[00:00] >> Take a second to realize how far we've come.
[00:07] Empowered by all the things we've made together.
[00:10] >> How many people have looked at a problem and then have been
[00:12] bold enough to say, I can solve it?
[00:15] >> And staring at a future.
[00:17] We all get to decide.
[00:18] >> AI, as the ultimate tool to solve all the world's most
[00:22] complex scientific problems.
[00:24] >> We're taking flight.
[00:29] Every one of us is packed with potential, the potential
[00:35] to make anything we can dream of.
[00:37] >> I do not know personally how to code,
[00:40] but given the option to create something just opens up so many
[00:44] doors for me as an educator.
[00:46] >> I discovered Gemini could help me with a lot of things
[00:50] from menus to marketing and inventory.
[00:53] >> But in a world where anything is possible.
[00:56] >> We're really pushing at this big mission,
[00:58] the mission of solvable disease.
[01:00] This is huge, but we have a profoundly new technology
[01:02] in our hands.
[01:03] >> What matters is what we choose to build.
[01:07] >> Hi, my name is Matteo.
[01:09] My brother Tomas made me this AI assistant.
[01:12] >> So let's not just make.
[01:16] Let's make something that matters.
[01:35] [Applause]
[01:40] >> SUNDAR PICHAI: Hello, Shoreline,
[01:55] and hello to everyone watching from around the world.
[02:00] Excited to be back for this year's I/O.
[02:02] I think it's been an incredible year.
[02:05] All of the relentless shipping, the rapid advances
[02:09] in technology, it's been a period of hyper-progress.
[02:14] I've definitely felt it myself.
[02:15] It's been an intense year.
[02:18] Here's a look at what I've been up to.
[02:20] [Laughter]
[02:26] Okay, I wish this was my year.
[02:29] Actually, the one of me plugging in the TPUs is pretty accurate.
[02:35] But there's probably still more work to do before it's in space,
[02:37] we are working on that.
[02:40] On a serious note, it's been an extraordinary moment.
[02:44] It's been 10 years since we pivoted the company
[02:46] to be AI first.
[02:48] We knew how profound AI would be to advancing our mission,
[02:53] and improving people's lives at scale.
[02:56] This is why we are taking a differentiated, full-stack
[03:00] approach to AI innovation.
[03:02] From our custom silicon and secure foundation,
[03:05] to our world-class research and models,
[03:08] to our products and platforms that reach billions of people.
[03:13] This approach enables us to iterate and innovate faster,
[03:16] and it's lighting up every part of the company.
[03:20] What's really incredible is how people are using our AI.
[03:23] Students prepping for final exams through the Gemini app;
[03:27] musicians and artists using generative AI modules
[03:30] like Lyria and Veo as part of their creative flow;
[03:34] developers coding and bringing their ideas to life.
[03:38] I've been using Gemini in a myriad of ways.
[03:41] Recently, I've been turning to Gemini
[03:42] to make sense of my parents' doctor visits.
[03:45] I'm sure many of you have done a version of that.
[03:48] These stories of how people are using AI
[03:50] are the best measure of progress.
[03:53] To understand the scale at which people are adopting AI,
[03:56] there's another great proxy: Tokens, the fundamental units
[04:00] of data our models process, many representing
[04:03] a problem being solved.
[04:05] Two years ago, we were processing 9.7 trillion tokens
[04:09] a month across our services, a huge number.
[04:11] Last year at I/O, that grew to about 480 trillion tokens,
[04:16] impressive growth.
[04:17] Fast forward to today, that number
[04:19] has jumped seven times to 3.2 quadrillion tokens per month.
[04:24] [Applause]
[04:30] Never imagined I would say quadrillion in an I/O keynote,
[04:32] but here we are.
[04:35] Some out there might call this token maxing,
[04:37] and there's probably some truth to it.
[04:41] I still think it tells an important story,
[04:44] about our products and how others
[04:47] are building on it as well, especially our developers.
[04:51] Over 8.5 million of you are now building new apps
[04:54] and experiences with our models monthly.
[04:57] And our model APIs are now processing around 19 billion
[05:01] tokens per minute.
[05:03] Over the past 12 months, over 375 customers
[05:08] each processed more than 1 trillion tokens,
[05:11] representing incredible demand for AI across our industry.
[05:16] We are, of course, also seeing incredible demand
[05:19] across our products.
[05:20] We now have 13 products with over 1 billion users each.
[05:24] Five of those have more than 3 billion users.
[05:28] [Applause]
[05:34] Our Gemini models are a big reason
[05:36] more people are using our products,
[05:38] and why they are using our products more.
[05:41] It all starts with Search, which is bringing
[05:43] the benefits of generative AI to more
[05:45] people than any other product in the world.
[05:48] AI Overviews now has over 2.5 billion monthly users,
[05:52] and AI mode has been a revelation, our biggest
[05:55] upgrade to Search ever.
[05:57] People love it.
[05:58] In just a year, it's already surpassed
[06:00] 1 billion monthly users.
[06:02] When people use our AI-powered features in Search,
[06:05] they use Search more.
[06:07] I love how Search has become less about individual queries
[06:11] and feels more like an ongoing conversation,
[06:14] giving you deeper insights and connecting you
[06:17] with the vastness of the Web.
[06:19] Another place where we've been rapidly innovating
[06:21] is in the Gemini app.
[06:22] Last year at I/O, the Gemini app had 400 million
[06:26] monthly active users.
[06:27] Today, we have surpassed 900 million, more than doubling
[06:30] in a year.
[06:32] [Applause]
[06:37] In the same time, daily requests have grown over seven times.
[06:41] It's incredible growth.
[06:42] We've been adding a lot of unique features
[06:44] like Personal Intelligence, which makes responses
[06:47] more customized and helpful.
[06:49] And today, more than 50 billion images
[06:52] have been generated with our Nano Banana model.
[06:54] It was a breakout star this past year.
[06:57] I know you've all been having a lot of fun with it.
[07:01] Beyond the Gemini app, we are also
[07:03] having much more natural conversations
[07:05] with Gemini, directly inside many of our products.
[07:09] Recently, Maps got its biggest upgrade in a decade,
[07:12] including a new feature called Ask Maps.
[07:16] People are using it to ask more complex and much longer
[07:20] questions.
[07:21] Here's a real query from a parent:
[07:23] My kid just fell into the duckpond and the wedding starts
[07:27] in 30 minutes.
[07:29] Where can I walk and buy her a new dress?
[07:33] I would like to hear how that turned out.
[07:36] We are also bringing this conversational AI
[07:38] to two more products.
[07:40] First, Ask YouTube.
[07:42] People come to YouTube every day to ask a lot of questions.
[07:46] There's a lot of great videos, and sometimes, it's
[07:49] hard to know where to start.
[07:51] Ask YouTube entirely reimagines the experience.
[07:54] Say you want to teach your 3-year-old how to ride a pedal
[07:58] bike, and they already know how to ride a balance bike.
[08:02] Just ask YouTube.
[08:03] You will see a couple of differences in results.
[08:06] The information is digestible and easy to navigate.
[08:10] You get an overview and helpful tips.
[08:13] You will see videos that best match your interests,
[08:16] so if you want to try a specific method of teaching
[08:19] you can go deeper there.
[08:21] And best of all, it jumps right to the part of the video most
[08:24] relevant for you, brings back memories
[08:27] of teaching my kids to ride.
[08:30] And it remembers the context so you can follow up with questions
[08:33] like, should I buy one with handbrakes, or pedal brakes?
[08:36] Making it an ongoing conversation.
[08:39] It even lays out the information in a table
[08:41] so it's easy to compare.
[08:43] We are starting to test Ask YouTube now,
[08:46] and it will roll out broadly in the U.S. this summer.
[08:51] [Applause]
[08:57] So far, we have shown conversational text queries.
[09:01] There are a lot of times I want to get things
[09:02] done at the speed of my voice.
[09:04] That is much more possible today,
[09:06] thanks to technical leaps in our audio model.
[09:09] A new feature called Docs Live takes this to another level.
[09:14] To create a Doc with Gemini before,
[09:16] you would have to type up a really precise prompt.
[09:19] With Docs Live, you can verbally brain-dump
[09:22] whatever is on your mind and let Gemini do the rest.
[09:26] Let's see it in action with the demo from our product team.
[09:29] This is all in real time, not sped up.
[09:31] >> All right.
[09:36] Let's try this out.
[09:37] So I just remembered I'm doing an alumni
[09:39] talk for my high school's career day tomorrow,
[09:42] and I need to come up with some talking points
[09:44] to explain what I do for a living as a software engineer,
[09:46] but I'm not really sure where to start.
[09:50] Actually, can you pull my resume from Drive?
[09:53] Although that might be boring.
[09:56] Maybe can you come up with some funny analogies
[09:58] so it will be a more engaging talk for the students?
[10:01] And also, I think the school sent me an e-mail.
[10:04] I think the subject is something like "career day logistics."
[10:08] Maybe grab the details from there,
[10:10] throw them at the top of the Doc, so I know where to go
[10:12] and what time to get there.
[10:14] Let's update those requirements and turn this straight
[10:16] into a draft.
[10:18] [Applause]
[10:25] >> This is cool, but it's a little dense.
[10:28] Maybe format the analogies as a table,
[10:30] so it's a little easier for me to scan and also add a note
[10:33] to tell the story about how my brother inspired me
[10:35] to become a software engineer.
[10:37] Sort of at the top of my Doc and bold it so I don't miss it.
[10:39] [Applause]
[10:47] Yeah, that looks great.
[10:52] >> SUNDAR PICHAI: In the future, you'll be able to create new
[10:59] Docs and edit them directly all with your voice.
[11:03] Docs Live is rolling out for Pro and Ultra subscribers
[11:06] this summer and the same powerful voice
[11:08] capabilities will come to Gmail and Google Keep then, too.
[11:17] [Applause]
[11:17] Incredible to see the pace of innovation
[11:19] rolling out across our products.
[11:22] Supporting all of this at scale for our users, while also
[11:26] serving enterprises and developers around the world
[11:29] requires massive investments in infrastructure,
[11:32] and we've been investing for today and for the future.
[11:35] In 2022, we were spending $31 billion annually in capex.
[11:40] This year, we expect that number to be about six times
[11:43] that, approximately $180 to $190 billion.
[11:48] A key part of this investment is our custom silicon.
[11:52] A decade ago, we announced our very first commercial tensor
[11:56] processing unit or TPU on this I/O stage.
[12:00] Since then, we have transformed how the industry builds for AI.
[12:04] We recently announced our eighth generation of TPUs
[12:07] at Cloud Next.
[12:09] For the first time, we have taken a dual-chip approach with
[12:12] specialized architectures for training and inference:
[12:15] TPU 8t and 8i.
[12:17] While they may look similar, they're
[12:19] actually pretty different.
[12:20] 8t is optimized for large-scale pretraining,
[12:23] and it's nearly three times the raw computing power
[12:26] of our previous generation.
[12:28] And we've taken a fundamentally different approach
[12:31] with our training infrastructure.
[12:33] With JAX and Pathways, our training
[12:35] is no longer constrained by the limits of a single massive data
[12:39] center.
[12:39] Instead, we can now seamlessly distribute training
[12:43] across multiple sites, scaling across more than 1 million TPUs
[12:47] globally.
[12:48] This gives us the ability to create the largest training
[12:51] cluster in the world.
[12:53] For model builders, this means training
[12:56] larger, more capable models in weeks rather than months.
[13:00] TPU 8i is designed for inference.
[13:03] We have dramatically improved speed at every step,
[13:06] because if you learn anything in 27 years of working on Search,
[13:10] it's that latency matters.
[13:12] To give you a live sense of what the speed feels like,
[13:15] here's a Prompt on an upcoming Flash model if it were running
[13:20] on 8i.
[13:22] I'll is to create a Chrome Dino game, Push Summit.
[13:25] The response is generated in real time.
[13:29] As you watch, take a look at the tokens per second
[13:32] in the top right corner.
[13:34] The speed is pretty incredible, nearly 1,500 tokens per second.
[13:40] It almost took longer to write out the request,
[13:42] and the game is pretty fun, too.
[13:47] [Applause]
[13:52] In addition to speed, we're also thinking
[13:53] about scaling sustainably.
[13:55] Both chips are more energy efficient,
[13:57] delivering up to two times better performance per watt.
[14:02] TPUs have been hard at work training for I/O this year.
[14:06] I'm told we have a behind-the-scenes look.
[14:11] >> Hey, good weekend?
[14:22] >> Yeah.
[14:22] Just folded proteins across rare oncology data sets.
[14:26] You?
[14:26] >> Simulated the next 50 years of climate data.
[14:28] >> I made a picture of a pug.
[14:30] >> What?
[14:31] >> You ever a see pug dressed like an accountant?
[14:34] >> No.
[14:34] >> You wanna?
[14:38] >> All right, listen up TPUs.
[14:40] I/O is starting soon, and we got a job to do.
[14:43] Actually, we got trillions of jobs to do.
[14:45] So clear cache.
[14:46] Timmy!
[14:47] >> Huh?
[14:47] >> Dry your fans and let's fire it up.
[15:06] >> Hey, what are you doing?
[15:13] >> I'm doing the montage thing.
[15:15] >> Yeah, well, how about you montage your way down here
[15:18] and help out?
[15:19] >> What?
[15:20] Like now?
[15:22] All right, coming.
[15:26] >> SUNDAR PICHAI: I bet Timmy TPU will be ready to teraflop
[15:41] right into bed after I/O.
[15:44] Our compute innovations enable our advancements.
[15:47] There are three areas where I want
[15:49] to go deeper today to show you the progress in each:
[15:52] Models, coding, and agents.
[15:56] Let's start with the exciting progress in world models.
[15:59] With world models, AI is moving from predicting text
[16:03] to simulating reality.
[16:05] Demis and the team at Google DeepMind
[16:08] have been working to push the boundaries of what
[16:11] these models can do.
[16:12] Let me invite Demis out to share more.
[16:16] [Applause]
[16:18] >> DEMIS HASSABIS: Hi, everyone.
[16:28] It's really great to be here.
[16:30] Over the past year, AI capabilities
[16:33] have leaped forwards.
[16:34] We now have agents that can plan and act on our behalf.
[16:38] And artificial general intelligence
[16:40] is just a few years away.
[16:42] Today, I'm excited to share the progress
[16:45] we've made toward building AGI.
[16:47] Last year, I outlined our vision of extending
[16:50] Gemini's incredible multimodal capabilities
[16:53] to become a world model.
[16:55] AI that can understand and simulate the world.
[16:59] This is a crucial aspect of achieving AGI
[17:02] and will be important for everything
[17:04] from building AI assistants to training robots.
[17:09] Now, we're taking the next big step.
[17:11] I'm excited to announce Gemini Omni.
[17:15] [Applause]
[17:19] Our new model that can create anything from any input.
[17:23] It combines Gemini's intelligence
[17:26] with the best of our generative media models
[17:28] for a new level of world understanding, multimodality
[17:32] and editing.
[17:34] Models like Veo, Nano Banana and Genie
[17:36] are able to create extremely realistic videos, images
[17:40] and interactive simulations.
[17:42] Although not perfect, they already
[17:44] demonstrate some impressive notions of intuitive physics.
[17:48] And with Omni, we've now made even more progress.
[17:51] It's a step-change in simulating things like kinetic energy
[17:55] and gravity.
[17:56] Previous systems would have found these concepts difficult.
[18:00] Gemini's world knowledge and reasoning really shine in Omni.
[18:04] It can translate complex ideas into highly accurate videos.
[18:09] So, for example, you can give it a simple prompt like "make
[18:12] a claymation explainer of protein folding" and get this.
[18:15] >> Proteins start as chains of amino acids.
[18:18] They fold into patterns, like the alpha helix
[18:21] and flat sections called beta sheets
[18:23] forming a perfect three-dimensional shape.
[18:25] >> DEMIS HASSABIS: But the initial generation is just
[18:28] the start.
[18:29] The creative process is rarely a single step;
[18:32] it's usually iterative.
[18:33] Just like Nano Banana redefined image editing,
[18:37] Omni gives you a much more natural way
[18:38] to edit video with conversational language.
[18:42] What's really cool is you can give it your own videos --
[18:45] for example, this selfie -- and change reality in a really fun
[18:50] way.
[18:54] You can easily adjust the details and style,
[18:56] or even add elements.
[18:59] And the whole scene morphs to reflect your new idea.
[19:02] [Applause]
[19:08] A simple circle turns into a black hole
[19:10] or an evening stroll comes to life.
[19:12] Anything becomes a canvas for creating entirely new realities.
[19:17] Let's take a look at what Omni can do.
[19:42] >> DEMIS HASSABIS: We're starting with video,
[20:05] but over time, Omni will be able to generate any output from any
[20:09] input.
[20:10] This was always our goal with Gemini,
[20:12] and why we built it to be multimodal from the very start.
[20:16] It was a harder path but the foundation is now paying off.
[20:20] Today, we're launching the first model
[20:22] in the Omni family, Gemini Omni Flash.
[20:25] It's now available across our products,
[20:28] and you'll hear more about this later.
[20:30] We're excited about the progress we're making
[20:32] and we'll be sharing more about Omni Pro soon.
[20:36] We can't wait to see what you create.
[20:38] Back to you, Sundar.
[20:39] [Applause]
[20:40] >> SUNDAR PICHAI: Thanks, Demis.
[20:48] There's huge progress.
[20:50] As generative AI gets better, so does the need
[20:53] for greater transparency.
[20:55] Research shows people can correctly
[20:57] identify high-quality deepfake videos only
[21:01] about a quarter of the time.
[21:03] Three years ago, we launched SynthID, our watermark that
[21:06] is invisible to the naked eye.
[21:08] Since launch, SynthID has now watermarked 100 billion images
[21:13] and videos, along with 60,000 years of audio assets.
[21:18] Millions of people are using our SynthID Detector
[21:20] in the Gemini app to verify AI-generated content.
[21:24] And now, we are going a step further
[21:27] and adding Content Credentials Verification across products.
[21:32] This will show you if the origin of the content
[21:35] was AI or a camera, and if it has been edited
[21:38] with generative AI tools.
[21:40] In this example, Gemini can tell this photo was
[21:44] captured with a Pixel camera and then edited with Google Photos.
[21:49] We want more people to have easy access to these tools.
[21:53] So we are expanding both SynthID and Content Credentials
[21:56] Verification to Search and Chrome.
[22:00] [Applause]
[22:05] You can simply circle to search or right-click in Chrome and ask
[22:09] "was this generated with AI?"
[22:11] And you'll get a clear response along
[22:13] with other helpful context.
[22:15] For example, this image was making the rounds
[22:18] on social media last year.
[22:20] [Laughter]
[22:21] It's obviously fake.
[22:23] I don't eat hamburgers.
[22:26] It might not be as clear to everyone else.
[22:28] That's where these tools can be really useful.
[22:32] Of course, this only works at scale
[22:34] if more partners decide to watermark
[22:36] their own AI-generated content.
[22:39] NVIDIA signed on to SynthID last year.
[22:42] And today, I'm thrilled to announce
[22:44] that Open AI, Kakao and Eleven Labs are adopting SynthID, too.
[22:48] [Applause]
[22:55] It's great to see the cross-industry collaboration.
[22:58] And we're looking forward to expanding to more partners
[23:01] and setting the standard for transparency for the AI era.
[23:05] That's a look at the progress we are making with World Models.
[23:09] Now, let's talk about what's next for our Gemini 3 Family.
[23:13] Gemini 3 launched a few months ago
[23:15] with a full family of models.
[23:17] It's been our most adopted series yet.
[23:20] We have loved seeing developers use Flash as a daily driver
[23:24] and build incredible experiences with Pro's deep reasoning
[23:27] and multimodal capabilities.
[23:29] We've been hard at work on improving
[23:31] these models, especially focused on agentic coding,
[23:35] long-horizon tasks and real-world workflows.
[23:40] And today, I'm excited to introduce Gemini 3.5
[23:43] Flash, our first in a series of models combining frontier
[23:51] intelligence with action.
[23:52] Two things I would highlight.
[23:54] First, when compared to 3.1 Pro Flash
[23:58] is better across the board in almost all benchmarks.
[24:02] It's made huge progress in coding,
[24:04] and look at that extraordinary jump in GDP
[24:07] val a benchmark that captures many real-world economically
[24:11] valuable tasks.
[24:13] Second, 3.5 Flash is a very capable model,
[24:17] at the frontier and comparable to the best models,
[24:20] but much faster, which is why when
[24:23] you look at the intelligence versus output speed,
[24:26] it's in a league of its own in the top right quadrant.
[24:30] When looking at output tokens per second,
[24:33] it's four times faster than other frontier models,
[24:36] and it's an incredible delight to use.
[24:39] The new model has been a game-changer for us
[24:41] internally at Google.
[24:42] We've been using 3.5 Flash with the reimagined version
[24:46] of our agent-first development platform, Antigravity.
[24:50] And it's dramatically accelerated how we build.
[24:53] In March, we were processing half a trillion tokens a day
[24:57] internally for our developers.
[24:59] We've been doubling every few weeks.
[25:02] And now, we are processing more than 3 trillion tokens a day.
[25:06] That scale has created a powerful feedback loop, which
[25:09] is helping us improve 3.5.
[25:13] And, of course, we are bringing it today
[25:14] to developers in Antigravity.
[25:16] Varun is going to share more.
[25:20] [Applause]
[25:20] >> VARUN MOHAN: It's truly an amazing time to be a builder.
[25:29] We've moved beyond AI tools that help us write, to agents
[25:32] that help us act.
[25:34] These agents have lowered the barrier to development
[25:36] so much that anyone can be a builder, even busy CEOs.
[25:41] In fact, Sundar used Google Antigravity last week
[25:44] to fix a bug in the Google codebase.
[25:49] When we launched the Antigravity IDE in November,
[25:51] we made sure to nail the core agent-powered IDE experience
[25:55] and added an experimental first-of-its-kind agent
[25:58] for Surface as a glimpse of where we are heading.
[26:02] Millions of you already use Antigravity,
[26:05] and so we're excited to bring you even more today.
[26:08] We've seen the diversity of tasks, preferences and, frankly,
[26:11] product feedback, and we've taken all of these learnings,
[26:14] and now, Antigravity is massively
[26:17] expanding its suite of agentic capabilities, surfaces,
[26:21] integration, and product features.
[26:24] To start, we're launching a full CLI experience: an Antigravity
[26:29] SDK, native voice support with Gemini audio models
[26:33] and integration with many surfaces and platforms,
[26:36] like Android, Firebase, and Google AI Studio.
[26:42] [Applause]
[26:47] All of this is available for you to try today.
[26:50] Most importantly, at the core is Antigravity 2.0,
[26:55] a new stand-alone desktop application
[26:57] that delivers fully on that original glimpse of a truly
[27:01] agent-optimized experience.
[27:04] The new Antigravity is unabashedly agent first,
[27:07] focusing on the core agent conversation,
[27:10] agent-produced artifacts and multi-agent orchestration.
[27:14] LIKE I SAID: Unabashedly agent first.
[27:18] As Sundar mentioned, this is the exact experience
[27:20] teams here at Google have been using to drive massive value.
[27:24] The Antigravity Agent Harness, the invisible framework
[27:27] for Gemini to perform real-world tasks,
[27:29] has become much more powerful with new core primitives,
[27:33] such as subagents, hooks, and asynchronous task management.
[27:38] And underpinning all of this are the Gemini models,
[27:40] with Gemini 3.5 Flash having been co-optimized
[27:44] with the Antigravity Harness.
[27:47] Of course, being engineers, we were
[27:50] curious to see how far we could push
[27:51] the limits of what was possible with these agents and models.
[27:55] So using the new Antigravity and Gemini 3.5 Flash,
[27:59] we asked our agents to take on what
[28:00] we consider to be a highly complex and impressive task:
[28:04] Build a working operating system from scratch.
[28:08] We were surprised by what we found.
[28:10] Asynchronously, Antigravity broke down the challenge
[28:13] into a cohesive plan, tackled tasks via parallel subagents,
[28:17] generated, executed, and iterated over
[28:20] its very own tests.
[28:21] Over 12 hours, 93 subagents working in parallel made over
[28:27] 15,000 model requests and processed 2.6 billion tokens
[28:31] to take an initially empty project to the core
[28:35] of a functioning operating system.
[28:38] [Applause]
[28:46] This was not possible on Gemini 3.1 Pro,
[28:49] but thanks to the performance and cost efficiencies of Gemini
[28:53] 3.5 Flash, building an entirely functional operating system
[28:57] consumed less than $1,000 of API credits.
[29:02] [Applause]
[29:08] The Antigravity agents wrote every line of code
[29:11] from the scheduler to the memory management to the file system;
[29:15] generated, audited and tested entirely
[29:18] by an autonomous team of agents.
[29:20] To put this in context, developing an OS from scratch
[29:24] is notoriously brutal and can take many months to build.
[29:28] We weren't just building an application,
[29:30] but a functioning operating system
[29:32] that applications can run on.
[29:34] Let's take this live and actually show
[29:35] the operating system in action.
[29:39] So here, I'm actually in a terminal window in the OS
[29:42] that Antigravity built. It's not super easy to demo a working
[29:45] operating system so let's try something fun
[29:47] to see if it works.
[29:49] One of the interesting utilities you can install
[29:51] is SL, a common typo for LS.
[29:54] Without spoiling it, here it goes.
[29:56] It works.
[30:01] You could see a cool locomotive passing
[30:03] through the screen with the Antigravity logo on it.
[30:06] But clearly, this isn't a real OS unless I can play Doom.
[30:14] So I try running Doom right now, it just doesn't work.
[30:17] Turns out that this is missing some necessary video
[30:21] and keyboard drivers.
[30:22] So let's just try to fix it in the new Antigravity.
[30:24] I have a prompt prepared and I'm going to paste it in.
[30:30] While it's running, let's take a tour in Antigravity 2.0.
[30:33] As you can see, Antigravity 2.0 is fully
[30:36] agent first with all the agent conversations on the side
[30:40] and all the projects, as well.
[30:41] Let's take a quick peek at one of the conversations
[30:43] I previously had.
[30:44] I was curious for this demo about some fun facts about Doom.
[30:49] So I asked the agent to do some research.
[30:51] It generated and plots on the right side of the panel
[30:54] and then finally, it also generated a cool artifact
[30:57] for me.
[30:58] It even generated an infographic using Nano Banana Pro,
[31:01] it generated some graphs using some code it just wrote,
[31:05] and then afterwards, it generated some cool tables.
[31:08] As you can see, Antigravity 2.0 is
[31:11] unabashedly agent first and Has been
[31:13] optimized to be the best surface for you to interact with agents.
[31:18] Let's take a look at the previous conversation
[31:20] to see how it's going.
[31:22] Antigravity ended up doing a whole host of research, ended up
[31:26] writing over 100 lines of code and then
[31:28] finally the built the operating system.
[31:30] Let's take a peek and see if it works.
[31:32] Moment of truth.
[31:35] Amazing.
[31:37] [Applause]
[31:44] That never gets old.
[31:48] While playing Doom on an operating system
[31:50] that Antigravity built is both fun and impressive,
[31:52] it hasn't stopped there.
[31:54] We've tasked the agents to build a photo editing
[31:57] suite, a realtime messaging app and a multiuser collaboration
[32:00] platform, all with the same results.
[32:03] Multiday engineering efforts are collapsing
[32:06] into hours, if not minutes.
[32:09] This was made possible by the new subagent teamwork
[32:12] capability.
[32:13] We're excited to bring this to you as an early research
[32:15] preview in Antigravity.
[32:18] [Applause]
[32:24] Last but not least, 3.5 Flash is incredibly fast.
[32:29] Like Sundar said, it's four times faster than other frontier
[32:32] models, but, as we know, agentic coding is a token monster.
[32:36] So we've taken it to another level in Antigravity.
[32:39] We've optimized Flash to be not just four times,
[32:42] but 12 times faster in Antigravity.
[32:47] [Applause]
[32:51] And we're thrilled to give you all a taste of this experience,
[32:54] starting today.
[32:56] What we showed you today isn't just a vision;
[32:58] it's how we're building Antigravity
[33:00] to be the most complete agentic development
[33:03] platform for everyone.
[33:05] We're doing it with the Google ecosystem,
[33:07] whether it's integrating the tech stacks and tools that you
[33:10] already use or using Antigravity's Agent
[33:13] Harness to power the next crop of agentic experiences
[33:16] across Google products.
[33:18] Today, Antigravity 2.0 is available globally for everyone.
[33:24] Join us in the Developer Keynote as we
[33:25] demo all the new capabilities.
[33:27] Back to you, Sundar.
[33:28] [Applause]
[33:29] >> SUNDAR PICHAI: Thanks, Varun.
[33:35] It's incredible that Varun's entire OS
[33:37] was built by a team of subagents in just 12 hours
[33:41] for such a low cost.
[33:43] What's amazing about Flash is how
[33:45] it delivers frontier-level capabilities
[33:47] at less than half the price of comparable frontier models.
[33:51] We've heard that many companies are already
[33:53] blowing through their annual token budgets,
[33:55] and it's only May.
[33:57] If companies used a mix of Flash and other frontier models,
[34:00] they could save a lot of money.
[34:01] To put this in perspective, the top companies in Google Cloud
[34:06] are processing about 1 trillion tokens a day.
[34:10] If they shifted 80% of their workloads
[34:12] from other frontier models to 3.5 Flash,
[34:15] they would save over $1 billion annually.
[34:19] Real savings they can pour back into their company.
[34:22] Gemini 3.5 Flash is available for everyone today,
[34:26] across our products, and APIs.
[34:28] [Applause]
[34:35] We're also very excited for 3.5 Pro.
[34:38] We are using it internally.
[34:39] It's showing great improvements.
[34:41] I know you can't wait to get your hands on it.
[34:44] Give us until next month to get it to you.
[34:47] Gemini 3.5 and Antigravity are unlocking a new world of agents,
[34:52] and agentic capabilities.
[34:55] We've been bringing agents to developers and enterprises
[34:58] for a while.
[34:59] And now, we are super focused on bringing the power of agents,
[35:03] safely and securely, to consumers, so
[35:06] that they work for everyone.
[35:08] You will see many agentic experiences
[35:10] across many of our products today.
[35:12] I'm particularly excited for what we are bringing right
[35:16] into the Gemini app.
[35:18] Introducing Gemini Spark.
[35:21] [Applause]
[35:27] It's your personal AI agent that helps
[35:30] you navigate your digital life, taking action on your behalf
[35:34] and under your direction.
[35:37] It runs on dedicated virtual machines on Google Cloud,
[35:40] and it is 24/7.
[35:42] And yes, you can close your laptop.
[35:47] [Applause]
[35:49] It's powered by Gemini 3.5, and the Google Antigravity Harness,
[35:54] which allows it to perform long-running tasks easily
[35:58] in the background.
[35:59] Spark integrates seamlessly with tools, starting with our own,
[36:04] and in the coming weeks, with third-party tools through MCP.
[36:08] And you can work with Spark however
[36:10] is most convenient, in the Gemini app
[36:13] or soon through e-mail and chat.
[36:16] Let's have Josh come up and share more.
[36:23] [Applause]
[36:23] >> JOSH WOODWARD: Thanks, Sundar.
[36:27] It's great to see everyone and let me show you
[36:29] how Spark works with some examples from my personal life.
[36:33] So here we are, we have the new Gemini open,
[36:36] it's been completely redesigned.
[36:37] We'll talk about that later in the show,
[36:39] and I want take you into Spark here
[36:42] and what you can see immediately is
[36:44] a dashboard with all the different tasks
[36:46] that I have going on in the background.
[36:48] It allows you to check in on these things,
[36:50] and I'll paste in a task right off the bat.
[36:53] This is a pretty straightforward example, but it's so useful.
[36:57] Help me draft an e-mail to the team,
[36:58] compile everything about our recent Gemini
[37:01] live launches and wins from the last week.
[37:04] Use slash ghost writer so there's
[37:06] a few things happening here.
[37:08] Compile everything.
[37:09] This goes across Docs, e-mail, your chats
[37:13] and grabs the most important information
[37:15] that you need for this update.
[37:17] It also is going to use all of the stuff you
[37:21] see in the time period of the last week
[37:23] with the slash ghost writer.
[37:25] That's a personal skill that I've written
[37:27] so the e-mail sounds like me.
[37:29] And what's great is that with Spark, you
[37:31] can upload your favorite skills you find online.
[37:34] So we're going to let this run in the background.
[37:36] You can see it's already started doing various tool calls,
[37:39] and I'm going to switch over to another one
[37:41] from our personal life.
[37:43] We're planning a big block party, and you can see here,
[37:46] this is a pretty complex prompt.
[37:47] We want help grabbing all the RSVPs,
[37:49] keep a list of who's bringing what,
[37:53] remember to e-mail those neighbors who
[37:54] haven't signed up yet.
[37:56] And what's amazing here is Spark will go through, step by step,
[38:01] look at all these steps, all the time it saves you going through
[38:05] and again work across the various skills and apps
[38:08] that you have.
[38:09] And what's really amazing is it will break it down and also be
[38:12] able to generate files for you.
[38:14] So the first one here, this is a live RSVP tracker,
[38:18] right in Google Sheets.
[38:19] You can see that it shows who's confirmed and who hasn't.
[38:22] What's amazing about this is it will actually update,
[38:25] because it's connected to Gmail.
[38:27] So in L. Thompson, row 8 RSVPs, it
[38:30] will update, which is pretty amazing.
[38:33] The other thing is it keeps track
[38:35] of all the different guests, as well as sending follow-up
[38:38] reminders to who hasn't signed up yet.
[38:41] So again, this will happen.
[38:43] It will create the drafts and under my control,
[38:45] I can send them.
[38:47] And then finally what the prompt did
[38:48] is it created a hype deck for the block party
[38:51] and you can see it creates right in Google
[38:53] Slides, perfectly integrated and you
[38:55] can see it even pulls in things like our giant bounce house
[38:58] that's going to be in the cul-de-sac.
[39:00] Now, all of this is happening in the background
[39:03] and under my control.
[39:05] And what's amazing is Gemini can even go a step further and pull
[39:08] out things like your neighborhood homeowners
[39:11] association won't let you set this up before Friday afternoon
[39:15] on June 5th.
[39:16] That's pulling from a file in my Google Drive.
[39:18] So it's incredibly helpful about how it pulls it all together.
[39:22] Now, that's Spark working on a laptop.
[39:25] Spark is also amazing on the go, and it works
[39:29] across both Android and iPhone.
[39:31] So here you can see on my phone here I'll open it up,
[39:34] and I can go into Spark.
[39:35] You see both of the tasks we just
[39:37] went through, they sync across all of your devices,
[39:39] which is so helpful and Spark is just
[39:42] amazing at brain-dumping things on your mind.
[39:45] If you're super busy, it's almost,
[39:47] you can just throw tasks over your shoulder.
[39:50] Spark will catch them and then run with them.
[39:52] So watch this.
[39:55] Start a few threads for me.
[39:56] The first one, find all the upcoming meetings with Sundar
[39:59] and turn them all hot pink so I don't miss them.
[40:03] The second one last night, I met our new neighbor, John.
[40:05] Write a note to him and his him and his family,
[40:07] invite them to our block party, because they weren't on our list
[40:10] originally.
[40:11] The third one, create a document with the top things
[40:14] my wife and I need to do for the kids
[40:15] before the end of the school year,
[40:17] categorize it by deadline and priority,
[40:20] and make it easy to digest.
[40:21] I don't want to miss anything.
[40:24] All right.
[40:25] We'll send that in.
[40:26] And you can see at the speed of my voice,
[40:28] it's taking that one task, and it
[40:31] will capture all of that context as fast as I can talk.
[40:35] It starts out as a single thread here and in the background
[40:37] it's actually going to go through and break down those
[40:40] into individual tasks.
[40:41] Now, I can just put my phone away and get on with my day.
[40:45] And Spark works in the background for me.
[40:48] We'll check in later and see how it's doing.
[40:57] You can see this is one of the first times we've
[40:59] been able to put a phone down and let it
[41:00] keep working on the I/O stage.
[41:02] It's great.
[41:03] Because we're prioritizing safety,
[41:05] we're rolling out Gemini Spark deliberately,
[41:08] to trusted testers, this week, and as a beta for U.S. Google AI
[41:13] Ultra subscribers next week.
[41:15] We want this new type of help to be in as many hands as possible,
[41:20] so to do that, we're introducing a new Ultra plan for $100
[41:25] a month.
[41:26] [Applause]
[41:32] And for those of you that need maximum limits,
[41:34] we're dropping the price for our top tier Ultra plan
[41:38] from $250 a month to $200 a month.
[41:45] And there's so much more to come.
[41:46] Later, this summer, Gemini Spark will operate directly
[41:50] within Chrome, acting as your agentic browser across the web.
[41:54] It can take action on your tasks under your direction.
[41:59] We're also building a dedicated home base for your agents
[42:02] on your phone, Android Halo, which is coming later this year.
[42:07] As Sundar said, we've entered a new agentic era across Google,
[42:11] and we can't wait to see what you're going to build with it.
[42:14] Back to you, Sundar.
[42:15] [Applause]
[42:16] >> SUNDAR PICHAI: Thanks, Josh.
[42:23] So great to see Gemini Spark getting
[42:24] things done on your behalf.
[42:26] I've played around with all sorts of agents
[42:28] and you can really see the potential.
[42:30] Still early days when it comes to making agents easy to use,
[42:35] super secure, and truly helpful.
[42:37] That's why I'm really excited by Gemini Spark.
[42:40] We are laying the foundation to bring this
[42:42] all together in a safe and secure way to consumers
[42:45] everywhere.
[42:46] We look forward to having you all try it.
[42:49] We are firmly in our agentic Gemini era.
[42:52] Gemini Spark is the first experience you're seeing,
[42:55] made possible by 3.5 models and Antigravity.
[42:59] This combination gives us new ways to actuate our mission
[43:04] and transform our products to be radically more helpful.
[43:08] I can't wait to see how it will transform
[43:11] Search, our ultimate moonshot.
[43:13] This past year has proven just how much innovation is possible
[43:19] right at the heart of our information mission.
[43:21] As we enter this agentic era, Search
[43:24] will be more helpful and powerful than ever before.
[43:28] Let me turn it over to Liz to share what's next.
[43:32] [Applause]
[43:33] >> LIZ REID: People bring billions of questions to Search
[43:45] every day.
[43:46] Now sometimes, the whole world is searching for the same thing;
[43:50] but more often, your questions are just as unique as you are.
[43:55] That's why we set out to make it possible to ask whatever
[43:58] is really on your mind.
[44:01] To unlock this, we've been on a journey
[44:03] to bring together the best of a search engine
[44:05] with the best of AI.
[44:07] We started this transformation with AI Overview.
[44:10] And if you can believe it, it was just last year on this stage
[44:14] that we launched AI Mode.
[44:16] It's our most powerful AI Search,
[44:18] bringing in our most advanced Gemini models.
[44:21] And as of today, we're upgrading it on Gemini 3.5.
[44:25] [Applause]
[44:31] Now, as Sundar mentioned, AI Mode
[44:33] has surpassed more than 1 billion monthly users,
[44:36] and we're seeing phenomenal growth,
[44:38] with AI Mode queries more than doubling
[44:41] every quarter since launch.
[44:43] As people have learned how much more Search can do,
[44:46] they started bringing more questions,
[44:48] so much so that last quarter, we saw Search queries
[44:52] reach an all-time high.
[44:54] But what's even more remarkable:
[44:56] You're asking your real questions
[44:58] in all their super specific detailed glory,
[45:01] knowing Search can really tackle them.
[45:04] You're having real conversations with Search, going
[45:07] back and forth, and deeper.
[45:09] So you're not just asking nearby hikes.
[45:12] You're asking can you build an itinerary for hiking day
[45:15] trip near me with great views and dog friendly trails,
[45:18] and a lunch spot with convenient parking?
[45:22] And now, we're entering the next chapter of Google Search, where
[45:25] incredible AI features aren't just in Search;
[45:28] Google Search is AI Search through and through.
[45:32] Now, it's an AI Search that brings to figure out
[45:34] our most advanced Gemini models, our newest agentic capabilities,
[45:39] and the full breadth of the world's information.
[45:42] With over 1 billion facts updated
[45:44] a minute, billions of new web pages indexed every day,
[45:47] and connections to an infinite range of human perspectives.
[45:53] So whatever is on your mind, you can come to Google
[45:55] and truly ask anything.
[45:59] Now, to start, I'm excited to announce
[46:01] we're launching a brand-new intelligent Search box.
[46:05] Before, the Search box was a contained space,
[46:07] but now, it's totally reimagined with AI.
[46:10] It expands with your curiosity.
[46:13] As you ask, Search helps you formulate your question
[46:17] with AI-powered suggestions.
[46:20] This goes beyond autocomplete.
[46:22] It offers nuances that you might not have even thought to add,
[46:25] helping you take the exact question on your mind
[46:28] and ask it with ease.
[46:31] This new Search box puts our most powerful AI tools right
[46:34] at your fingertips.
[46:35] And you can ask across modalities with text, images,
[46:38] files, and videos, and Search reasons across them all.
[46:43] This is the biggest upgrade to our iconic Search box
[46:46] since its debut over 25 years ago.
[46:48] And it's starting to roll out today.
[46:51] [Applause]
[46:58] Next, we're making it even easier
[46:59] to continue the conversation with Search, bringing
[47:02] AI Overviews and AI Mode into one seamless AI Search
[47:05] experience.
[47:07] You can float effortlessly from your question
[47:09] to your response on the main Search results page,
[47:12] to follow-ups in AI Mode.
[47:13] Your context stays with you and your conversation gets deeper.
[47:17] Your links and sources get even more relevant
[47:20] to what you might want to explore,
[47:22] so you continue to get the best of AI and the best of the Web.
[47:27] And I'm excited to share this new seamless AI Search
[47:29] experience is live today, across desktop and mobile worldwide.
[47:33] [Applause]
[47:41] Next, you just heard Sundar and Josh share our approach
[47:43] to agents and the potential that this can open up.
[47:46] Now, we're taking an exciting step
[47:48] toward this vision, where you'll be able to create and manage
[47:51] multiple AI agents for your many tasks, right in Search.
[47:56] We're entering the era of Search agents.
[47:58] Now to start, you can set information agents to work
[48:02] for you 24/7 in the background.
[48:05] They can find you exactly what you need,
[48:07] exactly when you need it, and help you take action.
[48:11] You can spin up multiple agents in Search simultaneously,
[48:14] so you can get updated and make progress on all the things
[48:17] that matter to you.
[48:19] And these will work with and alongside Gemini Spark
[48:21] to help you get more done, so let's put a few to work.
[48:25] Say you're really into finance, and you
[48:27] want to know more about big biotech stocks with P/E
[48:30] under 15, positive cash flow and low debt, right when it matters.
[48:35] Now, you can just ask all of that and your agent is off.
[48:39] It takes your super complex question and map out a plan.
[48:44] It determines the urgency, getting that you really
[48:46] need in-the-moment intel, and it sets
[48:49] triggers to look out for information as it
[48:50] changes, and picks the tools and data hooks it needs for the job.
[48:55] It connects directly to our realtime finance data so you get
[48:58] up-to-the-second updates on stock prices and insights
[49:02] on the market, the moment it moves.
[49:05] Now, when it does, your agent sends you
[49:07] an intelligent and synthesized update.
[49:10] It helps you understand what's going on so you can separate
[49:12] the signal from the noise.
[49:15] And it points you to hyper-relevant content,
[49:17] like this crowdsourced research platform, news site and social.
[49:22] This helps websites and creators get fresh content discovered
[49:25] by people who really care about it, when
[49:28] it matters most to them.
[49:31] Now, let's say you're apartment hunting.
[49:32] You can do a total brain-dump of what you're looking for,
[49:35] with all your criteria like location and natural light
[49:39] and availability, and your agent continuously
[49:42] scans the entire web, across sites, social, and forums.
[49:46] Or if you're a sneaker fan, you can just
[49:48] ask to be updated when any of your favorite athletes
[49:50] announce sneaker collabs or drops.
[49:53] And it monitors everything from blogs to our Shopping Graph
[49:56] so you don't miss out.
[49:59] You'll be able to put information agents
[50:01] to work for you this summer.
[50:02] Just ask Search to keep you updated on whatever
[50:05] you want to know.
[50:08] Now, information agents are among the first
[50:10] of many agents we're introducing in Search to make
[50:13] it more helpful for you.
[50:15] So whether you want to find it, or check it, book it, buy it
[50:18] or more, Search will be able to get it done.
[50:23] Now, we're also bringing agentic coding
[50:25] to Search so it can build you custom experiences just
[50:28] for your questions.
[50:29] To show you how this works, here's Robby.
[50:42] [Applause]
[50:42] >> ROBBY STEIN: We believe the best version of Search is one
[50:47] created just for you.
[50:49] It's a Search that gives you information
[50:51] in the most helpful format for your question.
[50:55] And we've spent years perfecting this.
[50:58] So if you're shopping, we give you products.
[51:01] Asking about data, you see charts.
[51:05] Looking for inspiration, you get beautiful visuals.
[51:10] Now, we're taking this to a whole new level.
[51:14] We're bringing Antigravity and the agentic coding
[51:17] capabilities of Gemini 3.5 Flash right into Search.
[51:22] So Search can build you the ideal format
[51:25] exactly for your question, completely custom on the fly.
[51:31] We're talking dynamic layouts, interactive widgets,
[51:34] entire experiences, all created just for you.
[51:39] This is agentic coding at the scale of Search.
[51:46] [Applause]
[51:46] Let me give you an example.
[51:52] Say I'm a college student trying to wrap
[51:54] my mind around astrophysics.
[51:55] I can go to Search and just ask how do black holes affect
[51:59] space-time?
[52:00] And check this out.
[52:01] I get an interactive visual right in the AI Overview.
[52:04] Search now gets that for a concept this complex,
[52:07] I need to interact with it to really understand it.
[52:11] This is still kind of 101, so I'm going to follow up.
[52:15] Show me how two orbiting objects like binary black holes
[52:19] create gravitational waves.
[52:21] Search dynamically builds a brand-new interactive visual
[52:26] in real time completely custom for my specific question.
[52:30] [Applause]
[52:36] And now, I can play with parameters now
[52:38] like orbital separation, and the mass ratio, and it's so cool.
[52:42] I can see we how wave patterns have changed,
[52:44] and now, the smaller black hole spirals around the bigger one.
[52:48] And now that I get the basics, I can dive into these resources
[52:52] here and read things like the LIGO Discovery Papers
[52:55] to learn more.
[52:57] Now, you might be wondering how can Search actually
[53:00] build custom UI like this for billions of unique questions?
[53:05] With Gemini 3.5 Flash, Search plans the ideal response
[53:10] from scratch.
[53:11] It designs the layout, decides what custom components to build,
[53:15] fans out to research and then finally deploys the code.
[53:19] To build custom components in the response like this,
[53:22] Search invokes an agentic coding harness powered by Antigravity,
[53:27] so it can read and write files and execute code
[53:30] in a secure, containerized environment.
[53:33] This is the tech you saw Varun build a whole OS with,
[53:37] and we're bringing that power right into Search.
[53:41] Generative UI with Antigravity is rolling out
[53:44] to Search this summer, for everyone, free of charge.
[53:48] [Applause]
[53:54] So whatever you want to understand,
[53:56] whether you're wondering how your watch actually
[53:58] works, analyzing the cost of a new commute, or so much more,
[54:02] you'll get responses as unique as your questions.
[54:07] Now, let's take this a step further.
[54:09] Some projects aren't one-off questions;
[54:11] they're ongoing tasks.
[54:13] So now, Search has the ability to help you build entire custom
[54:18] stateful experiences: Tools, trackers, dashboards.
[54:23] I think of these sort of like building my own little mini
[54:26] apps in Search, and I've been making a ton of them,
[54:29] and they're especially awesome for those long-running tasks
[54:32] where you want to keep coming back, like planning a wedding,
[54:35] or managing your home move.
[54:37] So what do you think?
[54:38] Should we build one together?
[54:40] Yeah?
[54:41] [Applause]
[54:42] All right.
[54:43] Let's do a demo.
[54:45] So I'm constantly trying to figure out
[54:47] on Thursday what it is I should do with my family every weekend.
[54:51] So here's the search I actually just did about fun things
[54:54] to do with my family this weekend and, of course,
[54:56] you have a great response here from AI Mode,
[54:59] but here's something new.
[55:01] Search proactively offers to build a weekend planner for me
[55:04] and similar to how you just saw Search create these generative
[55:07] UI and interactive visuals completely from scratch,
[55:10] Search can code this up right now.
[55:13] Let's do it.
[55:16] So for the sake of today's demo, we
[55:18] thought you might want to see a peek under the hood
[55:20] so as this builds, you're going to see realtime thinking steps
[55:23] and code generation flowing in.
[55:25] And here, Search is thinking about the right components
[55:28] to build, not just what information to fetch,
[55:30] but the best way to present it, and I've
[55:33] chosen to securely connect Gmail, Photos and Calendar
[55:36] so it's using Personal Intelligence to make
[55:38] my suggestions even more helpful.
[55:40] That means referencing Gmail receipts, Calendar and much more
[55:43] to personalize.
[55:44] And boom, there it is.
[55:45] It looks like it's ready.
[55:48] All right.
[55:48] It's got a beautiful planner, already taken into account
[55:51] driving times and weather.
[55:53] And Search knows that I have two kids.
[55:56] And that they love animals and that my oldest
[55:58] is learning to play chess.
[55:59] So actually this second one here is kind of awesome for my oldest
[56:02] so I'm going to go ahead and heart that.
[56:05] But, you know, two kids, got to make them both happy
[56:09] so I'm going to lock in the Happy Hollow Park & Zoo right
[56:12] there.
[56:13] And because this syncs with my calendar,
[56:15] you can see it's already blocked off
[56:17] my afternoon to meet a friend to watch this game down here.
[56:21] And below it's got all of these cool restaurant reservations
[56:23] and beautifully laid out on Maps.
[56:26] Now having seen this agents, I kind of
[56:28] want the Madam President to be higher up, and also, my wife,
[56:31] and I try to do Friday date nights.
[56:33] So I'm going to keep customizing this and just
[56:36] for the sake of speed, I'm going to paste in here one
[56:39] more question to add Friday night date each week
[56:42] and move it to the top.
[56:44] And just like before, it's thinking through what's
[56:46] needed to adjust the Planner, looking up realtime information,
[56:49] even checking my preferences again.
[56:50] Wow.
[56:51] It was so fast.
[56:52] So it's able to use all kinds of information
[56:54] from Google to build this on the fly
[56:57] and now, you can see the map right at the top, and Friday
[57:01] date night tab, right here.
[57:04] So I can scroll down, I can see all
[57:06] of these really great places, after the baby-sitter arrives,
[57:08] here's some awesome restaurants.
[57:10] I'll go ahead and select it, and we're ready to go.
[57:12] Now, a weekend plan is not complete
[57:15] until I get my wife Danielle's seal of approval
[57:18] so I can share this app with her, which
[57:21] I'm going to do right here.
[57:23] And copy it.
[57:25] Okay.
[57:25] And now, I'm actually going to pull it up on a phone.
[57:27] When I send this to her this is exactly what she's
[57:29] going to see on her phone.
[57:30] All right.
[57:38] So Danielle is in, but it also looks
[57:41] like she might have some feedback for me when I get home,
[57:43] but we're going to deal with that kind of a little bit later.
[57:46] So all I have to do is add this to my Calendar.
[57:50] Search will add it to all of our family calendars,
[57:52] and we're ready to go and next weekend I'll
[57:53] be able to come back and plan a whole new weekend with my family
[57:56] just like this.
[57:58] So we're bringing Antigravity into Search,
[58:00] so you'll get generative UI this summer.
[58:03] Starting with subscribers, you'll
[58:05] be able to custom-build experiences
[58:06] just like this in the coming months.
[58:10] [Applause]
[58:17] From Search agents to agentic coding,
[58:19] this is an AI Search that does more for you,
[58:22] whatever your question.
[58:24] Agentic capabilities are going to transform
[58:26] all the ways you use Search, including how you shop.
[58:29] To tell you more, here's Vidhya.
[58:42] [Applause]
[58:43] >> VIDHYA SRINIVASAN: With incredible advancements in AI,
[58:47] we are entering a whole new era.
[58:51] We've been building the foundation for agentic commerce,
[58:54] and now, we're bringing that future right to you.
[58:58] People shop across Google over a billion times a day,
[59:02] and for years, we've connected you with brands and retailers
[59:07] to help you get exactly what you're looking for.
[59:10] It starts with our Shopping Graph,
[59:12] the world's most comprehensive catalog of products.
[59:15] It now has over 60 billion listings
[59:18] and they are constantly updated.
[59:20] Combine that, the scale of the Shopping Graph,
[59:23] with our most advanced Gemini models
[59:25] and you get entirely new ways to shop.
[59:27] More powerful, more intelligent, and more fun!
[59:32] Now, when it comes to agentic commerce,
[59:35] we are focused on delivering three key building blocks
[59:39] to make this future a reality.
[59:41] First, the Universal Commerce Protocol, or UCP for short.
[59:47] UCP does for agentic commerce what HTTP did for the web:
[59:52] It gives agents and systems a common language.
[59:56] It's an open-source standard that
[59:59] allows all of the key players to work across the entire shopping
[60:03] journey.
[60:04] That means it makes everything from product research
[60:08] to checkout to shipment tracking totally seamless.
[60:12] And we've been thrilled to see the entire industry
[60:15] rally behind it.
[60:16] We co-developed and launched UCP with an incredible group
[60:20] of founding partners, and recently
[60:23] welcomed Amazon, Meta, Microsoft, Salesforce,
[60:29] and Stripe.
[60:29] [Applause]
[60:36] They're going to help continue steering this open standard.
[60:41] It may just be the first time we've all agreed on something!
[60:47] And now, we are bringing UCP to even more verticals,
[60:50] like hotels and local food delivery providers
[60:55] and to YouTube and more products.
[60:58] We are also expanding UCP-powered experiences
[61:01] on Google products to more regions,
[61:03] like Canada, Australia, and the U.K. in the coming months.
[61:10] This brings us to our second building block:
[61:13] The agent payments protocol or AP2.
[61:17] So when it comes to agentic payments,
[61:19] the number one question we hear is,
[61:22] "how do I know it won't just go off and buy something I
[61:26] don't want?"
[61:27] Motorcycle anyone?
[61:30] It's a fair question, and it's why we created AP2.
[61:33] It's designed so your AI agent can securely
[61:37] make payments on your behalf, but always under your control.
[61:42] For us, it comes down to two things:
[61:44] Setting boundaries and ensuring accountability.
[61:48] First, let's talk about boundaries.
[61:51] We are now making it easy to set strict guardrails.
[61:55] Just tell your agent the specific brands and products
[61:58] you want and how much you want to spend.
[62:02] It automatically makes the purchase
[62:04] if the criteria are met.
[62:06] But boundaries only work if there's accountability.
[62:09] AP2 creates a transparent, verifiable link
[62:13] between you, the merchant and the payment processors.
[62:18] It uses privacy-preserving technology
[62:21] to keep your data safe and with tamper-proof digital mandates,
[62:25] AP2 ensures the agent is always acting on your behalf
[62:29] and giving you a permanent digital paper trail.
[62:33] So if you ever need to make a return, you and the merchant
[62:36] are looking at the same record.
[62:39] Your payment info stays shielded and your data stays private
[62:43] and your purchases stay secure.
[62:47] We'll begin bringing AP2 to Google products in the coming
[62:50] months, starting with Gemini Spark.
[62:55] [Applause]
[63:00] Now, these protocols are powering the foundation
[63:03] of this new era, which brings us to our final building
[63:06] block of agentic commerce.
[63:09] I'm excited to announce the Universal Cart, a truly
[63:13] intelligent shopping cart.
[63:16] It works across merchants and across services.
[63:20] You will be able to add things to your cart
[63:22] while you're browsing Search, chatting with Gemini,
[63:25] watching YouTube or even reading your Gmail.
[63:28] The moment you add a product, your cart
[63:31] goes to work for you in the background.
[63:34] It finds deals and price drops, it
[63:37] gives you insights on price history,
[63:39] and alerts you when something comes back in stock.
[63:43] It all runs on our Gemini models so your cart gets even smarter
[63:48] as the models improve.
[63:50] So just think of it as shopping with superpowers.
[63:54] Another game changer is how it applies intelligent reasoning.
[63:59] Let's say you're building your first custom PC.
[64:02] You see a motherboard with great reviews and add it to your cart.
[64:06] You had already picked out a processor,
[64:08] but you didn't realize is that the processor needs
[64:11] a motherboard with a different type of socket.
[64:14] Your cart catches this for you and suggests an alternative,
[64:18] preventing a problem you didn't really see coming!
[64:21] Next, my favorite feature is how the cart can actually
[64:26] find hidden savings for you.
[64:29] If you're like me, you have different payment cards
[64:32] with different perks that are hard to keep track of.
[64:35] Now, you don't have to.
[64:36] The cart can do it for you because it's
[64:39] built on Google wallet.
[64:41] Here's an example.
[64:43] Right here, there's an offer from Target for some products
[64:47] that were added to the cart earlier in the week.
[64:51] I see it so I want to get them now.
[64:53] And UCP makes checkout from your cart super smooth.
[64:57] For many of your favorite brands,
[64:59] you can check out right on Google in just a few taps
[65:03] with Google Pay, or you can transfer the items
[65:06] straight to the retailer's site and buy them there.
[65:11] I'm excited to announce that we are rolling out the Universal
[65:14] Cart in the U.S. across Search and the Gemini app
[65:17] this summer with YouTube and Gmail to follow.
[65:20] [Applause]
[65:21] These are the building blocks that we showed you today,
[65:30] and they don't just create the foundation for agentic commerce,
[65:34] they'll transform the way you shop on Google,
[65:38] making it more powerful, more intelligent and a lot more fun.
[65:43] Happy shopping and back to you, Liz!
[65:44] [Applause]
[65:45] >> LIZ REID: Today, you've seen how we're bringing together
[65:53] the best of a search engine with the best of AI to build a Google
[65:58] Search that's more helpful and powerful than ever before,
[66:02] where Search agents work for you around the clock,
[66:05] where agentic coding means that Search can build experiences
[66:09] as unique as your questions, and where the power of agentic
[66:13] commerce isn't in the distant future; it's here now.
[66:19] So in this chapter of AI Search, Google
[66:22] can help you find, understand, build, do anything.
[66:27] So go ahead; just ask.
[66:51] [Applause]
[66:55] [Applause]
[66:57] >> JOSH WOODWARD: All right!
[68:02] Hi, everyone!
[68:02] Great to see you again.
[68:04] And you've already seen some amazing breakthroughs
[68:06] this morning, and we're just getting started.
[68:09] We have a lot more to show you in the Gemini app
[68:12] so let's jump right in.
[68:13] Over the last summer, Gemini has had incredible momentum.
[68:17] More than 900 million users are coming to the Gemini app
[68:22] every month, and a big part of that growth
[68:25] is how fast we're shipping.
[68:27] A year ago, none of these features existed.
[68:30] And now, Gemini has become the ultimate creative tool
[68:34] for everyone.
[68:35] You can create images, videos and music
[68:38] in ways people never thought were possible.
[68:41] We made Gemini even more tailored
[68:43] with Personal Intelligence, allowing you to securely connect
[68:47] your Gmail, Photos, and other apps
[68:50] so you can get customized help.
[68:53] Just last week, we expanded Personal Intelligence
[68:55] to users Around the world directly in the app.
[68:59] Millions of people are using it every single day.
[69:02] They found it so helpful for things like personalized product
[69:06] and trip recommendations or acting as a thought partner
[69:10] for navigating big decisions in life like a career change
[69:14] or in my case, finding the right set of tires
[69:17] for our super cool minivan that's going
[69:19] to be at that block party.
[69:21] We've made Gemini superb for students
[69:24] also over the last year.
[69:25] You can use it to create guided learning,
[69:28] generate practice tests, and even use dedicated notebooks
[69:32] to keep all your notes and assignments in one place.
[69:35] And these same notebooks sync directly to NotebookLM.
[69:40] Just on its own, NotebookLM has now
[69:43] been used to create more than 1.5 billion notebooks, podcasts,
[69:48] slide decks and more, turning complex information into easy
[69:52] to understand knowledge.
[69:54] And as you heard from Sundar earlier,
[69:56] we're rolling out our new Gemini 3.5 Flash
[70:00] model, which is unlocking a new set of features
[70:03] that I'm going to show you today.
[70:04] All of this is happening in a Gemini app that's
[70:08] now available in more than 230 countries and over 70 languages,
[70:13] making Gemini the most widely available AI
[70:17] system in the world.
[70:19] [Applause]
[70:24] Gemini is becoming that universal assistant people
[70:27] are turning to.
[70:28] It's designed for their everyday lives, and speaking of design,
[70:32] that brings us to the first of our three big updates today.
[70:35] Today, I'm excited to announce that we've completely
[70:39] redesigned the Gemini experience from the ground up.
[70:42] From the moment you open it, we've
[70:45] greeted you with a stunning new design language
[70:47] we call Neural Expressive.
[70:50] We've added fluid animations, vibrant colors, new topography,
[70:55] haptic feedback throughout the app.
[70:57] But we all know that good design isn't just about how it looks;
[71:02] good design is about how it works.
[71:05] So we've involved the entire experience.
[71:07] We've made it easier to discover and generate
[71:10] those gorgeous images, videos and music
[71:13] with built-in templates that you can easily remix.
[71:16] And we've completely transformed the Gemini Live experience.
[71:20] It now opens up immediately and in line.
[71:23] And soon, you'll be able to pick a regional dialect that
[71:27] resonates with you.
[71:28] >> You've got a right good mix of different accents knocking
[71:33] about like this one from Liverpool.
[71:35] [Speaking various languages]
[71:36] >> JOSH WOODWARD: All right.
[71:38] Pretty cool.
[71:39] [Applause]
[71:40] We'll be rolling out these and many more regional dialects
[71:45] in the coming weeks, and my favorite part
[71:53] is how we handle model responses with our new Neural Expressive
[72:08] design language.
[72:09] That's where it really comes to life.
[72:11] You won't see a wall of text anymore.
[72:14] Instead, Gemini will carefully lay out its response
[72:17] in real time, just for you, like the generative UI
[72:21] you saw in Search.
[72:23] As you scroll, you might see interactive images that
[72:26] are custom generated by Gemini.
[72:28] You can drill into them and explore information
[72:31] on an entirely new level.
[72:33] You might even see timelines that you can quickly skim,
[72:36] or embedded videos.
[72:38] So whether you're in dark mode or light mode,
[72:41] the entire experience feels fluid, futuristic,
[72:45] and incredibly natural.
[72:47] Best of all?
[72:49] Neural Expressive is rolling out globally on Android, iOS,
[72:53] and the Web starting right now.
[72:56] [Applause]
[73:01] With a completely redesigned Gemini app as the new base,
[73:04] we can go even further with Gemini's creative capabilities.
[73:08] And that's update number 2.
[73:10] Gemini Omni is coming to the Gemini app for paid subscribers
[73:14] today.
[73:15] It's going to let you bring your ideas
[73:17] to life using any combination of text, images and video inputs.
[73:23] As I've been using it, it feels like the Nano Banana
[73:26] for video moment is here.
[73:28] It's never been so easy to create and edit videos.
[73:32] Let's look at how this plays out in the real world.
[73:34] I want you to meet Sashu.
[73:36] She's working on a new song and wants
[73:39] to create a quick video teaser.
[73:41] She shares this raw video, she adds some reference visuals
[73:46] and this is the coolest part.
[73:48] She can transform the style of the video,
[73:50] even switch the camera angle to a 360-degree shot.
[73:54] And Gemini puts it all together.
[73:57] Let's take a look at what it looks like.
[74:03] [Applause]
[74:04] >> JOSH WOODWARD: All done within Gemini.
[74:14] As you can see, Omni understands the physics of her movement,
[74:18] intelligently layering those effects into the real world
[74:21] without losing the soul of the shot.
[74:24] Creating, remixing, and editing a video has never been easier.
[74:28] So whatever vision is in her head,
[74:30] she can now use Gemini to make it real.
[74:34] Google AI Plus, Pro and Ultra subscribers around the world
[74:38] can try Gemini Omni today right in the app.
[74:44] [Applause]
[74:48] The third update today is about how agents are coming to Gemini.
[74:52] This is a big shift for Gemini, because agents don't just
[74:55] answer questions; they proactively work on your behalf.
[75:00] And to show you what that means, I want to introduce one
[75:02] of our newest out-of-the-box agents called the Daily Brief.
[75:06] It's a personalized digest that's
[75:08] designed to be your first stop every morning.
[75:11] Here's how it works.
[75:12] You can see here it's synthesizing information
[75:15] from across my inbox, my calendar, my tasks,
[75:19] it's finding the most important things for me to be aware of.
[75:22] And I could totally forget these things like returning that back.
[75:26] It's not just summarizing the data, though;
[75:29] it's organizing it by topic.
[75:31] It's even suggesting the next steps.
[75:34] And with this travel info, I can just take the next step right
[75:37] in line.
[75:38] All of it is super concise in this morning digest
[75:42] that's built for skimming.
[75:45] And I can't wait for you to try it out.
[75:47] The Daily Brief is rolling out today
[75:49] also to Google AI Plus, Pro, and Ultra subscribers starting
[75:54] right here in the U.S.
[75:56] And that's just the help you're going to get before breakfast.
[76:00] Beyond the Daily Brief, we're allowing power users
[76:03] to create their own custom workflows with Gemini Spark
[76:06] like I showed you earlier.
[76:08] You'll remember at the beginning of the show I
[76:10] sent a few tasks off, so let's go check in on them,
[76:12] let's see how they've completed.
[76:14] And you'll remember when I did this earlier,
[76:16] I did it from the phone so we're going to actually pull it up
[76:19] on the laptop to see how it syncs across.
[76:22] And if I open it up here on the laptop,
[76:24] you can see it's subdivided those three tasks right here,
[76:28] one, two, three.
[76:30] And it's actually got a really nice feature.
[76:32] There's certain tasks it will actually ask for your input,
[76:35] so you can approve it, so it doesn't just
[76:37] go off and do things you don't want.
[76:39] But I'll check on this one here.
[76:41] This is our school year planning checklist
[76:43] and I asked it remember to create
[76:44] a docket of all the things I didn't
[76:46] want to forget between now and the end of the year.
[76:48] And so I'll open this one up, and what's
[76:50] amazing about this is it takes advantage of all the Google
[76:53] Docs formatting so I can immediately click in and see
[76:57] the checklist here for all our various kids,
[76:59] all subdivided like this, and easily
[77:02] go one by one, the date, the activity, the color-coding:
[77:06] All integrated in one spot.
[77:09] Pretty incredible how much time this can save.
[77:12] [Applause]
[77:12] Now, what comes across all of these cases
[77:15] is that we want to make agents easy to use and safe and secure.
[77:21] As a reminder, Spark is going to start rolling out
[77:23] to trusted testers this week, and we're
[77:25] planning to roll it out as a beta to Google AI Ultra
[77:29] subscribers next week in the U.S.,
[77:30] and we'll be bringing a version of Spark
[77:33] also to Gemini Workspace, as well as Gemini Enterprise.
[77:38] And this is just the beginning.
[77:40] We've got a packed road map of features
[77:43] we'll be shipping throughout the summer.
[77:44] It's going to be amazing.
[77:46] I'm really excited about the MCP integration.
[77:49] That's going to enable Spark to handle
[77:51] so many tasks in ways that are even
[77:53] more proactive and powerful.
[77:56] Imagine, Spark will be able to look ahead on your calendar
[77:59] and see that you're on snack duty,
[78:01] or for your kids' T-ball game on Saturday.
[78:04] They can go ahead, and proactively
[78:05] set up your Instacart order on its own
[78:08] so you don't forget those snacks.
[78:10] It will even remember to pick snacks
[78:12] that don't have nuts in them.
[78:14] And we have this incredible lineup
[78:16] of partners that are coming that will be integrating
[78:18] with Spark over the summer.
[78:22] Now, I know I promised just three updates,
[78:24] but we have one more.
[78:26] Last month, we dropped the Gemini app for Mac OS.
[78:29] Here it is on the screen.
[78:31] It's gorgeous.
[78:32] This is a small team that built this native app from scratch,
[78:36] using Antigravity.
[78:37] They did over 100 features in less than 100 days.
[78:41] Now, two weekends ago we were hacking on the Mac app
[78:45] and we came up with something cool
[78:46] and we wanted to sneak it into the show.
[78:48] Do you all want to see it live?
[78:50] All right.
[78:51] [Applause]
[78:53] We've got a big summer trip coming up,
[78:55] and we've got to find a kennel for our two dogs,
[78:59] and here's a picture of our two dogs,
[79:01] there's Hank, looking good, and Louis Cinnamon,
[79:04] one of the most interesting names for a dog
[79:06] we've ever heard.
[79:07] What we're going to do and remember
[79:10] when you have to go to a new kennel
[79:11] there's lots of paperwork, allergies, vaccines,
[79:14] all the history you have to pull together.
[79:16] It's so painful.
[79:18] And so what you can do with this on Gemini, on Mac OS
[79:23] is actually take a look at a bunch of documents like this.
[79:26] You'll be able to select them all and long-press the Function
[79:30] Key and just dictate the e-mail to the kennel.
[79:34] So it works something like this.
[79:38] Hi, there, I need to do a short boarding
[79:41] stay for my two dogs, Louis Cinnamon and Hank
[79:43] starting this Thursday, oh, wait no actually, it's this Friday.
[79:47] They've never stayed with you before,
[79:49] but they're very social dogs and also can you
[79:52] turn these files into a table with their details, allergies,
[79:56] recent vaccines and make this e-mail sound friendly
[80:00] so we make a good first impression.
[80:04] All right.
[80:04] I'm going to release the function key,
[80:06] you can see Gemini is thinking at the bottom
[80:08] here on this Macbook.
[80:10] What it's done is because I've selected those files in Finder,
[80:14] using its multimodal understanding,
[80:16] it can go through the PDFs, it can
[80:19] go through these images of their invoices,
[80:21] and it's all controlled by my voice.
[80:24] So it can actually take all of that complex information
[80:27] and look at that, there it is.
[80:28] It's got a table in line --
[80:30] [Applause]
[80:35] It's also so amazing, because it corrects -- remember,
[80:38] I said Thursday, no scratch that Friday,
[80:40] and it Pics that up and automatically cleans up
[80:43] my input.
[80:45] This is the power of what Gemini can do using your voice.
[80:50] These new voice capabilities in Gemini Spark
[80:53] will be coming to the Mac app this summer, as well.
[80:56] [Applause]
[81:01] And so there it is.
[81:02] Today has been a jam-packed Gemini day.
[81:05] We've completely redesigned the entire experience
[81:09] with Neural Expressive.
[81:10] We're shipping the brand-new Gemini Omni model and 3.5 Flash
[81:15] model with 3.5 Pro coming soon and you can now
[81:19] put Gemini to work.
[81:21] And it will keep working for you even while you
[81:24] sleep, thanks to new features like the Daily Brief and Gemini
[81:27] Spark.
[81:29] All of this gets us closer to our vision
[81:31] of a universal assistant that's personal, proactive,
[81:36] and powerful in your daily life.
[81:38] So whether you're a student, a busy parent, or a small business
[81:42] owner, we look forward to what you're going
[81:45] to be able to do with Gemini.
[81:47] Thank you.
[81:47] [Applause]
[81:49] >> Hi.
[81:51] I'm Holly.
[81:51] I moved from South Korea to the U.S. in 2005.
[81:56] Food has always been something we love to do in our family.
[82:01] So I decided to open a restaurant.
[82:03] But running a restaurant, so hard.
[82:09] I discovered Gemini could help me with a lot of things.
[82:13] From menus to marketing, budgeting and inventory.
[82:17] How much sesame oil did I order last month?
[82:20] >> Last month you ordered five gallons.
[82:22] >> I even rebuilt our website was Antigravity and Stitch
[82:27] to include a custom chatbot for our customers.
[82:29] But one day we needed to find a dishwasher very last minute
[82:34] and that was my "aha" moment.
[82:37] I wanted to help small businesses and people find
[82:39] each other faster.
[82:41] So I got a small team together and we
[82:44] used Gemini models to build an inclusive hiring
[82:47] platform called WorkOnward.
[82:49] And we did what other job sites are not doing.
[82:52] We translated the job postings and then made
[82:54] it possible to post jobs just by text.
[82:58] It helps break down barriers for those who aren't tech savvy
[83:02] and helps people find their place.
[83:05] Our little tool is now a platform used by over 13,000
[83:11] people in New York City.
[83:15] It's about honoring the dignity of workers and small businesses,
[83:20] and I think that's a power of AI.
[83:26] [Applause]
[83:28] >> SUZ CHAMBER: As you've heard today,
[83:41] our models and products are unlocking new breakthroughs,
[83:45] but the real breakthrough isn't the technology;
[83:48] it's what you do with it.
[83:50] Whether you're a designer, an entrepreneur, or an artist,
[83:54] our products help shrink the gap between the moment
[83:57] you have an idea and the moment you create it.
[84:00] At its best, technology is a canvas for human creativity,
[84:05] and today, I want to dive into the three products that help
[84:09] you bring your ideas to life.
[84:11] Let's start with one that takes the power of Nano Banana
[84:15] and gives you even more creative control.
[84:18] Introducing Google Pics, a new product in Google Workspace.
[84:24] Pics is our image creation and editing tool
[84:27] that helps you create just about anything,
[84:30] from party flyers to infographics
[84:33] with the creative control you want.
[84:35] Watch how easy this is.
[84:38] You start with a base image as your canvas,
[84:41] and what's really cool is that Pics understands
[84:44] what's in your creations and how the objects work together.
[84:48] You can hover over an element and click to remove it,
[84:52] or you can resize an object to fit the frame.
[84:56] Once the layout is set, you can add or edit text
[85:00] and translate all of it with just a few clicks.
[85:05] [Applause]
[85:08] Pretty cool.
[85:12] Every output from our creative tools, including Pics,
[85:15] is watermarked with SynthID and Pics is rolling out this summer.
[85:22] [Applause]
[85:26] But what if you want to go beyond images?
[85:28] Maybe you want to design an app or a website.
[85:33] Now, you can build UI at the speed of thought.
[85:36] Teams across Google use our design product
[85:39] called Stitch to turn rough ideas into beautiful UI designs.
[85:45] But it's not just us.
[85:46] In the last year, the world used Stitch to generate over
[85:50] 100 million UI screens.
[85:53] And to continue that momentum, today, we're
[85:56] introducing new ways to design.
[85:59] Let's look at how this works.
[86:01] My friends Tyler and Jenny own a pizza company.
[86:04] They have a ton of experience making pizza and no experience
[86:08] designing websites.
[86:09] With a single prompt, Stitch will
[86:11] go to work, generating that UI live.
[86:15] Now, this is just the first pass,
[86:17] but if they want to refine it, they
[86:19] can collaborate with Stitch in real time,
[86:22] either by writing prompts or using their voices.
[86:26] For example, they can jump in and say "make the header text
[86:31] larger and update the menu to highlight more pizza options."
[86:35] And the layout updates in real time.
[86:39] And because Stitch links to many tools,
[86:41] they can export their design to code or launch their website
[86:45] in just a few clicks.
[86:48] These updates in Stitch are rolling out today to users
[86:51] globally.
[86:53] [Applause]
[86:58] With every new technology, what's most exciting
[87:01] is seeing what people make with it.
[87:04] That's why from day one, we haven't just
[87:07] built models and tools for creatives;
[87:09] we've built with them.
[87:11] Let's take a look at some of our amazing partners
[87:14] and what we've created together.
[87:19] >> You're in the era where the human has to be the most
[87:23] creative.
[87:34] >> Toto, I have a feeling we're not in Kansas anymore.
[87:38] >> Right?
[87:42] >> Yeah.
[87:42] We'll do that.
[87:44] [Applause]
[87:45] >> SUZ CHAMBER: That spirit of collaboration is why we launched
[88:08] Google Flow at I/O last year.
[88:11] Today, millions of people are using
[88:14] it to create images, films, and music, in ways that never could
[88:18] have been done before and to build on that progress,
[88:21] we're rolling out Gemini Omni, a new agent, custom tools,
[88:27] and music remixing.
[88:33] [Applause]
[88:37] Let's start with Gemini Omni.
[88:39] Take a look at this raw footage.
[88:42] I love how this person is walking,
[88:44] his presence, his pacing, let's not change any of that.
[88:49] With a simple prompt and style reference,
[88:52] Omni allows us to transform the environment,
[88:54] add visual effects and any other element
[88:58] all while preserving the original performance.
[89:02] And now, you can even add new characters,
[89:05] while maintaining everything else in the scene.
[89:09] [Applause]
[89:15] Next, let's take a look at our second big update,
[89:17] a new agent in Google Flow.
[89:20] Until today, Flow could only execute one prompt at a time.
[89:25] Now, your agent can take multiple actions all at once.
[89:30] Starting with just a single image,
[89:32] I can ask the agent to help me find the best camera
[89:36] angles for this scene.
[89:38] It analyzes what's happening in the image, concepts the most
[89:41] compelling angles and then boom, a single image
[89:47] becomes 16 unique videos.
[89:55] [Applause]
[89:55] The agent can also handle large-scale edits,
[89:58] like transforming all of these scenes from early morning
[90:02] to late at night.
[90:04] Its understanding of context is precise.
[90:06] The desert sky goes completely dark,
[90:09] and the headlights turn on illuminating the dust.
[90:13] It's a true collaborator, helping
[90:15] you create and edit at scale.
[90:18] [Applause]
[90:25] Our next update is Flow tools.
[90:27] Now, you can vibe-code any creative tool you can think of,
[90:31] right in Flow.
[90:32] Custom built by you for your unique creative process,
[90:37] like designing video effects, hand-drawn animations
[90:42] or layering text.
[90:44] You can start building, sharing, and remixing tools today.
[90:50] [Applause]
[90:54] Visual magic is only half the story.
[90:57] Google Flow Music brings the same creative control
[91:01] to help artists create original songs.
[91:04] For months, one of our teammates had a piano riff in his head.
[91:08] Let's listen to that original recording.
[91:15] [ piano ]
[91:18] It's a really cool foundation, but he
[91:21] wanted to turn it into a demo to guide his band.
[91:24] So he recorded his piano into Flow Music
[91:28] and prompted it for an R&B direction
[91:30] with a female vocal to inspire his band's singer.
[91:35] Let's take a listen.
[91:48] [Applause]
[91:59] Now, this isn't his final track, but it
[92:02] helped his band decide what to record next.
[92:06] These new features in Google Flow and Google Flow Music
[92:12] are available today.
[92:14] [Applause]
[92:19] From musicians to small businesses,
[92:22] and vibe coders to artists, the real breakthrough
[92:25] isn't the technology; it's what you do with it.
[92:28] And we can't wait to see what you create.
[92:34] [Applause]
[92:37] Next, I would like to hand things over to Shahram
[92:40] to show you what happens when we take Google's latest innovations
[92:43] and bring them into the real world.
[92:46] [Applause]
[92:50] >> SHAHRAM IZADI: This is such an exciting time for XR.
[93:02] AI continues to unlock all-new experiences on headsets, glasses
[93:09] and everything in between.
[93:11] Android XR, the new platform we've built with Samsung
[93:15] and optimized for Snapdragon with Qualcomm,
[93:18] combines this pioneering hardware with Gemini.
[93:24] This gives you help in the moment
[93:25] without taking you out of it.
[93:28] The next big milestone for Android XR
[93:31] is Intelligent Eyewear.
[93:33] There will be two types of these AI glasses
[93:37] that connect to your phone and give you hands-free help all day
[93:41] long.
[93:43] Last year, we showed you display glasses on the I/O stage.
[93:48] With the small in-lens display, you'll
[93:51] get helpful information right in front of you, right
[93:54] when you need it, like seeing your Uber pickup
[93:58] details at a glance, or getting live translations as you travel.
[94:03] You'll even be able to use features like Create My Widget
[94:08] to make glance-able elements.
[94:11] The first wave of developers are already
[94:13] creating display experiences, and you'll
[94:16] hear more about these glasses later this year
[94:19] when we expand our Trusted Tester Program.
[94:22] But let's talk about what's launching this year.
[94:27] Today, I'm excited to announce that our first audio glasses
[94:32] will arrive this fall.
[94:35] [Applause]
[94:40] They are designed to give you all-day help from Gemini that
[94:43] is spoken into your ear privately rather than shown
[94:47] on a display.
[94:49] And these glasses let you stay hands-free and heads-up
[94:52] for things like listening to music,
[94:54] taking photos, making calls, or tapping into your phone apps
[95:00] without reaching into your pocket.
[95:03] Personally, I love to cook, but I'm not one
[95:06] to follow a recipe book, so it's great to have Gemini offer up
[95:10] some advice before I get too experimental.
[95:14] These audio glasses have brought together
[95:16] an all-star cast of partners.
[95:19] You've got the world's top eyewear designers
[95:22] at Gentle Monster and Warby Parker creating iconic designs.
[95:29] [Applause]
[95:30] Thank you.
[95:34] The world's leading electronics company, Samsung,
[95:37] is building innovative new devices and experiences that set
[95:41] the bar for the whole industry.
[95:44] And we've been working to bring the best of Google
[95:47] to these glasses, as well.
[95:49] And yes.
[95:50] They're going to pair with Android and iOS devices.
[95:54] [Applause]
[96:00] They look incredible and today, you
[96:03] are actually going to finally see for yourself.
[96:06] Let's pass it to our friend and partner from Samsung, Jay Kim,
[96:11] to kick off the world's first look.
[96:15] >> At Samsung, our vision is to enrich people's lives and help
[96:20] shape how we live tomorrow.
[96:23] In close partnership with Google,
[96:24] we're introducing intelligent eyewear
[96:27] that empowers you to connect to the world with confidence.
[96:30] Built with Samsung's precise engineering and craftsmanship,
[96:34] weíre merging form, function and helpful intelligence to create
[96:38] something you'll want to wear.
[96:40] In eyewear, every millimeter counts.
[96:43] Today, we're thrilled to share a first look at the upcoming
[96:47] styles co-created with our eyewear partners, Warby
[96:50] Parker and Gentle Monster.
[96:52] Let's take a look.
[96:53] >> People are always saying,
[97:00] ìHey, we have to be disruptive.î But we have to think about what
[97:03] is the disruption?
[97:05] I want to make intelligent eyewear that looks
[97:07] prettier than normal eyewear.
[97:09] That's our goal.
[97:11] It's the balance between technology and fashion.
[97:14] It's not only product.
[97:15] It's all about perception and emotion.
[97:18] You know, heart, that is the DNA.
[97:21] I want to give confidence to people.
[97:23] When they wear this, they feel like connected
[97:26] with this kind of braveness, these kind of rebellious things
[97:29] because this is who we are.
[97:31] That's the meaning of Gentle Monster with Google and Samsung.
[97:37] >> Glasses are a deeply personal product.
[97:40] They shape how you see the world and how the world sees you.
[97:42] >> What you see here is an evolution of Warby
[97:46] Parker's first intelligent eyewear designs.
[97:49] >> Our vision for intelligent eyewear started by wanting
[97:53] to design a beautiful pair of glasses.
[97:56] We often take inspiration from different art objects, artists,
[98:00] eras in time.
[98:01] >> It was important for us not to hide the technology
[98:06] but to celebrate it.
[98:07] >> These will not only help people see but will help them
[98:10] understand the world more deeply.
[98:12] >> We want people to experience the world fully
[98:15] and that's the magic of this technology.
[98:18] Hey, Gemini, who wore it better?
[98:19] [Applause]
[98:20] >> SHAHRAM IZADI: Aren't they beautiful?
[98:32] These are the first Two designs of a bigger collection coming
[98:37] this fall.
[98:39] You know what time it is now.
[98:41] Who's up for a live demo?
[98:43] [Applause]
[98:46] Nishtha is going to join me on stage,
[98:49] so let's have Gemini play some entrance music for her.
[98:52] And it's seeing the world around you, you can see,
[98:57] so the more hyped you are in the audience,
[98:59] the more pumping the music will be.
[99:07] Gemini...
[99:10] I think it's done it already.
[99:11] Play that music!
[99:12] Come on let's go.
[99:15] Nishtha, welcome.
[99:16] Welcome, Nishtha.
[99:19] >> NISHTHA BHATIA: Thank you.
[99:21] >> SHAHRAM IZADI: I'm wearing one of the Warby Parker styles
[99:25] and Nishtha has a pair of the Gentle Monster glasses on.
[99:29] Looking great, Nishtha.
[99:30] >> NISHTHA BHATIA: Thanks, Ram, you, too.
[99:31] >> SHAHRAM IZADI: A quick preamble for the demo today.
[99:35] We're going to be piping in the audio to the stage speakers
[99:39] from our glasses, but in regular use, of course,
[99:42] Gemini is going to just privately be talking to us.
[99:45] Now, last time we were on stage We saw the rich Google Maps
[99:49] experience on display glasses.
[99:52] Well Maps on these glasses are just as helpful,
[99:55] especially when working in combination
[99:57] with Personal Intelligence.
[99:59] >> NISHTHA BHATIA: No pulling out my phone.
[100:01] All I have to do Now is ask.
[100:06] Can you navigate me to that place I met my friend
[100:09] Gianna at last week?
[100:10] >> GEMINI: Hey, Nishtha, I've set your route to the Redwood
[100:14] Grove Natural Preserve from Last Week's Hike,
[100:16] want to add a stop on the way to grab your afternoon cold brew?
[100:19] >> NISHTHA BHATIA: Yes, Gemini.
[100:20] I would love that.
[100:21] >> GEMINI: Okay.
[100:23] I'm starting walking navigation with a stop at Koopa Cafe.
[100:26] Turn around and head towards Bill Graham Parkway.
[100:28] >> SHAHRAM IZADI: With glasses, you can allow Maps to further
[100:32] understand your context, and what's in front of you so you
[100:36] get detailed directions like the coffee shop is coming up
[100:39] on your right.
[100:40] Speaking of coffee, Nishtha, do you
[100:42] want to share how Gemini intelligence can
[100:44] allow you to order that cold brew up ahead?
[100:46] >> NISHTHA BHATIA: That's a really good idea.
[100:51] Gemini, can you actually put my usual order
[100:54] in at that coffee shop we just talked about?
[100:56] >> GEMINI: Sure, I'll order you a nitro cold brew for pickup
[101:00] from Koopa Cafe on Doordash.
[101:01] >> SHAHRAM IZADI: On the screen behind me you can see
[101:06] Nishtha's phone in her pocket and Gemini is able to launch
[101:10] apps like Doordash and then click through all the different
[101:13] option screens automatically to order her coffee.
[101:18] And in a moment, it will be ready for Nishtha's
[101:21] confirmation.
[101:26] There we go.
[101:26] [Applause]
[101:32] There we go.
[101:33] >> GEMINI: I have prepared your order for the nitro cold brew
[101:40] from Koopa Cafe.
[101:41] Would you like to confirm?
[101:42] >> NISHTHA BHATIA: Yes, please.
[101:44] And add a tip for 20%, too.
[101:45] >> SHAHRAM IZADI: I think after all these rehearsals,
[101:49] that's her 15th cold brew of the day and thanks to the coffee
[101:52] shop for putting up with us.
[101:54] >> NISHTHA BHATIA: Definitely, is and speaking of preparation,
[101:58] I actually muted my texts before I came on stage,
[102:01] but let me see if I can catch up now.
[102:04] Hey, Gemini, any important messages I missed?
[102:06] >> GEMINI: Yes.
[102:09] Your family group chat decided to meet for dinner tonight
[102:12] at 7:00 and there's a reminder to say your daily affirmations.
[102:15] You are strong -- >> NISHTHA BHATIA: Okay.
[102:17] We'll do the affirmations a bit later,
[102:20] but why don't you add that dinner to my calendar?
[102:22] >> GEMINI: Sure I'll add an event for family dinner at 7:00
[102:27] p.m. to your calendar.
[102:28] Right after your team celebration.
[102:30] >> SHAHRAM IZADI: Awesome.
[102:33] [Applause]
[102:34] Thank you.
[102:37] Gemini not only summarized her muted texts
[102:40] but it tapped into her Calendar app to add that event.
[102:44] So we saw how glasses work with Your phone,
[102:47] but what about when they attach to your watch to give you
[102:51] a glancable display?
[102:52] >> NISHTHA BHATIA: It's not a Google I/O without an audience
[102:55] selfie, but we're going to do it with a twist this time.
[102:58] Can everyone strike their favorite pose?
[103:02] Gemini, take a photo of this amazing audience
[103:04] but turn it into a cartoon and add a big blimp
[103:07] in the sky that says Google I/O 2026 on it in fun colors.
[103:10] >> SHAHRAM IZADI: Everyone strike a pose.
[103:14] Okay.
[103:15] If this goes well, everyone go bananas in the audience.
[103:20] Nano Banana on glasses is just awesome
[103:23] and just in a few seconds, you'll
[103:25] even see that seamless preview on her
[103:28] watch any second now, drum roll.
[103:33] Here we go!
[103:34] [Applause]
[103:43] Thank you, Nishtha.
[103:44] Round of applause for Nishtha.
[103:45] [Applause]
[103:51] The demo worked, yes!
[103:53] The future of Intelligent Eyewear
[103:56] has never been more exciting.
[103:58] Stunning designs from iconic brands,
[104:02] engineering and craftsmanship from Samsung,
[104:05] personal and proactive help from Gemini,
[104:08] customized apps and features from Google,
[104:11] and the developer ecosystem, all arriving with our first glasses
[104:16] this fall.
[104:17] So stay tuned.
[104:19] Now, I'm going to pass it to Demis.
[104:23] Thank you.
[104:24] [Applause]
[104:24] I'm going to pass it to Demis to talk about the future of AI.
[104:27] >> DEMIS HASSABIS: It's amazing to see how far we've come with
[104:39] glasses, and I can't wait for everyone to experience them.
[104:44] Today, we showed you our next-generation models,
[104:46] Gemini 3.5 and Omni, new coding capabilities in Antigravity 2.0,
[104:51] agents in Search and Gemini Spark, and so much more.
[104:55] It's great to see Gemini transforming
[104:58] so many Google products used by billions of people every day.
[105:03] All of these advances show the staggering pace of AI progress.
[105:06] It's incredible, even for those of us
[105:09] who have spent our entire lives working on this.
[105:13] AGI is now on the horizon and it will
[105:15] be the most profound and impactful technology
[105:17] ever invented.
[105:19] If built right, it could propel human progress and flourishing
[105:23] beyond our imagination.
[105:24] We're in a moment of immense promise,
[105:27] but also enormous responsibility.
[105:30] It's important that we are clear-eyed about the potential
[105:32] challenges and use all the tools at our disposal
[105:35] to ensure the safety of our agentic systems
[105:38] and ultimately, AGI itself.
[105:42] One area of risk that has gained a lot of attention
[105:44] recently is cybersecurity.
[105:46] Google has invested in this area for decades
[105:48] and we are bringing our frontier capabilities and deep expertise
[105:52] to help secure the world's codebases.
[105:55] We have tools like our Code Security Agent,
[105:58] CodeMender, which automatically finds and fixes
[106:01] critical software vulnerabilities.
[106:03] Today, we're inviting a select group of experts
[106:06] to test a new CodeMender API, and we'll be launching it
[106:09] more broadly soon.
[106:13] [Applause]
[106:17] Stepping back, the whole reason I've worked on AI
[106:20] my entire career was, because I saw it as the ultimate tool
[106:23] to advance science and our understanding of the world.
[106:26] It's awesome to see those dreams become
[106:29] a reality with AI beginning to help scientists
[106:32] in almost every field.
[106:35] Building on this momentum, I'm excited to announce
[106:37] Gemini for Science.
[106:39] [Applause]
[106:39] It brings together a number of powerful AI tools
[106:49] to help accelerate research.
[106:52] Gemini can already assist in solving complex problems,
[106:55] but our new Labs prototypes streamline
[106:57] daily scientific tasks, whether it's
[106:59] staying on top of newly published papers,
[107:02] transforming research goals into usable code
[107:04] or generating new hypotheses.
[107:08] Another powerful tool for science is simulation.
[107:11] AI simulations are going to be critical to understanding
[107:14] and predicting dynamic systems that
[107:16] are simply too complex to model directly today.
[107:19] An amazing example of this is AlphaEarth Foundations.
[107:23] It's the closest thing we have to a digital twin of the planet
[107:27] that could help address problems like deforestation and food
[107:31] security.
[107:32] Simulations are already proving extremely useful.
[107:36] Our state-of-the-art WeatherNext models can predict hurricane
[107:39] paths faster and more accurately than traditional systems.
[107:43] Let's take a look at how weather helped during last year's
[107:46] hurricane season.
[107:49] >> Tropical storms and hurricanes can change very
[107:51] quickly, which makes them more challenging to predict than
[107:54] other types of weather systems.
[107:55] >> At Google, we developed WeatherNext a global weather
[107:59] forecasting AI model that is also able to predict where
[108:01] hurricanes are going to go and how strong they're going
[108:03] to become.
[108:04] In 2025, WeatherNext predicted a category 5 hurricane
[108:08] striking Jamaica three days early
[108:10] with greater accuracy than previous models.
[108:12] >> It's going to cause catastrophic,
[108:16] life-threatening damage.
[108:18] >> Because of that early warning,
[108:25] we were able to give that advance notice to the public
[108:29] to say, move from certain areas, so it saved their lives.
[108:33] >> WeatherNext was a really valuable tool in helping us make
[108:37] these more accurate and aggressive forecasts
[108:39] for Melissa.
[108:40] And I think going forward, WeatherNext and other AI models
[108:43] will become a part of our routine forecast toolkit
[108:46] here at the Hurricane Center.
[108:49] [Applause]
[108:49] >> DEMIS HASSABIS: In the future,
[108:56] we will be able to simulate even more complex emergent systems,
[109:00] perhaps even virtual cells.
[109:03] Our biological models, like AlphaFold and AlphaGenome,
[109:06] have already become standard research tools
[109:08] used by millions of scientists around the world
[109:11] to make important advances in their fields.
[109:14] I like to call this "science at digital speeds,"
[109:18] both in terms of the speed of the solution and its
[109:20] dissemination to the researchers who can make use of it.
[109:25] I've always believed the number one application of AI
[109:27] should be to improve human health.
[109:30] At Isomorphic Labs, we're modeling molecular interactions
[109:34] to massively accelerate the development
[109:36] of new medicines, supported by leading industry partners.
[109:40] We're now in the pre-clinical stage with multiple projects,
[109:43] including potential treatments for immune disorders and cancer.
[109:48] [Applause]
[109:55] Our mission is to reimagine the drug discovery
[109:57] process with the goal of one day solving all disease.
[110:02] Something that would have seemed impossible just a few years ago
[110:05] but I truly believe is now within reach.
[110:10] Google's cutting-edge research and products
[110:12] will help unlock AGI's incredible potential
[110:15] for the benefit of the entire world.
[110:18] When we look back at this time, I
[110:20] think we will realize that we were
[110:21] standing in the foothills of the singularity.
[110:24] It will be a profound moment for humanity.
[110:28] This technology will be a force multiplier for human ingenuity
[110:32] and usher in a new golden age of scientific discovery
[110:35] and progress, improving the lives of everyone, everywhere.
[110:40] We look forward to building the future with all of you.
[110:44] Thank you and enjoy the rest of Google I/O.
[111:05] [Applause]