Artificial intelligence is cutting across everything from chips and cloud to everyday software, even as central banks weigh inflation, bond markets react to shifting rate expectations, and growth trends look uneven across major economies. That mix of cost pressures, productivity needs, and cautious corporate budgets is pushing many investors to look for AI stocks with clearer links to real products such as semiconductors, large language models, and AI infrastructure. This AI Stocks screener focuses precisely on those companies, and below you will see three stocks from the list that stand out as potential candidates for deeper research.

Adobe (ADBE)

Overview: Adobe is a global software company that powers creative work and digital documents through tools like Photoshop, Acrobat, and a broad cloud platform that helps everyone from individual creators to large enterprises design, manage, and analyze content across web, video, and customer experiences.

Market Cap: US$82.5b

Adobe is worth a closer look if you want AI exposure tied directly to real products and cash flow. The company sits at the center of professional creative workflows, is pushing AI features like Firefly into tools enterprises already rely on, and is generating AI-first ARR above US$500m while still running net margins near 29%. At the same time, the stock has lagged the wider US market, management is going through a CFO and CEO transition, and insider selling plus a freemium pivot raise fair questions about how quickly AI usage turns into higher subscription revenue. For investors willing to weigh strong profitability and high forecast ROE against leadership and funding risks, Adobe offers a complex but potentially rewarding AI story that deserves deeper research.

Adobe’s AI-first ARR, rich creative data and near 29% net margins could be masking where the real upside and pressure points sit, so it is worth reading the 4 key rewards and 1 important warning sign

Alphabet (GOOGL)

Overview: Alphabet is the parent company of Google, running global platforms like Search, YouTube, Android, Chrome and Google Cloud, and earning most of its money by selling digital ads and cloud services that power everything from everyday searches to large enterprise AI workloads.

Operations: Alphabet generates the bulk of its US$355.1b in business segment revenue from Google Services, with Google Cloud contributing US$66.5b, Other Bets US$1.5b, and a small unallocated hedging loss of US$567m.

Market Cap: US$4,380.8b

Alphabet provides a combination of a large, profitable ad business and an AI infrastructure buildout that is already tied to real demand, from Gemini models to Google Cloud’s AI backlog. Net margins near 37.9%, ROE around 33.5% and an equity raise backed by Berkshire Hathaway highlight both earnings power and support for its AI data center investments, even though the recent US$84.75b issuance means dilution is part of the story. At the same time, use of external borrowing, regulatory scrutiny in the US and Europe, and a high share of non cash earnings keep the risk side significant, which makes understanding where the quality of Alphabet’s earnings lies important for long term investors.

Alphabet’s huge ad engine and AI buildout may be masking where the real quality of its earnings sits. It is worth reading the 2 key rewards and 1 important major warning sign to see what many investors might be missing.

Wolfspeed (WOLF)

Overview: Wolfspeed is a US semiconductor company that makes silicon carbide and gallium nitride materials and power devices used in electric vehicles, AI data centers, industrial equipment and energy infrastructure. These aim to deliver higher efficiency at high voltages than traditional silicon chips.

Operations: Wolfspeed generates US$712.5m in revenue, with sales spread across the United States (US$201.9m), Europe (US$117.9m), Asia Pacific markets including China and Hong Kong (together over US$300m) and other regions.

Market Cap: US$2.1b

Wolfspeed sits at the intersection of two notable themes: electrification and rising AI power needs. The stock still carries the profile of a turnaround story rather than a finished product. The company is pushing fifth generation silicon carbide devices, opening a Bay Area office to target AI data center customers, and lining up aerospace and industrial partners. At the same time, it is working to move more production to larger wafers that can lower unit costs over time. In contrast, Wolfspeed is unprofitable, has negative gross margins, a meaningful debt load and management turnover, and relies on external borrowing rather than customer deposits. For investors, the key question is whether the AI and high voltage pipeline can outrun these funding and execution risks.

Wolfspeed’s push into AI power chips and higher efficiency devices could be more than a turnaround story. The real tension sits in how its funding and execution stack up against the 2 warning signs (1 is major!)

The three AI stocks covered here are just a starting point. The full Artificial Intelligence/ AI Stocks screener surfaces 634 more companies tied to chips, cloud, large language models and real world AI products with equally compelling stories. Use Simply Wall St to identify, analyze and filter these stocks by the specific catalysts and narratives you care about so you can focus on the highest conviction ideas in the AI theme.

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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.