As artificial intelligence (AI) rapidly transforms business operations across industries, its ethical integration is increasingly recognized as a strategic imperative. While organizations have issued AI ethics principles, the ability to implement them effectively varies significantly. This literature review examines how organizational culture influences the adoption and operationalization of ethical AI practices across sectors. Drawing on 21 scholarly and practitioner sources published between 2019 and 2025, the paper synthesizes enablers and barriers—such as leadership tone, training programs, governance structures, and cross-functional collaboration—that affect AI ethics adoption. The analysis is grounded in Ajzen’s Theory of Planned Behavior, Rogers’ Diffusion of Innovations, and Hofstede’s cultural dimensions to explain how internal norms, values, and structural supports shape implementation. A co-occurrence heatmap of key cultural themes further reveals how bundled interventions outperform isolated efforts. Findings underscore that ethical AI is not a compliance checklist but a cultural challenge requiring leadership, communication, and system-wide reinforcement. The paper concludes with actionable recommendations for managers and policymakers to build culture-driven, responsible AI ecosystems.