What marketers need to know from Google Cloud Next ’26

Google Cloud’s annual conference featured dozens of announcements aimed at enterprise marketers. Some represent genuinely new capabilities. Others are early-stage partnerships with vague timelines, or existing products repackaged under the conference spotlight. Sorting out which is which matters if you are trying to make real technology decisions — so here is a look at the nine most significant announcements, what they mean, and how much you can actually use today. One thing worth noting upfront: Most of the marketing-focused announcements from Cloud Next ’26 are customer and partner stories, not Google product launches. Google is not building a marketing cloud. It is embedding Gemini AI models into tools marketers already use — Salesforce, SAP, Slack, WPP’s agency platform — and betting that owning the AI layer is more valuable than owning the workflow. “This isn’t about offering individual services that can be cobbled together; it is about providing a comprehensive backbone for innovation,” Thomas Kurian, CEO of Google Cloud, said in his keynote remarks. Whether that strategy pays off for marketers depends heavily on how well those integrations actually work in practice, which takes time to figure out. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with 1: Gemini Enterprise for CX powers most of this Most of the customer-facing AI announced runs on Gemini Enterprise for Customer Experience, Google Cloud’s platform for building AI agents — shopping assistants, voice agents, and similar tools. Most of it is currently available through Google Cloud, so enterprises with Google Cloud contracts can use it today. What the announcements do not tell you: what it costs, how long typical implementations take beyond the headline cases, or how deployments perform outside of controlled pilots. Keep that in mind as you read the case studies below. 2: Is UCP a new standard or a Google dependency? Google introduced the Universal Commerce Protocol (UCP), an open standard that lets retailers plug their product catalogs and checkout flows directly into Google’s AI surfaces — AI Mode in Search and the Gemini app. In theory, this means shoppers can ask Gemini for product recommendations and complete a purchase without ever leaving the conversation. Ulta Beauty is among the first retailers to use it, with a rollout expected within the next month. The word “open standard” deserves scrutiny. Google is proposing UCP as an open protocol, but the primary beneficiary of broad retailer adoption is Google — it becomes the default commerce layer inside its own AI products. Retailers who integrate get visibility in Gemini and AI Mode in Search. Those who do not risk being invisible in those, just as they once risked invisibility without a Google Shopping feed. Separately, Ulta launched Ulta AI, an on-site shopping assistant built on Gemini Enterprise for Customer Experience, and drawing on data from its 46 million-plus loyalty members. That part is live now on Ulta.com, with an app rollout coming. What it means for marketers: The UCP question is not really about whether you should integrate — if Google’s AI surfaces become a significant commerce channel, you will need to. The question is when, and at what cost. Right now, this is very early, with limited retailer participation and no clear data on how much commerce is actually flowing through AI Mode in Search. Watch the adoption curve before committing significant resources. Availability: Ulta’s UCP integration goes live within the month. Broader program details — including how other retailers enroll, technical requirements, and any revenue-sharing terms — have not been fully disclosed. 3: What Macy’s ‘four weeks’ claim actually means Macy’s announced “Ask Macy’s,” a conversational shopping assistant built on Gemini Enterprise for Customer Experience that helps shoppers navigate a catalog of more than 2.5 million stock-keeping units. The headline claim: it was built and deployed in four weeks. That figure is doing a lot of work. Four weeks to a functional demo is very different from four weeks to a production system serving millions of customers at scale. The press release does not specify what “built” includes — whether it covers data preparation, integration with existing commerce systems, quality assurance, or the legal and compliance review that large retailers typically require before customer-facing AI launches. Macy’s is also a longstanding Google Cloud customer, which means the underlying infrastructure was already in place. None of that means the deployment is not real or impressive. Cart abandonment rates running around 70% for ecommerce are a genuine problem, and conversational AI that replicates an expert store associate’s guidance is a legitimate solution. But “four weeks” as a benchmark for your own organization should be treated with caution. What it means for marketers: Conversational shopping agents are becoming table stakes for large retailers. That is the real takeaway — not the speed claim, but the fact that Macy’s, Ulta, and others are deploying these now, which will raise customer expectations across the category. Availability: Ask Macy’s is live on Macy’s digital properties. The platform it runs on is generally available to Google Cloud customers. 4: Home Depot’s AI voice agents The Home Depot announced AI voice agents for customer phone calls to its U.S. stores. Rather than navigating a phone menu, customers describe what they need, and the system routes or resolves the inquiry in natural language. A 50-store pilot showed the system understanding customer intent in fewer than 10 seconds — four times faster than traditional menus. This is one of the more credible announcements because it comes with a real pilot, a specific metric, and a defined rollout plan. The agents can check order status, build shopping carts from verbal project descriptions, and handle calls in multiple languages. Home Depot also noted that store associates in the pilot reported higher job satisfaction — more time for in-store customers, less time fielding routine phone calls. The caveat: “Expanding to all U.S. stores over the coming year” is a plan, not a shipped product. Home Depot has thousands of stores. A 50-store pilot is roughly 1% of that footprint. What it means for marketers: AI voice agents at this scale create a new stream of structured customer intent data — what people are actually calling about, in their own words — that marketing teams have not had access to. How that data gets used for campaign planning and personalization is a question worth asking if your organization is considering similar deployments. Availability: Pilot live at 50 stores now. Full U.S. rollout planned over the coming year. 5: WPP and Google Earth AI WPP announced it integrated Google Earth AI — Google’s planetary-scale geospatial intelligence, including population movement, weather modeling, and real-time traffic — into WPP Open, its proprietary agentic marketing platform. The integration allows WPP agency clients to factor physical-world signals into digital campaign planning: trigger a campaign when weather shifts in a target market, pre-validate media reach against real foot traffic rather than modeled estimates, or build location-specific audience indexes like WPP’s cited example of an “Electric Vehicle Readiness Index” mapping charger availability to potential EV buyers by locality. “People don’t just live in the digital world — they live in the physical world,” said Stephan Pretorius, chief technology officer at WPP, in a press release. That is a fair point, and the capability being described is genuinely novel. More than 80% of retail sales still happen offline, and connecting physical-world signals to digital marketing decisions has been a longstanding gap. But here is the important context: This is not a Google Cloud product you can buy. It is a WPP Open capability, meaning it is available only to brands working with WPP agencies — GroupM, Ogilvy, Grey, and others in the WPP network. If you are not a WPP client, this announcement tells you where the industry is heading, not what you can do today. It is also worth noting that WPP is under significant financial and competitive pressure, losing major accounts to rivals. This partnership is partly a WPP differentiation play — a way to offer something its competitors cannot easily replicate quickly. What it means for marketers: If you work with WPP agencies, ask about access to these capabilities now. If you do not, watch for similar geospatial-augmented planning tools to emerge from other platforms and agency networks over the next 12 to 18 months. Availability: Available to WPP Open clients now. Not a self-serve product. 6: SAP and Google’s marketing automation integration SAP and Google Cloud announced an integration that brings SAP’s Joule AI agents into SAP Customer Experience (SAP CX) solutions, with Gemini Enterprise acting as the coordination hub. The promised capability: a marketer sets a plain-language objective — “Increase repeat purchases from the last 30 days” — and a Joule agent handles end-to-end audience segmentation, content personalization, and campaign execution. This is one of the most substantive marketing technology announcements to come out of the conference because it addresses a real and documented problem. According to SAP’s research, more than half of marketers say fragmented, outdated data prevents them from acting in the moment. The zero-copy data sharing between SAP Business Data Cloud and Google BigQuery is a meaningful architectural choice — agents can draw on both data ecosystems without moving data between platforms, which simplifies governance. The significant catch: this is not available yet. Marketing is described as “the first use case” and will be available to customers “in the second half of 2026.” That means at least six months from now, and “H2 2026” is a conference announcement, not a shipping date. Enterprise software integrations between two large platforms routinely slip. What it means for marketers: If your organization is already on SAP for commerce and customer data, this is worth tracking closely and raising with your SAP account team. If you are not an SAP customer, this is a roadmap item for a different ecosystem. Availability: Not yet available. Planned for the second half of 2026. 7: Salesforce and Google partnership Google Cloud and Salesforce announced an expanded integration connecting Salesforce Agentforce with Gemini Enterprise. The headline: AI agents can now work across Slack, Google Workspace, and Salesforce CRM simultaneously, sharing context and taking action without users switching tools. Specific features include Agentforce Sales agents accessible inside Gemini Enterprise, Gemini accessible inside Slack, and zero-copy data sharing between Salesforce Data Cloud and Google BigQuery. The competitive subtext here is significant and worth stating plainly: Salesforce competes directly with Microsoft in the CRM market. Microsoft’s Copilot, embedded across Microsoft 365, Teams, and Dynamics, is arguably the most aggressively marketed enterprise AI product right now. The fact that Salesforce is deepening its AI partnership with Google — rather than doubling down on Microsoft — is a meaningful signal about where enterprise confidence in Gemini is heading, and about the limits of the Microsoft-OpenAI relationship in the eyes of at least one major platform vendor. The less exciting reality: The press release is short on specifics about what is actually available today versus what is coming. “Integrations are rolling out now,” and “the two companies will develop new features” appear in the same document, indicating some of this is live, and some is a roadmap. The companies have not provided a consolidated GA date for the full feature set. What it means for marketers: If your stack is Salesforce + Google Workspace + Slack, ask your Salesforce rep which features are live today. Do not assume everything in the announcement is available. Availability: Some integrations are rolling out now. Full feature set GA dates not specified. 8: ServiceNow and Google partnership ServiceNow and Google Cloud announced that AI agents across Gemini Enterprise and the ServiceNow AI Platform can work together in a single automated chain, with use cases cited in retail, 5G networking, and IT operations. For retail marketers, the implication is that promotional changes could automatically trigger coordinated marketing and supply chain responses. This is the thinnest announcement when it comes to concrete, usable facts. The press release is high on vision and short on specifics about what is actually built, what is available, and what it costs. Availability: Partnership announced. Product availability, pricing, and integration specifics are still being disclosed. See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with 9: The $750 million partner fund Google Cloud announced a $750 million fund to support the development, adoption, and education of agentic AI across its partner ecosystem — agencies, system integrators, software vendors, and consulting firms. To be clear, this is not $750 million in grants to marketers, and it is not a product. It is Google Cloud investing in the ecosystem of companies that build on its platform — the same strategy Microsoft has used for decades to grow Azure adoption by funding partner development. The money goes to vendors and agencies building Google AI-powered tools, not to the marketing organizations using them. The practical implication is that you will likely see more Google-Cloud-powered capabilities from the agencies and software vendors you already work with over the next 12 to 18 months. But that is an indirect benefit, and the timeline is uncertain. Availability: Fund announced. Partner program details to follow. The bigger picture of what Google is really doing here Overall, Cloud Next ’26 revealed a fairly coherent Google Cloud strategy for the martech market — one that is driven as much by competitive pressure as by product innovation. Google Cloud is third in the overall cloud infrastructure market, trailing Amazon Web Services and Microsoft Azure by significant margins. Microsoft’s particular advantage in enterprise marketing technology is its deep integration with the tools organizations already use — Office 365, Teams, Outlook, and, increasingly, Copilot, which is woven into all of them. Alphabet committed $75 billion in capital expenditures for 2026, primarily for AI infrastructure, to help close that gap. Google’s response isn’t a Microsoft-style suite that owns the full workflow. It is making Gemini the AI engine inside the tools that already own those workflows — Salesforce for CRM, SAP for commerce, WPP for agency services, and Slack for team communication. That is a sensible strategy, but it also means Google’s success in marketing technology depends on partners executing well, on integrations working as promised, and on enterprises choosing Google’s AI layer over the alternatives — primarily Microsoft’s OpenAI-backed models — within those same platforms. The announcements are mostly signals of intent and early deployment rather than mature, widely available products. The retail AI stories — Macy’s, Ulta, and Home Depot — are the most credible because they come with deployed products and real metrics, even if those metrics are selective. The platform integrations — SAP, Salesforce, and ServiceNow — are largely dressed-up roadmap items. And the WPP partnership, while genuinely interesting, is only accessible through one agency network. All in all, some of what Google announced is worth watching, a little of it is worth acting on now, and most of it will be clearer in six to 12 months once the partner integrations ship and the real-world deployments accumulate enough data to evaluate. The post What marketers need to know from Google Cloud Next ’26 appeared first on MarTech.