1 00:00:06,240 --> 00:00:09,080 Speaker 1: Welcome to Fear and Greed business news you can use today. 2 00:00:09,119 --> 00:00:12,640 Speaker 1: Prime Minister Anthony Aberanzi calls for calm amid the petrol 3 00:00:12,720 --> 00:00:16,640 Speaker 1: crisis and asks people to voluntarily reduce the amount of 4 00:00:16,640 --> 00:00:19,799 Speaker 1: fuel they use. The local share market has its best 5 00:00:19,880 --> 00:00:22,160 Speaker 1: day in a year on hopes of a quickish end 6 00:00:22,320 --> 00:00:25,680 Speaker 1: to the Middle East War and the Great KitKat. Heis 7 00:00:25,920 --> 00:00:29,000 Speaker 1: plus positive signs for new builds in the housing market, 8 00:00:29,400 --> 00:00:32,600 Speaker 1: and India kicks off a census of its one point 9 00:00:32,680 --> 00:00:36,159 Speaker 1: four billion people. It is Thursday, the second of April 10 00:00:36,200 --> 00:00:39,600 Speaker 1: twenty twenty six. I'm Michael Thompson and good morning Sean, Aylma. 11 00:00:40,000 --> 00:00:41,479 Speaker 2: Good morning Michael. 12 00:00:41,800 --> 00:00:44,840 Speaker 1: Sean the main story this morning. Prime Minister Anthony Albanesi 13 00:00:44,960 --> 00:00:47,720 Speaker 1: last night appealed to the nation to do their bit 14 00:00:48,159 --> 00:00:53,080 Speaker 1: in conserving petrol and diesel, but he stopped short, well short, 15 00:00:53,120 --> 00:00:56,600 Speaker 1: i would say, of suggesting fuel rationing as coming anytime 16 00:00:56,640 --> 00:00:58,160 Speaker 1: soon or it was even on the way at all. 17 00:00:58,480 --> 00:01:01,680 Speaker 1: In a five minute address, mister Albanezi made it clear 18 00:01:01,760 --> 00:01:05,480 Speaker 1: that he will be the primary voice during the energy crisis, 19 00:01:05,560 --> 00:01:08,880 Speaker 1: unlike COVID when the different state leaders all took over, 20 00:01:09,360 --> 00:01:12,520 Speaker 1: and he sought to calm fears about running out of petrol. 21 00:01:12,920 --> 00:01:15,640 Speaker 1: He did say that the monster ahead would not be easy, 22 00:01:15,920 --> 00:01:18,720 Speaker 1: but that people should go about their business as usual, 23 00:01:18,840 --> 00:01:21,360 Speaker 1: including following through with easter plans. 24 00:01:21,959 --> 00:01:25,240 Speaker 2: He also asked people to exercise common sense and consider 25 00:01:25,440 --> 00:01:30,080 Speaker 2: others like farmers and miners and tradespeople whose livelihoods depend 26 00:01:30,280 --> 00:01:34,600 Speaker 2: on getting diesel into their trucks significantly alban easy asks. 27 00:01:35,240 --> 00:01:40,199 Speaker 2: Rather than told people to make sensible choices, The Prime 28 00:01:40,200 --> 00:01:43,679 Speaker 2: Minister suggested people switch to catching trains or buses or 29 00:01:43,720 --> 00:01:47,480 Speaker 2: trams to work for example. Also yesterday, ahead of that 30 00:01:47,920 --> 00:01:51,000 Speaker 2: the five minute speech last night, Treasure Jim Chalmers said 31 00:01:51,040 --> 00:01:53,880 Speaker 2: the Australian Tax Office and banks had agreed to provide 32 00:01:53,920 --> 00:01:57,120 Speaker 2: temporary relief of payments for small businesses struggling to pay 33 00:01:57,160 --> 00:01:59,440 Speaker 2: their bills due to spike and fuel prices. 34 00:02:00,800 --> 00:02:03,320 Speaker 1: It really isn't often, isn't that we get the Prime 35 00:02:03,320 --> 00:02:07,200 Speaker 1: Minister addressing the nation and all four broadcast networks covering 36 00:02:07,240 --> 00:02:09,840 Speaker 1: it and radio stations and everything. It really is kind 37 00:02:09,840 --> 00:02:12,760 Speaker 1: of right across the media. Kevin Rudd did it back 38 00:02:12,800 --> 00:02:15,839 Speaker 1: in the global financial crisis in two thousand and eight. 39 00:02:16,080 --> 00:02:18,600 Speaker 1: Scott Morrison did the same at the start of COVID, 40 00:02:19,680 --> 00:02:23,440 Speaker 1: having watched that last night. It didn't come away with 41 00:02:23,520 --> 00:02:28,160 Speaker 1: it as though I knew anything new. There was no 42 00:02:28,320 --> 00:02:31,079 Speaker 1: kind of new information coming through there. There wasn't any 43 00:02:31,160 --> 00:02:33,679 Speaker 1: kind of big plans put in place or any detail 44 00:02:33,760 --> 00:02:37,520 Speaker 1: in it. Was it just designed essentially to make it 45 00:02:37,560 --> 00:02:40,680 Speaker 1: look as though the government is in control of the situation. 46 00:02:41,520 --> 00:02:45,720 Speaker 2: I think so, in specifically that Anthony Albernezi is in 47 00:02:45,760 --> 00:02:49,000 Speaker 2: control of the situation, even though the government has very 48 00:02:49,040 --> 00:02:51,840 Speaker 2: little control of the situation because it's all about supply, 49 00:02:52,040 --> 00:02:54,760 Speaker 2: a lack of supply. Now, the PM has been criticized 50 00:02:54,760 --> 00:02:58,799 Speaker 2: for not doing enough to calm Australian's nerves. Probably that's 51 00:02:58,800 --> 00:03:01,120 Speaker 2: what he was trying to do last night, and he 52 00:03:01,240 --> 00:03:03,760 Speaker 2: is trying to reduce demand, which is something there is 53 00:03:03,800 --> 00:03:07,919 Speaker 2: some control over. But really, last night, don't you reckon 54 00:03:08,320 --> 00:03:10,640 Speaker 2: stage managed to make it look like he was in 55 00:03:10,720 --> 00:03:13,840 Speaker 2: charge because as you said, there was no kind of 56 00:03:13,880 --> 00:03:16,440 Speaker 2: new details or information. And if I was one of 57 00:03:16,440 --> 00:03:18,800 Speaker 2: the four broadcast networks of the radio networks and I 58 00:03:18,880 --> 00:03:22,920 Speaker 2: had interrupted five minutes of my programming for that, yeah, 59 00:03:24,160 --> 00:03:28,600 Speaker 2: it's almost like a political speech. Maybe I'm being too harsh. 60 00:03:28,240 --> 00:03:30,880 Speaker 1: No, I think I think that's entirely reasonable. And if 61 00:03:30,880 --> 00:03:33,160 Speaker 1: it was just to kind of reassure people, all right, 62 00:03:33,440 --> 00:03:36,280 Speaker 1: but it does make you wonder, Okay, then is this 63 00:03:36,680 --> 00:03:40,080 Speaker 1: kind of just the opening gambit, and then in coming 64 00:03:40,120 --> 00:03:43,720 Speaker 1: weeks there might be another one where the controls and 65 00:03:43,760 --> 00:03:46,400 Speaker 1: the measures are a little bit more concrete than what 66 00:03:46,440 --> 00:03:47,320 Speaker 1: we saw last night. 67 00:03:47,840 --> 00:03:51,480 Speaker 2: But even during COVID, we only had one national address 68 00:03:51,480 --> 00:03:54,720 Speaker 2: from Scott Morrison, not a bunch of them. I mean, 69 00:03:54,840 --> 00:03:56,840 Speaker 2: yesterday was a tough day. So he announced it like 70 00:03:56,920 --> 00:03:59,120 Speaker 2: at lunchtime or a bit before lunchtime. So everyone went 71 00:03:59,160 --> 00:04:01,400 Speaker 2: and filled up their cars because they're worried that rationing's 72 00:04:01,440 --> 00:04:02,960 Speaker 2: going to come in, soa like there was a run 73 00:04:03,000 --> 00:04:05,880 Speaker 2: on petrol stations. You also had US President Donald Trump 74 00:04:05,960 --> 00:04:09,360 Speaker 2: yesterday telling countries to get your own oil. He's not 75 00:04:09,400 --> 00:04:13,320 Speaker 2: happy about nations not supporting him in the Middle East War. 76 00:04:13,880 --> 00:04:15,880 Speaker 2: The President also said he expected the war and I 77 00:04:15,960 --> 00:04:17,680 Speaker 2: ran to end in the next two to three weeks. 78 00:04:17,800 --> 00:04:23,760 Speaker 2: That helped equity markets definitely. He will talk later this morning. 79 00:04:24,080 --> 00:04:27,039 Speaker 2: He's got a national address himself later this morning. Reading 80 00:04:27,080 --> 00:04:29,799 Speaker 2: between the lines. No matter what Donald Trump actually says, 81 00:04:30,800 --> 00:04:33,480 Speaker 2: the federal government is not confident that the war will 82 00:04:33,560 --> 00:04:36,120 Speaker 2: end quickly or that oil will be flying through the 83 00:04:36,120 --> 00:04:38,680 Speaker 2: Strait of Moors anytime soon now. 84 00:04:38,720 --> 00:04:42,040 Speaker 1: Ahead of last night's address Sean, the local share market 85 00:04:42,080 --> 00:04:44,960 Speaker 1: went on an absolute tear, kicking off the new quarter 86 00:04:45,080 --> 00:04:47,919 Speaker 1: up two point two percent, following a strong lead in 87 00:04:47,960 --> 00:04:51,960 Speaker 1: from Wall Street after comments from US President Donald Trump 88 00:04:52,040 --> 00:04:54,480 Speaker 1: to the Middle East war would be over in weeks. 89 00:04:56,440 --> 00:04:58,400 Speaker 2: Michael, it was likely eight percent sull offon March had 90 00:04:58,400 --> 00:05:02,240 Speaker 2: been forgotten, sort of. It was the best one day 91 00:05:02,360 --> 00:05:05,360 Speaker 2: gain in twelve months, added about sixty eight billion dollars 92 00:05:05,360 --> 00:05:08,479 Speaker 2: in value to the ASEX two hundred. Trump's comments and 93 00:05:08,520 --> 00:05:11,080 Speaker 2: reports that the Iranian president was also seeking an end 94 00:05:11,120 --> 00:05:14,440 Speaker 2: to the war sent to oil prices. Lower Brent headed 95 00:05:14,480 --> 00:05:17,960 Speaker 2: back towards one hundred US dollars. Barrel gold was back 96 00:05:18,000 --> 00:05:22,279 Speaker 2: above four thy seven hundred US announced briefly anyway. The 97 00:05:22,360 --> 00:05:25,120 Speaker 2: local miners yesterday, with the biggest winners on the share market. 98 00:05:25,160 --> 00:05:28,119 Speaker 2: BHP led the way up nearly five percent, Fortesky middles 99 00:05:28,200 --> 00:05:31,040 Speaker 2: rose four percent, Rio three and a half percent. All 100 00:05:31,080 --> 00:05:35,680 Speaker 2: the banks did well, led by Commonwealth Bank. Macquary outperformed. 101 00:05:35,680 --> 00:05:38,400 Speaker 2: Some of the property consumer discretionary stocks were among the 102 00:05:38,440 --> 00:05:42,159 Speaker 2: worst performers, suggesting that underneath all this noise, all this 103 00:05:42,200 --> 00:05:45,000 Speaker 2: stuff that's going on around the war. There's still plenty 104 00:05:45,000 --> 00:05:48,960 Speaker 2: of concerns about the state of the Australian economy. Anyway, 105 00:05:49,160 --> 00:05:51,359 Speaker 2: great day for the market. In fact, of the top 106 00:05:51,480 --> 00:05:55,960 Speaker 2: thirty stocks, only one transurban, the Toll Road Group went 107 00:05:56,000 --> 00:05:56,880 Speaker 2: backwards yesterday. 108 00:05:57,360 --> 00:05:58,880 Speaker 1: Oh wow, that is a good day. 109 00:05:59,240 --> 00:05:59,400 Speaker 3: Now. 110 00:05:59,520 --> 00:06:03,160 Speaker 1: You mentioned earlier that Donald Trump is speaking later this 111 00:06:03,320 --> 00:06:07,800 Speaker 1: morning Australian time. Yesterday, as we just mentioned, he said 112 00:06:07,839 --> 00:06:10,359 Speaker 1: that the US will leave Iran in two to three weeks, 113 00:06:10,440 --> 00:06:12,800 Speaker 1: adding that the US will have nothing to do with 114 00:06:12,960 --> 00:06:16,479 Speaker 1: reopening the Strait of Humus and Iran doesn't have to 115 00:06:16,520 --> 00:06:18,039 Speaker 1: make a deal for the US to leave. 116 00:06:18,880 --> 00:06:21,760 Speaker 2: Yes. Trump also called in other countries to build up 117 00:06:21,760 --> 00:06:26,120 Speaker 2: some courage. Also said go get your own oil. Meanwhile, 118 00:06:26,480 --> 00:06:29,800 Speaker 2: fighting continues. There was some good news for Australia on 119 00:06:29,839 --> 00:06:33,600 Speaker 2: the oil front. Singapore is Australia's top source of petrol's 120 00:06:33,600 --> 00:06:36,400 Speaker 2: second largest source of diesel. The two countries foreign ministers 121 00:06:36,680 --> 00:06:39,240 Speaker 2: met yesterday in Camber. They released the statement saying that 122 00:06:39,400 --> 00:06:44,120 Speaker 2: accelerate arrangements that support trade. Also, Energy Minister Chris Bowen 123 00:06:44,640 --> 00:06:47,400 Speaker 2: was asked in question time about shipments of oil. He 124 00:06:47,480 --> 00:06:51,440 Speaker 2: said no, no extra shipments of oil. Had been delayed 125 00:06:51,520 --> 00:06:52,880 Speaker 2: or canceled over the past week. 126 00:06:53,520 --> 00:06:56,880 Speaker 1: Now, Sean, if you want something completely different to listen 127 00:06:56,920 --> 00:07:01,480 Speaker 1: to today, something well away from Petrol and the Middle East, 128 00:07:02,279 --> 00:07:04,680 Speaker 1: Fear and Greed Q and a coming up after the 129 00:07:04,720 --> 00:07:08,120 Speaker 1: show today with our duringpathy from corn Ferry. Is a 130 00:07:08,160 --> 00:07:09,640 Speaker 1: really interesting chat. 131 00:07:10,080 --> 00:07:11,680 Speaker 2: It is, and I think we all need a bit 132 00:07:11,680 --> 00:07:14,800 Speaker 2: of a break from what's going on in the Middle East. 133 00:07:15,160 --> 00:07:20,200 Speaker 2: All about executive pay. How much is too much? How 134 00:07:20,240 --> 00:07:23,880 Speaker 2: should we judge executive pay? How much should people earn? 135 00:07:24,600 --> 00:07:29,000 Speaker 2: Is Elon Musks outrageous, hundreds of billions of dollars pay 136 00:07:29,400 --> 00:07:32,360 Speaker 2: too much? We talked to Al about that. It is 137 00:07:32,400 --> 00:07:33,320 Speaker 2: a fantastic chat. 138 00:07:33,560 --> 00:07:35,560 Speaker 1: Yeah, I love that Elon Musk even get to look 139 00:07:35,560 --> 00:07:37,640 Speaker 1: in on this one. It is really really good. It's 140 00:07:37,680 --> 00:07:40,560 Speaker 1: coming up a bit later on, but before that, plenty 141 00:07:40,600 --> 00:07:42,160 Speaker 1: is still to get through. We'll be back in a 142 00:07:42,160 --> 00:07:51,960 Speaker 1: moment with the rest of the day's business news shown. 143 00:07:52,040 --> 00:07:55,240 Speaker 1: The supply of housing across the country is rising, with 144 00:07:55,400 --> 00:07:59,360 Speaker 1: building approvals jumping thirty percent in February thanks to a 145 00:07:59,480 --> 00:08:04,520 Speaker 1: surge in units. Figures for units are notoriously volatile, and 146 00:08:04,560 --> 00:08:06,800 Speaker 1: so if you look at the trend, which Sean as 147 00:08:06,840 --> 00:08:10,680 Speaker 1: we know. The trend is our friend. Building approvals are 148 00:08:10,760 --> 00:08:11,760 Speaker 1: rising steadily. 149 00:08:12,400 --> 00:08:14,720 Speaker 2: Do you think you could be an economist later in life? 150 00:08:15,280 --> 00:08:17,480 Speaker 1: I think I'll just be one of those that, like 151 00:08:17,520 --> 00:08:20,560 Speaker 1: an informally trained one, one that's just absorbed at by 152 00:08:20,640 --> 00:08:24,440 Speaker 1: osmosis just by hanging around with you for so long 153 00:08:24,720 --> 00:08:26,760 Speaker 1: that I'm just going to start dropping these terms. The 154 00:08:26,800 --> 00:08:27,720 Speaker 1: trend is your friend. 155 00:08:28,480 --> 00:08:31,760 Speaker 2: In elastic you and the cook talk every Monday morning, 156 00:08:31,840 --> 00:08:33,080 Speaker 2: say you know you're almost there? 157 00:08:33,160 --> 00:08:36,120 Speaker 1: I would say I treat that as I treat that 158 00:08:36,160 --> 00:08:42,280 Speaker 1: as my personal economics tutorial every Monday. It is fantastic 159 00:08:42,320 --> 00:08:44,679 Speaker 1: getting to quiz him on all kinds of things. It 160 00:08:44,800 --> 00:08:46,000 Speaker 1: is just great. 161 00:08:46,400 --> 00:08:48,440 Speaker 2: You don't need a pete when you've got a personal 162 00:08:48,440 --> 00:08:51,640 Speaker 2: economist anyway. The last few months, approvals have Hobbard at 163 00:08:51,679 --> 00:08:54,680 Speaker 2: a level just under two hundred thousand units annually. That is, 164 00:08:54,720 --> 00:08:56,839 Speaker 2: of course below the government's housing a cord goal of 165 00:08:56,840 --> 00:08:59,800 Speaker 2: about two hundred and forty thousand units. Mind you, better 166 00:08:59,800 --> 00:09:03,880 Speaker 2: than where we were six months ago. With slowing population growth. 167 00:09:04,360 --> 00:09:07,600 Speaker 2: The current level is closer to balancing supply and demand. 168 00:09:07,640 --> 00:09:10,160 Speaker 2: That's good, but there is still a short form from 169 00:09:10,160 --> 00:09:14,360 Speaker 2: the boom in immigration in recent years approvals, of course 170 00:09:14,440 --> 00:09:17,480 Speaker 2: is the first part. You've then got to build those 171 00:09:17,520 --> 00:09:22,520 Speaker 2: houses and apartments and freestanding places, and unfortunately building completions 172 00:09:22,559 --> 00:09:26,360 Speaker 2: haven't started to pick up yet though they should. What's 173 00:09:26,400 --> 00:09:29,040 Speaker 2: all this meant for house prices, which we know have 174 00:09:29,160 --> 00:09:30,720 Speaker 2: come off of boil at least in New South Wales 175 00:09:30,760 --> 00:09:34,280 Speaker 2: and Victoria. More supply should keep a lid on prices, 176 00:09:34,440 --> 00:09:37,240 Speaker 2: as will hire registrates. Of course, still plenty of other 177 00:09:37,280 --> 00:09:39,840 Speaker 2: government incentives, things like the first time bioscheme, the helped 178 00:09:39,840 --> 00:09:43,000 Speaker 2: to buy schemes that's still fueling the market, particularly at 179 00:09:43,040 --> 00:09:43,760 Speaker 2: that bottom end. 180 00:09:44,320 --> 00:09:48,080 Speaker 1: Okay. The boss of Anthropic Sean, which is of course 181 00:09:48,080 --> 00:09:50,760 Speaker 1: one of the leading AI companies in the world, was 182 00:09:50,800 --> 00:09:55,240 Speaker 1: in Canbury yesterday visiting Prime Minister Anthony Alberanezi and Industry 183 00:09:55,280 --> 00:09:59,640 Speaker 1: Minister tim Airs. Dario ama Day signed a memorandum of 184 00:09:59,760 --> 00:10:03,520 Speaker 1: under standing in which Anthropic pledged to support the government's 185 00:10:03,559 --> 00:10:08,520 Speaker 1: framework on data centers and AI markers. The framework includes 186 00:10:08,559 --> 00:10:13,800 Speaker 1: the expectation that new data center projects add electricity supply, 187 00:10:14,080 --> 00:10:17,680 Speaker 1: essentially to cover their usage. Anthropic is also going to 188 00:10:17,679 --> 00:10:21,480 Speaker 1: share data from its Economic Index, which tracks how AI 189 00:10:21,800 --> 00:10:25,880 Speaker 1: is being used across the economy. That's really interesting stuff. Yeah. 190 00:10:25,960 --> 00:10:29,319 Speaker 2: It also commits Anthropic to sharing research on emerging model 191 00:10:29,400 --> 00:10:33,760 Speaker 2: capabilities and risks with Australia's AI Safety Institute, participating in 192 00:10:33,840 --> 00:10:39,160 Speaker 2: joint safety evaluations, and collaborating with Australian academic institutions. Now, 193 00:10:40,040 --> 00:10:43,920 Speaker 2: Dario amode is how do we describe it? And it's 194 00:10:43,920 --> 00:10:47,200 Speaker 2: almost like the Elon Musk equivalent in the AI world. 195 00:10:47,440 --> 00:10:50,960 Speaker 2: Maybe not quite, but there are an three big large 196 00:10:51,080 --> 00:10:54,760 Speaker 2: language model producers. Anthropic is one of those. Google is another, 197 00:10:55,240 --> 00:10:58,760 Speaker 2: and CHETTP or OpenAI is the third. So this person 198 00:10:58,960 --> 00:11:03,320 Speaker 2: matters the biggest issues close to your heart, copyright and 199 00:11:03,400 --> 00:11:08,240 Speaker 2: whether these large language models should get access free access 200 00:11:09,160 --> 00:11:12,719 Speaker 2: to copyrighted material. The argument is that now, of course 201 00:11:12,760 --> 00:11:16,600 Speaker 2: they shouldn't get access to copyrighted material. Anthropic and others say, well, 202 00:11:16,679 --> 00:11:19,200 Speaker 2: yet we should, because this is all just sort of 203 00:11:19,240 --> 00:11:23,959 Speaker 2: a macroeconomic discussion that didn't get much of a run 204 00:11:24,120 --> 00:11:26,800 Speaker 2: yesterday with the Prime Minister, or at least not publicly. 205 00:11:27,080 --> 00:11:29,640 Speaker 2: Anthropics also pretty famous. It's in illegal battle with the 206 00:11:29,679 --> 00:11:34,160 Speaker 2: Trump administration after refusing to allow its AI systems to 207 00:11:34,160 --> 00:11:38,959 Speaker 2: be used in autonomous weapons or mass domestic surveillance. So 208 00:11:39,080 --> 00:11:40,760 Speaker 2: that's that argument going on there. 209 00:11:41,000 --> 00:11:43,959 Speaker 1: Yeah, that copyright disputed is a big one. And Anthropic 210 00:11:44,000 --> 00:11:46,840 Speaker 1: has been involved in a very large payout to a 211 00:11:46,840 --> 00:11:49,480 Speaker 1: lot of authors and producers of work in the past 212 00:11:50,040 --> 00:11:53,600 Speaker 1: last year in the US, where it was billions of 213 00:11:53,679 --> 00:11:56,679 Speaker 1: dollars that was paid out to people whose works had 214 00:11:56,720 --> 00:12:01,560 Speaker 1: been absorbed into the large language for that. So very 215 00:12:01,559 --> 00:12:03,839 Speaker 1: interesting to see where that goes. Exciting to see though, 216 00:12:03,880 --> 00:12:07,600 Speaker 1: that there will be cooperational medical research as well, because 217 00:12:07,640 --> 00:12:09,960 Speaker 1: that is the kind of thing where there is just 218 00:12:10,040 --> 00:12:12,839 Speaker 1: so much potential when you have a company like Anthropic 219 00:12:12,920 --> 00:12:17,880 Speaker 1: working on this that the breakthroughs are limitless. Really is 220 00:12:17,960 --> 00:12:23,360 Speaker 1: quite exciting anyway. Donald Trump's top trade bureaucrat, Donald Trump's 221 00:12:23,360 --> 00:12:26,040 Speaker 1: top trade bureaucrat. That is a tongue twister, sure, and 222 00:12:26,120 --> 00:12:28,600 Speaker 1: say that ten times fast. It's both very boring and 223 00:12:28,640 --> 00:12:32,320 Speaker 1: also very challenging. But it says that Australia's unfair drug 224 00:12:32,360 --> 00:12:35,920 Speaker 1: pricing practices are undermining US innovation and has worn that 225 00:12:36,040 --> 00:12:40,960 Speaker 1: Labour's tax transparency push will harm big companies. He has 226 00:12:41,000 --> 00:12:43,920 Speaker 1: also raised the alarm about the unjust treatment of US 227 00:12:44,000 --> 00:12:47,679 Speaker 1: tech giants through content quotas and the social media ban 228 00:12:49,040 --> 00:12:51,720 Speaker 1: list of grievances. Of course, it's quite a long one, 229 00:12:51,760 --> 00:12:54,440 Speaker 1: but it's part of a compilation by the US Trade 230 00:12:54,720 --> 00:12:59,280 Speaker 1: Ambassador Jameson Greer for an annual report on foreign trade barriers. 231 00:13:00,000 --> 00:13:02,120 Speaker 2: They put together. The five hundred and thirty four page 232 00:13:02,200 --> 00:13:06,360 Speaker 2: report looks at every country and catalogs how US firms 233 00:13:06,360 --> 00:13:11,040 Speaker 2: are inhibited overseas. It's kind of an annual story, this one. 234 00:13:11,240 --> 00:13:14,000 Speaker 2: The report, what it does do really provides the ammunition 235 00:13:14,040 --> 00:13:19,360 Speaker 2: to the Trump administration, particularly around the PBS. Here in Australia, 236 00:13:20,240 --> 00:13:23,280 Speaker 2: Trump and the administration has repeatedly threatened to impose Harris 237 00:13:23,280 --> 00:13:27,200 Speaker 2: and pharmaceuticals that would hit Australian companies like CSL. The 238 00:13:27,240 --> 00:13:30,239 Speaker 2: focus in this year's report is on the way Australia 239 00:13:30,320 --> 00:13:33,960 Speaker 2: acts as a single buyer of prescription medicines and gate 240 00:13:34,040 --> 00:13:37,880 Speaker 2: keeps their inclusion on the subsidized Pharmaceutical Benefit scheme. That's 241 00:13:37,920 --> 00:13:42,000 Speaker 2: something that the Trump administration has never ever liked, and 242 00:13:42,040 --> 00:13:43,400 Speaker 2: it's getting another run. 243 00:13:43,600 --> 00:13:47,760 Speaker 1: Turning into international news now. The world's most populous nation, India, 244 00:13:47,880 --> 00:13:51,000 Speaker 1: has just kicked off a census that's one point four 245 00:13:51,120 --> 00:13:55,520 Speaker 1: billion people, hoping to count every single person in the 246 00:13:55,640 --> 00:13:59,200 Speaker 1: nation over a twelve month timeframe. It is the first 247 00:13:59,200 --> 00:14:02,760 Speaker 1: population in more than fifteen years. There are thirty three 248 00:14:02,960 --> 00:14:06,160 Speaker 1: questions it is. I'll just say it's quite a logistical 249 00:14:06,200 --> 00:14:08,200 Speaker 1: exercises in touch of an. 250 00:14:08,160 --> 00:14:11,920 Speaker 2: Understand the elections in the elections last year and the 251 00:14:11,960 --> 00:14:16,640 Speaker 2: sheer number of electoral officials that were required in order 252 00:14:16,720 --> 00:14:17,080 Speaker 2: to do it. 253 00:14:17,640 --> 00:14:21,200 Speaker 1: There are more than three million officials for the census. 254 00:14:21,400 --> 00:14:24,920 Speaker 1: They'll spend a year counting people. This is it's the 255 00:14:25,000 --> 00:14:30,240 Speaker 1: nation's sixteenth census, the eighth since independence in nineteen forty seven. 256 00:14:31,200 --> 00:14:34,480 Speaker 1: It is also going to include caste data and is 257 00:14:34,520 --> 00:14:40,520 Speaker 1: seen as crucial for policy welfared delivery, political representation as well. 258 00:14:40,600 --> 00:14:46,280 Speaker 1: In really a population one point four billion people, it 259 00:14:46,360 --> 00:14:47,160 Speaker 1: is just massive. 260 00:14:47,920 --> 00:14:51,000 Speaker 2: Yes, so the exercise will exercise will spend thirty six 261 00:14:51,040 --> 00:14:55,920 Speaker 2: states in federally ministered territories, seven thousand subdistricts, almost ten 262 00:14:55,960 --> 00:15:00,520 Speaker 2: thousand towns, nearly six hundred and forty thousand villages. Work 263 00:15:00,800 --> 00:15:04,560 Speaker 2: carried out by enumerators and supervisors. Do you know what 264 00:15:04,640 --> 00:15:07,120 Speaker 2: an enumerator is? I had no idea. I'd never seen 265 00:15:07,120 --> 00:15:11,000 Speaker 2: the word before in my life. Enumerator Yes, sorry. 266 00:15:11,520 --> 00:15:13,280 Speaker 1: Oh no, god, no you are it's going to make 267 00:15:13,320 --> 00:15:16,480 Speaker 1: me guess. It is someone who enumerates things that's right. 268 00:15:16,720 --> 00:15:21,240 Speaker 2: A data collector is an enumerator right anyway, A bunch 269 00:15:21,280 --> 00:15:25,120 Speaker 2: of enumerators and supervisors. Basically, they're like school teachers, government staff, 270 00:15:25,160 --> 00:15:28,000 Speaker 2: local officials. They'll be doing it now for the first time, 271 00:15:28,400 --> 00:15:32,640 Speaker 2: it'll be conducted digitally, so the enumerators will have mobile apps. 272 00:15:33,480 --> 00:15:36,120 Speaker 2: Some of the questions in the first phase this year, 273 00:15:36,120 --> 00:15:39,480 Speaker 2: So there's two phases. Does your house have a concrete 274 00:15:39,560 --> 00:15:42,440 Speaker 2: roof or a thatched one? What is your main cerial 275 00:15:42,760 --> 00:15:45,000 Speaker 2: something we all need to know. Do you have internet 276 00:15:45,040 --> 00:15:48,520 Speaker 2: access or just a basic mobile phone? How many married 277 00:15:48,560 --> 00:15:51,400 Speaker 2: couples live under your roof? The second phase is scheduled 278 00:15:51,400 --> 00:15:55,800 Speaker 2: for February next year. There'll be more about demographics, education, migration, fertility. 279 00:15:56,040 --> 00:16:00,680 Speaker 2: But what an extremely incredible effort to actually get around 280 00:16:00,680 --> 00:16:02,480 Speaker 2: to one point four billion people got. 281 00:16:02,480 --> 00:16:04,800 Speaker 1: In the data that is going to come out of that. 282 00:16:05,320 --> 00:16:07,920 Speaker 1: Oh God, you just have a field day kind of 283 00:16:07,960 --> 00:16:11,520 Speaker 1: mining through all of that. One last one to finish 284 00:16:11,560 --> 00:16:16,040 Speaker 1: this off, Sean, approximately twelve tons of the Formula one 285 00:16:16,160 --> 00:16:20,600 Speaker 1: KitKat chocolate bars have been stolen while transitting through Europe. 286 00:16:20,720 --> 00:16:21,200 Speaker 2: That is a. 287 00:16:21,200 --> 00:16:24,600 Speaker 1: Sentence I honestly thought I would never say a truck 288 00:16:24,800 --> 00:16:28,480 Speaker 1: carrying precisely, four hundred and thirteen thy seven hundred and 289 00:16:28,520 --> 00:16:32,600 Speaker 1: ninety three units of Kitkat's new chocolate range has gone missing, 290 00:16:32,800 --> 00:16:37,160 Speaker 1: having left Central Italy on a thirteen hundred kilometer journey 291 00:16:37,200 --> 00:16:37,760 Speaker 1: to Poland. 292 00:16:39,000 --> 00:16:42,040 Speaker 2: KitKat became F One's official chocolate bar last year, and 293 00:16:42,240 --> 00:16:47,680 Speaker 2: in January, Neslane the KitKat revealed the first ever chocolate 294 00:16:47,760 --> 00:16:51,880 Speaker 2: molded F one car so you could eat. It features 295 00:16:51,880 --> 00:16:55,080 Speaker 2: a smooth milk chocolate shell with embedded Crispy, Cereal and 296 00:16:55,120 --> 00:16:58,720 Speaker 2: Wayfer pieces, something to get really really excited about. Then 297 00:16:58,720 --> 00:17:00,400 Speaker 2: there was a second release of the release of the 298 00:17:00,400 --> 00:17:04,560 Speaker 2: second product, the F one KitKat Chunky. This is all according 299 00:17:04,480 --> 00:17:07,960 Speaker 2: to The New York Times. However, a whole shipment of 300 00:17:08,000 --> 00:17:11,080 Speaker 2: the F one chocolates have gone missing. So a statement 301 00:17:11,119 --> 00:17:13,880 Speaker 2: from KitKat said, I quite we have always We've always 302 00:17:13,960 --> 00:17:16,679 Speaker 2: encouraged people to have a break with KitKat, but it 303 00:17:16,720 --> 00:17:19,760 Speaker 2: seems thieves have taken the message too literally and made 304 00:17:19,800 --> 00:17:21,719 Speaker 2: a break with more than twelve tons of our chocolate. 305 00:17:22,240 --> 00:17:26,119 Speaker 2: Can quote. Investigations are going on. Apparently this is not 306 00:17:26,200 --> 00:17:29,520 Speaker 2: an isolated incident. So apparently chocolate theft is quite the 307 00:17:29,600 --> 00:17:30,640 Speaker 2: thing in Europe. 308 00:17:31,440 --> 00:17:34,119 Speaker 1: God, oh, that's a lot of chocolate to go missing 309 00:17:34,119 --> 00:17:36,280 Speaker 1: four hundred and thirteen thousand bars of it. 310 00:17:36,359 --> 00:17:38,600 Speaker 2: I mean it's easter, but still. 311 00:17:38,400 --> 00:17:42,160 Speaker 1: Yeah, yeah, yeah, imagine trying to kind of sell those 312 00:17:42,160 --> 00:17:44,439 Speaker 1: on the black market. If there is one for chocolate, 313 00:17:44,520 --> 00:17:46,159 Speaker 1: you walk into the pub and go, you want to 314 00:17:46,200 --> 00:17:48,520 Speaker 1: buy a couple of one hundred thousand KitKat? If one 315 00:17:48,560 --> 00:17:51,480 Speaker 1: kitd cat, that's right, gone dirt cheap, fell off the 316 00:17:51,480 --> 00:17:54,080 Speaker 1: back of a truck. Anyway, Sean, this is normally where 317 00:17:54,119 --> 00:17:58,000 Speaker 1: we would part ways. Not today. Throughout the last four 318 00:17:58,040 --> 00:18:01,520 Speaker 1: weeks or so, we've a bit of a special feature 319 00:18:01,600 --> 00:18:02,760 Speaker 1: running we have. 320 00:18:03,000 --> 00:18:05,840 Speaker 2: We've had the Fearing Greed Accelerated series with air Wallas, 321 00:18:06,200 --> 00:18:08,840 Speaker 2: where we have been exploring what it takes for businesses 322 00:18:08,840 --> 00:18:10,679 Speaker 2: to grow with our borders and why having a what 323 00:18:10,840 --> 00:18:16,040 Speaker 2: next mindset can be your competitive advantage. A Niche Sinha 324 00:18:16,359 --> 00:18:20,760 Speaker 2: is the co founder and chief operating officer at Upcover. Now. 325 00:18:20,880 --> 00:18:24,800 Speaker 2: Upcover aims to uppercovers aim is to bring business insurance 326 00:18:24,800 --> 00:18:27,679 Speaker 2: into the twenty first century. It's using air Wallas infrastructure 327 00:18:27,680 --> 00:18:30,879 Speaker 2: for its daily financial operations, including their global treasury and 328 00:18:30,960 --> 00:18:33,600 Speaker 2: payments products, as well as e FX and corporate cards. 329 00:18:33,960 --> 00:18:36,480 Speaker 2: A Niche Welcome to Fearing Greeds Accelerated Series. 330 00:18:37,080 --> 00:18:40,000 Speaker 3: Thanks Sean, thanks for having me give me the elevator pitch. 331 00:18:40,040 --> 00:18:43,960 Speaker 3: Explain Upcover absolutely. So you already mentioned we're bringing business 332 00:18:43,960 --> 00:18:46,560 Speaker 3: insurance into twenty first century. We work with sixty thousand 333 00:18:46,560 --> 00:18:51,000 Speaker 3: businesses across Australia and we are Australia's only additional insurance 334 00:18:51,040 --> 00:18:55,119 Speaker 3: platform for small businesses, which means businesses of all sheeps 335 00:18:55,119 --> 00:18:58,440 Speaker 3: and sizes can land themselves on Upcover and get themselves 336 00:18:58,520 --> 00:19:05,080 Speaker 3: sorted with insurance literally within minutes or even less than that. Yeah, 337 00:19:05,080 --> 00:19:09,640 Speaker 3: we're the fastest insurance experience for small businesses in Australia. 338 00:19:09,800 --> 00:19:13,760 Speaker 2: Okay, So you are in an industry dominated by incumbents, 339 00:19:13,960 --> 00:19:16,520 Speaker 2: many of them have been around four years for decades. 340 00:19:16,560 --> 00:19:21,640 Speaker 2: Shall we say hit starts deffinitely, but also legacies. How 341 00:19:21,680 --> 00:19:24,160 Speaker 2: can you do something better? How can you always think 342 00:19:24,200 --> 00:19:26,639 Speaker 2: about what's next to allow you to compete? 343 00:19:27,359 --> 00:19:30,440 Speaker 3: I think the way we differentiate ourselves is largely by 344 00:19:30,600 --> 00:19:33,040 Speaker 3: being as close to customers as possible. As I said, 345 00:19:33,040 --> 00:19:35,159 Speaker 3: we work with thousands of businesses. We have hundreds of 346 00:19:35,160 --> 00:19:39,639 Speaker 3: businesses contacting us every day. We have support windows and 347 00:19:39,680 --> 00:19:42,240 Speaker 3: we can respond to customer querias in real time. It 348 00:19:42,359 --> 00:19:46,720 Speaker 3: gives us an insight into what businesses want, and by 349 00:19:46,720 --> 00:19:49,320 Speaker 3: being close to the customer, we're able to take those 350 00:19:49,400 --> 00:19:52,080 Speaker 3: questions and queries and then get that back to the industry. 351 00:19:52,560 --> 00:19:54,359 Speaker 3: That also allows us to build a lot of the 352 00:19:54,520 --> 00:19:59,240 Speaker 3: automation workflow technology that needs to intermediate the interaction between 353 00:19:59,280 --> 00:20:03,040 Speaker 3: the customer I either business owner and the industry, and 354 00:20:03,119 --> 00:20:05,400 Speaker 3: that I believe has given us a lot of operating 355 00:20:05,480 --> 00:20:08,000 Speaker 3: edge as against the large incumberents or the ones who 356 00:20:08,040 --> 00:20:09,840 Speaker 3: are not as technology and techn hable. 357 00:20:10,400 --> 00:20:14,520 Speaker 2: Okay, so that kind of continual improvement almost which technology 358 00:20:14,560 --> 00:20:18,000 Speaker 2: is allowing. Have you come across an instance where you've 359 00:20:18,040 --> 00:20:20,399 Speaker 2: found your own product and perhaps thought, let's disrupt the 360 00:20:20,400 --> 00:20:24,720 Speaker 2: product or disrupt air pricing, disrupt distribution something, Rather you're 361 00:20:24,720 --> 00:20:27,960 Speaker 2: actually disrupting yourself to make your business work even better. 362 00:20:28,440 --> 00:20:31,560 Speaker 3: Yeah, I mean, like with everything, as with everything with AI, 363 00:20:32,480 --> 00:20:35,240 Speaker 3: we were largely building the pipes that were allowing us 364 00:20:35,280 --> 00:20:38,399 Speaker 3: to collect connect the products that the industry has and 365 00:20:38,480 --> 00:20:40,720 Speaker 3: expose them out to the business owners so that the 366 00:20:40,760 --> 00:20:44,080 Speaker 3: business owners could get themselves insurance, get themselves the right 367 00:20:44,080 --> 00:20:46,800 Speaker 3: sort of coverage. We realize that with AI we've been 368 00:20:46,800 --> 00:20:49,080 Speaker 3: able to speed up that process significantly, so we no 369 00:20:49,119 --> 00:20:52,360 Speaker 3: longer need to build APIs. We can essentially build agents 370 00:20:52,800 --> 00:20:55,400 Speaker 3: that can interact with the customer, capture the information, take 371 00:20:55,400 --> 00:20:57,960 Speaker 3: that back to the industry, reducing the cycle time it 372 00:20:58,000 --> 00:21:00,440 Speaker 3: takes for us to deliver a quote to a customer. 373 00:21:00,560 --> 00:21:03,400 Speaker 3: So if you're a complex business, a large business, one 374 00:21:03,440 --> 00:21:06,680 Speaker 3: that has probably fifty one hundred, two hundred employees, your 375 00:21:06,720 --> 00:21:09,080 Speaker 3: insurance worker would typically take a month to get back 376 00:21:09,080 --> 00:21:12,480 Speaker 3: to you, we'd be able to sort out the coverage 377 00:21:12,480 --> 00:21:13,840 Speaker 3: for you within a couple of days. 378 00:21:13,840 --> 00:21:18,439 Speaker 2: Stops wow, And so this kind of continues improvement lot 379 00:21:18,440 --> 00:21:20,000 Speaker 2: of guys, is the why I'm putting it. You know, 380 00:21:20,040 --> 00:21:23,680 Speaker 2: as your business grows, as processes inevitably become more complex, 381 00:21:23,920 --> 00:21:26,160 Speaker 2: how can you assure that you can keep doing what 382 00:21:26,200 --> 00:21:27,960 Speaker 2: you're doing Because it's kind of like how to do 383 00:21:28,040 --> 00:21:30,119 Speaker 2: when you're small, it's harder to do it and you're bigger. 384 00:21:30,520 --> 00:21:32,320 Speaker 3: Well, I think we're a product first company, So even 385 00:21:32,359 --> 00:21:34,800 Speaker 3: though we exist within the insurance industry, we've always thought 386 00:21:34,840 --> 00:21:38,560 Speaker 3: of ourselves as a tech platform, one that has a 387 00:21:38,640 --> 00:21:42,520 Speaker 3: financial services license. So we apply that the technology lens. 388 00:21:42,760 --> 00:21:46,320 Speaker 3: What's happening in AI, what's happening with the latest and 389 00:21:46,320 --> 00:21:50,280 Speaker 3: greatest that's available to any other software company. We apply 390 00:21:50,400 --> 00:21:53,439 Speaker 3: those principles and we try and take those and we 391 00:21:53,840 --> 00:21:56,800 Speaker 3: applied within a regulated industry to get to the customer 392 00:21:56,880 --> 00:22:01,040 Speaker 3: outcome that we want, which is a seamless buying journey 393 00:22:01,760 --> 00:22:04,919 Speaker 3: that's speeded up by technology, so the customers are not 394 00:22:04,960 --> 00:22:07,160 Speaker 3: waiting on their brokers to get a quote to get 395 00:22:07,160 --> 00:22:09,080 Speaker 3: themselves the right sort of cover. We are able to 396 00:22:09,119 --> 00:22:11,440 Speaker 3: get that to them as quickly as possible. 397 00:22:11,960 --> 00:22:14,000 Speaker 2: Okay, So looking ahead three to five years, what's the 398 00:22:14,040 --> 00:22:18,679 Speaker 2: next convention in insurance or in particularly small business insurance 399 00:22:18,720 --> 00:22:22,919 Speaker 2: that you think can be broken? And what does it 400 00:22:23,840 --> 00:22:26,880 Speaker 2: mean of you, guys of upcover. What do you need 401 00:22:26,920 --> 00:22:27,760 Speaker 2: to do to achieve it? 402 00:22:28,640 --> 00:22:30,800 Speaker 3: Yeah, so it's a good question. I mean, ninety percent 403 00:22:30,880 --> 00:22:35,120 Speaker 3: of all commercial insurance sold within Australia and even globally 404 00:22:35,200 --> 00:22:40,000 Speaker 3: is intermediated by brokers who use emails, form fills, PDFs 405 00:22:40,480 --> 00:22:43,240 Speaker 3: largely to take the information from the customer and take 406 00:22:43,240 --> 00:22:45,160 Speaker 3: it back to the industry and then get a quote 407 00:22:45,160 --> 00:22:47,119 Speaker 3: from them. And that cycle time, as I already mentioned, 408 00:22:47,119 --> 00:22:50,159 Speaker 3: can sometimes stretch into four weeks. We've been able to 409 00:22:50,200 --> 00:22:53,000 Speaker 3: reduce that cycle time by building our own primitives that 410 00:22:53,040 --> 00:22:56,119 Speaker 3: allow us to capture the information more efficiently, and so 411 00:22:56,200 --> 00:22:58,919 Speaker 3: by the application of AI, we are able to go 412 00:22:59,040 --> 00:23:03,280 Speaker 3: from unstructured data, which is customer conversation setting in a 413 00:23:03,280 --> 00:23:08,280 Speaker 3: call transcript in their existing insurance forms to the insurer 414 00:23:09,280 --> 00:23:12,919 Speaker 3: and back in record time. And so what that means 415 00:23:13,080 --> 00:23:16,639 Speaker 3: for the customer is a faster turnaround and for the 416 00:23:16,720 --> 00:23:19,560 Speaker 3: industry it means submission that's more structured so they can 417 00:23:19,640 --> 00:23:22,320 Speaker 3: analyze the risk and they can price it better. Ultimately, 418 00:23:22,680 --> 00:23:24,520 Speaker 3: it's a win win for both sides of the market. 419 00:23:25,119 --> 00:23:27,679 Speaker 2: Fantastic mis Thank you for joining the Accelerator series. 420 00:23:28,200 --> 00:23:28,879 Speaker 3: Thanks for having me. 421 00:23:28,920 --> 00:23:32,200 Speaker 2: Sean that was a niche sinner co founder and CEO 422 00:23:32,480 --> 00:23:35,879 Speaker 2: at Upcover. I'm Seanailman and this is the Accelerator Series 423 00:23:35,920 --> 00:23:38,359 Speaker 2: brought to you by air Wallox. Build the Future is 424 00:23:38,400 --> 00:23:40,600 Speaker 2: it air wolls dot com to find out more