Artificial intelligence (AI) is rapidly changing the semiconductor industry, and the next leg of growth could be driven by an enormous increase in infrastructure spending. Four top hyperscalers, Amazon, Alphabet, Microsoft and Meta Platforms, are expected to spend roughly $720 billion to $745 billion on capital expenditures in 2026, with a large portion directed toward AI infrastructure.

This spending is likely to support demand for AI accelerators, high-bandwidth memory (HBM), networking chips, testing equipment and advanced semiconductor manufacturing. As hyperscalers expand data-center capacity, semiconductor companies positioned across different parts of the AI supply chain could enjoy strong and sustained growth.

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