1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:09,200 --> 00:00:12,080 Speaker 2: This is a breaking news update from Bloomberg. 3 00:00:12,920 --> 00:00:16,880 Speaker 3: Instant reaction and analysis from our three thousand journalists and 4 00:00:16,920 --> 00:00:18,439 Speaker 3: analysts around the world. 5 00:00:18,680 --> 00:00:20,880 Speaker 4: Carol Master along with Tim Steenway getting ready for a 6 00:00:20,920 --> 00:00:23,720 Speaker 4: big drop. You gotta be ready because they're bax seven 7 00:00:24,000 --> 00:00:26,320 Speaker 4: Edla Love of course, co host of Bloomberg Tech on 8 00:00:26,360 --> 00:00:29,400 Speaker 4: Bloomberg Television. He's out there in our San Francisco bureau, 9 00:00:29,800 --> 00:00:32,600 Speaker 4: also with us as our anaag Rana, Bloomberg Intelligence Senior 10 00:00:32,640 --> 00:00:37,159 Speaker 4: technolology analyst. He's out there in Chicago, honoreg I want 11 00:00:37,159 --> 00:00:39,600 Speaker 4: to kick it off with you go where you want. 12 00:00:39,840 --> 00:00:41,760 Speaker 4: There's a lot coming at US. I want to start 13 00:00:41,760 --> 00:00:42,480 Speaker 4: with Microsoft. 14 00:00:43,400 --> 00:00:45,920 Speaker 5: Yeah, so Microsoft did beat a little bit on the 15 00:00:45,960 --> 00:00:48,720 Speaker 5: Azure growth, so thirty eight percent goes to thirty nine, 16 00:00:49,040 --> 00:00:51,400 Speaker 5: So minor inflection up. We're going to hear on the 17 00:00:51,400 --> 00:00:53,680 Speaker 5: call whether they're going to use the they have used 18 00:00:53,680 --> 00:00:56,680 Speaker 5: sheep us internally, and what kind of guidance that they give. 19 00:00:57,000 --> 00:01:00,440 Speaker 5: So that's really Microsoft. But the two biggest shaka are 20 00:01:00,520 --> 00:01:04,839 Speaker 5: actually Google Cloud growth and AWS growth. Both have accelerated 21 00:01:04,959 --> 00:01:07,959 Speaker 5: quite a bit. That shows that their cloud strategy right 22 00:01:07,959 --> 00:01:11,240 Speaker 5: now is doing slightly better than MICROSOFTS. 23 00:01:11,000 --> 00:01:12,720 Speaker 3: And Love though, come on in here again. We've got 24 00:01:12,720 --> 00:01:15,039 Speaker 3: a great Roundtiller Love the Bloomberg Tech co host. That 25 00:01:15,120 --> 00:01:18,080 Speaker 3: was Honor Rna Bloomberg Intelligence senior analyst who we just 26 00:01:18,120 --> 00:01:19,480 Speaker 3: heard from. In in a minute, we're going to bring 27 00:01:19,560 --> 00:01:24,000 Speaker 3: in Ron Westfall Hyperframe Research, Infrastructure and Networking VP and 28 00:01:24,040 --> 00:01:26,520 Speaker 3: practice leader ed what's on your radar? 29 00:01:27,319 --> 00:01:30,399 Speaker 6: How hard it is to follow? Anna rag, I gave 30 00:01:30,440 --> 00:01:33,520 Speaker 6: you a little time, little time? Yeah, look I go 31 00:01:33,600 --> 00:01:37,840 Speaker 6: with it. Logical that AWS growth Amazon Web Services is 32 00:01:37,880 --> 00:01:41,640 Speaker 6: the number one position in cloud computing. Twenty eight percent 33 00:01:41,760 --> 00:01:45,479 Speaker 6: is the highest rate of growth for about fifteen quarters. 34 00:01:45,200 --> 00:01:48,760 Speaker 6: That's that's the severity of the performance. So going into this, 35 00:01:48,840 --> 00:01:52,080 Speaker 6: I'm trying to get a common thread between Alphabet, the 36 00:01:52,080 --> 00:01:55,480 Speaker 6: parent of Google AWS, and Microsoft. We looked for the 37 00:01:55,520 --> 00:01:58,600 Speaker 6: growth rates of cloud because the swing factor in the 38 00:01:58,600 --> 00:02:02,080 Speaker 6: market has been cap to expect. Investors have been willing 39 00:02:02,120 --> 00:02:04,480 Speaker 6: to look at the capital expenditures even if those numbers 40 00:02:04,480 --> 00:02:08,079 Speaker 6: get bigger. But in return, they want to see outperformance 41 00:02:08,160 --> 00:02:11,520 Speaker 6: in cloud computing growth driven by AI and also they 42 00:02:11,560 --> 00:02:15,399 Speaker 6: want to see some kind of forward guidance boosted forward guidance, 43 00:02:15,440 --> 00:02:18,320 Speaker 6: and so in these statements we have the numbers on 44 00:02:18,360 --> 00:02:21,320 Speaker 6: growth of cloud. We don't have a capital expenditures figure 45 00:02:21,360 --> 00:02:25,040 Speaker 6: for AWS that's any different from prior guidance. Meta does 46 00:02:25,080 --> 00:02:27,480 Speaker 6: have a new capital expenditures figure, and I would just 47 00:02:27,480 --> 00:02:28,640 Speaker 6: suggest we go to that next. 48 00:02:28,720 --> 00:02:30,800 Speaker 3: Well, that's exactly where I want to go. One hundred 49 00:02:30,800 --> 00:02:32,600 Speaker 3: and twenty five to one hundred and forty five billion 50 00:02:32,639 --> 00:02:34,760 Speaker 3: dollars increase from a prior range of one hundred and 51 00:02:34,800 --> 00:02:37,560 Speaker 3: fifteen to one hundred and thirty five billion dollars. As 52 00:02:37,560 --> 00:02:39,799 Speaker 3: a result, we're seeing shares of Meta platforms carrilled down 53 00:02:39,800 --> 00:02:41,400 Speaker 3: by six point three percent. 54 00:02:41,520 --> 00:02:44,720 Speaker 4: Yeah. Kurt Wagner, a tech reporter on the Metal Live blog. 55 00:02:44,800 --> 00:02:47,560 Speaker 4: From the release, we anticipate twenty twenty six capex, including 56 00:02:47,560 --> 00:02:51,280 Speaker 4: those principal payments on finance leases, to be in the 57 00:02:51,360 --> 00:02:53,440 Speaker 4: range of that one twenty five to one forty five billion, 58 00:02:53,680 --> 00:02:57,480 Speaker 4: So increase from that range, just to reiterate, So that's 59 00:02:57,520 --> 00:02:58,120 Speaker 4: a problem in. 60 00:02:58,960 --> 00:03:01,720 Speaker 6: Well, let's just do the calculation right, So we know 61 00:03:01,800 --> 00:03:04,520 Speaker 6: that capex is going up, what is the outlook for growth? 62 00:03:04,840 --> 00:03:06,200 Speaker 2: Revenue in the current period? 63 00:03:06,240 --> 00:03:10,160 Speaker 6: Second quarter will be fifty eight billion to sixty one 64 00:03:10,200 --> 00:03:13,560 Speaker 6: billion dollars. Consensus was fifty nine point six billion. That 65 00:03:14,400 --> 00:03:16,920 Speaker 6: is right in line. And we went into this knowing 66 00:03:17,160 --> 00:03:19,640 Speaker 6: based on a summary of the cell side and of 67 00:03:19,680 --> 00:03:22,840 Speaker 6: the buy side that if the CAPEX numbers get higher, 68 00:03:23,160 --> 00:03:25,959 Speaker 6: they want to see growth also going up. In terms 69 00:03:26,000 --> 00:03:29,320 Speaker 6: of guidance going forward, and you know this second quarter 70 00:03:29,360 --> 00:03:32,720 Speaker 6: guide on Meta sales, it's very in line with expectation. 71 00:03:33,520 --> 00:03:36,280 Speaker 3: I want to bring in Ron Westfall, Hyperframe Research, Infrastructure 72 00:03:36,280 --> 00:03:38,600 Speaker 3: and Networking VP and practice leader. I want to stay 73 00:03:38,600 --> 00:03:41,840 Speaker 3: on what Ed was talking about Ron, and that's Meta 74 00:03:42,960 --> 00:03:47,000 Speaker 3: Meta's CAPEX estimate. We're also seeing some headlines. Headwinds in 75 00:03:47,040 --> 00:03:50,440 Speaker 3: the EU and US could significantly impact results. The company 76 00:03:50,480 --> 00:03:54,000 Speaker 3: sees scrutiny on youth related issues as well. Shares of 77 00:03:54,000 --> 00:03:56,160 Speaker 3: Meta platforms right now down about five and a half percent, 78 00:03:56,200 --> 00:04:00,880 Speaker 3: but it does seem like more important is CAPEX number 79 00:04:00,920 --> 00:04:03,040 Speaker 3: hen and twenty five hundred and forty five billion increase 80 00:04:03,080 --> 00:04:05,480 Speaker 3: from that prior range of one hundred and fifteen two 81 00:04:05,480 --> 00:04:07,640 Speaker 3: one hundred and thirty five billion dollars. What are your thoughts? 82 00:04:09,080 --> 00:04:12,320 Speaker 7: Sure, I like to start with looking at the bigger picture. 83 00:04:12,800 --> 00:04:17,800 Speaker 7: I would see Meta as certainly benefiting overall despite the 84 00:04:17,839 --> 00:04:23,400 Speaker 7: recent dip from the overall market expectations that is the 85 00:04:23,440 --> 00:04:28,280 Speaker 7: total addressable market for Meta alongside the other of the 86 00:04:28,520 --> 00:04:32,359 Speaker 7: major four that are coming out this week, is a 87 00:04:32,440 --> 00:04:36,560 Speaker 7: total addressable market of up to eleven trillion dollars, and 88 00:04:36,640 --> 00:04:40,680 Speaker 7: so I think that's going to definitely enable Meta as 89 00:04:40,720 --> 00:04:45,200 Speaker 7: well as the other players to continue with the upswing 90 00:04:45,360 --> 00:04:48,440 Speaker 7: and capex. And yes, that's causing concern, but I think 91 00:04:48,480 --> 00:04:50,160 Speaker 7: what we're looking at is when you look at the 92 00:04:50,200 --> 00:04:54,720 Speaker 7: group burnings, they're projected to grow twenty percent year over year, 93 00:04:55,240 --> 00:04:58,120 Speaker 7: and that is outpacing the overall S and P five 94 00:04:58,240 --> 00:05:03,279 Speaker 7: hundred fourteen point five percent growth expectation. And so as 95 00:05:03,279 --> 00:05:07,320 Speaker 7: a result, I'm anticipating that Meta will definitely be looking 96 00:05:07,400 --> 00:05:10,880 Speaker 7: pretty solid over the course of the year and further out, 97 00:05:11,279 --> 00:05:16,279 Speaker 7: because not only is it upping its CAPEX expenditures, however, 98 00:05:16,520 --> 00:05:20,159 Speaker 7: it's also I think benefiting from trading at a relatively 99 00:05:20,200 --> 00:05:24,200 Speaker 7: conservative forward pe ratio of the lower to mid twenties, 100 00:05:24,240 --> 00:05:27,040 Speaker 7: as you know that fluctuates on a daily basis, and 101 00:05:27,120 --> 00:05:30,080 Speaker 7: they're definitely benefiting from the fact that they're monetizing AI 102 00:05:30,200 --> 00:05:33,400 Speaker 7: more rapidly than some of the other Max seven thanks 103 00:05:33,440 --> 00:05:38,680 Speaker 7: to their social platforms, certainly including Facebook as well as 104 00:05:38,720 --> 00:05:41,880 Speaker 7: Instagram and so I think that's something that will definitely 105 00:05:41,920 --> 00:05:46,159 Speaker 7: be something to definitely look at as we find out 106 00:05:46,160 --> 00:05:48,159 Speaker 7: what Meta is really going to do for the rest 107 00:05:48,200 --> 00:05:48,640 Speaker 7: of the year. 108 00:05:49,440 --> 00:05:51,240 Speaker 4: All right, folks, I want to go over to Amazon. 109 00:05:51,680 --> 00:05:54,119 Speaker 4: A couple of things also popping up, fifty nine point 110 00:05:54,560 --> 00:05:57,520 Speaker 4: three billion year year rise and purchase of property and equipment. 111 00:05:57,560 --> 00:06:01,880 Speaker 4: They say the increase in purchases reflect investment in AI. 112 00:06:02,279 --> 00:06:05,120 Speaker 4: They also say, ed fred free cash flow fil to 113 00:06:05,200 --> 00:06:07,279 Speaker 4: one point two billion for trailing twelve months. Come on 114 00:06:07,320 --> 00:06:08,160 Speaker 4: back in lot though. 115 00:06:08,240 --> 00:06:11,080 Speaker 6: Yeah, so this is exactly what I've got on my screen. 116 00:06:11,240 --> 00:06:15,200 Speaker 6: So the story financially for each company is slightly different. 117 00:06:15,560 --> 00:06:17,880 Speaker 6: If we focus on Amazon, it's spending so much on 118 00:06:17,960 --> 00:06:23,360 Speaker 6: AI infrastructure that trailing twelvemonth three cash flow basically falls 119 00:06:23,360 --> 00:06:27,400 Speaker 6: from twenty six billion dollars to one point two billion dollars. 120 00:06:27,600 --> 00:06:31,599 Speaker 6: Operating cash flow rises. Amazon's are complicated business, right, you know, 121 00:06:31,760 --> 00:06:36,080 Speaker 6: AWS largely accounts for most of operating income, but increasingly, 122 00:06:36,160 --> 00:06:39,480 Speaker 6: like ADS is important on the e commerce side. And 123 00:06:40,160 --> 00:06:42,520 Speaker 6: I'm hoping that that Ana Rag will kind of talk 124 00:06:42,560 --> 00:06:44,359 Speaker 6: a little bit about that this is kind of a 125 00:06:44,400 --> 00:06:48,840 Speaker 6: classics building cycle signal though, and to this point, and 126 00:06:48,880 --> 00:06:50,440 Speaker 6: you know, maybe one of the other guys and weigh 127 00:06:50,440 --> 00:06:54,920 Speaker 6: in on this. I'm just but a journalist, but you know, 128 00:06:55,360 --> 00:06:58,839 Speaker 6: the market has been really sanguine about negative free cash 129 00:06:58,880 --> 00:07:01,480 Speaker 6: flow or the prospect of it. You know that it's 130 00:07:01,520 --> 00:07:05,680 Speaker 6: not something that everyone's like freaked out over. Basically, that's 131 00:07:05,720 --> 00:07:06,960 Speaker 6: a very simple way of putting it. 132 00:07:07,440 --> 00:07:10,480 Speaker 4: Ron come on back in Ron westfall of hyperframe. How 133 00:07:10,560 --> 00:07:12,560 Speaker 4: do you see it in terms of what Amazon's up to. 134 00:07:12,840 --> 00:07:15,440 Speaker 4: I like that idea and this concept of you've got 135 00:07:15,440 --> 00:07:18,760 Speaker 4: to spend to build for future revenue, But how do 136 00:07:18,800 --> 00:07:19,280 Speaker 4: you see it? 137 00:07:21,080 --> 00:07:27,520 Speaker 7: I think AWS is definitely benefiting Amazon's overall prospects, and 138 00:07:27,600 --> 00:07:30,840 Speaker 7: I think that's underlined by the fact that the AWSAI 139 00:07:30,920 --> 00:07:35,040 Speaker 7: revenue run rate has already gone past fifteen billion dollars, 140 00:07:35,720 --> 00:07:38,840 Speaker 7: and that's linking to the fact that as growth is 141 00:07:39,000 --> 00:07:43,920 Speaker 7: projected to accelerate toward twenty five point six percent following 142 00:07:44,200 --> 00:07:47,840 Speaker 7: its landmark one hundred billion dollar infrastructure deal with Anthropic. 143 00:07:48,360 --> 00:07:50,800 Speaker 7: So clearly that's something that I think will create not 144 00:07:50,840 --> 00:07:54,640 Speaker 7: only positive perception, but I think it's giving you know, 145 00:07:54,680 --> 00:07:58,720 Speaker 7: the hard numbers that AWS needs to continue with these 146 00:07:59,080 --> 00:08:03,920 Speaker 7: cap asks expansions. Also, I think it's important to note 147 00:08:03,960 --> 00:08:08,480 Speaker 7: that AWS capacity is selling out immediately, and so that's 148 00:08:08,520 --> 00:08:11,720 Speaker 7: supported by a massive two hundred and forty four billion 149 00:08:11,760 --> 00:08:17,320 Speaker 7: dollar contracted backlog, as well as high margin revenue from 150 00:08:17,360 --> 00:08:20,840 Speaker 7: its trainium and graviton chips, and these I think are 151 00:08:20,880 --> 00:08:24,760 Speaker 7: offset of concerns around the large margin pressure from the 152 00:08:24,760 --> 00:08:29,280 Speaker 7: two hundred billion dollar billion planned and capital expenditures for 153 00:08:29,640 --> 00:08:32,840 Speaker 7: the year. And so you take this together, I think 154 00:08:33,240 --> 00:08:36,440 Speaker 7: net positive is what Amazon is going to bring to 155 00:08:36,480 --> 00:08:39,280 Speaker 7: the table. It's definitely, I think something that applies to 156 00:08:39,320 --> 00:08:43,479 Speaker 7: all the hyperscalers, and Amazon I think is definitely positioned 157 00:08:43,480 --> 00:08:47,240 Speaker 7: to improve on its performance. As a result, we've got. 158 00:08:47,160 --> 00:08:48,880 Speaker 4: To go to Alphabet, which is up three and a 159 00:08:48,920 --> 00:08:50,280 Speaker 4: half percent here in the aftermarket. 160 00:08:50,360 --> 00:08:53,319 Speaker 3: Yeah. The company reported quarterly revenue and profited beat projections. 161 00:08:53,360 --> 00:08:56,040 Speaker 3: It was fueled by strong growth in its cloud computing unit. 162 00:08:56,400 --> 00:08:59,480 Speaker 3: Its signaled that the Internet Giant's unprecedented investments in AI 163 00:08:59,520 --> 00:09:03,280 Speaker 3: infrastructure are beginning to pay off. The company said that 164 00:09:03,320 --> 00:09:06,440 Speaker 3: first quarter revenue excluding those partner payouts, was ninety four 165 00:09:06,480 --> 00:09:09,319 Speaker 3: point seven billion dollars. That compares to the ninety one 166 00:09:09,320 --> 00:09:12,480 Speaker 3: point six billion dollars expected on average by analysts. That's 167 00:09:12,520 --> 00:09:14,880 Speaker 3: according to data compiled by Bloomberg. 168 00:09:15,000 --> 00:09:17,480 Speaker 4: All right, still with us is Ed Lulow, a Bloomberg 169 00:09:17,480 --> 00:09:20,920 Speaker 4: Tech co host Bloomberg TV, and our Agrana Bloomberg Intelligence 170 00:09:20,960 --> 00:09:25,200 Speaker 4: Senior technology analyst, Ed. As we continue to go through 171 00:09:25,200 --> 00:09:27,400 Speaker 4: these numbers and results, where do you want to go? 172 00:09:28,080 --> 00:09:28,280 Speaker 1: Yeah? 173 00:09:28,280 --> 00:09:29,959 Speaker 2: I think you guys have done a masterful job. 174 00:09:30,480 --> 00:09:33,200 Speaker 6: You know, the the cloud growth rate, if we put 175 00:09:33,320 --> 00:09:36,439 Speaker 6: medatus to one side for a minute, is really interesting 176 00:09:36,480 --> 00:09:39,280 Speaker 6: because all things are relative. So you know, Ana rag 177 00:09:39,360 --> 00:09:42,240 Speaker 6: pointed out if you if you focus on Google cloud 178 00:09:42,600 --> 00:09:47,079 Speaker 6: sixty three percent growth. You know, AI is for them 179 00:09:47,640 --> 00:09:50,599 Speaker 6: also boosting search, right, and they had this kind of 180 00:09:50,720 --> 00:09:54,880 Speaker 6: dual benefit, which is really interesting. They reported a metric 181 00:09:54,920 --> 00:09:57,120 Speaker 6: that we've kind of not skipped over, but there's so 182 00:09:57,240 --> 00:10:00,679 Speaker 6: much news it gets buried, which is that Gemini for Enterprise, 183 00:10:00,760 --> 00:10:05,000 Speaker 6: in other words, their AI tool that businesses pay for 184 00:10:05,600 --> 00:10:09,360 Speaker 6: saw its active user base grow forty percent quarter on quarter. 185 00:10:09,840 --> 00:10:11,960 Speaker 2: So there was a big jump in that. And the 186 00:10:12,000 --> 00:10:13,719 Speaker 2: reason I flagged. 187 00:10:13,320 --> 00:10:16,040 Speaker 6: That as important is that that's the standard to which 188 00:10:16,080 --> 00:10:20,840 Speaker 6: we hold open ai right and andthropic. You know, but 189 00:10:20,920 --> 00:10:23,000 Speaker 6: the markets of earlier this week were spooked by the 190 00:10:23,040 --> 00:10:26,160 Speaker 6: Wall Street Journal report of Open AI missing its own 191 00:10:26,200 --> 00:10:29,400 Speaker 6: internal metrics. One of them was the active user base 192 00:10:29,440 --> 00:10:33,240 Speaker 6: of chat GPT, which isn't universally an enterprise product, it's consumer. 193 00:10:33,480 --> 00:10:36,000 Speaker 6: But I find that to be really interesting, and you know, 194 00:10:36,040 --> 00:10:38,760 Speaker 6: it shows tangible growth on the other side of people 195 00:10:38,800 --> 00:10:43,160 Speaker 6: actually using this. This the Gemini tool in the real world, 196 00:10:43,280 --> 00:10:44,319 Speaker 6: you know, right, which. 197 00:10:44,160 --> 00:10:46,000 Speaker 4: We all keep talking about. We need to see, right 198 00:10:46,000 --> 00:10:48,680 Speaker 4: to kind of justify the spend. All right, We're going 199 00:10:48,760 --> 00:10:52,400 Speaker 4: to continue with Ed Ludlow and of course Ron Westfall 200 00:10:52,520 --> 00:10:55,280 Speaker 4: in just a moment. As we mentioned, Alphabet is now 201 00:10:55,360 --> 00:10:58,559 Speaker 4: up about five point eight percent here in the aftermarket. 202 00:10:58,600 --> 00:11:01,120 Speaker 4: We're looking at Amazon down about two point four percent, 203 00:11:01,280 --> 00:11:04,360 Speaker 4: Meta a decline of five point three percent, and then 204 00:11:04,400 --> 00:11:07,199 Speaker 4: we've also got Microsoft out with its results and we're 205 00:11:07,200 --> 00:11:09,800 Speaker 4: seeing this one. It's been under pressure in the aftermarket 206 00:11:09,840 --> 00:11:11,960 Speaker 4: right now, Tim about one point eight percent. 207 00:11:12,160 --> 00:11:15,280 Speaker 3: Hey, we were talking about meta platforms. We have spoken 208 00:11:15,360 --> 00:11:18,480 Speaker 3: quite a bit about Amazon, Qualcom and more. I want 209 00:11:18,480 --> 00:11:22,480 Speaker 3: to bring Alphabet to our attention, six point six percent higher. 210 00:11:22,800 --> 00:11:25,160 Speaker 3: In the after hours, the company reported quarterly revenue and 211 00:11:25,200 --> 00:11:27,520 Speaker 3: profit that beat projections. It was fueled by strong growth 212 00:11:27,760 --> 00:11:31,160 Speaker 3: in its cloud computing unit. That cloud computing unit reported 213 00:11:31,160 --> 00:11:34,319 Speaker 3: sales of twenty billion dollars with a quote meaningful acceleration 214 00:11:34,400 --> 00:11:38,040 Speaker 3: in growth driven by demand for its AI software and infrastructure. 215 00:11:38,200 --> 00:11:40,400 Speaker 3: I want to bring it back in Ed Ludlow, Bloomberg 216 00:11:40,440 --> 00:11:43,839 Speaker 3: Tech co host and Ron Westfall hyper frame research, infrastructure 217 00:11:43,920 --> 00:11:47,000 Speaker 3: networking VP and a practice leader. Ron, I want to 218 00:11:47,000 --> 00:11:49,520 Speaker 3: start with you in alphabet because we are seeing share 219 00:11:49,600 --> 00:11:52,439 Speaker 3: surge in the after hours. The company reported earnings per 220 00:11:52,440 --> 00:11:55,640 Speaker 3: share of five dollars and eleven cents, compared with Wall 221 00:11:55,640 --> 00:11:59,400 Speaker 3: Street's two dollars and sixty two per share estimate. The 222 00:11:59,440 --> 00:12:02,600 Speaker 3: cloud growth to certainly top of mind. We should remind 223 00:12:02,640 --> 00:12:06,280 Speaker 3: everybody that you know, it competes against AWS and Microsoft's Azure. 224 00:12:07,040 --> 00:12:09,160 Speaker 3: This report, though, what sticks out to you? 225 00:12:11,040 --> 00:12:14,760 Speaker 7: Yeah, I think it's pointing to that Google is making 226 00:12:14,960 --> 00:12:18,400 Speaker 7: more in roads in terms of capturing you know, mind 227 00:12:18,440 --> 00:12:23,360 Speaker 7: share amongst the hyper scale competition. And I think what 228 00:12:23,400 --> 00:12:25,760 Speaker 7: we saw is that when you look at Google Cloud 229 00:12:25,800 --> 00:12:30,559 Speaker 7: specifically and reporting over twenty billion revenue, well that basically 230 00:12:30,800 --> 00:12:33,839 Speaker 7: beat out the analyst estimates, and that is I think 231 00:12:33,880 --> 00:12:37,800 Speaker 7: a remarkable sixty three percent you overhear growth rate, and 232 00:12:37,840 --> 00:12:42,120 Speaker 7: so that by itself is congratulatory. And when you look 233 00:12:42,240 --> 00:12:46,000 Speaker 7: further down, it's like, okay, why are the cloud margins 234 00:12:46,040 --> 00:12:50,520 Speaker 7: expanding to nearly thirty percent, up from just twenty percent 235 00:12:50,880 --> 00:12:54,280 Speaker 7: six months ago. I think what is resonating is that 236 00:12:54,320 --> 00:12:58,439 Speaker 7: the company is making the right moves. Certainly, it's acquisition 237 00:12:58,520 --> 00:13:02,800 Speaker 7: of wiz, which closed just last month and has already 238 00:13:02,840 --> 00:13:08,720 Speaker 7: become integrated. It's making Google Cloud a more attractive choice 239 00:13:08,800 --> 00:13:13,640 Speaker 7: for enterprises that are requiring sovereign and highly secure AI environments. 240 00:13:13,640 --> 00:13:16,839 Speaker 7: And that is certainly a hot topic in our conversations, 241 00:13:17,200 --> 00:13:20,840 Speaker 7: and that is sovereign AI is something that will underpin 242 00:13:21,120 --> 00:13:25,920 Speaker 7: confidence and the ability of enterprises to adopt the hyper 243 00:13:25,920 --> 00:13:29,800 Speaker 7: scale AI services and so forth. And certainly that comes 244 00:13:29,880 --> 00:13:34,439 Speaker 7: to inferencing, and that is, you know, ensuring that their propriety, 245 00:13:34,679 --> 00:13:38,520 Speaker 7: proprietary data never falls into the wrong hands, that you know, 246 00:13:38,559 --> 00:13:40,400 Speaker 7: it's not going to be something that will be exposed 247 00:13:40,720 --> 00:13:44,040 Speaker 7: out in the public cloud at part of it. And 248 00:13:44,120 --> 00:13:46,480 Speaker 7: I think what's also important is that what we saw 249 00:13:46,480 --> 00:13:49,960 Speaker 7: at Google Cloud Next just you know, last week, is 250 00:13:50,000 --> 00:13:54,640 Speaker 7: that when it comes to uh, you know, the TPU silicon, 251 00:13:55,080 --> 00:13:59,120 Speaker 7: Google is coming up with innovative ways to augment the 252 00:13:59,240 --> 00:14:02,160 Speaker 7: NVIDIA capable at least they have in house certainly they 253 00:14:02,240 --> 00:14:05,760 Speaker 7: use their TPUs to train their own models in house, 254 00:14:05,800 --> 00:14:08,560 Speaker 7: that includes a Gemini for example. But I think they're 255 00:14:08,640 --> 00:14:12,640 Speaker 7: smart about how they're now diversifying their AI chip sets 256 00:14:12,679 --> 00:14:16,640 Speaker 7: to stand out. That is, now they have TPU what 257 00:14:16,679 --> 00:14:20,400 Speaker 7: they're calling t eight that is that is a specific 258 00:14:20,880 --> 00:14:24,320 Speaker 7: for training only, but now they also have the TPU 259 00:14:24,400 --> 00:14:27,440 Speaker 7: eight I, which is for inferencing. And so what we're 260 00:14:27,480 --> 00:14:31,080 Speaker 7: seeing is a fundamental shift more toward inferencing. That is, 261 00:14:31,160 --> 00:14:36,160 Speaker 7: you know, the AI capabilities being used in play, that is, 262 00:14:36,520 --> 00:14:41,120 Speaker 7: the ability to use handsets and other capabilities that take 263 00:14:41,200 --> 00:14:44,640 Speaker 7: what has already been trained and actually apply to real 264 00:14:44,680 --> 00:14:48,400 Speaker 7: world scenarios. And so as a result, I think this 265 00:14:48,560 --> 00:14:54,640 Speaker 7: is why Alphabet is definitely making inroads with winning more 266 00:14:55,160 --> 00:14:59,120 Speaker 7: cloud business. And if you look at Alphabet overall, I 267 00:14:59,120 --> 00:15:01,360 Speaker 7: think also it's import to note that when it comes 268 00:15:01,440 --> 00:15:06,440 Speaker 7: to diversifying revenue streams that their way MO unit is 269 00:15:06,480 --> 00:15:10,120 Speaker 7: definitely making it would say waves. So that is that's 270 00:15:10,160 --> 00:15:13,120 Speaker 7: already scaling up to one million rides and so that 271 00:15:13,240 --> 00:15:17,240 Speaker 7: I think is something that will definitely continue the revenue 272 00:15:17,280 --> 00:15:19,240 Speaker 7: generating capabilities moving forward. 273 00:15:19,400 --> 00:15:22,000 Speaker 4: Well, we're definitely seeing it. Jine in the aftermarket now 274 00:15:22,080 --> 00:15:24,760 Speaker 4: up about six point two percent here. I mean listen, 275 00:15:24,800 --> 00:15:27,640 Speaker 4: to be fair, Alphabet's definitely been hustling when it comes 276 00:15:27,720 --> 00:15:30,520 Speaker 4: to AI. Amazon right now though down about one point 277 00:15:30,560 --> 00:15:32,040 Speaker 4: nine percent. We want to get a little bit more 278 00:15:32,080 --> 00:15:35,360 Speaker 4: on Amazon. And with that, Matt Day, Bloomberg News Technology 279 00:15:35,360 --> 00:15:39,120 Speaker 4: reporter follows the company joining us right now. Matt, walk 280 00:15:39,160 --> 00:15:41,560 Speaker 4: us through what you think is important for our audience. 281 00:15:42,800 --> 00:15:45,160 Speaker 1: You can go back to what Jeff Bezos said was important, 282 00:15:45,240 --> 00:15:47,720 Speaker 1: his favorite metric, free cash flow. If you look at 283 00:15:47,760 --> 00:15:49,880 Speaker 1: Amazon the last twelve months, it's not zero, but it's 284 00:15:49,880 --> 00:15:51,520 Speaker 1: pretty close to zero, and it's a whole lot closer 285 00:15:51,560 --> 00:15:54,240 Speaker 1: than it was last year. So the reason for that, obviously, 286 00:15:54,280 --> 00:15:57,600 Speaker 1: it's AI spending. It's data centers, a whole lot of 287 00:15:57,600 --> 00:16:00,720 Speaker 1: property and equipment that there's spend money on these days. 288 00:16:01,840 --> 00:16:05,120 Speaker 1: The cloud revenue is good, it's going up. It beat expectations. 289 00:16:05,480 --> 00:16:08,080 Speaker 1: But just a reminder for Amazon investors, they're spending a 290 00:16:08,080 --> 00:16:09,600 Speaker 1: whole lot to get a seat at this table. 291 00:16:10,760 --> 00:16:12,160 Speaker 3: Is the spending paying off? 292 00:16:13,920 --> 00:16:16,200 Speaker 1: It looks like it if you if you roll things 293 00:16:16,240 --> 00:16:18,800 Speaker 1: back a few months ago, folks were really concerned about 294 00:16:18,800 --> 00:16:22,960 Speaker 1: Amazon's position in cloud, and we're just talked about Google, Microsoft, 295 00:16:23,000 --> 00:16:24,480 Speaker 1: was also really hot, and they kind of looked like 296 00:16:24,520 --> 00:16:26,440 Speaker 1: they might be sort of the third place cloud of 297 00:16:26,480 --> 00:16:29,280 Speaker 1: the AI era. To boil it down. Since then, they've 298 00:16:29,280 --> 00:16:31,800 Speaker 1: done these big mechad deals with open Ai, with Anthropic, 299 00:16:32,320 --> 00:16:33,720 Speaker 1: and it looks like some of that is starting to 300 00:16:33,960 --> 00:16:36,160 Speaker 1: filter into their at their cloud results, they've accelerated the 301 00:16:36,200 --> 00:16:37,040 Speaker 1: last couple of quarters. 302 00:16:37,200 --> 00:16:40,680 Speaker 4: Anything you're scratching your head over here, Matt a little. 303 00:16:40,720 --> 00:16:43,760 Speaker 1: The market reaction, honestly, is they beat on so many 304 00:16:43,800 --> 00:16:46,280 Speaker 1: things that if it feels like a lot of these 305 00:16:46,680 --> 00:16:49,480 Speaker 1: big tech names been going between Capex freak out to 306 00:16:49,760 --> 00:16:51,960 Speaker 1: you know, OAI is the future and in quarter quarter, 307 00:16:52,000 --> 00:16:53,440 Speaker 1: it's kind of hard to tell what folks are stinking 308 00:16:53,480 --> 00:16:54,120 Speaker 1: their teeth into. 309 00:16:54,480 --> 00:16:56,920 Speaker 3: Is the yeah, oh, go ahead, Carol, No, go ahead. 310 00:16:57,000 --> 00:17:02,360 Speaker 3: The investing that Amazon has done in open Ai and Anthropic, 311 00:17:02,640 --> 00:17:05,359 Speaker 3: it's committed that they'll h to spend more than one 312 00:17:05,400 --> 00:17:08,879 Speaker 3: hundred billion dollars on AWS services in the coming years 313 00:17:09,520 --> 00:17:14,680 Speaker 3: between those two. How do investors look at that, because 314 00:17:15,280 --> 00:17:18,080 Speaker 3: it's do they look at it as venture like the 315 00:17:18,160 --> 00:17:21,439 Speaker 3: company's making a bet, like a venture capitalist bet, or 316 00:17:21,440 --> 00:17:26,440 Speaker 3: does it look like the companies trying, you know, guaranteeing 317 00:17:26,720 --> 00:17:31,240 Speaker 3: business by making these investments in exchange for AWS usage. 318 00:17:32,200 --> 00:17:34,159 Speaker 1: I mean, some of it is is clearly buying business 319 00:17:34,160 --> 00:17:35,960 Speaker 1: a little bit right, making sure that you've got entitlement 320 00:17:36,040 --> 00:17:38,800 Speaker 1: relationship with open AI that they want to spend. But 321 00:17:38,800 --> 00:17:40,720 Speaker 1: I think there are some long term questions. You know, 322 00:17:40,760 --> 00:17:43,280 Speaker 1: Oracle has seen versions of this. Microsoft have seen this 323 00:17:43,400 --> 00:17:46,200 Speaker 1: where you know, investors start to discount. Okay, Sam Maltman 324 00:17:46,240 --> 00:17:48,840 Speaker 1: has pledged to spend you know, one trillion dollars plus 325 00:17:48,920 --> 00:17:50,560 Speaker 1: all over the place. How much of that is going 326 00:17:50,600 --> 00:17:53,200 Speaker 1: to materialize? Right? So now Amazon's in a position where they've 327 00:17:53,200 --> 00:17:56,240 Speaker 1: definitely got a slice of that alongside anthropic spending. So 328 00:17:56,320 --> 00:17:59,240 Speaker 1: the question is, you know, when does that materialize, Where 329 00:17:59,240 --> 00:18:00,600 Speaker 1: do you start to put that up on the calendar, 330 00:18:00,640 --> 00:18:02,720 Speaker 1: and how much of a sure thing does that become. 331 00:18:03,240 --> 00:18:06,720 Speaker 3: I want to bring back Ron Westfall, Hyperframe Research, Infrastructure Networking, 332 00:18:06,760 --> 00:18:09,280 Speaker 3: a VPN practice leader. He has been with us for 333 00:18:09,359 --> 00:18:11,560 Speaker 3: about an hour as the slew of earnings came in 334 00:18:11,600 --> 00:18:14,840 Speaker 3: at thanks to ED, we know at seventy one seconds 335 00:18:14,840 --> 00:18:17,800 Speaker 3: for all of these companies to report, we're still you know, 336 00:18:17,880 --> 00:18:20,560 Speaker 3: breaking our making our way through all of these I 337 00:18:20,640 --> 00:18:23,239 Speaker 3: weigh in on Amazon, what we've heard from Matt what 338 00:18:23,280 --> 00:18:27,280 Speaker 3: we've heard from Ed as well, because this is a 339 00:18:27,280 --> 00:18:30,800 Speaker 3: company where you know, certainly AWS is the star, but 340 00:18:30,920 --> 00:18:33,320 Speaker 3: it also and that's what moves the needle, but it 341 00:18:33,359 --> 00:18:37,200 Speaker 3: also gives us a good idea of what Americans are 342 00:18:37,200 --> 00:18:41,640 Speaker 3: paying and how American consumer spending is holding up, even 343 00:18:41,680 --> 00:18:43,600 Speaker 3: though that's not really what moves the stock. 344 00:18:46,440 --> 00:18:50,440 Speaker 7: It's amazing. I think when you're looking at Okay, what 345 00:18:50,960 --> 00:18:56,720 Speaker 7: is Amazon doing? That is you know, continuing these organizations 346 00:18:56,800 --> 00:19:01,600 Speaker 7: as well as consumers to you know, use their certainly 347 00:19:01,640 --> 00:19:08,080 Speaker 7: their services. And I think when he snapshot for example AWS, 348 00:19:08,119 --> 00:19:12,240 Speaker 7: that is, you know, the enterprises are using Amazon bedrock, 349 00:19:12,920 --> 00:19:18,240 Speaker 7: and that is underlined by their trainingum to Inferentia chipsets. 350 00:19:18,720 --> 00:19:22,000 Speaker 7: And if you look at that, that chipset business alone 351 00:19:22,560 --> 00:19:26,640 Speaker 7: is reached twenty billion dollars in annualize revenue run rate. 352 00:19:27,000 --> 00:19:29,280 Speaker 7: And so I think this is pointing to that Amazon 353 00:19:29,400 --> 00:19:33,360 Speaker 7: is making the right bets across its entire portfolio. It's 354 00:19:33,400 --> 00:19:36,959 Speaker 7: not just about Okay, how can we improve you know, 355 00:19:37,000 --> 00:19:42,000 Speaker 7: the Amazon experience, but also how can AWS meet business 356 00:19:42,000 --> 00:19:45,240 Speaker 7: needs on across the board basis. And I think, yeah, 357 00:19:45,280 --> 00:19:47,879 Speaker 7: when it comes to fundamentals, when we're looking at Amazon, 358 00:19:48,600 --> 00:19:52,720 Speaker 7: Amazon advertising. He's on track to exceed seventy billion dollars 359 00:19:53,080 --> 00:19:56,239 Speaker 7: in revenue just this year. And that is, you know, 360 00:19:56,359 --> 00:19:58,600 Speaker 7: tied to the fact that there's so much high intent 361 00:19:58,720 --> 00:20:02,320 Speaker 7: purchase data information that they're able to leverage that it's 362 00:20:02,440 --> 00:20:07,760 Speaker 7: improving their capability. So that is again underlying why AI 363 00:20:08,040 --> 00:20:10,800 Speaker 7: is making a difference in terms of their business model. 364 00:20:11,080 --> 00:20:13,360 Speaker 7: And I think it's also reflected in what we talked 365 00:20:13,400 --> 00:20:13,800 Speaker 7: about in. 366 00:20:13,760 --> 00:20:14,560 Speaker 2: Terms of the metas. 367 00:20:15,160 --> 00:20:17,640 Speaker 7: Hey, guys, something I think will improve. 368 00:20:18,000 --> 00:20:21,080 Speaker 4: No, this is all good stuff, really good stuff. We 369 00:20:21,200 --> 00:20:23,000 Speaker 4: could go on and on. Hey, we've got about two 370 00:20:23,000 --> 00:20:25,880 Speaker 4: minutes before we have to wrap up this segment. I'm 371 00:20:25,920 --> 00:20:28,160 Speaker 4: just curious for each of you, what do you think 372 00:20:28,400 --> 00:20:32,480 Speaker 4: was kind of the most important headline or narrative from 373 00:20:32,560 --> 00:20:36,280 Speaker 4: this drop of for results. And Matt, let me start 374 00:20:36,320 --> 00:20:39,600 Speaker 4: with you. I know Amazon's your jams, so maybe go 375 00:20:39,720 --> 00:20:43,560 Speaker 4: there or go anywhere there's a good spot. 376 00:20:43,600 --> 00:20:46,280 Speaker 1: I mean, it's that Amazon's got a seat at the table, 377 00:20:46,359 --> 00:20:48,879 Speaker 1: right They've got all the big models are on a 378 00:20:49,040 --> 00:20:50,880 Speaker 1: WS and so now you know, there was a first 379 00:20:50,960 --> 00:20:53,040 Speaker 1: leg of this AI competition was you know, who's going 380 00:20:53,080 --> 00:20:55,000 Speaker 1: to add the exclusive tie up? This one looks like 381 00:20:55,080 --> 00:20:57,040 Speaker 1: you can get most just about anything anywhere. So who's 382 00:20:57,040 --> 00:20:59,000 Speaker 1: got the better mouse trapping cloud? Looking forward to seeing 383 00:20:59,000 --> 00:21:00,000 Speaker 1: how that transplarers? 384 00:21:00,240 --> 00:21:02,359 Speaker 3: All right, Ron, your turn, come on in here. Just 385 00:21:02,400 --> 00:21:04,880 Speaker 3: the most important bit of info you got from any 386 00:21:04,920 --> 00:21:07,160 Speaker 3: of these companies that reported after the bell. 387 00:21:07,359 --> 00:21:09,360 Speaker 4: And you can't say, ah, yeah, I think they both. 388 00:21:11,119 --> 00:21:14,119 Speaker 7: No, they're demonstrating the runways there that this capex is 389 00:21:14,160 --> 00:21:16,800 Speaker 7: all justified, and I think we're seeing that it's having 390 00:21:16,840 --> 00:21:19,600 Speaker 7: an impact already. We're seeing that the companies that have 391 00:21:19,720 --> 00:21:23,080 Speaker 7: integrated AI to their operations are seeing cash flow margin 392 00:21:23,160 --> 00:21:26,959 Speaker 7: expansion it roughly twice the global average. So yes, it 393 00:21:27,040 --> 00:21:29,520 Speaker 7: is now making a difference. The ROI is there and 394 00:21:29,520 --> 00:21:30,760 Speaker 7: we're seeing the results. 395 00:21:31,400 --> 00:21:33,280 Speaker 4: All right, good stuff, Ron, Thank you so much. Ed, 396 00:21:33,359 --> 00:21:35,359 Speaker 4: come on in, same thing for you. I know you 397 00:21:35,520 --> 00:21:37,480 Speaker 4: kind of love all these It's hard to have a 398 00:21:37,480 --> 00:21:39,600 Speaker 4: favorite child here. But I'm just curious, as you look 399 00:21:39,640 --> 00:21:42,159 Speaker 4: at these headlines and you're thinking about your show tomorrow, 400 00:21:42,520 --> 00:21:45,400 Speaker 4: is there a narrative a headline that really just sticks 401 00:21:45,400 --> 00:21:45,720 Speaker 4: with you? 402 00:21:46,560 --> 00:21:47,320 Speaker 2: Yeah, I think you know. 403 00:21:47,560 --> 00:21:49,680 Speaker 6: Across all four and it includes Meadow, which is a 404 00:21:49,760 --> 00:21:53,680 Speaker 6: slightly different company. AI demand is running ahead of their 405 00:21:53,720 --> 00:21:57,040 Speaker 6: ability to supply. That's not a new sentence or idea. 406 00:21:57,080 --> 00:21:59,320 Speaker 6: People have been saying that for a little while, and 407 00:21:59,359 --> 00:22:02,560 Speaker 6: so across four it's interesting to see those that they 408 00:22:02,600 --> 00:22:06,040 Speaker 6: believe and those that they don't. This isn't profound selling 409 00:22:06,160 --> 00:22:09,000 Speaker 6: in Meta's case or in Amazon's case. It's not severe 410 00:22:09,080 --> 00:22:14,119 Speaker 6: buying in alphabets are either or you know. So I 411 00:22:14,160 --> 00:22:17,240 Speaker 6: think the idea is proof points, you know, like tangible 412 00:22:17,359 --> 00:22:20,320 Speaker 6: new pieces of data. Google gave many of them, and 413 00:22:20,480 --> 00:22:22,920 Speaker 6: investors have kind of cheered that. But it's about AI 414 00:22:23,000 --> 00:22:25,119 Speaker 6: in the real world, and that might sound abstract, but 415 00:22:25,160 --> 00:22:26,479 Speaker 6: that's what the market's been asking for. 416 00:22:26,600 --> 00:22:29,199 Speaker 3: Okay, well, speaking of AI and the real world, just 417 00:22:29,240 --> 00:22:32,600 Speaker 3: push us ahead to tomorrow afternoon when we hear from Apple, 418 00:22:33,119 --> 00:22:37,000 Speaker 3: Tim Cook, John Turnus. What's thirty seconds on what you 419 00:22:37,040 --> 00:22:37,840 Speaker 3: expect from Apple. 420 00:22:38,640 --> 00:22:41,360 Speaker 6: This is the first earnings and earnings call since Tim 421 00:22:41,400 --> 00:22:45,080 Speaker 6: Cook announced he's stepped down September one, and John Turnus 422 00:22:45,080 --> 00:22:48,280 Speaker 6: becomes CEO September first, and I think whatever Apple says 423 00:22:48,320 --> 00:22:52,160 Speaker 6: about handsets or software that it will just be about 424 00:22:52,160 --> 00:22:53,200 Speaker 6: those two people. 425 00:22:52,960 --> 00:22:57,480 Speaker 4: All right, unbelievable sixty minutes on here on Bloomberg Business Weekday, guys, 426 00:22:57,520 --> 00:23:00,000 Speaker 4: Thank you so much, so appreciate our own ed Ludlow, 427 00:23:00,280 --> 00:23:03,600 Speaker 4: co host of Bloomberg Tech. Catch him on TV eleven 428 00:23:03,960 --> 00:23:07,240 Speaker 4: am to twelve noon Monday through Friday, Wall Street Time, 429 00:23:07,720 --> 00:23:09,800 Speaker 4: Ron Westfall, thank you so much for all that time 430 00:23:09,880 --> 00:23:13,280 Speaker 4: Hyperframe Research, Infrastructure, Networking VP and practice leader out there 431 00:23:13,280 --> 00:23:16,480 Speaker 4: in the Twin Cities, and of course out in Seattle 432 00:23:16,560 --> 00:23:19,560 Speaker 4: watching Amazon, our own Matt Day, Bloomberg News technology reporter. 433 00:23:19,960 --> 00:23:20,800 Speaker 2: Incredible stuff.