Small-cap stocks are poised to benefit from a massive surge in artificial intelligence spending by hyperscalers, according to analyst Chris Retzler.
This shift represents a critical transition in the AI trade. While initial gains were concentrated in a few large-cap semiconductor and software giants, the capital is now flowing into the broader ecosystem of smaller companies that provide the necessary infrastructure and support.
Retzler said in a CNBC interview that more than $700 billion [2] in hyperscaler AI spending is currently filtering down to smaller companies. This influx of capital is creating significant growth opportunities for firms within the Russell 2000 small-cap index [1].
The impact of this spending is already visible in market performance. The Russell 2000 has seen a gain of 18% [1] year-to-date. This growth suggests that investors are beginning to price in the indirect benefits of the AI buildout for smaller enterprises.
Energy requirements are a primary driver of this trend. The buildout of AI infrastructure requires massive amounts of power, which creates demand for smaller energy-related stocks and specialized industrial providers [3].
Investment patterns have shifted rapidly over the last 12 months. AI capital expenditure spending estimates for 2026 have doubled from a year ago [3]. As hyperscalers continue to expand their data centers, the secondary and tertiary suppliers, many of which are small-cap stocks, become essential to the supply chain.
Retzler said that these under-the-radar stocks are becoming the next frontier for AI-driven growth. The trend indicates that the AI boom is moving beyond the chipmakers and into the physical and operational layers of the economy [3].
“Over $700 billion in hyperscaler AI spending is filtering down to smaller companies.”
The movement of AI capital from 'hyperscalers'—the massive cloud providers—to small-cap companies signals a maturing market cycle. When the primary architects of a technology reach a certain scale, they must invest in the broader industrial base, including energy and specialized hardware, to sustain growth. This suggests that the AI economic impact is diversifying from pure software and chips into physical infrastructure and energy utilities.
