{"id":128086,"date":"2026-05-23T21:16:16","date_gmt":"2026-05-23T21:16:16","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2026\/05\/23\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/"},"modified":"2026-05-23T21:17:16","modified_gmt":"2026-05-23T21:17:16","slug":"inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2026\/05\/23\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/","title":{"rendered":"Inside Google I\/O 2026: the agentic AI shift no one saw coming"},"content":{"rendered":"<p> <a href=\"https:\/\/go.fiverr.com\/visit\/?bta=1052423&nci=17043\" Target=\"_Top\"><img loading=\"lazy\" decoding=\"async\" border=\"0\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/fiverr.ck-cdn.com\/tn\/serve\/?cid=40081059\"  width=\"601\" height=\"201\"><\/a>\n<br \/><img decoding=\"async\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/ppc.land\/content\/images\/size\/w1200\/2026\/05\/The-Power-of-Agentic-AI.webp\" \/><\/p>\n<div>\n<p>On Could 22, 2026, Google revealed a 41-minute panel session titled &#8220;Defining the agentic AI period&#8221; as a part of the Dialogues stage at Google I\/O 2026. The video, hosted on the Google for Builders YouTube channel, options Logan Kilpatrick alongside Koray Kavukcuoglu &#8211; CTO of Google DeepMind and Google&#8217;s Chief AI Architect &#8211; Liz Reid, who leads Search, Josh Woodward, who leads the Gemini App crew, AI Studio, and Google Labs, and Jeff Dean, Google&#8217;s Chief Scientist and co-lead of Gemini. The dialog was recorded on day two of I\/O and covers the technical choices behind Gemini 3.5 Flash, the structure of Gemini Spark, the function of {hardware} in inference velocity, and the way forward for human-machine interfaces.<\/p>\n<p>The Dialogues stage, in accordance with Google&#8217;s abstract revealed on Could 22, 2026, introduced collectively leaders, scientific minds, and artistic visionaries throughout a number of periods through the week. The AI Brokers session, which this text covers, was certainly one of six featured discussions, alongside separate conversations on quantum computing with Hartmut Neven and James Manyika, science with DeepMind CEO Demis Hassabis, robotics with Kanishka Rao and Boston Dynamics&#8217; Alberto Rodriguez, and cinematic creativity with director Doug Liman.<\/p>\n<figure class=\"kg-card kg-embed-card\"><iframe loading=\"lazy\" title=\"Defining the agentic AI era\" width=\"720\" height=\"405\" data-lazy=\"true\" data-src=\"https:\/\/www.youtube.com\/embed\/bc4QwDd5jB0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/figure>\n<h2 id=\"gemini-35-flash-what-changed-and-why\">Gemini 3.5 Flash: what modified and why<\/h2>\n<p>Kavukcuoglu described Gemini 3.5 Flash because the opening instalment of the three.5 collection, with a deliberate give attention to two issues: coding functionality and agentic workflows. &#8220;The largest factor that we actually wished to give attention to was getting coding and agentic workflows a lot, significantly better,&#8221; he stated. The three.0 collection, launched roughly six months earlier than I\/O in September 2025, had already reached what Kavukcuoglu known as &#8220;actually excessive ranges of reasoning and multi-modal understanding.&#8221; The three.5 collection layered agentic functionality on prime of that basis.<\/p>\n<p>The advance metric he cited was unambiguous: the crew noticed &#8220;an enormous enchancment from the place we had been six months in the past.&#8221; That hole was not merely the results of including parameters. In accordance with Kavukcuoglu, a major driver was intensive inside use &#8211; &#8220;utilizing the mannequin very, very intensely for coding and non-coding duties&#8221; &#8211; which surfaced actual bottlenecks that had been then fed again to researchers and mannequin builders. The excellence between figuring out a bottleneck and fixing it&#8217;s technically vital. Kavukcuoglu framed long-horizon duties as the particular arduous problem: &#8220;there are arduous technical challenges by way of going lengthy and fixing lengthy horizon duties.&#8221;<\/p>\n<p><a href=\"https:\/\/ppc.land\/gemini-3-5-and-antigravity-2-0-headline-google-i-o-2026-reveal\/\">PPC Land&#8217;s coverage of the I\/O 2026 developer keynote<\/a>\u00a0famous that Google used the convention to push its software-building instruments towards a mannequin the place AI brokers, not people, do the orchestration &#8211; a framing in step with what the Dialogues panel elaborated in better depth.<\/p>\n<h2 id=\"hardware-as-a-prerequisite-for-agents\">{Hardware} as a prerequisite for brokers<\/h2>\n<p>Jeff Dean addressed the {hardware} query straight. Google&#8217;s TPU programme has now reached its eighth era, and Dean described a latest separation of chip designs for coaching and inference. &#8220;We have a little bit of a separation of the designs in order that we give attention to, each coaching, which is a considerably completely different downside, then inference,&#8221; he stated. The distinction issues technically as a result of inference &#8211; working a skilled mannequin in opposition to consumer queries in actual time &#8211; imposes distinct latency necessities in comparison with the batch-processing workloads of coaching.<\/p>\n<p>The sensible consequence is velocity. Dean linked {hardware} high quality on to consumer expertise: &#8220;once you use a mannequin and it is tremendous quick, it is a way more pleasant expertise than once you&#8217;re utilizing it and it is sluggish. And that is true even when it is brokers utilizing it in your behalf.&#8221; That final phrase is critical. In an agentic context, the consumer is just not all the time current for the time being of execution. The agent could also be working duties within the background, and the mannequin&#8217;s inference velocity due to this fact impacts the whole wall-clock time of a multi-step workflow somewhat than merely a single response.<\/p>\n<p>Dean additionally recognized a secondary bottleneck that quicker {hardware} will finally expose: the instruments themselves. &#8220;When you make the mannequin infinitely quick, Amdahl&#8217;s legislation says should you&#8217;re spending half your time in instruments, you are not going to get something higher than 2x speedup,&#8221; he stated. Amdahl&#8217;s legislation is a method from parallel computing that describes the theoretical higher sure of speedup when solely a part of a system is accelerated. The implication is that as TPU efficiency improves, the limiting issue for agentic efficiency will shift from mannequin inference to the instruments brokers invoke &#8211; file techniques, APIs, databases &#8211; most of which had been constructed for human-paced interplay. &#8220;These instruments themselves are going to wish loads of consideration by way of how will we make these as quick and sturdy as we are able to,&#8221; Dean added.<\/p>\n<p>Kavukcuoglu prolonged the argument. He described Google&#8217;s inside engineering setting as closely automated however nonetheless calibrated to human cadence. Brokers working at machine velocity would require a re-engineering of that infrastructure. The result, he advised, is a virtuous cycle: &#8220;instruments get quicker, after which the fashions work higher. After which that&#8217;s one other cycle.&#8221; Dean provided a concrete instance &#8211; inside Python instruments had been rewritten in Go utilizing succesful fashions, reaching speedups of 10 to twenty occasions in a single evening of automated work.<\/p>\n<h2 id=\"gemini-spark-and-the-asynchronous-turn\">Gemini Spark and the asynchronous flip<\/h2>\n<p>Josh Woodward described Gemini Spark, the always-on 24\/7 background agent within the Gemini app, as particularly designed for asynchronous interplay &#8211; duties that run with out the consumer actively ready for a end result. Spark launched to trusted testers forward of the panel; the total rollout for Extremely subscribers was confirmed for the week following the session.<\/p>\n<p>Woodward outlined how his personal use of Spark developed. Preliminary use circumstances had been scheduled duties: &#8220;each morning, it&#8217;d undergo a bunch of stuff for me.&#8221; The following part launched trigger-based automation &#8211; for example, labelling a high-priority electronic mail and making ready a draft response when a particular sender writes in. He was cautious to notice that Spark doesn&#8217;t ship the e-mail routinely. Reid echoed that boundary: &#8220;Essential, do not ship the e-mail.&#8221;<\/p>\n<p>Info retrieval was a 3rd class. Woodward cited a private instance: every day updates on the Oklahoma Metropolis Thunder basketball crew, delivered within the tone a &#8220;die-hard OKC Thunder basketball fan would discuss to me.&#8221; The framing issues as a result of it illustrates how personalisation and tone adaptation are a part of the product design, not merely a facet impact.<\/p>\n<p>Kavukcuoglu summarised the design philosophy: &#8220;Spark is admittedly designed for this type of asynchronous interplay, versus once you go to the Gemini app chat or Search, you count on to have this dialog ongoing. However Spark is admittedly for these sorts of asynchronous interactions the place the agent goes to go and do one thing for you. After which you&#8217;ll be able to come again and verify, or it would notify you that I am finished.&#8221;<\/p>\n<p><a href=\"https:\/\/ppc.land\/google-i-o-2026-the-search-changes-seos-did-not-expect\/\">PPC Land&#8217;s analysis of the I\/O Search announcements<\/a>\u00a0confirmed that Spark runs on Gemini 3.5 Flash and integrates with Google Workspace &#8211; Gmail, Docs, Calendar, and Slides &#8211; utilizing the Antigravity infrastructure, and continues working even when the gadget is closed. Preliminary MCP integrations embrace Canva, OpenTable, and Instacart, with US availability solely at launch.<\/p>\n<h2 id=\"searchs-latency-model-and-the-value-of-waiting\">Search&#8217;s latency mannequin and the worth of ready<\/h2>\n<p>Reid launched a framework for occupied with search latency that&#8217;s extra nuanced than merely &#8220;quicker is healthier.&#8221; Customers&#8217; willingness to attend, she argued, will depend on how troublesome they understand the underlying job to be and the way a lot work the system is taking off their plate. &#8220;If the query within the consumer&#8217;s thoughts is fast, then you definitely higher be lightning quick. In any other case, they&#8217;re like, why the heck am I ready? However, if the consumer would have spent 15, 20 minutes doing it, you&#8217;ll be able to have 10 seconds, for positive, if you are able to do one thing wonderful.&#8221;<\/p>\n<p>The headline she cited for Search at I\/O was framed internally as &#8220;the largest improve to the search field in 25 years.&#8221; For long-running agentic duties &#8211; a weekend planner, for example &#8211; Reid advised that even a minute of wait time could possibly be acceptable, provided that the consumer can &#8220;set it up, go do one thing else, come again, and use it.&#8221; That could be a essentially completely different interplay mannequin from the sub-second response expectations which have ruled seek for a era.<\/p>\n<p>Reid additionally described how the collaboration with DeepMind produced enhancements in instrument use. The partnership moved from function requests &#8211; &#8220;may you please make this particular factor work for Search&#8221; &#8211; towards joint downside definition: figuring out what&#8217;s essentially difficult about instrument use as a class and discovering options that profit all surfaces, not simply Search. Kavukcuoglu described this as going to the basis trigger somewhat than fixing particular person issues: &#8220;you&#8217;ll be able to&#8217;t repair particular person issues. You all the time have to go to the basis trigger and attempt to clear up these.&#8221;<\/p>\n<p><a href=\"https:\/\/ppc.land\/google-ai-mode-hits-1-billion-users-how-search-changed-in-one-year\/\">AI Mode queries now run on average three times as long as conventional search queries, and total volume has more than doubled every quarter since launch<\/a>, in accordance with information revealed on Could 19, 2026, alongside the I\/O bulletins. The Gemini 3.5 Flash improve to AI Mode is the direct product of the model-and-Search collaboration Reid described.<\/p>\n<h2 id=\"the-antigravity-sdk-and-the-operating-system-moment\">The Antigravity SDK and the working system second<\/h2>\n<p>One of many extra putting anecdotes within the session got here from Kavukcuoglu, who described an indication proven by one other speaker throughout I\/O wherein the Antigravity system was requested to construct an working system. &#8220;A whole lot of brokers work for a day and a half. They usually come again with one thing that&#8217;s really purposeful and dealing,&#8221; he stated. He famous that even after engaged on the system for months, he nonetheless discovered the end result stunning.<\/p>\n<p>Kavukcuoglu clarified what the time period Antigravity covers technically: it consists of the consumer interface for builders, the harness, and the SDK. &#8220;The identical functionality that Search is utilizing, constructing on prime of that SDK to construct these brokers into Search, we&#8217;re enabling all of the builders and companies to make use of that very same SDK that&#8217;s actually co-developed with Gemini to construct functions for anybody who desires to make use of them,&#8221; he stated. That structural level is just not trivial. The SDK obtainable externally is identical one Google&#8217;s personal Search crew makes use of internally &#8211; which means third-party builders are working with production-grade infrastructure somewhat than a consumer-simplified subset.<\/p>\n<p>Reid confirmed that Antigravity was initially adopted experimentally inside Search, then expanded. &#8220;We began taking a look at, how will we carry a few of the agentic coding capabilities into Search? Partway by, we stated, oh, nicely, possibly for a few of these extra superior use circumstances, let&#8217;s take a look at utilizing Antigravity. After which that labored so nicely. They&#8217;re like, nicely, really, possibly we must always use it for extra issues.&#8221; The phrasing displays a bottom-up adoption sample inside one of many world&#8217;s largest engineering organisations &#8211; a knowledge level about real-world utility somewhat than a product announcement.<\/p>\n<p>Dean linked the Antigravity functionality to a broader argument about bespoke software program. Previously, he noticed, software program needed to be standardised throughout many use circumstances as a result of creation price was excessive. Lengthy-running brokers that may generate bespoke software program on demand change that calculus. &#8220;You&#8217;ll be able to simply say, I would really like this factor to exist. It&#8217;s going to go off and hopefully autonomously make that factor come into existence. After which you should utilize it.&#8221;<\/p>\n<h2 id=\"context-engineering-and-the-designmd-shift\">Context engineering and the DESIGN.md shift<\/h2>\n<p>Woodward launched a less-covered side of the agentic transition: not simply instrument velocity, however context format. Groups at Google Labs have moved away from conventional product requirement paperwork, he famous. &#8220;We have now whole groups now that have not written PRDs in months as a result of that is the previous means of doing it. You are writing, in a means, whether or not it is an MD file or different issues, the place principally one of many fashions can simply choose it up and go together with it.&#8221;<\/p>\n<p>The concrete instance he cited was Sew, a Google Labs experiment for interface design. Sew launched a DESIGN.md file format, now open supply, that codifies the design language for an utility in order that fashions can interpret and execute it straight. The shift is from paperwork written for human readers to specs which can be concurrently human- and machine-readable. Woodward described this as &#8220;instrument velocity&#8221; mixed with context preparation &#8211; each elements are wanted to make agentic workflows performant.<\/p>\n<p>Google Stream, a filmmaking instrument proven at I\/O, illustrated a associated product design shift. Woodward described a brand new space within the product the place customers can &#8220;vibe code&#8221; their very own instruments &#8211; successfully constructing bespoke software program inside a artistic utility. &#8220;As a product crew, we&#8217;re form of constructing nearly a skinny shell with the area to let those who use the instrument actually make the instrument their very own,&#8221; he stated. That method inverts the normal product design mannequin, which assumes builders specify each function earlier than customers obtain it.<\/p>\n<h2 id=\"how-the-work-itself-is-changing\">How the work itself is altering<\/h2>\n<p>All 4 panel members described concrete modifications to how they personally work. Kavukcuoglu, who reviewed each DeepMind pull request personally within the organisation&#8217;s early days and later stepped again from energetic coding as his profession progressed, stated he has returned to writing software program asynchronously with brokers. &#8220;I can do it very asynchronously. That&#8217;s what is enabling me, as a result of even when my time is cut up between many issues, at evening, I can come again to it and say, OK, what did the brokers do.&#8221; He described this as giving him &#8220;a extra productive feeling.&#8221;<\/p>\n<p>Reid recognized a unique form of change &#8211; the blurring of job boundaries. Duties that beforehand required a specialist had been blocked by startup prices: understanding which instrument to make use of, the place the information lives, easy methods to navigate a big codebase. Brokers handle these startup prices. &#8220;Why do I want to do this? It is simply because I do not really know the place the information is positioned. What&#8217;s really the case? OK. Properly, now I can simply go work with the agent.&#8221; She had returned to writing code herself after years away from it. The implication she drew was about empowerment throughout roles: product managers altering design recordsdata straight, engineers freed to give attention to efficiency somewhat than rationalization.<\/p>\n<p>Dean described diving into efficiency points in unfamiliar elements of the codebase, expressing the answer at a excessive degree, and delegating the implementation to brokers with instruction to measure the efficiency impression and run all exams. Woodward famous the shift towards doing extra work on cell and by voice &#8211; inputs that counsel brokers are enabling workflows that don&#8217;t require a desktop setting or sustained consideration.<\/p>\n<p>Dean, requested for crucial developer talent in 2026, gave a direct reply: &#8220;Discover ways to use coding instruments and brokers to be rather more productive and construct superior issues.&#8221; Reid, requested what Search may take off individuals&#8217;s plate within the subsequent yr, pointed to the drudge-work of knowledge gathering: &#8220;What&#8217;s the a part of analysis and looking out and gathering data that feels drudgery to you? And you&#8217;re feeling like you&#8217;ll be able to simply do away with that, give it off.&#8221;<\/p>\n<h2 id=\"why-this-matters-for-marketers-and-advertisers\">Why this issues for entrepreneurs and advertisers<\/h2>\n<p>The Dialogues session provides technical and organisational depth to bulletins that in any other case seem in product-announcement type. For practitioners in digital promoting and advertising expertise, a number of threads are straight related.<\/p>\n<p>First, the Antigravity SDK is identical infrastructure powering Google&#8217;s personal agentic Search options. As\u00a0<a href=\"https:\/\/ppc.land\/gemini-3-5-and-antigravity-2-0-headline-google-i-o-2026-reveal\/\">PPC Land has documented since the I\/O developer keynote<\/a>, the framing at I\/O 2026 has shifted from assistive tooling to agent orchestration &#8211; and the Dialogues panel confirms that the identical infrastructure is getting used internally at scale. Entrepreneurs constructing on these instruments are working with manufacturing infrastructure, not experimental options.<\/p>\n<p>Second, the latency mannequin Reid described has direct implications for a way efficiency is measured. Background brokers change attribution patterns as a result of they act with no single question set off. The Dialogues dialogue makes clear that that is deliberate &#8211; the product is being designed round asynchronous workflows, not as an extension of synchronous search.<\/p>\n<p>Third, the tool-speed bottleneck Dean described will have an effect on advert tech and advertising platforms particularly. Programs that deal with marketing campaign information, viewers data, and funds choices had been constructed for human-paced interplay. As Google&#8217;s personal inside instruments have been rewritten for machine-speed operation, third-party martech techniques will face the identical strain.\u00a0<a href=\"https:\/\/ppc.land\/google-warns-the-software-systems-behind-your-marketing-tools-may-not-scale\/\">PPC Land reported separately on a Google engineer&#8217;s warning at I\/O 2026<\/a>\u00a0that AI will multiply software program output by an order of magnitude or extra, and that techniques constructed for as we speak&#8217;s volumes could not scale.<\/p>\n<p>Fourth, the DESIGN.md idea and context engineering extra broadly counsel that the talent of structuring data for machine consumption &#8211; not simply human readers &#8211; is turning into a sensible competency for anybody managing artistic or marketing campaign property at scale.<\/p>\n<h2 id=\"timeline\">Timeline<\/h2>\n<ul>\n<li><strong>September 2025<\/strong>\u00a0&#8211; Google releases Gemini 3.0, that includes excessive ranges of reasoning and multi-modal understanding, establishing the muse for the three.5 collection<\/li>\n<li><strong>November 2025<\/strong>\u00a0&#8211;\u00a0<a href=\"https:\/\/ppc.land\/google-launches-gemini-3-with-generative-ui-for-dynamic-search-experiences\/\">Google launches Gemini 3 with generative UI<\/a>\u00a0for dynamic search experiences, introducing generative UI as a functionality<\/li>\n<li><strong>February 10, 2026<\/strong>\u00a0&#8211; Chrome&#8217;s WebMCP Early Preview Program begins, forward of the origin trial introduced at I\/O<\/li>\n<li><strong>Could 18, 2026<\/strong>\u00a0&#8211; Companion documentation for WebMCP revealed on Chrome for Builders<\/li>\n<li><strong>Could 19, 2026<\/strong>\u00a0&#8211;\u00a0<a href=\"https:\/\/ppc.land\/gemini-3-5-and-antigravity-2-0-headline-google-i-o-2026-reveal\/\">Google I\/O 2026 opens in Mountain View<\/a>; Gemini 3.5 collection introduced, Antigravity 2.0 and WebMCP origin trial in Chrome 149 revealed through the Developer keynote;\u00a0<a href=\"https:\/\/ppc.land\/google-i-o-2026-the-search-changes-seos-did-not-expect\/\">AI Mode upgraded to Gemini 3.5 Flash and search box redesigned<\/a>;\u00a0<a href=\"https:\/\/ppc.land\/google-ai-mode-hits-1-billion-users-how-search-changed-in-one-year\/\">AI Mode surpasses one billion monthly active users globally<\/a><\/li>\n<li><strong>Could 20, 2026<\/strong>\u00a0&#8211;\u00a0<a href=\"https:\/\/ppc.land\/google-marketing-live-2026-every-announcement-that-actually-matters\/\">Google Marketing Live 2026<\/a>\u00a0takes place;\u00a0<a href=\"https:\/\/ppc.land\/googles-ask-advisor-unifies-ads-analytics-and-commerce-in-one-ai-agent\/\">Ask Advisor launched as unified Gemini AI agent<\/a>\u00a0for Google Adverts, Analytics, Service provider Middle, and DV360<\/li>\n<li><strong>Could 21, 2026<\/strong>\u00a0&#8211;\u00a0<a href=\"https:\/\/ppc.land\/googles-gml-emea-show-what-marketers-must-know-about-the-gemini-pivot\/\">Google GML EMEA broadcast<\/a>\u00a0covers the identical AI and commerce bulletins for the EMEA area<\/li>\n<li><strong>Could 22, 2026<\/strong>\u00a0&#8211; Google publishes the &#8220;Defining the agentic AI period&#8221; Dialogues panel video on YouTube; the Google Key phrase weblog publishes the Dialogues stage highlights recap; Gemini Spark confirmed for full rollout to Extremely subscribers the next week<\/li>\n<\/ul>\n<h2 id=\"summary\">Abstract<\/h2>\n<p><strong>Who:<\/strong>\u00a0Logan Kilpatrick (Google), Koray Kavukcuoglu (CTO, Google DeepMind \/ Chief AI Architect), Liz Reid (VP, Google Search), Josh Woodward (VP, Gemini App, AI Studio, Google Labs), and Jeff Dean (Chief Scientist, Google \/ co-lead of Gemini).<\/p>\n<p><strong>What:<\/strong>\u00a0A 41-minute panel session on the Google I\/O 2026 Dialogues stage overlaying the technical foundations of Gemini 3.5 Flash, the eighth-generation TPU design cut up between coaching and inference chips, the Gemini Spark background agent and its asynchronous interplay mannequin, the Antigravity SDK and its inside use inside Google Search, the DESIGN.md open-source context format, and the way every speaker&#8217;s personal working practices have shifted as agentic tooling has matured.<\/p>\n<p><strong>When:<\/strong>\u00a0The panel was recorded on day two of Google I\/O 2026 and revealed on Could 22, 2026. The primary I\/O bulletins it references had been made on Could 19, 2026. Gemini Spark was confirmed for Extremely subscriber rollout the week following the session.<\/p>\n<p><strong>The place:<\/strong>\u00a0Google I\/O 2026, held at Google&#8217;s campus in Mountain View, California. The Dialogues stage is a separate monitor from the primary keynote. The session video was revealed on the Google for Builders YouTube channel.<\/p>\n<p><strong>Why:<\/strong>\u00a0The session issues as a result of it interprets product bulletins into the technical and organisational logic behind them. The affirmation that Antigravity&#8217;s SDK is an identical for inside and exterior builders, the Amdahl&#8217;s legislation framing of tool-speed as the subsequent agent bottleneck, and the latency mannequin underpinning Search&#8217;s agentic design choices all carry sensible implications for builders, advertisers, and entrepreneurs constructing on or competing with Google&#8217;s AI infrastructure in 2026.<\/p>\n<div class=\"post-share\">\n<p>&#13;<br \/>\n                                Share this text&#13;\n                            <\/p>\n<div class=\"socials post-share-icons\">\n                                <a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/ppc.land\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/\" target=\"_blank\" rel=\"noopener\" class=\"social\" aria-label=\"Share on Facebook\">&#13;<br \/>\n                                    &#13;<br \/>\n                                <\/a>  <\/p>\n<p>                                <a href=\"https:\/\/twitter.com\/intent\/tweet?url=https:\/\/ppc.land\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/&amp;text=Inside%20Google%20I%2FO%202026%3A%20the%20agentic%20AI%20shift%20no%20one%20saw%20coming\" target=\"_blank\" rel=\"noopener\" class=\"social\" aria-label=\"Share on Twitter\/X\">&#13;<br \/>\n                                    &#13;<br \/>\n                                <\/a><\/p>\n<p>                                <a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&amp;url=https:\/\/ppc.land\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/&amp;title=Inside%20Google%20I%2FO%202026%3A%20the%20agentic%20AI%20shift%20no%20one%20saw%20coming\" target=\"_blank\" rel=\"noopener\" class=\"social\" aria-label=\"Share on Linkedin\">&#13;<br \/>\n                                    &#13;<br \/>\n                                <\/a><\/p>\n<p>                                 <a class=\"social clipboard-link\" href=\"https:\/\/ppc.land\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/javascript:\" aria-label=\"Copy Link\">&#13;<br \/>\n                                    &#13;<br \/>\n                                <\/a><\/p>\n<p>&#13;<br \/>\n                                    <small>The hyperlink has been copied!<\/small>&#13;\n                                <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><br \/>\n<br \/><iframe data-lazy=\"true\" data-src=\"https:\/\/www.fiverr.com\/gig_widgets?id=U2FsdGVkX18x7XQvttUTrv1oEqmGNGTgvvCUiUoJ\/AP4z\/UyMz8lXGOLpu15jIMxBbTR0gmD5uBoFvhC4KWeALQRp3h\/X\/AwcVD0K8Wj9H\/ZzYKzcCNHosB9oS4SCJJFWiN85P9ICAc4OgCoE\/wHKIY7CDkf2\/DQ1vqGvk4smVe5cRDEmrLPCWi4FC8p40VUhSmWQ5udCm0zoJtorgWv3vbDQw0kKYkwn39ozAnQXDe+YvWMxkLFWA+O3TFwkJvdkIK+\/AUSnRssPKt5WHY0FhNOxnSPcLslEL4G4\/RfP95ve99U+kRnDy3X+KtzdQLY+u935ghON\/o3UE4IMv9oN6JX9RnxzL\/LRcOgnHigxStSGPKsZYtnz8RWNVT\/rOLAibqiWJadC5MYHRbekF3eg6FOGrQGkXYbsn0+a5aovnlLCbLwIqY9fcS17UX8J235iQ6cdmHNbrPeS84CMm34RA==&affiliate_id=1052423&strip_google_tagmanager=true\" loading=\"lazy\" data-with-title=\"true\" class=\"fiverr_nga_frame\" frameborder=\"0\" height=\"350\" width=\"100%\" referrerpolicy=\"no-referrer-when-downgrade\" data-mode=\"random_gigs\" onload=\" var frame = this; var script = document.createElement('script'); script.addEventListener('load', function() { window.FW_SDK.register(frame); }); script.setAttribute('src', 'https:\/\/www.fiverr.com\/gig_widgets\/sdk'); document.body.appendChild(script); \" ><\/iframe>\n<br \/><a href=\"https:\/\/ppc.land\/inside-google-i-o-2026-the-agentic-ai-shift-no-one-saw-coming\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On Could 22, 2026, Google revealed a 41-minute panel session titled &#8220;Defining the agentic AI period&#8221; as a part of the Dialogues stage at Google&#8230;<\/p>\n","protected":false},"author":1,"featured_media":128087,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-128086","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-universe"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Inside Google I\/O 2026: the agentic AI shift no one saw coming - mailinvest.blog<\/title>\n<meta name=\"description\" content=\"Technology is forever changing, and there are always new pieces of technology to replace obsolete ones. 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