1 00:00:00,240 --> 00:00:02,920 Speaker 1: The US results season is in full swing. Got two 2 00:00:02,960 --> 00:00:05,440 Speaker 1: of the big ones, Meta and Microsoft reporting just in 3 00:00:05,480 --> 00:00:07,960 Speaker 1: the last few hours, and obviously across what it means 4 00:00:07,960 --> 00:00:09,920 Speaker 1: for investors is Sam Dickey from Fisher Fund, who is 5 00:00:09,960 --> 00:00:11,760 Speaker 1: with us now. Happy New year, Sam. 6 00:00:12,039 --> 00:00:13,239 Speaker 2: Happy to you here there, welcome back. 7 00:00:13,320 --> 00:00:14,080 Speaker 1: Yeah, thank you very much. 8 00:00:14,080 --> 00:00:14,280 Speaker 2: Back. 9 00:00:14,320 --> 00:00:17,080 Speaker 1: Now give me the highlights of what you think you 10 00:00:17,120 --> 00:00:18,920 Speaker 1: saw the results for both of these companies. 11 00:00:20,120 --> 00:00:25,360 Speaker 2: Definitely two contrasting fortunes. So Meta's share price was up 12 00:00:25,400 --> 00:00:28,560 Speaker 2: six percent after market earlier today and Microsoft's was down 13 00:00:28,680 --> 00:00:31,520 Speaker 2: six percent, and a couple of themes or reasons there. 14 00:00:32,000 --> 00:00:35,639 Speaker 2: Both companies revenue beat the expectations, and that's been an 15 00:00:35,640 --> 00:00:38,640 Speaker 2: ongoing theme really for the past couple of years. These 16 00:00:38,640 --> 00:00:41,360 Speaker 2: companies are either taking market share or growing the size 17 00:00:41,360 --> 00:00:46,559 Speaker 2: of their market in cloud, compute, advertising or software, and 18 00:00:46,600 --> 00:00:48,920 Speaker 2: a lot of that growth has been supercharged by AI, 19 00:00:49,080 --> 00:00:52,560 Speaker 2: which brings me to the cost to generate that revenue, 20 00:00:52,600 --> 00:00:55,320 Speaker 2: and that was the primary reason why there was a 21 00:00:55,920 --> 00:00:58,960 Speaker 2: disparity in the performance. So both companies are being increasing 22 00:00:59,000 --> 00:01:03,240 Speaker 2: their capital expenditure recently in recent quarters and sorry rapidly 23 00:01:03,240 --> 00:01:05,680 Speaker 2: in recent quarters, and this quarter was no different. So 24 00:01:05,760 --> 00:01:08,759 Speaker 2: for context, we spoke about this last year. The year 25 00:01:08,800 --> 00:01:11,560 Speaker 2: ahead capex for both companies combined was expected to be 26 00:01:11,600 --> 00:01:14,080 Speaker 2: about one hundred and forty billion this time last year. 27 00:01:14,360 --> 00:01:17,080 Speaker 2: It's now expected to be two hundred and sixty billion, 28 00:01:17,640 --> 00:01:20,880 Speaker 2: and that eighty billion dollar increases largely on AI infrastructure 29 00:01:20,880 --> 00:01:24,120 Speaker 2: and chips. So, in short, though Meta outperformed because it 30 00:01:24,160 --> 00:01:27,800 Speaker 2: beat revenue expectations by more. So both are spending an 31 00:01:27,840 --> 00:01:30,000 Speaker 2: accelerating amount, but Meta is on the face of it, 32 00:01:30,080 --> 00:01:31,920 Speaker 2: getting more return out of its spend. 33 00:01:32,560 --> 00:01:34,679 Speaker 1: And so what do you see as the key key 34 00:01:34,720 --> 00:01:36,000 Speaker 1: themes from these results? 35 00:01:37,080 --> 00:01:39,240 Speaker 2: I think it's what we talked about last week. I 36 00:01:39,319 --> 00:01:42,880 Speaker 2: talked about with Ryan is a key risk for investors 37 00:01:42,880 --> 00:01:45,280 Speaker 2: to watch in twenty twenty six is big tech companies 38 00:01:45,319 --> 00:01:47,360 Speaker 2: in the US and no longer been given a blank 39 00:01:47,480 --> 00:01:50,080 Speaker 2: check by the market to spend on AI, chips and 40 00:01:50,120 --> 00:01:54,120 Speaker 2: infrastructure at any cost. So they have to show accelerating 41 00:01:54,160 --> 00:01:57,040 Speaker 2: revenue or set another way. They have to justify the 42 00:01:57,080 --> 00:02:00,240 Speaker 2: massive dollars been invested by showing a decent return on 43 00:02:00,280 --> 00:02:03,360 Speaker 2: that spend. And we've got Google and Amazon next week 44 00:02:03,720 --> 00:02:07,320 Speaker 2: that will be extremely closely watched. And indeed, any company 45 00:02:07,360 --> 00:02:10,239 Speaker 2: that is just deploying capital at scale into Ai must 46 00:02:10,320 --> 00:02:11,400 Speaker 2: start showing a return. 47 00:02:12,880 --> 00:02:14,600 Speaker 1: Do you think that this gives any insight into what 48 00:02:14,639 --> 00:02:16,880 Speaker 1: we can use for the rest of the earning season. 49 00:02:18,040 --> 00:02:20,000 Speaker 2: I think that we are Another wrinkle actually, on top 50 00:02:20,040 --> 00:02:22,200 Speaker 2: of keeping an eye on how much these guys are 51 00:02:22,240 --> 00:02:25,920 Speaker 2: returning on that massive capex is open Ai, which is 52 00:02:25,919 --> 00:02:28,240 Speaker 2: the company behind chat GPT as we know, is quite 53 00:02:28,320 --> 00:02:31,000 Speaker 2: out of favor. And remember last year we talked about 54 00:02:30,680 --> 00:02:35,320 Speaker 2: the disconnect between the fifteen to twenty billion of revenue 55 00:02:35,320 --> 00:02:38,520 Speaker 2: that open ai generates and the more than one trillion 56 00:02:38,600 --> 00:02:42,760 Speaker 2: dollars of AI infrastructurability that they've committed to. So anything 57 00:02:42,800 --> 00:02:46,320 Speaker 2: associated with that has been under pressure. Oracle share prices 58 00:02:46,360 --> 00:02:48,560 Speaker 2: down to fifty percent, and remember they had committed to 59 00:02:48,560 --> 00:02:52,720 Speaker 2: spend huge amounts to house open AI's chips and Microsoft 60 00:02:52,720 --> 00:02:56,320 Speaker 2: today open ai accounts for about forty five percent of 61 00:02:56,320 --> 00:02:59,240 Speaker 2: their pipeline of business and their massive cloud operation. So 62 00:02:59,320 --> 00:03:02,440 Speaker 2: investors are a bit twitchy and there saying are open 63 00:03:02,560 --> 00:03:05,960 Speaker 2: Ai good for it? So anyone associated with open Ai 64 00:03:06,040 --> 00:03:08,919 Speaker 2: during this earning season should be watched closely. 65 00:03:09,320 --> 00:03:11,200 Speaker 1: Very interesting. Hey Sam, as always, it's lovely to talk 66 00:03:11,200 --> 00:03:12,360 Speaker 1: to you mate. We'll talk to you next week. Look 67 00:03:12,360 --> 00:03:15,040 Speaker 1: after yourself. That is Sam Dickey Forsher funds. 68 00:03:15,320 --> 00:03:17,520 Speaker 2: For more from Hither Duplessy Allen Drive. 69 00:03:17,680 --> 00:03:19,120 Speaker 1: Listen live to news talks. 70 00:03:19,120 --> 00:03:22,320 Speaker 2: It'd be from four pm weekdays, or follow the podcast 71 00:03:22,400 --> 00:03:23,440 Speaker 2: on iHeartRadio