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 --> 00:00:16,240 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:17,200 --> 00:00:20,439 Speaker 3: I'm Tim Stanebeck along with Carol Masser. Let's take a 5 00:00:20,440 --> 00:00:24,119 Speaker 3: look at some stocks on the move today. We're joined 6 00:00:24,120 --> 00:00:27,880 Speaker 3: by Bloomberg News earning specialists Rachel Whoa she joins us 7 00:00:27,880 --> 00:00:31,639 Speaker 3: here in the studio, A and D a late mover 8 00:00:31,880 --> 00:00:32,720 Speaker 3: after hours. 9 00:00:32,960 --> 00:00:35,839 Speaker 4: Yeah, I think no one expected it, especially with Nvidio 10 00:00:36,360 --> 00:00:39,919 Speaker 4: kind of taking the spotlight earlier today. An AMD, you know, 11 00:00:40,400 --> 00:00:44,920 Speaker 4: clearly one of Nvidia's biggest A chips rivals. So I 12 00:00:44,920 --> 00:00:46,640 Speaker 4: think that the kind of the stock move kind of 13 00:00:46,680 --> 00:00:49,920 Speaker 4: came after the company says it expects annual revenue growth 14 00:00:49,960 --> 00:00:52,600 Speaker 4: to be more than thirty five percent on average over 15 00:00:52,640 --> 00:00:56,200 Speaker 4: the next three to five years. It's CEO Lisas who 16 00:00:56,280 --> 00:00:58,840 Speaker 4: was like speaking at a company event today, And I 17 00:00:58,880 --> 00:01:01,080 Speaker 4: think the numbers likely appe these fears that there's been 18 00:01:01,080 --> 00:01:03,640 Speaker 4: a lot of hype and froth over AI right now, 19 00:01:04,000 --> 00:01:06,520 Speaker 4: and you know, all the huge vending on new AI 20 00:01:06,560 --> 00:01:10,720 Speaker 4: computing systems can be sustained. But I guess those numbers, 21 00:01:11,240 --> 00:01:13,160 Speaker 4: you know, are making investors kind of happy. 22 00:01:13,440 --> 00:01:15,680 Speaker 1: Yeah, we definitely are seeing a movement of appum as 23 00:01:15,720 --> 00:01:19,200 Speaker 1: four percent here and I think some of the overall 24 00:01:19,360 --> 00:01:21,840 Speaker 1: data growth and you know, it just seems like that 25 00:01:21,920 --> 00:01:24,920 Speaker 1: AI trade like giving some support in a big way. 26 00:01:25,720 --> 00:01:28,039 Speaker 1: Fed x fd X is the ticker. What'd you find 27 00:01:28,040 --> 00:01:29,600 Speaker 1: out there? What did we see today? 28 00:01:29,720 --> 00:01:30,000 Speaker 2: Yeah? 29 00:01:30,040 --> 00:01:33,559 Speaker 4: So it's CFO was also speaking today and he said 30 00:01:33,600 --> 00:01:37,280 Speaker 4: that now it expects profits this quarter to improve from 31 00:01:37,280 --> 00:01:40,000 Speaker 4: a year ago. I think this kind of contrasting what 32 00:01:40,080 --> 00:01:43,920 Speaker 4: investors initially expected that it would be slightly worse than 33 00:01:44,000 --> 00:01:47,120 Speaker 4: last year. You know, they were concerned about we holiday season, 34 00:01:47,240 --> 00:01:50,240 Speaker 4: that tot taiffs would affect costs. And then also the 35 00:01:50,280 --> 00:01:52,600 Speaker 4: company will have to ground about four percent of its 36 00:01:52,600 --> 00:01:56,880 Speaker 4: fleet after the fatal ups crash last week. So clearly 37 00:01:56,880 --> 00:01:59,320 Speaker 4: the comments today are relieved to investors as well. 38 00:02:00,280 --> 00:02:02,280 Speaker 3: All right, Well back to AI a little bit. In 39 00:02:02,360 --> 00:02:04,320 Speaker 3: core Weave some big moves from Corewave today. 40 00:02:04,400 --> 00:02:06,600 Speaker 4: Yeah, so you know, it looks like it tumbled today 41 00:02:06,920 --> 00:02:10,080 Speaker 4: after it cut its annual sales forecast. I think this 42 00:02:10,160 --> 00:02:12,880 Speaker 4: kind of came after the company said that data centered 43 00:02:12,919 --> 00:02:16,120 Speaker 4: delay will hurt its fourth quarter results. You know, and 44 00:02:16,160 --> 00:02:19,320 Speaker 4: a company has been racing to expand its data centered network. 45 00:02:19,400 --> 00:02:21,320 Speaker 4: But I think this is a setback that kind of 46 00:02:21,320 --> 00:02:25,280 Speaker 4: shows the growing pains of scaling fast. With CEO also, 47 00:02:25,480 --> 00:02:28,040 Speaker 4: you know on Bloomberg TV earlier today, and you know, 48 00:02:28,120 --> 00:02:31,040 Speaker 4: he said that now it's trying to work to diversify 49 00:02:31,120 --> 00:02:34,280 Speaker 4: its suppliers to avoid kind of similar issues down the road. 50 00:02:35,440 --> 00:02:37,480 Speaker 4: And you know, we've seen the results that despite the delay, 51 00:02:37,520 --> 00:02:40,359 Speaker 4: you know, it's revenue backlog has nearly doubled from a 52 00:02:40,440 --> 00:02:43,280 Speaker 4: year ago, which you know, I think some investors are 53 00:02:43,320 --> 00:02:46,919 Speaker 4: he is assigned that demand for AI computing power remains strong. 54 00:02:47,240 --> 00:02:47,400 Speaker 2: Well. 55 00:02:47,440 --> 00:02:49,480 Speaker 1: Listen, we talked with our Man Deep saying about this 56 00:02:49,600 --> 00:02:53,360 Speaker 1: and Caroline Hide b Tech on BTV who had she 57 00:02:53,440 --> 00:02:55,639 Speaker 1: along with that Leedler spoke to the core Weave CEO, 58 00:02:55,760 --> 00:02:59,240 Speaker 1: but Man Deep saying specifically, right, the backlog is there 59 00:02:59,360 --> 00:03:03,000 Speaker 1: these companies that need the services of core Weave. I 60 00:03:03,040 --> 00:03:06,839 Speaker 1: mean they make these commitments, right, these contracts that they 61 00:03:07,280 --> 00:03:10,640 Speaker 1: need access in order for all the compute if you will, 62 00:03:10,680 --> 00:03:15,200 Speaker 1: that's required by a AI, and so the demand continues 63 00:03:15,240 --> 00:03:15,720 Speaker 1: to be there. 64 00:03:15,880 --> 00:03:18,040 Speaker 3: Yeah, I mean I just wonder, and this is a 65 00:03:18,120 --> 00:03:21,280 Speaker 3: question that we can talk about with Manteep of Blueberg Intelligence. 66 00:03:21,320 --> 00:03:24,280 Speaker 3: Man deep sing But what are the other companies that 67 00:03:24,320 --> 00:03:28,840 Speaker 3: could spring up, not in Corey's place, but could supplement 68 00:03:28,880 --> 00:03:31,080 Speaker 3: what Core We've offers. Went through a few of them today. 69 00:03:31,240 --> 00:03:33,440 Speaker 3: If Core We've does face these challenges. Yeah, and all 70 00:03:33,480 --> 00:03:35,840 Speaker 3: these companies are facing the challenges well. And we've gone. 71 00:03:35,680 --> 00:03:39,000 Speaker 1: From the hyperscalers right, and then you've got the neo 72 00:03:39,160 --> 00:03:41,440 Speaker 1: This are the traditional clouds, the big guys, the neo 73 00:03:41,520 --> 00:03:44,360 Speaker 1: cloud and it just keeps kind of broadening out, but 74 00:03:44,800 --> 00:03:46,680 Speaker 1: the demand continues to accelerate. 75 00:03:47,160 --> 00:03:49,960 Speaker 4: We time for one more hopefully sure, Okay, I mean 76 00:03:50,000 --> 00:03:52,400 Speaker 4: this is something close I guess close to home geographic y. 77 00:03:53,320 --> 00:03:55,840 Speaker 4: This is like a you know as a Solva's Asian 78 00:03:55,880 --> 00:03:58,840 Speaker 4: tech company that space in Singapore. It's known for its 79 00:03:58,880 --> 00:04:02,920 Speaker 4: gaming company. It's it's a digital finance but all ice 80 00:04:02,960 --> 00:04:06,680 Speaker 4: this quarter one shopping platforms Shoppy. A lot of people 81 00:04:06,760 --> 00:04:08,640 Speaker 4: in the region are kind of still buying things on 82 00:04:08,680 --> 00:04:11,520 Speaker 4: the apps, you know, but Shoppy is facing more and 83 00:04:11,560 --> 00:04:16,080 Speaker 4: more competition from TikTok Shop, Ali Baba's Lozada PDDs team 84 00:04:16,680 --> 00:04:19,320 Speaker 4: and you know, everyone's trying to get customers through you know, 85 00:04:19,360 --> 00:04:23,359 Speaker 4: promotions and discounts, cheap deliveries. So this has eaten into 86 00:04:23,400 --> 00:04:26,480 Speaker 4: profits and sees shares were down I Know after its 87 00:04:26,520 --> 00:04:28,080 Speaker 4: earnings missed estimates. 88 00:04:30,200 --> 00:04:34,200 Speaker 2: This stock Movers report from Bloomberg Radio. 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