As AI data centers expand, the need for reliable and scalable power sources is becoming a significant focus. Some of the major industries, including solar, natural gas, and battery storage, are expected to benefit from this transformation, with projections from experts showing that AI could significantly impact U.S. power consumption by 2030.
The Future of Energy in an AI-Powered World
At Bloomberg Invest 2025, Rob Barnett, Senior Energy Analyst at Bloomberg Intelligence, explored how solar, natural gas and battery storage could benefit from the $500 billion Stargate AI infrastructure proposal. He highlighted the growing energy demands of AI data centers, which could account for 8% to 19% of U.S. electricity consumption by 2030, depending on efficiency improvements in chips and algorithms. Barnett was initially skeptical of these projections, but his analysis ultimately confirmed that AI’s energy needs are significant and will be an important factor in shaping future power demand.
Other than AI, other factors driving electricity consumption include the resurgence of U.S. manufacturing, supported by the Inflation Reduction Act and CHIPS Act, and the continued adoption of electric vehicles. To meet this rising demand, solar power is expected to expand quickly due to its short construction timelines, which makes it an attractive option for AI-driven data centers that require quick deployment. However, because solar is intermittent, battery storage and natural gas will also play critical roles in balancing the grid. Barnett estimates that AI-related power demand alone could increase natural gas consumption by 3 to 10 billion cubic feet per day by 2030.
He added that nuclear energy has gained interest, with companies like Microsoft and Amazon securing agreements related to existing nuclear plants. However, large-scale new nuclear projects, including small modular reactors, are unlikely to contribute significantly before 2035. In the near term, the primary sources meeting the surge in electricity demand will be solar, battery storage, and natural gas, with wind energy playing a smaller role due to current policy and market dynamics.
For this article, we selected AI stocks by reviewing news articles, stock analysis, and press releases. We listed the stocks in ascending order of their hedge fund sentiment taken from Insider Monkey’s Q4 database of over 1000 hedge funds.
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13. Gaxos.ai Inc. (NASDAQ:GXAI)
Number of Hedge Fund Holders: N/A
Gaxos.ai Inc. (NASDAQ:GXAI) develops AI applications for wellness, coaching, and gaming, including a platform that integrates traditional and unconventional game mechanics.
On March 5, Gaxos.ai announced that it acquired AI technology to improve its content creation services, expanding the capabilities of Gaxos Labs and supporting its AI development efforts. The acquisition introduces advanced features like text-to-speech, image generation, video assembly, narration, styling, and script automation. CEO Vadim Mats stated that the development strengthens Gaxos’ AI ecosystem and accelerates innovation in AI-powered content creation.
12. CISO Global Inc. (NASDAQ:CISO)
Number of Hedge Fund Holders: 1
CISO Global Inc. (NASDAQ:CISO) provides security management, consulting, and incident response services across multiple countries.
On March 5, CISO Global announced that it is continuing to drive AI-powered cybersecurity innovation by integrating its solutions with Microsoft Azure and AWS. The company developed a Proof of Concept for Microsoft Security Copilot, improving threat detection and asset management through automation and intelligence sharing with its Argo Secure platform.
Moreover, CISO’s TIGRIS GRC solution is now available on the AWS Marketplace, offering cloud security and compliance tools to help organizations assess vulnerabilities, validate security standards, and optimize system design. CEO David Jemmett emphasized the company’s focus on expanding its AI-driven security solutions within major cloud platforms.
