 Speaker 3: driving some growth for them, but it's also hurting margins. 149 00:07:09,760 --> 00:07:12,520 Speaker 3: All this reveting that's coming up is actually has a 150 00:07:12,640 --> 00:07:15,560 Speaker 3: much lower margin structure than their core business. 151 00:07:15,600 --> 00:07:17,800 Speaker 5: So we really have to see, you know, how. 152 00:07:17,760 --> 00:07:19,400 Speaker 3: They're going to deal with margins, and one of the 153 00:07:19,400 --> 00:07:21,720 Speaker 3: ways they can do that is by reducing headcounts. 154 00:07:21,760 --> 00:07:24,000 Speaker 5: So I think they're going to give guidance. 155 00:07:23,640 --> 00:07:26,680 Speaker 3: By the end of this month when they report results 156 00:07:26,720 --> 00:07:28,920 Speaker 3: for the next their fiscal yer, which is have Fight 157 00:07:28,920 --> 00:07:31,000 Speaker 3: twenty six, and I think that's where they're going to 158 00:07:31,040 --> 00:07:33,160 Speaker 3: see some of the margin benefits of these layoffs. 159 00:07:33,400 --> 00:07:35,600 Speaker 2: And Agrana thanks so much, appreciate it as always on 160 00:07:35,640 --> 00:07:38,720 Speaker 2: our Agrana Senior Technology aannels for Bloomberg Intelligence. 161 00:07:40,440 --> 00:07:44,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 162 00:07:44,240 --> 00:07:47,600 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 163 00:07:47,720 --> 00:07:50,800 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 164 00:07:50,800 --> 00:07:53,800 Speaker 1: get your podcasts, or watch us live on YouTube. 165 00:07:54,600 --> 00:07:57,000 Speaker 2: One of the stories I really enjoyed the most on 166 00:07:57,040 --> 00:08:00,360 Speaker 2: the Bloomberg terminal today is the company I to cover 167 00:08:00,400 --> 00:08:01,800 Speaker 2: for years and years and years and did a lot 168 00:08:01,800 --> 00:08:05,800 Speaker 2: of work with Warner Brothers Discovery. This was a company 169 00:08:05,840 --> 00:08:09,120 Speaker 2: too nay famed media companies put together a few years 170 00:08:09,160 --> 00:08:12,360 Speaker 2: ago to get scale to compete, but they probably don't 171 00:08:12,360 --> 00:08:14,800 Speaker 2: have enough scale even there. So now they are and 172 00:08:14,840 --> 00:08:17,520 Speaker 2: the stock is underperformed since putting that those two companies together. 173 00:08:17,560 --> 00:08:19,840 Speaker 2: So now they're doing what I would have recommended as 174 00:08:19,840 --> 00:08:22,320 Speaker 2: a banker, which is let's take them apart again. But 175 00:08:22,360 --> 00:08:23,560 Speaker 2: part of it is you got to deal with the 176 00:08:23,560 --> 00:08:26,280 Speaker 2: balance sheet. There's a lot of debt there for this company, 177 00:08:26,240 --> 00:08:27,520 Speaker 2: so you have to figure out a way to deal 178 00:08:27,560 --> 00:08:30,480 Speaker 2: with that. Rushmi Basu joins us here Bloomberg News, a 179 00:08:30,520 --> 00:08:34,640 Speaker 2: credit reporter, Rushmi, I loved your story here today talks 180 00:08:34,640 --> 00:08:39,280 Speaker 2: about what JP Morgan, the banker for Warner Brothers Discovery, 181 00:08:39,840 --> 00:08:42,600 Speaker 2: what deal did they kind of craft to deal with 182 00:08:42,640 --> 00:08:46,360 Speaker 2: the debt problem at Warner Brothers Discovery before they could 183 00:08:46,360 --> 00:08:47,400 Speaker 2: even split the company apart. 184 00:08:48,200 --> 00:08:51,559 Speaker 6: In order for the split to happen, JP Morgan needed 185 00:08:51,559 --> 00:08:56,160 Speaker 6: to doruct a restructuring of the debt stack. So basically 186 00:08:56,200 --> 00:08:59,199 Speaker 6: what they did is they provided seventeen point five billion 187 00:08:59,280 --> 00:09:04,400 Speaker 6: dollar bridge, which is biggest bridge, massive, and they use 188 00:09:04,600 --> 00:09:09,920 Speaker 6: those funds to take out existing debt. They cut about 189 00:09:10,240 --> 00:09:13,880 Speaker 6: three point two billion of thirty two point five billion 190 00:09:13,920 --> 00:09:17,880 Speaker 6: of outstanding debt. And it was just a deal that 191 00:09:17,960 --> 00:09:22,280 Speaker 6: really used a lot of distressed restructuring tools and applied 192 00:09:22,320 --> 00:09:25,120 Speaker 6: it to an investment grade company, something we've never seen before. 193 00:09:25,800 --> 00:09:28,760 Speaker 4: Can you talk about how this has the potential to 194 00:09:28,800 --> 00:09:32,040 Speaker 4: set a new president for companies, especially those in investment grade, 195 00:09:32,160 --> 00:09:34,240 Speaker 4: to just renegotiate their debt moving forward. 196 00:09:34,520 --> 00:09:37,120 Speaker 6: So this kind of introduces a new playbook to the 197 00:09:37,120 --> 00:09:41,800 Speaker 6: investment grade community in that it was an unbelievably short consent. 198 00:09:41,920 --> 00:09:45,240 Speaker 6: It was only five days, and it was even shorter 199 00:09:45,320 --> 00:09:47,720 Speaker 6: for some funds because they had to turn in their 200 00:09:48,160 --> 00:09:52,480 Speaker 6: consent within three days given the processing times like they 201 00:09:52,520 --> 00:09:58,520 Speaker 6: were depending on software, et cetera. So really, this deal 202 00:09:58,640 --> 00:10:02,040 Speaker 6: prevented lenders from being able to organize a group and 203 00:10:02,800 --> 00:10:03,960 Speaker 6: fight for better terms. 204 00:10:04,480 --> 00:10:06,440 Speaker 2: How did they get away with that? I mean, if 205 00:10:06,480 --> 00:10:08,000 Speaker 2: I ever tried that back in the day when I 206 00:10:08,040 --> 00:10:11,640 Speaker 2: was at Chase, the bondholders would just smack back at me, 207 00:10:12,120 --> 00:10:14,160 Speaker 2: right back in my face. How did they get that done? 208 00:10:14,240 --> 00:10:17,280 Speaker 6: They really relied on kind of a prison prisoner's dilemma 209 00:10:17,480 --> 00:10:20,200 Speaker 6: in that there were winners and losers created in the 210 00:10:20,280 --> 00:10:25,080 Speaker 6: structure and they kind of stapled it to consent. There's 211 00:10:25,120 --> 00:10:27,920 Speaker 6: no kind of rules around how long a consent can be, 212 00:10:28,200 --> 00:10:32,480 Speaker 6: so they really utilized that deadline to prevent lenders from organizing. 213 00:10:32,880 --> 00:10:35,320 Speaker 6: And also they you know, to Jpmerican's Credit and to 214 00:10:35,360 --> 00:10:40,280 Speaker 6: the other advisors of Acorn Kirkland, they did provide an 215 00:10:40,280 --> 00:10:42,760 Speaker 6: exchange rate that was higher than where the debt was 216 00:10:42,800 --> 00:10:43,600 Speaker 6: currently trading. 217 00:10:44,240 --> 00:10:45,840 Speaker 2: Okay, I see, but still. 218 00:10:45,640 --> 00:10:48,040 Speaker 6: There a loss on the face value, yes, but a 219 00:10:48,080 --> 00:10:49,520 Speaker 6: premium to current trade lot. 220 00:10:49,600 --> 00:10:52,240 Speaker 2: These are investment This isn't junk. I mean these bonds 221 00:10:52,240 --> 00:10:53,000 Speaker 2: were investment grade. 222 00:10:53,000 --> 00:10:53,440 Speaker 7: Weren't they? 223 00:10:53,520 --> 00:10:53,720 Speaker 5: Yep? 224 00:10:53,880 --> 00:10:56,840 Speaker 6: I mean it kind of took investment great bombholder. 225 00:10:56,880 --> 00:10:59,360 Speaker 2: I'm not taking this deal. I just I've never seen 226 00:10:59,360 --> 00:10:59,880 Speaker 2: anything like it. 227 00:11:00,160 --> 00:11:02,160 Speaker 6: No, neither have we. And this is kind of the 228 00:11:02,200 --> 00:11:04,040 Speaker 6: concern in the market that this is going to be 229 00:11:04,160 --> 00:11:05,880 Speaker 6: the playbook that we're going to see for more and 230 00:11:05,960 --> 00:11:10,319 Speaker 6: more investment grade companies. So the distressed kind of mechanisms 231 00:11:10,360 --> 00:11:12,880 Speaker 6: are coming to investment grade. 232 00:11:12,520 --> 00:11:14,800 Speaker 4: But they must be taking a victory lap right now. 233 00:11:14,840 --> 00:11:18,240 Speaker 4: Although we do have the European Leverage Finance Association releasing 234 00:11:18,240 --> 00:11:20,720 Speaker 4: a statement warning that the whole process was quote a 235 00:11:20,720 --> 00:11:23,640 Speaker 4: worrying negative development, and they say that this might be 236 00:11:23,679 --> 00:11:28,199 Speaker 4: coercive in nature. How are others receiving this and will 237 00:11:28,240 --> 00:11:31,000 Speaker 4: it even be a president given warnings with certain language 238 00:11:31,040 --> 00:11:31,200 Speaker 4: like this. 239 00:11:31,440 --> 00:11:34,720 Speaker 6: So they're talking about the anti boycott language, which basically 240 00:11:34,760 --> 00:11:39,440 Speaker 6: prevents lenders from kind of banding together and deciding not 241 00:11:39,640 --> 00:11:43,040 Speaker 6: to take part in a new issuance. So that kind 242 00:11:43,080 --> 00:11:45,920 Speaker 6: of is the first time we've seen that language. And 243 00:11:46,000 --> 00:11:47,959 Speaker 6: you know, as we know in the distressed land. We 244 00:11:48,080 --> 00:11:51,359 Speaker 6: see a ton of like no so called liability management exercises. 245 00:11:51,679 --> 00:11:55,280 Speaker 6: We see groups kind of forming locking arms together with 246 00:11:55,320 --> 00:12:00,000 Speaker 6: these cooperation packs. But this one just basically prevents life 247 00:12:00,080 --> 00:12:03,680 Speaker 6: unders from again coming together and not partaking in a 248 00:12:03,720 --> 00:12:07,840 Speaker 6: new issuance. And you know, eventually JP Morgan is going 249 00:12:07,880 --> 00:12:09,079 Speaker 6: to have to issue new debts. 250 00:12:09,200 --> 00:12:12,520 Speaker 2: So this kind of in what's system again. What was 251 00:12:12,559 --> 00:12:14,839 Speaker 2: also interesting to me was this, you know, huge bridge 252 00:12:14,880 --> 00:12:17,600 Speaker 2: loan that JP Morgan did. Because I know a lot 253 00:12:17,600 --> 00:12:21,520 Speaker 2: of boutique investment banks they're really good at doing these 254 00:12:21,559 --> 00:12:24,120 Speaker 2: debt restructurings and maybe taking some business away from the 255 00:12:24,200 --> 00:12:26,439 Speaker 2: JP Morgans and the Goldman Sachs of the world. I 256 00:12:26,440 --> 00:12:29,040 Speaker 2: guess this is JPMorgan coming back and saying, listen, we've 257 00:12:29,080 --> 00:12:30,800 Speaker 2: got this big balance sheet. It can help you get 258 00:12:30,800 --> 00:12:31,440 Speaker 2: deals done. 259 00:12:31,840 --> 00:12:34,000 Speaker 6: And that's so long ago we reported on a story 260 00:12:34,040 --> 00:12:36,439 Speaker 6: about how JP Morgan was trying to take a bite 261 00:12:36,559 --> 00:12:40,199 Speaker 6: out of restructurings and lmes, et cetera. And one thing 262 00:12:40,280 --> 00:12:41,880 Speaker 6: that we were hearing is that they have the balance 263 00:12:41,920 --> 00:12:45,200 Speaker 6: sheet to do so something that boutique firms may not. 264 00:12:45,440 --> 00:12:48,040 Speaker 6: So this kind of gives them more validation and. 265 00:12:48,040 --> 00:12:50,120 Speaker 4: An interesting thing in your stories you said the whole 266 00:12:50,120 --> 00:12:53,760 Speaker 4: thing was so important, important enough that even Jamie Diamond 267 00:12:53,800 --> 00:12:56,200 Speaker 4: received updates on it. So it's not like this one 268 00:12:56,280 --> 00:13:01,200 Speaker 4: little niche group risking something big. Even the CEO, Yes, 269 00:13:01,280 --> 00:13:02,320 Speaker 4: Kepta breast. 270 00:13:01,960 --> 00:13:04,400 Speaker 6: This front to the top. So this was a big 271 00:13:04,440 --> 00:13:07,160 Speaker 6: deal for JP Morgan and it's bankers, the M and 272 00:13:07,200 --> 00:13:10,040 Speaker 6: A bankers, the capital markets bankers, the restructuring desks. 273 00:13:10,080 --> 00:13:12,600 Speaker 2: This was all right, JP Morgan and the company may 274 00:13:12,640 --> 00:13:15,080 Speaker 2: be doing a victory lap, but at some point in 275 00:13:15,120 --> 00:13:17,400 Speaker 2: the next year, two three, they're gonna have to come 276 00:13:17,400 --> 00:13:19,320 Speaker 2: back to the bond market and these people are going 277 00:13:19,360 --> 00:13:22,679 Speaker 2: to remember, and there could be a price to pay there. 278 00:13:22,720 --> 00:13:24,760 Speaker 2: I know I would hold a grudge if I were 279 00:13:25,120 --> 00:13:28,280 Speaker 2: a bond holder there. So anyway, great story. It got 280 00:13:28,320 --> 00:13:30,080 Speaker 2: a green bee, folks, and that means that it's a 281 00:13:30,120 --> 00:13:34,440 Speaker 2: really really good, cool story, and it's unique and into 282 00:13:34,440 --> 00:13:36,440 Speaker 2: scoopish and all those kinds of things of the journalists 283 00:13:36,440 --> 00:13:38,560 Speaker 2: worry about. Resh me, Bossu, thank you so much for 284 00:13:38,640 --> 00:13:42,440 Speaker 2: joining us credit reporter for Bloomberger's great story right down 285 00:13:42,920 --> 00:13:46,720 Speaker 2: my hallway. And what I did notice is JP Morgan 286 00:13:46,880 --> 00:13:49,720 Speaker 2: actually was the M and A advisor on the deal 287 00:13:49,720 --> 00:13:52,319 Speaker 2: coming together to put the company together, and now they're 288 00:13:52,320 --> 00:13:53,559 Speaker 2: getting paid to take them apart. 289 00:13:53,720 --> 00:13:54,439 Speaker 5: That is beautiful. 290 00:13:56,559 --> 00:14:00,920 Speaker 1: You're listening to the Bloomberg Intelligence podcast live weekdays at 291 00:14:00,960 --> 00:14:03,920 Speaker 1: ten am Eastern on applecar Play and Android Auto with 292 00:14:04,000 --> 00:14:07,120 Speaker 1: the Bloomberg Business App. Listen on demand wherever you get 293 00:14:07,120 --> 00:14:09,920 Speaker 1: your podcasts, or watch us live on YouTube. 294 00:14:10,960 --> 00:14:13,240 Speaker 2: The bond market's certainly taking notice here. I got the 295 00:14:13,280 --> 00:14:15,080 Speaker 2: fun end of the curve up nine basis points on 296 00:14:15,120 --> 00:14:17,680 Speaker 2: the two year. So the bond market cares, which means 297 00:14:18,200 --> 00:14:21,280 Speaker 2: Ira Jersey cares. Ira Jersey, chief US interest rate Strategies. 298 00:14:21,320 --> 00:14:25,480 Speaker 2: Bloomberg Intelligence esconced in that Princeton office. I keep ting, 299 00:14:25,520 --> 00:14:26,880 Speaker 2: we have a nice office here in New York, but 300 00:14:26,880 --> 00:14:30,080 Speaker 2: it's not budgeting at all. My man is comfortable down there, 301 00:14:30,080 --> 00:14:33,360 Speaker 2: and I respect that. Hey, Ira, what did you and 302 00:14:33,400 --> 00:14:35,920 Speaker 2: what did your bond market take away from some of 303 00:14:35,960 --> 00:14:40,000 Speaker 2: all this economic data we had today, including ism, which 304 00:14:40,040 --> 00:14:41,920 Speaker 2: came in a little bit better and expected as well. 305 00:14:42,720 --> 00:14:42,920 Speaker 7: Yeah. 306 00:14:42,960 --> 00:14:45,840 Speaker 8: Well, I think in particular, people were concentrating on that 307 00:14:45,960 --> 00:14:48,440 Speaker 8: unemployment rate as well as the fact that you didn't 308 00:14:48,440 --> 00:14:51,080 Speaker 8: have a signific you know, you had to slow down 309 00:14:51,160 --> 00:14:53,320 Speaker 8: in private payrolls, but you didn't have as significant a 310 00:14:53,320 --> 00:14:55,720 Speaker 8: slowdown in aggregate payrolls, and those were. 311 00:14:55,560 --> 00:14:56,680 Speaker 7: The things that people were worried about. 312 00:14:56,720 --> 00:14:58,480 Speaker 8: So the reason why the two year yield is off 313 00:14:58,560 --> 00:15:01,360 Speaker 8: nine basis points right now is basically we were starting 314 00:15:01,400 --> 00:15:03,400 Speaker 8: to price in for the chance of a July rate cut, 315 00:15:03,840 --> 00:15:06,120 Speaker 8: and that's basically off the table at this point. 316 00:15:06,200 --> 00:15:08,040 Speaker 7: So September is now. 317 00:15:07,920 --> 00:15:11,200 Speaker 8: Priced about three quarters of a seventy five percent chance 318 00:15:11,200 --> 00:15:13,920 Speaker 8: of a September cut. I still think that's probably going 319 00:15:13,960 --> 00:15:16,880 Speaker 8: to be a little bit too early, but nonetheless, you know, 320 00:15:16,960 --> 00:15:19,760 Speaker 8: taking out July meant no nine basis points on twoes, 321 00:15:19,800 --> 00:15:21,000 Speaker 8: and that's exactly what we've seen. 322 00:15:21,400 --> 00:15:24,040 Speaker 4: We have Gregory Faranello, if a mayor of it Security, 323 00:15:24,080 --> 00:15:26,880 Speaker 4: saying the Fed will take the summer off. It's really 324 00:15:26,960 --> 00:15:31,440 Speaker 4: a surprising report. To your point, rate cuts for July 325 00:15:31,560 --> 00:15:35,720 Speaker 4: basical punches zero September is kind of ify. How did 326 00:15:35,720 --> 00:15:38,000 Speaker 4: this shape your view moving forward? Did you immediately have 327 00:15:38,080 --> 00:15:40,240 Speaker 4: to write a report? Did you and your team really 328 00:15:41,320 --> 00:15:45,440 Speaker 4: were surprised and had to reshape or re angle your outlook? 329 00:15:46,360 --> 00:15:48,280 Speaker 7: Yeah, it was, I mean, I guess a little bit. 330 00:15:48,320 --> 00:15:51,720 Speaker 8: You know, you know, the consensus for the unemployment rate 331 00:15:51,920 --> 00:15:53,360 Speaker 8: was for it to go up a tenth and set 332 00:15:53,360 --> 00:15:54,800 Speaker 8: it went down a tenth, and I think that that 333 00:15:55,000 --> 00:15:57,160 Speaker 8: was the single biggest surprise, you know, you know, we 334 00:15:57,200 --> 00:16:00,600 Speaker 8: don't our colleagues over at Bloomberg geconom they own that 335 00:16:00,680 --> 00:16:04,720 Speaker 8: unemployment call, but the you know, I think it didn't 336 00:16:04,760 --> 00:16:07,160 Speaker 8: really reshape our views very much at all, because we've 337 00:16:07,160 --> 00:16:10,560 Speaker 8: been suggesting that we'll continue to kind of muddle along 338 00:16:10,680 --> 00:16:15,960 Speaker 8: with okay, employment situation, with this overhang of tariffs, keeping 339 00:16:15,960 --> 00:16:19,640 Speaker 8: the Fed on hold probably until at least the October meeting, 340 00:16:19,640 --> 00:16:22,480 Speaker 8: which happens in very late October. So we're looking at 341 00:16:22,480 --> 00:16:25,480 Speaker 8: the fourth quarter in our view, before the Federal Reserve 342 00:16:25,520 --> 00:16:26,800 Speaker 8: makes any moves at all. 343 00:16:27,080 --> 00:16:28,480 Speaker 7: Or we'll get enough data, you know. 344 00:16:28,520 --> 00:16:31,240 Speaker 8: You know, I think the market is more sensitive to 345 00:16:31,320 --> 00:16:33,480 Speaker 8: data now thinking that oh, they're going to change on 346 00:16:33,520 --> 00:16:36,520 Speaker 8: a dime. One bad data print means that the Federal 347 00:16:36,520 --> 00:16:38,840 Speaker 8: Reserve may go or not. But that's that's quite frankly 348 00:16:38,880 --> 00:16:41,960 Speaker 8: not the case. And one of the you know, necessary 349 00:16:41,960 --> 00:16:44,920 Speaker 8: conditions for the Fed to cut rates is a weakening 350 00:16:44,960 --> 00:16:50,240 Speaker 8: employment situation. And while it's it's weakening, it's not getting weaker, right, 351 00:16:50,320 --> 00:16:53,480 Speaker 8: So so it's you know, the the we're not yet 352 00:16:53,520 --> 00:16:55,920 Speaker 8: at a point where the FED will feel compelled to 353 00:16:55,960 --> 00:16:57,960 Speaker 8: cut because of the job situation. 354 00:16:59,080 --> 00:17:02,040 Speaker 2: So sent that the market now has maybe a better 355 00:17:02,080 --> 00:17:04,119 Speaker 2: feel on the labor market, and maybe the FED has 356 00:17:04,160 --> 00:17:07,840 Speaker 2: a better feel on the labor market with today's data focused, 357 00:17:07,880 --> 00:17:12,160 Speaker 2: can then maybe move to inflation. What are the expectations 358 00:17:12,160 --> 00:17:14,880 Speaker 2: in the market here. We haven't really seen any inflation 359 00:17:16,119 --> 00:17:18,840 Speaker 2: creep into this market of any note here, which some 360 00:17:18,880 --> 00:17:21,040 Speaker 2: people had feared with the tariffs and so on. 361 00:17:21,760 --> 00:17:23,960 Speaker 8: What's the view there, Yeah, well, there's a couple of 362 00:17:24,040 --> 00:17:27,800 Speaker 8: things going on under you know, underlying some there were 363 00:17:27,840 --> 00:17:29,520 Speaker 8: some when you look at the May data, there were 364 00:17:29,560 --> 00:17:31,800 Speaker 8: some sectors that did see a little bit of an 365 00:17:31,880 --> 00:17:35,359 Speaker 8: uptick in inflation in the good sector, but that was 366 00:17:35,400 --> 00:17:38,560 Speaker 8: offset in large part and will be offset again by 367 00:17:38,600 --> 00:17:42,159 Speaker 8: lower energy prices and as well as rents that are 368 00:17:42,200 --> 00:17:44,520 Speaker 8: starting to flow through. Keep in mind, you know, when 369 00:17:44,520 --> 00:17:47,800 Speaker 8: we talk about rents and owner's equivalent rent, which is 370 00:17:47,840 --> 00:17:51,520 Speaker 8: the housing component of the consumer price index, that will 371 00:17:51,560 --> 00:17:54,280 Speaker 8: continue to fall just naturally because it takes a long 372 00:17:54,400 --> 00:17:57,960 Speaker 8: time for you know, twelve months basically right for rents 373 00:17:58,000 --> 00:18:00,560 Speaker 8: to be adjusted to these new prices. So you're going 374 00:18:00,600 --> 00:18:03,159 Speaker 8: to wind up seeing, yes, it, prices will increase but 375 00:18:03,200 --> 00:18:06,400 Speaker 8: they're increasing at a slower pace. That means that inflation 376 00:18:06,760 --> 00:18:11,200 Speaker 8: is falling. And I think we're in an environment where okay, 377 00:18:11,240 --> 00:18:14,040 Speaker 8: goods prices go up a little, but with energy prices 378 00:18:14,040 --> 00:18:17,040 Speaker 8: and housing prices starting to come down, the only variable 379 00:18:17,080 --> 00:18:20,080 Speaker 8: left is what are service prices doing? And in today's 380 00:18:20,119 --> 00:18:23,200 Speaker 8: report you saw that wages in the services sector were 381 00:18:23,240 --> 00:18:24,320 Speaker 8: a little bit lower. 382 00:18:24,080 --> 00:18:26,480 Speaker 7: Month on month in June than they were in May. 383 00:18:26,600 --> 00:18:29,160 Speaker 8: So yeah, I agree with you, Paul, Like, we haven't 384 00:18:29,160 --> 00:18:30,960 Speaker 8: seen inflation and probably won't. 385 00:18:30,920 --> 00:18:34,400 Speaker 2: Interesting all right, folks, Ira Jersey we know him as 386 00:18:34,520 --> 00:18:37,239 Speaker 2: one of the leading voices on US interest rates in 387 00:18:37,240 --> 00:18:42,200 Speaker 2: Global Wall Street, but he's also our soccer correspondent as well. Ira, 388 00:18:42,280 --> 00:18:43,320 Speaker 2: can you explain to me. 389 00:18:44,160 --> 00:18:45,800 Speaker 7: Club World Cup? 390 00:18:46,240 --> 00:18:47,720 Speaker 2: Where did that come from? 391 00:18:48,720 --> 00:18:51,800 Speaker 8: It was the attempt by FIFA for money grab and 392 00:18:52,359 --> 00:18:56,159 Speaker 8: quite frankly, I think it's underwhelmed. You know, there's in 393 00:18:56,200 --> 00:18:59,000 Speaker 8: the summer you're kind of used to seeing Major league soccer, 394 00:18:59,040 --> 00:19:03,320 Speaker 8: and then you know international tournaments like the Women's Euros. 395 00:19:02,920 --> 00:19:03,520 Speaker 7: Just kicked off. 396 00:19:03,560 --> 00:19:06,440 Speaker 8: That's all the national women's teams in Europe kicking off, 397 00:19:06,440 --> 00:19:09,200 Speaker 8: and we have the Gold Cup here in North America 398 00:19:09,240 --> 00:19:12,840 Speaker 8: where we just saw last night Guatemala lose to the 399 00:19:12,960 --> 00:19:16,320 Speaker 8: United States, and you know, so now we're set up 400 00:19:16,359 --> 00:19:20,000 Speaker 8: for a final in this weekend. You know, the Club 401 00:19:20,040 --> 00:19:22,840 Speaker 8: World Cup is an idea that maybe some people will like, 402 00:19:23,320 --> 00:19:26,920 Speaker 8: but it's really underwhelmed. The times of games have been 403 00:19:26,960 --> 00:19:29,239 Speaker 8: really poor. It hasn't been good for the health of 404 00:19:29,240 --> 00:19:31,760 Speaker 8: some players playing in you know, summer. 405 00:19:31,440 --> 00:19:33,480 Speaker 7: Heat in the United States at noon. 406 00:19:34,640 --> 00:19:37,040 Speaker 8: I'm not not a huge fan of the tournament so far, 407 00:19:37,080 --> 00:19:37,840 Speaker 8: the way it's been run. 408 00:19:37,920 --> 00:19:39,639 Speaker 2: Yeah kind of yeah. I kind of was there, but 409 00:19:39,680 --> 00:19:41,440 Speaker 2: I didn't really know what was there, and I'm like, 410 00:19:41,440 --> 00:19:44,239 Speaker 2: where did that come from? So all right, now I've 411 00:19:44,240 --> 00:19:46,720 Speaker 2: a little bit more clear. Irid Jersey, he gives you 412 00:19:46,720 --> 00:19:48,640 Speaker 2: what you need to know on the interest rate space. 413 00:19:48,720 --> 00:19:50,520 Speaker 2: It gives you what you need to know about global soccer. 414 00:19:50,520 --> 00:19:51,879 Speaker 2: He tells me what I need to pay attention to 415 00:19:51,960 --> 00:19:53,960 Speaker 2: him when I don't, So we appreciate that. Irid Jersey, 416 00:19:54,000 --> 00:19:57,240 Speaker 2: Chief US Interest rate Strategist at Bloomberg Intelligence, coming to 417 00:19:57,280 --> 00:19:58,840 Speaker 2: us from our Princeton office. 418 00:20:00,000 --> 00:20:04,480 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 419 00:20:04,680 --> 00:20:08,160 Speaker 1: and anywhere else you get your podcasts. Listen live each 420 00:20:08,160 --> 00:20:11,920 Speaker 1: weekday ten am to noon Eastern on bloomberg dot com, 421 00:20:12,040 --> 00:20:15,600 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 422 00:20:16,000 --> 00:20:18,960 Speaker 1: You can also watch us live every weekday on YouTube 423 00:20:19,320 --> 00:20:21,600 Speaker 1: and always on the Bloomberg terminal