1 00:00:00,080 --> 00:00:02,320 Speaker 1: It's a rare thing these days that a company lists 2 00:00:02,360 --> 00:00:04,760 Speaker 1: on the enz X, and even rareer for one that 3 00:00:04,840 --> 00:00:07,680 Speaker 1: does to be a tech company. But last year Being 4 00:00:07,760 --> 00:00:10,720 Speaker 1: Ai burst onto the scene with a singular focus. 5 00:00:11,000 --> 00:00:14,200 Speaker 2: I'm personally a massive nerd, and I love technology, and 6 00:00:14,240 --> 00:00:18,599 Speaker 2: I love developing things, and I love buildings up and 7 00:00:19,239 --> 00:00:23,639 Speaker 2: just all the amazing tools and products and platforms that 8 00:00:23,680 --> 00:00:25,599 Speaker 2: are coming out of the AI space right now. 9 00:00:26,360 --> 00:00:29,760 Speaker 1: That was David McDonald, group CEO and executive director of 10 00:00:29,800 --> 00:00:32,480 Speaker 1: Being Ai, speaking on the day he rang the bell 11 00:00:32,640 --> 00:00:36,000 Speaker 1: to mark the company's launch. This week on The Business Attack, 12 00:00:36,080 --> 00:00:38,239 Speaker 1: sponsored by two Degrees, We've got a little bit of 13 00:00:38,240 --> 00:00:41,199 Speaker 1: a change due to some scheduling matters. We're splitting the 14 00:00:41,200 --> 00:00:45,160 Speaker 1: podcast into two. On Sunday, we talked to a major 15 00:00:45,320 --> 00:00:47,200 Speaker 1: name in New Zealand's startup scene. 16 00:00:47,320 --> 00:00:50,560 Speaker 3: Rowan Simpson, is one of the most successful serial tech 17 00:00:50,720 --> 00:00:53,720 Speaker 3: entrepreneurs in the country and he's distilled what he's learned 18 00:00:53,760 --> 00:00:56,480 Speaker 3: into a new book, How to Be Wrong, a crash 19 00:00:56,560 --> 00:00:58,200 Speaker 3: course in startup Success. 20 00:00:58,400 --> 00:01:00,760 Speaker 1: Make sure you come back for that then, But now 21 00:01:00,960 --> 00:01:03,760 Speaker 1: we're talking about my reporting into Being Ai. 22 00:01:04,480 --> 00:01:08,520 Speaker 3: I'm Ben Moore and I'm Peter Griffin. Being Ai the 23 00:01:08,600 --> 00:01:14,240 Speaker 3: listed education provider and artificial intelligence development house. Its shares 24 00:01:14,240 --> 00:01:18,120 Speaker 3: are currently suspended on the inst X. It's independent directors 25 00:01:18,160 --> 00:01:20,920 Speaker 3: have resigned, So I guess a lot of people are 26 00:01:20,959 --> 00:01:24,200 Speaker 3: asking what's going on? Can it survive? First off, give 27 00:01:24,280 --> 00:01:27,520 Speaker 3: us some background about this company's progress so far as 28 00:01:27,560 --> 00:01:28,560 Speaker 3: a listed company. 29 00:01:30,160 --> 00:01:34,640 Speaker 1: That's a big question actually, like for a company that 30 00:01:34,640 --> 00:01:38,319 Speaker 1: has only been listed for about ten months via a 31 00:01:38,360 --> 00:01:39,200 Speaker 1: reverse listing. 32 00:01:39,720 --> 00:01:41,200 Speaker 4: Back in April last. 33 00:01:41,040 --> 00:01:43,679 Speaker 3: Year, Ascension Capital wasn't it was listed. 34 00:01:43,880 --> 00:01:47,680 Speaker 1: Yeah, it was a listed company. It was basically not operating. 35 00:01:48,080 --> 00:01:51,000 Speaker 1: They backed into that show and they used it to 36 00:01:51,120 --> 00:01:54,520 Speaker 1: list on the ins X. So that was April last 37 00:01:54,600 --> 00:01:57,240 Speaker 1: year that they rang the bell, and since then it 38 00:01:57,280 --> 00:02:01,600 Speaker 1: has been a pretty tumultuous an eventful ride. 39 00:02:01,760 --> 00:02:03,320 Speaker 4: I would describe it as so. 40 00:02:04,320 --> 00:02:08,000 Speaker 1: First of all, their their share price shot up, which 41 00:02:08,160 --> 00:02:12,880 Speaker 1: caused a caused the nz X to issuer please explain, 42 00:02:14,200 --> 00:02:16,080 Speaker 1: So they had a little help there. That became a 43 00:02:16,120 --> 00:02:20,200 Speaker 1: little little wrinkle for them to start with. Whether or 44 00:02:20,280 --> 00:02:23,079 Speaker 1: not that was fair, it was really, you know, up 45 00:02:23,080 --> 00:02:27,359 Speaker 1: to up to your interpretation. But it was a notable 46 00:02:27,400 --> 00:02:29,519 Speaker 1: moment for them and a bit of a mar to 47 00:02:29,600 --> 00:02:32,320 Speaker 1: the start of their of their adventure on the n 48 00:02:32,440 --> 00:02:36,640 Speaker 1: z X since then, I I'm this morning. Actually a 49 00:02:36,720 --> 00:02:39,120 Speaker 1: story went live on Business Desk as we record so 50 00:02:39,400 --> 00:02:43,200 Speaker 1: Wednesday morning where I kind of talk a little bit 51 00:02:43,240 --> 00:02:47,200 Speaker 1: about what's been going on at the company, and if 52 00:02:47,240 --> 00:02:49,440 Speaker 1: you read that down the bottom, you'll actually find a 53 00:02:49,520 --> 00:02:52,600 Speaker 1: kind of list of stuff that's happened in their company. 54 00:02:53,560 --> 00:02:57,800 Speaker 1: So those include essentially a share price that has struggled 55 00:02:58,120 --> 00:03:01,720 Speaker 1: over time, sitting at twenty eight cents per share when 56 00:03:01,760 --> 00:03:05,639 Speaker 1: it was suspended. They've also faced a little bit of 57 00:03:05,639 --> 00:03:09,880 Speaker 1: criticism from an analyst, Mark Claire that led to some 58 00:03:10,080 --> 00:03:13,560 Speaker 1: legal proceedings that resulted in Clare Capital making one hundred 59 00:03:13,560 --> 00:03:14,880 Speaker 1: and fifty thousand dollars payout. 60 00:03:15,760 --> 00:03:17,079 Speaker 4: Although it was a payout that. 61 00:03:17,160 --> 00:03:20,600 Speaker 1: Was a non admission payout, so I didn't do anything wrong, 62 00:03:20,680 --> 00:03:22,600 Speaker 1: but here's some money to settle the case. 63 00:03:23,840 --> 00:03:25,880 Speaker 4: They've had a. 64 00:03:25,320 --> 00:03:29,919 Speaker 1: Series of kind of underwhelming or stalled acquisition attempts, and 65 00:03:30,000 --> 00:03:33,120 Speaker 1: they had application for a charter school, which was a 66 00:03:33,120 --> 00:03:34,400 Speaker 1: bit of a long shot because there was a lot 67 00:03:34,400 --> 00:03:37,640 Speaker 1: of applications, but that was unsuccessful as part of its 68 00:03:38,120 --> 00:03:42,680 Speaker 1: education endeavor. Also, as just mentioned, they have a couple 69 00:03:42,720 --> 00:03:45,600 Speaker 1: of schools on the books. They have a logistics company 70 00:03:45,640 --> 00:03:54,000 Speaker 1: on the books, but their primary focus reportedly was AI development. Originally, 71 00:03:54,040 --> 00:03:56,600 Speaker 1: it was planned to be kind of an AI consulting 72 00:03:56,640 --> 00:04:00,280 Speaker 1: firm with a AI product development firm and an AI 73 00:04:00,440 --> 00:04:06,840 Speaker 1: investment firm wrapped together in one company. The consulting business 74 00:04:07,080 --> 00:04:11,240 Speaker 1: was divested from the company at the end of last year. 75 00:04:11,800 --> 00:04:16,280 Speaker 1: The investments haven't really paid out yet, but again it's 76 00:04:16,320 --> 00:04:19,640 Speaker 1: only been ten months. And then you've got the product 77 00:04:19,680 --> 00:04:21,600 Speaker 1: side of things, which appears to be where a lot 78 00:04:21,640 --> 00:04:25,440 Speaker 1: of the attention from the executive branch has been. So 79 00:04:25,600 --> 00:04:28,800 Speaker 1: David McDonald, chief executive of the company, who we've had 80 00:04:28,800 --> 00:04:32,000 Speaker 1: on the podcast when the company first listed, he has 81 00:04:32,320 --> 00:04:36,280 Speaker 1: spent a lot of time and energy along with his CTO, 82 00:04:36,839 --> 00:04:40,520 Speaker 1: doctor Nicholas Fourier. I believe it's pronounced, but I could 83 00:04:40,560 --> 00:04:45,480 Speaker 1: be wrong. And they have developed a AI product that 84 00:04:45,520 --> 00:04:48,720 Speaker 1: they're kind of hoping to take to market soon. So yeah, 85 00:04:48,760 --> 00:04:53,880 Speaker 1: it's been complicated. It's it's been tricky, and I guess 86 00:04:53,960 --> 00:04:56,400 Speaker 1: that's kind of the story of the first ten months 87 00:04:56,400 --> 00:04:58,200 Speaker 1: of being AI on the NZX. 88 00:04:58,839 --> 00:05:01,359 Speaker 3: And the thing about this copany is that it's listed 89 00:05:01,440 --> 00:05:05,440 Speaker 3: on the inst X, but there's not much publicly traded 90 00:05:05,480 --> 00:05:10,400 Speaker 3: shares happening here zero point four percent or zero point 91 00:05:10,440 --> 00:05:13,600 Speaker 3: four to eight percent off. The shares are traded on 92 00:05:13,640 --> 00:05:16,640 Speaker 3: the inz X. So the shareholding is held, you know, 93 00:05:16,960 --> 00:05:21,520 Speaker 3: predominantly eighty percent by Evan Christian and his wife Katherine 94 00:05:21,720 --> 00:05:26,560 Speaker 3: Alsop Smith. David McDonald has ten percent, and then other 95 00:05:26,680 --> 00:05:30,200 Speaker 3: sort of key shareholders make up the rest. So now 96 00:05:30,360 --> 00:05:34,960 Speaker 3: I really was excited when an AI centric company said 97 00:05:34,960 --> 00:05:36,680 Speaker 3: it was going to list on the inz X. Here 98 00:05:36,720 --> 00:05:40,440 Speaker 3: was an opportunity for the investor community to get on board. 99 00:05:40,520 --> 00:05:45,760 Speaker 3: They clearly haven't and that raises question marks. And then 100 00:05:45,800 --> 00:05:50,159 Speaker 3: as your story, which we'll link to, notes, there has 101 00:05:50,200 --> 00:05:54,599 Speaker 3: been a lot of tension between Alsop Smith and Evan 102 00:05:54,680 --> 00:05:59,320 Speaker 3: Christian and then David McDonald in their philosophy about where 103 00:05:59,320 --> 00:06:01,120 Speaker 3: this business is going. And it seems to me as 104 00:06:01,160 --> 00:06:04,599 Speaker 3: though David McDonald he's very much a startup guy and 105 00:06:05,520 --> 00:06:08,120 Speaker 3: he's looking around the world at AI. I mean, the 106 00:06:08,160 --> 00:06:12,240 Speaker 3: company in the last couple of months really has pivoted 107 00:06:12,279 --> 00:06:15,719 Speaker 3: to AI agents with this treehouse product they're talking about. 108 00:06:16,360 --> 00:06:18,800 Speaker 4: It's not to be clear, it's not building AI agents. 109 00:06:20,240 --> 00:06:23,360 Speaker 1: We can talk a little bit about project a project 110 00:06:23,360 --> 00:06:25,560 Speaker 1: treehouse as they call it, but I do want to 111 00:06:25,560 --> 00:06:28,040 Speaker 1: talk a bit about that startup thing that you just mentioned, 112 00:06:28,200 --> 00:06:30,760 Speaker 1: and I think that a big part of what being 113 00:06:30,800 --> 00:06:37,440 Speaker 1: AI represents is a question for what is public money 114 00:06:37,760 --> 00:06:42,520 Speaker 1: for in New Zealand, because I guess from McDonald's point 115 00:06:42,520 --> 00:06:45,159 Speaker 1: of view, it was like this was a way of 116 00:06:45,240 --> 00:06:49,160 Speaker 1: raising money to fund a startup. He refers to being 117 00:06:49,200 --> 00:06:54,039 Speaker 1: AI as a startup. In New Zealand, we rarely would 118 00:06:54,040 --> 00:06:57,400 Speaker 1: refer to any nxex listed company as a startup because 119 00:06:57,400 --> 00:07:00,240 Speaker 1: that's not what we expect from our listed companies. Of 120 00:07:00,240 --> 00:07:02,599 Speaker 1: expect them to be a little bit more mature or 121 00:07:03,640 --> 00:07:05,520 Speaker 1: established and have a path to growth. 122 00:07:06,240 --> 00:07:08,719 Speaker 4: And so you know, there has to be. 123 00:07:08,760 --> 00:07:12,720 Speaker 1: A question of is there a different perspective in New 124 00:07:12,760 --> 00:07:17,440 Speaker 1: Zealand From New Zealand investors, particularly institutional investors, would also 125 00:07:17,520 --> 00:07:23,360 Speaker 1: retail around what money through the ENZX is for. Is 126 00:07:23,400 --> 00:07:27,800 Speaker 1: it for seeding a startup? It can be, I mean, 127 00:07:27,800 --> 00:07:31,800 Speaker 1: there's no rules against it, but maybe that wasn't as 128 00:07:31,840 --> 00:07:35,840 Speaker 1: clearly communicated, or maybe that just wasn't something that people liked, 129 00:07:35,840 --> 00:07:38,800 Speaker 1: and you know, that could be part of why the 130 00:07:38,840 --> 00:07:42,800 Speaker 1: company's independent directors. And this is my opinion here because 131 00:07:42,960 --> 00:07:46,320 Speaker 1: I don't know have any explicit information about why the 132 00:07:46,440 --> 00:07:51,160 Speaker 1: independent directors have left, five have come and gone over 133 00:07:51,360 --> 00:07:55,720 Speaker 1: the period of the company being listed. Perhaps they were 134 00:07:55,720 --> 00:07:58,760 Speaker 1: walking in expecting an established company that they would govern, 135 00:07:59,120 --> 00:08:01,600 Speaker 1: and what they actually was a startup that needed a 136 00:08:01,640 --> 00:08:05,680 Speaker 1: lot of time and energy investment to actually get it 137 00:08:05,440 --> 00:08:08,200 Speaker 1: to run. They wanted a listed company and they got 138 00:08:08,200 --> 00:08:10,880 Speaker 1: a startup. So I think that's a question that needs 139 00:08:10,880 --> 00:08:12,720 Speaker 1: to be considered in this situation. 140 00:08:20,720 --> 00:08:23,880 Speaker 3: It's a classic dilemma for a startup founder. It's like, 141 00:08:23,920 --> 00:08:27,480 Speaker 3: I want to raise capital quickly, and an efficient way 142 00:08:27,480 --> 00:08:30,040 Speaker 3: to do that is to do a public offering and 143 00:08:30,080 --> 00:08:33,120 Speaker 3: try and raise capital once you're on a stock exchange, 144 00:08:33,960 --> 00:08:37,920 Speaker 3: but then you're open to all the scrutiny and the expectations, 145 00:08:38,120 --> 00:08:43,920 Speaker 3: and Peter Beck and others have referred to this the stress, 146 00:08:44,080 --> 00:08:47,000 Speaker 3: the added level of stress and complicating factors it comes 147 00:08:47,040 --> 00:08:50,360 Speaker 3: when you're listed. It builds a discipline where you have 148 00:08:50,480 --> 00:08:55,720 Speaker 3: to report every quarter. That is sometimes valuable, but it 149 00:08:55,760 --> 00:08:58,520 Speaker 3: also means if you're burning lots of cash and you're 150 00:08:58,840 --> 00:09:02,360 Speaker 3: thinking about pivoting to do something else, everyone sees that, 151 00:09:02,800 --> 00:09:08,040 Speaker 3: and so the market's confidence can rise and fall, and 152 00:09:08,160 --> 00:09:10,120 Speaker 3: we've seen a lot of volatility at one point to 153 00:09:10,160 --> 00:09:13,439 Speaker 3: share price was up over seventy cents. Any idea what 154 00:09:14,160 --> 00:09:14,559 Speaker 3: caused that? 155 00:09:15,320 --> 00:09:16,320 Speaker 4: No, not really. 156 00:09:17,720 --> 00:09:21,800 Speaker 1: You know, there is one school of thought, and again 157 00:09:21,880 --> 00:09:25,080 Speaker 1: this is not a fact, it's just what people have said, 158 00:09:25,080 --> 00:09:28,680 Speaker 1: which is this idea of a meme stock. It's become 159 00:09:28,679 --> 00:09:31,280 Speaker 1: a more common phrase over the last couple of years. 160 00:09:31,360 --> 00:09:35,160 Speaker 1: But this idea that people use a publicly traded stock 161 00:09:36,080 --> 00:09:38,360 Speaker 1: and they get a lot of further around it and 162 00:09:38,440 --> 00:09:40,360 Speaker 1: invest a lot in it and get other people to 163 00:09:40,440 --> 00:09:42,600 Speaker 1: invest and then try and get out at the top 164 00:09:43,000 --> 00:09:44,959 Speaker 1: to make a bunch of money, and then the price 165 00:09:45,000 --> 00:09:48,720 Speaker 1: goes down. See also meme coin in the crypto space. 166 00:09:48,800 --> 00:09:52,800 Speaker 1: So that's one theory. The other theory is that there 167 00:09:52,880 --> 00:09:55,520 Speaker 1: was just a lot of excitement about an AI company 168 00:09:55,559 --> 00:09:58,480 Speaker 1: being listed amongst a certain group of people, and that 169 00:09:58,520 --> 00:10:02,800 Speaker 1: those people all wanted to get in, and then once 170 00:10:02,840 --> 00:10:07,640 Speaker 1: they kind of saw the broader investor reaction, that they 171 00:10:08,440 --> 00:10:09,439 Speaker 1: decided not to. 172 00:10:09,400 --> 00:10:12,560 Speaker 4: Be in anymore. Yeah. 173 00:10:12,600 --> 00:10:15,240 Speaker 1: I mean, I don't know where the truth is, whether 174 00:10:15,240 --> 00:10:17,640 Speaker 1: that's somewhere between those or if it's something completely different, 175 00:10:17,679 --> 00:10:19,400 Speaker 1: but yeah, that's the chatter. 176 00:10:19,640 --> 00:10:23,880 Speaker 3: So it's currently it shares a suspended and this is 177 00:10:23,920 --> 00:10:26,160 Speaker 3: going on for a couple of weeks now, I guess, 178 00:10:26,760 --> 00:10:29,520 Speaker 3: So what do you think the future of this company is. 179 00:10:29,559 --> 00:10:33,920 Speaker 3: Obviously the consulting business is now what's it called now 180 00:10:34,040 --> 00:10:40,400 Speaker 3: Possible AI Possible AI, So that has been effectively delisted. 181 00:10:40,440 --> 00:10:44,040 Speaker 3: That is now just a private entity who's running that? 182 00:10:44,760 --> 00:10:46,920 Speaker 1: So that is run by Nissa Waters, who was part 183 00:10:46,960 --> 00:10:49,920 Speaker 1: of the founding team. She was brought into being a 184 00:10:50,040 --> 00:10:53,960 Speaker 1: I to run the consulting basically, and so she's essentially 185 00:10:54,520 --> 00:10:56,800 Speaker 1: continuing on with that under the new name. 186 00:10:57,320 --> 00:11:01,800 Speaker 3: Yeah, and I guess is a possibility that the thing 187 00:11:01,960 --> 00:11:05,720 Speaker 3: just delists. I mean, because it's so concentrated in ownership, 188 00:11:06,840 --> 00:11:10,600 Speaker 3: it doesn't have huge ramifications for a lot of shareholders 189 00:11:10,600 --> 00:11:13,760 Speaker 3: who have come on in the last year anyway. So 190 00:11:13,880 --> 00:11:16,920 Speaker 3: maybe the tidiest thing is if the management team and 191 00:11:16,920 --> 00:11:20,720 Speaker 3: if there's dispute as to what the future of the 192 00:11:20,720 --> 00:11:23,839 Speaker 3: business is. I mean, this was a collection rather a 193 00:11:23,960 --> 00:11:28,000 Speaker 3: peculiar collection of things. You had these schools, this logistics company, 194 00:11:28,559 --> 00:11:30,160 Speaker 3: you had this sort of R and D lab for 195 00:11:30,200 --> 00:11:34,079 Speaker 3: AI projects. You had the consulting business. I think at 196 00:11:34,080 --> 00:11:36,439 Speaker 3: the start of where everyone was thinking how is this 197 00:11:36,559 --> 00:11:39,880 Speaker 3: going to work? And clearly it sort of didn't work 198 00:11:39,920 --> 00:11:40,560 Speaker 3: particularly well. 199 00:11:41,000 --> 00:11:44,120 Speaker 1: Yeah, not so far. I mean, and to be clear, 200 00:11:44,120 --> 00:11:48,240 Speaker 1: there is some really strong ip within the business potentially, 201 00:11:48,440 --> 00:11:50,200 Speaker 1: and I refer to it in the story. We talked 202 00:11:50,200 --> 00:11:53,480 Speaker 1: about it earlier. It's called Project tree House. I don't 203 00:11:53,480 --> 00:11:56,960 Speaker 1: know what the final name will be, but I'll give 204 00:11:56,960 --> 00:12:01,280 Speaker 1: a quick description of what it is. So think about 205 00:12:01,559 --> 00:12:04,640 Speaker 1: open AI's Operator if you're familiar with that. We talked 206 00:12:04,679 --> 00:12:07,800 Speaker 1: about it previously. It's an AI agent. You can ask 207 00:12:07,840 --> 00:12:11,080 Speaker 1: it to do something. I'm going on a trip to Paris, 208 00:12:11,480 --> 00:12:15,000 Speaker 1: book me accommodation and some restaurants. Here's the budget. It 209 00:12:15,000 --> 00:12:18,720 Speaker 1: goes off and it does it. Open Operator wants to 210 00:12:18,760 --> 00:12:23,160 Speaker 1: do it by the agent actually navigating websites. And I 211 00:12:23,160 --> 00:12:25,960 Speaker 1: think I mentioned last week or whenever we talked about 212 00:12:25,960 --> 00:12:29,080 Speaker 1: Operator that that's kind of a little bit inefficient for 213 00:12:29,200 --> 00:12:32,640 Speaker 1: a machine to try and operate a website that is 214 00:12:32,840 --> 00:12:36,640 Speaker 1: designed for humans. What Being AI wants to do is 215 00:12:37,559 --> 00:12:42,079 Speaker 1: create a place where all of the APIs from different 216 00:12:42,080 --> 00:12:46,439 Speaker 1: companies come in together so that agents can come in 217 00:12:46,840 --> 00:12:49,480 Speaker 1: and use more native machine. 218 00:12:49,200 --> 00:12:52,120 Speaker 4: Language to deliver on what you actually want. 219 00:12:53,160 --> 00:12:57,640 Speaker 1: So you say, I want go to Paris, give me 220 00:12:57,679 --> 00:13:00,400 Speaker 1: some accommodation, Da da da, and it goes off into 221 00:13:00,440 --> 00:13:04,920 Speaker 1: the Project Treehouse World, and it can very quickly go, Hey, 222 00:13:05,280 --> 00:13:07,640 Speaker 1: all your businesses out there with your APIs plugged into 223 00:13:07,720 --> 00:13:11,160 Speaker 1: this system. What are some places? Okay, those look good? 224 00:13:11,360 --> 00:13:14,760 Speaker 1: What's the budget, what's the guidelines? Okay, yep, yep, yep. Hey, 225 00:13:14,760 --> 00:13:16,080 Speaker 1: I found this. Do you want me to book this 226 00:13:16,240 --> 00:13:19,360 Speaker 1: for you? And it's much quicker and much more efficient 227 00:13:20,320 --> 00:13:23,320 Speaker 1: than trying to do it by navigating human centric websites. 228 00:13:24,200 --> 00:13:26,240 Speaker 1: Essentially how he describes it as he kind of says, 229 00:13:26,880 --> 00:13:30,360 Speaker 1: Google at the moment is where everybody goes to find 230 00:13:31,400 --> 00:13:35,080 Speaker 1: to get access to companies and applications. For the most part, 231 00:13:35,559 --> 00:13:37,520 Speaker 1: what we want to be is kind of the Google 232 00:13:37,840 --> 00:13:41,439 Speaker 1: for AI agents all in their native language. 233 00:13:41,640 --> 00:13:42,559 Speaker 4: Well, great idea. 234 00:13:43,320 --> 00:13:46,120 Speaker 3: I think there's a lot of players that will be 235 00:13:46,200 --> 00:13:49,240 Speaker 3: going after this space, so it's going to be super competitive. 236 00:13:49,280 --> 00:13:49,440 Speaker 4: You know. 237 00:13:49,480 --> 00:13:52,640 Speaker 3: At the moment, the attention has been on the creators 238 00:13:52,679 --> 00:13:56,720 Speaker 3: of the agents, so the salesforces, the Microsoft's, the Oracles 239 00:13:56,720 --> 00:14:00,600 Speaker 3: and out who have all suddenly got these agents. But 240 00:14:00,640 --> 00:14:04,080 Speaker 3: the key thing is will the integration making them useful 241 00:14:04,320 --> 00:14:07,160 Speaker 3: cross app and we were at the Samsung launch recently 242 00:14:07,440 --> 00:14:10,200 Speaker 3: off their new phone, and they were really raving about 243 00:14:10,360 --> 00:14:15,360 Speaker 3: this cross app interaction where Spotify and your text messages 244 00:14:15,520 --> 00:14:20,800 Speaker 3: and Google Maps, you can basically speak to Gemini on 245 00:14:20,840 --> 00:14:23,360 Speaker 3: your phone and mention all of these things and it 246 00:14:23,360 --> 00:14:26,000 Speaker 3: will pull information from across these apps and put it 247 00:14:26,080 --> 00:14:29,560 Speaker 3: in one place. To date, that's been hard to do, 248 00:14:30,200 --> 00:14:32,120 Speaker 3: and this is what the sort of the agent world 249 00:14:32,440 --> 00:14:35,240 Speaker 3: is bringing us towards. But to do that you have 250 00:14:35,280 --> 00:14:37,720 Speaker 3: to have this seamless integration in the background. It shares 251 00:14:37,760 --> 00:14:41,440 Speaker 3: all of that information, all of those inventories, all of 252 00:14:41,480 --> 00:14:46,040 Speaker 3: the booking systems. That is incredibly complex. So I like 253 00:14:46,080 --> 00:14:48,480 Speaker 3: where they're going with that, but boy, they've got I 254 00:14:48,520 --> 00:14:52,400 Speaker 3: think a big hill to climb, particularly now when there 255 00:14:52,520 --> 00:14:57,560 Speaker 3: certainty about their listing and their ability to raise capital 256 00:14:57,600 --> 00:15:00,000 Speaker 3: to fund this. There's definitely a question mark over there. 257 00:15:00,520 --> 00:15:02,720 Speaker 1: Yeah, as there are a lot of question marks, like 258 00:15:02,760 --> 00:15:05,920 Speaker 1: you know, will essentially that technology be spun up into 259 00:15:05,960 --> 00:15:08,600 Speaker 1: a new private company that you know, that's one possibility 260 00:15:08,640 --> 00:15:11,360 Speaker 1: that will go to perhaps seek VC or whatever else. 261 00:15:12,160 --> 00:15:15,200 Speaker 1: But I think also that does there is the barrier 262 00:15:15,280 --> 00:15:19,000 Speaker 1: of the AI agent contextual understanding between it and it's 263 00:15:19,320 --> 00:15:21,880 Speaker 1: human as well. So it is also going to rely 264 00:15:21,960 --> 00:15:24,880 Speaker 1: on a little bit more progress from the AI LLM 265 00:15:24,960 --> 00:15:29,160 Speaker 1: based companies to actually make sure that they're delivering something 266 00:15:29,440 --> 00:15:32,920 Speaker 1: that is capable of reaching the level that is required. 267 00:15:33,480 --> 00:15:35,720 Speaker 1: Then there's the privacy, and then there's the you know, 268 00:15:35,840 --> 00:15:39,680 Speaker 1: credentials and logging in and using payment systems and stuff 269 00:15:39,720 --> 00:15:40,000 Speaker 1: like that. 270 00:15:40,080 --> 00:15:41,600 Speaker 4: So there is still a fair bit of. 271 00:15:41,560 --> 00:15:44,360 Speaker 1: Integration work I would imagine to go. You know, it's 272 00:15:44,360 --> 00:15:46,320 Speaker 1: a big bet on a future that a lot of 273 00:15:46,360 --> 00:15:49,200 Speaker 1: people are saying is likely, and if they can get 274 00:15:49,200 --> 00:15:51,000 Speaker 1: in there at the right time, with the right tech, 275 00:15:51,440 --> 00:15:54,080 Speaker 1: into the right people, with the right funding, it has 276 00:15:54,120 --> 00:15:57,800 Speaker 1: a possibility to be very successful. And McDonald said he's 277 00:15:57,800 --> 00:16:00,120 Speaker 1: been working extremely hard on this with his you know, 278 00:16:00,160 --> 00:16:02,200 Speaker 1: like I said, with the CTO up to three am 279 00:16:02,280 --> 00:16:04,800 Speaker 1: coding to try and build this thing within ten months. 280 00:16:04,840 --> 00:16:07,960 Speaker 1: So I don't want to downplay the work that's being done. 281 00:16:08,560 --> 00:16:12,160 Speaker 1: But amid that, you've also then had the tension of 282 00:16:12,200 --> 00:16:16,040 Speaker 1: the majority shareholders who are out there saying, well, you know, 283 00:16:16,080 --> 00:16:17,760 Speaker 1: we've got a show shareholder value. 284 00:16:17,800 --> 00:16:18,480 Speaker 4: We've got these. 285 00:16:18,360 --> 00:16:21,160 Speaker 1: Logistics company that we said we were going to improve 286 00:16:21,280 --> 00:16:21,840 Speaker 1: with AI. 287 00:16:22,200 --> 00:16:23,600 Speaker 4: We've got these schools. 288 00:16:23,200 --> 00:16:25,840 Speaker 1: And we said we were going to improve the world 289 00:16:25,920 --> 00:16:28,000 Speaker 1: of education with AI, so we need to get going 290 00:16:28,080 --> 00:16:31,200 Speaker 1: on that as well. And the consultancies maybe not playing 291 00:16:31,240 --> 00:16:32,840 Speaker 1: out how he wanted it to, and it. 292 00:16:32,840 --> 00:16:34,200 Speaker 3: Sounds like two different businesses. 293 00:16:34,240 --> 00:16:37,720 Speaker 1: Really, yeah, I think that was the case. And McDonald 294 00:16:37,920 --> 00:16:40,480 Speaker 1: is a tech guy. He wanted to build, he wanted 295 00:16:40,520 --> 00:16:42,000 Speaker 1: to focus on what he was doing, so to be 296 00:16:42,120 --> 00:16:45,760 Speaker 1: the to be named as the group CEO, maybe that 297 00:16:45,920 --> 00:16:52,080 Speaker 1: was a slight miscalculation. That's my perception. I can't say 298 00:16:52,080 --> 00:16:55,920 Speaker 1: that as a fact. So it's complicated because I think 299 00:16:55,920 --> 00:16:58,320 Speaker 1: there has been a little bit of people have spoken 300 00:16:58,320 --> 00:17:03,000 Speaker 1: about being AI very pejorative and in conversations sometimes, and 301 00:17:03,040 --> 00:17:06,240 Speaker 1: I think that you know we're actually talking about is 302 00:17:06,320 --> 00:17:10,200 Speaker 1: people within an organization fundamentally, and while the organization may 303 00:17:10,200 --> 00:17:13,000 Speaker 1: have had its troubles, it may not have been, you know, 304 00:17:13,080 --> 00:17:16,720 Speaker 1: run as smoothly as you would expect. McDonald's view was that, actually, 305 00:17:16,760 --> 00:17:19,040 Speaker 1: that's just the way that it is in startups sometimes, 306 00:17:19,160 --> 00:17:21,080 Speaker 1: is that you have these disagreements and you have these 307 00:17:21,200 --> 00:17:23,080 Speaker 1: kind of you have to work through these problems, and 308 00:17:23,080 --> 00:17:24,680 Speaker 1: you have to pivot and you have to make decisions. 309 00:17:24,680 --> 00:17:27,320 Speaker 4: And the problem was they were on the ends of X. 310 00:17:27,480 --> 00:17:30,520 Speaker 1: They were a public company, and so it made everything 311 00:17:30,560 --> 00:17:32,160 Speaker 1: a lot more magnified. 312 00:17:32,320 --> 00:17:34,720 Speaker 3: It's a pivotal time they've really got a make or 313 00:17:34,720 --> 00:17:36,120 Speaker 3: break situation ahead of them. 314 00:17:37,040 --> 00:17:37,320 Speaker 4: Yeah. 315 00:17:37,480 --> 00:17:40,280 Speaker 1: Yeah, there's a lot of decisions to be made, I think, 316 00:17:40,359 --> 00:17:43,080 Speaker 1: and there's probably working through it diligently at the moment, 317 00:17:43,200 --> 00:17:47,080 Speaker 1: and I think I'm going to hopefully speak to them 318 00:17:47,240 --> 00:17:50,399 Speaker 1: more once the once they've worked through those things and 319 00:17:50,520 --> 00:17:54,720 Speaker 1: those decisions have been made, So we'll keep an eye 320 00:17:54,720 --> 00:17:56,960 Speaker 1: on Being AI and see where that startup story goes. 321 00:17:57,080 --> 00:18:00,640 Speaker 1: If you're interested in learning more about the history Being AI, 322 00:18:00,840 --> 00:18:02,080 Speaker 1: you can check out some. 323 00:18:02,040 --> 00:18:03,280 Speaker 4: Of my previous reporting. 324 00:18:03,480 --> 00:18:05,919 Speaker 3: Links are in the show notes at Businessdesk, dot co, 325 00:18:06,359 --> 00:18:09,280 Speaker 3: dot MS. You just check out the podcast section. 326 00:18:09,080 --> 00:18:12,080 Speaker 1: Form follow the Business at Tech on your podcast platform 327 00:18:12,160 --> 00:18:13,040 Speaker 1: of choice. 328 00:18:13,200 --> 00:18:15,600 Speaker 4: We're also streaming on iHeartRadio. 329 00:18:16,000 --> 00:18:18,800 Speaker 3: Get in touch with your feedback and topic suggestions. We're 330 00:18:18,800 --> 00:18:20,480 Speaker 3: on LinkedIn and blue Sky. 331 00:18:20,760 --> 00:18:23,160 Speaker 1: Don't forget to catch us on Sunday for that interview 332 00:18:23,160 --> 00:18:24,120 Speaker 1: with Rowan Simpson. 333 00:18:24,400 --> 00:18:24,879 Speaker 3: See you then,