1 00:00:02,520 --> 00:00:08,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, The. 2 00:00:08,880 --> 00:00:13,160 Speaker 2: Stock Movers podcast, your roundup of companies making moves in 3 00:00:13,200 --> 00:00:16,480 Speaker 2: the stock market, harnessing the power of Bloomberg Data. 4 00:00:17,480 --> 00:00:20,720 Speaker 1: I'm Tim Stinibeck along with Carol Masser. Let's take a 5 00:00:20,720 --> 00:00:23,040 Speaker 1: look at some stocks on the move today. With us 6 00:00:23,280 --> 00:00:27,720 Speaker 1: is Bloomberg News Equities reporter Alexandra Semenova. Alex what's on 7 00:00:27,760 --> 00:00:28,520 Speaker 1: your radar today? 8 00:00:28,760 --> 00:00:30,520 Speaker 3: Hey, guys, Always great to be on with you. We 9 00:00:30,560 --> 00:00:32,880 Speaker 3: got to, of course, start with Tesla. We're all watching 10 00:00:32,920 --> 00:00:36,160 Speaker 3: that stock after the very public blow up between CEO 11 00:00:36,240 --> 00:00:39,360 Speaker 3: Elon Musk and President Donald Trump last week. It's actually 12 00:00:39,440 --> 00:00:42,080 Speaker 3: up a little bit today. This comes even as it 13 00:00:42,120 --> 00:00:46,000 Speaker 3: got to downgrades from firms on Wall Street that's Baird 14 00:00:46,200 --> 00:00:51,240 Speaker 3: and Argust Research. Of course, investors have been worried about 15 00:00:51,680 --> 00:00:55,120 Speaker 3: the reputational damage that this political fallout has done for 16 00:00:55,200 --> 00:00:58,480 Speaker 3: the company, and they were also worried about the fact 17 00:00:58,560 --> 00:01:01,960 Speaker 3: that it might not deliver on its Robotaxi promises. Obviously, 18 00:01:02,000 --> 00:01:05,040 Speaker 3: this is coming at a very difficult time for Tesla. 19 00:01:05,120 --> 00:01:08,319 Speaker 3: Shares are down about twenty seven percent in twenty twenty five, 20 00:01:08,400 --> 00:01:11,880 Speaker 3: making it the weakest performer of the so called Magnificent 21 00:01:11,959 --> 00:01:15,520 Speaker 3: seven stocks, and they had, of course rallied after the 22 00:01:15,560 --> 00:01:18,320 Speaker 3: election and then peaked in December, and obviously it's been 23 00:01:18,360 --> 00:01:21,280 Speaker 3: a really difficult time for the company. Elon Musk had 24 00:01:21,520 --> 00:01:24,080 Speaker 3: focused so much on his political endeavors in the White 25 00:01:24,120 --> 00:01:27,240 Speaker 3: House and then had this very public fallout. The stock 26 00:01:27,280 --> 00:01:30,520 Speaker 3: fell fourteen percent on Thursday, was its worst day since 27 00:01:30,560 --> 00:01:32,640 Speaker 3: twenty twenty three, and obviously now Wall Street is just 28 00:01:32,640 --> 00:01:34,600 Speaker 3: trying to assess the long term damage. 29 00:01:35,080 --> 00:01:37,920 Speaker 1: Yeah. What I find notable about this oftentimes, Alex, when 30 00:01:37,920 --> 00:01:40,160 Speaker 1: you see downgrades or double down grades such as this, 31 00:01:40,240 --> 00:01:42,720 Speaker 1: you'll see the stock react accordingly. Seems like a lot 32 00:01:42,720 --> 00:01:45,240 Speaker 1: of this was baked into the stock, given that shares 33 00:01:45,240 --> 00:01:48,200 Speaker 1: fell what close to fifteen percent just last week, So 34 00:01:48,520 --> 00:01:51,120 Speaker 1: it's almost like in this case, the analysts are catching up. 35 00:01:51,680 --> 00:01:52,000 Speaker 2: Yeah. 36 00:01:52,040 --> 00:01:55,280 Speaker 3: Sometimes you know, analyst downgrades are a contrarian indicator to him. 37 00:01:55,320 --> 00:01:57,080 Speaker 3: And obviously when we saw the kind of sell off 38 00:01:57,080 --> 00:01:59,080 Speaker 3: that we did, there are still people who are big 39 00:01:59,080 --> 00:02:01,400 Speaker 3: believers in this company and who saw it as an 40 00:02:01,400 --> 00:02:04,560 Speaker 3: opportunity to buy in. One of my sources, Dave Maza, 41 00:02:04,600 --> 00:02:07,400 Speaker 3: he's the CEO of Roundhill Investments, described it really well. 42 00:02:07,400 --> 00:02:10,639 Speaker 3: Companies like Tesla. They don't trade on fundamentals obviously, they 43 00:02:10,680 --> 00:02:13,160 Speaker 3: trade on something he called a dream premium, and I 44 00:02:13,160 --> 00:02:14,760 Speaker 3: think that's kind of what's happening. 45 00:02:14,400 --> 00:02:17,360 Speaker 4: Here, safe to say, one of the big dream but 46 00:02:17,400 --> 00:02:20,920 Speaker 4: maybe also reality Premiums is all things with AI, and 47 00:02:20,960 --> 00:02:24,079 Speaker 4: that leads us to Meta. You are watching Meta today 48 00:02:24,200 --> 00:02:26,399 Speaker 4: and it definitely has an AI connection here. 49 00:02:26,720 --> 00:02:29,560 Speaker 3: Yeah, we got to talk about this incredible scoop by 50 00:02:29,720 --> 00:02:32,480 Speaker 3: our Bloomberg reporters here. Meta is in talks to make 51 00:02:32,520 --> 00:02:37,160 Speaker 3: a multi billion dollar deal with startup scale Ai. It 52 00:02:37,160 --> 00:02:41,359 Speaker 3: could exceed ten billion dollars in value. This is, of course, 53 00:02:41,400 --> 00:02:44,360 Speaker 3: according to sources familiar with the discussions who chose not 54 00:02:44,440 --> 00:02:47,080 Speaker 3: to be identified due to their proximity to the deal, 55 00:02:47,360 --> 00:02:51,600 Speaker 3: and basically, scale Ai provides data labeling services. It helps 56 00:02:51,639 --> 00:02:54,840 Speaker 3: companies train their machine learning model, so really really big 57 00:02:55,040 --> 00:02:58,240 Speaker 3: investment here for Meta. It also works with customers like 58 00:02:58,320 --> 00:03:01,919 Speaker 3: Microsoft and open A. The stock is actually flat today, 59 00:03:02,360 --> 00:03:04,760 Speaker 3: not not big moves across the equity market, so not 60 00:03:04,800 --> 00:03:05,720 Speaker 3: reacting very much. 61 00:03:06,560 --> 00:03:09,000 Speaker 1: Yeah, this is This is a fascinating write up by 62 00:03:09,040 --> 00:03:13,360 Speaker 1: our team including Seth Figgerman and Rachel Metz. Twenty eight 63 00:03:13,440 --> 00:03:16,280 Speaker 1: year old AI executive Alexander Wong. He went to Capitol 64 00:03:16,320 --> 00:03:18,760 Speaker 1: Hill to tell policymakers what they needed to do maintain 65 00:03:19,120 --> 00:03:22,280 Speaker 1: US dominance, and now metas set to throw Carol billions 66 00:03:22,280 --> 00:03:24,639 Speaker 1: of dollars at this startup. It's pretty remarkable to say. 67 00:03:24,680 --> 00:03:27,160 Speaker 4: Yeah, they talk about, you know, how they've evolved their 68 00:03:27,200 --> 00:03:31,360 Speaker 4: business increasingly relying on high paid contractors with graduate degrees 69 00:03:31,360 --> 00:03:34,840 Speaker 4: to improve AI systems, and has deepened its relationship with 70 00:03:34,840 --> 00:03:37,960 Speaker 4: the US government through defense deals. So Alex giving us 71 00:03:37,960 --> 00:03:40,880 Speaker 4: some context as well. But it's interesting to see a 72 00:03:40,960 --> 00:03:44,120 Speaker 4: very established company like Meta. But the AI grab it's 73 00:03:44,160 --> 00:03:46,200 Speaker 4: pretty intense. And when we're talking about maybe as much 74 00:03:46,200 --> 00:03:49,680 Speaker 4: as ten billion dollars, that's some serious money. Let's get 75 00:03:49,720 --> 00:03:52,119 Speaker 4: to I think it's the number one gainer. It has 76 00:03:52,160 --> 00:03:54,280 Speaker 4: been at points during the day in the S and 77 00:03:54,280 --> 00:03:57,320 Speaker 4: P five hundred, the NASDAQ one hundred, Warner Brothers, Discovery, 78 00:03:57,320 --> 00:03:58,440 Speaker 4: you're watching that one as well. 79 00:03:58,320 --> 00:04:00,960 Speaker 3: Alex, Yeah, this was some interesting news today. It is 80 00:04:01,000 --> 00:04:05,720 Speaker 3: actually splitting into two independent companies, Global Networks and Streaming 81 00:04:05,760 --> 00:04:10,360 Speaker 3: and Studios. Global Networks will include entertainment, sports, and cable 82 00:04:10,400 --> 00:04:14,320 Speaker 3: television brands such as CNN, TNT, and TBS, and it'll 83 00:04:14,360 --> 00:04:17,840 Speaker 3: hold a twenty percent stake in streaming and studios, and 84 00:04:17,880 --> 00:04:20,560 Speaker 3: the separation is actually expected to be completed by mid 85 00:04:20,680 --> 00:04:24,160 Speaker 3: twenty twenty six, allowing each company to pursue its own 86 00:04:24,279 --> 00:04:27,040 Speaker 3: investment deals and kind of operate as separate entities. And 87 00:04:27,080 --> 00:04:30,560 Speaker 3: this was meant to unshackle, you know, it's fast growing 88 00:04:30,560 --> 00:04:34,320 Speaker 3: streaming business from the legacy cable networks that perhaps aren't 89 00:04:34,360 --> 00:04:37,440 Speaker 3: doing as well. Obviously, there's this big there's been this 90 00:04:37,520 --> 00:04:42,080 Speaker 3: big move into streaming services while cable news isn't necessarily 91 00:04:42,120 --> 00:04:45,560 Speaker 3: as popular anymore and Lust we're generally positive on this deal. 92 00:04:45,720 --> 00:04:49,320 Speaker 3: Benchmark said it was an aggressive buyer on this news. 93 00:04:49,760 --> 00:04:53,360 Speaker 3: Firms like Keeping Capital Markets and Vital Knowledge also said 94 00:04:53,360 --> 00:04:56,120 Speaker 3: it was positive, but the details of the deal aren't 95 00:04:56,160 --> 00:04:58,679 Speaker 3: necessarily clear yet. So that's something to watch for here. 96 00:04:58,880 --> 00:05:01,359 Speaker 1: I don't know, I'm old enough. Remember when bigger was 97 00:05:01,400 --> 00:05:05,200 Speaker 1: better just a few years ago, and then now you 98 00:05:05,320 --> 00:05:08,760 Speaker 1: have a company such as Comcasts spinning off its media 99 00:05:08,920 --> 00:05:12,240 Speaker 1: divisions into a couple different companies and figuring out what 100 00:05:12,240 --> 00:05:14,559 Speaker 1: that's going to look like, Alex, I mean, it seems 101 00:05:14,600 --> 00:05:16,440 Speaker 1: to me. And we heard Paul Sweeney talk about this 102 00:05:16,480 --> 00:05:19,000 Speaker 1: earlier on Bloomberg Intelligence. At the end of the day. 103 00:05:19,040 --> 00:05:20,720 Speaker 1: You don't know what necessarily is going to happen when 104 00:05:20,760 --> 00:05:23,440 Speaker 1: it comes to these stocks or the businesses, but a 105 00:05:23,480 --> 00:05:26,440 Speaker 1: sure thing is that the bankers are having a payday. 106 00:05:26,640 --> 00:05:29,360 Speaker 3: Yeah, they searched youss such as this, they certainly are, 107 00:05:29,920 --> 00:05:31,680 Speaker 3: you know. And it's also been pretty incredible to see 108 00:05:31,680 --> 00:05:34,919 Speaker 3: these massive companies that brought us these very cable networks 109 00:05:35,240 --> 00:05:38,560 Speaker 3: now offer raying into streaming services, and then consumers are 110 00:05:38,560 --> 00:05:41,480 Speaker 3: all kind of getting those packaged up once again. So 111 00:05:41,920 --> 00:05:43,400 Speaker 3: kind of an interesting shift here. 112 00:05:45,000 --> 00:05:49,120 Speaker 2: The Stock Movers podcast from Bloomberg Radio. Check back with 113 00:05:49,200 --> 00:05:51,960 Speaker 2: us throughout the day for the latest roundup of companies 114 00:05:52,000 --> 00:05:55,040 Speaker 2: making news on Wall Street and for the latest market 115 00:05:55,080 --> 00:05:59,400 Speaker 2: moving headlines. Listen to Bloomberg Radio Live, catch us on YouTube, 116 00:05:59,440 --> 00:06:02,719 Speaker 2: Bloomberg dot com, and on Applecarplay and Android Auto with 117 00:06:02,800 --> 00:06:04,240 Speaker 2: the Bloomberg Business app. 118 00:06:09,160 --> 00:06:09,599 Speaker 1: Mm hmm