Roar’s Take On Google Marketing Live 2026

Google Marketing Live: The Future of Google Ads Is More Automated, More Agentic, and More Demanding
Google Marketing Live has always been a useful temperature check for where Google wants the advertising industry to go next. But this year’s updates feel less like a product refresh and more like a clear statement of intent.
Google Ads is moving further away from being a platform where marketers manually control every lever, and closer to becoming an AI-led operating system for growth.
That shift brings real opportunity. It also brings real risk.
The advertisers who win over the next few years will not be the ones who simply “turn on the AI”. They will be the ones who know how to feed it better data, set clearer strategic boundaries, measure incrementality properly, and use automation without surrendering commercial judgement.
Based on the updates announced, there are five big themes worth paying attention to.
1. Search is becoming more conversational and more AI-led
One of the biggest announcements is the continued evolution of ads inside AI-led search experiences. Google is testing new ad formats in AI Mode, including Direct Offers, Conversational Discovery, and Highlighted Answers. In simple terms, this means ads are no longer just being placed beside the answer. They are starting to appear within more dynamic, conversational search journeys.
That has major implications.
Search has traditionally been built around keywords, intent, landing pages, and ad copy. But if users increasingly ask longer, more complex questions inside AI-led environments, advertisers need to think beyond exact-match queries and basic RSA copy.
AI Max for Search is central to this shift. It is now out of beta, with additions such as AI Brief, text disclaimers for regulated industries, and expansion into Shopping and Travel. AI Brief is particularly interesting because it gives advertisers a way to guide Google’s AI with messaging rules, matching boundaries, and audience guidelines.
That matters because one of the biggest concerns with automation has always been loss of control. AI Brief suggests Google knows advertisers still need guardrails.
For B2B advertisers, this is important. Broad automation without commercial context can create waste very quickly. A software company, consultancy, or high-value service provider cannot afford to chase every vaguely relevant query. The future will be less about keyword lists alone and more about teaching the machine what a good customer actually looks like.
2. Lead generation is getting smarter, but only if the funnel data is there
Several updates point towards a more joined-up lead generation ecosystem inside Google Ads.
Business Agent for Leads is being piloted in markets including the US, UK, India, and Canada, giving advertisers conversational lead qualification directly on Search. Google is also introducing Leads in Google Ads, a lightweight CRM to manage, score, and sync Google-hosted form leads. Add to that Lead Intent Scores, Lead Journey Mapping, improved click-to-call ads, and Journey-aware Bidding, and the direction is clear.
Google wants to optimise not just for a form submission, but for lead quality and eventual business value.
That is a big step forward, especially for B2B advertisers. For years, one of the biggest flaws in lead generation campaigns has been the gap between platform conversion data and actual sales outcomes. Google Ads could see the lead, but not always whether that lead became qualified, progressed through the pipeline, or generated revenue.
Journey-aware Bidding is designed to learn from every stage of the lead funnel, while Lead Journey Mapping aims to give advertisers a more complete view of the lead-to-sale process. If these tools work as intended, they could make automated bidding significantly more commercially useful.
But there is a catch.
Poor data will lead to poor automation.
If businesses do not have clear CRM stages, reliable offline conversion imports, enhanced conversions, and strong lead-quality feedback loops, AI will simply optimise towards the easiest visible conversion. That usually means more leads, not necessarily better leads.
For performance marketers, the job is changing. The future PPC specialist will need to understand CRM architecture, sales handoff, funnel economics, and revenue attribution, not just bids, budgets, and search terms.
3. Demand Gen is becoming a more serious performance channel
Demand Gen received a heavy set of updates, and this is one area advertisers should not ignore.
Google is improving campaign type attribution, expanding product feeds, adding Google Maps as a selectable Demand Gen channel, introducing view-through conversion optimisation, and launching Demand Gen uplift experiments. There are also updates around creator videos, affiliate partnerships, product videos at scale, and AI-assisted campaign creation.
The most interesting part is measurement.
Demand Gen has often sat in an awkward middle ground. It is not pure prospecting in the old display sense, but it is not bottom-of-funnel Search either. Many advertisers have struggled to prove its true value, especially when last-click reporting undervalues upper-funnel influence.
The new uplift experiments and view-through optimisation suggest Google is trying to make Demand Gen more defensible as a performance channel. The update notes that adding Demand Gen to Search and Performance Max delivered reported uplifts in ROAS and sales effectiveness in closed beta environments.
That does not mean every advertiser should suddenly shift major budget into Demand Gen. But it does mean advertisers need to get better at testing it properly.
For B2B, this is especially relevant. Buyers rarely convert from one search click. They compare, delay, return, research competitors, watch videos, read content, and then eventually convert. Demand Gen could play a stronger role in shaping that journey, but only where creative, audience strategy, and measurement are handled properly.
4. Measurement is becoming the real competitive advantage
The measurement updates may be less headline-grabbing than the AI creative tools, but they are arguably more important.
Google announced enhanced budgeting tools in GA4 powered by Meridian, Qualified Future Conversions, Google Tag Gateway, broader Data Manager availability, Meridian GeoX, Meridian Studio, enhanced conversions improvements, Attributed Branded Searches, Lead Intent Scores, and broader store sales modelling.
This points to a much bigger theme: Google knows advertisers need more confidence in what is actually driving growth.
As privacy changes continue and last-click attribution becomes less useful, advertisers need a more mature measurement stack. That means combining platform data, CRM data, offline conversion data, incrementality testing, media mix modelling, and first-party data.
The universal rollout of Data Manager across Google Ads, SA360, and CM360 is especially important because connecting offline and app data has historically been too difficult for many advertisers. If Google can make data onboarding easier, more advertisers can give bidding systems the signals they need.
Google Tag Gateway is another important update. Routing tags through an advertiser’s own server, with integrations including Cloudflare, Fastly, Akamai, Webflow, Duda, and Google Cloud, shows how seriously Google is taking durability and data accuracy.
The message is simple: future performance gains will not come just from clever campaign structure. They will come from better signal quality.
5. Creative production is being compressed by AI
Asset Studio, multimodal asset generation, creative insights, and Ask Advisor all point to a future where the time between idea, asset, launch, and experiment becomes much shorter.
Advertisers will be able to generate headlines, descriptions, images, storyboards, and videos in one workflow using Google’s AI tools. Creative Insights will allow Performance Max edits to be turned into experiments, while Gemini will proactively suggest fixes around aspect ratios, logo placement, and video trimming.
This is powerful, but it should not be mistaken for strategy.
AI can help produce more creative variations. It can help remove production bottlenecks. It can help test faster. But it cannot replace the core thinking behind positioning, offer, audience pain points, category sophistication, or commercial differentiation.
For brands, especially B2B brands, the danger is creative sameness. If everyone uses the same AI tools, with the same generic prompts, aimed at the same broad audiences, the market will quickly fill with polished but forgettable ads.
The advantage will go to advertisers who can combine AI production speed with sharper human insight.
So, what does this mean for the future of Google Ads?
What we’ve learned from Google Marketing Live is that the future of Google Ads is not less strategic. It is more strategic.
The manual work is being compressed. Campaign creation, bidding, budget pacing, creative production, feed optimisation, diagnostics, and reporting are all becoming more automated. But that does not make the marketer less important.
It changes where the value sits.
The best advertisers will spend less time pulling levers and more time defining the system. They will focus on business goals, profit margins, sales-qualified leads, customer value, creative direction, audience exclusions, measurement quality, and incrementality.
The weaker advertisers will do what they have always done with automation: switch it on, trust the surface-level numbers, and wonder why lead quality drops or margins shrink.
Google is making the machine more powerful. That is obvious.
But powerful machines need better inputs.
For Google Ads teams, the priority now is clear: fix your data, sharpen your positioning, connect your CRM, improve your creative strategy, and get much clearer about what a valuable conversion actually means.
Because the future of Google Ads will not reward the advertisers who give Google the most freedom.
It will reward the advertisers who give Google the clearest direction.





