Google I/O and Marketing Live 2026: what leaders need to know
Google’s latest updates show how AI is reshaping search, advertising, shopping, content, measurement and decision-making.
Google has had a significant week. Across Google I/O and Google Marketing Live 2026, the company announced a wide range of updates across AI, Search, Gemini, advertising, YouTube, shopping, commerce, measurement and developer tools.
There is a lot to take in.
New AI models.
New search experiences.
New ad formats.
New shopping journeys.
New measurement tools.
New AI agents.
New creative and developer capabilities.
But for business and marketing leaders, the most important point is not the volume of announcements. It is the direction of travel.
Google is moving further into what it describes as the “agentic Gemini era”. AI is becoming more deeply embedded across Search, YouTube, shopping, advertising, productivity tools, development workflows and everyday user journeys. Google says AI Overviews now has over 2.5 billion monthly active users, while AI Mode has passed 1 billion monthly active users in its first year.
The implication is clear: AI is no longer sitting around the edges of digital marketing. It is becoming part of the interface between people, information, brands and action. For leaders, that creates opportunity, but also a need for better strategic clarity.
1. Search is becoming an AI-led decision journey
Unsurprisingly, search was one of the biggest themes across Google I/O.
Google described AI Mode as one of the biggest upgrades to Search in its history, and the latest announcements show Search becoming more conversational, multimodal and agent-led.
Google’s I/O recap says AI Mode is being upgraded with Gemini 3.5 Flash as the default model globally, and that Google is launching a reimagined Search box that can work across text, images, files, videos and Chrome tabs. It also says AI Overviews and AI Mode are being brought into a more seamless AI Search experience.
For users, this means search becomes less like typing a keyword into a box and more like having an ongoing conversation. People will increasingly expect Google to help them compare, understand, plan, decide and act. For brands, that changes the nature of search visibility.
It is no longer enough to think only in terms of traditional rankings and keyword positions. Businesses need to consider whether their whole digital presence is clear, useful, trusted and structured enough to be understood by AI systems.
That includes website content, product data, local information, reviews, FAQs, imagery, video, schema, feeds, authority signals and wider brand presence.
The practical takeaway: search strategy now needs to extend beyond SEO. The question is not just “do we rank?” It is “are we useful, trusted and understandable enough to be surfaced in AI-led decision journeys?”
2. AI Max signals the next phase of paid search
Google Marketing Live showed how advertising is being rebuilt for this AI-led search environment.
Google’s own Marketing Live summary describes Gemini as transforming the marketing process through harder-working ads, stronger creative and more integrated agentic technology. It also highlights new ad formats for AI Search, designed to feel like helpful additions to a user’s conversation.
The Google Marketing Live EMEA summary makes this even more direct. It describes Search as both a performance powerhouse and a discovery engine, with AI helping Google navigate complex, natural-language queries and capture high-value intent earlier in the journey. It also recommends using AI Max or Performance Max to capture discovery and dynamically match brands to profitable demand.
The important point for leaders is that paid search is becoming less manually controlled and more AI-guided. That does not mean strategy matters less. It means strategy matters more.
Campaigns will increasingly depend on the quality of inputs: commercial goals, conversion tracking, audience signals, landing pages, creative assets, product data, margin information and clear business priorities.
The practical takeaway: paid search teams should spend less time thinking only about manual campaign mechanics and more time strengthening the strategic inputs that AI systems use to make decisions.
3. YouTube is becoming both a brand and performance channel
YouTube was another major focus. Google’s Marketing Live summary positions YouTube as both a brand-building platform and a performance engine. The EMEA summary pdf (accessible from this link) says Demand Gen uses Search, Maps and YouTube signals to predict who wants your brand before they search, creating demand that converts. It also highlights Demand Gen enhancements, expansion to Google Maps, new product feed surfaces and more precise attribution solutions.
This is important because many businesses still treat YouTube as either an awareness channel or a content platform. Google is clearly pushing it further into the performance journey. For brands with visual products, considered purchases, service-led propositions, travel, hospitality, ecommerce or local experiences, this matters.
Video can help people understand the brand, evaluate options, build trust and move closer to action.
The practical takeaway: YouTube should not sit separately from search, paid media and conversion strategy. It needs to be considered as part of the wider discovery and demand-generation journey.
4. Commerce is moving towards AI-assisted checkout
Commerce was one of the clearest areas of change across both I/O and Marketing Live.
Google announced new Universal Commerce Protocol features, Universal Cart, Agent Payments Protocol and AI-powered shopping experiences designed to make shopping more intuitive across Search, Gemini and Maps. Google says Universal Cart will allow shoppers to buy across retailers and services, with checkout through Google Pay or transfer to the merchant’s site. It also says UCP-powered checkout will later roll out to the UK, and expand into categories including hotel booking and local food delivery.
The attached Google summary describes this as “Powering Agentic Commerce, turning curiosity into checkout”. It also makes the practical point that brands should start with Merchant Center because rich feeds are the mandatory bedrock of discovery and trust.
This is a major point for ecommerce, retail, hospitality, travel and local-service businesses. If AI systems are helping people find, compare and buy, then product and service data becomes commercially critical. Feeds, pricing, availability, descriptions, images, reviews, offers, locations, delivery information and checkout experience all become part of the AI discovery layer.
The practical takeaway: feed quality and data structure are no longer just technical hygiene. They are becoming core commercial infrastructure.
5. Measurement is becoming a growth engine, not just a reporting function
Measurement was another key theme from Google Marketing Live.
Google is positioning Google Analytics as more of a data command centre, integrating Data Manager and Meridian to help bring together data streams, causality signals, cross-channel planning and budgeting. The EMEA summary also highlights Google tag gateway, data strength, secure first-party data connections and marketing mix modelling as foundations for growth.
This reflects a wider reality. Marketing measurement has become more complicated. Customer journeys are fragmented. Privacy changes have reduced visibility. AI-led search may reduce traditional click paths. Channels influence each other. Upper-funnel activity can create demand that converts later through search, direct traffic, CRM or sales teams. That means leaders need to move beyond basic channel dashboards.
The practical question is not only “what did this campaign do?” It is “what role did this activity play in creating demand, influencing decisions and driving commercial outcomes?”
The practical takeaway: measurement needs to become more connected to decision-making. Leaders should focus on causality, incrementality, contribution, business outcomes and the quality of data being fed into platforms.
6. AI agents are moving from novelty to workflow
Google I/O also showed how quickly AI agents are moving into everyday workflows.
Google’s developer highlights described a shift from prompts to action, including Gemini 3.5 Flash, Antigravity 2.0, Managed Agents in the Gemini API and Google AI Studio updates. Google describes Antigravity as an agent-first development platform that can help developers move from an idea to a production-ready application, including parallel agent workflows, scheduled tasks and background automation.
This may sound developer-focused, but it has wider business implications.
AI agents will increasingly support research, analysis, reporting, content creation, workflow automation, customer service, campaign management, product development and internal operations.
The opportunity is productivity. The risk is unmanaged complexity.
Businesses will need to decide where AI agents can safely support work, where human review is required, what data they can access and how decisions are governed.
The practical takeaway: leaders should start thinking about AI not only as a content tool, but as an operational layer that can support workflows across marketing, sales, service and delivery.
7. Creative production is becoming faster, but judgement still matters
Google is also pushing AI further into creative development. Across I/O and Marketing Live, the direction is clear: AI will increasingly help create, adapt and test images, video, ad assets and campaign creative.
Google’s I/O recap highlights Gemini Omni as a model that can create from different inputs, starting with video, while Google Marketing Live points to Asset Studio updates designed to help marketers turn brand guidelines into creative assets faster.
This gives marketers more speed and flexibility. But speed alone is not strategy.
If every brand can create more assets more quickly, then the advantage does not come from volume. It comes from sharper creative direction, clearer positioning, better audience understanding, stronger brand control and more disciplined testing.
The practical takeaway: AI can increase creative output, but leaders still need to define what good looks like.
8. The role of marketing teams and agencies is changing
One of the most important leadership implications is what this means for marketing teams and agencies. As more execution becomes AI-assisted, the value of human expertise shifts.
Campaign setup, reporting, asset generation, bid optimisation, product recommendations and performance diagnosis will increasingly be supported by AI.That does not make people less important, indeed It makes judgement more important.
Teams will need to be stronger at asking the right questions, setting the right goals, briefing the tools properly, interpreting recommendations, challenging outputs and connecting activity to commercial outcomes.
For agencies, it also raises questions around value. If platforms can automate more delivery, clients will expect agencies and partners to bring clearer strategy, stronger commercial thinking, better creative judgement and more useful decision support.
The practical takeaway: AI will put pressure on low-value execution, but increase the importance of senior strategic guidance.
9. The bigger shift: from campaigns to connected journeys
When you join the I/O and Marketing Live announcements together, the bigger picture becomes clear.
Google is connecting Search, Gemini, YouTube, Maps, Merchant Center, Google Ads, Analytics, shopping, checkout and AI agents into more joined-up experiences.
For users, this means they can discover, compare, ask questions, watch, shop, book and buy with less friction.
For brands, it means disconnected digital activity will become a bigger problem.
SEO, paid media, product feeds, analytics, creative, CRM, website content, ecommerce, landing pages and offline sales data all need to work together.
The practical takeaway: marketing leaders need to look at the whole journey, not isolated channels.
What leaders should do next
There are seven areas I would prioritise.
1. Review your search strategy beyond traditional SEO
Consider AI Overviews, AI Mode, conversational search, structured data, topical authority, FAQs, video, images, reviews and wider brand signals.
2. Strengthen your paid media inputs
AI-led campaigns need clear goals, good conversion tracking, strong landing pages, quality creative, clean product data and realistic commercial targets.
3. Treat Merchant Center and feeds as strategic assets
For ecommerce, retail, travel, hospitality and product-led businesses, rich and accurate feeds will be increasingly important for AI-led discovery and commerce.
4. Reassess YouTube’s role in the journey
Think beyond awareness. Consider how video supports discovery, education, trust, demand generation and conversion.
5. Improve measurement quality
Focus on first-party data, tagging, offline conversion imports, marketing mix modelling, incrementality and reporting that helps leaders make better decisions.
6. Create AI governance principles
Define where AI can be used, where human review is required, how content quality is protected and what data can be connected to AI tools.
7. Connect marketing, sales, ecommerce and operations
AI-led journeys will expose gaps between departments. Strategy, content, media, data, CRM and sales processes need to be more joined up.
Final thoughts.
Google’s latest announcements are not just a list of new features. They show where the digital landscape is heading.
Search is becoming more conversational.
Advertising is becoming more automated.
YouTube is becoming more performance-led.
Commerce is becoming more agentic.
Measurement is becoming more strategic.
AI agents are moving into everyday workflows.
The challenge for leaders is to understand what these changes mean for your business, where they create opportunity and what needs to be strengthened now.
The organisations that benefit most will not simply be the ones that adopt every new Google AI feature first.
They will be the ones with clear strategy, strong data, useful content, reliable measurement, joined-up customer journeys and enough human judgement to steer AI in the right direction.
Sources and further reading
The article above is based on announcements and supporting material from Google I/O 2026 and Google Marketing Live 2026, including:
Google I/O 2026 Explore
https://io.google/2026/explore
Google I/O 2026: 100 things announced
https://blog.google/innovation-and-ai/technology/ai/google-io-2026-all-our-announcements/
Google I/O 2026: welcome to the agentic Gemini era
https://blog.google/innovation-and-ai/sundar-pichai-io-2026/
Google I/O 2026: news and announcements
https://blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/
Google I/O 2026: a new era for AI Search
https://blog.google/products-and-platforms/products/search/search-io-2026/
Google I/O 2026: Gemini 3.5
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/
Google I/O 2026: the future of software development
https://io.google/2026/explore/technical-session-38
Google Marketing Live 2026: news and announcements
https://blog.google/products/ads-commerce/google-marketing-live-2026-collection/
Google Marketing Live: a new generation of ads for the AI era of Search
https://blog.google/products/ads-commerce/google-marketing-live-search-ads/
Google Marketing Live: AI Max updates
https://blog.google/products/ads-commerce/ai-max-new-features/
Google Marketing Live: shopping and agentic commerce updates
https://blog.google/products-and-platforms/products/shopping/shopping-updates-google-marketing-live/
Google: new tech and tools for retailers in an agentic shopping era
https://blog.google/products/ads-commerce/agentic-commerce-ai-tools-protocol-retailers-platforms/
Google LinkedIn: 2026 I/O recap, in the words of Google leaders
https://www.linkedin.com/pulse/2026-io-recap-words-google-leaders-google-rwj8e/
Google Marketing Live EMEA: Top 4 takeaways for marketers
Referenced from Google’s EMEA summary PDF, covering Search, YouTube, Commerce and Measurement takeaways.
