Guan Cha Zhe Wang·2025-12-16 09:57Core Insights - The article discusses the transition of AI development from a "toy" phase to a monetizable stage, highlighting the launch of Baidu's no-code application platform "MiaoDa" which has generated over 500,000 commercial applications in just eight months [1][2] Group 1: MiaoDa Platform Progress - MiaoDa has seen a daily increase of over 150% in new applications, with half of these applications featuring backend capabilities, covering over 200 scenarios including education, business, content creation, and enterprise services [1][3] - The platform has created economic and efficiency value exceeding 5 billion yuan [1][3] Group 2: Creator Support Initiatives - Baidu announced the "Creator Dream Plan," aiming to support 1 million creators over the next three years through traffic support, revenue sharing, project matching, and technical assistance [1][2] - By 2026, Baidu plans to select 15 high-potential projects for expedited investment opportunities, with individual developers potentially receiving over 1 million yuan [1][2] Group 3: User Demographics and Application Types - 81% of MiaoDa users are non-programmers, primarily from workplace and university backgrounds, with applications serving over 10 million users and around 100,000 daily users [3][4] - The applications fall into three main categories: monetizable tools like e-commerce mini-programs, business software for low-cost internal systems, and AI efficiency applications for various life scenarios [3][4] Group 4: User Case Studies - Users from various industries shared success stories, such as engineers creating cost-saving design systems and content creators developing AI tools for niche markets [4] - Young creators have also utilized MiaoDa to develop innovative applications, showcasing the platform's potential to enhance creativity and practical skills among youth [4] Group 5: Industry Trends - The maturation of no-code platforms is enabling a broader range of individuals to participate in innovation and commercialization at lower costs, indicating a shift in competitive dynamics in the AI sector [5][6] - Future competition may focus on building a comprehensive ecosystem that encompasses creation, distribution, and monetization [6]