Core Viewpoint - The article discusses the transformation of brokerage apps driven by artificial intelligence, highlighting the shift from traditional tools to intelligent, personalized investment partners [2][11]. Group 1: AI Transformation in Brokerage Apps - The securities industry is transitioning from "tool empowerment" to "intelligent reconstruction" as financial technology enters the era of large models [2]. - Guangfa Securities has upgraded its core trading platform, "Yitaojin APP," to become an AI-native intelligent investment partner, marking a new phase in brokerage app development [2][4]. Group 2: Addressing Challenges with AI - Common issues in brokerage apps include bloated functionality, information overload, complex interactions, and lack of personalization, which necessitate smarter solutions [3]. - Guangfa Securities emphasizes that AI should be the business core rather than a simple add-on, leading to the development of the "Tianji Zhirong" model to serve as the core technology engine for the Yitaojin APP [3][10]. Group 3: Core Leap in Intelligent Services - The upgraded Yitaojin APP fundamentally changes service logic by allowing AI to understand user intent rather than requiring users to adapt to functionalities [4]. - The app features over ten AI modules covering the entire investment journey, including iAssistant, iMarket Monitoring, iTrading, iReview, iNews, iAdvisory, iSmart Investment, and iAccount [4][5]. Group 4: Full-Scene AI Empowerment - AI capabilities are deeply integrated into high-traffic scenarios such as market monitoring, trading, news, and account management, enhancing user experience [5][6]. - The app provides personalized suggestions and optimizations based on historical data and market conditions, significantly improving information retrieval efficiency [5][6]. Group 5: Conversational Revolution - The upgrade breaks traditional Q&A service limitations, focusing on a conversational approach where AI can proactively understand investor intent [8]. - The new investment assistant, "iAssistant - Yitaojin Plus," offers 24/7 conversational support for various investment scenarios, enhancing user engagement and decision-making [8][9]. Group 6: Human-Machine Collaboration - Guangfa Securities promotes a "human-machine collaboration" model where AI acts as a supercomputing engine while human experts focus on decision-making [10]. - The "iAdvisory" module leverages AI to enhance advisory services, creating a comprehensive advisory system that combines intelligent tools with professional insights [10]. Group 7: Future Outlook - The comprehensive upgrade of the trading platform aims to evolve investment services from "cold tools" to "digital partners" that understand finance and market dynamics [11]. - Guangfa Securities plans to continue leveraging the "Tianji Zhirong" model to lead the transformation of intelligent services in the brokerage industry, enhancing digital development levels [11].

Core Insights - The forum "Breaking Circles and Integration" focused on the profound impact of artificial intelligence (AI) on industry transformation and the global economic landscape [1] - The discussion highlighted the strategic importance of AI in enhancing enterprise competitiveness, growth, and future readiness [1] Group 1: AI Transformation in Finance - AI large models are leading a new technological revolution, providing "technological equality" that reduces information asymmetry between supply and demand in the financial sector [2] - The implementation of nearly 50 AI large model application scenarios at GF Securities includes customer service, research report analysis, and code writing [2] - The "Tianji Zhirong" platform integrates various AI assistants into a single entry point, enhancing employee convenience and providing real-time business support [2] Group 2: Changes in Team Dynamics - The adoption of AI is significantly changing team work modes, allowing members to focus more on innovative thinking rather than basic tasks [3] - The core competencies of securities firms, such as trading and investment research capabilities, are being enhanced through intelligent applications of AI [3] Group 3: Talent Team Reconstruction - GF Securities is restructuring its talent teams to adapt to the AI era by forming cross-departmental large model working groups for collaborative exploration of new AI applications [4] - The company is enhancing AI literacy across all employees through systematic training to maximize the effectiveness of AI large models [4] - There is a focus on building a diverse and composite talent structure, emphasizing the need for professionals with both AI technical backgrounds and financial expertise [4]

Core Insights - The forum on "Breaking Circles and Integration" highlighted the rapid transformation of the global economy driven by artificial intelligence (AI) [1] - The event showcased the release of the "Top Ten AI Innovative Application Cases," emphasizing the importance of AI in various industries [1] Industry Developments - The Guangdong Provincial Artificial Intelligence Industry Association aims to foster a collaborative ecosystem for AI, focusing on innovation, cooperation, and talent training to support high-quality development in the sector [3] - The Chinese government has been releasing favorable policies for AI, with the "AI+" initiative included in the 2025 Government Work Report, promoting the integration of digital technology with manufacturing and market advantages [5][6] Technological Trends - The emergence of AI-generated content (AIGC) is reshaping traditional digital content ecosystems in e-commerce, media, and entertainment, with companies like DeepSeek gaining significant traction in the AI model sector [7] - The integration of AI with various industries is accelerating, with data becoming a crucial asset in this transformation [9] Investment Opportunities - Investment directions in AI+ industries are promising, particularly in areas like cloud computing platforms, application software, and vertical sectors [11] - The AI model "DeepSeek" is noted for its potential to reshape the domestic AI industry ecosystem, indicating a shift towards commercializing AI agents [11] Workforce Implications - Experts suggest that the technological revolution will lead to an upgrade in job roles rather than outright replacement, emphasizing the need for skills in AI tool application and human-machine collaboration [13] - Legal frameworks are being developed to address challenges posed by AI, including copyright and liability issues, with a focus on case-based governance [13] Practical Applications - AI models are being implemented across various sectors, with companies like 广发证券 integrating AI into customer service and operational management [14] - The forum presented numerous innovative AI applications, including autonomous driving services, AI-driven healthcare solutions, and intelligent inspection systems for telecommunications [16][17][18][19][20][21][22][23][24][25][26][27][28]