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AI Development

LIXTE Transforms into NOMAD Power Solutions, Targets AI Energy Bottleneck with $6.5M Investment

BOCA RATON, FL – LIXTE Biotechnology Holdings, Inc. (LIXT) announced today its definitive transformation into NOMAD Power Solutions, Inc., a strategic pivot addressing the critical electricity demands of the artificial intelligence sector. This move signals a direct corporate response to the power infrastructure challenges facing the burgeoning AI industry. The company formalized definitive documents to combine with NOMAD Transportable Power Systems.

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Addressing the AI Power Demands

The shift comes as the AI industry confronts a severe power bottleneck. Data centers powering artificial intelligence require immense and continuous quantities of electricity, outpacing the grid’s expansion capabilities. This demand gap has solidified as a defining investment theme.

NOMAD Power Solutions, trading under a new Nasdaq ticker, aims to become a pure-play deployable-power company. The company focuses on utility-grade battery energy storage systems (BESS), specifically targeting the power crunch fueled by AI infrastructure.

NOMAD’s Strategic Funding and Growth Projections

LIXTE provides NOMAD with a $6.5 million loan ahead of the anticipated deal close, expected around July 1, 2026. This capital will fund long-lead components and working capital as NOMAD scales operations to meet its order book.

NOMAD reported approximately 175% revenue growth in 2025. Management projects an additional 135% growth for 2026. This momentum reflects inbound sales activity, with over 30 active utility, infrastructure, and strategic customer opportunities across North America.

The Broader Infrastructure Challenge for AI

The AI industry’s electricity consumption highlights a significant constraint on its expansion. Goldman Sachs estimates cumulative AI capital expenditure will reach $7.6 trillion between 2026 and 2031. Higher-for-longer interest rates consequently increase borrowing costs for data centers, chip orders, and power grid upgrades.

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Beyond power, the demand for AI infrastructure strains other supply chains. Memory, particularly High-Bandwidth Memory (HBM), absorbs substantial manufacturing capacity, leading to tight allocation. This extends to power conversion, thermal management, and connectivity infrastructure as organizations deploy larger AI models.

Market Implications of AI Infrastructure Investment

The strategic pivot by companies like NOMAD underscores a growing recognition of AI’s foundational requirements. The five largest cloud and AI infrastructure providers — Microsoft, Alphabet, Amazon, Meta, and Oracle — committed to spending between $660 billion and $690 billion in 2026 alone.

This investment, however, faces the reality of electricity supply. While Wall Street focused on chipmakers, the market’s attention now shifts to the essential infrastructure required to power these advanced technologies. The capacity booked through 2028 in AI-related segments increases unavailability risk for buyers lacking preferential agreements.

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