最近五年的宏观研究与投资经验，告诉我三点： 第一，资本市场定价的是未来，未来资本化的是想象力，因此估值是一门心学。 原因在于，一是次贷危机以来货币政策范式改变，从利率导向转向货币主义的QE，也就是"直升机撒 钱"，导致流动性严重过剩+资产荒。于是，过剩的流动性在过度交易当前基本面后，只能越来越长久 期地交易未来；二是科技创新风起云涌，从大数据到大模型，从数字革命到AI革命，为未来叙事提供 了丰富素材。 第二，估值需要动物精神，动物精神有周期性，即亢奋不能太久，悲观也不能太久，伴随着牛熊交替。 牛和熊都是典型的动物精神。 AI企业本身的估值泡沫会进入疲弱阶段，但"AI+产业"的估值周期需要再平衡。 预判未来一定要回看过去。美股这一轮牛市自ChatGPT横空出世以来，已经持续了三年。从群体心理学 的角度，一个长达三年的叙事很容易产生疲劳，甚至是厌倦，甚至是恐惧，这是高估值之上的本能恐 高。除非，有新的叙事刺激。 A股这轮牛市则持续了一年半（约17个月）。从历史数据看，A股每轮牛市平均时间约为14个月（420天 左右）；若剔除早期市场初创阶段波动剧烈的短期牛市、聚焦核心全面牛市，平均持续时间约为18~20 个月。按 ...

Core Viewpoint - The article emphasizes the importance of understanding the underlying investment logic behind the AI boom and macroeconomic trends as presented by Li Feng, founder of Fengrui Capital, in the context of the 2026 outlook [2][3]. Group 1: AI Investment Insights - Li Feng has identified key investment opportunities over the years, including the rise of domestic brands, the significance of supply chains in retail expansion, and the shift towards hard technology [5]. - The current AI wave is linked to a massive liquidity influx, with central banks injecting $12 trillion into the market from 2020 to 2021, leading to a search for high-value narratives [8][9]. - The AI investment landscape is evolving through three stages: from large models to general agents, and finally to practical applications in vertical fields and AI hardware [6][23]. Group 2: Macro Trends and Strategic Opportunities - The macroeconomic outlook for 2026 includes a strategic contraction in the U.S. and increased international cooperation from China, impacting global capital markets and AI industries [19][17]. - The article discusses the potential for China to leverage its strong supply chains and technological advancements to create high-value global brands in the AI hardware sector [13][16]. - The future of AI is framed as a potential productivity revolution, with the timeline for widespread impact being longer than the current hype suggests [11][12]. Group 3: Course Highlights and Learning Opportunities - The course led by Li Feng aims to provide insights into the relationship between excess liquidity and the AI narrative, as well as the implications for the U.S. stock market [6][23]. - Participants will explore the investment logic of AI, including the transition from theoretical models to practical applications, and the competitive landscape for Chinese firms in the AI sector [20][21]. - The course also addresses the implications of U.S.-China relations on financial markets and the role of data as a production factor in the coming decade [19][20].

Core Viewpoint - The current low interest rates in the U.S. pose significant financial risks if further cuts are made, as they may lead to market bubbles due to excessive liquidity [2][4][10]. Monetary Policy and Financial Risks - Historical financial crises are often linked to market bubbles, which arise from excessive monetary credit expansion and overly loose monetary policies [3][9]. - A neutral interest rate is generally considered to be around 5.5% or higher, and maintaining rates below this level for extended periods can lead to excessive liquidity and bubble formation [3][9]. Current Interest Rate Environment - U.S. and European interest rates are currently below the neutral level, and any further reductions could exacerbate the risk of bubbles and negative consequences in the long term [4][11]. - Predictions regarding future interest rate cuts show significant divergence, but the overarching trend indicates that the U.S. benchmark interest rate is substantially below the neutral level, which could hinder inflation control and accumulate risks [11]. Currency and Trade Implications - The Chinese yuan is expected to face renewed appreciation pressure, with the USD/CNY exchange rate moving from 1:7.35 to below 1:7, primarily due to the depreciation of the dollar [5][12]. - The latest exchange rate for the yuan against the dollar is 1:6.97, and with anticipated further U.S. rate cuts, the dollar is expected to weaken, benefiting China's trade performance [5][12]. - The appreciation pressure on the yuan, coupled with a significant trade surplus, is likely to improve domestic liquidity and alleviate downward pressure on China's economic growth [12].

一个历史性的数据，新鲜出炉。 2025年1-11月，中国贸易顺差——突破1万亿美元大关！ 1.1万亿美元顺差，是什么概念？我们做个最直观的对比：中国今年的国防预算，大约是2500亿美元。 也就是说，我们一年赚回来的"利润"，够支付整整四年多的军费！ 看明白了吗？这根本不是简单的贸易数据，这是一个国家强大的"造血能力"和战略韧性的最直接体现。 1. 把国家当公司：顺差就是"净利润"，我们在全球疯狂"扫货" 这笔万亿级的"净利润"怎么花？用途太关键了： 海外投资：收购矿山、港口、核心技术公司，把资源命脉握在手里。 战略支援：关键时刻支持友邦，对抗美元潮汐的收割。 扩充储备：增加外汇储备，这是金融稳定的"压舱石"。 藏富于民：财富最终会通过产业链，惠及国内民生。 所以，这1.1万亿顺差，绝不是账面上的数字游戏。它是我们购买全球资产、夯实国本、提升国民福祉 的"真金白银"。 很多人不理解贸易顺差的意义。简单说，你可以把国家想象成一家巨型公司。 出口是收入，进口是成本，贸易顺差，就是这家公司的"净利润"。 2. 美国的尴尬：贸易战赢了全世界，唯独输给中国 特朗普时代开启的全球贸易战，美国对欧盟、日本、加拿大等盟友，几乎 ...

Core Viewpoint - The article emphasizes the inherent risks of financial bubbles and the importance of understanding the underlying value of investments, warning against the dangers of following market trends without due diligence [2][6]. Group 1: Financial Bubbles - Historical examples illustrate how quickly asset prices can rise and fall, leading to significant losses for investors who do not understand the market dynamics [2][4]. - The tulip mania of 1636 is cited as a classic case where prices soared to the equivalent of $25,000 to $30,000 per bulb, only to crash, leaving many investors in financial ruin [4][5]. - The article highlights that all financial bubbles ultimately trend towards zero, with most participants losing not only paper profits but also their principal investments [6][5]. Group 2: Investor Behavior - Investors often succumb to herd mentality, which can lead to irrational decision-making and increased risk exposure [6][10]. - The article references Newton's loss during the South Sea Bubble, illustrating that even the most knowledgeable investors can fall victim to market madness [6][10]. - It stresses the importance of maintaining a cautious approach and avoiding the temptation to chase after fleeting market trends [7][12]. Group 3: Investment Principles - The article outlines four key cognitive tools for successful investing: long-term thinking, independent thinking, risk awareness, and equity mindset [8][13]. - Long-term thinking is crucial for compounding returns, but investors must be patient and resilient against short-term volatility [9][10]. - Independent thinking helps investors avoid the pitfalls of following the crowd, while risk awareness ensures that potential losses are considered before making investment decisions [12][13].

Core Insights - The 25th China Venture Capital & Private Equity Annual Forum highlighted the recovery of the secondary market, with the value of newly invested Chinese companies' IPO shares held by VC/PE institutions exceeding 410 billion yuan, marking a three-year high [6] - The forum emphasized the importance of inclusivity in the private equity market to drive innovation, aligning with the central government's strategy to enhance the attractiveness and inclusivity of domestic capital markets [9] - There is a strong belief in maintaining a steady investment pace in early-stage ventures, as innovation opportunities are more influenced by industry development trends than by the current investment environment [14] Investment Trends - The AI, energy, and biomedicine sectors are viewed as promising areas for future investment [30] - The upcoming year is expected to see a surge in mergers and acquisitions, supported by new financial policies and increased bank lending for such activities [36] - There is a recognition that the current valuation discrepancies in the IPO market could create a false perception of company values, particularly in the Hong Kong market [27] Market Dynamics - The current low debt levels of listed companies in China present a favorable environment for mergers and acquisitions, indicating strong demand for such activities [47] - The forum discussed the cyclical nature of financial bubbles, suggesting that past technological revolutions have often been preceded by periods of speculative excess [39] - The importance of maintaining reasonable valuations and strong cash flow to support leverage and dividends was highlighted as critical for controlling risks in merger investments [45] Future Outlook - The next five years are deemed crucial for companies like Kingdee, which aims to significantly increase revenue from AI, focusing on large-scale acquisitions of overseas AI startups [52] - The rapid development of generative AI is expected to accelerate application growth in the coming year, despite current slower-than-expected adoption rates [78] - The competition in the AI field is characterized as a race between Chinese and overseas talents, with ongoing learning and adaptation between the two [75]

以下文章来源于晚点LatePost ，作者晚点团队 晚点LatePost . 晚一点，好一点 泡沫之后。 作者/曾梦龙 编辑/ 黄俊杰 来源/晚点LatePost (ID：postlate) 继今年成为首个 4 万亿美元市值的公司后，英伟达在 1 0 月 2 9 日成为目前唯一一个 5 万亿公司。 2 0 2 2 年 11 月 底 Ch a tGPT 上 线 前 夕 ， 英 伟 达 还 只 有 4 0 0 0 亿 美 元 市 值 。 之 后 近 三 年，美国资本市场与 AI 密切相关的公司价值就增加了 1 0 多万亿美元，相当于整个 A 股的总市值。 光英伟达新增的市值就超过英法德股市总和。Op e nAI 估值增加 4 8 0 0 亿美元，也超过 了大多数国家的 GDP。 与此同时，今年 1 0 月的新书《1 9 2 9》则回顾了一个技术进步、金融澎湃时代也有另一 种可能。《大而不倒》的作者、美剧《亿万》编剧索尔金（An d r ew Ro ss S o r k i n）回 到大萧条前的经济泡沫，呈现了与今天有诸多相似之处的环境：技术革命连环爆发，电 网 、 家 电 、 收 音 机 、 电 视 机 、 汽 ...

Group 1 - The current state of US-China relations has shifted from intense confrontation to a temporary period of stability following recent high-level meetings, indicating a potential for more balanced interactions in the future [1][3][13] - The US is facing significant financial challenges, with national debt nearing $40 trillion, which may lead to a collapse of its financial system and a decline in the dollar's dominance [4][28] - The US-China decoupling is deemed impossible, as both nations are interlinked economically, and the US has failed to achieve its goals of isolating China from the global supply chain [3][4][13] Group 2 - Chinese companies are advised to reconsider investments in the US and Europe due to the increasingly competitive and hostile environment, which resembles a "jungle" of competition [6][9] - The focus of Chinese investments is expected to shift towards developing countries, particularly in Africa and Southeast Asia, as these regions present more promising opportunities compared to the West [11][12][24] - The trend of Chinese enterprises investing in infrastructure and manufacturing abroad is likely to continue, as these sectors align with China's strengths [8][24] Group 3 - The US's attempts to re-industrialize face significant obstacles, including a lack of skilled labor and deteriorating infrastructure, making it difficult for the country to regain its former industrial prowess [7][8] - The relationship between ASEAN countries and China has strengthened over the past decade, as these nations have become more integrated into China's supply chain [11][12] - The potential for rapid economic development in Africa is highlighted, with Chinese technology and investment playing a crucial role in this growth [12][24] Group 4 - The financial bubble in the US is attributed to excessive money printing since 2008, leading to a disconnect between wealth accumulation and real economic value creation [26][27] - The reliance on virtual currencies and stock markets for wealth generation poses significant risks, with predictions of an impending financial crisis [27][28] - The US's financial strategies, including the introduction of stablecoins, are seen as attempts to manage its growing debt crisis, but they may exacerbate existing financial vulnerabilities [28][29]

Core Viewpoint - The article discusses the current AI investment boom, questioning whether it is a revolutionary opportunity or a bubble, with experts suggesting it may be both [3][9]. Group 1: AI Investment Trends - There is a global surge in AI investments, with predictions indicating that over 90% of GDP growth in the U.S. this year is attributed to AI investments [8]. - Historical patterns show that disruptive technologies often lead to significant investment bubbles, which are difficult to avoid [9]. - The investment frenzy in AI has led to a "market frenzy," but some experts categorize it as a "rational bubble" due to the high stakes of being left behind in technological advancements [14]. Group 2: Opportunities and Benefits of AI - AI presents substantial opportunities for businesses, particularly in enhancing labor productivity and optimizing various operational aspects such as supply chain and management [5][10]. - The application of AI can lead to cost reduction and efficiency improvements, creating value for enterprises [5][10]. - AI's dual impact includes both job displacement and job creation, particularly affecting labor-intensive industries that may increasingly adopt robotics [6]. Group 3: Challenges and Considerations - Companies must prepare adequately for AI integration, especially in terms of data management and strategic planning [7]. - The potential for social consumption shortfalls due to AI's impact on employment needs to be addressed [11]. - The "alignment problem" of ensuring AI systems adhere to human values and ethical standards is crucial for sustainable development [13].

Core Viewpoint - The article discusses the real economic comparison between the US and China, questioning the authenticity of US GDP figures and suggesting that China's economic strength may be underestimated [1][3]. Economic Growth Comparison - From 2019 to 2024, US GDP increased from $21.5 trillion to $29.2 trillion, a growth of nearly 36%, equivalent to adding an economy the size of Spain each year [3]. - In contrast, China's GDP grew from $14.4 trillion to $18.94 trillion during the same period, a growth of approximately 31.5% [7]. Energy Production and Economic Support - US electricity generation only increased from 4.1 trillion kWh to 4.3 trillion kWh, a growth of less than 5%, raising questions about the sustainability of its GDP growth [5]. - China's electricity production rose from 7.1 trillion kWh to 10.1 trillion kWh, a growth of over 42%, indicating solid production support for its economic growth [7]. Automotive Industry Insights - US automobile sales declined from 17.1 million to 16 million units over five years, while China's sales remained stable and it became a global leader in the new energy vehicle sector [9][11]. - By 2024, China emerged as the world's largest automobile exporter, showcasing its manufacturing capabilities [11]. Economic Structure and GDP Calculation Methods - The article highlights the differences in GDP calculation methods: the US uses the expenditure approach, which counts all spending, while China employs the production approach, focusing on actual output [15][19]. - If China were to adopt the US's expenditure method, its GDP could exceed $44 trillion, surpassing the US by $15 trillion [19]. Inflation and Cost of Living - The article points out that the rapid GDP growth in the US is largely driven by inflation rather than real output, with significant increases in consumer prices for everyday goods [21][23]. - The structure of the US economy is shifting, with services now accounting for over 80% of GDP, raising concerns about the actual value generated [23][25]. Market Dynamics and Valuation - The US stock market, particularly AI-related stocks, is experiencing inflated valuations, exemplified by OpenAI's market cap of $13.5 trillion despite only $3.7 billion in profits [27][29]. - The interconnected investments among major tech companies create a "capital game" that inflates valuations without corresponding real demand [29]. Conclusion on Economic Strength - The article concludes that while China's GDP may be statistically lower, it is backed by real manufacturing and infrastructure, whereas the US's high GDP is more reflective of price increases and financial bubbles [31].