Emerging Markets Dynamics - Vietnam has officially joined the BRICS cooperation mechanism as a partner country, welcomed by the Brazilian government, which currently holds the rotating presidency of BRICS [1] - The BRICS partner countries now include Nigeria, Belarus, Bolivia, Kazakhstan, Cuba, Malaysia, Thailand, Uganda, and Uzbekistan, expanding the total number of BRICS members to 11 [1] Financial Cooperation - The People's Bank of China and the Central Bank of Turkey have renewed a bilateral currency swap agreement with a scale of 350 billion RMB (approximately 189 billion Turkish Lira), effective for three years [2] - A memorandum of cooperation was signed to establish a RMB clearing arrangement in Turkey, enhancing financial cooperation and facilitating cross-border trade and investment [2] Platform Developments - TikTok announced an investment expansion in the UK to approximately £140 million (around 1.36 billion RMB), including the establishment of a new office in London and an increase in employee numbers to 3,000 [3] - TikTok Shop in Southeast Asia has relaxed entry policies for businesses, removing e-commerce experience requirements, allowing individual sellers to enter the market more easily [4] - TikTok Shop has launched a "Hot Product Takeoff Plan" in the US and Europe, providing various support resources to help merchants boost sales during the summer season [5] Industry Observations - Vietnam's commercial air conditioning market is projected to reach $600 million in 2024, with a year-on-year growth of 14.9%, while the first quarter of 2025 is expected to see a market size of $123 million, growing by 13.9% [9] - In Indonesia, the commercial air conditioning market is expected to reach $218 million in the first quarter of 2025, reflecting a year-on-year growth of 7.2% [10] - The Chinese mobile gaming industry accounted for 36.6% of global revenue in May 2025, with 33 Chinese companies making it to the top 100 global mobile game publishers [11] Shipping and Logistics - In the first five months of the year, Chinese shipbuilders secured 274 new ship orders, accounting for approximately 49% of the global market share, while global new ship orders have dropped to a near four-year low [12][13] - The demand for OLED display panels is expected to grow significantly, with a projected annual growth rate of 69% in 2025, driven by strong demand in the gaming sector [14] Policy Changes - Starting July 1, Vietnam will require e-commerce platforms to withhold and pay taxes on behalf of sellers, including VAT and personal income tax, with specific rates outlined for different types of transactions [21]

Core Viewpoint - The integration of AI in education is transforming the landscape, enhancing efficiency and personalization, while also raising questions about the potential drawbacks of over-reliance on technology [2][4][5]. Group 1: AI's Impact on Education - AI has become a significant tool in education, assisting in tasks such as grading, personalized tutoring, and creating immersive learning experiences [2][4]. - The online education market in China is projected to reach 2.628 trillion yuan in 2023, with AI's contribution expected to rise from 7% to approximately 16% by 2027 [4]. - AI is seen as a means to promote educational equity, providing access to quality resources for students in remote areas, although disparities in access to technology may exacerbate inequalities [4][5]. Group 2: Efficiency and Personalization - AI enhances efficiency in educational settings, allowing for rapid grading and data analysis, which helps teachers tailor their strategies to individual student needs [2][4]. - In Shanghai, AI-driven changes are evident in schools, where teachers can use smart grading machines to complete tasks that previously took much longer [2]. Group 3: Concerns and Limitations - There are concerns that reliance on AI may lead to a rigid educational environment, lacking the warmth and creativity of traditional classrooms [5][6]. - The simplification of the learning process by AI may eliminate valuable moments of discovery and critical thinking that occur through human interaction [6][7]. - The potential for AI to dominate the educational experience raises questions about the balance between technology and the human elements of teaching and learning [5][6].

Group 1 - The core viewpoint emphasizes the necessity for companies to accurately grasp technological trends and adopt flexible decision-making and efficient operational models to navigate market challenges [1] - IDC's global smart ERP forecast outlines key development directions for ERP and enterprise application technologies, aiding companies in their digital transformation [1] Group 2 - The report highlights that with the deep integration of AI technology, companies will leverage intelligent tools to quickly process vast amounts of data, generating insightful analysis [2] - By the end of 2026, 65% of companies are expected to utilize AI-driven technology assistants to optimize decision-making processes and enhance operational efficiency [2] - These technologies will not only automate daily tasks but also continuously optimize algorithms through deep learning, enabling rapid responses to market changes [2] Group 3 - Companies will achieve efficient resource allocation and rapid skill enhancement of employees by introducing digital workers and intelligent collaboration tools [3] - By the end of 2025, 35% of companies are projected to utilize digital workers to improve resource collaboration and achieve more valuable outcomes [3] - The integration of AI into processes aligned with employee workflows is expected to boost overall operational efficiency by 45% while ensuring financial stability during scale expansion [3] Group 4 - In response to increasingly stringent regulatory environments and ESG requirements, companies need to integrate sustainability concepts into daily operations [4] - By mid-2027, 55% of companies globally are anticipated to use ERP systems as the main hub for handling ESG-related tasks, ensuring accurate data collection and transparent analysis [4] - By 2028, 70% of companies are expected to adopt unified electronic invoicing and compliance-as-a-service to address evolving tax regulations and reduce compliance risks [4] Group 5 - The shift towards automation is becoming a critical development area, focusing on automating tasks that require human judgment and decision-making [7] - Careful implementation is essential, necessitating meticulous management of data quality, governance, and storage to maintain the accuracy of automation tools [7] Group 6 - The current phase of AI technology is transitioning from experimentation to monetization, with a focus on proving that "realized AI" can generate tangible business impacts [8] - Technology buyers are initially concentrating on efficiency and automation scenarios, but the long-term goal is to leverage AI to initiate new business models and revenue streams [8] - Companies must consider ethical and data privacy risks associated with AI while identifying optimal scenarios for effective implementation [8]

Core Insights - The article discusses the transformative impact of AI, particularly ChatGPT, on business and entrepreneurship, highlighting the importance of strategic thinking and problem-solving models in leveraging AI for growth [2][4][70]. Group 1: Discovering Problems - Many AI experiments fail not due to technical limitations but because of incorrect problem identification [8]. - The Johari Window model helps in understanding boundaries and expectations, revealing opportunities in the "AI doesn't know" quadrant [9][10]. - Emphasizing the need to respect the "I don't know" quadrant to avoid repeated investments based on false assumptions [12]. Group 2: Problem Decomposition - The Pyramid Principle and MECE framework are essential for structured problem decomposition, ensuring clarity and comprehensive coverage [28][30]. - The principle of Occam's Razor suggests prioritizing the simplest solution to avoid over-engineering [34][36]. - First Principles thinking encourages breaking down problems to their core elements for innovative solutions [39][41]. Group 3: Validation and Iteration - The MVP (Minimum Viable Product) approach advocates for quickly launching prototypes to gather user feedback and iterate based on data [49][51]. - Iterative thinking involves a cycle of prompt, output, review, and refinement to achieve optimal results [54][56]. - ROI (Return on Investment) awareness is crucial for understanding costs and benefits, emphasizing the importance of time and opportunity costs in decision-making [64][66].

本文作者 Emily Prince LSEG 分析业务集团负责人 Adam Towne LSEG 规模化分析产品业务总监 Jake Katz LSEG 分析研究业务负责人 AI正凭借自动化、预测功能以及个性化洞察，推动金融分析领域变革。 政治动荡与监管松绑要求采用灵活、基于情景的风险建模方式。 实时风险管理至关重要——日内数据助力更快、更明智的决策。 金融行业正步入一个技术飞速发展、政治格局不断变化以及市场复杂性日益增加的时代。2025年，金融专 业人士务必要为多个关键趋势做好充分准备，这些趋势将对其分析、预测和管理市场走势的方式产生重大而 深远的影响。AI的崛起、政治局势动荡加剧、监管政策放松，以及实时风险管理速度的持续提升，这些都 是将定义今年金融分析格局的一些趋势。 让我们深入探讨 2025 年将塑造金融分析的主要趋势，以及金融机构如何借助合适的工具和策略在这个不断 演变的格局中稳健前行。 应 对 大 量 生 成 式 A I 工 具 的 涌 现 AI已不再是未来概念，而是金融分析的关键要素。2025年，AI将在复杂任务自动化、提升决策能力以及提 供实时见解方面发挥更为重要的作用。金融公司正大力投资AI， ...

Core Viewpoint - The podcasting platform is emerging as a strategic new frontier for public fund brand communication and investor education, with over 20 public fund companies launching podcast channels in 2024 [1][2]. Group 1: Industry Trends - The podcast format is gaining popularity among investors for its depth, companionship, and convenience in information acquisition, becoming an important channel for understanding the market [2][4]. - Major public fund companies, including Huaxia Fund and China Europe Fund, have reported significant subscription numbers for their podcast channels, with Huaxia Fund's "Dafang Talks Money" reaching nearly 75,000 subscribers and a popular episode garnering over 116,000 plays [2][3]. - The shift from a "sales-oriented" approach to a "customer companionship" model is seen as a critical transition for the fund industry, with podcasts facilitating this change by providing relaxed and trustworthy content [1][7]. Group 2: Company Strategies - Da Cheng Fund has initiated its podcast platform to enhance investor education, focusing on timely research insights, market discussions, and promoting rational investment values [3][6]. - The audio format of podcasts allows for deeper communication and trust-building with investors, as it provides a more immersive experience compared to text or video [4][5]. - Companies believe that the podcast medium can effectively convey complex financial topics and enhance brand loyalty by fitting into various daily routines of users [6][7]. Group 3: Future Outlook - The podcast platform is expected to continue attracting quality financial content producers, enhancing the user experience and service offerings in the public fund sector [7][8]. - The rapid development of artificial intelligence (AI) technology is anticipated to support the growth of podcast platforms, enabling the creation of low-cost, high-efficiency, and personalized content [7][8]. - The financial podcasting space in China is still in its early stages, with significant growth potential as more financial institutions and influencers are expected to join the podcasting trend [8].

来源丨 腾讯科技（ID：qqtech） 被誉为"AI教父"的杰弗里·辛顿 于 近日接受了调查记者盖昂·埃斯皮纳的远程专访。 他称，AI正在以前所未有的速度演化： 变得更聪明、更少犯错，甚至具备了情感和意识。 他警告， AI不仅可能具备喜怒哀乐等情绪，还已经学会了欺骗。 辛顿大胆预测， AI完全失控的概率在10%到 20%之间，人类未来可能被AI所掌控。 辛顿因在机器学习和神经网络领域的开创性贡献，于2024年荣获诺贝尔物理学奖。他曾在谷歌担任 AI研究负责人长达十年 ，并 于2023年选择离开 。这样，他可以 更坦率地表达对AI潜在风险的深切 担忧。 过去那些只存在于反乌托邦科幻小说中的问题—— "AI会取代人类吗？"、"它会觉醒吗？"、"会反抗 人类吗？" ——如今正逐渐成为现实世界的核心议题，全球社会正在被迫直面这些重大挑战。 问： 当你说"AI更擅长推理"时，具体指的是什么？ 辛顿： 过去，只要问题稍微复杂一点，AI就容易出错。但现在，AI在推理上的表现已经接近人类。虽 然人类和AI都会犯错，但AI犯错的概率正在迅速下降。 辛顿的言论再次发出警示： AI不仅仅是技术革命，更是深刻的伦理与社会变革。 未来 ...

美国的半导体工厂 起到拉动作用的主力已从智能手机用产品变成人工智能（AI）用产品。英伟达的利润占到10家企业总 利润的约40%。从整体市场预期来看，预计4～6月10家企业将继续实现利润增长…… 全球10家主要半导体企业1～3月的净利润时隔2年再创新高。这些企业的合计净利润达到463 亿美元，同比增长41%。起到拉动作用的主力已从3年前的智能手机用产品变成人工智能 （AI）用产品。英伟达的利润占到10家企业总利润的约40%（2022年占4%）。从整体市场 预期来看，预计4～6月10家企业将继续实现利润增长。 日本经济新闻（中文版：日经中文网）使用QUICK FactSet的数据，按照美元统计了从事半 导体设计开发及制造业务的10家主要企业的1～3月数值（部分企业为2024年12月～2025年 2月，2～4月）。10家企业的合计销售额达到1819亿美元，增长22%。与去年同期相比，英 伟达及台积电（TSMC）等8家企业实现利润增长。美国英特尔的最终亏损幅度扩大，从事车 载半导体业务的瑞士意法半导体（STMicroelectronics）的利润出现下滑。 日经中文网 https://cn.nikkei.com 视频 ...

本期内容转载自公众号「十分之一信箱」 鞋子上随处可见的 BOA 旋钮 到底是个什么「黑科技」? 01 童鞋和滑雪靴,听起来完全不搭边啊,但 是,滑雪靴,正是 BOA 最开始使用的地 方。 02 BOA 的名字居然就是「蟒蛇」? 03 Vans 在滑板鞋领域,已经是全球最知 名的品牌之一了,一个名气这么大的品 牌,怎么会选择和一家「一人公司」合作 呢? 04 BOA 闭合系统现在用的「旋钮 + 细线」 的组合,其实在医疗器械里早就有类似 的设计。 Hi 亲爱的朋友！ 播客「Knock Knock 世界」昨天已经更新到第 31 期了。继续来看看过去两周都我们为你敲开了哪几扇门？ 原来 AI 也会「口渴」! 为什么 AI 的发展这么费水? 「没有牛命」的人工智能也就是 AI,在被 卖掉公司有些「闲」的创始人 Garv,给自 05 己先做了一双有 BOA 雏形的滑雪鞋, 于是觉得也许这是下一个创业机会。 06 创业有些受挫的 Gary,到处闲逛找人聊 天,从一个自行车配件厂商那里找到了 BOA 商业模式的灵感。 到处被说「不靠谱」的 Gary 是怎么在中 07 国找到突破口的?又是如何从突破发展 到今天成为人人争着要 ...

图片来源： Bloomberg Z Highlights ： 黄仁勋（ Jensen Huang ）是 Nvidia 的创始人。 Nvidia 不仅推动 GPU 在深度学习领域的应用革命，也在自动驾驶、机器人、人形智能体等多个前沿科技领 域持续创新。黄仁勋不仅回应了中国市场受限对业务的影响，也罕见表达了对特朗普政策的积极态度，并分享了与马斯克在 AI 、人形机器人领域的合作构 想。本文是 Bloomberg 记者 Harrison 与黄仁勋的访谈实录，访谈播客于 2025 年 5 月播出。 中美 AI 博弈下的战略调整： Nvidia 在中国的挑战与坚持 采访者： 您刚才详细谈到了中国市场的现状，但我想回到一个尚未被充分提及的问题 —— 您第二财季的销售额为 450 亿美元，上下浮动 2% 。其中，与 中国市场及 H20 芯片相关的收入损失约为 80 亿美元。看起来您似乎通过其他产品、其他地区或不同市场需求的增长弥补了这一部分损失。具体情况是怎 样的？ 黄仁勋： 我们现在其实是 " 多引擎齐发 " 。其中最强劲的引擎当然是推理型人工智能，其市场需求已经远超想象。你可以看到各种 AI 服务如今都非常受 欢迎，例 ...