1. Report Industry Investment Rating No information provided in the report. 2. Core Viewpoints of the Report - The economic situation shows a mixed picture, with some indicators improving while others facing challenges. The geopolitical situation, especially the Iran - US conflict, has significant impacts on the global economy, trade, and financial markets. Central banks are implementing various monetary policies to maintain economic stability and promote growth [1][2][13] - The bond market is expected to maintain a volatile and relatively strong performance in the second quarter, and attention should be paid to international situation changes and crude oil import conditions [21] - The stock market is volatile, with different sectors showing different trends, and the public - offering fund market is making progress in implementing performance comparison benchmark regulations [30][31] 3. Summary by Directory 3.1 Macro Data Overview - GDP growth in Q4 2025 was 4.5% year - on - year, lower than the previous quarter and the same period last year. The manufacturing PMI in March 2026 was 50.4%, up from the previous month. The non - manufacturing PMI: business activity was 50.1%, slightly down from the previous month [1] - In February 2026, social financing scale was 23855 billion yuan, M0, M1, and M2 year - on - year growth rates were 14.1%, 5.9%, and 9.0% respectively. New RMB loans were 9000 billion yuan. CPI was 1.3% year - on - year, and PPI was - 0.9% year - on - year [1] - In February 2026, fixed - asset investment cumulative year - on - year growth was 1.8%, and social consumer goods retail sales cumulative year - on - year growth was 2.8%. Exports and imports in February 2026 increased by 39.60% and 13.80% year - on - year respectively [1] 3.2 Commodity Investment Reference 3.2.1 Comprehensive - The US, Iran are willing to end the war, but Iran requires guarantees. The Iran - US conflict may cause significant GDP losses in Arab countries, rising unemployment, and increased poverty [2] - The Central Bank's Monetary Policy Committee suggests integrating incremental and stock policies, using various tools for monetary policy regulation, and maintaining financial market stability [3] 3.2.2 Metals - Goldman Sachs raised the Q2 2026 LME aluminum price forecast to $3450 from $3200. On March 31, domestic tin and copper inventories reached new lows, while aluminum inventory reached a new high [4] - Three Middle - Eastern aluminum plants cut production by about 2.63 million tons. On March 31, the gold持仓 of SPDR Gold Trust increased by 0.11% to 1047.28 tons [5] 3.2.3 Coal, Coke, Steel, and Minerals - In mid - March, the price of rebar increased by 0.83% month - on - month to 3189.1 yuan/ton, the price of coke decreased by 2.08% month - on - month to 1346.4 yuan/ton, and the price of coking coal increased by 0.4% month - on - month to 1420.7 yuan/ton [6] 3.2.4 Energy and Chemicals - US API crude oil inventory increased by 10.263 million barrels last week, causing oil prices to fall. Sadara Chemical Company temporarily shut down due to supply chain disruptions. Iran's oil discount has narrowed, and the average selling price has risen. The US Treasury Secretary said the oil market has a daily supply shortage of 10 - 12 million barrels [7] 3.2.5 Agricultural Products - In mid - March, the prices of soybean meal, soybeans, and cotton increased by 6.82%, 2.98%, and 2.15% month - on - month respectively, reaching new highs [9] 3.3 Financial News Compilation 3.3.1 Open Market - On March 31, the central bank conducted 32.5 billion yuan of 7 - day reverse repurchase operations, with a net investment of 15 billion yuan [10] 3.3.2 Important News - The US and Iran are willing to end the war, but there is no formal negotiation yet. Iran listed 18 US ICT and AI - related companies as "legitimate targets" [11][12] - China's economic sentiment improved in March, with manufacturing, non - manufacturing, and comprehensive PMI output indexes all returning to the expansion range [14] - From January to February, state - owned enterprises' total operating income increased by 0.2% year - on - year, and the profit decreased by 2% year - on - year. The asset - liability ratio at the end of February was 65.4%, up 0.5 percentage points year - on - year [15] - A number of national regulations will be implemented in April. The Ministry of Finance announced the issuance arrangements for key - term, short - term, and ultra - long - term treasury bonds in Q2 2026 [15][16] - In February, government bond net financing decreased by 292.53 billion yuan year - on - year, and corporate bond net financing decreased by 18.02 billion yuan year - on - year. At the end of February, the bond market custody balance was 198.9 trillion yuan, with foreign institutions holding 3.4 trillion yuan [16] - New special bonds issuance accelerated in Q1 2026, reaching 1.1599 trillion yuan, a 21% increase from the same period in 2025 [17] - The trading association supported 370+ enterprises to issue 1.06 trillion yuan of science and technology innovation bonds. New bond indexes will be launched on April 1 [17][18] - Global central banks are selling US Treasury bonds at the fastest pace in more than a decade. The market trading logic has shifted from inflation trading to recession trading [18] - Some bond - related events include bond redemption options, asset transfers, and rating changes [19] 3.3.3 Bond Market Summary - The inter - bank bond market was volatile, with most major interest - rate bond yields rising slightly. Treasury bond futures mostly strengthened. The inter - bank market liquidity was very loose [20][21] - The exchange - traded bond market had mixed performance, with some bonds rising and some falling. The convertible bond index and related indexes also showed different trends [21][22] - Money market interest rates mostly declined, and the yields of some domestic and foreign bonds also changed [22][24][25] 3.3.4 Foreign Exchange Market - The on - shore RMB against the US dollar rose 49 basis points at the 16:30 close. The US dollar index fell 0.62%, and most non - US currencies rose [26] 3.3.5 Research Report Highlights - CITIC Securities believes that accelerating the revitalization of existing assets helps local platforms transform and serve economic growth. The acceleration of government debt clearance for enterprises is expected to repair the balance sheets and valuations of industries such as construction [27][28] - CITIC Construction Investment believes that the "South - bound Bond Connect" meets the needs of institutional diversification, and the Hong Kong bond market may expand, providing more choices for global asset allocation [28] 3.4 Stock Market News - The A - share market declined, with some sectors rising and some falling. The Hong Kong stock market had a mixed performance, with the Hang Seng Index rising slightly and the Hang Seng Tech Index falling [30][31] - The public - offering fund market is making progress in implementing performance comparison benchmark regulations [31] 3.5 Today's Reminder - On April 1, 132 bonds were listed, 120 bonds were issued, 55 bonds were due for payment, and 173 bonds paid principal and interest [29]

Group 1: Hot News - US President Trump is willing to end the military action against Iran even if the Strait of Hormuz remains largely closed, believing the war may end soon, and other countries can reopen the strait without US military aid. US Defense Secretary Hegdeth said the "top priority" is to seek an agreement to end the war. Iranian President Pezeshkian is willing to end the war if Iran's demands are met, especially getting a guarantee of no more aggression [2] - Iran's Islamic Revolutionary Guard Corps announced 18 US ICT and AI - related companies and institutions in the Middle East as "legitimate targets", including Nvidia, Apple, Tesla, etc. [2] - China's economic sentiment has rebounded. In March, with the acceleration of resumption of work and production after the Spring Festival, both production and demand expanded. China's manufacturing, non - manufacturing, and comprehensive PMI output indices returned to the expansion range, at 50.4%, 50.1%, and 50.5% respectively, up 1.4, 0.6, and 1 percentage points from the previous month [2] - A batch of national new regulations will be officially implemented in April. For example, the "Regulations on the Supervision of Short - term Trading" will be implemented on April 7, and the "Rules on the Pricing Behavior of Internet Platforms" on April 10 [3] - The Dalian Commodity Exchange announced that during the Tomb - sweeping Festival holiday in 2026, the price limit range and trading margin level of each futures contract will remain unchanged [3] Group 2: Key Commodities Night - session Performance - Focus on urea, coking coal, silver, lithium carbonate, and crude oil. The night - session performance shows certain fluctuations [4] Sector Performance - Non - metallic building materials had a 2.57% increase, precious metals 26.23%, oilseeds and fats 8.87%, soft commodities 2.55%, non - ferrous metals 23.13%, coal, coke, steel, and minerals 9.86%, energy 7.49%, chemicals 15.32%, grains 1.04%, and agricultural and sideline products 2.94% [6] Group 3: Asset Performance Stock Indices - The Shanghai Composite Index had a daily decline of 0.80%, monthly change of 0.00%, and annual decline of 1.94%. The SSE 50 had a daily decline of 0.25%, monthly change of 0.00%, and annual decline of 6.76%. The CSI 300 had a daily decline of 0.93%, monthly change of 0.00%, and annual decline of 3.89%. The CSI 500 had a daily decline of 1.76%, monthly change of 0.00%, and annual increase of 2.03%. The S&P 500 had a daily increase of 2.91%, monthly change of 0.00%, and annual decline of 4.63%. The Hang Seng Index had a daily increase of 0.15%, monthly change of 0.00%, and annual decline of 3.29%. The German DAX had a daily increase of 0.52%, monthly change of 0.00%, and annual decline of 7.39% [7] Other Assets - The 10 - year Treasury bond futures had a daily increase of 0.04% and an annual increase of 0.50%. The 5 - year Treasury bond futures had a daily increase of 0.03%, monthly change of 0.00%, and annual increase of 0.33%. The 2 - year Treasury bond futures had a daily change of 0.00%, monthly change of 0.00%, and annual increase of 0.08%. The CRB commodity index had a daily change of 0.00%, monthly change of 0.00%, and annual increase of 24.27%. WTI crude oil had a daily decline of 1.10%, monthly change of 0.00%, and annual increase of 76.96%. London spot gold had a daily increase of 3.45%, monthly change of 0.00%, and annual increase of 8.13%. LME copper had a daily change of 0.00%, monthly change of 0.00%, and annual decline of - 2.41%. The Wind commodity index had a daily increase of 1.23%, monthly change of 0.00%, and annual change of 0.05%. The US dollar index had a daily decline of - 0.62%, monthly change of 0.00%, and annual increase of 1.64%. The CBOE volatility had a daily change of 0.00%, monthly change of 0.00%, and annual increase of 104.75% [8] Group 4: Main Commodity Trends - The report shows the trends of the Baltic Dry Index (BDI), CRB spot index, WTI crude oil, London spot gold, London spot silver, LME 3 - month copper, gold - oil ratio, copper - gold ratio, CBOT soybeans, and CBOT corn [10] Group 5: Stock Market Risk Preference - The report presents the relationship between the Wind All - A (excluding finance and petroleum and petrochemicals) and risk premium, as well as the risk premiums of SSE 50, CSI 300, and CSI 500 [13][14]

Core Insights - OpenAI has completed a record financing round, raising $122 billion with a valuation of $852 billion, marking its largest funding effort to date [1] - The funding will support significant investments in chips, data centers, and talent, with major contributions from Amazon, Nvidia, and SoftBank [1][2] - OpenAI plans to invest over $1.4 trillion in physical infrastructure over the coming years to support its AI software development [2] Funding Details - Amazon invested $50 billion, with $35 billion contingent on OpenAI achieving a public listing or reaching a milestone in general artificial intelligence [1] - Nvidia and SoftBank each contributed $30 billion to the financing round [1] - OpenAI also raised over $3 billion from individual investors through bank channels [1] Revenue and Market Position - OpenAI's monthly revenue currently reaches $2 billion, with enterprise sales accounting for 40% of this revenue, expected to rise to 50% by year-end [2] - The company has gained recognition not only among general users but increasingly among enterprise clients [2]

Group 1 - Anthropic experienced a significant code leak involving over 510,000 lines of TypeScript code and several core features of its product Claude Code, raising concerns about its security maturity [2] - OpenAI completed a record $122 billion financing round, achieving a valuation of $852 billion, and plans to go public by the end of the year, with significant investments from Amazon, Nvidia, and SoftBank [2] - Huawei aims for global sales revenue of 880.9 billion yuan and a net profit of 68 billion yuan by 2025, with notable growth in its smart automotive solutions business [3] Group 2 - DeepSeek's services experienced disruptions, possibly related to the upcoming release of DeepSeek V4 [5] - Miniso reported a revenue of 6.254 billion yuan for Q4 2025, a year-on-year increase of 32.7%, and an annual revenue of 21.4438 billion yuan, reflecting a 26.2% growth [6] - Vanke achieved a revenue of 233.4 billion yuan in 2025, delivering 117,000 homes and achieving sales of 134.06 billion yuan [6] Group 3 - Nvidia invested $2 billion in Mellanox Technologies to enhance its AI chip supply chain [9] - Amazon's AWS plans to invest 7 trillion won (approximately $4.6 billion) in South Korea by 2031 to expand its AI and cloud infrastructure [9] - Biogen announced a $5.6 billion acquisition of Apellis Pharmaceuticals to strengthen its position in immunology and rare diseases [10]

Core Viewpoint - The rise of "world models" is seen as a key to overcoming the limitations of current AI, enabling a deeper understanding of the physical world and paving the way for Artificial General Intelligence (AGI) [1][3][6]. Group 1: World Models and AGI - World models allow AI to understand the laws of the physical world, facilitating reasoning and interaction, which is essential for achieving AGI [1][3]. - The development of world models is still in its early stages, and the first company to leverage physical interaction data effectively will gain a competitive edge [1][3][6]. Group 2: Industry Trends and Investments - OpenAI's recent shift to focus on world model research indicates a strategic pivot in the industry towards understanding reality rather than generating it [3][6]. - Significant investments have been made in world model companies, with over $10 billion raised by notable firms this year alone, reflecting a growing consensus that the next battleground for AI lies in the physical world [6][7]. Group 3: Challenges and Opportunities - The current challenge for world models is the scarcity of high-quality physical world data, which limits their widespread adoption [11][13]. - Companies are exploring the integration of world models with existing AI frameworks to enhance capabilities, particularly in complex environments [12][13]. Group 4: Future Outlook - The year 2026 is anticipated to be pivotal for world models, potentially establishing a foundation for AGI and physical AI [11][12]. - The evolution of world models is expected to complement existing models, with a focus on physical intuition and decision-making, while other models handle semantic understanding [13].

Core Viewpoint - The article emphasizes the importance of practical learning experiences in cutting-edge technology and investment research, highlighting the collaboration between entrepreneurs and leading companies to explore new opportunities in emerging industries [4][13]. Schedule Overview - The schedule for 2025 includes visits to major technology companies and events such as CES, with a focus on AI, robotics, and commercial space [7][8]. - Key events include closed-door investment research meetings on China's AI strength and participation in the Hong Kong Web3 Carnival [8][9]. Learning Experience - Participants will engage in deep explorations of technology companies, gaining insights into strategic decisions and technological advancements through direct interactions with founders and executives [13][24]. - The program aims to empower entrepreneurs by focusing on three dimensions: cutting-edge technology trends, emerging industry ecosystems, and business model exploration [13]. Past Activities - In 2023, participants visited leading companies such as Huawei and ByteDance, while in 2024, they will explore firms like BYD and Tencent, focusing on themes like artificial intelligence and renewable energy [24][25]. - The program has a history of facilitating high-end investment research meetings, providing a platform for exploring future technologies and connecting diverse resources [25][26]. Participant Feedback - Feedback from participants highlights the value of hands-on learning and the opportunity to engage with top-tier companies, enhancing their understanding of market dynamics and investment strategies [42][48]. - Participants express appreciation for the program's focus on practical insights and the cultivation of a long-term investment mindset [47][49].

Core Viewpoint - The article discusses the annual performance announcement of Zhipu (2513.HK), referred to as the "first stock of large models," highlighting significant revenue growth but also increasing losses, reflecting the challenges in the large model industry [3]. Financial Summary - Zhipu reported total revenue of RMB 724.33 million for 2025, a year-on-year increase of 131.9% [4] - Gross profit reached RMB 296.66 million, up 68.7% year-on-year, but the gross margin decreased from 56.3% to 41.0% due to the increased share of cloud services [4] - Research and development expenses rose by 44.9% to RMB 3.18 billion, while the net loss for the year was RMB 4.72 billion, a 59.5% increase compared to the previous year [4] Business Segmentation - Zhipu's revenue breakdown shows the enterprise-level general model generated RMB 365.7 million, the open platform and API brought in RMB 190.4 million, the enterprise-level intelligent agents contributed RMB 165.7 million, and technical services and others accounted for RMB 25.4 million [5] - The cloud and enterprise-level intelligent agent revenues saw substantial increases of 292.6% and 248.8%, respectively, with cloud gross margins improving from 3.3% to 18.9%, surpassing industry averages [5] Future Outlook - Zhipu's CEO, Zhang Peng, indicated that the annual recurring revenue (ARR) for the open platform and API business grew 60 times, asserting the company's pricing power in the industry [5] - The company aims to continue its development along the path of becoming "China's Anthropic," focusing on a simplified and economical business model for API services [5] - Concerns about the sustainability of the token economic model were addressed, with the chairman, Liu Debing, suggesting a tiered approach to tokens, where lower-tier tokens may adopt a low-cost or free advertising model, while higher-tier tokens maintain pricing power based on ROI [6]

Core Insights - Mistral AI has raised $830 million in debt to establish a new data center near Paris, powered by NVIDIA chips [2] - The company plans to complete the Bruyères-le-Châtel data center by the second quarter of 2026 [2] - Mistral aims to deploy 200 megawatts of computing power in Europe by 2027, emphasizing the importance of local infrastructure for AI innovation and autonomy [3] Funding and Investment - Mistral has raised over €2.8 billion (approximately $3.1 billion) from investors including General Catalyst, ASML, a16z, Lightspeed, and DST Global [3] - The company previously announced a $1.4 billion investment in AI infrastructure, including data centers in Sweden [3]

Core Viewpoint - The article argues that the true winners in the AI revolution will not be those who create the technology but those who control the user entry points, with Apple positioned to be the ultimate beneficiary of this shift [1][15]. Group 1: AI Market Dynamics - The AI landscape is evolving into a "heavy asset competition," with major tech companies like Microsoft, Google, and Amazon significantly increasing capital expenditures, leading to a decline in fixed asset returns [4][6]. - In 2025, Microsoft's capital expenditure exceeded $80 billion, primarily directed towards AI infrastructure, but this has resulted in diminishing marginal returns as AI-related revenue growth has begun to lag behind capital expenditure growth [5][6]. - The commoditization of AI capabilities is evident, with open-source models approaching the performance of proprietary models, and API call costs dropping over 90% in the past 18 months [7]. Group 2: Apple's Strategic Positioning - Apple has adopted a "restrained strategy," choosing not to develop its own models but to control the entry points into the AI ecosystem, leveraging its 2.5 billion active devices [9][10]. - By utilizing a hybrid architecture where lightweight tasks are processed on-device and complex tasks are routed to cloud-based models, Apple is redefining the user interaction interface with AI [9][10]. - The release of the A20 series chip in 2026, which triples the neural network engine's power, allows for local execution of large models, enhancing user experience and privacy [10]. Group 3: Future of AI Infrastructure - The article posits that large models will transition from being products to infrastructure, shifting profit margins from production to entry points, which is what Apple is strategically pursuing [12]. - Apple is testing an "AI Agent Store" in 2026, allowing developers to list their AI agents for direct access via Siri, thus controlling the distribution and monetization of AI services [12][14]. - Other tech giants face challenges in monetizing their AI technologies, while Apple, with over $100 billion in cash, can afford to wait for optimal conditions to capitalize on AI advancements [13][14]. Group 4: Long-term Implications - The article concludes that controlling user entry points will determine the future landscape of the AI industry, with companies like Apple potentially becoming the "electric grid" of the AI era, while others may become mere service providers with thin profit margins [15][16].

Core Viewpoint - The article discusses the significant changes in market dynamics due to Nasdaq's rule modifications, which facilitate the rapid entry of "super unicorns" into the market, altering liquidity distribution and risk allocation [1][2]. Group 1: Market Dynamics and Changes - Nasdaq's new index rules are designed to create a fast track for companies like Anthropic, OpenAI, and SpaceX, which are entering the market with valuations in the trillions, fundamentally changing the liquidity distribution logic [1][6]. - The adjustment is not merely an expansion but a systematic arrangement that shifts high-risk assets from the primary market to passive investors in the secondary market, signaling a change in how risks are absorbed [2][6]. - The traditional process of price discovery in the secondary market is being disrupted, as companies can now enter the market as giants without undergoing the typical growth verification process [4][6]. Group 2: Implications for Investors - The new structure means that traditional IPO underpricing benefits are diminishing, replaced by risks for ordinary investors who are effectively providing liquidity for primary market investors' excess returns [7]. - The rapid inclusion of new stocks into indices creates mechanical demand, leading to liquidity being drained from existing stocks and distorting the price discovery mechanism [9][10]. - The shift in index dynamics indicates that the market is becoming a tool for liquidity redistribution rather than a venue for pricing growth, which could lead to a false sense of demand and valuation [10][11]. Group 3: Systemic Risks and Future Outlook - The combination of high valuations for super unicorns and rapid index inclusion suggests a deeper risk structure, where passive funds are absorbing risks without assessing the validity of optimistic cash flow assumptions [11][12]. - Historical patterns indicate that when such structural changes occur, it often signals a phase of institutionalized bubbles, where inflated valuations persist until liquidity can no longer support them [12][14]. - The article warns that as risks become institutionally hidden, their eventual manifestation could be more severe, challenging the integrity of market mechanisms and investor confidence [14].