Meta is now testing an AI shopping assistant within its chatbot, directly challenging established players like OpenAI’s ChatGPT and Google’s Gemini in a rapidly expanding market. This move signals a broader industry trend: AI is reshaping how consumers discover and purchase products online, shifting the focus from traditional search to conversational, personalized recommendations.
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The Explosive Growth of AI Shopping
The AI shopping assistant market is projected to surge from $3.36 billion in 2024 to $28.54 billion by 2033—an almost 27% annual growth rate. North America currently dominates, holding 40% of the global share. Meta’s entry comes as other tech giants, including Amazon (with Rufus and Interests), Klarna, Shopify, and eBay, have already staked their claim.
How Meta’s Tool Works
The new Meta feature will present product carousels within the chatbot interface, responding to queries like “most popular cat toys” with recommendations. Each product will display price, brand, and links to external merchant sites. Notably, purchases will not be completed directly within Meta’s platform, meaning users will still visit third-party retailers to finalize transactions.
Is This Innovation or Imitation?
Industry analysts are skeptical. Forrester VP and Principal Analyst Sucharita Kodali calls Meta’s move a “copycat” attempt to capitalize on the AI hype, given that shopping use cases within ChatGPT and Perplexity remain limited. Kodali also questions whether Meta can offer anything better than what Instagram already provides.
The Current Landscape: A Familiar Pattern
ChatGPT and Gemini already offer similar AI shopping features. Both respond to product queries with curated lists, prices, and links to external stores. The core functionality—showing products based on user input—is largely the same across platforms.
The Bigger Picture: Trust and Behavioral Shifts
The push into AI shopping isn’t just about convenience; it reflects a fundamental shift in how consumers engage with e-commerce. AI allows for more natural, personalized recommendations, moving beyond keyword-driven searches. However, customer trust remains a significant hurdle, with nearly two-thirds of consumers fearing biased recommendations from AI-powered tools.
Furthermore, consumer behavior takes time to change; it took 16 years after the iPhone’s debut for mobile shopping to surpass desktop in the US. Meta’s success will depend on overcoming skepticism and proving its AI can deliver genuine value.
Meta’s entrance into this competitive space is a calculated risk. The company is betting that its massive user base and AI capabilities will give it an edge, but it faces an uphill battle against established players and lingering consumer concerns about trust and bias.
