Adobe Summit 2026 showcased three experimental projects in its Labs program that preview capabilities likely to reach the product roadmap in the next 12 to 18 months. Each addresses a distinct friction point in marketing execution by replacing manual processes with real-time, AI-driven alternatives.
Project Face Off introduces simulated A/B testing that predicts winning variants without running live experiments. Traditional optimization requires sending real traffic to competing variants and waiting for statistical significance. Face Off models audience response patterns to forecast which variant will outperform before any budget is spent on live traffic. This compresses the testing timeline from weeks to minutes and eliminates the opportunity cost of serving underperforming variants during the learning period.
Project Concurrent is a live data-binding plugin for Adobe Express that keeps infographics and visual content automatically updated from connected data sources. A marketing dashboard that displays real-time performance metrics, a quarterly report with current revenue figures, or a social media graphic with updated statistics all refresh automatically as underlying data changes. This removes the manual update cycle that makes data-driven visual content expensive to maintain.
Project Page Turner enables real-time, intent-based page assembly that generates layouts and messaging on the fly based on live user signals. Rather than pre-building landing page variants for each audience segment, the system assembles pages dynamically based on what it knows about the visitor at the moment of interaction. The visitor’s behavior, referral source, and inferred intent determine what content appears, in what order, with what messaging.
While Labs projects carry no guaranteed ship date, Adobe’s track record shows many reaching production within two release cycles. These three signal where the broader platform is heading: from static content and manual optimization toward dynamic, continuously adaptive marketing experiences.
Related: Adobe turning brand guidelines into a living system | Adobe rebuilding its platform around agentic AI