Group 1 - Alibaba International has opened its fall recruitment channel on August 5, aiming to hire around 1,000 graduates from the 2026 class, with 80% of positions related to AI, including roles in algorithms, engineering, product, operations, design, and logistics [1] - The company has been focusing on AI-driven initiatives since its inception, launching the world's first AI-native application in foreign trade, Accio, and significantly upgrading its e-commerce platforms, resulting in a hundredfold increase in usage [1] - The recruitment will take place in various locations including Hangzhou, Beijing, Guangzhou, Shenzhen, Hong Kong, and Sunnyvale, USA, with campus presentations starting in September at key universities [1] Group 2 - Over the past year, Alibaba International has published multiple papers in the AI field, with over 30 papers accepted at top international conferences, including 9 at the ACL [2] - The AI solutions from Alibaba International have received significant recognition, winning the SAIL Star Award at the World Artificial Intelligence Conference, and the open-source model Ovis has surpassed 1 million downloads [2] - Alibaba Group has initiated its fall recruitment for the 2026 class, planning to issue over 7,000 offers, with AI-related positions making up more than 60% of the total, an increase from 50% in the spring recruitment [3] Group 3 - Other major tech companies are also increasing their recruitment in the AI and tech development sectors, with ByteDance seeing a 23% year-on-year increase in R&D positions, and JD.com planning to open 35,000 positions across various sectors [4] - Meituan is set to recruit 6,000 people, including specialized programs aimed at attracting top tech talent globally [4]

Core Insights - Alibaba International's AI solution Marco won the SAIL award at the 2025 World Artificial Intelligence Conference, marking it as the first in its field to receive this recognition [1] - The AI solution supports over 30 languages and covers more than 60 e-commerce scenarios, providing cost-effective solutions for marketing, compliance, and after-sales [1] - The average daily usage of Alibaba International's AI services has surged to over 1 billion calls as of July 2025, compared to just 1 million in 2023 [1] Group 1 - The most frequently used AI features by merchants include image translation, image recognition for product information enhancement, and marketing copy generation [1] - The translation feature transitioned from a small model to a large model by the end of last year, resulting in a 30% increase in consumer satisfaction in top European languages [1] - AI-driven SEO now accounts for nearly 40% of overall SEO efforts, with potential to reach 50% or more in the future [1] Group 2 - Alibaba International has introduced various AI agents, including a smart refund agent, HScode agent for customs compliance, and an online recruitment agent [2] - The smart refund agent has reduced refund costs for merchants by 15% through its multimodal understanding and reasoning capabilities [2] - The accuracy of the HScode agent has improved by 23%, while the online recruitment agent has nearly doubled the effectiveness of email acquisition [2] Group 3 - Alibaba International's core AI technologies, including the Marco large language model, Ovis multimodal model, and Agentic ADK for agent application development, have all been open-sourced [2]

Core Insights - Alibaba's international cross-border e-commerce AI solution, Marco, won the SAIL Star Award at the 2025 World Artificial Intelligence Conference, marking it as the first recipient in this field [1] - Marco, developed by Alibaba's AI Business team, supports over 30 languages and covers more than 60 scenarios across the e-commerce value chain, providing solutions for marketing, compliance, and after-sales at a lower cost than mainstream large models [1] - The daily usage of Marco has reached 1 billion calls, a 1000-fold increase compared to 2023, and all capabilities are available for trial on Alibaba's AI open platform, Aidge [1] Technology and Application - In April 2023, Alibaba International Digital Commerce Group established a dedicated AI large model department, AI Business, to explore AI technology in global e-commerce scenarios [3] - All e-commerce platforms under Alibaba International have integrated AI solutions, with the most frequently used AI features being image translation, image recognition for product information enhancement, and marketing copy generation [3] - The translation feature transitioned from small models to large models by the end of last year, resulting in a 30% increase in consumer satisfaction in top European languages due to improved translation quality [3] - AI-driven SEO now accounts for nearly 40% of overall SEO efforts, with potential to reach 50% or more in the future [3] - External partners have seen a 23-fold increase in AI usage, with major cross-border e-commerce service providers integrating Alibaba's AI services [3] - The call volume for Alibaba's AI services doubles every two months, with an average daily call volume exceeding 1 billion as of July 2025, making cross-border e-commerce the first industry to achieve large-scale AI application [3] Technical Architecture - Alibaba International AI Business has developed a comprehensive AI solution for cross-border e-commerce, consisting of a five-layer technical architecture [4] - The infrastructure layer includes the MarsEngine inference engine, which optimizes token generation scheduling, KV cache, operator fusion, and computation, achieving a 116% improvement in extreme throughput compared to industry-leading engines [5] - The data layer has established a large-scale data collection, processing, and screening platform for model training, along with an evaluation framework for industrial applications [5] - The model layer offers multi-language enhanced Marco-LLM, e-commerce optimized translation model Marco-MT, self-developed multi-modal understanding model Ovis, and image generation model [5] - The product layer provides standardized capabilities for various business scenarios [5] - The AI solution layer delivers end-to-end AI capabilities or product collections for high-value scenarios [5]