Adobe unveils AI tools to accelerate marketing content creation

At Adobe Summit 2026, the company previewed a suite of experimental AI tools designed to accelerate content creation, personalise campaigns at scale, and automate complex marketing workflows across digital channels using real-time data and insights.

Adobe has unveiled a new set of experimental artificial intelligence tools aimed at reshaping how marketing teams design, execute, and optimise campaigns. Presented during the “Sneaks” session at Adobe Summit 2026, the innovations highlight the growing role of generative and agentic AI in streamlining marketing operations.

The company’s latest prototypes focus on reducing manual effort by automating content generation, enabling real-time collaboration with connected platforms, and delivering actionable insights for better decision-making. These tools are designed to support marketers across channels such as email, web, and video, offering a more integrated and responsive approach to campaign management.

AI-driven tools for content, testing and personalisation

Among the key highlights is “Project Concurrent,” which enables live integration between design tools and data sources. This allows visuals such as charts and graphics to update automatically as underlying data changes, addressing a longstanding challenge of outdated marketing assets.

Another prototype, “Project Face Off,” introduces a simulation-based approach to campaign testing. It allows teams to evaluate creative ideas by modelling how different audience personas might respond before campaigns go live. This could help marketers refine strategies and reduce the risk of underperforming content.

“Project Page Turner” focuses on dynamic web experiences, enabling users to modify webpages in real time through simple prompts. Drawing on content from Adobe Experience Manager, it allows brands to deliver more relevant and adaptable digital experiences without frequent redesigns.

Additional tools extend these capabilities further. “Project Wise Words” can transform a single creative asset into a full-scale email campaign, leveraging Adobe Journey Optimizer for personalisation and testing. Meanwhile, “Project Asset Amplify” generates multiple variations of a single image or video for use across different platforms, improving content scalability.

Towards automated and adaptive marketing ecosystems

Adobe also showcased tools aimed at enhancing experimentation and localisation. “Project Test Kitchen” enables designers to rapidly test and iterate creative concepts, while “Project Tailored Takes” supports the creation of region-specific video content using AI, integrating with platforms like Frame.io for editing workflows.

Collectively, these innovations signal a shift towards more automated, adaptive marketing environments. By combining AI-driven content generation with real-time data integration and audience simulation, Adobe is positioning marketers to move faster while delivering more personalised and effective campaigns.

While these tools are currently in the experimental stage, they offer a glimpse into how AI could significantly redefine marketing practices in the coming years.