1 00:00:00,160 --> 00:00:03,960 Speaker 1: China will be at the forefront of artificial intelligence. That's 2 00:00:03,960 --> 00:00:06,560 Speaker 1: what the CEO of Alphabet, sun Dar Pashai is saying. 3 00:00:06,600 --> 00:00:09,320 Speaker 1: He says it is important for the US to collaborate 4 00:00:09,440 --> 00:00:13,360 Speaker 1: with China on both regulation and innovation when it comes 5 00:00:13,440 --> 00:00:17,599 Speaker 1: to AI. Pishai, along with executives from Microsoft, City Group 6 00:00:17,640 --> 00:00:20,680 Speaker 1: and Tesla, have been meeting with Chinese President Shi Jinping 7 00:00:20,840 --> 00:00:23,840 Speaker 1: and US President Joe Biden at the APEX summit in 8 00:00:23,880 --> 00:00:28,960 Speaker 1: San Francisco. After those meetings, the Alphabet CEO joined Bloomberg's 9 00:00:28,960 --> 00:00:31,960 Speaker 1: Emily Chang and told her the world's two biggest economies 10 00:00:32,000 --> 00:00:35,920 Speaker 1: do need to work together on AI regulation and development. 11 00:00:36,320 --> 00:00:39,760 Speaker 2: So you've got the presidents of the two biggest economies 12 00:00:39,800 --> 00:00:42,400 Speaker 2: in the world right here in big tech's backyard, and 13 00:00:42,600 --> 00:00:46,400 Speaker 2: everybody has questions about AI. How much do you think 14 00:00:46,440 --> 00:00:49,560 Speaker 2: AI is going to drive economic growth in the Asia 15 00:00:49,600 --> 00:00:52,479 Speaker 2: Pacific region and really the world, let's say, over the 16 00:00:52,520 --> 00:00:53,280 Speaker 2: next decade. 17 00:00:53,479 --> 00:00:56,000 Speaker 3: That's a big question. It's a good, good warmer, I 18 00:00:56,040 --> 00:01:02,960 Speaker 3: think obviously rightfully, I think the excitement around AI is 19 00:01:03,960 --> 00:01:07,800 Speaker 3: well founded. I'm glad it's a big topic. Let me 20 00:01:07,840 --> 00:01:10,760 Speaker 3: start with the Asia Pacific question. One of the things 21 00:01:10,800 --> 00:01:14,880 Speaker 3: that excites me is if you're in a region unlike 22 00:01:14,920 --> 00:01:19,560 Speaker 3: the past technologies take the PC revolution, yet in some 23 00:01:19,600 --> 00:01:23,640 Speaker 3: ways play catch up. Mobile was the first transition. I 24 00:01:23,680 --> 00:01:26,520 Speaker 3: think in Asia, you know, you almost code developed it. 25 00:01:27,200 --> 00:01:29,880 Speaker 3: I look at an Android, It wouldn't have happened without 26 00:01:29,920 --> 00:01:32,120 Speaker 3: all the work we did in Asia, our partners in 27 00:01:32,160 --> 00:01:36,319 Speaker 3: Asia wed Samsung or HDC in Taiwan and so on. 28 00:01:37,120 --> 00:01:40,040 Speaker 3: But I think you started leapfrogging and you don't need 29 00:01:40,080 --> 00:01:43,720 Speaker 3: to play catch up with legacy. I think AI takes 30 00:01:43,760 --> 00:01:46,320 Speaker 3: it the next step further. I think it's the first technology. 31 00:01:47,319 --> 00:01:50,400 Speaker 3: I think you're all in a real position to be 32 00:01:51,040 --> 00:01:53,880 Speaker 3: right there from the start, and I have a seat 33 00:01:53,880 --> 00:01:57,320 Speaker 3: as this technology develops. So I think that has profound implications. 34 00:01:58,880 --> 00:02:02,600 Speaker 3: You know, you all can be as AI natives as 35 00:02:02,640 --> 00:02:04,920 Speaker 3: what's happening in the US and so on. So I 36 00:02:04,960 --> 00:02:07,280 Speaker 3: think in that way, you know it's going to have 37 00:02:07,320 --> 00:02:10,440 Speaker 3: a big impact. I think the way you do that though, 38 00:02:10,560 --> 00:02:15,200 Speaker 3: is by as you know, APEC countries. I would say, 39 00:02:15,240 --> 00:02:18,320 Speaker 3: you have to have a pro innovation mindset, you have 40 00:02:18,360 --> 00:02:21,080 Speaker 3: to embrace it at the start, make sure you have 41 00:02:21,120 --> 00:02:24,560 Speaker 3: the right infrastructure in the country to facilitate AI innovation. 42 00:02:25,560 --> 00:02:28,600 Speaker 3: You're thinking about the right balance regulation both from an 43 00:02:28,600 --> 00:02:32,799 Speaker 3: innovation and safety standpoint, and then as government, maybe lead 44 00:02:32,880 --> 00:02:35,839 Speaker 3: the way. What are the projects you can visibly do. 45 00:02:36,520 --> 00:02:40,640 Speaker 3: How do you use AI to digitize services and serve 46 00:02:40,720 --> 00:02:43,360 Speaker 3: your citizens better? I think if you lead the way 47 00:02:43,880 --> 00:02:46,000 Speaker 3: and then invest in skilling ets, I think there's a 48 00:02:46,040 --> 00:02:48,400 Speaker 3: real chance. So I think it could be more exciting. 49 00:02:48,760 --> 00:02:52,080 Speaker 2: India, your native country, is now the most populous country 50 00:02:52,120 --> 00:02:55,240 Speaker 2: in the world. Do you see AI as a massive 51 00:02:55,360 --> 00:02:58,400 Speaker 2: opportunity for India or could it lead to a massive 52 00:02:58,440 --> 00:03:03,320 Speaker 2: dislocation given the number of lower level coding customer services 53 00:03:03,480 --> 00:03:04,520 Speaker 2: jobs space there. 54 00:03:05,680 --> 00:03:07,800 Speaker 3: I do think it's going to be a massive opportunity, 55 00:03:08,560 --> 00:03:13,560 Speaker 3: you know, across India has India has to make progress 56 00:03:13,560 --> 00:03:17,720 Speaker 3: on many many fundamental areas right, be it healthcare, agriculture, 57 00:03:17,880 --> 00:03:21,960 Speaker 3: food security, climate change, and so on. So an AI 58 00:03:22,120 --> 00:03:24,640 Speaker 3: is going to help us make progress. So it is 59 00:03:24,639 --> 00:03:27,960 Speaker 3: a big opportunity. I think even on the labor market, 60 00:03:28,320 --> 00:03:31,519 Speaker 3: you know a few things. I would say there's a 61 00:03:31,520 --> 00:03:34,480 Speaker 3: study from a mighty economist, David Order, that if you 62 00:03:34,520 --> 00:03:37,800 Speaker 3: look at today, a vast majority of jobs that exist 63 00:03:37,880 --> 00:03:41,800 Speaker 3: today are in new specialties or categories that have come 64 00:03:41,840 --> 00:03:45,600 Speaker 3: about since nineteen forty. So in some ways this can 65 00:03:45,640 --> 00:03:47,560 Speaker 3: be counterint you do. Over the last twenty years, we've 66 00:03:47,560 --> 00:03:51,120 Speaker 3: all worried about automation, and you know, it hasn't quite 67 00:03:51,240 --> 00:03:54,280 Speaker 3: played out the way we have predicted it. Having said that, 68 00:03:54,320 --> 00:03:57,240 Speaker 3: I think your question is important. I think for many 69 00:03:57,360 --> 00:03:59,600 Speaker 3: jobs it also has an opportunity to play it out 70 00:03:59,640 --> 00:04:02,200 Speaker 3: in a month. Whuch better way it make the jobs 71 00:04:02,280 --> 00:04:05,560 Speaker 3: easier to do. Like you know, if you can imagine, 72 00:04:05,560 --> 00:04:10,280 Speaker 3: how do you have radiologists to cover India's breadth of population, 73 00:04:11,000 --> 00:04:15,040 Speaker 3: AI can actually help expand access. But finally, there are 74 00:04:15,080 --> 00:04:17,960 Speaker 3: a category of jobs where there will be a shift, 75 00:04:18,320 --> 00:04:21,440 Speaker 3: and I think that's where the only way to make progress. 76 00:04:21,480 --> 00:04:23,920 Speaker 3: No one can do it alone. You have to invest 77 00:04:23,960 --> 00:04:28,080 Speaker 3: in the hard work of skilling and workforce transition. It's 78 00:04:28,080 --> 00:04:30,960 Speaker 3: true for India, that's true for every country in the world. 79 00:04:30,960 --> 00:04:32,159 Speaker 3: I think you've. 80 00:04:32,000 --> 00:04:35,480 Speaker 2: Met with President Biden on Ai in Washington, Prime Minister 81 00:04:35,600 --> 00:04:38,560 Speaker 2: Sunak on Ai in London. How do we get to 82 00:04:38,680 --> 00:04:42,000 Speaker 2: global consensus on smart AI regulation. 83 00:04:43,960 --> 00:04:46,760 Speaker 3: It's not going to be easy, But I would start 84 00:04:46,800 --> 00:04:52,359 Speaker 3: from this premise that AI will proliferate. So this is 85 00:04:52,400 --> 00:04:56,560 Speaker 3: not the inherent nature of software. AI advances will get 86 00:04:56,560 --> 00:05:01,279 Speaker 3: out to in all countries, so it is naturally the 87 00:05:01,360 --> 00:05:04,960 Speaker 3: kind of technology. I don't think there's any unilateral safety 88 00:05:05,839 --> 00:05:09,880 Speaker 3: to be had. We all have a shared incentive to 89 00:05:09,960 --> 00:05:13,320 Speaker 3: solve for safety. You know, you could have AI go 90 00:05:13,440 --> 00:05:16,839 Speaker 3: wrong in one country that will impact every other country. 91 00:05:17,080 --> 00:05:19,440 Speaker 3: So in some ways, it's like climate change in the planet. 92 00:05:19,440 --> 00:05:22,360 Speaker 3: We all share a planet. I think that's true for AI. 93 00:05:23,160 --> 00:05:26,000 Speaker 3: So now that you know that will be true, I 94 00:05:26,000 --> 00:05:30,400 Speaker 3: think you have to start building the frameworks globally to 95 00:05:30,440 --> 00:05:35,239 Speaker 3: make progress. I've seen encouraging progress when the G seven 96 00:05:35,320 --> 00:05:38,080 Speaker 3: happened in Hiroshima. I think it was a good start. 97 00:05:38,920 --> 00:05:42,320 Speaker 3: You've seen more progress the Uki summit last week. The 98 00:05:42,400 --> 00:05:46,120 Speaker 3: administration here, the White House has been leading the way 99 00:05:46,160 --> 00:05:51,159 Speaker 3: as well, and I saw good, encouraging announcements even yesterday 100 00:05:51,400 --> 00:05:54,919 Speaker 3: for US in China to start having a dialogue on AI. 101 00:05:55,200 --> 00:05:58,080 Speaker 2: Well, that was my next question. Should Chinese regulators be 102 00:05:58,120 --> 00:05:59,960 Speaker 2: part of this conversation on AI regulator? 103 00:06:02,279 --> 00:06:05,480 Speaker 3: You know my senses, there is no way you make 104 00:06:05,560 --> 00:06:09,880 Speaker 3: progress over the long term without China and the US 105 00:06:10,480 --> 00:06:13,359 Speaker 3: deeply talking to each other on something like AI. So 106 00:06:13,400 --> 00:06:15,400 Speaker 3: I think that has got to be an integral part 107 00:06:15,400 --> 00:06:19,240 Speaker 3: of how you make progress, So I think I'm glad 108 00:06:19,279 --> 00:06:21,920 Speaker 3: to see it, and you know, we have to lay 109 00:06:21,960 --> 00:06:24,080 Speaker 3: the foundations. The good thing is we are still in 110 00:06:24,160 --> 00:06:28,839 Speaker 3: early days of the technology, so laying the foundations now 111 00:06:28,920 --> 00:06:31,080 Speaker 3: will allow us to work through the tough issues and 112 00:06:31,080 --> 00:06:32,560 Speaker 3: build a common framework over time. 113 00:06:33,040 --> 00:06:35,839 Speaker 2: Google and other big tech companies have been criticized for 114 00:06:35,880 --> 00:06:39,479 Speaker 2: pushing self serving regulation and pulling up the ladder behind 115 00:06:39,520 --> 00:06:43,760 Speaker 2: them in a way that will stifle AI innovation among startups. 116 00:06:43,760 --> 00:06:44,840 Speaker 2: How do you respond to that? 117 00:06:45,880 --> 00:06:49,400 Speaker 3: Quite the opposite. I mean, pretty much on most areas 118 00:06:49,440 --> 00:06:53,039 Speaker 3: we have worked on, we have deeply supported open innovation. 119 00:06:53,320 --> 00:06:56,040 Speaker 3: You know, if you look at things like Android or Chrome, 120 00:06:56,760 --> 00:06:59,720 Speaker 3: you know, these are all big open source projects. Most 121 00:06:59,760 --> 00:07:03,040 Speaker 3: of the current AI revolution is based on work which 122 00:07:03,040 --> 00:07:05,520 Speaker 3: we've published as a company and shared with the world. 123 00:07:06,920 --> 00:07:10,000 Speaker 3: And I think as we move ahead, open source is 124 00:07:10,040 --> 00:07:13,280 Speaker 3: going to play critical role in driving AI innovation forward. 125 00:07:14,120 --> 00:07:16,400 Speaker 3: And I think we have to be careful not to 126 00:07:16,880 --> 00:07:20,840 Speaker 3: do regulation in a way that you know, either harms 127 00:07:20,880 --> 00:07:24,160 Speaker 3: open source technologies or smaller companies. So I actually think 128 00:07:24,200 --> 00:07:28,600 Speaker 3: we care about that, you know. Having said that, I 129 00:07:28,640 --> 00:07:33,560 Speaker 3: think we're also being asked to contribute for how would 130 00:07:33,600 --> 00:07:37,240 Speaker 3: you tackle AI safety right and so we have to 131 00:07:37,280 --> 00:07:39,200 Speaker 3: think through issues like that. I don't see this as 132 00:07:39,200 --> 00:07:43,320 Speaker 3: being at odds with each other. For example, next year, 133 00:07:43,360 --> 00:07:45,440 Speaker 3: about two and a half billion people around the world 134 00:07:45,480 --> 00:07:47,200 Speaker 3: would participate in an election. 135 00:07:47,320 --> 00:07:50,440 Speaker 2: Right, the biggest election in history is going to be 136 00:07:50,480 --> 00:07:51,000 Speaker 2: happening in. 137 00:07:50,920 --> 00:07:54,720 Speaker 3: India, that's right, and you know, and many more countries 138 00:07:54,720 --> 00:07:58,080 Speaker 3: around the world, including the US, So maybe almost one 139 00:07:58,120 --> 00:08:00,240 Speaker 3: in three people in the world maybe part of paid 140 00:08:00,280 --> 00:08:03,640 Speaker 3: in an electoral process next year. So how do you 141 00:08:03,680 --> 00:08:08,320 Speaker 3: think about you know, generative AI, you know, causing misinformation 142 00:08:08,440 --> 00:08:12,520 Speaker 3: there These are real problems. So we're thinking through areas 143 00:08:12,560 --> 00:08:14,560 Speaker 3: like that. But I think that that is not the 144 00:08:15,720 --> 00:08:19,720 Speaker 3: that shouldn't hinder innovation because of the opportunity, you know, 145 00:08:19,760 --> 00:08:23,000 Speaker 3: opportunity we talked about earlier. So we you know, we 146 00:08:23,000 --> 00:08:25,720 Speaker 3: we think about this framework as being bold and responsible 147 00:08:25,760 --> 00:08:28,440 Speaker 3: at the same time. And I think it's important to 148 00:08:28,480 --> 00:08:30,800 Speaker 3: do both. And I think that's true for governments as well. 149 00:08:31,280 --> 00:08:34,960 Speaker 2: We've already seen, you know, as it pertains to India 150 00:08:35,920 --> 00:08:41,600 Speaker 2: three D generated holograms of Prime Minister Modi AI generated 151 00:08:41,679 --> 00:08:45,720 Speaker 2: voice and voice and songs. How do you think AI, 152 00:08:45,880 --> 00:08:48,400 Speaker 2: and obviously the US presidential election coming up as well, 153 00:08:48,440 --> 00:08:50,240 Speaker 2: how do you think AI is going to further test 154 00:08:50,400 --> 00:08:51,600 Speaker 2: election integrity? 155 00:08:53,679 --> 00:08:56,920 Speaker 3: I think, you know, over time, it's going to lower 156 00:08:57,000 --> 00:09:01,760 Speaker 3: the barrier for creating you know, artificial information which may 157 00:09:01,840 --> 00:09:04,360 Speaker 3: or may not mirror what's happening in the real world, right, 158 00:09:05,040 --> 00:09:08,560 Speaker 3: and that barrier will come down. So in this cat 159 00:09:08,640 --> 00:09:12,160 Speaker 3: and mouse game, how do we amp up our defenses 160 00:09:12,920 --> 00:09:16,800 Speaker 3: against that. We are in early stages, right. You know, 161 00:09:16,800 --> 00:09:19,320 Speaker 3: we were one of the first companies to announce a 162 00:09:19,400 --> 00:09:23,719 Speaker 3: watermarking technology for image generation. It's called Synthide, done by 163 00:09:23,760 --> 00:09:26,520 Speaker 3: deep Mind, and we are providing API access to it. 164 00:09:27,400 --> 00:09:30,880 Speaker 3: But all of us need to tackle it. These are 165 00:09:30,920 --> 00:09:33,760 Speaker 3: areas where regulation will have to play a role, right. 166 00:09:33,800 --> 00:09:37,600 Speaker 3: I think governments will have to over time pass regulations 167 00:09:37,600 --> 00:09:41,199 Speaker 3: about what is okay for you some of this synthetic 168 00:09:41,280 --> 00:09:43,440 Speaker 3: content and so, which is why I think you have 169 00:09:43,440 --> 00:09:45,880 Speaker 3: to think about it, you know, together. 170 00:09:46,320 --> 00:09:48,920 Speaker 2: Open AI CEO Sam Moment has said repeatedly he wants 171 00:09:48,960 --> 00:09:51,240 Speaker 2: to know more about what's happening with AI in China. 172 00:09:51,800 --> 00:09:53,480 Speaker 2: What do you know and what do you not know 173 00:09:53,720 --> 00:09:56,040 Speaker 2: about where China is on AI? 174 00:09:57,880 --> 00:10:01,120 Speaker 3: Okay? I think they are making from what I can tell, 175 00:10:01,160 --> 00:10:05,400 Speaker 3: they're making deep investments in AI. The scale of AI 176 00:10:05,520 --> 00:10:09,000 Speaker 3: research talent in China is just simply astounding to see. 177 00:10:10,000 --> 00:10:13,520 Speaker 3: So I think, you know, in some ways this question, 178 00:10:13,840 --> 00:10:15,880 Speaker 3: China is going to be at the forefront of AI, 179 00:10:16,200 --> 00:10:19,839 Speaker 3: and you know, I think that's a given. And so 180 00:10:19,880 --> 00:10:23,679 Speaker 3: the question is how do we work over time, both 181 00:10:23,800 --> 00:10:26,679 Speaker 3: for you know, other countries to make sure you're making 182 00:10:26,720 --> 00:10:29,480 Speaker 3: progress in AI and over time, how do we develop 183 00:10:29,559 --> 00:10:34,480 Speaker 3: the frameworks where you know, countries can coexist peacefully in 184 00:10:34,480 --> 00:10:37,120 Speaker 3: a world in which AI will be you know, everywhere. 185 00:10:38,120 --> 00:10:41,120 Speaker 2: You know, President Biden actually just said he doesn't see 186 00:10:41,160 --> 00:10:43,760 Speaker 2: the USD coupling with China, but the world does seem 187 00:10:43,760 --> 00:10:47,480 Speaker 2: to be on a path to two separate internets. Do 188 00:10:47,559 --> 00:10:49,880 Speaker 2: we continue in that direction? And what does that mean? 189 00:10:51,160 --> 00:10:54,319 Speaker 3: It's tough to say. You know, things go through in phases. 190 00:10:55,040 --> 00:10:57,079 Speaker 3: I think we are definitely in a phase where there 191 00:10:57,080 --> 00:11:02,240 Speaker 3: are more forces pulling it apart. But you know, inherently 192 00:11:02,320 --> 00:11:08,320 Speaker 3: these technologies also facilitate easy exchange of information, so I 193 00:11:08,320 --> 00:11:10,959 Speaker 3: think there are countervailing forces as well, So I think 194 00:11:11,000 --> 00:11:14,000 Speaker 3: it's tough to predict. I do think information wants to 195 00:11:14,000 --> 00:11:17,880 Speaker 3: flow freely by nature, So you know, my hope is 196 00:11:17,960 --> 00:11:21,320 Speaker 3: over time, you know, things to couple back again. 197 00:11:21,840 --> 00:11:24,800 Speaker 2: Could AI or cloud some of these newer businesses that 198 00:11:24,880 --> 00:11:27,280 Speaker 2: Google has been building, could that be a path back 199 00:11:27,320 --> 00:11:28,720 Speaker 2: into China for Google? 200 00:11:29,600 --> 00:11:32,640 Speaker 3: Yeah? Today we you know, our presence in China is 201 00:11:32,679 --> 00:11:38,560 Speaker 3: limited limited, and we are definitely focused on We deeply 202 00:11:38,600 --> 00:11:41,319 Speaker 3: partner with governments around the world. In fact, one of 203 00:11:41,360 --> 00:11:43,840 Speaker 3: the big opportunities we have with cloud and AI is 204 00:11:44,480 --> 00:11:47,520 Speaker 3: many governments are working and they are thinking about how 205 00:11:47,559 --> 00:11:50,640 Speaker 3: to incorporate AI to transform their services to their citizens, 206 00:11:51,160 --> 00:11:53,480 Speaker 3: improve their infrastructure, et cetera. So it's the AA where 207 00:11:53,480 --> 00:11:57,160 Speaker 3: we really focus on, but not messly visa VI China. 208 00:11:58,160 --> 00:12:01,960 Speaker 2: Now, the conversation around AI is super polarized. Either we're 209 00:12:01,960 --> 00:12:05,400 Speaker 2: headed toward human extinction and the robocalypse or we're all 210 00:12:05,400 --> 00:12:10,320 Speaker 2: going to have superpowers? Which one is it? You know? 211 00:12:11,120 --> 00:12:13,920 Speaker 3: I am I am optimistic, right. I think as humanity, 212 00:12:13,960 --> 00:12:18,320 Speaker 3: we've harnessed every technology to our benefits, you know, and 213 00:12:19,280 --> 00:12:22,320 Speaker 3: more than any other technology, I've seen us be worried 214 00:12:22,360 --> 00:12:26,120 Speaker 3: about it at its earliest stages. So in some ways 215 00:12:26,120 --> 00:12:29,320 Speaker 3: that gives me hope. I do think we have to 216 00:12:29,360 --> 00:12:33,760 Speaker 3: be very optimistic because it can really you know, drive progress, 217 00:12:34,200 --> 00:12:37,880 Speaker 3: you know, at a fundamental level, be its scientific discovery, 218 00:12:37,960 --> 00:12:39,880 Speaker 3: like we are seeing with the alpha fold at Google. 219 00:12:40,679 --> 00:12:43,440 Speaker 3: So I think there's a lot of optimism to be had, 220 00:12:44,600 --> 00:12:46,800 Speaker 3: but I think we have to work hard to harness it. 221 00:12:47,360 --> 00:12:50,160 Speaker 3: But that is true of every other technological advance we've 222 00:12:50,160 --> 00:12:53,480 Speaker 3: had before. It was true of the Industrial Revolution, and 223 00:12:53,520 --> 00:12:56,120 Speaker 3: I think we can learn from those things. Act earlier, 224 00:12:56,760 --> 00:12:59,400 Speaker 3: to work hard making sure there's a better outcome. Some 225 00:12:59,600 --> 00:13:00,800 Speaker 3: optimist stick it. 226 00:13:01,360 --> 00:13:04,760 Speaker 2: You pivoted Google to an AI first company in twenty sixteen, 227 00:13:04,960 --> 00:13:07,640 Speaker 2: and yet there's still this perception that Google is somehow 228 00:13:07,640 --> 00:13:10,920 Speaker 2: missing the boat on AI. Are you behind? Are you 229 00:13:11,000 --> 00:13:12,080 Speaker 2: behind Open Ai? 230 00:13:13,400 --> 00:13:16,280 Speaker 3: You know, look coming credit to them for I think 231 00:13:16,960 --> 00:13:20,400 Speaker 3: Chatchipt was a great product with a great product market fit. 232 00:13:21,400 --> 00:13:25,240 Speaker 3: But when I look at me, we've been incorporating AI 233 00:13:25,280 --> 00:13:29,800 Speaker 3: in our products for a long time. A lot of 234 00:13:29,800 --> 00:13:32,880 Speaker 3: the underlying technology is built from Google. We are building 235 00:13:32,880 --> 00:13:36,839 Speaker 3: our next generation of models with Gemini, and I am 236 00:13:37,000 --> 00:13:41,480 Speaker 3: extraordinarily excited at the innovation coming ahead. If anything, I 237 00:13:41,520 --> 00:13:44,880 Speaker 3: look ahead, I think we build a company for this moment. 238 00:13:45,200 --> 00:13:47,640 Speaker 3: I expected to be a golden age of innovation ahead 239 00:13:48,400 --> 00:13:51,600 Speaker 3: and can wait to bring out the innovations to more people. 240 00:13:51,720 --> 00:13:54,000 Speaker 2: So tell us more about Gemini, give us a glimpse. 241 00:13:54,000 --> 00:13:55,960 Speaker 2: I mean, this is something that's been touted as a 242 00:13:56,000 --> 00:13:59,679 Speaker 2: magic ingredient for search. What have you seen in how 243 00:13:59,720 --> 00:14:01,280 Speaker 2: trans formative ook. 244 00:14:01,360 --> 00:14:03,680 Speaker 3: Going to be? I think all of us are trying 245 00:14:03,720 --> 00:14:05,680 Speaker 3: to push the state of the art of r generatio AI. 246 00:14:05,920 --> 00:14:09,840 Speaker 3: Is our goal with Gemini, you know, is to put 247 00:14:09,840 --> 00:14:12,480 Speaker 3: out a state of the art model, right, That's where 248 00:14:12,480 --> 00:14:15,280 Speaker 3: we would start with Gemini one point zero and then 249 00:14:15,440 --> 00:14:20,080 Speaker 3: add more innovations, you know, truly make the multimodel, bring 250 00:14:20,120 --> 00:14:22,280 Speaker 3: in features like memory and planning in and so on. 251 00:14:22,840 --> 00:14:24,920 Speaker 3: But we have focused on getting it out, you know, 252 00:14:24,960 --> 00:14:27,800 Speaker 3: I viewed Gemini as a series of models. We are 253 00:14:27,800 --> 00:14:30,120 Speaker 3: focused on getting Gemini one point zero out as soon 254 00:14:30,160 --> 00:14:33,200 Speaker 3: as possible, make sure it's competitive, state of the art, 255 00:14:33,760 --> 00:14:34,880 Speaker 3: and build from there on. 256 00:14:35,880 --> 00:14:39,560 Speaker 2: Google just invested two billion dollars in anthropic Microsoft, of course, 257 00:14:39,560 --> 00:14:42,680 Speaker 2: has billions in open AI. I recently sat down with 258 00:14:42,760 --> 00:14:45,440 Speaker 2: Lena Khan, who's the chair of the US Federal Trade Commission, 259 00:14:45,440 --> 00:14:48,680 Speaker 2: and she said they're hearing concerns that big tech companies 260 00:14:48,720 --> 00:14:52,600 Speaker 2: are extending their power by investing not just money, but 261 00:14:52,680 --> 00:14:56,360 Speaker 2: also sharing their clouds with these AI startups. Is that 262 00:14:56,440 --> 00:15:01,760 Speaker 2: fair can innovator succeed and start up succeed without allying 263 00:15:01,800 --> 00:15:02,760 Speaker 2: themselves with big tech. 264 00:15:03,920 --> 00:15:06,880 Speaker 3: Well, you know, I mean it all depens on the details. 265 00:15:06,920 --> 00:15:09,000 Speaker 3: And you know, in these deals when we do with 266 00:15:09,040 --> 00:15:12,200 Speaker 3: these companies, we are also enabling them because of our 267 00:15:12,240 --> 00:15:16,200 Speaker 3: cloud technology. And we you know, we don't have a 268 00:15:16,240 --> 00:15:18,480 Speaker 3: controlling stake in any of these companies, so they are 269 00:15:18,520 --> 00:15:23,000 Speaker 3: independent companies in which we are a technology provider, right, 270 00:15:23,080 --> 00:15:26,760 Speaker 3: And I think I actually would make the argument the 271 00:15:26,800 --> 00:15:28,760 Speaker 3: opposite way if you just look at the last year, 272 00:15:28,800 --> 00:15:30,760 Speaker 3: look at all the new names we are talking about. 273 00:15:31,400 --> 00:15:33,680 Speaker 3: To me, it shows that we are in an incredibly 274 00:15:33,760 --> 00:15:38,040 Speaker 3: dynamic moment again, you know, and so and yes, we 275 00:15:38,520 --> 00:15:40,520 Speaker 3: I think we have to play a role in enabling 276 00:15:40,560 --> 00:15:43,080 Speaker 3: the next generation of companies, which is what Cloud does. 277 00:15:44,000 --> 00:15:46,800 Speaker 3: Cloud allows us to take the same technology that Google 278 00:15:46,880 --> 00:15:49,640 Speaker 3: is built on and actually share it with everyone else. 279 00:15:50,160 --> 00:15:52,640 Speaker 3: So I think, if anything, it's pro innovation, and so 280 00:15:52,720 --> 00:15:54,280 Speaker 3: I think there's a lot of good things about it. 281 00:15:54,800 --> 00:15:57,560 Speaker 2: You've been spending some time in Washington lately. There are 282 00:15:57,600 --> 00:16:00,880 Speaker 2: a couple of big trials underway. The US Justice Department, 283 00:16:00,920 --> 00:16:03,280 Speaker 2: for one, is trying to prove that Google is a monopoly, 284 00:16:03,400 --> 00:16:07,760 Speaker 2: a search monopoly. Google does dominate ninety percent of search, 285 00:16:08,600 --> 00:16:10,920 Speaker 2: which is ninety percent of like how we see and 286 00:16:11,000 --> 00:16:13,400 Speaker 2: experience in the world. It's hard to get information and 287 00:16:13,440 --> 00:16:17,400 Speaker 2: not use Google. Why should any one company have that 288 00:16:17,520 --> 00:16:18,200 Speaker 2: much power? 289 00:16:19,160 --> 00:16:22,960 Speaker 3: You know, I genuinely think we don't have that position. 290 00:16:23,720 --> 00:16:26,440 Speaker 3: We are not ninety percent of users information needs. You know, 291 00:16:26,480 --> 00:16:30,280 Speaker 3: I look at my kids generation on their phone. They 292 00:16:30,360 --> 00:16:34,000 Speaker 3: have access to the entire world's information at their fingertips. 293 00:16:34,400 --> 00:16:36,760 Speaker 3: They're getting a lot of their information from social media. 294 00:16:36,880 --> 00:16:39,960 Speaker 3: They get to go to wherever they want, and so 295 00:16:40,600 --> 00:16:43,080 Speaker 3: you know, those are you know, people don't always go 296 00:16:43,160 --> 00:16:46,520 Speaker 3: to a general search engine for information, and that plays 297 00:16:46,520 --> 00:16:49,880 Speaker 3: out in the ads market too. I think we've just 298 00:16:49,920 --> 00:16:52,560 Speaker 3: talked about when I look at how much tech is 299 00:16:52,600 --> 00:16:55,840 Speaker 3: constantly innovating, and we have to work hard every year. 300 00:16:56,920 --> 00:16:59,720 Speaker 3: You know, there's irony in your questions of aren't you 301 00:16:59,720 --> 00:17:02,680 Speaker 3: in this position? And R and behind I mean ai, 302 00:17:02,720 --> 00:17:04,840 Speaker 3: I mean so both can be true at the same time. 303 00:17:05,560 --> 00:17:08,240 Speaker 3: So it's clearly a dynamic moment, and I'm glad we 304 00:17:08,280 --> 00:17:10,920 Speaker 3: get a chance to make that case. And so I 305 00:17:11,000 --> 00:17:12,880 Speaker 3: think the facts will speak for themselves. 306 00:17:14,040 --> 00:17:16,800 Speaker 2: Some of Google's work with governments around the world has 307 00:17:16,840 --> 00:17:19,600 Speaker 2: gotten pushed back from your own employees. Obviously, we've got 308 00:17:19,640 --> 00:17:23,160 Speaker 2: the world watching the Israel Hamas war right now. You've 309 00:17:23,160 --> 00:17:26,840 Speaker 2: got a contract project Nimbus, where by Google provides cloud 310 00:17:26,880 --> 00:17:30,120 Speaker 2: and AI services along with Amazon's Aws to the Israeli 311 00:17:30,160 --> 00:17:32,879 Speaker 2: military and government. Can you give us an update on 312 00:17:32,920 --> 00:17:33,560 Speaker 2: that project. 313 00:17:34,520 --> 00:17:37,440 Speaker 3: It's very much in line with what I said earlier. 314 00:17:37,520 --> 00:17:40,320 Speaker 3: We work with governments around the world. You know, we 315 00:17:40,359 --> 00:17:44,200 Speaker 3: think it's a responsibility. AI is an important technology. How 316 00:17:44,200 --> 00:17:48,000 Speaker 3: do you use it to modernize your country's infrastructure and 317 00:17:48,040 --> 00:17:53,440 Speaker 3: your services? Project Nimbers is this was an RFP from 318 00:17:53,560 --> 00:17:58,840 Speaker 3: Israel's Ministry of Finance to modernize their digital infrastructure. And 319 00:17:58,920 --> 00:18:02,280 Speaker 3: that's the project. And proud to be doing project numbers 320 00:18:02,320 --> 00:18:04,160 Speaker 3: like we do with many governments around the world. 321 00:18:05,520 --> 00:18:09,000 Speaker 2: There was you know, Russia, Ukraine, Now we've got Israel 322 00:18:09,040 --> 00:18:12,920 Speaker 2: and Hamas. How do you think about wielding Google's geopolitical 323 00:18:12,960 --> 00:18:14,400 Speaker 2: power in a time of conflict? 324 00:18:14,960 --> 00:18:18,159 Speaker 3: Okay? I mean I view us as a partner to 325 00:18:19,240 --> 00:18:22,840 Speaker 3: you know, like minded governments which share democratic values around 326 00:18:22,840 --> 00:18:27,040 Speaker 3: the world. I think we can be a critical technology partner. 327 00:18:27,720 --> 00:18:30,919 Speaker 3: I think we want to participate in important issues that 328 00:18:30,960 --> 00:18:35,200 Speaker 3: affect these countries, be its skilling and educating their workforce. 329 00:18:35,880 --> 00:18:38,439 Speaker 3: Be it bringing access to more knowledge and information, and 330 00:18:38,480 --> 00:18:40,399 Speaker 3: that's the role. And be it helping them build out 331 00:18:40,400 --> 00:18:45,640 Speaker 3: their digital infrastructure, including AI. And I think that's the role. 332 00:18:46,400 --> 00:18:48,639 Speaker 3: You know, we don't see it in a geopolitical context. 333 00:18:49,080 --> 00:18:51,399 Speaker 3: We see it in an enabling context. We want to 334 00:18:51,400 --> 00:18:54,680 Speaker 3: be partners to these companies and you know, and there 335 00:18:54,680 --> 00:18:57,680 Speaker 3: are times information plays an important role in these moments 336 00:18:58,040 --> 00:19:01,159 Speaker 3: and we want to get those moments right. And so 337 00:19:01,240 --> 00:19:01,920 Speaker 3: that's the way I. 338 00:19:01,880 --> 00:19:05,400 Speaker 2: Think about it Google, and so much not every government 339 00:19:05,440 --> 00:19:07,600 Speaker 2: is like minded, right Google, and so much of US 340 00:19:07,680 --> 00:19:11,200 Speaker 2: tech relies on Taiwan for chips. If tensions escalate between 341 00:19:11,200 --> 00:19:14,040 Speaker 2: Taiwan and China, how big a threat is that to 342 00:19:14,080 --> 00:19:17,120 Speaker 2: the US tech industry. It is enough being done to 343 00:19:17,200 --> 00:19:19,359 Speaker 2: mitigate that risk. 344 00:19:19,400 --> 00:19:23,000 Speaker 3: This goes beyond Google. I think in today's world, a 345 00:19:23,040 --> 00:19:27,640 Speaker 3: lot of the semiconductive manufacturing technology, you know, comes out 346 00:19:27,680 --> 00:19:30,399 Speaker 3: of the innovation from Taiwan. And you know that's a 347 00:19:30,440 --> 00:19:34,440 Speaker 3: dipendency which exists. And so you know, but this is 348 00:19:34,760 --> 00:19:37,480 Speaker 3: not a unique Google thing, and you know, my senses 349 00:19:37,520 --> 00:19:39,120 Speaker 3: it will be that way for a long time to come. 350 00:19:40,160 --> 00:19:43,680 Speaker 2: Eight years ago, you changed Google's motto Google changed its 351 00:19:43,680 --> 00:19:45,960 Speaker 2: motto from don't be evil to do the right thing. 352 00:19:46,760 --> 00:19:49,159 Speaker 2: What does it mean to do the right thing in 353 00:19:49,200 --> 00:19:51,320 Speaker 2: an AI powered world? 354 00:19:51,960 --> 00:19:54,960 Speaker 3: Hopefully AI will also help us, you know, give inputs 355 00:19:54,960 --> 00:19:56,520 Speaker 3: to it. But look, I think it has to be 356 00:19:56,600 --> 00:20:02,399 Speaker 3: grounded in the fundament the values of humanity, you know, 357 00:20:02,560 --> 00:20:06,600 Speaker 3: human rights and universal human values we all agree on 358 00:20:06,720 --> 00:20:09,639 Speaker 3: has got to be the foundation for it. And you 359 00:20:09,680 --> 00:20:11,880 Speaker 3: know you have to build it up from there, and 360 00:20:12,040 --> 00:20:13,919 Speaker 3: there'll be a lot of debate about it, but you know, 361 00:20:13,960 --> 00:20:16,760 Speaker 3: that's the foundational thing I would go back to. And 362 00:20:17,040 --> 00:20:20,000 Speaker 3: you know, as long as AI reflects the essence of 363 00:20:20,119 --> 00:20:23,640 Speaker 3: what's good about innately good about humanity, I think will 364 00:20:23,640 --> 00:20:24,480 Speaker 3: be will be Okay. 365 00:20:24,760 --> 00:20:26,880 Speaker 2: Everyone likes to ask you what keeps you up at night? 366 00:20:26,960 --> 00:20:31,040 Speaker 2: And I'm curious right now this year, what what do 367 00:20:31,080 --> 00:20:33,320 Speaker 2: you worry about you about? 368 00:20:33,640 --> 00:20:37,560 Speaker 3: Look, I'm excited because it's an extraordinary moment of innovation. 369 00:20:39,040 --> 00:20:42,080 Speaker 3: You know, when I look at the pace of activity, 370 00:20:42,920 --> 00:20:44,760 Speaker 3: you know, even at Google, it reminds me of Google's 371 00:20:44,760 --> 00:20:48,480 Speaker 3: earliest days. So so there's a lot of energy I 372 00:20:48,480 --> 00:20:52,359 Speaker 3: get from that, you know, innovation, because you know it 373 00:20:52,400 --> 00:20:54,320 Speaker 3: plays out and it will drive benefits in the world. 374 00:20:55,880 --> 00:20:58,199 Speaker 3: I do worry about many things, making sure we are 375 00:20:58,240 --> 00:21:00,760 Speaker 3: meeting the moment and moving fast as a company to 376 00:21:02,359 --> 00:21:06,159 Speaker 3: making sure today election question, we talked about getting it 377 00:21:06,280 --> 00:21:08,920 Speaker 3: right and the responsibility to do so. So it's a 378 00:21:09,000 --> 00:21:10,960 Speaker 3: it's a balance of all of that, all right. 379 00:21:11,080 --> 00:21:14,000 Speaker 2: Sindhar Pachai, CEO of Google, thank you for spending your 380 00:21:14,040 --> 00:21:14,600 Speaker 2: time with us 381 00:21:14,720 --> 00:21:16,280 Speaker 3: To thank you, thank you, thank you,