A June 2026 McKinsey & Company survey reveals India has the world’s second-highest AI shopping adoption rate at 76%. Indian Millennials are leading this trend, with 84% using AI tools for purchases, signaling a major shift in retail consumer behavior that companies are struggling to keep up with.
India is rapidly becoming a global leader in AI-driven retail, with a recent survey by McKinsey & Company identifying it as the second-highest market for AI-powered shopping adoption. The study, conducted in June 2026, found that 76% of Indian consumers use AI tools for product discovery and purchasing. This usage rate significantly outperforms the global average of 53%, highlighting a distinct consumer appetite for automated retail assistants in the country.
While digital-first behaviors are often associated with younger generations, the data reveals a nuanced picture in India. Millennials are the primary drivers of this trend, with 84% utilizing AI for their shopping journeys. In contrast, Gen Z shows a slightly lower adoption rate of 74%. This finding challenges common global assumptions that younger demographics are inherently more comfortable with AI, indicating that in India, the technology is finding deeper roots among slightly older, digitally active cohorts.
Beyond adoption, Indian consumers demonstrate a high level of confidence in the technology. The survey shows that 87% of local users trust AI chat and search tools for their shopping needs. This is notably higher than the global average trust score of 73%, suggesting that Indian shoppers view AI not as a novelty, but as a practical, reliable assistant for comparing products and making decisions.
Challenges for Retailers
Despite the strong consumer adoption, the retail sector faces operational hurdles in capitalizing on this shift. A primary concern for investors and industry observers is the growing gap between consumer demand for AI interaction and the ability of retailers to provide it. Currently, many companies are not yet fully equipped to facilitate seamless, AI-executed transactions.
While consumers are comfortable using AI for product discovery, the transition to fully AI-automated purchasing remains a technical challenge. Companies are currently struggling to scale their infrastructure to match this rapid shift in behavior. There is a risk that if retailers cannot bridge the gap between simple AI-assisted search and complex, secure AI-executed transactions, they may struggle to retain customers in a highly competitive digital market.
The next phase of industry growth will likely depend on whether companies can successfully integrate these AI agents into their core business systems. Investors may watch for capital spending on digital infrastructure and the ability of major retail platforms to move beyond basic chatbots toward secure, integrated purchasing systems.