1 00:00:05,920 --> 00:00:08,039 Speaker 1: Welcome to Fear and Greed Q and A where we 2 00:00:08,039 --> 00:00:11,840 Speaker 1: ask an answer questions about business, investing, economics, politics, and more. 3 00:00:11,840 --> 00:00:15,760 Speaker 1: I'm Michael Thompson and today Larry Ellison last week became 4 00:00:15,880 --> 00:00:18,600 Speaker 1: the richest person in the world. It was only very 5 00:00:18,640 --> 00:00:22,439 Speaker 1: brief before Elon Musk regained the top spot. Now we 6 00:00:22,480 --> 00:00:24,840 Speaker 1: obviously know a lot about the companies behind the world's 7 00:00:24,920 --> 00:00:28,000 Speaker 1: richest people Elon Musk and Tesla, Jeff Bezos and Amazon, 8 00:00:28,040 --> 00:00:32,520 Speaker 1: Bill Gates and Microsoft. Larry Ellison's Oracle has been around 9 00:00:32,520 --> 00:00:35,239 Speaker 1: for decades, but it isn't exactly the household name that 10 00:00:35,240 --> 00:00:37,239 Speaker 1: the others are. So today we're going to find out 11 00:00:37,280 --> 00:00:40,080 Speaker 1: the Oracle story. White share price shot up forty three 12 00:00:40,120 --> 00:00:43,600 Speaker 1: percent in just one day, adding one hundred billion US 13 00:00:43,640 --> 00:00:47,000 Speaker 1: dollars to its founder's wealth. Remember this is general information only. 14 00:00:47,000 --> 00:00:50,240 Speaker 1: You should seek advice before making investment decisions. Josh Gilbert 15 00:00:50,280 --> 00:00:53,400 Speaker 1: is a market analyst at e Toro. Josh, Welcome back 16 00:00:53,400 --> 00:00:54,400 Speaker 1: to Fear and Greed. 17 00:00:54,240 --> 00:00:55,880 Speaker 2: Q and A. Thanks having me about Michael. 18 00:00:55,920 --> 00:00:57,080 Speaker 1: How are we going? 19 00:00:57,120 --> 00:00:57,360 Speaker 2: Well? 20 00:00:57,480 --> 00:00:59,760 Speaker 1: This is a great story, isn't it, Because Oracle is 21 00:00:59,760 --> 00:01:02,640 Speaker 1: one of those companies that has it has been around 22 00:01:02,680 --> 00:01:06,640 Speaker 1: forever and then it just blasted into the headlines last week. 23 00:01:07,120 --> 00:01:10,840 Speaker 1: Let's start with basically the background, the nuts and bolts, 24 00:01:10,920 --> 00:01:12,559 Speaker 1: what Oracle actually does. 25 00:01:12,959 --> 00:01:15,120 Speaker 2: Yeah, I think I'm trying to think how to explain 26 00:01:15,160 --> 00:01:16,920 Speaker 2: this in the simplest way, right because when we think 27 00:01:16,920 --> 00:01:20,679 Speaker 2: about tech companies sometimes it can you know, almost alienate people. 28 00:01:20,720 --> 00:01:23,920 Speaker 2: But they sort of specialize in database software and sort 29 00:01:23,920 --> 00:01:27,399 Speaker 2: of cloud services for businesses. I think the easiest way 30 00:01:27,440 --> 00:01:29,920 Speaker 2: to explain it is to think about like a secure 31 00:01:30,040 --> 00:01:34,360 Speaker 2: digital filing cabinet where you know, these big businesses, airlines, banks, hospitals, 32 00:01:34,360 --> 00:01:37,080 Speaker 2: et cetera sort of store all of their critical information. 33 00:01:37,440 --> 00:01:40,399 Speaker 2: It's almost like the engine room of a business. So 34 00:01:40,520 --> 00:01:43,880 Speaker 2: it's not consumer facing like your apples, your Googles, or 35 00:01:43,920 --> 00:01:46,679 Speaker 2: even Meta for example. It's sort of the behind the 36 00:01:46,720 --> 00:01:51,040 Speaker 2: scenes backbone for organization to host applications and data and 37 00:01:51,360 --> 00:01:54,360 Speaker 2: all on its own cloud platform, which we'll probably mention 38 00:01:54,400 --> 00:01:56,160 Speaker 2: the word cloud quite a lot, I'd imagine. 39 00:01:56,800 --> 00:02:00,600 Speaker 1: Yeah, And that's clearly then evolved significant cur over a 40 00:02:00,600 --> 00:02:03,120 Speaker 1: long period of time because it was founded in the seventies, 41 00:02:03,360 --> 00:02:06,680 Speaker 1: wasn't it, And then I mean the cloud certainly wasn't 42 00:02:06,680 --> 00:02:10,679 Speaker 1: around back then, and so it has evolved enormously over 43 00:02:10,720 --> 00:02:11,200 Speaker 1: that time. 44 00:02:11,320 --> 00:02:13,080 Speaker 2: Yeah, and it's interesting you mentioned that because they were 45 00:02:13,080 --> 00:02:16,480 Speaker 2: actually a little bit late to the cloud party. You know. Again, 46 00:02:16,720 --> 00:02:19,320 Speaker 2: a business has been around for sort of years, as 47 00:02:19,360 --> 00:02:21,799 Speaker 2: I say, made its name for sort of database software, 48 00:02:22,200 --> 00:02:24,360 Speaker 2: but you've got to sort of reinvent yourself in the 49 00:02:24,400 --> 00:02:26,119 Speaker 2: tech world. A big part of why it is still 50 00:02:26,120 --> 00:02:29,200 Speaker 2: where it is today is through acquisitions. So over the 51 00:02:29,280 --> 00:02:31,919 Speaker 2: years it snapped up some big companies. A big one 52 00:02:31,960 --> 00:02:35,840 Speaker 2: was Sun Microsystems, so that gave Oracle control of Java. 53 00:02:36,120 --> 00:02:37,760 Speaker 2: Might have been, you know, something that we've heard of 54 00:02:37,800 --> 00:02:40,720 Speaker 2: a lot before. And also net Suite, a big, big 55 00:02:40,800 --> 00:02:42,640 Speaker 2: name player in cloud. But as I say, a bit 56 00:02:42,720 --> 00:02:45,519 Speaker 2: late to the cloud party. Amazon, Google and Microsoft. They're 57 00:02:45,520 --> 00:02:48,120 Speaker 2: the dominant players in cloud and got their early stole 58 00:02:48,160 --> 00:02:51,680 Speaker 2: lot of the market share, but they have slowly ticked 59 00:02:51,680 --> 00:02:55,200 Speaker 2: along with its sort of database and software businesses, and 60 00:02:55,240 --> 00:02:57,560 Speaker 2: I think that has helped them lay the groundwork for 61 00:02:57,600 --> 00:03:00,320 Speaker 2: this sort of push into cloud computing. That sort of 62 00:03:00,400 --> 00:03:02,880 Speaker 2: knowing it for now. And we're obviously seeing that huge 63 00:03:02,880 --> 00:03:06,760 Speaker 2: demand for AI and that means companies need massive computing power. 64 00:03:07,320 --> 00:03:10,360 Speaker 2: So Oracle itself has got a great relationship with Nvideo. 65 00:03:10,520 --> 00:03:14,320 Speaker 2: Larry Ellison, you know, the founder and co CEO. He's 66 00:03:14,560 --> 00:03:16,800 Speaker 2: you know, got a really really good track record of 67 00:03:16,800 --> 00:03:19,520 Speaker 2: making great relationships in business, and then video is obviously 68 00:03:19,600 --> 00:03:21,799 Speaker 2: one of them. So it's got access to the chips 69 00:03:21,840 --> 00:03:26,760 Speaker 2: necessary to sort of power the hungriness of AI these days. 70 00:03:26,760 --> 00:03:30,920 Speaker 2: So exactly, Osmond, it's built itself and positioned itself for 71 00:03:31,040 --> 00:03:33,919 Speaker 2: high performance computing, which is where we are today. 72 00:03:34,040 --> 00:03:35,600 Speaker 1: And it's interesting then that you said that it was 73 00:03:35,600 --> 00:03:37,320 Speaker 1: a little bit late to the party. It felt like 74 00:03:38,440 --> 00:03:40,840 Speaker 1: maybe it caught up a bit last week. What was 75 00:03:40,960 --> 00:03:44,680 Speaker 1: last week? That that was some earnings results and clearly 76 00:03:44,840 --> 00:03:46,440 Speaker 1: the market loved what they heard. 77 00:03:46,680 --> 00:03:50,000 Speaker 2: Yeah, look, it's actually interesting because the earning results actually 78 00:03:50,000 --> 00:03:52,680 Speaker 2: missed estimates. So that was the sort of first point. 79 00:03:52,680 --> 00:03:55,520 Speaker 2: But it comes down to showing how much focus goes 80 00:03:55,560 --> 00:03:59,960 Speaker 2: on to sort of guidance and and sort of future commentary. Right, share, 81 00:04:00,080 --> 00:04:01,880 Speaker 2: as you said, jumped over forty percent in one day. 82 00:04:01,920 --> 00:04:04,360 Speaker 2: It's best day in over sort of thirty years, and 83 00:04:04,440 --> 00:04:08,480 Speaker 2: the trigger came from this sort of new cloud deals 84 00:04:08,520 --> 00:04:12,400 Speaker 2: in AI space, secured massive cloud contracts with Google and 85 00:04:12,480 --> 00:04:15,960 Speaker 2: open AI. AI is obviously the creator of chat GPT 86 00:04:16,680 --> 00:04:19,520 Speaker 2: and that is a massive contract Open AI set to 87 00:04:19,560 --> 00:04:22,440 Speaker 2: buy over three hundred billion dollars worth of cloud computing 88 00:04:22,880 --> 00:04:25,200 Speaker 2: from Oracle over the next five years, and that's one 89 00:04:25,200 --> 00:04:28,000 Speaker 2: of the biggest cloud deals we've ever seen. And that 90 00:04:28,040 --> 00:04:30,760 Speaker 2: then translates into and I'm going to say this with 91 00:04:31,520 --> 00:04:34,680 Speaker 2: you know, verted commas here potentially huge growth. You know, 92 00:04:34,720 --> 00:04:37,040 Speaker 2: they said they expect one hundred and forty four billion 93 00:04:37,080 --> 00:04:41,080 Speaker 2: dollars in cloud infrastructure revenue by twenty thirty the fiscal 94 00:04:41,200 --> 00:04:44,719 Speaker 2: year for context. That's up from ten point three billion 95 00:04:45,120 --> 00:04:47,240 Speaker 2: that was in fiscal twenty twenty five, that's the year 96 00:04:47,279 --> 00:04:50,360 Speaker 2: they've just finished. So huge, huge growth over a five 97 00:04:50,440 --> 00:04:52,760 Speaker 2: year window. But it comes, as we say, is there's 98 00:04:52,760 --> 00:04:56,480 Speaker 2: this race to secure computing power and it's basically put 99 00:04:56,520 --> 00:04:57,840 Speaker 2: them on the map as a bit of a core 100 00:04:57,880 --> 00:04:59,080 Speaker 2: player now in the AI race. 101 00:05:00,040 --> 00:05:01,280 Speaker 1: Canna continue in that? 102 00:05:01,279 --> 00:05:01,559 Speaker 2: Okay? 103 00:05:01,560 --> 00:05:04,000 Speaker 1: So I mean and these are huge numbers that we're 104 00:05:04,000 --> 00:05:05,800 Speaker 1: talking about, and as you say, they've got a very 105 00:05:06,240 --> 00:05:11,680 Speaker 1: type relationship between Nvideo and Oracle Open Ai obviously major 106 00:05:11,839 --> 00:05:15,039 Speaker 1: major customer. Then as well, there is a lot going 107 00:05:15,080 --> 00:05:17,400 Speaker 1: on between all of these companies. How much is are 108 00:05:17,400 --> 00:05:20,200 Speaker 1: just getting inflated? Is there a risk that this is 109 00:05:20,240 --> 00:05:22,000 Speaker 1: all a bubble? And I know that's a big question 110 00:05:22,040 --> 00:05:23,160 Speaker 1: for you to answer right now. 111 00:05:23,360 --> 00:05:25,640 Speaker 2: I think, look from a perspective of what I said, 112 00:05:25,640 --> 00:05:27,880 Speaker 2: there are the inverted commers. I think it depends on 113 00:05:27,920 --> 00:05:30,640 Speaker 2: whether they can capitalize on this AI driven demand because 114 00:05:30,680 --> 00:05:33,960 Speaker 2: management is very optimistic. They've given those huge forecasts, but 115 00:05:34,320 --> 00:05:36,120 Speaker 2: you know, they've also said this is just the beginning. 116 00:05:36,120 --> 00:05:38,279 Speaker 2: There's more to come, hinting at sort of a huge 117 00:05:38,360 --> 00:05:42,000 Speaker 2: order backlog. As well. They're involved into massive projects, you know, 118 00:05:42,760 --> 00:05:45,599 Speaker 2: the biggest one soft bank, the Stargate Initiative, initiative, a 119 00:05:45,640 --> 00:05:48,920 Speaker 2: massive AI infrastructure project, so when they're in there, they're 120 00:05:48,960 --> 00:05:51,160 Speaker 2: part of you know, this picks and shovels of the 121 00:05:51,240 --> 00:05:55,080 Speaker 2: AI race. So from that perspective, there's real substance behind 122 00:05:55,080 --> 00:05:59,040 Speaker 2: this move higher because those contracts can translate into huge 123 00:05:59,080 --> 00:06:02,880 Speaker 2: earnings growth. At the same time, building all that infrastructure 124 00:06:02,960 --> 00:06:05,080 Speaker 2: is very expensive as well, so we're going to see 125 00:06:05,120 --> 00:06:09,040 Speaker 2: capital expenditure rise. Also, what I would say is there 126 00:06:09,040 --> 00:06:10,839 Speaker 2: is always that level of caution right when we do 127 00:06:10,920 --> 00:06:13,440 Speaker 2: see that stock mover as high as it essentially has, 128 00:06:13,800 --> 00:06:16,520 Speaker 2: especially on promises, because as I say, it missed revenue 129 00:06:16,520 --> 00:06:19,760 Speaker 2: and earning's estimates this quarter. You know, You've got to 130 00:06:19,800 --> 00:06:23,119 Speaker 2: think of it as those expectations are now sky high. 131 00:06:23,240 --> 00:06:25,400 Speaker 2: So if the AI demand doesn't grow as fast as 132 00:06:25,440 --> 00:06:29,400 Speaker 2: maybe anticipated, or those competitors Amazon, Microsoft, Google, they fight 133 00:06:29,440 --> 00:06:31,440 Speaker 2: back and win some of those cloud deals, you know, 134 00:06:31,440 --> 00:06:33,880 Speaker 2: it could disappoint. But I think, to be clear, I 135 00:06:33,880 --> 00:06:36,880 Speaker 2: think the AI demand is going to continue. Right. This 136 00:06:37,160 --> 00:06:40,200 Speaker 2: is the biggest technology revolution we've seen in decades, So 137 00:06:40,240 --> 00:06:42,800 Speaker 2: I don't think it's a bubble at all, and we 138 00:06:42,839 --> 00:06:46,560 Speaker 2: aren't seeing its valuation at anything ridiculously crazy. So the 139 00:06:46,720 --> 00:06:49,680 Speaker 2: risk here, though, is just execution. If they don't execute, 140 00:06:49,680 --> 00:06:52,160 Speaker 2: then that's when you know shares will come under pressure. 141 00:06:52,600 --> 00:06:56,840 Speaker 1: What about another risk you did mention before about Larry Ellison, 142 00:06:57,480 --> 00:07:00,799 Speaker 1: who has been very good over a very long period 143 00:07:00,839 --> 00:07:04,919 Speaker 1: of time at developing great relationships. He is the co founder, 144 00:07:05,000 --> 00:07:07,279 Speaker 1: he is the co CEO, the chair of the business. 145 00:07:07,320 --> 00:07:11,080 Speaker 1: He's also eighty one years old. How much of Oracle's 146 00:07:11,080 --> 00:07:13,920 Speaker 1: success and its future is tied to him? 147 00:07:14,320 --> 00:07:16,720 Speaker 2: Yeah, I think it's hard to separate him from Oracle. 148 00:07:16,880 --> 00:07:19,120 Speaker 2: You know, big driving force behind the company since day one, 149 00:07:19,160 --> 00:07:20,600 Speaker 2: and I think it's a little bit like how we 150 00:07:20,640 --> 00:07:23,080 Speaker 2: think of the story of Tesla and Musk these days. 151 00:07:23,640 --> 00:07:26,040 Speaker 2: Interesting He's got actually a very good relationship with Elon Musk, 152 00:07:26,080 --> 00:07:28,720 Speaker 2: but he's sort of known as the maverick. He you know, 153 00:07:28,760 --> 00:07:30,760 Speaker 2: this latest pivot to AI is sort of something that 154 00:07:30,800 --> 00:07:33,440 Speaker 2: he's driven. He's been the one pushing for the massive 155 00:07:33,440 --> 00:07:37,280 Speaker 2: investments in data centers and cloud infrastructure, and I think 156 00:07:37,320 --> 00:07:39,560 Speaker 2: the fact he's still so hands on and driving these 157 00:07:39,560 --> 00:07:41,880 Speaker 2: deal shows he's a huge part of the story. He 158 00:07:41,920 --> 00:07:44,360 Speaker 2: also owns still about forty percent of the stock, so 159 00:07:44,960 --> 00:07:47,080 Speaker 2: you know, his wealth and that incentive to keep the 160 00:07:47,120 --> 00:07:49,840 Speaker 2: company successful is is sort of tied to you know, 161 00:07:49,840 --> 00:07:52,160 Speaker 2: Oracle's performance, as we say, went to sort of become 162 00:07:52,200 --> 00:07:54,960 Speaker 2: the richest man for a little period there. So I 163 00:07:55,000 --> 00:07:58,480 Speaker 2: think that there is a co CEO, there, Saffrakats, and 164 00:07:58,600 --> 00:08:02,280 Speaker 2: ultimately the day to day operations don't necessarily rely on 165 00:08:02,960 --> 00:08:05,400 Speaker 2: Larry Ellison alone, but there is no doubt that his 166 00:08:05,480 --> 00:08:09,000 Speaker 2: success is strongly linked to the you know, his leadership 167 00:08:09,040 --> 00:08:11,000 Speaker 2: and his legacy. But I think what they're doing now 168 00:08:11,080 --> 00:08:13,600 Speaker 2: is they are building that framework to you know, ultimately 169 00:08:13,640 --> 00:08:15,360 Speaker 2: have a legacy plan in place, you know, due to 170 00:08:15,400 --> 00:08:17,400 Speaker 2: sort of his age, so there is all that always 171 00:08:17,400 --> 00:08:19,440 Speaker 2: that risk, but I think they're laying the foundations and 172 00:08:19,480 --> 00:08:22,640 Speaker 2: the groundwork to sort of have something, you know, bigger, 173 00:08:22,760 --> 00:08:25,240 Speaker 2: you know, past Larry Ellison's sort of legacy really here, 174 00:08:25,280 --> 00:08:26,880 Speaker 2: but yeah, he has been a real key part of 175 00:08:26,920 --> 00:08:27,600 Speaker 2: their success. 176 00:08:28,000 --> 00:08:31,239 Speaker 1: Where does it sit it then, compared to the Magnificent Seven? 177 00:08:31,360 --> 00:08:35,920 Speaker 1: Obviously Oracle is a bit smaller than the smallest of 178 00:08:36,200 --> 00:08:38,920 Speaker 1: the Magnificent Seven being Tesla. But is there a chance 179 00:08:38,920 --> 00:08:41,320 Speaker 1: that we could end up being talking about the Great Eight? 180 00:08:42,160 --> 00:08:44,520 Speaker 2: Yeah, potentially we change, right. We used to call them 181 00:08:44,520 --> 00:08:46,760 Speaker 2: the fang Stocks, and that had Netflix included in there, 182 00:08:47,240 --> 00:08:49,560 Speaker 2: so it's changed over the years. I think the biggest 183 00:08:49,559 --> 00:08:51,520 Speaker 2: thing is it's not a household name, right If you 184 00:08:51,600 --> 00:08:54,400 Speaker 2: ask most people, they'd probably know most of the mag seven. 185 00:08:54,679 --> 00:08:56,600 Speaker 2: Not everyone will probably know Hi Video, but we probably 186 00:08:56,600 --> 00:08:59,400 Speaker 2: know the rest. Oracle just isn't a household name. But 187 00:08:59,480 --> 00:09:02,520 Speaker 2: in the enter as well a Titan. They are outperforming 188 00:09:02,520 --> 00:09:04,600 Speaker 2: the mag seven this year. It's up over eighty percent. 189 00:09:05,040 --> 00:09:07,640 Speaker 2: Meta is the closest performer, up around thirty three percent, 190 00:09:07,760 --> 00:09:09,800 Speaker 2: So you know, it's above them right now. But I 191 00:09:09,840 --> 00:09:11,840 Speaker 2: think it's certainly knocking on the door of that elite group. 192 00:09:12,400 --> 00:09:13,959 Speaker 2: You know, it's nearing in on that sort of trillion 193 00:09:14,000 --> 00:09:16,559 Speaker 2: dollar threshold. Puts it in the league, as you say, 194 00:09:16,600 --> 00:09:18,480 Speaker 2: close to sort of Meta and Tesla there in terms 195 00:09:18,480 --> 00:09:21,200 Speaker 2: of sort of valuation. But I think if we look 196 00:09:21,240 --> 00:09:24,960 Speaker 2: at those three names, specifically, Amazon, Microsoft and Google, they're 197 00:09:24,960 --> 00:09:28,240 Speaker 2: the dominant three in cloud. You know, Oracle probably sits 198 00:09:28,280 --> 00:09:31,640 Speaker 2: in just behind them. If Oracle can keep landing those 199 00:09:31,640 --> 00:09:34,240 Speaker 2: big A ideals, if it can materially close the gap, 200 00:09:34,720 --> 00:09:36,760 Speaker 2: I think there's you know, certainly a question here that 201 00:09:36,800 --> 00:09:39,319 Speaker 2: they're going to be knocking on the door absolutely and 202 00:09:39,600 --> 00:09:41,600 Speaker 2: sort of asking questions of that that sort of Elite 203 00:09:41,600 --> 00:09:43,160 Speaker 2: seven if you like, just. 204 00:09:43,160 --> 00:09:45,319 Speaker 1: One last one while we're talking about the MAGS seven 205 00:09:45,480 --> 00:09:47,920 Speaker 1: alphabet owner of Google, hit a markeup cap this week 206 00:09:47,960 --> 00:09:50,559 Speaker 1: of what was it, three trillion US dollars. It's had 207 00:09:50,600 --> 00:09:53,120 Speaker 1: a massive month. Can it keep going? 208 00:09:53,480 --> 00:09:57,240 Speaker 2: I think so yeah. I think that they've got a 209 00:09:57,240 --> 00:09:59,920 Speaker 2: dominant position in search and advertising, They've got a stro 210 00:10:00,120 --> 00:10:02,920 Speaker 2: growing cloud business, and they're a leader in AI. They're 211 00:10:02,960 --> 00:10:05,160 Speaker 2: a core player in the market. I think the main 212 00:10:05,280 --> 00:10:07,680 Speaker 2: risks recently have been regulatory issues and that sort of 213 00:10:07,679 --> 00:10:10,199 Speaker 2: sheer size of the company. But one of the reasons 214 00:10:10,240 --> 00:10:13,080 Speaker 2: we've seen shares rally so much recently is that we've 215 00:10:13,120 --> 00:10:16,360 Speaker 2: had strong demand for their cloud services. Think about Gemini 216 00:10:16,440 --> 00:10:19,880 Speaker 2: and how they're integrating AI into their business. They've made 217 00:10:19,960 --> 00:10:22,120 Speaker 2: They've invested a lot of money into AI, but that's 218 00:10:22,120 --> 00:10:24,440 Speaker 2: starting to pay off thirty two percent jump in revenue 219 00:10:24,880 --> 00:10:27,280 Speaker 2: cloud revenue last quarter. And then they also had a 220 00:10:27,280 --> 00:10:29,880 Speaker 2: favorable court ruling as well, it said that they wouldn't 221 00:10:29,880 --> 00:10:33,440 Speaker 2: need to divest Google Chrome or Android's operating system. That 222 00:10:33,600 --> 00:10:35,800 Speaker 2: was a big overhang for the stock for a long time, 223 00:10:35,800 --> 00:10:39,040 Speaker 2: which is why we've seen a big rally within the 224 00:10:39,120 --> 00:10:42,400 Speaker 2: last few months since the lows we saw in April. 225 00:10:42,880 --> 00:10:45,000 Speaker 2: And as I say, traditional business is doing well right, 226 00:10:45,080 --> 00:10:49,120 Speaker 2: the Google business YouTube. It's also got really exciting ventures 227 00:10:49,160 --> 00:10:51,840 Speaker 2: like Weaimo, which is self driving cars as well. So 228 00:10:51,880 --> 00:10:53,959 Speaker 2: I absolutely do think it can, but you've got to 229 00:10:54,040 --> 00:10:56,400 Speaker 2: keep delivering. If you're getting to a size of three 230 00:10:56,520 --> 00:10:59,199 Speaker 2: trillion dollars, that sheer size means that you've got to 231 00:10:59,240 --> 00:11:02,040 Speaker 2: keep delivering. But for me, fundamentals look solid and think 232 00:11:02,040 --> 00:11:03,760 Speaker 2: it is actually still one of the cheaper tech stocks 233 00:11:03,800 --> 00:11:06,600 Speaker 2: by valuation out there right now, so I still think 234 00:11:06,640 --> 00:11:09,040 Speaker 2: it will be a bit of an attraction for investors 235 00:11:09,400 --> 00:11:10,160 Speaker 2: at current levels. 236 00:11:10,360 --> 00:11:12,600 Speaker 1: Terrific, Josh, Thank you for talking to Fear and Greed. 237 00:11:12,880 --> 00:11:13,760 Speaker 2: Thanks so much, Michael. 238 00:11:13,880 --> 00:11:16,680 Speaker 1: That was Josh Gilbert, market analyst at DHRO. Now just 239 00:11:16,720 --> 00:11:19,920 Speaker 1: a reminder of course, please seek professional advice before making 240 00:11:19,960 --> 00:11:21,920 Speaker 1: investment decisions. Now, if you've got something that you would 241 00:11:21,920 --> 00:11:25,080 Speaker 1: like to know, then send through your question on LinkedIn, Instagram, 242 00:11:25,160 --> 00:11:27,920 Speaker 1: Facebook or at Fearangreed dot com dot au. Ire Michael 243 00:11:27,960 --> 00:11:29,840 Speaker 1: Thompson and this is Fear and Greed Q and a