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Big tech earnings land with AI winners still in question
ETBrandEquity.com· 2026-01-28 07:25
Core Viewpoint - Investors have recently shifted focus to niche stocks as skepticism grows regarding the returns on investments made by the Magnificent Seven tech giants in artificial intelligence development [1][12]. Group 1: Performance of the Magnificent Seven - The Magnificent Seven tech giants, including Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla, have led the stock market for the past three years, but their performance has declined since the end of 2025 [1][12]. - Alphabet and Amazon are the only stocks among the Magnificent Seven that have seen gains, with Alphabet rising nearly 20% during the recent downturn [2][12]. - The Magnificent Seven index is currently trading at 28 times profits expected over the next 12 months, which is below previous peaks and in line with the average over the past decade [10][13]. Group 2: Investment Shifts and Market Reactions - Traders have increasingly invested in companies benefiting from Big Tech's spending, such as Sandisk, which is up over 130%, Micron Technology, which has risen 76%, and Western Digital, which has gained 67% since the Magnificent Seven index peaked [3][12]. - The upcoming earnings reports from Microsoft, Meta, Tesla, Apple, Alphabet, and Nvidia are expected to provide insights into the health of various tech sectors, with a projected profit growth of 20% for the fourth quarter, the slowest since early 2023 [4][6][12]. Group 3: Capital Expenditures and Growth Expectations - Major tech companies are expected to spend approximately USD 475 billion on capital expenditures in 2026, significantly up from USD 230 billion in 2024, raising investor expectations for returns on these investments [7][12]. - Microsoft’s Azure revenue rose 39% in its fiscal first quarter, with expectations of 36% growth in the second quarter, highlighting the demand for cloud services driven by AI [7][12]. - Companies that fail to meet growth targets may face significant market penalties, as seen with Meta Platforms, which experienced an 11% drop in stock price following a projection of increased capital expenditures without clear profit pathways [8][12]. Group 4: Comparative Earnings Growth - The 493 companies in the S&P 500 not included in the Magnificent Seven are projected to deliver only 8% earnings growth in the fourth quarter, significantly slower than the expected growth from the tech giants [9][12]. - Nvidia shares have increased by 1,184% since the end of 2022, yet are priced at 24 times anticipated profits, slightly above the S&P 500's multiple of 22, indicating that the stocks are not historically expensive [10][13]. Group 5: Market Sentiment and Future Outlook - Investors are awaiting signs of growth from the Magnificent Seven, with the current earnings season viewed as a critical milestone for assessing progress [11][13]. - The sentiment in the market has shifted to a "show-me story," where investors demand tangible results from Big Tech's investments in AI and other technologies [4][12].
微软“Maia 200”强化ASIC崛起叙事 高速铜缆、DCI与光互连站上自研AI芯片风口
智通财经网· 2026-01-28 07:23
智通财经APP获悉,欧洲金融巨头法国巴黎银行(BNP Paribas)周二发布研报称,随着微软(MSFT.US)升 级换代后的第二代自研人工智能芯片(AI芯片)"Maia 200"横空出世,且这款自研AI芯片引爆新一轮AI算 力产业链投资狂潮,聚焦于大型AI数据中心定制化AI芯片(即 AI ASIC芯片)的ASIC领军者们——例如美 国芯片设计巨头迈威尔(MRVL.US)及其最大竞争对手博通公司(AVGO.US)有望最大程度受益这股投资狂 潮的算力领军者。 法巴银行的分析师们在研报中强调微软引领的云计算巨头们自研AI芯片趋势可谓大势所驱,未来ASIC 与英伟达AI GPU算力集群之间的AI算力基础设施市场份额有可能从当前的1:9/2:8大幅抬升至接近对 等。 资深分析师卡尔·阿克曼(Karl Ackerman)领导的法巴银行分析师团队表示,在自研AI芯片趋势触发的新 一轮A算力投资狂潮中,除了上述两大AI ASIC领军者们,其次则是数据中心高速互连(DCI)、高速铜缆 以及数据中心光互连领军者们也有望大幅受益于新一轮AI算力投资狂潮。 从更深层次的角度洞察整个AI算力产业链体系,不难发现AI ASIC、DCI ...
Prediction: This Artificial Intelligence (AI) Stock Will Crush the Market in 2026
The Motley Fool· 2026-01-28 07:19
Microsoft released its in-house chip that will directly compete with Nvidia.Here's an AI stock that'll crush the market in 2026, and no, it's not Nvidia (NVDA +1.15%). Microsoft (MSFT +2.23%) is going to have the best year among the AI leaders. Why is that? Because on Jan. 26, the software company revealed its long-awaited Maia 200 chip.NASDAQ : MSFTMicrosoftToday's Change( 2.23 %) $ 10.51Current Price$ 480.79Key Data PointsMarket Cap$3.6TDay's Range$ 473.13 - $ 482.8552wk Range$ 344.79 - $ 555.45Volume1.3M ...
Starbucks, Tesla And 3 Stocks To Watch Heading Into Wednesday - Starbucks (NASDAQ:SBUX)
Benzinga· 2026-01-28 07:14
With U.S. stock futures trading higher this morning on Wednesday, some of the stocks that may grab investor focus today are as follows:Wall Street expects Microsoft Corp. (NASDAQ:MSFT) to report quarterly earnings at $3.97 per share on revenue of $80.27 billion after the closing bell, according to data from Benzinga Pro. Microsoft shares rose 0.4% to $482.50 in after-hours trading.Packaging Corp Of America (NYSE:PKG) posted weaker-than-expected results for the fourth quarter, after the closing bell on Tuesd ...
微软发布第二代AI芯片Maia 200,AI人工智能ETF(512930)红盘向上
Xin Lang Cai Jing· 2026-01-28 05:25
截至2026年1月28日 13:01,中证人工智能主题指数(930713)上涨0.25%,成分股北京君正上涨7.93%,光 环新网上涨4.95%,同方股份上涨4.40%,神州泰岳上涨4.37%,晶晨股份上涨3.95%。AI人工智能 ETF(512930)上涨0.38%,最新价报2.4元。 AI人工智能ETF紧密跟踪中证人工智能主题指数,中证人工智能主题指数选取50只业务涉及为人工智能 提供基础资源、技术以及应用支持的上市公司证券作为指数样本,以反映人工智能主题上市公司证券的 整体表现。 数据显示,截至2025年12月31日,中证人工智能主题指数(930713)前十大权重股分别为中际旭创、新易 盛、寒武纪、澜起科技、中科曙光、科大讯飞、海康威视、豪威集团、金山办公、浪潮信息,前十大权 重股合计占比58.08%。 AI人工智能ETF(512930),场外联接(平安中证人工智能主题ETF发起式联接A:023384;平安中证人工 智能主题ETF发起式联接C:023385;平安中证人工智能主题ETF发起式联接E:024610)。 风险提示:基金有风险,投资需谨慎。基金管理人承诺以诚实信用、勤勉尽责的原则管理和运用基金资 ...
【提醒:日内请重点关注(以下均为北京时间)】① 时间待定 芬兰总理奥尔波将访华(1月25-28日);② 欧股盘前 阿斯麦控股发布业绩报告;③ 18:00 欧洲央行执委Elderson在关于任命的听证会发表开场白演讲,欧洲央行12月中旬提名其继续担任监管委员会副主席;④ 美股盘前 苹果...





Sou Hu Cai Jing· 2026-01-28 04:46
【提醒:日内请重点关注(以下均为北京时间)】① 时间待定 芬兰总理奥尔波将访华(1月25-28 日); ② 欧股盘前 阿斯麦控股发布业绩报告; ⑦ 23:30 美国能源信息署(EIA)发布政府版原油库存周报; ③ 18:00 欧洲央行执委Elderson在关于任命的听证会发表开场白演讲,欧洲央行12月中旬提名其继续担 任监管委员会副主席; ⑧ 次日02:00 欧洲央行执行理事会成员Isabel Schnabel讲话; ④ 美股盘前 苹果供应商康宁公司(GLW)、星巴克发布业绩报告; ⑤ 21:30 美国12月商品贸易帐; ⑥ 22:45 加拿大央行公布利率决议; ⑨ 次日03:00 美联储发布FOMC利率决议声明(没有"季度性"经济预期概要/SEP); ⑩ 次日03:30 美联储主席鲍威尔举行例行新闻发布会; ⑪ 美股盘后 微软、Meta、特斯拉发布业绩报告,拉姆研究、IBM、ServiceNOW也将发布业绩报告; ⑫ 次日05:30 巴西央行公布利率决议; ⑬ 次日05:45 新西兰12月进出口与贸易帐; ...
科技巨头重磅财报出炉前夕,标普500指数创历史新高
2 1 Shi Ji Jing Ji Bao Dao· 2026-01-28 03:25
南方财经 21世纪经济报道记者吴斌 上海报道 在科技股和芯片股的提振下,标普500指数创下历史新高。 美国东部时间1月27日,标普500指数收涨0.41%,报6978.60点,时隔半个月再创历史新高;纳斯达克综 合指数涨0.91%,报23817.10点;道琼斯指数跌0.83%,报49003.41点。 财报方面,约五分之一的标普500成分股本周公布季度业绩,"七巨头"中有苹果、微软、Meta和特斯 拉。 本轮财报季的一个关键主题在于:企业是否开始真正从AI相关投资中获益?在2025年末,市场一度担 心大规模投向数据中心及其他基础设施的资本支出能否带来回报,这种疑虑一度打压科技股及其他AI 概念股,本周市场将对此高度关注。 科技巨头能否继续走高? 1月27日,"七巨头"中六家上涨,英伟达、苹果涨逾1%,微软、亚马逊涨逾2%,仅特斯拉一家下跌。 Globalt Investments高级投资组合经理Thomas Martin分析称,大家都在关注任何能让外界深入了解人工 智能技术发展趋势的信息,投资者将重点关注各公司的资本支出水平以及与AI商业化相关的信息,除 了资本支出和运营支出总额之外,相关评论也将是关注的焦点。 ...
美光计划斥资240亿美元在新加坡建立内存芯片制造厂;量子计算机“本源悟空”全球访问量突破4000万次丨智能制造日报
创业邦· 2026-01-28 03:21
4. 【中企海外建电池储能工厂热潮再起】当前中国储能出海,在由规模扩张转向价值深耕的关键阶 段,海外建厂热潮再起。埃及公司Kemet与楚能新能源签署了合作协议,双方将共同在埃及建立一座 价值2亿美元的储能电池工厂,年产能为5GWh。阳光电源也宣布与埃及政府签署18亿美元的合作协 议,规划年产能10GWh成为区域产业核心枢纽,预计于2027年4月投产。中创新航已与葡萄牙政府 签署投资协议,双方将推进动力及储能用锂电池制造项目落地。此外,隆基绿能联合精控能源,与美 国NeoVolta共同成立了合资公司NeoVolta Power,并宣布将在美国佐治亚州彭德格拉斯建设电池 储能系统生产基地。 (电池中国 ) 5.【量子计算机"本源悟空"全球访问量突破4000万次】1月27日消息,据安徽省量子计算工程研究中 心最新发布,我国第三代自主超导量子计算机"本源悟空"全球访问量正式突破4000万次,服务网络 覆盖全球163个国家和地区,标志着中国自主量子 算力全球影响力持续提升。截至 目前,"本源悟 空"累计完成超76万个 全球量子计算任务。( 科创板 日报 ) 更多智能制造产业资讯…… 扫码可订阅产业日报 1.【美光计划斥 ...
全球科技:与 3 位首席信息官的对话 - 关于 AI、云、个人电脑及供应商的观点-Global Technology A conversation with 3 CIOs - perspectives on AI, Cloud, PCs, and vendors (conference call transcript)
2026-01-28 03:02
on 27-Jan-2026 27 January 2026 U.S. IT Hardware Global Technology: A conversation with 3 CIOs - perspectives on AI, Cloud, PCs, and vendors (conference call transcript) Mark C. Newman +1 212 845 7822 mark.newman@bernsteinsg.com Peter Weed +1 917 344 8390 peter.weed@bernsteinsg.com Mark L. Moerdler, Ph.D. +1 917 344 8506 mark.moerdler@bernsteinsg.com Firoz Valliji, CFA +1 917 344 8316 firoz.valliji@bernsteinsg.com Luwei Yang +1 917 344 8342 luwei.yang@bernsteinsg.com Shelly Tang, CFA +1 917 344 8342 shelly.t ...
全球人工智能:AI 投资回报率加速企业落地,驱动超大规模企业收益增长-Global Artificial Intelligence The ROI on AI Accelerating Enterprise Adoption Driving Hyperscaler Returns
2026-01-28 03:02
Summary of Key Points from the Conference Call Industry Overview - **Industry**: Global Artificial Intelligence (AI) - **Key Players**: Hyperscalers including Microsoft, Meta Platforms, Alphabet, and Amazon Core Insights 1. **Enterprise AI Adoption**: - Enterprise AI adoption is accelerating, with production use-cases increasing by 3 percentage points to 24% in 4Q25, as per Citi's CIO survey. Testing use-cases remain higher at 36%, indicating significant future adoption potential [2][3] 2. **Return on Investment (ROI)**: - Enterprises are experiencing efficiency gains of 20-30% from AI deployments. A simplified scenario suggests that if annual AI spending is 10% of baseline costs, it could yield a 2-3x ROI over one year [3][4] - High user adoption rates (80%+) and substantial time savings (~67%) further underscore AI's value proposition, driving demand and revenue growth for hyperscalers [3] 3. **Cash-Returns-On-Cash-Invested (CROCI)**: - Despite rising capital expenditures (CapEx), CROCI remains resilient among U.S. hyperscalers. Investments in AI infrastructure are expected to yield long-term returns, similar to past cloud expansion cycles that established AWS, Azure, and Google Cloud as revenue drivers [4][8] - Future investments are anticipated to reaccelerate industry revenue and earnings growth through expanded revenue bases and economies of scale [4] 4. **Market Trends**: - The trend of increasing enterprise AI adoption is expected to continue, as indicated by Citi's 4Q25 CIO survey and Ramp's AI Index, which captures substantial corporate spending on AI solutions [1][2] - Hyperscaler revenues and CapEx are likely to be revised higher due to accelerating enterprise AI adoption and increased usage of large language models (LLMs) [1] Additional Insights 1. **Sector-Specific AI Adoption**: - The Ramp AI Index indicates varying adoption rates across sectors, with technology leading at 75%, followed by finance (62%) and manufacturing (47%) [31] 2. **Management Commentary**: - Recent earnings calls from various companies (e.g., Micron Technology, FedEx, Accenture) highlight the scaling of AI deployments and the integration of AI into business processes, emphasizing the transformative potential of AI across industries [18][20][22] 3. **Investment Outlook**: - Analysts expect upward revisions to current consensus estimates for U.S. hyperscalers as incremental AI capacity comes online, suggesting a positive outlook for revenue growth from 2025 onwards [4][16] 4. **Challenges and Considerations**: - The capital-intensive nature of AI infrastructure development raises concerns, but the long-term growth potential and market leadership opportunities are seen as justifying these investments [4][8] This summary encapsulates the key points discussed in the conference call, focusing on the accelerating adoption of AI, the tangible ROI from AI deployments, and the positive outlook for hyperscalers in the AI sector.