1 00:00:00,440 --> 00:00:03,760 Speaker 1: Welcome to Fear and Greed Sunday feature Michael Thompson. It's 2 00:00:03,800 --> 00:00:06,600 Speaker 1: Australia Day, so we're going to feature, as you would expect, 3 00:00:06,640 --> 00:00:09,840 Speaker 1: an Australian company doing big things. When all the focuses 4 00:00:09,880 --> 00:00:13,520 Speaker 1: on elon Musk and on Tesla, it might surprise you 5 00:00:13,640 --> 00:00:17,240 Speaker 1: to learn about a local company making some pretty significant 6 00:00:17,239 --> 00:00:21,560 Speaker 1: headway in the space of driverless autonomous electric vehicles. Sean 7 00:00:21,600 --> 00:00:25,279 Speaker 1: Aylmer spoke with Julian Broadbent, the founder and CEO of 8 00:00:25,320 --> 00:00:29,000 Speaker 1: Applied Ev, back in May of twenty twenty three, about 9 00:00:29,000 --> 00:00:30,120 Speaker 1: this fascinating company. 10 00:00:30,160 --> 00:00:32,360 Speaker 2: It is a great chat. I hope you enjoy it. 11 00:00:36,760 --> 00:00:39,160 Speaker 2: Welcome to the Fear and Greed Daily Interview. I'm Sean 12 00:00:39,159 --> 00:00:41,480 Speaker 2: alma I reckon this could be one of the most 13 00:00:41,520 --> 00:00:44,360 Speaker 2: futuristic interviews we have ever done on this podcast. And 14 00:00:44,400 --> 00:00:46,720 Speaker 2: it's not just talking about where we're going. It's about 15 00:00:46,720 --> 00:00:50,680 Speaker 2: a company that's already doing remarkable things with technology. While 16 00:00:50,720 --> 00:00:54,320 Speaker 2: electric vehicles are booming, one part of the industry still 17 00:00:54,440 --> 00:00:59,360 Speaker 2: seems a little problematic. The promise of driverless autonomous vehicles 18 00:01:00,040 --> 00:01:02,720 Speaker 2: a long way from having true self driving cars, but 19 00:01:02,760 --> 00:01:06,160 Speaker 2: Australian company, Applied Ev, is coming at it from a 20 00:01:06,200 --> 00:01:10,320 Speaker 2: different perspective. Instead of trying to get driverless cars delivering passengers, 21 00:01:10,600 --> 00:01:13,880 Speaker 2: they're focusing on self driving vehicles that do dangerous, dirty 22 00:01:14,000 --> 00:01:17,160 Speaker 2: or dull jobs. Not quite as glamorous, but pretty amazing. 23 00:01:17,240 --> 00:01:21,400 Speaker 2: Julian Broadbent is he founder and CEO of Applied ev Julian, 24 00:01:21,440 --> 00:01:22,400 Speaker 2: Welcome to Fear and Greed. 25 00:01:22,800 --> 00:01:25,640 Speaker 3: Great to be here, Sean, thank you for the very 26 00:01:25,680 --> 00:01:27,440 Speaker 3: positive introduction. Loved it. 27 00:01:28,160 --> 00:01:31,200 Speaker 2: Julian, you worked for General Matters in Detroit and Melbourne 28 00:01:31,240 --> 00:01:34,720 Speaker 2: for nearly twenty years. Much of your role during that 29 00:01:34,880 --> 00:01:39,880 Speaker 2: period was identifying trends. At what point did it click 30 00:01:40,080 --> 00:01:42,280 Speaker 2: with you that evs are the future? 31 00:01:43,600 --> 00:01:47,760 Speaker 3: The tipping point was really when GM in particular, and 32 00:01:47,760 --> 00:01:51,200 Speaker 3: this was the same for any automaker. Really. General Motors 33 00:01:51,280 --> 00:01:53,960 Speaker 3: is just my company that I worked with, but every 34 00:01:54,000 --> 00:01:58,320 Speaker 3: OEM was starting to celebrate one hundred year birthdays. There's 35 00:01:58,360 --> 00:02:01,000 Speaker 3: probably been a plethora of them. And what that sort 36 00:02:01,040 --> 00:02:06,000 Speaker 3: of implies is that the process of building a particular 37 00:02:06,200 --> 00:02:11,600 Speaker 3: product is approaching full optimization in terms of how things 38 00:02:11,639 --> 00:02:15,000 Speaker 3: are built and how they're done. So what sort of 39 00:02:15,200 --> 00:02:19,840 Speaker 3: was very interesting was the advent of technology companies in 40 00:02:19,880 --> 00:02:24,560 Speaker 3: a completely different lane starting to embrace themes like software 41 00:02:24,639 --> 00:02:28,720 Speaker 3: eats the world a great Marc Andreesen comment. Starting to 42 00:02:28,720 --> 00:02:34,040 Speaker 3: see technology emerging in other industries which weren't just software 43 00:02:34,400 --> 00:02:39,560 Speaker 3: and mining industries, some beginnings around technology and self driving vehicles, 44 00:02:39,560 --> 00:02:43,120 Speaker 3: et cetera. So if you imagine that you're sitting inside 45 00:02:43,360 --> 00:02:45,480 Speaker 3: a giant OEM and there was lots of people doing this, 46 00:02:45,600 --> 00:02:48,200 Speaker 3: so of course it wasn't the only one looking out 47 00:02:48,240 --> 00:02:52,520 Speaker 3: the window. It was like, wow, is it actually possible 48 00:02:52,600 --> 00:02:56,480 Speaker 3: that Windows could actually drive a vehicle? Because it was 49 00:02:56,480 --> 00:02:58,760 Speaker 3: a bit of a joke right in the late nineties, 50 00:02:58,800 --> 00:03:02,239 Speaker 3: you know, when we had Office or Microsoft Windows, or 51 00:03:02,280 --> 00:03:04,520 Speaker 3: it could have been a Mac as well. You know, 52 00:03:05,480 --> 00:03:07,760 Speaker 3: the system would crash, you'd get a blue screen and 53 00:03:07,960 --> 00:03:12,000 Speaker 3: Microsoft would say sorry. So the whole idea of you know, 54 00:03:12,080 --> 00:03:16,920 Speaker 3: Windows running a vehicle was quite unfathomable, and I became 55 00:03:17,000 --> 00:03:21,120 Speaker 3: intrigued with some of the movements around Google. Ex at 56 00:03:21,160 --> 00:03:24,960 Speaker 3: the time it wasn't even waymo. We began programs where 57 00:03:24,960 --> 00:03:28,000 Speaker 3: we were shipping some of the very first electric vehicles 58 00:03:28,360 --> 00:03:31,680 Speaker 3: in GM to the Mountain View campus of Google to 59 00:03:31,720 --> 00:03:35,480 Speaker 3: do a thing called ride sharing. They called it ride sharing. 60 00:03:35,920 --> 00:03:38,200 Speaker 3: We'd never heard of that, which was really just like 61 00:03:38,240 --> 00:03:40,200 Speaker 3: a tap and go. You could get a vehicle andever 62 00:03:40,200 --> 00:03:42,600 Speaker 3: you want, and you just left it parked a bit 63 00:03:42,680 --> 00:03:44,800 Speaker 3: like what we would see e bikes or e scooters 64 00:03:44,800 --> 00:03:47,520 Speaker 3: do today. This was just on the Google campus. So 65 00:03:47,560 --> 00:03:50,320 Speaker 3: I felt that there was this big shift. There was 66 00:03:50,360 --> 00:03:53,160 Speaker 3: this big shift in technology. It was only a matter 67 00:03:53,200 --> 00:03:58,040 Speaker 3: of time before the incumbent automakers were going to be threatened. 68 00:03:58,040 --> 00:04:00,520 Speaker 3: And then I guess the punchline that were all very 69 00:04:00,920 --> 00:04:04,280 Speaker 3: well aware of now is that a South African born 70 00:04:04,320 --> 00:04:07,200 Speaker 3: American decided that he would do an electric car for 71 00:04:07,280 --> 00:04:10,720 Speaker 3: a market that didn't exist according to the OEMs, And 72 00:04:10,800 --> 00:04:14,200 Speaker 3: of course the market did exist. So at this sort 73 00:04:14,240 --> 00:04:17,000 Speaker 3: of point of time, you know, I just found this 74 00:04:17,279 --> 00:04:21,200 Speaker 3: really interesting, given where these very mature companies were, and 75 00:04:21,839 --> 00:04:25,160 Speaker 3: maybe maybe we were living at this point in time 76 00:04:25,240 --> 00:04:28,200 Speaker 3: inside a Kodak moment if you follow me there. Maybe 77 00:04:28,240 --> 00:04:29,960 Speaker 3: we were sitting right in the middle of the digital 78 00:04:30,040 --> 00:04:34,320 Speaker 3: camera disrupting the emulsion film business. Maybe that's what it was, 79 00:04:34,360 --> 00:04:35,520 Speaker 3: and that was kind of intriguing. 80 00:04:36,560 --> 00:04:39,640 Speaker 2: So there's still quite a ways to go from that 81 00:04:40,560 --> 00:04:45,040 Speaker 2: to launching your own ev business. What made you do it? 82 00:04:45,040 --> 00:04:48,320 Speaker 3: It was really you know, we're not the youngest startup 83 00:04:48,360 --> 00:04:50,680 Speaker 3: in the world in terms of the average age of 84 00:04:51,040 --> 00:04:54,640 Speaker 3: the individuals. We're not the cliche where we're probably a 85 00:04:54,720 --> 00:04:57,520 Speaker 3: bit more old age and cunning than you know, youth 86 00:04:57,560 --> 00:05:01,120 Speaker 3: and enthusiasm. You know, we probably a little bit wiser. 87 00:05:01,880 --> 00:05:05,600 Speaker 3: We actually attract a lot of really senior not as 88 00:05:05,640 --> 00:05:09,599 Speaker 3: in age, but senior as in high level personnel. We 89 00:05:09,680 --> 00:05:12,520 Speaker 3: attract people that feel like they want to make a 90 00:05:12,520 --> 00:05:15,240 Speaker 3: difference and they want to be able to take a 91 00:05:15,279 --> 00:05:20,960 Speaker 3: technology and deliver something remarkable. So, you know, we weren't 92 00:05:21,400 --> 00:05:25,760 Speaker 3: sitting there saying, Okay, here's our Harvard business plan and 93 00:05:26,320 --> 00:05:28,839 Speaker 3: we want to raise particular money on the back of 94 00:05:28,880 --> 00:05:32,000 Speaker 3: this sort of business plan that paints a picture of 95 00:05:32,080 --> 00:05:35,039 Speaker 3: a really audacious goal and a big end of the 96 00:05:35,120 --> 00:05:38,800 Speaker 3: rainbow opportunity that would be incredibly hard to solve. We 97 00:05:38,960 --> 00:05:41,560 Speaker 3: were probably more Why don't we try and understand what 98 00:05:41,600 --> 00:05:44,200 Speaker 3: people haven't understood yet. Why don't we try and understand 99 00:05:44,279 --> 00:05:47,440 Speaker 3: what the gap is here? What is the gap between 100 00:05:47,480 --> 00:05:52,040 Speaker 3: Silicon Valley and Detroit. What is the gap between Silicon 101 00:05:52,120 --> 00:05:56,160 Speaker 3: Valley and the German auto makers. Why isn't software technology 102 00:05:56,320 --> 00:06:00,600 Speaker 3: moving across into more automotive Why isn't that techechnology been 103 00:06:00,640 --> 00:06:03,800 Speaker 3: able to be commercialized, even though you know, very very 104 00:06:03,880 --> 00:06:06,960 Speaker 3: quickly one hundred billion dollars plus has been pumped into that, 105 00:06:07,839 --> 00:06:09,840 Speaker 3: and so we just became intrigued. We kind of had 106 00:06:09,839 --> 00:06:14,159 Speaker 3: automotive experience, We kind of knew about technology. We weren't 107 00:06:14,720 --> 00:06:18,560 Speaker 3: sort of locked into one ecosystem or the other. So 108 00:06:18,640 --> 00:06:21,680 Speaker 3: AEV has kind of built itself up to be able 109 00:06:21,720 --> 00:06:27,280 Speaker 3: to create products that are essentially gluing technology into the 110 00:06:27,640 --> 00:06:29,279 Speaker 3: established automotive sector. 111 00:06:30,160 --> 00:06:34,520 Speaker 2: Okay, so is it I mean we hear about driverless 112 00:06:34,520 --> 00:06:37,720 Speaker 2: cars and trucks and things like that. Is that kind 113 00:06:37,760 --> 00:06:41,839 Speaker 2: of a headline at for AEV as you put it, 114 00:06:42,000 --> 00:06:43,920 Speaker 2: or is it primarily what you're doing? 115 00:06:44,520 --> 00:06:47,240 Speaker 3: So what we do is what the industry is now 116 00:06:47,279 --> 00:06:50,280 Speaker 3: calling X by wire, which is kind of like fly 117 00:06:50,360 --> 00:06:53,719 Speaker 3: by wire, drive by wire, control by wik In other words, 118 00:06:53,760 --> 00:06:57,760 Speaker 3: it's controlling an entire machine and all the functions of 119 00:06:57,800 --> 00:07:01,760 Speaker 3: a machine with software, and one aspect of control is 120 00:07:01,839 --> 00:07:04,880 Speaker 3: driving the vehicle, but then there's other aspects of control, 121 00:07:04,920 --> 00:07:08,480 Speaker 3: like the applications that might run on that vehicle, opening 122 00:07:08,480 --> 00:07:12,440 Speaker 3: the doors for a delivery vehicle, operating the system via 123 00:07:12,560 --> 00:07:17,280 Speaker 3: remote control, the teleoperations. All of these things need to 124 00:07:17,320 --> 00:07:21,120 Speaker 3: be sort of synthesized together to create a product that 125 00:07:21,320 --> 00:07:25,200 Speaker 3: is truly running on software. Because the ultimate goal for 126 00:07:25,320 --> 00:07:28,960 Speaker 3: everyone in the entire value chain the people that make 127 00:07:29,000 --> 00:07:34,960 Speaker 3: the vehicle, the autonomous technology partners, the sensor companies, our company, 128 00:07:35,600 --> 00:07:38,920 Speaker 3: and then the end user, the customer who's trying to 129 00:07:38,960 --> 00:07:42,040 Speaker 3: provide a service to the consumer. We're all trying to 130 00:07:42,080 --> 00:07:45,920 Speaker 3: extract value that we couldn't get before by taking the 131 00:07:46,000 --> 00:07:49,760 Speaker 3: driver out or removing mechanical components that can be replaced 132 00:07:49,760 --> 00:07:54,520 Speaker 3: with software. But now compared to say, the early days 133 00:07:54,520 --> 00:07:57,960 Speaker 3: of the industry, where some of the companies were literally 134 00:07:58,000 --> 00:08:01,440 Speaker 3: trying to boil the ocean, they would be full vertically integrated. 135 00:08:02,400 --> 00:08:05,440 Speaker 3: Everyone's now realized this is an incredibly hard thing to do. 136 00:08:05,520 --> 00:08:07,760 Speaker 3: So there's a lot of great partnerships that are forming 137 00:08:08,080 --> 00:08:11,080 Speaker 3: to be able to share a slice of the pie. 138 00:08:11,560 --> 00:08:13,680 Speaker 2: Stay with me, Julian, we'll be back in a minute. 139 00:08:19,920 --> 00:08:23,440 Speaker 2: My guest this morning is Julian Broadbent, founder and CEO 140 00:08:23,680 --> 00:08:28,640 Speaker 2: of Applied Ev. Where are we up to in that 141 00:08:29,040 --> 00:08:33,400 Speaker 2: process or journey or whatever it is towards getting a 142 00:08:33,800 --> 00:08:35,600 Speaker 2: I'm going to say a driverless car, but it's kind 143 00:08:35,600 --> 00:08:37,880 Speaker 2: of much broader than that. That will be my euphemism 144 00:08:37,920 --> 00:08:40,240 Speaker 2: for what we're talking about here and where are the 145 00:08:40,280 --> 00:08:41,280 Speaker 2: real pain points. 146 00:08:42,320 --> 00:08:45,600 Speaker 3: We're a lot closer now, we the industry, we're a 147 00:08:45,640 --> 00:08:49,680 Speaker 3: lot closer. We are seeing that, like a lot of 148 00:08:49,679 --> 00:08:54,160 Speaker 3: autonnel companies are now very much focused on commercialization. So 149 00:08:54,280 --> 00:08:58,440 Speaker 3: they're bringing the horizon forward. Remember the culture before March 150 00:08:58,480 --> 00:09:01,280 Speaker 3: twenty two was there's endless money. We can keep shooting 151 00:09:01,320 --> 00:09:03,320 Speaker 3: for the stars and trying to land on the moon. 152 00:09:04,080 --> 00:09:07,359 Speaker 3: But when the world of free money kind of disappeared 153 00:09:07,440 --> 00:09:10,840 Speaker 3: and we are normalized again, the whole industry started to 154 00:09:10,840 --> 00:09:13,160 Speaker 3: become well, hang on a minute, we can't do this 155 00:09:13,240 --> 00:09:16,320 Speaker 3: all by ourselves. We need to partner and we need 156 00:09:16,360 --> 00:09:20,000 Speaker 3: to commercialize like yesterday, right, because we're running out of money. 157 00:09:20,040 --> 00:09:22,400 Speaker 3: We need to go from an idea to a real business. 158 00:09:23,280 --> 00:09:25,360 Speaker 3: And so that's kind of I guess all the new 159 00:09:25,400 --> 00:09:28,760 Speaker 3: technology elements of what it takes to bring an autonomous 160 00:09:28,840 --> 00:09:34,199 Speaker 3: vehicle to market, and I guess also, maybe serendipitously, the 161 00:09:34,360 --> 00:09:38,959 Speaker 3: entire automotive side of the equation, the vehicle side of 162 00:09:39,000 --> 00:09:43,800 Speaker 3: the equation, have been disrupted by someone like Testa, and 163 00:09:43,880 --> 00:09:47,800 Speaker 3: so the entire automotive side of the value chain is 164 00:09:47,800 --> 00:09:50,319 Speaker 3: now saying well, how do we run vehicles on software 165 00:09:51,160 --> 00:09:55,680 Speaker 3: which creates better margin and better business for the auto makers, 166 00:09:56,200 --> 00:09:59,960 Speaker 3: which again happens to be a hand in glove necessity 167 00:10:00,120 --> 00:10:04,000 Speaker 3: to run functions, high level functions like autonomous driving. I 168 00:10:04,000 --> 00:10:05,160 Speaker 3: hope you can follow that. 169 00:10:05,080 --> 00:10:08,319 Speaker 2: Like this is a yeah, yeah, yeah. My question then, 170 00:10:08,400 --> 00:10:12,160 Speaker 2: is so with autonomous vehicles, all these subparts are kind 171 00:10:12,160 --> 00:10:14,480 Speaker 2: of heading in that direction, and there's a certain biscal 172 00:10:14,559 --> 00:10:18,960 Speaker 2: discipline that from March twenty twenty two, with the energy crisis, inflation, 173 00:10:19,080 --> 00:10:21,880 Speaker 2: higher interest rates, that has kind of probably a good 174 00:10:21,880 --> 00:10:23,720 Speaker 2: thing for the sector in a sense because it makes 175 00:10:23,720 --> 00:10:27,400 Speaker 2: you focus on commerciality of it. The point is that, 176 00:10:27,400 --> 00:10:29,440 Speaker 2: I mean, you do our autonomous tracks, and I know 177 00:10:29,480 --> 00:10:33,240 Speaker 2: you've been involved in autonomous heavy vehicles and things like that. 178 00:10:33,920 --> 00:10:36,400 Speaker 2: I mean, is it a fair question to say, is 179 00:10:36,440 --> 00:10:41,200 Speaker 2: it actually consumers adopting it? Is it kind of internet 180 00:10:41,280 --> 00:10:43,800 Speaker 2: of things that's the issue. What is it that we 181 00:10:43,880 --> 00:10:46,640 Speaker 2: really need the big hurdle before we get there? Or 182 00:10:46,679 --> 00:10:48,079 Speaker 2: is that an unfair question? 183 00:10:48,440 --> 00:10:52,480 Speaker 3: No, no, no, it's absolutely right. The challenges are of 184 00:10:52,559 --> 00:10:56,240 Speaker 3: a very high order of magnitude because of the amount 185 00:10:56,240 --> 00:10:59,520 Speaker 3: of software involved. And when I use software, it's not 186 00:10:59,600 --> 00:11:02,280 Speaker 3: just end you know, what you see on a screen, 187 00:11:02,320 --> 00:11:05,800 Speaker 3: and it's really the middleware, the engine room software, but 188 00:11:06,280 --> 00:11:11,880 Speaker 3: the entire product that is now spread across different partners 189 00:11:11,880 --> 00:11:16,600 Speaker 3: in the industry, automakers, technology companies like US autonomous software guys, 190 00:11:16,600 --> 00:11:20,559 Speaker 3: sensor companies, camera companies, AI computer This is what goes 191 00:11:20,600 --> 00:11:26,079 Speaker 3: into a vehicle. It's a really really substantially smart machine, 192 00:11:26,920 --> 00:11:31,600 Speaker 3: probably bordering on having to cover more software territory than 193 00:11:31,720 --> 00:11:36,720 Speaker 3: aerospace aerospaces. Obviously looks very dramatic, and it obviously is 194 00:11:36,760 --> 00:11:41,400 Speaker 3: a very significant thing, but we're talking about essentially that 195 00:11:41,480 --> 00:11:46,120 Speaker 3: sort of aerospace level of technology, and we're talking about 196 00:11:46,160 --> 00:11:52,080 Speaker 3: interfacing with consumers. Aerospace doesn't interface with consumers. They're all professionals, 197 00:11:52,600 --> 00:11:56,600 Speaker 3: well established industry, lots of safety processes. We're talking about 198 00:11:56,640 --> 00:12:00,160 Speaker 3: that level of software and beyond because there's all that 199 00:12:00,280 --> 00:12:06,640 Speaker 3: functionality entering our lives and so able to not have 200 00:12:06,720 --> 00:12:10,160 Speaker 3: any I guess, failure points or any blue screens is 201 00:12:10,160 --> 00:12:14,040 Speaker 3: incredibly difficult. That's what the industry's I guess thinking about 202 00:12:14,040 --> 00:12:15,959 Speaker 3: at the moment. And if I could share an example 203 00:12:16,000 --> 00:12:19,320 Speaker 3: with you, you know, everyone gets a new car every 204 00:12:19,320 --> 00:12:22,120 Speaker 3: now and again, and a couple you know, we've had 205 00:12:22,120 --> 00:12:24,560 Speaker 3: a few new cars in our family over the last 206 00:12:24,600 --> 00:12:27,679 Speaker 3: few years, and nearly every one of them brand new, 207 00:12:28,200 --> 00:12:31,880 Speaker 3: you know, twenty twenty two, twenty twenty three, having a 208 00:12:31,880 --> 00:12:35,120 Speaker 3: problem with software, And when you think about that in 209 00:12:35,160 --> 00:12:37,560 Speaker 3: the context of a vehicle that might be self driving, 210 00:12:37,600 --> 00:12:39,320 Speaker 3: that's diabolical. 211 00:12:39,040 --> 00:12:41,880 Speaker 2: Right, yeah, yeah, no room for error. 212 00:12:42,160 --> 00:12:44,280 Speaker 3: I'm just talking about the way your phone might connect. 213 00:12:45,320 --> 00:12:49,800 Speaker 3: So the ability to be able to tolerate a failure point 214 00:12:50,120 --> 00:12:54,000 Speaker 3: in the software, which is now not become the second 215 00:12:54,120 --> 00:12:57,200 Speaker 3: order level of control because us as drivers would be 216 00:12:57,200 --> 00:13:00,440 Speaker 3: the first level of order. The software is now the 217 00:13:00,480 --> 00:13:04,880 Speaker 3: first order control of the machine. So now it needs 218 00:13:04,920 --> 00:13:07,840 Speaker 3: to be perfect. And so getting sort of really specific 219 00:13:07,840 --> 00:13:11,600 Speaker 3: about your question, the safety and the robustness of that software, 220 00:13:11,640 --> 00:13:14,320 Speaker 3: The ability to do error checking, the ability for the 221 00:13:14,360 --> 00:13:18,120 Speaker 3: software to correct itself, to be able to manage different 222 00:13:18,240 --> 00:13:22,240 Speaker 3: modes when something hasn't worked, and been able to protect 223 00:13:22,320 --> 00:13:26,320 Speaker 3: almost completely against it is now the challenge. But the 224 00:13:26,320 --> 00:13:29,880 Speaker 3: good news is that horizon is now in our. 225 00:13:29,800 --> 00:13:31,720 Speaker 2: Sights and we will get there. 226 00:13:32,559 --> 00:13:35,840 Speaker 3: Yeah, definitely we will. It won't be a slam dunk 227 00:13:36,320 --> 00:13:40,440 Speaker 3: arrival of autonomous cars from the George Jetson kind of. 228 00:13:42,000 --> 00:13:44,680 Speaker 3: It's going to happen like a lot of these fairly 229 00:13:44,720 --> 00:13:48,760 Speaker 3: sophisticated technologies in our lives. It's going to appear in 230 00:13:49,480 --> 00:13:53,000 Speaker 3: other industries. It's going to be proven out, it's going 231 00:13:53,040 --> 00:13:56,480 Speaker 3: to be developed in safe what we call operating domains. 232 00:13:56,960 --> 00:13:59,480 Speaker 3: There's going to be real commercial opportunities in these operating 233 00:13:59,520 --> 00:14:02,520 Speaker 3: domains and that's going to fuel the industry to mature 234 00:14:02,600 --> 00:14:06,559 Speaker 3: that technology, to bring it to a consumer level. 235 00:14:07,200 --> 00:14:09,079 Speaker 2: Julian, thank you for talking to Fear and Greed. 236 00:14:09,760 --> 00:14:11,920 Speaker 3: Oh I really appreciate the time. Thank you so much. 237 00:14:12,360 --> 00:14:15,959 Speaker 2: That was Julian Broadbent, founder and CEO of Applied ev. 238 00:14:16,240 --> 00:14:18,400 Speaker 2: This is the Fear and Greed Daily Interview. Join us 239 00:14:18,400 --> 00:14:20,680 Speaker 2: every morning for the full episode of Fear and Greed, 240 00:14:20,720 --> 00:14:33,560 Speaker 2: Australia's most popular business podcast. I'm Sean Aylmer. Enjoy your day.