AI‑powered community commerce refers to the blending of social forums, automated shopping assistants, and targeted marketing to surface, evaluate and buy products within community contexts. Recent platform moves — including Reddit’s new community commerce features — have accelerated interest in embedding product discovery and transactions where conversations already happen, making this topic timely in early 2026 as personalization, conversational sales, and privacy expectations converge. Key tool categories shaping this space include AI shopping assistants (ShopGuru AI, which analyzes Amazon product pages and reviews to answer product questions), virtual‑try‑on and styling platforms (LookBook AI for avatar‑based outfit discovery), multichannel engagement platforms (Brevo, which unifies email, SMS, WhatsApp, CRM and automation), SMS‑first commerce tools (TxtCart for conversational SMS and cart recovery for Shopify merchants), and agent/platform stacks (Katalis AI’s mix of autonomous agents plus human strategists, and StackAI’s no‑code/low‑code platform for building and governing AI agents). Together these tools support a common flow: community discovery and social proof → AI summarization and Q&A → personalized try‑on or recommendations → conversational checkout and retention through CRM/SMS. The result is more seamless discovery-to-purchase journeys but also new operational and policy challenges: moderation of commerce content, preserving trust in community signals, data governance across agent workflows, and ensuring explainability in recommendation and review‑summarization models. For buyers and merchants, the practical implications are clearer product discovery, faster decisioning, and more channel‑native commerce. For platforms and builders, priorities are integrating AI assistants with commerce rails, maintaining community trust, and operationalizing agent governance and privacy controls.