1. Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Views - The disclosure rate and pre - happy rate of listed companies' performance forecasts have both increased. The overall performance shows significant repair characteristics, and the market's consensus expectation for the whole year is more optimistic [1][2]. - As February enters the period of performance and economic data vacuum, the market's policy - gaming sentiment may gradually heat up. The stock market generally has good expected performance after the Spring Festival and before the Two Sessions. Attention can be paid to sectors with strong performance expectations and low premium rates [22]. - The convertible bond valuation still has support and may maintain high - level fluctuations. The new bond issuance continues to be light, but the pace of pre - plans has accelerated [3][4][60]. 3. Summary by Directory 3.1 Annual Report Forecast Period Ends, Driving Force Shifts to Performance Verification - **Disclosure and Pre - happy Rates**: As of January 30, 2026, the disclosure rate of performance forecasts of listed companies was 54.98%, a year - on - year increase of 1.83pct. The overall pre - happy rate was 36.87%, a year - on - year increase of 4.46pct [10]. - **Performance Repair**: The median year - on - year growth rate of the net profit attributable to the parent of the whole market in 2025 was 20.29%, a significant improvement compared with - 18.58% in 2024. The growth of industrial added value and the narrowing of PPI decline contributed to the positive growth of industrial enterprise profits [12]. - **Sector Performance**: The net profit growth rate of the GEM was relatively strong, with a growth rate center of 26.57% and a year - on - year increase of 74.62pct, driven by the low - base effect and the performance explosion in the computing power sector [12]. - **Industry Performance**: The pre - happy rates of the non - bank finance and non - ferrous metals industries led, and the net profit growth rate centers of these two industries were also among the top [18]. - **Convertible Bond Underlying Stocks**: The disclosure rate of convertible bond underlying stocks was 49.86%, and the pre - happy rate was 31.11%. The year - on - year growth rate center of the net profit in 2025 turned from loss to profit [20]. 3.2 Valuation Outlook - **Valuation Increase in January**: The convertible bond ETF share continued to grow, and major holders such as public funds increased their holdings. The convertible bond valuation rose to a new high, with the 100 - yuan parity fitted conversion premium rate reaching 37.11% as of January 30, 2026, a 3.05pct increase from the end of 2025 [23]. - **Future Valuation**: The probability of the spring rally continuing is not low. The adjustment of positions of financial products and insurance may be the key incremental factor in the first half of the year. The valuation may maintain high - level fluctuations [23]. 3.3 Key Focused Convertible Bonds - **January Performance**: From December 31, 2025, to January 30, 2026, the convertible bond portfolio rose 13.79%, outperforming the benchmark index by 7.95pct. Huayi and Huachen had obvious increases [36]. - **February Portfolio Adjustment**: The "Huachuang Convertible Bond" February key - focused portfolio was adjusted to include Xingqiu, Mingli, Yirui, Huachen, Huayi, Yifeng, Bengang, Peidi, Ziyin, Qingnong, Zhongyin, and Xingye [38]. 3.4 Market Review - **Market Performance in January**: The convertible bond market fluctuated strongly, with the small - cap style leading. The Shanghai Composite Index, Shenzhen Component Index, and other major indexes all rose, and the convertible bond valuation increased by 3.05pct month - on - month [45]. - **Market Trends**: The TMT and manufacturing sectors were popular, while the financial and real - estate sectors were relatively stable. Most industries in the convertible bond and underlying stock markets rose, and there was obvious rotation among sectors [49]. - **Fund Performance**: The daily trading volume of the equity and convertible bond markets increased, and the margin trading balance also increased. Most industries received net margin purchases [55][56]. 3.5 Supply and Demand Situation - **New Bond Issuance in January**: Five new convertible bonds were issued, with a total scale of 57.80 billion yuan, and four new convertible bonds were listed, with a total scale of 41.97 billion yuan. The online new - bond subscription decreased [60]. - **Pending Issuance and New Plans**: The total pending issuance scale was about 129.911 billion yuan. Eleven new board plans were added in January, with a total scale of 137.99 billion yuan, showing both month - on - month and year - on - year increases [67]. - **Redemption and Downward Revision**: Sixteen convertible bonds announced redemption, and five convertible bonds announced proposals for downward revision [75]. - **Holder Changes**: The total scale of convertible bonds held by various entities in the Shanghai and Shenzhen Stock Exchanges decreased. The scale of convertible bonds held by public funds increased, while that of enterprise annuities and securities companies decreased [82][85][89].

Investment Rating - The industry investment rating is "Positive" (maintained) [1] Core Insights - The competition for AI traffic entry among internet giants is intensifying, with multiple business lines integrating and collaborating. AI empowerment is expected to drive performance and valuation. The demand for AI cloud services is anticipated to continue growing, supported by the rapid growth of domestic AI chips. Recommended stocks include Alibaba-W, Baidu Group-SW, and Pinduoduo, with Tencent Holdings as a beneficiary [5][41] - The Moltbot, an AI agent, is gaining attention as a significant breakthrough in the AI agent sector. It is designed to execute practical tasks and is expected to create new opportunities in the AI infrastructure layer. Cloudflare is highlighted as a key observation target due to its leading position in the market [6][20][23] Summary by Sections Internet Sector - The competition for AI traffic entry is increasing, with AI empowerment potentially becoming a key driver for performance and valuation. The demand for AI cloud services is expected to validate continuously, and the growth of domestic AI chips is rapid. Recommended stocks include Alibaba-W, Baidu Group-SW, and Pinduoduo, with Tencent Holdings as a beneficiary. The second-hand housing market in core cities is showing a downward trend in listings, with Beike-W recommended [5][13][41] AI Sector - Moltbot is emerging as a significant breakthrough in the AI agent space, characterized by its ability to execute practical tasks. It has gained popularity in the open-source community and is expected to create positive industry opportunities in 2026. Cloudflare is positioned as a leading beneficiary in this sector due to its robust infrastructure and market presence [6][20][22][23] Weekly Data Update - The Hang Seng Index increased by 2.4%, outperforming major global markets. The real estate sector showed significant gains, with a 6.11% increase in the Hang Seng real estate index [31][32]

Investment Rating - The report suggests a long-term investment perspective, focusing on quality companies with strong core competitiveness and long-term value, particularly in the AI integration within the internet entertainment sector [3][5]. Core Insights - The overall market sentiment is cautious due to fluctuating expectations of interest rate cuts by the Federal Reserve and short-term impacts from regulatory policies in mainland China. The Hang Seng Technology Index has been under pressure, with many internet entertainment companies experiencing a downward trend in stock prices [3][5]. - The central economic work conference has set a tone for 2026 emphasizing "stability while seeking progress," which aims to boost economic vitality and consumer confidence, benefiting the internet entertainment sector directly [3][5]. - 2026 is anticipated to be a significant year for AI application and commercialization, with the integration of AI technology being a core factor determining future competitiveness in the internet entertainment sector [3][5]. Summary by Sections Market Performance - The Hang Seng Index and the Hang Seng Technology Index experienced slight declines of -0.36% and -0.42% respectively during the week of January 19-23, 2026. The overall market sentiment is cautious, influenced by external factors and regulatory policies [4][5]. - The software and services sector's PE-TTM is at 28.9x, while the PS-TTM is at 5.3x, indicating high valuation levels compared to historical data [12][14]. Company Recommendations - The report recommends focusing on industry leaders such as: -阅文集团 (772.HK) -腾讯音乐 (TME.N) -浪潮数字企业 (596.HK) -百融云 (6608.HK) -阿里巴巴 (BABA.N) These companies are expected to have strong R&D and application capabilities in the AI wave, making them optimal choices for sharing in long-term industry growth [3][5]. Industry Data - The film industry is showing signs of mild recovery, with a box office of 3.04 billion yuan during the week of January 19-25, 2026. The new film "Return to Silent Hill" performed well, contributing significantly to the box office [25]. - The gaming market in China saw a year-on-year sales growth of 7.83% in October 2025, indicating robust potential and vitality in the gaming sector [28].

Summary of Key Points from the Conference Call Industry Overview - The conference discusses the development of AI Agents and their commercial application, particularly in the context of the automotive industry and smart driving technology. The release of OpenAI's O series model in September 2024 marks a significant advancement in AI capabilities, enhancing reasoning and thought processes, which is crucial for the maturation of the Agent model and the acceleration of AI commercialization [1][2]. Core Insights and Arguments - **Commercialization of AI Agents**: The speed of AI Agent commercialization is influenced by product development strategies and developer engagement. A user feedback mechanism is essential for building competitive advantages through data accumulation. The monetization rate is more dependent on long-term human replacement potential rather than short-term payment willingness [1][5]. - **Development Stages of AI Agents**: AI Agents can be categorized into five levels (L0 to L5), paralleling the evolution of smart driving technology. Each stage is associated with technological advancements and business model upgrades. The transition from L3 to L4 is currently underway, with significant conveniences brought by high-speed NOA (Navigate on Autopilot) and urban NOA [1][6]. - **Impact of Smart Driving on the Automotive Industry**: The penetration rate of smart driving technology has exceeded 30%, leading to a shift in consumer preferences towards vehicles equipped with such features. Traditional automakers, particularly joint ventures, have seen a decline in market share, while new entrants like Tesla have leveraged data-driven approaches to enhance their technology and market position [1][9]. - **AI and Data-Driven Evolution**: The evolution of AI applications has transitioned from rule-based systems to data-driven models, culminating in generalized applications. The Deepseek model utilizes synthetic data to improve user experience, indicating the importance of closed-loop data decision-making [1][10]. Additional Important Insights - **Challenges in AI Commercialization**: Despite advancements in AI capabilities, full-scale implementation requires appropriate tools, workflows, and a deep understanding of human cognitive processes. Memory and execution capabilities are also critical, necessitating developers to possess product design, technical, and industry expertise [3][5]. - **Technological Expansion in the Tech Sector**: The tech sector is expected to continue its expansion, moving beyond GPU investments to include ASICs, cloud device manufacturers, and other related fields. The focus will shift towards identifying players who can quickly realize their potential and achieve breakthroughs in complex scenarios [13]. - **Variability in AI Application Across Scenarios**: The speed of AI application realization varies across different scenarios due to differing levels of digitalization and rule complexity. Areas like advertising and recommendations, which are highly digitalized, are likely to see faster implementation compared to more complex processes like pharmaceutical development [14]. - **Future AI Applications**: By the end of 2025, applications such as AI short dramas and various financial and legal scenarios are expected to be realized. These areas have already undergone significant digital transformation, facilitating quicker adoption [15]. - **Impact on Labor Market**: AI technology is poised to trigger a labor revolution, particularly in lower-tier scenarios where supply is abundant. In higher-tier scenarios, AI can enhance market potential and transform business models, especially in sectors like healthcare [16]. - **Competitive Advantages in Future Markets**: Companies that can establish a strong foothold in consumer traffic and possess deep expertise in vertical markets will likely emerge as leaders. The complexity of rules in these areas creates high barriers for larger companies, allowing smaller firms to build sustainable competitive advantages [18].

Investment Rating - The report maintains a strong recommendation for leading companies in various sub-sectors of the media and internet industry, particularly highlighting companies such as Shenzhou Taiyue, Southern Media, and Tencent Holdings [1]. Core Insights - The domestic AI commercialization is rapidly developing, with significant interest in AI applications across various industries. The report emphasizes the need for further exploration of profitable AI application models to support future demand for computing power and paid users [1]. - The gaming sector, particularly Giant Network's "Supernatural Action Group," is performing strongly, with the game achieving a significant revenue increase and expanding into international markets [2]. - The report notes that while the media industry experienced a slight decline of 0.19% recently, it has seen a year-to-date increase of 26.84%, ranking it 8th among all sectors [1][10]. Summary by Sections Media Industry Performance - The media industry index decreased by 0.19% from December 15 to December 21, while the Shanghai Composite Index rose by 0.03% during the same period [10]. - The media sector's year-to-date performance shows a 26.84% increase, ranking it 8th among all sectors [1][10]. Gaming Sector Highlights - Giant Network's "Supernatural Action Group" has continued its strong performance, with a revenue increase of 100% month-over-month, entering the top 10 in China's iOS mobile game revenue rankings [2]. - The game is set to expand into Southeast Asia and Japan in 2026, indicating a strategic move towards internationalization [2]. AI Commercialization - The report identifies a growing trend in AI applications, with notable developments in AI assistants, e-commerce, gaming, and video content. Companies like Tencent and Alibaba are leading in AI assistant and e-commerce innovations [1]. - The report highlights that while current AI application revenues are modest, the commercialization of AI is beginning to take shape in China, with various sectors starting to see profitability [1].

Group 1: Federal Reserve and Market Trends - The core driver of the global market is the significant weakening of the Federal Reserve's interest rate cut expectations, leading to liquidity concerns and a shift towards risk-averse strategies[3] - The performance of various assets has formed a risk-averse hierarchy: USD > US Treasuries > Gold/Silver > Equity Assets > Bitcoin[10] - The unemployment rate rose to 4.4% in September, despite a strong addition of 119,000 jobs, which exceeded market expectations of 51,000[15] Group 2: AI Sector Insights - Market focus is shifting from AI infrastructure development to the verification of AI application commercialization capabilities[16] - Nvidia's Q4 performance and revenue guidance exceeded expectations, indicating sustained high demand for AI infrastructure[16] - Google’s stock was the only one among the "Magnificent Seven" to rise, increasing by 8.4%, due to its effective response to investor concerns about AI profitability[22] Group 3: Market Volatility and Risks - Increased volatility in US stock and bond markets has been observed since November, influenced by market microstructure factors[17] - The investment-grade credit spread in the US has risen from low levels since November, reflecting cautious market sentiment regarding profitability in the AI sector[18] - Key risks include uncertainties in the Federal Reserve's policy path, slower-than-expected AI commercialization processes, and external shocks[21]

Investment Rating - The report maintains a "Strong Buy" rating for the company, with a target price of 56.70 yuan [1]. Core Insights - The company's revenue for the first three quarters of 2025 reached 1.41 billion yuan, representing a year-on-year increase of 16.2%. The net profit attributable to the parent company was 420 million yuan, up 16.4% year-on-year. In Q3 2025 alone, revenue was 490 million yuan, with a year-on-year growth of 16.9% [1][9]. - The core business, particularly the China Manufacturing Network, shows strong growth momentum, with the number of paid members reaching 29,214, an increase of 2,546 from the previous year. The platform's traffic has also seen significant growth, especially in the Middle East, where traffic increased by 45% year-on-year [9]. - The slight decline in net profit for Q3 2025 is attributed to the recognition of stock incentive expenses, which impacted current profits. However, the company's core profitability remains robust [9]. - The company is actively expanding its AI product matrix, with a total of 15,687 members for AI products by the end of September 2025. The penetration rate continues to rise, and new AI applications are being developed for both buyers and internal operations [9]. - The report projects net profits for 2025-2027 to be 505 million, 601 million, and 692 million yuan, respectively, with corresponding year-on-year growth rates of 12.0%, 18.9%, and 15.3% [9]. Financial Summary - For 2024A, total revenue is projected at 1,669 million yuan, with a year-on-year growth rate of 9.3%. The net profit attributable to the parent company is expected to be 451 million yuan, reflecting a growth rate of 19.1% [4][10]. - The company's earnings per share (EPS) for 2024A is estimated at 1.42 yuan, with a price-to-earnings (P/E) ratio of 33 [4][10]. - The total market capitalization of the company is approximately 15.02 billion yuan, with a circulating market value of 9.58 billion yuan [5].

Summary of Key Points from Conference Call Records Industry Overview - The optical communication industry is performing strongly, with many companies exceeding expectations and maintaining low valuation levels, projected to be within 20 times by 2026 [1][4] - New technologies such as CPO, OCS, OOL, silicon photonics, and thin-film filters are expected to drive industry growth [1][4] - The upcoming Shenzhen Optical Expo is anticipated to further stimulate market interest in the optical communication sector [1][4] Company Performance - Broadcom reported a 63% year-over-year increase in AI-related revenue, reaching $5.2 billion, and secured a $10 billion custom AI chip order from its fourth large-scale customer [1][6] - The leading company in the high-speed copper cable (AEC) sector, Crypto, reported Q1 FY26 revenue exceeding $220 million, with a quarter-over-quarter growth of over 30% and a year-over-year net profit increase of over 70% [3][14] Market Trends - North American capital expenditures are significantly increasing, particularly in AI infrastructure, with plans to invest $17 trillion over the next few years [1][7] - AI-related revenue growth is expected to surpass capital expenditure growth, with projections for 2025 indicating total revenue could reach between $100 billion and $200 billion [1][8] Competitive Landscape - The communication industry is characterized by a stable competitive landscape, with leading companies holding significant market shares and high information advantages [10] - Second-tier companies have opportunities for rapid growth by securing new customers or entering new markets, with some lesser-known companies potentially achieving significant progress [10][11] Future Outlook - The outlook for the optical communication market is optimistic, with companies actively expanding production and securing materials to meet explosive demand growth [5][9] - The AEC industry is expected to continue its rapid growth, with new hyper-scale customers anticipated to contribute significantly to revenue [14][16] Emerging Technologies - The application of silicon carbide (SiC) materials in the AI industry is gaining traction, with potential shifts in chip manufacturing processes expected by 2027 [15] - The optical fiber segment within the optical supply chain is particularly noteworthy, with increasing demand in the financial sector and AI applications [12] Conclusion - The overall sentiment in the optical communication and AI sectors is positive, with strong growth prospects driven by technological advancements and increasing capital investments. The upcoming events and market dynamics are likely to create further investment opportunities.

Core Viewpoint - The article discusses the commercialization path of OpenAI's LLMs (Large Language Models) and compares it to Google's advertising model, exploring potential monetization strategies and challenges in the AI landscape [4][5]. Group 1: Commercialization Strategies - OpenAI's potential monetization strategy may resemble Google's CPA (Cost per Action) model, which currently accounts for only 10% of Google's ad revenue, as opposed to the more dominant CPC (Cost per Click) model [6][8]. - The article suggests that OpenAI could leverage its large user base of nearly 900 million free users by implementing a take rate model, where it earns a commission from merchants after assisting users with transactions [5][6]. Group 2: Challenges in Monetization - The transition to a CPA model may face challenges due to the complexity of user transactions in sectors like travel and finance, where multiple interactions are often required before a purchase is made [7][8]. - The article highlights that the high token consumption associated with LLMs could lead to increased operational costs for OpenAI, especially if the conversion rate for high-value queries is low [8][9]. Group 3: Comparison with Google - Google's success is attributed to its ability to create a win-win situation for users, content creators, and the platform, primarily through its CPC model, which allows for extensive scalability and granularity in ad placements [9][10]. - The article posits that OpenAI's current product form may be limited in its commercialization potential compared to Google due to issues related to conversion rates and the granularity of monetization [8][9]. Group 4: Future AI Monetization Models - The article proposes two potential AI-native monetization models: one that utilizes the asynchronous nature of agents to price tasks based on their time value, and another that encourages advertisers to enrich their product context to improve the quality of AI-generated responses [11][12]. - A token auction mechanism is suggested, where advertisers would bid on the influence their content has on LLM outputs, shifting the payment model from clicks to content contribution [13]. Group 5: Market Performance - The article provides a performance overview of AGIX and major indices, indicating AGIX's year-to-date return of 16.11% and a return of 55.02% since 2024, showcasing its defensive advantage in a challenging market environment [15][20]. - It also notes a structural adjustment in hedge fund industry allocations, with a shift away from tech sectors, particularly AI-related themes, towards more defensive sectors like healthcare and consumer staples [18][19].

Investment Rating - The report maintains a "Recommended" rating for Kingsoft Office (688111.SH) [4][6] Core Views - Kingsoft Office reported a revenue of 2.657 billion yuan for the first half of 2025, representing a year-on-year growth of 10.12%, while the net profit attributable to shareholders was 747 million yuan, up 3.57% year-on-year [1] - The WPS personal business showed strong revenue resilience, achieving 1.748 billion yuan in revenue, a year-on-year increase of 8.38% [2] - WPS 365 business experienced rapid growth with a revenue of 309 million yuan, marking a significant year-on-year increase of 62.27% [2] - The company has successfully built a cloud, collaboration, and AI office application service system, creating a new intelligent office model [1] Summary by Sections WPS Personal Business - Revenue reached 1.748 billion yuan, with a growth of 8.38% year-on-year - Global monthly active devices for WPS Office reached 651 million, an increase of 8.56% year-on-year [2] WPS 365 Business - Revenue of 309 million yuan, with a remarkable growth of 62.27% year-on-year - The introduction of AI features such as intelligent document libraries and smart search has significantly enhanced product capabilities [2][3] WPS Software Business - Revenue was 542 million yuan, showing a slight decline of 2.08% year-on-year - The company continues to lead in the government and enterprise market for domestic office software [3] AI Development - WPS AI 3.0 has nearly 30 million monthly active users, with new features enhancing user engagement and opening new monetization opportunities [3] - The report anticipates continued growth in personal subscription users and ARPU driven by AI capabilities [4] Financial Forecast - Projected revenues for 2025, 2026, and 2027 are 6.109 billion, 7.295 billion, and 8.717 billion yuan respectively, with corresponding EPS of 4.12, 5.18, and 6.25 yuan [4][5]