Andrea joined Antonios Ilias on the TECS Lens podcast to talk through where paid advertising fits inside conversational AI. The conversation starts from a simple observation: most digital advertising today is built around interruption, behavioral tracking, and one-way messaging. Andrea's view is that AI conversations work differently — users already state what they need in the course of the chat, and a relevant, clearly labeled ad can appear alongside the organic answer rather than breaking into it.

From there, the discussion covers the move from cookies to context-based targeting, what changes for users when they can ask an advertisement a follow-up question directly, and how advertising can help AI developers monetize products that are expensive to run but hard to support on subscriptions alone.

Andrea also unpacks what it takes to build a two-sided marketplace between AI publishers and advertisers — why liquidity on both sides is central to performance — and how Thrad approaches the balance between monetization, privacy, relevance, and user trust as that marketplace grows.

Watch the full conversation below or on TECS Lens.