1 00:00:00,040 --> 00:00:03,120 Speaker 1: Well, Meta Platforms CEO Mark Zuckerberg, as we've been reporting, 2 00:00:03,120 --> 00:00:05,600 Speaker 1: says that the company will cut more than eleven thousand 3 00:00:05,720 --> 00:00:10,000 Speaker 1: jobs and that represents about of metas workforce, joining us 4 00:00:10,039 --> 00:00:13,520 Speaker 1: to discuss his mandate seeing Bloomberg Intelligence senior tech industry 5 00:00:13,560 --> 00:00:17,120 Speaker 1: analyst mandive. We've discussed some of the other ways that 6 00:00:17,239 --> 00:00:19,840 Speaker 1: Meta is trying to cut costs as well. We never 7 00:00:19,880 --> 00:00:22,599 Speaker 1: like to hear about job cuts, but is it actually 8 00:00:22,600 --> 00:00:26,760 Speaker 1: going to be enough to turn things around for Meta? 9 00:00:27,080 --> 00:00:31,360 Speaker 1: I mean, let's put it into context. So Meta actually 10 00:00:31,520 --> 00:00:35,720 Speaker 1: grew their employee base from twenty five thousand to almost 11 00:00:35,760 --> 00:00:38,879 Speaker 1: eighty five thousand in a span of four years. And 12 00:00:39,240 --> 00:00:42,280 Speaker 1: this kind of growth you could argue, you know, during 13 00:00:42,320 --> 00:00:47,640 Speaker 1: the pandemic, the company was growing, uh, you know, and 14 00:00:47,680 --> 00:00:50,159 Speaker 1: they were growing employee based in line with that. That 15 00:00:50,320 --> 00:00:53,680 Speaker 1: is what led to this situation. So what they're doing 16 00:00:53,760 --> 00:00:59,240 Speaker 1: now is going back to their levels. And I think 17 00:00:59,480 --> 00:01:02,880 Speaker 1: in terms of the offset, they're spending about you know, 18 00:01:03,560 --> 00:01:07,679 Speaker 1: fifteen billion dollars in operational costs on the reality labs, 19 00:01:07,760 --> 00:01:11,760 Speaker 1: the Meta worst segment that they thankful growth you know, 20 00:01:11,880 --> 00:01:16,080 Speaker 1: for the next few years, but essentially, you know, the 21 00:01:16,160 --> 00:01:21,479 Speaker 1: core business is still generating free cash for margins. So really, 22 00:01:21,520 --> 00:01:25,360 Speaker 1: if they peer back the reality labs, then this will 23 00:01:25,400 --> 00:01:27,920 Speaker 1: look a lot better. But otherwise I think we're just 24 00:01:28,000 --> 00:01:30,800 Speaker 1: going back to where they were back in in terms 25 00:01:30,840 --> 00:01:33,160 Speaker 1: of the employee account. Can I push back a little 26 00:01:33,160 --> 00:01:35,720 Speaker 1: bit on that because we know that the digital ad 27 00:01:35,760 --> 00:01:38,840 Speaker 1: market is contracting right now, and I know that Meta 28 00:01:39,080 --> 00:01:42,600 Speaker 1: on that front has to be facing somewhat of a headwind. 29 00:01:42,959 --> 00:01:46,840 Speaker 1: Fair statement, absolutely, and it reflects in the ad pricing. 30 00:01:46,920 --> 00:01:50,560 Speaker 1: So They're pricing has been declined double digits this year, 31 00:01:50,640 --> 00:01:55,000 Speaker 1: but that is something that's affecting everyone Alphabet and you know, 32 00:01:55,040 --> 00:01:57,800 Speaker 1: all the other players in the industry, so that cyclical, 33 00:01:58,240 --> 00:02:01,520 Speaker 1: that component will come back. Yes, they have pressure from TikTok, 34 00:02:01,960 --> 00:02:05,000 Speaker 1: that is the other headmen that they face and which 35 00:02:05,040 --> 00:02:08,560 Speaker 1: is somewhat affecting Meta more than the other players. But 36 00:02:08,720 --> 00:02:12,040 Speaker 1: I think even that will improve over time. Maybe there 37 00:02:12,120 --> 00:02:14,800 Speaker 1: is a band on TikTok that could be good news 38 00:02:14,840 --> 00:02:18,600 Speaker 1: for Meta. You're right as well in some of the 39 00:02:18,680 --> 00:02:22,480 Speaker 1: Bloomberg intelligence pieces that we're looking through that you have 40 00:02:22,600 --> 00:02:25,760 Speaker 1: seen engagement on the core Facebook app peaking, And I 41 00:02:25,800 --> 00:02:27,639 Speaker 1: think that we could all argue that when we look 42 00:02:27,639 --> 00:02:31,040 Speaker 1: at our own interaction with that app, So tell us 43 00:02:31,040 --> 00:02:33,960 Speaker 1: where the bigger growth is then coming through. I mean, 44 00:02:33,960 --> 00:02:36,240 Speaker 1: we chink about reality labs, but is it is it 45 00:02:36,280 --> 00:02:38,440 Speaker 1: the likes of reals? Is it Instagram? Where do we 46 00:02:38,480 --> 00:02:42,359 Speaker 1: see some more kind of a guest movement formata? Yes, 47 00:02:42,480 --> 00:02:47,240 Speaker 1: so on a standalone basis, Instagram is still doing very 48 00:02:47,240 --> 00:02:51,080 Speaker 1: well from an engagement perspective. And the ad pricing compression 49 00:02:51,440 --> 00:02:54,760 Speaker 1: is not affecting Instagram as much as it's affecting the 50 00:02:54,800 --> 00:02:58,600 Speaker 1: core blue app, So clearly Instagram is still working. WhatsApp 51 00:02:58,680 --> 00:03:02,960 Speaker 1: has actually been a bright spots so Matter recently disclosed 52 00:03:02,960 --> 00:03:06,160 Speaker 1: in their earnings that click to message ads is almost 53 00:03:06,160 --> 00:03:09,200 Speaker 1: a nine billion dollar run rate business. And again, this 54 00:03:09,280 --> 00:03:12,120 Speaker 1: company is over a hundred and twenty billion dollars revenue 55 00:03:12,200 --> 00:03:16,840 Speaker 1: run rates, so pretty sizable given you know, the WhatsApp 56 00:03:17,000 --> 00:03:20,800 Speaker 1: was always something that didn't monetize very well, so that 57 00:03:20,840 --> 00:03:24,280 Speaker 1: seems to be improving. So definitely some bright spots to 58 00:03:24,360 --> 00:03:26,520 Speaker 1: call out. But when you look at a company with 59 00:03:26,560 --> 00:03:29,640 Speaker 1: over a hundred billion dollar revenue run rate, you need 60 00:03:30,600 --> 00:03:33,799 Speaker 1: something big to drive that next leg of world. Now 61 00:03:33,880 --> 00:03:36,920 Speaker 1: the company fields its matter worse, but so far there 62 00:03:37,000 --> 00:03:40,960 Speaker 1: hasn't been any commercial success or you know, Uh, it's 63 00:03:41,040 --> 00:03:44,000 Speaker 1: kind of a jump in installed base of r headsets 64 00:03:44,040 --> 00:03:46,800 Speaker 1: and and that's why I think it's too premature to go, 65 00:03:47,440 --> 00:03:50,040 Speaker 1: you know, that big in terms of committing fifteen billion 66 00:03:50,080 --> 00:03:53,840 Speaker 1: dollars in APEX and another ten billion dollars in CAPEX 67 00:03:53,880 --> 00:03:57,400 Speaker 1: spending on something that we don't know it's commercially viable. 68 00:03:57,800 --> 00:04:01,560 Speaker 1: So you mentioned TikTok, they're obviously the social media landscape 69 00:04:01,560 --> 00:04:05,680 Speaker 1: has changed pretty dramatically, and we see what's going on 70 00:04:05,920 --> 00:04:08,960 Speaker 1: with Twitter right now and the challenges facing the new leader, 71 00:04:09,040 --> 00:04:11,800 Speaker 1: Elon Musk. I know, Mandeep, it's a bit of apples 72 00:04:11,840 --> 00:04:15,840 Speaker 1: and oranges. But can you see anyway that Meta or 73 00:04:15,920 --> 00:04:20,080 Speaker 1: any one of its platforms, whether it's Facebook or Instagram, 74 00:04:20,160 --> 00:04:22,720 Speaker 1: any one of those platforms can benefit from a lot 75 00:04:22,720 --> 00:04:27,279 Speaker 1: of what we're seeing at Twitter. They could, But again 76 00:04:27,440 --> 00:04:30,320 Speaker 1: the question is what will move the needle in the 77 00:04:30,360 --> 00:04:33,440 Speaker 1: case of Meta. So even if let's say, you know, 78 00:04:34,040 --> 00:04:37,960 Speaker 1: a billion dollars of ad revenue get split across all 79 00:04:38,080 --> 00:04:41,920 Speaker 1: these competing platforms, whether it's Meta or Snapchat or Pinterest, 80 00:04:42,680 --> 00:04:45,440 Speaker 1: it's not going to move the needle for Meta. It 81 00:04:45,520 --> 00:04:48,560 Speaker 1: could move the needle for Snapchat or Pinterest because they're 82 00:04:48,600 --> 00:04:52,000 Speaker 1: much smaller in size, but for Meta, given their size, 83 00:04:52,400 --> 00:04:56,440 Speaker 1: like the Apple at pricing, headwind is about a ten 84 00:04:56,520 --> 00:05:00,120 Speaker 1: billion dollar drag on their top line this year. So, 85 00:05:00,200 --> 00:05:02,120 Speaker 1: just to give you a sense of the magnitude of 86 00:05:02,120 --> 00:05:05,279 Speaker 1: what Apple has done, because of all the privacy changes 87 00:05:05,320 --> 00:05:08,599 Speaker 1: and the lower ad advocacy that Meta has, they're losing 88 00:05:08,640 --> 00:05:11,880 Speaker 1: almost ten billion dollars. Now something has to offset that. First, 89 00:05:11,920 --> 00:05:14,839 Speaker 1: I don't think it's going to be Twitter's revenue. We 90 00:05:14,920 --> 00:05:17,320 Speaker 1: talked about the fact that losing your job but never 91 00:05:17,640 --> 00:05:21,080 Speaker 1: never something we want to hear of metas workforce that 92 00:05:21,200 --> 00:05:24,159 Speaker 1: is facing that that more than eleven jobs. Who do 93 00:05:24,240 --> 00:05:26,880 Speaker 1: you think might be looking to pick those jobs up? 94 00:05:26,960 --> 00:05:29,560 Speaker 1: Because a smart company is going to look for talent 95 00:05:29,880 --> 00:05:32,440 Speaker 1: when others are saying, look, we can't kind of deal 96 00:05:32,480 --> 00:05:37,000 Speaker 1: with that right now and potentially move their business forward. Yeah, 97 00:05:37,040 --> 00:05:40,080 Speaker 1: So look, I mean there are companies that are looking 98 00:05:40,080 --> 00:05:43,200 Speaker 1: to expand into ads, and what Apple has done is 99 00:05:43,279 --> 00:05:47,800 Speaker 1: really created a level playing field for anyone to benefit from, 100 00:05:47,920 --> 00:05:51,040 Speaker 1: you know, first party data. So even retailers are looking 101 00:05:51,080 --> 00:05:54,800 Speaker 1: to offer their own app platform. A company like Roadblocks 102 00:05:54,839 --> 00:05:58,200 Speaker 1: that reported results today, much smaller in size, but they 103 00:05:58,279 --> 00:06:02,680 Speaker 1: talked about expanding their head count and roadblocks is also 104 00:06:02,680 --> 00:06:05,359 Speaker 1: a metaverse played to an extent because they have you know, 105 00:06:05,440 --> 00:06:07,760 Speaker 1: three D games, even though you don't play it using 106 00:06:07,760 --> 00:06:11,480 Speaker 1: the VR headsets, it's all three D content. So look, 107 00:06:11,839 --> 00:06:15,200 Speaker 1: there will be a company that will uh you know, 108 00:06:15,600 --> 00:06:19,159 Speaker 1: emerge out of this downturn and and really take share. 109 00:06:19,240 --> 00:06:21,320 Speaker 1: And uh, I think the smaller ones I have a 110 00:06:21,320 --> 00:06:23,840 Speaker 1: better shot at it, all right, Man, Deep, always a pleasure, 111 00:06:23,839 --> 00:06:26,560 Speaker 1: Thank you so much, Bloomberg's men, Deep saying from a 112 00:06:26,560 --> 00:06:29,720 Speaker 1: Bloomberg Intelligence he is our senior tech industry analyst.