In the ever-evolving landscape of the financial sector, the integration of artificial intelligence (AI) is no longer a distant possibility; it is now an immediate reality that is reshaping the public offering industryWith the unveiling of the open-source AI system known as DeepSeek, a wave of enthusiasm has surged through fund management companies, prompting many to adopt advanced AI technologies to enhance their investment efficiency and operational strategies.

The demand for greater efficiency in investment research has put an immense burden on fund managers, who must sift through a myriad of daily information—ranging from market trends to changes in investor risk appetiteTraditionally, dissecting these insights has been time-consuming, often detracting from the core tasks of investingTo address this challenge, several fund management firms have started focusing on harnessing AI to transform their research methodologies.

Notably, Huaxin Fund has taken a pioneering step by initiating a project to develop its AI platform named "Huaxin Fund Lingsi AI." This platform will harness the capabilities of large language models to enhance various business functions, including intelligent office processes, customer service, and compliance monitoringBy deploying these tools, Huaxin aims to significantly improve the quality of service delivered to clients.

The swift momentum generated by DeepSeek has made a considerable mark on the fund management landscapeFor instance, China Asset Management Company has reported that after successful internal tests, they've implemented AI models that assist in data processing, document generation, and report analysisAs these AI tools mature, they promise to streamline existing workflows, fostering an environment that promotes efficiency and productivity.

Moreover, the embrace of AI is not limited to asset management; third-party fund distribution organizations are also jumping on boardAn illustrative case is Tencent’s Financial Assistant service, which integrated DeepSeek's comprehensive model to offer investors a deeper analysis of distinct investment opportunities and personalized investment advisory services

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This integration marks a significant move towards creating more sophisticated and responsive wealth management solutions.

A growing number of fund managers are actively integrating AI into their daily investment routinesFor example, Li Xin, the manager of Huaxin Intelligent Equipment Theme Fund, remarked that he has been experimenting with methods to intertwine traditional investment research with AIBy utilizing models like Llama and DeepSeek, he has begun translating vast volumes of multilingual market reports into actionable insights, thus enhancing his investment decision-making process.

In the fixed-income space, AI's transformative potential is equally impactfulFor instance, Industrial Bank's self-developed "Xing Xiao Er" bond trading AI robot has significantly improved the efficiency of bond pricing inquiries while also mitigating compliance risksTheir AI-driven research platform automatically analyzes relevant data, providing essential support for fixed-income evaluations.

As the relationship between fund managers and AI evolves, several experts warn of potential disruptions in traditional rolesFund manager Li Qingyang emphasizes that investment professionals who fail to adapt to AI-driven analysis could find themselves at a disadvantageHe advocates for fund managers to concentrate on tasks that require human insight, intuition, and complex decision-making while using AI as a tool for data analysis and operational support.

Looking forward, it is clear that the financial services sector is undergoing a profound transformation driven by AI technologyFor example, a recent report from Guo Fa Securities highlighted that the finance industry’s reliance on data analytics has created a heightened demand for AI technologiesTheir capabilities in language comprehension, information extraction, and predictive analysis are proving invaluable across various financial interactions—from investment analysis to risk management and customer service.

Furthermore, as AI technologies continue to evolve, their application will deepen and encompass more complex tasks, including automated compliance checks and real-time monitoring of potential risks

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The landscape of public fund management is thus getting ready for a radical shift where AI will play a pivotal role in reshaping traditional practices.

However, with opportunities come significant challengesLin Qingyuan from Ping An Fund points out that while AI can tremendously enhance efficiency by streamlining data handling and analysis, it also introduces new dynamics to the marketAs AI becomes mainstream, the effectiveness of traditional investment strategies will come under scrutiny, necessitating a shift in how fund managers approach their craft.

In essence, the age of AI is not just a chapter in the financial narrative; it marks the beginning of a transformative eraInsights gathered indicate a consensus among industry professionals: as they gather in informal settings, discussions increasingly gravitate towards the role of AI in enhancing operational efficiencies.

While there are efforts to utilize AI for creative outputs such as image and video generation, the current products still require manual adjustments to fine-tune detailsNevertheless, as technology advances, AI's capacity to generate high-quality content will only expandAcquiring proficiency in AI tools is becoming an essential skill for professionals in the finance sector.

The shift towards an AI-driven paradigm is evidently recognized across the public offering industryInvestment firms have realized that leveraging advanced AI functionalities is crucial to staying competitiveThe ongoing innovations promise to solidify the groundwork for digital finance, indicating bright prospects for the sector.

Looking ahead, institutions like Yifangda Fund believe that the ongoing integration of technologies such as the DeepSeek series models will facilitate a profound transition towards a digitized finance ecosystemThis development will not only improve operational efficiency but also empower financial entities to provide enhanced services to clients.

With AI acting as a catalyst for change, the public offering industry is undoubtedly in the midst of an unprecedented "AI moment." This pivotal shift will redefine the paradigms of investment management, encouraging professionals to innovate and adapt to ensure long-term success in an increasingly automated landscape.

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