1 00:00:01,360 --> 00:00:03,640 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:04,000 --> 00:00:06,760 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:07,000 --> 00:00:10,840 Speaker 1: and sure they definitely can be, but understanding a professionals 4 00:00:10,920 --> 00:00:14,160 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,560 --> 00:00:18,200 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,680 --> 00:00:21,480 Speaker 1: It might seem boring to safe plan and make calculated 7 00:00:21,480 --> 00:00:24,599 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,640 --> 00:00:27,960 Speaker 1: what helps you live or more happily fulfilled life. P 9 00:00:28,080 --> 00:00:32,879 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. Brilliantly 10 00:00:32,960 --> 00:00:35,600 Speaker 1: Boring since eighteen sixty five is a service mark of 11 00:00:35,600 --> 00:00:38,840 Speaker 1: the PNC Financial Service Group, Inc. P and C Bank 12 00:00:39,280 --> 00:00:42,000 Speaker 1: National Association Member FDIC. 13 00:00:44,600 --> 00:00:45,279 Speaker 2: Erness What's Up? 14 00:00:45,360 --> 00:00:47,839 Speaker 1: You ever walk into a small business and everything just 15 00:00:47,960 --> 00:00:51,159 Speaker 1: works like the checkout is fast, the receipts are digital, 16 00:00:51,680 --> 00:00:54,640 Speaker 1: tipping is a breeze, and you're out the door before 17 00:00:54,680 --> 00:00:58,840 Speaker 1: the line even builds. Odds are they're using Square? We 18 00:00:58,960 --> 00:01:01,520 Speaker 1: love supporting business that run on Square because it just 19 00:01:01,560 --> 00:01:04,800 Speaker 1: feels seamless. 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It's not just about payments, it's about 27 00:01:28,200 --> 00:01:30,640 Speaker 1: giving you time back so you can focus on. 28 00:01:30,560 --> 00:01:32,000 Speaker 2: What matters most ready. 29 00:01:32,040 --> 00:01:35,399 Speaker 1: To see how Square can transform your business, visit Square 30 00:01:35,480 --> 00:01:40,160 Speaker 1: dot com backslash, go backslash eyl to learn more. That's 31 00:01:40,200 --> 00:01:45,640 Speaker 1: Square dot com backslash, go backslash eyl. Don't wait, don't hesitate. 32 00:01:45,760 --> 00:01:48,160 Speaker 1: Let's Square handle the back end so you can keep 33 00:01:48,160 --> 00:01:49,400 Speaker 1: pushing your vision forward. 34 00:01:51,680 --> 00:01:56,320 Speaker 3: So that has lost forty five billion dollars on their 35 00:01:56,360 --> 00:02:02,720 Speaker 3: Metaverse division and the stock dropped after their earnings report 36 00:02:02,800 --> 00:02:07,840 Speaker 3: last Thursday. I believe when their guidance so we didn't 37 00:02:07,840 --> 00:02:13,519 Speaker 3: really meet the expectation. Even though their revenue am expectations. 38 00:02:13,520 --> 00:02:14,120 Speaker 2: They're incredible. 39 00:02:14,120 --> 00:02:19,080 Speaker 3: Their revenue outpaced expectations, profits were doubles, but their guidance 40 00:02:20,120 --> 00:02:23,120 Speaker 3: fell short and as a result, it dropped I think 41 00:02:23,160 --> 00:02:27,440 Speaker 3: like fifteen percent. On Friday, they lost two hundred billion 42 00:02:27,440 --> 00:02:31,120 Speaker 3: in market cup. So, okay, Ian, what's your take on this. 43 00:02:31,919 --> 00:02:33,200 Speaker 3: I'm gonna come in listen. 44 00:02:33,240 --> 00:02:33,440 Speaker 2: I know. 45 00:02:33,520 --> 00:02:36,639 Speaker 4: Normally I'm on the other side of his argument. This 46 00:02:36,680 --> 00:02:41,920 Speaker 4: is unfair like for them to have outperformed this well. 47 00:02:42,840 --> 00:02:47,760 Speaker 4: Zuckerberg is still an incredible shape. All offices are on fire. 48 00:02:48,800 --> 00:02:53,639 Speaker 4: Whatsappens doing incredibly well? Instagram is different. Put Sports Illustrated 49 00:02:53,639 --> 00:02:55,400 Speaker 4: out of business. You got all the bikini girls on 50 00:02:55,440 --> 00:02:59,800 Speaker 4: Instagram for free. They are the ultimate competitor, and they 51 00:03:00,040 --> 00:03:03,480 Speaker 4: dropped fifteen percent because they're guiding lower for the next quarter. 52 00:03:04,600 --> 00:03:07,400 Speaker 2: Meanwhile, Dusk and Master was. 53 00:03:07,440 --> 00:03:10,440 Speaker 4: Saying, hey, Tesla may be the new n Ride, and 54 00:03:10,520 --> 00:03:14,480 Speaker 4: they popped after earnings and then pop this morning after 55 00:03:14,520 --> 00:03:17,400 Speaker 4: they get the China deal done, like it's one of 56 00:03:17,400 --> 00:03:18,680 Speaker 4: those in it and I get it. I was talking 57 00:03:18,680 --> 00:03:20,760 Speaker 4: to everyone a red Pandla in stock club about it. 58 00:03:21,480 --> 00:03:24,360 Speaker 4: There was more upside on the Tesla trade at one 59 00:03:24,520 --> 00:03:27,000 Speaker 4: thirty eight one thirty nine than there is the Meta trade. 60 00:03:28,200 --> 00:03:29,919 Speaker 4: But for Teslas, I mean, for a matter to the 61 00:03:30,000 --> 00:03:32,280 Speaker 4: gap down fifteen percent, which I don't remember them ever 62 00:03:32,280 --> 00:03:36,080 Speaker 4: gapping down that much, and earnings, I don't know what 63 00:03:36,120 --> 00:03:39,400 Speaker 4: the analysts were thinking. Like normally I'm banging the table 64 00:03:39,440 --> 00:03:40,640 Speaker 4: on the other side of this argument. 65 00:03:40,640 --> 00:03:42,760 Speaker 2: But when it dropped. I'm like, the fucking happened? 66 00:03:42,800 --> 00:03:46,240 Speaker 4: Like the numbers were great, this appear he was honest, 67 00:03:46,280 --> 00:03:47,760 Speaker 4: and what's gonna happen next quarter? 68 00:03:48,080 --> 00:03:50,000 Speaker 2: And as a result, they fall fifteen percent? 69 00:03:50,680 --> 00:03:52,880 Speaker 1: But there's a keyer point. There's a key a point, 70 00:03:53,040 --> 00:03:54,800 Speaker 1: So like I think I text you, I think I 71 00:03:54,880 --> 00:03:57,600 Speaker 1: text you after Tesla and I'm like, yeah, makes sense 72 00:03:57,600 --> 00:03:59,760 Speaker 1: of it because we got to explain the why, and 73 00:03:59,800 --> 00:04:02,080 Speaker 1: so I had to dig really deep in the research 74 00:04:02,120 --> 00:04:04,200 Speaker 1: to figure out, like, all right, fifteen percent is crazy 75 00:04:04,280 --> 00:04:07,640 Speaker 1: and meta. Over the past few years, we've seen historic drops, right, 76 00:04:07,720 --> 00:04:09,160 Speaker 1: like they had the large decline in. 77 00:04:09,160 --> 00:04:11,480 Speaker 2: History, but they've also had the largest appreciation history. 78 00:04:11,720 --> 00:04:15,000 Speaker 1: This fifteen percent, this is when the honesty part of 79 00:04:15,080 --> 00:04:17,880 Speaker 1: being a CEO and a leader actually backfired for him. 80 00:04:18,000 --> 00:04:21,360 Speaker 1: But yes, it may it made sense why so yes, 81 00:04:21,480 --> 00:04:24,679 Speaker 1: the numbers doubling, profits, revenues is up twenty seven percent. 82 00:04:24,880 --> 00:04:28,359 Speaker 2: They actually increased their average ad price by six. 83 00:04:28,200 --> 00:04:30,440 Speaker 1: Percent, so they see more people put it as they 84 00:04:30,560 --> 00:04:33,960 Speaker 1: raise the prices on those the weak guidance was cast 85 00:04:34,040 --> 00:04:36,680 Speaker 1: for it. But what he admitted to is that they're 86 00:04:36,680 --> 00:04:39,080 Speaker 1: going to have to increase the spending in AI. They 87 00:04:39,120 --> 00:04:40,840 Speaker 1: want to be the leaders in it. They want to 88 00:04:40,880 --> 00:04:42,560 Speaker 1: have the infrastructure for it, they want to have the 89 00:04:42,600 --> 00:04:44,760 Speaker 1: platform for it, they want to be the innovators in it. 90 00:04:45,120 --> 00:04:46,640 Speaker 1: So you would think that would be a good time. 91 00:04:47,080 --> 00:04:49,720 Speaker 1: I want to get leaded behind. On the surface, it 92 00:04:49,800 --> 00:04:51,920 Speaker 1: is a good sign, so that increase. I think he 93 00:04:51,960 --> 00:04:54,520 Speaker 1: said up to ten billion a year in the AI spending, 94 00:04:55,000 --> 00:04:57,680 Speaker 1: which is a futuristic technology. 95 00:04:57,760 --> 00:05:01,200 Speaker 2: Correct, yes, So then we have to peel back the layers. 96 00:05:01,760 --> 00:05:05,600 Speaker 1: How much money or what was the last futuristic innovation 97 00:05:05,680 --> 00:05:07,080 Speaker 1: that they said they were going to spend money on. 98 00:05:07,800 --> 00:05:10,080 Speaker 4: I get it the metaverse. I've waived that flag loud 99 00:05:10,080 --> 00:05:12,320 Speaker 4: and clear. But guess what when you have market makers, 100 00:05:12,640 --> 00:05:13,239 Speaker 4: how much. 101 00:05:13,080 --> 00:05:15,679 Speaker 2: Did it lose? Quadrullions? 102 00:05:17,360 --> 00:05:20,520 Speaker 1: It was a lot, a fifty billion dollar futuristic innovation 103 00:05:20,680 --> 00:05:23,560 Speaker 1: that didn't pan out. You're now telling investors we're going 104 00:05:23,600 --> 00:05:25,600 Speaker 1: to spend more on a futuristic now we know that 105 00:05:25,640 --> 00:05:29,160 Speaker 1: this has a use case, right, which should be since 106 00:05:29,240 --> 00:05:31,920 Speaker 1: the future literally we can see it like we've see 107 00:05:31,960 --> 00:05:34,280 Speaker 1: it now, we're using it now, it has cuse. So 108 00:05:34,320 --> 00:05:36,240 Speaker 1: there was there were some paws in that, right. People 109 00:05:36,240 --> 00:05:38,880 Speaker 1: are looking like, well, they're going to spend more, We're 110 00:05:38,880 --> 00:05:41,120 Speaker 1: not gonna be able to recruit it, and Zuckerber said, 111 00:05:41,279 --> 00:05:43,039 Speaker 1: we're not going to be able to see profits from 112 00:05:43,040 --> 00:05:45,119 Speaker 1: the spending until maybe twenty twenty seven. 113 00:05:45,680 --> 00:05:46,440 Speaker 2: And so now you're. 114 00:05:46,279 --> 00:05:50,159 Speaker 1: Telling investors futuristic innovation, we're going to put more capital 115 00:05:50,160 --> 00:05:52,640 Speaker 1: into it. People have seen it over the past three years, 116 00:05:52,680 --> 00:05:55,760 Speaker 1: the future innovation they lost money in as an investor 117 00:05:56,760 --> 00:05:57,440 Speaker 1: fifty percent. 118 00:05:57,600 --> 00:05:58,679 Speaker 2: I mean, it doesn't make sense. 119 00:05:58,520 --> 00:06:01,600 Speaker 1: But those are some of the is that I fear, yeah, 120 00:06:01,800 --> 00:06:05,840 Speaker 1: that look, that's that that that slight fear of investigato 121 00:06:05,839 --> 00:06:07,440 Speaker 1: the future again and what if it doesn't work? 122 00:06:08,240 --> 00:06:11,599 Speaker 4: The different main differences between Metaverse and this spend is 123 00:06:11,640 --> 00:06:15,000 Speaker 4: that Meta wasn't a hardware company, per se, and no 124 00:06:15,040 --> 00:06:18,320 Speaker 4: one wanted the glasses. The AI move is in play 125 00:06:18,720 --> 00:06:23,440 Speaker 4: by Apple, Microsoft, Cisco, and Video Intel if you want 126 00:06:23,480 --> 00:06:25,640 Speaker 4: to throw them in the race. So there's already a 127 00:06:25,760 --> 00:06:28,760 Speaker 4: market for it. Then if you look at the gross 128 00:06:28,800 --> 00:06:32,080 Speaker 4: margins eighty percent, the Meta AI isn't bad. 129 00:06:32,160 --> 00:06:35,120 Speaker 2: And they also made the operating system for. 130 00:06:36,760 --> 00:06:39,760 Speaker 4: Their glasses open source, which I think was a brilliant 131 00:06:39,800 --> 00:06:42,680 Speaker 4: move to be able to have something open source in 132 00:06:42,720 --> 00:06:46,920 Speaker 4: an era where like Apple is too closed to let 133 00:06:47,000 --> 00:06:50,599 Speaker 4: developers develop on that platform. And of course because they're 134 00:06:50,640 --> 00:06:52,479 Speaker 4: not in the lead and that they're letting that be 135 00:06:52,560 --> 00:06:54,600 Speaker 4: open source. But I think they made a lot of 136 00:06:54,600 --> 00:06:57,720 Speaker 4: great moves these last two quarters. I think that that's 137 00:06:57,800 --> 00:06:59,040 Speaker 4: kind of like being like, well, I'm not going to 138 00:06:59,120 --> 00:07:00,880 Speaker 4: listen to Ian because you call square, what about the 139 00:07:00,880 --> 00:07:04,560 Speaker 4: fifteen hundred other great things? I'll call right Like, he 140 00:07:04,640 --> 00:07:06,800 Speaker 4: got that one thing wrong and I was the main 141 00:07:06,880 --> 00:07:10,760 Speaker 4: one wave in that flag. But if you look at Instagram, 142 00:07:10,920 --> 00:07:13,320 Speaker 4: even Messenger, the amount of uses they have on Messenger, 143 00:07:13,400 --> 00:07:17,240 Speaker 4: Facebook is still moving for the older crowd. I think 144 00:07:17,240 --> 00:07:19,440 Speaker 4: he's doing a hell of a job running that organization, 145 00:07:21,000 --> 00:07:22,840 Speaker 4: and in profits will higher. I like that the profit 146 00:07:22,880 --> 00:07:25,160 Speaker 4: margins twenty percent, gross margin is eighty. 147 00:07:26,160 --> 00:07:29,360 Speaker 2: You can't yeah, you can't argue with that. So I 148 00:07:29,400 --> 00:07:31,960 Speaker 2: think it was a mistake. And it's had a tremendous run. 149 00:07:32,640 --> 00:07:36,280 Speaker 1: So even with the fifteen percent pullback that the run 150 00:07:36,320 --> 00:07:37,680 Speaker 1: that has had over the past. 151 00:07:37,440 --> 00:07:40,200 Speaker 2: Two quarters has been incredible. Yea, So people who have 152 00:07:40,480 --> 00:07:41,880 Speaker 2: some profit take Yeah. 153 00:07:41,880 --> 00:07:43,680 Speaker 1: So if you've been in the stock since it was 154 00:07:43,720 --> 00:07:46,720 Speaker 1: down in the one hundreds one sixties, and you've wrote 155 00:07:46,760 --> 00:07:49,160 Speaker 1: this thing all the way up to four hundred four fifty, 156 00:07:49,840 --> 00:07:55,480 Speaker 1: fifteen percent pull back. Yeah, okay, a slight correction that 157 00:07:55,640 --> 00:07:56,320 Speaker 1: makes sense of it. 158 00:07:57,800 --> 00:08:02,720 Speaker 3: Yeah, well I spoke to it in cider. Are you 159 00:08:02,720 --> 00:08:03,240 Speaker 3: telling me this? 160 00:08:03,360 --> 00:08:04,600 Speaker 2: Yeah? Yeah, Anonymous. 161 00:08:04,640 --> 00:08:08,640 Speaker 3: So so I'll share what he had to say about 162 00:08:08,880 --> 00:08:11,880 Speaker 3: right after the earnings came out and it was crashing, 163 00:08:11,960 --> 00:08:15,679 Speaker 3: and he said revenue was up by twenty seven percent. 164 00:08:16,040 --> 00:08:21,240 Speaker 3: We're increasing cap x for artificial intelligence, and the same 165 00:08:21,520 --> 00:08:26,080 Speaker 3: risks that always persisted are there. Q one results are 166 00:08:26,280 --> 00:08:31,520 Speaker 3: instantly positive, especially with twenty seven percent year over year 167 00:08:31,600 --> 00:08:36,720 Speaker 3: growth in revenue. Market is over reacting at the moment. 168 00:08:37,440 --> 00:08:40,400 Speaker 3: I agree with that he said what we just said. 169 00:08:40,600 --> 00:08:42,839 Speaker 3: But yeah, I think it's interesting the kind of hair 170 00:08:43,000 --> 00:08:45,800 Speaker 3: from I mean that that even confirms, like kind of 171 00:08:45,800 --> 00:08:47,880 Speaker 3: what we just said, like perfect if there's an insight 172 00:08:47,920 --> 00:08:49,839 Speaker 3: who was saying the same exact thing I think this 173 00:08:49,920 --> 00:08:54,960 Speaker 3: is about. I think the CFO might be to blame too, 174 00:08:55,000 --> 00:08:59,480 Speaker 3: because she gave a very pessimistic outlook in her in 175 00:08:59,480 --> 00:09:04,440 Speaker 3: the guidance. So that's interesting. While she would do that, 176 00:09:04,559 --> 00:09:10,080 Speaker 3: I'm not sure, but I think that she. I don't 177 00:09:10,120 --> 00:09:17,080 Speaker 3: think her guidance report was something that they probably were 178 00:09:17,120 --> 00:09:19,640 Speaker 3: happy about, or maybe they wanted to stock to go 179 00:09:19,679 --> 00:09:22,439 Speaker 3: down so they could buy more who knows, but she 180 00:09:22,679 --> 00:09:27,559 Speaker 3: the CFO gave a very pessimistic guidance. 181 00:09:27,240 --> 00:09:30,040 Speaker 1: Outlook for the second quarter, right, Yeah, and so it 182 00:09:30,080 --> 00:09:31,880 Speaker 1: wasn't even a full guidance for the entire year. 183 00:09:32,360 --> 00:09:34,080 Speaker 2: So I mean take that with a grain of salt. 184 00:09:34,160 --> 00:09:37,320 Speaker 1: But medis here to stay, not going anywhere. 185 00:09:37,559 --> 00:09:39,840 Speaker 4: Yeah, and we got to reward seeos. To be honest, 186 00:09:41,440 --> 00:09:43,080 Speaker 4: I'm not going to continue rail on Elion. 187 00:09:43,880 --> 00:09:56,120 Speaker 2: But yeah, but Jesus Christ children, but the children. 188 00:09:56,559 --> 00:09:59,600 Speaker 4: He hasn't delivered on some promises, the mouse per gallon 189 00:09:59,679 --> 00:10:04,120 Speaker 4: that the carr can get at best. I think Dustin 190 00:10:04,120 --> 00:10:05,920 Speaker 4: went a little bit far calling at the new airon, 191 00:10:06,000 --> 00:10:08,280 Speaker 4: but math is not mathing. 192 00:10:08,440 --> 00:10:12,079 Speaker 5: An illegal alien from Guatemala charged with raping a child 193 00:10:12,120 --> 00:10:15,920 Speaker 5: in Massachusetts. An MS thirteen gang member from Al Salvador 194 00:10:16,160 --> 00:10:20,280 Speaker 5: accused of murdering a Texas man of Venezuelan charged with 195 00:10:20,360 --> 00:10:24,240 Speaker 5: filming and selling child pornography in Michigan. 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