1 00:00:00,120 --> 00:00:03,440 Speaker 1: Welcome to our Bloomberg television and radio audiences worldwide. We 2 00:00:03,480 --> 00:00:06,600 Speaker 1: are live at CES Las Vegas, and we're joined by 3 00:00:06,760 --> 00:00:11,080 Speaker 1: an executive that leads a company whose technology, frankly, touches 4 00:00:11,280 --> 00:00:14,440 Speaker 1: every single display almost that is behind us at this 5 00:00:14,560 --> 00:00:18,400 Speaker 1: two point five million net square ft exhibition, Rene Haas, 6 00:00:18,520 --> 00:00:22,279 Speaker 1: ARM CEO. Look, I still have some difficulty in explaining 7 00:00:22,280 --> 00:00:25,599 Speaker 1: to people what ARM does with respect. And this is 8 00:00:25,600 --> 00:00:28,360 Speaker 1: an interesting example because if you take many of the 9 00:00:28,400 --> 00:00:32,400 Speaker 1: TV displays that are on display here other consumer electronics, 10 00:00:32,920 --> 00:00:36,920 Speaker 1: ARM has helped design the semiconductors that are inside them. 11 00:00:37,280 --> 00:00:38,040 Speaker 2: Is that accurate? 12 00:00:38,320 --> 00:00:38,720 Speaker 3: I think so. 13 00:00:38,800 --> 00:00:42,280 Speaker 4: If you think about all these devices becoming smart devices, 14 00:00:42,320 --> 00:00:46,280 Speaker 4: whether it's a smart rumba smart washer and dryer, smart TV, 15 00:00:46,840 --> 00:00:49,200 Speaker 4: they all need a brain inside that helps them learn 16 00:00:49,280 --> 00:00:52,360 Speaker 4: what to do. That brain inside is ARM. So we 17 00:00:52,360 --> 00:00:54,200 Speaker 4: were just chatting earlier about it, Well, where is ARM 18 00:00:54,240 --> 00:00:55,120 Speaker 4: inside the show floor? 19 00:00:55,560 --> 00:00:56,480 Speaker 3: Those four examples. 20 00:00:56,520 --> 00:01:00,000 Speaker 4: I just gave you a couple washer, a dryer, digital televis, 21 00:01:00,520 --> 00:01:02,520 Speaker 4: and a roomba. I can assure you each one of 22 00:01:02,520 --> 00:01:04,959 Speaker 4: those devices, ARM is the brain that makes those go. 23 00:01:05,240 --> 00:01:08,959 Speaker 1: The common connection between everything here is AI. Whether you're 24 00:01:09,000 --> 00:01:13,360 Speaker 1: an automotive company, consumer electronics, even a beauty and healthcare company. 25 00:01:14,480 --> 00:01:16,520 Speaker 1: ARM wants to be a part of the AI story, 26 00:01:17,120 --> 00:01:19,000 Speaker 1: So let's start with that. 27 00:01:19,400 --> 00:01:19,959 Speaker 2: You know, the. 28 00:01:19,920 --> 00:01:22,119 Speaker 1: Story of twenty twenty three was the H one hundred, 29 00:01:22,640 --> 00:01:24,920 Speaker 1: a GPU that goes into a server design. The server 30 00:01:25,000 --> 00:01:28,280 Speaker 1: design goes into a data center. ARMS not quite fully 31 00:01:28,319 --> 00:01:30,120 Speaker 1: in that market yet, but it wants to be. 32 00:01:30,560 --> 00:01:33,080 Speaker 2: So give us a scorecard, and where your progress has been. 33 00:01:33,319 --> 00:01:34,920 Speaker 4: I think you have to step back and say, well, 34 00:01:34,920 --> 00:01:37,920 Speaker 4: what is AI and where is AI going. AI has 35 00:01:37,920 --> 00:01:41,960 Speaker 4: been with us today already to some level, for example, Amazon, Alexa, 36 00:01:42,280 --> 00:01:46,399 Speaker 4: Google Assistant, Ring Camera, Nest camera, things that do facial 37 00:01:46,440 --> 00:01:49,880 Speaker 4: recognition for example, in those cameras, that's AI and that's 38 00:01:49,960 --> 00:01:52,680 Speaker 4: running on ARM today. So to some level, we've already 39 00:01:52,680 --> 00:01:55,920 Speaker 4: been there. Now what's happened with CHET, GPT and these 40 00:01:56,000 --> 00:01:59,240 Speaker 4: large language models has been this next level step up 41 00:01:59,280 --> 00:02:03,400 Speaker 4: of really a level of learning and AI we've not 42 00:02:03,560 --> 00:02:05,880 Speaker 4: seen before. So a lot of that work today is 43 00:02:05,880 --> 00:02:07,880 Speaker 4: taking place in the cloud with training. And you mentioned 44 00:02:08,000 --> 00:02:11,480 Speaker 4: H one hundred. In Vidia's next generation device, the GH 45 00:02:11,800 --> 00:02:15,799 Speaker 4: two hundred is Grace Hopper. Grace is the CPU all 46 00:02:15,919 --> 00:02:17,680 Speaker 4: ARM based, Hopper is the GPU. 47 00:02:17,800 --> 00:02:20,520 Speaker 3: So even in the most advanced training workloads. You're seeing 48 00:02:20,600 --> 00:02:22,880 Speaker 3: ARM being used on device. 49 00:02:23,240 --> 00:02:26,120 Speaker 1: Cristiano am On Ofquowcom was here earlier in that seat. 50 00:02:26,280 --> 00:02:29,200 Speaker 1: We need to talk about on device. What benefit does 51 00:02:29,320 --> 00:02:33,920 Speaker 1: ARM feel from a consumer that's willing to buy a 52 00:02:33,960 --> 00:02:37,320 Speaker 1: smartphone in particular where they can locally run a large 53 00:02:37,360 --> 00:02:40,360 Speaker 1: language model or a gender to a tool powered by ITS. 54 00:02:40,560 --> 00:02:42,560 Speaker 4: I think it's still early days in terms of what 55 00:02:42,600 --> 00:02:44,560 Speaker 4: are the applications that are going to be really killer 56 00:02:44,600 --> 00:02:47,840 Speaker 4: for the smartphones. The hardware is enabled now, so you 57 00:02:47,919 --> 00:02:50,360 Speaker 4: have capability now inside the smartphone that can run these 58 00:02:50,440 --> 00:02:53,680 Speaker 4: AI algorithms. But for example, two areas that people really 59 00:02:53,680 --> 00:02:58,440 Speaker 4: care about are latency and privacy. So if you're running 60 00:02:58,520 --> 00:03:02,320 Speaker 4: some chat GPT or personal assistants such as PI by 61 00:03:02,360 --> 00:03:05,600 Speaker 4: a company called Inflection AI, every query that you enter 62 00:03:05,639 --> 00:03:08,440 Speaker 4: on your smartphone goes up into the cloud. So people 63 00:03:08,440 --> 00:03:10,520 Speaker 4: who care a lot about security of their data are 64 00:03:10,520 --> 00:03:12,960 Speaker 4: going to want to have those AI algorithms running locally 65 00:03:13,080 --> 00:03:14,800 Speaker 4: and not the least of which they'll run faster because 66 00:03:14,800 --> 00:03:15,880 Speaker 4: they're running inside your hand. 67 00:03:16,000 --> 00:03:18,280 Speaker 1: We're trying to assess what the smartphone mark is going 68 00:03:18,320 --> 00:03:20,160 Speaker 1: to look like in twenty twenty four. 69 00:03:20,200 --> 00:03:22,239 Speaker 2: It's still the main stay of your business. 70 00:03:23,280 --> 00:03:25,680 Speaker 1: But it goes to a sort of functionality level. What 71 00:03:25,800 --> 00:03:27,720 Speaker 1: do you think it is that we can put into 72 00:03:27,800 --> 00:03:31,480 Speaker 1: a smartphone or enable a smartphone to do that drives 73 00:03:31,480 --> 00:03:35,040 Speaker 1: an upgrade cycle and brings consumer enthusiasm. 74 00:03:35,520 --> 00:03:37,680 Speaker 4: I think one thing that we've seen in this last cycle, 75 00:03:37,720 --> 00:03:39,440 Speaker 4: which I think hopefully we're on the bottom of it 76 00:03:39,480 --> 00:03:40,760 Speaker 4: is now we're starting to come out of it, is 77 00:03:40,800 --> 00:03:44,720 Speaker 4: that the premium smartphones, the most expensive smartphones, have actually 78 00:03:44,760 --> 00:03:47,160 Speaker 4: done very very well. And that's because people are trying 79 00:03:47,160 --> 00:03:50,960 Speaker 4: to future proof technology and their purchases to make sure 80 00:03:50,960 --> 00:03:53,560 Speaker 4: they last a long time before the upgrade. As I said, 81 00:03:53,560 --> 00:03:55,680 Speaker 4: it's still early days on what are these devices are 82 00:03:55,680 --> 00:03:57,600 Speaker 4: really going to do in terms of running the applications. 83 00:03:57,880 --> 00:04:00,720 Speaker 4: But I think security, and I think latens and power 84 00:04:00,720 --> 00:04:03,720 Speaker 4: efficiency when you're running those algorithms are very key. 85 00:04:04,000 --> 00:04:06,840 Speaker 3: Those are three are areas that ARM is really good at. 86 00:04:06,840 --> 00:04:10,160 Speaker 1: For our Bloomberg television and radio audience worldwide. Were sat 87 00:04:10,200 --> 00:04:13,960 Speaker 1: here with ARM CEO Rene has at CS to in 88 00:04:14,000 --> 00:04:16,440 Speaker 1: some sense, it's like speed dating. Be here, right, all 89 00:04:16,480 --> 00:04:19,840 Speaker 1: of your customers and partners are here in one place. 90 00:04:20,279 --> 00:04:22,400 Speaker 2: What is it that they're wanting to talk to you about? 91 00:04:22,440 --> 00:04:24,240 Speaker 2: Right now while they've got the time with you. 92 00:04:24,640 --> 00:04:27,240 Speaker 4: Yeah, one hundred and fifty thousand plus. I'm not sure 93 00:04:27,279 --> 00:04:29,880 Speaker 4: what the exact number is. It's a huge, huge audience. 94 00:04:30,240 --> 00:04:33,039 Speaker 4: ARM is a unique player ed in that we are 95 00:04:33,360 --> 00:04:36,840 Speaker 4: in so many different ecosystems. We're in the PC ecosystem, 96 00:04:37,080 --> 00:04:42,840 Speaker 4: the automotive ecosystem, digital TV ecosystem, semiconductor ecosystem. It's one 97 00:04:42,839 --> 00:04:45,719 Speaker 4: place where everyone comes and goes, and it's a great 98 00:04:45,839 --> 00:04:48,240 Speaker 4: meeting to essentially align with what are the targets for 99 00:04:48,279 --> 00:04:50,480 Speaker 4: the year, what do we see happening now? I was 100 00:04:50,520 --> 00:04:53,039 Speaker 4: mentioning to a colleague earlier. We spend a lot of 101 00:04:53,080 --> 00:04:55,200 Speaker 4: time candidly worrying about what's going to be at CES 102 00:04:55,279 --> 00:04:58,360 Speaker 4: twenty twenty six of CES twenty twenty seven, and we're 103 00:04:58,360 --> 00:05:00,680 Speaker 4: having those discussions now with partners about what are those 104 00:05:00,720 --> 00:05:03,320 Speaker 4: enabling technologies. So, believe it or not, you'd be surprised 105 00:05:03,360 --> 00:05:05,440 Speaker 4: most of these meetings are not about what's going to 106 00:05:05,440 --> 00:05:07,000 Speaker 4: come out in six months, but about what's going to 107 00:05:07,000 --> 00:05:08,160 Speaker 4: come out three or four years. 108 00:05:08,320 --> 00:05:10,120 Speaker 1: One thing that has surprised me about ARM is my 109 00:05:10,160 --> 00:05:14,800 Speaker 1: old stumping ground, the automotive sector. You are deeper in 110 00:05:14,880 --> 00:05:18,320 Speaker 1: that than I think perhaps people realize how is that 111 00:05:18,360 --> 00:05:21,800 Speaker 1: business going and where do you Does ARM touch the 112 00:05:22,279 --> 00:05:23,200 Speaker 1: ulsomosive sector. 113 00:05:23,320 --> 00:05:25,120 Speaker 4: So the way to think of an automobile now is 114 00:05:25,200 --> 00:05:28,720 Speaker 4: essentially a high class computer, whether it's the digital cockpit 115 00:05:28,960 --> 00:05:32,080 Speaker 4: or anything around automated driving. All of that requires an 116 00:05:32,080 --> 00:05:36,000 Speaker 4: incredibly high software load. It requires a broad ecosystem again, 117 00:05:36,160 --> 00:05:38,279 Speaker 4: all things that ARM is very very good at. So 118 00:05:38,320 --> 00:05:39,960 Speaker 4: when you look around the show floor here and you 119 00:05:40,000 --> 00:05:43,680 Speaker 4: see chips from Nvidia, or chips from Qualcom, or chips 120 00:05:43,680 --> 00:05:46,800 Speaker 4: from media Tech or NXP or a Nassauce all in 121 00:05:46,880 --> 00:05:51,119 Speaker 4: the Mercedes and Audi's and BMW's, all of that runs 122 00:05:51,120 --> 00:05:53,960 Speaker 4: on ARM. I will assure you every single vehicle on 123 00:05:54,040 --> 00:05:56,839 Speaker 4: the show floor here at the show has ARM in size. 124 00:05:56,880 --> 00:05:58,000 Speaker 4: So you win in any event. 125 00:05:58,600 --> 00:05:59,440 Speaker 3: One way to look at it. 126 00:05:59,600 --> 00:06:01,559 Speaker 4: But we've done a lot of work over the years 127 00:06:01,600 --> 00:06:04,000 Speaker 4: relative the software ecosystem. I think to really put us 128 00:06:04,000 --> 00:06:06,279 Speaker 4: in a place where fundamentally it's the right choice for 129 00:06:06,320 --> 00:06:07,839 Speaker 4: consumers and designers. 130 00:06:08,120 --> 00:06:11,280 Speaker 1: I want to go back to the next goal, which 131 00:06:11,320 --> 00:06:13,240 Speaker 1: is that higher value server market. 132 00:06:13,920 --> 00:06:15,960 Speaker 2: Do you see a road where you have. 133 00:06:15,920 --> 00:06:18,920 Speaker 1: A clear picture of the percentage of that market that 134 00:06:19,000 --> 00:06:21,440 Speaker 1: you can touch compared to where you are now. 135 00:06:21,920 --> 00:06:23,560 Speaker 3: You know, we've been at this for a long time. 136 00:06:23,640 --> 00:06:25,440 Speaker 4: We started the server effort, believe it or not, in 137 00:06:25,440 --> 00:06:28,880 Speaker 4: twenty ten, and now here in twenty twenty three, we're 138 00:06:28,920 --> 00:06:31,200 Speaker 4: really starting to see significant market share. We're now in 139 00:06:31,240 --> 00:06:34,839 Speaker 4: double digits, and for me, double digit market share starts 140 00:06:34,839 --> 00:06:37,919 Speaker 4: to mean you've made a meaningful footprint. AWS, one of 141 00:06:37,920 --> 00:06:41,480 Speaker 4: our great partners announced Graviton four, fourth generation of ARM. 142 00:06:41,880 --> 00:06:44,719 Speaker 4: Microsoft just announced their own ship called Cobalt. We have 143 00:06:44,760 --> 00:06:47,680 Speaker 4: a lot of other great announcements coming up with other hyperscalers, 144 00:06:47,960 --> 00:06:50,359 Speaker 4: and one of our partners, Ampeer, of course, has chipped 145 00:06:50,360 --> 00:06:52,200 Speaker 4: with ARM, and of course I've mentioned them again. 146 00:06:52,360 --> 00:06:53,160 Speaker 3: Thank you. Nvidia. 147 00:06:53,360 --> 00:06:55,880 Speaker 4: Grace Hopper, the most advanced training chip on the planet, 148 00:06:55,920 --> 00:06:56,719 Speaker 4: uses ARM. 149 00:06:57,200 --> 00:07:01,599 Speaker 1: In your most recent earnings, some investors, I think we're 150 00:07:01,600 --> 00:07:03,719 Speaker 1: a little confused about what's happening right now in the 151 00:07:03,760 --> 00:07:06,440 Speaker 1: current period and what you said would happen for the 152 00:07:06,480 --> 00:07:08,960 Speaker 1: course of the year. What do you think it is 153 00:07:09,000 --> 00:07:11,080 Speaker 1: that those investors misunderstood? 154 00:07:11,680 --> 00:07:13,080 Speaker 4: You know, we're in a quiet period, So there's that 155 00:07:13,160 --> 00:07:15,000 Speaker 4: much I can really say about where we are in 156 00:07:15,040 --> 00:07:17,360 Speaker 4: the earning standpoint. But as I said, most of my 157 00:07:17,520 --> 00:07:19,920 Speaker 4: focus ed is on three or four years from now, 158 00:07:19,960 --> 00:07:22,720 Speaker 4: and I'm incredibly bullish about where arm is going. I 159 00:07:22,760 --> 00:07:24,400 Speaker 4: think you just have to look at the show floor 160 00:07:24,440 --> 00:07:27,440 Speaker 4: again and then layer AI on top of it and 161 00:07:27,440 --> 00:07:29,760 Speaker 4: you see where armis has an amazing opportunity going forward. 162 00:07:29,800 --> 00:07:31,320 Speaker 3: So I'm really excited about our future. 163 00:07:31,480 --> 00:07:33,000 Speaker 2: Rene Hassam, CEOs