美元黄昏与黄金的逆袭：一场全球货币信仰的转变 2025年5月，美国失去最后一个AAA主权评级，37万亿美元国债的利息支出已超过军费开支，预示着美元霸权的衰落。 特朗普曾公开宣称"美元太强会伤害 贸易"，这一言论暗示着弱势美元已成为美国政府的默许策略。 此后，外汇市场风云突变，投资逻辑面临重塑。日本养老金GPIF宣布减持美债，转而投资澳 元资产；沙特主权基金更将人民币资产配置比例提升至12%。这些看似微小的举动，却正在悄然动摇美元体系的根基。美元指数连续六个月下跌，全球资金 加速逃离美元资产，日元、瑞士法郎等避险货币年初至今升值超过12%，创下三十年来最大涨幅。黄金价格则突破3300美元/盎司，各国央行上半年增持黄 金量同比激增74%，黄金的逆袭，正印证着投资者对美元未来走势的担忧。 散户接盘与债务陷阱：美股盛宴下的隐忧 看似欣欣向荣的美股市场，实则暗藏风险。标普500和纳斯达克指数双双刷新历史新高，看似抹平了四月19%的暴跌创伤，但这背后却是散户资金的"孤注一 掷"。数据显示，四月市场暴跌期间，超过90%的抄底买单来自个人投资者，而机构投资者却在悄悄减持。 摩根士丹利的数据进一步佐证了这一点："科技七 巨头" ...

更多资料加入知识星球：水木调研纪要 关注公众号：水木纪要 J u n e 0 , 2 0 2 5 H o w O r a c e s W i n n i n g t h e A C o m p u t e M a r ke t / / S t a r g a t e, OpenA, ByteDance, Unique Datacenter Strategy, nvestment Grade Neoc o u d, Revenue and EBT Forecast 甲⻣⽂如何赢得 A 计算市场：星际之 ⻔、OpenA、字节跳动、独特数据中⼼ 战略、投资级新云、营收与息税前利润预 测 15 minutes 15 分钟 No comments 暂⽆评论 By , and作者：杰⾥⽶·埃利亚胡·昂蒂⻙罗斯、迪伦· 帕特尔和丹尼尔·尼什鲍尔 Jeremie Eiahou Ontiveros Dyan Pate Danie Nishba M a n a g e c o n s e n t 管 理 同 意 更多资料加入知识星球：水木调研纪要 关注公众号：水木纪要 Orace's Coud nfrastructure bus ...

｜2025年7月2日 星期三｜ NO.1 中央财经委：纵深推进全国统一大市场建设，推动海洋经济高质量发展 每经记者｜杨建 每经编辑｜赵云 7月1日，据新华社报道，中央财经委员会第六次会议，研究纵深推进全国统一大市场建设、海洋经济高 质量发展等问题。会议指出，纵深推进全国统一大市场建设，基本要求是"五统一、一开放"，即统一市 场基础制度、统一市场基础设施、统一政府行为尺度、统一市场监管执法、统一要素资源市场，持续扩 大对内对外开放。会议强调，推动海洋经济高质量发展，要更加注重创新驱动，更加注重高效协同，更 加注重产业更新，更加注重人海和谐，更加注重合作共赢。会议指出，推动海洋经济高质量发展，要加 强顶层设计，加大政策支持力度，鼓励引导社会资本积极参与发展海洋经济。 NO.2 两部门提出16条措施支持创新药高质量发展 7月1日，国家医保局、国家卫生健康委印发《支持创新药高质量发展的若干措施》，提出5方面16条措 施，对创新药研发、准入、入院使用和多元支付进行全链条支持。一是通过医保数据支持、鼓励加大创 新药投资、实施目录准入政策辅导及国家科技重大专项支持等措施，激发创新药研发活力。二是构建创 新药多元支付体系，拓 ...

Core Insights - AWS has experienced significant growth in AI and cloud migration, with many customers rapidly adopting new technologies and moving their entire business systems to the cloud [4][6] - The company anticipates that the proportion of inference workloads in AI will continue to rise, with predictions that 80% to 90% of AI workloads will be inference-based in the long term [5][8] - AWS's AI business has reached a multi-billion dollar scale, driven by customer usage of AWS and internal applications of generative AI technology [6][7] AWS Achievements - AWS has seen remarkable customer innovation and technology adoption over the past year, particularly in the context of AI and generative technologies [4] - The launch of the "European Sovereign Cloud" is expected to create significant market opportunities, addressing customer concerns about data sovereignty [5] AI Workloads and Inference - The shift from training to inference in AI workloads is evident, with inference now surpassing training in usage [10] - AI is becoming an integral part of application development and user experience, making it difficult to quantify the revenue generated by AI-driven applications [9] Industry Indicators and Innovations - Token generation is recognized as a relevant metric, but it is not the sole measure of AI workload, as many models perform extensive computations before generating outputs [11] - Project Rainier, a collaboration with Anthropic, aims to create a massive computing cluster for training next-generation cloud models, showcasing AWS's commitment to innovation [13] Open Ecosystem and Collaboration - AWS emphasizes the importance of providing customers with a variety of technology options, avoiding a binary competition narrative with Nvidia [14][15] - The company is expanding its data center capacity in Latin America, with new regions in Mexico and Chile to meet growing customer demand [18]

Core Insights - AWS has achieved significant growth in AI and cloud migration, with a notable increase in customer adoption of new technologies and innovations [3][4] - The AI business has reached a multi-billion dollar scale, with AWS contributing significantly through its infrastructure and services [4][5] - The shift towards AI-driven applications is expected to reshape business operations across industries, marking the beginning of a transformative era [4][6] AWS Achievements - AWS has experienced a year of remarkable innovation, particularly in customer-driven AI technology adoption [3] - The company has seen a surge in clients migrating their entire business systems to the cloud, driven by advancements in AI and generative technologies [3][4] AI Business Scale - AWS's AI business has reached a multi-billion dollar scale, with contributions from both its infrastructure services and internal applications [4][5] - The AI technology is being utilized across various aspects of Amazon's operations, enhancing logistics, customer interactions, and product discovery [5] Rise of Inference Economy - The proportion of AI workloads focused on inference is expected to increase significantly, with predictions that 80% to 90% of AI workloads will be inference-based in the long term [6][7] - Inference is becoming an essential component of applications, integrating deeply into user experiences [7][8] Industry Metrics and Innovations - Token generation is emerging as a relevant metric for measuring AI performance, although it has limitations in reflecting actual workload [9][10] - The industry is witnessing a shift in how token metrics are perceived, with a growing recognition of the complexity of AI tasks beyond simple token counts [9][10] Project Rainier - Project Rainier, a collaboration with Anthropic, aims to create a massive computing cluster for training next-generation cloud models, showcasing AWS's commitment to AI advancements [10][11] - The deployment of Tranium Two servers is underway, with promising performance metrics being reported [10][11] Open Ecosystem and Collaboration Strategy - AWS emphasizes the importance of providing customers with diverse technology options, avoiding a binary competition narrative with Nvidia [14][15] - The company is actively expanding its partnerships and ensuring compatibility with various platforms to meet customer needs [17][18] Data Center Expansion - AWS is expanding its data center capacity in Latin America and Europe, with a focus on the upcoming "European Sovereign Cloud" to address data sovereignty concerns [19][20] - The company is committed to enhancing its infrastructure to support growing customer demands across different regions [19][20]

Core Viewpoint - The opening of the Shenzhen-Zhengzhou-Zhongwei flight route marks a significant step in regional collaborative development, creating a convenient air corridor connecting the southeastern coastal area with the northwestern region of China [3][4]. Group 1: Flight Route Details - The new flight route operates three times a week on Tuesdays, Thursdays, and Saturdays, significantly reducing travel time for residents of Zhongwei and surrounding areas to the Guangdong-Hong Kong-Macao Greater Bay Area and the Central Plains [3]. - The route facilitates tourism by providing easier access for visitors from Shenzhen and Zhengzhou to explore the unique desert landscapes and Yellow River culture of Zhongwei [3]. Group 2: Economic and Cultural Impact - The flight route is expected to enhance economic collaboration among Shenzhen, Zhengzhou, and Zhongwei, leveraging their respective strengths in technology, finance, and data storage industries [3][4]. - The new air link will serve as a cultural exchange conduit, promoting tourism and cultural integration among the three regions, thereby advancing Zhongwei's "aviation + tourism" industry [3][4]. Group 3: Airport Development and Future Plans - Zhongwei Airport has been actively optimizing its flight network, currently offering routes to major cities including Beijing, Kunming, Xi'an, Shanghai, Shenzhen, Zhengzhou, Hangzhou, and Xining, with plans to add routes to Kashgar, Chengdu, and Tianjin [4]. - The airport aims to enhance service quality and explore innovative products such as "tourism charter flights" and "aviation study tours" to attract more tourists and support the local economy [4].

Core Insights - Xuzhou is transitioning from a traditional industrial hub to a digital economy center, leveraging its geographical advantage and integrating safety into its digital city construction [1] - The collaboration between Xuzhou and Huawei Cloud focuses on building a comprehensive security operation system centered around "Security Cloud Brain" to enhance data security and resource integration [2][4] - The establishment of the "Xuzhou Government Cloud" platform aims to promote smart governance and efficient utilization of data resources, incorporating over 300 municipal projects into a unified management system [1][2] Group 1 - The "Xuzhou Action Plan for Deepening Intelligent Manufacturing Transformation (2025-2027)" emphasizes the importance of safety management and emergency response capabilities in digital transformation [1] - The partnership with Huawei Cloud has evolved from infrastructure development to a focus on security capabilities, marking a significant upgrade in their collaboration [2] - The "Xuzhou Government Cloud" has been developed to provide one-stop services for government information systems, marking the initial steps towards a digital economy [2][3] Group 2 - The "Xuzhou Government Cloud" platform has successfully established a digital foundation for the city, incorporating core components like Gaussian databases and cloud search for autonomous innovation [3] - The "Security Cloud Brain" serves as the main security operation platform, addressing the complexities of cybersecurity in the context of cloud-based governance [4][6] - The platform utilizes cloud-native architecture to manage assets and security status, creating a "digital asset map" for effective identification and remediation of security vulnerabilities [4][6] Group 3 - The "Security Cloud Brain" integrates advanced threat analysis capabilities to manage and respond to security incidents, enhancing operational efficiency [5][6] - The AI-driven approach in security operations has significantly improved the detection of vulnerabilities and potential threats, increasing operational efficiency by 60% [6][7] - A standardized emergency response model has been established, ensuring comprehensive security protection for the Xuzhou Government Cloud [7]

嘉宾：亚马逊全球副总裁、亚马逊云科技大中华区总裁 储瑞松 "AI的发展已经来到一个拐点，我们正处在Agentic AI爆发的前夜。" 文 丨 新浪科技 周文猛 "AI Agent只是单一的某个智能体，Agentic AI 才能比较清楚地描述我们的现状。" 期数：No.76 "今年亚马逊资本支出，将主要用于云和AI基础设施建设。" "在大环境的不确定性下，出海选择对的云要考虑业务策略灵活性。" …… 这一系列的观点，是亚马逊全球副总裁、亚马逊云科技大中华区总裁储瑞松在与新浪科技《科创100 人》独家沟通中，对当前AI发展及企业出海的洞见。 在国内热衷于谈论AI Agent的当下，作为亚马逊云科技大中华区一把手的他却有着更多的克制与理性， 认为Agentic AI 才更能够描述我们当前所处的AI发展环境。 但克制的背后，2025年亚马逊将投资1000亿美元用于云和AI基础设施建设的豪气，也在用实际行动， 为其带领的亚马逊云科技在中国乃至于全球市场发展提供着充足的弹药。 伴随大模型能力的快速提升和使用成本急剧下降，被模型上下文协议（MCP）极大简化了交互及协作 难度的智能体将如何重塑生产力？而储瑞松带领的亚马逊云科 ...

| | | 全球 一般票指数 | | | | --- | --- | --- | --- | --- | | 市场 | 名称 | 现价 | 涨跌 | 涨跌幅 | | 欧美 | 道琼斯工业平均 | 44094.77 | 275.5 | 0.63% | | | 纳斯达克 | 20369.73 | 96.27 | 0.47% | | | 标普500 | 6204.95 | 31.88 | 0.52% | | | 欧洲斯托克50 | 5303.24 | -22.4 | -0.42% | | | 英国富时100 | 8760.96 | -37.95 | -0.43% | | | 法国CAC40 | 7665.91 | -25.64 | -0.33% | | | 德国DAX | 23909.61 | -123.61 | -0.51% | | | 俄罗斯RTS | 1142.24 | 15.69 | 1.39% | | | 上证指数 | 3444.42 | 20.2 | 0.59% | | | 深证成指。 | 10465.12 | 86.57 | 0.83% | | | 创业板指 nahulcos | | 2153 vd. ...

美股银行股全线狂飙。 30日晚间，美股三大指数集体走强，美股大型银行股集体大涨，高盛一度大涨超3%，富国银行、摩根大通、 花旗银行盘中股价均创出历史新高。消息面上，美国大型银行通过了美联储年度压力测试，为启动数十亿美元 股票回购和股息派发扫清障碍。 与此同时，美国财长贝森特也有最新表态。贝森特表示，最后一周将有一系列贸易协议达成。任何关税谈判的 延期都将由美国总统特朗普决定。 对于关税政策的影响，华尔街警告称，随着特朗普在今年4月掀起的全球"贸易战"的影响逐步显现，美股上市 公司的利润率将在第二财报季迎来一场"大考"。 全线大涨 北京时间6月30日晚间，美股开盘后，三大指数震荡走强，截至23:20，道指涨0.29%，纳指涨0.10%，标普500 指数涨0.13%。 美股大型银行股集体大涨，高盛一度大涨超3%，盘中创出历史新高；富国银行涨近2%，摩根大通、花旗银行 涨超1%，盘中股价均刷新历史新高。 消息面上，美联储最新公布的压力测试显示，美国大型银行能够承受严重经济衰退冲击，并拥有充足资本吸收 数千亿美元损失。 据美联储公告，在此次覆盖22家资产超千亿美元银行的测试中，所有机构在极端假设情景下均能将资本水平维 ...