Tests show recommendations can be personalized using geolocation and inferred gender from names, with merchant links for further browsing but no built-in checkout.

analysts emphasize the role of compute power, data center energy use, and large-scale AI investment in driving AI-enabled commerce.

Meta has not disclosed referral commissions or whether brand prioritization ties to advertiser status, signaling an open question on monetization.

The tool could eventually connect to online retailers or shopping platforms, potentially enabling affiliate revenue, though broader availability and monetization plans remain undisclosed.

Observers note that Meta’s existing commerce infrastructure and user data could enable monetizable advantages, but the exact monetization model is still unresolved.

Industry expectations point to possible expansion beyond the US desktop test into mobile and international markets by mid-2026, with potential integration into Meta’s ad systems.

The testing is in early stages with Bloomberg reporting and Meta confirming the test, but no broader release timeline has been announced.

Meta’s Avocado AI project is expected to launch in early 2026 and will emphasize advanced reasoning and coding capabilities, potentially underpinning shopping features.

Meta is quietly testing an AI-powered shopping feature in its Meta AI web browser chatbot for a limited US user group, offering a visual product carousel with brand names, links, prices, and brief item explanations.

The test aligns with Meta’s broader push into agentic shopping tools announced by leadership, and mirrors moves by rivals like OpenAI and Google expanding commerce features in their AI offerings.

Current reporting notes the rollout is not a formal launch and details on scope, timing, or availability remain unconfirmed.

There is no announced plan to expand beyond US desktop users or to mobile yet; consumer adoption will depend on perceived search quality and advertiser dynamics.