1 00:00:02,520 --> 00:00:10,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, the Stock Movers podcast. 2 00:00:12,080 --> 00:00:14,840 Speaker 1: This is your roundup of companies making news on Wall 3 00:00:14,840 --> 00:00:18,960 Speaker 1: Street and beyond, harnessing the power of Bloomberg Data. 4 00:00:19,480 --> 00:00:22,440 Speaker 2: So it Psycho, look right now at some stocks on 5 00:00:22,480 --> 00:00:27,640 Speaker 2: the move today. We're joined by Bloomberg's Lisa Manteo. Lisa, 6 00:00:27,640 --> 00:00:28,600 Speaker 2: what are you looking at that? All? Right? 7 00:00:28,640 --> 00:00:31,320 Speaker 3: So we've been talking a lot about big investments in tech, right, 8 00:00:31,360 --> 00:00:33,879 Speaker 3: So in Vidia in the spotlight for that big time. 9 00:00:33,960 --> 00:00:35,639 Speaker 3: It shares kind of been all over the map. It's 10 00:00:35,640 --> 00:00:37,880 Speaker 3: been up, then down, down as much as one percent. 11 00:00:38,360 --> 00:00:41,080 Speaker 3: So here's the gist of its CEO Jensen Wong. He 12 00:00:41,120 --> 00:00:42,879 Speaker 3: told the Financial Times that the company is going to 13 00:00:42,880 --> 00:00:46,200 Speaker 3: spend quote several hundred billion dollars. They're going to produce 14 00:00:46,240 --> 00:00:49,239 Speaker 3: these US made chips electronics over the next four years. 15 00:00:49,440 --> 00:00:51,840 Speaker 3: So here's the thing. The latest chips and Nvidia powered 16 00:00:51,880 --> 00:00:54,480 Speaker 3: service for data can now be produced at US based 17 00:00:54,520 --> 00:00:58,240 Speaker 3: factories that are operated by TSMC and fox Con. But 18 00:00:58,360 --> 00:01:00,560 Speaker 3: as you know, and Vidia had its you know conference 19 00:01:00,600 --> 00:01:03,160 Speaker 3: this week, so Jens and Wong said that the company 20 00:01:03,240 --> 00:01:06,760 Speaker 3: ultimately plans to shift manufacturing on shore. So that's the 21 00:01:06,760 --> 00:01:09,760 Speaker 3: whole focus of it's shifting where the work is on shore, 22 00:01:10,720 --> 00:01:12,640 Speaker 3: and that's why those shares have been like all over 23 00:01:12,640 --> 00:01:12,960 Speaker 3: the map. 24 00:01:13,160 --> 00:01:14,880 Speaker 2: I mean all over the map on the draw down 25 00:01:15,000 --> 00:01:19,000 Speaker 2: right now, pull Sweden's negative twenty one percent, but they're 26 00:01:19,080 --> 00:01:21,520 Speaker 2: up forty two percent in the last twelve months. I mean, 27 00:01:21,520 --> 00:01:24,960 Speaker 2: I know, you know, is a drawdown is gloom? What's 28 00:01:25,080 --> 00:01:27,840 Speaker 2: changed for Nvidia lease? I mean the answer is, I'm 29 00:01:27,840 --> 00:01:29,480 Speaker 2: not sure much has changed for Nvidia. 30 00:01:29,760 --> 00:01:32,160 Speaker 3: Yeah, not much has changed, I mean the share. But 31 00:01:32,240 --> 00:01:35,440 Speaker 3: what's interesting is that the shares in TSMC, other Nvidia 32 00:01:35,480 --> 00:01:38,440 Speaker 3: suppliers like sk Henis I think it is in South Korea, 33 00:01:39,040 --> 00:01:41,280 Speaker 3: They're they've been all over the map too because of 34 00:01:41,319 --> 00:01:42,839 Speaker 3: this report. So it's affecting other. 35 00:01:42,800 --> 00:01:44,360 Speaker 4: Well you think about it, I mean, not just in 36 00:01:44,400 --> 00:01:46,440 Speaker 4: the stock market in general, not just tech stocks or 37 00:01:46,480 --> 00:01:49,800 Speaker 4: not just chip stocks. AI has been the story for 38 00:01:49,840 --> 00:01:52,200 Speaker 4: the stock market, and all we talked about was AI. 39 00:01:52,480 --> 00:01:54,800 Speaker 4: Seemed like every company, whether they're a fast food company 40 00:01:54,840 --> 00:01:58,720 Speaker 4: or pet food company, how any's going to transform their business. Yes, yeah, 41 00:01:58,720 --> 00:02:00,720 Speaker 4: I'm not sure if the market's lost the little of that. 42 00:02:00,800 --> 00:02:01,960 Speaker 4: It feels like, as. 43 00:02:01,840 --> 00:02:08,919 Speaker 2: I've said, folks, I'm using AI more. It's scary, but I'm. 44 00:02:08,880 --> 00:02:11,160 Speaker 4: Actually using it or are you trusting it? 45 00:02:11,280 --> 00:02:14,160 Speaker 2: That's the question exactly what's next? 46 00:02:14,320 --> 00:02:17,200 Speaker 3: All right? A little bit of a setback for Tesla 47 00:02:17,240 --> 00:02:19,960 Speaker 3: as shares were down as much as one percent issue 48 00:02:20,000 --> 00:02:22,920 Speaker 3: a recall the cyber truck it produced and sold in 49 00:02:22,960 --> 00:02:26,760 Speaker 3: the first fifteen months. Those are the ones they're focusing on. Apparently, 50 00:02:26,840 --> 00:02:29,360 Speaker 3: this is a steel trim along the outside of the vehicle. 51 00:02:29,639 --> 00:02:32,200 Speaker 3: It can come loose and it can cause this road hazard. 52 00:02:32,400 --> 00:02:35,000 Speaker 3: The adhesive is the issue. It doesn't quite stick to 53 00:02:35,080 --> 00:02:37,760 Speaker 3: it just right. How big of a number is it. 54 00:02:37,880 --> 00:02:40,080 Speaker 3: Tesla says it's about one percent of like, let's say 55 00:02:40,080 --> 00:02:42,519 Speaker 3: the forty six thousand pickups that's calling back. So that's 56 00:02:42,600 --> 00:02:45,920 Speaker 3: that's how big this recall is. But Tesla said it's 57 00:02:45,919 --> 00:02:48,360 Speaker 3: going to foot the bill to replace those things. It 58 00:02:48,440 --> 00:02:51,200 Speaker 3: launched back in November twenty twenty three, and it actually 59 00:02:51,280 --> 00:02:55,040 Speaker 3: recalled the cyber truck six times with it really that year. 60 00:02:55,080 --> 00:02:57,200 Speaker 3: The launch Actually one of those was actually similar to 61 00:02:57,240 --> 00:02:58,240 Speaker 3: this US. 62 00:02:58,480 --> 00:03:00,239 Speaker 2: Okay, there was one next to me in to have 63 00:03:00,240 --> 00:03:02,400 Speaker 2: ANUE the other day, and it was it was black 64 00:03:02,440 --> 00:03:04,839 Speaker 2: and it was almost fearful. I mean, I mean, yeah, 65 00:03:05,320 --> 00:03:07,840 Speaker 2: are there many were you know? The climbs, you know. 66 00:03:08,080 --> 00:03:11,119 Speaker 4: And so when you see one, it's it's a yeah, 67 00:03:11,120 --> 00:03:13,320 Speaker 4: it's kind of shocking. I'm good at the stock herely sin. 68 00:03:13,280 --> 00:03:16,000 Speaker 4: It's not forty one percent this year. I mean that's 69 00:03:16,040 --> 00:03:18,840 Speaker 4: not nothing. Even if you're Elon Musk, I would think 70 00:03:18,880 --> 00:03:20,320 Speaker 4: that would get your attention. I don't know. 71 00:03:20,360 --> 00:03:21,840 Speaker 3: I guess the big thing is just because it's meant 72 00:03:21,880 --> 00:03:23,480 Speaker 3: is it's rugged tough like. 73 00:03:23,680 --> 00:03:26,520 Speaker 2: Yeah, but it's only eighty thousand, right, I mean I'm 74 00:03:26,560 --> 00:03:27,600 Speaker 2: sure it goes up from there. 75 00:03:27,639 --> 00:03:30,200 Speaker 3: One hundred and one hundred, yeah, hundred, yeah, yeah, yeah. 76 00:03:30,160 --> 00:03:32,840 Speaker 2: All right, six recalls. 77 00:03:32,400 --> 00:03:33,639 Speaker 3: Six recalls. Since it's long. 78 00:03:33,919 --> 00:03:36,600 Speaker 4: Kevin Tiny he used to cover the autos for Bloomberg Intelligence. 79 00:03:36,920 --> 00:03:39,200 Speaker 4: He used to say, Okay, being a technology company is 80 00:03:39,240 --> 00:03:45,200 Speaker 4: one thing. Bending steel? Is it entirely film business in here? 81 00:03:45,320 --> 00:03:48,080 Speaker 3: Okay? Discount real tailor five below. Not sure if you've 82 00:03:48,120 --> 00:03:50,520 Speaker 3: ever been in the store I have. Okay, you get 83 00:03:50,600 --> 00:03:53,480 Speaker 3: cheap things, you know, toys, candy, knick knacks, kids love it. 84 00:03:53,520 --> 00:03:56,520 Speaker 3: You get stuff for under five dollars. So the year 85 00:03:56,560 --> 00:03:59,280 Speaker 3: has been up as much as thirteen percent. Fourth car 86 00:03:59,360 --> 00:04:02,240 Speaker 3: results beat right. Full year expectations were a little bit 87 00:04:02,240 --> 00:04:02,760 Speaker 3: more mixed. 88 00:04:03,000 --> 00:04:03,440 Speaker 4: Here's the thing. 89 00:04:03,440 --> 00:04:05,680 Speaker 3: They said they're going to have to raise some prices 90 00:04:05,720 --> 00:04:09,240 Speaker 3: over the pinch from tariffs, and analysts are worried about that, 91 00:04:09,280 --> 00:04:13,640 Speaker 3: the long term impact from tariffs. So you had Morgan Stanley, Barclays, 92 00:04:13,680 --> 00:04:17,320 Speaker 3: they cut their targets. What's interesting is that five below 93 00:04:17,440 --> 00:04:20,359 Speaker 3: is actually opening more stores, one hundred and fifty more stores. 94 00:04:20,480 --> 00:04:24,760 Speaker 3: Because we've heard stories like Dollar General, Big Lots closing locations. Yeah, 95 00:04:24,880 --> 00:04:26,520 Speaker 3: so this is kind of a different turns. 96 00:04:26,400 --> 00:04:32,440 Speaker 1: It the Stock Movers podcast from Bloomberg Radio. Check back 97 00:04:32,480 --> 00:04:34,880 Speaker 1: with us throughout the day for the latest roundup of 98 00:04:34,960 --> 00:04:38,120 Speaker 1: companies making news on Wall Street and for the latest 99 00:04:38,160 --> 00:04:42,320 Speaker 1: market moving headlines. Listen to Bloomberg Radio Live, catch us 100 00:04:42,360 --> 00:04:45,719 Speaker 1: on YouTube, Bloomberg dot com, and on Applecarplay and Android 101 00:04:45,760 --> 00:04:47,760 Speaker 1: Auto with the Bloomberg Business app.