Adobe’s CMO Insight from Cannes: Your Agentic AI Is Only as Good as the Data Beneath It

Brands rushing to implement agentic AI are hitting a wall most haven’t planned for: the quality and organization of the customer data their agents will actually run on. That’s the signal from Ryan Fleisch, head of Product Marketing for Real-Time CDP & Audience Manager at Adobe, speaking at Cannes Lions 2026.

The Data Foundation Problem

“The number one blocker brands have to really implementing an agentic AI strategy is the data foundation — because your agents are only going to be as good as the data that they’re operating off of,” Fleisch told Beet.TV. This reshapes how brands must think about customer data platforms: not as storage infrastructure, but as the strategic foundation AI agents depend on to function at all.

Key takeaways:

• Agentic AI depends entirely on data quality — poor or siloed customer data means agents will fail at the tasks they’re deployed to handle, making CDP investment a prerequisite, not an afterthought
• The role of the customer data platform has shifted from IT storage to intelligent activation — connecting customer journeys from acquisition through loyalty with real-time speed that data warehouses cannot match
• A “third collaboration silo” now exists between brands, publishers, and partners; clean room environments are emerging to break it, enabling a fuller view of the customer

AI agents require the freshest possible customer data. Marketing off hours-old or days-old profile data means agents are targeting a version of the customer that no longer exists — defeating the purpose of personalization at scale.

Read the full article on Beet.TV