India Emerges as Global Leader in GenAI Adoption for Shopping Decisions: BCG Report

A recent report by Boston Consulting Group (BCG) highlights a significant shift in how consumers are leveraging generative artificial intelligence (GenAI) for shopping decisions. According to the report, shopping has risen to become the third most common use case for GenAI globally. This trend is not limited to high-value purchases such as electronics or automobiles but has expanded into everyday shopping activities, including groceries and daily essentials. This broadening application underscores the growing consumer trust in AI-driven recommendations to influence a wide range of purchasing behaviors.

Between February and November 2025, the use of GenAI for shopping-related activities increased by 35%, indicating a rapid adoption rate within less than a year. This surge reflects both improvements in AI technology and increased consumer comfort with AI as a decision-making aid. The report specifically identifies India as a global leader in this adoption trend, suggesting that Indian consumers are at the forefront of integrating GenAI into their shopping routines. This leadership position may be attributed to the country's large and digitally savvy population, widespread smartphone penetration, and the increasing availability of AI-powered shopping platforms.

The implications of this trend are multifaceted. For retailers and e-commerce platforms, the integration of GenAI can enhance personalized shopping experiences by providing tailored recommendations, optimizing product discovery, and streamlining purchase decisions. This can lead to higher customer satisfaction and potentially increased sales. For consumers, GenAI tools can reduce the time and effort required to make informed choices, especially in categories with vast product options. However, this also raises questions about data privacy, algorithmic transparency, and the potential for over-reliance on AI recommendations.

Furthermore, the expansion of GenAI usage into everyday purchases like groceries marks a significant evolution in consumer behavior. Traditionally, AI-driven shopping assistance was more common in complex or high-involvement purchases. The normalization of AI in routine shopping suggests a broader acceptance and trust in technology to influence daily life decisions. This shift may encourage further innovation in AI applications tailored to consumer needs, such as dynamic pricing, inventory management, and personalized promotions.

From a global perspective, India's leadership in GenAI adoption for shopping decisions could have ripple effects across emerging markets. As Indian consumers set new standards for AI integration in retail, other countries with similar demographic and technological profiles might follow suit. This could accelerate the global transformation of retail ecosystems, emphasizing AI as a central component of the consumer experience.

In summary, the BCG report sheds light on the rapid growth and diversification of GenAI use in shopping, with India emerging as a key player in this space. The increasing reliance on AI for both big-ticket and everyday purchases signals a new era in retail, where technology and consumer behavior are increasingly intertwined. Stakeholders across the retail and technology sectors will need to navigate this evolving landscape carefully to maximize benefits while addressing potential challenges.