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Meta Muse AI Shopping Assistant Sees Mixed Retailer Adoption

Meta's new AI shopping tool, Muse, has been integrated by beauty retailer Sephora and Gap, but Amazon has blocked it citing privacy concerns.

By ABB Newsroom8 October 20262 min read
Photo: RDNE Stock project / Pexels

Meta Introduces Muse AI for Shopping

Meta, the parent company of Facebook, introduced its Muse AI personal assistant in Fall 2026. This new tool allows users to receive product recommendations and complete transactions directly within a chat interface. Several retailers have already integrated Muse into their systems, including the beauty retailer Sephora and apparel brand Gap.

Conversely, other major retailers, such as Amazon, have opted to block the tool. Amazon cited privacy concerns as its reason for not adopting Muse. Industry experts are currently assessing the potential impact of Meta's new AI assistant, particularly focusing on issues of consumer trust and broader retailer access.

Consumer Trust Remains a Key Barrier

Melissa Minkow, global director of retail strategy at CI&T, recognizes Meta's entry into agentic commerce as a notable development. However, Minkow questions whether Muse is ready for widespread adoption. She indicates that while many shoppers are receptive to using AI for product research, fewer feel comfortable allowing it to manage their spending.

Minkow identifies consumer trust as the primary obstacle, stating that Meta, despite its established messaging platforms, must work to earn sufficient trust for agentic commerce. She adds that Muse's stated goal of helping consumers find optimal prices and compare items aligns with what data shows consumers want from this technology.

Amazon's Block and Market Perspectives

Amazon's decision to block Muse presents a significant challenge for the AI tool. Barney Stacher, CEO of Retail OCD, suggests that Amazon's concerns extend beyond authorization and security, likely including commercial competition over control of product discovery, recommendations, and customer relationships.

Stacher also echoes concerns about consumer safety, noting that allowing AI to suggest options is a smaller step than letting it spend money or share personal data. Neil Saunders, managing director at Globaldata, states that Muse is far from becoming a dominant shopping tool.

Saunders also explains that agentic commerce will play a larger role in discovery and ideation, rather than directly in the buying process, noting that most retail sales still occur in physical stores.

Implications for Asia's Beauty Brands

Frankie Margotta, strategy director at Triptk, agrees that it is too early to determine Muse's long-term success but highlights its branding strategy as a significant shift.

Margotta observes that Muse's anthropomorphism and gamification can make AI feel less abstract and more approachable, potentially lowering the barrier for consumers to try it for less critical tasks like beauty product shopping.

For Asia's beauty brands, the effectiveness of platforms like Muse will depend on Meta's transparency regarding data usage and the tool's ability to provide sustained utility beyond its initial novelty.

Brands should monitor Meta's efforts to build consumer trust and track user adoption rates, especially within beauty retail channels like Sephora, to gauge future engagement strategies by the end of 2027.

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