This paper develops a predictive conceptual framework for understanding trust evolution in AI-mediated commerce. Drawing on principal-agent theory and the historical precedent of Google Search, the paper presents a three-phase trust lifecycle model and introduces the concept of "computational trust".

This paper introduces 'algorithmic loyalty,' a conceptual framework examining how AI agents exhibit persistent brand preferences based on functional optimization, challenging traditional human-centric loyalty models.

This paper introduces 'The Shopper Has No Eyes' framework, analyzing how traditional branding's reliance on sensory appeal and emotional resonance is challenged by autonomous AI purchasing agents. It proposes a shift to data transparency and the 'Great Value Sort.