The Influence of Artificial Intelligence on Digital Buying Behavior

Abstract

Shubhanshu Bhatt

Artificial intelligence has become one of the most consequential forces reshaping digital commerce, altering not merely how goods are displayed but how consumers think, decide, and act during online purchase journeys. This paper examines the mechanisms through which AI technologies — including recommendation engines, conversational chatbots, personalization algorithms, predictive analytics, and visual search — influence digital buying behavior across the consumer decision-making process. Drawing on a systematic review of peer-reviewed literature, industry reports, and empirical studies published between 2019 and 2024, we analyze both the behavioral and psychological dimensions of AI-mediated shopping experiences, with specific attention to cognitive biases that AI systems are designed — deliberately or inadvertently — to activate. We compare pre-AI and post-AI digital buying patterns, document real- world deployments across major platforms such as Amazon, Netflix, Alibaba, and Shopify, and situate our analysis within current debates about data privacy, algorithmic manipulation, and consumer autonomy. Our findings suggest that AI substantially increases purchase conversion rates and consumer satisfaction under certain conditions, yet simultaneously introduces ethical risks — including filter bubbles, dark patterns, and discriminatory pricing — that remain inadequately addressed by existing regulatory frameworks. We conclude by identifying critical gaps in the current literature, particularly regarding longitudinal effects on consumer agency and the cross-cultural applicability of AI persuasion models.

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