1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:08,240 --> 00:00:12,160 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,240 --> 00:00:15,320 Speaker 2: weekdays at ten am Eastern on Affo, Cardplay and Android 4 00:00:15,320 --> 00:00:18,440 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:18,480 --> 00:00:22,080 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:22,840 --> 00:00:23,920 Speaker 3: Get back to the markets here. 7 00:00:24,120 --> 00:00:28,120 Speaker 4: The big economic news of the day was the retail sales, 8 00:00:28,120 --> 00:00:30,400 Speaker 4: and they generally came out I think across the board 9 00:00:30,760 --> 00:00:34,000 Speaker 4: stronger than expected. The headline zero point four percent, consensus 10 00:00:34,040 --> 00:00:37,239 Speaker 4: was zero point three for growth and zero point one 11 00:00:37,240 --> 00:00:39,519 Speaker 4: percent last period, so big pick up there. When you 12 00:00:39,520 --> 00:00:44,240 Speaker 4: look at the control group, perhaps even more impressive zero 13 00:00:44,240 --> 00:00:48,200 Speaker 4: point seven percent gain versus zero point three percent forecast 14 00:00:48,520 --> 00:00:50,760 Speaker 4: and last month was zero point three percent, So again 15 00:00:50,760 --> 00:00:53,000 Speaker 4: pretty strong across the board. Let's see what it means 16 00:00:53,240 --> 00:00:55,040 Speaker 4: to some of the folks who really follow the retail 17 00:00:55,040 --> 00:00:58,320 Speaker 4: business closely, as does our next guest, Mary Shore, Senior 18 00:00:58,360 --> 00:01:02,120 Speaker 4: Equity anams A Columbia thread Needle, joining us from Boston 19 00:01:02,280 --> 00:01:05,080 Speaker 4: via Zoom. So, Mary, just to my untrained eye, these 20 00:01:05,080 --> 00:01:07,840 Speaker 4: retail sales numbers look pretty good. What do you think 21 00:01:08,040 --> 00:01:10,319 Speaker 4: and what are you seeing in the retail space these days? 22 00:01:11,520 --> 00:01:11,720 Speaker 5: Yes? 23 00:01:11,840 --> 00:01:14,040 Speaker 6: Thanks, for having me back. I think you're right. 24 00:01:14,200 --> 00:01:18,959 Speaker 7: The strong September retail sales print confirms that the consumer 25 00:01:19,160 --> 00:01:22,959 Speaker 7: is in good shape amidst a relatively strong jobs and 26 00:01:23,080 --> 00:01:26,360 Speaker 7: income backdrop. To your point, there may have been some 27 00:01:26,520 --> 00:01:30,679 Speaker 7: benefit this month from pre hurricane stock up behavior, but 28 00:01:30,880 --> 00:01:35,000 Speaker 7: overall the growth remains very healthy, as we've been talking 29 00:01:35,000 --> 00:01:36,640 Speaker 7: about for some time now. 30 00:01:37,000 --> 00:01:37,959 Speaker 6: However, when you. 31 00:01:37,920 --> 00:01:42,600 Speaker 7: Dig deeper, you continue to see pockets of strength and weakness. 32 00:01:42,680 --> 00:01:44,840 Speaker 6: So areas of strength. 33 00:01:44,440 --> 00:01:48,200 Speaker 7: That I would highlight would be food, health and wellness, 34 00:01:48,480 --> 00:01:53,360 Speaker 7: clothing and value, which I think is really incorporated in 35 00:01:53,440 --> 00:01:57,480 Speaker 7: that general merchandise category. And then some areas of weakness 36 00:01:57,480 --> 00:01:59,600 Speaker 7: to call out would be autos and some of the 37 00:01:59,600 --> 00:02:03,280 Speaker 7: bigger ticket categories that we're strong during the pandemic, like 38 00:02:03,480 --> 00:02:07,400 Speaker 7: furniture and electronics. So when I look at the data, 39 00:02:07,520 --> 00:02:10,160 Speaker 7: I think it shows the consumers in good shape, and 40 00:02:10,480 --> 00:02:12,640 Speaker 7: it really is a continuation of a lot of the 41 00:02:12,680 --> 00:02:16,280 Speaker 7: trends that we've discussed in prior episodes. 42 00:02:17,120 --> 00:02:19,840 Speaker 8: It's interesting. I mean, obviously this data does show that 43 00:02:19,880 --> 00:02:22,160 Speaker 8: the consumer is in a good spot, but of course 44 00:02:22,200 --> 00:02:27,400 Speaker 8: people are still complaining of this intensely high inflation. How 45 00:02:27,440 --> 00:02:29,280 Speaker 8: do you think that this really fits into the broader 46 00:02:29,320 --> 00:02:33,400 Speaker 8: economy and as we think about things moving forward, well, 47 00:02:33,800 --> 00:02:34,320 Speaker 8: I think. 48 00:02:34,160 --> 00:02:36,600 Speaker 7: It's exactly what we're seeing in the data. We're very 49 00:02:36,680 --> 00:02:40,640 Speaker 7: high level, we see low single digit growth, But then again, 50 00:02:40,639 --> 00:02:43,560 Speaker 7: when you dig a little deeper, you see services growing 51 00:02:43,680 --> 00:02:48,080 Speaker 7: faster than goods, and within goods, you see needs growing 52 00:02:48,160 --> 00:02:51,959 Speaker 7: faster than once. And so to your point, the inflation 53 00:02:52,120 --> 00:02:55,960 Speaker 7: that we've seen in food and housing in particular really 54 00:02:56,040 --> 00:03:01,320 Speaker 7: continues to weigh on consumer discretionary spend on goods, and 55 00:03:01,360 --> 00:03:03,840 Speaker 7: I think that is a real key reason for some 56 00:03:03,919 --> 00:03:06,959 Speaker 7: of the continued weakness in some of those bigger ticket 57 00:03:07,000 --> 00:03:09,400 Speaker 7: categories that I just highlighted. 58 00:03:10,160 --> 00:03:11,760 Speaker 3: Mary, what are the retailers that you cover? 59 00:03:11,840 --> 00:03:14,959 Speaker 4: What are they saying about the holiday Christmas season coming 60 00:03:15,040 --> 00:03:17,520 Speaker 4: up such a big part of their annual sales? 61 00:03:21,040 --> 00:03:25,600 Speaker 7: Yes, I think you know, as always they're cautiously optimistic. 62 00:03:25,639 --> 00:03:29,120 Speaker 7: You know, they're optimistic by nature, but given the macro backdrop, 63 00:03:29,200 --> 00:03:35,200 Speaker 7: I think everyone is planning their business very conservatively. They 64 00:03:35,240 --> 00:03:40,440 Speaker 7: were being disciplined on inventory. I expect promotions to be 65 00:03:40,680 --> 00:03:44,440 Speaker 7: very well controlled for that reason. But overall, I do 66 00:03:44,480 --> 00:03:46,640 Speaker 7: think it will be a strong holiday. What we've seen 67 00:03:46,680 --> 00:03:50,440 Speaker 7: this year is that during key events, the consumer does 68 00:03:50,520 --> 00:03:53,000 Speaker 7: come out and shop, so I think, you know, we 69 00:03:53,080 --> 00:03:55,920 Speaker 7: will see real strength over Black Friday and the week 70 00:03:55,960 --> 00:03:59,560 Speaker 7: before Christmas, and probably a lull in between those two 71 00:03:59,560 --> 00:04:04,040 Speaker 7: shopping periods as we've seen in the past. So overall, 72 00:04:04,080 --> 00:04:06,960 Speaker 7: I would expect a strong season, but still a little 73 00:04:07,040 --> 00:04:09,280 Speaker 7: lumpy when you're looking week by week. 74 00:04:10,480 --> 00:04:14,080 Speaker 8: So Mary, talk to me about the sentiment as we're 75 00:04:14,080 --> 00:04:16,440 Speaker 8: thinking about things heading into this election. Of course, we're 76 00:04:16,520 --> 00:04:19,680 Speaker 8: less than a month away. How are consumers thinking about 77 00:04:19,720 --> 00:04:22,720 Speaker 8: this and businesses as well? 78 00:04:22,800 --> 00:04:25,880 Speaker 7: Right well, I think whether it's the election or the 79 00:04:25,880 --> 00:04:29,600 Speaker 7: direction of gas prices, what most of the companies that 80 00:04:29,720 --> 00:04:33,520 Speaker 7: I talk to say is it's really the uncertainty which 81 00:04:33,560 --> 00:04:38,320 Speaker 7: is more paralyzing for the consumer. So I would definitely 82 00:04:38,400 --> 00:04:42,159 Speaker 7: expect some noise, you know, right heading into the election. 83 00:04:42,800 --> 00:04:45,560 Speaker 7: But either way, I think that the results of the 84 00:04:45,640 --> 00:04:50,000 Speaker 7: election will provide that certainty to the consumer and probably 85 00:04:50,080 --> 00:04:53,839 Speaker 7: boost consumer sentiment going forward. I think what it means 86 00:04:53,839 --> 00:04:58,200 Speaker 7: for the companies could be more mixed, Like if Trump 87 00:04:58,360 --> 00:05:03,320 Speaker 7: does continue talking about his tariff policy, then you know, 88 00:05:03,400 --> 00:05:06,200 Speaker 7: that could be an overhang on some of the retailers 89 00:05:06,200 --> 00:05:08,320 Speaker 7: that import from overseas. 90 00:05:09,560 --> 00:05:12,799 Speaker 6: But I think overall, just the results of the election. 91 00:05:13,000 --> 00:05:17,400 Speaker 7: In gaining that uncertainty will be a positive thing for 92 00:05:17,480 --> 00:05:19,200 Speaker 7: consumer sentiment going forward. 93 00:05:19,760 --> 00:05:22,839 Speaker 4: All right, this Christmas shopping season, how promotional will the 94 00:05:22,880 --> 00:05:26,880 Speaker 4: retailers be? I know that goes right to their profit margin, 95 00:05:26,960 --> 00:05:28,480 Speaker 4: but how do you think that's going to shake out? 96 00:05:29,360 --> 00:05:32,920 Speaker 7: Yeah, you know, we talk a lot about promotions versus markdowns. 97 00:05:32,960 --> 00:05:35,680 Speaker 7: You know, the retailers know they have to be promotional 98 00:05:36,040 --> 00:05:39,480 Speaker 7: to drive traffic, and so I think you should expect 99 00:05:39,480 --> 00:05:43,839 Speaker 7: to see controlled promotions. So what I mean by that is, 100 00:05:43,880 --> 00:05:47,359 Speaker 7: you know, promotions more in say the thirty percent range, 101 00:05:47,520 --> 00:05:50,279 Speaker 7: and given that inventory is well controlled, I think the 102 00:05:50,320 --> 00:05:53,000 Speaker 7: retailers will try to stick to that plan for as 103 00:05:53,080 --> 00:05:57,440 Speaker 7: long as possible. I would not expect to see promotions 104 00:05:57,560 --> 00:06:02,240 Speaker 7: in like the seventy percent range and markdowns, and that's 105 00:06:02,320 --> 00:06:05,440 Speaker 7: typically what you see when the sales are a lot 106 00:06:05,480 --> 00:06:08,600 Speaker 7: weaker than planned or the inventory is a lot heavier 107 00:06:08,640 --> 00:06:11,760 Speaker 7: than planned. And I don't really expect either of those 108 00:06:11,800 --> 00:06:16,560 Speaker 7: things this holiday. So you'll still see those headline promotions, 109 00:06:16,800 --> 00:06:19,400 Speaker 7: but you have to remember that the retailers have planned 110 00:06:19,440 --> 00:06:22,760 Speaker 7: for those they bought into them, and so there's really 111 00:06:23,000 --> 00:06:27,279 Speaker 7: no negative margin implication from some of those headlines. 112 00:06:28,040 --> 00:06:30,480 Speaker 8: Well, we think historically and then moving into this year, 113 00:06:30,640 --> 00:06:33,440 Speaker 8: how do consumers really think about the holidays when we're 114 00:06:33,480 --> 00:06:35,680 Speaker 8: thinking in this season, is it everyone's just going to 115 00:06:35,760 --> 00:06:38,320 Speaker 8: throw everything on their credit card because we have the 116 00:06:38,320 --> 00:06:40,880 Speaker 8: holiday cheer? Or do you think they're really going to 117 00:06:40,880 --> 00:06:43,640 Speaker 8: be targeting those companies that are those stores that are 118 00:06:43,640 --> 00:06:45,080 Speaker 8: offering promotions specifically. 119 00:06:46,760 --> 00:06:47,599 Speaker 6: It's a great question. 120 00:06:47,720 --> 00:06:50,520 Speaker 7: I mean, I think we do see the consumer come 121 00:06:50,520 --> 00:06:54,440 Speaker 7: out and spend around key events, and you know, especially 122 00:06:54,480 --> 00:06:56,800 Speaker 7: in a year that could be tough, you're feeling the 123 00:06:56,960 --> 00:07:00,000 Speaker 7: pinch of inflation, every consumer wants to bring a little 124 00:07:00,279 --> 00:07:04,320 Speaker 7: cheer around the holidays. So I do expect that they 125 00:07:04,360 --> 00:07:07,520 Speaker 7: will be out in the market. Having said that, I 126 00:07:07,560 --> 00:07:11,160 Speaker 7: think they're still going to be very discerning, very focused 127 00:07:11,240 --> 00:07:13,760 Speaker 7: on value, and I would expect a lot of the 128 00:07:13,880 --> 00:07:17,880 Speaker 7: value players, as I mentioned in that general merchandise category 129 00:07:18,120 --> 00:07:19,920 Speaker 7: to be the key beneficiary. 130 00:07:20,240 --> 00:07:21,840 Speaker 3: All Right, Mari, thank you so much for joining us. 131 00:07:21,880 --> 00:07:25,320 Speaker 4: Mary Sure Senior ecuadanams a Columbia Thread Needle Investments up 132 00:07:25,320 --> 00:07:29,000 Speaker 4: in Boston, always helping us out talking about retail sales. 133 00:07:29,240 --> 00:07:33,119 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 134 00:07:33,200 --> 00:07:36,720 Speaker 2: weekdays at ten am Eastern on Applecar Play and Android 135 00:07:36,760 --> 00:07:39,920 Speaker 2: Otto with the Bloomberg Business. You can also listen live 136 00:07:40,000 --> 00:07:43,160 Speaker 2: on Amazon Alexa from our flagship New York station. Just 137 00:07:43,240 --> 00:07:45,880 Speaker 2: say Alexa play Bloomberg eleven thirty. 138 00:07:47,440 --> 00:07:48,160 Speaker 3: Let's switch gears. 139 00:07:48,240 --> 00:07:51,160 Speaker 4: Let's get back to the markets here technology in the 140 00:07:51,200 --> 00:07:54,480 Speaker 4: play here yesterday, I think it was me who said 141 00:07:54,560 --> 00:07:56,520 Speaker 4: I think I've seen the top of AI. 142 00:07:56,720 --> 00:07:58,120 Speaker 3: I think some of these chip. 143 00:07:58,040 --> 00:08:01,320 Speaker 4: Companies are going to roll over and blah blah blah blah. 144 00:08:01,400 --> 00:08:05,080 Speaker 4: Well then Taiwan Semiconductor comes out with a better than 145 00:08:05,200 --> 00:08:09,080 Speaker 4: forecasted outlook. So once again I was proven wrong, particularly 146 00:08:09,080 --> 00:08:10,080 Speaker 4: it relates to technology. 147 00:08:10,080 --> 00:08:10,800 Speaker 3: I don't know what's going on. 148 00:08:10,800 --> 00:08:12,400 Speaker 4: How do you feel about that? How do I feel 149 00:08:12,440 --> 00:08:14,880 Speaker 4: about that? It lasted all of like twenty four hours? 150 00:08:14,920 --> 00:08:17,840 Speaker 4: My great call there, Man Deep Sing he's the extra, 151 00:08:17,960 --> 00:08:20,120 Speaker 4: He's the one we go to. Man Deep Sying, he's 152 00:08:20,160 --> 00:08:23,520 Speaker 4: the tech ANAMST for Bloomberg Intelligence. So Mandy talks about 153 00:08:23,840 --> 00:08:25,600 Speaker 4: Taiwan Semi Contector. A lot of our listeners, a lot 154 00:08:25,600 --> 00:08:27,440 Speaker 4: of reviewers not really familiar with it. Tell us about 155 00:08:27,440 --> 00:08:30,080 Speaker 4: what this company does and kind of what they announced recently. 156 00:08:30,640 --> 00:08:34,960 Speaker 9: I mean, basically, they are the manufacturing factory for all 157 00:08:35,040 --> 00:08:38,640 Speaker 9: your AI chips, all the chips that go into smartphones, 158 00:08:38,679 --> 00:08:42,640 Speaker 9: and basically they are at the leading edge of manufacturing. 159 00:08:42,679 --> 00:08:46,320 Speaker 9: When people talk about you know chips, the most powerful 160 00:08:46,400 --> 00:08:49,680 Speaker 9: AI chips with the most transistors, they are the ones 161 00:08:49,720 --> 00:08:53,319 Speaker 9: who are manufacturing it. And look, I think it was 162 00:08:53,440 --> 00:08:57,840 Speaker 9: quite a contrast between the ASML print and the TSMC print, 163 00:08:58,360 --> 00:09:02,640 Speaker 9: and what it shows you is the AI side continues 164 00:09:02,679 --> 00:09:05,520 Speaker 9: to be strong. In fact, they called out smartphones being 165 00:09:05,559 --> 00:09:08,760 Speaker 9: as strong in market as well uh in the print. 166 00:09:08,840 --> 00:09:12,560 Speaker 9: So clearly the top two segments for them are working 167 00:09:12,640 --> 00:09:17,040 Speaker 9: quite well and they have more demand than they can manufacture. 168 00:09:17,080 --> 00:09:21,360 Speaker 9: These chips for Nvidia and Apple, those are their you know, 169 00:09:21,480 --> 00:09:25,160 Speaker 9: top customers, and they're raising their capex guide. So one 170 00:09:25,160 --> 00:09:29,520 Speaker 9: of the concerns was will TSMC raise their capex guide 171 00:09:29,520 --> 00:09:31,760 Speaker 9: given what we heard from a SML, Well, guess what, 172 00:09:31,920 --> 00:09:35,360 Speaker 9: they are raising their capex guide. So a SML's woes 173 00:09:35,400 --> 00:09:39,600 Speaker 9: were really driven by Intel pairing back and Samsung pairing back. 174 00:09:39,640 --> 00:09:42,720 Speaker 9: But when it comes to TSMC, they continue to be strong, 175 00:09:42,760 --> 00:09:43,000 Speaker 9: all right. 176 00:09:43,040 --> 00:09:45,840 Speaker 4: So Taimewan Semiconductor does a trade in US or eighty 177 00:09:45,960 --> 00:09:46,640 Speaker 4: rs in US. 178 00:09:46,679 --> 00:09:48,480 Speaker 3: The ADRs are the ADRs trade in. 179 00:09:48,480 --> 00:09:51,160 Speaker 4: US t SM as your tickle put InChI. Bloomberg Terminal 180 00:09:52,000 --> 00:09:55,520 Speaker 4: stock is up eleven percent today, up one hundred percent 181 00:09:55,600 --> 00:09:58,520 Speaker 4: year to date. This isn't a penny stock. This has 182 00:09:58,559 --> 00:10:02,959 Speaker 4: a market cap of over one trillion dollars. My ignorance 183 00:10:03,040 --> 00:10:05,000 Speaker 4: level on this is out of control. I mean, I 184 00:10:05,040 --> 00:10:06,120 Speaker 4: just didn't know they were that big. 185 00:10:06,240 --> 00:10:07,880 Speaker 8: I know, when we're compute, the number's two big. 186 00:10:07,920 --> 00:10:08,400 Speaker 3: No, it's too big. 187 00:10:08,440 --> 00:10:10,480 Speaker 4: That's why we need man deep sink. So anyway, big 188 00:10:10,480 --> 00:10:13,559 Speaker 4: company folks. Giving a positive outlook on the chip business 189 00:10:13,600 --> 00:10:16,120 Speaker 4: really important for overall tech discussion about AI. 190 00:10:16,400 --> 00:10:18,560 Speaker 8: So talk to us about the outlook right now? What 191 00:10:18,600 --> 00:10:21,319 Speaker 8: are expectations when we think about the tech sector more broadly? 192 00:10:21,360 --> 00:10:24,320 Speaker 8: I know earnings people have a pretty low bar, so 193 00:10:24,800 --> 00:10:27,440 Speaker 8: if companies are doing well, it'll be a really great, 194 00:10:27,559 --> 00:10:29,240 Speaker 8: you know, great news coming out of that. How is 195 00:10:29,280 --> 00:10:32,200 Speaker 8: the tech sector when we're looking at AI specifically, what 196 00:10:32,240 --> 00:10:34,240 Speaker 8: are expectations right now? I know the bar tends to 197 00:10:34,280 --> 00:10:35,320 Speaker 8: be relatively high. 198 00:10:35,360 --> 00:10:37,360 Speaker 9: I mean, I don't know if the bar is low 199 00:10:37,440 --> 00:10:40,479 Speaker 9: at this point, given what we saw with THEML ASML 200 00:10:40,760 --> 00:10:43,880 Speaker 9: was the case of expectations being too high and they 201 00:10:43,960 --> 00:10:46,280 Speaker 9: guide it to that. And now they come out, you know, 202 00:10:46,520 --> 00:10:49,480 Speaker 9: this quarter and say we are taking down bookings by 203 00:10:49,520 --> 00:10:53,040 Speaker 9: fifty percent. So clearly expectations were high. It was the 204 00:10:53,160 --> 00:10:56,120 Speaker 9: management who said it, and now they took back their guide. 205 00:10:56,400 --> 00:10:58,560 Speaker 9: In the case of if I think in Video or 206 00:10:58,600 --> 00:11:02,640 Speaker 9: some of the other bellveather for AI, look, we've been 207 00:11:02,720 --> 00:11:05,440 Speaker 9: hearing that the demand for their latest chip continues to 208 00:11:05,480 --> 00:11:09,600 Speaker 9: be strong. The TSMC print is another validation that you know, 209 00:11:09,760 --> 00:11:13,640 Speaker 9: they are ramping up the AI side. It's almost mid 210 00:11:13,679 --> 00:11:17,240 Speaker 9: teens of their revenue. This was almost a zero billion, 211 00:11:17,320 --> 00:11:21,200 Speaker 9: a zero a dollar revenue for TSMC a few quarters back. 212 00:11:21,280 --> 00:11:24,800 Speaker 9: So in just the span of three four quarters, it's 213 00:11:24,840 --> 00:11:27,320 Speaker 9: mid teens of their revenue. That just goes to show 214 00:11:27,480 --> 00:11:30,520 Speaker 9: along with the margin expansion, the gross margin growing to 215 00:11:30,960 --> 00:11:34,280 Speaker 9: fifty eight percent. I mean, all this is positive for 216 00:11:34,480 --> 00:11:39,200 Speaker 9: AI and you know for bell Weathers like Nvidia at 217 00:11:39,200 --> 00:11:43,040 Speaker 9: the same time, this will drive up the expectations even further. 218 00:11:43,640 --> 00:11:46,240 Speaker 9: So you know, the bar keeps getting higher, and at 219 00:11:46,280 --> 00:11:49,800 Speaker 9: some point I think you will have missus like what 220 00:11:49,840 --> 00:11:53,360 Speaker 9: we saw with the SML, but probably not that soon 221 00:11:53,480 --> 00:11:54,800 Speaker 9: for the likes of Invidia. 222 00:11:55,440 --> 00:11:59,040 Speaker 4: So thirty secondsleft, who are the top two or three 223 00:11:59,120 --> 00:12:03,080 Speaker 4: or four buyers of these chips. Is it the Microsoft's 224 00:12:03,120 --> 00:12:05,360 Speaker 4: and the Googles of the world. 225 00:12:05,480 --> 00:12:07,800 Speaker 9: I mean, in the case of TSMC, the top buyer 226 00:12:07,880 --> 00:12:11,640 Speaker 9: is still Apple. Okay, so that validates that smartphone to 227 00:12:11,640 --> 00:12:14,400 Speaker 9: refresh that everyone is waiting for that segment. Did well. 228 00:12:14,440 --> 00:12:17,400 Speaker 9: The inventory is building up, and then Nvidia and and 229 00:12:17,559 --> 00:12:21,400 Speaker 9: Nvidia continues to become a bigger buyer of tsmcs. And 230 00:12:21,480 --> 00:12:24,559 Speaker 9: then you have got AMD and some others. But pretty 231 00:12:24,640 --> 00:12:29,040 Speaker 9: much every fabulous design company, whether it's AMD, Qualcomm and VideA, 232 00:12:29,520 --> 00:12:33,280 Speaker 9: goes to TSMC for you know, manufacturing their chips because 233 00:12:33,320 --> 00:12:36,680 Speaker 9: they have a leading node monopoly. I mean, everyone else 234 00:12:36,800 --> 00:12:38,319 Speaker 9: is way behind when it comes to. 235 00:12:38,600 --> 00:12:41,240 Speaker 4: Son Go to Taiwan and see Taiwan and see them 236 00:12:41,240 --> 00:12:41,840 Speaker 4: make chips. 237 00:12:42,160 --> 00:12:45,360 Speaker 9: Yeah, you should visit one of their factories, the one 238 00:12:45,400 --> 00:12:46,320 Speaker 9: in Arizona though. 239 00:12:46,400 --> 00:12:49,079 Speaker 3: Yeah, they're gonna do one in Arizona. Yeah, okay, that's 240 00:12:49,120 --> 00:12:51,439 Speaker 3: cool too. All right, Mandy, thank you very much again. 241 00:12:51,520 --> 00:12:54,320 Speaker 4: As always, he is our absolute goat to persons for 242 00:12:54,360 --> 00:12:57,280 Speaker 4: all things technology. Senior Technology aannels. He runs all of 243 00:12:57,280 --> 00:13:01,120 Speaker 4: our tech practice at Bloomberg Intelligence, and we appreciate getting 244 00:13:01,160 --> 00:13:02,800 Speaker 4: his time because he's only a floor away. 245 00:13:02,840 --> 00:13:04,280 Speaker 3: It's not like a big ass. We love that, and 246 00:13:04,400 --> 00:13:04,880 Speaker 3: you walk. 247 00:13:04,760 --> 00:13:07,040 Speaker 4: Up the stairs and talk to us on Bloomberg Radio, 248 00:13:07,240 --> 00:13:07,840 Speaker 4: man Deep singing. 249 00:13:07,880 --> 00:13:12,920 Speaker 2: There, you're listening to the Bloomberg Intelligence Podcast. Catch us 250 00:13:12,960 --> 00:13:15,920 Speaker 2: live weekdays at ten am Eastern on Apple car Playing 251 00:13:16,000 --> 00:13:18,600 Speaker 2: and broud Otto with the Bloomberg Business app. Listen on 252 00:13:18,679 --> 00:13:21,959 Speaker 2: demand wherever you get your podcasts, or watch us live 253 00:13:22,040 --> 00:13:23,400 Speaker 2: on YouTube. 254 00:13:23,880 --> 00:13:26,800 Speaker 4: I don't know, did retail sales today nor better than expected? 255 00:13:26,920 --> 00:13:30,280 Speaker 4: Maybe maybe the FED doesn't have to cut in November. 256 00:13:30,320 --> 00:13:32,840 Speaker 4: And if they don't, is that okay? I don't know 257 00:13:32,840 --> 00:13:34,800 Speaker 4: the markets are creating car here. It looks like it's 258 00:13:34,880 --> 00:13:37,559 Speaker 4: kind of okay. Let's talk to somebody who's actually has 259 00:13:37,600 --> 00:13:38,920 Speaker 4: a professional here on this whole thing. 260 00:13:39,000 --> 00:13:42,440 Speaker 3: David Kodluck. He's a founder, he's a chief executive officer. 261 00:13:42,760 --> 00:13:44,920 Speaker 4: And he's a chief investment strategist. I think that means 262 00:13:44,920 --> 00:13:45,480 Speaker 4: he's the boss. 263 00:13:45,720 --> 00:13:46,360 Speaker 8: It sounds like it. 264 00:13:46,440 --> 00:13:50,040 Speaker 4: That's right, mainstay a capital management from one of my 265 00:13:50,120 --> 00:13:52,880 Speaker 4: favorite little towns out there in the Midwest, Troy, Michigan. 266 00:13:52,920 --> 00:13:56,400 Speaker 3: I've been to Troy, Michigan. Cool little town, David. 267 00:13:56,640 --> 00:13:58,920 Speaker 4: So you get a retail sales number today that's better 268 00:13:58,960 --> 00:14:01,920 Speaker 4: and expected, you get some still a pretty strong labor market. 269 00:14:03,200 --> 00:14:04,920 Speaker 4: Is this a FED that has to cut and if 270 00:14:04,960 --> 00:14:07,079 Speaker 4: they don't have to cut in November. 271 00:14:06,720 --> 00:14:07,240 Speaker 3: Is that okay? 272 00:14:08,520 --> 00:14:11,800 Speaker 10: Good morning, Paul and Nora. I think it's a FED 273 00:14:11,840 --> 00:14:16,000 Speaker 10: that will continue to cut. They'll continue to ease because 274 00:14:16,240 --> 00:14:19,440 Speaker 10: monetary policy is more restrictive than it needs to be. 275 00:14:19,960 --> 00:14:21,640 Speaker 11: Inflation has come down there. 276 00:14:21,720 --> 00:14:24,000 Speaker 10: I know there's fears that we could see a resurgence 277 00:14:24,120 --> 00:14:28,080 Speaker 10: of inflation here yet this year into next year, but 278 00:14:28,120 --> 00:14:31,520 Speaker 10: inflation has come down and is drifting towards target. Certainly 279 00:14:31,560 --> 00:14:35,480 Speaker 10: it is in Europe the ECB cut last night. The 280 00:14:36,440 --> 00:14:38,880 Speaker 10: key here is that when we look at the economy 281 00:14:38,880 --> 00:14:41,440 Speaker 10: and say, I think it's you know, what's interesting is 282 00:14:42,560 --> 00:14:44,880 Speaker 10: do they need to cut for a recession? No, those 283 00:14:44,920 --> 00:14:47,400 Speaker 10: that have been calling for a recession for the last 284 00:14:47,480 --> 00:14:49,080 Speaker 10: two years have been dead. 285 00:14:49,120 --> 00:14:49,560 Speaker 11: We're wrong. 286 00:14:50,720 --> 00:14:53,440 Speaker 10: We've kind of mocked this by my phrase the recession 287 00:14:53,560 --> 00:14:56,120 Speaker 10: is always six months away. That have actually been saying 288 00:14:56,160 --> 00:14:58,360 Speaker 10: for two and a half years now. And yeah, retail 289 00:14:58,440 --> 00:15:01,680 Speaker 10: sales came in above expectations, four tenths a month over 290 00:15:01,720 --> 00:15:02,840 Speaker 10: month versus three tenths. 291 00:15:02,880 --> 00:15:04,280 Speaker 11: We've got strong. 292 00:15:04,040 --> 00:15:08,680 Speaker 10: GDP Atlanta gb GDP now forecast above three percent, uh, 293 00:15:09,000 --> 00:15:13,280 Speaker 10: labors hanging in there, and so we've I always I 294 00:15:13,320 --> 00:15:16,720 Speaker 10: always am careful to use the word goldilocks economy, but 295 00:15:16,840 --> 00:15:19,240 Speaker 10: we sure, you know, if there's if there's such a 296 00:15:19,240 --> 00:15:22,040 Speaker 10: thing as a Goldilocks economy, we're sure close to it 297 00:15:22,120 --> 00:15:25,080 Speaker 10: right now. And the Fed does have the ability to 298 00:15:25,160 --> 00:15:30,640 Speaker 10: continue to ease as other central banks are around the world, 299 00:15:30,720 --> 00:15:34,760 Speaker 10: just because you know, we we don't uh, we're in 300 00:15:34,800 --> 00:15:37,440 Speaker 10: that sweet spot where they can make monetary policy a 301 00:15:37,480 --> 00:15:38,440 Speaker 10: little less restrictive. 302 00:15:39,400 --> 00:15:42,880 Speaker 8: So tell me, David, which economic data is most paramount 303 00:15:42,960 --> 00:15:45,240 Speaker 8: right now. I know we've always had our eyes on inflation, 304 00:15:45,360 --> 00:15:47,880 Speaker 8: but it seems as though attention is really shifting toward 305 00:15:48,200 --> 00:15:51,440 Speaker 8: employment data as being more important right now. What's your 306 00:15:51,560 --> 00:15:53,160 Speaker 8: look your out look on that? 307 00:15:53,320 --> 00:15:55,040 Speaker 11: Yeah, that, Nora and I agree. 308 00:15:55,040 --> 00:16:00,960 Speaker 10: It's really it's this, when we look at employment or 309 00:16:01,080 --> 00:16:05,760 Speaker 10: labor versus inflation. You know, where are we and we 310 00:16:05,800 --> 00:16:08,720 Speaker 10: see inflation drifting down? We think that's becoming a more 311 00:16:08,880 --> 00:16:12,680 Speaker 10: non existent problem. We keep getting mixed data on labor. 312 00:16:12,880 --> 00:16:15,520 Speaker 10: You know, there was some screwy numbers in the back 313 00:16:15,600 --> 00:16:19,280 Speaker 10: months that had to be revised. But you know, if 314 00:16:19,280 --> 00:16:21,560 Speaker 10: we if we we want to keep an eye on labor. 315 00:16:22,560 --> 00:16:25,600 Speaker 10: We want to keep an eye on the consumer being 316 00:16:25,680 --> 00:16:28,520 Speaker 10: two thirds of our economy, so we need labor to 317 00:16:28,560 --> 00:16:33,280 Speaker 10: stay strong enough but not too strong and not get 318 00:16:33,320 --> 00:16:36,160 Speaker 10: weak enough that they're cutting, you know, for the reasons 319 00:16:36,200 --> 00:16:38,520 Speaker 10: we don't want, which is the fear of a recession. 320 00:16:38,600 --> 00:16:40,960 Speaker 10: And we think the you know that the fears of 321 00:16:41,000 --> 00:16:44,920 Speaker 10: a recession, you know, they're just there's anecdotal data there. 322 00:16:45,160 --> 00:16:50,720 Speaker 10: You know, what's happening with car loan delinquencies, personal debt, 323 00:16:50,960 --> 00:16:51,800 Speaker 10: credit card debt. 324 00:16:51,880 --> 00:16:53,480 Speaker 11: There's that anecdotal data. 325 00:16:53,560 --> 00:16:55,840 Speaker 10: But when we look at GDP, we look at labor, 326 00:16:55,880 --> 00:16:58,800 Speaker 10: we look at inflation, we look at retail salesman. You know, 327 00:16:58,880 --> 00:17:01,240 Speaker 10: we've we've got when we look at the macro numbers, 328 00:17:01,280 --> 00:17:05,520 Speaker 10: we've got an economy that keeps chugging along, and correspondingly, 329 00:17:05,920 --> 00:17:08,080 Speaker 10: a stock market that keeps chugging along. 330 00:17:08,160 --> 00:17:08,400 Speaker 11: Again. 331 00:17:08,480 --> 00:17:11,320 Speaker 10: The people that have called for a bear market anytime 332 00:17:11,359 --> 00:17:13,680 Speaker 10: over the last two years, they weren't early. They were 333 00:17:13,720 --> 00:17:16,920 Speaker 10: just wrong, dead wrong. And you know, we're still constructive 334 00:17:16,960 --> 00:17:19,520 Speaker 10: on stocks. It always looks prudent, right, It always looks 335 00:17:19,800 --> 00:17:22,760 Speaker 10: prudent or smart to say a recession is right around 336 00:17:22,800 --> 00:17:25,320 Speaker 10: the corner, or bear markets right around the corner. But 337 00:17:25,359 --> 00:17:26,960 Speaker 10: it's key to these people that have been saying this 338 00:17:27,080 --> 00:17:30,200 Speaker 10: for so long they're dead just been wrong. 339 00:17:30,960 --> 00:17:33,959 Speaker 8: So David, how are you advising your clients now versus 340 00:17:34,000 --> 00:17:35,359 Speaker 8: maybe this time last year? 341 00:17:37,920 --> 00:17:41,359 Speaker 10: We're you know, all that said, we're always concerned about 342 00:17:41,400 --> 00:17:43,639 Speaker 10: when when the next shoe will drop or you know, 343 00:17:43,720 --> 00:17:45,600 Speaker 10: when when the first shoe will drop or the next 344 00:17:45,640 --> 00:17:46,359 Speaker 10: shoe will drop. 345 00:17:46,600 --> 00:17:47,800 Speaker 11: We are concerned about that. 346 00:17:47,960 --> 00:17:50,000 Speaker 10: So that's why we're keeping an eye on the data 347 00:17:50,320 --> 00:17:54,400 Speaker 10: that were talking about here on does it is inflation 348 00:17:54,720 --> 00:17:56,360 Speaker 10: on a glide path down to the. 349 00:17:56,320 --> 00:17:58,399 Speaker 11: Fence target we believe it is. 350 00:17:58,400 --> 00:18:02,040 Speaker 10: Is you know, uh, do we still have though a 351 00:18:02,160 --> 00:18:04,160 Speaker 10: robust economy or we headed towards recession? 352 00:18:04,320 --> 00:18:06,600 Speaker 11: We don't think so. So Uh. 353 00:18:06,680 --> 00:18:10,040 Speaker 10: We continue to be very constructive on the markets. We're 354 00:18:10,160 --> 00:18:14,520 Speaker 10: over overweight equities. We've changed our term structure on our 355 00:18:14,520 --> 00:18:18,760 Speaker 10: bond holding somewhat. We were last year in the first 356 00:18:18,760 --> 00:18:21,240 Speaker 10: part of this year on the shortest end of the curve, 357 00:18:21,359 --> 00:18:25,560 Speaker 10: just capturing yield, uh, rather than any kind of interest 358 00:18:25,640 --> 00:18:28,520 Speaker 10: rate player anything else. Because duration has worked against you, uh, 359 00:18:28,640 --> 00:18:31,000 Speaker 10: we think there's an opportunity over the next year that 360 00:18:31,119 --> 00:18:34,040 Speaker 10: duration will help you. You can get that capital appreciation 361 00:18:34,800 --> 00:18:38,800 Speaker 10: combined with the yield on your stocks, clip the coupon 362 00:18:38,920 --> 00:18:42,639 Speaker 10: and enjoy some capital appreciation. But I think my strongest 363 00:18:42,720 --> 00:18:47,640 Speaker 10: recommendation is, uh, you know, these all the naysayers, all 364 00:18:47,640 --> 00:18:52,680 Speaker 10: the doomsayers, the pundits that are you know, collapses eminet. Look, 365 00:18:52,840 --> 00:18:56,600 Speaker 10: they've been wrong, and so we're very constructive on the markets. 366 00:18:56,680 --> 00:18:59,200 Speaker 10: We're bullish on the market's near term. We have an 367 00:18:59,200 --> 00:19:01,840 Speaker 10: election coming that we'll get out of the way, so 368 00:19:01,920 --> 00:19:04,880 Speaker 10: that removes some uncertainty. And we're heading into the seasonal 369 00:19:04,960 --> 00:19:08,760 Speaker 10: period that's strong for stocks from November through April. So 370 00:19:09,280 --> 00:19:14,040 Speaker 10: you know, there's a lot of economic seasonality and other 371 00:19:14,359 --> 00:19:17,520 Speaker 10: factors that are good tailwinds for equities right now. 372 00:19:18,040 --> 00:19:21,160 Speaker 4: David, you mentioned the election nineteen days I think coming 373 00:19:21,240 --> 00:19:22,880 Speaker 4: up or very close here. 374 00:19:23,160 --> 00:19:24,720 Speaker 3: What do you tell your clients about it? 375 00:19:24,760 --> 00:19:27,159 Speaker 4: I mean, is there any way to election proof of 376 00:19:27,280 --> 00:19:29,199 Speaker 4: portfolio or don't worry about it? 377 00:19:30,400 --> 00:19:34,280 Speaker 10: Well, unfortunately, and not our clients, because we educate our 378 00:19:34,280 --> 00:19:39,080 Speaker 10: clients about this a lot every election cycle. Don't election 379 00:19:39,200 --> 00:19:42,280 Speaker 10: proof it by going to cash. That's the worst mistake 380 00:19:42,359 --> 00:19:45,840 Speaker 10: that investors make because look at this, look at this 381 00:19:45,960 --> 00:19:51,840 Speaker 10: election like others, how polarizing, you know, between the two candidates. 382 00:19:51,880 --> 00:19:55,000 Speaker 10: You know, if so and so gets elected, we're going 383 00:19:55,040 --> 00:19:58,040 Speaker 10: to heck in a handbasket in the same thing for 384 00:19:58,119 --> 00:19:58,880 Speaker 10: the other candidate. 385 00:19:59,160 --> 00:19:59,840 Speaker 11: And there's all this. 386 00:20:00,280 --> 00:20:03,359 Speaker 10: The reality of it is is the biggest factor for 387 00:20:03,400 --> 00:20:07,199 Speaker 10: the market is uncertainty. Markets had uncertainty that will be 388 00:20:07,200 --> 00:20:10,080 Speaker 10: determined here in three weeks. So the key is don't 389 00:20:10,119 --> 00:20:13,080 Speaker 10: go to cash, stay invested in the market and as 390 00:20:13,160 --> 00:20:16,600 Speaker 10: we see who it looks like will be what administration 391 00:20:16,760 --> 00:20:19,400 Speaker 10: will be in office here in a few months, that's 392 00:20:19,520 --> 00:20:23,320 Speaker 10: where that's where we want to be tactically moving our 393 00:20:23,320 --> 00:20:26,120 Speaker 10: portfolios to worst mistake is to go to cash. And look, 394 00:20:26,160 --> 00:20:29,080 Speaker 10: this year is a perfect example. We have the best 395 00:20:29,119 --> 00:20:33,760 Speaker 10: election year through today for the markets that we've had 396 00:20:33,760 --> 00:20:36,639 Speaker 10: since the nineteen thirties. That's how good this year is. 397 00:20:36,960 --> 00:20:39,040 Speaker 10: It is not the time to be to go to cash, 398 00:20:39,320 --> 00:20:41,639 Speaker 10: to wait on the sidelines until you see how it 399 00:20:41,680 --> 00:20:44,560 Speaker 10: comes out. Right, So it's looking at where what do 400 00:20:44,600 --> 00:20:48,160 Speaker 10: you expect with the candidate that will win, tactically allocating 401 00:20:48,200 --> 00:20:49,320 Speaker 10: your portfolio. 402 00:20:48,960 --> 00:20:50,400 Speaker 11: For that and stay invested. 403 00:20:50,560 --> 00:20:53,280 Speaker 4: Yep, excellent stuff as always David Coodley, he's a founder, 404 00:20:53,320 --> 00:20:57,160 Speaker 4: chief executive officer in Chief Investment strategist at Mainstay Capital Management, 405 00:20:57,200 --> 00:20:59,240 Speaker 4: and David and his team are ranked in the top 406 00:20:59,359 --> 00:21:02,679 Speaker 4: ten on Baron's Top one hundred Independent Financial Advisors in 407 00:21:02,720 --> 00:21:05,400 Speaker 4: twenty twenty four. So we appreciate getting a few minutes 408 00:21:05,400 --> 00:21:05,800 Speaker 4: at this time. 409 00:21:07,280 --> 00:21:11,160 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 410 00:21:11,240 --> 00:21:14,760 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 411 00:21:14,800 --> 00:21:17,600 Speaker 2: Auto with the Bloomberg Business App. You can also listen 412 00:21:17,680 --> 00:21:20,800 Speaker 2: live on Amazon Alexa from our flagship New York station, 413 00:21:21,160 --> 00:21:23,920 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 414 00:21:25,000 --> 00:21:27,520 Speaker 3: Let's go to a really good story I today. I 415 00:21:27,560 --> 00:21:28,560 Speaker 3: mean Blackstone. 416 00:21:28,960 --> 00:21:31,240 Speaker 4: You know they got like aa jillion dollars under management 417 00:21:31,280 --> 00:21:34,040 Speaker 4: to Stock. They put up some good numbers recently, just today, 418 00:21:34,320 --> 00:21:37,440 Speaker 4: stock up five percent today, up twenty eight percent. 419 00:21:37,240 --> 00:21:39,720 Speaker 3: Year to date, fifty two week high. 420 00:21:39,760 --> 00:21:43,240 Speaker 4: Some phenomenal performance coming out of the good folks at Blackstone. 421 00:21:43,400 --> 00:21:44,760 Speaker 4: I want to break it down, and we do that 422 00:21:44,800 --> 00:21:48,639 Speaker 4: with Paul Goldberg. He's Bloomberg Intelligence senior equity analyst. Paul, 423 00:21:48,840 --> 00:21:52,280 Speaker 4: what is Blackstone and why and how are they executing 424 00:21:52,320 --> 00:21:54,800 Speaker 4: so well? Just tell us what Blackstone is in your mind, 425 00:21:54,840 --> 00:21:57,879 Speaker 4: and then what are they doing so well? Hi? 426 00:21:57,960 --> 00:21:58,240 Speaker 3: Paul? 427 00:21:58,920 --> 00:22:02,960 Speaker 12: Thank you for having me. Blackstone called themselves a juggernaut 428 00:22:03,000 --> 00:22:05,800 Speaker 12: this morning, and they called in a press release themselves 429 00:22:05,840 --> 00:22:08,840 Speaker 12: as sort of being a benchmark for the alternatives industry. 430 00:22:09,440 --> 00:22:13,119 Speaker 12: They are in private equity, private credit, really one of 431 00:22:13,119 --> 00:22:17,440 Speaker 12: the big private real estate investors. So all these businesses are, 432 00:22:18,200 --> 00:22:20,680 Speaker 12: some of them doing really well, some of them are 433 00:22:20,720 --> 00:22:23,920 Speaker 12: recovering from the kind of a lull in the last 434 00:22:23,960 --> 00:22:28,280 Speaker 12: two years, and it's growing. They reached to one point 435 00:22:28,320 --> 00:22:31,840 Speaker 12: one trillion dollars. So that's the largest alternative manager out there. 436 00:22:32,920 --> 00:22:35,280 Speaker 8: Let's talk a bit of real estate. Of course, I 437 00:22:35,400 --> 00:22:37,600 Speaker 8: view them as a bell whether I'm actually a US 438 00:22:37,960 --> 00:22:41,480 Speaker 8: real estate stocks reporter, I'm curious how are people viewing 439 00:22:41,520 --> 00:22:44,080 Speaker 8: Blackstone and a lot of its deals recently. Are we 440 00:22:44,200 --> 00:22:47,280 Speaker 8: seeing more activity happening in that sector specifically? 441 00:22:48,640 --> 00:22:51,640 Speaker 12: There it is, and they very specifically alluded to it. 442 00:22:51,680 --> 00:22:55,280 Speaker 12: They made a few very large ten billion plus deals 443 00:22:55,320 --> 00:22:58,080 Speaker 12: this year. They see in the bottom and the real 444 00:22:58,200 --> 00:23:01,439 Speaker 12: estate cycle. They also, I've seen private is being a 445 00:23:01,480 --> 00:23:05,520 Speaker 12: bit more aeriosyncratic than the public markets. So it doesn't 446 00:23:05,560 --> 00:23:07,639 Speaker 12: move necessarily in tend them. But as long as they 447 00:23:07,680 --> 00:23:10,399 Speaker 12: see the bottom, as long as they are seeing a 448 00:23:10,720 --> 00:23:13,840 Speaker 12: lower interest rate, trajectory that should be supportive in the 449 00:23:14,119 --> 00:23:17,320 Speaker 12: real estate space. The other thing is their real estate 450 00:23:17,400 --> 00:23:19,600 Speaker 12: is quite unique, right, So when we talk about real 451 00:23:19,720 --> 00:23:22,160 Speaker 12: estate and especially commercial, a lot of people think about 452 00:23:22,200 --> 00:23:25,240 Speaker 12: offices and these kinds of things. For them, it's mostly 453 00:23:25,560 --> 00:23:30,480 Speaker 12: data centers, infrastructure kind of real estate, multifamily, so different business. 454 00:23:30,560 --> 00:23:33,639 Speaker 12: And in the data centers they have over seventy billion 455 00:23:33,640 --> 00:23:36,280 Speaker 12: dollars of their one point one trillion just sitting in 456 00:23:36,320 --> 00:23:37,240 Speaker 12: those data centers. 457 00:23:38,160 --> 00:23:39,359 Speaker 4: And I like to just take a look when I 458 00:23:39,400 --> 00:23:43,680 Speaker 4: look at Blackstone. Stephen Schwartzman, the just the total Wall 459 00:23:43,720 --> 00:23:47,840 Speaker 4: Street mobilis seventy seven years of age, co founder of Blackstone. 460 00:23:47,840 --> 00:23:50,040 Speaker 4: He's got a net worth today fifty one point eight 461 00:23:50,080 --> 00:23:50,600 Speaker 4: billion dollars. 462 00:23:50,680 --> 00:23:51,560 Speaker 11: That's puts them on. 463 00:23:51,560 --> 00:23:55,720 Speaker 4: Number twenty four in the Bloomberg's Rich List. Credit to 464 00:23:55,760 --> 00:23:57,760 Speaker 4: talk to us about the credit business. Private credit business 465 00:23:57,800 --> 00:23:59,040 Speaker 4: got about thirty seconds in upon. 466 00:24:00,119 --> 00:24:02,640 Speaker 12: Us all about the credit. This quarter was led by 467 00:24:02,680 --> 00:24:06,359 Speaker 12: credit forty billion of inflows, twenty of them going into 468 00:24:06,400 --> 00:24:10,880 Speaker 12: the credit. All the upside in fees and performance it 469 00:24:10,920 --> 00:24:13,240 Speaker 12: was going through the credit and the growth of expectations 470 00:24:13,280 --> 00:24:15,240 Speaker 12: a lot of it just in the credit as well, 471 00:24:15,280 --> 00:24:18,120 Speaker 12: So very consistent with what we're hearing throughout the year 472 00:24:18,200 --> 00:24:19,560 Speaker 12: and other managers as well. 473 00:24:20,440 --> 00:24:22,159 Speaker 3: Paul, great stuff, Thank you so much for joining us. 474 00:24:22,160 --> 00:24:26,000 Speaker 4: Paul Goldberg, Senior equityannas Bloomberg Intelligence giving us the latest 475 00:24:26,280 --> 00:24:27,240 Speaker 4: on Blackstone. 476 00:24:27,320 --> 00:24:30,119 Speaker 3: B X is the ticker symbol, folks, so check it out. 477 00:24:30,200 --> 00:24:31,439 Speaker 3: Check out that chart. Just amazing. 478 00:24:32,080 --> 00:24:35,200 Speaker 4: Bloomberg News is out the reporting here. Blackstone's credit arm 479 00:24:35,320 --> 00:24:37,919 Speaker 4: is now its top business fueling profits. 480 00:24:37,960 --> 00:24:40,720 Speaker 3: They're in private equity, private credit, real estate. 481 00:24:40,760 --> 00:24:42,960 Speaker 4: So as Paul Goldberg was just saying, they are the 482 00:24:43,119 --> 00:24:48,840 Speaker 4: biggest alternative asset manager out there. Just extraordinary. That's Blackstone 483 00:24:48,920 --> 00:24:52,000 Speaker 4: and then there's black Rock. I mean, if these two 484 00:24:52,240 --> 00:24:54,840 Speaker 4: were together like they were back in the day, I 485 00:24:54,880 --> 00:24:59,399 Speaker 4: mean extraordinary. So just amazing. The private equity business continues, 486 00:24:59,480 --> 00:25:02,879 Speaker 4: an alternative asset management business continues to be just one of, 487 00:25:03,400 --> 00:25:06,240 Speaker 4: if not the best business on global Wall Street, and 488 00:25:06,840 --> 00:25:08,359 Speaker 4: the Black Zone folks are at the top of that. 489 00:25:10,000 --> 00:25:13,880 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 490 00:25:13,960 --> 00:25:17,480 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 491 00:25:17,520 --> 00:25:20,280 Speaker 2: Auto with the Bloomberg Business app. You can also listen 492 00:25:20,400 --> 00:25:23,520 Speaker 2: live on Amazon Alexa from our flagship New York station. 493 00:25:23,880 --> 00:25:26,919 Speaker 2: Just say, Alexa playing Bloomberg eleven thirty. 494 00:25:27,640 --> 00:25:29,639 Speaker 4: Bloma Limits sitting and for Alex steel on Paul Swiney 495 00:25:29,720 --> 00:25:31,760 Speaker 4: live here in our Bloomberg Interrectied Brooker Studio, and we're 496 00:25:31,760 --> 00:25:35,000 Speaker 4: streaming the video thing live on YouTube YouTube dot Com 497 00:25:35,000 --> 00:25:38,280 Speaker 4: search Bloomberg Podcast. One of the topics that Alex and 498 00:25:38,320 --> 00:25:40,199 Speaker 4: I and the folks here a Bloomberg intelligence like to 499 00:25:40,200 --> 00:25:43,080 Speaker 4: really keep a close eye on is commercial real estate 500 00:25:43,119 --> 00:25:45,680 Speaker 4: and its recovery from the pandemic. And our good friend 501 00:25:45,720 --> 00:25:48,440 Speaker 4: Abigail Duottle, she's been very good at helping us hook 502 00:25:48,520 --> 00:25:50,640 Speaker 4: up with some really smart people industry. Abigail doo Little 503 00:25:50,680 --> 00:25:53,680 Speaker 4: joints us here today, chief market correspondent for Bloomberg News, 504 00:25:54,000 --> 00:25:57,159 Speaker 4: and today she brings us Josh Ziegan, managing Princil, co 505 00:25:57,280 --> 00:26:00,399 Speaker 4: founder at Madison Realty Capital. They're on BLO and Briginner 506 00:26:00,400 --> 00:26:03,080 Speaker 4: Act the Broker Studio. Josh, we appreciate you coming in here. Abigail, 507 00:26:03,080 --> 00:26:04,960 Speaker 4: Thanks once again, Josh. 508 00:26:05,400 --> 00:26:06,240 Speaker 3: Commercial real estate. 509 00:26:06,280 --> 00:26:07,960 Speaker 4: I think what I've learned is I don't ask the 510 00:26:08,000 --> 00:26:10,199 Speaker 4: dumb question which I usually do, which hey, how's commercial 511 00:26:10,200 --> 00:26:13,320 Speaker 4: real estate doing? Because there are so many different pieces 512 00:26:13,359 --> 00:26:15,800 Speaker 4: of it. Where do you guys at Madison Real team 513 00:26:15,840 --> 00:26:17,520 Speaker 4: focus and then how's your business? 514 00:26:17,960 --> 00:26:20,919 Speaker 5: So we're focused on the real estate credit space. We 515 00:26:20,960 --> 00:26:23,080 Speaker 5: started the company about twenty years ago. We've about twenty 516 00:26:23,080 --> 00:26:25,879 Speaker 5: one billion of AUM and all ends of real estate credit. 517 00:26:26,560 --> 00:26:29,040 Speaker 5: A lot of our business is focused on where the 518 00:26:29,080 --> 00:26:32,280 Speaker 5: banks have not focused and we're dislocated post global financial 519 00:26:32,280 --> 00:26:35,199 Speaker 5: crisis and even more so today post banking crisis that 520 00:26:35,200 --> 00:26:38,679 Speaker 5: happened in twenty twenty three. So we've been providing capital, 521 00:26:38,720 --> 00:26:42,280 Speaker 5: whether it's construction lending, transitional lending. We buy performing non 522 00:26:42,280 --> 00:26:45,520 Speaker 5: performing loans, and today the market is a lot better 523 00:26:45,560 --> 00:26:48,399 Speaker 5: than when I was on in the spring. There's definitely 524 00:26:48,520 --> 00:26:52,000 Speaker 5: a sense of the want to do deals. The investment 525 00:26:52,040 --> 00:26:54,720 Speaker 5: sales market has picked up given the rate drop that 526 00:26:54,800 --> 00:26:57,560 Speaker 5: happened in September. A lot we're waiting on the sidelines 527 00:26:57,640 --> 00:27:00,359 Speaker 5: just to see that happen. So mentally, there's this sense 528 00:27:00,400 --> 00:27:03,439 Speaker 5: that things are starting to improve and capital markets are 529 00:27:03,440 --> 00:27:06,280 Speaker 5: in a better place, albeit the banking sector has not 530 00:27:06,320 --> 00:27:07,359 Speaker 5: come back in a big way. 531 00:27:08,119 --> 00:27:10,399 Speaker 13: So you joined us in May, and at that time, 532 00:27:10,800 --> 00:27:13,080 Speaker 13: I would say were one of the more bearish commercial 533 00:27:13,080 --> 00:27:17,000 Speaker 13: real estate. I guess that we've been fortunate enough to 534 00:27:17,040 --> 00:27:19,439 Speaker 13: interview and I view you relative to some of the 535 00:27:19,440 --> 00:27:22,040 Speaker 13: other folks as really close to the banks or really 536 00:27:22,040 --> 00:27:23,440 Speaker 13: close to the money. You were talking a lot about 537 00:27:23,440 --> 00:27:24,679 Speaker 13: the banks and you said that we were in the 538 00:27:24,720 --> 00:27:27,399 Speaker 13: early innings of this thing working out. How much has 539 00:27:27,400 --> 00:27:30,280 Speaker 13: it changed since then with the FED cutting by fifty 540 00:27:30,320 --> 00:27:30,959 Speaker 13: basis points. 541 00:27:31,200 --> 00:27:33,639 Speaker 5: Well, I think what we've seen is in the spring, 542 00:27:33,720 --> 00:27:36,840 Speaker 5: there was very very little activity investment sale market, and 543 00:27:37,000 --> 00:27:40,000 Speaker 5: one of the problems was money was not going back 544 00:27:40,040 --> 00:27:43,359 Speaker 5: to investors through that because no transactions were happening. So 545 00:27:43,480 --> 00:27:46,400 Speaker 5: with rates dropping, I think what happened was that created 546 00:27:46,440 --> 00:27:50,359 Speaker 5: some solutions for barwers who needed to delever, and that 547 00:27:50,480 --> 00:27:53,919 Speaker 5: is in the form of preferred equities, some structured equity 548 00:27:53,920 --> 00:27:56,800 Speaker 5: coming into deals. Today there's not only that solution available, 549 00:27:56,880 --> 00:27:59,320 Speaker 5: but there's also commonect equity and you're starting to see 550 00:27:59,359 --> 00:28:03,679 Speaker 5: more sales. Albeit the office sector is really struggling still. 551 00:28:03,880 --> 00:28:06,000 Speaker 5: There's no liquidity in the office sector, and when you 552 00:28:06,040 --> 00:28:09,320 Speaker 5: are seeing transaction that happen, capital is just tied up 553 00:28:09,320 --> 00:28:11,520 Speaker 5: in the system because a lot of the sellers are 554 00:28:11,520 --> 00:28:14,119 Speaker 5: holding financing banks are rolling over their debt. It's not 555 00:28:14,240 --> 00:28:16,320 Speaker 5: just money back to investors, so that's tying up a 556 00:28:16,359 --> 00:28:17,520 Speaker 5: lot of capital in the system. 557 00:28:18,240 --> 00:28:21,240 Speaker 8: I cover US real estate from the equity side, A 558 00:28:21,280 --> 00:28:24,280 Speaker 8: cover homebuilders and then also commercial real estate. I'm curious 559 00:28:24,320 --> 00:28:26,480 Speaker 8: you mentioned office. I was recently working on a story 560 00:28:26,520 --> 00:28:28,240 Speaker 8: that spoke about how we're seeing a bit of an 561 00:28:28,320 --> 00:28:30,600 Speaker 8: uptake on Park Avenue. It's not as bad as it 562 00:28:30,640 --> 00:28:33,800 Speaker 8: once was. As we think about vacancies, what areas are 563 00:28:33,880 --> 00:28:36,760 Speaker 8: you seeing flourishing or doing better than they were before 564 00:28:36,960 --> 00:28:38,160 Speaker 8: In the office space. 565 00:28:38,040 --> 00:28:40,280 Speaker 5: Well, I think you're seeing sort of the haves and 566 00:28:40,320 --> 00:28:43,520 Speaker 5: have nots in office. It's the best in a class 567 00:28:43,800 --> 00:28:46,680 Speaker 5: office and then there's everyone else. And unfortunately, that best 568 00:28:46,720 --> 00:28:49,720 Speaker 5: of a class office is very limited in New York City. Yeah, 569 00:28:49,760 --> 00:28:52,400 Speaker 5: there's more buildings than a place like Austin, Texas or 570 00:28:52,400 --> 00:28:54,720 Speaker 5: some other places, but it's limited. What I have seen 571 00:28:54,720 --> 00:28:57,239 Speaker 5: in the office sector is much more leasing demand. So 572 00:28:57,280 --> 00:28:59,920 Speaker 5: while the leasing demand and absorption is happening a much 573 00:29:00,080 --> 00:29:03,920 Speaker 5: greater way, it still is challenging from a cap rate perspective. 574 00:29:03,960 --> 00:29:06,280 Speaker 5: So you may have a one hundred percent office, one 575 00:29:06,360 --> 00:29:09,160 Speaker 5: hundred percent lease office building, or ninety percent lease office building, 576 00:29:09,360 --> 00:29:11,480 Speaker 5: but that cap rate as compared to twenty twenty one 577 00:29:11,680 --> 00:29:14,040 Speaker 5: is very, very different, and so that's a change in 578 00:29:14,120 --> 00:29:17,440 Speaker 5: valuation that investors are not able to stomach and in 579 00:29:17,480 --> 00:29:19,520 Speaker 5: many cases can't get out of these deals today. 580 00:29:20,080 --> 00:29:23,520 Speaker 4: Hey, Josh, just kind of before the pandemic. In mike 581 00:29:23,560 --> 00:29:27,400 Speaker 4: Town in Jersey, they constructed a multi very nice, high end, 582 00:29:27,480 --> 00:29:32,000 Speaker 4: multi multi unit residential thing and a big sign out front, 583 00:29:32,080 --> 00:29:36,520 Speaker 4: financed by the local bank. If I go to build 584 00:29:36,520 --> 00:29:38,160 Speaker 4: that same property today, is that look a bank going 585 00:29:38,200 --> 00:29:38,800 Speaker 4: to be there for me? 586 00:29:38,960 --> 00:29:41,360 Speaker 5: So it's a good question. So that bank generally is 587 00:29:41,440 --> 00:29:44,200 Speaker 5: not there, and why because banks have a liquidity mismatch. 588 00:29:44,400 --> 00:29:46,920 Speaker 5: They were committing long for a construction loan like that 589 00:29:47,280 --> 00:29:50,719 Speaker 5: and borrowing short with deposits. So banks have been scrutinized 590 00:29:50,760 --> 00:29:53,560 Speaker 5: even more so today from a regulatory standpoint. And so 591 00:29:53,840 --> 00:29:56,400 Speaker 5: it was really bad post global financial crisis and became 592 00:29:56,480 --> 00:30:01,440 Speaker 5: even greater from a regulatory standpoint post March twenty twenty three. 593 00:30:01,760 --> 00:30:03,680 Speaker 5: So we're filling that void. We are doing a lot 594 00:30:03,680 --> 00:30:07,400 Speaker 5: of construction lending, which is today a lot lower from 595 00:30:07,400 --> 00:30:09,880 Speaker 5: a loan to cost standpoint than we had to provide 596 00:30:09,880 --> 00:30:13,400 Speaker 5: in twenty twenty one before this banking crisis. So we're 597 00:30:13,440 --> 00:30:16,280 Speaker 5: providing whole loans to that same Jersey developer to build 598 00:30:16,280 --> 00:30:20,120 Speaker 5: a multifamily, and the good news for multifamily as specific 599 00:30:20,160 --> 00:30:22,000 Speaker 5: in New Jersey and across the country is we have 600 00:30:22,120 --> 00:30:25,080 Speaker 5: seen cap rates titan since the spring when I was 601 00:30:25,120 --> 00:30:27,280 Speaker 5: on the show, by fifty to one hundred basis points, 602 00:30:27,480 --> 00:30:29,280 Speaker 5: and a lot of that's a function of debt. I mean, 603 00:30:29,280 --> 00:30:31,920 Speaker 5: when you look at debt with rates down today, long 604 00:30:32,000 --> 00:30:34,280 Speaker 5: term rates are down and short term rates are down 605 00:30:34,320 --> 00:30:38,280 Speaker 5: to some extent. One of the problems with construction lending 606 00:30:38,400 --> 00:30:41,680 Speaker 5: and higher value add lending is you're borrowing short and 607 00:30:41,760 --> 00:30:44,680 Speaker 5: so that's an issue. There still is not necessarily the 608 00:30:44,720 --> 00:30:48,800 Speaker 5: appetite to build because of the cost of short term debt. 609 00:30:48,440 --> 00:30:48,680 Speaker 9: You know. 610 00:30:48,720 --> 00:30:51,160 Speaker 13: So picking up on Paul's question and picking up on 611 00:30:51,160 --> 00:30:53,080 Speaker 13: what you just talked about with regulation, some of my 612 00:30:53,160 --> 00:30:55,640 Speaker 13: sources have said that because it's an election, you're the 613 00:30:55,720 --> 00:31:00,720 Speaker 13: regulators have actually been relatively lax and trust what you 614 00:31:00,920 --> 00:31:03,000 Speaker 13: just said. But the idea, I guess my question is 615 00:31:03,200 --> 00:31:05,680 Speaker 13: do you think that the regulation could even become tighter 616 00:31:05,760 --> 00:31:07,520 Speaker 13: next year? And then at that point are we going 617 00:31:07,560 --> 00:31:09,400 Speaker 13: to see more svbs? In other words, are we going 618 00:31:09,440 --> 00:31:10,840 Speaker 13: to see some of these regional banks? Is they are 619 00:31:10,840 --> 00:31:13,680 Speaker 13: more pain there in terms of blowing up our consolidation. 620 00:31:13,800 --> 00:31:16,520 Speaker 5: I think it's a more politically oriented question in terms 621 00:31:16,560 --> 00:31:19,600 Speaker 5: of the election, really who wins here, But no matter what, 622 00:31:19,840 --> 00:31:20,400 Speaker 5: I so there's. 623 00:31:20,240 --> 00:31:21,480 Speaker 13: A difference who wins. 624 00:31:22,400 --> 00:31:26,080 Speaker 5: I think directionally you will see more consolidation, and a 625 00:31:26,080 --> 00:31:27,880 Speaker 5: lot of that has to do with banks are upside 626 00:31:27,880 --> 00:31:30,360 Speaker 5: down in terms of having long term loans that are 627 00:31:30,400 --> 00:31:33,640 Speaker 5: at very low rates, and those aren't rolling off so 628 00:31:33,760 --> 00:31:37,000 Speaker 5: quick and they're matched with liquidity that the bank has 629 00:31:37,080 --> 00:31:38,680 Speaker 5: to pay the positor a lot more than they did 630 00:31:38,680 --> 00:31:40,840 Speaker 5: in twenty twenty one when the loans were made. So 631 00:31:40,880 --> 00:31:43,360 Speaker 5: I think you will see more consolidation in the banking sector. 632 00:31:44,240 --> 00:31:48,800 Speaker 5: And oh so, I think you will see more consolidation. 633 00:31:48,960 --> 00:31:50,880 Speaker 5: You start to see more of that already in this year, 634 00:31:51,400 --> 00:31:52,880 Speaker 5: but you'll see more in years to come. 635 00:31:53,120 --> 00:31:54,640 Speaker 13: Well, I just really want to pick up on that 636 00:31:54,720 --> 00:31:57,400 Speaker 13: election thing though, because I haven't heard anybody say that 637 00:31:58,000 --> 00:32:00,360 Speaker 13: it matters who wins. So were you making the point 638 00:32:00,360 --> 00:32:03,640 Speaker 13: that if the former president Donald Trump wins, or if 639 00:32:03,680 --> 00:32:07,000 Speaker 13: for or the current VP Harris if she wins, there's 640 00:32:07,040 --> 00:32:09,120 Speaker 13: going to be a difference in regulation. And if there is, 641 00:32:09,200 --> 00:32:10,000 Speaker 13: what does it look like. 642 00:32:10,480 --> 00:32:12,720 Speaker 5: I mean, I can't speak to specifics, but there's a 643 00:32:12,760 --> 00:32:16,160 Speaker 5: view that will be well, there'll be more regulatory pressure 644 00:32:16,680 --> 00:32:21,400 Speaker 5: from regulators in a democratic significantly more can't comment really, 645 00:32:21,520 --> 00:32:24,080 Speaker 5: you know, I don't know, but more you'll be more, 646 00:32:24,360 --> 00:32:25,760 Speaker 5: all right, Josh, thanks so much for journey. 647 00:32:25,800 --> 00:32:26,480 Speaker 3: Us really appreciate it. 648 00:32:26,560 --> 00:32:30,120 Speaker 4: Jos Ziegen, Managing Principle, A co founder and Madison Realty 649 00:32:30,200 --> 00:32:34,360 Speaker 4: Capital in Abco Dolittle, Chief Markets correspondent for Bloomberg News 650 00:32:34,440 --> 00:32:36,280 Speaker 4: in our Bloomberg and aarct approp Pro studio, just kind 651 00:32:36,280 --> 00:32:39,040 Speaker 4: of get the laid down on the real estate business. 652 00:32:40,480 --> 00:32:44,400 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 653 00:32:44,440 --> 00:32:47,960 Speaker 2: weekdays at ten am Eastern on applecar Play and Androyd 654 00:32:48,000 --> 00:32:50,760 Speaker 2: Auto with the Bloomberg Business at You can also listen 655 00:32:50,920 --> 00:32:54,000 Speaker 2: live on Amazon Alexa from our flagship New York station 656 00:32:54,360 --> 00:32:59,400 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 657 00:32:58,920 --> 00:33:01,000 Speaker 4: Normal, Linda sitting in front Alex deal on Paul Sweeney. 658 00:33:01,000 --> 00:33:02,520 Speaker 4: You're live here in our Bloomberg and an Actor Broker 659 00:33:02,560 --> 00:33:06,040 Speaker 4: studio or streaming live on YouTube as well, So go 660 00:33:06,160 --> 00:33:08,480 Speaker 4: check us out there. Just got back from a little 661 00:33:08,520 --> 00:33:11,520 Speaker 4: one day corporate travel gig. Alex and I went down 662 00:33:11,560 --> 00:33:14,160 Speaker 4: to the Hilton Head Island or down to Kiwa for 663 00:33:14,720 --> 00:33:15,640 Speaker 4: a client event. 664 00:33:16,160 --> 00:33:18,040 Speaker 3: Travel one. Fine, that's great. 665 00:33:18,080 --> 00:33:20,440 Speaker 8: You were in United, right, what's you were on United? 666 00:33:20,680 --> 00:33:23,240 Speaker 3: Down on Delta back on United? So both good? 667 00:33:23,280 --> 00:33:23,400 Speaker 2: Oh? 668 00:33:23,440 --> 00:33:23,640 Speaker 11: Good? 669 00:33:24,520 --> 00:33:24,800 Speaker 3: Packed? 670 00:33:24,880 --> 00:33:26,640 Speaker 4: I don't know the place was packed. I think people 671 00:33:26,640 --> 00:33:29,760 Speaker 4: are back out there traveling again. Here and my thing 672 00:33:29,800 --> 00:33:32,480 Speaker 4: on travel, I only travel. Somebody pays me to travel 673 00:33:32,560 --> 00:33:33,080 Speaker 4: as you should. 674 00:33:33,240 --> 00:33:35,840 Speaker 3: I'm just like I like that philosophy. 675 00:33:35,360 --> 00:33:38,160 Speaker 4: Exist anyway, I've been pretty much everywhere you need to go. 676 00:33:38,240 --> 00:33:40,400 Speaker 4: I think James Thornton joins us. He's a CEO of 677 00:33:40,480 --> 00:33:45,920 Speaker 4: Intrepid Travel, joining us from London via Zoom. James talk 678 00:33:45,960 --> 00:33:48,200 Speaker 4: to us about I love to get your perspective, just 679 00:33:48,280 --> 00:33:51,239 Speaker 4: kind of as you look at maybe business travel. What 680 00:33:51,320 --> 00:33:54,200 Speaker 4: are most companies doing in terms of business travel these 681 00:33:54,280 --> 00:33:55,720 Speaker 4: days versus pre pandemic? 682 00:33:55,760 --> 00:33:57,560 Speaker 3: Are we back to those levels? Will we get back 683 00:33:57,560 --> 00:33:58,640 Speaker 3: to those levels? Where are we? 684 00:34:01,000 --> 00:34:02,920 Speaker 1: Yeah, we're definitely back to the levels, Paul. I think 685 00:34:02,920 --> 00:34:06,080 Speaker 1: there was a misconception during the pandemic that the business 686 00:34:06,120 --> 00:34:09,440 Speaker 1: travel environment wouldn't recover and we'd all be stuck on 687 00:34:09,560 --> 00:34:13,680 Speaker 1: zoom and be meeting remotely. But we're seeing that airplanes 688 00:34:13,680 --> 00:34:17,239 Speaker 1: are full. Business travel, corporate travel clients are up. 689 00:34:17,200 --> 00:34:17,839 Speaker 2: Year on year. 690 00:34:18,600 --> 00:34:21,360 Speaker 1: Nothing beats being together face to face. So yeah, business 691 00:34:21,400 --> 00:34:23,960 Speaker 1: travel is back and people are flying around a meeting again. 692 00:34:24,840 --> 00:34:26,880 Speaker 8: So of course everyone likes to keep in mind the 693 00:34:26,920 --> 00:34:30,880 Speaker 8: idea of limiting our carbon footprint. I'm curious, how are 694 00:34:31,080 --> 00:34:33,279 Speaker 8: business companies, How are they thinking about this when we 695 00:34:33,320 --> 00:34:37,719 Speaker 8: think about business travel, our companies being mindful or is 696 00:34:38,160 --> 00:34:40,319 Speaker 8: ESG a buzzword that's been left in the past. How 697 00:34:40,360 --> 00:34:42,080 Speaker 8: are we thinking about that now in twenty twenty four. 698 00:34:44,760 --> 00:34:48,640 Speaker 1: Yeah, look, I think companies are becoming increasingly mindful about 699 00:34:48,719 --> 00:34:53,360 Speaker 1: their carbon outputs, particularly when it comes to their staff travel, 700 00:34:53,800 --> 00:34:56,319 Speaker 1: but also in the sense of the way in which 701 00:34:56,360 --> 00:34:58,600 Speaker 1: customers are thinking about their right in theies too. At 702 00:34:58,600 --> 00:35:02,800 Speaker 1: Intrepid Travel, we've reached launched carbon and labeled carbon labeling 703 00:35:02,840 --> 00:35:05,840 Speaker 1: program on five hundred of our itineries around the world, 704 00:35:06,320 --> 00:35:09,400 Speaker 1: and we display a number about the CO two emissions 705 00:35:09,400 --> 00:35:10,799 Speaker 1: that come from our trips. Is a bit like a 706 00:35:10,840 --> 00:35:14,120 Speaker 1: food label if you like, so customers can calculate how 707 00:35:14,200 --> 00:35:18,960 Speaker 1: much carbon emissions per traveler come from their trip applications. 708 00:35:19,000 --> 00:35:22,480 Speaker 1: So customer things be more interested in the carbon outputs 709 00:35:22,480 --> 00:35:24,200 Speaker 1: of their traveling experiences. 710 00:35:24,840 --> 00:35:27,160 Speaker 4: You know you mentioned I just completed I did a 711 00:35:27,280 --> 00:35:30,520 Speaker 4: one on a tour of Ireland. Fantastic by the way, 712 00:35:30,560 --> 00:35:34,160 Speaker 4: and the Irish love me of course being from there. 713 00:35:35,000 --> 00:35:38,080 Speaker 4: But on the questionnaire afterwards, like how is the trip? 714 00:35:38,080 --> 00:35:40,440 Speaker 4: And it was awesome, off the charts, and then they 715 00:35:40,440 --> 00:35:42,720 Speaker 4: asked about the carbon footprint and I said, I could 716 00:35:42,760 --> 00:35:44,800 Speaker 4: not care less. Can you please just let me have 717 00:35:44,840 --> 00:35:47,520 Speaker 4: a vacation and just enjoy myself. But James, I think 718 00:35:47,520 --> 00:35:50,680 Speaker 4: I'm into my minority. I think travelers more and more 719 00:35:50,719 --> 00:35:54,680 Speaker 4: are thinking about the carbon footprint of the plane they take, 720 00:35:54,760 --> 00:35:58,960 Speaker 4: the cruise ship they take. How does the industry adapt 721 00:35:58,960 --> 00:35:59,279 Speaker 4: to that? 722 00:36:01,840 --> 00:36:02,040 Speaker 5: Yeah? 723 00:36:02,080 --> 00:36:04,920 Speaker 1: Absolutely, Paul. Look, I think there's two really important points here. One, 724 00:36:05,080 --> 00:36:09,400 Speaker 1: it's critically important that people have great holiday experiences. You know, 725 00:36:09,440 --> 00:36:11,600 Speaker 1: it's vitally important. We all go on holiday to relax, 726 00:36:11,680 --> 00:36:14,560 Speaker 1: to enjoy ourselves, to have fun, to try the local 727 00:36:14,600 --> 00:36:17,400 Speaker 1: food and enjoy a well aired break. But at the 728 00:36:17,400 --> 00:36:19,799 Speaker 1: same point, we also want, as much as possible make 729 00:36:19,800 --> 00:36:22,760 Speaker 1: sure that we're having a lighter impact upon the environment, 730 00:36:22,760 --> 00:36:25,359 Speaker 1: and we're trying to benefit local communities as much as 731 00:36:25,400 --> 00:36:28,160 Speaker 1: we possibly can. And that's why business is like in 732 00:36:28,200 --> 00:36:31,400 Speaker 1: Prepid are putting carbon labeling onto our itineries so that 733 00:36:31,480 --> 00:36:35,239 Speaker 1: customers can make more informed decision making choices. Absolutely, they 734 00:36:35,280 --> 00:36:37,040 Speaker 1: want to have a great trip, but they also want 735 00:36:37,080 --> 00:36:40,400 Speaker 1: to be aware about limiting the impact on the environment. 736 00:36:41,000 --> 00:36:43,560 Speaker 8: And how are we thinking about this on an international scale. 737 00:36:43,560 --> 00:36:46,080 Speaker 8: I'm thinking about Paul talking about this trip to Ireland, 738 00:36:46,360 --> 00:36:49,360 Speaker 8: and I wonder if the US are we behind in 739 00:36:49,400 --> 00:36:52,400 Speaker 8: some of these efforts to really limit that carbon footprint. 740 00:36:52,400 --> 00:36:54,400 Speaker 8: How are you seeing this internationally? 741 00:36:56,760 --> 00:36:59,000 Speaker 1: Yeah, look, I think Europe is certainly leading the way, 742 00:36:59,000 --> 00:37:01,839 Speaker 1: both from a legislate but also consumer points of view, 743 00:37:01,920 --> 00:37:04,160 Speaker 1: But I would say that the US is all stay 744 00:37:04,200 --> 00:37:07,400 Speaker 1: catching up, and we're certainly seeing demand from customers that 745 00:37:07,480 --> 00:37:11,120 Speaker 1: want to travel in a more sustainable, immersive way. Of course, 746 00:37:11,120 --> 00:37:12,359 Speaker 1: they want to get out and they want to see 747 00:37:12,360 --> 00:37:14,799 Speaker 1: the iconic sites, but they also want to try and 748 00:37:14,840 --> 00:37:17,840 Speaker 1: make sure that their tourism dollars are staying within the 749 00:37:17,880 --> 00:37:20,480 Speaker 1: local communities. And that's why we're seeing a real desire 750 00:37:20,560 --> 00:37:24,759 Speaker 1: for people to travel on intrepid style of sustainable experience 751 00:37:24,880 --> 00:37:28,000 Speaker 1: rich travel using different types of local transport, you staying 752 00:37:28,040 --> 00:37:31,000 Speaker 1: in different types of local accommodation and really getting under 753 00:37:31,040 --> 00:37:34,120 Speaker 1: the skin of a destination and hopefully having some amazing 754 00:37:34,120 --> 00:37:35,400 Speaker 1: holiday experiences. 755 00:37:35,680 --> 00:37:36,680 Speaker 3: So what are we seeing. 756 00:37:36,480 --> 00:37:41,640 Speaker 4: Here, James about some of those experiential trips as you mentioned, 757 00:37:41,640 --> 00:37:43,560 Speaker 4: and we saw that coming out of the pandemic. People, 758 00:37:44,160 --> 00:37:46,800 Speaker 4: I guess during the pandemic they buy stuff and goods, 759 00:37:46,840 --> 00:37:50,000 Speaker 4: but coming out of it, they wanted experiences. So they're 760 00:37:50,000 --> 00:37:52,640 Speaker 4: not just going to the typical like what I would 761 00:37:52,640 --> 00:37:52,960 Speaker 4: do is. 762 00:37:52,920 --> 00:37:54,520 Speaker 3: Just go to a golf resort or beach resort. 763 00:37:54,520 --> 00:37:56,279 Speaker 4: They're doing different things. What are some of the more 764 00:37:56,320 --> 00:37:57,520 Speaker 4: popular tours that you guys do. 765 00:37:59,000 --> 00:37:59,239 Speaker 5: Yeah. 766 00:37:59,239 --> 00:38:01,920 Speaker 1: Absolutely, I think we're living in the experiences of economy. Well, 767 00:38:01,960 --> 00:38:04,560 Speaker 1: people are desperate to get out, having been caught up 768 00:38:04,560 --> 00:38:07,000 Speaker 1: at home during the course of the pandemic and travel 769 00:38:07,040 --> 00:38:09,480 Speaker 1: being taken away as a right for people. They want 770 00:38:09,520 --> 00:38:10,960 Speaker 1: to give back out and they want to see the 771 00:38:11,160 --> 00:38:15,000 Speaker 1: iconic destinations. So we're seeing really big demand for destinations 772 00:38:15,080 --> 00:38:18,600 Speaker 1: like a Japan for example. You know, great immersive destination 773 00:38:18,719 --> 00:38:20,200 Speaker 1: where you can get out and you can have great 774 00:38:20,200 --> 00:38:23,080 Speaker 1: food experiences, but it's a bit more challenging to travel 775 00:38:23,080 --> 00:38:26,239 Speaker 1: around independently by yourself, and that's why using reliable tour 776 00:38:26,280 --> 00:38:29,560 Speaker 1: operators like Intrepid is a great way to get out 777 00:38:29,600 --> 00:38:32,800 Speaker 1: and see a destination. We're seeing Europe boom, particularly in 778 00:38:32,840 --> 00:38:34,880 Speaker 1: the shoulder seasons, getting out of that kind of peak 779 00:38:35,120 --> 00:38:37,279 Speaker 1: travel period of July and August when it's hot and 780 00:38:37,280 --> 00:38:39,600 Speaker 1: it's stuffy and it's crowded. Seeing a lot of demand 781 00:38:39,640 --> 00:38:43,040 Speaker 1: into Europe, particularly around those shoulder seasons of April May 782 00:38:43,080 --> 00:38:45,440 Speaker 1: and also September October. It's a little bit cooler and 783 00:38:45,520 --> 00:38:46,480 Speaker 1: the crowds are a little. 784 00:38:46,320 --> 00:38:50,560 Speaker 8: Bit less, So James. From a legislative perspective, how are 785 00:38:50,600 --> 00:38:53,080 Speaker 8: companies being held accountable? Of course there's a lot of 786 00:38:53,080 --> 00:38:55,440 Speaker 8: business travel. We may fly out for one day and 787 00:38:55,560 --> 00:38:57,640 Speaker 8: come back. There's a lot of things that are going 788 00:38:57,680 --> 00:39:01,080 Speaker 8: on in that making that decision. All are businesses being 789 00:39:01,120 --> 00:39:02,040 Speaker 8: held accountable for this? 790 00:39:03,880 --> 00:39:07,160 Speaker 1: Yeah, at the moment they're not, Nora, I think businesses 791 00:39:07,239 --> 00:39:09,320 Speaker 1: are they going to start to be held accountable for 792 00:39:09,920 --> 00:39:13,000 Speaker 1: what they say. What we're not seeing quite yet is 793 00:39:13,080 --> 00:39:16,520 Speaker 1: businesses being accountable for what they do. And so we're 794 00:39:16,520 --> 00:39:20,760 Speaker 1: certainly seeing, particularly driven out of Europe legislation to ensure 795 00:39:20,800 --> 00:39:23,920 Speaker 1: that companies are not greenwashing and they're advertising, and we 796 00:39:24,000 --> 00:39:26,640 Speaker 1: think companies being picked up when they are making big, 797 00:39:26,640 --> 00:39:29,320 Speaker 1: bold claims around being good for the environment, but people 798 00:39:29,320 --> 00:39:32,360 Speaker 1: are jumping on planes. So not only is it about 799 00:39:32,360 --> 00:39:34,560 Speaker 1: what people say in their advertising. Soon, we're going to 800 00:39:34,560 --> 00:39:37,640 Speaker 1: see legislation come in terms of the actual actions of 801 00:39:37,640 --> 00:39:40,319 Speaker 1: which companies are taking. And that's why I think it's 802 00:39:40,360 --> 00:39:43,360 Speaker 1: important that all companies are trying to take proactive steps 803 00:39:43,400 --> 00:39:47,160 Speaker 1: in terms of measuring their emissions, ideally offsetting their emissions, 804 00:39:47,200 --> 00:39:51,839 Speaker 1: but ultimately moving towards trying to decarbonize their activities, no 805 00:39:51,880 --> 00:39:53,239 Speaker 1: matter what industry they might be in. 806 00:39:54,480 --> 00:39:55,759 Speaker 3: James, thanks so much for joining us. 807 00:39:55,840 --> 00:39:57,719 Speaker 4: I really appreciate getting some of your thoughts there. James 808 00:39:57,760 --> 00:40:01,040 Speaker 4: Thornton needs the CEO of Intrepid Travel, joining us via 809 00:40:01,040 --> 00:40:03,719 Speaker 4: that zoom thing from London. Yeah, it took this my 810 00:40:03,760 --> 00:40:06,160 Speaker 4: first when I went to Ireland. There's so many things 811 00:40:06,160 --> 00:40:08,640 Speaker 4: you want to see. I've never taken like a tour before. 812 00:40:10,200 --> 00:40:11,640 Speaker 4: Maybe I'm getting to an age or that's kind of 813 00:40:11,680 --> 00:40:13,080 Speaker 4: what you do. I don't know, but there's so many 814 00:40:13,080 --> 00:40:14,319 Speaker 4: things you want to see in like a place like 815 00:40:14,360 --> 00:40:16,520 Speaker 4: Ireland that you have to do it that way, and 816 00:40:16,560 --> 00:40:18,759 Speaker 4: we did. We saw everything, so I feel good about 817 00:40:18,760 --> 00:40:19,839 Speaker 4: it and I'd recommend it. 818 00:40:19,920 --> 00:40:22,200 Speaker 8: I was in Dublin back in April. Okay, first I'm 819 00:40:22,200 --> 00:40:24,759 Speaker 8: going to Ireland. Didn't get to do the massive tour 820 00:40:24,800 --> 00:40:26,480 Speaker 8: that I would have loved to do, but it's such 821 00:40:26,480 --> 00:40:27,719 Speaker 8: a beautiful place it is. 822 00:40:28,000 --> 00:40:28,520 Speaker 3: It was good. 823 00:40:28,840 --> 00:40:31,759 Speaker 4: So we did, like Dublin up the Belfast over to 824 00:40:31,840 --> 00:40:35,160 Speaker 4: darry so got the Northern Ireland experience too, and it 825 00:40:35,239 --> 00:40:38,000 Speaker 4: is different from the Republic of Ireland still today. Then 826 00:40:38,000 --> 00:40:40,360 Speaker 4: you come back down back into the Republic of Ireland 827 00:40:41,280 --> 00:40:44,239 Speaker 4: into Westport and then Limericks so very cool. So hold 828 00:40:44,239 --> 00:40:45,800 Speaker 4: the north half of the island. We'll do the southern 829 00:40:45,800 --> 00:40:48,480 Speaker 4: half and again saw a couple of Sweeney as a 830 00:40:48,480 --> 00:40:51,319 Speaker 4: matter of fact, went the mass at our family church 831 00:40:51,560 --> 00:40:53,480 Speaker 4: in Belfast back from back in the day. 832 00:40:53,520 --> 00:40:56,400 Speaker 3: So that was pretty cool. Ireland, good, good times. 833 00:40:56,840 --> 00:41:01,360 Speaker 2: This is the Bloomberg Intelligence Podcast bull on Apples, Spotify 834 00:41:01,560 --> 00:41:04,759 Speaker 2: and anywhere else you get your podcasts. Listen live each 835 00:41:04,760 --> 00:41:08,320 Speaker 2: weekday ten am tonoon Eastern on Bloomberg dot Com, the 836 00:41:08,440 --> 00:41:11,880 Speaker 2: iHeartRadio app, tune In, and the Bloomberg Business app. You 837 00:41:11,920 --> 00:41:15,080 Speaker 2: can also watch us live every weekday on YouTube and 838 00:41:15,239 --> 00:41:16,840 Speaker 2: always on the Bloomberg terminal.