President Donald Trump recent Executive Order, Removing Barriers to American Leadership in Artificial Intelligence, marks a significant pivot in U.S. AI policy. Signed on January 23, the directive aims to position the United States at the forefront of AI development by removing regulatory hurdles and promoting innovation, signaling a shift from previous approaches focused on oversight and equity.
The order sets an ambitious timeline: within 180 days, government agencies must develop a comprehensive AI Action Plan centered on promoting national security, economic competitiveness, and human flourishing. In a follow-up on February 25, the White House extended a call to the private sector, encouraging input from corporations, academia, and state leaders on shaping the strategy.
One of the most prominent responses came from GE Vernova. AU.S.-headquartered energy tech leader focused on advancing the global energy transition. The company submitted a detailed policy roadmap outlining how it intends to power the nation’s AI and data center ambitions—and its strategy centers on energy innovation, sustainability, and grid modernization.
GE Vernova Aligns AI Growth With Power Infrastructure
“AI and data center growth are on track to become massive drivers of economic growth and national competitiveness,” said Roger Martella, Executive Vice President and Chief Corporate Officer at GE Vernova. In a public LinkedIn post, Martella emphasized the urgency for smart, forward-looking energy policies that can support this growth.
GE Vernova’s roadmap identifies four core energy priorities to support the White House’s AI vision:
- Dispatchable Energy
- Grid Readiness
- Behind-the-Meter Systems
- Innovation and Technology Leadership
At the heart of its proposal is the need for reliable, dispatchable power sources. GE Vernova argues that natural gas remains the most effective and immediate solution for scaling electricity output to meet the soaring demand from AI workloads and hyperscale data centers. The company proposes maximizing the efficiency of existing gas turbines, with the potential to unlock 14 GW of additional power. Upgrading nuclear infrastructure could add another 2 GW.
By optimizing these systems rather than building from scratch. GE Vernova aims to provide scalable solutions that match the speed of AI development.
To deliver power where it’s needed most, GE Vernova is calling for faster approvals for transmission and interconnection projects. Ensuring a robust grid that can support AI hubs across the country. The company also urged federal support for U.S.-based manufacturing of critical power components, reinforcing domestic infrastructure resilience.
Beyond grid solutions, the roadmap promotes behind-the-meter energy systems. Including solar panels, battery storage, and microgrids—as vital tools for supporting data centers independently. These solutions provide flexibility, reduce reliance on overburdened grids, and enable AI facilities to function in remote or underserved regions.
To scale this approach, GE Vernova recommends modernizing permitting rules and enabling partial grid participation, so data centers can blend on-site power with centralized infrastructure as needed.
Innovation sits at the core of GE Vernova’s roadmap. The company urges stronger public-private partnerships to advance technologies like small modular nuclear reactors (SMRs), carbon capture, and AI-powered grid software. These technologies, it argues, will not only meet domestic energy needs but also drive global deployment of U.S. energy systems. Cementing American leadership in both AI and clean energy.
GE Vernova sees energy policy as central to geopolitical competitiveness. “Powering AI growth with U.S. technology is a strategic and economic imperative,” the company states in its report. To support this goal, it is investing $600 million in domestic manufacturing, a move expected to create 1,500 new U.S. jobs.
As the U.S. accelerates its AI ambitions under Trump’s executive directive. GE Vernova is positioning itself at the intersection of energy and innovation. Its roadmap reflects a growing recognition that digital progress must be matched by smart energy strategy. Not just to keep pace with AI, but to ensure the United States remains secure, competitive, and energy independent in a rapidly changing world.
