1 00:00:02,520 --> 00:00:10,440 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, The Stock Movers podcast, 2 00:00:10,840 --> 00:00:14,120 Speaker 1: your roundup of companies making moves in the stock market. 3 00:00:14,240 --> 00:00:17,640 Speaker 1: Harnessing the power of Bloomberg Data. 4 00:00:17,840 --> 00:00:20,000 Speaker 2: Alex Steele, Paul Sweeney. I think we're all used to 5 00:00:20,040 --> 00:00:23,079 Speaker 2: the crazy numbers being thrown around a big tech in AI. 6 00:00:23,200 --> 00:00:26,759 Speaker 2: But how about this one. Meta pays fourteen point three 7 00:00:26,800 --> 00:00:29,960 Speaker 2: billion dollars for a forty nine percent stake in a 8 00:00:29,960 --> 00:00:33,720 Speaker 2: company called Scale AI. That seems like a big number 9 00:00:33,760 --> 00:00:36,160 Speaker 2: to me. Then I read man Deep Singh's research note 10 00:00:36,640 --> 00:00:40,120 Speaker 2: and it's fifteen times enterprise value to sales. Fifteen times 11 00:00:40,159 --> 00:00:43,640 Speaker 2: sales even for like AI tech. That seems crazy to me. 12 00:00:43,680 --> 00:00:46,080 Speaker 2: So we hauled in Mandeep Sing here to defend this 13 00:00:46,080 --> 00:00:48,519 Speaker 2: thing or explain it to us. Mandeep Sing's senior technology 14 00:00:48,520 --> 00:00:51,360 Speaker 2: analys for Bloomberg Intelligence, Mandep, I'm looking at your research. 15 00:00:51,520 --> 00:00:55,240 Speaker 2: That's a big valuation for a big company like Meta 16 00:00:55,320 --> 00:00:57,760 Speaker 2: to I guess scale up in AI. Is that what 17 00:00:57,800 --> 00:00:58,240 Speaker 2: they're doing? 18 00:00:58,520 --> 00:01:01,720 Speaker 3: Yeah, and they have a president. If you remember, they 19 00:01:01,720 --> 00:01:05,479 Speaker 3: bought Instagram and WhatsApp back in the day, and if 20 00:01:05,520 --> 00:01:09,480 Speaker 3: you look at the multiples, that seem rich at that time. 21 00:01:09,560 --> 00:01:13,000 Speaker 3: But look, I think in this case, Clearly they have 22 00:01:13,200 --> 00:01:16,120 Speaker 3: made all the right moves when it comes to Capex, 23 00:01:17,240 --> 00:01:20,960 Speaker 3: it's comparable to the Microsoft and the Googles of the world. 24 00:01:21,480 --> 00:01:25,200 Speaker 3: But they've open source their model. It's just that when 25 00:01:25,240 --> 00:01:28,880 Speaker 3: it comes to the usability, that's where they've been lacking, 26 00:01:29,800 --> 00:01:33,399 Speaker 3: the likes of open AI and Tropic and Google. And 27 00:01:33,920 --> 00:01:37,080 Speaker 3: I think Mark Zuckerberg is trying to fix that by 28 00:01:37,240 --> 00:01:41,080 Speaker 3: acquiring this data company. I mean, there's a lot of 29 00:01:41,120 --> 00:01:45,560 Speaker 3: skepticism whether the data alone is the answer to catching 30 00:01:45,640 --> 00:01:48,760 Speaker 3: up to the opening eyes of the world, but clearly 31 00:01:48,800 --> 00:01:49,320 Speaker 3: that's now. 32 00:01:49,560 --> 00:01:52,320 Speaker 2: I noticed being a former banker that they didn't buy 33 00:01:52,320 --> 00:01:54,600 Speaker 2: the whole thing, and they didn't buy a controlling stake. 34 00:01:55,240 --> 00:01:59,680 Speaker 2: Is this to get around government regulatory oversight, which kind 35 00:01:59,680 --> 00:02:02,400 Speaker 2: of they can't buy anything control of anything. 36 00:02:02,600 --> 00:02:06,280 Speaker 3: Yes, and the president here is what happened a year 37 00:02:06,360 --> 00:02:10,800 Speaker 3: back with the other three hyperscalers. So Microsoft bought this 38 00:02:10,840 --> 00:02:15,840 Speaker 3: company Inflection AI, brought over the founder Moustafa Solomon. Google 39 00:02:16,880 --> 00:02:20,400 Speaker 3: had an investment in this company, Character Ai. They brought 40 00:02:20,400 --> 00:02:24,480 Speaker 3: over the founder Noam Shazir, and Amazon did something similar. 41 00:02:24,680 --> 00:02:27,880 Speaker 3: So in all three cases it wasn't an outright acquisition, 42 00:02:28,400 --> 00:02:31,960 Speaker 3: but an investment with a forty nine percent stake and 43 00:02:32,080 --> 00:02:34,960 Speaker 3: getting over the co founder, so that playbook is pretty 44 00:02:35,000 --> 00:02:38,000 Speaker 3: well established at this point. Is this a defense or 45 00:02:38,040 --> 00:02:43,919 Speaker 3: offensive play I mean it's defense because Meta has invested, 46 00:02:43,960 --> 00:02:48,040 Speaker 3: you know, seventy billion dollars in Capex just this year 47 00:02:48,560 --> 00:02:53,200 Speaker 3: on Open ai on their AI investment the data centers, 48 00:02:53,480 --> 00:02:56,720 Speaker 3: so it's comparable to your Open ai and in Tropic 49 00:02:56,840 --> 00:03:00,000 Speaker 3: and Google. But it's just that their models are not 50 00:03:00,400 --> 00:03:04,240 Speaker 3: as heavily used as some of the other names, and 51 00:03:04,280 --> 00:03:06,760 Speaker 3: that's where you know they are just trailing and engagement. 52 00:03:06,800 --> 00:03:08,959 Speaker 3: I mean, they have the surface area. Think about it. 53 00:03:09,400 --> 00:03:12,520 Speaker 3: They get almost three billion users to come on their 54 00:03:12,520 --> 00:03:17,080 Speaker 3: family of apps, you know, Instagram, WhatsApp, and the Core 55 00:03:17,120 --> 00:03:20,800 Speaker 3: Blue app. They can deploy their AI, which they have 56 00:03:20,960 --> 00:03:24,640 Speaker 3: done on WhatsApp, but it's just not used. So open 57 00:03:24,680 --> 00:03:28,000 Speaker 3: aiy is right now used by their daily active users 58 00:03:28,000 --> 00:03:31,600 Speaker 3: for twenty nine minutes every day. Think of how much 59 00:03:31,639 --> 00:03:34,280 Speaker 3: Meta EI is used, not even a minute, right, So 60 00:03:34,400 --> 00:03:36,240 Speaker 3: that just goes to show the usage here. 61 00:03:36,280 --> 00:03:38,240 Speaker 2: All right, you mentioned WhatsApp. I got to ask you 62 00:03:38,280 --> 00:03:40,320 Speaker 2: this because this was back in my days covering the 63 00:03:40,360 --> 00:03:42,800 Speaker 2: stock when they bought WhatsApp. He said, ah, they can 64 00:03:42,840 --> 00:03:44,800 Speaker 2: monetize it at some point in the future. That was 65 00:03:44,840 --> 00:03:48,120 Speaker 2: like ten years ago. Dude, It's they're just now putting 66 00:03:48,160 --> 00:03:54,280 Speaker 2: advertising and thinking about subscription type situation. Is this Meta 67 00:03:54,480 --> 00:03:56,880 Speaker 2: actually finally trying to monetize WhatsApp? 68 00:03:57,760 --> 00:04:01,600 Speaker 3: Yes, And look, messaging is I mean think about Apple. 69 00:04:01,680 --> 00:04:05,560 Speaker 3: I message can't really show an AD if you're saying 70 00:04:05,640 --> 00:04:09,120 Speaker 3: your messages are encrypted, you can't really show a targeted 71 00:04:09,160 --> 00:04:11,960 Speaker 3: ad there. So it's very different from your social media feed. 72 00:04:12,360 --> 00:04:16,040 Speaker 3: At the same time, Meta does have a ten billion 73 00:04:16,160 --> 00:04:20,880 Speaker 3: dollar existing business even before this launch on the update 74 00:04:20,960 --> 00:04:24,760 Speaker 3: page or the update tab where click to messaging ads, 75 00:04:24,760 --> 00:04:27,600 Speaker 3: so they would show you an ad on their messenger 76 00:04:28,200 --> 00:04:32,320 Speaker 3: or even your Facebook feed with a click to WhatsApp, 77 00:04:32,800 --> 00:04:35,440 Speaker 3: and they charge you for that. So a lot of 78 00:04:35,440 --> 00:04:39,000 Speaker 3: small businesses do use that click to messaging ad, which 79 00:04:39,040 --> 00:04:42,360 Speaker 3: is outside of WhatsApp, to bring people to WhatsApp and 80 00:04:43,360 --> 00:04:44,880 Speaker 3: solve for their customer service use. 81 00:04:44,960 --> 00:04:50,080 Speaker 1: Came the Stock Movers podcast from Bloomberg Radio. Check back 82 00:04:50,120 --> 00:04:53,080 Speaker 1: with us throughout today for the latest roundup of companies 83 00:04:53,120 --> 00:04:56,159 Speaker 1: making news on Wall Street and for the latest market 84 00:04:56,200 --> 00:05:00,120 Speaker 1: moving headlines. Listen to Bloomberg Radio Live. Catch us on 85 00:05:00,160 --> 00:05:03,719 Speaker 1: YouTube Bloomberg dot com and on Applecarplay and Android Auto 86 00:05:03,760 --> 00:05:10,599 Speaker 1: with the Bloomberg Business app MHM.