1 00:00:00,200 --> 00:00:03,480 Speaker 1: ARM shares more than fifty percent higher. The bullish outlook 2 00:00:03,520 --> 00:00:05,920 Speaker 1: is something we can now discuss with the CEO, Renee 3 00:00:06,000 --> 00:00:09,200 Speaker 1: has joining us, and Renee you must feel vindication. You 4 00:00:09,240 --> 00:00:11,760 Speaker 1: are trying to tell this story at the IPO and 5 00:00:11,800 --> 00:00:12,559 Speaker 1: boom you deliver. 6 00:00:14,400 --> 00:00:17,520 Speaker 2: Well, thank you, Carolyn. Yes, we're really happy with the 7 00:00:17,520 --> 00:00:22,560 Speaker 2: results that we posted. Additionally, very very good feelings about 8 00:00:22,560 --> 00:00:26,000 Speaker 2: the forecast going forward. But as you said, this is 9 00:00:26,040 --> 00:00:28,080 Speaker 2: really the results of strategies that were put in place 10 00:00:28,120 --> 00:00:30,080 Speaker 2: and number of years ago that are now just really 11 00:00:30,080 --> 00:00:31,120 Speaker 2: starting to come to fruition. 12 00:00:31,760 --> 00:00:35,000 Speaker 1: Yeah, when we think about the vindication, when we think 13 00:00:35,040 --> 00:00:39,640 Speaker 1: though still about basically more of your technology going into 14 00:00:39,720 --> 00:00:42,760 Speaker 1: more types of equipment. You managed to see a diversification 15 00:00:42,880 --> 00:00:46,240 Speaker 1: out of phones. Paint us the strategy of ARM going forwards, 16 00:00:46,240 --> 00:00:49,120 Speaker 1: because many would say, actually, you're not just well the 17 00:00:49,159 --> 00:00:52,279 Speaker 1: overall designer of chips, you're basically making the chips. You're 18 00:00:52,320 --> 00:00:54,800 Speaker 1: fabulous in some way. Is how do you see that 19 00:00:54,880 --> 00:00:58,680 Speaker 1: relationship going forward with Qualcom, for example, Well, a lot 20 00:00:58,720 --> 00:00:59,560 Speaker 1: of folks. 21 00:00:59,240 --> 00:01:01,760 Speaker 2: You know, as you said, didn't really understand the company 22 00:01:01,760 --> 00:01:04,000 Speaker 2: well and where we fit. And obviously we had a 23 00:01:04,040 --> 00:01:07,760 Speaker 2: lot of growth attached with smartphone market. But ARM is 24 00:01:07,800 --> 00:01:09,919 Speaker 2: in a lot of devices that people may not naturally 25 00:01:10,000 --> 00:01:12,440 Speaker 2: think about. We're in a Tesla vehicle, We're in a 26 00:01:12,480 --> 00:01:15,880 Speaker 2: Ford f one fifty, We're in a Ring smart camera, 27 00:01:16,360 --> 00:01:19,880 Speaker 2: We're in the Samsung TV, a Samsung smart appliance. So 28 00:01:20,360 --> 00:01:23,679 Speaker 2: just about every device you can think of has ARM inside, 29 00:01:23,920 --> 00:01:26,199 Speaker 2: and just about every device you can think of needs 30 00:01:26,240 --> 00:01:29,720 Speaker 2: more and more compute, particularly as AI is now driving 31 00:01:29,760 --> 00:01:30,959 Speaker 2: a whole new demand cycle. 32 00:01:31,440 --> 00:01:33,800 Speaker 1: Talk to us about AI. Jeffrey is really singling that 33 00:01:33,880 --> 00:01:36,319 Speaker 1: out the analyst. They're saying that this really shows your 34 00:01:36,360 --> 00:01:39,880 Speaker 1: beneficiary from AI. But where does the AI focus come You, 35 00:01:39,959 --> 00:01:42,680 Speaker 1: of course were in video before. They are all about 36 00:01:42,720 --> 00:01:46,160 Speaker 1: AI accelerators, and I'm interested as to whether or not 37 00:01:46,200 --> 00:01:48,040 Speaker 1: that would be an area that you get into other 38 00:01:48,120 --> 00:01:48,720 Speaker 1: than servers. 39 00:01:49,800 --> 00:01:52,240 Speaker 2: Well, right now, in video is a great partner their 40 00:01:52,320 --> 00:01:55,600 Speaker 2: Gracehopper chip, a super chip uses a lot of ARM 41 00:01:55,720 --> 00:01:58,920 Speaker 2: CPUs in combination with their GPU, which is a really 42 00:01:58,960 --> 00:02:02,080 Speaker 2: really great solution for high end AI training in the 43 00:02:02,120 --> 00:02:05,080 Speaker 2: data center as well as inference. But when you start 44 00:02:05,080 --> 00:02:09,080 Speaker 2: moving to smaller devices, say smartphones or PCs, well AI 45 00:02:09,240 --> 00:02:11,000 Speaker 2: is going to run there too. If you look at 46 00:02:11,000 --> 00:02:14,800 Speaker 2: some of the recent announcements by Samsung and Google relative 47 00:02:14,800 --> 00:02:17,400 Speaker 2: to their smartphones. There's a lot of things such as 48 00:02:17,400 --> 00:02:20,040 Speaker 2: circling and image on a browser and then having that 49 00:02:20,080 --> 00:02:22,960 Speaker 2: browser go off and do search based on the circle. 50 00:02:23,400 --> 00:02:26,400 Speaker 2: That's AI that's actually running in a smartphone. And what 51 00:02:26,440 --> 00:02:29,839 Speaker 2: we're seeing is really a drive for more and more 52 00:02:29,880 --> 00:02:33,880 Speaker 2: compute capacity to run these AI algorithms, some that people 53 00:02:33,880 --> 00:02:36,600 Speaker 2: don't even know what they are yet. But what designers 54 00:02:36,639 --> 00:02:38,640 Speaker 2: want to do and need to do is future proof 55 00:02:38,639 --> 00:02:41,680 Speaker 2: their designs was more and more compute and that is 56 00:02:41,720 --> 00:02:45,040 Speaker 2: really driving a strong licensing cycle force in terms of 57 00:02:45,080 --> 00:02:47,360 Speaker 2: more demand RENEE. 58 00:02:47,400 --> 00:02:49,680 Speaker 3: We've been at Pains to kind of help the audience 59 00:02:49,760 --> 00:02:52,760 Speaker 3: explain how your business works. You know, the royalty side, 60 00:02:53,040 --> 00:02:55,480 Speaker 3: I call it the building blocks of chip design, and 61 00:02:55,480 --> 00:03:00,160 Speaker 3: then the licensing side managing the interaction between the the 62 00:03:00,240 --> 00:03:02,560 Speaker 3: line design of the chip and the software it's intended 63 00:03:02,680 --> 00:03:05,400 Speaker 3: to interact with. And what you said to the street 64 00:03:05,520 --> 00:03:09,400 Speaker 3: is smartphone isn't everything anymore. It's a third of our business, 65 00:03:09,480 --> 00:03:14,120 Speaker 3: but somehow you're also boosting the royalties that are coming 66 00:03:14,120 --> 00:03:17,240 Speaker 3: in on that business. Just explain how that dynamic is working. 67 00:03:17,520 --> 00:03:21,120 Speaker 3: Smaller proportion of overall, but you're basically making more money 68 00:03:21,360 --> 00:03:21,920 Speaker 3: per deal. 69 00:03:23,400 --> 00:03:25,200 Speaker 2: We've got two things kind of going on in the 70 00:03:25,200 --> 00:03:29,560 Speaker 2: smartphone market. One is we've moved to a higher version 71 00:03:29,560 --> 00:03:31,920 Speaker 2: of our process or what we call version nine, and 72 00:03:31,960 --> 00:03:35,400 Speaker 2: the royalties associated with version nine are roughly double than 73 00:03:35,440 --> 00:03:39,200 Speaker 2: that of version eight, and that's growing. Last quarter, about 74 00:03:39,240 --> 00:03:42,480 Speaker 2: ten percent of our royalties came from version eight. Now 75 00:03:42,480 --> 00:03:45,040 Speaker 2: it's version nine is about fifteen percent and growing. 76 00:03:45,400 --> 00:03:46,720 Speaker 4: So that's happening. 77 00:03:47,160 --> 00:03:51,720 Speaker 2: But secondarily, people are putting more V nine in their smartphones. 78 00:03:51,040 --> 00:03:51,920 Speaker 4: And they put V eight. 79 00:03:52,840 --> 00:03:55,960 Speaker 2: What does that mean, Well, it means more processors to 80 00:03:56,040 --> 00:03:58,880 Speaker 2: handle these complex tasks such as AI. So what you 81 00:03:58,920 --> 00:04:02,160 Speaker 2: have is a compounding effect. Increase rates from the new version, 82 00:04:02,640 --> 00:04:05,000 Speaker 2: but more and more compute because more and more computes 83 00:04:05,080 --> 00:04:08,280 Speaker 2: needed to run these complex devices. So it's having a 84 00:04:08,360 --> 00:04:11,080 Speaker 2: real growth effect for us. 85 00:04:11,080 --> 00:04:14,920 Speaker 3: Renee, what happened in China was a surprise. How long 86 00:04:14,960 --> 00:04:16,040 Speaker 3: does that continue for. 87 00:04:17,839 --> 00:04:20,279 Speaker 2: You know, China follows the rest of the world for us, 88 00:04:20,320 --> 00:04:23,200 Speaker 2: said in the sense that where we're very strong in 89 00:04:23,200 --> 00:04:26,960 Speaker 2: the rest of the world visa v data centers or evs. 90 00:04:26,720 --> 00:04:27,560 Speaker 4: China follows that. 91 00:04:27,680 --> 00:04:30,240 Speaker 2: And the reason is that the software ecosystem, which is 92 00:04:30,279 --> 00:04:35,200 Speaker 2: global that is really predominantly ARM based. China partners want 93 00:04:35,240 --> 00:04:37,400 Speaker 2: to leverage that. And one thing that China is very 94 00:04:37,440 --> 00:04:39,640 Speaker 2: unique about is speed. They want to go as fast 95 00:04:39,640 --> 00:04:43,440 Speaker 2: as possible, develop products as quickly as possible. Well, the 96 00:04:43,560 --> 00:04:46,440 Speaker 2: software base allows them to develop products very quickly as 97 00:04:46,480 --> 00:04:49,320 Speaker 2: the market of the dot So you know, there's been 98 00:04:49,320 --> 00:04:51,240 Speaker 2: a lot written about China headwinds in the market, etc. 99 00:04:51,400 --> 00:04:53,920 Speaker 4: Etc. But for us, China has been a great market. 100 00:04:55,920 --> 00:05:00,200 Speaker 3: Overnight, Rene soft Bank, which hold ninety percent of your company, 101 00:05:00,520 --> 00:05:02,240 Speaker 3: said that they're going to put you at the center 102 00:05:02,279 --> 00:05:05,960 Speaker 3: of their AI strategy. How much say are you going 103 00:05:06,000 --> 00:05:09,159 Speaker 3: to have in that? If SoftBank is kind of dictating 104 00:05:09,200 --> 00:05:15,080 Speaker 3: how they see your role in the playout of AI infrastructure, well, I. 105 00:05:15,040 --> 00:05:16,400 Speaker 4: Can speak from kind of two hats. 106 00:05:16,640 --> 00:05:19,040 Speaker 2: One is as the CEO of ARM and the other 107 00:05:19,360 --> 00:05:20,839 Speaker 2: as a soft failing board member. 108 00:05:20,920 --> 00:05:23,680 Speaker 4: I'll speak to the former primarily. Here. 109 00:05:24,839 --> 00:05:30,120 Speaker 2: We believe that AI is the most profound opportunity in 110 00:05:30,160 --> 00:05:33,599 Speaker 2: our lifetimes and we are only at the beginning. When 111 00:05:33,600 --> 00:05:37,200 Speaker 2: you think about artificial general intelligence and what is required 112 00:05:37,279 --> 00:05:41,840 Speaker 2: to make that happen in terms of compute, power, efficiency, energy, 113 00:05:42,320 --> 00:05:44,719 Speaker 2: those are all great areas for us to be involved 114 00:05:44,760 --> 00:05:48,320 Speaker 2: and focusing in so I think AI is not in. 115 00:05:48,240 --> 00:05:49,839 Speaker 4: Any way, shape or form a heighth cycle. 116 00:05:50,160 --> 00:05:52,200 Speaker 2: I think we're in incredibly early days and I think 117 00:05:52,200 --> 00:05:54,760 Speaker 2: it's going to have amazing impact on our planet. 118 00:05:56,279 --> 00:05:58,280 Speaker 1: I mean extraordinary. We're still just looking at your share 119 00:05:58,279 --> 00:06:00,800 Speaker 1: price now rocketing up to about sixty on the day, 120 00:06:00,880 --> 00:06:03,159 Speaker 1: up more than seventy percent over the last five days. 121 00:06:03,760 --> 00:06:06,360 Speaker 1: Are there any areas of concern for you? You were 122 00:06:06,360 --> 00:06:08,839 Speaker 1: just talking about the macro picture, for example, being in 123 00:06:08,920 --> 00:06:12,000 Speaker 1: China that actually has played to your strengths, even though 124 00:06:12,160 --> 00:06:14,400 Speaker 1: the rest of the economy we slightly worry about. China 125 00:06:14,480 --> 00:06:17,760 Speaker 1: still a bright spot. What about geopolitics? What about the 126 00:06:17,880 --> 00:06:20,400 Speaker 1: international role that you have as ARM. 127 00:06:20,920 --> 00:06:22,440 Speaker 4: Yeah, it's a great question, you know. 128 00:06:22,480 --> 00:06:26,960 Speaker 2: I think for CEOs, particularly now in the semi natural world, 129 00:06:27,480 --> 00:06:31,240 Speaker 2: the geopolitics, government relations, things of the nature. Five ten 130 00:06:31,320 --> 00:06:33,479 Speaker 2: years ago, that wasn't something that we had to worry 131 00:06:33,520 --> 00:06:36,240 Speaker 2: about a lot. Now it's obviously front and center in 132 00:06:36,320 --> 00:06:39,560 Speaker 2: terms of how we think about the world. I think 133 00:06:39,600 --> 00:06:43,080 Speaker 2: for ARM, I don't know that our issues are concerns 134 00:06:43,120 --> 00:06:45,880 Speaker 2: there are any different than my peer group faces we 135 00:06:45,960 --> 00:06:48,440 Speaker 2: all share globally. We think the world is a better 136 00:06:48,480 --> 00:06:51,800 Speaker 2: place when it's an easier global ecosystem, but we're also 137 00:06:51,839 --> 00:06:54,040 Speaker 2: mindful that we are in very different times than we 138 00:06:54,040 --> 00:06:55,080 Speaker 2: were five ten years ago. 139 00:06:56,240 --> 00:06:59,240 Speaker 3: Renee a question from our audience on social media for you, 140 00:06:59,640 --> 00:07:03,320 Speaker 3: will we start doing business directly with the software ecosystem 141 00:07:03,400 --> 00:07:07,480 Speaker 3: in the context of AI edge computing. That's what they 142 00:07:07,520 --> 00:07:07,920 Speaker 3: want to know. 143 00:07:09,200 --> 00:07:12,240 Speaker 2: We do a lot of business with the software ecosystem 144 00:07:12,280 --> 00:07:15,000 Speaker 2: in the sense of that they're incredibly strong partners to us. 145 00:07:15,600 --> 00:07:18,120 Speaker 2: When you think about Android as a software ecosystem, when 146 00:07:18,160 --> 00:07:20,800 Speaker 2: you think about Windows, when you think about everything going 147 00:07:20,840 --> 00:07:23,840 Speaker 2: on with open source software, that is something we are 148 00:07:23,880 --> 00:07:28,400 Speaker 2: incredibly involved in, particularly from a technology side, because at 149 00:07:28,400 --> 00:07:32,080 Speaker 2: the end of the day, what makes arms so pervasive, 150 00:07:32,480 --> 00:07:36,080 Speaker 2: it's a software ecosystem like no other. So software is 151 00:07:36,120 --> 00:07:37,800 Speaker 2: front and center of what we think about in terms 152 00:07:37,840 --> 00:07:39,360 Speaker 2: of all of our engineering engagements. 153 00:07:40,800 --> 00:07:43,800 Speaker 3: I'm CEO Rene has stock Storing. Great to have some 154 00:07:43,840 --> 00:07:45,080 Speaker 3: time with you. Thank you so much.