In the past, demonstrating expertise required years of experience, careful thinking, and the ability to articulate ideas clearly. Today, artificial intelligence can generate polished content, frameworks, and explanations instantly. While this has dramatically increased productivity, it has also flooded the market with synthetic expertise. When expertise becomes abundant, credibility becomes scarce.

In this thought-provoking session, Adrian Low introduces the concept of the “Trust Tax”, the hidden cost professionals pay when the signals of genuine expertise become diluted by AI-generated knowledge. Drawing on economic principles such as supply, scarcity, and value creation, Adrian explores how the economics of credibility are changing in the AI era. 

Participants will learn why depth of understanding remains the foundation of credibility, how over-reliance on AI can create an illusion of expertise, and why authentic practitioners will become even more valuable as AI-generated content grows. The session also explores how professionals can use AI responsibly, not as a substitute for thinking, but as a tool that enhances clarity, insight, and reach. 

Attendees will leave with a clearer understanding of how trust is built in a world of abundant information, and how they can position themselves as credible guides rather than interchangeable voices in an AI-saturated marketplace.