Abstract Remote working has reshaped workplace dynamics, offering flexibility but also introducing challenges like loneliness and burnout, which adversely affect employee performance. This study examines the relationship between loneliness, burnout, and performance in remote work settings, focusing on the moderating role of AI-driven emotional support systems. Grounded in the Job Demands-Resources (JDR) and Social Information Processing (SIP) theories, the research draws on data from 262 employees in the Indian IT sector, collected in two phases. Findings reveal that loneliness significantly increases burnout, which, in turn, negatively impacts performance. AI-driven emotional support systems moderate these relationships, reducing the adverse effects of loneliness and burnout on employee performance. This study contributes to the literature by integrating technological interventions into established organizational behavior frameworks and situating the findings in an emerging economy context. Practical implications include leveraging AI tools alongside cultural and organizational strategies to enhance employee well-being and productivity in remote work environments. Keywords: Remote Working, Employee Loneliness, Burnout, Employee Performance AI-Driven Emotional Support Systems, Job Demands-Resources (JDR) Theory, Social Information Processing (SIP) Theory, Emerging Economies
