1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,480 --> 00:00:12,360 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,440 --> 00:00:15,520 Speaker 2: weekdays at ten am Eastern on Apple card playing Android 4 00:00:15,520 --> 00:00:18,560 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:18,680 --> 00:00:21,840 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:23,600 --> 00:00:25,200 Speaker 3: All right, top of the top. 7 00:00:25,360 --> 00:00:25,400 Speaker 4: Go. 8 00:00:25,760 --> 00:00:27,880 Speaker 1: Kind of thing today is Wall Street returns to a 9 00:00:27,960 --> 00:00:31,880 Speaker 1: T plus one stock trading after a century Only in Bloomberg. 10 00:00:31,920 --> 00:00:34,680 Speaker 1: When people read that kind of story, and maybe I'll 11 00:00:34,720 --> 00:00:37,320 Speaker 1: find one other person that cares about this, Larry Tapp, 12 00:00:37,440 --> 00:00:40,519 Speaker 1: He's head of market Structure a Bloomberg Intelligence. Larry, can 13 00:00:40,560 --> 00:00:43,560 Speaker 1: you explain to us what is going on here? To 14 00:00:43,600 --> 00:00:45,360 Speaker 1: explain it? Like I'm five years old, because when I 15 00:00:45,400 --> 00:00:47,040 Speaker 1: started the business, I think it was T plus seven. 16 00:00:47,120 --> 00:00:49,839 Speaker 1: That was a gentlemanly timeframe. Now it's T plus one. 17 00:00:49,920 --> 00:00:50,360 Speaker 1: What's going on? 18 00:00:51,720 --> 00:00:56,240 Speaker 5: Not a problem, Paul? Yeah, you know, starting today, securities 19 00:00:56,280 --> 00:01:01,840 Speaker 5: traded today will actually settle tomorrow instead of on on Thursday. 20 00:01:01,960 --> 00:01:05,880 Speaker 5: So what that means is that we buy I buy 21 00:01:05,920 --> 00:01:09,920 Speaker 5: Apple today, and on tomorrow tomorrow, I get the shares 22 00:01:10,000 --> 00:01:14,200 Speaker 5: in my account and my broker takes the payment out 23 00:01:14,280 --> 00:01:17,280 Speaker 5: of my out of my account. Now for most retail 24 00:01:17,680 --> 00:01:19,360 Speaker 5: it's not going to be that big an issue. It's 25 00:01:19,800 --> 00:01:23,360 Speaker 5: much more of an institutional issue where the securities in 26 00:01:23,480 --> 00:01:26,880 Speaker 5: cash don't reside at the broker, where they reside at 27 00:01:26,880 --> 00:01:30,360 Speaker 5: a third party custodian, and that becomes a little more complicated. 28 00:01:30,920 --> 00:01:33,400 Speaker 6: So how does it become complicated? Like it seems like 29 00:01:33,440 --> 00:01:35,920 Speaker 6: a pretty straightforward thing, right, So where do the problems lie? 30 00:01:37,640 --> 00:01:41,720 Speaker 5: Well, there are there are problems will lie in four 31 00:01:41,840 --> 00:01:48,000 Speaker 5: or five different areas. The biggest problem is with foreign exchange. 32 00:01:48,040 --> 00:01:52,240 Speaker 5: So let's just say I am Aberdeen and I'm located 33 00:01:52,920 --> 00:01:58,160 Speaker 5: in Scotland or wherever, or in London. If they buy Apple, 34 00:02:00,040 --> 00:02:06,240 Speaker 5: they're going to have to actually send over currency pounds 35 00:02:06,600 --> 00:02:09,639 Speaker 5: and convert that to dollars and pay for that. The 36 00:02:09,760 --> 00:02:12,639 Speaker 5: problem is that currency takes two days to settle in 37 00:02:12,760 --> 00:02:16,960 Speaker 5: standard currency settlement, whereas the securities will settle in one day. 38 00:02:17,040 --> 00:02:19,519 Speaker 5: So if they buy Apple today, will have to pay 39 00:02:19,560 --> 00:02:22,160 Speaker 5: for the securities tomorrow. But if they send over pounds 40 00:02:22,240 --> 00:02:24,680 Speaker 5: to pay for that to cover that, the pounds won't 41 00:02:24,720 --> 00:02:29,280 Speaker 5: actually get converted to dollars till Thursday, which means they 42 00:02:29,320 --> 00:02:32,720 Speaker 5: won't have the cash there on time, which means they 43 00:02:32,720 --> 00:02:35,639 Speaker 5: either have to finance that purchase, or they have to 44 00:02:35,720 --> 00:02:40,639 Speaker 5: move the cash earlier, or they have to instead of 45 00:02:40,760 --> 00:02:44,959 Speaker 5: using Swift or CLS, which is the currency settlement system, 46 00:02:45,360 --> 00:02:47,720 Speaker 5: they actually have to call somebody and say, hey, let's 47 00:02:47,760 --> 00:02:51,080 Speaker 5: do this on an emergency basis and get this taken 48 00:02:51,160 --> 00:02:54,480 Speaker 5: care of. And so that's an issue. The second it 49 00:02:55,160 --> 00:02:59,600 Speaker 5: has to do with securities lending. So if my security 50 00:02:59,639 --> 00:03:02,880 Speaker 5: is of my apples out on loan, they have to 51 00:03:02,960 --> 00:03:05,320 Speaker 5: get that back so that I can actually make sure 52 00:03:05,440 --> 00:03:08,280 Speaker 5: that can get delivered. Now, Apple's probably not a big 53 00:03:08,360 --> 00:03:11,320 Speaker 5: issue there, but if it's hard to borrow security, it 54 00:03:11,400 --> 00:03:14,760 Speaker 5: might be much more difficult to find the securities, you know, 55 00:03:14,800 --> 00:03:17,040 Speaker 5: if I've lent them out to try to collect a feed, 56 00:03:17,480 --> 00:03:21,560 Speaker 5: getting them back maybe a little bit more problematic. Other 57 00:03:21,680 --> 00:03:25,200 Speaker 5: issues which impact actually everybody in the US is the 58 00:03:25,280 --> 00:03:29,240 Speaker 5: allocation confirmation process. So if I'm FIDELI or if I'm 59 00:03:29,240 --> 00:03:31,480 Speaker 5: a big asset manager, I'm not buying one hundred or 60 00:03:31,520 --> 00:03:34,280 Speaker 5: two hundred shares of Apple. I'm probably buying one hundred 61 00:03:34,360 --> 00:03:38,839 Speaker 5: thousand or a million shares of Apple. Trays these days 62 00:03:38,920 --> 00:03:42,800 Speaker 5: don't necessarily occur in these big blocks like they used to. 63 00:03:43,040 --> 00:03:45,840 Speaker 5: They get broken up into algos and they get executed 64 00:03:45,920 --> 00:03:50,160 Speaker 5: in hundred share increments. That said, the und share increments 65 00:03:50,200 --> 00:03:53,440 Speaker 5: don't settle immediately. They have to be badged up. We 66 00:03:53,560 --> 00:03:56,320 Speaker 5: have to create an average price. There's a lot of 67 00:03:56,520 --> 00:03:59,760 Speaker 5: manual or at least what used to be manual effort 68 00:03:59,840 --> 00:04:03,880 Speaker 5: involved in managing that, and the process just needs to 69 00:04:03,920 --> 00:04:08,160 Speaker 5: be sped up. And the close out time is generally 70 00:04:08,320 --> 00:04:12,480 Speaker 5: nine nine PM for that, and so they have between 71 00:04:12,800 --> 00:04:15,480 Speaker 5: you know, four and nine to get all that operational 72 00:04:15,560 --> 00:04:18,800 Speaker 5: stuff done and that just takes, you know, takes time 73 00:04:18,920 --> 00:04:22,320 Speaker 5: sometimes when when it you know, becomes harder to add 74 00:04:22,440 --> 00:04:24,520 Speaker 5: all this stuff up and average price it out and 75 00:04:24,640 --> 00:04:28,040 Speaker 5: break them up into the transactions. Because it's probably not 76 00:04:28,400 --> 00:04:31,360 Speaker 5: a million shares of Apple for one fidelity account. It 77 00:04:31,440 --> 00:04:35,080 Speaker 5: could be you know, ten different portfolios that are buying 78 00:04:35,120 --> 00:04:37,360 Speaker 5: Apple and it has to be broken up into you know, 79 00:04:37,600 --> 00:04:41,640 Speaker 5: ten little clumps. And there are a couple of other issues, 80 00:04:41,720 --> 00:04:42,839 Speaker 5: but those are the big ones. 81 00:04:43,440 --> 00:04:47,240 Speaker 1: So given all that, why is a SEC doing this 82 00:04:47,440 --> 00:04:53,680 Speaker 1: is simply because from a technological perspective, they can, well. 83 00:04:53,600 --> 00:04:56,200 Speaker 5: The SEC can do a lot of things, but increasingly 84 00:04:57,520 --> 00:04:59,880 Speaker 5: people are suing the SEC, so there they can't do 85 00:05:00,040 --> 00:05:04,120 Speaker 5: anything they want. I think the issue here revolves around 86 00:05:04,680 --> 00:05:08,120 Speaker 5: the Robinhood issue back in January of twenty twenty one, 87 00:05:08,200 --> 00:05:10,080 Speaker 5: where they got a margin call to come up with 88 00:05:10,160 --> 00:05:14,680 Speaker 5: three billion dollars to cover all the memestock buying. And 89 00:05:14,920 --> 00:05:17,560 Speaker 5: so there's an old saying in the back office that 90 00:05:17,680 --> 00:05:20,600 Speaker 5: nothing good ever happens between trading and settlement date. So 91 00:05:21,560 --> 00:05:26,359 Speaker 5: the challenge there is that if for whatever reason, XYZ 92 00:05:26,560 --> 00:05:31,800 Speaker 5: broker goes bankrupt, you know, you know on one day, 93 00:05:33,240 --> 00:05:36,320 Speaker 5: the shorter the settlement period is, the more likely that 94 00:05:37,960 --> 00:05:41,040 Speaker 5: those transactions get paid for and they don't have to 95 00:05:41,120 --> 00:05:44,680 Speaker 5: be funded by you know, the industry, because right now 96 00:05:44,720 --> 00:05:47,800 Speaker 5: what happens is all these transactions washed through the DTCC. 97 00:05:48,520 --> 00:05:54,120 Speaker 5: The DTCC, the depository trust guarantees settlements. So if God forbid, 98 00:05:54,200 --> 00:05:59,720 Speaker 5: a broker goes down, you know, the other side of 99 00:05:59,720 --> 00:06:03,440 Speaker 5: the isn't broken. But to do that they have to 100 00:06:03,480 --> 00:06:07,160 Speaker 5: take margin from virtually the whole industry. And so if 101 00:06:07,240 --> 00:06:11,279 Speaker 5: you shorten the settlement cycle, the risk of failure goes down, 102 00:06:11,839 --> 00:06:13,760 Speaker 5: and so the amount of margin that you have to 103 00:06:13,880 --> 00:06:18,000 Speaker 5: put up to guarantee those trades goes down, and so 104 00:06:19,200 --> 00:06:23,240 Speaker 5: it just takes less risk, It takes risk out of 105 00:06:23,279 --> 00:06:24,200 Speaker 5: the settlement system. 106 00:06:25,120 --> 00:06:27,560 Speaker 6: So Larry, with that in mind, how long are we 107 00:06:27,680 --> 00:06:30,560 Speaker 6: going to know? At what point when we know if 108 00:06:30,680 --> 00:06:34,560 Speaker 6: T plus one is working or the difficulties are cropping up, 109 00:06:35,240 --> 00:06:36,120 Speaker 6: when are we going to know that? 110 00:06:37,880 --> 00:06:41,440 Speaker 5: Well, it depends on who we is, the brokers and 111 00:06:41,720 --> 00:06:44,960 Speaker 5: the custodians and the folks involved that the transactions will 112 00:06:45,040 --> 00:06:51,520 Speaker 5: know pretty quickly, you know. The problem is that data 113 00:06:51,600 --> 00:06:55,080 Speaker 5: to the rest of the public probably won't be known 114 00:06:55,240 --> 00:06:58,080 Speaker 5: for a while. And where we expect to see problems 115 00:06:58,120 --> 00:07:01,960 Speaker 5: occur would be in the fail numbers. So if if, if, 116 00:07:02,240 --> 00:07:04,440 Speaker 5: if I have to, if I'm a European, if I 117 00:07:04,760 --> 00:07:06,600 Speaker 5: go back up, I'm Aberdeen, and I have to pay 118 00:07:06,720 --> 00:07:09,720 Speaker 5: for Apple and the US and my payment doesn't come 119 00:07:09,760 --> 00:07:13,800 Speaker 5: in two things Leiter happen. One is that I'll have 120 00:07:13,920 --> 00:07:17,920 Speaker 5: to borrow cash from my bank, in which case we 121 00:07:18,080 --> 00:07:20,800 Speaker 5: may never know about it because it's it'll just be 122 00:07:20,920 --> 00:07:24,040 Speaker 5: wind up being a loan from X y Z bank 123 00:07:24,120 --> 00:07:30,360 Speaker 5: to Aberdeen. Or two, the securities will fail and then 124 00:07:30,480 --> 00:07:32,960 Speaker 5: the fail numbers come out on a delayed basis, so 125 00:07:33,080 --> 00:07:35,120 Speaker 5: we won't know what the fails wind up going up 126 00:07:35,160 --> 00:07:38,920 Speaker 5: for a couple of weeks. And so that's where and 127 00:07:39,040 --> 00:07:41,720 Speaker 5: so and the third issue is that if all hell 128 00:07:41,840 --> 00:07:46,160 Speaker 5: breaks loose and we have a real problem, that'll be 129 00:07:46,280 --> 00:07:49,960 Speaker 5: known in the back offices before anything. And the question is, 130 00:07:50,280 --> 00:07:52,640 Speaker 5: you know what kind of transparency will we get out 131 00:07:52,640 --> 00:07:55,120 Speaker 5: of it. Maybe we'll know some stuff from the Federal 132 00:07:55,160 --> 00:07:59,680 Speaker 5: Reserve if things go drastically awry, or the d DCC, 133 00:08:00,040 --> 00:08:03,040 Speaker 5: your CEFMA. But they're going to have to They're gonna 134 00:08:03,040 --> 00:08:05,320 Speaker 5: have to publish that information. It's not like something that 135 00:08:05,360 --> 00:08:09,560 Speaker 5: we could see on a screen on the Bloomberg screen, right, 136 00:08:09,760 --> 00:08:12,280 Speaker 5: A lot of that stuff is fairly private data. 137 00:08:12,440 --> 00:08:14,400 Speaker 1: All right, Larry, We're gonna to leave it there. Great stuff. 138 00:08:14,480 --> 00:08:17,840 Speaker 1: Larry tab head of market Structure Bloomberg Intelligence. He is 139 00:08:18,000 --> 00:08:20,440 Speaker 1: on top of He is the leading voice in the 140 00:08:20,480 --> 00:08:24,000 Speaker 1: marketplace a back all these markets actually work. This is Bloomberg. 141 00:08:29,200 --> 00:08:33,040 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 142 00:08:33,160 --> 00:08:36,680 Speaker 2: weekdays at ten am Eastern on applecard Play and Android 143 00:08:36,720 --> 00:08:39,440 Speaker 2: Outo with the Bloomberg Business app. You can also listen 144 00:08:39,600 --> 00:08:42,680 Speaker 2: live on Amazon Alexa from our flagship New York station. 145 00:08:43,080 --> 00:08:47,520 Speaker 2: Just say Alexa, play Bloomberg eleven thirty Alex. 146 00:08:47,720 --> 00:08:50,439 Speaker 1: This is how it was described to buy. Our next 147 00:08:50,480 --> 00:08:51,880 Speaker 1: guest to me the first time I met him. The 148 00:08:51,960 --> 00:08:53,400 Speaker 1: biggest company you never heard of? 149 00:08:53,760 --> 00:08:54,000 Speaker 4: For me? 150 00:08:54,240 --> 00:08:56,360 Speaker 1: Love that My man was I this is a fifty 151 00:08:56,440 --> 00:08:59,040 Speaker 1: billion this is Arthur J. Gallagher and Company. It's an 152 00:08:59,040 --> 00:09:01,640 Speaker 1: insurance company. I don't anything about insurance, and maybe that 153 00:09:01,679 --> 00:09:03,520 Speaker 1: has some something to do with it. But it's fifty 154 00:09:03,559 --> 00:09:05,400 Speaker 1: four billion dollars in market cap. I mean, it's up 155 00:09:05,440 --> 00:09:07,760 Speaker 1: ten percent this year of the stock, up twenty three 156 00:09:07,840 --> 00:09:10,199 Speaker 1: percent over the trailing twelve months. It just up into 157 00:09:10,280 --> 00:09:13,040 Speaker 1: the right every year. Why haven't I paid it more 158 00:09:13,040 --> 00:09:14,120 Speaker 1: attention to this one? But thank you. 159 00:09:14,120 --> 00:09:15,200 Speaker 6: It's like a family business. 160 00:09:15,240 --> 00:09:15,439 Speaker 4: I know. 161 00:09:15,640 --> 00:09:18,520 Speaker 1: Great grandfather Pac Allagher joins this year, great grandson of 162 00:09:18,559 --> 00:09:21,760 Speaker 1: the founder. He's the chief executive officer of Gallagher Insurance. 163 00:09:22,200 --> 00:09:25,240 Speaker 1: Pat talk to us about your company. You're based on Chicago. 164 00:09:25,320 --> 00:09:28,079 Speaker 1: Talk to us about a typical customer of yours and 165 00:09:28,120 --> 00:09:30,319 Speaker 1: a typical piece of business you do for your customers. 166 00:09:30,600 --> 00:09:32,320 Speaker 1: What are you guys really focusing on these days? 167 00:09:32,440 --> 00:09:34,319 Speaker 4: Well, first of all, pall we're not an insurance company, 168 00:09:34,400 --> 00:09:37,079 Speaker 4: so we don't take risks. We're insurance programs. 169 00:09:37,040 --> 00:09:38,920 Speaker 1: So much rights. 170 00:09:39,240 --> 00:09:41,280 Speaker 4: And it was my grandfather start of the company, not 171 00:09:41,400 --> 00:09:44,640 Speaker 4: my great grandfather. But anyway, every single day we get 172 00:09:44,679 --> 00:09:46,680 Speaker 4: up and we talk to customers about what the things 173 00:09:46,720 --> 00:09:49,920 Speaker 4: are that they are facing them that could cause real 174 00:09:50,000 --> 00:09:52,360 Speaker 4: disaster in their business. So this can be a business 175 00:09:52,400 --> 00:09:55,120 Speaker 4: as large as any of the largest companies in America 176 00:09:55,280 --> 00:09:58,240 Speaker 4: with professional risk management staff, all the way down to 177 00:09:58,320 --> 00:10:01,000 Speaker 4: the smallest of companies that you know in neighborhood, and 178 00:10:01,160 --> 00:10:04,480 Speaker 4: each of these businesses faces all kinds of complex risk 179 00:10:04,559 --> 00:10:07,520 Speaker 4: that's becoming more complex as we sit here. We never 180 00:10:07,640 --> 00:10:10,040 Speaker 4: ever thought of cyber ten years ago. Cyber is a 181 00:10:10,400 --> 00:10:14,160 Speaker 4: huge risk. Everybody's concerned about it. I tell our production 182 00:10:14,320 --> 00:10:17,160 Speaker 4: for us, if you're talking to the largest company in America, 183 00:10:17,280 --> 00:10:19,680 Speaker 4: or you're talking to someone who owns nothing more than 184 00:10:19,760 --> 00:10:22,599 Speaker 4: a sundry shop, they've got to be concerned about this. 185 00:10:22,800 --> 00:10:24,839 Speaker 4: And now you add AI to that, and so you 186 00:10:24,960 --> 00:10:28,160 Speaker 4: see the world everywhere. On top of that, of course, 187 00:10:28,240 --> 00:10:30,840 Speaker 4: you've got climate change and weather related issues that are 188 00:10:30,880 --> 00:10:33,080 Speaker 4: happening across the world, which is one of the reasons 189 00:10:33,120 --> 00:10:35,880 Speaker 4: why you see such a difficult time, for instance, getting 190 00:10:36,160 --> 00:10:40,839 Speaker 4: homeowners insurance in places like southern southern Florida. The point 191 00:10:40,960 --> 00:10:44,640 Speaker 4: is that every single company, every single organization out there, 192 00:10:44,760 --> 00:10:48,000 Speaker 4: faces these risks. What do they do with them. Insurance 193 00:10:48,040 --> 00:10:50,800 Speaker 4: plays one role. The other part of a broker's role 194 00:10:50,880 --> 00:10:53,080 Speaker 4: is to say, there's some things that aren't ensurable, Now, 195 00:10:53,120 --> 00:10:54,600 Speaker 4: how do we deal with that? What are the things 196 00:10:54,679 --> 00:10:56,679 Speaker 4: we do to help you control that. So we look 197 00:10:56,720 --> 00:10:59,760 Speaker 4: at a full spectrum of risk for a client and say, 198 00:10:59,800 --> 00:11:01,280 Speaker 4: these are the things that we can do to help 199 00:11:01,360 --> 00:11:04,319 Speaker 4: you deal with that as you go forward, and that 200 00:11:04,640 --> 00:11:08,360 Speaker 4: is incredibly valuable. We have a survey that we're just 201 00:11:08,480 --> 00:11:11,040 Speaker 4: finalizing the details on now. We talked to about one 202 00:11:11,080 --> 00:11:15,520 Speaker 4: thousand business owners across America and it's interesting to me 203 00:11:15,640 --> 00:11:18,920 Speaker 4: because it really is a finger on the pulse. They're 204 00:11:19,120 --> 00:11:22,240 Speaker 4: very concerned about weather related issues. Oh yeah, weather has 205 00:11:22,280 --> 00:11:24,800 Speaker 4: all of a sudden gone from something that's important on 206 00:11:24,880 --> 00:11:27,880 Speaker 4: the coasts to something that's important everywhere. I mean, I 207 00:11:27,960 --> 00:11:30,400 Speaker 4: grew up in the Midwest. We never had tornadoes in 208 00:11:30,440 --> 00:11:34,240 Speaker 4: the fall. Now that's normal. So just unfortunately a week 209 00:11:34,280 --> 00:11:36,840 Speaker 4: ago in Iowa there was a terrible school So people 210 00:11:36,880 --> 00:11:39,000 Speaker 4: are worried about that. They're worried about tech. 211 00:11:39,480 --> 00:11:42,720 Speaker 6: So how many how many? So what kind of customers 212 00:11:42,800 --> 00:11:45,240 Speaker 6: come to you and you say and they're like I 213 00:11:45,280 --> 00:11:47,320 Speaker 6: can't get coverage on this, or like I need coverage 214 00:11:47,360 --> 00:11:50,480 Speaker 6: on this, but I can't get it, or how has 215 00:11:50,559 --> 00:11:53,640 Speaker 6: that conversation evolved just in the last five years. 216 00:11:53,880 --> 00:11:56,199 Speaker 4: Oh, it's huge, So let's let's first of all, a 217 00:11:56,240 --> 00:11:58,360 Speaker 4: big part of what we do is help people take 218 00:11:58,400 --> 00:12:00,679 Speaker 4: their own risk. So that can take the form of 219 00:12:00,760 --> 00:12:03,760 Speaker 4: a large client creating a self insured platform where we 220 00:12:03,960 --> 00:12:07,120 Speaker 4: ensure excess of large deductibles. It can also go on 221 00:12:07,520 --> 00:12:09,600 Speaker 4: all the way to the middle market where groups band 222 00:12:09,679 --> 00:12:13,360 Speaker 4: together to form captive insurance companies. So the first the 223 00:12:13,440 --> 00:12:15,360 Speaker 4: first line of defense, of course, is to look at 224 00:12:15,400 --> 00:12:18,760 Speaker 4: all this and say what's insurable. Okay, you've got plants 225 00:12:18,800 --> 00:12:21,920 Speaker 4: in Iowa, You've got plants in Naples, Florida. How's that 226 00:12:22,040 --> 00:12:24,400 Speaker 4: going to shake out? What's that going to look like. Secondly, 227 00:12:24,520 --> 00:12:27,439 Speaker 4: you've got workers. You have to ensure the worker's compensation. 228 00:12:28,000 --> 00:12:30,120 Speaker 4: Those types of things you check off the list first. 229 00:12:30,480 --> 00:12:33,160 Speaker 4: Then you come back and say, these things either shouldn't 230 00:12:33,280 --> 00:12:37,000 Speaker 4: be or can't be insured. And there, Alexis really is 231 00:12:37,080 --> 00:12:40,760 Speaker 4: really the point of differentiation, because that's where we bring 232 00:12:40,800 --> 00:12:43,679 Speaker 4: an expert in to your point. If you ask anybody 233 00:12:43,760 --> 00:12:46,959 Speaker 4: out in the marketplace, not everything's insurable. Who's going to 234 00:12:47,000 --> 00:12:49,960 Speaker 4: help me? If you happen to be a builder. That's 235 00:12:50,000 --> 00:12:52,040 Speaker 4: a different answer than if you happen to be a school, 236 00:12:52,520 --> 00:12:55,200 Speaker 4: school district or university. So you have to have people 237 00:12:55,280 --> 00:12:59,160 Speaker 4: that talk that language, and that is really what differentiates us. 238 00:12:59,760 --> 00:13:01,600 Speaker 4: It's not just about quoting insurance. 239 00:13:01,920 --> 00:13:05,640 Speaker 1: And you're a global business. Talk to us about the 240 00:13:05,720 --> 00:13:07,800 Speaker 1: business here in the US versus maybe some of the 241 00:13:07,880 --> 00:13:09,560 Speaker 1: other bigger markets outside the US. 242 00:13:10,080 --> 00:13:12,000 Speaker 4: So we are global business. We like to say that 243 00:13:12,120 --> 00:13:15,600 Speaker 4: any account of any size, located anywhere in the world, 244 00:13:15,720 --> 00:13:17,839 Speaker 4: we can do and we can be helpful too. If 245 00:13:17,880 --> 00:13:19,599 Speaker 4: you look at the United States, though, we have a 246 00:13:19,760 --> 00:13:24,480 Speaker 4: very interesting business here in that it's incredibly fragmented right now. 247 00:13:24,559 --> 00:13:29,040 Speaker 4: We have thirty thousand competitors. Those aren't people, those are firms. 248 00:13:29,520 --> 00:13:31,800 Speaker 4: So in your local community, you know, you drive by 249 00:13:31,920 --> 00:13:35,200 Speaker 4: main Street and you'll see Jones Insurance that's a competitor 250 00:13:35,200 --> 00:13:39,079 Speaker 4: of ours. So it goes from those thirty thousand in 251 00:13:39,240 --> 00:13:41,520 Speaker 4: business insurance, the top one hundred went all the way 252 00:13:41,559 --> 00:13:44,400 Speaker 4: down to thirty five million, thirty six million in revenue. 253 00:13:44,440 --> 00:13:47,319 Speaker 4: We did about ten billion last year and the other 254 00:13:47,480 --> 00:13:50,440 Speaker 4: twenty nine nine hundred are smaller than that. So it's 255 00:13:50,480 --> 00:13:54,280 Speaker 4: just incredibly fragmented business with professionals of all sizes and 256 00:13:54,400 --> 00:13:57,439 Speaker 4: sorts around the country. That we have a very strong 257 00:13:57,520 --> 00:14:00,800 Speaker 4: platform of acquisitions and we bring those people in, we 258 00:14:00,960 --> 00:14:03,679 Speaker 4: don't want them to leave us. We feel that one 259 00:14:03,760 --> 00:14:08,080 Speaker 4: plus one can equal five. Paul, you're in your community, 260 00:14:08,280 --> 00:14:11,559 Speaker 4: you know your people. You're very good at insurance. But 261 00:14:11,679 --> 00:14:14,040 Speaker 4: when we bring our capabilities in, when we bring our 262 00:14:14,160 --> 00:14:17,079 Speaker 4: data and analytics. Now that big account in town, that 263 00:14:17,280 --> 00:14:20,880 Speaker 4: large contractor the large university that you knew you had 264 00:14:20,920 --> 00:14:23,320 Speaker 4: to stay away from, let's go get it together. And 265 00:14:23,400 --> 00:14:25,800 Speaker 4: if that energizes you, you'll be a great fit for 266 00:14:25,880 --> 00:14:26,800 Speaker 4: our acquisition team. 267 00:14:27,480 --> 00:14:29,920 Speaker 1: You're going to sell insurance, No, but it's people I 268 00:14:30,000 --> 00:14:32,400 Speaker 1: know that so insurance do fair very well. And you 269 00:14:32,400 --> 00:14:33,800 Speaker 1: spend a lot of time on the golf course too, 270 00:14:33,840 --> 00:14:35,160 Speaker 1: which I don't figure out that business. 271 00:14:35,200 --> 00:14:39,280 Speaker 4: Oh ok, yeah, we are recruiting Paul. 272 00:14:39,320 --> 00:14:42,960 Speaker 1: By the way, I think exactly what is a typical 273 00:14:43,320 --> 00:14:45,240 Speaker 1: acquisition for you guys. Is there a typical size you 274 00:14:45,440 --> 00:14:46,960 Speaker 1: like or is there a typical revenue. 275 00:14:46,720 --> 00:14:49,280 Speaker 4: Number you like? Well, we're not afraid to do large deals, 276 00:14:49,360 --> 00:14:51,280 Speaker 4: and in the last ten years we've done a number 277 00:14:51,320 --> 00:14:53,440 Speaker 4: that have reached that billion mark and we're very proud 278 00:14:53,480 --> 00:14:55,080 Speaker 4: of that. But really if you go back to my 279 00:14:55,240 --> 00:14:59,520 Speaker 4: comment about size of the availability in the United States, 280 00:14:59,560 --> 00:15:02,960 Speaker 4: and this is mirrored globally. Most of the people who 281 00:15:03,000 --> 00:15:05,920 Speaker 4: are out there that are private are smaller. And by 282 00:15:06,000 --> 00:15:09,040 Speaker 4: that I mean our average acquisition size is probably somewhere 283 00:15:09,040 --> 00:15:11,920 Speaker 4: around ten million in revenue. Okay, it's probably owned by 284 00:15:11,960 --> 00:15:14,880 Speaker 4: two or three entrepreneurs, may have started at their dining 285 00:15:14,960 --> 00:15:17,560 Speaker 4: room table, or their parents may have started it. They've 286 00:15:17,600 --> 00:15:20,120 Speaker 4: grown the business to a great size for them in 287 00:15:20,200 --> 00:15:22,640 Speaker 4: their local community. To your point, Paul, they make a 288 00:15:22,880 --> 00:15:26,560 Speaker 4: very good living, and yet at the same time, if 289 00:15:26,600 --> 00:15:29,080 Speaker 4: they want to stay in touch with what's happening in 290 00:15:29,160 --> 00:15:32,920 Speaker 4: the future, AI, cyber data analytics, et cetera, they need 291 00:15:33,000 --> 00:15:36,440 Speaker 4: a partner. And that's what we bring. And again back 292 00:15:36,480 --> 00:15:39,600 Speaker 4: to the point that we don't synergize out costs and 293 00:15:39,680 --> 00:15:41,640 Speaker 4: say come in here, get rid of everybody. We just 294 00:15:41,680 --> 00:15:43,880 Speaker 4: want your book of business. We want to take that 295 00:15:44,040 --> 00:15:45,560 Speaker 4: platform and really expand it. 296 00:15:46,040 --> 00:15:48,480 Speaker 1: That thirty seconds left, Pat, just how's your year been 297 00:15:48,600 --> 00:15:48,920 Speaker 1: so far? 298 00:15:49,400 --> 00:15:49,720 Speaker 2: Years? 299 00:15:49,760 --> 00:15:52,040 Speaker 4: Looking great? Thank you very much. The last five years 300 00:15:52,080 --> 00:15:53,920 Speaker 4: have been terrific, and we look at the future and 301 00:15:54,000 --> 00:15:54,960 Speaker 4: we're just getting started. 302 00:15:55,200 --> 00:15:57,160 Speaker 1: All right, sounds good to me. The insurance business is 303 00:15:57,200 --> 00:15:58,760 Speaker 1: a good business. They all tell me that, but I 304 00:15:58,880 --> 00:15:59,760 Speaker 1: just don't understand it. 305 00:16:00,120 --> 00:16:01,880 Speaker 3: To be honest, I buy a lot of it. Yeah, 306 00:16:01,880 --> 00:16:03,160 Speaker 3: I was gonna say, we buy a lot of it. 307 00:16:03,280 --> 00:16:04,160 Speaker 3: This is very true. 308 00:16:04,680 --> 00:16:06,760 Speaker 1: Yeah, I thought a lot of Pat Gallagher. He's the 309 00:16:06,840 --> 00:16:10,320 Speaker 1: chief executive officer of Gallagher Insurance. Joining Slive here on 310 00:16:10,360 --> 00:16:13,840 Speaker 1: a Bloomberg Interactive Brokers studio. Again, this is a large 311 00:16:14,160 --> 00:16:16,720 Speaker 1: insurance brokerage firm, so I have to make sure I 312 00:16:17,000 --> 00:16:19,520 Speaker 1: get that correct. Matt Palosol always on top of me 313 00:16:19,560 --> 00:16:21,720 Speaker 1: about that. But I'm just looking at the revenue. Ten 314 00:16:21,760 --> 00:16:24,239 Speaker 1: billion dollars of revenue, so it's just really extraordinary. 315 00:16:25,800 --> 00:16:29,640 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 316 00:16:29,760 --> 00:16:32,840 Speaker 2: weekdays at ten am Eastern on fo card playing Android 317 00:16:32,880 --> 00:16:35,920 Speaker 2: outo with the Bloomberg Business app. Listen on demand wherever 318 00:16:36,040 --> 00:16:39,160 Speaker 2: you get your podcasts, or watch us live on YouTube. 319 00:16:40,520 --> 00:16:43,640 Speaker 1: All right, let's check in with guy. He's pretty good 320 00:16:43,680 --> 00:16:46,280 Speaker 1: on tech Space, He's okay, he's not bad. On Rock 321 00:16:46,320 --> 00:16:49,560 Speaker 1: run our senior technology anelsts for Bloomberg Intelligence. On Rock, 322 00:16:49,600 --> 00:16:51,840 Speaker 1: I was kind of paraphrasing what I think you're gonna 323 00:16:51,880 --> 00:16:55,760 Speaker 1: say about this report that you know their iPhone shipments 324 00:16:55,760 --> 00:16:57,920 Speaker 1: are up at gajillion percent here in the latest period. 325 00:16:58,640 --> 00:17:00,640 Speaker 1: But talk to us about this data coming out of China. 326 00:17:00,680 --> 00:17:04,240 Speaker 1: How reliable is it and how predictive is it? And 327 00:17:05,200 --> 00:17:07,239 Speaker 1: if it's up fifty percent in the latest period, why 328 00:17:07,359 --> 00:17:08,960 Speaker 1: isn't Apple stock up a lot more today? 329 00:17:10,040 --> 00:17:12,440 Speaker 3: Yes, that's a very good question, Paul, And again I 330 00:17:12,560 --> 00:17:14,920 Speaker 3: have nothing against the people who collect this data and 331 00:17:15,280 --> 00:17:17,840 Speaker 3: figure it out, but this is the way I looked 332 00:17:17,880 --> 00:17:20,320 Speaker 3: at it. In jan and Feb this data was down 333 00:17:20,400 --> 00:17:23,520 Speaker 3: I think minus thirty five minus forty percent or so, 334 00:17:24,119 --> 00:17:26,520 Speaker 3: and then when Apple reported their quarter, they said, you 335 00:17:26,600 --> 00:17:30,600 Speaker 3: know what, mainland China, our iPhone revenue grew. So there 336 00:17:30,680 --> 00:17:34,399 Speaker 3: is not that direct correlation between the two numbers. And 337 00:17:34,520 --> 00:17:37,600 Speaker 3: it could be because there are times when Apple you know, 338 00:17:37,840 --> 00:17:41,359 Speaker 3: sells phone, but it's stuck in the inventory channel in between. 339 00:17:41,680 --> 00:17:44,000 Speaker 3: Then they put out a sale and then gets cleared up. 340 00:17:44,160 --> 00:17:46,359 Speaker 3: So it's a question of timing not so much. But 341 00:17:46,480 --> 00:17:49,040 Speaker 3: the big thing for us is that there is there 342 00:17:49,280 --> 00:17:52,240 Speaker 3: was a downdraft of negative news coming out of China. 343 00:17:52,640 --> 00:17:55,120 Speaker 3: It's turned positive two months in a row, so that's 344 00:17:55,160 --> 00:17:58,240 Speaker 3: a good news. Seems more like a cyclical issue to me. 345 00:17:58,400 --> 00:18:02,119 Speaker 3: Than a structural problem people giving away Apple phones not 346 00:18:02,200 --> 00:18:03,920 Speaker 3: buying it, So that's not the case. So that's a 347 00:18:03,960 --> 00:18:06,640 Speaker 3: good news. So I think, you know, from an overall 348 00:18:06,680 --> 00:18:08,480 Speaker 3: point of sentiment point of view, I think this is 349 00:18:08,520 --> 00:18:11,560 Speaker 3: good news for Apple that China, which in our view 350 00:18:11,680 --> 00:18:14,280 Speaker 3: is the most important market for them over the next 351 00:18:14,320 --> 00:18:16,440 Speaker 3: three to five years, and we are not going to 352 00:18:16,480 --> 00:18:20,639 Speaker 3: see you know, let's say eurobar declining share. I think 353 00:18:20,720 --> 00:18:23,000 Speaker 3: it's it's going to be okay over the next few years, 354 00:18:23,119 --> 00:18:25,240 Speaker 3: even if it goes ups and down. So that's really 355 00:18:25,280 --> 00:18:27,000 Speaker 3: the big takeaway for us. DAR. 356 00:18:27,320 --> 00:18:31,520 Speaker 6: So can I call this a nothing burger? No, that's 357 00:18:31,640 --> 00:18:34,760 Speaker 6: not true because I say that because you didn't hear it. 358 00:18:34,800 --> 00:18:37,000 Speaker 6: But Paul was guessing you would call this data a 359 00:18:37,080 --> 00:18:39,040 Speaker 6: nothing burger. But you're being too polite about it. 360 00:18:39,119 --> 00:18:42,080 Speaker 3: I think done a wrong So sentiment vice think about it. 361 00:18:42,440 --> 00:18:44,720 Speaker 3: The only thing that we've been hearing for almost a 362 00:18:44,800 --> 00:18:47,480 Speaker 3: year now that people don't want to buy iPhones in China, 363 00:18:47,640 --> 00:18:50,600 Speaker 3: it's because of the government and nationalism and so many 364 00:18:50,680 --> 00:18:52,840 Speaker 3: all things. And I think this one tells us that's 365 00:18:52,880 --> 00:18:56,040 Speaker 3: not the case. People are strapped for cash and if 366 00:18:56,080 --> 00:18:58,000 Speaker 3: they get a good deal on a phone, they'll buy it. 367 00:18:58,160 --> 00:19:00,520 Speaker 3: So what do I expect. I expect Apple to go 368 00:19:00,640 --> 00:19:03,880 Speaker 3: out and do more promotional activities over the next few 369 00:19:03,960 --> 00:19:07,240 Speaker 3: months to try and sell more products into the market. Now, 370 00:19:07,320 --> 00:19:10,280 Speaker 3: not every market is different. Apple's not known to give 371 00:19:10,520 --> 00:19:12,959 Speaker 3: a lot of discounts globally, but if that's what they 372 00:19:13,000 --> 00:19:14,119 Speaker 3: have to do in China, that's what. 373 00:19:14,160 --> 00:19:16,280 Speaker 5: They have to do, all right, fair enough. 374 00:19:16,880 --> 00:19:18,440 Speaker 6: But let's go to the discounts though for a second. 375 00:19:18,640 --> 00:19:21,240 Speaker 6: So even if we don't say, take this data as gold, 376 00:19:21,280 --> 00:19:25,399 Speaker 6: but just directionally, Apple and discounts tend not to go together, 377 00:19:25,440 --> 00:19:27,680 Speaker 6: at least in my mind. What do you make of that? 378 00:19:28,920 --> 00:19:30,720 Speaker 3: Yeah, I think this is a new thing for Apple, 379 00:19:30,760 --> 00:19:33,399 Speaker 3: and again they're probably grinding their teeth and not liking it. 380 00:19:33,560 --> 00:19:35,080 Speaker 3: But you know what, they have the rest of the 381 00:19:35,119 --> 00:19:37,520 Speaker 3: world to make up for it. In the US, for example, 382 00:19:37,640 --> 00:19:40,200 Speaker 3: people are liking to buy the higher end model, the 383 00:19:40,280 --> 00:19:43,760 Speaker 3: pro model. That helps margins, that helps the adage selling price. 384 00:19:44,040 --> 00:19:45,720 Speaker 3: So if they have to give a little bit up 385 00:19:45,800 --> 00:19:48,160 Speaker 3: to gain market share in China, I think they should 386 00:19:48,200 --> 00:19:50,120 Speaker 3: do it because you don't want to be branded as 387 00:19:50,520 --> 00:19:53,639 Speaker 3: somebody a second player in China out there, which is 388 00:19:54,040 --> 00:19:56,359 Speaker 3: you know, in our view, the most important market for 389 00:19:56,520 --> 00:19:59,640 Speaker 3: growth for Apple. Otherwise what's going to happen is you're 390 00:19:59,640 --> 00:20:02,320 Speaker 3: not going to see any growth in China. For that matter, 391 00:20:02,520 --> 00:20:04,440 Speaker 3: their top line growth is not going to grow, and 392 00:20:04,600 --> 00:20:07,639 Speaker 3: that's not good for the stock. Also, and ra' talk to. 393 00:20:07,680 --> 00:20:10,600 Speaker 1: Us about India. What is it as a percentage of 394 00:20:10,640 --> 00:20:12,840 Speaker 1: Apple's business today and what do you think it can 395 00:20:12,880 --> 00:20:14,879 Speaker 1: be five, six, seven years from now. 396 00:20:15,680 --> 00:20:17,919 Speaker 3: Yeah, so in our view, apples very small, less than 397 00:20:17,960 --> 00:20:20,800 Speaker 3: five percent. In fact, when you we have done a 398 00:20:20,920 --> 00:20:23,399 Speaker 3: lot of work on the number of shipments in India, 399 00:20:24,119 --> 00:20:27,080 Speaker 3: Apple's market share is you know, less than five percent. 400 00:20:27,320 --> 00:20:30,639 Speaker 3: But here's the kicker. Ninety five percent of the phones 401 00:20:30,680 --> 00:20:33,960 Speaker 3: don't even qualify for to be in the Apples you 402 00:20:34,040 --> 00:20:37,160 Speaker 3: could say ecosystem, which means they're under three hundred dollars. 403 00:20:38,160 --> 00:20:41,440 Speaker 3: As the Indian economy grows, as the middle class becomes 404 00:20:41,520 --> 00:20:44,040 Speaker 3: more affluent, I think Apple's going to be a winner 405 00:20:44,080 --> 00:20:46,040 Speaker 3: over here. But think about it this way. When we 406 00:20:46,160 --> 00:20:48,440 Speaker 3: look at the US with per capita income of let's 407 00:20:48,440 --> 00:20:51,240 Speaker 3: say sixty five seventy thousand dollars, somewhere in that realm, 408 00:20:51,600 --> 00:20:54,080 Speaker 3: China is around twelve and a half thousand dollars. India 409 00:20:54,240 --> 00:20:56,680 Speaker 3: is about two thousand, twenty five hundred dollars. So when 410 00:20:56,760 --> 00:21:00,200 Speaker 3: you look at these three ecosystems, I think I think 411 00:21:00,359 --> 00:21:03,720 Speaker 3: when we look at that growth driver from five years onwards, 412 00:21:04,080 --> 00:21:06,320 Speaker 3: that's where you know, India comes in and there's a 413 00:21:06,400 --> 00:21:08,800 Speaker 3: massive market there for Apple. But that's not going to 414 00:21:08,880 --> 00:21:09,760 Speaker 3: happen next year or the. 415 00:21:09,760 --> 00:21:12,679 Speaker 6: Year after, right, that's sort of a structural change, et 416 00:21:12,720 --> 00:21:15,000 Speaker 6: cetera in the market. I don't round what else are 417 00:21:15,040 --> 00:21:16,000 Speaker 6: you working on right now? 418 00:21:17,119 --> 00:21:19,000 Speaker 3: I think the biggest thing right now is what happens 419 00:21:19,040 --> 00:21:21,840 Speaker 3: at WWDC and whether that's going to be enough to 420 00:21:21,920 --> 00:21:25,480 Speaker 3: sustain this. You know, I would say optimism that we 421 00:21:25,600 --> 00:21:27,760 Speaker 3: have seen in Apple for the first time, I would 422 00:21:27,760 --> 00:21:30,640 Speaker 3: say in the last eighteen months, because we all knew 423 00:21:30,720 --> 00:21:33,040 Speaker 3: China was a problem. We saw that in the numbers, 424 00:21:33,760 --> 00:21:37,280 Speaker 3: sales numbers and not very strong. But AI has that 425 00:21:37,480 --> 00:21:40,920 Speaker 3: outside potential to go out and spur the next sale 426 00:21:40,960 --> 00:21:44,280 Speaker 3: off phones. Why because there is a massive amount over 427 00:21:44,359 --> 00:21:47,480 Speaker 3: forty three percent of the phones our iPhone twelve and below, 428 00:21:47,600 --> 00:21:50,520 Speaker 3: which is old phones with lower you know, you could 429 00:21:50,520 --> 00:21:53,439 Speaker 3: say RAM, memory and other things. Now for if they 430 00:21:53,520 --> 00:21:55,920 Speaker 3: go out and say I have really cool features coming 431 00:21:56,000 --> 00:21:58,040 Speaker 3: into the phone, you got to go find a way 432 00:21:58,080 --> 00:22:00,840 Speaker 3: to upgrade it. Now, if some he has a fourteen 433 00:22:00,920 --> 00:22:03,280 Speaker 3: or a fifteen, they're most likely not going to upgrade it. 434 00:22:03,560 --> 00:22:05,280 Speaker 3: But if you have something and I can iPhone ten, 435 00:22:05,400 --> 00:22:07,879 Speaker 3: iPhone eleven, there may be a reason enough for you 436 00:22:07,960 --> 00:22:11,879 Speaker 3: to upgrade it. So that really brings a new fresh 437 00:22:12,400 --> 00:22:15,520 Speaker 3: you could say life and Apple, and that's really important. 438 00:22:15,560 --> 00:22:18,480 Speaker 3: On June tenth, when they get this developer conference. 439 00:22:18,600 --> 00:22:23,200 Speaker 1: All right, I'm sitting on an Apple iPhone eleven. When 440 00:22:23,240 --> 00:22:23,879 Speaker 1: do I upgrade? 441 00:22:24,880 --> 00:22:27,640 Speaker 3: You should update it in the winter when the sixteen 442 00:22:27,720 --> 00:22:30,000 Speaker 3: comes out or whatever the name they give that phone, 443 00:22:30,000 --> 00:22:33,080 Speaker 3: because it should have a faster processor, it should have 444 00:22:33,160 --> 00:22:35,840 Speaker 3: a lot more memory. They'll just make things easier for you. 445 00:22:35,960 --> 00:22:37,639 Speaker 3: You can watch your golf shows in a little bit 446 00:22:37,920 --> 00:22:38,480 Speaker 3: easier way. 447 00:22:38,880 --> 00:22:39,280 Speaker 2: Very good. 448 00:22:39,320 --> 00:22:41,639 Speaker 1: Now, Tim Cook's sixty three, I'm gonna s whitch gears 449 00:22:41,640 --> 00:22:44,000 Speaker 1: on you? Is there any push for this guy to 450 00:22:44,280 --> 00:22:47,920 Speaker 1: put out a succession plan of note or things just 451 00:22:48,000 --> 00:22:50,760 Speaker 1: going so well at Apple that nobody's pushing for that. 452 00:22:51,880 --> 00:22:55,520 Speaker 3: See, Tim's done well. The Apple's done very well under Tim. 453 00:22:56,040 --> 00:22:58,040 Speaker 3: I have no way of predicting what he's going to leave, 454 00:22:58,200 --> 00:23:01,639 Speaker 3: but I really I mean, in my view, if you 455 00:23:01,760 --> 00:23:06,320 Speaker 3: were to somehow ring fence the China business. Apple alone 456 00:23:06,480 --> 00:23:09,159 Speaker 3: is a company that I think, you know, can do 457 00:23:09,840 --> 00:23:12,240 Speaker 3: can do good by itself. It doesn't really need a 458 00:23:12,320 --> 00:23:15,439 Speaker 3: massive charismatic leader in order to you know, come up 459 00:23:15,480 --> 00:23:18,159 Speaker 3: with that. This is a company with a global brand, 460 00:23:18,280 --> 00:23:21,480 Speaker 3: the products people love, people trust the products, and the 461 00:23:21,600 --> 00:23:24,800 Speaker 3: install base is very loyal. I mean, we think somewhere 462 00:23:24,840 --> 00:23:27,359 Speaker 3: in the mid nineties people can keep the phones. They 463 00:23:27,400 --> 00:23:30,600 Speaker 3: don't go out and change into a new ecosystem. I 464 00:23:30,680 --> 00:23:34,639 Speaker 3: think this is a phenomenal business. But you know, you 465 00:23:34,800 --> 00:23:37,359 Speaker 3: do need certain innovation, but not to the level you 466 00:23:37,440 --> 00:23:39,120 Speaker 3: need in other technology companies now. 467 00:23:39,160 --> 00:23:40,480 Speaker 6: But I wonder if you just need a really good 468 00:23:40,640 --> 00:23:43,000 Speaker 6: China ambassador within that company. 469 00:23:44,119 --> 00:23:46,280 Speaker 3: Yeah, I mean Tim's has been. Tim has been an 470 00:23:46,320 --> 00:23:49,080 Speaker 3: amazing China ambassador. If you go back, even the days 471 00:23:49,119 --> 00:23:52,520 Speaker 3: when we had China Tarraff wars, Apple really you know, 472 00:23:52,720 --> 00:23:55,639 Speaker 3: skated unhurt from there. Now. The only issue we have 473 00:23:55,720 --> 00:23:57,720 Speaker 3: been having in the last two three years is supply 474 00:23:57,840 --> 00:24:00,680 Speaker 3: chain problems in China because of COVID. Then after that 475 00:24:00,880 --> 00:24:03,680 Speaker 3: the consumers slow down and then a little bit negative 476 00:24:03,800 --> 00:24:05,680 Speaker 3: you know, you could say fights between the US and 477 00:24:05,760 --> 00:24:08,960 Speaker 3: China and that has had an impact on Apple. But 478 00:24:09,119 --> 00:24:10,760 Speaker 3: you know, in our view, if there is there is 479 00:24:10,840 --> 00:24:13,800 Speaker 3: the way to ring fact that I would say risk. 480 00:24:14,480 --> 00:24:16,600 Speaker 3: You know, Apple, Apple is a good company to look. 481 00:24:16,480 --> 00:24:18,639 Speaker 1: At all right, Honro, thanks so much for joining us 482 00:24:18,640 --> 00:24:22,200 Speaker 1: on a rock run a senior technology anaels Bloomberg Intelligence. 483 00:24:22,320 --> 00:24:27,639 Speaker 1: Just looking at the FA function for Apple revenue, the 484 00:24:27,760 --> 00:24:31,640 Speaker 1: forecast for their September twenty fourth or fiscal twenty four 485 00:24:31,720 --> 00:24:34,720 Speaker 1: year three hundred and eighty seven billion dollars of revenue, 486 00:24:35,640 --> 00:24:38,720 Speaker 1: net income, one hundred and one billion dollars in free 487 00:24:38,840 --> 00:24:41,760 Speaker 1: cash flow of one hundred and four billion dollars. 488 00:24:41,880 --> 00:24:42,680 Speaker 3: Look a lot of money. 489 00:24:42,840 --> 00:24:44,280 Speaker 6: That's like they make a lot of money. 490 00:24:50,800 --> 00:24:54,640 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 491 00:24:54,760 --> 00:24:57,680 Speaker 2: weekdays at ten am Eastern on Apple, card Play and 492 00:24:58,080 --> 00:25:01,040 Speaker 2: rout Auto with the Bloomberg Business. You can also listen 493 00:25:01,200 --> 00:25:04,280 Speaker 2: live on Amazon Alexa from our flagship New York station, 494 00:25:04,680 --> 00:25:07,400 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 495 00:25:08,440 --> 00:25:10,920 Speaker 6: We also take a view of Bloomberg ne EF. It's 496 00:25:10,920 --> 00:25:15,560 Speaker 6: Bloomberg New Energy Finance. They're a research center within Bloomberg 497 00:25:15,680 --> 00:25:20,240 Speaker 6: that covers commodities, power, transport, industry, buildings, AG sectors, technology, 498 00:25:20,280 --> 00:25:23,639 Speaker 6: sustainable issues, all to help businesses and companies kind of 499 00:25:23,760 --> 00:25:26,120 Speaker 6: learn how they can transition as we move to net 500 00:25:26,240 --> 00:25:28,639 Speaker 6: zero at some point. And today we're going to take 501 00:25:28,640 --> 00:25:31,520 Speaker 6: a look at offshore wind here in the US. It's 502 00:25:31,560 --> 00:25:34,440 Speaker 6: been a real nightmare, particularly here on the East Coast. 503 00:25:34,520 --> 00:25:36,960 Speaker 6: In some ways it makes sense, big ocean, lots of wind. 504 00:25:37,000 --> 00:25:39,639 Speaker 6: Stick a turbine in there, boom you have renewable power. 505 00:25:40,000 --> 00:25:42,359 Speaker 6: The issue, though, is many of the issue has been 506 00:25:42,480 --> 00:25:45,600 Speaker 6: in pricing. The contracts that were signed didn't account for 507 00:25:45,680 --> 00:25:47,560 Speaker 6: the massive amount of inflation that we've seen in the 508 00:25:47,600 --> 00:25:49,359 Speaker 6: last couple of years, and a lot of projects have 509 00:25:49,480 --> 00:25:52,800 Speaker 6: then been canceled. So the question really is what happens now, 510 00:25:52,880 --> 00:25:56,520 Speaker 6: particularly as inflation comes down. Oliver metcalf is head of 511 00:25:56,600 --> 00:25:59,040 Speaker 6: Wind research at BNF and he joins US now in 512 00:25:59,080 --> 00:26:02,080 Speaker 6: the Interactive Brokers studio. Ali, thanks for joining me, appreciate 513 00:26:02,320 --> 00:26:04,760 Speaker 6: thanks for having me on. So I just sort of 514 00:26:04,800 --> 00:26:08,240 Speaker 6: set up with the problem was where are we now 515 00:26:08,480 --> 00:26:08,720 Speaker 6: with that? 516 00:26:10,240 --> 00:26:12,520 Speaker 7: Well, it's been a difficult last twelve months for the 517 00:26:12,640 --> 00:26:15,800 Speaker 7: US off your wind industry. We saw around nine gigawatts 518 00:26:15,920 --> 00:26:18,800 Speaker 7: of off take contracts, so contracts for the generation of 519 00:26:18,840 --> 00:26:21,680 Speaker 7: these projects get canceled. That's around a third of the 520 00:26:21,800 --> 00:26:24,159 Speaker 7: contracts that were signed in total for the US off 521 00:26:24,240 --> 00:26:26,879 Speaker 7: your Wind pipeline. You mentioned there it was because the 522 00:26:26,960 --> 00:26:30,320 Speaker 7: high inflation, high interest rates have really hit the technology 523 00:26:30,359 --> 00:26:34,480 Speaker 7: as well. So it's a really capitally intensive technology and 524 00:26:34,680 --> 00:26:37,040 Speaker 7: so a higher cost of financing hits off your Wind 525 00:26:37,160 --> 00:26:41,160 Speaker 7: especially hard compared with other technologies. We're beginning to see 526 00:26:41,160 --> 00:26:43,920 Speaker 7: a bit of a turning of the fortunes. So we're 527 00:26:43,960 --> 00:26:47,200 Speaker 7: seeing the first couple of commercial scale off your wind 528 00:26:47,240 --> 00:26:49,520 Speaker 7: projects start to come online in the US. One has 529 00:26:49,520 --> 00:26:51,960 Speaker 7: already come online off the coast of New York, and 530 00:26:52,040 --> 00:26:55,080 Speaker 7: one that will feed Parento Massachusetts is under construction at 531 00:26:55,080 --> 00:26:58,120 Speaker 7: the moment. So some good stories beginning. And we're also 532 00:26:58,200 --> 00:27:01,679 Speaker 7: seeing states willing to adjust this obvioslete mechanisms to account 533 00:27:01,720 --> 00:27:04,040 Speaker 7: for some of the pain that projects have been feeling recently. 534 00:27:04,520 --> 00:27:08,680 Speaker 7: So offer developers more protection in the contracts they off take, 535 00:27:08,720 --> 00:27:11,760 Speaker 7: contracts they're offering, and just simply higher prices that these 536 00:27:11,840 --> 00:27:13,720 Speaker 7: these developers need to make their return. 537 00:27:14,200 --> 00:27:16,879 Speaker 1: So talk to us about just wind research. How is 538 00:27:16,960 --> 00:27:21,040 Speaker 1: wind I'm sorry, wind power? How is that from an 539 00:27:21,040 --> 00:27:25,800 Speaker 1: efficiency perspective versus solar and versus other stuff that's out there. 540 00:27:25,880 --> 00:27:27,880 Speaker 1: How competitors is wind. 541 00:27:28,520 --> 00:27:30,880 Speaker 7: So you get kind of higher productivity from a wind 542 00:27:30,920 --> 00:27:35,200 Speaker 7: turbine compared with a solar panel and that and that's 543 00:27:35,200 --> 00:27:38,280 Speaker 7: even more productive offshore, and so offshore wind you have 544 00:27:38,400 --> 00:27:41,960 Speaker 7: more consistent, more consistent wind speeds, stronger winds as well. 545 00:27:42,480 --> 00:27:44,840 Speaker 7: So that means kind of if you imagine a wind 546 00:27:44,880 --> 00:27:47,159 Speaker 7: turbine operating one hundred percent of the time, that's kind 547 00:27:47,160 --> 00:27:50,600 Speaker 7: of the theoretical maximum. You can get between forty to 548 00:27:50,720 --> 00:27:54,960 Speaker 7: sixty percent of that generation typically on a wind project. 549 00:27:55,440 --> 00:27:58,000 Speaker 7: Now that sixty percent isn't too far off the kind 550 00:27:58,040 --> 00:28:01,800 Speaker 7: of percentage we could see from a kind of conventional generator, 551 00:28:02,080 --> 00:28:03,359 Speaker 7: a gas or a cold plant. 552 00:28:03,840 --> 00:28:06,119 Speaker 6: Oh really, what about like nuclear? It's a nuclear a 553 00:28:06,200 --> 00:28:06,800 Speaker 6: lot better than that. 554 00:28:07,160 --> 00:28:09,200 Speaker 7: Nuclear is much harder to ramp up and down, and 555 00:28:09,320 --> 00:28:12,080 Speaker 7: so they tend to operate completely as base loads. So 556 00:28:12,160 --> 00:28:15,080 Speaker 7: you get really high what we call capacity factors for nuclear. 557 00:28:15,160 --> 00:28:17,080 Speaker 7: So it's operating almost all the time if it's if 558 00:28:17,080 --> 00:28:17,840 Speaker 7: it's part of the mix. 559 00:28:18,080 --> 00:28:20,720 Speaker 6: So you mentioned so part of the issue is the 560 00:28:21,040 --> 00:28:24,240 Speaker 6: off take contract. So basically, if I'm a developer, you know, 561 00:28:24,400 --> 00:28:26,440 Speaker 6: Paul goes and says, okay, I'm gonna buy this win 562 00:28:26,520 --> 00:28:28,080 Speaker 6: from you for this amount of time. He's going to 563 00:28:28,119 --> 00:28:29,959 Speaker 6: pay me this, which gives me clarity on the how 564 00:28:30,000 --> 00:28:32,240 Speaker 6: I can go and invest that money. But my costs 565 00:28:32,280 --> 00:28:35,119 Speaker 6: go up and I'm kind of left naked at that point. 566 00:28:35,760 --> 00:28:38,880 Speaker 6: How is that being resolved? You mentioned subsidies, but like 567 00:28:39,160 --> 00:28:42,080 Speaker 6: what else? Because that gap is very unpredictable. And I 568 00:28:42,120 --> 00:28:45,880 Speaker 6: remember talking to Siemens North America ahead about that and 569 00:28:45,920 --> 00:28:48,200 Speaker 6: they're like, we took on all the commodity risk and 570 00:28:48,240 --> 00:28:51,320 Speaker 6: they're trying to change that now because they're not commodity traders. 571 00:28:51,040 --> 00:28:51,960 Speaker 3: But like, how do you do that? 572 00:28:52,480 --> 00:28:52,600 Speaker 4: Well? 573 00:28:52,680 --> 00:28:56,280 Speaker 7: Yeah, that is that unpredictability that hit developers especially hard. 574 00:28:56,840 --> 00:28:59,600 Speaker 7: So in the previous contracts, there's ones I was talking 575 00:28:59,600 --> 00:29:02,760 Speaker 7: about the got canceled. There was very little adjustment in 576 00:29:02,840 --> 00:29:05,760 Speaker 7: the contract price to account for moving commodity prices to 577 00:29:05,800 --> 00:29:08,400 Speaker 7: account for inflation. So that's the kind of thing that 578 00:29:08,480 --> 00:29:11,600 Speaker 7: states are building into these contracts now to kind of 579 00:29:11,640 --> 00:29:14,400 Speaker 7: better share the risk between a state which is buying 580 00:29:14,440 --> 00:29:18,320 Speaker 7: the power and the developer that's building the project. So 581 00:29:18,520 --> 00:29:22,400 Speaker 7: we're seeing kind of these prices getting index to CPI 582 00:29:22,600 --> 00:29:26,280 Speaker 7: for example, to certain kind of producer price indexes and 583 00:29:26,360 --> 00:29:29,640 Speaker 7: to certain commodity prices to make sometimes a one time 584 00:29:29,680 --> 00:29:31,560 Speaker 7: adjustment from when you agree to that price to when 585 00:29:31,600 --> 00:29:36,560 Speaker 7: you're actually securing finance, and sometimes you see that adjustments 586 00:29:36,600 --> 00:29:38,600 Speaker 7: accounting for inflation right throughout the life. 587 00:29:38,440 --> 00:29:39,920 Speaker 3: Of the project. That's interesting. 588 00:29:40,200 --> 00:29:41,800 Speaker 7: That's the kind of structure we see in lots of 589 00:29:41,880 --> 00:29:44,400 Speaker 7: other countries that have managed to build large scale off 590 00:29:44,480 --> 00:29:48,200 Speaker 7: your wind projects globally, and so yeah, from the off 591 00:29:48,240 --> 00:29:51,080 Speaker 7: your wind industry's perspective, it's good to see that happening 592 00:29:51,120 --> 00:29:51,880 Speaker 7: in the US as well. 593 00:29:52,280 --> 00:29:54,800 Speaker 1: Talk to us about you mentioned the project off the 594 00:29:54,840 --> 00:29:57,360 Speaker 1: coast of New York. Talk to us about the economics. 595 00:29:57,400 --> 00:29:59,920 Speaker 1: How much does it cost to build that thing? Hoop 596 00:30:00,080 --> 00:30:02,720 Speaker 1: hate for it, and just the economics. 597 00:30:03,720 --> 00:30:07,120 Speaker 7: So that is a project called South Fork. It was 598 00:30:07,240 --> 00:30:11,000 Speaker 7: the kind of the first commercial scale offshore wind project 599 00:30:11,040 --> 00:30:14,720 Speaker 7: in the US that was significantly more expensive than a 600 00:30:14,800 --> 00:30:19,160 Speaker 7: project we expect to see getting installed today. That's partly 601 00:30:19,240 --> 00:30:21,560 Speaker 7: because it was it was almost like a proof of concept. 602 00:30:21,680 --> 00:30:24,840 Speaker 7: So up until then, there are only seven operational offshore 603 00:30:24,880 --> 00:30:27,080 Speaker 7: wind turbines off the coast of the US so far. 604 00:30:27,720 --> 00:30:30,040 Speaker 7: So this is the first kind of larger scale project 605 00:30:30,720 --> 00:30:34,400 Speaker 7: for one of the newer projects you're probably looking between 606 00:30:34,440 --> 00:30:36,959 Speaker 7: two point eight to three billion dollars for a one 607 00:30:37,000 --> 00:30:39,480 Speaker 7: gigawap project, which is a really big off your wind firm, 608 00:30:40,240 --> 00:30:42,680 Speaker 7: almost ten times the size of that early kind of 609 00:30:42,720 --> 00:30:45,600 Speaker 7: commercial scale project that just came off the coast of 610 00:30:45,840 --> 00:30:49,640 Speaker 7: New York. So these are a really sizeable infrastructure investments. 611 00:30:49,720 --> 00:30:54,360 Speaker 6: Yeah, what part is the hardest? Because it seems to 612 00:30:54,440 --> 00:30:58,200 Speaker 6: me that you know, moving the energy from offshore to 613 00:30:58,440 --> 00:31:01,160 Speaker 6: the grid on land, like you kind of like build 614 00:31:01,200 --> 00:31:03,880 Speaker 6: a transmission line for that, Like that seems really hard 615 00:31:03,920 --> 00:31:07,480 Speaker 6: and dangerous. And then I also hear of the transmission 616 00:31:07,600 --> 00:31:10,560 Speaker 6: plug shortages, so basically the thing you need to actually 617 00:31:10,760 --> 00:31:13,640 Speaker 6: plug that wind into the grid, there's a shortage of that, 618 00:31:14,000 --> 00:31:15,240 Speaker 6: and then you've got to build it. And there's all 619 00:31:15,240 --> 00:31:17,920 Speaker 6: the raw material costs that come at actually building the turbine. 620 00:31:18,160 --> 00:31:20,240 Speaker 6: Where's the biggest price increases? 621 00:31:21,720 --> 00:31:24,560 Speaker 7: Well, I mean we saw a lot of price increases 622 00:31:24,600 --> 00:31:27,720 Speaker 7: across the board over the last couple of years. Actually, 623 00:31:27,720 --> 00:31:29,280 Speaker 7: when you look at a lot of commodity prices that 624 00:31:29,320 --> 00:31:33,200 Speaker 7: are important for manufacturing of wind turbines, cables, that kind 625 00:31:33,200 --> 00:31:34,960 Speaker 7: of thing, a lot of those raw material costs have 626 00:31:35,040 --> 00:31:38,000 Speaker 7: come down. What we've seen is turbine prices have remained 627 00:31:38,000 --> 00:31:42,080 Speaker 7: stubbornly high. Wind turbine makers were hit just as hard 628 00:31:42,160 --> 00:31:45,640 Speaker 7: by rising costs, rising inflation, and many of them were 629 00:31:45,680 --> 00:31:49,160 Speaker 7: having to deliver on contracts said signed at cheaper rates 630 00:31:49,560 --> 00:31:52,080 Speaker 7: in this higher priced environment. So that means many of 631 00:31:52,280 --> 00:31:54,480 Speaker 7: the kind of major wind turbine makers have suffered a 632 00:31:54,520 --> 00:31:57,160 Speaker 7: lot over the last couple of years, and so they're 633 00:31:57,240 --> 00:32:00,440 Speaker 7: maintaining higher prices to kind of have a bit of 634 00:32:00,480 --> 00:32:04,040 Speaker 7: a buffer on their margin, trying to regain kind of 635 00:32:04,200 --> 00:32:07,480 Speaker 7: stronger margins. But that means that developers are left paying 636 00:32:07,600 --> 00:32:09,800 Speaker 7: higher prices for the turbines despite the fact that some 637 00:32:09,920 --> 00:32:11,680 Speaker 7: of these input costs have started coming down. 638 00:32:12,000 --> 00:32:15,640 Speaker 1: Who makes these big tribune things in the ocean, So. 639 00:32:15,920 --> 00:32:21,040 Speaker 7: That's companies like Vestas Seamen's Energy. Ge is a big 640 00:32:21,200 --> 00:32:28,640 Speaker 7: US player and so those I recently spun out. I 641 00:32:28,680 --> 00:32:31,000 Speaker 7: mean so also it is one of the one of 642 00:32:31,040 --> 00:32:33,840 Speaker 7: the companies that builds builds the project, so one of 643 00:32:33,880 --> 00:32:36,480 Speaker 7: the biggest project developers globally. But there'll be the guys 644 00:32:36,520 --> 00:32:39,520 Speaker 7: putting in the orders with your likes of Vestas Gemen. 645 00:32:40,760 --> 00:32:42,959 Speaker 1: I mean, how do you build these things? I mean, 646 00:32:43,000 --> 00:32:43,959 Speaker 1: how do you install them? 647 00:32:45,000 --> 00:32:47,040 Speaker 3: Difficulty difficult. It's tough. 648 00:32:47,360 --> 00:32:49,880 Speaker 1: Build them on land, ship them out there, then just 649 00:32:50,240 --> 00:32:52,320 Speaker 1: plug them in the sand. I mean, how does this work? 650 00:32:52,600 --> 00:32:55,160 Speaker 7: So most of what's getting built at the moment is 651 00:32:55,200 --> 00:32:57,320 Speaker 7: bottom fixed off your wind. So you go out there, 652 00:32:57,600 --> 00:33:00,080 Speaker 7: you build a foundation that's fixed to the seabed, and 653 00:33:00,120 --> 00:33:01,720 Speaker 7: then you come out and you build the turbine on 654 00:33:01,760 --> 00:33:03,640 Speaker 7: top of that. So you build up the tower and 655 00:33:03,720 --> 00:33:06,760 Speaker 7: then component by component kind of build the big fan. 656 00:33:06,720 --> 00:33:08,720 Speaker 3: You can see at the top, I know. 657 00:33:09,240 --> 00:33:11,640 Speaker 6: And then also how do you then that question is 658 00:33:11,720 --> 00:33:14,840 Speaker 6: like if something happens and it gets broken, like how 659 00:33:14,880 --> 00:33:16,480 Speaker 6: do you fix it? Like what's it like when you 660 00:33:16,600 --> 00:33:18,640 Speaker 6: go off shore? I mean, what happens when one of 661 00:33:18,680 --> 00:33:21,560 Speaker 6: these things dies? Just like what's the shelf life of 662 00:33:21,640 --> 00:33:23,280 Speaker 6: a turbine? And how do you recycle it? 663 00:33:23,320 --> 00:33:24,120 Speaker 5: I don't, we haven't. 664 00:33:24,160 --> 00:33:25,080 Speaker 3: We don't know that yet. 665 00:33:25,280 --> 00:33:28,120 Speaker 7: Yeah, well, well going to your question on what happens 666 00:33:28,120 --> 00:33:30,520 Speaker 7: when it goes wrong or how you construct it. You 667 00:33:30,640 --> 00:33:33,400 Speaker 7: need really specialized vessels to build these things. So they 668 00:33:33,440 --> 00:33:35,920 Speaker 7: call them jack up vessels. So their vessels that kind 669 00:33:35,920 --> 00:33:39,560 Speaker 7: of have legs that they they extend down into the seabed. 670 00:33:40,200 --> 00:33:42,680 Speaker 7: Jacks up the vessels, So it's sitting kind of above 671 00:33:42,760 --> 00:33:45,160 Speaker 7: the water, so you've got a solid platform by which 672 00:33:45,200 --> 00:33:47,280 Speaker 7: to install the components, or if something goes wrong, to 673 00:33:47,920 --> 00:33:49,920 Speaker 7: send it out there, take off one of the components 674 00:33:49,960 --> 00:33:53,080 Speaker 7: and replace it with a fixed one. But these are 675 00:33:53,120 --> 00:33:55,520 Speaker 7: really specialized vessels. They cost a lot of money to build. 676 00:33:55,720 --> 00:33:58,280 Speaker 7: Our estimates around three hundred to five hundred million dollars, 677 00:33:59,120 --> 00:34:01,040 Speaker 7: and there's a shortage of these things globally at the 678 00:34:01,040 --> 00:34:04,960 Speaker 7: moment to kind of specialized vessels to install the foundations 679 00:34:05,000 --> 00:34:07,520 Speaker 7: and then and then the turbines. So if you're a developer, 680 00:34:07,560 --> 00:34:10,360 Speaker 7: you're struggling to find those slots where you can secure vessels. 681 00:34:11,040 --> 00:34:13,680 Speaker 7: And if something goes wrong on a recently installed project 682 00:34:13,719 --> 00:34:16,759 Speaker 7: with one of these big, big new turbines, then you 683 00:34:16,880 --> 00:34:19,200 Speaker 7: might struggle to get a vessel to come in and 684 00:34:19,280 --> 00:34:20,600 Speaker 7: do that, do that replacement work. 685 00:34:20,840 --> 00:34:23,399 Speaker 1: Oh cool, Yeah, I mean those engineer people, I don't 686 00:34:23,480 --> 00:34:24,400 Speaker 1: understand them. They're different. 687 00:34:24,440 --> 00:34:26,560 Speaker 6: I mean, it's amazing. Yeah, that's amazing, and we think 688 00:34:26,560 --> 00:34:29,680 Speaker 6: it's all such an easy fix and it's most definitely not. Ali. 689 00:34:29,719 --> 00:34:31,840 Speaker 6: Thanks a lot, Ali, Markalf he's joining us head of 690 00:34:31,920 --> 00:34:35,399 Speaker 6: win research over at you know those super interesting Thank 691 00:34:35,440 --> 00:34:35,920 Speaker 6: you so much. 692 00:34:36,280 --> 00:34:40,879 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apples, Boda Pie, 693 00:34:41,000 --> 00:34:44,640 Speaker 2: and anywhere else you'll get your podcast. Listen live each weekday, 694 00:34:44,800 --> 00:34:47,759 Speaker 2: ten am to noon Eastern on Bloomberg dot Com, the 695 00:34:47,880 --> 00:34:51,080 Speaker 2: Ihart Radio app, tune In, and the Bloomberg Business app. 696 00:34:51,200 --> 00:34:54,200 Speaker 2: You can also watch us live every weekday on YouTube 697 00:34:54,480 --> 00:34:56,280 Speaker 2: and always on the Bloomberg drminal