The hotel industry is undergoing rapid digital transformation driven by automation technologies such as service robots, AI-powered chatbots, self-check-in kiosks, automated housekeeping systems, and predictive maintenance tools. While automation improves guest experience and operational efficiency, its impact on workforce satisfaction remains a critical concern. Using a mixed-method approach, this study explores the relationship between automation adoption and job satisfaction among hotel employees. Surveys (N=530), interviews (N=26), and case studies from India, Thailand, Italy, and the UAE reveal that automation enhances satisfaction when it reduces workload, increases task efficiency, and provides opportunities for skill development. However, it generates stress and dissatisfaction when employees fear job loss, face inadequate training, or experience reduced human interaction. The study proposes a workforce-centered automation model to guide future hotel workforce policies and concludes that automation must be integrated with inclusive training, transparent communication, and human-centric HR strategies.