1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:07,000 --> 00:00:10,160 Speaker 2: We're watching shares of matap platforms down ten percent after 3 00:00:10,200 --> 00:00:14,600 Speaker 2: the company reported revenue that came in above estimates thirty 4 00:00:14,640 --> 00:00:16,960 Speaker 2: six point four to six billion versus estimates of thirty 5 00:00:17,000 --> 00:00:20,400 Speaker 2: six point one two billion. The concern, it looks like Carol, 6 00:00:20,400 --> 00:00:22,840 Speaker 2: that investors have is all about that guidance. Second quarter 7 00:00:22,920 --> 00:00:25,680 Speaker 2: revenue expected to come between thirty six point five and 8 00:00:25,720 --> 00:00:28,640 Speaker 2: thirty nine billion, whereas estimates were for thirty eight point 9 00:00:28,680 --> 00:00:32,160 Speaker 2: two four billion dollars. This is essentially the second quarter 10 00:00:32,240 --> 00:00:34,680 Speaker 2: sales forecast lagging at least at the midpoint. But we're 11 00:00:34,680 --> 00:00:36,960 Speaker 2: seeing a kind of an outsize reaction in the after hours. 12 00:00:37,000 --> 00:00:38,800 Speaker 1: Yeah, it's kind of interesting. We're going to need some 13 00:00:38,880 --> 00:00:40,760 Speaker 1: you know, kind of color around these numbers and also 14 00:00:40,800 --> 00:00:44,440 Speaker 1: this you know, increase in expenses potentially and spending. Let's 15 00:00:44,440 --> 00:00:47,240 Speaker 1: get to it with our Bloomberg News contributor John Erlickman, 16 00:00:47,280 --> 00:00:50,200 Speaker 1: who follows the tech sector and has for a long time. 17 00:00:50,280 --> 00:00:56,120 Speaker 1: John joining us from Toronto. John, the stock is sinking 18 00:00:56,560 --> 00:00:58,800 Speaker 1: in the aftermarket. I mean, it's had quite a run 19 00:00:58,840 --> 00:01:01,520 Speaker 1: here in twenty twenty four. But again, shares of Meta 20 00:01:01,560 --> 00:01:03,520 Speaker 1: down about ten percent, what jumps out for you and 21 00:01:03,800 --> 00:01:06,000 Speaker 1: why do you think maybe investors are so disappointed? Is 22 00:01:06,040 --> 00:01:07,080 Speaker 1: it all about that outlook? 23 00:01:07,360 --> 00:01:09,480 Speaker 3: I think Carol, at the end of the day, you 24 00:01:09,480 --> 00:01:12,520 Speaker 3: and Tim have outlined all the considerations that are playing 25 00:01:12,520 --> 00:01:16,360 Speaker 3: into the stock decline. Let's certainly wait for some details 26 00:01:16,400 --> 00:01:18,959 Speaker 3: on the conference call later on how the AI roadmap 27 00:01:19,040 --> 00:01:21,440 Speaker 3: is playing out. But I think the context here is 28 00:01:21,560 --> 00:01:24,040 Speaker 3: very important. So you were talking about the run up 29 00:01:24,040 --> 00:01:27,479 Speaker 3: in the stock last year and the continued rally this year. 30 00:01:27,520 --> 00:01:31,640 Speaker 3: It's easily outpacing all the digital ad players because not 31 00:01:31,720 --> 00:01:34,120 Speaker 3: only did they prove to Wall Street that they can 32 00:01:34,200 --> 00:01:37,720 Speaker 3: deliver we saw that in the previous quarter, but also 33 00:01:37,800 --> 00:01:39,720 Speaker 3: that they have been seen as one of the earliest 34 00:01:39,840 --> 00:01:42,920 Speaker 3: big winners in big tech around AI. You could argue 35 00:01:42,959 --> 00:01:46,959 Speaker 3: it's Microsoft and Meta that have shown the strongest ability 36 00:01:47,040 --> 00:01:51,680 Speaker 3: to implement implement generative AI, work it into the system. 37 00:01:51,960 --> 00:01:54,600 Speaker 3: So Tim was first to talk about the revenue number 38 00:01:54,600 --> 00:01:58,080 Speaker 3: for the current quarter possibly ending up being a little 39 00:01:58,160 --> 00:02:01,560 Speaker 3: light versus expectations, although in theory, based on the guidance 40 00:02:01,560 --> 00:02:03,680 Speaker 3: they're giving us, it could be a little bit stronger. 41 00:02:04,120 --> 00:02:07,680 Speaker 3: You highlighted the expenses. I think the fact that they 42 00:02:07,720 --> 00:02:12,200 Speaker 3: are communicating around those expenses being impacted by their AI push. 43 00:02:12,639 --> 00:02:15,239 Speaker 3: That's going to have to be a decision that investors make, 44 00:02:15,400 --> 00:02:19,400 Speaker 3: because when this stock lost basically two thirds of its 45 00:02:19,440 --> 00:02:23,280 Speaker 3: value in twenty twenty two, people were concerned about spending 46 00:02:23,320 --> 00:02:27,640 Speaker 3: on the metaverse with an unclear roadmap. Most of Wall 47 00:02:27,680 --> 00:02:30,840 Speaker 3: Street these days thinks that it is worthwhile to spend 48 00:02:30,840 --> 00:02:33,200 Speaker 3: on AI, and heck, they know how much those Nvidia 49 00:02:33,280 --> 00:02:37,240 Speaker 3: GPUs cost, so there seems to be a willingness to 50 00:02:37,320 --> 00:02:40,960 Speaker 3: spend if it will mean bigger returns. You did see 51 00:02:41,000 --> 00:02:43,840 Speaker 3: the revenue number for the current quarter pretty strong. This 52 00:02:43,919 --> 00:02:46,000 Speaker 3: is the strongest growth we've seen from them in three 53 00:02:46,080 --> 00:02:48,239 Speaker 3: years time. So I think we're going to have to 54 00:02:48,320 --> 00:02:51,400 Speaker 3: let the math fall. The simplest part of this story 55 00:02:51,560 --> 00:02:54,839 Speaker 3: is that expectations were high. The stock had rallied a lot, 56 00:02:54,919 --> 00:02:59,800 Speaker 3: completely different story than Tesla yesterday. And let's see if 57 00:02:59,800 --> 00:03:01,560 Speaker 3: they give us more details on the AI. 58 00:03:01,800 --> 00:03:01,960 Speaker 4: Yeah. 59 00:03:02,000 --> 00:03:03,520 Speaker 2: I think you bring up a really good point about 60 00:03:03,520 --> 00:03:05,320 Speaker 2: the stock being up close to forty percent so far 61 00:03:05,360 --> 00:03:07,560 Speaker 2: this year, expectations being high, just with the run up 62 00:03:07,600 --> 00:03:09,160 Speaker 2: that we had last year too. I do want to 63 00:03:09,160 --> 00:03:12,240 Speaker 2: bring in also, Man Deep saying Bloomberg Intelligence senior tech 64 00:03:12,280 --> 00:03:15,079 Speaker 2: industry analysts whose just now looking at the numbers as well. 65 00:03:15,120 --> 00:03:17,440 Speaker 2: Man deep the stock down about nine point six percent 66 00:03:17,560 --> 00:03:20,800 Speaker 2: right now. You set up the call in the print 67 00:03:20,800 --> 00:03:22,639 Speaker 2: in a great way for us earlier on the program. 68 00:03:22,760 --> 00:03:24,360 Speaker 2: Your reaction to the numbers. 69 00:03:24,360 --> 00:03:27,520 Speaker 4: The focus is more on the spending and the guide 70 00:03:27,520 --> 00:03:30,120 Speaker 4: and the fact that they raised the capex guide by 71 00:03:30,160 --> 00:03:33,799 Speaker 4: more than ten percent. I mean, investors are very fearful. 72 00:03:33,840 --> 00:03:37,360 Speaker 4: Whenever this company talks about spending more, I think the 73 00:03:37,400 --> 00:03:38,600 Speaker 4: alarm bells started ringing. 74 00:03:38,640 --> 00:03:40,040 Speaker 2: I heard that somewhere you got to spend money to 75 00:03:40,080 --> 00:03:40,600 Speaker 2: make money. 76 00:03:40,840 --> 00:03:43,880 Speaker 4: Well, so I think in their case, the fact that 77 00:03:43,920 --> 00:03:47,240 Speaker 4: they go so big and you know, in the past 78 00:03:47,280 --> 00:03:51,240 Speaker 4: they haven't cared about what investors think, and it can 79 00:03:51,280 --> 00:03:55,160 Speaker 4: be kind of a difficult scenario for people to imagine 80 00:03:55,200 --> 00:03:57,840 Speaker 4: if the growth were to slow down and they're talking 81 00:03:57,840 --> 00:04:01,040 Speaker 4: about raising capex, raising op x. Is it twenty twenty 82 00:04:01,080 --> 00:04:03,720 Speaker 4: two all over again? And that seems to be the react. 83 00:04:03,880 --> 00:04:06,000 Speaker 1: AD impressions up twenty percent in the quarter compared with 84 00:04:06,040 --> 00:04:08,080 Speaker 1: the same period last year. The average price the platform 85 00:04:08,120 --> 00:04:09,880 Speaker 1: is able to charge per AD is also up six 86 00:04:09,920 --> 00:04:12,280 Speaker 1: percent or Alex Barinka weighing in on this, you know 87 00:04:12,400 --> 00:04:14,440 Speaker 1: this gets to the point with what we talked about earlier, 88 00:04:14,480 --> 00:04:17,480 Speaker 1: Like I get it. Everybody is excited about AI. You 89 00:04:17,560 --> 00:04:19,760 Speaker 1: seem to say that in terms of ad targeting, it 90 00:04:19,880 --> 00:04:22,440 Speaker 1: makes sense in terms of what they're doing. So for 91 00:04:22,600 --> 00:04:25,680 Speaker 1: you who understands this company like no other, like the 92 00:04:25,760 --> 00:04:29,360 Speaker 1: spend makes sense or again it's mandeep a little bit 93 00:04:29,360 --> 00:04:30,159 Speaker 1: of a balance here. 94 00:04:30,240 --> 00:04:32,240 Speaker 4: If they had said, Okay, if we are raising our 95 00:04:32,360 --> 00:04:36,640 Speaker 4: capex and we expect to monetize Lama three, our latest model, 96 00:04:36,680 --> 00:04:38,520 Speaker 4: in this way, then I think it would have been 97 00:04:38,520 --> 00:04:41,440 Speaker 4: a lot more palatable. Right now, the guidance is more 98 00:04:41,480 --> 00:04:44,400 Speaker 4: about we are raising our capex, we are raising our opics, 99 00:04:44,800 --> 00:04:47,760 Speaker 4: and there isn't anything. Maybe we learned that on the call. 100 00:04:48,000 --> 00:04:49,560 Speaker 1: What's the question you would ask. 101 00:04:49,800 --> 00:04:53,599 Speaker 4: How do you plan to monetize generative AI beyond the 102 00:04:53,680 --> 00:04:56,320 Speaker 4: ad targeting? Everyone can see the proof in the ad 103 00:04:56,360 --> 00:04:59,280 Speaker 4: pricing numbers and this quarter was great, but how do 104 00:04:59,440 --> 00:05:03,480 Speaker 4: you go beyond monetizing Jenny I separately, because Meta does 105 00:05:03,560 --> 00:05:06,080 Speaker 4: have an engagement problem. As I was alluding to before, 106 00:05:06,400 --> 00:05:09,520 Speaker 4: The blue app is losing engagement, so you somehow need 107 00:05:09,560 --> 00:05:12,760 Speaker 4: to offset that somewhere else beyond the TikTok band hope 108 00:05:12,920 --> 00:05:14,720 Speaker 4: that everyone thinks he is going to benefit that. 109 00:05:15,160 --> 00:05:17,040 Speaker 2: John Relick, when I see you nodding here when Mandeep 110 00:05:17,120 --> 00:05:20,920 Speaker 2: is talking about Meta's engagement problem, I mean, I don't 111 00:05:20,920 --> 00:05:22,680 Speaker 2: know about you, but at least when it comes to 112 00:05:23,120 --> 00:05:27,560 Speaker 2: the reels function, the TikTok clone in Instagram, I mean, 113 00:05:27,680 --> 00:05:29,320 Speaker 2: sometimes I sit down with that thing and you know, 114 00:05:29,360 --> 00:05:31,160 Speaker 2: suddenly I look up in twenty minutes have passed and 115 00:05:31,240 --> 00:05:33,240 Speaker 2: I'm like, how did I just waste twenty minutes of 116 00:05:33,240 --> 00:05:33,719 Speaker 2: my life with this? 117 00:05:33,800 --> 00:05:37,680 Speaker 3: That happens to pull yourself out. Pull yourself out, Tim 118 00:05:37,680 --> 00:05:41,479 Speaker 3: if you can't look. Mandeep has done some of the 119 00:05:41,520 --> 00:05:45,800 Speaker 3: best work on implementing AI so far, and I think, 120 00:05:45,920 --> 00:05:51,200 Speaker 3: actually we'll have a better conversation once Alphabet reports its results, 121 00:05:51,240 --> 00:05:53,880 Speaker 3: because it was Mandy who said to me, if they 122 00:05:53,920 --> 00:05:56,880 Speaker 3: can prove that their search business is not being impacted 123 00:05:56,920 --> 00:05:59,520 Speaker 3: by all this talk about, you know, chat bots that 124 00:06:00,000 --> 00:06:03,000 Speaker 3: courage people to spend more time on the Facebook platforms, 125 00:06:03,080 --> 00:06:06,680 Speaker 3: on the Meta platforms, well, then maybe Meta will feel 126 00:06:06,720 --> 00:06:09,479 Speaker 3: that they have to appease Wall Street in a bigger way. 127 00:06:09,520 --> 00:06:11,760 Speaker 3: You were talking earlier about Mark Zuckerberg and the T 128 00:06:11,839 --> 00:06:14,159 Speaker 3: shirt in the necklace. I was just thinking back to 129 00:06:14,480 --> 00:06:17,640 Speaker 3: Mark Zuckerberg, you know, giving the suit and tie approach 130 00:06:17,720 --> 00:06:20,040 Speaker 3: to Wall Street when the last quarter it was all 131 00:06:20,080 --> 00:06:23,839 Speaker 3: about cost controls, issuing a dividend, focusing on stock buybacks. 132 00:06:24,200 --> 00:06:26,760 Speaker 3: Historically that has not been the Mark Zuckerberg. We know 133 00:06:26,920 --> 00:06:29,120 Speaker 3: this is. I mean, it's remarkable that these are even 134 00:06:29,120 --> 00:06:32,680 Speaker 3: public companies sometimes when you think about how hungry all 135 00:06:32,720 --> 00:06:36,200 Speaker 3: these tech entrepreneurs are to get the right the next 136 00:06:36,240 --> 00:06:39,440 Speaker 3: story right. So I think that yes, I would agree 137 00:06:39,440 --> 00:06:42,920 Speaker 3: with man Deep, let us know more on the profit 138 00:06:42,960 --> 00:06:46,240 Speaker 3: and lost story around your AI initiatives. But I think 139 00:06:46,240 --> 00:06:49,240 Speaker 3: for Mark Zuckerberg, when the table stakes seems so high 140 00:06:49,400 --> 00:06:52,520 Speaker 3: to all these players in Silicon Valley right now, he's 141 00:06:52,520 --> 00:06:55,800 Speaker 3: probably made a new chess move to say we won 142 00:06:55,920 --> 00:06:58,960 Speaker 3: over Wall Street. Now we got to win the battle 143 00:06:58,960 --> 00:06:59,880 Speaker 3: on the AI front. 144 00:07:00,080 --> 00:07:02,480 Speaker 4: And I would just have one more thing. If they 145 00:07:02,560 --> 00:07:05,640 Speaker 4: really wanted to fund the GENI initiatives, they could have 146 00:07:05,680 --> 00:07:09,440 Speaker 4: said we are curtailing a reality lab spend. In the print, 147 00:07:09,600 --> 00:07:12,880 Speaker 4: it's very obvious he wants to keep spending on reality labs. 148 00:07:12,920 --> 00:07:15,080 Speaker 4: There is no pullback on that front. 149 00:07:15,120 --> 00:07:19,360 Speaker 1: So the CFO, Susan, why is it I forget right? Susan, 150 00:07:19,360 --> 00:07:21,560 Speaker 1: whne am I saying it correctly in the statement talking 151 00:07:21,560 --> 00:07:24,160 Speaker 1: about the metaverse business reality labs. For reality labs, we 152 00:07:24,200 --> 00:07:27,960 Speaker 1: continue to expect operating losses to increase meaningfully year over 153 00:07:28,040 --> 00:07:30,520 Speaker 1: year due to our ongoing product development efforts and our 154 00:07:30,520 --> 00:07:33,480 Speaker 1: investments to further scale our ecosystem. So Mandy, they're not 155 00:07:33,560 --> 00:07:34,240 Speaker 1: scaling back. 156 00:07:34,360 --> 00:07:37,880 Speaker 4: They're not and they want to increase spending on AI, 157 00:07:38,000 --> 00:07:41,920 Speaker 4: which I think investors wouldn't mind given the state of 158 00:07:41,960 --> 00:07:45,480 Speaker 4: generative AI. But you have to see that discipline that 159 00:07:45,520 --> 00:07:48,720 Speaker 4: they have shown in the last eighteen months continue Why 160 00:07:48,800 --> 00:07:52,200 Speaker 4: go back to that twenty twenty two phase where you know, everyone. 161 00:07:52,040 --> 00:07:53,320 Speaker 1: Question we learned how well that worked? 162 00:07:53,400 --> 00:07:53,880 Speaker 4: Right? Well? 163 00:07:53,960 --> 00:07:57,520 Speaker 2: John, I mean there's a difference between investing in AI 164 00:07:57,680 --> 00:08:01,000 Speaker 2: for ad tech and investing in AI for engagement on 165 00:08:01,160 --> 00:08:04,480 Speaker 2: the traditional family of platforms, that family of apps. And 166 00:08:04,520 --> 00:08:07,200 Speaker 2: there's a difference in spending billions of dollars. And I 167 00:08:07,200 --> 00:08:09,400 Speaker 2: think many investors over the last couple of years would 168 00:08:09,440 --> 00:08:13,120 Speaker 2: argue blowing billions of dollars on headsets and trying to 169 00:08:13,120 --> 00:08:16,120 Speaker 2: create a new type of computing platform. 170 00:08:16,800 --> 00:08:20,239 Speaker 3: Very true, very true. But I would say that if 171 00:08:20,520 --> 00:08:26,480 Speaker 3: Mark Zuckerberg has already been very willing to make comments 172 00:08:26,520 --> 00:08:32,320 Speaker 3: on Apple's VR and AR initiatives, and Apple is now 173 00:08:32,320 --> 00:08:34,960 Speaker 3: a story where we're looking for more details on their 174 00:08:35,040 --> 00:08:39,040 Speaker 3: AI strategy. We just don't know where we're going. We 175 00:08:39,120 --> 00:08:42,280 Speaker 3: don't know what form factor will be the dominant one 176 00:08:42,400 --> 00:08:46,079 Speaker 3: in a decade. We don't know exactly what AI strategy 177 00:08:46,160 --> 00:08:49,560 Speaker 3: will be the most successful one. And I think to 178 00:08:50,679 --> 00:08:57,120 Speaker 3: the Reality Labs reality it's that if you don't know, 179 00:08:57,280 --> 00:08:59,320 Speaker 3: and you have the capital that you can commit to 180 00:08:59,360 --> 00:09:02,920 Speaker 3: these things, and you're willing to take, you know, a 181 00:09:02,960 --> 00:09:05,920 Speaker 3: slap on the wrist from from Wall Street so that 182 00:09:06,000 --> 00:09:09,720 Speaker 3: you can keep going down both of these paths, because 183 00:09:09,840 --> 00:09:13,959 Speaker 3: arguably Apple is as well making fresh hardware bets and 184 00:09:14,040 --> 00:09:16,800 Speaker 3: AI bets. I think it just speaks to the fact 185 00:09:16,880 --> 00:09:20,120 Speaker 3: this is a very exciting time after a lot of 186 00:09:20,160 --> 00:09:23,199 Speaker 3: predictability in Silicon Valley for the last decade. 187 00:09:24,120 --> 00:09:27,400 Speaker 1: What's interesting is and we're continuing to see Meta down 188 00:09:27,440 --> 00:09:29,880 Speaker 1: about ten percent eleven percent in the after hours. Pinterest 189 00:09:29,920 --> 00:09:32,320 Speaker 1: is also down about six percent in the after hours. 190 00:09:32,320 --> 00:09:36,320 Speaker 1: We're watching some a two undred fifty billion dollar dollar 191 00:09:36,559 --> 00:09:39,080 Speaker 1: exchange traded funny TAF tracking. The NAIs doc got hit 192 00:09:39,080 --> 00:09:41,520 Speaker 1: in late hours following Meta too so we're seeing it 193 00:09:41,679 --> 00:09:45,000 Speaker 1: kind of dragged down the sector MENTEP. If Meta was 194 00:09:45,000 --> 00:09:48,160 Speaker 1: not up almost forty percent this year, would would maybe 195 00:09:48,360 --> 00:09:49,720 Speaker 1: Wall Street be a little bit more patient. 196 00:09:50,400 --> 00:09:53,959 Speaker 4: I think so, And to an extent, you know, it 197 00:09:54,120 --> 00:09:57,280 Speaker 4: is tied to the fact that stock had done really well. 198 00:09:57,360 --> 00:09:59,400 Speaker 4: But at the same time, I think if they are 199 00:09:59,480 --> 00:10:03,160 Speaker 4: not in raised the capex and the opics view and 200 00:10:03,400 --> 00:10:06,360 Speaker 4: probably not said that they will keep spending on reality laps, 201 00:10:06,720 --> 00:10:09,120 Speaker 4: you wouldn't have seen such a reaction that this is 202 00:10:09,200 --> 00:10:13,600 Speaker 4: more about investors really panicking around Meta, going back to 203 00:10:13,800 --> 00:10:14,520 Speaker 4: you know, they're. 204 00:10:14,320 --> 00:10:16,840 Speaker 2: Always MINDI is the panic warranted. 205 00:10:18,280 --> 00:10:21,760 Speaker 4: Look, I think with the kind of churn you have 206 00:10:21,840 --> 00:10:25,040 Speaker 4: seen with Meta shareholder base. I mean, remember when they 207 00:10:25,080 --> 00:10:27,240 Speaker 4: had the eighty percent draw down, a lot of the 208 00:10:27,320 --> 00:10:30,839 Speaker 4: lot people shareholders just left, They gave up. 209 00:10:30,800 --> 00:10:33,400 Speaker 2: And I thought this was a twenty year turnaround story. 210 00:10:33,640 --> 00:10:37,120 Speaker 4: And now they have new shareholders, which who may not 211 00:10:37,280 --> 00:10:39,280 Speaker 4: have that kind of patience, you know, in terms of 212 00:10:39,320 --> 00:10:41,480 Speaker 4: that long term strategy. So you want to be very 213 00:10:41,480 --> 00:10:44,680 Speaker 4: careful in terms of setting expectations. I think last quarter 214 00:10:44,800 --> 00:10:47,240 Speaker 4: they did the right thing by announcing a buyback, by 215 00:10:47,360 --> 00:10:50,600 Speaker 4: announcing a dividend. Yeah, and they haven't really talked about 216 00:10:50,600 --> 00:10:54,160 Speaker 4: capital allocation much in this release, which is what investors 217 00:10:54,200 --> 00:10:54,679 Speaker 4: wanted to say. 218 00:10:54,920 --> 00:10:56,520 Speaker 1: That's a really good point. The other thing I want 219 00:10:56,520 --> 00:10:58,160 Speaker 1: to say, and John, let's bring you back into this. 220 00:10:58,880 --> 00:11:01,400 Speaker 1: Looking at our live blog, Alex Barinka noting that the 221 00:11:01,400 --> 00:11:06,120 Speaker 1: total number of people using Meta's apps, so we're talking Facebook, Instagram, Whatsappen, threads, 222 00:11:06,280 --> 00:11:08,800 Speaker 1: rising seven percent year overy year to three point twenty 223 00:11:08,840 --> 00:11:12,000 Speaker 1: four billion. I mean, again, when we think about social media, 224 00:11:12,200 --> 00:11:15,160 Speaker 1: these guys really kind of just. 225 00:11:15,240 --> 00:11:17,239 Speaker 2: There's Meta and there's everyone else exactly. 226 00:11:17,440 --> 00:11:20,000 Speaker 1: And so as you know, men Deep was talking earlier like, 227 00:11:20,040 --> 00:11:21,360 Speaker 1: if you're going to do an ad spend, this is 228 00:11:21,440 --> 00:11:23,280 Speaker 1: kind of probably where you're going to go because this 229 00:11:23,320 --> 00:11:25,360 Speaker 1: is where you get the payoff. But I mean there's 230 00:11:25,559 --> 00:11:28,320 Speaker 1: value in that. I mean just putting aside the AD 231 00:11:28,320 --> 00:11:30,920 Speaker 1: spend and stuff that the AdSpend, the marketing spend, the 232 00:11:30,920 --> 00:11:34,920 Speaker 1: CAPEC spend, if you will, I mean that is incredible. 233 00:11:36,280 --> 00:11:39,199 Speaker 3: Yeah, and I think we have had to relearn how 234 00:11:39,200 --> 00:11:43,320 Speaker 3: to evaluate these companies. Meta doesn't get as specific with 235 00:11:43,559 --> 00:11:47,439 Speaker 3: individual platform numbers as they used to. Apple doesn't tell 236 00:11:47,520 --> 00:11:50,520 Speaker 3: us about the number of iPhones they're selling quarter to quarter. 237 00:11:50,840 --> 00:11:53,000 Speaker 3: Netflix just told us they're not going to tell us 238 00:11:53,000 --> 00:11:55,560 Speaker 3: how many subscribers they have in the future, right, which 239 00:11:55,600 --> 00:11:58,920 Speaker 3: means we're talking now about the power of the platform, 240 00:11:59,200 --> 00:12:03,480 Speaker 3: and you are appssolutely right, Carol. The advertising ecosystem around 241 00:12:03,559 --> 00:12:07,360 Speaker 3: the meta properties is extremely robust, and they have proven 242 00:12:07,400 --> 00:12:09,760 Speaker 3: to us that that is hard to break. I do 243 00:12:09,840 --> 00:12:12,120 Speaker 3: have to go back to what Tim said, though, I'm 244 00:12:12,160 --> 00:12:15,360 Speaker 3: still always curious about where the trends are taking us. 245 00:12:15,360 --> 00:12:17,880 Speaker 3: It's been a busy day on the TikTok front as well. 246 00:12:18,480 --> 00:12:22,520 Speaker 3: Without a doubt, if you're Mark Zuckerberg, you are concerned 247 00:12:22,679 --> 00:12:26,559 Speaker 3: about the levels of engagement just in the pure traditional 248 00:12:26,600 --> 00:12:30,120 Speaker 3: social media way of having the hot hand and Instagram 249 00:12:30,520 --> 00:12:34,480 Speaker 3: is getting a bit older. Facebook certainly is already there, 250 00:12:34,960 --> 00:12:40,280 Speaker 3: but breaking that model that they've built is hard to do. 251 00:12:40,800 --> 00:12:44,880 Speaker 3: And maybe that's, you know, if you've got some competition 252 00:12:45,320 --> 00:12:49,679 Speaker 3: on other social media platforms. Maybe that explains to what 253 00:12:49,720 --> 00:12:53,680 Speaker 3: Mandy was talking about earlier, why you need to continue 254 00:12:53,679 --> 00:12:57,600 Speaker 3: to put all that money into the metaverse in reality 255 00:12:57,679 --> 00:13:00,320 Speaker 3: labs part while you're also spending on AI to make 256 00:13:00,360 --> 00:13:03,240 Speaker 3: a more robust platform for your traditional social media channels. 257 00:13:03,280 --> 00:13:05,000 Speaker 2: Aman Deef, I want to give you the last word 258 00:13:05,040 --> 00:13:07,680 Speaker 2: here as you go and get ready to write your reports. 259 00:13:07,760 --> 00:13:09,320 Speaker 1: The headline on that report. 260 00:13:09,040 --> 00:13:12,280 Speaker 2: Reports reports plural later today. I know it's going to 261 00:13:12,320 --> 00:13:14,479 Speaker 2: be a late night for you. What are you thinking. 262 00:13:14,559 --> 00:13:19,040 Speaker 4: Cost discipline going away from meta question mark because you know, 263 00:13:19,160 --> 00:13:22,080 Speaker 4: to me, there's no doubt this company has a scale 264 00:13:22,480 --> 00:13:24,880 Speaker 4: and it's a juggernaut when it comes to digital ads. 265 00:13:25,160 --> 00:13:28,679 Speaker 4: It's just kind of setting the right expectations and sticking 266 00:13:28,679 --> 00:13:31,960 Speaker 4: to that. And we know Mark Zuckerberg can change and 267 00:13:32,160 --> 00:13:34,240 Speaker 4: he can execute like no one else. It's a very 268 00:13:34,320 --> 00:13:38,199 Speaker 4: nimble product team. But when it comes to managing investory expectations, 269 00:13:38,200 --> 00:13:41,480 Speaker 4: it's a different ballgame. And they've shown they can be 270 00:13:41,520 --> 00:13:44,000 Speaker 4: loosed when it comes to the capital allocation side. 271 00:13:44,120 --> 00:13:47,239 Speaker 1: Gosh, I'm just telling you. You're on the live blog. 272 00:13:47,040 --> 00:13:49,600 Speaker 4: Right, Yeah? Did you do that? 273 00:13:50,200 --> 00:13:54,840 Speaker 2: That's amazing. It sounds like they're taken from our conversation 274 00:13:54,920 --> 00:13:56,720 Speaker 2: for the live blog. Everyone check out the live blog. 275 00:13:56,800 --> 00:13:58,559 Speaker 1: Sounds like Zuckerberg needs to put a suit back on 276 00:13:58,640 --> 00:13:59,840 Speaker 1: and take off the rancher coat and silver. 277 00:14:00,360 --> 00:14:03,160 Speaker 2: I mean it's maybe well. Shares down now, Shares down 278 00:14:03,200 --> 00:14:06,800 Speaker 2: now twelve points seventy percent and up in going into 279 00:14:06,800 --> 00:14:07,920 Speaker 2: the print close to forty percent. 280 00:14:08,000 --> 00:14:10,120 Speaker 1: Yeah, so pretty much at its lows. Guys, thank you 281 00:14:10,160 --> 00:14:12,240 Speaker 1: so much, Ben Deep saying we always appreciate it, senior 282 00:14:12,240 --> 00:14:15,080 Speaker 1: tech industrial analysts at Bloomberg Intelligence, and our thanks to 283 00:14:15,559 --> 00:14:18,240 Speaker 1: John Erlichman as well. Always great in terms of his 284 00:14:18,280 --> 00:14:20,000 Speaker 1: insights on this group. He's been following it for a 285 00:14:20,040 --> 00:14:23,600 Speaker 1: long time. Bloomberg News contributor out There in Toronto shares 286 00:14:23,640 --> 00:14:25,520 Speaker 1: a Meta down almost thirteen percent.