Giga Energy Taps Tesla, Google Veteran to Solve AI's Critical Power Bottleneck

HOUSTON, TX – May 21, 2026 – Giga Energy, a firm born from solving energy challenges in the Texas oilfields, has appointed former Tesla and Google executive Angad Sandhu as its new Chief Technology Officer, a strategic move aimed at accelerating the construction of data centers for the power-hungry artificial intelligence industry.

Sandhu, who brings experience scaling Tesla's Gigafactories and expanding Google's AI data center infrastructure, joins a company positioning itself as the answer to one of the tech world's most urgent problems: the massive gap between the demand for AI computation and the ability to power it.

“We could not be more excited to have Angad on our team,” said Matt Lohstroh, CEO of Giga Energy. “Not just his experience, but his vision. He sees the future of AI infrastructure and development, he knows what we need to do to build it, and he sees Giga as the best place to make that happen.”

The Insatiable Demand Meets an Immovable Grid

The appointment comes as the AI revolution accelerates at a breakneck pace. The computing power required for training the most advanced AI models now doubles every five to six months, a rate that dwarfs Moore's Law. This exponential growth has triggered an arms race among tech giants, with projected spending on AI infrastructure expected to surpass $250 billion in 2025 alone.

However, this digital gold rush is slamming into a wall of physical constraints. The primary bottleneck is no longer just the supply of high-performance GPUs, but the availability of raw power and the infrastructure to deliver it. The U.S. power grid, an aging system designed for a different era, is struggling to keep up. Reports indicate that connecting a new large-scale facility to the grid can involve a wait of anywhere from four to ten years, while AI data centers are often planned and built in just two to three. This mismatch creates a critical "time-to-energization" gap that threatens to stall AI's progress.

Furthermore, the traditional data center construction model, reliant on disconnected contractors and long supply chains for critical components like transformers and switchboards, is notoriously slow. Legacy manufacturers often quote lead times of nearly two years, a lifetime in the fast-moving AI sector.

Giga's Factory-Built Future

It is this very bottleneck that Angad Sandhu cited as his reason for joining the Houston-based company. “I have experienced every frustration throughout the data center supply chain, and Giga Energy was the only company that started with manufacturing to solve the time-to-energization bottleneck,” Sandhu stated. “There is nowhere else I’d rather be.”

Giga Energy's solution is a radical departure from the conventional approach. The company operates on a "vertically integrated" model, controlling nearly every aspect of the deployment process from site development to manufacturing and final energization. This gives it a level of control and speed that traditional developers, juggling multiple vendors and contractors, cannot match.

The core of this strategy lies in its factory-built infrastructure systems. By manufacturing its own modular data centers, transformers, switchboards, and other critical electrical components in its facilities in Texas and California, Giga can bypass the snarled global supply chains. The company claims this model allows it to build and deploy a complete data center in under nine months—a dramatic reduction from the 18-to-24-month timeline common in the industry. This is achieved by running processes in parallel: while permits are being secured and site work is underway, the core components of the data center are already being fabricated in a factory, ready for rapid assembly.

From Flared Gas to AI's Frontline

Giga Energy's expertise in rapid, unconventional infrastructure deployment is not new. The company was founded in 2019 by Matt Lohstroh and Brent Whitehead, then undergraduate students at Texas A&M University, who bootstrapped the venture with funds from their lawn care business.

Their initial mission was to tackle a problem in the oil and gas industry: the flaring of surplus natural gas. They developed a system of modular data centers paired with natural gas generators that could be deployed directly at oil wells. This allowed them to convert otherwise wasted energy into electricity for Bitcoin mining, a process that also reduced CO2-equivalent emissions compared to flaring.

This hands-on experience in deploying power and compute infrastructure in challenging, remote environments forged the company's DNA. It evolved from a Bitcoin mining operator into a full-stack infrastructure provider, shifting its focus from owning the mining containers to manufacturing and selling the modular data centers and electrical systems themselves. This pivot proved prescient, positioning the firm perfectly to serve the burgeoning AI market, which shares Bitcoin mining's need for dense, rapidly deployable power. With a lifetime revenue exceeding $270 million built on relatively little outside capital, the company has proven the viability of its model.

Scaling for the AI Revolution

At Giga Energy, Sandhu's mandate will be to scale this factory-built model to meet the unprecedented demand from the AI sector. His background is uniquely suited for the task. At Tesla, he helped scale engineering and manufacturing operations for the Gigafactories, which revolutionized automotive production through vertical integration and automation. At Google, he was on the front lines of building out the massive data center infrastructure required to power the company's cloud and AI ambitions.

His role will focus on refining and expanding Giga's manufacturing capabilities to bring new power and compute capacity online faster than ever before. This involves not just building data centers, but delivering the entire ecosystem of power infrastructure that AI companies are desperately seeking. As the tech industry races to secure land, power, and compute capacity, Giga Energy is betting that the companies who can build the fastest will win. With Sandhu at the technology helm, the company aims to prove that the future of AI will be built not just with code, but with factory-precision infrastructure delivered at revolutionary speed.