1 00:00:00,120 --> 00:00:10,880 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, the Stock Movers podcast. 2 00:00:12,119 --> 00:00:14,880 Speaker 1: This is your roundup of companies making news on Wall 3 00:00:14,920 --> 00:00:18,640 Speaker 1: Street and beyond, harnessing the power of Bloomberg data. 4 00:00:19,880 --> 00:00:22,160 Speaker 2: Right now, let's take a look at some stocks they're 5 00:00:22,160 --> 00:00:26,160 Speaker 2: on the move today. We're joined by Bloomberg's and Bloomberg's 6 00:00:26,160 --> 00:00:28,920 Speaker 2: Surveillance is Lisa Matteo. Lisa, Well, just when. 7 00:00:28,760 --> 00:00:31,360 Speaker 3: You thought your smart watch couldn't get any more tech savvy, right, 8 00:00:31,440 --> 00:00:34,080 Speaker 3: or maybe any more confusing, now you have Apple coming 9 00:00:34,080 --> 00:00:36,800 Speaker 3: out Bloomberg's Markerman saying that they're moving into the AI 10 00:00:37,040 --> 00:00:41,080 Speaker 3: wearables market. So basically they're adding these cameras and visual 11 00:00:41,120 --> 00:00:44,080 Speaker 3: intelligence features to the smart watch. So the idea is 12 00:00:44,080 --> 00:00:46,760 Speaker 3: that you learn more about the world around you as 13 00:00:46,760 --> 00:00:49,000 Speaker 3: you walk around. So for example, okay, so if you're 14 00:00:49,040 --> 00:00:52,080 Speaker 3: walking around and you see, oh, look at this beautiful flower, 15 00:00:52,159 --> 00:00:54,560 Speaker 3: I wonder what it is. You take your little smartwatch 16 00:00:54,600 --> 00:00:57,120 Speaker 3: right and you hold down the camera button, you take 17 00:00:57,160 --> 00:01:00,760 Speaker 3: a picture of something there like that flower, and then 18 00:01:01,080 --> 00:01:04,000 Speaker 3: chat chept or Google search will tell you exactly what 19 00:01:04,120 --> 00:01:06,160 Speaker 3: it is. So it's there to kind of make your 20 00:01:06,200 --> 00:01:09,360 Speaker 3: life a little bit easier. The only problem is that 21 00:01:09,480 --> 00:01:12,520 Speaker 3: only works with the iPhone sixteen, So you have to have. 22 00:01:12,440 --> 00:01:15,399 Speaker 2: That, lady, I've upgraded, upgraded, I have not. 23 00:01:16,440 --> 00:01:18,600 Speaker 3: I do not cutting edge, but it could get a 24 00:01:18,600 --> 00:01:20,320 Speaker 3: little bit of bigger boost because you have the release 25 00:01:20,360 --> 00:01:22,959 Speaker 3: of iOS eighteen point four next month. So my basic 26 00:01:23,000 --> 00:01:27,000 Speaker 3: feeling is we're not going to know what's going to 27 00:01:27,080 --> 00:01:28,160 Speaker 3: win in AI. 28 00:01:29,000 --> 00:01:30,479 Speaker 2: That doesn't sound like it's going to win. 29 00:01:30,800 --> 00:01:31,280 Speaker 1: It's tough. 30 00:01:31,280 --> 00:01:34,080 Speaker 3: It kind of you think about it like it the 31 00:01:34,120 --> 00:01:36,200 Speaker 3: glasses right that you were, that you look and you 32 00:01:36,240 --> 00:01:38,080 Speaker 3: see and it can tell you different things. It's worked 33 00:01:38,080 --> 00:01:40,320 Speaker 3: out kind of like you know the watch you take up, baby. 34 00:01:42,120 --> 00:01:43,119 Speaker 2: I don't know next. 35 00:01:43,600 --> 00:01:47,560 Speaker 3: Okay, we have more new surrounding the overpriced cost of AI. 36 00:01:47,680 --> 00:01:50,800 Speaker 3: You have Jackmaw backed and group. It's built AI models 37 00:01:50,800 --> 00:01:55,600 Speaker 3: that cost twenty percent less using Chinese made chips. It's 38 00:01:55,600 --> 00:01:58,160 Speaker 3: produced similar results to those from video. So this is 39 00:01:58,160 --> 00:02:00,320 Speaker 3: the whole thing. The chips are coming from sources, they're 40 00:02:00,360 --> 00:02:04,520 Speaker 3: saying domestic ships including Ali, Baba Group, Huawei Technologies to 41 00:02:04,640 --> 00:02:07,080 Speaker 3: train them. But in video is still in the picture. 42 00:02:07,120 --> 00:02:08,919 Speaker 3: So in Nvidia is totally not out of the picture. 43 00:02:08,960 --> 00:02:12,000 Speaker 3: It's still using AI for development, but it's now relying 44 00:02:12,040 --> 00:02:15,600 Speaker 3: mostly on these alternatives like advanced micro devices and Chinese 45 00:02:15,600 --> 00:02:18,200 Speaker 3: ships for the latest models. But it's just been this 46 00:02:18,360 --> 00:02:20,840 Speaker 3: race we've been talking about and hearing about between Chinese 47 00:02:20,840 --> 00:02:24,000 Speaker 3: and US companies over the price. Remember deep Seek that 48 00:02:24,080 --> 00:02:26,920 Speaker 3: really sparked things as to the cost of Meta for 49 00:02:27,000 --> 00:02:27,560 Speaker 3: three days. 50 00:02:27,639 --> 00:02:30,720 Speaker 2: Yes, the very mental it's still out there, but it's 51 00:02:30,720 --> 00:02:32,480 Speaker 2: still I think what's interesting about the story is Jack 52 00:02:32,560 --> 00:02:35,120 Speaker 2: Ma was starting to raise his profile a little bit. 53 00:02:35,160 --> 00:02:37,800 Speaker 2: He has been underground for probably four or five years. 54 00:02:38,320 --> 00:02:40,360 Speaker 2: He has put his placed by the Chinese government. Now 55 00:02:40,360 --> 00:02:43,040 Speaker 2: we're starting to see him more here more Ali Baba 56 00:02:43,120 --> 00:02:46,519 Speaker 2: stock is up sixty six yero percent this year of 57 00:02:46,680 --> 00:02:48,840 Speaker 2: eighty seven percent over the trailing twelve months, trying to 58 00:02:48,840 --> 00:02:51,639 Speaker 2: claw back some of that value that was just destroyed 59 00:02:51,639 --> 00:02:52,880 Speaker 2: by the Chinese government back. 60 00:02:55,400 --> 00:02:57,839 Speaker 3: Yes, okay, we're talking about Wall Streets, one of their 61 00:02:57,919 --> 00:03:02,840 Speaker 3: oldest data and analytics providers done on Bradstreet. Private equity 62 00:03:02,840 --> 00:03:05,320 Speaker 3: firm clear like Capital Group. It's agreed to acquire them. 63 00:03:05,360 --> 00:03:07,239 Speaker 3: It's a deal at values a company at four point 64 00:03:07,320 --> 00:03:10,720 Speaker 3: one billion dollars. But it's actually the second time that 65 00:03:10,800 --> 00:03:14,799 Speaker 3: Dune Bradstreet has been taken private in several years. It's 66 00:03:14,840 --> 00:03:16,520 Speaker 3: still not you know, a done deal, there's still a 67 00:03:16,560 --> 00:03:19,440 Speaker 3: thirty day ghost shop period where they can be open 68 00:03:19,480 --> 00:03:22,639 Speaker 3: to other rival offers. Because you had companies like Veritas 69 00:03:22,680 --> 00:03:26,520 Speaker 3: Capital Fund Management. They've expressed interest in them. But dunembass 70 00:03:26,520 --> 00:03:29,400 Speaker 3: Street and market value roughing three point nine billion dollars 71 00:03:29,440 --> 00:03:31,880 Speaker 3: at close of trading on Friday. Not sure how much 72 00:03:31,919 --> 00:03:34,120 Speaker 3: that compares to back in the day when works. 73 00:03:34,720 --> 00:03:37,600 Speaker 2: It's financial data and it is not a growth business 74 00:03:37,640 --> 00:03:39,920 Speaker 2: for them. But what it is is tom is a 75 00:03:40,120 --> 00:03:42,600 Speaker 2: very steady cash flow business. So if you're private equity, 76 00:03:42,640 --> 00:03:46,680 Speaker 2: you can lever it up and generate some equity. Yeah, 77 00:03:46,680 --> 00:03:48,440 Speaker 2: this is and this is again this is the second 78 00:03:48,560 --> 00:03:50,520 Speaker 2: round of private ownership. Here you go. 79 00:03:50,600 --> 00:03:52,240 Speaker 3: What I find an interesting tid But is that for 80 00:03:52,600 --> 00:03:54,800 Speaker 3: US presidents actually worked for the company. I didn't know that, 81 00:03:54,840 --> 00:03:59,640 Speaker 3: Abraham Lincoln. You listen, that's Grant Grover Cleveland, William mckinery company. 82 00:03:59,680 --> 00:04:02,080 Speaker 2: So that's old company's been around a while, correct? 83 00:04:02,200 --> 00:04:02,440 Speaker 3: Correct? 84 00:04:02,760 --> 00:04:05,080 Speaker 2: Was that when we were kids it was iconic, But 85 00:04:05,880 --> 00:04:09,000 Speaker 2: most of those iconics have slipped away or they've been 86 00:04:09,040 --> 00:04:11,720 Speaker 2: acquired by bigger data companies. But here this shows you. 87 00:04:11,800 --> 00:04:14,840 Speaker 2: I think the value of data and you want you 88 00:04:14,920 --> 00:04:17,960 Speaker 2: lay on the technology, whether it be AI or other technology, 89 00:04:18,000 --> 00:04:19,279 Speaker 2: mix at that data even. 90 00:04:19,160 --> 00:04:24,479 Speaker 1: More that the Stock Movers podcast from Bloomberg Radio. Check 91 00:04:24,560 --> 00:04:27,080 Speaker 1: back with us throughout the day for the latest roundup 92 00:04:27,120 --> 00:04:29,960 Speaker 1: of companies making news on Wall Street and for the 93 00:04:30,040 --> 00:04:34,440 Speaker 1: latest market moving headlines. Listen to Bloomberg Radio Live, catch 94 00:04:34,480 --> 00:04:37,600 Speaker 1: us on YouTube, Bloomberg dot com, and on Applecarplay and 95 00:04:37,600 --> 00:04:40,039 Speaker 1: Android Auto with the Bloomberg Business app.