Artificial Intelligence and Robots in Nigeria’s Hospitality Sector: Factors Affecting Adoption and Implications

This paper synthesizes evidence on how artificial intelligence (AI) and service robots may be adopted in Nigeria’s hospitality sector and the key factors that should be evaluated before large-scale deployment. Using a structured review approach, we searched hospitality and tourism scholarship and relevant institutional reports with keywords covering AI, robotics, service automation, hotels, and Nigeria. Twenty-six records were identified and screened; fourteen sources met the eligibility criteria for thematic synthesis. The review indicates that while AI-enabled applications such as chatbots, self-service check-in, smart room systems, and robotic cleaning are technically feasible, adoption in Nigeria is likely to be constrained by enabling conditions: acquisition and lifecycle costs, unreliable power supply and connectivity, limited local maintenance capacity, data governance and privacy concerns, and employee and guest acceptance in a service culture that values human interaction. Drawing on technology acceptance and diffusion perspectives, the study proposes a conceptual framework linking perceived value, organizational readiness, and the external environment to adoption outcomes. The paper contributes a Nigeria-focused adoption lens and practical recommendations for phased, hybrid human–technology service designs that protect service quality while strengthening skills and infrastructure.