1 00:00:02,759 --> 00:00:08,880 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. All right, back to 2 00:00:09,000 --> 00:00:12,040 Speaker 1: kind of our tech focus this hour, our team around 3 00:00:12,080 --> 00:00:14,560 Speaker 1: the globe and across the United States, continuing to report 4 00:00:14,600 --> 00:00:16,440 Speaker 1: out on some of the big tech events that are 5 00:00:16,440 --> 00:00:18,800 Speaker 1: happening on this Tuesday. Right now, we want to head 6 00:00:18,840 --> 00:00:22,600 Speaker 1: to Google Io. It's Google's annual developer conference. It focuses 7 00:00:22,640 --> 00:00:26,520 Speaker 1: on the company's advancements in AI, Android operating system, smartwatches, 8 00:00:26,840 --> 00:00:29,920 Speaker 1: and it's scam detection tools. And Tim, it's happening right 9 00:00:29,920 --> 00:00:31,280 Speaker 1: now in Mountain View, California. 10 00:00:31,440 --> 00:00:34,480 Speaker 2: That's where we find Bloomberg News technology reporter Jack Devallos 11 00:00:34,560 --> 00:00:35,760 Speaker 2: with Google's Liz Reach. 12 00:00:35,800 --> 00:00:38,320 Speaker 1: He's vice president and head of Search at the firm. 13 00:00:38,360 --> 00:00:40,080 Speaker 1: Hey Jackie, Hey Tim. 14 00:00:39,920 --> 00:00:42,360 Speaker 2: And Carol Liz, it's great to have you today. 15 00:00:42,479 --> 00:00:44,040 Speaker 3: A pleasure to be with you here today. 16 00:00:44,280 --> 00:00:46,560 Speaker 2: The big news that came out of that keynote speech 17 00:00:46,680 --> 00:00:50,159 Speaker 2: was really AI Mode. It's what everyone was really hoping 18 00:00:50,520 --> 00:00:53,320 Speaker 2: to get an insight into what's next for search, and 19 00:00:53,440 --> 00:00:58,120 Speaker 2: you called it the most powerful search and Geniette described 20 00:00:58,200 --> 00:01:01,400 Speaker 2: to us why this is a total reimagining of the 21 00:01:01,400 --> 00:01:02,280 Speaker 2: search experience. 22 00:01:03,120 --> 00:01:06,600 Speaker 3: Yeah, I think we've seen with aio reviews that it's 23 00:01:06,600 --> 00:01:09,280 Speaker 3: been really great for people, enabling them to ask new 24 00:01:09,319 --> 00:01:12,119 Speaker 3: types of questions. But we also saw that people really 25 00:01:12,160 --> 00:01:14,400 Speaker 3: wanted to say sometimes they have those hard questions, they 26 00:01:14,400 --> 00:01:17,480 Speaker 3: want to go directly to an AI powered response. They 27 00:01:17,480 --> 00:01:20,039 Speaker 3: wanted to ask follow up questions because they're trying to 28 00:01:20,040 --> 00:01:22,160 Speaker 3: do something in more depth in research, and so we 29 00:01:22,240 --> 00:01:25,080 Speaker 3: really thought about what does that experience look like for people, 30 00:01:25,560 --> 00:01:27,080 Speaker 3: and how do we bring it in so that they 31 00:01:27,080 --> 00:01:30,200 Speaker 3: can ask truly their hardest questions and then continue to 32 00:01:30,200 --> 00:01:31,920 Speaker 3: explore and take action throughout the web. 33 00:01:32,200 --> 00:01:34,200 Speaker 2: So is this the end of the blue links? 34 00:01:34,800 --> 00:01:38,880 Speaker 3: No, absolutely not. I think both within aiover reviews and 35 00:01:38,920 --> 00:01:42,240 Speaker 3: within AI mode, AI is actually allowing us to go 36 00:01:42,360 --> 00:01:46,600 Speaker 3: deeper into search. It's allowing people to find that hyper relevant, 37 00:01:46,800 --> 00:01:50,400 Speaker 3: incredibly fresh content that really matches your need. If you 38 00:01:50,440 --> 00:01:52,520 Speaker 3: think about it, if you are doing more of sort 39 00:01:52,560 --> 00:01:54,840 Speaker 3: of a keywordy style, you only gave a few words. 40 00:01:54,880 --> 00:01:58,040 Speaker 3: You didn't really describe what the particular type of shoes 41 00:01:58,080 --> 00:02:01,559 Speaker 3: you want are. And you saw with the shopping example today, Okay, 42 00:02:01,560 --> 00:02:03,920 Speaker 3: if you're really describing this is the type of rug 43 00:02:03,960 --> 00:02:06,640 Speaker 3: I want to buy, can you find that great small 44 00:02:06,680 --> 00:02:09,240 Speaker 3: merchant that sells the perfect rug for you, and so 45 00:02:09,320 --> 00:02:11,360 Speaker 3: I think that will continue to thrive going forward. 46 00:02:11,600 --> 00:02:14,040 Speaker 2: One of the biggest questions is really around search has 47 00:02:14,080 --> 00:02:16,280 Speaker 2: really come up around do I use one of these 48 00:02:16,320 --> 00:02:21,399 Speaker 2: other chatbots open ai for example, or Meta whatever's out 49 00:02:21,400 --> 00:02:24,320 Speaker 2: there these days, to kind of ask it these questions 50 00:02:24,320 --> 00:02:26,760 Speaker 2: in the same way that I used to use Google 51 00:02:26,840 --> 00:02:29,960 Speaker 2: Search for when it comes to Google's products, why do 52 00:02:30,040 --> 00:02:33,080 Speaker 2: you want users? Do you prefer to have users go 53 00:02:33,200 --> 00:02:35,919 Speaker 2: through the Gemini app or to search? Kind of what's 54 00:02:35,960 --> 00:02:39,240 Speaker 2: the unique benefit of going to search in the case 55 00:02:39,280 --> 00:02:43,320 Speaker 2: for more specific and more complex questions. I think search 56 00:02:43,440 --> 00:02:46,560 Speaker 2: is really designed around helping you with your information needs. 57 00:02:47,360 --> 00:02:52,000 Speaker 2: It's tuned to really think about things like accuracy and factuality. Oftentimes, 58 00:02:52,000 --> 00:02:54,320 Speaker 2: when you have these information needs, you want to get started, 59 00:02:54,320 --> 00:02:56,320 Speaker 2: but then you want to go deeper and research more. 60 00:02:57,000 --> 00:02:59,120 Speaker 3: Let's say you're looking for camps. You want some good 61 00:02:59,120 --> 00:03:00,840 Speaker 3: idea for camps, but we actually want to check out 62 00:03:00,880 --> 00:03:04,000 Speaker 3: the camp sitans, right, and so search is really designed 63 00:03:04,080 --> 00:03:07,359 Speaker 3: to make those questions possible and really focused on doing 64 00:03:07,360 --> 00:03:10,079 Speaker 3: the best job possible when you have questions with really 65 00:03:10,120 --> 00:03:11,160 Speaker 3: at information focus. 66 00:03:11,680 --> 00:03:16,000 Speaker 2: You mentioned accuracy, and Google had some issues with accuracy 67 00:03:16,160 --> 00:03:19,520 Speaker 2: kind of in the more early days of this technology. 68 00:03:19,680 --> 00:03:22,240 Speaker 2: How did you know that AI mode was ready for 69 00:03:22,320 --> 00:03:22,840 Speaker 2: prime time? 70 00:03:23,840 --> 00:03:27,080 Speaker 3: So we have quite thorough testing that we do constantly. 71 00:03:27,560 --> 00:03:31,040 Speaker 3: We have the feedback from the users in the Labs product, 72 00:03:31,560 --> 00:03:35,200 Speaker 3: but also put it through extensive testing around the factuality, 73 00:03:35,880 --> 00:03:38,520 Speaker 3: around the helpfulness of the product, and really seeing that 74 00:03:38,560 --> 00:03:41,480 Speaker 3: both from our benchmarks as well as from the user feedback, 75 00:03:41,520 --> 00:03:42,880 Speaker 3: we believe it is ready. 76 00:03:43,760 --> 00:03:47,720 Speaker 2: The agent kind of aspect to artificial intelligence is something 77 00:03:47,800 --> 00:03:51,480 Speaker 2: that everyone is really curious about when it comes to search. 78 00:03:52,000 --> 00:03:55,120 Speaker 2: What do agents mean in that context? Is it going 79 00:03:55,160 --> 00:03:58,880 Speaker 2: to be kind of us feeding information into search or 80 00:03:59,000 --> 00:04:01,440 Speaker 2: kind of it doing it for us in the long run. 81 00:04:02,600 --> 00:04:05,000 Speaker 3: I think maybe a couple of things to highlight, and 82 00:04:05,040 --> 00:04:08,040 Speaker 3: we talked about how we're bringing Project Mariner in today 83 00:04:08,080 --> 00:04:10,800 Speaker 3: to search. On those cases. For instance, you're trying to 84 00:04:10,800 --> 00:04:13,640 Speaker 3: buy baseball tickets, you would have to go to hundreds 85 00:04:13,680 --> 00:04:16,560 Speaker 3: of different sites enter in the same day the same 86 00:04:16,640 --> 00:04:18,840 Speaker 3: number of tickets and go look at them, and we 87 00:04:18,880 --> 00:04:21,360 Speaker 3: can go off and help pull that information together and 88 00:04:21,400 --> 00:04:23,960 Speaker 3: then allow you to take action. But I think this 89 00:04:24,080 --> 00:04:26,560 Speaker 3: is an important part of agents is agents should be 90 00:04:26,680 --> 00:04:29,280 Speaker 3: taking the drudgery out of the work for you. That's 91 00:04:29,320 --> 00:04:31,200 Speaker 3: how we think about in search, but still keeping you 92 00:04:31,240 --> 00:04:33,760 Speaker 3: in control. Right, So what's the part of the task 93 00:04:33,839 --> 00:04:36,000 Speaker 3: you don't want to do, but then coming back and saying, well, 94 00:04:36,000 --> 00:04:38,520 Speaker 3: which of these do you want? Right? I think if 95 00:04:38,520 --> 00:04:41,080 Speaker 3: you're trying to pick tickets or you're trying to buy 96 00:04:41,400 --> 00:04:44,320 Speaker 3: a great purse, both of those, at the end of 97 00:04:44,360 --> 00:04:47,359 Speaker 3: the day, you probably still want to sign off on 98 00:04:47,400 --> 00:04:49,880 Speaker 3: that final choice. And so we're really thinking about the 99 00:04:50,000 --> 00:04:53,159 Speaker 3: role of both reducing the effort but enabling you the 100 00:04:53,240 --> 00:04:54,320 Speaker 3: agency to participate. 101 00:04:54,560 --> 00:04:57,719 Speaker 2: I'm hearing a lot about engagement, so users are going 102 00:04:57,800 --> 00:04:59,720 Speaker 2: to be using this in a different way, possibly for 103 00:04:59,800 --> 00:05:03,680 Speaker 2: law longer and more efficiently. Earlier this year, an Apple 104 00:05:03,760 --> 00:05:06,039 Speaker 2: executives said that the number of Google searches in the 105 00:05:06,080 --> 00:05:09,320 Speaker 2: Safari browser was starting to take down. Do you expect 106 00:05:09,360 --> 00:05:11,760 Speaker 2: that AI mode could actually reverse that trend? 107 00:05:12,800 --> 00:05:16,520 Speaker 3: So, as we stated, overall search queries are up, including 108 00:05:16,560 --> 00:05:19,640 Speaker 3: on the Apple platforms. But I think you also heard 109 00:05:19,640 --> 00:05:23,719 Speaker 3: from Sender today aioverviews has driven an increase in queries 110 00:05:23,720 --> 00:05:26,520 Speaker 3: already today. I think we expect with AI mode that 111 00:05:26,640 --> 00:05:30,080 Speaker 3: will happen as well. It's really an expansionary moment. There's 112 00:05:30,120 --> 00:05:32,120 Speaker 3: a lot of questions that you might think about in 113 00:05:32,160 --> 00:05:34,440 Speaker 3: your head, but you didn't historically think it was worth 114 00:05:34,440 --> 00:05:37,400 Speaker 3: the time or effort to go ask them. And as 115 00:05:37,440 --> 00:05:40,640 Speaker 3: technology unlocks this, we saw this with aio reviews. People 116 00:05:40,720 --> 00:05:42,760 Speaker 3: just come and they asked that question that used to 117 00:05:42,800 --> 00:05:44,440 Speaker 3: pop in their head, and they would let go and 118 00:05:44,480 --> 00:05:46,200 Speaker 3: do that. And so we really expect the space to 119 00:05:46,200 --> 00:05:46,880 Speaker 3: grow over time. 120 00:05:47,200 --> 00:05:50,120 Speaker 2: One of the areas that I know publishers and content 121 00:05:50,120 --> 00:05:52,640 Speaker 2: creators are really curious about is kind of what the 122 00:05:52,720 --> 00:05:57,039 Speaker 2: longer term impact of aioverviews is on them. Can you 123 00:05:57,120 --> 00:06:00,600 Speaker 2: kind of break down how you expect AI mode kind 124 00:06:00,600 --> 00:06:03,400 Speaker 2: of largely available to affect that cohort. 125 00:06:04,400 --> 00:06:07,200 Speaker 3: So I would say two things we saw with aioverviews 126 00:06:08,560 --> 00:06:12,080 Speaker 3: that pages with aioverviews drive higher quality clicks to websites, 127 00:06:12,400 --> 00:06:14,400 Speaker 3: which means people spend more time on them, they're really 128 00:06:14,400 --> 00:06:16,280 Speaker 3: engaged on them, So it's a good thing for publishers. 129 00:06:16,279 --> 00:06:18,400 Speaker 3: So I think that's a great thing of getting really 130 00:06:18,480 --> 00:06:21,000 Speaker 3: high quality content, and we are looking forward to doing 131 00:06:21,040 --> 00:06:23,840 Speaker 3: the same thing with AI mode as well. I think 132 00:06:23,880 --> 00:06:26,640 Speaker 3: we're going to continue to find deeper parts of the 133 00:06:26,680 --> 00:06:30,200 Speaker 3: web that really incredible, hyper relevant content. But I would 134 00:06:30,240 --> 00:06:32,800 Speaker 3: also say I still expect the vast majority of people 135 00:06:33,520 --> 00:06:37,120 Speaker 3: to interact primarily on the main search experience with aioverviews. 136 00:06:37,360 --> 00:06:40,880 Speaker 3: AI mode is really for those harder tasks. It's for 137 00:06:41,120 --> 00:06:42,960 Speaker 3: the subset of people that really want to be on 138 00:06:43,000 --> 00:06:46,160 Speaker 3: that sort of cutting edge frontier of models. But AIO 139 00:06:46,240 --> 00:06:48,359 Speaker 3: reviews and the main search page continues to be a 140 00:06:48,360 --> 00:06:51,440 Speaker 3: great place for a lot of your questions. When it 141 00:06:51,440 --> 00:06:55,160 Speaker 3: comes to antitrust, it's on our viewer's minds. We're Bloomberg 142 00:06:55,240 --> 00:06:57,440 Speaker 3: and we're really focused on what those implications could be 143 00:06:57,520 --> 00:07:01,400 Speaker 3: on the broader business model. Judge last year ruled that 144 00:07:01,520 --> 00:07:04,920 Speaker 3: Google's dominance in search was an illegal monopoly, and of 145 00:07:04,960 --> 00:07:08,640 Speaker 3: course the outcome of that is still really yet to 146 00:07:08,640 --> 00:07:11,400 Speaker 3: be seen. But for you in your shoes as head 147 00:07:11,400 --> 00:07:13,640 Speaker 3: of search, how are you thinking about the effect that 148 00:07:13,680 --> 00:07:14,240 Speaker 3: could have. 149 00:07:14,600 --> 00:07:15,800 Speaker 2: On your roadmap? 150 00:07:16,680 --> 00:07:19,240 Speaker 3: So in general, we stay just focused on building the 151 00:07:19,240 --> 00:07:22,520 Speaker 3: best thing for our users. People continue to choose Google 152 00:07:22,720 --> 00:07:24,880 Speaker 3: because they find it helpful, not because they have to, 153 00:07:25,480 --> 00:07:27,560 Speaker 3: and that is really our north star and has been 154 00:07:27,640 --> 00:07:30,000 Speaker 3: for years. You go back to that mission of organizing 155 00:07:30,040 --> 00:07:33,560 Speaker 3: all the world's information and make it universally accessible and useful. 156 00:07:34,120 --> 00:07:38,440 Speaker 3: We're a long ways away from the end of that right, Yes, 157 00:07:38,560 --> 00:07:40,520 Speaker 3: we've come a long way in the last twenty five years, 158 00:07:40,520 --> 00:07:43,640 Speaker 3: but there's still so many opportunities to make information more useful. 159 00:07:44,320 --> 00:07:46,280 Speaker 3: We talk today about how we think the future of 160 00:07:46,280 --> 00:07:49,880 Speaker 3: search is going beyond information to intelligence, really helping you 161 00:07:49,960 --> 00:07:52,000 Speaker 3: in a deep way with your needs, and that's that's 162 00:07:52,000 --> 00:07:53,600 Speaker 3: what gets us motivated every day. 163 00:07:53,760 --> 00:07:56,880 Speaker 2: So you don't see the outcome of that antitrust trial 164 00:07:57,000 --> 00:08:01,520 Speaker 2: kind of affecting your strategy in search going forward or 165 00:08:01,640 --> 00:08:02,720 Speaker 2: slowing it down in any way. 166 00:08:03,040 --> 00:08:06,880 Speaker 3: So we don't generally comment on pending legislation, but I 167 00:08:06,920 --> 00:08:10,280 Speaker 3: think in general we'll continue to try and build amazing 168 00:08:10,320 --> 00:08:12,600 Speaker 3: products for users that people love, just as we have 169 00:08:12,680 --> 00:08:14,120 Speaker 3: over the last twenty five years. 170 00:08:14,280 --> 00:08:15,760 Speaker 2: Liz Rae, thanks so much for joining us. 171 00:08:15,800 --> 00:08:17,400 Speaker 3: Thank you for joining having me Carol