Microsoft Stock Leads 3 AI Infrastructure Picks Retail Investors Are Watching

US non defense capital goods orders recently beat expectations, with commentary pointing to continued business investment demand in AI related sectors. That hints at real money flowing into the infrastructure behind tools like ChatGPT. Investors looking at the AI Stocks screener are effectively fishing where capital is already being deployed. This article walks through 3 stocks from the screener that show how different parts of the AI chain are being built.

The three stocks in focus below are only a small sample, since the full AI screen surfaced 679 more companies with equally detailed stories that are not covered here. If you want to quickly narrow that wider universe to your own highest conviction ideas, head straight into the Artificial Intelligence/ AI Stocks screener.

Overview: Microsoft is a global technology company that provides cloud computing, productivity software like Microsoft 365, developer tools, and devices. It also embeds large language models into products such as Azure OpenAI Service and Microsoft 365 Copilot so customers can run AI workloads at scale. Its business is diversified across cloud infrastructure, office software, gaming, professional networking, and other digital services.

Operations: Microsoft generates most of its revenue from its Productivity and Business Processes segment at about US$140b and Intelligent Cloud at about US$138b, with More Personal Computing contributing about US$54b, and sales split broadly between the United States at about US$171b and other countries at about US$161b.

Market Cap: US$3.68 trillion

Investors watching the AI trend may find Microsoft hard to ignore, because Azure OpenAI Service, Microsoft 365 Copilot and its massive data center build give the company a direct role in supplying the computing power and software that run many LLM workloads. The attraction is a combination of high profitability and strong free cash generation that can fund ongoing AI infrastructure and custom Maia chips. At the same time, enterprise AI adoption, including tens of millions of Copilot seats, helps tie customers more closely to the wider ecosystem. The flip side is heavy AI related capital spending and closer regulatory scrutiny around cloud and Copilot, which could affect returns or business practices over time. For long term investors, that mix of scale, cash generation and real risks is a key reason Microsoft may warrant closer attention.

Microsoft’s AI build out is accelerating, and the real story lies in how its cash generation, cloud mix and AI spending all fit together. Get the full picture in the analysis report for Microsoft

Overview: Oracle is a global software and cloud company that helps enterprises run critical systems on its Oracle Cloud Infrastructure, autonomous database, and large suite of business applications, while also offering AI services such as generative AI, digital assistants, and machine learning tools for deploying large language models at scale.

Operations: Oracle generates most of its revenue from Cloud and software at about US$58.5b, with smaller contributions from Services at about US$5.7b and Hardware at about US$3.1b, and a large share of sales coming from the United States at about US$39.8b alongside other countries at about US$26.5b.

Market Cap: US$417.0b

Oracle provides direct exposure to the AI infrastructure build through OCI and its AI services, while still being anchored by long established database and application businesses. A key feature is that large AI workloads, including LLMs hosted on OCI and AI features embedded into Fusion and NetSuite, sit on top of long contracts and a sizeable reported backlog that stretches several years. The trade off is that this AI push relies on heavy data center capex and higher debt, with some pressure on free cash flow and credit risk as capacity is added. For investors who can live with that trade off, the combination of AI-linked growth potential, broad enterprise relationships, and a diversified software base makes Oracle a stock that some market participants may monitor closely in the AI landscape.

Oracle’s AI, built on top of long contracts and a sizeable reported backlog, is easy to overlook. See how that combination, along with higher capex and debt, fits together in the analysis report for Oracle.

Overview: Alphabet is a global technology company best known for Google Search, YouTube and Android, while also running Google Cloud, which offers AI infrastructure, Vertex AI and the Gemini family of large language models that help enterprises build and scale generative AI applications. These AI cloud services are the clearest link to the ChatGPT and LLM theme, even though most revenue still comes from advertising and consumer services.

Operations: Alphabet generates most of its revenue from Google Services at about US$367.1b, with Google Cloud contributing about US$77.6b and Other Bets about US$1.5b. This is supported by large geographic exposure to the United States at about US$219.0b and EMEA at about US$126.9b.

Market Cap: US$4.22t

Alphabet provides a mix of cash rich Google Search and YouTube with an AI and cloud business built around Google Cloud, Vertex AI, Gemini and in house TPUs. Cloud is tied directly to enterprise AI rollouts, backed by a reported backlog above US$500b and capital spending on data centers and chips that Alphabet is funding through large equity and debt raises in 2026. The trade off is that earnings may soften as AI capital expenditure increases and regulators continue to focus on advertising and competition. For investors who can tolerate that, the combination of profitability, sizeable AI infrastructure exposure and a broad product ecosystem may make Alphabet a stock worth a closer look.

Alphabet’s cash rich ads engine and massive AI build on Google Cloud, Vertex AI and Gemini can easily be misread as a simple growth story. See how the analyst forecasts for Alphabet ties that opportunity to the quieter risks regulators and heavy capex might be hiding.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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