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How Sundar Pichai is rethinking Google for the AI era | Decoder
Sundar Pichai says Google is reorganizing around shared AI infrastructure and must prepare for increasingly capable AI, whether or not it is called AGI.
Decoder · Nilay Patel
- Sundar Pichai is CEO of Google and Alphabet.
The best minutes
- 8:31Google unified its AI teams to make decisions faster4 min
- 26:07AI anxiety reflects social change, not just product quality7 min
- 33:40Publishers are adapting as search traffic and user behavior shift5 min
Also worth watching
- 20:55Pichai says Search should be less opinionated on some queries5 min
- 41:15Pichai says AI still cannot make scientific discoveries alone5 min
- 17:04Google expects agent tasks to work across products4 min
- 12:53Google expects agent teams to spread beyond engineering3 min
Skip the sponsor reads, the opening Google-structure overview, and the publisher opt-out and web-policy discussion.
Full analysis · 6 min read
Real Alpha · Nov 8
Sundar Pichai says 13 Google products have a billion users
- Pichai says Google has 13 products with a billion users each.
- He ties its AI reorganization to faster decisions, but offers no outcome figures.
- For leaders, the test is whether shared infrastructure improves products and earns trust.
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7 sections, the 4 other voices it tests Pichai against, and what it means for you. Every episode we cut gets one.
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Google's reach predates the reorganization
Pichai says Google has 13 products with a billion users each. He uses Gmail, Maps, Docs, Search and Chrome as examples of lasting commitments.
That figure describes Google's reach, not the results of its AI restructuring. The conversation gives no before-and-after measure of product quality, launch speed or duplicated work.
For example, Pichai says NotebookLM and Gemini now share notebooks after teams first developed them separately. That is a concrete case of later harmonization, not evidence that every overlapping product will converge.
Our read
The scale makes reuse a consequential bet. But the user count cannot tell a company whether the new operating model is working.
ChatGPT pushed Google to centralize AI
Pichai says adoption moved faster than Google expected after ChatGPT. He responded by combining Brain and DeepMind as Google DeepMind and creating core models and infrastructure teams.
He also centralized AI infrastructure, appointed a chief AI architect and consolidated Search leadership. Those choices address a coordination problem, not simply a shortage of AI research.
A common model and infrastructure layer can support several products at once. That can reduce repeated work, but it also makes product teams depend on shared systems and priorities.
In Tulsee Doshi's Lenny's Podcast, November 2026, Google's Gemini product head described a strategy spanning hardware, models and applications. That reinforces the full-stack logic, but does not show whether customers get better results.
“we need a core models and a core infrastructure team”
Our read
Pichai describes an operating design built around shared technical foundations. The missing evidence is whether reuse improves execution without creating a central bottleneck.
Weekly reviews aim to raise decision speed
Pichai says AI products headed to users went through weekly reviews, which he attended personally. He describes the reviews as a way to check where and how Google applies AI.
He also distinguishes routine decisions from consequential ones. His view is that many decisions should be made quickly, while choices such as merging research teams deserve longer deliberation.
That process puts executive attention directly into the product pipeline. But Pichai shares no review count, time-to-launch comparison or example where a review changed a product decision.
In Sundar Pichai's Big Technology Podcast, October 2026, he said frontier research gets first claim on compute. That makes allocation a test of the same leadership model, since common infrastructure still has competing demands.
“we needed to make faster decisions”
Our read
The review cadence is a clear management mechanism, not proof of faster shipping. Teams can test it by tracking decision time and whether launches improve.
Agents could make product boundaries disappear
Pichai sees reasoning, tool use and coding as building blocks for agents. He describes Spark as a Gemini mode, with agent capabilities eventually working across products.
The organizational implication is important. Users may begin a task in Search, Gemini or another Google surface and expect the same context and actions to follow them.
Pichai says some Google engineers already direct teams of agents, and he expects the shift to reach other parts of the company. He stresses deploying useful capabilities rather than redesigning the org chart around agents.
In Sundar Pichai's Big Technology Podcast, October 2026, he described persistent agents reachable through Workspace, Search or Gemini. That is a broader product vision, while this interview supplies no reliability or completion data.
For instance, a trip-planning agent is only unified from a user's perspective if it can complete the task across services. Bernardo Aceituno of Stack AI, on MTS in October 2026, described web barriers such as captchas and the need for agent-friendly interfaces.
Sundar Pichai · Big Technology Podcast · Oct 20Google plans to bring persistent agents across its products
Bernardo Aceituno · MTS · Oct 17The internet still makes basic tasks difficult for AI agents
Our read
Google's convergence story is plausible as a product direction. Its practical test is whether agents finish tasks reliably across the web, not whether several products share a model.
Search still needs judgment about when to personalize
Nilay Patel showed Pichai a search for the best Chromebook. The AI overview, a Reddit result and a Times result offered different recommendations.
Pichai said it was probably more opinionated than it should be for that query. He also suggested Patel might be seeing a personalized result.
His defense is that Google measures satisfaction over time, using signals such as return visits, engagement and bounce backs. Those measures could catch bad experiences, but he shared no values from them here.
For example, Pichai says Google tries to surface more authoritative information for health queries. The harder product question is how clearly users can tell a grounded answer from a personalized recommendation.
“more opinionated than it should be”
Our read
Long-term measurement is a sensible check on search changes, but the interview offers no result from that check. Trust depends on whether the answer's confidence matches the evidence.
Google's link promise does not insure publishers
Asked about Condé Nast planning for zero search traffic, Pichai said publishers are adapting as habits and information sources change. He declined to advise the publisher on its business plan, while saying Google remains committed to connecting users with web content.
Those positions can coexist, but they leave the business risk with publishers. Pichai said low-quality clicks are declining and Google has added links, yet he offered no referral figures or traffic guarantee.
Google's preference feature for subscribers is a tangible response to changing publisher models. It does not establish how much search traffic publishers can expect as answers and agents keep users inside Google's products.
Chris Dixon's a16z Podcast, October 2026, described search and social platforms answering queries or keeping users onsite instead of sending them out. That makes referral traffic a useful measure of Google's promise, rather than a reason to assume it holds.
Our read
The host's Google Zero concern remains unresolved. Pichai promises links and source connections, but gives no referral figures or traffic guarantee.
AI's social costs will test the pace of deployment
Pichai says anxiety reaches beyond whether AI products work. He points to jobs, rapid change, electricity costs and deepfakes, and says companies and governments have responsibilities.
He names practical areas for action, including workforce adaptation, ratepayer commitments and tools such as SynthID. But he gives no targets for energy impacts, job transitions or adoption of safeguards.
Pichai later says current models cannot make novel scientific discoveries on their own. He also says that, whether people call systems AGI in three years or not, they will be powerful enough to require preparation.
That framing shifts attention from a label to capability and readiness. For companies deploying AI, usage gains alone will not answer employees' concerns about work or communities' concerns about infrastructure.
Our read
The reorganization is designed to help Google move quickly. Its durability depends on whether governance, workforce planning and public accountability keep pace with that speed.
What it means for you
- Track review speed. Record how long AI product decisions take before and after weekly reviews. Pair that with launch quality, so faster approvals do not become the only success measure.
- Map shared dependencies. List which products rely on the same model, infrastructure and compute capacity. Identify who resolves conflicts when teams need those resources at once.
- Test agent completion. Choose a real cross-product task and measure completion, failures and human interventions. Include web obstacles such as authentication and captchas.
- Measure source referrals. For products that rely on search traffic, compare visits from search with visits from other sources. Separate useful referrals from clicks that quickly bounce back.
What to watch
- Whether Google publishes measurable results from its AI product reviews
- Whether agent tasks complete across products and external websites without repeated user intervention
- Whether publishers continue to see useful search referrals as answer experiences expand
Send this to the product and engineering leaders setting your AI review process.
Watch the minute where Pichai gives Google's product count
Written by Real Alpha from the episode's transcript and the other moments it links, then checked against the transcript. Quotes are the speaker's exact words.
Minute by minute
- 3:27AI gives Google a shared platform
Pichai describes Search, YouTube, and Google Cloud as Google’s main businesses, supported by platforms such as Android and Chrome, Google DeepMind, and infrastructure teams. He says Gemini and shared AI infrastructure let teams apply common technology across products, while still leaving room to experiment and harmonize products later.
- 8:43Google reorganized around core AI
Pichai says ChatGPT’s arrival changed expectations about how quickly people would adopt AI, so Google needed to organize to express its AI work through products. He brought Brain and DeepMind together as Google DeepMind, centralized infrastructure, created a chief AI architect role, and changed Search leadership. He also began weekly AI product reviews.
- 11:40Routine decisions should move quickly
Pichai says few decisions are truly consequential, so making ordinary decisions quickly helps maintain organizational velocity. He reserves more deliberation for choices such as combining Brain and DeepMind. Asked about AI-driven org charts, he says leaders still matter at Google’s scale, while some developers are beginning to direct teams of agents.
- 15:06Agents could lift the work baseline
Asked whether AI could replace him as CEO, Pichai says AI could help with decision-making, including allocating compute. He expects agents to change work as spreadsheets once changed financial analysis: people will start from a higher foundation and spend less time on routine tasks.
- 17:04Agent tools should converge
Pichai says reasoning, planning, using tools, and coding are building blocks for agents. He describes Antigravity’s agent harness as part of Gemini and Spark as a mode of Gemini, and says users should eventually be able to start a task such as planning a trip and have it work across products.
- 20:55Search must balance answers and sources
Pichai says Search should preserve objective answers for factual queries while allowing more personalized responses for tasks such as planning a trip. After Patel shows a Chromebook query with conflicting results, Pichai says the AI experience may be more opinionated than it should be and that Google uses long-term satisfaction measures to improve it.
- 26:52AI anxiety reaches beyond products
Pichai says public concern is understandable given the pace of change and fears about jobs, energy costs, and deepfakes; he rejects the idea that AI has only a marketing problem. He says companies should address data-center impacts, governments and the public should have a role, and Google is working on SynthID to help identify AI-generated content.
- 33:19Publishers are adapting to search changes
Asked about Condé Nast preparing for zero search traffic, Pichai says he cannot tell publishers how to plan and argues that the information ecosystem and audience habits are changing. He says Google remains committed to connecting people with web content, while lower-quality clicks are filtered out and publishers are adapting their businesses.
- 37:54Training rules remain unsettled
On whether publishers and YouTube creators should be able to opt out of AI training, Pichai says copyright, fair use, laws, and regulations will evolve, with courts weighing in. He says Google has extended a new opt-out and is in discussions with publishers.
- 39:45Agents could reshape the open web
Pichai says he expects the web to remain vibrant as people continue to publish information and connect with one another. He describes agents as the next evolution of the web and says Google’s Universal Commerce Protocol could have more impact than people expect.
- 41:15AGI means broad cognitive ability
Pichai says Hassabis used the singularity to refer to the advent of AGI. He describes a harder definition as systems able to handle a wide range of tasks, including cognitive tasks, comparably to people, and says Google is working toward a company definition.
- 43:15Today's models still need to evolve
Pichai says the underlying technology has advanced substantially, comparing continuing changes to how computer architecture evolves. He points to coding tools that can create an operating system and researchers using AI, but says the systems do not yet make novel scientific discoveries on their own.
- 45:21Capabilities matter more than the label
Pichai declines to make a specific AGI timeline the central issue. He says that three years from now, whether people call the systems AGI will matter less than their power and society’s preparation for them.
Published May 26, 2026.
Transcript · 35 min read
Decoder, hosted by Nilay Patel, with Sundar Pichai.
Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.
at CrowdStrike.com slash Decoder. Hello, and welcome to Decoder. I'm Nilay Patel, editor-in-chief of The Verge, and Decoder is my show about big ideas and other problems. Today, I'm talking with Google and Alphabet CEO Sundar Pichai in a conversation we recorded just after the Google I.O. developer conference. This is the fifth year Sundar and I have sat down after I.O., and it's become one of my favorite decoder traditions. There's always a lot of news at I.O., and this year was no exception. Google has powerful new Gemini models, it's putting AI agents in everything, and it's making huge changes to search on both the web and YouTube that will once again reshape the information ecosystem. That's a lot to talk about, and Sundar and I got into all of it, but I also realized that it's been a long time since I'd asked Sundar the decoder questions about structure and decision-making, so I started there. You'll hear Sundar say he realized he needed to rethink how Google worked a few years ago in response to ChatGPT. And he made a lot of executive changes and big decisions to get the company in a more aggressive posture. Of course, we also talked about all of those search changes and how it seems
obvious that the future of Google search is bringing things like the new intelligence search box together with Google's new Gemini Spark agent platform so that searches can set off tasks, not just deliver results. That's exciting, but it seems likely to yet again change the dynamics of the open web. If you're a decoder listener, you know that I coined the term Google zero a few years ago. That's the idea that Google traffic to websites would fall to zero as the company answered more and more queries directly on the search results page. That's gone from an idea that Sundar batted away in previous interviews to something that the entire media industry is grappling with. The CEOs of major publishers like Condé Nast are now publicly saying they're planning for a world of zero search traffic from now on. Google is also training its models on YouTube videos, and changing YouTube search to summarize and index videos so you get dropped directly into the relevant parts. That's sure to cause some creator angst, so I asked Sundar if he's ready to fight the same battles with YouTubers as he currently is with publishers. Finally, I had to ask Sundar about Google DeepMind CEO Demis Asabas ending the IO keynote by saying that we are at
the foothills of the singularity. It's no surprise that Sundar agrees with Demis, but his thoughts on the timeline to AGI are worth paying attention to. Like I said, this is one of my favorite episodes to do every year, because Sundar is always game to actually take the questions and even look at search results on my phone with me. I think you're really going to like this year's conversation. Okay, Sundar Pichai, CEO of Alphabet and Google. Here we go. Sunebha Chai, you're the CEO of Alphabet and of Google. Welcome back to Decoder. It's great to be here. Nice to see you again, Nila. Yeah, this is one of my favorite yearly conversations.
Read the whole transcript
I think we've done it at IAO now almost five times. Wow. I quite didn't realize it's been five times, but I enjoy it. Thanks again. Yeah. I want to start with a little bit of a lightning round. I was thinking about this. We've talked a lot. We always get deep into the weeds of the web and search and big, heady ideas. And I realize I have not asked you the decoder questions in quite some time. And just looking back at our previous conversations and Google itself, you've made quite a lot of changes to Google. I think a number of your direct reports have changed over time. You've obviously restructured DeepMind, platforms and devices, and Android has been restructured itself.
Tell me how Google is structured right now. OK, it is Google and Alphabet. You know, obviously, we have Alphabet as well. But broadly, I think about it as there are three main businesses in Google, Search, YouTube, Google Cloud. There are enormous platforms we run, which is Android, Chrome, and the whole area to do with it. and powering it all is all these important technology areas, which is AI and our infrastructure work. And then you have the functions to go with it. But at a high level, you can think of it as, you know, search, YouTube, Google Cloud, and then our big computing platforms. Those are the main groups.
And obviously powered with Google DeepMind and our infrastructure teams. So that's one simple way to get a mental model around it. And of course, we have other bets beyond that, Waymo being the most prominent of them all. But there are many, many other bets like isomorphic labs and so on. Yeah. I want to stay focused on the Google of it. I feel like we could do an entire hour on Alphabet and how that's structured and how that works as a public company with many bets. But just to stay focused on Google for one second. The knock on Google historically is this is a company that ships lots and lots of products.
You cancel lots of products. There's not tons of focus. There's like thousands of names of different products that are overlapping in kinds of different ways. And where that comes from, at least in my view, is that you do have these big infrastructure bets. You have all these capabilities and the people running the businesses can use those capabilities to spin up products. And there's maybe not a lot of overlap or central planning on like, did we launch two of the same thing? How do you resolve that tension? It does seem like Google has gotten a little more focused, but that is the company's culture, right?
We're going to make a lot of bets and see which ones work. How does that resolve for you? Look, I think there's a lot of intent in what we do too. I think it's not an accident. We have 13 products with a billion users each, and we've been as committed to those products longer term. You can go back and think about when Gmail launched or Maps launched or Google Docs launched or search launched or Chrome launched. And like, you know, so I've been, we've been deep and consistent in many, many areas over a long period of time as well. I do think one way I've internalized in the AI movement is for the first time, we have such a common infrastructure powering all of them with our Gemini models and the underlying AI infrastructure.
So we are more able to intently, you know, with intent, do things which cut across things, right? So personal intelligence is a great example of it. It's one effort. Obviously, users get a choice to turn it on in each of the products. But, you know, it's built with one common infrastructure so that it works consistently across your products. The underlying Gemini models itself is an example. of it. So we are able to bring that model in the context of the products, like ask maps in the context of, you know, the maps product, but a lot of the technology powering it, the voice stack, the model, the intelligence is all one work. So, which is why I think the AI moment offers us a new, really new way to think about it. And not just across Google, across Alphabet too, over time.
I think that's what makes this moment so uniquely powerful is that you can invest so much in R&D and infrastructure and develop a technology, which then you can apply across all these areas. You know, obviously, in a context in which they are useful for users, but the underlying technology platform is common. So there's a lot of intent that way and so on. You have to give room for innovation, otherwise allowing room for innovation where teams on the margin are able to ship some new features. Sometimes you later work to harmonize them. Take Notebook, Notebook LM, and Notebooks are now showing up in Gemini, right?
And it's effectively projects as Notebooks, and you can create a Notebook in Gemini, you can go to Notebook LM, you will see the same Notebooks, vice versa. So that's an example of where you innovate at first, and then you're harmonizing later. Yeah. I was watching the keynote yesterday, and I saw a lot of intent and confidence from Google. We have this core technology. We can express it in lots of ways. It's still essentially Google-y. Like, there's lots of products, lots of Gemini words. I'm going to figure them all out, I promise. I would contrast to, I don't know, three, four years ago when, you know, there was the chat GPT moment.
Everyone worried about what Google would do.
“I realized we need a core models and a core infrastructure team to power everything we are doing across Google.”
big decisions, some of them uncomfortable as you change people around. How do you make decisions? What's your framework? A big part of my framework is over time understanding that there are very, very few decisions which are really consequential, and most decisions aren't. So what matters much more is that you make the decision, because that's what determines the velocity of an organization.
And so the more you're able to make those decisions and keep the company moving forward, you're generally better off. Of course, there are a few decisions like combining and setting a Google DeepMind. Those are more consequential and you want to take your time deliberating and doing it. But a lot of decision making is about just making them. And so the more you're able to do that, you do develop over time some pattern matching and some intuition for you've seen a version of the problem before, and so I think it's good to rely on that and separate the signal from the noise so that the signal is that this is a really important decision and you want to really deliberate around it versus this is just, you know, it may look big, but it is more a normal
“We use anti-gravity internally. That's what we are providing outside.”
extra dimension to it. The number one question to Coder listeners want me to start asking CEOs, I'll just ask it straightforwardly. How close is Ed to replacing you as the CEO? No, it is today still. I just think the CEO job is not that complicated, right? It is not complicated. There are aspects of it where I think it's going to be very, very helpful in terms of decision making. I joke around that, partially joke around, which is like I have to spend a lot of time allocating compute. And I'm like, well, that seems like the AI is going to make more rational choices over time because I deal with a lot of appeals and emotions as part of working through a process like that.
So I think, look, everywhere what I see, and which is maybe a bit different to how I think, I think done correctly, these tools are going to kind of allow us to operate at the next level in everything we are doing. like you know it's not like you won't do what you were doing before you will start from a higher foundation uh i wasn't there when like i don't know spreadsheets rolled out to companies right and like i almost i have to go think back how did people do all this financial analysis before right and and i'm sure it changed over a period of three to four years fundamentally and we got used to it i think agents etc is a version of it uh it's not like you're not going to plan birthday parties uh it is just that you know what you let's say you're planning a trip somewhere maybe you're actually spending your time thinking about the actual things you want to do with your time versus chasing opening times and how to get tickets and and so on so i think it elevates everything to a different different foundation is how i think about it we have to pause here Welcome back.
I'm talking with Google CEO Sundar Pichai about some of the announcements the company just made at Google I.O.
“And Spark is just a mode of Gemini. Over time, it's a feature. We're positioning it, but it's just a tab within Gemini.”
“I think it's probably more opinionated than it should be for the particular query you showed me.”
My intuition there is, oh, that's way more opinionated. There is some chance that's personalized to you may be testing it in a way that you're uniquely personalizing. you are the reason that query might not be exactly representative though i think i think because i know how you review all these things like you know so there is some chance you're in the 0.0001 this is kind of why i'm asking about infinitely personalizable results right and i'm also asking if the experience is good because i i would bet that most people experience ai in google search
“AI is the most profound technology humanity is going to deal with. It's happening at a very fast pace.”
I think my argument is that the products do the marketing work and that's my push. I'm still waiting to see the killer app for consumers that does it. I think we have the killer app for enterprise. I want to talk about the web, though, before I burn all of- One point. There are times I've gone through a health journey in Gemini. Yeah. It feels more than a killer app to me. Yeah. better than anything i've ever done before so you know so i think it's you know so people Welcome back I'm talking with Google CEO Sundar Pichai about what Google and AI Search have done and might continue to do to the open web I want to talk about the web the health journey in Gemini that requires a rich data set of health information on the web to exist VO requires i believe you're training gemini and like youtube videos right like vo requires the youtube ecosystem
“Bounce clicks are going down. And so those are all dynamics. And people are going to a wider array of information.”
to get surfaced in search? I mean, this is a much broader topic. I do think, you know, I think both laws and regulations will have to evolve. The courts will have to weigh in. it's important to protect uh copyright it's important to protect fair use and you know and so you know these are constructs which will evolve dynamically uh through that but do you want to be in a bunch of lawsuits with youtube creators you're not lawsuit with publishers in the uk the rhetoric in that lawsuit is getting increasingly heated google has said that the proposed solution is a quote free writer charter every year the news media association sends me a quote to read you and you know they say google calling us free writers is obviously ridiculous Listen, in other words, basic supply chain economics, if the value were really all on Google's side, they would simply allow publishers to opt out.
Do you want to be in that same fight with a bunch of creators on YouTube about opting out? Look, we are constantly, as part of Jim and I, developing. We did offer a new opt-out that Google extended. And we are in conversation. with publishers will take feedback and over times, you know, work through what makes sense and write, you know, obviously it is a, we are not the only player in a big ecosystem. You know, we are also trying to put out products which are competitive to other products out there, right? And I think all the publishers will also write an article saying the product is not very, you know, so it is more complicated than it looks.
I just think you have spent more time thinking about the web and the health of the web and the necessity of the web. Paint me the picture for what a healthy web looks like in the magentic search world. One of the arguments I've made over time, and I actually see it playing around a little bit more, I've started using the web more again over the last year, year and a half. I think all these AI experiences have brought the web back more. There was a time when it felt like, but I always felt the web would be vibrant. In fact, I've argued the web is going to be vibrant every year. And, you know, I would still argue it today. You know, the web is constantly evolving. I've never seen anything as dynamic as the web, which is why it's been such a privilege to be part of that evolution. I look at agents. That is the next evolution of the web, which we will deal with.
And, you know, and I think it will evolve the web pretty profoundly. And there will be a lot of debates about what's okay, what's not. But I think the web will continue to be... People want to put out information, connect with other people. People want to be connected. People aren't trying to be in a siloed world, detached. That doesn't reflect the reality of the human experience. I think the web is going to play as central a role on it as ever before. In fact, the Universal Commerce Protocol, if anything, what we announced yesterday, I think people slightly are underestimating the impact of it.
Can I juxtapose that? There are a lot of muscular announcements about new products, new features, and agentic tools you can use,
“But we still, you know, can these tools go fundamentally make novel scientific discoveries on their own? Not yet, right?”
You know, I have always answered it this way. I think that timeline doesn't matter because the rate of progress means you're dealing with ever more intelligent systems in a profound way.
So the way I would answer that question, three years from now, whether you and I call it AGI or not doesn't matter because it'll be very, very powerful and we have to prepare for it. Yeah. Sunara, this was great. Thank you so much for letting me tell you again. Thanks, Nila. Pleasure. I'd like to thank Susan Arpachai for taking time to join me on Decoder


