AI Infrastructure Surge: Why Nvidia, Broadcom, and Power Stocks Can Dominate

Dear Investor,

Artificial intelligence has been one of the dominant themes in markets over the past year. Most investors will naturally focus on software and platform companies, but what if the real opportunity is shifting elsewhere?

As we move deeper into 2026, the focus is increasingly turning toward what actually powers AI.

The chart below shows that over the last 15 years, the S&P 500 has produced an average return of +3.56% from 1 April to 30 June, with a win rate of just over 85% and an annualized return of +10.38%.

Seasonax chart showing S&P 500 average seasonal return of +3.56% from April 1 to June 30 over 15 years, with an 85% win rate.
The S&P 500’s Q2 seasonal window shows a steadily rising cumulative return curve, consistent gains over 15 years. Source: Seasonax | View pattern

This is already a strong seasonal period for equities, but this year, there may be an additional layer to the story.

Why It Matters Now: AI Is Becoming Physical

The first phase of the AI boom was driven by software innovation. Now, the next phase is being driven by infrastructure investment.

AI systems are becoming more powerful and more demanding. As a result, the focus is shifting toward:

  •  Semiconductor capacity
  •  Data center expansion
  •  Energy and electricity supply

In simple terms, AI is no longer just a digital story – it is becoming an industrial one.

Seasonality Meets Structural Demand

What makes this idea particularly interesting is how it aligns with seasonality. The April to June period has historically been one of the strongest windows for equities, with consistent positive returns and a steadily rising cumulative profit curve. This creates a supportive backdrop where strong themes – like AI infrastructure – can gain traction more easily.

Trade Ideas: Positioning for the AI Infrastructure Cycle

With the focus shifting toward physical infrastructure, one name continues to sit at the centre of this theme, Nvidia:

Semiconductors – The Core of AI Computing

Nvidia remains the dominant supplier of high-performance AI chips, and demand for GPUs continues to outstrip supply. As major technology firms expand AI capabilities, Nvidia sits directly at the centre of this structural demand.

The chart below shows that over the last 15 years, Nvidia has produced an average return of +25.88% from 22 April to 30 August, with a win rate of 80% and an annualized return of +90.98%.

Seasonax chart displaying Nvidia's average seasonal gain of +25.88% from April 22 to August 30, 80% win rate over 15 years, with a standard deviation above 36%.
Nvidia’s seasonal curve climbs steeply from late April, reflecting an exceptionally strong historical window. Source: Seasonax | View pattern

This is an exceptionally strong seasonal window, but be aware that the standard deviation is also very high, over 36%. So, this means that both wins and losses can be exceptionally volatile. The maximum drop was nearly 38% in 2011, so investors should also realize that losses can be large and not solely focus on the years that Nvidia has made +50% gains.

Broader Infrastructure Exposure

Beyond Nvidia, this theme extends across several key areas of the market:

Semiconductor infrastructure, with Broadcom (AVGO)

The chart below shows that over the last 15 years, Broadcom has produced an average return of +13.67% from 21 April to 15 June, with a win rate of 86.67% and an annualized return of +133.94%. The last three years have seen gains of 39.59%, 49.36%, and 51.68%.

Seasonax chart showing Broadcom average seasonal return of +13.67% from April 21 to June 15 over 15 years, with an 86.67% win rate.
Broadcom’s seasonal curve shows a tight, consistent upward move across the window. Source: Seasonax | View pattern

Utilities and power providers, such as NextEra Energy (NEE)

The chart below shows that over the last 15 years, NextEra Energy has produced an average return of +8.36% from 20 April to 17 August, with a win rate of 86.67% and an annualized return of +27.94%. The standard deviation is the least of the three patterns here indicating less volatile returns, although it is still high at 9.26%.

Seasonax chart showing NextEra Energy average seasonal return of +8.36% from April 20 to August 17 over 15 years, with an 86.67% win rate and a standard deviation of 9.26%.
NextEra’s seasonal curve rises steadily with relatively narrow variance – the most stable of the 3 patterns. Source: Seasonax | View pattern

Data center and infrastructure companies

Benefiting directly from the surge in storage and computer demand, companies involved with the building, provision, and maintenance of data centers stand to see increased use of their services.

Together, these sectors form the backbone of the AI infrastructure buildout.

Trade Risks and Opportunities: A Structural Theme with Strong Seasonality

These seasonal patterns combine strong Q2 equity seasonality, exceptionally strong individual stock patterns (NVDA, AVGO, NEE), and a powerful structural demand story. If the first phase of AI was about software, the next phase may be about what powers it.

Of course, risks still remain. There is increasing valuation sensitivity in AI-linked equities, the threat of emerging policy or regulatory development, and supply constraints in both energy and materials. This is in addition to the high standard deviation/volatility of the highlighted patterns. Furthermore, the impact of the ongoing energy crisis due to uncertainty about access to the Strait of Hormuz may give the Federal Reserve reason to move towards interest rate hikes if the crisis lingers and inflation starts increasing again. The Federal Reserve next meet on April 29th.

However, the strength and consistency of these seasonal patterns, particularly the high win rates across all three assets, suggest that dips within this window may still continue to attract interested buyers.

Use Seasonax for your professional handling of market-moving events!

Don’t just trade it – Seasonax it.

Giles Coghlan, CMT
Macro Strategist Seasonax

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