The Influence of AI-Powered Recommendation Systems on Consumer Choice

Digital marketing, streaming, and e-commerce have all seen a shift in customer decision-making thanks to recommendation systems driven by artificial intelligence (AI). Through extensive data analysis, these systems improve user experience and engagement by personalizing recommendations. The impact of AI-driven suggestions on customer choice is examined in this study by reviewing previous research, case studies, and industry reports. With user preferences, behavioral patterns, and predictive analytics, it investigates how these systems affect purchasing decisions. The ethical issues of data privacy, algorithmic prejudice, and consumer manipulation are brought up by AI suggestions, even when they increase sales and customer pleasure. The study emphasizes the necessity of openness and equity in recommendation algorithms while highlighting the advantages and possible drawbacks of AI-driven personalization. Businesses, legislators, and consumers must all be aware of these elements to safely navigate the rapidly changing field of AI-powered recommendations.