1 00:00:00,080 --> 00:00:02,760 Speaker 1: Three of the Big US are Big seven US tech 2 00:00:02,800 --> 00:00:05,520 Speaker 1: companies have reported earnings today. You had Meta, Microsoft, Google, 3 00:00:05,720 --> 00:00:08,720 Speaker 1: and that makes it basically ten million or ten trillion 4 00:00:08,760 --> 00:00:11,799 Speaker 1: dollars rather of market cap. Sam Dickie from Fisher Funds 5 00:00:11,840 --> 00:00:13,960 Speaker 1: is with us on this high, Sam, how's it going? 6 00:00:14,000 --> 00:00:14,200 Speaker 2: Heater? 7 00:00:14,320 --> 00:00:15,760 Speaker 1: Yeah, very well, thank you. So what's going on with 8 00:00:15,800 --> 00:00:18,279 Speaker 1: the AI CAPEX supercycle? Is it slowing down? Is it 9 00:00:18,360 --> 00:00:19,480 Speaker 1: speeding up? What's up? 10 00:00:20,720 --> 00:00:24,400 Speaker 2: It is staggering. The numbers are staggering, So it's accelerating 11 00:00:25,040 --> 00:00:28,560 Speaker 2: and accelerating at a pretty rapid pace. So four context, 12 00:00:28,680 --> 00:00:30,880 Speaker 2: a couple of years ago, the big four combined. So 13 00:00:30,920 --> 00:00:34,280 Speaker 2: it's Metam Microsoft, Google who reported today, as you said, 14 00:00:34,280 --> 00:00:37,600 Speaker 2: in Amazon spending about one hundred and fifty billion on 15 00:00:37,720 --> 00:00:41,040 Speaker 2: capital expenditure, and this year they're going to spend three 16 00:00:41,040 --> 00:00:42,960 Speaker 2: to fifty billion, and next year it now looks like 17 00:00:43,000 --> 00:00:46,120 Speaker 2: they're going to spend half a trillion dollars. And every 18 00:00:46,240 --> 00:00:51,800 Speaker 2: quarter they report numbers, these forecasted capital expenditure numbers just 19 00:00:51,880 --> 00:00:54,360 Speaker 2: keept getting ratcheted up, and not by small amounts. It's 20 00:00:54,480 --> 00:00:58,840 Speaker 2: accelerating in fifty billion increments. And why is this happening? 21 00:00:58,920 --> 00:01:04,560 Speaker 2: And it's the business dilemma. They can't afford to not 22 00:01:04,680 --> 00:01:07,320 Speaker 2: accelerate their spend in case one of their competitors gets 23 00:01:07,319 --> 00:01:09,760 Speaker 2: to jump on them. And it's this relentless race to 24 00:01:10,720 --> 00:01:14,640 Speaker 2: get to AGI, it seems, and that's that AI that 25 00:01:14,920 --> 00:01:17,240 Speaker 2: matches or exceeds human intelligence. 26 00:01:17,959 --> 00:01:20,560 Speaker 1: Now, what did you see in the results that shed 27 00:01:20,640 --> 00:01:22,720 Speaker 1: light on the return on investment that they're generating on 28 00:01:22,720 --> 00:01:23,520 Speaker 1: this massive spend. 29 00:01:25,200 --> 00:01:27,520 Speaker 2: It's the It literally is, as you said, the ten 30 00:01:27,600 --> 00:01:30,920 Speaker 2: trillion dollar plus plus question. The good news is the 31 00:01:31,040 --> 00:01:34,440 Speaker 2: investments are paying dividends. So every quarter that Meta and Google, 32 00:01:35,120 --> 00:01:39,360 Speaker 2: for example, are reporting their revenues and profits recently, they 33 00:01:39,360 --> 00:01:42,480 Speaker 2: are also accelerating, so they are also beating expectations, and 34 00:01:42,520 --> 00:01:46,520 Speaker 2: that happened today and that is because they are deploying 35 00:01:46,560 --> 00:01:50,120 Speaker 2: a lot of these this kapics. So this capix is 36 00:01:50,120 --> 00:01:53,960 Speaker 2: going into, as we've talked about before, accelerated compute computer 37 00:01:54,040 --> 00:01:57,280 Speaker 2: chips or GPUs, which in video cells. And that's because 38 00:01:57,280 --> 00:02:01,200 Speaker 2: they're deploying a lot of those of compute computer chips 39 00:02:01,200 --> 00:02:05,040 Speaker 2: into their core advertising engines and that's delivering you and 40 00:02:05,080 --> 00:02:08,080 Speaker 2: I more relevant ads and frankly, making us spend more 41 00:02:08,120 --> 00:02:11,560 Speaker 2: money and buy more relevant products. However, there is a 42 00:02:11,639 --> 00:02:15,000 Speaker 2: huge chunk of this half a trillion dollars next year 43 00:02:15,160 --> 00:02:19,480 Speaker 2: of CAPEX that's going into more experimental AI, brand new 44 00:02:19,480 --> 00:02:23,480 Speaker 2: AI products and services. And I think Zuckerberg said it 45 00:02:23,600 --> 00:02:26,200 Speaker 2: best or worst when he was specifically asked about the 46 00:02:26,200 --> 00:02:29,360 Speaker 2: return on invested capital on this experimental AI spend, and 47 00:02:29,400 --> 00:02:33,040 Speaker 2: he just waffled, waffled and waffled. Probably worth listening to 48 00:02:33,040 --> 00:02:36,200 Speaker 2: a few when waffled. In short, the revenue streams and 49 00:02:36,240 --> 00:02:39,440 Speaker 2: returns are simply not the yet on the experimental AI. 50 00:02:39,760 --> 00:02:44,119 Speaker 1: Okay, well, what does this then mean for investors well? 51 00:02:44,200 --> 00:02:47,760 Speaker 2: To earn the right to spend these huge amounts, it's 52 00:02:47,840 --> 00:02:51,600 Speaker 2: critical that the companies keep beating revenue and earnings expectations, 53 00:02:51,960 --> 00:02:54,680 Speaker 2: which they have been. But what is super interesting, as 54 00:02:55,639 --> 00:02:59,040 Speaker 2: for the first time today two out of the three 55 00:02:59,120 --> 00:03:02,639 Speaker 2: companies the stock prices were down after market. So despite 56 00:03:02,680 --> 00:03:06,040 Speaker 2: Microsoft and met A beating revenue and profits, they were 57 00:03:06,160 --> 00:03:10,320 Speaker 2: down after market. And that's really that the market for 58 00:03:10,360 --> 00:03:12,560 Speaker 2: the first time given them the shot across the bow, 59 00:03:12,680 --> 00:03:15,760 Speaker 2: starting to lose patience and really saying to them, you 60 00:03:15,800 --> 00:03:18,480 Speaker 2: need to start showing better returns and even faster revenue 61 00:03:18,480 --> 00:03:21,200 Speaker 2: growth on the back of this massive investment. Or we 62 00:03:21,280 --> 00:03:23,600 Speaker 2: will sell your stock down and force you to stop 63 00:03:23,639 --> 00:03:26,160 Speaker 2: spending so much. So it's fascinating stuff. Sam. 64 00:03:26,200 --> 00:03:30,840 Speaker 1: So we had Nicol Rabashank in the studio earlier and 65 00:03:31,200 --> 00:03:33,400 Speaker 1: he let slip that you and you and he ride 66 00:03:33,400 --> 00:03:34,040 Speaker 1: bikes together. 67 00:03:35,560 --> 00:03:42,040 Speaker 2: May I have occasionally rutherd nikel Not not enough, unfortunately, 68 00:03:42,080 --> 00:03:43,480 Speaker 2: him and I need to get out there more often. 69 00:03:43,480 --> 00:03:45,520 Speaker 1: Actually, well, here you go, Hey, thank you very much. 70 00:03:45,600 --> 00:03:48,320 Speaker 1: Look after yourself and keep yourself safe on the bike. Sam, 71 00:03:48,320 --> 00:03:49,080 Speaker 1: it's a dangerous thing. 72 00:03:49,120 --> 00:03:49,320 Speaker 2: Sam. 73 00:03:49,360 --> 00:03:50,680 Speaker 1: Dicky Fisher funds. 74 00:03:52,600 --> 00:03:55,800 Speaker 2: For more from Heather Duplessy Allen Drive. Listen live to 75 00:03:55,880 --> 00:03:58,920 Speaker 2: news talks it'd be from four pm weekdays, or follow 76 00:03:58,960 --> 00:04:00,720 Speaker 2: the podcast on Heart Radio