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 --> 00:00:14,600 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 --> 00:00:21,920 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,960 --> 00:00:23,120 Speaker 1: us live on YouTube. 6 00:00:23,640 --> 00:00:26,520 Speaker 2: This is Bloomberg Intelligence Radio. All right, let's get to 7 00:00:26,600 --> 00:00:29,360 Speaker 2: that consumer confidence on number jumping the most in four 8 00:00:29,480 --> 00:00:33,120 Speaker 2: years on outlook for better economy as well as trade truth. 9 00:00:33,240 --> 00:00:35,440 Speaker 2: Joining us now to break down those numbers even more 10 00:00:36,080 --> 00:00:40,000 Speaker 2: is Stephanie Gusha, a senior economist at the conference Sport. 11 00:00:40,440 --> 00:00:43,840 Speaker 2: Is it truly alle relief on trade? At this point? 12 00:00:46,200 --> 00:00:51,440 Speaker 3: It's largely We split our sample around May twelve to 13 00:00:51,520 --> 00:00:54,720 Speaker 3: see whether there was a stronger improvement in the second 14 00:00:54,760 --> 00:00:58,880 Speaker 3: half of the month, and there was, sorry, truly after 15 00:00:58,960 --> 00:01:02,000 Speaker 3: the trade did with CHI now that we saw strongest 16 00:01:02,040 --> 00:01:06,160 Speaker 3: improvement in our indicators, especially the expectation component. 17 00:01:06,959 --> 00:01:11,920 Speaker 4: So in your index here, what's the makeup of kind 18 00:01:11,920 --> 00:01:15,440 Speaker 4: of consumer confidence? Is it how much is kind of jobs? 19 00:01:15,480 --> 00:01:19,400 Speaker 4: Do I have a job? Or is it more about inflation? 20 00:01:19,600 --> 00:01:20,959 Speaker 4: What am I going to have to pay for stuff? 21 00:01:21,000 --> 00:01:23,479 Speaker 4: Just general economic concerned? How is that waited? 22 00:01:24,520 --> 00:01:27,880 Speaker 3: So it's a lot about jobs, both in the current 23 00:01:27,959 --> 00:01:31,600 Speaker 3: situation and in the expectations components. And one thing to 24 00:01:31,720 --> 00:01:36,600 Speaker 3: notice that the current job situation is the only component 25 00:01:36,680 --> 00:01:39,920 Speaker 3: of the index that didn't improve this month, So there 26 00:01:39,920 --> 00:01:43,840 Speaker 3: are still some concern about, you know, where the label 27 00:01:43,880 --> 00:01:49,240 Speaker 3: market is going right now, and we don't explicitly have 28 00:01:50,360 --> 00:01:56,120 Speaker 3: an inflation component in the index. However, we ask consumers 29 00:01:56,160 --> 00:01:59,720 Speaker 3: about how they feel about their future income, which could 30 00:01:59,760 --> 00:02:03,680 Speaker 3: be capturing, you know, whether they are going to get 31 00:02:03,800 --> 00:02:07,240 Speaker 3: enough money to pay for what they need, and that 32 00:02:07,240 --> 00:02:10,000 Speaker 3: that's one of the components of the expectation component. But 33 00:02:10,080 --> 00:02:12,919 Speaker 3: it's not really about inflation overall. It's more about the 34 00:02:13,000 --> 00:02:13,639 Speaker 3: label market. 35 00:02:14,639 --> 00:02:17,000 Speaker 2: Okay, Stephanie, thank you very much. Really interesting, and also 36 00:02:17,000 --> 00:02:20,160 Speaker 2: we have not recouped though the big decline that we've seen. 37 00:02:20,200 --> 00:02:23,200 Speaker 2: It's not a full v yet that recovery for consumer 38 00:02:23,240 --> 00:02:26,080 Speaker 2: confidence a right, Stephanie Kusha joining us there from the 39 00:02:26,120 --> 00:02:26,840 Speaker 2: conference board. 40 00:02:28,600 --> 00:02:32,320 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 41 00:02:32,400 --> 00:02:35,440 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 42 00:02:35,480 --> 00:02:38,800 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 43 00:02:38,840 --> 00:02:41,960 Speaker 1: you get your podcasts, or watch us live on YouTube. 44 00:02:42,360 --> 00:02:44,480 Speaker 2: Alex still here alongside pauls we need. This is Bloomberg 45 00:02:44,520 --> 00:02:48,080 Speaker 2: Intelligence Radio. We're broadcasting to live from our interactive broker 46 00:02:48,080 --> 00:02:50,160 Speaker 2: studio right here in mid tom Manhattan. Also check us 47 00:02:50,160 --> 00:02:53,080 Speaker 2: out on YouTube, Bloomberg dot com, as well as originals 48 00:02:53,160 --> 00:02:56,240 Speaker 2: on realku and your smart tv anywhere where you get 49 00:02:56,280 --> 00:02:58,720 Speaker 2: your news. So, the news over the weekend as well 50 00:02:58,760 --> 00:03:01,600 Speaker 2: as this morning, is President Trump rolling back it's tariff 51 00:03:01,880 --> 00:03:05,400 Speaker 2: deadline and tariff amount on the European Union, saying that 52 00:03:05,440 --> 00:03:07,920 Speaker 2: it's speeding up, it's treading negotiations and he thinks this 53 00:03:07,960 --> 00:03:11,720 Speaker 2: is a positive event. Now that deadline's extended to July ninth, 54 00:03:11,760 --> 00:03:14,560 Speaker 2: after a call this weekend with the European Commission President 55 00:03:14,600 --> 00:03:17,080 Speaker 2: Ursula Vonderlyon. Let's get more on this with Roz Matheson, 56 00:03:17,080 --> 00:03:20,000 Speaker 2: Bloomberg News director for Europe, the Middle East and Africa. 57 00:03:20,280 --> 00:03:22,880 Speaker 2: Ros What do we know that the EU Ursula Vonderlyon 58 00:03:23,000 --> 00:03:25,440 Speaker 2: offered President Trump to make him feel so good about it? 59 00:03:26,880 --> 00:03:28,440 Speaker 5: Well, part of it might have just been that that 60 00:03:28,480 --> 00:03:30,760 Speaker 5: phone call seemed to have gone smoothly, but also what 61 00:03:30,800 --> 00:03:33,040 Speaker 5: we saw from the markets when he threatened the fifty 62 00:03:33,080 --> 00:03:37,320 Speaker 5: percent tariff, maybe al so perhaps entered into Donald Trump's thinking. 63 00:03:37,360 --> 00:03:39,160 Speaker 5: But as you say, we do know after that call 64 00:03:39,200 --> 00:03:41,560 Speaker 5: that he walked back that threat. So we've got a 65 00:03:41,600 --> 00:03:44,040 Speaker 5: bit more breathing space on the EU side to get 66 00:03:44,440 --> 00:03:47,160 Speaker 5: talks going. And now the question is how can talks 67 00:03:47,200 --> 00:03:49,200 Speaker 5: occur in a in a proper way, and what is 68 00:03:49,240 --> 00:03:53,280 Speaker 5: the EU going to do potentially to crack open the 69 00:03:53,280 --> 00:03:56,200 Speaker 5: door with US without giving away its own red lines, 70 00:03:56,240 --> 00:03:58,040 Speaker 5: because the E does have a whole lot of stuff 71 00:03:58,040 --> 00:04:00,840 Speaker 5: that is just willing, not willing to give ground on. 72 00:04:00,960 --> 00:04:02,760 Speaker 5: We do know they seem to be wanting to now 73 00:04:02,920 --> 00:04:05,400 Speaker 5: split up the talks a little bit, So separate all 74 00:04:05,440 --> 00:04:08,280 Speaker 5: these big things out into smaller pieces and see if 75 00:04:08,280 --> 00:04:11,280 Speaker 5: they can make any traction on individual things. So more 76 00:04:11,320 --> 00:04:15,160 Speaker 5: on the political side, there's hot button issues around auto's pharmer, 77 00:04:15,720 --> 00:04:19,320 Speaker 5: civil aircraft chips and so on, and then more technical 78 00:04:19,400 --> 00:04:23,559 Speaker 5: level conversation around things like non tariff barriers. So split 79 00:04:23,640 --> 00:04:26,840 Speaker 5: everything up into smaller compartments again and see if they 80 00:04:26,880 --> 00:04:29,919 Speaker 5: can edge anything forward. But in doing so you do 81 00:04:30,040 --> 00:04:34,400 Speaker 5: also risk fragmentation. And the question is in conversations going forward, 82 00:04:34,680 --> 00:04:37,000 Speaker 5: do you end up with partial bits of a framework 83 00:04:37,040 --> 00:04:40,520 Speaker 5: deal and nothing really complete? And what then happens if 84 00:04:40,560 --> 00:04:43,200 Speaker 5: we get very very close to this July deadline and 85 00:04:43,279 --> 00:04:44,440 Speaker 5: things are still deadlocked. 86 00:04:45,320 --> 00:04:51,160 Speaker 4: So ross how united is the European Union in these negotiations? 87 00:04:51,200 --> 00:04:52,520 Speaker 4: Here in these discussions do you think? 88 00:04:54,080 --> 00:04:56,280 Speaker 5: Well, that's always the classic question, isn't it with the 89 00:04:56,320 --> 00:04:59,680 Speaker 5: EU unity in the minute? Because it is a bunch 90 00:04:59,720 --> 00:05:04,520 Speaker 5: of very different economies and very different politicians leading each country. 91 00:05:04,560 --> 00:05:06,600 Speaker 5: In this case, there does seem to be a decent 92 00:05:07,080 --> 00:05:09,440 Speaker 5: amount of unity. You're not seeing some of the bigger 93 00:05:09,440 --> 00:05:13,240 Speaker 5: economies speak out necessarily against each other. I mean, that's 94 00:05:13,279 --> 00:05:16,039 Speaker 5: been the weakness and the strength of the EU for 95 00:05:16,120 --> 00:05:19,400 Speaker 5: many many decades, is trying to peel individual leaders away 96 00:05:19,920 --> 00:05:22,360 Speaker 5: from each other. We've seen that for example on how 97 00:05:22,400 --> 00:05:25,479 Speaker 5: to handle the war in Ukraine. But on this they 98 00:05:25,480 --> 00:05:28,240 Speaker 5: do seem to be unified. So even some of the 99 00:05:28,279 --> 00:05:32,520 Speaker 5: economies that have tended to side with Donald Trump are 100 00:05:32,520 --> 00:05:35,400 Speaker 5: falling in line. The question again is like, is there 101 00:05:35,440 --> 00:05:39,080 Speaker 5: any wiggle room between the EU and the US to 102 00:05:39,160 --> 00:05:41,440 Speaker 5: get to some kind of framework agreement or are we 103 00:05:41,480 --> 00:05:44,320 Speaker 5: going to see this all happen in July and then 104 00:05:44,400 --> 00:05:48,800 Speaker 5: EU retaliation, which could be quite significant, kicks in automatically 105 00:05:49,240 --> 00:05:51,960 Speaker 5: at that point, and so it's really downe to the 106 00:05:52,000 --> 00:05:54,599 Speaker 5: negotiators at this point to see if they can find 107 00:05:55,080 --> 00:05:57,960 Speaker 5: common ground and the role potential of Ursula Vonderline in 108 00:05:58,000 --> 00:06:01,080 Speaker 5: that her chief trade negotiator been talking a lot with 109 00:06:01,240 --> 00:06:04,520 Speaker 5: US officials like Howard Lutnick for example, and jameson Gria 110 00:06:05,080 --> 00:06:07,920 Speaker 5: of late. Is that personal relationship going to get any 111 00:06:08,000 --> 00:06:10,720 Speaker 5: kind of traction and are they able to represent and 112 00:06:10,839 --> 00:06:12,440 Speaker 5: hear you collectively then as a whole. 113 00:06:12,760 --> 00:06:16,000 Speaker 2: But that's sort of what confuses me because is it 114 00:06:16,120 --> 00:06:18,240 Speaker 2: concrete stuff or is it just having a good phone 115 00:06:18,240 --> 00:06:20,760 Speaker 2: call with President Trump? And like, what can Europe actually 116 00:06:20,760 --> 00:06:22,760 Speaker 2: offer thus concrete that's not going to make all the 117 00:06:22,839 --> 00:06:24,280 Speaker 2: other twenty six members mad? 118 00:06:26,080 --> 00:06:26,960 Speaker 4: Well, that's the thing. 119 00:06:27,440 --> 00:06:30,840 Speaker 5: It does seem to be quite personal, right. I was 120 00:06:30,880 --> 00:06:34,279 Speaker 5: thinking about recently, even to Donald Trump's first term in 121 00:06:34,360 --> 00:06:36,479 Speaker 5: office and some of the trade tensions with China for 122 00:06:36,520 --> 00:06:38,839 Speaker 5: example that came up at the G twenty's and so on, 123 00:06:39,080 --> 00:06:41,080 Speaker 5: and how it always took like a meal with sieging 124 00:06:41,120 --> 00:06:44,040 Speaker 5: Pings sitting down at a table together, that leader level 125 00:06:44,080 --> 00:06:47,320 Speaker 5: conversation to break the eyes to get a thaw, even 126 00:06:47,360 --> 00:06:50,960 Speaker 5: if it's temporary in trade tensions. We saw that with 127 00:06:51,080 --> 00:06:53,320 Speaker 5: China over and over again. And then of course it 128 00:06:53,360 --> 00:06:56,600 Speaker 5: all fell apart some months later and we were back 129 00:06:56,640 --> 00:06:58,280 Speaker 5: to a trade war. So it does seem to be 130 00:06:58,400 --> 00:07:02,640 Speaker 5: quite personality dependent, and it's about again the EU does 131 00:07:02,800 --> 00:07:04,880 Speaker 5: have its red lines. It's not going to roll over 132 00:07:05,520 --> 00:07:09,000 Speaker 5: in order to get a deal. Equally, it's about letting 133 00:07:09,040 --> 00:07:10,960 Speaker 5: Donald Trump feel like he's got a win on some 134 00:07:11,080 --> 00:07:14,480 Speaker 5: parts of it potentially, So it's a very careful exercise. 135 00:07:14,560 --> 00:07:16,560 Speaker 5: In this case, the EU is saying, you know, these 136 00:07:16,600 --> 00:07:19,880 Speaker 5: negotiators are representing all of us. You can't try and 137 00:07:19,920 --> 00:07:22,800 Speaker 5: come to each leader individually and peel us off. The 138 00:07:22,880 --> 00:07:25,640 Speaker 5: representatives for us are the people who are talking to you. 139 00:07:25,800 --> 00:07:29,160 Speaker 5: So this is the EU chief negotiator, for example Shaskovich. 140 00:07:29,240 --> 00:07:32,040 Speaker 5: It's also Oshel of Vondeline and those in the Commission. 141 00:07:32,200 --> 00:07:36,040 Speaker 5: So they are holding the line on that versus coming individually. 142 00:07:36,160 --> 00:07:39,160 Speaker 5: But again, do they have that personal rapport that's going 143 00:07:39,160 --> 00:07:40,320 Speaker 5: to get this over the line. 144 00:07:40,600 --> 00:07:42,640 Speaker 4: Ross, thanks so much for joining us. Really appreciate getting 145 00:07:42,680 --> 00:07:45,080 Speaker 4: your reporting. Ross Math as a news director for you're 146 00:07:45,360 --> 00:07:47,400 Speaker 4: the Middle East and Africa for Bloomberg News. Joining us 147 00:07:48,000 --> 00:07:51,600 Speaker 4: via zoom from our London headquarters at Queen Victoria Street. 148 00:07:52,920 --> 00:07:56,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch US live 149 00:07:56,680 --> 00:07:59,800 Speaker 1: weekdays at ten am Eastern on Applecarckley and Android Dot 150 00:08:00,200 --> 00:08:03,240 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 151 00:08:03,280 --> 00:08:06,240 Speaker 1: get your podcasts, or watch us live on YouTube. 152 00:08:06,520 --> 00:08:09,440 Speaker 2: All Right, One of the great stories over the weekend, 153 00:08:09,480 --> 00:08:11,480 Speaker 2: I mean great as in you can really sink your 154 00:08:11,520 --> 00:08:16,560 Speaker 2: teeth into the ongoing drama of this is President Trump's Administration's. 155 00:08:15,680 --> 00:08:17,600 Speaker 6: Attack on Harvard. 156 00:08:17,680 --> 00:08:21,080 Speaker 2: The latest is the administration's moving to council all remaining 157 00:08:21,120 --> 00:08:24,600 Speaker 2: federal contracts with Harvard University, worth an estimated one hundred 158 00:08:24,760 --> 00:08:28,920 Speaker 2: million dollars. The latest in this battle with this university. 159 00:08:29,000 --> 00:08:33,640 Speaker 2: Janet Lauren is Bloomberg Higher Education finance reporter and joins us. Now, 160 00:08:33,679 --> 00:08:34,840 Speaker 2: what's the end goal? 161 00:08:35,360 --> 00:08:36,680 Speaker 6: Do you think is Harvard. 162 00:08:36,400 --> 00:08:38,520 Speaker 2: Kind of understands this from the Trump administration. 163 00:08:39,160 --> 00:08:42,600 Speaker 6: That's a really good question, because it seems like several 164 00:08:42,679 --> 00:08:46,520 Speaker 6: times a week we're seeing a new financial tool being 165 00:08:46,559 --> 00:08:50,640 Speaker 6: hammered down on Harvard. The Trump administration has a lot 166 00:08:50,640 --> 00:08:54,520 Speaker 6: of issues with Harvard, and many of these elite universities, 167 00:08:54,600 --> 00:08:57,600 Speaker 6: Harvard and Columbia have been single dart. Harvard is the 168 00:08:57,720 --> 00:09:01,520 Speaker 6: richest and the oldest university in America, so it has 169 00:09:01,640 --> 00:09:06,440 Speaker 6: a particular status. But the administration is outlined several things 170 00:09:07,080 --> 00:09:10,160 Speaker 6: in addition to them not doing enough about anti Semitism. 171 00:09:10,520 --> 00:09:14,360 Speaker 6: They say they're discriminatory in hiring and admissions, and what 172 00:09:14,400 --> 00:09:19,160 Speaker 6: does that mean. They you know, it's related to diversity 173 00:09:19,200 --> 00:09:23,239 Speaker 6: and DEI that they're potentially not picking the best candidates 174 00:09:23,240 --> 00:09:27,000 Speaker 6: and other candidates are being excluded. He is a problem 175 00:09:27,040 --> 00:09:31,200 Speaker 6: with the ideal ideological bias, as he said, which is 176 00:09:31,320 --> 00:09:34,880 Speaker 6: very left leaning at Harvard, and they should they should 177 00:09:35,160 --> 00:09:39,440 Speaker 6: promote more viewpoints than just one. And Harvard has said 178 00:09:39,559 --> 00:09:41,880 Speaker 6: they don't disagree with him on some of these points, 179 00:09:41,920 --> 00:09:44,200 Speaker 6: but they don't agree with the way Trump is trying 180 00:09:44,200 --> 00:09:47,680 Speaker 6: to implement this with you know, huge financial penalties. And 181 00:09:48,240 --> 00:09:51,719 Speaker 6: people say, well, Harvard's a private university. Why does the 182 00:09:51,840 --> 00:09:54,360 Speaker 6: US government have a say in this? And the US 183 00:09:54,480 --> 00:09:58,160 Speaker 6: government gives universities like Harvard, you know, billions of dollars 184 00:09:58,240 --> 00:10:05,520 Speaker 6: in invest in grants, grants, it's true, grants and contracts. 185 00:10:05,880 --> 00:10:09,680 Speaker 6: But the federal government also allows student visas. They allow 186 00:10:11,520 --> 00:10:14,360 Speaker 6: international students to come to study at universities. 187 00:10:14,480 --> 00:10:17,800 Speaker 2: Well, not necessarily. Now Politico is just reporting Paul. The 188 00:10:17,920 --> 00:10:22,160 Speaker 2: US orders halts a student visa interviews, so there is that. 189 00:10:23,280 --> 00:10:25,640 Speaker 3: Okay, So student visas. 190 00:10:25,280 --> 00:10:28,840 Speaker 6: Are regulated, you know, through the US government, and Harvard 191 00:10:28,880 --> 00:10:32,240 Speaker 6: has almost seven thousand international students. If you look at 192 00:10:32,240 --> 00:10:35,960 Speaker 6: the international community in total, it's more like ten thousand people, 193 00:10:36,600 --> 00:10:40,160 Speaker 6: which doesn't the lower number doesn't include people who are 194 00:10:40,160 --> 00:10:44,400 Speaker 6: here for fellowships or doing research and their families and 195 00:10:44,760 --> 00:10:49,240 Speaker 6: international students typically pay the full price. So there's more 196 00:10:49,280 --> 00:10:51,680 Speaker 6: than a million of them in the US, and it's 197 00:10:51,720 --> 00:10:55,040 Speaker 6: really propped up a lot of universities, including Harvard. 198 00:10:56,040 --> 00:10:59,079 Speaker 4: What's the legal path that Harvard has taken here? 199 00:10:59,440 --> 00:11:03,840 Speaker 6: So Harvard suit immediately and there's a temporary restraining order. 200 00:11:03,880 --> 00:11:08,480 Speaker 6: There's a hearing coming up this week, but procedurally that 201 00:11:08,880 --> 00:11:11,480 Speaker 6: we'll see what happens. But if you're an international student 202 00:11:11,520 --> 00:11:14,520 Speaker 6: and you're thinking, well, it's been my dream to come 203 00:11:14,520 --> 00:11:17,040 Speaker 6: to Harvard, should I go. I'm going to do a 204 00:11:17,080 --> 00:11:20,079 Speaker 6: program for two years or an undergrad for four years, 205 00:11:20,120 --> 00:11:24,599 Speaker 6: but maybe I'm not going to complete it. It's introducing 206 00:11:24,679 --> 00:11:29,640 Speaker 6: a huge amount of uncertainty in this calculation for students. 207 00:11:29,160 --> 00:11:31,160 Speaker 4: And what's happening on the ground. I could tell for 208 00:11:31,240 --> 00:11:34,920 Speaker 4: my time at Duke, kids are choosing not to come 209 00:11:34,960 --> 00:11:38,280 Speaker 4: to the US right in the study elsewhere, and some 210 00:11:38,320 --> 00:11:40,640 Speaker 4: of the best and brightest going to other places. And 211 00:11:40,720 --> 00:11:42,760 Speaker 4: what do those students do after they get the degrees? 212 00:11:42,920 --> 00:11:45,080 Speaker 4: They tend to stay there, right, right. 213 00:11:45,000 --> 00:11:47,160 Speaker 2: Because why would you run the risk of going there 214 00:11:47,200 --> 00:11:48,520 Speaker 2: for a year and all of a sudden being asked 215 00:11:48,520 --> 00:11:50,400 Speaker 2: to leave. Why not go some you know, Oxford is 216 00:11:50,440 --> 00:11:51,240 Speaker 2: just nice? Go ahead? 217 00:11:51,400 --> 00:11:51,680 Speaker 4: Why not? 218 00:11:52,120 --> 00:11:52,640 Speaker 6: Exactly? 219 00:11:53,160 --> 00:11:56,079 Speaker 2: Okay, So what happens like what I mean, Harvar's going 220 00:11:56,080 --> 00:11:58,640 Speaker 2: through the courts, But that's going to take forever, right. 221 00:11:59,040 --> 00:12:01,320 Speaker 6: No, I mean, you think about COVID when there was 222 00:12:01,360 --> 00:12:04,800 Speaker 6: a huge amount of uncertainty, people had the option of 223 00:12:04,840 --> 00:12:07,920 Speaker 6: taking a gap year, and the colleges were very accommodating 224 00:12:07,960 --> 00:12:12,040 Speaker 6: in that there's less at some point the pandemic was 225 00:12:12,080 --> 00:12:14,600 Speaker 6: going to end in real life, would return on campus. 226 00:12:15,200 --> 00:12:19,720 Speaker 6: But no, it could have a large impact for universities 227 00:12:19,720 --> 00:12:22,240 Speaker 6: in their bottom lines if they decide to go elsewhere. 228 00:12:23,320 --> 00:12:26,720 Speaker 4: So again, it's I'm guessing every other university in the 229 00:12:26,720 --> 00:12:28,480 Speaker 4: country is just kind of keeping their head down hoping 230 00:12:28,480 --> 00:12:32,520 Speaker 4: they don't get into those sites of President Trump. Is 231 00:12:34,120 --> 00:12:36,160 Speaker 4: there a sense that this is going to have a 232 00:12:36,200 --> 00:12:39,200 Speaker 4: real chilling effect on just higher education in general, in 233 00:12:39,320 --> 00:12:43,040 Speaker 4: terms of investment, in terms of recruiting the best and 234 00:12:43,040 --> 00:12:45,160 Speaker 4: brightest students and faculty and all that kind. 235 00:12:45,040 --> 00:12:47,960 Speaker 6: Of Well, there are a couple of things going on 236 00:12:48,080 --> 00:12:51,840 Speaker 6: within higher education, as Paul. You know, the cost of 237 00:12:51,880 --> 00:12:55,240 Speaker 6: it is something that I don't think any American is 238 00:12:55,280 --> 00:12:58,720 Speaker 6: going to disagree with. It's very high. You know, there's 239 00:12:58,760 --> 00:13:01,320 Speaker 6: a whole system of discount but you know, if you 240 00:13:01,360 --> 00:13:04,280 Speaker 6: look at some of the richest colleges, you know, more 241 00:13:04,320 --> 00:13:07,480 Speaker 6: than half actually pay the full price. Why is a 242 00:13:07,679 --> 00:13:09,959 Speaker 6: year at say Harvard Law School one hundred and twenty 243 00:13:10,000 --> 00:13:15,160 Speaker 6: thousand dollars. Why do students take six years to graduate 244 00:13:15,160 --> 00:13:17,800 Speaker 6: from college. There's a lot of issues within higher education 245 00:13:18,880 --> 00:13:22,480 Speaker 6: that should be addressed, and I think the American public 246 00:13:22,520 --> 00:13:26,520 Speaker 6: would like to see some of those things answered. But 247 00:13:27,120 --> 00:13:30,400 Speaker 6: the system is, you know, there's a lot of federal 248 00:13:30,800 --> 00:13:34,800 Speaker 6: money in this system, so in some ways the federal 249 00:13:34,840 --> 00:13:38,079 Speaker 6: government certainly has a right to ask a lot of questions. 250 00:13:38,400 --> 00:13:38,760 Speaker 5: Yeah. 251 00:13:38,840 --> 00:13:42,160 Speaker 4: Yeah, interesting, it's a tough time spread, oh my gosh. Yeah, 252 00:13:42,320 --> 00:13:44,520 Speaker 4: and they already had some of the just the fact 253 00:13:44,520 --> 00:13:46,920 Speaker 4: that there are fewer fewer candidates. 254 00:13:47,360 --> 00:13:49,320 Speaker 6: You know, because of pure demographics. 255 00:13:49,400 --> 00:13:50,199 Speaker 4: Yeah, demographics. 256 00:13:50,600 --> 00:13:52,440 Speaker 2: And yeah, there was one area where you didn't think 257 00:13:52,480 --> 00:13:55,400 Speaker 2: would be affected by elections like you might have thought education. 258 00:13:55,520 --> 00:13:57,400 Speaker 2: But anyway, all right, Jane, thanks a lot. Jane Lauren 259 00:13:57,400 --> 00:14:00,640 Speaker 2: Boomberg higher education finance reporter on the latest President Trump 260 00:14:00,720 --> 00:14:03,880 Speaker 2: versus Harvard University very much sort of as we walk 261 00:14:03,960 --> 00:14:06,480 Speaker 2: through that issue between the two of them. 262 00:14:07,840 --> 00:14:11,520 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 263 00:14:11,600 --> 00:14:15,000 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 264 00:14:15,080 --> 00:14:18,160 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 265 00:14:18,200 --> 00:14:21,200 Speaker 1: get your podcasts, or watch us live on YouTube. 266 00:14:21,800 --> 00:14:24,720 Speaker 2: Alex Steel alongside paulse we need. This is Bloomberg Intelligence Ready. 267 00:14:24,760 --> 00:14:27,040 Speaker 2: We bring you all the top news and business, economics 268 00:14:27,040 --> 00:14:29,280 Speaker 2: and finance through our lens of our Bloomberg Intelligence folks. 269 00:14:29,280 --> 00:14:31,560 Speaker 2: They cover two thousand companies and one hundred thirty industries 270 00:14:31,840 --> 00:14:34,480 Speaker 2: all around the world. All right, as we have raids 271 00:14:34,520 --> 00:14:37,160 Speaker 2: still treading around that five percent level for the thirty year, 272 00:14:37,200 --> 00:14:40,040 Speaker 2: despite the fact that rates have come down a touch 273 00:14:40,080 --> 00:14:42,480 Speaker 2: over the last two days, it does bring into question 274 00:14:42,720 --> 00:14:46,640 Speaker 2: what happens with commercial real estate. Patrick Wilson, portfolio manager 275 00:14:46,640 --> 00:14:49,640 Speaker 2: of Center Square Investments, joins us. Next, Okay, what's the 276 00:14:49,680 --> 00:14:51,120 Speaker 2: remarket looking like right now? 277 00:14:52,880 --> 00:14:56,680 Speaker 7: Yeah, so it's been very interesting, to say the least 278 00:14:56,680 --> 00:15:01,040 Speaker 7: to start the year. Obviously, trade policy has affected all 279 00:15:01,160 --> 00:15:04,680 Speaker 7: asset classes across the economy, but in terms of reachs, 280 00:15:04,720 --> 00:15:08,760 Speaker 7: you know, we are seeing things like interest rate volatility. Obviously, 281 00:15:08,920 --> 00:15:12,240 Speaker 7: reats are a pretty capital intensive business, so the issuing 282 00:15:12,280 --> 00:15:15,600 Speaker 7: of debt and equity capital has had to be really 283 00:15:15,640 --> 00:15:18,800 Speaker 7: precisely timed. I mean, just this year, we've been from 284 00:15:18,840 --> 00:15:21,160 Speaker 7: a four point eight percent yield on the tenure to 285 00:15:21,400 --> 00:15:24,640 Speaker 7: bottoming at three ninety nine. Depending on where you were 286 00:15:24,680 --> 00:15:27,040 Speaker 7: in and when you were in the queue, it could 287 00:15:27,040 --> 00:15:30,040 Speaker 7: either scuttle or even postpone some of your debt and 288 00:15:30,080 --> 00:15:34,120 Speaker 7: equity issuance on that front. So it's been times where 289 00:15:34,120 --> 00:15:38,520 Speaker 7: we've also seen development starts year to date have also 290 00:15:39,120 --> 00:15:41,440 Speaker 7: slowed on the reach side and commercial real estate as 291 00:15:41,440 --> 00:15:44,280 Speaker 7: a whole, And obviously that relates to the tariffs and 292 00:15:44,640 --> 00:15:47,560 Speaker 7: the thread of cost overruns and whatnot being a little 293 00:15:47,600 --> 00:15:49,720 Speaker 7: bit more difficult to forecast, and so it's kind of 294 00:15:50,120 --> 00:15:52,200 Speaker 7: taking a wait and see approach to the market a 295 00:15:52,240 --> 00:15:52,640 Speaker 7: little bit. 296 00:15:53,480 --> 00:15:55,880 Speaker 4: So in the commercial real estate space, how's that the 297 00:15:55,920 --> 00:15:59,120 Speaker 4: deal flow been. It doesn't seem like I'm reading a 298 00:15:59,160 --> 00:16:01,440 Speaker 4: lot about deals getting done. 299 00:16:02,840 --> 00:16:06,840 Speaker 7: Yeah, it's a great point. There's if you roll back 300 00:16:06,840 --> 00:16:09,280 Speaker 7: the clock, we actually came into this year at very 301 00:16:09,320 --> 00:16:13,800 Speaker 7: healthy levels. That was when the agenda on the Trump 302 00:16:13,840 --> 00:16:16,800 Speaker 7: administration was going to be very pro growth. People were 303 00:16:16,800 --> 00:16:19,000 Speaker 7: a little bit more gung ho and more optimistic about 304 00:16:19,040 --> 00:16:22,800 Speaker 7: our economic outlook. And then as we roll through early 305 00:16:22,840 --> 00:16:27,520 Speaker 7: April and what's occurred since, there's definitely been some trepidation 306 00:16:27,640 --> 00:16:31,360 Speaker 7: coming through. And so we've seen things like property transactions 307 00:16:31,840 --> 00:16:35,920 Speaker 7: by count, so property transaction count and portfolio acquisitions, Larger 308 00:16:36,040 --> 00:16:39,000 Speaker 7: M and A deals certainly get you postponed or in 309 00:16:39,040 --> 00:16:41,480 Speaker 7: some cases possibly have been pulled back as a result 310 00:16:41,560 --> 00:16:43,800 Speaker 7: of just not having that same amount of confidence on 311 00:16:44,040 --> 00:16:45,240 Speaker 7: where the economy is heading. 312 00:16:46,400 --> 00:16:49,720 Speaker 2: What areas in the market can kind of weather this storm, right, 313 00:16:49,760 --> 00:16:51,520 Speaker 2: Like we obviously had the data center build up, but 314 00:16:51,520 --> 00:16:54,600 Speaker 2: even that has been trimming around the edges, right and 315 00:16:54,640 --> 00:16:57,440 Speaker 2: sort of changing the type of investments that's going into 316 00:16:57,480 --> 00:16:59,880 Speaker 2: AI and data centers as well. 317 00:17:01,800 --> 00:17:05,760 Speaker 7: Yeah, so you're speaking more broadly to just areas where 318 00:17:05,800 --> 00:17:06,280 Speaker 7: you could. 319 00:17:06,960 --> 00:17:09,920 Speaker 2: Well typically like the bull case for Readze was data centers, right, 320 00:17:10,320 --> 00:17:12,800 Speaker 2: But then now it does feel like that narrative is 321 00:17:13,280 --> 00:17:15,520 Speaker 2: not changing but shifting a little bit and trimming like 322 00:17:15,560 --> 00:17:17,919 Speaker 2: maybe we're going to go more to the infront stage, 323 00:17:17,920 --> 00:17:20,000 Speaker 2: so you need to build different types of centers in 324 00:17:20,080 --> 00:17:23,440 Speaker 2: different areas versus the huge behemoth data centers. 325 00:17:24,280 --> 00:17:28,320 Speaker 7: Yeah, no, that's definitely fair. You know, you're speaking to 326 00:17:28,359 --> 00:17:32,720 Speaker 7: the transition from training in data centers often far flung 327 00:17:32,760 --> 00:17:36,440 Speaker 7: where power and land was widely available, to now bringing 328 00:17:36,480 --> 00:17:39,520 Speaker 7: it more to the inference phase of the data center buildout, 329 00:17:39,560 --> 00:17:42,639 Speaker 7: which has to be closer to population density. So what 330 00:17:42,680 --> 00:17:45,400 Speaker 7: we see here is that making its way into main 331 00:17:45,440 --> 00:17:48,960 Speaker 7: street America where we start seeing you know, Microsoft Copilot 332 00:17:49,720 --> 00:17:52,719 Speaker 7: being integrated into your workflows and that has to have 333 00:17:52,760 --> 00:17:56,000 Speaker 7: a lower latency. So we're in the crux of kind 334 00:17:56,000 --> 00:17:58,840 Speaker 7: of that transition. We've seen over the last few quarters 335 00:17:58,880 --> 00:18:03,080 Speaker 7: more and more discussion inferencing truly taking place in the 336 00:18:03,160 --> 00:18:05,920 Speaker 7: data center reads. So those would be Digital Realty TICK 337 00:18:06,000 --> 00:18:10,359 Speaker 7: or DLR EQUINIX eqi X, those would be two platforms 338 00:18:10,359 --> 00:18:12,720 Speaker 7: that are starting to speak to where they have a 339 00:18:12,760 --> 00:18:17,679 Speaker 7: greater amount of network, dense collocation and facilities where that 340 00:18:17,800 --> 00:18:20,240 Speaker 7: latency does matter, and you start to see that AI 341 00:18:20,480 --> 00:18:22,920 Speaker 7: inferencing take place. And so that's kind of a new 342 00:18:22,920 --> 00:18:25,080 Speaker 7: phenomenon over the last few quarters. 343 00:18:25,960 --> 00:18:28,760 Speaker 4: So as Michael McKee walks into the studio, I naturally 344 00:18:28,800 --> 00:18:36,679 Speaker 4: think of senior housing package. Wow, that's got to be 345 00:18:36,960 --> 00:18:39,639 Speaker 4: a long term bullish story in your space. 346 00:18:40,680 --> 00:18:44,200 Speaker 7: Yes, it is. At Center Square. We really do have 347 00:18:44,320 --> 00:18:47,600 Speaker 7: a very optimistic view and outlook for the senior housing space. 348 00:18:47,680 --> 00:18:51,600 Speaker 7: So we in the demographics, not just in the US, 349 00:18:51,640 --> 00:18:54,399 Speaker 7: but across the globe, there is the concept of the 350 00:18:54,640 --> 00:18:57,280 Speaker 7: baby boomer generation moving through a bit of you know, 351 00:18:57,320 --> 00:18:59,400 Speaker 7: pigging the python, if you will, as we move through 352 00:19:00,080 --> 00:19:04,080 Speaker 7: that age cohort and they're sitting on a profound amount 353 00:19:04,200 --> 00:19:07,280 Speaker 7: of equity capital in their homes, so the capacity to 354 00:19:07,320 --> 00:19:10,520 Speaker 7: pay is very, very high, and demographically speaking, this kind 355 00:19:10,520 --> 00:19:12,879 Speaker 7: of speaks to that secular demand that we're targeting at 356 00:19:12,880 --> 00:19:15,960 Speaker 7: Center Square right now to kind of buffer any economic weakness. 357 00:19:16,280 --> 00:19:19,159 Speaker 7: What we see is the keger in the eighty plus 358 00:19:19,200 --> 00:19:22,000 Speaker 7: population that we've seen over the last really twenty years 359 00:19:22,040 --> 00:19:24,719 Speaker 7: has been hovering at one one and a half percent, 360 00:19:25,320 --> 00:19:28,600 Speaker 7: and starting about next year, that keger will increase to 361 00:19:28,920 --> 00:19:32,280 Speaker 7: four four and a half percent of that eighty plus population. 362 00:19:32,359 --> 00:19:35,720 Speaker 7: And we don't see, again real estate being a very 363 00:19:35,760 --> 00:19:39,879 Speaker 7: supply and demand driven industry, we don't see really any 364 00:19:39,960 --> 00:19:44,080 Speaker 7: supply on the horizon that will satiate that uptick in demand. 365 00:19:44,160 --> 00:19:47,560 Speaker 7: So combining the capacity to pay along with the really 366 00:19:47,600 --> 00:19:52,399 Speaker 7: really favorable demographic led demand coming through, we see that 367 00:19:52,480 --> 00:19:54,960 Speaker 7: to be very very favorable for senior housing going forward. 368 00:19:55,560 --> 00:19:57,480 Speaker 2: All right, really great, really appreciate it. Come back. We 369 00:19:57,600 --> 00:19:59,960 Speaker 2: love to a continue to update from you. Patrick Wilson 370 00:20:00,480 --> 00:20:03,000 Speaker 2: joining us on the reed market and where there is 371 00:20:03,000 --> 00:20:06,440 Speaker 2: still value. Patrick Wilson, Portfolio manager of Center Square Investment. 372 00:20:07,080 --> 00:20:11,720 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 373 00:20:11,960 --> 00:20:15,440 Speaker 1: and anywhere else you get your podcasts. Listen live each 374 00:20:15,480 --> 00:20:19,200 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 375 00:20:19,359 --> 00:20:22,879 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 376 00:20:23,280 --> 00:20:26,240 Speaker 1: You can also watch us live every weekday on YouTube 377 00:20:26,640 --> 00:20:28,880 Speaker 1: and always on the Bloomberg terminal