Introduction

Artificial intelligence has become the industrial engine of our time, yet the foundation it depends on is dangerously fragile. More than 80% of the world’s advanced memory manufacturing occurs outside U.S. borders, concentrated in regions of growing geopolitical uncertainty. That is not simply a supply chain risk. It is a strategic vulnerability for any nation betting its future on AI.

We have seen this pattern before. Compute power races ahead while memory capacity and locality lag behind. Billions are poured into GPUs and accelerators, yet those systems remain underutilized because they cannot be fed efficiently. If AI is the new electricity, memory is the grid. Today, America does not own the grid.

The Memory Gap

In the 1990s, the United States produced nearly 37% of the world’s semiconductors. Today, that number is closer to 12%. Intel and Micron once held a unique advantage with their joint development of 3D XPoint, a technology that bridged the gap between volatile and persistent memory. It represented a fundamental shift in how data could be accessed, moved, and retained.

Both companies ultimately walked away. Micron sold its Utah fab in 2021. Intel shuttered Optane a year later. What was lost was not just a product, but America’s last foothold in next-generation memory. The lesson is not about failure. It is about foresight. Memory was treated as a component when it should have been treated as a capability.

While others stepped back, NVIDIA leaned forward. Through acquisitions such as Mellanox and Enfabrica, it has quietly positioned itself as the architect of AI infrastructure. The strategy is clear. Compute without balance is waste. Performance without data flow is inefficiency. The true constraint on AI today is not processing speed, but the ability to move, stage, and access memory at scale.

Every stalled workload and underutilized GPU points to the same truth. The system is starving for memory.

From Silicon to Sovereignty

The last decade was defined by who controlled compute. The next will be defined by who controls memory.

If others control the design, production, or distribution of advanced memory, they control the pace and sovereignty of AI itself. You cannot claim leadership in intelligence if you do not control the foundation from which it learns.

For too long, the United States has poured investment into processors, accelerators, and training clusters while outsourcing the very layer that makes them usable. The parallel is familiar. Energy dependence, rare earth minerals, and now digital infrastructure. Each time, capability was mistaken for convenience.

In the age of AI, sovereignty is not measured by borders or bandwidth. It is measured by where your memory lives.

A Blueprint for Renewal

The Great AI Memory Foundry is not a company. It is an initiative. A coordinated effort to rebuild what was lost and accelerate what comes next. It could be supported under the CHIPS Act as a public-private partnership spanning government, academia, and industry, focused explicitly on advanced memory systems.

Companies such as NVIDIA, Intel, Micron, and AMD could collaborate not on products, but on permanence. The Department of Energy and the Department of Defense could partner with private enterprise to secure a scalable domestic supply of advanced memory for AI, high-performance computing, and data-driven industries.

The CHIPS Act was a critical first step toward restoring semiconductor manufacturing. But it stopped short of addressing the most strategic layer. The Foundry completes that effort by focusing on the data and memory systems that give compute its purpose. Compute is inert without memory. Sovereignty is hollow without control of the infrastructure that sustains it.

The Rebirth of Industrial Capability

When steel defined national strength, we built mills. When the space race demanded innovation, we built rockets. When data became the renewable energy of the digital age, we built the cloud. As intelligence becomes the next industrial power, we must build the memory that keeps it alive.

The Great AI Memory Foundry would bring manufacturing, engineering, and research back to American soil. It would ignite an ecosystem of startups, suppliers, and scientific advancement. It would reestablish the United States as the global center of AI infrastructure.

Every year we delay, leadership slips further into the hands of others.

The time to build this foundation is now.