As the explosive growth of electric vehicles moderates, the highly scaled manufacturing capacity and supply chains for power electronics can be repurposed. This existing momentum can be redirected to meet new demand for modernizing the grid, powering data centers, and driving industrial electrification.

While currently straining power grids, AI data centers have the potential to become key stabilizing partners. By coordinating their massive power draw—for example, giving notice before ending a training run—they can help manage grid load and uncertainty, ultimately reducing overall system costs and improving stability in a decentralized energy network.

The energy crisis facing data centers creates an urgent, high-value early market for grid-scale solutions. Solving their need for clean, 24/7 power acts as a catalyst for developing and funding technologies that will eventually serve the entire grid, making them a critical first customer.

The biggest challenge in energy isn't just generating power, but moving it efficiently. While transmission lines move power geographically, batteries "move" it temporally—from times of surplus to times of scarcity. This reframes batteries as a direct competitor to traditional grid infrastructure.

The rise of rooftop solar, local batteries, and on-site generation means power is increasingly produced closer to where it's used. This trend is devaluing long-distance transmission infrastructure and suggests the future grid will be far more decentralized and localized.

While GPUs dominated headlines, the most significant bottleneck in scaling AI data centers was 100-year-old power transformer technology. With lead times stretching over three years and costs surging 150%, connecting new data centers to the grid became the primary constraint on the AI buildout.

New, critical technologies—including compute, batteries, solar, and even Radiant's portable nuclear reactors—are all natively DC power systems. This fundamental alignment creates a powerful opportunity to build highly efficient, resilient DC microgrids that bypass many of the complexities of the legacy AC grid.

The race to build AI infrastructure was constrained not by advanced semiconductors, but by the availability of power transformers. This overlooked, 100-year-old technology saw lead times balloon to over three years, becoming the single biggest gating factor for new data center deployments.

The "across the meter" concept involves co-locating power generation with a data center and a grid interconnection. This allows the data center to consume the power it needs, draw from the grid to cover shortfalls, and, crucially, supply its excess generated power back to the grid. This transforms a major power consumer into a source of energy abundance for the local community.