AI Unlocks Hidden Grid Power to Fuel America's Tech Boom

REDWOOD CITY, CA – March 25, 2026 – A groundbreaking collaboration between utility giant National Grid and energy technology firm GridCARE aims to solve one of the biggest obstacles to the nation's artificial intelligence and manufacturing boom: the years-long wait for power. By leveraging sophisticated AI to unlock vast, untapped capacity on the existing electrical grid, the partnership promises to slash the time it takes to connect large-scale facilities from years to mere months, potentially reshaping the landscape for economic development.

The demand for electricity is surging at a rate not seen in decades, driven by the voracious energy needs of AI data centers and the reshoring of advanced manufacturing. Developers of these large-load projects often face a daunting reality: an interconnection queue that can stretch three to seven years, stalling innovation and delaying economic benefits. This new initiative, beginning with a focus on New York, seeks to bypass this bottleneck by mining the grid for power that’s already there, but hidden.

The Grid's Untapped Potential

The core of the strategy lies in a concept that is both simple and profound: our nation's vast electrical grid is significantly underused. Research from Stanford University has highlighted that grid infrastructure often operates at only about one-third of its total capacity under normal conditions. Further analysis from other institutions supports this, with some studies indicating that the U.S. grid operates at just over 50% capacity, leaving hundreds of gigawatts of power on the table.

This is not a design flaw, but a feature of a system built for a different era. Grids are engineered for extreme redundancy, designed to handle the absolute highest peak demand—those few scorching summer hours when air conditioners are running full blast—plus a safety margin. For the vast majority of the year, a significant portion of the transformers, substations, and transmission lines sits idle. It's this latent, or 'hidden,' capacity that GridCARE and National Grid intend to harness.

By treating the grid not as a static network but as a dynamic, flexible asset, the collaboration aims to prove that the fastest and cheapest new power source is the one that has already been built and paid for. This approach represents a paradigm shift from the traditional utility model, which has historically responded to rising demand by embarking on costly and time-consuming new construction projects.

An AI-Powered Solution

To find and safely activate this hidden capacity, GridCARE deploys its EnergizeTM platform, a sophisticated system built on a foundation of physics-based artificial intelligence. The platform creates a highly detailed digital twin of the physical grid and uses generative AI models to simulate quadrillions of potential operating scenarios. This exhaustive analysis allows it to precisely identify the rare and specific conditions—down to the hour—when the grid might become constrained.

Once these potential bottlenecks are mapped, the platform devises operational strategies to navigate them. This could involve scheduling a data center's flexible computing tasks during off-peak hours or coordinating the use of localized energy solutions like battery storage and other distributed energy assets to provide support during moments of high demand. The result is a dynamic power delivery plan that allows large customers to connect to the grid safely and quickly without compromising reliability for existing users.

“We use AI to deploy AI faster by turning hidden grid capacity into a fast lane, compressing years into months, and solving the defining constraint on AI – power – to enable an era of abundance,” said Amit Narayan, CEO and Founder of GridCARE. The company, which was founded at Stanford’s Doerr School of Sustainability, claims its platform has already unlocked more than $10 billion in economic value by bringing hundreds of megawatts online for data center developers years ahead of schedule.

Fueling Growth Without Breaking the Bank

The economic implications of accelerating power delivery are massive. According to real estate services firm JLL, hyperscale data center development typically requires about $10 million in infrastructure investment per megawatt, supporting thousands of jobs and generating significant tax revenue. By enabling these projects to come online faster, the GridCARE and National Grid collaboration can directly accelerate this economic impact.

Crucially, this model also promises to protect—and potentially even lower—electricity rates for all customers. Electric grids are predominantly fixed-cost networks. By increasing the utilization of existing assets, utilities can spread those fixed costs over a larger base of electricity sales. This improves the overall efficiency of the system, deferring the need for expensive capital upgrades that are ultimately paid for by ratepayers.

“The fastest and least-expensive way to add capacity to the grid is to leverage megawatts already hidden there,” noted Steve Smith, President of National Grid Partners and Group Chief Strategy Officer at National Grid. “By responsibly unlocking latent capacity through modern, physics-based AI tools, we can support economic growth, strengthen reliability, and protect affordability for the customers and communities we serve.”

New York as the Proving Ground

The initial phase of the collaboration will focus on National Grid's service territory in New York, a state with ambitious technology and clean energy goals. Successfully demonstrating this model in a complex and high-demand market could create a blueprint for utilities across the country. It would position New York as a highly attractive location for AI and tech investment by offering what is becoming the industry's most precious commodity: speed-to-power.

State regulators and grid operators like the New York Independent System Operator (NYISO) are grappling with the dual challenge of maintaining a reliable grid while integrating new, large loads and meeting aggressive decarbonization targets. An approach that maximizes the efficiency of existing infrastructure aligns perfectly with these objectives, offering a path to accommodate growth without triggering a new wave of massive and potentially controversial transmission line construction.

This partnership represents a critical evolution in how utilities view their role, moving from static infrastructure managers to dynamic enablers of economic activity. By embracing cutting-edge AI, they can transform the grid itself into a strategic asset for attracting investment and fostering innovation. As the digital economy continues its exponential expansion, the ability to deliver power not just reliably, but rapidly, will be a key differentiator.

“We are at a critical juncture,” Narayan added. “Real-time intelligence on our energy assets lets us make strategic investments with confidence, deliver power now, and build the infrastructure the future demands – all at once.”