1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,000 Speaker 1: us live on YouTube. 6 00:00:27,200 --> 00:00:28,600 Speaker 2: I'm a laddy with us right now. I had of 7 00:00:28,680 --> 00:00:32,479 Speaker 2: active equity in Milwaukee with Allspring Global Investments. All the 8 00:00:32,600 --> 00:00:36,639 Speaker 2: value heritage is strong over the decades as well. I'm 9 00:00:36,640 --> 00:00:39,320 Speaker 2: going to cut to the chase people that like the 10 00:00:39,360 --> 00:00:43,879 Speaker 2: New York Yankees, would kill for the adult responsibility of 11 00:00:43,920 --> 00:00:47,559 Speaker 2: the Milwaukee Brewers. The Brewers are twenty three out of 12 00:00:47,640 --> 00:00:51,760 Speaker 2: thirty in payroll. Their total payroll is less than Juan 13 00:00:51,920 --> 00:00:56,400 Speaker 2: Soto or Aaron Judge make it's like the capital of Vailue. 14 00:00:56,920 --> 00:01:00,800 Speaker 2: How do you get Milwaukee Brewer performance in the stock market. 15 00:01:01,440 --> 00:01:06,080 Speaker 3: I'm you know, that's a great question, Tom, and we're 16 00:01:06,120 --> 00:01:09,080 Speaker 3: working on it. I would say that's exactly where our 17 00:01:09,120 --> 00:01:14,080 Speaker 3: managers are focused is outside of the meg seven and 18 00:01:14,240 --> 00:01:18,160 Speaker 3: probably the popular areas of the market. We are continuing 19 00:01:18,240 --> 00:01:20,000 Speaker 3: to search for where the value lies. 20 00:01:20,360 --> 00:01:21,080 Speaker 2: Give me a sector. 21 00:01:21,360 --> 00:01:24,720 Speaker 3: Yeah, from a sector standpoint, I think you know one 22 00:01:24,720 --> 00:01:29,440 Speaker 3: of the most probably hated sectors has been healthcare. I 23 00:01:29,480 --> 00:01:33,280 Speaker 3: think there are some real attractive areas in diagnostics in 24 00:01:33,319 --> 00:01:37,640 Speaker 3: the tool space. I know there's been regulatory pressures and 25 00:01:37,760 --> 00:01:41,119 Speaker 3: uncertainty and pharma and in healthcare services. 26 00:01:41,319 --> 00:01:44,240 Speaker 4: Those are you know, less favorable areas for us. 27 00:01:44,520 --> 00:01:47,400 Speaker 3: But as we think about change in the future, I 28 00:01:47,440 --> 00:01:50,200 Speaker 3: think the diagnostics space looks pretty attractive. 29 00:01:50,200 --> 00:01:52,560 Speaker 2: I mean, David, I got you and h off the bottom. 30 00:01:52,600 --> 00:01:55,400 Speaker 2: What a train wreck that's been. It's up twenty eight 31 00:01:55,440 --> 00:01:58,320 Speaker 2: it's up twenty eight percent off the bottom. It's not 32 00:01:58,400 --> 00:02:02,880 Speaker 2: even anywhere near breaching resistance and doc talk. 33 00:02:02,760 --> 00:02:04,040 Speaker 4: That I appreciate. That I appreciate. 34 00:02:04,080 --> 00:02:04,920 Speaker 1: That's man. 35 00:02:04,960 --> 00:02:08,120 Speaker 4: How should investors look at or think about valuation you 36 00:02:08,120 --> 00:02:10,000 Speaker 4: mentioned just just a moment ago. What is it an 37 00:02:10,040 --> 00:02:12,239 Speaker 4: indicator of How should they be thinking of it in 38 00:02:12,520 --> 00:02:13,519 Speaker 4: this broader context. 39 00:02:13,600 --> 00:02:17,280 Speaker 3: It's a great question, David, Like, look, when I look 40 00:02:17,320 --> 00:02:21,360 Speaker 3: at just the market averages and valuation, it is not 41 00:02:21,520 --> 00:02:24,480 Speaker 3: lost on me that we are near historic eyes on 42 00:02:24,600 --> 00:02:30,080 Speaker 3: almost any valuation metric. But when you search underneath the 43 00:02:30,120 --> 00:02:34,440 Speaker 3: broader markets and you look at relative value in certain 44 00:02:34,480 --> 00:02:39,280 Speaker 3: sectors and certain areas, even market caps and different regions, 45 00:02:39,720 --> 00:02:43,320 Speaker 3: there still are attractive areas, and that's what we're kind 46 00:02:43,360 --> 00:02:47,160 Speaker 3: of looking for. And you know, it's not necessarily contrarian, 47 00:02:47,720 --> 00:02:52,560 Speaker 3: it's just relative values to the overall market that appear 48 00:02:52,639 --> 00:02:57,760 Speaker 3: to be you know, uh, hanging back and looking attractive 49 00:02:57,800 --> 00:02:58,400 Speaker 3: to us. 50 00:02:58,680 --> 00:03:01,639 Speaker 4: I'm very curious just how you were thinking about the 51 00:03:01,919 --> 00:03:05,120 Speaker 4: policy picture, the background to all of this, and there 52 00:03:05,320 --> 00:03:07,960 Speaker 4: was at the beginning of President Trump's second term a 53 00:03:07,960 --> 00:03:10,480 Speaker 4: lot of anxiety and apprehension about the way this terist 54 00:03:10,520 --> 00:03:13,079 Speaker 4: policy is can affect a lot of these companies. You've 55 00:03:13,080 --> 00:03:16,200 Speaker 4: sifted through earning supports and listened to calls and thought 56 00:03:16,240 --> 00:03:18,800 Speaker 4: through this. Now, with you know, a couple of months hindsight, 57 00:03:19,760 --> 00:03:22,520 Speaker 4: what have we learned about how much weight these tariffs, 58 00:03:22,600 --> 00:03:24,720 Speaker 4: this trade policy is actually having on a lot of 59 00:03:24,760 --> 00:03:25,399 Speaker 4: these companies. 60 00:03:25,800 --> 00:03:28,880 Speaker 3: I think we haven't seen the full effect yet. And 61 00:03:29,160 --> 00:03:31,120 Speaker 3: when you listen to conference calls and when I talk 62 00:03:31,200 --> 00:03:36,520 Speaker 3: to our portfolio managers, it's clear that company managements are 63 00:03:36,560 --> 00:03:38,480 Speaker 3: still trying to figure it out. I think it's been 64 00:03:38,720 --> 00:03:40,080 Speaker 3: less impactful than. 65 00:03:39,960 --> 00:03:41,440 Speaker 5: They had thought it would be. 66 00:03:42,080 --> 00:03:45,280 Speaker 3: But there's a timing issue right where you know, people 67 00:03:45,360 --> 00:03:49,280 Speaker 3: built up inventory ahead of time. That inventory has been 68 00:03:49,320 --> 00:03:52,760 Speaker 3: worked down. There's been pauses and tariffs along the way. 69 00:03:52,880 --> 00:03:56,520 Speaker 3: Consumer behavior has adjusted for it as well, and so 70 00:03:57,080 --> 00:04:00,320 Speaker 3: I think, you know, the jury's still out on how 71 00:04:00,360 --> 00:04:03,360 Speaker 3: much impact they still have, but to your point, it's 72 00:04:03,400 --> 00:04:06,800 Speaker 3: been less concerning than I would have believed it to be. 73 00:04:06,920 --> 00:04:09,200 Speaker 2: How do you respond into Q three here and into 74 00:04:09,240 --> 00:04:11,520 Speaker 2: Q four. I don't need to do the securitious analyst bit, 75 00:04:12,000 --> 00:04:14,520 Speaker 2: but how do you respond to the idea that the 76 00:04:14,520 --> 00:04:18,919 Speaker 2: growthiness stocks will grow the denominator and catch up to 77 00:04:19,000 --> 00:04:22,799 Speaker 2: a value three years out, four years out, five years out. 78 00:04:22,839 --> 00:04:25,960 Speaker 2: How do you respond to our new terminal value of 79 00:04:26,040 --> 00:04:26,680 Speaker 2: Meg seven? 80 00:04:27,279 --> 00:04:35,640 Speaker 4: You know, Tom is a great question, and look, we're 81 00:04:35,640 --> 00:04:36,200 Speaker 4: doing all right. 82 00:04:37,800 --> 00:04:40,080 Speaker 3: You know, it's the million dollar question in some ways 83 00:04:40,200 --> 00:04:45,039 Speaker 3: because in where I've been wrong, in many cases we 84 00:04:45,120 --> 00:04:49,880 Speaker 3: haven't been absent the Meg seven. But I had thought 85 00:04:50,800 --> 00:04:52,920 Speaker 3: for some time that you'd have the rest of the 86 00:04:52,960 --> 00:04:56,160 Speaker 3: market catch up sooner. And the reality is that the 87 00:04:56,200 --> 00:05:00,640 Speaker 3: cash flow production from those Meg seven have been quite good. 88 00:05:01,839 --> 00:05:04,200 Speaker 3: But the law of large numbers does come into play 89 00:05:04,320 --> 00:05:07,159 Speaker 3: at a certain point, and we've seen some hiccups along 90 00:05:07,200 --> 00:05:11,760 Speaker 3: the way capex. The capex cycle plays well. I think 91 00:05:11,800 --> 00:05:15,200 Speaker 3: I saw a statistic too that said sixty percent of 92 00:05:15,240 --> 00:05:18,120 Speaker 3: the revenue stream from the top ten names in the 93 00:05:18,160 --> 00:05:22,760 Speaker 3: SNP come from AI and so they're very AI dependent. 94 00:05:22,880 --> 00:05:26,040 Speaker 2: Okay, you got a stunning track record, and the Allspring 95 00:05:26,080 --> 00:05:28,880 Speaker 2: Global Dividend Fund and at the top is in video 96 00:05:28,920 --> 00:05:33,400 Speaker 2: Microsoft broadcame. The usual victims is, well you got you 97 00:05:33,400 --> 00:05:35,400 Speaker 2: own a credit down below it's a global fund and 98 00:05:35,520 --> 00:05:39,600 Speaker 2: Italian Bank? Are you levining in the m Meletti stacks 99 00:05:39,680 --> 00:05:41,880 Speaker 2: into MEGS seven portfolios? 100 00:05:42,240 --> 00:05:44,160 Speaker 3: I think that's exactly what you have to do. 101 00:05:44,240 --> 00:05:46,000 Speaker 4: It's about risk versus reward. 102 00:05:46,200 --> 00:05:49,240 Speaker 3: And while you don't want to be absent some of 103 00:05:49,240 --> 00:05:52,920 Speaker 3: those names that do have strong fundamentals, including the Meg seven, 104 00:05:53,400 --> 00:05:57,479 Speaker 3: you do have to diversify the risk, especially at this 105 00:05:57,680 --> 00:06:01,280 Speaker 3: point in the market. The market, you know, is not 106 00:06:01,520 --> 00:06:06,080 Speaker 3: priced or sorry, is price for perfection in some ways, 107 00:06:06,680 --> 00:06:09,920 Speaker 3: and you know you want to diversify your risk and 108 00:06:10,240 --> 00:06:12,279 Speaker 3: you have to do that. Outside of those names. 109 00:06:12,440 --> 00:06:15,080 Speaker 4: Tom talks about levining, and I'm curious just how much 110 00:06:16,040 --> 00:06:20,560 Speaker 4: dollar weakness is affecting the overall picture here, especially when 111 00:06:20,560 --> 00:06:22,880 Speaker 4: you look at stocks like Tom brings up this Italian bank. 112 00:06:23,400 --> 00:06:26,600 Speaker 4: Is it making stocks like that more appealing less appealing? 113 00:06:26,640 --> 00:06:26,800 Speaker 2: Haws? 114 00:06:26,800 --> 00:06:29,840 Speaker 4: It shapen your kind of wider aperture of investment now. 115 00:06:30,520 --> 00:06:34,600 Speaker 3: You know, for certain, dollar weakness has been a tailwind 116 00:06:34,800 --> 00:06:38,640 Speaker 3: for international and EM stocks, and it is a theme 117 00:06:38,760 --> 00:06:42,440 Speaker 3: that we stressed late last year headed into this year 118 00:06:42,440 --> 00:06:45,080 Speaker 3: that we believed that that would be the case, just 119 00:06:45,200 --> 00:06:49,479 Speaker 3: given tariffs and other things that we could see coming. 120 00:06:50,600 --> 00:06:54,000 Speaker 3: I don't think it's over. You could have a balance 121 00:06:54,000 --> 00:06:57,640 Speaker 3: in the dollar. I would expect that to happen. But 122 00:06:57,920 --> 00:07:01,719 Speaker 3: I do think the you know, the peak in terms 123 00:07:01,720 --> 00:07:05,240 Speaker 3: of where the dollar has been is probably behind us, 124 00:07:05,520 --> 00:07:08,120 Speaker 3: and you're going to see some of that tailwind continue 125 00:07:08,160 --> 00:07:10,120 Speaker 3: for the EM in international space. 126 00:07:10,240 --> 00:07:12,840 Speaker 2: And a Luddie thank us so much. Ahead of Milwaukee 127 00:07:12,840 --> 00:07:17,400 Speaker 2: Brewer Baseball, Active Equity, all Spring Global, thank you so much. 128 00:07:17,760 --> 00:07:21,960 Speaker 2: Stay with us. More from Bloomberg Surveillance coming up after this. 129 00:07:29,200 --> 00:07:32,800 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 130 00:07:32,880 --> 00:07:36,000 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 131 00:07:36,120 --> 00:07:39,760 Speaker 1: Applecarplay and Android Auto with the Bloomberg Business app, or 132 00:07:39,920 --> 00:07:41,440 Speaker 1: watch us live on YouTube. 133 00:07:41,560 --> 00:07:45,640 Speaker 2: Right now. It's important. Nancy Tangler talk talk talk people do. 134 00:07:46,200 --> 00:07:48,960 Speaker 2: Nancy Tangler does it. Laugh for Tangler where she puts 135 00:07:49,040 --> 00:07:52,400 Speaker 2: money to where you have the most twisted portfolio in 136 00:07:52,400 --> 00:07:57,000 Speaker 2: your ETF up twenty four percent. You're getting nastagg response 137 00:07:57,240 --> 00:08:00,000 Speaker 2: from a much more cautious portfolio. You have the tech 138 00:08:00,120 --> 00:08:04,840 Speaker 2: company JP Morgan, the tech company ABV, the tech company RTX. 139 00:08:05,000 --> 00:08:08,040 Speaker 2: Here's one home dpot it's you've got the room. We 140 00:08:08,120 --> 00:08:11,760 Speaker 2: got the strangest portfolio going. How are you getting the 141 00:08:11,800 --> 00:08:16,840 Speaker 2: results you're getting in tgl R If you don't own Nvidia. 142 00:08:17,320 --> 00:08:19,559 Speaker 5: Thank you? That is this so kind? 143 00:08:19,880 --> 00:08:21,040 Speaker 2: No, but I'm serious. 144 00:08:21,480 --> 00:08:24,560 Speaker 6: Well, I own the poor man's Nvidia tom and that's Broadcom, 145 00:08:24,720 --> 00:08:26,400 Speaker 6: and that's that's been a workhorse. 146 00:08:26,560 --> 00:08:28,720 Speaker 2: So that's a secret is by the poor man's whatever. 147 00:08:28,920 --> 00:08:33,320 Speaker 6: Yeah, and then Oracle the poor man's Hyperscaler. So we're 148 00:08:33,360 --> 00:08:35,840 Speaker 6: focused on dividend growth in that portfolio. We have a 149 00:08:35,880 --> 00:08:38,800 Speaker 6: growth portfolio that owns all the darlings like Nvidia, paths here, 150 00:08:38,840 --> 00:08:41,960 Speaker 6: blah blah. But this strategy is a workhorse, and it's 151 00:08:42,040 --> 00:08:45,080 Speaker 6: over the last ten years. It's just kind of thirteen 152 00:08:45,120 --> 00:08:47,040 Speaker 6: and a half percent annualized with. 153 00:08:47,040 --> 00:08:48,080 Speaker 5: Three bear markets. 154 00:08:48,520 --> 00:08:50,920 Speaker 6: So I learned it from the great Tony Spare when 155 00:08:51,200 --> 00:08:53,320 Speaker 6: Art Laffer owned a piece of our company, and we 156 00:08:53,320 --> 00:08:56,080 Speaker 6: we just focus on valuation and then we do the 157 00:08:56,120 --> 00:08:57,440 Speaker 6: work the research. 158 00:08:57,800 --> 00:09:00,920 Speaker 4: You mentioned Oracle today a big day for announcing earnings 159 00:09:00,920 --> 00:09:02,760 Speaker 4: after the bell. What are you looking for there? We 160 00:09:02,760 --> 00:09:05,960 Speaker 4: were talking earlier just about the need for cloud computing 161 00:09:06,000 --> 00:09:10,040 Speaker 4: because of AI, Lisa giving us a brief on a 162 00:09:10,120 --> 00:09:12,720 Speaker 4: Dutch company that's doing business now with with with Microsoft. 163 00:09:13,160 --> 00:09:15,680 Speaker 4: What does Oracle have to prove when it has that 164 00:09:15,760 --> 00:09:16,280 Speaker 4: call today? 165 00:09:17,160 --> 00:09:20,839 Speaker 6: They need to continue the sales growth projector hitting the numbers. Yeah, 166 00:09:20,880 --> 00:09:23,400 Speaker 6: and they have a huge backlog, but the company is 167 00:09:23,720 --> 00:09:27,600 Speaker 6: pretty spotty on hitting their numbers. So if we get 168 00:09:27,600 --> 00:09:29,520 Speaker 6: a sell off, we've been trimming it back because it's 169 00:09:29,559 --> 00:09:31,640 Speaker 6: become a huge part of our portfolio. If we get 170 00:09:31,679 --> 00:09:34,280 Speaker 6: a sell off, we may step back in. But you know, 171 00:09:34,320 --> 00:09:38,480 Speaker 6: it's it's it's the company that everyone loves to hate. 172 00:09:38,520 --> 00:09:41,760 Speaker 6: And the CEO or now the chairman that everyone loves 173 00:09:41,760 --> 00:09:43,480 Speaker 6: to hate. He lives where I live up in Lake 174 00:09:43,520 --> 00:09:48,080 Speaker 6: Tahoe's he's something else. Second wealthiest man in the world. 175 00:09:48,320 --> 00:09:51,120 Speaker 4: He's doing it right, Tom between this portfolio and the 176 00:09:51,160 --> 00:09:57,560 Speaker 4: Tahoe residents, I feel, continued David. You mentioned the history 177 00:09:58,040 --> 00:09:59,680 Speaker 4: the bear markets that we've had. Here we are in 178 00:09:59,679 --> 00:10:01,960 Speaker 4: this book, and I wonder where you think we are 179 00:10:02,480 --> 00:10:05,440 Speaker 4: in that as you survey this market today, as we 180 00:10:05,720 --> 00:10:07,480 Speaker 4: note day in and day out, the records that we 181 00:10:07,559 --> 00:10:10,640 Speaker 4: keep coming close to or hitting, your sense of how 182 00:10:10,679 --> 00:10:12,880 Speaker 4: long that's likely to continue, and the indicators that you're 183 00:10:12,920 --> 00:10:15,200 Speaker 4: looking to that we'll give you some sense of that. 184 00:10:15,880 --> 00:10:18,120 Speaker 6: Yeah, So, David, I've drawn the analogy to the nineties 185 00:10:18,120 --> 00:10:21,000 Speaker 6: when I was not just alive, but I was managing portfolios, 186 00:10:21,400 --> 00:10:23,480 Speaker 6: and there are a lot of similarities. We had high 187 00:10:23,520 --> 00:10:26,640 Speaker 6: inflation three percent, we had a higher ten year at 188 00:10:26,679 --> 00:10:28,960 Speaker 6: seven to eight, and FED funds are eight five to six. 189 00:10:29,320 --> 00:10:32,240 Speaker 6: So what we know is when productivity is driving growth, 190 00:10:32,679 --> 00:10:35,760 Speaker 6: you can sustain robust stock price performance for some time. 191 00:10:36,200 --> 00:10:40,360 Speaker 6: We're just young in this new bull market. The nineties 192 00:10:40,400 --> 00:10:42,600 Speaker 6: had one hundred and twenty month expansion with over four 193 00:10:42,720 --> 00:10:45,640 Speaker 6: hundred percent. But what's important to me is that we 194 00:10:45,679 --> 00:10:48,440 Speaker 6: saw better than expected revenue last quarter. So the earnings 195 00:10:48,440 --> 00:10:52,040 Speaker 6: were great, beat estimates, but revenue beat estimates. And then 196 00:10:52,080 --> 00:10:55,559 Speaker 6: we're seeing cash flow free cash flow corporations at four 197 00:10:55,600 --> 00:10:58,880 Speaker 6: trillion dollars. That's a historic eye margins at historic eyes. 198 00:10:59,160 --> 00:11:01,760 Speaker 6: And then we've got the tailwind of the one big 199 00:11:01,800 --> 00:11:04,720 Speaker 6: beautiful bill, we call it the Obabba bill at Laffer 200 00:11:04,760 --> 00:11:07,240 Speaker 6: Tangler because I feel dumb calling it the one big 201 00:11:07,280 --> 00:11:11,480 Speaker 6: beautiful but the tailwinds are huge for corporate cash float, 202 00:11:11,679 --> 00:11:14,680 Speaker 6: tax savings, cash, and no one's talking about that. 203 00:11:14,720 --> 00:11:16,800 Speaker 2: I want to get in trouble. I've had some wonderful 204 00:11:16,840 --> 00:11:21,520 Speaker 2: conversations with Art Laugher. I think he's been criticized in 205 00:11:21,559 --> 00:11:26,600 Speaker 2: an uninformed way. We've talked about the tangential dynamics first 206 00:11:26,600 --> 00:11:29,840 Speaker 2: and second derivative, the acclaimed Laugher curve in that what 207 00:11:29,920 --> 00:11:34,400 Speaker 2: does Laffer and what does Tangler think of Trump fiscal 208 00:11:34,559 --> 00:11:35,760 Speaker 2: and monetary theory. 209 00:11:37,440 --> 00:11:43,760 Speaker 6: So I think doctor Laffer is always diplomatic, and as 210 00:11:43,800 --> 00:11:48,839 Speaker 6: a former member of not just Reagan but Nixon and 211 00:11:49,880 --> 00:11:53,439 Speaker 6: an advisor to Trump one point zero, I think they're 212 00:11:53,440 --> 00:11:57,760 Speaker 6: doing a lot of things correctly. But I hate this 213 00:11:58,040 --> 00:12:01,880 Speaker 6: takeover of private sector company and doctor Laffer's come out 214 00:12:01,920 --> 00:12:03,880 Speaker 6: and said, well, if anyone can do it, it's President Trump. 215 00:12:03,920 --> 00:12:05,880 Speaker 6: And that may well be, but I think it's bad 216 00:12:05,920 --> 00:12:10,040 Speaker 6: precedent and I think they're overstepping the executive. 217 00:12:10,040 --> 00:12:12,360 Speaker 2: Then respond to the gloom crew that says there'll be 218 00:12:12,400 --> 00:12:16,160 Speaker 2: a jump condition where the smooth curves of our equity 219 00:12:16,200 --> 00:12:21,160 Speaker 2: bolishness break. How do you invest given the shock potential 220 00:12:21,800 --> 00:12:23,800 Speaker 2: of a Trump policy gone wrong. 221 00:12:24,480 --> 00:12:26,160 Speaker 5: Well, we'll do what we did in April. 222 00:12:26,480 --> 00:12:27,240 Speaker 2: We'll buy more. 223 00:12:27,559 --> 00:12:31,160 Speaker 6: So were you know we were stepping in on April third, 224 00:12:31,240 --> 00:12:35,400 Speaker 6: April first, and March. Because you see these dislocations and 225 00:12:35,440 --> 00:12:38,079 Speaker 6: you say it is the AI trade over, it isn't. 226 00:12:38,160 --> 00:12:40,160 Speaker 6: I've heard so many people say, oh, well there's that 227 00:12:40,320 --> 00:12:41,160 Speaker 6: MIT study. 228 00:12:41,880 --> 00:12:43,280 Speaker 5: Nobody's making money with AI. 229 00:12:43,520 --> 00:12:45,440 Speaker 6: That is not what we're hearing from the companies on 230 00:12:45,480 --> 00:12:49,360 Speaker 6: the conference calls. We're seeing margin expansion, We're seeing less hiring, 231 00:12:49,559 --> 00:12:53,960 Speaker 6: which I think is a paradigm shift that is distorting. 232 00:12:53,440 --> 00:12:55,520 Speaker 5: Things like the ism manufacturing numbers. 233 00:12:55,679 --> 00:12:57,040 Speaker 2: David, get one more in here. But I want to 234 00:12:57,040 --> 00:12:59,280 Speaker 2: make this clear, folks. People look at Nancy Tangler and 235 00:12:59,280 --> 00:13:02,640 Speaker 2: they're like, she's out at Lake Tihoe like a starter home. 236 00:13:02,679 --> 00:13:07,080 Speaker 2: Your homestead is like twelve million dollars and she's retired. 237 00:13:07,280 --> 00:13:09,680 Speaker 2: How many hours a day are you working? Me? I 238 00:13:09,760 --> 00:13:11,199 Speaker 2: work about twelve to fourteen. 239 00:13:12,080 --> 00:13:14,920 Speaker 6: She's as nuts as she was, or she was, or 240 00:13:16,160 --> 00:13:19,959 Speaker 6: he's nuts. Eighty five says he's going to live to 241 00:13:19,960 --> 00:13:21,000 Speaker 6: one hundred and thirty. 242 00:13:21,800 --> 00:13:23,800 Speaker 4: I can't resist going back to something you said, which 243 00:13:23,840 --> 00:13:25,800 Speaker 4: is that you are wary of or you don't like 244 00:13:25,880 --> 00:13:27,520 Speaker 4: the fact that the government is getting involved with these 245 00:13:27,520 --> 00:13:29,840 Speaker 4: private companies. What does it mean as you sort of 246 00:13:29,840 --> 00:13:32,400 Speaker 4: think through the ramifications of this, If you have the 247 00:13:32,480 --> 00:13:35,160 Speaker 4: US government taking a stake in, say in Intella, what 248 00:13:35,200 --> 00:13:38,600 Speaker 4: does that do to your or an investor's appetite for 249 00:13:38,640 --> 00:13:40,720 Speaker 4: that company? Does it provide a sense of security that 250 00:13:40,720 --> 00:13:44,000 Speaker 4: the US government is getting involved? When you hear doctor 251 00:13:44,040 --> 00:13:47,559 Speaker 4: Hassett saying this could happen with other companies and other sectors, 252 00:13:48,160 --> 00:13:50,000 Speaker 4: how does it sort of shape your outlook knowing that 253 00:13:50,040 --> 00:13:51,840 Speaker 4: this might be something that would be more regular than 254 00:13:51,960 --> 00:13:54,319 Speaker 4: certainly it has been before you got to study history. 255 00:13:54,520 --> 00:13:56,040 Speaker 5: I mean, I was, I was alive. 256 00:13:56,120 --> 00:13:58,520 Speaker 6: I wasn't managing money when the Chrysler deal where we 257 00:13:58,559 --> 00:14:00,439 Speaker 6: bailed them out for a billion and a half Jimmy 258 00:14:00,480 --> 00:14:02,920 Speaker 6: Carter nineteen seventy nine. Then we had to bail them 259 00:14:02,920 --> 00:14:05,600 Speaker 6: out again, and that was in two thousand and eight, 260 00:14:05,640 --> 00:14:07,400 Speaker 6: two thousand and nine for twelve and a half minens. 261 00:14:07,559 --> 00:14:10,280 Speaker 6: It doesn't work and there's nothing in it for the taxpayer. 262 00:14:10,360 --> 00:14:13,440 Speaker 6: So what happened to Intel shareholders? They got diluted. The 263 00:14:13,480 --> 00:14:17,400 Speaker 6: government also has warrants, so that could further deleute them 264 00:14:17,760 --> 00:14:18,760 Speaker 6: and they have no business. 265 00:14:18,760 --> 00:14:19,640 Speaker 5: They're not good at it. 266 00:14:20,120 --> 00:14:23,280 Speaker 6: Obama Clindra, I mean, I don't know what else to say, 267 00:14:23,360 --> 00:14:26,440 Speaker 6: but bad, bad policy, very bad answer. 268 00:14:26,480 --> 00:14:28,800 Speaker 2: Don't be a stranger. Nancy Tangler. Thanks so I can 269 00:14:28,840 --> 00:14:32,000 Speaker 2: see the remote. She'll do a remote like in January, 270 00:14:32,040 --> 00:14:33,920 Speaker 2: will be out in her Dad love that before we 271 00:14:34,000 --> 00:14:37,320 Speaker 2: too below zero. Nancy Tanglar, thank you so much. Huge 272 00:14:37,360 --> 00:14:41,720 Speaker 2: performance out of some of her ETF portfolio's. Check that out. 273 00:14:41,840 --> 00:14:46,000 Speaker 2: Stay with us. More from Bloomberg Surveillance coming up after this. 274 00:14:53,240 --> 00:14:56,840 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch US live 275 00:14:56,920 --> 00:14:59,880 Speaker 1: weekday afternoons from seven to ten am e's durn Listen 276 00:15:00,040 --> 00:15:03,560 Speaker 1: on Applecarplay and Android Otto with the Bloomberg Business app, 277 00:15:03,720 --> 00:15:05,440 Speaker 1: or watch US live on YouTube. 278 00:15:05,680 --> 00:15:08,880 Speaker 2: Joining us from Trinity the PhD in economics, Colin, how 279 00:15:08,960 --> 00:15:12,440 Speaker 2: would you like to chime in, sir? On US economic data? 280 00:15:12,680 --> 00:15:16,200 Speaker 7: We avoid the US is at a very instant juncture. 281 00:15:16,200 --> 00:15:20,280 Speaker 8: You obviously have an increase in inflation pressures, the signs 282 00:15:20,280 --> 00:15:22,520 Speaker 8: of the labor market is weakening. So this is a 283 00:15:23,000 --> 00:15:25,920 Speaker 8: uncomfortable moment for policymakers. I suspect We're welcome you. 284 00:15:25,960 --> 00:15:28,640 Speaker 2: From Allied Irish Bank. Colin Hunt with us here and 285 00:15:28,680 --> 00:15:31,560 Speaker 2: of course with all of his trinity economics. Let's first 286 00:15:31,600 --> 00:15:35,000 Speaker 2: identify AIB right now. Is is safe to say you're 287 00:15:35,080 --> 00:15:38,120 Speaker 2: owned by the Irish government. How do you answer that question? 288 00:15:39,200 --> 00:15:40,440 Speaker 2: We were owned by the Irish government. 289 00:15:40,520 --> 00:15:44,320 Speaker 8: The Irish government came to our rescue post to the GFC, 290 00:15:45,000 --> 00:15:47,720 Speaker 8: and for a period of about fifteen years, the Irish 291 00:15:47,720 --> 00:15:50,720 Speaker 8: government had a presence on our share register. And in 292 00:15:51,000 --> 00:15:55,600 Speaker 8: June just gone, we marked the Irish government's exit. And 293 00:15:55,720 --> 00:15:59,960 Speaker 8: once again the organization is one hundred percent privately owned. 294 00:16:00,400 --> 00:16:02,360 Speaker 8: And in fact one of the reasons that I'm here 295 00:16:02,640 --> 00:16:06,680 Speaker 8: this week with the Barclay's Financials Conference yesterday and meeting 296 00:16:06,680 --> 00:16:09,320 Speaker 8: a lot of our investors. Most of our very significant 297 00:16:09,360 --> 00:16:11,280 Speaker 8: investors are based here in the United States. 298 00:16:11,280 --> 00:16:13,240 Speaker 2: Well, this is very important. We'd like to have some 299 00:16:13,320 --> 00:16:16,600 Speaker 2: news here. Jennifer Dugan's waiting in Dublin for this. Can 300 00:16:16,640 --> 00:16:19,160 Speaker 2: we suggest that there would be some form of public 301 00:16:19,240 --> 00:16:22,840 Speaker 2: offering of shares of Allied Irish Bank in the coming 302 00:16:22,920 --> 00:16:25,600 Speaker 2: weeks quarters Can you make an announcement today? 303 00:16:25,800 --> 00:16:28,360 Speaker 8: There's certainly no announcement to be made because we are 304 00:16:28,360 --> 00:16:31,560 Speaker 8: a we're one hundred percent free floating at this stage. 305 00:16:31,600 --> 00:16:36,120 Speaker 8: So the government has exited the register. They came to 306 00:16:36,160 --> 00:16:39,040 Speaker 8: our rescue with about twenty almost twenty one billion euro. 307 00:16:39,360 --> 00:16:42,240 Speaker 8: We repaid that and now we are one hundred percent 308 00:16:42,280 --> 00:16:42,880 Speaker 8: privately owned. 309 00:16:42,920 --> 00:16:45,800 Speaker 4: This started well, it started very well, doctor, How do 310 00:16:45,840 --> 00:16:48,200 Speaker 4: you give us some perspective ons of the appetite for 311 00:16:48,440 --> 00:16:51,080 Speaker 4: cross border transactions at this point in time. So here 312 00:16:51,080 --> 00:16:53,520 Speaker 4: we're living this day in day out, the ambiguity or 313 00:16:53,600 --> 00:16:58,360 Speaker 4: uncertainty about trade policy and economic policy. More broadly, what 314 00:16:58,440 --> 00:17:01,160 Speaker 4: do companies domiciled outside of the United States think of 315 00:17:01,200 --> 00:17:03,720 Speaker 4: this environment and how's that affecting business as you see it? 316 00:17:04,800 --> 00:17:06,840 Speaker 8: Well, I suppose the environment we had a period of 317 00:17:06,880 --> 00:17:10,280 Speaker 8: uncertainty earlier on this year, very very warmly welcomed the 318 00:17:10,280 --> 00:17:12,479 Speaker 8: fact that we have come to an agreement between President 319 00:17:12,520 --> 00:17:16,040 Speaker 8: Trump and President vonder lyin which was announced in Scotland 320 00:17:16,080 --> 00:17:19,000 Speaker 8: a few weeks ago. Businesses, you know, hates uncertainty. We 321 00:17:19,119 --> 00:17:20,120 Speaker 8: have certainty. 322 00:17:20,160 --> 00:17:20,440 Speaker 7: Now. 323 00:17:21,119 --> 00:17:24,000 Speaker 8: Would you pick a twer level of fifteen percent? You 324 00:17:24,000 --> 00:17:25,679 Speaker 8: wouldn't necessarily, but that's the reality. 325 00:17:25,720 --> 00:17:26,439 Speaker 7: That's what we're dealing with. 326 00:17:26,440 --> 00:17:30,280 Speaker 8: And at least the uncertainty now has been has been eliminated. 327 00:17:31,000 --> 00:17:33,240 Speaker 8: The United States is a hugely important market for Arland, 328 00:17:34,040 --> 00:17:37,560 Speaker 8: not only as a source for our exports, but also 329 00:17:37,920 --> 00:17:41,399 Speaker 8: as a place where Irish businesses invests. So typically Irish 330 00:17:41,400 --> 00:17:46,120 Speaker 8: businesses when they outgrow a market that is growing quite 331 00:17:46,200 --> 00:17:48,560 Speaker 8: robustly but still quite small, they typically go to the 332 00:17:48,640 --> 00:17:51,359 Speaker 8: UK first and then they go to the United States. 333 00:17:51,760 --> 00:17:55,479 Speaker 8: So that was the path we followed. We've been here 334 00:17:55,520 --> 00:17:59,359 Speaker 8: in New York for fifty years this year and we 335 00:17:59,440 --> 00:18:02,000 Speaker 8: still a way through the crisis we maintained and all 336 00:18:02,040 --> 00:18:04,399 Speaker 8: the way through our period of government ownership, we maintained 337 00:18:04,440 --> 00:18:05,719 Speaker 8: our physical presidence here. 338 00:18:06,280 --> 00:18:07,840 Speaker 7: It's a really important. 339 00:18:07,440 --> 00:18:09,520 Speaker 8: Place from us from an investment perspective, but it's also 340 00:18:09,520 --> 00:18:13,359 Speaker 8: a really important country for deployment of our loan book. 341 00:18:13,480 --> 00:18:16,000 Speaker 8: And of course other Irish businesses followed us as well, 342 00:18:16,119 --> 00:18:18,960 Speaker 8: So you have the likes of c RH, the likes 343 00:18:18,960 --> 00:18:23,600 Speaker 8: of Smurfoot, WestRock, the likes of Kerry Group, all having very. 344 00:18:23,440 --> 00:18:25,400 Speaker 7: Significant exposures to the United States. 345 00:18:25,640 --> 00:18:28,440 Speaker 8: Notwithstanding the uncertainty we had earlier this year, it's still 346 00:18:28,520 --> 00:18:32,000 Speaker 8: a hugely important market and it's a hugely important provider 347 00:18:32,040 --> 00:18:32,800 Speaker 8: of external capital. 348 00:18:33,160 --> 00:18:36,760 Speaker 4: How is the Irish economy doing today when you look 349 00:18:36,800 --> 00:18:39,840 Speaker 4: at the housing market, commercial investments through what's the relative 350 00:18:39,840 --> 00:18:42,520 Speaker 4: health of the Irish economy in twenty twenty five. 351 00:18:42,520 --> 00:18:46,120 Speaker 2: College is doing quite well. Like Irish GDP numbers. 352 00:18:46,680 --> 00:18:50,200 Speaker 8: Because of the scale of the international sector in the 353 00:18:50,240 --> 00:18:53,520 Speaker 8: economy can be wild and volatile, so we tend not 354 00:18:53,560 --> 00:18:55,840 Speaker 8: to look at GDP. We tend to look at modified 355 00:18:55,880 --> 00:18:58,440 Speaker 8: domestic demand. So this year we're talking about growth summer 356 00:18:58,480 --> 00:19:00,840 Speaker 8: of the order about two point three two five percent 357 00:19:00,880 --> 00:19:05,840 Speaker 8: in real terms, unemployment about four percent, and total employment 358 00:19:06,040 --> 00:19:08,159 Speaker 8: in the state now running a two point eight million. 359 00:19:08,520 --> 00:19:10,800 Speaker 8: That sounds small, but when I was in college all 360 00:19:10,880 --> 00:19:14,000 Speaker 8: those many many years ago, thirty five years ago, so we. 361 00:19:13,920 --> 00:19:15,400 Speaker 7: Had one million people at work. 362 00:19:15,640 --> 00:19:19,000 Speaker 8: So this is an economy usherly transformed right and now 363 00:19:19,040 --> 00:19:20,160 Speaker 8: one of the best of forming in Europe. 364 00:19:20,200 --> 00:19:22,440 Speaker 2: Colin hunt with us with the aled Irish Bank, and 365 00:19:22,520 --> 00:19:25,920 Speaker 2: we continue. We're commercial free with you across America, in 366 00:19:25,960 --> 00:19:29,160 Speaker 2: Ireland and around the world. Here is through this important 367 00:19:29,160 --> 00:19:33,480 Speaker 2: economic report. In fourteen minutes ed Ludlow's schedule to be 368 00:19:33,560 --> 00:19:36,480 Speaker 2: with us here in a bit on the important Apple meetings. 369 00:19:36,600 --> 00:19:38,840 Speaker 2: I was talking with Olivia Fletcher. She calls me up. 370 00:19:38,840 --> 00:19:41,720 Speaker 2: Olivia calls Kay, she just did I wait you It's 371 00:19:41,800 --> 00:19:46,040 Speaker 2: three am. I'm like Olivia tiny hey, Colin, I got 372 00:19:46,080 --> 00:19:49,359 Speaker 2: like an hour conversation with you, and I think frankly 373 00:19:49,440 --> 00:19:52,480 Speaker 2: President Trump could have an hour conversation with you. Let's 374 00:19:52,520 --> 00:19:58,119 Speaker 2: talk about this strange corporate boom in Dublin and the 375 00:19:58,200 --> 00:20:02,880 Speaker 2: fact that people sophisticated Blackstone are literally giving the keys 376 00:20:02,960 --> 00:20:06,680 Speaker 2: back and office buildings. What is the state of commercial 377 00:20:06,720 --> 00:20:11,280 Speaker 2: real estate and, as you say, a completely rebuilt Irish acanemy. 378 00:20:11,760 --> 00:20:15,480 Speaker 8: So the commercial real estate market had a very good run, 379 00:20:15,880 --> 00:20:18,560 Speaker 8: and then once we had the turn in the official 380 00:20:18,640 --> 00:20:21,160 Speaker 8: rate cycle, you began to see valuations coming back. 381 00:20:21,440 --> 00:20:22,000 Speaker 2: Quite a bit. 382 00:20:22,880 --> 00:20:25,800 Speaker 8: Of course, you had the COVID impact and the impact 383 00:20:25,840 --> 00:20:30,640 Speaker 8: on commercial valuations because of working from home that would 384 00:20:30,680 --> 00:20:33,160 Speaker 8: have added it led to a dumbward adjustment as well. 385 00:20:33,200 --> 00:20:35,520 Speaker 8: But we have seen quite a different step back in 386 00:20:35,600 --> 00:20:38,439 Speaker 8: valuation market clearing. I think the market is clearing, and 387 00:20:38,440 --> 00:20:42,520 Speaker 8: certainly we're beginning to see signs of people of higher 388 00:20:42,560 --> 00:20:45,600 Speaker 8: degrees of interest in the market. There are trades taking place. 389 00:20:46,400 --> 00:20:49,719 Speaker 8: The valuation adjustment seems to be behind us. If anything, 390 00:20:49,720 --> 00:20:51,480 Speaker 8: I would have expected that to happen a little bit 391 00:20:51,520 --> 00:20:54,320 Speaker 8: earlier because of the turn in the rate cycle. 392 00:20:54,400 --> 00:20:56,000 Speaker 7: But I do think we are at the bottom of 393 00:20:56,000 --> 00:20:56,639 Speaker 7: the cycling through it. 394 00:20:56,640 --> 00:20:59,200 Speaker 4: A related question, perhaps closer to home. I'm wondering what 395 00:20:59,240 --> 00:21:01,520 Speaker 4: your office is are are looking like. I remember reading 396 00:21:02,000 --> 00:21:04,200 Speaker 4: you're trying to get employees back three days a week. 397 00:21:04,520 --> 00:21:06,120 Speaker 4: Some pushback to that, as I know, there was here 398 00:21:06,119 --> 00:21:08,320 Speaker 4: in the States with a number of financial institutions and 399 00:21:08,640 --> 00:21:10,639 Speaker 4: other businesses. Here we are at the end of the 400 00:21:10,680 --> 00:21:13,600 Speaker 4: summer looking to the fall. Where does that process stand? 401 00:21:13,600 --> 00:21:15,399 Speaker 4: Were you surprised by the reaction? Folks didn't want to 402 00:21:15,440 --> 00:21:16,000 Speaker 4: come in three days? 403 00:21:16,000 --> 00:21:17,359 Speaker 2: So we want to hear this question. 404 00:21:18,160 --> 00:21:20,080 Speaker 7: I will answer there's no question. I don't want to 405 00:21:20,080 --> 00:21:21,679 Speaker 7: hear it. I'm more than comfortable in answering that. 406 00:21:22,000 --> 00:21:22,760 Speaker 2: Look we had. 407 00:21:23,200 --> 00:21:26,359 Speaker 8: We have a situation where we have effectively three types 408 00:21:26,400 --> 00:21:30,000 Speaker 8: of work patterns inside in the organization. Our branch staff 409 00:21:30,080 --> 00:21:32,600 Speaker 8: are in five days a week. Our call center staff 410 00:21:32,640 --> 00:21:34,679 Speaker 8: are in five days a week. Our security people in 411 00:21:34,720 --> 00:21:37,200 Speaker 8: five days a week. We have some people who work 412 00:21:37,240 --> 00:21:39,600 Speaker 8: from home two days a week. We currently have a 413 00:21:39,600 --> 00:21:41,520 Speaker 8: group of people who work from home three days a week, 414 00:21:41,640 --> 00:21:45,040 Speaker 8: and we're asking that group of our colleagues to come 415 00:21:45,080 --> 00:21:48,159 Speaker 8: into the office an additional day. I think it is 416 00:21:48,280 --> 00:21:50,720 Speaker 8: really good for culture. I think it's good for learning 417 00:21:50,800 --> 00:21:52,760 Speaker 8: and development. I think ultimately it's good for the business. 418 00:21:52,800 --> 00:21:55,840 Speaker 2: I question to Nicholas Booth at Stanford's Wonder four. You've 419 00:21:55,840 --> 00:21:59,440 Speaker 2: given me the best explanation of this i've heard. Are 420 00:21:59,480 --> 00:22:03,000 Speaker 2: you down road believing that you're going to compensate people 421 00:22:03,359 --> 00:22:06,240 Speaker 2: who are in five days a week versus the work 422 00:22:06,240 --> 00:22:06,920 Speaker 2: from home crew? 423 00:22:07,480 --> 00:22:11,760 Speaker 8: Well, the contracts that people have layout in great detail 424 00:22:12,520 --> 00:22:17,399 Speaker 8: their base of employment, We're not. We incentivize our staff 425 00:22:17,600 --> 00:22:20,320 Speaker 8: to come to work through a salary check that arise. 426 00:22:20,080 --> 00:22:22,080 Speaker 7: In their account on the twenty fifth every month, just. 427 00:22:22,040 --> 00:22:24,200 Speaker 2: Because of time. I've got to get to this. There's 428 00:22:24,240 --> 00:22:28,000 Speaker 2: a back and forth on trade and everything within Ireland 429 00:22:28,080 --> 00:22:30,879 Speaker 2: with America and tariffs, and Trump comes down to the 430 00:22:30,880 --> 00:22:35,640 Speaker 2: pharmaceutical industry. Give give us a state that Allied Irish 431 00:22:35,680 --> 00:22:38,919 Speaker 2: Bank sees of Yes, the weight loss drugs. I'm not 432 00:22:39,160 --> 00:22:43,320 Speaker 2: using Gurris, just cut and Chisels. Help us with the 433 00:22:43,359 --> 00:22:48,639 Speaker 2: pharmaceutical dynamic that will change given decisions by President Trump. 434 00:22:49,040 --> 00:22:51,560 Speaker 8: So some of the biggest farmer names here in the 435 00:22:51,640 --> 00:22:54,920 Speaker 8: United States have have had a physical presence in Ireland 436 00:22:55,000 --> 00:22:56,640 Speaker 8: for over fifty years. 437 00:22:57,119 --> 00:22:58,760 Speaker 2: ARND is very attractive. 438 00:22:58,240 --> 00:23:02,919 Speaker 8: Location for US in gives you open, unfettered access to 439 00:23:03,160 --> 00:23:05,639 Speaker 8: the largest single market in the world in the European Union, 440 00:23:06,400 --> 00:23:10,159 Speaker 8: common law English speaking, and we have of course a 441 00:23:10,200 --> 00:23:12,880 Speaker 8: cultural and perhaps fraternal affinity. 442 00:23:12,480 --> 00:23:14,040 Speaker 7: With one another across the Atlantic. 443 00:23:14,720 --> 00:23:18,400 Speaker 8: So we have very the deep rooted US pharmaceutical companies 444 00:23:18,480 --> 00:23:21,840 Speaker 8: in Ireland. They are it's it's a big driver over 445 00:23:21,960 --> 00:23:25,119 Speaker 8: exports to the United States. We did go through a 446 00:23:25,160 --> 00:23:27,920 Speaker 8: period of grave uncertainty earlier on this year, but I'm 447 00:23:28,000 --> 00:23:30,439 Speaker 8: very happy that that has been eliminated. Now we have 448 00:23:30,480 --> 00:23:32,200 Speaker 8: some certain humulation to tariffs in that sector. 449 00:23:32,520 --> 00:23:36,280 Speaker 2: Thank you for getting life flat beds on air Lingus 450 00:23:36,400 --> 00:23:38,480 Speaker 2: is doing. I used to be a director of er Lingus. 451 00:23:38,560 --> 00:23:38,760 Speaker 7: I was. 452 00:23:38,880 --> 00:23:42,080 Speaker 2: I was the one that pushed it through. I don't 453 00:23:42,080 --> 00:23:46,640 Speaker 2: know who told you that, but City psy Icelandic Airways back. 454 00:23:47,320 --> 00:23:50,640 Speaker 2: You brought an entourage with you, oh with Guinness too. 455 00:23:51,960 --> 00:23:54,840 Speaker 2: What is air Lingus is all of a sudden got 456 00:23:54,880 --> 00:23:56,200 Speaker 2: a buzz to it, doesn't it? 457 00:23:56,760 --> 00:23:58,399 Speaker 8: When Erlingas had a buzz to it going all the 458 00:23:58,440 --> 00:24:01,000 Speaker 8: way back to its privatization. Really two thousand and six, 459 00:24:01,119 --> 00:24:02,880 Speaker 8: have you got much flatbed's fine? 460 00:24:03,040 --> 00:24:03,600 Speaker 7: The life bad? 461 00:24:04,720 --> 00:24:06,840 Speaker 8: You need to fly more often with Urlingas said they've 462 00:24:06,840 --> 00:24:09,320 Speaker 8: had life flat beds for the best part of a decade. 463 00:24:09,320 --> 00:24:11,920 Speaker 2: If not more, well you know they have. But there 464 00:24:11,960 --> 00:24:16,000 Speaker 2: there went. Now they're really pushing it. Conrad, can you 465 00:24:16,040 --> 00:24:17,520 Speaker 2: come back again? Are you going to be in New 466 00:24:17,600 --> 00:24:20,600 Speaker 2: York in the next five years? I hope you here 467 00:24:20,600 --> 00:24:23,040 Speaker 2: in the next five weeks. All right? Led Irish Bank 468 00:24:23,080 --> 00:24:25,280 Speaker 2: and we said good morning to Boston, the new Elied 469 00:24:25,320 --> 00:24:28,800 Speaker 2: Irish Bank years ago. Colin and thank you so much, 470 00:24:28,880 --> 00:24:33,200 Speaker 2: doctor own of led Irish Bank, their chief executive for sir, 471 00:24:33,520 --> 00:24:45,119 Speaker 2: stay with us. More from Bloomberg Surveillance coming up after this. 472 00:24:45,119 --> 00:24:49,000 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 473 00:24:49,080 --> 00:24:52,120 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 474 00:24:52,119 --> 00:24:55,120 Speaker 1: Auto with the Bloomberg Business app. You can also watch 475 00:24:55,200 --> 00:24:58,159 Speaker 1: us live every weekday on YouTube and always on the 476 00:24:58,160 --> 00:24:59,280 Speaker 1: Bloomberg terminal. 477 00:24:59,440 --> 00:25:02,399 Speaker 2: David Gerry and for Paul Sweeny. Lisa Matteo is here. 478 00:25:02,560 --> 00:25:05,280 Speaker 2: She's been seen with a healthy breakfast. I should point 479 00:25:05,320 --> 00:25:08,879 Speaker 2: out as well, she has newspapers this morning. What do 480 00:25:08,920 --> 00:25:09,359 Speaker 2: you start with? 481 00:25:09,480 --> 00:25:11,480 Speaker 9: Okay, we were talking about AI, so we're going to 482 00:25:11,520 --> 00:25:14,159 Speaker 9: start there. We're going to go there. People begin to 483 00:25:14,240 --> 00:25:16,600 Speaker 9: use it more and more, right, so much so open AI. 484 00:25:16,880 --> 00:25:19,919 Speaker 9: Sam Altman is saying that people are starting to talk 485 00:25:20,160 --> 00:25:23,200 Speaker 9: like AI, so he posted about it on x He 486 00:25:23,240 --> 00:25:26,560 Speaker 9: didn't say what particular terms people are using, but he 487 00:25:26,640 --> 00:25:29,879 Speaker 9: did say it's they have similar writing styles. He says, 488 00:25:29,920 --> 00:25:32,400 Speaker 9: it feels fake. It wasn't like that one or two 489 00:25:32,480 --> 00:25:36,040 Speaker 9: years ago. But I did an AI search about terms 490 00:25:36,040 --> 00:25:38,880 Speaker 9: that make you sound like AI, and it says words 491 00:25:38,960 --> 00:25:46,240 Speaker 9: like leverage, synergy, unprecedented, transitional phrases it uses Furthermore. 492 00:25:45,840 --> 00:25:51,000 Speaker 2: So, I've got too for perplexity here and I'm going 493 00:25:51,040 --> 00:25:52,879 Speaker 2: to type it in right now because this is the 494 00:25:52,920 --> 00:25:56,600 Speaker 2: AI we need to know. When does Paul Sweeney return? 495 00:25:58,320 --> 00:25:58,679 Speaker 2: See it? 496 00:25:58,920 --> 00:25:59,720 Speaker 9: Perplexity? 497 00:25:59,840 --> 00:26:06,240 Speaker 4: No, it's all sweeting, Yeah, you take My people are 498 00:26:06,240 --> 00:26:08,879 Speaker 4: saying as well, that changes you let me know, but 499 00:26:09,119 --> 00:26:12,120 Speaker 4: you have people well anyway, I think all of this 500 00:26:12,160 --> 00:26:14,040 Speaker 4: is leading to I think what can be characterize is 501 00:26:14,080 --> 00:26:16,040 Speaker 4: AI slop. So if you look at social media, no 502 00:26:16,119 --> 00:26:17,439 Speaker 4: I know you do, Tom, there's a lot more of 503 00:26:17,440 --> 00:26:19,600 Speaker 4: these kind of you know, a lot of dog roll 504 00:26:19,640 --> 00:26:19,840 Speaker 4: on the. 505 00:26:20,640 --> 00:26:22,360 Speaker 9: And that's what they're saying. It's all kind of sounding 506 00:26:22,400 --> 00:26:24,280 Speaker 9: the same, like it's just kind of recouraged hit. 507 00:26:24,320 --> 00:26:29,560 Speaker 2: And yeah, seriously, it's an unknown yeah, expectly. 508 00:26:29,840 --> 00:26:32,240 Speaker 9: Okay, this is what we were talking about before. High 509 00:26:32,280 --> 00:26:35,760 Speaker 9: school math reading scores hit a new low in the US. 510 00:26:36,119 --> 00:26:38,520 Speaker 9: This is part of the National Assessment for Education Progress. 511 00:26:38,600 --> 00:26:41,080 Speaker 9: You call it the National the Nation's report Card. So 512 00:26:41,160 --> 00:26:43,280 Speaker 9: here are the numbers. So a record high forty five 513 00:26:43,320 --> 00:26:47,040 Speaker 9: percent of high school seniors scored below basic in math. 514 00:26:47,440 --> 00:26:51,120 Speaker 9: Nearly one in three seniors were below basic in reading. 515 00:26:51,520 --> 00:26:54,360 Speaker 9: That's also a record. So this was given to students 516 00:26:54,359 --> 00:26:58,080 Speaker 9: in public and private schools. The results were actually similar 517 00:26:58,080 --> 00:27:00,359 Speaker 9: to those that reported earlier this year for worth to 518 00:27:00,440 --> 00:27:02,760 Speaker 9: eighth grader, so it's not just the younger kids, but 519 00:27:02,800 --> 00:27:05,320 Speaker 9: also the older kids that are in high school preparing 520 00:27:05,359 --> 00:27:08,000 Speaker 9: to go to the cold thing they said it was 521 00:27:08,080 --> 00:27:10,880 Speaker 9: it was lower before the pandemic, but it's just continued 522 00:27:10,920 --> 00:27:12,600 Speaker 9: to fall. It hasn't kind of increased. 523 00:27:12,960 --> 00:27:16,480 Speaker 2: Just I talked to an educator the other day who said, 524 00:27:16,520 --> 00:27:19,360 Speaker 2: we're now beyond the pandemic, but at the same time, 525 00:27:19,400 --> 00:27:19,879 Speaker 2: it's still. 526 00:27:19,800 --> 00:27:21,919 Speaker 4: Still dealing with a lot of the residual stuff. I'm 527 00:27:21,960 --> 00:27:23,879 Speaker 4: struck by how much of this is still online, Like 528 00:27:23,920 --> 00:27:27,080 Speaker 4: having kids now that mouth on the computer is nothing 529 00:27:27,119 --> 00:27:29,760 Speaker 4: to do and put the stylist down and pick up 530 00:27:29,760 --> 00:27:30,159 Speaker 4: the pencil. 531 00:27:30,280 --> 00:27:30,480 Speaker 5: They do. 532 00:27:30,600 --> 00:27:32,640 Speaker 9: Put the Saint teaser online now. 533 00:27:33,040 --> 00:27:36,360 Speaker 4: Right, absolutely, all these year the year siting I think 534 00:27:36,359 --> 00:27:36,879 Speaker 4: are online. 535 00:27:36,960 --> 00:27:37,840 Speaker 5: They are online. 536 00:27:38,000 --> 00:27:38,280 Speaker 2: Next. 537 00:27:38,359 --> 00:27:41,439 Speaker 9: Okay, So we go from high school to college and 538 00:27:41,520 --> 00:27:45,360 Speaker 9: have you heard of rush talk? Okay, this is the 539 00:27:45,359 --> 00:27:46,600 Speaker 9: sorority craze. 540 00:27:46,680 --> 00:27:50,040 Speaker 3: It's coming from I've seen documentary. 541 00:27:50,200 --> 00:27:52,840 Speaker 9: Yes, okay, so rush talk, it's part of TikTok that's 542 00:27:52,880 --> 00:27:55,240 Speaker 9: devoted to sorority rush and it's big. 543 00:27:55,359 --> 00:27:55,560 Speaker 2: Yes. 544 00:27:55,760 --> 00:27:58,800 Speaker 9: Down South. You have the documentaries, you have the Lifetime 545 00:27:58,840 --> 00:28:02,280 Speaker 9: reality series, you have brand collaborations going on with these girls. 546 00:28:02,520 --> 00:28:04,720 Speaker 9: But the Boston Globe, what they said was interesting is 547 00:28:04,720 --> 00:28:08,040 Speaker 9: that the craze is coming from Massachusetts girls, not because 548 00:28:08,440 --> 00:28:11,600 Speaker 9: they're doing it at universities in New England. They're going 549 00:28:11,720 --> 00:28:15,880 Speaker 9: more to southern schools because of crazes like this, schools 550 00:28:15,920 --> 00:28:19,080 Speaker 9: like in Georgia, Alabama. And the Globe took a look 551 00:28:19,119 --> 00:28:21,800 Speaker 9: into what goes into rush talk. Okay, are you ready 552 00:28:21,800 --> 00:28:25,640 Speaker 9: for it? Choreographed dances, which you've probably seen five thousand dollars, 553 00:28:25,680 --> 00:28:29,080 Speaker 9: rush consultants, So they need consultants in order. 554 00:28:28,920 --> 00:28:33,639 Speaker 2: To get girls to get restaurant rush time. Yes, so 555 00:28:33,880 --> 00:28:36,160 Speaker 2: consultancy such a gif. 556 00:28:38,240 --> 00:28:42,080 Speaker 9: Yes, I'm telling you these girls are having mental breakdowns. 557 00:28:42,120 --> 00:28:44,959 Speaker 9: There's scandals, there's spray hands gone wild. 558 00:28:45,120 --> 00:28:49,440 Speaker 2: It's a little crazy test score linked to. 559 00:28:49,400 --> 00:28:52,600 Speaker 9: The test court, but it's it's a huge thing. I mean, 560 00:28:52,840 --> 00:28:55,720 Speaker 9: some girls are making their decisions for college based on 561 00:28:56,000 --> 00:28:57,760 Speaker 9: these things they see on social media. 562 00:28:57,920 --> 00:29:00,959 Speaker 2: Could we have a moment of silence please? Good morning 563 00:29:01,040 --> 00:29:06,840 Speaker 2: to the tri Delts. Delta Delta Delta, Boulder, Colorado, ten 564 00:29:07,000 --> 00:29:15,400 Speaker 2: twenty five, fifteenth Street. I have an agent shoulder. One 565 00:29:15,480 --> 00:29:20,120 Speaker 2: too many screwdrivers. I fell into a rose bushy delta 566 00:29:20,160 --> 00:29:21,200 Speaker 2: on a hill and boulder. 567 00:29:22,400 --> 00:29:25,560 Speaker 4: I noted here there are five bees to avoid according 568 00:29:25,600 --> 00:29:31,040 Speaker 4: to this article, boys, Biden, politics in general, Bucks, booze, 569 00:29:31,240 --> 00:29:31,920 Speaker 4: and the Bible. 570 00:29:32,160 --> 00:29:33,920 Speaker 9: Yes, because you have to watch. 571 00:29:33,640 --> 00:29:35,880 Speaker 2: You before you rush where you rush. 572 00:29:35,920 --> 00:29:38,040 Speaker 9: You got to erase stuff from the past. 573 00:29:38,640 --> 00:29:42,440 Speaker 2: I mean, she looks a whole New World Show. Yeah, 574 00:29:42,480 --> 00:29:45,360 Speaker 2: she looks like Lisa, looks like destined for. 575 00:29:46,800 --> 00:29:47,200 Speaker 9: Goodness. 576 00:29:47,200 --> 00:29:48,200 Speaker 4: She doesn't have to you. 577 00:29:48,200 --> 00:29:52,240 Speaker 2: Could see it. Thank you, Lisa Matteo the Newspapers. 578 00:29:52,360 --> 00:29:57,200 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify 579 00:29:57,320 --> 00:30:01,080 Speaker 1: and anywhere else you get your podcasts. Listen live each 580 00:30:01,120 --> 00:30:04,960 Speaker 1: weekday seven to ten am Eastern on bloomberg dot com, 581 00:30:05,120 --> 00:30:08,920 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 582 00:30:09,200 --> 00:30:12,320 Speaker 1: You can also watch us live every weekday on YouTube 583 00:30:12,600 --> 00:30:14,640 Speaker 1: and always on the Bloomberg terminal