1 00:00:00,040 --> 00:00:02,520 Speaker 1: Joining me now is Andrew Kurtain Milford Asseid Management, Hi, 2 00:00:02,640 --> 00:00:06,040 Speaker 1: Andrew Igniting Heather Right, what is the latest with the 3 00:00:06,080 --> 00:00:09,719 Speaker 1: stock markets and the AI tools. 4 00:00:09,520 --> 00:00:12,920 Speaker 2: There's a lot going on underneath the surface this year. 5 00:00:13,080 --> 00:00:15,120 Speaker 2: I think a lot of people maybe just look at 6 00:00:15,120 --> 00:00:17,240 Speaker 2: it the headline market, which has sort of been flat 7 00:00:17,600 --> 00:00:21,080 Speaker 2: too moderately higher, but beneath the surface, there's a huge 8 00:00:21,120 --> 00:00:23,560 Speaker 2: amount of change going on. So the key key development 9 00:00:23,600 --> 00:00:27,440 Speaker 2: over the last couple of weeks has been this AI 10 00:00:27,480 --> 00:00:30,120 Speaker 2: model which is called Claude, which is produced by a 11 00:00:30,200 --> 00:00:33,640 Speaker 2: company called Anthropics, the second largest large language model company 12 00:00:33,680 --> 00:00:37,360 Speaker 2: in the world. Has released as amazing upgrades to their 13 00:00:37,400 --> 00:00:41,320 Speaker 2: model and it's called Chlord Code and another version of 14 00:00:41,320 --> 00:00:44,400 Speaker 2: it called Cord Coword, which is basically changing how people 15 00:00:44,479 --> 00:00:47,519 Speaker 2: look at using AI in the workplace. So I think 16 00:00:47,560 --> 00:00:49,839 Speaker 2: until now people sort look at AIS kind of like 17 00:00:49,880 --> 00:00:51,720 Speaker 2: a chat bot. You use it personally, you ask it 18 00:00:51,760 --> 00:00:53,480 Speaker 2: a few questions. It's kind of cool, but it doesn't 19 00:00:53,479 --> 00:00:56,120 Speaker 2: really change much. I think we've finally got to the 20 00:00:56,160 --> 00:00:59,279 Speaker 2: point where AI has got to the point that can 21 00:00:59,320 --> 00:01:01,840 Speaker 2: be used day in your job, that can replace what 22 00:01:01,880 --> 00:01:04,560 Speaker 2: you're doing. It can potentially mean you're going to save 23 00:01:05,280 --> 00:01:07,480 Speaker 2: hours and hours out of your day. A compettion mean 24 00:01:07,520 --> 00:01:09,240 Speaker 2: you might lose your job because it's going to be 25 00:01:09,280 --> 00:01:11,320 Speaker 2: so good that you don't actually need certain people. And 26 00:01:11,360 --> 00:01:13,840 Speaker 2: so it's really having a big impact on the market. 27 00:01:13,880 --> 00:01:15,600 Speaker 2: It sent things into a little bit of a tailspin. 28 00:01:15,720 --> 00:01:17,640 Speaker 2: Just to give you some context, some of the largest 29 00:01:17,680 --> 00:01:21,080 Speaker 2: software companies in the world are down fifty percent here today, 30 00:01:21,200 --> 00:01:23,000 Speaker 2: so in about six or seven weeks. 31 00:01:23,160 --> 00:01:25,640 Speaker 1: Wow, So what sort of companies are winning and losing 32 00:01:25,640 --> 00:01:26,240 Speaker 1: on the back of this. 33 00:01:28,000 --> 00:01:30,759 Speaker 2: So at the moment, the market's treating the losers as 34 00:01:30,800 --> 00:01:36,800 Speaker 2: companies which generate revenues from operations which are primarily able 35 00:01:36,840 --> 00:01:39,880 Speaker 2: to be disrupted by artificial intelligence, and it's generally white 36 00:01:39,880 --> 00:01:43,039 Speaker 2: collar workforce companies. So software is the sort of primary 37 00:01:43,080 --> 00:01:45,160 Speaker 2: candidate at the moment. They generate most of their revenues 38 00:01:45,480 --> 00:01:47,960 Speaker 2: selling software product products which are built by a bunch 39 00:01:48,000 --> 00:01:50,720 Speaker 2: of engineers and coders which develop it. Or AI is 40 00:01:50,720 --> 00:01:53,080 Speaker 2: showing that it can actually very efficiently code and develop 41 00:01:53,120 --> 00:01:56,880 Speaker 2: software products. So yeah, all those companies are getting torched 42 00:01:56,880 --> 00:02:00,440 Speaker 2: at the moment, and then over the last week it 43 00:02:00,480 --> 00:02:02,280 Speaker 2: start is spreading into a lot of other companies. You 44 00:02:02,280 --> 00:02:07,200 Speaker 2: wouldn't think it would hit insurance, Bokus financial advisors, companies 45 00:02:07,200 --> 00:02:10,440 Speaker 2: that sell information or data, so basically anything that doesn't 46 00:02:10,440 --> 00:02:13,600 Speaker 2: produce a physical product and seems ripe for AI to 47 00:02:13,600 --> 00:02:16,239 Speaker 2: come in and actually replace what they do. Wow. 48 00:02:16,280 --> 00:02:18,160 Speaker 1: Okay, So on the carry out. 49 00:02:18,000 --> 00:02:19,760 Speaker 2: The winning side, because there are there are a few 50 00:02:19,760 --> 00:02:22,680 Speaker 2: that are winning on the winning side if you kind 51 00:02:22,680 --> 00:02:24,200 Speaker 2: of take the view of the world that ALI is 52 00:02:24,240 --> 00:02:26,520 Speaker 2: going to make every company that's sort of digitally based 53 00:02:26,520 --> 00:02:28,520 Speaker 2: potentially at risk, or what you want to do is 54 00:02:28,520 --> 00:02:32,320 Speaker 2: by companies that produce physical or real assets. So you're 55 00:02:32,320 --> 00:02:36,600 Speaker 2: seeing infrastructure companies up perform, natural resources companies such as miners, 56 00:02:36,680 --> 00:02:39,880 Speaker 2: even oil stocks are out performing. And of course companies 57 00:02:39,880 --> 00:02:42,160 Speaker 2: that are producing the physical assets that go into AI 58 00:02:42,280 --> 00:02:45,120 Speaker 2: data centers, like the chips and the and the bear 59 00:02:45,240 --> 00:02:48,160 Speaker 2: metal that goes into producing the data centers and sales. 60 00:02:48,360 --> 00:02:50,760 Speaker 1: Outside of the stock market itself, Are they likely to 61 00:02:50,760 --> 00:02:53,080 Speaker 1: be any large impacts on our daily lives this year? 62 00:02:54,520 --> 00:02:58,480 Speaker 2: Yeah, it's an interesting question because at the moment not really. 63 00:02:59,400 --> 00:03:02,040 Speaker 2: I I predict that sort of throughout twenty twenty six 64 00:03:02,080 --> 00:03:04,040 Speaker 2: we will start to see more and more impact. I 65 00:03:04,040 --> 00:03:06,440 Speaker 2: think it's going to start for Aaron and white collar 66 00:03:06,520 --> 00:03:09,560 Speaker 2: jobs are going to be almost forced to start using 67 00:03:09,600 --> 00:03:12,320 Speaker 2: AI more and learning it because everyone else aroundman is 68 00:03:12,320 --> 00:03:13,680 Speaker 2: going to be doing so it becomes a bit of 69 00:03:13,680 --> 00:03:15,440 Speaker 2: a competitive thing that you need to know how to 70 00:03:15,520 --> 00:03:17,440 Speaker 2: use it and implement it in your day to day job. 71 00:03:18,680 --> 00:03:21,000 Speaker 2: And then I think probably the bigger impacts could be 72 00:03:21,040 --> 00:03:22,919 Speaker 2: sort of looking more of the twenty seven twenty eight 73 00:03:22,960 --> 00:03:25,360 Speaker 2: I think at this point you may start to get 74 00:03:25,400 --> 00:03:27,520 Speaker 2: to the point where there's lots of job losses coming 75 00:03:27,560 --> 00:03:30,720 Speaker 2: from AI. Certain jobs that you are more about sort 76 00:03:30,760 --> 00:03:34,360 Speaker 2: of data mining, data replacement, analytical work that is easy 77 00:03:34,400 --> 00:03:37,240 Speaker 2: to replace, those people could be at threats. So yeah, 78 00:03:37,520 --> 00:03:40,960 Speaker 2: there's some potentially quite worrying medium term implications here that 79 00:03:41,080 --> 00:03:43,560 Speaker 2: could cause sort of widespread job losses and a massive 80 00:03:43,560 --> 00:03:46,360 Speaker 2: reallocation of how labor works in the workforce. 81 00:03:46,520 --> 00:03:48,880 Speaker 1: Okay, so we've got in video reporting tomorrow. What are 82 00:03:48,880 --> 00:03:49,880 Speaker 1: we expecting. 83 00:03:51,120 --> 00:03:54,520 Speaker 2: Strong Asult, I think that that is pretty well positioned 84 00:03:54,520 --> 00:03:56,800 Speaker 2: still with his AI build out. It still produces the 85 00:03:56,840 --> 00:03:59,960 Speaker 2: best AI chips in the world, and at the moment 86 00:04:00,640 --> 00:04:05,080 Speaker 2: demand for AI chips it's basically at peak all time levels. 87 00:04:04,840 --> 00:04:08,120 Speaker 2: It's accelerating a huge amount over the last of the 88 00:04:08,160 --> 00:04:10,840 Speaker 2: three to six months, So we speak strong numbers from Nvidia. 89 00:04:11,000 --> 00:04:13,000 Speaker 2: Does the share price go up on those numbers? There's 90 00:04:13,040 --> 00:04:15,160 Speaker 2: more of a question. Well, they've got such a big 91 00:04:15,160 --> 00:04:17,320 Speaker 2: company now it's got a little bit of competitive threat 92 00:04:17,360 --> 00:04:20,240 Speaker 2: coming from other companies, So yeah, sort of. My expectation 93 00:04:20,320 --> 00:04:22,240 Speaker 2: is probably strong numbers, but we may not get a 94 00:04:22,240 --> 00:04:24,040 Speaker 2: big share price pop on it. Yeah, brilliant. 95 00:04:24,080 --> 00:04:25,920 Speaker 1: Hey, it's good to talk to Andrew. That's fascinating. Andrew 96 00:04:25,960 --> 00:04:28,240 Speaker 1: Kurtain from Milford Asset Management. 97 00:04:28,839 --> 00:04:32,000 Speaker 2: For more from Heather Duplessy Allen Drive, listen live to 98 00:04:32,120 --> 00:04:35,159 Speaker 2: news talks. It'd be from four pm weekdays, or follow 99 00:04:35,200 --> 00:04:36,960 Speaker 2: the podcast on iHeartRadio