Huan Qiu Wang·2026-01-12 08:51Core Insights - The AI sector is experiencing significant growth, with various subfields such as AI marketing, Sora concept, and AIGC seeing stock surges, leading to over 20 stocks hitting the "20cm" limit up [1] - Retail is undergoing profound changes due to AI technology, highlighted by the partnership between Google and Walmart, which has made AI shopping stocks a market focus [1][3] AI Sector Performance - Multiple AI and commercial aerospace-related stocks, including Yidian Tianxia and Tianyin Machinery, have shown strong performance, reflecting high market enthusiasm for high-tech growth stocks [3] - AIGC concept stock LEO shares have performed exceptionally well, with LEO Digital focusing on AI since 2023 and launching its self-developed AIGC ecosystem platform "LEOAIAD" [3] Retail Industry Transformation - Walmart and Google announced a collaboration allowing consumers to use Google's AI assistant Gemini for shopping at Walmart and Sam's Club, marking a significant shift in retail towards AI-driven shopping [3] - The transition from traditional search to AI assistant-driven shopping is seen as a major transformation in the retail industry, with Walmart leading this trend [3] Future Outlook - The widespread adoption of AI-assisted shopping is anticipated, with Visa's global market president predicting 2026 as a pivotal year for mainstream AI shopping [4] - Morgan Stanley views this as the beginning of the "Agent-style e-commerce" era, forecasting a GMV of approximately $190 billion by 2030 under baseline conditions, potentially reaching $385 billion in optimistic scenarios [4] A-Share Market Trends - AI retail concept stocks in the A-share market have shown robust performance, with companies like Qingmu Technology and Shanghai Jiubai seeing cumulative increases of over 20% this year [5] - Analysts highlight that the "AIization" of retail is moving from conceptual hype to practical implementation, with a focus on companies that can effectively leverage AI for cost reduction and efficiency [5]