What is AI infrastructure and why does it matter for investors?

AI infrastructure refers to the physical hardware and systems needed to power artificial intelligence - things like advanced semiconductors, high-speed fiber-optic cables, cooling systems, and specialised servers. It matters because the AI revolution requires massive investment in this foundational layer, creating opportunities for the companies that supply these critical components.

What does Meta's £6 billion deal with Corning tell us about the market?

Meta's commitment to spend up to £6 billion on Corning's fiber-optic technology signals that tech giants are making massive, long-term investments in AI infrastructure. This validates that we're at the beginning of a multi-year capital expenditure cycle, not just a short-term trend.

What are GPUs and why are they important for AI?

GPUs (Graphics Processing Units) are specialised computer chips originally designed for rendering graphics, but they're perfect for AI because they can perform many calculations simultaneously. Companies like NVIDIA dominate this market because their GPUs are the core processing units that power most AI training and inference workloads.

What does 'potential profit %' mean on stock cards?

Potential profit % shows how much analysts think a stock might gain over the next 12 months, based on their price targets. It's calculated by comparing the current stock price to the average analyst price target. Remember, this is just a projection - actual results may vary significantly.

Are AI infrastructure stocks risky investments?

Like all investments, AI infrastructure stocks carry risks including market volatility, competition, and changing technology trends. However, the theme benefits from the structural shift toward AI adoption across industries. It's important to diversify your investments and only invest what you can afford to lose.

16 handpicked stocks

AI Data Center Stocks (Meta Corning Deal Impact)

Meta is investing up to $6 billion in Corning's fiber-optic technology, securing a critical component for its AI data center expansion. This landmark deal signals a broader, multi-year investment cycle in AI infrastructure, creating opportunities for companies that provide the essential hardware for this technological build-out.

Han Tan | Market Analyst

Published on January 28

Top Picks from This Group

Here are a few of the assets in this group. Create an account to unlock the full list.

NVIDIA Corporation

NVDA

Current price

$183.22

NVIDIA is the dominant provider of GPUs, the core processing units that power most AI training and inference workloads in data centres worldwide.

Meta Platforms Inc (Facebook)

Your Basket's Financial Footprint

This basket's total market capitalisation is $12.00T and is dominated by large-cap stocks that anchor its weight. That concentration tends to lower volatility, giving the basket a profile closer to broad-market exposure than a small-cap growth sleeve.

Key Takeaways for Investors:

Large-cap dominance generally implies lower volatility and closer tracking to broad market moves, reducing idiosyncratic risk.
Use as a core portfolio holding for broad exposure rather than a speculative, high-growth sleeve.
Expect steady long-term appreciation rather than explosive short-term gains; growth is likely to be gradual.

Total Market Cap

NVDA: $4.58T
META: $1.70T
TSM: $1.47T
Other

12 Month Growth Potential

Use the growth calculator to see how much investing in these assets could return over one year, based on aggregated analyst sentiment provided by Refinitiv Ltd.

If you invested across these assets:

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In 12 months it might be worth:

$1,000.00

+10.25%

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About This Group of Stocks

Our Expert Thinking

The AI revolution isn't just about software - it requires massive physical infrastructure. Meta's £6 billion commitment to Corning's fiber-optic technology signals the start of a multi-year capital investment cycle. This creates opportunities for companies that build the essential hardware powering AI data centres worldwide.

What You Need to Know

This group focuses on the hardware layer of AI - from advanced semiconductors to networking equipment and cooling systems. These companies supply the critical components that hyperscalers like Meta need to build supercomputer clusters. It's a cyclical investment theme tied to the industry-wide infrastructure upgrade.

Why These Stocks

Each company has been handpicked by professional analysts for their role in the AI infrastructure value chain. From NVIDIA's dominant GPUs to Corning's fiber-optic cables, these stocks represent key suppliers positioned to benefit from the durable, multi-year AI build-out cycle happening across the tech industry.

Group Performance Snapshot

10.25%

Average 12 Month Profit

On average, analysts expect assets in this group to grow 10.25% over the next year.

14 of 16

Stocks Rated Buy by Analysts

14 of 16 assets in this group are rated Buy by professional analysts.

Source: Analyst sentiment is provided by Refinitiv Ltd, a global leader in financial market data with over 40k business clients. Refinitiv Ltd is an independent third party to Nemo. This is not advice.

Why You'll Want to Watch These Stocks

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Multi-Year Investment Cycle

The AI infrastructure build-out isn't a one-time event - it's a durable, multi-year capital expenditure cycle that's just getting started.

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Critical Bottleneck Solutions

These companies solve the physical infrastructure bottlenecks that every tech giant must overcome to build AI supercomputing clusters.

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Landmark Deal Validation

Meta's £6 billion commitment to Corning validates the massive scale of investment flowing into AI infrastructure hardware right now.

Get the full story on this Basket. Read our detailed article on its risks and potential.

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