Quantum computing is the next big thing in tech, but you don't need to invest in any risky start-ups to profit from it.Quantum computing used to be one of those things you only read about in a science fiction novel, along with faster-than-light travel or teleportation. It might be part of everyday talk on the Starship Enterprise, but it's not real, right?Turns out it's very real, and it's one of the fastest-growing industries out there. McKinsey estimates the quantum computing market could grow from about $ ...

谷歌旗下Gemini人工智能模型的性能升级，正持续拉动公司营收增长。 三位熟悉Gemini销售情况的知情人士透露，过去一年间，谷歌Gemini模型的授权业务规模实现爆发式增 长，这一态势也印证了该系列模型的性能正稳步提升。另有一位了解谷歌销售策略的人士表示，由于客 户在人工智能业务上的投入往往会带动其在谷歌其他产品上的支出，Gemini的热销有望进一步提振谷歌 云核心服务器销售业务的营收。 与此同时，这一增长势头还有望推动谷歌另一项尚处起步阶段的业务——基于Gemini模型的软件销售。 该业务近几个月来增速较快，但客户反馈却喜忧参半。 上述增长利好预计将体现在谷歌的四季度财报中，该财报定于2月4日发布。投资者将密切关注，谷歌过 去一年在人工智能赛道激烈竞争中投入的巨额资金是否开始产生回报。谷歌去年秋季曾披露，公司计划 投入910亿至930亿美元用于资本开支，其中就包括支持人工智能业务的相关投入，这一规模几乎是2024 年525亿美元资本开支的两倍。此外，谷歌还在持续为谷歌云及其人工智能研究部门Google DeepMind招 募专业人才。 谷歌通过谷歌云平台，以应用程序编程接口（API）的形式对外授权Gemi ...

（文章来源：第一财经） 据报道，知情人士透露，谷歌Gemini AI模型的业务销售量在过去一年激增。Gemini API调用量已增长 逾一倍，达到850亿次。 ...

Growth stocks continue to power the market.Growth stocks continued to lead the market higher and remain a great place to invest. If you have money on the sidelines you're looking to invest, here are five growth stocks you can invest $1,000 in each to start a nice growth-focused portfolio. 1. NvidiaThe biggest beneficiary of the artificial intelligence (AI) buildout, Nvidia (NVDA 0.29%), continues to have a long runway of growth in front of it.AI data center spending continues to ramp up, and Nvidia's graphi ...

21.33%提升到97.33%！ 一个简单到「令人发指」的提示词技巧，竟能让大模型在不要求展开推理的情况下，将准确率从21.33%提升到97.33%！ 最近，Google Research发现了一条简单粗暴、特别有效的提示词技巧。 它颠覆了以往诸如「思维链」（Chain of Thought）「多样本学习」（Multi-shot）「情绪勒索」等复杂的提示工程和技巧。 https://arxiv.org/pdf/2512.14982 在这篇题为《Prompt Repetition Improves Non-Reasoning LLMs》论文中，研究人员用数据告诉我们： 想要让Gemini、GPT-4o、Claude或者DeepSeek这些主流模型中表现得更好，根本不需要那些花里胡哨的心理战。 你只要把输入问题重复一遍，直接复制粘贴一下，就能让大模型在非推理任务上的准确率获得惊人提升，最高甚至能提升76个百分点！ 别怕简单，它确实有效。 一位网友将这个技巧比作「吼叫LLM」。 更妙的是，由于Transformer架构独特的运作方式，这个看似笨拙的「复读机」技巧，几乎不会影响到生成速度。 所以，你不用在效率、准确率 ...

Alphabet (GOOG) (GOOGL), the parent company of Google, didn’t just come to the spotlight because of artificial intelligence (AI). In fact, Google has been using AI and machine learning long before AI skyrocketed to mainstream prominence. Although AI has boosted Alphabet’s game, the company is built on exceptionally strong fundamentals. It achieved double-digit revenue growth due to its Search dominance, generated significant free cash flow, and maintained operating margins that surpassed most large-cap pee ...

远高于所有职业的平均水平。 至于原因嘛……相信大家已经猜到了。 是的，这波新释放的岗位，几乎完全来自数据中心。 AI时代，电工再次成为香饽饽。 美国劳工统计局估计：2024年至2034年间，美国每年平均将出现约8.1万名电工缺口。 这意味着，未来十年电工就业人数将增长9%。 什么概念？这么说吧，官方的口径是： 电工再成香饽饽 真正的AI人才狙击战是电工之战（doge）。 今年五月，代表美国、加拿大和美国属地电工工会的国际电气工人兄弟会，给会员们发来了一条「喜讯」： 兄弟们！现在有些地方分会，单个数据中心项目要的人数，已经是他们现有规模的两倍、三倍，有时甚至四倍！ 迎来春天的不只有电工。数据中心几乎凭一己之力，拉动了整个蓝领就业市场，包括水管工、建筑工人，以及暖通空调技术人员。 水管工工会United Association的国际代表直言：目前数据中心项目所需要的工人数量，已经超过任何其他单一行业。而且，如果继续沿着现在这种「大 力出奇迹」的AI范式发展下去，用工需求还会继续往上走。 作为释放这些需求的终极甲方，科技巨头们的动作，也从侧面印证了这股热度。 数据显示，2024年科技巨头在能源领域的招聘人数同比增长 ...

Core Insights - The global AI infrastructure investment is entering a new super cycle, driven by technology upgrades and supply shortages in key components, with significant growth expected in the AI network market until 2026 or 2027 [1] Group 1: Market Growth and Projections - The shipment of 800G optical modules is projected to increase from 20 million units in 2025 to 43 million units in 2026, while 1.6T optical module shipments are expected to surge from 2.5 million units to 20 million units [1] - The penetration rate of silicon photonics (SiPh) technology in the 800G/1.6T market is anticipated to reach 50-70% [1] - The optical module market is experiencing structural growth opportunities, with Ethernet optical module market revenue expected to surge by 93% in 2024, followed by 48% and 35% growth in 2025 and 2026, respectively [12] Group 2: Supply Chain Dynamics - Supply chain bottlenecks are expected to strengthen the competitive advantage of leading companies, with advanced optical chip production capacity projected to grow over 80% by 2026, yet still lagging behind demand by 5-15% [2] - Major players like Zhongji Xuchuang and Tianfu Communication are positioned to maintain significant market shares in the 800G/1.6T optical module market, with Zhongji Xuchuang expected to hold 25-30% and 35-40% shares, respectively [12] Group 3: Technological Advancements - The evolution of technology is critical, with AI giants like NVIDIA, Google, Meta, and Amazon AWS actively upgrading their network architectures through various technological paths, including SiPh, Co-Packaged Optics (CPO), and Optical Circuit Switching (OCS) [1] - CPO technology is expected to accelerate commercialization starting in 2026, with penetration rates projected to rise from 3% in 2026 to 20% by 2030, and market size expected to grow from $1.6 billion to $13.1 billion during the same period [14] Group 4: Market Segmentation and Trends - The optical fiber and cable market is showing a bifurcated trend, with strong demand from AI data centers, where AI application optical cable demand is expected to grow by 138% in 2024 and 77% in 2025 [13] - The Ethernet switch market is experiencing robust growth, with a 35.2% year-on-year increase in revenue in Q3 2025, and a significant rise in 800G switch revenue by 91.6% [17]

Investment Rating - The report rates the computer industry as "Outperform the Market" [2] Core Insights - The commercialization of AI is accelerating, with significant developments in intelligent agents and video generation technologies [2][10][12] - Ant Group and Google have launched a Universal Commercial Protocol (UCP) to standardize AI-driven commercial interactions, enhancing seamless collaboration across various systems [10][11] - Kuaishou's Keling AI has achieved a monthly revenue of over $20 million (approximately 140 million RMB) as of December 2025, indicating rapid commercialization in the video generation sector [12][13] - Alibaba's Qianwen App has integrated deeply with its ecosystem, transitioning AI capabilities from simple chat functions to executing complex tasks, marking a new era in AI applications [15][16] - Shanghai's "Mosu Zhixing" initiative aims to scale L4 autonomous driving applications by 2027, establishing a leading position in the global smart connected vehicle industry [19][20] - The U.S. has threatened storage chip manufacturers with a 100% tariff unless they increase domestic production, highlighting the geopolitical dynamics in the semiconductor industry [22][23] Summary by Sections AI Commercialization - Ant Group and Google have introduced UCP, a new open standard for intelligent agents that facilitates seamless commercial interactions across various platforms [10][11] - Kuaishou's Keling AI has seen a significant increase in revenue, reaching an annual run rate of $240 million (approximately 1.68 billion RMB) by December 2025, driven by enhanced product capabilities and computational power [12][13][14] Integration of AI in Ecosystems - Alibaba's Qianwen App has integrated with major services like Taobao and Alipay, enabling it to perform real-world tasks such as ordering food and booking travel, thus evolving into a comprehensive AI assistant [15][16][17] Autonomous Driving Initiatives - Shanghai's "Mosu Zhixing" plan aims for large-scale deployment of L4 autonomous driving technology by 2027, with specific targets for passenger and freight transport [19][20][21] Semiconductor Industry Dynamics - The U.S. Commerce Secretary has warned storage chip manufacturers of potential tariffs, emphasizing the need for increased domestic production and the strategic importance of semiconductor independence [22][23]

Core Viewpoint - The global AI ecosystem is structured as a "five-layer cake," consisting of energy, chips, cloud, AI models, and applications, with various companies leading each layer, presenting investment opportunities across the ecosystem [1]. Layer 1: Energy - Constellation Energy is the largest producer of reliable, clean energy in the US, with nuclear power accounting for approximately two-thirds of its output [2]. - In 3Q2025, operating revenues increased by 0.31% YoY to US$6.6 billion, while adjusted non-GAAP operating earnings rose by 10.7% YoY due to fewer nuclear outage days [2]. - For 9M2025, operating cash flow turned positive at US$3.4 billion, a significant improvement from an outflow of US$1.44 billion the previous year [3]. - The company aims for a long-term growth target of 13% per year in operating earnings through 2030 [4]. Layer 2: Chips - NVIDIA has evolved from a GPU provider for gaming to a leader in AI architecture, now dominating the networking business for generative AI models [5]. - In 3QFY2026, revenue grew by 62.5% YoY to US$57 billion, with net income increasing by over 65% to nearly US$32 billion [6]. - Free cash flow for the same period rose by 31.5% YoY to US$22.1 billion, driven by the demand for NVIDIA's advanced GPU architecture [6]. - The company's CUDA platform supports virtually all current and emerging AI models, establishing a strong competitive moat [7]. Layer 3: Infrastructure - Microsoft’s Azure holds a 20% share of the global cloud market, ranking second after AWS [8]. - In 1QFY2026, Microsoft's revenue and net income increased by 18.4% YoY to US$77.67 billion and 12.5% YoY to US$27.75 billion, respectively [9]. - Operating cash flow surged nearly 32% YoY to US$45.1 billion, driven by cloud strength [9]. - Microsoft integrates AI into its enterprise ecosystem, enhancing demand for Azure and achieving over 100% growth in commercial bookings [10]. Layer 4: AI Models - Alphabet employs a proprietary full-stack approach to AI model development, distinguishing itself from competitors [11]. - In 3Q2025, Alphabet's revenue rose by nearly 16% YoY to US$102.3 billion, with net income increasing almost 33% YoY to US$35 billion [11]. - The company’s vertically integrated AI ecosystem allows for innovation and monetization across multiple layers with high efficiency [11]. Layer 5: Applications - Salesforce leads the CRM technology market with a 20.7% share, reporting an 8.6% revenue increase to US$10.3 billion in 3QFY2026 [12]. - Net earnings and free cash flow surged by 36.6% and 22.3% YoY to US$2.1 billion and US$2.2 billion, respectively [12]. - The deployment of agentic AI through the Agentforce Platform has enabled clients to automate up to 98% of manual activities [13]. - Agentforce accounted for six out of ten deals in the latest quarter, showcasing strong market momentum [14].