# What Are AI Stocks? > A curated AI supply chain — chips, foundries, clouds, and software — ranked by market cap, not a sector or an index. Source: MarketCapLens — https://www.marketcaplens.com/learn/what-are-ai-stocks Updated: 2026-09-15 **AI stocks**, on this site, are not “every company that mentions AI.” They are a curated list of U.S.-listed companies across the *AI supply chain*: the chips and foundries that make the hardware, the clouds that train and serve models, and software firms whose core product is AI. MarketCapLens ranks them by [market capitalization](https://www.marketcaplens.com/learn/what-is-market-capitalization). The live table, charts, and current combined size are on the [AI stocks](https://www.marketcaplens.com/ai-stocks) page. That is a different job from a [sector](https://www.marketcaplens.com/learn/what-is-a-sector). [Technology](https://www.marketcaplens.com/sectors/technology) is an industry label that also includes consumer gadgets, IT services, and plenty of businesses with little AI exposure. The AI list is smaller, editorial, and allowed to overlap other Featured lists. **Key takeaways** - The AI list is a research comparison along the supply chain, not a GICS sector and not an index. - Chips, foundries, clouds, and AI software can all appear; a company is included for its *role*, not because the word “AI” is in a filing. - Several Magnificent 7 names also sit here. Do not add the two combined totals. - Newer listings (including some “neocloud” names) may have a shorter return history than the mega-caps. - Combined market cap is size, not an “AI sector return.” ## Why a supply-chain list exists AI is not one industry. [Nvidia](https://www.marketcaplens.com/company/NVDA) designs the accelerators. [TSMC](https://www.marketcaplens.com/company/TSM) (listed here as an ADR) fabricates leading-edge chips. [Microsoft](https://www.marketcaplens.com/company/MSFT), [Amazon](https://www.marketcaplens.com/company/AMZN), and [Alphabet](https://www.marketcaplens.com/company/GOOGL) sell the cloud that trains and runs models. [Meta](https://www.marketcaplens.com/company/META) builds open models. [Broadcom](https://www.marketcaplens.com/company/AVGO), [AMD](https://www.marketcaplens.com/company/AMD), [Arm](https://www.marketcaplens.com/company/ARM), and [Marvell](https://www.marketcaplens.com/company/MRVL) sit in silicon and interconnect. [Oracle](https://www.marketcaplens.com/company/ORCL) and [Palantir](https://www.marketcaplens.com/company/PLTR) are more software than fab. A Technology sector ranking would mix those names with companies that barely touch this stack. An AI *theme* that only listed chat-app startups would miss the hardware bottleneck. The MarketCapLens list tries to show the large U.S.-listed pieces of the chain on one page so you can see how concentrated the winners have become — chips next to clouds next to software — without pretending they are one sector. Membership is curated. It is not “the N largest tech stocks,” and it is not automatically every semiconductor. [Micron](https://www.marketcaplens.com/company/MU) is a memory company; it belongs on the [Memory](https://www.marketcaplens.com/memory-stocks) list (see [What are memory and chip stocks?](https://www.marketcaplens.com/learn/what-are-memory-and-chip-stocks)), not on AI unless we independently decide the AI list should include it. Today it does not. That kind of line-drawing is the point of an editorial list: you can disagree with the cut, and you can still see the rule. ## How the ranking works On [AI stocks](https://www.marketcaplens.com/ai-stocks), names are ordered by market cap in U.S. dollars, using the same snapshot as the rest of the site. **% of group** is each company's share of *this list's* combined cap. **Share of tracked market cap** is this list versus every company MarketCapLens ranks. Because the AI list overlaps the [Magnificent 7](https://www.marketcaplens.com/magnificent-7-stocks), that “share of tracked” is *not* a piece of a pie you can stack with Mag7's share. Alphabet may appear as GOOGL or GOOG; share classes are [combined](https://www.marketcaplens.com/learn/dual-class-shares-and-market-cap) so the company is counted once. TSMC and Arm are U.S.-listed (ADRs / foreign issuers) and still have to clear the same exchange and size tests as everyone else — see [how the ranking works](https://www.marketcaplens.com/learn/how-the-ranking-works). Returns on the hub are share-price changes, not an AI index. Newer listings do not get a fake five-year history. The page flags names that listed recently so a blank return is not mistaken for a 0% return. ## Overlap with the Magnificent 7 Nvidia, Microsoft, Alphabet, Amazon, and Meta are usually on both lists. Apple and Tesla usually are not. The [Magnificent 7](https://www.marketcaplens.com/magnificent-7-stocks) question is: how do *these seven mega-caps* compare with each other? The AI question is: how does the *supply chain* look by size? Shared companies are a feature of Featured lists, documented on [Featured](https://www.marketcaplens.com/featured). Adding combined caps double-counts them. Read [What are the Magnificent 7 stocks?](https://www.marketcaplens.com/learn/what-are-the-magnificent-7-stocks) for the fixed seven-name list. ## Neocloud and infrastructure names The AI hub also has a smaller section for specialized GPU clouds and related infrastructure — names such as CoreWeave — that rent capacity or build data-center power rather than selling a mega-cap platform. They are shown separately because they are younger, smaller, and more volatile than the flagship list. Multi-year returns may be missing. They are still not a recommendation; they are a second table so the main ranking stays focused on the established chain. ## Advantages and disadvantages These are traits of the *AI supply-chain set*, not a buy or sell list. ### Advantages **It maps the stack, not a slogan.** Accelerators, foundry, cloud, and software are different businesses. Putting them on one [ranking](https://www.marketcaplens.com/ai-stocks) shows where the market is assigning value in the chain — chips versus clouds versus applications — without pretending they are one sector. **Demand has a real bottleneck.** Training and running large models needs GPUs, high-bandwidth memory, power, and data-center capacity. Companies that sell those pieces can grow with AI spending even if they never ship a chatbot. **Hardware and software economics both show up.** A foundry and an ads-and-cloud giant do not share the same margins or cycle. The list lets you see that mix instead of flattening AI into a single “tech” bet. **The rule is visible.** You can disagree with who is in or out. You can still see why [Micron](https://www.marketcaplens.com/company/MU) sits on [Memory](https://www.marketcaplens.com/memory-stocks) and Nvidia sits here. ### Disadvantages **Concentration is the main risk.** A handful of mega-caps — several of them also in the [Magnificent 7](https://www.marketcaplens.com/magnificent-7-stocks) — can be most of the combined total. This is not a diversified “AI basket” in the way a 50-stock sector fund is. **The spend can reverse.** Cloud and chip customers can slow capital spending. When they do, accelerators, foundries, and GPU landlords often weaken together. That is a cycle wearing an AI label. **The story can outrun the financials.** AI attracts rich valuations and fast narratives. A ranking by market cap will look largest exactly where the story is hottest, which is useful — and easy to confuse with “best.” **Younger infrastructure names are a different animal.** Specialized GPU clouds and data-center names can be smaller, more tied to one chip generation, and missing a full five-year history. They do not behave like Microsoft. Mixing them mentally with the flagship list overstates how uniform “AI stocks” are. ## What the AI list is good for - Seeing which parts of the chain (accelerators, foundry, cloud, software) currently dominate by market cap. - Noticing concentration: a handful of names can be most of the combined total. - Comparing five-year cap growth where history exists, without treating the list as a sector ETF. ## What it isn't It is not a complete census of AI, not investment advice, and not “the Technology sector with a new label.” If you want every large software and hardware company regardless of AI, open [Technology](https://www.marketcaplens.com/sectors/technology). If you want DRAM, NAND, and disk drives as a cycle of their own, open [Memory stocks](https://www.marketcaplens.com/memory-stocks). --- *For general education only. Nothing here is investment advice.* ## Frequently asked questions ### What are AI stocks? On MarketCapLens they are a curated list of U.S.-listed companies across the AI supply chain — AI chips and foundries, hyperscale clouds, and software whose core product is AI — ranked by market cap. ### Are AI stocks the same as the Technology sector? No. Technology is an industry classification that includes many companies with little AI exposure. The AI list is a smaller editorial comparison and can overlap with the Magnificent 7. ### Are AI stocks a good investment? That depends on your own goals and risk tolerance. This is a research ranking, not advice. AI leaders can be large, concentrated, and volatile. ### What are the advantages and disadvantages of AI stocks? The list shows the real supply chain — chips, foundry, cloud, software — so you can see where value sits. The trade-offs are concentration in a few mega-caps, capex that can slow, valuations that follow the story, and younger infrastructure names that do not behave like the platforms. Not advice.