Does Walnut recommend which semiconductor stocks to buy?

No. Walnut is not a registered investment adviser and does not tell you what to buy. It lets you build a thematic basket from semiconductor stocks you choose, set target weights, see how the basket would track against the S&P 500, and place trades you approve yourself at your own broker. Every page here is descriptive and informational, not a recommendation.

Best Semiconductor Stocks

Last updated July 2026

Short answer

There is no single list of best semiconductor stocks, because the right holdings depend on your goals and no one can predict prices. What dominates chip portfolios is a spread across three roles in the supply chain. The chip designers and logic makers sell the processors and accelerators end products run on: NVDA, AMD, AVGO, QCOM, TXN, and MRVL. The foundry and equipment names manufacture the chips and build the machines that make them: TSM, ASML, AMAT, LRCX, and KLAC. And the memory and specialty suppliers cover the most cyclical corners: MU, ADI, and ENTG. A wave of AI data-center spending is the tailwind people cite, but semiconductors are famously cyclical and a lot of growth is already priced into the AI-exposed names. The useful move is to treat a list like this as research and build a diversified portfolio from it, not to buy one name. Walnut, an AI investing app, can compare these names against your existing holdings. This page is descriptive and informational, not investment advice.

Semiconductors sit underneath almost every technology story, from AI data centers to phones, cars, and industrial equipment, which is why the sector draws so much attention and so many top chip stocks to buy lists. Those lists read like predictions, and predictions about individual stock prices are the one thing no one does reliably. So this guide does something more honest. It groups the semiconductor stocks people most widely hold and discuss in 2026 by their role in the supply chain, explains what each one actually does and the risks it carries, links each to a fuller page, and then shows how to turn a list like this into a portfolio instead of a single bet. Nothing here is a recommendation to buy or sell, and Walnut is not an investment adviser.

What makes the semiconductor sector tick, honestly?

Chips are the foundation of modern computing, and the recent surge in attention comes from a real thing: the AI buildout has pushed enormous demand into the parts of the industry that supply data centers. The largest cloud companies have committed hundreds of billions of dollars to build capacity, and much of that money flows down the chip supply chain to designers, foundries, equipment makers, and memory suppliers. That mechanism is genuine.

But honesty cuts both ways, and a demand wave is not a guarantee.

The sector is deeply cyclical. Fabs are expensive and slow to build, so supply cannot flex quickly. Booms lead to overbuilding, and gluts follow. Memory is the clearest boom-and-bust example, but the whole industry rides capacity cycles.
Valuations price in the future. The AI-exposed chip names already trade on years of expected growth, so a disappointing quarter or any sign that spending is slowing can trigger sharp drops.
Concentration and geopolitics are real. Much leading-edge manufacturing sits in Taiwan, a handful of customers drive a large share of demand, and export controls and trade policy can reshape the picture quickly.

None of this is a recommendation. It is the context you need to read the list below as research rather than as a set of hot tips riding an AI headline.

What semiconductor stocks are most widely held in 2026?

Below are the chip names most widely held and discussed in 2026, grouped by the role each one plays in the semiconductor supply chain. For each, the note explains what the business does and why it is commonly held, not whether you should own it. Every name links to its own page with the deeper detail.

Chip designers and logic makers

These are the companies that design the processors, accelerators, and analog and connectivity chips that end up in data centers, phones, cars, and industrial equipment. Most are fabless or hybrid, meaning they design the silicon and outsource much of the manufacturing. They anchor most semiconductor portfolios because their products sit closest to end demand, with the standing caveat that chip demand is cyclical and expectations for the AI-exposed names are high.

Nvidia (NVDA). Nvidia designs the GPUs that train and run most large AI models, and its data-center segment became the single biggest driver of the semiconductor trade. It is the most widely held chip name and the one the whole sector is often benchmarked against, though its valuation prices in years of continued growth.
AMD (AMD). AMD designs data-center and client CPUs and its MI-series AI accelerators, positioning it as the main challenger in several markets Intel and Nvidia lead. It is commonly held as a diversified logic story with exposure to both the CPU and accelerator cycles.
Broadcom (AVGO). Broadcom builds custom chips (ASICs) for hyperscalers and dominates much of the networking silicon that ties data centers together, alongside a large enterprise-software business. It is widely held as a diversified, cash-generative semiconductor name with a pick-and-shovel role in the AI buildout.
Qualcomm (QCOM). Qualcomm designs the mobile processors and modems in a large share of smartphones and licenses its wireless patents, and it is pushing into automotive and PC chips. It is commonly held as the connectivity and mobile-silicon leader, with exposure to the ups and downs of the handset cycle.
Texas Instruments (TXN). Texas Instruments makes analog and embedded-processing chips used across industrial, automotive, and consumer electronics, with a large base of its own manufacturing. It is widely held as a steadier, dividend-paying way to own broad chip demand, though it is still exposed to industrial and auto cycles.
Marvell (MRVL). Marvell supplies custom silicon and optical and networking components for AI data centers and cloud infrastructure. It is held as a smaller, more leveraged play on the interconnect layer of the buildout, which also makes it more volatile.

Foundry and equipment

Someone has to manufacture the chips, and someone has to build the machines that manufacture them. This group is the capital-intensive backbone of the industry: the foundry that fabricates leading-edge silicon and the equipment makers whose tools every advanced fab depends on. These names are held as broad exposure to chip production regardless of which designer wins, with the caveats of high customer concentration and, for the equipment makers, sensitivity to export controls.

Taiwan Semiconductor (TSM). TSMC is the foundry that actually manufactures the leading-edge chips that Nvidia, AMD, Apple, and others design. It is commonly held as the indispensable node in the whole supply chain, with the well-known overhang of Taiwan-related geopolitical risk.
ASML (ASML). ASML is the sole supplier of the extreme ultraviolet (EUV) lithography machines required to make the most advanced chips, giving it a near-monopoly position. It is widely held as the ultimate pick-and-shovel semiconductor name, though it is exposed to export restrictions and the lumpy timing of fab spending.
Applied Materials (AMAT). Applied Materials is the largest supplier of the deposition, etch, and other equipment used to manufacture chips. It is commonly held as broad exposure to fab capital spending across the whole industry, which rises and falls with the capacity cycle.
Lam Research (LRCX). Lam Research specializes in the etch and deposition tools that are especially critical for memory chip production. It is held as equipment exposure tilted toward the memory cycle, which is historically one of the most volatile parts of semis.
KLA (KLAC). KLA makes the process-control and inspection systems that fabs use to find defects and keep manufacturing yields high. It is commonly held as a differentiated equipment name with a strong position in inspection, still tied to the same fab-spending cycle.

Memory and specialty suppliers

The last group covers the memory makers and the specialty materials and components suppliers that the rest of the chain relies on. Memory in particular is the most boom-and-bust corner of semiconductors, so these names can swing hard in both directions. They are held as targeted exposure to specific parts of the cycle rather than broad, steady positions.

Micron (MU). Micron makes the DRAM and NAND memory in everything from phones to servers, including the high-bandwidth memory (HBM) that AI accelerators depend on. It is commonly held as the memory-cycle expression of chip demand, with the caveat that memory is historically the most boom-and-bust part of semis.
Analog Devices (ADI). Analog Devices designs high-performance analog and mixed-signal chips used across industrial, automotive, communications, and healthcare markets. It is widely held alongside Texas Instruments as a diversified, dividend-paying analog name, still exposed to industrial and auto demand swings.
Entegris (ENTG). Entegris supplies the specialty materials, filtration, and contamination-control products that fabs use to make chips at advanced nodes. It is held as a materials-side, pick-and-shovel way to own rising chip complexity, tied to the same capital-spending cycle as the equipment makers.

At a glance

The same names, grouped by role, so you can scan the breadth across the list rather than read it as a ranking.

Ticker	Company	What it does
NVDA	Nvidia	Designs the GPUs behind most AI training and inference.
AMD	AMD	Data-center and client CPUs plus AI accelerators.
AVGO	Broadcom	Custom ASICs, networking silicon, and enterprise software.
QCOM	Qualcomm	Mobile processors, modems, and wireless licensing.
TXN	Texas Instruments	Analog and embedded chips across industrial and automotive.
MRVL	Marvell	Custom silicon and networking for data centers.
TSM	Taiwan Semiconductor	The foundry that fabricates most leading-edge chips.
ASML	ASML	The only maker of EUV lithography machines for advanced chips.
AMAT	Applied Materials	Broad chip-manufacturing equipment (deposition, etch, and more).
LRCX	Lam Research	Etch and deposition tools, heavily tied to memory production.
KLAC	KLA	Process-control and inspection systems for chip fabs.
MU	Micron	DRAM, NAND, and high-bandwidth memory for AI accelerators.
ADI	Analog Devices	High-performance analog and mixed-signal chips.
ENTG	Entegris	Specialty materials and contamination control for fabs.

How do you build a portfolio from these instead of buying one?

A list of stocks is an input, not a portfolio. The difference between the two is structure: which roles you want exposure to, how much weight each name gets, and the discipline to keep no single position from dominating. The repeatable way to do it looks like this.

Pick a thesis. Decide what view you are expressing. Owning the designers for direct AI demand is a very different portfolio from leaning on the equipment makers for broad fab-spending exposure.
Spread across roles, not just names. Holding Nvidia, AMD, and Broadcom is still one bet on chip designers. Mixing in the foundry, equipment, and memory roles spreads risk so a single part of the cycle does not sink everything.
Set target weights. Assign each name a percentage that sums to 100, so concentration is a choice you made rather than an accident of which stock ran up.
Compare against the S&P 500. Check how the mix would have tracked the benchmark, because a sector tilt should earn its keep versus just holding a broad index (the mega-cap chip names are already a meaningful part of that index).
Place the trades and review. Buy to your targets, then revisit periodically as weights drift or as the demand story shifts.

This is exactly what Walnut is built for. You create a thematic basket from the stocks you choose, set a target weight for each, see how the basket would track against the S&P 500, and place trades you approve yourself at your own broker. Walnut frames each holding against the S&P 500 and shows how the mix is concentrated, so the portfolio is a deliberate structure rather than a pile of separate bets. Walnut does not tell you which stocks to buy.

If you would rather own the sector in one holding instead of picking names, see our guide to the best semiconductor ETFs, or browse the semiconductors theme for a ready-made basket.

How we chose what to feature

To be clear about method, since framing matters on a page like this: this is not a prediction and not a ranking. We did not forecast which chip stocks will rise, score them, or order them by expected return, because no one can do that reliably. We featured names on three descriptive criteria instead.

Widely held. Each is a large, broadly owned company central to the semiconductor sector, appearing across the major chip funds and mainstream portfolios, so the page reflects what people actually hold rather than obscure tips.
Liquid and established. We featured large, liquid, well-covered companies rather than speculative microcaps, so the descriptions lean on durable business facts rather than hype.
Role-representative. Each name illustrates a role in the supply chain (design, foundry and equipment, or memory and specialty) so the list teaches how a chip portfolio is built, not which single stock to chase.

The result is a map of what tends to anchor semiconductor portfolios in 2026 and how to think about it, not a buy list. Treat every name as a starting point for your own research. Company facts, capacity plans, and valuations change; verify current details before you act.

The bottom line on the best semiconductor stocks

The honest answer to “what are the best semiconductor stocks” is that there is no single list, because the right holdings depend on your goals and no one can predict prices. What tends to anchor chip portfolios is a spread across three roles: the designers and logic makers like Nvidia, AMD, Broadcom, Qualcomm, Texas Instruments, and Marvell; the foundry and equipment names like TSMC, ASML, Applied Materials, Lam Research, and KLA; and the memory and specialty suppliers like Micron, Analog Devices, and Entegris. A wave of AI data-center spending is the tailwind people cite, but semiconductors are famously cyclical, a lot of growth is already priced into the AI-exposed names, and the sector carries real concentration and geopolitical risk. The useful move is to treat a list like this as research and build a diversified, weighted portfolio from it rather than buying a single name. Walnut helps you turn that into a thematic basket you control. It is not an investment adviser, and nothing here is a recommendation.

Try Walnut on top of your broker

Walnut connects any major US broker so you can see how semiconductor names fit your portfolio by chatting through Claude, ChatGPT, or built-in AI. Read-only by default until you choose to trade; Walnut is not an investment adviser and does not tell you what to buy.

Create a free Walnut account

FAQ

What are the best semiconductor stocks to buy in 2026?

There is no single list of best semiconductor stocks, because the right holdings depend on your goals, time horizon, and risk tolerance, and no one can predict prices. What this page shows instead is the chip names most widely held and discussed in 2026, grouped by role: the chip designers and logic makers (NVDA, AMD, AVGO, QCOM, TXN, MRVL), the foundry and equipment names (TSM, ASML, AMAT, LRCX, KLAC), and the memory and specialty suppliers (MU, ADI, ENTG). Treat them as a research starting point, not recommendations. Walnut is not an investment adviser.

Why are semiconductor stocks so cyclical?

Chips are made in expensive fabs that take years to build, so supply cannot adjust quickly to demand. When demand runs hot, prices and profits rise and companies add capacity, and by the time that capacity arrives demand can cool, leaving a glut that pushes prices down. Memory is the clearest example of this boom-and-bust pattern. This cyclicality is a core risk of the sector, and it is one reason spreading across roles and time can matter more here than in steadier industries.

What is the difference between fabless chip designers, foundries, and equipment makers?

Fabless designers like Nvidia, AMD, and Qualcomm design chips and outsource manufacturing, so they move with end-product demand. Foundries like TSMC own the fabs and manufacture chips for others, so they capture volume across many designers. Equipment makers like ASML, Applied Materials, and Lam Research sell the machines every fab needs, so they move with capital spending on new capacity. Each role sits at a different point in the supply chain, which is why many portfolios hold some of each.

Is Nvidia the best semiconductor stock?

Nvidia is the most widely held and most talked-about chip stock because its GPUs power most AI training and inference, but most widely held is not the same as best for you. Its valuation prices in years of continued growth, so it carries real expectations risk, and concentrating in one name raises the stakes on that single company and the AI cycle. It is a starting point for research, not a recommendation. Walnut is not an investment adviser.

Should I buy individual semiconductor stocks or a semiconductor ETF?

Both are common, and the choice is yours. A semiconductor ETF spreads a single investment across the designers, foundries, equipment makers, and memory names in one holding, so any one company stumbling matters less. Individual stocks let you tilt toward a specific role or name you have a view on, at the cost of more concentration and more work. Many investors use an ETF as a base and add a few individual names. See our guide to the best semiconductor ETFs for the fund route.

What are the risks of semiconductor stocks?

The biggest risks are cyclicality and valuation: chip demand swings hard, and many AI-exposed names already trade on years of expected growth, so a slowdown or a disappointing quarter can trigger sharp drops. There is heavy customer and geographic concentration, with much leading-edge production in Taiwan, and the sector is exposed to export controls and trade policy. The names also tend to move together, which reduces the diversification of owning several of them. Spreading across roles helps but does not remove these risks.

From here you can dig into any individual stock, browse the best semiconductor ETFs for instant diversification, or explore the semiconductors theme you want exposure to.

Walnut is informational and is not a registered investment adviser. This page describes semiconductor stocks that are widely held and commonly discussed, grouped by role; it is not a prediction, a ranking, or a recommendation to buy, sell, or hold any security. Investing involves risk, including the possible loss of principal, and past performance does not indicate future results. Company facts, capacity plans, and valuations change; verify current details before making any decision. Do your own research or consult a licensed financial professional.