Bullstory
May 17, 2026

AI power 7,000billion-dollar race, GE Vernova makes the list

The scale of Big Tech’s race to secure power for AI was put at 7,000billion dollars. GE Vernova and Bloom Energy were cited as key companies in the data-center power grid.


![AI power 7,000billion-dollar race, GE Vernova makes the list]/blog-images/gen-a3bc275c-d95d-4e8f-bb23-9ed9f609aafc.avif)

The scale of the competition among Big Tech companies to secure the power needed for artificial intelligence (AI) data centers was put at 7,000billion dollars. As the number of AI servers grows, power supply and grid connections have become central to investment discussions. Power equipment companies have also been treated as AI-related stocks.

GE Vernova and Bloom Energy were cited as leading companies. The two companies were presented as power infrastructure businesses that serve as new gateways in the AI power grid. Power equipment and power supply were identified as key elements in expanding data centers.

The number of stocks covered in this article was 5companies. The headline likened them to the Nvidia of the power sector. While Nvidia is a leading name in the AI chip investment trend, these power companies were presented as leading candidates in the AI power grid investment trend.

AI data centers need a stable supply of electricity, along with chips, servers, and cooling equipment. If power supply is insufficient, construction of a new center may still be followed by delays to its operating schedule. Big Tech’s competition to secure power is connected to companies in power generation, the grid, and on-site power equipment.

GE Vernova was mentioned in connection with power equipment and grid equipment. Bloom Energy was cited as a company linked to data center power demand. The report covered how the flow of AI investment is expanding from chip companies to companies that provide the power infrastructure.

Sources: MarketWatch Top Stories

Bullstory synthesized this report from the linked sources. AI may have assisted the writing process. Check the original reports for factual confirmation.