Local AI as National Security Infrastructure.

By 2030, the largest AI training clusters will consume more than 20% of US electricity production. Amazon has already purchased a 1-gigawatt datacenter campus next to a nuclear plant. Zuckerberg has acquired 350,000 H100 GPUs. Microsoft and OpenAI are rumored to be planning a $100 billion cluster — a cost comparable to the International Space Station.

This is not speculation. This is industrial mobilization at a scale unseen since the Manhattan Project. And it is happening now.

Leopold Aschenbrenner, formerly of OpenAI, laid out the timeline in his June 2024 essay Situational Awareness: AGI by 2027, superintelligence by the end of the decade, and a government takeover of AI development — what he calls “The Project” — by 2027 or 2028. The national security state will wake from its slumber. Congress will appropriate trillions. Startups will merge or be absorbed.

The Centralization Trap

The dominant narrative in AI is centralized compute: bigger clusters, more GPUs, more power. The assumption is that intelligence requires scale, and scale requires centralization. This assumption creates a single point of failure — and a single point of control.

Aschenbrenner notes that AI labs currently treat security as an afterthought, “handing AGI secrets to the CCP on a silver platter.” If the labs cannot secure their weights against state-level espionage, what happens when the government itself controls the infrastructure? What happens when access to AI becomes a matter of security clearance?

Centralized AI is surveilled AI. It is licensed AI. It is AI that phones home, that reports usage, that denies service to the wrong user at the wrong time. It is AI that becomes a chokepoint — and chokepoints are always exploited.

The Local Alternative

Local AI runs on the hardware you already own. No server. No account. No telemetry. No cloud component. No API key that can be revoked. No terms of service that can change overnight. No government backdoor that can be inserted by classified directive.

This is not a privacy preference. This is a strategic necessity.

Ohm Studio, our local AI music generation application for macOS, is built on this principle. It runs entirely on Apple Silicon via Apple’s MLX framework. The model weights download once from open-weights repositories. Every generation, every training step, every stem separation happens on your machine. Nothing is collected. Nothing is transmitted. Nothing is logged.

The same principle applies to OhmsGrid, our 8×8 clip-based groovebox. AI-generated clips, stem separation, live performance — all on-device, all offline, all yours.

Why This Matters Now

The window for building local AI infrastructure is the next 2-3 years. After 2027-2028, when the government assumes control of AGI development, the regulatory and procurement landscape will change completely. Export controls will tighten. Chip availability will be restricted. Cloud AI will become a matter of federal licensing.

Those who have already built local AI workflows will be unaffected. Those who depend on centralized services will be at the mercy of whatever access regime emerges.

This is not paranoia. This is the lesson of every previous technology that became a matter of national security: nuclear energy, cryptography, aerospace, semiconductors. Each one moved from open innovation to controlled access. Each one created a class of insiders who had the tools and a class of outsiders who did not.

The Sovereignty Stack

Local AI is one layer of a larger sovereignty stack: self-hosted infrastructure, encrypted communications, privacy-hardened devices, legally structured assets, and intelligence that does not depend on institutional access.

We have been building this stack since 2019. Not because we predicted the AGI timeline, but because we understood that centralization is a vulnerability — in technology, in finance, in governance, in culture. The same principle applies whether the centralized power is a tech monopoly, a data broker, or a national security state.

The question is not whether you trust the current administration, the current CEO, or the current policy. The question is whether you want your access to intelligence to depend on any of them.