1 00:00:05,680 --> 00:00:08,520 Speaker 1: Welcome to the Firm Green Business Interview. I'm Adam Lang. 2 00:00:09,000 --> 00:00:12,240 Speaker 1: Last week, chip Maker and Video recorded the biggest ever 3 00:00:12,400 --> 00:00:15,680 Speaker 1: one day drop in market value, losing US two hundred 4 00:00:15,720 --> 00:00:18,920 Speaker 1: and seventy nine billion dollars in a single session. That 5 00:00:19,040 --> 00:00:23,560 Speaker 1: plunge came after Nvidia's second quarter results previous week, results 6 00:00:23,560 --> 00:00:28,160 Speaker 1: that generally met or exceeded expectations. And Video is of 7 00:00:28,200 --> 00:00:31,000 Speaker 1: course the poster child for the AI boom, so any 8 00:00:31,120 --> 00:00:35,040 Speaker 1: wariness or uncertainty from analysts and investors has the potential 9 00:00:35,080 --> 00:00:38,680 Speaker 1: for far reaching consequences. I wanted to take a closer 10 00:00:38,720 --> 00:00:41,239 Speaker 1: look at what's happening with Nvidia and some of the 11 00:00:41,280 --> 00:00:45,120 Speaker 1: other companies writing that AI wave, including a few on 12 00:00:45,159 --> 00:00:48,400 Speaker 1: the local boss. Remember that this is general information only, 13 00:00:48,440 --> 00:00:51,760 Speaker 1: and you should seek professional advice before making any investment decisions. 14 00:00:52,200 --> 00:00:54,920 Speaker 1: I'm very pleased to say that Josh Gilbert is here 15 00:00:54,920 --> 00:00:57,560 Speaker 1: with me today. He's a market analyst at social investment 16 00:00:57,640 --> 00:01:00,880 Speaker 1: network e Toro and a regular guest on this podcast. 17 00:01:01,000 --> 00:01:02,520 Speaker 2: Josh, welcome back to Fear and Greed. 18 00:01:03,040 --> 00:01:04,679 Speaker 3: Thanks for having me back at I'm great to be here. 19 00:01:05,319 --> 00:01:08,440 Speaker 1: Before we get to NVIDIAs specifically, you've been keeping a 20 00:01:08,480 --> 00:01:10,319 Speaker 1: close eye on the US reporting season. 21 00:01:10,360 --> 00:01:11,160 Speaker 2: How have you seen it? 22 00:01:12,120 --> 00:01:15,720 Speaker 3: Yeah, overall, it's been I think a good season. We 23 00:01:15,760 --> 00:01:18,520 Speaker 3: saw eleven percent earnings growth, which was sort of well 24 00:01:18,560 --> 00:01:21,840 Speaker 3: above estimates, and we weren't really expecting to see double 25 00:01:21,840 --> 00:01:25,600 Speaker 3: digit earnings growth until next quarter, So the fact that 26 00:01:25,600 --> 00:01:28,560 Speaker 3: we're seeing a little bit earlier was fantastic. We were 27 00:01:28,600 --> 00:01:30,720 Speaker 3: expecting around about eight and a half percent earnings growth. 28 00:01:30,760 --> 00:01:33,840 Speaker 3: Got to that double digits, highest earnings growth since twenty 29 00:01:33,880 --> 00:01:38,240 Speaker 3: twenty one. Utilities, tech, financials, healthcare all leaders. But I 30 00:01:38,240 --> 00:01:40,520 Speaker 3: think really what was the standout for us is that 31 00:01:41,000 --> 00:01:43,039 Speaker 3: we sort of relied a little bit less on tech 32 00:01:43,200 --> 00:01:46,280 Speaker 3: this quarter. We're starting to see earnings growth broadening out 33 00:01:46,440 --> 00:01:48,320 Speaker 3: a little bit. And for a while there there was 34 00:01:48,480 --> 00:01:51,280 Speaker 3: a big worry for investors that tech was obviously the 35 00:01:51,520 --> 00:01:53,640 Speaker 3: big driver behind this market, and if we saw that 36 00:01:53,680 --> 00:01:57,320 Speaker 3: slow down, the market wouldn't sort of continue. It's rally 37 00:01:57,360 --> 00:01:59,720 Speaker 3: that we've seen and we are starting to see that broaden, 38 00:01:59,760 --> 00:02:03,120 Speaker 3: which is vastly positive. And I think, you know, to 39 00:02:03,200 --> 00:02:06,280 Speaker 3: take away, we've got obviously which looks like almost a 40 00:02:06,320 --> 00:02:09,320 Speaker 3: certain rate cut coming from the FED in September, we've 41 00:02:09,360 --> 00:02:12,359 Speaker 3: still got strong decent global growth as well, and those 42 00:02:12,400 --> 00:02:14,760 Speaker 3: earnings numbers that we got from the US tells us 43 00:02:14,840 --> 00:02:17,520 Speaker 3: that the ballmarket still has more legs in our eyes. 44 00:02:18,320 --> 00:02:21,040 Speaker 1: Well, that's great to hear. In video side, What were 45 00:02:21,080 --> 00:02:22,560 Speaker 1: the standout companies for you? 46 00:02:23,400 --> 00:02:25,519 Speaker 3: Yeah, look, I think as you say we focus on tech, 47 00:02:25,560 --> 00:02:27,680 Speaker 3: we look at tech. Those were sort of some of 48 00:02:27,280 --> 00:02:30,120 Speaker 3: the names we always tend to look to that magnificent 49 00:02:30,200 --> 00:02:33,239 Speaker 3: seven utilities companies. As I mentioned there, they saw the 50 00:02:33,520 --> 00:02:36,160 Speaker 3: highest standings growth in the US, so they were probably 51 00:02:36,360 --> 00:02:39,280 Speaker 3: the standout sector. You know, we really look to some 52 00:02:39,320 --> 00:02:42,760 Speaker 3: of those other big tech names like Meta Alphabet. I 53 00:02:42,800 --> 00:02:45,400 Speaker 3: think that came through with some some really decent numbers 54 00:02:45,440 --> 00:02:48,120 Speaker 3: on the cloud side as well, showing that it's not 55 00:02:48,200 --> 00:02:49,840 Speaker 3: just in video doing the heavy lifting. Some of these 56 00:02:49,880 --> 00:02:52,800 Speaker 3: other names are sort of really coming through. And in 57 00:02:52,840 --> 00:02:55,120 Speaker 3: the travel sector as well. I like to sort of 58 00:02:55,160 --> 00:02:56,760 Speaker 3: keep an eye on that sector, and the likes of 59 00:02:56,880 --> 00:03:00,720 Speaker 3: Airbnb posted some really strong numbers in too as well. 60 00:03:00,760 --> 00:03:02,880 Speaker 3: I think we're sort of continuing to see that revenge 61 00:03:02,919 --> 00:03:06,320 Speaker 3: travel after the COVID pandemic, and I think that's a 62 00:03:06,360 --> 00:03:08,880 Speaker 3: great business that you know, has a long runwayhead as well. 63 00:03:10,080 --> 00:03:12,440 Speaker 2: Were there any disappointments that you'd speak of. 64 00:03:13,200 --> 00:03:17,679 Speaker 3: Look, I think broadly we looked to probably the materials 65 00:03:17,680 --> 00:03:19,640 Speaker 3: and the energy sectors. Those were sort of two of 66 00:03:19,639 --> 00:03:21,600 Speaker 3: the sectors that sort of really struggled. I think we 67 00:03:21,639 --> 00:03:24,359 Speaker 3: saw that a little bit on our local market. Again, 68 00:03:24,440 --> 00:03:27,280 Speaker 3: a lot of that coming from commodity prices, which you 69 00:03:27,480 --> 00:03:29,360 Speaker 3: have been in decline over the last sort of twelve 70 00:03:29,400 --> 00:03:32,239 Speaker 3: to eighty months. We're not sort of seeing the same 71 00:03:32,320 --> 00:03:35,040 Speaker 3: sort of record profits that we saw from these companies 72 00:03:35,240 --> 00:03:38,720 Speaker 3: in sort of previous years, and I think that's really 73 00:03:39,280 --> 00:03:41,240 Speaker 3: sort of making it difficult for a lot of those 74 00:03:41,240 --> 00:03:44,520 Speaker 3: businesses to continue one paying the dividends. We saw BHP 75 00:03:44,680 --> 00:03:47,760 Speaker 3: cut it's dividend just recently as well, so I think 76 00:03:47,960 --> 00:03:49,520 Speaker 3: that's sort of really difficult for a lot of those 77 00:03:49,520 --> 00:03:54,040 Speaker 3: companies to continue to sort of stand out. Tessa was 78 00:03:54,240 --> 00:03:57,680 Speaker 3: probably one that maybe disappointed going into it. We've had 79 00:03:57,680 --> 00:03:59,880 Speaker 3: some difficulties at the sort of the start of the year, 80 00:04:00,120 --> 00:04:02,839 Speaker 3: and you know, I think that the company is really 81 00:04:02,880 --> 00:04:05,320 Speaker 3: sort of looking to try and you know, reinvent itself 82 00:04:05,360 --> 00:04:07,960 Speaker 3: at the moment into maybe a bit of an IAAI play, 83 00:04:08,000 --> 00:04:10,000 Speaker 3: a bit of a tech company and not just an 84 00:04:10,000 --> 00:04:12,400 Speaker 3: EV manufacturer. So that was I think one name that 85 00:04:12,480 --> 00:04:13,240 Speaker 3: sort of stood out. 86 00:04:13,880 --> 00:04:14,720 Speaker 2: Stay with me, Josh. 87 00:04:14,840 --> 00:04:23,919 Speaker 1: We'll be back in a minute. I'm speaking to Josh 88 00:04:23,920 --> 00:04:28,480 Speaker 1: Gilbert from e Toro. Now Josh onto Nvidia. The chip 89 00:04:28,520 --> 00:04:31,520 Speaker 1: maker's results were a really strong set of numbers in 90 00:04:31,560 --> 00:04:35,120 Speaker 1: my view, but in this has seemed to react badly. 91 00:04:35,640 --> 00:04:38,280 Speaker 2: Are they just too accustomed to being blown away? 92 00:04:39,000 --> 00:04:41,719 Speaker 3: Yeah? I think I think basically that's it. Before we 93 00:04:41,920 --> 00:04:44,520 Speaker 3: sort of got the result, the stock was branded the 94 00:04:44,520 --> 00:04:47,080 Speaker 3: most important stock on the planet, So I think that 95 00:04:47,120 --> 00:04:49,440 Speaker 3: tells us everything. Yeah, no pressure, Yeah, I think that 96 00:04:49,520 --> 00:04:51,440 Speaker 3: tells you everything you need to know about going into 97 00:04:51,760 --> 00:04:54,360 Speaker 3: the result. But look, it was a great result. Revenue 98 00:04:54,400 --> 00:04:56,400 Speaker 3: up by one hundred and twenty two percent year over year, 99 00:04:56,920 --> 00:04:59,520 Speaker 3: you know, huge jumping data seven center revenue as well, 100 00:05:00,040 --> 00:05:03,120 Speaker 3: offit more than double to about sixteen billion, so you know, 101 00:05:03,320 --> 00:05:06,800 Speaker 3: really really great numbers. Announced the fifty billion dollar buyback. 102 00:05:07,040 --> 00:05:09,320 Speaker 3: I think that signals, you know, its own confidence in 103 00:05:09,600 --> 00:05:12,000 Speaker 3: sort of what's ahead as well. Finished the quarter on 104 00:05:12,080 --> 00:05:14,640 Speaker 3: a huge balance sheet run about thirty five billion dollars 105 00:05:14,680 --> 00:05:18,239 Speaker 3: as well, and its outlook even beat expectations as well. 106 00:05:19,320 --> 00:05:21,120 Speaker 3: And so when we're talking about that, to then talk 107 00:05:21,160 --> 00:05:23,160 Speaker 3: about the stock falling, you're thinking, okay, where is that 108 00:05:23,240 --> 00:05:25,800 Speaker 3: coming from. But I think, as you say, the market 109 00:05:25,920 --> 00:05:28,120 Speaker 3: might have been slightly disappointed not to see what was 110 00:05:28,160 --> 00:05:32,760 Speaker 3: basically a bigger beat on its guidance given essentially we've 111 00:05:32,800 --> 00:05:36,359 Speaker 3: got some basically unattainable, what it feels like expectations from 112 00:05:36,600 --> 00:05:39,400 Speaker 3: some analysts and some investors. But I think the bottom 113 00:05:39,440 --> 00:05:42,760 Speaker 3: line is that the long term story remains intact. Demand 114 00:05:42,839 --> 00:05:44,920 Speaker 3: remains huge, and I think that in video will keep 115 00:05:45,000 --> 00:05:45,359 Speaker 3: rolling on. 116 00:05:46,120 --> 00:05:48,880 Speaker 2: Yeah, look, I agree with that, Josh. 117 00:05:48,920 --> 00:05:51,839 Speaker 1: And just to look at the second sell off last 118 00:05:51,839 --> 00:05:54,240 Speaker 1: week and its stages got even bigger. 119 00:05:54,760 --> 00:05:55,800 Speaker 2: What do you think caused it? 120 00:05:55,920 --> 00:05:58,120 Speaker 1: I saw there are a couple of analysts raising questions, 121 00:05:58,120 --> 00:06:01,479 Speaker 1: including about the strength of demand or AI outside the 122 00:06:01,520 --> 00:06:02,240 Speaker 1: tech industry. 123 00:06:02,680 --> 00:06:04,240 Speaker 2: Was that enough to concern investors? 124 00:06:04,839 --> 00:06:06,360 Speaker 3: I think it was a couple of things. So we 125 00:06:06,480 --> 00:06:09,039 Speaker 3: kind of had that sort of coming in, this AI 126 00:06:09,400 --> 00:06:11,520 Speaker 3: demand thesis. Is it going to stick? Is it going 127 00:06:11,560 --> 00:06:13,320 Speaker 3: to continue at the same level that we've seen in 128 00:06:13,360 --> 00:06:15,760 Speaker 3: the past. Then obviously, right at the start of the 129 00:06:15,760 --> 00:06:18,120 Speaker 3: week we had those sort of recession jitters, we had 130 00:06:18,120 --> 00:06:21,720 Speaker 3: some pretty weak manufacturing data that came through, and that 131 00:06:21,880 --> 00:06:25,599 Speaker 3: macro environment at the moment is it's very sensitive, very 132 00:06:25,640 --> 00:06:29,200 Speaker 3: sensitive if we get sort of slightly weakened numbers in 133 00:06:29,360 --> 00:06:32,159 Speaker 3: even like you say, some data that we wouldn't probably 134 00:06:32,200 --> 00:06:34,840 Speaker 3: really put a lot of focus on, such as manufacturing numbers. 135 00:06:35,520 --> 00:06:37,520 Speaker 3: It really hit the S and P five hundred and 136 00:06:37,560 --> 00:06:39,080 Speaker 3: naws that very hard at the start of the week, 137 00:06:39,120 --> 00:06:41,680 Speaker 3: and then video felt the full force of that, coupled 138 00:06:41,680 --> 00:06:44,160 Speaker 3: in with this idea that you know that they are 139 00:06:44,200 --> 00:06:47,000 Speaker 3: sort of on the watch list of the DOJ as 140 00:06:47,040 --> 00:06:50,360 Speaker 3: well subpoena potentially coming through. So all of that coming 141 00:06:50,400 --> 00:06:52,479 Speaker 3: through I think had a big effect. But I think, 142 00:06:52,560 --> 00:06:55,360 Speaker 3: in my view was a bit of an overreaction. I 143 00:06:55,400 --> 00:06:58,040 Speaker 3: think investors are going to see any weakness as opportunity. 144 00:06:58,680 --> 00:07:01,359 Speaker 3: I think if we look at the sales projections for 145 00:07:01,400 --> 00:07:04,840 Speaker 3: the current period, I think again above expectations. I think 146 00:07:05,000 --> 00:07:09,640 Speaker 3: that disappointed some investors. But when the stockers you know, 147 00:07:09,680 --> 00:07:11,800 Speaker 3: had a huge run, it's had a massive, massive run, 148 00:07:11,840 --> 00:07:13,760 Speaker 3: it's one of the best performing companies you know in 149 00:07:13,800 --> 00:07:15,880 Speaker 3: the US, it's easy to sort of try and poke 150 00:07:15,920 --> 00:07:18,880 Speaker 3: holes and try and find something and the smallest thing 151 00:07:18,960 --> 00:07:21,080 Speaker 3: that isn't wrong. And I think that's what investors are doing. 152 00:07:21,400 --> 00:07:23,440 Speaker 3: You know, when you're branded as magnificent, you've sort of 153 00:07:23,480 --> 00:07:25,760 Speaker 3: kind of got to be perfect. But I say I 154 00:07:25,800 --> 00:07:27,960 Speaker 3: think the market's clutching et straws a little bit. I 155 00:07:28,000 --> 00:07:29,840 Speaker 3: think it was a fantastic result. I think the sell 156 00:07:29,840 --> 00:07:32,080 Speaker 3: off is is a little bit overdone, and as I said, 157 00:07:32,080 --> 00:07:34,240 Speaker 3: I think investors will see any sell off as an opportunity. 158 00:07:35,160 --> 00:07:38,360 Speaker 1: Josh the I guess the strength of AI itself outside 159 00:07:38,360 --> 00:07:42,040 Speaker 1: in Nvidia and people's being concerned or even spooked about 160 00:07:42,040 --> 00:07:44,320 Speaker 1: what the future is like for AI. My own view 161 00:07:44,360 --> 00:07:46,480 Speaker 1: of this is we're only just getting our heads around 162 00:07:46,560 --> 00:07:48,320 Speaker 1: what sort of tool it is and how to apply 163 00:07:48,360 --> 00:07:51,080 Speaker 1: it in different companies and industries. Do you think the 164 00:07:51,120 --> 00:07:54,480 Speaker 1: real world demand for AI products is going to live 165 00:07:54,520 --> 00:07:55,320 Speaker 1: up to the hype? 166 00:07:56,120 --> 00:07:59,160 Speaker 3: No, I think absolutely. I think there are use cases 167 00:07:59,200 --> 00:08:01,680 Speaker 3: in AI for so many industries, and you know, you 168 00:08:01,720 --> 00:08:04,000 Speaker 3: speak to people now and it's hard to imagine how 169 00:08:04,040 --> 00:08:06,720 Speaker 3: they did certain processes with how they are. You know, 170 00:08:06,920 --> 00:08:08,800 Speaker 3: if I just look at sort of my business itself 171 00:08:08,800 --> 00:08:11,360 Speaker 3: at e SORR, we're integrating it in so many different 172 00:08:11,400 --> 00:08:15,280 Speaker 3: areas of the business, in our search tools, in helping investors, 173 00:08:15,680 --> 00:08:19,040 Speaker 3: you know, manage their portfolios, you know, how to diversify 174 00:08:19,960 --> 00:08:22,920 Speaker 3: it's you know, through our customer service areas. So there's 175 00:08:22,920 --> 00:08:25,040 Speaker 3: so many ways that I think you can be integrated 176 00:08:25,040 --> 00:08:28,560 Speaker 3: into businesses. It improves productivity, you know, it's going to 177 00:08:28,560 --> 00:08:30,840 Speaker 3: help companies bottom lines, and I think that is the 178 00:08:30,880 --> 00:08:33,160 Speaker 3: key point. It is going to help these companies bottom lines, 179 00:08:33,200 --> 00:08:36,400 Speaker 3: and that's why they are investing so heavily into it. 180 00:08:36,679 --> 00:08:39,160 Speaker 3: You know. I think there's a trillion dollar opportunity with AI. 181 00:08:39,480 --> 00:08:41,520 Speaker 3: There's no doubt about that. There will be companies that 182 00:08:41,600 --> 00:08:45,800 Speaker 3: benefit from the spending and then the technology itself. And 183 00:08:45,840 --> 00:08:47,960 Speaker 3: I mentioned about my business. We can even look locally 184 00:08:48,000 --> 00:08:51,080 Speaker 3: as well. The company like Domain sort of a real estate, 185 00:08:51,400 --> 00:08:53,880 Speaker 3: you know platform, and recently they said in the sort 186 00:08:53,920 --> 00:08:57,320 Speaker 3: of release that they've improved one point five million listings 187 00:08:57,320 --> 00:09:00,680 Speaker 3: on its app by integrating AI. That is massive and 188 00:09:00,720 --> 00:09:03,680 Speaker 3: it just shows how this technology can improve a business 189 00:09:03,679 --> 00:09:06,160 Speaker 3: and so many different businesses. So I think it has 190 00:09:06,640 --> 00:09:09,160 Speaker 3: so many real world use cases and I think, to 191 00:09:09,160 --> 00:09:10,720 Speaker 3: be honest with we're just getting started. 192 00:09:11,480 --> 00:09:14,840 Speaker 1: So what about a little more information on the local scene. 193 00:09:15,320 --> 00:09:17,560 Speaker 1: You've mentioned Domain there. There's a lot of attention on 194 00:09:17,640 --> 00:09:21,080 Speaker 1: data centers following last week's news about the twenty three 195 00:09:21,200 --> 00:09:24,480 Speaker 1: billion dollar sale of data center company here Trunk to Blackstone. 196 00:09:24,720 --> 00:09:26,640 Speaker 1: What are you making of other players in this space, 197 00:09:26,800 --> 00:09:28,479 Speaker 1: like next DC or Megaport. 198 00:09:29,160 --> 00:09:30,959 Speaker 3: Yeah, well that was a huge deal, and I think 199 00:09:30,960 --> 00:09:33,640 Speaker 3: it just goes to show the opportunity that's available in AI, 200 00:09:34,280 --> 00:09:37,280 Speaker 3: not just obviously in Nvidia, but also not just in 201 00:09:37,280 --> 00:09:39,640 Speaker 3: the US as well. There's clearly a lot of opportunities 202 00:09:39,679 --> 00:09:42,360 Speaker 3: locally here. Look, I think it's fair to say that 203 00:09:42,440 --> 00:09:44,480 Speaker 3: there isn't a huge amount of choice when it comes 204 00:09:44,520 --> 00:09:46,920 Speaker 3: to tech on the local market. We're very financially heavy, 205 00:09:46,960 --> 00:09:49,440 Speaker 3: we're very resource heavy, so when we look to tech, 206 00:09:49,720 --> 00:09:52,600 Speaker 3: you know, most often investors will go to the US, 207 00:09:52,640 --> 00:09:55,400 Speaker 3: but there are options here. No doubt AI is being 208 00:09:55,400 --> 00:09:57,920 Speaker 3: implemented across a lot of businesses, but you know there 209 00:09:57,960 --> 00:10:00,839 Speaker 3: are companies here that are benefiting. You mentioned their next 210 00:10:00,880 --> 00:10:04,200 Speaker 3: DC Megaport. Could even look at Goodman Group as well, 211 00:10:04,440 --> 00:10:06,719 Speaker 3: you know, previously known as that sort of industrial real 212 00:10:06,800 --> 00:10:09,920 Speaker 3: estate business, but is now very heavy into the sort 213 00:10:09,920 --> 00:10:12,520 Speaker 3: of the data center side of the market and is 214 00:10:12,760 --> 00:10:14,920 Speaker 3: benefiting massively from that. You know, one of the biggest 215 00:10:14,960 --> 00:10:18,880 Speaker 3: companies now listed on the ASX. You look at next DC, 216 00:10:19,200 --> 00:10:22,920 Speaker 3: you know they're increasingly involved with sort of supporting AI workloads, 217 00:10:23,000 --> 00:10:26,520 Speaker 3: providing the sort of the high performance infrastructure needed for 218 00:10:27,080 --> 00:10:30,640 Speaker 3: AI applications. And even if we just look outside of that, 219 00:10:30,720 --> 00:10:33,120 Speaker 3: if we then look to other companies that are set 220 00:10:33,160 --> 00:10:36,400 Speaker 3: to benefit, we can think about the energy providers, agl origin, 221 00:10:36,559 --> 00:10:38,880 Speaker 3: these types of companies. We are going to need so 222 00:10:39,000 --> 00:10:43,280 Speaker 3: much power to drive these sort of this computing power 223 00:10:43,400 --> 00:10:46,080 Speaker 3: over the years ahead, and you know that's going to 224 00:10:46,080 --> 00:10:48,360 Speaker 3: benefit a lot a lot of companies and even some 225 00:10:48,440 --> 00:10:51,320 Speaker 3: of the miners. Right, We're going to need copper. Copper 226 00:10:51,360 --> 00:10:52,959 Speaker 3: is going to be key in the sort of the 227 00:10:53,200 --> 00:10:56,880 Speaker 3: electrification of this sort of renewable push in the future. 228 00:10:57,240 --> 00:10:59,160 Speaker 3: So there's there's so many sort of ways I think 229 00:10:59,200 --> 00:11:03,000 Speaker 3: that we can look at AI. You mentioned Megaport there earlier. 230 00:11:03,040 --> 00:11:05,880 Speaker 3: Megaport is a business that I think is is really exciting. 231 00:11:05,960 --> 00:11:08,720 Speaker 3: It sort of kind of joins businesses together, you know, 232 00:11:08,840 --> 00:11:12,360 Speaker 3: cloud services, service providers, data centers. It sort of puts 233 00:11:12,360 --> 00:11:15,280 Speaker 3: a digital bridge essentially. Instead of companies sort of building 234 00:11:15,320 --> 00:11:19,120 Speaker 3: separate bridges to different cloud providers or data centers, Megaport 235 00:11:19,200 --> 00:11:21,320 Speaker 3: is that sort of single platform that sort of brings 236 00:11:21,360 --> 00:11:25,800 Speaker 3: everything together and makes it cost effective for businesses. So again, 237 00:11:26,160 --> 00:11:28,200 Speaker 3: plenty of opportunities on the local market and there are 238 00:11:28,240 --> 00:11:30,719 Speaker 3: a lot of companies that are going to benefit, as 239 00:11:30,720 --> 00:11:33,400 Speaker 3: I say, bottom line wise from you know, you know, 240 00:11:33,440 --> 00:11:35,920 Speaker 3: companies spending more money, and there will be companies that 241 00:11:35,960 --> 00:11:38,920 Speaker 3: benefit from actually just using AI in their day to 242 00:11:38,960 --> 00:11:41,679 Speaker 3: day businesses that will, as I say, make them more 243 00:11:41,679 --> 00:11:44,880 Speaker 3: productive and ultimately make more profitable at the same time. 244 00:11:45,640 --> 00:11:47,160 Speaker 1: Josh, you know what I love about some of those 245 00:11:47,160 --> 00:11:51,440 Speaker 1: companies you mentioned air Trunk, next d you see Megaport. 246 00:11:51,600 --> 00:11:52,680 Speaker 2: Such great names. 247 00:11:53,080 --> 00:11:55,600 Speaker 3: Yeah they are. Yeah, they're not exactly very basic names, 248 00:11:55,600 --> 00:11:58,199 Speaker 3: are they, you know, and it makes it makes a 249 00:11:58,240 --> 00:12:00,760 Speaker 3: difference for you know, hearing Woolworth or Coals that we 250 00:12:00,840 --> 00:12:02,760 Speaker 3: sort of tend to think about on the local market. 251 00:12:02,840 --> 00:12:05,319 Speaker 3: So yeah, I know that they have got nice names. 252 00:12:05,400 --> 00:12:05,640 Speaker 2: Huger. 253 00:12:06,040 --> 00:12:08,559 Speaker 1: I think it's a really exciting time. And thank you 254 00:12:08,559 --> 00:12:09,720 Speaker 1: for talking to Fear and Greed. 255 00:12:10,160 --> 00:12:11,360 Speaker 3: My pleasure, Thanks for having me. 256 00:12:11,760 --> 00:12:14,840 Speaker 1: That was Josh Gilbert, market analyst at Social Investment Network 257 00:12:14,880 --> 00:12:17,559 Speaker 1: e Toro. This is the Fear and Greed Business Interview. 258 00:12:17,640 --> 00:12:20,640 Speaker 1: Remember this is general information only, and you should seek 259 00:12:20,640 --> 00:12:25,000 Speaker 1: professional advice before making investment decisions. Join us every morning 260 00:12:25,000 --> 00:12:27,360 Speaker 1: for the full episode of Fear and Greed. It's daily 261 00:12:27,400 --> 00:12:29,560 Speaker 1: business news for people who make their own decisions. 262 00:12:29,920 --> 00:12:33,040 Speaker 2: I'm Adam Lang. Enjoy your day.