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February 14, 20260 citationsOpen Access

Artificial Intelligence as a Factor in Transforming Environmental Behavior and Consumer Purchasing Power in the Digital Economy

IMINESA MIKHNO*

Key Points

  • The research aims to explore how AI impacts consumer purchasing power and environmental behavior within the digital economy.
  • Developed an optimization model for consumer purchasing behavior.
  • Analyzed the interaction of economic, technological, and socio-cultural factors.
  • Assessed the role of AI in personalizing product recommendations and mitigating consumer stress.
  • AI improves the efficiency of product selection, enabling better purchasing decisions.
  • The optimization model predicts consumer behavior and helps create optimal 'green' product baskets.
  • AI integration enhances both economic performance and ecological sustainability.

Abstract

Abstract: This paper investigates the impact of artificial intelligence (AI) on consumer purchasing power and environmental behavior in the context of the digital economy. It examines how economic, technological, and socio-cultural factors interact with consumer stress levels, thereby influencing decisions regarding the purchase of environmentally oriented products. An optimization model of the consumer basket is proposed, which accounts for AI-driven personalized recommendations, budget constraints, individual preferences, and the psychological state of consumers. The model demonstrates that AI enhances the efficiency of product selection, mitigates the negative effects of stress, and promotes conscious consumption. Practical implementation of the model enables forecasting consumer behavior, forming optimal “green” baskets, and ensuring both economic and ecological efficiency in the digital economy. The findings highlight the role of AI as an integrator of economic, behavioral, and technological factors in shaping sustainable consumption strategies.

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Cite This Study

INESA MIKHNO* (2026) studied this question.

synapsesocial.com/papers/699011932ccff479cfe58631https://doi.org/10.5281/zenodo.18617597
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