Abstract

The rise of robo-advisors represents a transformative application of AI in personal finance, offering algorithm-driven, personalized investment advisory at scale. This paper investigates how robo-advisors leverage AI (e.g. machine learning and automated portfolio algorithms) to provide tailored financial services, and examines the ethical considerations that accompany this shift. Through a comprehensive literature review and case analysis of platforms like Betterment, Wealthfront, and Nutmeg, we identify that AI-powered robo-advisors deliver cost-efficient portfolio management, improved diversification, and mitigation of some human biases in investing. However, significant ethical challenges emerge, including data privacy risks, algorithmic bias in recommendations, opacity of AI decision-making, and questions about accountability and client autonomy. We discuss regulatory frameworks and governance approaches – such as fiduciary standards and transparency guidelines – intended to address these risks, noting current gaps and proposals for stronger oversight (e.g. explainable AI requirements and conflict of interest disclosures). The study contributes a novel synthesis linking AI-driven personalization with ethical dimensions in financial advisory services. It provides policy recommendations for regulators and practical insights for financial institutions to ensure that the adoption of robo-advisors aligns with principles of trust, fairness, and client protection.