1 00:00:02,400 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:11,800 --> 00:00:14,880 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Paul Sweeney along 3 00:00:14,880 --> 00:00:17,240 Speaker 2: with Tom Keene. Join us each day for insight from 4 00:00:17,239 --> 00:00:20,760 Speaker 2: the best in economics, geopolitics, finance, and investment. You can 5 00:00:20,800 --> 00:00:24,439 Speaker 2: also watch the show live on YouTube. Visit the Bloomberg 6 00:00:24,480 --> 00:00:27,760 Speaker 2: Podcast channel on YouTube to see the show weekday mornings 7 00:00:27,760 --> 00:00:30,360 Speaker 2: from seven to ten Eastern Remarked Global headquarters in New 8 00:00:30,440 --> 00:00:33,720 Speaker 2: York City. Subscribe to the podcast on Apple, Spotify, or 9 00:00:33,760 --> 00:00:36,800 Speaker 2: anywhere else you listen, and as always on Bloomberg Radio, 10 00:00:36,840 --> 00:00:40,040 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app. Neil Grossman, 11 00:00:40,400 --> 00:00:44,479 Speaker 2: co founder at former CIO founder TKNG Capital, joins us 12 00:00:44,520 --> 00:00:49,520 Speaker 2: here in studio. He's also owns a vineyard. Where's your vineyard, Neil? 13 00:00:49,680 --> 00:00:53,000 Speaker 3: It's in the Milbrook area, up state New York. 14 00:00:53,040 --> 00:00:56,200 Speaker 2: State, in ther beautiful names. He always comes in bearing 15 00:00:56,200 --> 00:01:01,800 Speaker 2: a bottle wine. We appreciate that. It's yes, that's yeh. 16 00:01:02,000 --> 00:01:05,600 Speaker 2: Now you know Carol, you know Carol Master and Tim Senovik. 17 00:01:05,640 --> 00:01:08,080 Speaker 2: Occasionally in there after in Bloomberg Business Weeks, I'll see 18 00:01:08,080 --> 00:01:12,600 Speaker 2: bottles open Data studio. That that's how they play, that's 19 00:01:12,600 --> 00:01:13,440 Speaker 2: how they. 20 00:01:13,080 --> 00:01:15,240 Speaker 3: It adds a clarity to the way it does. 21 00:01:15,360 --> 00:01:18,160 Speaker 2: It does. Hey, we had a bunch of economic data. 22 00:01:18,200 --> 00:01:20,480 Speaker 2: We just got through an earning season. What's your view 23 00:01:20,480 --> 00:01:21,959 Speaker 2: of the world here. I mean, we've got a market 24 00:01:21,959 --> 00:01:23,399 Speaker 2: selling off a little bit today, but I mean we've 25 00:01:23,400 --> 00:01:25,520 Speaker 2: got a market that's S and P five hundred up, 26 00:01:25,560 --> 00:01:28,240 Speaker 2: double digits, yields coming in. What do you make of 27 00:01:28,280 --> 00:01:28,840 Speaker 2: this world we're in? 28 00:01:29,600 --> 00:01:32,600 Speaker 3: I'm more on the this but feels bubbleish a little bit. 29 00:01:32,640 --> 00:01:34,640 Speaker 3: I mean, let's take a look at Apple. I mean, 30 00:01:34,680 --> 00:01:37,520 Speaker 3: wonderful company, don't get me wrong, but somebody added three 31 00:01:37,560 --> 00:01:40,959 Speaker 3: to four hundred billion dollars in value on an announcement 32 00:01:41,000 --> 00:01:43,360 Speaker 3: that they're going into something. I mean, it's pretty staggering 33 00:01:43,360 --> 00:01:46,120 Speaker 3: when you think about it. I think when you watch 34 00:01:46,360 --> 00:01:49,480 Speaker 3: the internals a little bit, the size of the moves 35 00:01:49,480 --> 00:01:53,000 Speaker 3: of stocks based on a little miss, a little hit, 36 00:01:53,200 --> 00:01:56,560 Speaker 3: or a little expectation. I don't remember stuff like this 37 00:01:56,720 --> 00:01:58,680 Speaker 3: very much in the forty years I've been doing this. 38 00:01:59,160 --> 00:02:01,040 Speaker 4: Paul referring to the the FED meeting this week, and 39 00:02:01,040 --> 00:02:03,400 Speaker 4: I wonder how you were processing what we heard from 40 00:02:03,400 --> 00:02:05,840 Speaker 4: the FED, share what we saw in the dot plot 41 00:02:05,960 --> 00:02:09,080 Speaker 4: and the SEP. How are you navigating those data points, 42 00:02:09,080 --> 00:02:11,600 Speaker 4: and how's that sort of shaping your perpective. 43 00:02:12,200 --> 00:02:14,240 Speaker 3: I'm a little lighter than normal right now. I would 44 00:02:14,240 --> 00:02:18,880 Speaker 3: say there was one thing I actually heard in powell statement, 45 00:02:18,960 --> 00:02:22,040 Speaker 3: which you know, is something I think we have even 46 00:02:22,040 --> 00:02:26,799 Speaker 3: talked about. He made the comment that the annualization of 47 00:02:27,160 --> 00:02:29,800 Speaker 3: inflation data is going to be very hard to continue 48 00:02:29,840 --> 00:02:32,800 Speaker 3: to see improvement. I think we're in a range of 49 00:02:32,880 --> 00:02:34,400 Speaker 3: let's say, three and a quarter to four and a 50 00:02:34,440 --> 00:02:38,320 Speaker 3: half percent number one, number two inflation. Wow, I'm looking. 51 00:02:38,400 --> 00:02:43,280 Speaker 3: I use CPI, the PCE, and some of the other 52 00:02:43,280 --> 00:02:45,960 Speaker 3: stuff the FED uses to me is a slice. And 53 00:02:46,000 --> 00:02:49,480 Speaker 3: I understand somewhat why they like to eliminate a little 54 00:02:49,480 --> 00:02:53,600 Speaker 3: bit of volatility of things. But I think the discussions 55 00:02:54,200 --> 00:02:56,480 Speaker 3: in the large of why people don't feel good is 56 00:02:56,480 --> 00:02:59,360 Speaker 3: it's the bigger numbers that affect them. And there are 57 00:02:59,400 --> 00:03:01,880 Speaker 3: a lot of really interesting things. I mean, the cost 58 00:03:01,919 --> 00:03:04,800 Speaker 3: of ensuring things, as you know, the cost of buying cars, 59 00:03:05,200 --> 00:03:07,560 Speaker 3: some of the food costs, they're pretty staggering. And for 60 00:03:07,600 --> 00:03:11,720 Speaker 3: the average person, airfares hotels are off the charts, and 61 00:03:11,800 --> 00:03:15,440 Speaker 3: so you know the concept that maybe you're getting a 62 00:03:15,440 --> 00:03:17,760 Speaker 3: little bit of a slowing in the rate of growth 63 00:03:17,760 --> 00:03:20,320 Speaker 3: inflation if inflation, remember we're not we're still at three 64 00:03:20,360 --> 00:03:24,120 Speaker 3: to four five percent wherever it is three six I 65 00:03:24,120 --> 00:03:26,560 Speaker 3: think people are feeling it still, and I think that's 66 00:03:27,200 --> 00:03:29,600 Speaker 3: one of the issues. I did want to mention something 67 00:03:29,639 --> 00:03:32,440 Speaker 3: which I've been thinking about. I mean, there's been a 68 00:03:32,480 --> 00:03:35,400 Speaker 3: lot of talk for the last two years basically about 69 00:03:35,400 --> 00:03:39,520 Speaker 3: the inverted yield curve and why it has not indic 70 00:03:39,640 --> 00:03:42,280 Speaker 3: you know, lived up to the expectations as an indicator 71 00:03:43,000 --> 00:03:47,480 Speaker 3: of bad things to come. And I've been spending a 72 00:03:47,520 --> 00:03:51,640 Speaker 3: lot of time thinking about this. The idea may well 73 00:03:51,680 --> 00:03:54,080 Speaker 3: be that the inverted yield curve, given the structure of 74 00:03:54,080 --> 00:03:57,200 Speaker 3: the economy now, is actually stimulative more than not. There 75 00:03:57,200 --> 00:04:00,320 Speaker 3: are areas of the economy, obviously, like real estate, where hurts, 76 00:04:00,360 --> 00:04:02,840 Speaker 3: but if you think about it, long term meals are 77 00:04:02,840 --> 00:04:05,880 Speaker 3: still relatively low. In corporate America, if it wants to 78 00:04:05,920 --> 00:04:09,400 Speaker 3: borrow using a four percent base with very tight spreads, 79 00:04:09,920 --> 00:04:13,880 Speaker 3: long term borring costs so lower, So that's not a negative. 80 00:04:14,120 --> 00:04:18,839 Speaker 3: Short term money money for the average investor is throwing 81 00:04:18,880 --> 00:04:21,159 Speaker 3: off tons of yields. But on the other side, the 82 00:04:21,200 --> 00:04:23,720 Speaker 3: real cost of money, the large borrowing is coming out 83 00:04:23,720 --> 00:04:26,520 Speaker 3: of the government of the United States. So they're borrowing 84 00:04:26,960 --> 00:04:30,560 Speaker 3: staggering quantities, they're short funding it, and then they're taking 85 00:04:30,600 --> 00:04:33,120 Speaker 3: that money and it's running through the economy. So I 86 00:04:33,120 --> 00:04:35,919 Speaker 3: think there is some interesting dynamics which have helped us 87 00:04:35,920 --> 00:04:39,800 Speaker 3: support the economy a bit. We'll see as it goes 88 00:04:39,880 --> 00:04:40,520 Speaker 3: right now, but. 89 00:04:41,680 --> 00:04:43,839 Speaker 2: A lot of folks, Neil are saying that this FED 90 00:04:43,920 --> 00:04:45,919 Speaker 2: is already behind the curve that they should be cutting. 91 00:04:46,600 --> 00:04:48,000 Speaker 2: Now are you in that camp? 92 00:04:48,160 --> 00:04:48,320 Speaker 5: You know? 93 00:04:50,839 --> 00:04:56,200 Speaker 3: Look number one, they again there's an asymmetry to what 94 00:04:56,200 --> 00:04:59,000 Speaker 3: they do. One piece of data that looks good, and 95 00:04:59,800 --> 00:05:03,000 Speaker 3: they training the markets to go crazy. Six months. I 96 00:05:03,000 --> 00:05:05,000 Speaker 3: mean we're six months or a year from where we were. 97 00:05:05,120 --> 00:05:07,640 Speaker 3: The economy hasn't slowed, this argument. I know, you have 98 00:05:07,680 --> 00:05:09,960 Speaker 3: built Bill Dudley on who's an old friend of mine, 99 00:05:10,160 --> 00:05:14,279 Speaker 3: talking about about the neutral rate of interest rates and yeah, 100 00:05:14,320 --> 00:05:16,760 Speaker 3: wherever that falls. And again, I think this goes back 101 00:05:16,760 --> 00:05:20,600 Speaker 3: to some of the other questions. You know, central bankers, 102 00:05:20,600 --> 00:05:22,920 Speaker 3: and as you know, I was one for a while, 103 00:05:23,760 --> 00:05:26,240 Speaker 3: tend to look at the liability side of the economy. 104 00:05:26,360 --> 00:05:30,839 Speaker 3: They've never really, in my view, fully incorporated the asset side. 105 00:05:31,279 --> 00:05:35,320 Speaker 3: And I think we are in an asset positive environment 106 00:05:35,880 --> 00:05:38,440 Speaker 3: so you know, and every time that Fred opens its mouth, 107 00:05:38,480 --> 00:05:40,760 Speaker 3: of the market seems to get that it's, you know, 108 00:05:40,800 --> 00:05:45,240 Speaker 3: it's expectations up. What happens yields have hard yields fall 109 00:05:45,279 --> 00:05:46,960 Speaker 3: in the last couple of days, where one hundred basis 110 00:05:47,000 --> 00:05:50,279 Speaker 3: points lower and long term meals over a year, the 111 00:05:50,360 --> 00:05:54,800 Speaker 3: dollar starts to weaken. Stocks are throwing off value, and 112 00:05:55,680 --> 00:06:00,440 Speaker 3: so every time you liquefy it works against the idea 113 00:06:00,480 --> 00:06:02,960 Speaker 3: that you're going to get this sort of significant improvement 114 00:06:02,960 --> 00:06:04,760 Speaker 3: and inflation. So I think we're going to be waiting. 115 00:06:05,600 --> 00:06:07,600 Speaker 3: The last point is and I don't I know everyone's 116 00:06:07,640 --> 00:06:11,080 Speaker 3: talking about September. I think Powell went off on a 117 00:06:11,160 --> 00:06:14,000 Speaker 3: tangent last year because he was hoping he could get 118 00:06:14,040 --> 00:06:17,080 Speaker 3: something done before the election. I do not know unless 119 00:06:17,120 --> 00:06:22,520 Speaker 3: you get a significant downgrading in this economy how and 120 00:06:23,880 --> 00:06:27,320 Speaker 3: or a staggering drop in the prices, which I don't see. 121 00:06:27,680 --> 00:06:29,479 Speaker 3: I don't know how in front of this election, given 122 00:06:29,520 --> 00:06:32,960 Speaker 3: the polarization that that the FED really and I know 123 00:06:33,000 --> 00:06:35,159 Speaker 3: that this is not a political argument per se, but 124 00:06:35,880 --> 00:06:40,080 Speaker 3: the meeting immediately before a major, maybe one of the 125 00:06:40,080 --> 00:06:41,960 Speaker 3: most important elections for them to be doing that, I 126 00:06:42,000 --> 00:06:43,800 Speaker 3: think is going to be a very difficult thing, all. 127 00:06:43,760 --> 00:06:46,200 Speaker 2: Right, Neil, thanks so much for joining us in studio. 128 00:06:46,320 --> 00:06:48,760 Speaker 2: Neil Grossman, he is a co founder of former CIO 129 00:06:48,800 --> 00:06:51,960 Speaker 2: of t k n G Capital. Give him some thoughts 130 00:06:52,040 --> 00:06:55,520 Speaker 2: on these markets on this federal reserve. He is a 131 00:06:55,560 --> 00:06:58,000 Speaker 2: fed hawk. Let's just be clean and simple here. I 132 00:06:58,000 --> 00:07:00,000 Speaker 2: try to tee him up to kind of soften it 133 00:07:00,040 --> 00:07:13,360 Speaker 2: up a little bit, and nothing happening. Tech stocks continue 134 00:07:13,400 --> 00:07:14,840 Speaker 2: to be the story. I mean, I love when my 135 00:07:14,880 --> 00:07:17,760 Speaker 2: tech stocks are leading the market. I feel like that's 136 00:07:18,040 --> 00:07:20,880 Speaker 2: all we've known for the last this is it. I'm 137 00:07:20,920 --> 00:07:23,760 Speaker 2: all in, but I get a little nervous when like 138 00:07:23,960 --> 00:07:26,200 Speaker 2: that's kind of it. You know, there's not that breath 139 00:07:26,200 --> 00:07:28,600 Speaker 2: you like to see in the market. Let's talk to 140 00:07:28,720 --> 00:07:31,200 Speaker 2: a person kind of an expert in this stuff. Melissa Auto, 141 00:07:31,320 --> 00:07:34,640 Speaker 2: head of TMT research at Visible Alpha. Melissa, what's your 142 00:07:35,200 --> 00:07:39,040 Speaker 2: tech call these days? Are you comfortable with where these 143 00:07:39,080 --> 00:07:41,640 Speaker 2: companies are, with where their multiples are, with where their 144 00:07:41,680 --> 00:07:43,040 Speaker 2: earnings are? How do you think about it? 145 00:07:44,080 --> 00:07:48,280 Speaker 1: Thank you. I mean it's a really interesting time right 146 00:07:48,320 --> 00:07:50,600 Speaker 1: now for the tech stocks. I think what we're seeing 147 00:07:50,760 --> 00:07:55,600 Speaker 1: is that essentially garb is kind of worked growth. 148 00:07:55,320 --> 00:07:58,880 Speaker 2: At a reasonable price. Those of us old enough to remember. 149 00:07:58,600 --> 00:07:59,920 Speaker 4: That taking out my pencil. 150 00:08:00,080 --> 00:08:02,400 Speaker 1: Yes, right, So I mean stocks that are trading at 151 00:08:02,480 --> 00:08:07,240 Speaker 1: say twenty to thirty times are actually generating decent growth. 152 00:08:07,480 --> 00:08:09,760 Speaker 1: So when you think about the multiple that they're they're 153 00:08:09,800 --> 00:08:14,120 Speaker 1: generating or the ratio from that, it looks pretty reasonable, 154 00:08:14,640 --> 00:08:19,400 Speaker 1: So it doesn't seem like it's out of proportion. And 155 00:08:19,480 --> 00:08:22,560 Speaker 1: I mean, just coming out of the WWDC this week, 156 00:08:23,640 --> 00:08:25,960 Speaker 1: I mean Apple trades at a range of twenty seven 157 00:08:26,000 --> 00:08:31,560 Speaker 1: to say thirty two times based on forelooking estimates, you know, 158 00:08:31,640 --> 00:08:37,040 Speaker 1: And I think what we've observed is that, you know, 159 00:08:37,520 --> 00:08:42,080 Speaker 1: based on visible alpha consensus, there is a trajectory getting 160 00:08:42,559 --> 00:08:46,440 Speaker 1: essentially built into the market that is looking like there 161 00:08:46,480 --> 00:08:50,000 Speaker 1: could be a really compelling replacement cycle, which I think 162 00:08:50,040 --> 00:08:54,040 Speaker 1: you know, essentially took Apple up this week. So I 163 00:08:54,040 --> 00:08:56,640 Speaker 1: think when you think about what where the growth trajectory 164 00:08:56,720 --> 00:09:02,040 Speaker 1: is going and where AI is potentially taking it, the 165 00:09:02,160 --> 00:09:03,760 Speaker 1: landscape looks really interesting. 166 00:09:04,080 --> 00:09:04,600 Speaker 2: That's where I. 167 00:09:04,520 --> 00:09:06,960 Speaker 4: Want to go. So you mentioned that Apple Worldwide Developers 168 00:09:07,040 --> 00:09:09,440 Speaker 4: Conference and the deal that it broke with open ai, 169 00:09:09,520 --> 00:09:11,160 Speaker 4: and we talk a lot about open AI, we talk 170 00:09:11,200 --> 00:09:13,040 Speaker 4: a lot about in video as well. So these are 171 00:09:13,080 --> 00:09:15,520 Speaker 4: the two kind of marquee names. I'm curious sort of 172 00:09:15,960 --> 00:09:19,240 Speaker 4: how you see that landscape shifting and evening out. So 173 00:09:19,280 --> 00:09:22,400 Speaker 4: there's so much obvious promise and faith in in video, 174 00:09:22,440 --> 00:09:24,719 Speaker 4: for instance, when do we begin to see that sort 175 00:09:24,720 --> 00:09:26,160 Speaker 4: of trickle down and sort of what does it look 176 00:09:26,200 --> 00:09:27,760 Speaker 4: like when mile beneath in video? 177 00:09:28,280 --> 00:09:31,520 Speaker 5: I mean in videos, definitely a loadstar. I mean a 178 00:09:31,559 --> 00:09:33,960 Speaker 5: holy back roll. I mean they just I mean, based 179 00:09:33,960 --> 00:09:39,040 Speaker 5: on visible Aphican census we see in the data. This year, 180 00:09:39,120 --> 00:09:41,520 Speaker 5: the data center revenues are expected to generate over one 181 00:09:41,559 --> 00:09:46,880 Speaker 5: hundred billion dollars, but looking forward several years, it's. 182 00:09:46,520 --> 00:09:50,960 Speaker 1: Going to over two hundred. One hundred billion dollars in revenue. 183 00:09:51,000 --> 00:09:54,320 Speaker 1: Growth for one segment is expected in the market. That 184 00:09:54,559 --> 00:09:59,400 Speaker 1: is astonishing growth. And so you know, I think when 185 00:09:59,559 --> 00:10:03,040 Speaker 1: we look at that, it just tells us, Wow, there's 186 00:10:03,480 --> 00:10:07,959 Speaker 1: something interesting coming down the pike, right, And so I think, 187 00:10:08,000 --> 00:10:10,400 Speaker 1: you know, for Apple, you know, they're sort of the 188 00:10:10,480 --> 00:10:13,240 Speaker 1: consumer end of that, they're the end user of that. 189 00:10:13,320 --> 00:10:16,560 Speaker 1: What Nvidia does is they're essentially building the infrastructure that's 190 00:10:16,679 --> 00:10:21,120 Speaker 1: enabling all of this generative AI to even happen, you know, 191 00:10:21,240 --> 00:10:26,120 Speaker 1: to make it so that you know, users like you 192 00:10:26,200 --> 00:10:30,559 Speaker 1: and I and organizations can actually have the compute power 193 00:10:30,640 --> 00:10:34,280 Speaker 1: to do the generative AI things that are so productive 194 00:10:34,320 --> 00:10:35,040 Speaker 1: and interesting. 195 00:10:35,720 --> 00:10:39,080 Speaker 2: So in Vidia obviously, I think for most lay people 196 00:10:39,800 --> 00:10:42,600 Speaker 2: that is their AI play, even though there's a lot 197 00:10:42,679 --> 00:10:46,800 Speaker 2: more on the software side. I hear Microsoft mentioned as 198 00:10:47,040 --> 00:10:50,200 Speaker 2: a way if you want exposure to kind of the 199 00:10:50,240 --> 00:10:53,040 Speaker 2: next wave of technology, whether it's AI, whatever you like. 200 00:10:53,200 --> 00:10:54,760 Speaker 2: I call it a big data two years ago and 201 00:10:54,800 --> 00:10:57,599 Speaker 2: now now it's AI. Microsoft is a story. How do 202 00:10:57,600 --> 00:10:58,200 Speaker 2: you think about that? 203 00:10:58,280 --> 00:11:02,000 Speaker 1: I mean, Microsoft is another monster. I'm based on visible 204 00:11:02,040 --> 00:11:05,160 Speaker 1: African census there Azure cloud business is expected to go 205 00:11:05,200 --> 00:11:08,000 Speaker 1: from seventy five billion dollars and then over the next 206 00:11:08,040 --> 00:11:11,080 Speaker 1: couple of years to one hundred and fifty billion. I mean, 207 00:11:11,559 --> 00:11:14,200 Speaker 1: so between in Video and Microsoft together, you're talking about 208 00:11:14,200 --> 00:11:18,000 Speaker 1: one hundred and seventy five billion dollars in expected new 209 00:11:18,080 --> 00:11:21,679 Speaker 1: revenue growth. That's incredible. 210 00:11:22,200 --> 00:11:24,880 Speaker 4: We had this news this week Bloomberg reporting that two 211 00:11:24,920 --> 00:11:27,319 Speaker 4: regulators are looking into Microsoft and Video when it comes 212 00:11:27,320 --> 00:11:29,400 Speaker 4: to AI, and I wonder stif what that tells you, 213 00:11:29,440 --> 00:11:32,160 Speaker 4: not necessarily about those cases as they might be unfolding, 214 00:11:32,200 --> 00:11:34,720 Speaker 4: but about where we are in this cycle. Again, we 215 00:11:34,760 --> 00:11:37,000 Speaker 4: talk about the promise of AI. It things are moving 216 00:11:37,040 --> 00:11:39,440 Speaker 4: so quickly. You talk about doubling revenue rents Quint saying 217 00:11:39,520 --> 00:11:41,040 Speaker 4: like the in the s few that you're talking about. 218 00:11:41,080 --> 00:11:43,160 Speaker 4: But you know, then you have news like this and 219 00:11:43,200 --> 00:11:44,800 Speaker 4: you wonder sort of what what are the things that 220 00:11:44,920 --> 00:11:46,520 Speaker 4: might slow this down or might bring this to a 221 00:11:46,520 --> 00:11:49,160 Speaker 4: more normal pace. Is that even likely to happen? 222 00:11:49,160 --> 00:11:49,520 Speaker 6: Do you think? 223 00:11:49,720 --> 00:11:52,000 Speaker 1: I mean, it's a question that keeps me up at night. 224 00:11:52,640 --> 00:11:57,240 Speaker 1: I'm like, what what happens if the consumer just doesn't adopt? 225 00:11:57,320 --> 00:11:59,520 Speaker 2: If it doesn't click generative aidea. 226 00:11:59,200 --> 00:12:04,480 Speaker 1: It doesn't click? Because I really remember covering Apple back 227 00:12:04,520 --> 00:12:09,280 Speaker 1: in the day, pre iPhone, and I remember a lot 228 00:12:09,280 --> 00:12:11,760 Speaker 1: of us in the investment community debating, oh is this 229 00:12:11,800 --> 00:12:13,480 Speaker 1: thing going to take off? Or people going to like 230 00:12:13,559 --> 00:12:17,040 Speaker 1: these touch screens or like there's no keyp head, you 231 00:12:17,040 --> 00:12:20,599 Speaker 1: know what about the flip phone? Remember those days? And 232 00:12:21,520 --> 00:12:25,240 Speaker 1: I remember there were two really distinct moments when I thought, Okay, 233 00:12:25,320 --> 00:12:28,200 Speaker 1: this thing is going to be huge. The first was 234 00:12:28,240 --> 00:12:31,200 Speaker 1: when I saw my one year old child taking her 235 00:12:31,240 --> 00:12:36,600 Speaker 1: finger on an iPad and very engaging with this. Couldn't 236 00:12:36,640 --> 00:12:39,480 Speaker 1: walk or talk really, but can engage with an iPad. 237 00:12:39,559 --> 00:12:42,480 Speaker 1: I was like, Wow, this is really interesting. Wow, this 238 00:12:42,520 --> 00:12:46,200 Speaker 1: could create a whole generation of users that are not 239 00:12:46,280 --> 00:12:50,200 Speaker 1: really baked into expectations. And the second was my mom, 240 00:12:51,080 --> 00:12:55,160 Speaker 1: widow and retiree saying, you know, I think I want to, 241 00:12:55,360 --> 00:12:58,280 Speaker 1: you know, convert from a flip phone to an iPhone. 242 00:12:58,400 --> 00:13:00,320 Speaker 1: What do you think should I do it? And then 243 00:13:00,640 --> 00:13:05,000 Speaker 1: it really revolutionizing her life things like GPS takes her 244 00:13:05,040 --> 00:13:08,680 Speaker 1: the way she engages with us and her friends, really 245 00:13:09,120 --> 00:13:13,440 Speaker 1: making her life a lot more fun and easy. And 246 00:13:13,520 --> 00:13:18,040 Speaker 1: so if generative AI is able to do that, I 247 00:13:18,040 --> 00:13:19,400 Speaker 1: think it could be really interesting. 248 00:13:19,800 --> 00:13:23,840 Speaker 2: Melissa thirty seconds left Amazon. What's your takeaway from Amazon? 249 00:13:24,640 --> 00:13:29,280 Speaker 1: Amazon is in a really interesting position right now. We 250 00:13:29,480 --> 00:13:33,760 Speaker 1: just I was just actually at the Amazon AWS Financial 251 00:13:33,840 --> 00:13:38,840 Speaker 1: Services Symposium. There was a lot of discussion around how 252 00:13:38,920 --> 00:13:42,680 Speaker 1: generative AI is being brought into organizations, and I think 253 00:13:42,960 --> 00:13:46,040 Speaker 1: the big takeaway from that is that, you know, it's 254 00:13:46,080 --> 00:13:50,720 Speaker 1: really going to move more to the cloud and companies 255 00:13:50,760 --> 00:13:54,240 Speaker 1: are really feeling that FOMO trade. And so when I 256 00:13:54,280 --> 00:13:58,840 Speaker 1: look at the Amazon expectations for the AWS business, we 257 00:13:58,920 --> 00:14:03,240 Speaker 1: have seen the visible AFRIC consensus numbers for AWS margin 258 00:14:03,840 --> 00:14:06,600 Speaker 1: go up one hundred and twenty basis points into Q two. 259 00:14:06,960 --> 00:14:09,960 Speaker 1: So I think there's some interesting momentum coming in there. 260 00:14:10,400 --> 00:14:12,680 Speaker 2: Melissa, thank you so much for joining us, Melissa Otto, 261 00:14:12,840 --> 00:14:15,640 Speaker 2: she said of TMT research at Visible Alpha. Getting a 262 00:14:15,640 --> 00:14:23,520 Speaker 2: little tech discussion this morning. David, you're a worldly guy. 263 00:14:23,680 --> 00:14:28,760 Speaker 2: Let's talk US sanctions, Let's talk US industrial policy, US protectionism, 264 00:14:29,160 --> 00:14:32,560 Speaker 2: US monetary policy. Are these good? Are they bad? Are 265 00:14:32,600 --> 00:14:35,080 Speaker 2: they working? Or are they not working? I have no idea. 266 00:14:35,160 --> 00:14:37,440 Speaker 2: I did pay attention when I was a duke to 267 00:14:37,480 --> 00:14:40,040 Speaker 2: some of my economics classes, but I just don't know. 268 00:14:40,080 --> 00:14:46,400 Speaker 2: Steve Hanke knows. He's professor at Johns Hopkins University. You know, Steve, 269 00:14:46,400 --> 00:14:48,440 Speaker 2: thanks much for joining us here. This is an election year. 270 00:14:48,480 --> 00:14:51,600 Speaker 2: I'm starting to hear a lot more discussion about global 271 00:14:51,680 --> 00:14:56,840 Speaker 2: industrial policy, US industrial policy. Let's just start with you know, tariffs. 272 00:14:57,720 --> 00:15:01,840 Speaker 2: Are tariffs good? Are tariffs protectionism? Are they good? Are 273 00:15:01,880 --> 00:15:04,600 Speaker 2: they needed? Safe for the electrical v vehicle market? What 274 00:15:04,600 --> 00:15:05,000 Speaker 2: do you think? 275 00:15:06,600 --> 00:15:07,600 Speaker 6: I think they're terrible? 276 00:15:07,800 --> 00:15:08,200 Speaker 2: Nobody. 277 00:15:09,720 --> 00:15:14,800 Speaker 7: And we just keep getting getting all the major political 278 00:15:14,880 --> 00:15:19,800 Speaker 7: players in the game, doubling down and proposing even more nutty, 279 00:15:20,400 --> 00:15:25,160 Speaker 7: terrify ideas with each passing day. You know, we we 280 00:15:25,200 --> 00:15:29,440 Speaker 7: had Trump yesterday. He's got some idea. He's he's going 281 00:15:29,440 --> 00:15:33,000 Speaker 7: to replace the income tax with revenues from terrorists. 282 00:15:34,760 --> 00:15:39,320 Speaker 2: Do we get we don't get revenues from tariffs, do we? 283 00:15:37,000 --> 00:15:39,520 Speaker 4: Well? 284 00:15:40,320 --> 00:15:43,800 Speaker 7: We we we we do get revenues from tariffs, but 285 00:15:44,480 --> 00:15:46,920 Speaker 7: the revenues there are actually a tax that come out 286 00:15:46,960 --> 00:15:50,479 Speaker 7: of the height of American consumers and businesses. 287 00:15:50,600 --> 00:15:53,400 Speaker 6: So that's that. 288 00:15:53,560 --> 00:15:58,160 Speaker 7: The terriffs thing is is really unbelievable because it's part 289 00:15:58,240 --> 00:16:04,760 Speaker 7: of a larger picture. And sanctions are actually a form 290 00:16:04,800 --> 00:16:09,320 Speaker 7: of protectionism. This is all really David under the umbrella 291 00:16:09,360 --> 00:16:14,160 Speaker 7: of protectionism. So you have sanctions, and since two thousand, 292 00:16:15,400 --> 00:16:19,000 Speaker 7: the United States has increased the number of sanctions that 293 00:16:19,000 --> 00:16:23,160 Speaker 7: we've put on various individuals and countries by nine hundred percent. 294 00:16:23,840 --> 00:16:25,840 Speaker 6: But it's amazing. 295 00:16:25,400 --> 00:16:29,960 Speaker 7: Because the scholarly literature shows us that these things don't work. 296 00:16:31,120 --> 00:16:37,520 Speaker 7: They always end up backfiring, creating a lot of unintended consequences, 297 00:16:38,440 --> 00:16:43,200 Speaker 7: and the sanctioned countries and individuals always find workarounds one 298 00:16:43,200 --> 00:16:47,160 Speaker 7: way or another to get out of them. But in 299 00:16:47,200 --> 00:16:50,120 Speaker 7: the end, when I say they don't work, they usually 300 00:16:50,200 --> 00:16:53,480 Speaker 7: create what's called a rally around the flag effect that 301 00:16:54,000 --> 00:17:01,560 Speaker 7: keeps the targeted leaders or elites in countries in the 302 00:17:01,640 --> 00:17:06,439 Speaker 7: Saddle Valley Naessa, one of my colleagues at Johns Hopkins 303 00:17:06,440 --> 00:17:12,440 Speaker 7: and experienced diplomat Iranian of origin, just did a big 304 00:17:12,480 --> 00:17:17,359 Speaker 7: study with three other colleagues on Iran and basically the 305 00:17:17,400 --> 00:17:23,159 Speaker 7: sanctions we put on Iran have really created this rally 306 00:17:23,200 --> 00:17:27,280 Speaker 7: around the flag effect because the idea was the US thought, well, 307 00:17:27,320 --> 00:17:30,480 Speaker 7: we'll put the sanctions on that will put a lot 308 00:17:30,520 --> 00:17:33,120 Speaker 7: of pressure on the middle class, and the middle class 309 00:17:33,119 --> 00:17:36,320 Speaker 7: in Iran will come to our side. Well, no, the 310 00:17:36,320 --> 00:17:39,280 Speaker 7: middle class either went to the sidelines or went on 311 00:17:39,320 --> 00:17:43,120 Speaker 7: the side of the regime because they view those who 312 00:17:43,160 --> 00:17:45,520 Speaker 7: imposed sanctions on as enemies. 313 00:17:45,880 --> 00:17:48,040 Speaker 4: Steve, let me ask you a little bit more about that. 314 00:17:48,119 --> 00:17:49,560 Speaker 4: And I think it's a rare day when I don't 315 00:17:49,600 --> 00:17:52,000 Speaker 4: see in my inbox and message from the Treasury Department 316 00:17:52,000 --> 00:17:54,840 Speaker 4: about a new sanction, particularly with regard to to Russia's 317 00:17:54,840 --> 00:17:56,800 Speaker 4: invasion of Ukraine. And so we have the G Seven 318 00:17:56,840 --> 00:18:00,560 Speaker 4: meetings unfolding now in Italy and the Treasury or Jennet 319 00:18:00,600 --> 00:18:03,080 Speaker 4: Yellen announcing a new raft of sanctions against Russia I 320 00:18:03,080 --> 00:18:06,480 Speaker 4: think tied to semiconductors. But you're gonna get something I 321 00:18:06,520 --> 00:18:07,919 Speaker 4: wanted to ask you about, and that is this kind 322 00:18:07,920 --> 00:18:12,080 Speaker 4: of recent history of the weaponization of sanctions, the Treasury Department, 323 00:18:12,280 --> 00:18:16,200 Speaker 4: the administration, this and previous ones really relying on them 324 00:18:16,600 --> 00:18:19,280 Speaker 4: as a tool. I mean, Jennet Yellen not shy about 325 00:18:19,320 --> 00:18:22,119 Speaker 4: saying she thinks these are effective. You talk about hern 326 00:18:22,240 --> 00:18:25,160 Speaker 4: as we pivot to Russia. Are they any more effective 327 00:18:25,200 --> 00:18:29,160 Speaker 4: when there is an actual military war, when you see 328 00:18:29,160 --> 00:18:30,840 Speaker 4: the kind of ratcheting up that we've seen here in 329 00:18:31,160 --> 00:18:32,080 Speaker 4: recent years. 330 00:18:33,520 --> 00:18:34,240 Speaker 6: The answer is no. 331 00:18:34,600 --> 00:18:39,280 Speaker 7: If you read all of the scholarly literature tells exactly 332 00:18:39,359 --> 00:18:43,199 Speaker 7: the same story, starting in World War One, and that's all. 333 00:18:43,560 --> 00:18:51,639 Speaker 7: These almost never achieve their desired objectives. And let me 334 00:18:51,680 --> 00:18:54,359 Speaker 7: give you, let me give you one. Let's go back 335 00:18:54,400 --> 00:18:57,720 Speaker 7: to the nineteen seventies. You know when the Soviets invaded 336 00:18:58,400 --> 00:19:04,000 Speaker 7: Afghanistan and nineteen seventy nine, Jimmy Carter was in the 337 00:19:04,040 --> 00:19:07,520 Speaker 7: White House, of course, in Brazinski was a National Security advisor, 338 00:19:07,560 --> 00:19:12,040 Speaker 7: and they put a ban on agricultural exports from the 339 00:19:12,160 --> 00:19:16,880 Speaker 7: US to the Soviet Union. And what happened is what 340 00:19:17,160 --> 00:19:23,400 Speaker 7: Bob Mandel called the Afghan effect, and that is the 341 00:19:23,440 --> 00:19:24,560 Speaker 7: Soviets went. 342 00:19:24,480 --> 00:19:27,720 Speaker 6: To Argentina right away and cut a deal for grain. 343 00:19:28,480 --> 00:19:32,440 Speaker 7: US farmers, of course, were prohibited from sending an exporting 344 00:19:32,520 --> 00:19:36,800 Speaker 7: grain to the Soviet Union, so that Argentines made out 345 00:19:36,920 --> 00:19:37,719 Speaker 7: like bandits. 346 00:19:38,520 --> 00:19:40,440 Speaker 6: The Soviets weren't hurt at all. 347 00:19:41,240 --> 00:19:46,840 Speaker 7: And ironically, who was in power in Argentina at the time, well, 348 00:19:46,960 --> 00:19:48,159 Speaker 7: Hunt was in power. 349 00:19:49,200 --> 00:19:51,120 Speaker 6: They were supposedly the bad guys. 350 00:19:51,160 --> 00:19:56,040 Speaker 7: So this is law, the kind of law of unintended consequences, 351 00:19:56,440 --> 00:19:58,000 Speaker 7: this Afghan kind of effect. 352 00:19:58,160 --> 00:20:00,800 Speaker 4: I guess we're seeing that now with with China. You 353 00:20:00,840 --> 00:20:04,040 Speaker 4: see that that relationship between Russian and China has grown 354 00:20:04,080 --> 00:20:05,840 Speaker 4: in warmth, shall we say, since the start of that. 355 00:20:05,880 --> 00:20:11,160 Speaker 7: Well, yeah, this is absolutely they are blocked at the hip, 356 00:20:11,960 --> 00:20:15,240 Speaker 7: and then it's because of these sanctions. And now we 357 00:20:15,320 --> 00:20:19,720 Speaker 7: put even further batchel of sanctions on as you indicated 358 00:20:19,720 --> 00:20:20,560 Speaker 7: with the G seven. 359 00:20:20,680 --> 00:20:21,600 Speaker 6: So it's just. 360 00:20:21,640 --> 00:20:25,560 Speaker 7: Something that doesn't work. But the problem is it's part 361 00:20:25,600 --> 00:20:32,399 Speaker 7: of this protectionist thing. We the public thinks somehow they work, 362 00:20:32,520 --> 00:20:34,840 Speaker 7: They have the impression that they work, they and they 363 00:20:34,920 --> 00:20:40,720 Speaker 7: become familiar with, they think sanctions and comfortable with sisms. 364 00:20:41,160 --> 00:20:44,520 Speaker 7: So if we're sanctioning somebody, why not put a quota 365 00:20:44,560 --> 00:20:47,600 Speaker 7: on them or a terrif on them, so you get 366 00:20:47,640 --> 00:20:52,959 Speaker 7: in out into the broader sphere of other kinds of 367 00:20:53,480 --> 00:20:55,320 Speaker 7: government intervention. 368 00:20:55,800 --> 00:20:59,600 Speaker 2: And Dan Steve David brought up China. I'd love to 369 00:20:59,600 --> 00:21:03,840 Speaker 2: get your here because I think there's a founded concern 370 00:21:03,960 --> 00:21:08,360 Speaker 2: on many Americans view about China, whether it's a technology 371 00:21:08,359 --> 00:21:12,040 Speaker 2: cold war between China and the West. We're concerned about, 372 00:21:12,160 --> 00:21:15,320 Speaker 2: you know, TikTok being so pervasive here in the US. 373 00:21:16,080 --> 00:21:18,359 Speaker 2: What do you think the US policy should be about 374 00:21:18,480 --> 00:21:21,960 Speaker 2: China in terms of trade and just overall relations there, 375 00:21:21,960 --> 00:21:25,080 Speaker 2: because there are some significant, I would say meaningful concerns. 376 00:21:26,640 --> 00:21:29,760 Speaker 7: Well, we have a lot of the S and B 377 00:21:29,880 --> 00:21:33,520 Speaker 7: five hundred companies that are very involved in China and 378 00:21:34,840 --> 00:21:39,400 Speaker 7: deriving considerable profits from China, And as far as I'm concerned, 379 00:21:39,400 --> 00:21:45,600 Speaker 7: that's a good, good idea. Trade is always good. Once 380 00:21:45,640 --> 00:21:49,879 Speaker 7: you start cutting trade off, you increase the chance that 381 00:21:49,920 --> 00:21:52,440 Speaker 7: you're going to get into a hot war of some sort. 382 00:21:52,960 --> 00:21:57,240 Speaker 7: And with the current administration, and this started of course 383 00:21:57,280 --> 00:22:03,080 Speaker 7: with Trump and the former administration, we've essentially continued to escalate. 384 00:22:03,240 --> 00:22:07,479 Speaker 7: Really what is an open commercial trade war with China, 385 00:22:07,840 --> 00:22:09,960 Speaker 7: which I think is a very bad policy. 386 00:22:11,080 --> 00:22:13,320 Speaker 4: Steeve, you mentioned Argentina moment ago. Maybe I can ask 387 00:22:13,359 --> 00:22:16,159 Speaker 4: you about what's been going on there. Lastly, so we 388 00:22:16,160 --> 00:22:19,280 Speaker 4: were talking about Argentina in the seventies, how about Argentina today? 389 00:22:19,359 --> 00:22:22,679 Speaker 4: And you have President me like pushing really hard for 390 00:22:22,760 --> 00:22:25,879 Speaker 4: this legislation that would make pretty radical changes and cuts 391 00:22:25,880 --> 00:22:28,960 Speaker 4: to the Argentine economy, as he, i think, is going 392 00:22:29,000 --> 00:22:30,800 Speaker 4: to Italy to meet with the IMF to try to 393 00:22:30,800 --> 00:22:33,960 Speaker 4: renegotiate some of that country's debt once again. But we've 394 00:22:34,000 --> 00:22:35,840 Speaker 4: seen the protests in the street. At the same time, 395 00:22:35,920 --> 00:22:40,639 Speaker 4: we've seen Parliament in Argentina pass a kind of lighter 396 00:22:40,720 --> 00:22:43,000 Speaker 4: version of that omnibus build that was designed to kind 397 00:22:43,000 --> 00:22:46,399 Speaker 4: of rework the economy there. What's your read on that 398 00:22:46,480 --> 00:22:48,959 Speaker 4: as you look to that part of the world. Do 399 00:22:49,000 --> 00:22:51,680 Speaker 4: you see him as making progress despite it all? What's 400 00:22:51,720 --> 00:22:57,040 Speaker 4: your sense of what Pemula is doing in Argentina. 401 00:22:57,840 --> 00:23:02,480 Speaker 7: The passage two days of that omnibus bill was a 402 00:23:02,480 --> 00:23:03,760 Speaker 7: big win for Malay. 403 00:23:05,119 --> 00:23:10,800 Speaker 6: It was a squeaker he barely got passed, but it's that. 404 00:23:10,520 --> 00:23:15,159 Speaker 7: That's a good policy move and a good thing for Malay. 405 00:23:15,320 --> 00:23:18,800 Speaker 7: His problem is, and his achilles heel, is that he 406 00:23:18,880 --> 00:23:23,399 Speaker 7: hasn't delivered on dollarization and getting rid of the Central Bank. 407 00:23:24,080 --> 00:23:28,600 Speaker 7: And he campaigned on that promise. He hasn't done it, 408 00:23:29,119 --> 00:23:33,320 Speaker 7: and as a result, they're really not getting inflation under control, 409 00:23:33,560 --> 00:23:36,960 Speaker 7: and and and the pace that just keeps sliding. And 410 00:23:37,640 --> 00:23:43,199 Speaker 7: I think this will essense will make him extremely vulnerable 411 00:23:43,600 --> 00:23:44,840 Speaker 7: as time passes. 412 00:23:45,440 --> 00:23:48,600 Speaker 6: He's quite popular right now. 413 00:23:48,920 --> 00:23:52,840 Speaker 7: There's he's if you look at the polls, he's doing 414 00:23:52,880 --> 00:23:56,600 Speaker 7: pretty well. In the passage of this bill by the 415 00:23:56,640 --> 00:23:58,240 Speaker 7: Senate two days ago. 416 00:23:58,280 --> 00:23:59,400 Speaker 6: Certain it was a help. 417 00:23:59,240 --> 00:24:02,800 Speaker 7: But I think I think that without dollarization, I think 418 00:24:02,840 --> 00:24:05,800 Speaker 7: the story is going to be pretty much over in Argentina. 419 00:24:05,920 --> 00:24:08,840 Speaker 7: All right, Steve, they have they have a long history 420 00:24:08,880 --> 00:24:11,240 Speaker 7: of just not being able to do it as long 421 00:24:11,280 --> 00:24:14,679 Speaker 7: as they have that central bank there. It's it's like 422 00:24:14,760 --> 00:24:18,520 Speaker 7: a recovering alcoholic with a bottle of whiskey in. 423 00:24:18,480 --> 00:24:18,800 Speaker 6: Front of it. 424 00:24:18,920 --> 00:24:22,240 Speaker 2: Right, all right, Hey, Steve, thanks so much for joording us. 425 00:24:22,280 --> 00:24:26,280 Speaker 2: Always appreciate getting your informed thought. Steve Hankey, Professor of 426 00:24:26,359 --> 00:24:29,480 Speaker 2: Johns Hopkins University and of course a proud graduate of 427 00:24:29,520 --> 00:24:32,920 Speaker 2: the University of Colorado. With Boulder the Buffs scope Buffs. 428 00:24:32,960 --> 00:24:33,359 Speaker 3: How about that. 429 00:24:43,680 --> 00:24:46,479 Speaker 2: I used to live in North Jersey and right across 430 00:24:46,520 --> 00:24:50,440 Speaker 2: the street was the Short Hills Mall, which is Jabled 431 00:24:50,520 --> 00:24:53,639 Speaker 2: famous Babled. It is just it was packed. It's packed 432 00:24:53,680 --> 00:24:56,359 Speaker 2: all the time. I mean, and people were talking about 433 00:24:56,359 --> 00:24:59,200 Speaker 2: the death of malls. I'm like, not where I look. 434 00:24:59,320 --> 00:25:01,040 Speaker 2: I mean, I don't I would never set foot in there, 435 00:25:01,040 --> 00:25:04,360 Speaker 2: but everybody else was going to stay does. But I mean, 436 00:25:04,640 --> 00:25:06,240 Speaker 2: I don't know how to think about this, the whole 437 00:25:06,280 --> 00:25:09,320 Speaker 2: retail business now everybody's kind of shopping online. I don't 438 00:25:09,359 --> 00:25:11,720 Speaker 2: know how this whole thing works. Angelae Slank, she knows 439 00:25:11,760 --> 00:25:14,240 Speaker 2: how this stuff works. National Director of Retail Services for 440 00:25:14,359 --> 00:25:18,280 Speaker 2: the US for Colliers and give us a stay here 441 00:25:18,320 --> 00:25:21,280 Speaker 2: another where, you know, on the thankfully on the backside 442 00:25:21,280 --> 00:25:24,199 Speaker 2: of this pandemic, and maybe consumers are getting back to 443 00:25:24,240 --> 00:25:27,280 Speaker 2: normal behavior if you will talk to us about how, 444 00:25:27,600 --> 00:25:30,600 Speaker 2: you know, the balance between you know, having the bricks 445 00:25:30,600 --> 00:25:33,680 Speaker 2: and mortar store kind of works with the e commerce 446 00:25:33,880 --> 00:25:37,280 Speaker 2: side of the retail equation. How are retailers making that 447 00:25:37,320 --> 00:25:38,160 Speaker 2: balance these days? 448 00:25:39,160 --> 00:25:42,160 Speaker 8: Oh, it's a great question, and thanks for having me. Honestly, 449 00:25:42,200 --> 00:25:46,720 Speaker 8: it's really working well. They're really both integrated. So retailers 450 00:25:46,760 --> 00:25:49,040 Speaker 8: right now have invested quite a bit of money over 451 00:25:49,040 --> 00:25:51,280 Speaker 8: the past call it ten years, as it relates to 452 00:25:51,280 --> 00:25:55,640 Speaker 8: the infrastructure for online So they really are harmonious. We're 453 00:25:55,680 --> 00:26:00,840 Speaker 8: seeing you know, online sales from most retailers, roughly around 454 00:26:00,880 --> 00:26:05,600 Speaker 8: eighteen to twenty percent is online, whereas in store still 455 00:26:05,680 --> 00:26:10,200 Speaker 8: is the dominant place to sell. People still want to touch, feel, smell, 456 00:26:10,600 --> 00:26:12,959 Speaker 8: so we're and be educated. So I think, you know, 457 00:26:13,160 --> 00:26:17,840 Speaker 8: brick and mortar is far from being completely forgotten. 458 00:26:18,200 --> 00:26:22,840 Speaker 4: When you look at how retail is navigating this macroeconomic moment, 459 00:26:24,000 --> 00:26:26,359 Speaker 4: what are companies prioritized. I know there was this push 460 00:26:26,359 --> 00:26:28,560 Speaker 4: for expansion. Has that been scaled back? So how are 461 00:26:28,560 --> 00:26:31,080 Speaker 4: they thinking about growing that footprint in the way that 462 00:26:31,119 --> 00:26:33,960 Speaker 4: you're describing, both with brick and mortar and online as well. 463 00:26:35,119 --> 00:26:38,400 Speaker 8: Definitely, you know, there is definitely still a high demand 464 00:26:38,880 --> 00:26:43,400 Speaker 8: as it relates to you know, site expansion and growth. 465 00:26:44,040 --> 00:26:47,520 Speaker 8: As you look at the very mature brands that are 466 00:26:47,560 --> 00:26:51,240 Speaker 8: out there that have been quite successful year over year, 467 00:26:51,640 --> 00:26:55,480 Speaker 8: they're continuing to look at the US as a great 468 00:26:55,520 --> 00:26:58,720 Speaker 8: opportunity for more sites. And you know, in speaking to 469 00:26:58,800 --> 00:27:02,160 Speaker 8: a lot of these brands looking at not just fifty locations, 470 00:27:02,440 --> 00:27:05,400 Speaker 8: some are looking at one hundred per year. And so 471 00:27:05,520 --> 00:27:07,840 Speaker 8: when we're seeing that and most of those segments are 472 00:27:07,920 --> 00:27:11,880 Speaker 8: going to be your junior boxes, your big box type tenants, 473 00:27:12,160 --> 00:27:17,239 Speaker 8: your grocery those are call it more mainstay stable, you know, 474 00:27:17,359 --> 00:27:20,480 Speaker 8: sectors within our industry, and therefore we're really going to 475 00:27:20,480 --> 00:27:23,360 Speaker 8: continue to see that. What the challenge is is that 476 00:27:23,400 --> 00:27:26,399 Speaker 8: we have a lack of supply. The lack of supply 477 00:27:26,480 --> 00:27:29,240 Speaker 8: is really what's hurting us because there hasn't been call it, 478 00:27:29,359 --> 00:27:34,280 Speaker 8: new construction and a growth in new construction throughout the US. 479 00:27:35,400 --> 00:27:38,080 Speaker 2: So I guess on the other side of the question, 480 00:27:38,160 --> 00:27:40,320 Speaker 2: how was the retailer or how is the consumer doing? 481 00:27:40,320 --> 00:27:43,480 Speaker 2: What are the retailers telling you about what the consumers buying, 482 00:27:44,080 --> 00:27:46,200 Speaker 2: how they're buying, how much promotion they need to buy? 483 00:27:46,480 --> 00:27:48,000 Speaker 2: What are you seeing out there these days? 484 00:27:48,560 --> 00:27:50,920 Speaker 8: Yeah, it's been a really interesting kind of a little 485 00:27:50,920 --> 00:27:53,240 Speaker 8: bit of a mixed bag. You know, we are seeing 486 00:27:53,320 --> 00:27:56,560 Speaker 8: a bit of a gradual slowing. We anticipate that when 487 00:27:56,600 --> 00:27:59,080 Speaker 8: we forecast for the end of the year that will 488 00:27:59,080 --> 00:28:03,080 Speaker 8: still be slightly up compared to last year. However, we 489 00:28:03,160 --> 00:28:05,919 Speaker 8: are going to see a gradual slow down. Now the 490 00:28:06,000 --> 00:28:08,160 Speaker 8: areas that we're going to see a slow down, we're 491 00:28:08,160 --> 00:28:10,520 Speaker 8: going to see some slow down. Of course, in high 492 00:28:10,640 --> 00:28:14,440 Speaker 8: luxury spend. We are still continuing to see a good 493 00:28:14,560 --> 00:28:17,920 Speaker 8: spend in the discount category, but people are really paying 494 00:28:17,960 --> 00:28:21,840 Speaker 8: attention to where they're placing their dollars. So even though 495 00:28:21,880 --> 00:28:25,680 Speaker 8: we're seeing you know, spend occur in you know, the 496 00:28:26,520 --> 00:28:29,200 Speaker 8: health and personal care, we're still we're starting to see 497 00:28:29,240 --> 00:28:31,520 Speaker 8: a bit of a slow down and call it beverage 498 00:28:31,560 --> 00:28:36,720 Speaker 8: spend FMB spend. Prices have increase in that sector purely 499 00:28:36,760 --> 00:28:39,760 Speaker 8: because wages have increased. I think the overall wage increase 500 00:28:39,800 --> 00:28:43,560 Speaker 8: has been roughly what about four percent, So people still 501 00:28:43,560 --> 00:28:47,560 Speaker 8: are making a healthy, decent amount of money, but they 502 00:28:47,560 --> 00:28:50,360 Speaker 8: are being very cautious on where and how. We are 503 00:28:50,400 --> 00:28:54,320 Speaker 8: seeing One interesting thing, and that is in the entertainment sector. 504 00:28:54,640 --> 00:28:58,400 Speaker 8: So people still want to have that joy and that experience. 505 00:28:58,560 --> 00:29:01,840 Speaker 8: So when we stop and think about, you know, the concert. 506 00:29:02,720 --> 00:29:04,880 Speaker 8: You know, there's been plenty of concerts that have been 507 00:29:04,880 --> 00:29:07,680 Speaker 8: going on, but the cost of a concert versus the 508 00:29:07,720 --> 00:29:11,240 Speaker 8: cost of going to either whether it's just going out 509 00:29:11,280 --> 00:29:14,520 Speaker 8: for a small dinner with friends or to see a movie. 510 00:29:14,600 --> 00:29:17,360 Speaker 8: Even though the movie industry, you know, is the cinema 511 00:29:17,400 --> 00:29:20,960 Speaker 8: industry is still you know, you know, you know, softly 512 00:29:21,120 --> 00:29:24,240 Speaker 8: kind of treading here, people still want to have this 513 00:29:24,320 --> 00:29:26,560 Speaker 8: call it entertainment experience. 514 00:29:27,440 --> 00:29:29,880 Speaker 4: I want to ask you about where you're seeing growth 515 00:29:29,920 --> 00:29:31,960 Speaker 4: and I'll confess I read a few of your notes 516 00:29:32,000 --> 00:29:34,680 Speaker 4: before coming in here today and Paul at least having 517 00:29:34,760 --> 00:29:37,160 Speaker 4: some fun talking about Brooklyn. But you you highlight the 518 00:29:37,160 --> 00:29:40,200 Speaker 4: fact that Fifth Avenue in my neighborhood in Parkslope, Brooklyn, Well, 519 00:29:40,240 --> 00:29:42,640 Speaker 4: the great retail stretch is now in the country, which 520 00:29:42,760 --> 00:29:45,640 Speaker 4: like makes me so happy. And part of that are 521 00:29:45,640 --> 00:29:47,400 Speaker 4: these kind of boba te shops that are set up 522 00:29:47,440 --> 00:29:50,840 Speaker 4: and constantly packed with young people, my daughter. I mean, 523 00:29:50,840 --> 00:29:53,440 Speaker 4: it's like this is a big deal now, So talk 524 00:29:53,480 --> 00:29:55,040 Speaker 4: a bit about like you know, have to talk about 525 00:29:55,040 --> 00:29:57,000 Speaker 4: that stretch in my neighborhood. But where we're seeing growth 526 00:29:57,040 --> 00:30:00,400 Speaker 4: in retail, both in terms of geography U and also 527 00:30:00,400 --> 00:30:03,280 Speaker 4: sort of where there's opportunity in food in beverage that's 528 00:30:03,280 --> 00:30:04,680 Speaker 4: a little different from what we've seen before. 529 00:30:05,680 --> 00:30:08,360 Speaker 8: Yeah, it's been really fascinating on the beverage side. So 530 00:30:08,400 --> 00:30:10,760 Speaker 8: I think, you know what people are starting to realize, 531 00:30:10,760 --> 00:30:13,320 Speaker 8: and of course it's the younger generation that you know, 532 00:30:13,880 --> 00:30:17,200 Speaker 8: alcohol doesn't have to be the beverage of choice, and 533 00:30:17,240 --> 00:30:21,320 Speaker 8: so we're starting to see these very diverse type uses 534 00:30:21,440 --> 00:30:25,880 Speaker 8: start to expand throughout the US, and it's it's you know, 535 00:30:26,600 --> 00:30:29,800 Speaker 8: it's very interesting to see kind of that culture around it. 536 00:30:30,040 --> 00:30:34,160 Speaker 8: So Boba t is one you know, we actually we're 537 00:30:34,280 --> 00:30:37,280 Speaker 8: working with a group called Swig. And if you look 538 00:30:37,280 --> 00:30:39,360 Speaker 8: at Swig and I think one of you know, there 539 00:30:39,440 --> 00:30:42,400 Speaker 8: is a tagline, you know, dirty sodas well, you stop 540 00:30:42,440 --> 00:30:45,720 Speaker 8: and think about it's really a soda mixed with whether 541 00:30:45,760 --> 00:30:49,640 Speaker 8: it's lemonade or a different type of juice or different 542 00:30:49,680 --> 00:30:53,480 Speaker 8: types of you know, add ons. And it's really become 543 00:30:53,600 --> 00:30:56,760 Speaker 8: a great way of kind of you know, in introducing 544 00:30:56,800 --> 00:30:59,880 Speaker 8: something unique and different, but enjoying it with your friends 545 00:31:00,080 --> 00:31:03,719 Speaker 8: and socializing about it. So the trends that we're seeing 546 00:31:03,760 --> 00:31:08,680 Speaker 8: in the beverage side have been you know, really embraced 547 00:31:08,760 --> 00:31:11,240 Speaker 8: by by the younger generation and I don't see a 548 00:31:11,320 --> 00:31:14,080 Speaker 8: slow down. So whether you know, I mean, Starbucks is 549 00:31:14,120 --> 00:31:17,040 Speaker 8: selling boats now and it's been one of their stronger 550 00:31:17,520 --> 00:31:21,080 Speaker 8: segments within the product business. So is it a is 551 00:31:21,080 --> 00:31:22,880 Speaker 8: it a fad? Is it a trend? I think it's 552 00:31:22,920 --> 00:31:26,760 Speaker 8: probably going to stay if we continue to see this 553 00:31:26,960 --> 00:31:30,680 Speaker 8: cultural diversity. So we're going to see more of that, 554 00:31:30,840 --> 00:31:34,160 Speaker 8: So stay tuned. I'm really interested to see what's happening there. 555 00:31:34,520 --> 00:31:34,880 Speaker 3: And Gie. 556 00:31:34,880 --> 00:31:38,440 Speaker 2: The next question is for Lisa Mitteo how is luxury doing. 557 00:31:40,960 --> 00:31:43,440 Speaker 8: Yes, you know, it's so fascinating. I'm going to bring 558 00:31:43,480 --> 00:31:45,840 Speaker 8: it right back to New York for a moment. But 559 00:31:46,320 --> 00:31:49,280 Speaker 8: I mean, look LVMH. You know they're going to take 560 00:31:49,400 --> 00:31:53,960 Speaker 8: down their their building on fifty seventh and rebuild. You know, 561 00:31:54,040 --> 00:31:58,120 Speaker 8: there's there's there's definitely you know, a gradual slow down 562 00:31:58,160 --> 00:32:01,040 Speaker 8: in terms of spend. But you have to kind of 563 00:32:01,080 --> 00:32:04,000 Speaker 8: look at that number based on they had such a 564 00:32:04,160 --> 00:32:09,120 Speaker 8: significant uptick you know, during the pandemic and shortly thereafter. 565 00:32:09,320 --> 00:32:13,320 Speaker 8: So when we say, you know, gradual slow down in luxury, 566 00:32:13,600 --> 00:32:19,760 Speaker 8: they're still you know, still up compared to pre COVID numbers. 567 00:32:19,840 --> 00:32:23,800 Speaker 8: And you know, look luxury still they're expanding their buying 568 00:32:23,840 --> 00:32:26,040 Speaker 8: buildings or you know, their own real estate. They want 569 00:32:26,080 --> 00:32:29,440 Speaker 8: to own their kind of longevity and where they're going 570 00:32:29,480 --> 00:32:31,960 Speaker 8: to be for you know, the next call it thirty 571 00:32:32,040 --> 00:32:35,360 Speaker 8: years versus trying to negotiate and renew right, they just 572 00:32:35,400 --> 00:32:38,600 Speaker 8: have to negotiate with themselves. So we're going to continue 573 00:32:38,600 --> 00:32:42,600 Speaker 8: to see you know, that market be strategic in placement 574 00:32:42,680 --> 00:32:43,680 Speaker 8: and where they expand. 575 00:32:43,760 --> 00:32:45,640 Speaker 2: All right, Aunjie, thank you so much for joining us. 576 00:32:45,680 --> 00:32:48,719 Speaker 2: Always appreciate getting your perspectives there on all things on 577 00:32:48,760 --> 00:32:52,720 Speaker 2: the retail space. There Anjie Slanki, National director of Retail 578 00:32:52,760 --> 00:32:56,400 Speaker 2: Services for the US Firmers Colliers. This is the Bloomberg 579 00:32:56,440 --> 00:33:00,680 Speaker 2: Surveillance Podcast, bringing you the best economics, geopolitics, finance and investment. 580 00:33:00,840 --> 00:33:04,120 Speaker 2: You can also watch the show live on YouTube. Visit 581 00:33:04,160 --> 00:33:06,880 Speaker 2: the Bloomberg Podcast channel on YouTube to see the show 582 00:33:07,200 --> 00:33:09,920 Speaker 2: weekday mornings from seven to ten Eastern from our global 583 00:33:09,920 --> 00:33:13,640 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 584 00:33:13,800 --> 00:33:17,000 Speaker 2: or anywhere else you listen, and as always on Bloomberg Radio, 585 00:33:17,080 --> 00:33:19,280 Speaker 2: the Bloomberg Terminal, and The Bloomberg Business. Apple