which semiconductor stocks should i consider?

Semiconductor stocks are one of the strongest long-term themes right now, especially because of AI infrastructure, data centers, advanced manufacturing, and high-bandwidth memory demand. But the sector is also expensive and cyclical, so I would focus on companies with durable competitive advantages rather than simply buying “AI hype.”

Here are semiconductor names I would consider researching:

How I’d think about building exposure

More conservative / quality-focused

• NVDA
• TSM
• ASML
• AVGO

These are companies with very strong positions in the AI semiconductor supply chain.

Higher growth, higher volatility

• AMD
• MU
• LRCX

These may offer more upside if their markets expand, but they can swing more.

A diversified approach Instead of picking only individual winners, some investors use semiconductor ETFs such as:

• VanEck Semiconductor ETF
• iShares Semiconductor ETF

My watchlist ranking (not a buy recommendation)

If I were creating a semiconductor research list today, I’d start with:

1. NVIDIA (NVDA) — AI compute leader
2. Broadcom (AVGO) — AI networking + custom silicon
3. TSMC (TSM) — manufacturing monopoly-like position
4. ASML (ASML) — critical semiconductor equipment
5. AMD (AMD) — AI challenger
6. Micron (MU) — AI memory cycle

A few things I would check before buying any of them:

• Forward P/E compared with expected earnings growth
• AI revenue concentration
• Free cash flow growth
• Customer concentration
• Semiconductor cycle timing
• Position size (because this sector can fall sharply during downturns)

If you tell me your time horizon (1–3 years vs 5–10+ years), risk level, and whether you want growth or value, I can narrow this into a smaller shortlist.

The semiconductor sector remains heavily driven by the massive build-out of artificial intelligence infrastructure, data centers, and an upcycle in memory and advanced packaging. When considering which stocks to look at, it helps to break them down by where they sit in the supply chain.

• AI Processors & Systems (The Frontline)
  • NVIDIA Corporation (NVDA) – The dominant leader in AI GPUs and accelerated computing, continuing to capture a massive share of hyperscaler data center spending.
  • Advanced Micro Devices (AMD) – A primary competitor scaling its footprint in AI accelerators (like the MI300 series) and combining CPU/GPU architectures for enterprise and agentic AI workloads.
• Connectivity, Networking & Custom Silicon
  • Broadcom (AVGO) – Essential for high-speed networking chips and custom AI accelerators for major tech giants, also offering a solid dividend yield.
  • Marvell Technology (MRVL) – Riding a major wave in electro-optics and custom silicon tailored for hyperscale data center expansions.
• Manufacturing Equipment & Monopolies (The Backbone)
  • ASML Holding (ASML) – Holds an essential monopoly on extreme ultraviolet (EUV) lithography systems required to print the world's most advanced chips.
  • Applied Materials (AMAT) & Lam Research (LRCX) – Critical equipment makers benefiting directly from the global race to expand fabrication plant (fab) capacity and advanced packaging.
• Memory & Storage
  • Micron Technology (MU) – A top beneficiary of the explosive demand for high-bandwidth memory (HBM) integrated into modern AI servers and edge devices.

Are you looking for high-growth AI plays, value/dividend stability , or exposure to equipment/manufacturing infrastructure ? Let me know your preference so I can tailor the details.

The semiconductor sector remains heavily driven by massive infrastructure spending on artificial intelligence, data centers, and advanced networking, with global sales seeing steep sequential growth.

When looking at top semiconductor options to consider, industry leaders generally fall into a few key categories depending on their market role:

• Nvidia (NASDAQ: NVDA) : The dominant force in AI hardware, providing the advanced GPUs that power heavy inference and training workloads for modern AI infrastructure.
• Broadcom (NASDAQ: AVGO) : A vital "pick and shovel" play in the AI ecosystem. Broadcom excels in networking switches that link high-speed chips together, alongside co-designing custom AI application-specific integrated circuits (ASICs) for major cloud hyperscalers like Alphabet and Meta.
• Taiwan Semiconductor Manufacturing Co. (NYSE: TSM) : The premier global foundry that manufactures cutting-edge chips for major designers like Nvidia, Apple, and AMD. TSMC serves as the backbone of high-end chip production.
• Micron Technology (NASDAQ: MU) : A leader in memory and storage solutions (DRAM and NAND), which are increasingly critical as data centers demand faster, high-capacity memory to support massive AI models.
• Advanced Micro Devices (NASDAQ: AMD) : A primary competitor in high-performance processors and expanding GPU lineups, carving out a significant and growing share of the data center and AI compute market.

Note: This overview is for informational purposes and does not constitute formal financial advice. Semiconductor stocks can experience high volatility based on shifting infrastructure demand cycles.

To help narrow down which options fit your portfolio, let me know:

• Are you looking for aggressive growth, dividends , or diversified exposure (like via an ETF)?
• What is your risk tolerance regarding market volatility?

If you’re looking at semiconductors right now (September 2026), I’d focus on a mix of AI compute, foundries, semiconductor equipment, and memory rather than betting everything on one chip designer. The industry backdrop is unusually strong: Gartner forecasts roughly $1.56T of semiconductor revenue in 2026, with memory accounting for more than half of the total, driven by AI infrastructure.

My semiconductor shortlist

If I had to narrow it to 5

1. NVIDIA — highest-quality AI growth play

NVIDIA remains the obvious direct beneficiary of AI infrastructure spending. I wouldn't buy it simply because "AI is hot," though—the price you pay matters. Compared with some peers, recent reporting has suggested NVIDIA is trading at a more favorable forward valuation than Broadcom despite its stronger momentum.

2. TSMC — my favorite "infrastructure" semiconductor stock

TSMC gives you exposure to the growth of NVIDIA, AMD, Apple, Broadcom and other fabless companies without having to predict which chip designer wins. TrendForce expects TSMC's foundry revenue to grow roughly 32% in 2026, with its advanced-node capacity remaining heavily utilized.

3. Broadcom — excellent AI infrastructure, but watch valuation

Broadcom's custom AI accelerators and networking business is becoming enormous. Its AI semiconductor revenue was up 221% year over year in its latest quarter, and management is forecasting $115B of AI chip sales for fiscal 2027.

The catch: expectations are extremely high, and the stock recently sold off when investors viewed its outlook as insufficiently aggressive.

4. Micron — higher-risk, potentially higher-reward

This is the interesting contrarian addition. AI servers consume enormous quantities of HBM and DRAM, and the memory market is currently supply constrained. Gartner expects memory revenue to surge in 2026 and remain tight into 2027.

Micron is therefore more cyclical than NVIDIA or TSMC, but the earnings leverage can be enormous when memory pricing is favorable. Recent reports indicate analysts expect DRAM/NAND conditions to remain tight.

5. ASML — the semiconductor equipment moat

If you want exposure to the manufacturing side rather than the chips themselves, ASML is exceptional. Its lithography technology is foundational to leading-edge semiconductor production, and the company is working with major chipmakers to make its newest High-NA EUV technology usable for increasingly large AI chips.

How I'd think about the risk

I'd roughly categorize them like this:

• Lower relative risk: TSMC, ASML
• Core AI growth: NVIDIA, Broadcom
• Higher-growth challenger: AMD
• Cyclical/value-ish AI exposure: Micron
• Broader semiconductor infrastructure: Applied Materials
• More diversified/less AI-pure: Qualcomm

One important caveat: semiconductor stocks have already had a huge run, so I wouldn't necessarily put the entire allocation in at once. The current rally is particularly concentrated in memory and AI-related names.

If you tell me (1) how much you're investing, (2) your time horizon—e.g. 1, 5, or 10 years—and (3) whether you're comfortable with a 30–50% drawdown, I can rank these by expected return vs. risk and suggest a specific semiconductor portfolio.

NVIDIA remains the obvious direct beneficiary of AI infrastructure spending. I wouldn't buy it simply because "AI is hot," though—the price you pay matters. Compared with some peers, recent reporting has suggested NVIDIA is trading at a more favorable forward valuation than Broadcom despite its stronger momentum.

2. TSMC — my favorite "infrastructure" semiconductor stock

TSMC gives you exposure to the growth of NVIDIA, AMD, Apple, Broadcom and other fabless companies without having to predict which chip designer wins. TrendForce expects TSMC's foundry revenue to grow roughly 32% in 2026, with its advanced-node capacity remaining heavily utilized.

3. Broadcom — excellent AI infrastructure, but watch valuation

Broadcom's custom AI accelerators and networking business is becoming enormous. Its AI semiconductor revenue was up 221% year over year in its latest quarter, and management is forecasting $115B of AI chip sales for fiscal 2027.

The catch: expectations are extremely high, and the stock recently sold off when investors viewed its outlook as insufficiently aggressive.

4. Micron — higher-risk, potentially higher-reward

This is the interesting contrarian addition. AI servers consume enormous quantities of HBM and DRAM, and the memory market is currently supply constrained. Gartner expects memory revenue to surge in 2026 and remain tight into 2027.

Micron is therefore more cyclical than NVIDIA or TSMC, but the earnings leverage can be enormous when memory pricing is favorable. Recent reports indicate analysts expect DRAM/NAND conditions to remain tight.

5. ASML — the semiconductor equipment moat

If you want exposure to the manufacturing side rather than the chips themselves, ASML is exceptional. Its lithography technology is foundational to leading-edge semiconductor production, and the company is working with major chipmakers to make its newest High-NA EUV technology usable for increasingly large AI chips.

How I'd think about the risk

If you’re looking for semiconductor stocks to consider in 2026, I’d focus less on “which chip is hottest?” and more on where the AI infrastructure spending is flowing. Gartner currently expects semiconductor revenue to reach about $1.6T in 2026, with AI data centers accounting for an increasingly large share of the industry.

My shortlist

The three I'd research first

1. NVIDIA (NVDA) — best overall AI-chip exposure

Nvidia remains the obvious leader in accelerated computing, but importantly, the opportunity isn't just GPUs anymore: networking and the broader AI infrastructure ecosystem matter too. Recent results continue to show exceptionally strong AI demand.

The catch is valuation and expectations: when a company is this dominant, “great company” doesn't necessarily mean “great price.”

2. TSMC (TSM) — my favorite “picks and shovels” choice

TSMC manufactures many of the world's most advanced chips, giving you exposure to Nvidia, AMD, Apple and other chip designers without having to predict which individual designer wins.

That's particularly attractive when industry growth is broadening across AI accelerators, CPUs, networking and memory.

3. Broadcom (AVGO) — interesting alternative to Nvidia

Broadcom is increasingly important in custom AI accelerators and networking. It recently raised its forecast for AI-chip revenue to roughly $115B in fiscal 2027 and $230B in 2028.

I'd consider it a higher-risk alternative to Nvidia because its AI opportunity is more dependent on a handful of enormous customers and custom-chip programs.

More aggressive choices

• Micron (MU): Particularly interesting because AI servers require enormous amounts of high-bandwidth memory. Gartner expects memory to be the largest contributor to semiconductor growth in 2026.
• AMD (AMD): Potentially substantial upside if its AI accelerators take meaningful share from Nvidia, but execution and competitive risk are higher.
• ASML (ASML): A fascinating “toll road” investment—the most advanced chipmakers depend on its lithography technology.
• AMAT: Benefits from the enormous capital spending required to expand semiconductor manufacturing capacity.

If I were building a semiconductor basket

For a moderate-risk, 5+ year semiconductor allocation, I'd be inclined to research something like:

• 25% TSM
• 20% NVDA
• 15% AVGO
• 15% ASML
• 10% AMAT
• 10% MU
• 5% AMD

I wouldn't necessarily buy all of them today. Semiconductor stocks have already had a very large run, and the sector has experienced substantial pullbacks even while the long-term AI thesis remained intact.

One important distinction: if you tell me your investment horizon (e.g. 1, 5, or 10 years), risk tolerance, and roughly how much you want to invest, I can narrow this to 3–5 stocks and compare their current valuation, growth expectations, catalysts, and downside risks rather than just giving you a generic semiconductor list.

TSMC manufactures many of the world's most advanced chips, giving you exposure to Nvidia, AMD, Apple and other chip designers without having to predict which individual designer wins.

That's particularly attractive when industry growth is broadening across AI accelerators, CPUs, networking and memory.

3. Broadcom (AVGO) — interesting alternative to Nvidia

Broadcom is increasingly important in custom AI accelerators and networking. It recently raised its forecast for AI-chip revenue to roughly $115B in fiscal 2027 and $230B in 2028.

I'd consider it a higher-risk alternative to Nvidia because its AI opportunity is more dependent on a handful of enormous customers and custom-chip programs.

More aggressive choices

When considering semiconductor stocks, the market remains heavily influenced by the massive, multi-year build-out of artificial intelligence infrastructure, data centers, and a broader cyclical recovery in memory and equipment.

Depending on your risk tolerance and investment style, top semiconductor companies are generally categorized by their specific market segment:

• NVIDIA Corporation (NVDA) – The dominant market leader in AI graphics processing units (GPUs) and accelerated computing. It remains the primary benchmark for AI infrastructure demand, though valuations can experience short-term volatility.
• Broadcom Inc. (AVGO) – A powerhouse in networking infrastructure and custom AI accelerators (ASICs). Broadcom partners directly with major hyperscalers (like Google and Meta) to co-design custom silicon, making it a massive beneficiary of data center expansion.
• Advanced Micro Devices (AMD) – A primary competitor to Nvidia in high-performance GPUs and CPUs, expanding its footprint through enterprise AI cloud partnerships and its MI300-series hardware.
• Micron Technology (MU) – A leading player capitalizing heavily on the memory chip boom. High-bandwidth memory (HBM) is critical for AI data centers and edge devices, driving strong momentum for memory makers.
• ASML Holding (ASML) – A critical backbone of global chip manufacturing with a practical monopoly on extreme ultraviolet (EUV) lithography systems. It is an essential play on the equipment side of advanced node scaling.
• Applied Materials (AMAT) – A major semiconductor manufacturing equipment provider specializing in materials engineering, benefiting heavily as fabrication plants (fabs) expand capacity.

To help narrow down which choices fit your portfolio, let me know:

• Are you looking for high-growth AI exposure, steady dividend-payers , or cyclical recovery plays?
• What is your preferred risk tolerance and investment horizon?

When considering semiconductor stocks, the market remains heavily propelled by artificial intelligence infrastructure, data center buildouts, and high-bandwidth memory demand. Depending on whether you are looking for pure AI growth, custom networking, or manufacturing equipment, several key names stand out:

• NVIDIA Corporation (NVDA ): Still sitting at the core of the AI revolution, Nvidia remains a primary favorite for many major institutional analysts. Its dominant grasp on AI training/inference accelerators and data center ecosystems continues to drive massive sequential revenue growth.
• Broadcom Inc. (AVGO ): A powerhouse in networking bandwidth and custom AI accelerators (ASICs). Broadcom partners closely with major hyperscalers (like Alphabet and Meta) to co-design custom silicon, making it a stellar "picks and shovels" play on data center infrastructure.
• Micron Technology (MU ): Highly sought-after due to the explosion of high-bandwidth memory (HBM) required by modern AI chips. Micron has reported massive sequential revenue acceleration and strong multi-year supply visibility.
• ASML Holding (ASML ): For a play on the equipment side, ASML holds a functional global monopoly on extreme ultraviolet (EUV) lithography machines, which are indispensable for manufacturing advanced microchips.
• Advanced Micro Devices (AMD ): A primary competitor in high-performance computing, gaining ongoing traction with its expanding AI accelerator lineup and rack-scale system deployments among major tech giants.

To help narrow this down, let me know:

• Are you looking for aggressive growth, dividend income , or lower-volatility blue chips?
• Do you want exposure to chip designers, memory storage , or manufacturing equipment?

Semiconductor stocks can be attractive, but the “best” choices depend heavily on whether you want AI growth, steady compounders, cyclical recovery, or lower-risk exposure. I’d think about the sector in buckets rather than picking only the biggest names. AI infrastructure spending remains the dominant theme, but valuations and cyclicality matter.

Higher-growth AI semiconductor plays

“Picks and shovels” semiconductor companies

Memory and infrastructure plays

More balanced / less AI-hype options

• Texas Instruments Incorporated (TXN) — analog chips, industrial exposure, and a long dividend history.
• Analog Devices, Inc. (ADI) — industrial and signal-processing semiconductors with AI infrastructure exposure.
• Qualcomm Incorporated (QCOM) — mobile leadership plus automotive and edge AI opportunities.

A sample way to think about a semiconductor portfolio

A diversified semiconductor basket might look something like:

• AI leader: NVDA or AMD
• Manufacturing backbone: TSM or ASML
• AI networking/custom silicon: AVGO or MRVL
• Memory cycle: MU
• Steadier semiconductor exposure: TXN or ADI

For a long-term investor, I’d generally be cautious about buying the entire group after a huge AI-driven run; semiconductor stocks can have sharp drawdowns even when the long-term thesis remains intact.

If you tell me your time horizon (1–3 years vs 5–10+ years), risk tolerance, and whether you prefer growth or dividends, I can narrow this to a short list of 3–5 names.

Top semiconductor stocks to consider include market leaders driven by artificial intelligence hardware demand, custom silicon, and essential manufacturing infrastructure like Nvidia (NVDA), Taiwan Semiconductor Manufacturing Co. (TSM), and Broadcom (AVGO).

Top Semiconductor Stocks to Watch

• Nvidia Corp. (NVDA) : Dominates the market for artificial intelligence graphics processing units (GPUs) and accelerated computing infrastructure.
• Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) : Operates as the world's leading pure-play semiconductor foundry, manufacturing advanced chips for major designers.
• Broadcom Inc. (AVGO) : Excels in custom AI accelerators (ASICs) and high-speed networking switches essential for data center clusters.
• Micron Technology Inc. (MU) : Benefits from massive demand for high-bandwidth memory (HBM) required by modern AI workloads.
• Advanced Micro Devices Inc. (AMD) : Competes strongly in high-performance processors, GPUs, and enterprise data center solutions.
• Applied Materials Inc. (AMAT) : Provides critical manufacturing equipment, services, and software for the fabrication of advanced microchips.
• ASML Holding NV (ASML) : Holds a near-monopoly on extreme ultraviolet (EUV) lithography systems required to print the smallest, most advanced semiconductors.

If you'd like to narrow this down, let me know:

• Your primary investment goal (growth, dividends, or risk management)
• Your preferred holding period
• Whether you prefer individual stocks or broad semiconductor ETFs

I can tailor a specific approach to fit your portfolio strategy.

If you're looking at semiconductor stocks in 2026, I'd focus on companies with durable exposure to AI infrastructure rather than simply buying the fastest-growing chip stock.

The backdrop is unusually strong: Omdia expects semiconductor revenue to rise sharply in 2026, with AI-driven HBM/memory demand and advanced packaging remaining supply-constrained into at least 2027.

My semiconductor shortlist

1. NVIDIA — best overall AI semiconductor play

NVIDIA is still my first name to investigate.

Its latest results were extremely strong: $96B quarterly revenue and guidance for $108B the following quarter, while management's longer-term outlook implies exceptionally high growth.

The important thing isn't just GPUs. NVIDIA has built an ecosystem around networking, systems, CUDA/software and increasingly rack-scale infrastructure. Gartner currently identifies NVIDIA as the leader in AI network fabric.

Main concern: expectations are enormous. A great company can still be a mediocre investment if you overpay.

2. TSM — my favorite "picks and shovels" choice

Taiwan Semiconductor Manufacturing Company gives you exposure to the semiconductor industry without having to predict which chip designer wins.

TSMC manufactures chips for NVIDIA, AMD, Apple and many other leading companies. Advanced packaging is also becoming a major AI bottleneck, with TSMC's advanced-packaging capacity reportedly heavily utilized.

Why I like it: you're essentially betting that demand for leading-edge compute continues, regardless of whether NVIDIA, AMD, custom ASICs or another architecture captures the revenue.

Biggest risk: Taiwan/China geopolitics.

3. AVGO — potentially the most interesting alternative to NVIDIA

Broadcom is particularly attractive because of custom AI silicon.

Hyperscalers increasingly want their own AI accelerators, and Gartner identifies Broadcom as the current leader in custom AI silicon.

That gives Broadcom a different AI opportunity from NVIDIA: rather than betting entirely on one dominant GPU platform, you're betting on the growth of customized AI infrastructure.

Broadcom reports next week, so there's also a near-term catalyst—but that means potentially significant earnings volatility.

4. ASML — the semiconductor industry's tollbooth

ASML is one of my favorite long-term semiconductor businesses.

It makes the extremely sophisticated lithography equipment necessary for producing the world's most advanced chips. In other words, NVIDIA and AMD can compete with each other, but both need increasingly advanced manufacturing equipment.

ASML also benefited from the latest NVIDIA-driven semiconductor rally.

The downside is valuation and geopolitical/export-control risk.

5. Micron — higher-risk, potentially higher-reward

Micron Technology is the one I'd consider if you want more aggressive exposure.

AI accelerators require huge quantities of HBM (high-bandwidth memory). Omdia expects memory to represent more than half of semiconductor revenue in 2026, with HBM supply remaining constrained.

The catch: memory is notoriously cyclical. Micron has also already experienced an enormous run, so I'd be much more valuation-sensitive here than with TSMC.

6. AMD — compelling, but I'd rank it below NVDA

Advanced Micro Devices has a very interesting position in data-center CPUs and AI accelerators. Gartner currently identifies AMD as the leader in enterprise AI server CPUs.

The problem is that AMD stock has already risen roughly 120%+ in 2026, meaning a lot of optimism is already embedded in the price.

I'd happily own AMD, but I'd want a better entry price than I'd require for TSMC.

If I were building a semiconductor basket

For a long-term, 5–10 year portfolio, I'd roughly think about it this way:

• 25% NVDA — AI compute leader
• 20% TSM — manufacturing/foundry
• 15% AVGO — custom AI + networking
• 15% ASML — semiconductor equipment
• 10% MU — HBM/memory
• 10% AMD — AI/data-center challenger
• 5% LRCX or AMAT — semiconductor equipment

I wouldn't necessarily buy all of them today. Entry price matters enormously, especially after the AI-driven semiconductor rally.

One interesting current signal: NVIDIA's latest forecast helped revive the entire chip sector, but some names are behaving very differently. For example, Marvell fell sharply after its latest results despite beating estimates, illustrating how high expectations have become for AI-related semiconductor stocks.

If you tell me your investment horizon (e.g. 2, 5, or 10 years) and whether you're comfortable with high volatility, I can narrow this to the 3 semiconductor stocks I'd consider buying at today's prices and compare their valuations/upside.

Its latest results were extremely strong: $96B quarterly revenue and guidance for $108B the following quarter, while management's longer-term outlook implies exceptionally high growth.

The important thing isn't just GPUs. NVIDIA has built an ecosystem around networking, systems, CUDA/software and increasingly rack-scale infrastructure. Gartner currently identifies NVIDIA as the leader in AI network fabric.

Main concern: expectations are enormous. A great company can still be a mediocre investment if you overpay.

2. TSM — my favorite "picks and shovels" choice

Taiwan Semiconductor Manufacturing Company gives you exposure to the semiconductor industry without having to predict which chip designer wins.

TSMC manufactures chips for NVIDIA, AMD, Apple and many other leading companies. Advanced packaging is also becoming a major AI bottleneck, with TSMC's advanced-packaging capacity reportedly heavily utilized.

Why I like it: you're essentially betting that demand for leading-edge compute continues, regardless of whether NVIDIA, AMD, custom ASICs or another architecture captures the revenue.

Biggest risk: Taiwan/China geopolitics.

3. AVGO — potentially the most interesting alternative to NVIDIA

Broadcom is particularly attractive because of custom AI silicon.

Hyperscalers increasingly want their own AI accelerators, and Gartner identifies Broadcom as the current leader in custom AI silicon.

That gives Broadcom a different AI opportunity from NVIDIA: rather than betting entirely on one dominant GPU platform, you're betting on the growth of customized AI infrastructure.

Broadcom reports next week, so there's also a near-term catalyst—but that means potentially significant earnings volatility.

4. ASML — the semiconductor industry's tollbooth

ASML is one of my favorite long-term semiconductor businesses.

It makes the extremely sophisticated lithography equipment necessary for producing the world's most advanced chips. In other words, NVIDIA and AMD can compete with each other, but both need increasingly advanced manufacturing equipment.

ASML also benefited from the latest NVIDIA-driven semiconductor rally.

The downside is valuation and geopolitical/export-control risk.

5. Micron — higher-risk, potentially higher-reward

Micron Technology is the one I'd consider if you want more aggressive exposure.

AI accelerators require huge quantities of HBM (high-bandwidth memory). Omdia expects memory to represent more than half of semiconductor revenue in 2026, with HBM supply remaining constrained.

The catch: memory is notoriously cyclical. Micron has also already experienced an enormous run, so I'd be much more valuation-sensitive here than with TSMC.

6. AMD — compelling, but I'd rank it below NVDA

Advanced Micro Devices has a very interesting position in data-center CPUs and AI accelerators. Gartner currently identifies AMD as the leader in enterprise AI server CPUs.

The problem is that AMD stock has already risen roughly 120%+ in 2026, meaning a lot of optimism is already embedded in the price.