Not Nvidia: this proxy AI stock delivered 92% in 2025

Essential brief

Key facts

GE Vernova, a turbine maker, delivered a 92% return in 2025, outperforming Nvidia and the S&P 500.

AI’s rapid growth depends heavily on reliable and scalable power generation, which turbines provide.

Investment opportunities in AI extend beyond chips and software to include energy infrastructure companies.

Sustainable and efficient power generation is increasingly important as AI data centers seek to reduce environmental impact.

Understanding AI’s ecosystem requires recognizing the critical role of physical infrastructure supporting computational demands.

Highlights

GE Vernova, a turbine maker, delivered a 92% return in 2025, outperforming Nvidia and the S&P 500.

AI’s rapid growth depends heavily on reliable and scalable power generation, which turbines provide.

Investment opportunities in AI extend beyond chips and software to include energy infrastructure companies.

Sustainable and efficient power generation is increasingly important as AI data centers seek to reduce environmental impact.

In 2025, the spotlight in the AI investment world was overwhelmingly on Nvidia, the semiconductor giant renowned for its AI chips powering machine learning and data centers. However, an unexpected player quietly outperformed Nvidia and the broader market: GE Vernova, a spinoff from General Electric specializing in turbine manufacturing. While Nvidia’s chips are critical for AI computations, GE Vernova’s turbines provide the essential raw power infrastructure that enables these AI systems to operate at scale.

GE Vernova’s 92% return in 2025 starkly contrasts with the more modest gains of Nvidia and the S&P 500 index, highlighting the importance of energy infrastructure in the AI ecosystem. AI workloads require massive computational resources, which in turn demand substantial and reliable electricity supply. GE Vernova’s turbines, which generate electricity efficiently and at scale, have become a foundational component supporting the AI industry’s rapid expansion. This connection between energy generation and AI performance often goes unnoticed but is crucial for sustaining the growth of AI applications.

The success of GE Vernova underscores a broader investment insight: the AI revolution is not just about chips and software but also about the physical infrastructure that powers data centers and AI operations. As AI models grow larger and more complex, their energy consumption rises dramatically, making companies involved in power generation and energy management increasingly relevant. Investors who recognized this dynamic in 2025 were rewarded handsomely by GE Vernova’s stock performance.

Furthermore, GE Vernova’s growth reflects wider trends in the energy sector, including a push for more efficient and cleaner power generation technologies. As AI data centers seek to balance performance with sustainability, turbine makers that can deliver reliable and greener energy solutions are positioned to benefit. This also suggests that future AI-related investments might extend beyond traditional tech firms to include companies in the energy and infrastructure sectors.

In summary, while Nvidia remains a key player in AI hardware, GE Vernova’s 2025 performance reveals the critical role of power generation in the AI ecosystem. This case exemplifies how AI’s growth drives demand across multiple industries, emphasizing the interconnected nature of technology and infrastructure. For investors, it highlights the value of looking beyond the obvious tech stocks to identify companies that support AI’s underlying operational needs.