Skip to content

Sunday, September 20, 2026

Gigantum.net
Artificial intelligence

3 AI Infrastructure Stocks Riding The White House Push Into Data Centers

A new White House “AI tsar,” an AI Force, and a clear pledge to avoid rules that could slow artificial intelligence have pushed this theme from niche talking...

· 407 words

A new White House "AI tsar," an AI Force, and a clear pledge to avoid rules that could slow artificial intelligence have pushed this theme from niche talking point to front-page story for anyone watching US tech. Policy tailwinds can reshape expectations quickly. This piece walks through three stocks from our US AI Hyperscalers & Semiconductor Leaders screener that appear most exposed to this shift and explains what that might mean for your watchlist.

The three stocks below are just a starter pack, since the full screen surfaced 27 more US AI hyperscaler and semiconductor companies with equally compelling narratives that are not covered here. To identify and analyze your own highest conviction angles in this theme, go straight to the US AI Hyperscalers & Semiconductor Leaders screener .

Overview: Rambus designs and licenses high-speed memory chips and security IP that help AI data centers and hyperscalers move and protect data efficiently.

Operations: Rambus generates about US$756 million from semiconductors, with revenue concentrated in South Korea at US$363 million and Singapore at US$138 million, plus contributions from the United States and other regions.

Rambus fits this AI hyperscaler and semiconductor theme because its memory interface chips and silicon IP sit directly in the data paths that large cloud providers are racing to upgrade, which is exactly where the new policy push around AI infrastructure is aimed.

"Ongoing rapid growth in AI and data center workloads is accelerating the industry's need for high-speed memory interfaces and connectivity, driving demand for Rambus's DDR5, HBM4, and PCIe 7.0 solutions. This is a key factor for the company as new design wins and customer qualifications convert into production orders."

For Rambus, what happens to pricing power in those crucial memory and interconnect sockets could be the quiet swing factor for future returns.

That quiet swing factor is exactly what the full narrative for Rambus unpacks, separating hype from the areas where Rambus could actually see pricing power accelerate.

Overview: Micron Technology supplies DRAM and NAND memory that feed GPU clusters, AI data centers, cloud servers, devices, and cars worldwide.

Operations: Micron generates about US$31.3b from Cloud Memory, US$21.2b from Core Data Center, US$27.2b from Mobile and Client, and US$10.5b from Automotive and Embedded segments.

Micron Technology is the pure memory lever in the US AI Hyperscalers & Semiconductor Leaders screener. Every GPU-heavy training rack and inference cluster leans on its DRAM, HBM and SSD capacity when hyperscalers race to add compute.

Gathered from external sources. Rights to this text belong to whoever originally published it.