All right, it's been another solid year for the Mag 7 collectively. The CNBC index that tracks those mega cap names up more than 25%. But as Mackenzie Sagales reports, there's a growing disparity between the halves and the have nots within the Mag 7.The Mag 7 trade is splintered this year, and 2026 could widen that gap even further. We're looking at a roughly 60 percentage point spread between the best and worst performers. Alphabet up 65%, Amazon just 5 a.5% with the market now differentiating based on who ...

Amazon's (AMZN) stock has hardly had a prime performance in 2025. Shares of the e-commerce and cloud giant are only up 6% year to date, badly lagging the 18% advance for the S&P 500 (^GSPC). Experts cite slowing sales growth in the Amazon Web Services (AWS) business and mixed sentiment on the company's ability to monetize artificial intelligence as the drivers of the "mixed" sentiment. Amazon didn't do much to bolster sentiment in October when it announced its largest-ever round of layoffs in its history ...

过去一年，尽管亚马逊云科技（AWS）增长重新加速，且公司利润率最高的商业化业务持续扩 张，亚马逊（AMZN）的股价表现仍落后于整体科技市场。 公司当前估值较历史水平存在折 价，市场担忧的核心在于其 2025 年资本支出预计将接近 1250 亿美元，且 2026 年还可能 进一步增加。市场关注短期现金流的逻辑虽可以理解，但投资者忽略了其商业模式中蕴含的 潜 在期权价值 —— 这一价值将推动 2026 年成为公司基础设施投资转化为利润率扩张的关键之 年。 通过发力定制化芯片（Trainium3）并向服务主导型营收结构转型（目前服务收入占总销售额 的 60%），亚马逊正将自身定位为 低成本算力提供商 ，同时在电商基础上搭建更高价值的商 业化平台。对公司而言，关键在于当推理任务成为主导型工作负载时，现有算力规模所能支撑 的利润率水平与定价能力。 【如需和我们交流可扫码添加进社群】 亚马逊的投资逻辑并非赢得整个人工智能军备竞赛，而是通过 单位经济效益规模化 ，同时维 持多元化的商业化渠道，以对冲业务执行风险。 尽管自由现金流有所压缩，但多元化的现金来 源与持续改善的资本回报率，仍使亚马逊具备长期投资吸引力。 资 本 配 ...

整理 | 美股研究社 在这个快速 变 化的 时代， 人工 智能技术正以前所未有的速度发展，带来了广泛的机会 。 《AI日 报 》致力于挖掘和分析最新的AI概念股公司和市场趋势，为您提供深度的行 业 洞察和 价 值 分析。 A I 快 报 【分析师质疑英伟达与Groq的交易规避监管，交易细节待披露】 从北京市教委了解到，为推动"人工智能+教育"，北京推出三项"AI+教育"应用成果：基础教 育垂类大模型及学科知识图谱、AI教育应用超市3.0、教育可信数据空间。基础教育垂类大模 型及学科知识图谱，将为中小学个性化教学与精准评价提供智慧支持；AI教育应用超市3.0版 本，新增开放入驻、产品体验、自研工具、产品点评、应用检测等五大功能，打造教育AI产品 供给新生态；北京市教育可信数据空间率先建成，推动教育数据在安全可控前提下有序流通与 开发利用，实现教育公共数据"供得出、流得动、用得好、管得住"。 【"白皮书"称人工智能数据中心演进为驱动创新的"前沿源泉"】 英伟达与Groq宣布达成的一项200亿美元交易被描述为"非排他许可协议"。 分析师指出，这类非排他性许可协议近年来被科技巨头广泛使用，部分原因是规避监管审查。 B ...

Core Viewpoint - Investors with a positive outlook on the U.S. technology market, particularly the Magnificent 7 stocks, may find value in investing in Roundhill's Magnificent Seven Covered Call ETF (MAGY) [1] Group 1 - The ETF is designed for those who are bullish on the technology sector and specifically targets the Magnificent 7 stocks [1] - The article suggests that a small investment in MAGY could be beneficial for investors looking to capitalize on the growth of these technology stocks [1]

后疫情时代，为应对疫情造成的衰退，全球经济体大多实行货币与财政宽松，但这致使政府赤字与债务水平同步攀升。面对全球政府债务高企伴随着增长承 压的长期问题，我们认为化解债务的主要路径有三条： ①增长化债（技术进步） ②通胀化债（全球通胀） ③财政化债（财政紧缩） 路径③财政化债： 主动财政紧缩路径在短期较难实现：（1）全球经济仍在回暖的趋势中，短期快速收紧财政政策将会使得经济再度走弱；（2）目前2026年全球主要经济体基 本宣布以宽财政政策基调为主；（3）全球流动性预计维持合理充裕，宽货币基调延续以配合赤字扩张。中、美、欧等经济体仍处于降息周期中，日本货币 政策边际收紧，但利率仍然极低。 路径①增长化债： AI是增长化债的唯一引擎。当前全球AI巨头进入"军备竞赛"，市场对AI泡沫的担忧加剧，但我们认为AI产业浪潮还在上升阶段：（1） 从潜在需求与业绩释 放能力来看，AI的产业趋势仍处于上行阶段；（2） 投融资可持续性较强，但有进入依靠债务融资的迹象。整体来看融资结构较为可控；（3）市场情绪乐 观但未狂热；（4）宏观环境与市场整体结构并没有出现明显的背离，市场整体较为稳固；（5） GPU利用率较高，并未出现过度闲置 ...

A young adult with the median income can build a sizable portfolio that pays a substantial dividend by following this simple investment strategy.The median annual income for full-time workers ages 25 to 34 was approximately $60,000 as of September 2025. That would be about $45,500 after federal and state income taxes even in the worst scenario. Financial advisors recommend saving 20% of after-tax income for retirement, which means $9,100 per year ($758 per month) for the median worker in that age group.Howe ...

一个世纪前，柏基投资在启蒙运动发源地苏格兰爱丁堡悄然创立，这家坚守成长型企业长期投资的机 构，凭借独特投研体系穿越一战、二战、互联网泡沫、全球金融危机等多轮周期，管理资产规模突破 2 万亿人民币，收益甚至超越巴菲特，成为资管界罕见的百年老店。 全文15135字，干货很多，但也很长。 欢迎下载"小宇宙"APP，找到"重阳Talk"收听音频版。 Part 1 柏基的独特基因：历史、地域与灵魂人物 柏基投资的独特之处 从早期布局亚马逊（ Amazon ）、特斯拉（ Tesla ），到逆势投资腾讯（ Tencent ），柏基精准 捕捉 "爆炸式赢家" 的投资传奇，背后是对技术经济范式变革的深刻洞察，以及不对称回报、收益递 增等理论支撑的成熟方法论。其灵魂人物安德森（ James Anderson ）秉持多元学科思维，将爱丁 堡的思辨精神融入企业文化，用情景假设估值替代传统市盈率指标，在风险与机遇的平衡中走出了一 条 "价值投资 3.0 " 之路。 本期节目，重阳TALK主理人舒泰峰与《柏基投资之道》作者李正、韩圣海两位老师进行了一场精彩对 话，一同拆解这家百年资管机构的成功密码。 舒泰峰 ： 柏基投资的独特性体现在哪 ...

智通财经APP获悉，美国股市已基本确定在2025年连续第三年实现双位数涨幅。在这一年里，支撑美股涨势的不止AI热潮下受益的科技巨头，更多AI价值链 上的公司同样获得青睐。与此同时，银行、医疗保健等价值股重新被投资者关注，贵金属猛涨则带飞金银矿业股。展望2026年，美股涨势将面临多重考验， 波动性预计也将贯穿全年。在AI对美股的提振可能减弱的情况下，周期股或许会成为新的"主角"。 一、回望2025 1、美股年内屡创新高 AI仍是主引擎 在人工智能(AI)热潮、货币政策宽松预期、企业盈利持续超预期以及地缘政治风险缓和(如贸易摩擦缓解)等多重因素的推动下，美股连续第三年实现双位数 涨幅。数据显示，截至12月24日，标普500指数年内上涨约18%，在12月26日盘中一度涨至6945.77点，创下历史新高;以科技股为主的纳斯达克综合指数上涨 约22%，道琼斯指数则上涨约14%。 具体来看，标普500指数的11个细分板块中，通信服务板块与信息技术板块涨幅靠前，分别上涨了约32%和25%。其中，通信服务板块的华纳兄弟探索 (WBD.US)在收购消息的加持下今年迄今涨超172%。信息技术板块中，在存储行业迎来"超级周期"的加 ...

Core Insights - The article emphasizes that rather than questioning whether AI is a bubble, it is more pertinent to ask what smart money is doing, highlighting significant investments by major companies like Google, Microsoft, and Amazon in AI [5][15][24] - The demand for computing power in AI is currently immense and unmet, suggesting that if companies like OpenAI and Anthropic doubled their reasoning power, their revenues could also double within a month [5][41] Group 1: AI Investment Landscape - Major tech companies are significantly increasing their capital expenditures in AI, with each round of investment surpassing the previous one [15][16] - The AI market is highly concentrated, with approximately 35 to 36 companies contributing to 99% of the revenue, indicating that it is still in a nascent stage [17][19] - Nvidia is expected to reach a market valuation of $10 trillion within five years, reflecting the industry's growth potential [8] Group 2: Nvidia and Groq Acquisition - Nvidia's acquisition of AI chip startup Groq for approximately $20 billion is seen as a strategic move to enhance its AI capabilities and integrate Groq's low-latency processors into its AI infrastructure [8][9] - Groq's unique selling proposition lies in its LPU chips designed specifically for AI reasoning, which operate independently of the CUDA ecosystem [9][86] - The acquisition is viewed as one of Nvidia's largest transactions, aimed at consolidating its position in the competitive AI landscape [9] Group 3: Chip Development Challenges - The article discusses the misconception that manufacturing chips is the most challenging aspect, asserting that software and keeping pace with industry evolution are more difficult [6][50][51] - Many companies struggle to successfully develop their own AI chips, as evidenced by the challenges faced by Google and others in the chip development space [34][36] Group 4: Economic Implications of AI - The article posits that the most valuable asset in the economy is labor, and enhanced computing power and AI can inject additional "labor" into the economic system [7] - Companies are advised to maintain high brand trust levels, as trust has a compounding effect on profitability [7] Group 5: Speed and Efficiency in AI - Speed is highlighted as a critical factor in user engagement and brand loyalty, with faster responses leading to stronger emotional connections with brands [49][46] - The article argues that the perception of acceptable delays in AI responses is fundamentally flawed, as speed significantly impacts user experience [49][42] Group 6: Future of AI and Chip Integration - The future of AI will likely see companies like OpenAI and Anthropic developing their own chips to maintain competitive advantages [52][50] - The article suggests that the integration of chips into AI systems will become increasingly important for maintaining market leadership [33][25] Group 7: Energy and Infrastructure for AI - The demand for energy to support the growing need for computing power in AI is immense, with renewable energy sources being a viable solution [119][120] - The article discusses the potential for countries like Norway to provide substantial energy resources for AI infrastructure, emphasizing the need for strategic partnerships [126][138]