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英伟达之外:6只受益于AI基础设施建设的股票Beyond Nvidia: 6 stocks winning the AI infrastructure buildout

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Investing.com — 英伟达(纳斯达克:NVDA)股价周一盘前下跌,此前首席执行官黄仁勋披露了一段婚外情,促使董事会启动独立审查,以确定他是否成为外国情报行动的目标。英伟达强调,专有数据和国家安全从未受到损害,但这项调查正值微妙时刻——距离季度财报发布仅剩数天,而国会立法者正寻求就出口管制合规问题获得正式简报。

Investing.com — Nvidia (NASDAQ:NVDA) shares retreated in premarket trading Monday after chief executive Jensen Huang disclosed an extramarital affair, prompting an independent board review into whether he was targeted by a foreign intelligence operation. While Nvidia emphasized that proprietary data and national security were never compromised, the investigation arrives at a delicate moment—landing just days ahead of quarterly earnings while congressional lawmakers seek formal briefings on export-control compliance.

然而,尽管头条新闻的集中关注使个别超大型市值公司暴露于企业风险之中,实体人工智能基础设施的建设仍在持续扩大。机构资本正稳步绕过对单一供应商硬件的依赖,将资金投入美国本土半导体制造、超大规模云厂商定制芯片、企业系统集成商,以及为吉瓦级数据中心供电所需的电网容量。

Yet while headline concentration exposes individual mega-caps to corporate risk, the physical artificial intelligence infrastructure buildout continues to broaden. Institutional capital is steadily rotating past single-supplier hardware dependencies, funneling funds into domestic semiconductor manufacturing, custom hyperscaler silicon, enterprise system integrators, and the power grid capacity required to energize gigawatt-scale data centers.

发现市场领导地位何时从拥挤的单一个股交易中轮动出去,正是InvestingPro的ProPicks AI模型旨在识别的情形。在Tech Titans和Beat the S&P 500等活跃策略中,这些模型维持对一篮子多元化盈利赋能者的敞口,这些公司正悄然将算力需求转化为已入账收入。

Spotting when market leadership rotates away from crowded single-stock trades is what InvestingPro’s ProPicks AI models are designed to identify. Across active strategies such as Tech Titans and Beat the S&P 500, the models maintain exposure to a diversified basket of profitable enablers quietly turning compute demand into booked revenue.

定制芯片与美国本土半导体韧性 这一转变始于芯片层,云超大规模厂商和工业供应商正在与单一厂商的图形处理器脱钩。

Custom silicon and domestic semiconductor resilience The transition begins at the chip layer, where cloud hyperscalers and industrial suppliers are decoupling from single-vendor graphics processors.

微软(纳斯达克代码:MSFT)自 ProPicks AI 选入以来上涨 38.3%,正从资产负债表的两端切入基础设施周期。在继续采购第三方硬件的同时,微软正大规模部署自研的 Maia 加速器和 Cobalt CPU,以降低云单元成本并减少对外部供应商的依赖。更重要的是,该公司直接通过 Azure 和 Copilot 将人工智能变现——商业化 AI 解决方案的年化收入规模已超过 370 亿美元,企业运营利润率接近 47%——在无硬件供应链风险的情况下产生高利润率的经常性软件现金流。

Microsoft (NASDAQ:MSFT), up 38.3% since selection by ProPicks AI, approaches the infrastructure cycle from both sides of the balance sheet. While continuing to purchase third-party hardware, Microsoft is aggressively deploying proprietary in-house Maia accelerators and Cobalt CPUs to reduce cloud unit costs and curb external supplier reliance. More importantly, the company monetizes artificial intelligence directly across Azure and Copilot—where commercial AI solutions exceed a $37 billion annualized run-rate alongside corporate operating margins near 47%—generating high-margin recurring software cash flow without hardware supply-chain risk.

与此同时,德州仪器(纳斯达克代码:TXN)自入选以来上涨 32.7%,提供运行物理硬件所需的基础模拟芯片。每一个数据中心机架、工业自动化系统和电动汽车都依赖电源管理和信号链芯片。凭借横跨得克萨斯州和犹他州的内部 300 毫米本土制造,德州仪器完全避开了亚洲晶圆厂的产能瓶颈和海外出口审查。随着其多年本土晶圆厂扩建接近完工,资本支出下降将把大量自由现金流引导回股东股息和股票回购。

Concurrently, Texas Instruments (NASDAQ:TXN), up 32.7% since entry, provides the foundational analog silicon required to operate physical hardware. Every data center rack, industrial automated system, and electric vehicle depends on power-management and signal-chain chips. With internal 300mm domestic manufacturing across Texas and Utah, Texas Instruments operates completely insulated from Asian foundry bottlenecks and overseas export scrutiny. As its multi-year domestic fabrication expansion nears completion, declining capital expenditures will direct substantial free cash flow back toward shareholder dividends and share repurchases.

企业集成与应用工作流 部署先进算力集群需要专业的系统工程,从而为厂商中立的集成商和应用平台创造了持久需求。

Enterprise integration and application workflows Deploying advanced compute clusters requires specialized systems engineering, creating durable demand for vendor-agnostic integrators and application platforms.

Kyndryl Holdings(纽约证交所代码:KD)自入选以来上涨 32.1%,提供将企业遗留数据库迁移至混合云平台所需的关键任务技术架构。该公司从 IBM 分拆而来,估值较半导体同行有显著折价,却在所有主要云服务商处锁定了多年企业现代化协议。

Kyndryl Holdings (NYSE:KD), which has gained 32.1% since selection, provides the mission-critical technical architecture needed to migrate legacy corporate databases onto hybrid cloud platforms. Spun off from IBM, Kyndryl trades at a significant valuation discount to semiconductor peers while securing multi-year enterprise modernization agreements across all major cloud providers.

同样地,自建仓以来上涨32.1%的Insight Enterprises(纳斯达克代码:NSIT)是《财富》500强企业的主要系统集成商和硬件聚合商。由于无论企业客户选择英伟达、AMD还是超大规模厂商的定制芯片,Insight都能提供相应解决方案,因此它在企业IT设备更新中实现了稳定的利润率扩张,且完全不依赖单一供应商。

Similarly, Insight Enterprises (NASDAQ:NSIT), up 32.1% since entry, operates as a primary systems integrator and hardware aggregator for Fortune 500 corporations. Because Insight deploys solutions whether enterprise clients choose Nvidia, AMD, or custom hyperscaler silicon, it captures steady margin expansion across enterprise IT refreshes with zero single-vendor dependency.

在物理基础设施的直接上层,自建仓以来上涨31.1%的Salesforce(纽约证券交易所代码:CRM)通过企业软件将人工智能变现。其Agentforce平台将自主工作流代理直接部署到企业现有的客户服务和销售数据库中,把企业的采用转化为高利润率的订阅现金流,同时无需承担数据中心折旧的负担。

Directly above the physical infrastructure, Salesforce (NYSE:CRM), up 31.1% since entry, monetizes artificial intelligence through enterprise software. Its Agentforce platform deploys autonomous workflow agents directly into existing corporate customer service and sales databases, converting enterprise adoption into high-margin subscription cash flow without bearing the burden of data center depreciation.

电网容量成为算力的最终瓶颈。随着人工智能工作负载规模扩大,主要的运营制约正从芯片供应转向电网电力。现代计算设施需要专用的数兆瓦乃至 increasingly 吉瓦级能源,才能为服务器机架供电。

Power grid capacity as the ultimate computing bottleneck As artificial intelligence workloads scale, the primary operational constraint is shifting from silicon availability to electric grid power. Modern computing facilities require dedicated multi-megawatt—and increasingly gigawatt—energy sources before server racks can be powered on.

11月上涨15.3%的First Solar(纳斯达克代码:FSLR)直接应对这一物理瓶颈。随着云运营商签订长期购电协议,为数据中心提供专用清洁能源,First Solar提供美国本土的公用事业规模光伏发电。作为美国最大的太阳能制造商,其本土供应链完全不受海外关税摩擦和半导体贸易限制的影响。

First Solar (NASDAQ:FSLR), up 15.3% in November, directly addresses this physical bottleneck. As cloud operators enter long-term power purchase agreements to supply data centers with dedicated clean energy, First Solar provides domestic, utility-scale photovoltaic generation. As the largest U.S.-based solar manufacturer, its domestic supply chain operates completely free from overseas tariff friction and semiconductor trade restrictions.

超越超大型股硬件的集中风险。英伟达面临的治理审查,凸显了将更广泛科技敞口寄托于单一高估值硬件设计商的脆弱性。尽管头条新闻的波动会影响个别市场宠儿,但算力建设的真正持久性,取决于一个横跨公用事业电力、本土芯片、系统集成和企业软件的多元化生态系统。

Looking beyond mega-cap hardware concentration Nvidia’s governance scrutiny illustrates the vulnerability of relying on a single high-multiple hardware designer for broader tech exposure. While headline volatility impacts individual market favorites, the real durability of the computing buildout rests on a diversified ecosystem spanning utility power, domestic silicon, systems integration, and enterprise software.

有纪律的资本配置会优先考虑那些能把行业结构性扩张转化为经核实的资产负债表现金流的企业。ProPicks AI的“科技巨头”策略已展现出这种方法的威力:自2023年11月推出以来,该策略回报率达152.06%,跑赢基准标普500指数近78%。

Disciplined capital allocation prioritizes businesses that convert structural industry expansion into verified balance-sheet cash flow. ProPicks AI’s Tech Titans strategy has demonstrated the power of that approach, delivering a 152.06% return since its November 2023 launch to outperform the benchmark S&P 500 by nearly 78%.

对于希望在11月活跃投资组合中寻找高信心标的的投资者,完整使用所有ProPicks AI策略每月仅需9美元。

For investors seeking high-conviction ideas in the active November portfolios, full access to all ProPicks AI strategies costs just $9 a month.

披露:作者不持有文中提及股票的任何头寸。数据与财务指标截至2026年11月9日。你对MSFT的入场点和止损点是什么?

Disclosure: The author holds no position in the stocks mentioned. Data and financial metrics as of November 9, 2026. What's your entry and stop on MSFT?

你的盘前流程要花20分钟、用三个工具。等你做完,MSFT上的机会可能已经消失了。

Your pre-market routine takes 20 minutes and three tools. By the time you're done, the setup on MSFT can be gone.

AI图表分析可在60秒内解读MSFT图表。它会扫描15项指标,只呈现当下真正重要的指标,并交给你一份包含入场点、止损点和盈利目标的交易计划。

AI chart analysis reads the MSFT chart in under 60 seconds. It scans 15 indicators, surfaces only the ones that matter right now, and hands you a trading plan with entry, stop-loss and profit targets.

在这些价位设置自定义提醒,MSFT一触及你就能立刻知道。适用于多个日内时间周期,覆盖94000多种资产。黑五早鸟优惠现已五五折。

Set a custom alert on those levels and you'll know the moment MSFT hits them. Works across multiple intraday timeframes, on 94,000+ assets. Now 55% off for Black Friday early birds.

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