Core Viewpoint - The article discusses the concept of "Silicon Economics" proposed by Shao Yilei, which signifies a paradigm shift in the global economic system from carbon-based to silicon-based structures driven by artificial intelligence, large models, computing power, data, and chips [1][3][10]. Group 1: Concept of Silicon Economics - Silicon Economics is characterized by the reconstruction of production materials, where intelligence replaces energy as the primary production resource, necessitating the acceleration of silicon-based infrastructure development [3][10]. - Labor dynamics will also change, with a decrease in human labor's share and an increase in the use of labor robots or AI agents [3][10]. - Trade patterns will be redefined, focusing on which countries will be exporters or importers of intelligence, the pricing of these exports, and the currencies used for transactions [3][10]. Group 2: Implications of Silicon Economics - The mission of Silicon Economics is to provide a systematic cognitive map and policy framework for new productive forces and the global intelligent economy [10][11]. - The "Power Triangle" of the silicon world includes the rights to extract intelligence, determine pricing, and settle transactions, with only China and the U.S. currently capable of providing stable supplies of computing power, data, and algorithms [11][14]. - The article highlights a critical transitional phase from "pure carbon-based" to "silicon-carbon hybrid," presenting both opportunities and challenges [11][14]. Group 3: Future Predictions - In the next 500 days, AI is expected to significantly transform the world, with algorithms dominating global productivity, potentially increasing GDP growth from 3% to 10% driven by AI [13][14]. - Stablecoins are anticipated to be linked with intelligence, with the Chinese yuan stablecoin possibly leading a new order anchored in algorithms [13][14]. - Silicon Economics is projected to become the global standard for AI economic capabilities, promoting algorithm governance and competition for intelligent sovereignty [13][14]. Group 4: Development of Intelligent Financial Systems - The Shanghai Artificial Intelligence Finance Institute (SAIFS) has developed a comprehensive "Intelligent Financial New Prototype System" to address the real demands of the financial industry [16][24]. - The system includes the SmithRM financial reasoning model and the Silicon Fin financial intelligence engine, which integrates data, models, intelligent agents, and application scenarios [16][24]. - The financial intelligence engine is designed to enhance data perception, algorithm evolution, computing power metabolism, and internal control immunity, aiming for a collaborative growth with the market [24].

齐鲁晚报·齐鲁壹点 王赟 在数据层面，蚂蚁数科构建了业内最全面与专业的金融任务分类体系，包括6大类、66小类场景，覆盖 银行、证券、保险、基金、信托等金融全场景。基于千亿级金融专业数据语料，通过可信数据合成技术 以及结合专家标注的金融长思维链（CoT）构造机制，显著提升模型处理复杂任务的能力，让大模 型"天生懂金融，出厂即专家"。 没有经过真实交易检验的AI都是纸上谈兵 拥抱AI不是可有可无的选择题，也不是锦上添花的附加题，金融行业作为AI大模型落地应用的最优场 景之一，市场规模正在呈现快速增长的趋势。 "人工智能在金融体系里的运用，会给金融机构形态、金融行业业态、金融体系生态带来巨大的变 化。"不久前的2025陆家嘴论坛上，上海新金融研究院理事长屠光绍就表示，尤其今年以来，大家谈及 金融发展情况、业务情况，都离不开人工智能。 7月27日，聚焦"AI金融+硅基经济学"核心议题，中国首个面向行长级别的人工智能金融高端对话论坛 ——"2025 WAIC人工智能金融领导者论坛"以及"数智驱动，同创共赢：AI+金融赋能高质量发展"论坛 在上海举行。2025 WAIC期间，聚焦"人工智能+金融"融合落地的大型主题展—— ...

Core Insights - Artificial intelligence (AI) is recognized as a key driver for the new productive forces in the financial industry, marking a significant technological revolution [1][2][3] - The "Silicon Fin: SAIFS Financial Intelligence Engine" was launched, representing a breakthrough in AI-driven cognitive modeling and institutional embedding in finance [1][3] - The forum emphasized the importance of global cooperation and interdisciplinary collaboration to ensure that AI promotes sustainable and equitable economic growth [1][2] Group 1: AI and Financial Integration - Shanghai is positioning itself as a hub for AI and financial integration, aiming to create a high-level open and innovative environment [2] - The forum focused on the theme "Activating New Quality in Finance" and discussed how AI can reshape financial genetics and reconstruct economic landscapes [2][3] - The development of AI in finance is linked to broader societal issues such as social equity, economic resilience, and the reformation of global governance models [2][3] Group 2: Silicon Economics - The concept of "Silicon Economics" was introduced, which redefines production factors as computing power, algorithms, and data, moving away from traditional labor-capital paradigms [3] - The mission of Silicon Economics is to provide a systematic cognitive map and policy framework for new productive forces and the global intelligent economy [3] - AI is expected to transform the foundational logic of finance, leading to smarter, more trustworthy, and higher-quality industry development [3] Group 3: Events and Exhibitions - The forum featured a digital dialogue with the late Nobel laureate Herbert Simon, highlighting the ongoing relevance of his theories in the context of AI and economics [4] - The "FinAI Exhibition" showcased the latest AI applications and innovative solutions in finance, providing immersive experiences and interactive digital engagements [5]