1 00:00:00,120 --> 00:00:02,960 Speaker 1: Here's the latest and videos record search, driving others to 2 00:00:03,040 --> 00:00:06,160 Speaker 1: chase this rally, among them quoll Com, the company announcing 3 00:00:06,160 --> 00:00:08,920 Speaker 1: a series of advancements as it works to integrate AI 4 00:00:09,360 --> 00:00:13,520 Speaker 1: into computers and smartphones through its processors. Christiana AmAm, CEO 5 00:00:13,560 --> 00:00:16,079 Speaker 1: of Qualcom, joined us now from the Mobile World Congress 6 00:00:16,280 --> 00:00:18,480 Speaker 1: in Barcelona. Christiana wanted for to catch up to you 7 00:00:18,520 --> 00:00:20,600 Speaker 1: once again, sir, for the second time in twenty twenty four. 8 00:00:20,640 --> 00:00:22,720 Speaker 1: We appreciate your time, sir. I just want to talk 9 00:00:22,720 --> 00:00:25,040 Speaker 1: about where we are now and where you think this 10 00:00:25,160 --> 00:00:27,479 Speaker 1: is going. Where we are now, the focus seems to 11 00:00:27,480 --> 00:00:30,680 Speaker 1: be on large language models, big data centers and n video. 12 00:00:31,120 --> 00:00:32,879 Speaker 1: Talk to me about the next phase of this and 13 00:00:32,960 --> 00:00:34,839 Speaker 1: ultimately where you and the team fits in. 14 00:00:35,200 --> 00:00:37,040 Speaker 2: Very good. Look, we're talking to all of you. 15 00:00:38,040 --> 00:00:42,400 Speaker 3: Yes, a lot of excitement here in Mobile Congress, a 16 00:00:42,400 --> 00:00:45,760 Speaker 3: lot of new phones being launched with jen Ai. And 17 00:00:45,800 --> 00:00:47,440 Speaker 3: I think the answer to your question is we're in 18 00:00:47,520 --> 00:00:51,959 Speaker 3: the very beginning of the cycle. But like everything in computing, 19 00:00:52,040 --> 00:00:54,800 Speaker 3: you saw a lot of things starts in the data center, 20 00:00:54,880 --> 00:00:57,920 Speaker 3: starts into the cloud and then go to the distributed devices. 21 00:00:58,080 --> 00:01:00,880 Speaker 3: And I think what we have seen how happening in 22 00:01:00,920 --> 00:01:04,000 Speaker 3: the cloud for the past couple of years and accelerating 23 00:01:04,080 --> 00:01:06,840 Speaker 3: right now, we're just starting to see the beginning of 24 00:01:06,880 --> 00:01:07,440 Speaker 3: that happening. 25 00:01:07,520 --> 00:01:11,160 Speaker 2: The devices a lot of new use cases. 26 00:01:11,480 --> 00:01:16,440 Speaker 3: The JENNYI is developing on phones, on PCs, on cars, 27 00:01:16,720 --> 00:01:21,440 Speaker 3: on industrial devices, and alongside the cloud. The use cases 28 00:01:21,480 --> 00:01:26,040 Speaker 3: are a little bit different, and it could create hopefully 29 00:01:26,080 --> 00:01:29,240 Speaker 3: a new cycle that people want to buy an AIPC 30 00:01:29,480 --> 00:01:31,679 Speaker 3: an AI smartphone, and I think that's going to be 31 00:01:31,680 --> 00:01:32,440 Speaker 3: good for the industry. 32 00:01:32,520 --> 00:01:34,880 Speaker 1: Christiana, can you describe what the use case might be. 33 00:01:35,040 --> 00:01:36,960 Speaker 1: Are we still in the process of discovery. Are we 34 00:01:37,000 --> 00:01:38,880 Speaker 1: in a position where we're sitting here thinking we know 35 00:01:38,920 --> 00:01:40,920 Speaker 1: this can be big, we just don't know what it is. 36 00:01:41,520 --> 00:01:42,800 Speaker 2: Yes, No, this is good. 37 00:01:43,600 --> 00:01:46,440 Speaker 3: You know what is interesting is you're starting to see 38 00:01:46,440 --> 00:01:49,040 Speaker 3: some use cases now being available commercially. Some of the 39 00:01:49,080 --> 00:01:53,720 Speaker 3: devices they get launch. You see things like, for example, 40 00:01:53,840 --> 00:01:57,680 Speaker 3: live translation. You can call somebody and you speak in English, 41 00:01:57,760 --> 00:02:00,000 Speaker 3: they hear in a different language, they speak a different languag, 42 00:02:00,160 --> 00:02:01,960 Speaker 3: you hear back in English, and you see those Sours 43 00:02:02,000 --> 00:02:05,440 Speaker 3: and Eguage models doing translation in real time. Some interesting 44 00:02:05,440 --> 00:02:09,240 Speaker 3: thing happening on Android with Circle to Search. I was 45 00:02:09,320 --> 00:02:12,280 Speaker 3: changing photography and those some of the consumer applications. There's 46 00:02:12,320 --> 00:02:15,400 Speaker 3: a lot of other implications for productivity as well. 47 00:02:15,720 --> 00:02:18,280 Speaker 2: One of the most interesting thing and it shows the 48 00:02:18,360 --> 00:02:20,040 Speaker 2: transformation of our company. 49 00:02:20,639 --> 00:02:22,960 Speaker 3: Every year we'll come to Mobile Congress and we talk 50 00:02:23,000 --> 00:02:25,639 Speaker 3: about a new cellular modem, and yes we did that. 51 00:02:25,680 --> 00:02:28,000 Speaker 2: I think we announced the most advanced five G modem. 52 00:02:28,040 --> 00:02:30,320 Speaker 2: But the biggest announcement from welcome. 53 00:02:30,200 --> 00:02:33,440 Speaker 3: As the show was a AI hub, and that give 54 00:02:33,520 --> 00:02:36,440 Speaker 3: an idea of how fast this is evolving. We get 55 00:02:36,480 --> 00:02:40,400 Speaker 3: seventy five seventy five models. We have models from open Ai, 56 00:02:40,560 --> 00:02:43,400 Speaker 3: we have models from Metal, we have models and open 57 00:02:43,400 --> 00:02:44,079 Speaker 3: Stars where. 58 00:02:43,919 --> 00:02:49,120 Speaker 2: There's an audio video image. Those are available for developers. 59 00:02:49,480 --> 00:02:51,960 Speaker 2: They can start writing an application. 60 00:02:51,600 --> 00:02:54,240 Speaker 3: Integrate the model to the app and push to the 61 00:02:54,280 --> 00:02:59,000 Speaker 3: app store of Android and starting commercializing those things with 62 00:02:59,200 --> 00:03:01,840 Speaker 3: all of this snaptare and devices. And that's showed that 63 00:03:01,919 --> 00:03:05,120 Speaker 3: we're the beginning of something very interesting here. 64 00:03:05,280 --> 00:03:08,160 Speaker 4: You mentioned Android, you didn't mention Apple, and I'm curious 65 00:03:08,160 --> 00:03:10,120 Speaker 4: to just announce that they're getting out of electric vehicles 66 00:03:10,120 --> 00:03:13,600 Speaker 4: and they're going to invest more in artificial intelligence. Well, 67 00:03:13,639 --> 00:03:16,399 Speaker 4: app will be a competitor or a client in your 68 00:03:16,560 --> 00:03:20,760 Speaker 4: pathway to really adopt a greater AI focus. In your chips. 69 00:03:21,120 --> 00:03:24,679 Speaker 3: Look, we have a relationship of Apple, We're very proud 70 00:03:24,720 --> 00:03:27,960 Speaker 3: of it. We provide modems to sellular modems to iPhones, 71 00:03:28,440 --> 00:03:29,640 Speaker 3: but we don't have. 72 00:03:29,480 --> 00:03:31,760 Speaker 2: A relationship with Apple on the processor. They have their 73 00:03:31,760 --> 00:03:32,480 Speaker 2: own processors. 74 00:03:32,560 --> 00:03:34,800 Speaker 3: We really support the Android systems if you look at 75 00:03:34,840 --> 00:03:38,119 Speaker 3: all they enjoy devices in America at the premier tier 76 00:03:38,240 --> 00:03:42,680 Speaker 3: support by WelCom Snapdragon, and we have been working with 77 00:03:42,840 --> 00:03:45,560 Speaker 3: Google and all of our partners and many many other 78 00:03:45,640 --> 00:03:48,800 Speaker 3: companies like Meta and Microsoft. 79 00:03:48,320 --> 00:03:52,080 Speaker 2: With the Copilot and others. They're providing some of those capabilities. 80 00:03:52,440 --> 00:03:55,520 Speaker 3: I think this is transforming the industry and we want 81 00:03:55,560 --> 00:03:56,520 Speaker 3: everybody to join. 82 00:03:56,600 --> 00:03:58,760 Speaker 2: I think more companies to join. I think more that 83 00:03:58,840 --> 00:04:01,000 Speaker 2: we're going to see this transition to an. 84 00:04:00,960 --> 00:04:03,800 Speaker 3: AI phone and it's really going to change how we 85 00:04:03,880 --> 00:04:05,720 Speaker 3: think about utilizing our smartphones. 86 00:04:05,880 --> 00:04:08,240 Speaker 4: Christ you know, there's a question about the barrier to entry, 87 00:04:08,440 --> 00:04:11,120 Speaker 4: especially with Nvidia, and how long they can continue to 88 00:04:11,160 --> 00:04:14,320 Speaker 4: have these profit margins. Understanding that this is a different 89 00:04:14,440 --> 00:04:18,479 Speaker 4: type of AI technology, how high is the bar for 90 00:04:18,560 --> 00:04:21,880 Speaker 4: sort of a barrier to entry to really be competitive 91 00:04:21,880 --> 00:04:23,200 Speaker 4: in the space and dominate. 92 00:04:23,760 --> 00:04:27,000 Speaker 3: Look, a lot of respects for what Vida is doing. 93 00:04:27,080 --> 00:04:29,080 Speaker 3: If I look at NVIDA evaluation. I think it just 94 00:04:29,120 --> 00:04:32,960 Speaker 3: provide an inspiration and tell other semiconductor. 95 00:04:32,240 --> 00:04:35,760 Speaker 2: Companies, like Welcome, what's possible. The exciting thing is what 96 00:04:35,920 --> 00:04:38,000 Speaker 2: in the VIDA is doing in the data center. When 97 00:04:38,000 --> 00:04:40,120 Speaker 2: you started to run inference. 98 00:04:39,720 --> 00:04:44,920 Speaker 3: At the edge, for example, into your phone, into your computer, 99 00:04:45,200 --> 00:04:48,360 Speaker 3: into your car, you need a different type of platform. 100 00:04:48,440 --> 00:04:50,440 Speaker 2: That's the platform that is in the data center. 101 00:04:50,480 --> 00:04:52,240 Speaker 3: You need a platform that they can do this all 102 00:04:52,279 --> 00:04:55,360 Speaker 3: the time in a very efficient way. And that's that's 103 00:04:55,400 --> 00:04:59,400 Speaker 3: the Welcome expertise all of the battery power devices. That 104 00:04:59,600 --> 00:05:03,920 Speaker 3: is the area that we always had the best computing platform. 105 00:05:04,240 --> 00:05:07,600 Speaker 3: So it creates an opportunity for us to replicate that 106 00:05:07,720 --> 00:05:10,000 Speaker 3: model of AI growth in the edge. And I think 107 00:05:10,040 --> 00:05:13,120 Speaker 3: the AI hub that you saw with all of the 108 00:05:13,200 --> 00:05:15,440 Speaker 3: models on the quoker platform and a lot of developers 109 00:05:15,480 --> 00:05:19,640 Speaker 3: gravitating to it, it's a great starting point. So we're 110 00:05:19,680 --> 00:05:22,320 Speaker 3: excited about that, and it's an opportunity for all the 111 00:05:22,360 --> 00:05:25,680 Speaker 3: semiconductor companies or advanced processor to grow with AI. 112 00:05:26,000 --> 00:05:28,120 Speaker 4: Well, how much is your new AI hub just a 113 00:05:28,240 --> 00:05:30,479 Speaker 4: replication though of the video's Kuda? 114 00:05:30,920 --> 00:05:34,039 Speaker 3: It was interesting, it's different, But I think some of 115 00:05:34,080 --> 00:05:37,400 Speaker 3: the press articles actually said they quotom ai hub. 116 00:05:37,560 --> 00:05:40,400 Speaker 2: They even refer to that's the Kuda for the edge. 117 00:05:40,720 --> 00:05:43,320 Speaker 3: So I hope they're right that's going that That would 118 00:05:43,320 --> 00:05:44,440 Speaker 3: be great to be in that position. 119 00:05:44,560 --> 00:05:46,279 Speaker 1: And this is a conversation about the future. Let's have 120 00:05:46,320 --> 00:05:48,640 Speaker 1: a bit of a conversation about where we are right now. 121 00:05:48,760 --> 00:05:51,360 Speaker 1: Can you talk to us about how healthy smartphone demand 122 00:05:51,400 --> 00:05:53,719 Speaker 1: is at the moment and whether the developments that we've 123 00:05:53,760 --> 00:05:57,280 Speaker 1: just discussed can influence influence upgrade cycles as soon as 124 00:05:57,320 --> 00:05:57,640 Speaker 1: this year. 125 00:05:58,120 --> 00:06:01,720 Speaker 3: Look that is that's a very important question, and I 126 00:06:02,760 --> 00:06:06,320 Speaker 3: can tell how we're thinking about it. We're working very 127 00:06:06,320 --> 00:06:09,800 Speaker 3: hard on technology to create that where smartphone this right now, 128 00:06:09,839 --> 00:06:13,400 Speaker 3: it's table I think smartphones head suffware. I think in 129 00:06:13,440 --> 00:06:16,680 Speaker 3: twenty twenty three due to the macro economics, I think 130 00:06:16,880 --> 00:06:19,640 Speaker 3: you know, people postpone by a new device, get a 131 00:06:19,720 --> 00:06:22,840 Speaker 3: mature market. However, we have seen in the beginning of 132 00:06:22,839 --> 00:06:27,200 Speaker 3: this year that the market has stabilized and while we 133 00:06:27,279 --> 00:06:32,240 Speaker 3: cannot predict when is the next cycle, what I can 134 00:06:32,320 --> 00:06:36,200 Speaker 3: tell you right now with precision is AI is changing. 135 00:06:35,839 --> 00:06:37,880 Speaker 2: How we interact in how we use. 136 00:06:37,720 --> 00:06:41,000 Speaker 3: Our phones, and if eventually, if consumers field that they 137 00:06:41,040 --> 00:06:44,360 Speaker 3: need to have an aiphone, that will create this new 138 00:06:44,440 --> 00:06:46,680 Speaker 3: growth momentum for the industry. 139 00:06:46,760 --> 00:06:50,160 Speaker 2: We just can really precise the timing. But we're busy 140 00:06:50,279 --> 00:06:51,040 Speaker 2: making sure. 141 00:06:50,880 --> 00:06:54,000 Speaker 3: Developers can access the platform and develop on those incredible 142 00:06:54,000 --> 00:06:54,719 Speaker 3: new use cases. 143 00:06:54,720 --> 00:06:57,280 Speaker 1: I'm sure delicate questions, sir. Just to wrap up, it 144 00:06:57,320 --> 00:06:59,040 Speaker 1: wasn't just macro, as you know, it was also geo 145 00:06:59,080 --> 00:07:02,719 Speaker 1: politics for the like of Apple clearly struggling with a 146 00:07:02,760 --> 00:07:05,159 Speaker 1: return of a little bit of nationalism in China and 147 00:07:05,200 --> 00:07:07,800 Speaker 1: some competition as well there too. Do you think you 148 00:07:07,880 --> 00:07:10,280 Speaker 1: have to pick a country to be in right now, 149 00:07:10,440 --> 00:07:12,320 Speaker 1: China or the United States? Or do you think it's 150 00:07:12,320 --> 00:07:14,880 Speaker 1: sustainable to say we can be in both markets. 151 00:07:15,360 --> 00:07:17,160 Speaker 3: Look, we'll get this question all the time, I think 152 00:07:17,200 --> 00:07:19,160 Speaker 3: because of the geopolitics. 153 00:07:18,800 --> 00:07:20,360 Speaker 2: Here's here's the simple answer. 154 00:07:21,040 --> 00:07:24,120 Speaker 3: If you are a semi conductor company and you have 155 00:07:24,560 --> 00:07:27,480 Speaker 3: a leadership position, if you have a leadership position, your 156 00:07:27,520 --> 00:07:31,240 Speaker 3: product is highly differentiated. You're not in the commodity business. Uh. 157 00:07:31,640 --> 00:07:33,280 Speaker 2: Not only you're going to have a big business in 158 00:07:33,280 --> 00:07:35,200 Speaker 2: the United States. You're gonna have a big business in Europe. 159 00:07:35,280 --> 00:07:36,840 Speaker 2: You're going to have a big business in China. It's 160 00:07:36,840 --> 00:07:37,880 Speaker 2: just a function of GDP. 161 00:07:38,480 --> 00:07:43,360 Speaker 3: So as as the company has diversified and went into phones, 162 00:07:43,400 --> 00:07:49,040 Speaker 3: into PCs, into automotive. We also saw that expanding our 163 00:07:49,200 --> 00:07:53,040 Speaker 3: China business as well. We have now a strong position 164 00:07:53,120 --> 00:07:55,880 Speaker 3: with the China EV market. So in one way, I 165 00:07:55,920 --> 00:08:00,240 Speaker 3: think that that has we have seen our business grow 166 00:08:00,280 --> 00:08:03,920 Speaker 3: in China regardless of geopolitics and have everything to do 167 00:08:04,080 --> 00:08:05,520 Speaker 3: about having a leadership position. 168 00:08:06,040 --> 00:08:08,920 Speaker 1: Let's pick up this conversation closer to November if we can. 169 00:08:09,280 --> 00:08:12,080 Speaker 1: Christiana appreciate it. I've got to go to the commercial pray. 170 00:08:12,120 --> 00:08:13,920 Speaker 1: Thanks for being with us, Christiana, my mom, dad, the 171 00:08:13,960 --> 00:08:17,640 Speaker 1: Quoll com CEO from New York City this morning. Good morning, 172 00:08:17,760 --> 00:08:18,520 Speaker 1: this is Bloomberg