E-commerce has become one of the important catalysts in the transformation of the digital economy, offering unprecedented advantages in terms of scalability, convenience, real-time responsiveness, and customized customer engagement (Wamba et al., 2020).  Organizational resilience has become an impeccable strategic imperative in response to dynamic market conditions. Concurrently, Artificial Intelligence (AI) is reshaping e-commerce practices through real-time demand forecasting, predictive decision support, and adaptive logistics, positioning AI as a potential catalyst for resilience. This study investigates how AI adoption influences organizational resilience in e-commerce firms through an exploratory qualitative approach. Data were collected via semi-structured interviews with managers, technology leads, and domain experts involved in AI-driven initiatives, supplemented by secondary sources for triangulation. Inductive thematic analysis identified seven core themes: organizational learning, predictive decision support, risk management, transparency, agile procurement, supply chain consistency, and last-mile delivery. Findings reveal that AI not only enhances operational efficiency but also serves as a socio-technical enabler of resilience by supporting proactive decision-making, improving visibility across processes, and fostering a culture of continuous learning. The study contributes to the literature by elucidating systemic pathways through which AI strengthens resilience across strategic, operational, and cultural dimensions in e-commerce firms. Limitations include contextual specificity, reliance on cross-sectional qualitative data, and potential retrospective bias. Overall, this research highlights the interdependent role of AI as both a technological and organizational mechanism for fostering resilience in volatile digital marketplaces.