Adobe Retires Experience Cloud for AI-Powered CX Enterprise
Adobe retired its flagship Experience Cloud and rebuilt it around AI agents. CX Enterprise coordinates agents across data, content, and campaign delivery, shifting marketing teams from execution to oversight.
Adobe just made one of the biggest bets in its company history. At its 2026 Summit in Las Vegas, the software giant did not just announce new features. It retired one of its flagship product lines and rebuilt the whole thing around artificial intelligence agents.
The move signals something broader than a product update. It points to a fundamental change in how marketing software is designed and how marketing teams are expected to work.
From a Collection of Tools to One Connected System
For years, Adobe sold marketing software as a suite of separate products under the Experience Cloud umbrella. Teams used one tool for data, another for campaign management, another for content. The integration was there, but it still required people to stitch everything together.
That model is now being replaced. Adobe introduced CX Enterprise, a new system built to coordinate AI agents across all of these functions at once. The underlying layer is Adobe Experience Platform, which connects data, applications and agents into a single workflow.
At the center of CX Enterprise is something called the Coworker. It is not a chatbot. It is a persistent agent that translates a business goal into a sequence of actions across segmentation, content creation and campaign delivery. A marketing team defines the objective. The system handles the coordination.
What "Agentic" Actually Means for Your Marketing Team
The word "agentic" is getting used a lot in technology circles right now. It simply means software that can take action across multiple steps without a person managing each one.
Adobe's version of this works across the entire marketing workflow. Agents can gather data, generate content, run campaigns and adjust performance in near real time. The role of the human on the team shifts from manually coordinating tools to defining goals and reviewing outputs at key checkpoints.
This is meaningfully different from where AI tools were 18 months ago. Earlier AI assistance in marketing was mostly about individual tasks: write this caption, suggest this subject line. What Adobe is building is closer to a system that can run an entire campaign cycle autonomously, with people supervising rather than executing.
Brand Visibility Is a New Problem That Needs a New Solution
One of the more notable focuses at the Summit was brand control in AI-driven environments.
Search is no longer the only way people discover brands. Increasingly, consumers are asking AI systems for recommendations, and those systems generate answers based on content they have been trained on or given access to. If a brand's content is not structured for these systems, it may simply be absent from the conversation.
Adobe's response is two-part. Experience Manager was expanded with agent-based features that can update content and enforce brand rules across channels, including AI interfaces. GenStudio gained Brand Intelligence, a system that uses past content approvals and feedback cycles to guide new content and embed brand rules directly into production workflows.
The goal is to move content management from static publishing to active brand control. For communications leaders in Asia, where multilingual and multicultural brand expression adds another layer of complexity, this kind of automated enforcement could be significant.
Creative and Commerce Get Pulled In
The Summit announcements extended beyond marketing operations into creative production and commerce.

On the creative side, Adobe's Firefly now includes an AI assistant that works across Creative Cloud applications. Users can generate, edit and adapt creative assets using plain language instructions. This creative work is now connected to marketing workflows and campaign analytics, reducing the gap between design and deployment.
Commerce was also integrated more tightly into the system. New features make product data accessible to AI agents, and tools were added to support automated customer interactions through transactions and post-purchase processes. The intention is to connect marketing activity more directly to sales outcomes.
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Ecosystem Before Exclusivity
Perhaps the most strategically interesting aspect of the announcements was Adobe's approach to partnerships.
Rather than building a closed system, Adobe is embedding its capabilities into the platforms that enterprises already use. Partnerships were expanded with Microsoft, Amazon Web Services and OpenAI, with integrations that allow Adobe agents to operate within Microsoft 365 Copilot, Amazon and other external platforms.
Major agency holding groups including dentsu, Havas, Omnicom, Publicis and WPP are all committed to working within this ecosystem. System integrators like Accenture, Deloitte Digital and IBM are also embedded.
The message is that CX Enterprise is designed to fit into existing enterprise environments rather than replace them entirely.
The Gap Between Experimenting and Executing
Adobe is positioning these tools as the solution to a problem that many organizations already recognize. According to McKinsey, nearly 90% of senior marketing leaders are experimenting with AI across their workflows, but fewer than 10% have captured value across end-to-end processes.

The Summit announcements are Adobe's answer to that gap. The platform architecture changes the question from "which AI tool should we try next" to "how do we set up the right goals and governance for a system that runs itself."
For marketing leaders across Asia, where the pressure to do more with less is constant and the demand for localized content at scale is growing, that shift in question may be the most important thing Adobe announced this week.
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