7 AI Infrastructure Stocks With Reasonable Valuations: Building a Long-Term “Picks & Shovels” Basket

7 AI Infrastructure Stocks With “Not-Too-Expensive” Valuations (and How to Build a Smart Basket)

The AI boom is no longer just about who has the best model. The bigger and longer-lasting investment wave is happening in AI infrastructure—the physical and digital backbone that makes AI scaling possible.

And here’s the opportunity many investors miss:

Some AI stocks trade at premium valuations, while several “infrastructure beneficiaries” can still trade at more reasonable forward earnings multiples.

But one important warning first:

A Forward P/E below 20x doesn’t automatically mean a stock is cheap.
Sometimes it’s low because the business is cyclical, in a turnaround, or facing risks the market isn’t pricing lightly.

So instead of buying randomly, Thai investors can treat these names as a structured AI infrastructure basket, then allocate by role and risk.

Why AI Infrastructure Is the “Picks & Shovels” Trade

If the world truly shifts into an AI-first era, spending won’t only flow into software. It will keep flowing into the layers underneath:

  • Chips and manufacturing capacity

  • Memory (HBM, DRAM, NAND)

  • Storage and data pipelines

  • Networking inside data centers

  • Edge devices (phones, IoT, vehicles, factories)

  • Cloud platforms that host and distribute AI workloads

The best part of this theme is that you’re not forced to bet on one model winner.

Instead, you’re investing in companies that can benefit from industry-wide CapEx spending—often a more durable long-term thesis.

How to Read This as a Strategy (Not Just a List of Stocks)

A simple framework is to split these 7 stocks into three layers:

Layer 1: Core Infrastructure (system-critical)

Companies tied directly to long-term infrastructure buildout:

  • TSM, CSCO, NTAP

Layer 2: Cyclical “AI-Leveraged” (high upside, high volatility)

Big swings with cycle timing:

  • MU

Layer 3: Optionality / Platform (sentiment-driven upside)

Valuation can unlock fast—but risk is higher:

  • BABA

Meanwhile, QCOM and NXPI sit in the middle as Edge/Industrial AI plays—benefiting when AI moves beyond the data center and into the real world.

Why Forward P/E < 20x Is Interesting (and What It Doesn’t Tell You)

Forward P/E can look “cheap” for three reasons:

  1. Peak-cycle earnings: the market thinks next year is the top

  2. No rerating catalyst: growth is real, but sentiment isn’t there yet

  3. Company-specific risk: regulation, geopolitics, competition, disruption

Your job isn’t to chase low multiples.
Your job is to identify which “box” each stock belongs to, then size it properly.

The 7 AI Infrastructure Stocks (With Their Role in the Basket)

Forward P/E figures can vary by data provider and change quickly with price and estimates. The citations below are recent reference points.

1) TSM (Taiwan Semiconductor) — The Foundry Backbone AI Can’t Live Without

If you want a high-quality core anchor for AI infrastructure, TSMC is the cleanest answer.

TSMC manufactures advanced chips for the companies leading AI, HPC, and next-gen computing. Its long-term strength comes from scale, technology leadership, and the ability to ramp capacity when the investment cycle accelerates.

Key things to watch:

  • Advanced node utilization

  • Advanced packaging expansion

  • CapEx efficiency across cycles

  • Geopolitical concentration risk

Note: TSM’s forward P/E can sit above 20x depending on market conditions (Yahoo shows around mid-20s recently).

2) MU (Micron) — AI Memory = Big Upside, Big Cycles

Micron is the “turbo button” in this basket.

AI data centers require massive memory bandwidth and storage, and high-bandwidth memory (HBM) is becoming strategically important. But memory remains one of the most cyclical businesses in tech, with profits swinging based on DRAM/NAND pricing and industry supply discipline.

How to approach MU:

  • Think in multi-quarter cycles, not weekly trades

  • Track memory pricing trends + supply control

  • Watch margin mix improvement from AI-linked products

Micron’s forward P/E is often cited in the low-to-mid teens recently.

3) NTAP (NetApp) — The Quiet AI Winner: Storage + Hybrid Cloud Data

In AI, the real hidden cost isn’t just GPUs—it’s data movement, access, and storage efficiency.

NetApp benefits when enterprises modernize data architectures into hybrid cloud environments and need faster, more controlled storage performance.

Why it can work:

  • Enterprise sticky relationships

  • Recurring revenue profile

  • Benefits from a rebound in IT budgets

NetApp has recently been shown with a notably low forward P/E by some datasets.

4) CSCO (Cisco) — “Old Tech” That’s Becoming a Bottleneck Fix

AI data centers don’t just scale compute—they scale network complexity.

Networking becomes a real bottleneck when AI clusters grow, and the industry has started treating networking as a priority again. Cisco’s advantage is its huge installed base, enterprise reach, and ability to bundle networking with security/observability.

What decides the stock:

  • Can Cisco prove sustainable growth again?

  • Can it compete in high-speed data center networking?

Cisco’s forward P/E has been cited around the high teens recently.

5) QCOM (Qualcomm) — Edge AI + Connectivity as AI Moves to Devices

As AI spreads from data centers to smartphones, PCs, IoT, and wearables, edge chips become a new battleground.

Qualcomm benefits from:

  • Strong connectivity moat

  • On-device AI compute trend

  • AI features that increase value per device

Risks to respect:

  • Smartphone cycle volatility

  • Competition and customer concentration pressure

Forward P/E for QCOM is often referenced in the low-to-mid teens.

6) NXPI (NXP Semiconductors) — Industrial & Automotive AI (Slower, but Stronger Legs)

NXP is positioned in automotive + industrial, where AI adoption is slower than the data center—but demand can be stickier once embedded into real-world systems.

Why it helps your basket:

  • Diversifies away from pure data-center AI

  • Auto/industrial cycles are different from cloud cycles

  • “Quality compounder” behavior in strong recoveries

NXPI forward P/E has been shown around the mid-to-high teens recently.

7) BABA (Alibaba) — Cloud + Platform Optionality (Sentiment Matters)

Alibaba belongs in the theme because cloud is infrastructure, and AI workloads need cloud platforms to scale.

But BABA is not a clean “numbers story.” It’s also about:

  • China sentiment

  • regulation/policy risk

  • competitive dynamics inside China

That’s why BABA works best as an optional position—small sizing, high rerating potential.

Forward P/E varies by source, but some show it in the high teens recently.

A Practical Portfolio Framework (Core + Satellite) for Thai Investors

Here’s a simple way to structure the basket:

Core (steady, system-critical)

  • TSM as the main anchor

  • Add CSCO or NTAP for network + data exposure

Satellite (cycle amplifier)

  • MU when you believe the memory cycle is turning up

Edge/Industrial Diversifier

  • QCOM or NXPI to bet on AI spreading into devices, cars, and factories

Optionality (small size, high upside rerating)

  • BABA only if you can tolerate China risk + volatility

Entry Strategy and Risk Control That Fits Real Investor Behavior

This group is usually better for gradual accumulation than all-in buying, because:

  • Cyclicals can draw down hard

  • Tech news creates short-term overreactions

  • Macro swings can hit multiples quickly

A useful discipline is:

  • Core names → accumulate on pullbacks consistently

  • Cyclical names (MU) → increase weight only when industry data confirms the cycle is improving

  • Optionality (BABA) → cap the size so country risk can’t dominate your portfolio

Basket investing reduces single-stock risk—but be careful not to overweight the same theme so much that your entire portfolio becomes “Tech-only.”

Key Takeaways (What to Remember)

  • AI Infrastructure is the “rent collectors” theme of the AI era: chips, manufacturing, networks, storage, data, and cloud

  • Forward P/E < 20x is a filter—not a buy signal

  • Best Core anchor: TSM (then CSCO / NTAP for balance)

  • Best cycle amplifier: MU

  • Best AI expansion plays: QCOM and NXPI

  • Best optionality play: BABA (size carefully)

If you allocate by category—not randomly—you can gain long-term AI exposure without chasing the most expensive names in the market.

Disclaimer

This article is for educational purposes only and does not constitute financial advice. Investing involves risk, and investors should make their own decisions.

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