1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,560 --> 00:00:12,440 Speaker 2: The Stock Movers report, your roundup of companies making moves 3 00:00:12,480 --> 00:00:15,880 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,480 --> 00:00:19,200 Speaker 1: I'm Carol Masser along with Tim Stenwick. Let's get to 5 00:00:19,520 --> 00:00:22,120 Speaker 1: those stocks on the move as we speak. And joining 6 00:00:22,200 --> 00:00:25,079 Speaker 1: us right now is Bloomberg News crossuset reporter Isabelle the 7 00:00:26,160 --> 00:00:28,040 Speaker 1: We're going to get to Alphabet in a moment, but 8 00:00:28,160 --> 00:00:29,320 Speaker 1: let's start. 9 00:00:28,920 --> 00:00:30,240 Speaker 3: With the ARM. 10 00:00:30,680 --> 00:00:31,520 Speaker 4: We gut start with ARM. 11 00:00:31,600 --> 00:00:35,199 Speaker 5: Actually we're very spoiled with choices today, so armshars. They 12 00:00:35,200 --> 00:00:39,720 Speaker 5: tumbled in late trading. Actually they're down. Oh now they're unchanged. 13 00:00:40,479 --> 00:00:42,000 Speaker 3: Everything's bouncing around a lot. 14 00:00:42,040 --> 00:00:45,199 Speaker 4: I want to make sure I get this right. No, 15 00:00:45,360 --> 00:00:46,320 Speaker 4: my terminal lag. 16 00:00:47,680 --> 00:00:47,839 Speaker 5: Three. 17 00:00:48,000 --> 00:00:48,600 Speaker 3: Yeah, there is. 18 00:00:48,800 --> 00:00:51,360 Speaker 6: But there was a move higher in the after hours 19 00:00:51,400 --> 00:00:52,159 Speaker 6: to make them like. 20 00:00:52,159 --> 00:00:54,040 Speaker 3: It could have been an individual trade or something. 21 00:00:54,120 --> 00:00:56,160 Speaker 4: But unchanged. Yes, And then but now they're down bad. 22 00:00:56,560 --> 00:00:59,840 Speaker 5: They tumbled because the company reported sales forecasts that disappointed 23 00:00:59,880 --> 00:01:03,080 Speaker 5: and investors who have grown more skeptical of companies that 24 00:01:03,200 --> 00:01:05,440 Speaker 5: are really tight to AI. So anything AI now is 25 00:01:05,520 --> 00:01:07,920 Speaker 5: a little bit scary to some investors. The stock has 26 00:01:08,000 --> 00:01:11,120 Speaker 5: dropped already more than four percent through Wednesday's close. So again, 27 00:01:11,200 --> 00:01:13,920 Speaker 5: this negative reaction reflects just the high bar that investors 28 00:01:14,160 --> 00:01:15,840 Speaker 5: are looking for when it comes to companies in the 29 00:01:15,920 --> 00:01:19,399 Speaker 5: AI space. It's really just this price for perfection theme, 30 00:01:19,480 --> 00:01:22,080 Speaker 5: and ARM has carved out a growing share of spending 31 00:01:22,120 --> 00:01:24,840 Speaker 5: on AI data centers, helping build out traditional strength and 32 00:01:24,880 --> 00:01:28,920 Speaker 5: smartphone technology. But still it's the early stages of capitalizing 33 00:01:28,959 --> 00:01:31,360 Speaker 5: on the AI women. Investors are just wondering, when will 34 00:01:31,400 --> 00:01:31,760 Speaker 5: I get that. 35 00:01:32,000 --> 00:01:34,520 Speaker 3: What everybody says early, early, more to come, more to 36 00:01:34,600 --> 00:01:36,000 Speaker 3: come until it's late. 37 00:01:36,400 --> 00:01:39,840 Speaker 1: My question, which takes us to Alphabet, which has been 38 00:01:39,880 --> 00:01:41,560 Speaker 1: bouncing around in the aftermarket. 39 00:01:41,600 --> 00:01:43,720 Speaker 3: We can get to the trade in just a moment. 40 00:01:43,840 --> 00:01:46,480 Speaker 1: But speaking of the build out and the spend, that 41 00:01:46,680 --> 00:01:48,440 Speaker 1: number blew away the street estimate. 42 00:01:48,680 --> 00:01:51,600 Speaker 5: It definitely blew away the street estimates, and they told 43 00:01:51,680 --> 00:01:55,040 Speaker 5: investors they're planning to spend far more than investors expected 44 00:01:55,080 --> 00:01:57,080 Speaker 5: this year. At the stock is up by two point 45 00:01:57,120 --> 00:02:00,680 Speaker 5: seven percent. They're actually the best performing Magnificent seven stock, 46 00:02:01,040 --> 00:02:02,240 Speaker 5: though it slipped off its peak. 47 00:02:02,320 --> 00:02:04,600 Speaker 4: But look at that Alphabet, Isabeth, but it. 48 00:02:04,760 --> 00:02:07,680 Speaker 6: Was down as you keep it earlier, but you know 49 00:02:07,760 --> 00:02:09,600 Speaker 6: it was moving. That was a knee jerk reaction. 50 00:02:09,800 --> 00:02:12,359 Speaker 7: Now the call when we're talking about this, the call 51 00:02:12,480 --> 00:02:15,720 Speaker 7: is ongoing, so in after hours is always a little 52 00:02:15,840 --> 00:02:17,160 Speaker 7: like you know, that is true, you kind of have 53 00:02:17,200 --> 00:02:17,839 Speaker 7: to wait till the market. 54 00:02:18,080 --> 00:02:18,840 Speaker 3: That's quite a swing. 55 00:02:19,000 --> 00:02:21,000 Speaker 1: You're talking about down seven percent and it up what 56 00:02:21,160 --> 00:02:22,520 Speaker 1: more than Where are we at right now? 57 00:02:23,400 --> 00:02:25,720 Speaker 5: It's up too and a half percent? Yeah, if I'm 58 00:02:25,760 --> 00:02:28,840 Speaker 5: looking at it correct, Yeah, that's right. So the company 59 00:02:28,960 --> 00:02:32,639 Speaker 5: has really quickly improved their Gemini model and integrated it 60 00:02:32,760 --> 00:02:35,359 Speaker 5: throughout its products. I feel like maybe Chat GPT, or 61 00:02:35,360 --> 00:02:38,280 Speaker 5: at least among my circles, still remains the king, but 62 00:02:38,400 --> 00:02:40,200 Speaker 5: people are increasingly liking Gemini. 63 00:02:40,440 --> 00:02:42,000 Speaker 3: Do you you're using other stuff right? 64 00:02:42,120 --> 00:02:42,320 Speaker 6: Yeah? 65 00:02:42,360 --> 00:02:44,440 Speaker 7: So I was like early, not early, but I was 66 00:02:44,560 --> 00:02:47,239 Speaker 7: using Chat GPT. Then I started using Claude. And I 67 00:02:47,280 --> 00:02:48,280 Speaker 7: don't pay for any of them. 68 00:02:48,560 --> 00:02:51,120 Speaker 4: Oh yeah, I don't even sign anyone because I want 69 00:02:51,120 --> 00:02:52,160 Speaker 4: to have my data. 70 00:02:52,360 --> 00:02:54,760 Speaker 7: And uh, I like, if you use up, you know, 71 00:02:55,360 --> 00:02:57,520 Speaker 7: in a day or in a time period, Chat, GPT 72 00:02:57,760 --> 00:03:00,440 Speaker 7: or Claude, then you can then you just go to 73 00:03:00,560 --> 00:03:03,760 Speaker 7: Google and you can use Google Search. But Mandeep was 74 00:03:03,800 --> 00:03:07,800 Speaker 7: here telling us that you can bundle Gemini in Google 75 00:03:07,880 --> 00:03:10,399 Speaker 7: one services. So if you pay for other Google services 76 00:03:10,480 --> 00:03:12,760 Speaker 7: you can then get Gemini is a standalone app, and 77 00:03:12,919 --> 00:03:15,320 Speaker 7: that LLLM is different from the experience that I get 78 00:03:15,480 --> 00:03:18,000 Speaker 7: using AI in Google Search. 79 00:03:18,720 --> 00:03:21,320 Speaker 5: That's I didn't know that that's something I should try. 80 00:03:21,520 --> 00:03:24,680 Speaker 7: So when Google gives that number about how many people 81 00:03:25,360 --> 00:03:29,120 Speaker 7: are using Gemini fourth quarter Gemini app monthly active users 82 00:03:29,120 --> 00:03:31,960 Speaker 7: seven hundred and fifty million versus six hundred and fifty 83 00:03:32,000 --> 00:03:35,160 Speaker 7: million quarter over quarter, that's the standalone Gemini app. 84 00:03:35,280 --> 00:03:36,600 Speaker 6: Oh wow, So that's a lot of people. 85 00:03:36,680 --> 00:03:38,200 Speaker 5: A big win also is that they will be the 86 00:03:38,280 --> 00:03:41,920 Speaker 5: provider of AI for THEORI on Apple's iPhone, So I 87 00:03:42,000 --> 00:03:44,000 Speaker 5: mean imagine like your default will be that. 88 00:03:44,160 --> 00:03:45,600 Speaker 3: Well, that's what Mandy've talked about. 89 00:03:45,640 --> 00:03:45,760 Speaker 5: You know. 90 00:03:45,840 --> 00:03:51,640 Speaker 1: Apple is so relying on alphabet Google specifically for their 91 00:03:51,760 --> 00:03:54,800 Speaker 1: AI play, which is pretty wild. 92 00:03:55,000 --> 00:03:58,720 Speaker 3: But that means you have a massive customer, right who 93 00:03:58,800 --> 00:04:01,760 Speaker 3: can tap into automatic one. Yeah, yeah, big one. 94 00:04:02,040 --> 00:04:05,560 Speaker 6: Twenty million autonomous trips in December for Weimo. That one's 95 00:04:05,600 --> 00:04:06,000 Speaker 6: for Carol. 96 00:04:06,720 --> 00:04:08,480 Speaker 3: Let me bring it on, bring it. 97 00:04:08,520 --> 00:04:09,400 Speaker 4: I never been on one. 98 00:04:09,520 --> 00:04:13,040 Speaker 3: Oh my god, you don't actually baked out? Do you 99 00:04:13,200 --> 00:04:14,080 Speaker 3: like going to the spa? 100 00:04:15,000 --> 00:04:15,200 Speaker 5: Yes? 101 00:04:15,480 --> 00:04:17,920 Speaker 1: Okay, You're gonna love a weymo because especially if you 102 00:04:18,000 --> 00:04:19,680 Speaker 1: go for like a good twenty minute or twenty five 103 00:04:19,720 --> 00:04:20,880 Speaker 1: minute trip, which I have done. 104 00:04:20,920 --> 00:04:22,320 Speaker 3: I mean I actually closed. 105 00:04:22,040 --> 00:04:24,800 Speaker 6: My eyes to go all around all the areas. 106 00:04:24,839 --> 00:04:27,000 Speaker 3: I was going to the airport, but I mean I 107 00:04:27,080 --> 00:04:28,679 Speaker 3: actually closed my eyes. It was so relaxed. 108 00:04:28,720 --> 00:04:31,080 Speaker 5: Okay, I do feel bad because sometimes you know you're 109 00:04:31,160 --> 00:04:33,280 Speaker 5: just not having it that day, but then you feel bad, 110 00:04:33,440 --> 00:04:36,720 Speaker 5: especially if the car service driver, whether it's at lift 111 00:04:36,800 --> 00:04:37,479 Speaker 5: or uber, is. 112 00:04:37,480 --> 00:04:39,760 Speaker 4: Trying to be nice to you, and I'm like, sir. 113 00:04:39,760 --> 00:04:43,760 Speaker 3: It's not you, it's me, But really, I just had 114 00:04:43,760 --> 00:04:45,200 Speaker 3: a bad day. You have to break up with it. 115 00:04:45,400 --> 00:04:47,600 Speaker 4: Yeah, I know, I see that. People. 116 00:04:47,880 --> 00:04:51,040 Speaker 3: Let's go to Qualcom also after the close, this one. 117 00:04:51,040 --> 00:04:53,160 Speaker 5: Is down bad, also down by seven and a half percent. 118 00:04:53,200 --> 00:04:55,120 Speaker 5: Earlier when I checked, it was down nine percent. So 119 00:04:55,240 --> 00:04:59,160 Speaker 5: Qualcum is the largest maker of smart smartphone processors, and 120 00:04:59,240 --> 00:05:02,080 Speaker 5: they gave lack less revenue forecast. So again this ra 121 00:05:02,160 --> 00:05:05,200 Speaker 5: is concerned that component shortages will hurt consumer demand by 122 00:05:05,279 --> 00:05:07,160 Speaker 5: driving prices up. I feel like we always talk about this, 123 00:05:07,279 --> 00:05:09,480 Speaker 5: Carol like, yeah, there is a lot of demand, and 124 00:05:09,560 --> 00:05:12,480 Speaker 5: what will happen to that? So shares are dropping and 125 00:05:12,560 --> 00:05:14,640 Speaker 5: they said a, well, there's demand for high end phone. 126 00:05:14,720 --> 00:05:17,720 Speaker 5: Some of its customers, especially those in China, will be 127 00:05:17,800 --> 00:05:20,800 Speaker 5: making fewer handsets than expected because again they can't get 128 00:05:20,920 --> 00:05:23,640 Speaker 5: enough memory chips, and the prices of those components are 129 00:05:23,720 --> 00:05:24,800 Speaker 5: heading up up up. 130 00:05:26,320 --> 00:05:30,280 Speaker 2: The Stock Movers report from Bloomberg Radio. Check back with 131 00:05:30,440 --> 00:05:33,000 Speaker 2: us throughout the day for the latest roundup of companies 132 00:05:33,080 --> 00:05:36,119 Speaker 2: making news on Wall Street and for the latest market 133 00:05:36,240 --> 00:05:40,679 Speaker 2: moving headlines. 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