1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:18,560 Speaker 1: Eastern on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,640 --> 00:00:21,920 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:21,960 --> 00:00:23,480 Speaker 1: us live on YouTube. 6 00:00:24,120 --> 00:00:26,960 Speaker 2: Looking at the shares of Apple fifty two week, Hi, 7 00:00:27,360 --> 00:00:30,640 Speaker 2: there's a little bit better feeling I think about iPhone 8 00:00:30,760 --> 00:00:33,880 Speaker 2: sales in particular. It's kind of helping this story here today. 9 00:00:33,880 --> 00:00:36,560 Speaker 2: Mandy Sink joined us. He's our senior technology channels for 10 00:00:36,560 --> 00:00:39,479 Speaker 2: Bloomberg Intelligence. Mandy, what's going on with Apple here? A 11 00:00:39,479 --> 00:00:41,519 Speaker 2: little bit of a rerating? Is it just trying to 12 00:00:41,600 --> 00:00:44,279 Speaker 2: catch up? Is there a different view that's forming out 13 00:00:44,280 --> 00:00:45,200 Speaker 2: there on these shares? 14 00:00:45,680 --> 00:00:48,640 Speaker 3: I mean I would call it a positive data point 15 00:00:48,960 --> 00:00:53,720 Speaker 3: after the new iPhone launch and look, you know everyone 16 00:00:53,920 --> 00:00:59,200 Speaker 3: was quite negative about Apple's ability to grow unit shipments. 17 00:00:59,360 --> 00:01:03,720 Speaker 3: What they're suggesting here is people who were waiting for 18 00:01:03,760 --> 00:01:07,919 Speaker 3: a new device are upgrading, and especially China is always 19 00:01:07,959 --> 00:01:11,399 Speaker 3: a focus given you know what is going on with Nvideo. 20 00:01:11,640 --> 00:01:15,640 Speaker 3: So Apple being a hardware company, you know, being able 21 00:01:15,680 --> 00:01:18,639 Speaker 3: to sell into China is always a positive and looks 22 00:01:18,680 --> 00:01:21,559 Speaker 3: like there are positive data points over there. 23 00:01:21,440 --> 00:01:26,440 Speaker 4: As well, so many what's the attraction to this one? 24 00:01:26,440 --> 00:01:28,000 Speaker 4: I mean, I'm sitting here with the iPhone. I don't 25 00:01:28,000 --> 00:01:29,679 Speaker 4: even know what this is. I don't even know what 26 00:01:29,760 --> 00:01:33,560 Speaker 4: model that's not about. But what's the attraction to this 27 00:01:33,640 --> 00:01:35,199 Speaker 4: new phone? Why is it doing so much better? 28 00:01:35,720 --> 00:01:38,880 Speaker 3: Well, so that's why I want to put it in context. 29 00:01:38,880 --> 00:01:42,280 Speaker 3: It's not as if, you know, at least from my 30 00:01:42,400 --> 00:01:45,839 Speaker 3: vantage point, we shouldn't be thinking about a big upgrade 31 00:01:45,880 --> 00:01:51,360 Speaker 3: cycle here. This is normal refresh here. With that being said, 32 00:01:51,400 --> 00:01:54,600 Speaker 3: you know, they launch a couple of news cus there 33 00:01:54,720 --> 00:01:59,000 Speaker 3: is a lighter iPhone this time around, so the attractiveness 34 00:01:59,240 --> 00:02:02,240 Speaker 3: is just people. People who want to upgrade for a 35 00:02:02,280 --> 00:02:05,760 Speaker 3: new battery, for a faster processor, probably for a lighter 36 00:02:05,800 --> 00:02:09,120 Speaker 3: from factor are doing that. But to my mind, the 37 00:02:09,120 --> 00:02:13,560 Speaker 3: missing ingredient here is a large anglid model running natively 38 00:02:14,040 --> 00:02:17,280 Speaker 3: on device, and that is where Android still is a 39 00:02:17,320 --> 00:02:21,080 Speaker 3: better experience when it comes to, you know, the LLM 40 00:02:21,280 --> 00:02:24,360 Speaker 3: side of things, and Apple has to step up either 41 00:02:24,840 --> 00:02:27,400 Speaker 3: through their own efforts or through a tie up with 42 00:02:27,520 --> 00:02:30,440 Speaker 3: one of these frontier lms, but there is no doubt 43 00:02:30,520 --> 00:02:33,240 Speaker 3: that they need more to do when it comes to 44 00:02:33,440 --> 00:02:34,400 Speaker 3: a generative AI. 45 00:02:36,760 --> 00:02:41,040 Speaker 2: Is there any sense Mandeep that Coopertino shares your sense 46 00:02:41,280 --> 00:02:43,320 Speaker 2: of we got to get going now kind of thing. 47 00:02:44,240 --> 00:02:46,320 Speaker 3: I think so. But look, I mean there are two 48 00:02:46,360 --> 00:02:49,560 Speaker 3: ways to go about it. One is you step up 49 00:02:49,600 --> 00:02:53,560 Speaker 3: in terms of your CAPEX investments, the way hyperscalers have done, 50 00:02:53,919 --> 00:02:57,720 Speaker 3: you know, whether it's a Microsoft, Google, or Amazon or Oracle. 51 00:02:58,240 --> 00:03:01,200 Speaker 3: The other is, you know, you take the acquisition route. 52 00:03:01,240 --> 00:03:05,200 Speaker 3: And everyone is sort of thinking, you know, Apple will 53 00:03:05,520 --> 00:03:08,840 Speaker 3: go the acquisition route or maybe partner with someone like 54 00:03:08,919 --> 00:03:12,720 Speaker 3: Google now that that antitrust overhang is behind them. So 55 00:03:13,880 --> 00:03:17,440 Speaker 3: either of those two I think should work because Apple 56 00:03:17,560 --> 00:03:20,840 Speaker 3: still controls a distribution. And look, when it comes to hardware, 57 00:03:20,960 --> 00:03:24,640 Speaker 3: I am excited about an AR glass form factor. I 58 00:03:24,680 --> 00:03:26,720 Speaker 3: think they are working on a chip when it comes 59 00:03:26,720 --> 00:03:30,200 Speaker 3: to these new AR glasses, and there will be relevance 60 00:03:30,240 --> 00:03:33,440 Speaker 3: of AI when it comes to your you know, glasses 61 00:03:33,480 --> 00:03:36,200 Speaker 3: form factors. So from that perspective, there is something to 62 00:03:36,280 --> 00:03:40,080 Speaker 3: look forward to. From a hardware standpoint. They already launched one, 63 00:03:40,480 --> 00:03:45,160 Speaker 3: you know, AirPod Pro three with real time transcription. That's exciting. 64 00:03:45,440 --> 00:03:46,240 Speaker 5: So those are the. 65 00:03:46,240 --> 00:03:48,960 Speaker 3: Kind of features they will be looking to add. But 66 00:03:49,520 --> 00:03:51,800 Speaker 3: I don't think they are going the Capex route in 67 00:03:51,880 --> 00:03:54,240 Speaker 3: terms of you know, one hundred billion dollars in Capex, 68 00:03:54,280 --> 00:03:55,839 Speaker 3: the same way Hyperscalers are doing. 69 00:03:56,720 --> 00:03:59,760 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 70 00:04:03,480 --> 00:04:07,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 71 00:04:07,240 --> 00:04:10,360 Speaker 1: weekdays at ten am, heasterned on Apple, Coarcley, and Android 72 00:04:10,360 --> 00:04:13,640 Speaker 1: Otto with the Bloomberg Business App. Listen on demand wherever 73 00:04:13,720 --> 00:04:16,839 Speaker 1: you get your podcasts, or watch us live on YouTube. 74 00:04:17,600 --> 00:04:20,600 Speaker 2: Let's get to another story here today in the luxury business. 75 00:04:20,680 --> 00:04:22,880 Speaker 2: Here carrying the big company that owns a lot of 76 00:04:22,880 --> 00:04:25,719 Speaker 2: big brands, I think Gucci as well. They're backing away 77 00:04:25,720 --> 00:04:28,040 Speaker 2: from their beauty business. They're selling it to Loreal four 78 00:04:28,040 --> 00:04:30,680 Speaker 2: point seven billion dollars. Let's get a breakdown on what's 79 00:04:30,720 --> 00:04:33,479 Speaker 2: going on there. Andrea Felstad, she's a Bloomberg in opinion. 80 00:04:33,560 --> 00:04:36,760 Speaker 2: Commis Andrew, can you tell us what Caring is doing here? 81 00:04:36,800 --> 00:04:38,600 Speaker 5: What this transaction shows. 82 00:04:39,440 --> 00:04:44,080 Speaker 6: Well, it's being dressed up as a partnership between Caring 83 00:04:44,120 --> 00:04:47,160 Speaker 6: and Loreal, but what it really is is effectively the 84 00:04:47,200 --> 00:04:52,279 Speaker 6: sale of their beauty brands to Loreo. They've got a 85 00:04:52,360 --> 00:04:56,120 Speaker 6: new CEO, Luke to Mayo. He's come in at a 86 00:04:56,160 --> 00:04:59,760 Speaker 6: time when the balance sheet is very stretched. His predecessor, 87 00:05:00,480 --> 00:05:04,159 Speaker 6: who is now chairman, well bought a lot of things, 88 00:05:04,200 --> 00:05:08,880 Speaker 6: including Creed, this very very upmarket perfume business as share 89 00:05:08,960 --> 00:05:13,039 Speaker 6: in Valentino to try to make the group less dependent 90 00:05:13,120 --> 00:05:17,440 Speaker 6: on Gucci. But that really increased debt. At the same time, 91 00:05:17,600 --> 00:05:20,960 Speaker 6: Gucci's really slowed down and they're having to revive it. 92 00:05:21,040 --> 00:05:24,880 Speaker 6: So they're saying it for four billion euros in cash. 93 00:05:25,040 --> 00:05:27,480 Speaker 6: That gets some money in to deal with the debt 94 00:05:27,760 --> 00:05:30,440 Speaker 6: and gives the new CEO a bit more time to 95 00:05:30,480 --> 00:05:31,560 Speaker 6: turn around Gucci. 96 00:05:34,400 --> 00:05:37,080 Speaker 4: Andrew, isn't this a complete turnaround? I mean, didn't the 97 00:05:37,080 --> 00:05:42,360 Speaker 4: company want to bulk up the beauty and cosmetics division exactly? 98 00:05:42,440 --> 00:05:44,640 Speaker 6: I mean they're saying, you know, this is built on 99 00:05:44,680 --> 00:05:47,440 Speaker 6: the potential that they created. I mean, to be fair, 100 00:05:47,520 --> 00:05:49,720 Speaker 6: they bought Creed. They paid a lot for Creed three 101 00:05:49,760 --> 00:05:53,119 Speaker 6: point five billion euros. Try worked out to be about 102 00:05:53,120 --> 00:05:56,080 Speaker 6: fourteen time sales, you know, an awful lot. But what 103 00:05:56,160 --> 00:05:59,440 Speaker 6: they did it had a supply chain. They did that 104 00:05:59,480 --> 00:06:02,120 Speaker 6: as a play perform to build for beauty. And the 105 00:06:02,200 --> 00:06:04,680 Speaker 6: argument is they have been able to do this deal 106 00:06:04,720 --> 00:06:08,080 Speaker 6: because of that platform. That's probably kind of rather generous 107 00:06:08,760 --> 00:06:10,680 Speaker 6: looked at him. I had a big decision to make 108 00:06:10,760 --> 00:06:13,360 Speaker 6: when he got in. He either had to stick with 109 00:06:13,440 --> 00:06:16,800 Speaker 6: beauty and invest in it. But with that day, it's 110 00:06:16,839 --> 00:06:19,600 Speaker 6: gone in awe and the need to reinvigorate Gucci. It's 111 00:06:19,600 --> 00:06:22,719 Speaker 6: got an awful lot more calls on its cash, so 112 00:06:22,760 --> 00:06:25,960 Speaker 6: he just decided beauty wasn't a priority. 113 00:06:28,680 --> 00:06:31,160 Speaker 2: I consider myself a Gucci expert. I read the book, 114 00:06:31,320 --> 00:06:34,680 Speaker 2: I saw the movie. In the movie, yes exactly, so Andrew. 115 00:06:34,839 --> 00:06:37,800 Speaker 2: I mean, it's obviously an iconic brand. What are the 116 00:06:37,839 --> 00:06:40,080 Speaker 2: experts saying that needs to be done? Because it's such 117 00:06:40,080 --> 00:06:41,680 Speaker 2: an important part for caring. 118 00:06:42,520 --> 00:06:44,680 Speaker 6: It is it really is. It would add its peak 119 00:06:44,800 --> 00:06:47,520 Speaker 6: and in sort of twenty eighteen nineteen, around that time, 120 00:06:47,560 --> 00:06:51,320 Speaker 6: it was sixty percent group sales. Now, you know, Kerring 121 00:06:51,600 --> 00:06:54,240 Speaker 6: had an amazing run with Gucci. They put in this 122 00:06:54,360 --> 00:06:59,000 Speaker 6: quite unknown designer, Alessandro mckayley, and the prevailing look has 123 00:06:59,000 --> 00:07:02,560 Speaker 6: been very minimalist, and he came in with these big logos, 124 00:07:03,000 --> 00:07:06,080 Speaker 6: clashing print, granny chek and it was just a bread 125 00:07:06,120 --> 00:07:10,000 Speaker 6: of breath of fresh air and it change prevailing fashion. 126 00:07:10,040 --> 00:07:13,680 Speaker 6: But that was in Stor twenty sixteen, after the pandemic, 127 00:07:13,920 --> 00:07:18,280 Speaker 6: when Obviously, nobody was feeling terribly good soaring inflation. It 128 00:07:18,400 --> 00:07:21,520 Speaker 6: just felt very out of sync with how people were feeling. 129 00:07:22,040 --> 00:07:24,760 Speaker 6: And they tried to turn it round and have a 130 00:07:24,840 --> 00:07:29,239 Speaker 6: much more minimalist look, and it just wasn't Gucci. Gucci 131 00:07:29,560 --> 00:07:32,960 Speaker 6: works best when it's very fashionable, when it's over the top. 132 00:07:33,400 --> 00:07:37,040 Speaker 6: So they brought in Dumna Versalia, who was at Valenciaga, 133 00:07:37,640 --> 00:07:41,920 Speaker 6: and he is trying to, you know, really revive it. 134 00:07:41,920 --> 00:07:44,800 Speaker 6: He's gone back to the Tom four days when it 135 00:07:44,880 --> 00:07:47,160 Speaker 6: was very successful. He's gone back to the Alessandro and 136 00:07:47,360 --> 00:07:50,960 Speaker 6: Kaylee days. He did this crazy film in Fashion Week. 137 00:07:51,000 --> 00:07:54,800 Speaker 6: There was absolutely bonkers, but it got people talking about 138 00:07:54,800 --> 00:07:56,720 Speaker 6: Gucci again. I was in New York a couple of 139 00:07:56,760 --> 00:07:59,480 Speaker 6: weeks ago and I went to the store in Soho 140 00:07:59,560 --> 00:08:02,000 Speaker 6: and there was a big installation of all his things 141 00:08:02,040 --> 00:08:05,920 Speaker 6: and the capsule collection. It's trying to get people interested 142 00:08:05,920 --> 00:08:09,040 Speaker 6: in Gucci again, and he's sort of going back to 143 00:08:09,080 --> 00:08:12,360 Speaker 6: the future to try and revive its magic. Whether it's 144 00:08:12,400 --> 00:08:14,800 Speaker 6: going to work, I'm not sure. I thought he was 145 00:08:14,800 --> 00:08:17,920 Speaker 6: the wrong person to be appointed, but so far he 146 00:08:18,160 --> 00:08:19,840 Speaker 6: seems to be doing all the right things. 147 00:08:22,520 --> 00:08:24,920 Speaker 4: Andrew, can you tell us some of the challenges krig 148 00:08:25,000 --> 00:08:27,240 Speaker 4: has been facing. I mean, there's that slump in Chinese demand, 149 00:08:27,640 --> 00:08:29,920 Speaker 4: higher US tariffs as well, what are they facing. 150 00:08:31,920 --> 00:08:35,319 Speaker 6: So what we what we've got at the moment is 151 00:08:35,520 --> 00:08:38,199 Speaker 6: the one percent of still doing very well. But they're 152 00:08:38,200 --> 00:08:42,280 Speaker 6: not buying Gucci. They're buying Hermes, they're buying Brunello, Cuccinelle, 153 00:08:43,280 --> 00:08:48,000 Speaker 6: Laura Piano. They want these very expensive upmarket things. Now 154 00:08:48,400 --> 00:08:50,600 Speaker 6: the rest of the less rest of the luxury market 155 00:08:50,679 --> 00:08:55,320 Speaker 6: that aspirational customers coming under pressure. And she had a 156 00:08:55,440 --> 00:08:58,920 Speaker 6: lot of those aspirational customers, particularly in the US. So 157 00:08:58,960 --> 00:09:01,920 Speaker 6: you've got the sort of esthetic going out of fashion 158 00:09:01,960 --> 00:09:06,160 Speaker 6: and you've got these aspirational customers coming under pressure. It's 159 00:09:06,240 --> 00:09:09,160 Speaker 6: really had a bit of a perfect storm and it 160 00:09:09,280 --> 00:09:13,080 Speaker 6: needs to really revive Guccini and it had the take 161 00:09:13,080 --> 00:09:16,640 Speaker 6: of Annetta wasn't doing too bad and their designer went 162 00:09:16,720 --> 00:09:19,960 Speaker 6: to Chanel. So you know, every brand is sort of 163 00:09:20,760 --> 00:09:22,160 Speaker 6: you know, got its challenges. 164 00:09:23,120 --> 00:09:23,720 Speaker 5: Stay with us. 165 00:09:23,880 --> 00:09:26,240 Speaker 2: More from Bloomberg Intelligence coming up after this. 166 00:09:30,120 --> 00:09:33,840 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 167 00:09:33,920 --> 00:09:37,280 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Otto 168 00:09:37,400 --> 00:09:40,480 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 169 00:09:40,520 --> 00:09:44,080 Speaker 1: get your podcasts or watch us live on YouTube. 170 00:09:44,760 --> 00:09:47,679 Speaker 2: Talking about AI. That's been a theme for this marketplace 171 00:09:47,679 --> 00:09:51,480 Speaker 2: for it seemingly three years now. Everybody says that AI 172 00:09:51,559 --> 00:09:54,040 Speaker 2: is going to revolutionize their business. Even McDonald's say it's 173 00:09:54,040 --> 00:09:56,120 Speaker 2: going to revolutionize how you go through the drive through. 174 00:09:56,600 --> 00:09:58,520 Speaker 5: I'm like, all right, whatever, just get my order right. 175 00:09:59,480 --> 00:10:01,680 Speaker 2: It's also you here in the financial services business, Patrick 176 00:10:01,760 --> 00:10:06,000 Speaker 2: Daniel Joines is here, vice President Advisor Digital Solutions at 177 00:10:06,040 --> 00:10:09,440 Speaker 2: Commonwealth Financial Network. Patrick, is AI going to replace the 178 00:10:09,440 --> 00:10:10,320 Speaker 2: financial advisor? 179 00:10:11,360 --> 00:10:14,640 Speaker 7: Absolutely not the you know what we're seeing today in 180 00:10:14,720 --> 00:10:17,839 Speaker 7: terms of there's a there's an experimentation and a scale 181 00:10:17,880 --> 00:10:20,199 Speaker 7: that's happening within the AI space in terms of advisors, 182 00:10:20,240 --> 00:10:22,400 Speaker 7: and you know we heard that with the robo advisor 183 00:10:22,520 --> 00:10:24,560 Speaker 7: years ago in terms of will it replace and so 184 00:10:25,360 --> 00:10:27,880 Speaker 7: from an AI capability, absolutely there's going to be an 185 00:10:27,920 --> 00:10:30,280 Speaker 7: elevation of the advisor in terms of what they are 186 00:10:30,320 --> 00:10:31,839 Speaker 7: possible and what they can do in terms of the 187 00:10:31,920 --> 00:10:32,680 Speaker 7: art of the possible. 188 00:10:32,920 --> 00:10:35,720 Speaker 5: But absolutely not. There's going to be a need for empathy, 189 00:10:35,760 --> 00:10:36,320 Speaker 5: there's going to be. 190 00:10:36,320 --> 00:10:40,040 Speaker 7: A need for understanding human behavior, and really from a 191 00:10:40,080 --> 00:10:43,040 Speaker 7: technology perspective, that's going to be very difficult to do. Now. 192 00:10:43,040 --> 00:10:45,080 Speaker 7: With that said, you know, if I were to look 193 00:10:45,080 --> 00:10:48,200 Speaker 7: into the three to five year sort of glass in 194 00:10:48,240 --> 00:10:49,760 Speaker 7: terms of what's going to look like, it's going to 195 00:10:49,800 --> 00:10:52,520 Speaker 7: be very difficult. In terms of how that may look like. 196 00:10:52,559 --> 00:10:55,640 Speaker 7: You might have digital assistance right that are paired up 197 00:10:55,679 --> 00:11:02,040 Speaker 7: with a human advisor that is using hyper personzed information 198 00:11:02,240 --> 00:11:05,960 Speaker 7: and services to help the advisor support those clients, but 199 00:11:06,240 --> 00:11:08,760 Speaker 7: generally speaking, you're not going to see that replaced completely 200 00:11:08,800 --> 00:11:10,960 Speaker 7: in terms of what a financial advisor can provide their clients. 201 00:11:11,120 --> 00:11:15,640 Speaker 8: So the human relationship not dying basically, So how is 202 00:11:15,679 --> 00:11:17,400 Speaker 8: a I then changing the way you manage money? 203 00:11:17,840 --> 00:11:21,480 Speaker 7: So there's just a tremendous opportunity in that space in 204 00:11:21,520 --> 00:11:23,080 Speaker 7: terms of right now, what we've seen over the last 205 00:11:23,120 --> 00:11:25,360 Speaker 7: two to three years in terms of experimentation has been 206 00:11:25,400 --> 00:11:29,839 Speaker 7: around client meetings and note taking any efficiency within the space, 207 00:11:29,880 --> 00:11:32,320 Speaker 7: and so you're seeing advisors freeing up time to focus 208 00:11:32,360 --> 00:11:36,720 Speaker 7: more on financial conversations with their clients or asset management. 209 00:11:36,760 --> 00:11:38,120 Speaker 7: And so what we're going to see in the future 210 00:11:38,559 --> 00:11:40,880 Speaker 7: as this technology evolves, and we're starting to see it already, 211 00:11:41,600 --> 00:11:44,800 Speaker 7: is in the space of doing business modeling or financial 212 00:11:44,800 --> 00:11:48,400 Speaker 7: modeling or looking at it from a model's perspective in 213 00:11:48,480 --> 00:11:50,640 Speaker 7: terms of where I should be putting from a next 214 00:11:50,720 --> 00:11:53,000 Speaker 7: best action perspective. And so we're going to start to 215 00:11:53,000 --> 00:11:55,240 Speaker 7: see a lot of that in terms of informing advisors 216 00:11:55,240 --> 00:11:57,440 Speaker 7: to make sure that they're having those conversations in a 217 00:11:57,480 --> 00:12:01,240 Speaker 7: timely fashion and potentially identifying maybe gaps that if they 218 00:12:01,280 --> 00:12:05,040 Speaker 7: didn't have, say an agent or this digital assistant next 219 00:12:05,080 --> 00:12:07,640 Speaker 7: to them, that they could identify in a timely fashion 220 00:12:07,679 --> 00:12:11,200 Speaker 7: from a tax efficiency perspective, or just from a a 221 00:12:11,520 --> 00:12:14,920 Speaker 7: from a scale perspective, or from an a s allocation perspective. 222 00:12:15,120 --> 00:12:16,840 Speaker 2: You know, when I talked to some of the advisors 223 00:12:16,880 --> 00:12:19,240 Speaker 2: here at a conference like a Commonwealth, they say, you know, 224 00:12:19,280 --> 00:12:22,440 Speaker 2: I really want the platform to kind of free up 225 00:12:22,480 --> 00:12:24,520 Speaker 2: more of my time so I can go out and 226 00:12:24,640 --> 00:12:27,959 Speaker 2: work with my clients, prospect for new clients, really help 227 00:12:28,040 --> 00:12:29,920 Speaker 2: me with the back office, help me with the technology, 228 00:12:29,960 --> 00:12:33,040 Speaker 2: help me with all that. How are you guys integrating 229 00:12:33,080 --> 00:12:35,120 Speaker 2: AI into that part of the platform. 230 00:12:35,160 --> 00:12:36,800 Speaker 5: Yeah, absolutely so where we started. 231 00:12:37,240 --> 00:12:40,320 Speaker 7: So, first off, before we started from an AI implementation 232 00:12:40,400 --> 00:12:44,320 Speaker 7: perspective with our affiliates, there was a there's a risk obviously, 233 00:12:44,400 --> 00:12:46,360 Speaker 7: right from a compliance and a regulatory perspective. 234 00:12:46,400 --> 00:12:48,240 Speaker 5: So years ago we. 235 00:12:48,280 --> 00:12:51,599 Speaker 7: Formed an AI or a JENAI Risk Committee at Commonwealth 236 00:12:51,600 --> 00:12:54,600 Speaker 7: to try to make sure that whatever we provide from 237 00:12:54,600 --> 00:12:57,000 Speaker 7: a support perspective as we move forward within the AI space, 238 00:12:57,040 --> 00:12:58,959 Speaker 7: that we do so in a compliant and make sure 239 00:12:59,000 --> 00:13:01,160 Speaker 7: from a data retention and risk perspective that we take 240 00:13:01,200 --> 00:13:01,560 Speaker 7: care of that. 241 00:13:02,400 --> 00:13:04,640 Speaker 5: As I mentioned earlier two years ago, it was more. 242 00:13:04,559 --> 00:13:09,079 Speaker 7: Around around a curiosity with the technology. I'd say a 243 00:13:09,160 --> 00:13:10,920 Speaker 7: year ago, twelve to sixteen months ago, it was more 244 00:13:10,920 --> 00:13:14,080 Speaker 7: around experimentation and now what we're seeing at Commonwealth. We 245 00:13:14,120 --> 00:13:16,199 Speaker 7: just rolled out an AI meeting tool or a couple 246 00:13:16,240 --> 00:13:19,440 Speaker 7: of them actually earlier this year, and we're seeing now 247 00:13:19,480 --> 00:13:21,719 Speaker 7: at scale and that's where I think you're going to 248 00:13:21,760 --> 00:13:24,560 Speaker 7: start to drive the adoption. So we rolled out a 249 00:13:24,600 --> 00:13:26,920 Speaker 7: new platform. It's a third party platform. From the AI 250 00:13:27,040 --> 00:13:29,640 Speaker 7: meeting perspective, we already have twenty percent adoption on that 251 00:13:29,760 --> 00:13:32,880 Speaker 7: and just folks talking to one another at events like 252 00:13:32,880 --> 00:13:34,760 Speaker 7: this from a networking perspective, we're going to start to 253 00:13:34,800 --> 00:13:38,239 Speaker 7: really see that driven in terms of adoption and acceleration 254 00:13:38,360 --> 00:13:39,080 Speaker 7: within our space. 255 00:13:39,440 --> 00:13:40,160 Speaker 8: Now I see the. 256 00:13:40,160 --> 00:13:41,960 Speaker 4: Excitement coming from you when you talk about you know, 257 00:13:42,040 --> 00:13:45,200 Speaker 4: AI and all that can do. But what concerns you 258 00:13:45,280 --> 00:13:46,800 Speaker 4: when it comes to AI in the space. 259 00:13:46,880 --> 00:13:50,800 Speaker 7: Yeah, there's a lot of things. And honestly, the first 260 00:13:50,840 --> 00:13:54,480 Speaker 7: thing I think about is just deep connections. And I 261 00:13:54,520 --> 00:13:57,520 Speaker 7: think about AI not just generally speaking in terms of 262 00:13:58,000 --> 00:14:00,720 Speaker 7: from a financial management or in our space, but you 263 00:14:00,760 --> 00:14:02,920 Speaker 7: think about and I think about my own personal life 264 00:14:02,960 --> 00:14:05,640 Speaker 7: where I would call my folks, whether it's my dad 265 00:14:05,679 --> 00:14:09,360 Speaker 7: on some advice or I need, you know, help with 266 00:14:09,400 --> 00:14:11,240 Speaker 7: whatever it might be in terms of life. Well, I 267 00:14:11,240 --> 00:14:13,040 Speaker 7: think you're finding a lot now people are just going 268 00:14:13,080 --> 00:14:15,560 Speaker 7: to gen AI or it's a large language models for that. 269 00:14:15,679 --> 00:14:18,640 Speaker 7: And so the face, the face, the deep connections, and 270 00:14:18,679 --> 00:14:20,160 Speaker 7: that's what really our industry. 271 00:14:19,840 --> 00:14:22,880 Speaker 5: Is rooted in. You know that, That's what really. 272 00:14:22,600 --> 00:14:24,920 Speaker 7: Concerns me in terms of how do you balance you know, 273 00:14:25,000 --> 00:14:27,040 Speaker 7: from you know, making sure that the human's still in 274 00:14:27,080 --> 00:14:29,760 Speaker 7: the loop and the technology. And I think there's going 275 00:14:29,840 --> 00:14:30,920 Speaker 7: to be a way to do that. But that's what 276 00:14:31,040 --> 00:14:33,280 Speaker 7: really concerns me. It's the connections, It's the people, it's 277 00:14:33,320 --> 00:14:33,600 Speaker 7: the face. 278 00:14:33,640 --> 00:14:34,000 Speaker 5: The face. 279 00:14:34,080 --> 00:14:36,880 Speaker 8: What's sure some people go to chat GPT for financial advice. 280 00:14:36,960 --> 00:14:38,280 Speaker 8: I mean it's well. 281 00:14:38,400 --> 00:14:40,560 Speaker 7: Eighty percent of the people that are using a large 282 00:14:40,600 --> 00:14:43,400 Speaker 7: language model today have actually used it for financial advice, 283 00:14:43,440 --> 00:14:45,720 Speaker 7: and it's a little bit higher for the younger, the millennials, 284 00:14:45,720 --> 00:14:47,600 Speaker 7: et cetera. It's about an eighty two to eighty three 285 00:14:47,640 --> 00:14:51,120 Speaker 7: percent adoption of people using it for financial advice. And 286 00:14:51,160 --> 00:14:53,680 Speaker 7: so again that's an opportunity for financial advisors to make 287 00:14:53,720 --> 00:14:55,520 Speaker 7: sure that they get in front of that and to 288 00:14:55,600 --> 00:14:57,600 Speaker 7: guide that direction in terms of where they go and 289 00:14:57,600 --> 00:14:58,320 Speaker 7: how they use it. 290 00:14:58,920 --> 00:15:01,640 Speaker 2: My number three off bring his into financial services business. 291 00:15:01,680 --> 00:15:03,080 Speaker 2: He's at the stage of his career where he is 292 00:15:03,120 --> 00:15:06,480 Speaker 2: dialing for dollars, doing all the basic grunt work. But 293 00:15:06,560 --> 00:15:08,880 Speaker 2: he finds it as a challenge that a lot of 294 00:15:08,880 --> 00:15:11,640 Speaker 2: the young people that he prospects come back and say, well, 295 00:15:11,640 --> 00:15:14,160 Speaker 2: I've got chatter GPT, how do you put that in 296 00:15:14,200 --> 00:15:14,680 Speaker 2: your training? 297 00:15:14,880 --> 00:15:15,840 Speaker 8: What's the response to that? 298 00:15:16,160 --> 00:15:18,720 Speaker 7: Yeah, so from a financial advisor in terms of when 299 00:15:18,720 --> 00:15:21,160 Speaker 7: they're having that conversation. Yeah, So it's all about guidance, 300 00:15:21,520 --> 00:15:24,480 Speaker 7: and so you know, there's an opportunity there, I think 301 00:15:24,520 --> 00:15:27,200 Speaker 7: in terms of making sure that you're directing, and that's 302 00:15:27,200 --> 00:15:29,720 Speaker 7: where the value of the advisor comes in, right, and 303 00:15:29,760 --> 00:15:31,560 Speaker 7: so it's trying to get in front of that and 304 00:15:31,600 --> 00:15:36,040 Speaker 7: providing information that's more curated and but also recognizing that 305 00:15:36,080 --> 00:15:38,040 Speaker 7: there's this other and that's been in the industry for 306 00:15:38,120 --> 00:15:40,440 Speaker 7: years in terms of whether it's various websites you can 307 00:15:40,520 --> 00:15:42,640 Speaker 7: go to, et cetera. It's just getting elevated more accessible. 308 00:15:42,640 --> 00:15:44,000 Speaker 7: But I think you just need to make sure that 309 00:15:44,520 --> 00:15:46,920 Speaker 7: you call you know, you sort of you address it 310 00:15:46,920 --> 00:15:48,520 Speaker 7: and then you account for it. 311 00:15:48,600 --> 00:15:51,960 Speaker 8: So and what emerging technology are you keeping an eye on? 312 00:15:52,120 --> 00:15:52,400 Speaker 5: Oh? 313 00:15:52,520 --> 00:15:55,000 Speaker 7: Yeah, So, so for me, from an AI perspective, there's 314 00:15:55,000 --> 00:15:57,640 Speaker 7: a couple of things. One is quantum computing actually, and 315 00:15:57,680 --> 00:16:01,000 Speaker 7: so with quantum computing, you're seeing it's a it's a 316 00:16:01,040 --> 00:16:04,440 Speaker 7: symbiotic relationship actually, so you're seeing AI improve the quantum 317 00:16:04,480 --> 00:16:06,880 Speaker 7: computing in terms of what's capable, and then from a 318 00:16:06,960 --> 00:16:08,640 Speaker 7: quantum computing perspective in terms of the. 319 00:16:08,600 --> 00:16:12,000 Speaker 5: Power and what can be provided. It's elevating the AI. 320 00:16:13,000 --> 00:16:17,720 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 321 00:16:17,880 --> 00:16:21,360 Speaker 1: and anywhere else you get your podcasts. 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