1 00:00:05,360 --> 00:00:06,760 Speaker 1: This is what the flucks. 2 00:00:06,840 --> 00:00:09,400 Speaker 2: I'm justin and I'm harsh deep and it's Friday, the 3 00:00:09,440 --> 00:00:10,319 Speaker 2: twenty fourth of May. 4 00:00:10,440 --> 00:00:13,560 Speaker 1: A g When BHP first tried to acquire Anglo American 5 00:00:13,680 --> 00:00:17,000 Speaker 1: for sixty billion dollars, it is clearly a mega low 6 00:00:17,040 --> 00:00:19,400 Speaker 1: ball opper. Oh yeah, because now they've made a third 7 00:00:19,440 --> 00:00:22,280 Speaker 1: bid of seventy three point nine billion bucks and Anglo 8 00:00:22,280 --> 00:00:25,480 Speaker 1: American has still rejected the opper. Ouch, I got a fee. 9 00:00:25,680 --> 00:00:28,320 Speaker 1: BHP may just come back for one more time. Get 10 00:00:28,320 --> 00:00:28,920 Speaker 1: it still done? 11 00:00:29,040 --> 00:00:31,800 Speaker 2: I guess we'll find out. As part of the federal budget, 12 00:00:31,880 --> 00:00:35,159 Speaker 2: every household will get a what discount on the energy bills? 13 00:00:35,159 --> 00:00:35,680 Speaker 1: Good question? 14 00:00:36,080 --> 00:00:38,159 Speaker 2: If you knew it was three hundred dollars, then you 15 00:00:38,200 --> 00:00:40,320 Speaker 2: would have been in a chance to win our prize 16 00:00:40,360 --> 00:00:42,960 Speaker 2: as part of our weekly game Twisteps. And it's on 17 00:00:43,040 --> 00:00:45,720 Speaker 2: again today, so flax fam make sure to download the 18 00:00:45,720 --> 00:00:48,600 Speaker 2: Flux app and have your notifications turned on because it 19 00:00:48,640 --> 00:00:50,480 Speaker 2: is dropping today at a random time. 20 00:00:51,080 --> 00:00:54,680 Speaker 1: Three energetic stories today, HD, let's get into it for 21 00:00:54,920 --> 00:00:58,560 Speaker 1: our first zero. The accounting software platform has seen its 22 00:00:58,640 --> 00:01:01,400 Speaker 1: revenue spike more than twenty twenty two percent, but AI 23 00:01:01,600 --> 00:01:04,000 Speaker 1: is not going to revolutionize this business. 24 00:01:04,120 --> 00:01:06,360 Speaker 2: What do you mean, I thought AI was a problem 25 00:01:06,440 --> 00:01:10,040 Speaker 2: and solution to all corporate world problems these days, tell 26 00:01:10,080 --> 00:01:10,520 Speaker 2: me more so. 27 00:01:10,640 --> 00:01:13,520 Speaker 1: Zero is the new Zealand based accounting software that launched 28 00:01:13,520 --> 00:01:14,880 Speaker 1: back in two thousand and six. 29 00:01:15,040 --> 00:01:17,160 Speaker 2: It took on the likes of myob and Quicken in 30 00:01:17,200 --> 00:01:20,120 Speaker 2: the accounting space by building a software that lived in 31 00:01:20,160 --> 00:01:20,600 Speaker 2: the cloud. 32 00:01:20,680 --> 00:01:23,360 Speaker 1: Sounds pretty basic these days, but back then the cloud 33 00:01:23,560 --> 00:01:25,600 Speaker 1: was just when you flew a plane and nothing to 34 00:01:25,640 --> 00:01:26,160 Speaker 1: do with tech. 35 00:01:26,240 --> 00:01:29,160 Speaker 2: But since listing on the AX in twenty twelve, Zero 36 00:01:29,240 --> 00:01:32,479 Speaker 2: has grown its market value by two thousand, eight hundred 37 00:01:32,520 --> 00:01:33,720 Speaker 2: and thirty one percent. 38 00:01:33,800 --> 00:01:36,759 Speaker 1: At now, HD zero is continuing on its growth path 39 00:01:36,959 --> 00:01:39,679 Speaker 1: after announcing its revenue jump twenty two percent for the 40 00:01:39,760 --> 00:01:40,800 Speaker 1: year to March roll. 41 00:01:40,880 --> 00:01:43,640 Speaker 2: On top of that, its number of monthly churned subscribers 42 00:01:43,800 --> 00:01:46,959 Speaker 2: was less than one percent. But then came the interesting part. 43 00:01:47,080 --> 00:01:50,400 Speaker 2: Go on, Well, the CEO was asked about the potential 44 00:01:50,480 --> 00:01:53,240 Speaker 2: for generative AI in the Zero business and she said 45 00:01:53,280 --> 00:01:55,120 Speaker 2: she didn't want to use the word AI just for the. 46 00:01:55,120 --> 00:01:57,760 Speaker 1: Sake of it, and AI can't yet do your taxes. 47 00:01:57,920 --> 00:02:01,120 Speaker 2: But it goes against the grain of many other CEOs 48 00:02:01,160 --> 00:02:03,600 Speaker 2: who were dropping generative AI just to ride. 49 00:02:03,400 --> 00:02:05,280 Speaker 1: The HIVE, So what is the key learning here? 50 00:02:05,400 --> 00:02:08,240 Speaker 2: When it comes to new technologies, sometimes it's hard to 51 00:02:08,280 --> 00:02:12,440 Speaker 2: distinguish between visionary leaders and visionary sales pitches HG. 52 00:02:12,600 --> 00:02:15,560 Speaker 1: Many CEOs right now are aligning with the next Big 53 00:02:15,560 --> 00:02:16,600 Speaker 1: Thing AI. 54 00:02:16,520 --> 00:02:19,239 Speaker 2: And that's even if the technology isn't yet a core 55 00:02:19,320 --> 00:02:20,040 Speaker 2: part of the business. 56 00:02:20,120 --> 00:02:22,720 Speaker 1: Get this, AHD. In the three months between December and 57 00:02:22,840 --> 00:02:25,040 Speaker 1: March this year, one hundred and seventy nine of the 58 00:02:25,040 --> 00:02:28,160 Speaker 1: top five hundred public companies in the US mentioned AI 59 00:02:28,400 --> 00:02:30,040 Speaker 1: as part of their earnings update. 60 00:02:29,840 --> 00:02:32,360 Speaker 2: And the average number of times AI was mentioned on 61 00:02:32,400 --> 00:02:34,600 Speaker 2: their earnings call was thirteen and HG. 62 00:02:34,800 --> 00:02:37,920 Speaker 1: Often companies can see a significant short term increase in 63 00:02:37,919 --> 00:02:41,120 Speaker 1: their market value and investor interest just by mentioning this 64 00:02:41,280 --> 00:02:42,960 Speaker 1: next big thing AI. YEP. 65 00:02:43,000 --> 00:02:45,560 Speaker 2: The S and P five hundred companies that mention AI 66 00:02:45,720 --> 00:02:48,520 Speaker 2: on their earnings call have seen a better average stock 67 00:02:48,560 --> 00:02:51,200 Speaker 2: price performance over the past twelve month compared. 68 00:02:50,919 --> 00:02:53,280 Speaker 1: To those who didn't mention AI on the earnings calls. 69 00:02:53,480 --> 00:02:56,000 Speaker 2: But if the promise of AI isn't implemented, it can 70 00:02:56,080 --> 00:02:58,040 Speaker 2: lead to distrust amongst investors. 71 00:02:58,240 --> 00:03:02,120 Speaker 1: For our second story, web Jet, the online travel bookings company, 72 00:03:02,120 --> 00:03:04,960 Speaker 1: has announced a record net profit after tax and now 73 00:03:04,960 --> 00:03:07,040 Speaker 1: it's thinking about breaking up with itself. 74 00:03:07,160 --> 00:03:10,720 Speaker 2: Wow. Talk about a comeback post COVID. Nobody knews that 75 00:03:10,800 --> 00:03:12,280 Speaker 2: even survived, tell me. 76 00:03:12,320 --> 00:03:15,680 Speaker 1: More so she. Webjet is the Australian online travel agency 77 00:03:15,680 --> 00:03:17,639 Speaker 1: that started back in nineteen ninety eight. 78 00:03:18,200 --> 00:03:21,560 Speaker 2: It's been known to help consumers compare and book flights, hotels, 79 00:03:21,600 --> 00:03:22,639 Speaker 2: and car hire, but. 80 00:03:22,840 --> 00:03:26,079 Speaker 1: During the COVID years, Webjet's consumer business got whacked. 81 00:03:26,240 --> 00:03:28,560 Speaker 2: It was forced to raise more than seven hundred and 82 00:03:28,600 --> 00:03:32,480 Speaker 2: fifty million dollars in shares and convertible notes after April 83 00:03:32,480 --> 00:03:35,040 Speaker 2: twenty twenty because travel went to a complete holt. 84 00:03:35,160 --> 00:03:37,120 Speaker 1: But at the same time it began building up the 85 00:03:37,120 --> 00:03:39,960 Speaker 1: B to B side of its business called webbeds. 86 00:03:40,080 --> 00:03:42,960 Speaker 2: This is where it acts as a room inventory conduit 87 00:03:43,040 --> 00:03:46,040 Speaker 2: between hotels and customers like tool operators and. 88 00:03:46,000 --> 00:03:48,560 Speaker 1: As she now. Webjets announced a net profit of over 89 00:03:48,560 --> 00:03:51,160 Speaker 1: one hundred and twenty eight million bucks wow twelve months 90 00:03:51,200 --> 00:03:52,000 Speaker 1: to March this year. 91 00:03:52,120 --> 00:03:54,839 Speaker 2: That's almost double its net profit from the year before. 92 00:03:54,640 --> 00:03:57,080 Speaker 1: And its consumer business is kind of now the forgotten 93 00:03:57,160 --> 00:04:00,360 Speaker 1: child because it's B to B platform earned three times 94 00:04:00,400 --> 00:04:02,040 Speaker 1: that of the B two C unit, and. 95 00:04:01,960 --> 00:04:05,560 Speaker 2: Now webjet is talking about splitting its business into two 96 00:04:05,640 --> 00:04:07,400 Speaker 2: separate ASX listed companies. 97 00:04:07,520 --> 00:04:09,600 Speaker 1: Tell me, I she what is the key learning here? 98 00:04:09,720 --> 00:04:12,680 Speaker 2: Sometimes the sum of a company's parts can be greater 99 00:04:12,760 --> 00:04:13,040 Speaker 2: than the. 100 00:04:13,000 --> 00:04:17,560 Speaker 1: Whole, especially when those parts operate under fundamentally different business models. 101 00:04:17,600 --> 00:04:20,479 Speaker 2: You see, while both of Webjet's businesses are in the 102 00:04:20,520 --> 00:04:24,719 Speaker 2: travel industry, it's B to B business. Webbeds serves a global. 103 00:04:24,320 --> 00:04:26,720 Speaker 1: Market and that's got a huge growth trajectory and a 104 00:04:26,839 --> 00:04:28,919 Speaker 1: much larger addressable market. 105 00:04:28,640 --> 00:04:31,800 Speaker 2: As opposed to webjet and trip Ninja, which largely serve 106 00:04:31,880 --> 00:04:33,359 Speaker 2: the Australian consumer market. 107 00:04:33,440 --> 00:04:36,200 Speaker 1: And as when these two businesses are combined under the 108 00:04:36,200 --> 00:04:39,840 Speaker 1: one ASX listed umbrella, it can dilute their overall valuation. 109 00:04:40,120 --> 00:04:43,240 Speaker 2: That's why splitting them into two distinct entities could unlock 110 00:04:43,279 --> 00:04:47,039 Speaker 2: significant value for both businesses, but particularly Webbeds. 111 00:04:47,200 --> 00:04:50,400 Speaker 1: For our third and final story, in Videos released its 112 00:04:50,440 --> 00:04:53,840 Speaker 1: first quarter results with an astronomical jump in profit of 113 00:04:53,839 --> 00:04:55,240 Speaker 1: a six hundred. 114 00:04:55,680 --> 00:04:58,080 Speaker 2: That just doesn't sound real, tell us what's going on here? 115 00:04:58,160 --> 00:04:59,600 Speaker 1: Just okay? Well? In Video has been one of the 116 00:04:59,600 --> 00:05:01,800 Speaker 1: most t talked about tech companies in the last year 117 00:05:01,839 --> 00:05:03,560 Speaker 1: thanks to chips. Computer chips. 118 00:05:03,560 --> 00:05:06,839 Speaker 2: That is, in Video started with manufacturing game chips, but 119 00:05:07,000 --> 00:05:10,000 Speaker 2: ten years ago decided to dabble in AI chips. 120 00:05:09,720 --> 00:05:12,080 Speaker 1: And boy boy did that bet payoff, because since then 121 00:05:12,120 --> 00:05:15,520 Speaker 1: it's become the biggest chip maker worldwide and now does. 122 00:05:15,640 --> 00:05:19,800 Speaker 2: In Videos just announced its first quarter results which smashed expectations. 123 00:05:19,800 --> 00:05:22,239 Speaker 1: We're talking to jumping profit from just over two billion 124 00:05:22,360 --> 00:05:24,880 Speaker 1: US dollars in the same period last year to almost 125 00:05:24,880 --> 00:05:26,440 Speaker 1: fifteen billion. 126 00:05:26,080 --> 00:05:28,920 Speaker 2: US dollars just to casual six hundred and twenty eight 127 00:05:28,960 --> 00:05:30,279 Speaker 2: percent increased and no big deal. 128 00:05:30,560 --> 00:05:33,320 Speaker 1: But with the AI boom still booming, in Vidia has 129 00:05:33,360 --> 00:05:36,160 Speaker 1: been cashing in on the enormous demand for AI data 130 00:05:36,200 --> 00:05:38,400 Speaker 1: centers and therefore it's AI chips. 131 00:05:38,400 --> 00:05:41,840 Speaker 2: In fact, the major tech giants Amazon, Google, Meta, and 132 00:05:41,960 --> 00:05:45,279 Speaker 2: Microsoft have all been spending big on data centers today 133 00:05:45,440 --> 00:05:47,360 Speaker 2: and plan to spend more in the near future. 134 00:05:47,480 --> 00:05:49,919 Speaker 1: And while in Video's manufacturing is still catching up to 135 00:05:49,920 --> 00:05:52,040 Speaker 1: the chip demand, it's got a toe the line between 136 00:05:52,200 --> 00:05:54,719 Speaker 1: matching demand and overshooting. 137 00:05:53,960 --> 00:05:55,919 Speaker 2: It the old Bullwep effect. 138 00:05:55,760 --> 00:05:57,560 Speaker 1: Yep, So what is the key learning here? 139 00:05:57,640 --> 00:06:00,280 Speaker 2: The Bullwep effect is when the supply of a PRODUCTDUT 140 00:06:00,360 --> 00:06:02,880 Speaker 2: is so short that customers on the wait list over 141 00:06:03,040 --> 00:06:04,040 Speaker 2: order the products. 142 00:06:03,720 --> 00:06:06,320 Speaker 1: And right now many tech companies are waiting for big 143 00:06:06,320 --> 00:06:08,120 Speaker 1: shipments of Nvidia's AI chips. 144 00:06:08,160 --> 00:06:11,080 Speaker 2: But once AI chips supply and demand a more imbalance, 145 00:06:11,279 --> 00:06:13,080 Speaker 2: buyers may get more chips than they. 146 00:06:13,000 --> 00:06:15,839 Speaker 1: Need and then they pull back just as new AI 147 00:06:15,920 --> 00:06:18,400 Speaker 1: chip makers are producing even more products. 148 00:06:18,560 --> 00:06:21,120 Speaker 2: So AI chip makers need to strike the right balance 149 00:06:21,160 --> 00:06:25,160 Speaker 2: between capitalizing on high demand and also avoid excess inventory. 150 00:06:25,240 --> 00:06:27,040 Speaker 1: Kind of reminds me of what's happening in the electric 151 00:06:27,160 --> 00:06:29,880 Speaker 1: vehicles industry, Foxman. If you want to win fifty bucks 152 00:06:29,880 --> 00:06:32,039 Speaker 1: to kick off your weekend, make sure you download the 153 00:06:32,040 --> 00:06:34,680 Speaker 1: Flux app and play our weekly game, quick Sticks. It'll 154 00:06:34,720 --> 00:06:36,719 Speaker 1: be the best start of the weekend you could possibly have. 155 00:06:36,880 --> 00:06:38,720 Speaker 2: Thanks for listening and we'll see you on Monday.