The rapid integration of Artificial Intelligence (AI) into business operations has profoundly reshaped decision-making, organizational productivity, and market strategies. However, the increasing dependence on AI systems has amplified ethical concerns regarding transparency, accountability, data privacy, algorithmic bias, and equity. This study investigates the primary ethical challenges arising from AI use in business and analyzes how companies navigate these issues while sustaining innovation and operational excellence. The research investigates ethical risks arising from automated decision-making systems, including potential discrimination, misuse of personal data, lack of explainability, and the impact of AI-driven automation on the workforce. In order to better understand current academic, professional, and public discourse on this topic, the study analyzes 50 YouTube videos related to AI ethics in business and survey with 25 questions including 87 participants. Findings reveal that transparency, equity, accountability, and human oversight are the leading ethical priorities in AI-driven businesses. The research concludes that embedding ethical standards within AI strategies is vital for building stakeholder trust, enabling responsible innovation, and advancing sustainable business growth in the digital economy.