NVIDIA Corporation (NASDAQ:NVDA) is one of the best Nancy Pelosi Stocks to buy in 2026. On January 30, Reuters reported that NVIDIA Corporation (NASDAQ:NVDA)’s planned $100 billion investment in OpenAI has hit a snag, with internal doubts at the chipmaker leading both companies to reassess the scope of the partnership. NVIDIA Corporation (NVDA) Expanding Influence in the AI Economy The deal, which was first announced in September, was intended to provide OpenAI with access to Nvidia’s advanced chips and ...

Despite the skyrocketing valuations of the Magnificent Seven and anxiety over massive AI capital expenditures, one top economist argues that the U.S. stock market is missing the most critical ingredient of a financial mania: the exit of the “smart money.”Owen Lamont, a portfolio manager at Acadian Asset Management and a former University of Chicago finance professor, said that while the market looks and feels frothy, we are not currently in an AI bubble. As he talked to Fortune from his office in Boston, th ...

最新回应。 针对英伟达与OpenAI的千亿美元大单谈崩的消息，英伟达CEO黄仁勋近日在台湾接受采访时透露，外界称他对OpenAI不满"纯属无稽之谈"。他同时透 露，英伟达会对OpenAI进行一笔巨额投资，"这可能是我们有史以来规模最大的一笔投资"。 否认对OpenAI不满 透露将巨额投资 去年9月22日，英伟达与OpenAI签署意向书，通过建立战略合作伙伴关系，OpenAI将使用英伟达系统构建并部署至少10吉瓦AI数据中心，为OpenAI的新 一代AI基础设施投入数以百万计的GPU。为支持双方的合作，随着每一吉瓦的部署，英伟达计划逐步向OpenAI投资高达1000亿美元。 然而，该项备受关注的战略合作协议，近期却被曝出"几乎停滞"。有消息称，黄仁勋私下坦言，千亿美元合作协议其实是非约束性的，并未最终敲定。更 有爆料称，他还私下批评OpenAI商业打法缺乏纪律、节奏混乱。 对此，黄仁勋近日在台湾接受采访时否认了对OpenAI不满传闻，表示相信OpenAI是这个时代最具影响力的公司之一，还称他很喜欢与OpenAI首席执行官 山姆·奥特曼一起工作。 针对英伟达投资OpenAI，黄仁勋回应称，英伟达会对OpenAI进 ...

昨晚，英伟达 CEO 黄仁勋在台北「砖窑」宴请供应链伙伴，兆元宴 ( 台湾用语，兆相当于万亿 ) 正式开席前，现场就先拍下一 张大合照，镜头里是中国台湾 地区 甚至全球 AI供应链的关键决策者，可说是全台最有钱的一张照片。 除了黄仁勋坐在照片第一排正中央，黄仁勋右手边坐着台积电董事长魏哲家、联发科执行长蔡力行、华硕董事长施崇棠，左手边 则坐着广达董事长林百里、广达副董事长梁次震、纬创董事长林宪铭，鸿海董事长刘扬伟以及和硕董事长童子贤则站在第二排、 黄仁勋正后方。 全台 AI 产业链的核心人物一次框进同一个画面，从芯片、服务器、零组件到系统整合，市场也关注兆元宴可能会带动哪些公司 表现。 根据《 Yahoo股市》盘点20档去年参与兆元宴的上市公司到2026年1月30日，股价上涨最多的为台达电270%，欣兴166%、 宜鼎147%，权王台积电也多达111%，而20档平均上涨约34%。 照片中具体名单如下： 跟黄仁勋同坐第一排的，包括华硕（董事长施崇棠、联发科副董事长蔡力行、台积电董事长魏哲家、广达董事长林百里、副董事 长梁次震、纬创董事长林宪铭，业界戏称是礼让 70 岁或是头发已白德高望重的供应链大老优先入座。 ...

英伟达公司首席执行官黄仁勋澄清了此前宣布的对OpenAI最高1000亿美元投资计划的性质，称这"从来 不是一项承诺"，公司将"逐个评估"每轮融资。 黄仁勋周日在中国台北对记者表示，"这从来不是一项承诺。他们邀请我们投资最高1000亿美元，当然 我们非常高兴和荣幸受到邀请，但我们将一步一步地投资。"这一表态回应了外界对该投资计划执行情 况的质疑。 此前据华尔街日报周五报道，这项9月宣布的投资计划已陷入停滞，英伟达内部一些人对该交易表示怀 疑。报道援引知情人士称，黄仁勋曾私下强调这份1000亿美元协议不具约束力，并批评OpenAI的商业 方式缺乏纪律性。 当被问及该报道似乎暗示他对OpenAI不满意时，黄仁勋周六表示"那是胡说"，并称"我相信OpenAI。他 们所做的工作令人难以置信。他们是我们这个时代最重要的公司之一。"这类循环投资安排持续引发市 场对AI需求真实性的担忧。 投资协议的非约束性质 根据9月签署的意向书，英伟达计划向OpenAI投资最高1000亿美元，用于支持新数据中心和其他人工智 能基础设施。该协议旨在帮助OpenAI建设容量至少10吉瓦的数据中心——相当于纽约市的峰值电力需 求——并配备英伟达 ...

The Vanguard Information Technology ETF gives investors positions in leading tech companies, but it comes with risk.Tech stocks have been soaring in recent years due to opportunities in artificial intelligence (AI), and that has propelled the S&P 500 index to new heights. In three years, the broad index has risen by roughly 73%, which translates into an average annual growth rate of approximately 20% -- far above the index's long-run average of 10%. Future performance is not guaranteed, but investors are ex ...

(Bloomberg) — Nvidia Corp. (NVDA) Chief Executive Officer Jensen Huang said the company’s proposed $100 billion investment in OpenAI (OPAI.PVT) was “never a commitment” and that the company would consider any funding rounds “one at a time.” “It was never a commitment,” Huang told reporters in Taipei on Sunday. “They invited us to invest up to $100 billion and of course, we were, we were very happy and honored that they invited us, but we will invest one step at a time.” Most Read from Bloomberg As part ...

需求恢复不及预期的风险；AIGC 进展不及预期的风险；外部制裁进一步升级的风险。 敬请参阅最后一页特别声明 1 继续看好 AI-PCB 及核心算力硬件、苹果产业链及自主可控受益产业链。Meta 2026 年全年资本开支指引超预 期，闪迪 2026 第三财季业绩指引超预期。我们继续看好覆铜板及存储芯片涨价趋势，具有较强的持续性，从产 业链公司陆续公布的营收及利润来看，业绩在持续兑现，继续看好核心受益公司。继续看好 AI-PCB 及核心算力 硬件、苹果产业链及自主可控受益产业链。 细分行业景气指标：消费电子（稳健向上）、PCB（加速向上）、半导体芯片（稳健向上）、半导体代工/设备/材料 /零部件（稳健向上）、显示（底部企稳）、被动元件（稳健向上）、封测（稳健向上）。 北美大厂 AI 开支超预期，存储业绩持续爆发。Meta 预计 2026 年全年资本支出在 1150 亿至 1350 亿美元之间， 主要用于数据中心、服务器和网络基础设施，较 25 年的约 700 亿美元 CAPEX 实现显著增长。我们看到 AI 对 meta 自身业务实现了积极帮助，AI 改进了推荐算法，直接导致用户在平台上的停留时间增加，新的序列学 ...

Core Viewpoint - The article discusses the potential for three AI stocks to perform exceptionally well in 2026, driven by ongoing demand for AI technologies and specific company advancements. Group 1: Nvidia - Nvidia is predicted to be the safest and potentially the biggest winner among AI stocks due to the rise of agentic AI adoption, which is expected to significantly boost demand for its products [3][4]. - The launch of the Rubin GPU platform, which could reduce inference costs by 10x and require four times fewer GPUs for training, is anticipated to create substantial demand [6][7]. - Nvidia's growth bottleneck is expected to ease as Taiwan Semiconductor Manufacturing Company ramps up its advanced packaging capacity, with Nvidia securing approximately 60% of this capacity [7]. Group 2: Broadcom - Broadcom is identified as the second-best positioned AI chipmaker, benefiting from the trend of hyperscalers seeking to build custom AI chips, holding an estimated 60% market share in the AI server ASIC market [8][10]. - The transition of data centers to million-GPU clusters is expected to drive significant sales growth for Broadcom's networking products, particularly the Tomahawk 6 switches [10]. - Broadcom has a substantial $73 billion AI-related backlog, which is projected to translate into strong revenue and earnings growth in 2026 [11]. Group 3: Meta Platforms - Meta Platforms has shown robust advertising revenue growth, with a 24% year-over-year increase in Q4, driven by improvements in ad ranking models [12][13]. - The company is focusing on the AI smart glasses market, where sales have more than tripled in 2025, positioning itself as a leader in this growing segment [15]. - Although the shift in investment focus towards AI glasses may not yield immediate bottom-line improvements in 2026, it is expected to provide a catalyst for stock performance in the future [16].

Core Viewpoint - Many AI stocks are perceived as expensive, but there are several undervalued options with significant growth potential [1][2]. Group 1: Advanced Micro Devices (AMD) - AMD's forward price-to-earnings ratio is 39.7, and its trailing P/E ratio is 131.6, indicating a high valuation at first glance [3][4]. - The stock's PEG ratio is notably low at 0.5, suggesting it is one of the cheapest AI stocks available [3]. - AMD anticipates revenue from AI data centers to grow at a compound annual growth rate (CAGR) of over 80% in the next three to five years [5]. - The company is gaining market share in server CPUs and is making progress in the GPU market with its Instinct MI350 Series [6]. Group 2: Micron Technology - Micron's PEG ratio is just below 0.7, and shares trade at 12.3 times forward earnings, indicating it is not an expensive commodity [7]. - The company has secured contracts for its entire 2026 high-bandwidth memory (HBM) supply, reflecting strong demand and supply constraints [9]. - Micron expects the total addressable market for HBM to reach $100 billion by 2028, with a CAGR of approximately 40% [9]. Group 3: Nvidia - Nvidia's PEG ratio is 0.7, and it is expected to experience strong growth over the next five years, making its current valuation more justifiable [10]. - The company projects annual AI infrastructure spending to reach $3 trillion to $4 trillion by the end of the decade, driven by emerging technologies [12]. - Nvidia's Blackwell GPUs are currently the most powerful AI chips, with plans to launch even more advanced Rubin GPUs later this year [13].