Core Insights - The implementation of the "Negative List" for data exit management in Guangxi aims to facilitate cross-border data flow, contributing an estimated $11 trillion to global GDP by the end of 2025 [1][10] - The list specifically targets four industries: geographic information and meteorological data services, enterprise credit information services, cross-border e-commerce live streaming, and overseas audio-visual production and dissemination [1][6] Group 1: Data Management and Compliance - The "Negative List" provides a clear framework for data management, defining which data is considered important and ensuring that routine business data is not overly restricted [4][8] - The list allows for a significant increase in the volume of personal information that can be exported, particularly in the overseas audio-visual production sector, raising the limit from 1 million to over 2 million individuals [4][9] - The principle of "non-prohibition is permission" expands the scope for data exit, allowing companies to provide data abroad without prior approval as long as it is not on the negative list [5][10] Group 2: Industry Development and Opportunities - The new regulations are expected to enhance the competitiveness of Guangxi's cross-border e-commerce sector, addressing long-standing uncertainties regarding data compliance and export [2][3] - The implementation of the "Negative List" is seen as a significant step in promoting cross-border business activities, enabling companies to explore new markets and partnerships, particularly in ASEAN countries [7][10] - The policy changes are anticipated to create new business opportunities for companies in cross-border e-commerce, data analysis, and credit information services, facilitating a more integrated approach to international trade [9][10] Group 3: Infrastructure and Future Prospects - Guangxi is investing in digital infrastructure, including a "data highway" to enhance connectivity with ASEAN nations, which will support the efficient flow of data across borders [11][12] - The establishment of international data centers and cross-border data flow testing zones is part of Guangxi's strategy to build a robust framework for data exchange and cooperation with ASEAN countries [12]

Core Concept - The article focuses on the management of AI core marketing keyword libraries, aiming to help companies efficiently build, optimize, and apply keyword libraries using intelligent tools to enhance marketing precision and conversion efficiency [2][4]. AI Core Marketing Keyword Library - The AI core marketing keyword library is a marketing keyword management system built on artificial intelligence technology, which automatically collects, analyzes, and optimizes keyword data to help companies accurately target their audience [4][5]. - The system integrates various intelligent functions, such as one-click content generation and AI live streaming, enabling efficient management of keyword libraries [4][5]. Building and Optimizing Keyword Libraries - Key to building an efficient and precise AI core marketing keyword library is the systematic integration of data and intelligent analysis capabilities [5]. - The process involves multi-channel data collection, semantic analysis, and keyword mining based on various metrics like search volume and competition [5][6]. - Continuous updating mechanisms are essential to ensure the keyword library reflects the latest market demands and user behaviors [5][6]. Application in Marketing Activities - Effective application of the AI core marketing keyword library can directly enhance marketing effectiveness by optimizing advertising strategies and ensuring content matches user search intent [7][10]. - The one-click content generation tool allows for rapid production of customized marketing content, significantly shortening the creation cycle [7][10]. - Real-time monitoring of keyword performance enables dynamic adjustments to marketing resource allocation, improving conversion efficiency [7][11]. Case Studies and Practical Applications - A leading e-commerce company implemented an AI core marketing keyword library management system, resulting in a 30% increase in ad click-through rates and a 25% improvement in conversion efficiency [13]. - The integration of intelligent tools and continuous monitoring of key metrics like click rates and conversion efficiency drives data-driven decision-making, enhancing overall marketing strategies [13][15]. Future Trends - The evolution of AI core marketing keyword library management is expected to undergo significant changes with advancements in cross-modal semantic analysis technology, allowing for automatic keyword capture across various media [14]. - Predictive keyword library expansion features will proactively recommend high-potential emerging keyword combinations based on industry data and user behavior patterns [14].

Core Viewpoint - The article discusses the rise of various "AI scams" targeting individuals with limited understanding of AI, particularly in rural areas, highlighting the exploitation of information asymmetry by businesses [3][4][26]. Group 1: AI Scams and Their Impact - Many individuals, referred to as "AI novices," are falling victim to scams disguised as AI services, such as AI fortune-telling and AI live streaming [4][18]. - The phenomenon is exacerbated by the rapid influx of AI-related content on social media, leading to impulsive spending among those lacking critical information [28][30]. - Traditional money-making schemes are being repackaged with an AI label, making them more appealing to the public [25][26]. Group 2: Case Studies of AI Scams - A case study involves a woman named Li who spent 299 yuan on an AI fortune-telling service, believing it to be legitimate due to its presentation as a high-tech solution [4][20]. - Another example is a man named Da Ren, who invested thousands in AI live streaming training, convinced by the promises of high earnings from his AI mentor [6][11]. - Both cases illustrate how individuals are drawn into these schemes by the allure of AI and the perceived need to keep up with technological trends [13][17]. Group 3: Market Dynamics and Consumer Behavior - The article emphasizes the role of social media influencers in promoting AI-related scams, often using persuasive language to attract followers and potential customers [16][17]. - There is a significant gap in information and understanding among consumers, leading to a lack of skepticism towards these AI offerings [26][28]. - The article suggests that without effective regulation, the exploitation of consumers through AI scams will continue to grow, posing serious risks to vulnerable populations [28][29].