The global race to build AI infrastructure has reached a scale once reserved for energy megaprojects. OpenAI’s flagship initiative, Project Stargate, boasts a $500 billion buildout spanning up to 10 gigawatts of capacity, roughly equal to the output of seven nuclear reactors. The first phase alone, anchored in Abilene, Texas, deploys 450,000 NVIDIA GB200 GPUs and draws over 1.2 GW of power, more than required to serve 750,000 homes. Across its five newly announced sites, OpenAI aims to nearly 7 GW of total installed capacity by the end of 2025, advancing ahead of schedule toward its 10 GW goal.
This unprecedented acceleration is emblematic of a broader shift across the United States. According to BloombergNEF, data centers already use about 3.5% of U.S. electricity but will more than double to 8.6% by 2035 as AI workloads send power needs soaring from roughly 35 GW today to 78 GW a decade from now. Hourly demand will nearly triple over that same span, from 16 to 49 gigawatt-hours, outpacing even electric vehicles and hydrogen as the fastest-growing source of load on the U.S. grid.
At the same time, grid congestion and multi‑year interconnection queues threaten to bottleneck this growth. Building a large‑scale data center now takes an average of seven years, nearly five years just to secure power and permits. In this environment, AI developers are competing for electrons as intensely as they are for GPUs, making sites with immediate, dispatchable energy the most valuable real estate in computing.
TECfusions is answering that challenge without the same costly lag time. In our New Kensington, Pennsylvania development known as Keystone Connect, we are building one of the largest data‑center facilities in the United States attainable in under the 8-10 year wait time nuclear would demand. The campus integrates scalable on‑site power, directly mapped to industrial distribution infrastructure and insulated from PJM’s lengthy interconnection queues. Additionally, this is an adaptive reuse facility, utilizing preexisting industrial infrastructure instead of pure greenfield construction. This allows AI- and HPC-scale compute to energize within months, not years, eliminating costly grid permitting cycles and de‑risking deployment for tenants requiring gigawatt‑scale readiness.
Natural gas is underpinning much of the new U.S. data‑center build‑out because of its abundant supply and flexible load‑following capability. TECfusions is applying that model directly. With available on‑site natural gas generation that bypasses the PJM interconnection queue entirely, our model enables rapid energization while insulating tenants from grid‑driven delays and price volatility.
As the race is on for multi‑gigawatt AI campus development, our Keystone Connect facility demonstrates what a practical next‑generation facility looks like: one that blends energy certainty with deployment speed. TECfusions is not just speculating about the AI economy; we are engineering for it, delivering utility‑independent capacity where the grid cannot keep up. Where the headlines reveal a capacity crisis, TECfusions has built a solution: AI infrastructure ready to run today.
