1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:08,560 --> 00:00:12,480 Speaker 2: The Stock Movers report, your roundup of companies making moves 3 00:00:12,480 --> 00:00:15,920 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,880 --> 00:00:19,720 Speaker 3: I'm Carol Messer along with Emily Graffeo. Let's get to 5 00:00:19,840 --> 00:00:22,040 Speaker 3: some stacks on the move on this Monday. Bloomberg News 6 00:00:22,040 --> 00:00:25,640 Speaker 3: Managing editor from Bloomberg Markets Live Blog, Christina Kino is 7 00:00:25,720 --> 00:00:29,920 Speaker 3: in the house. There were some stacks moving even though 8 00:00:29,920 --> 00:00:32,720 Speaker 3: there was like general malaise in the trade. Where shall 9 00:00:32,720 --> 00:00:33,040 Speaker 3: we begin. 10 00:00:33,280 --> 00:00:35,839 Speaker 1: Yeah, well, let's talk about PayPal, because just because it's 11 00:00:35,840 --> 00:00:37,280 Speaker 1: a snow day, it doesn't mean that m and a 12 00:00:37,400 --> 00:00:41,240 Speaker 1: Monday has to stop. And it is very much attracting 13 00:00:41,240 --> 00:00:44,080 Speaker 1: Emina interests and as a result, those share a secer 14 00:00:44,200 --> 00:00:47,880 Speaker 1: pypl are up more than five percent, nearly six percent 15 00:00:48,000 --> 00:00:51,040 Speaker 1: actually as of the clothes and so the details are 16 00:00:51,159 --> 00:00:54,760 Speaker 1: that the company is attracting takeover interest from potential buyers. 17 00:00:54,800 --> 00:00:58,960 Speaker 1: It has fielded meetings with several banks regarding this. At 18 00:00:59,040 --> 00:01:01,960 Speaker 1: least one large is looking at the whole company, while 19 00:01:02,000 --> 00:01:05,679 Speaker 1: some other suitors are only interested in a certain PayPal assets. 20 00:01:05,680 --> 00:01:08,959 Speaker 1: So this is all according to Bloomber sources who have 21 00:01:10,200 --> 00:01:13,399 Speaker 1: divulged some of those information. And you know this is 22 00:01:13,440 --> 00:01:16,360 Speaker 1: all because PayPal has lost about half of its value 23 00:01:16,360 --> 00:01:18,119 Speaker 1: over the last twelve months. It is currently training at 24 00:01:18,240 --> 00:01:21,480 Speaker 1: forty dollars sixty nine cents a share versus seventy five 25 00:01:21,520 --> 00:01:23,840 Speaker 1: dollars just over a year ago. And so it makes 26 00:01:23,880 --> 00:01:26,640 Speaker 1: a lot of sense. It's attracting so much. I mean 27 00:01:26,760 --> 00:01:34,080 Speaker 1: a lot of challenge is probably related to payments competition, right, yeah, 28 00:01:34,120 --> 00:01:37,000 Speaker 1: because I mean a lot of a bank's right, like 29 00:01:37,080 --> 00:01:39,920 Speaker 1: are diving into debt space in addition to kind of 30 00:01:39,920 --> 00:01:44,120 Speaker 1: more traditional competitor like venmo Zell all that stuff. 31 00:01:44,160 --> 00:01:47,200 Speaker 4: So customers so many different choices, yeah, alternative ways to 32 00:01:47,240 --> 00:01:47,880 Speaker 4: pay for things. 33 00:01:47,960 --> 00:01:51,040 Speaker 3: Too many choices, yeah, yeah, too many choices. All right, 34 00:01:51,480 --> 00:01:53,720 Speaker 3: let's go to AMEX. There's a great story, right that 35 00:01:53,760 --> 00:01:55,160 Speaker 3: we've been all talking about this research. 36 00:01:55,160 --> 00:01:58,160 Speaker 1: Absolutely, yes, and that is exactly why we have the 37 00:01:58,280 --> 00:02:02,920 Speaker 1: American Express shares dicker a XP down seven percent as 38 00:02:02,960 --> 00:02:05,520 Speaker 1: of the clothes and yes, as you mentioned, Carol, all 39 00:02:05,520 --> 00:02:09,880 Speaker 1: because of the Satrini research reports. Again interesting because they're 40 00:02:09,919 --> 00:02:13,079 Speaker 1: outlining a scenario. It's not a prediction, but it's still 41 00:02:13,080 --> 00:02:16,200 Speaker 1: a struck nerve in markets. And so American Express one 42 00:02:16,200 --> 00:02:19,360 Speaker 1: of the companies named in that report as companies that 43 00:02:19,400 --> 00:02:23,120 Speaker 1: are very vulnerable to a disruption that will could be 44 00:02:23,200 --> 00:02:25,880 Speaker 1: caused by AI if the scenario comes to light, and 45 00:02:26,000 --> 00:02:29,520 Speaker 1: you know, some of the hypothetical scenarios that Satrini research 46 00:02:29,639 --> 00:02:33,600 Speaker 1: looked at, really seeing credit card companies like Amis as 47 00:02:33,600 --> 00:02:36,960 Speaker 1: well as food delivery services among the companies that are 48 00:02:37,080 --> 00:02:40,120 Speaker 1: facing trouble. And yeah, we've seen now those shares down 49 00:02:40,200 --> 00:02:42,840 Speaker 1: by the most in ten months as a results for that. 50 00:02:43,000 --> 00:02:45,200 Speaker 4: A lot of it having to do with what you said, 51 00:02:45,280 --> 00:02:49,440 Speaker 4: AI disruption, Like so many of these companies are built 52 00:02:49,520 --> 00:02:52,880 Speaker 4: on what they lay out as human intelligence, and they 53 00:02:52,919 --> 00:02:57,200 Speaker 4: talk about how human intelligence will really deteriorate as AI 54 00:02:57,280 --> 00:03:00,800 Speaker 4: gets more powerful. Yeah, depending on if you side with 55 00:03:00,880 --> 00:03:03,679 Speaker 4: the robots of peoples and to depend on whether that's 56 00:03:03,680 --> 00:03:04,200 Speaker 4: good or not. 57 00:03:04,400 --> 00:03:05,000 Speaker 2: I don't know. 58 00:03:05,200 --> 00:03:06,760 Speaker 3: It's like I feel like so many people have said 59 00:03:06,760 --> 00:03:10,000 Speaker 3: about it's how we will work and interact and use 60 00:03:10,280 --> 00:03:13,680 Speaker 3: AI in our jobs and how we do things, and 61 00:03:13,760 --> 00:03:16,960 Speaker 3: so I don't know, is it just like taking an 62 00:03:16,960 --> 00:03:19,360 Speaker 3: app to another level? You know what I mean? Like 63 00:03:19,400 --> 00:03:20,840 Speaker 3: we now there are things that I used to pick 64 00:03:20,880 --> 00:03:23,360 Speaker 3: up a phone or somebody about that I just do 65 00:03:23,600 --> 00:03:24,720 Speaker 3: automatically on an app. 66 00:03:24,760 --> 00:03:26,480 Speaker 1: So I don't know, but there's something about the human 67 00:03:26,520 --> 00:03:30,280 Speaker 1: interaction still, right, particularly in service oriented industries like credit cards. 68 00:03:30,320 --> 00:03:32,720 Speaker 1: I actually would much rather speak to a human about 69 00:03:32,720 --> 00:03:35,800 Speaker 1: my credit card bill than a robot. 70 00:03:36,120 --> 00:03:37,839 Speaker 3: So there you go, or chap out of some sort 71 00:03:38,320 --> 00:03:39,880 Speaker 3: one thing we all like to do. I think it's 72 00:03:39,880 --> 00:03:42,080 Speaker 3: safe to say the pizza Dominoes. 73 00:03:42,480 --> 00:03:45,120 Speaker 1: We got to talk about pizza today and domino specifically, 74 00:03:45,160 --> 00:03:49,040 Speaker 1: so tiggr dps. Those shares are four percent at the close, 75 00:03:49,120 --> 00:03:51,600 Speaker 1: and that is because they did report a large unexpected 76 00:03:52,080 --> 00:03:57,280 Speaker 1: rise in same store sales. Consumers definitely being drawn to 77 00:03:57,480 --> 00:04:01,320 Speaker 1: the pizza chain's budget friendly pies. And yeah, we've seen 78 00:04:01,360 --> 00:04:03,480 Speaker 1: an increase of three point seven percent in the fourth 79 00:04:03,560 --> 00:04:06,880 Speaker 1: quarter for their same store sales and that's well above 80 00:04:06,920 --> 00:04:09,960 Speaker 1: the three point three percent that was projected by analysts. 81 00:04:10,000 --> 00:04:13,960 Speaker 1: And of course we're also seeing an optimistic projection from 82 00:04:13,960 --> 00:04:16,560 Speaker 1: them for that same metric. They're looking at about a 83 00:04:16,640 --> 00:04:19,240 Speaker 1: three percent rise for that for a full year in 84 00:04:19,440 --> 00:04:22,320 Speaker 1: twenty twenty six. And yeah, a lot of that because 85 00:04:22,320 --> 00:04:26,359 Speaker 1: of this best deal ever pizza promotion. So what's the 86 00:04:26,400 --> 00:04:30,440 Speaker 1: verdict on Dominoes then, Carol, Yeah, it's miniwhiles as you've 87 00:04:30,640 --> 00:04:32,280 Speaker 1: taken used to love. 88 00:04:32,600 --> 00:04:36,080 Speaker 3: I think dominoes and so I think occasionally or we'd 89 00:04:36,120 --> 00:04:37,000 Speaker 3: be on the road. 90 00:04:37,800 --> 00:04:40,000 Speaker 4: It's in its own world. I'm not saying it's like 91 00:04:40,080 --> 00:04:42,359 Speaker 4: the same as in New York or kinetics. 92 00:04:44,400 --> 00:04:45,719 Speaker 3: Is it a call fired oven? 93 00:04:46,400 --> 00:04:47,000 Speaker 2: I don't think. 94 00:04:47,320 --> 00:04:48,920 Speaker 4: Is it even an oven. I think it is they 95 00:04:48,920 --> 00:04:52,400 Speaker 4: have a cheap pies and stuffed crust driving the sales 96 00:04:52,440 --> 00:04:53,240 Speaker 4: AREO yeah. 97 00:04:54,480 --> 00:04:58,520 Speaker 2: The Stock Mover's Report from Bloomberg Radio. 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