RMNs are already using AI to analyze data, write reports, and run checks behind the scenes. Far fewer let it make decisions, like ranking products and ads, generating keywords or adjusting bids and budgets, and most targeting still runs on manual keywords and audience segments. What’s holding the industry back? Is it legacy ad server technology, a fragmented vendor stack that has to be stitched together, the cost of AI that nobody budgeted for, or reluctance to hand over control?

Join co-leads Ines Catao (Worten) and James Taylor (Particular Audience) for a candid, closed-door discussion with retailers, brands, agencies and tech partners. Together, we’ll pinpoint where the gaps are, which are real barriers versus habits, and what it would take to close them.