General Fusion Group Ltd. (GFUZ) debuted on Nasdaq as the first publicly listed fusion energy company, rallying approximately 21% on its first trading day. The Vancouver-based company, backed by Jeff Bezos and Tobias Lütke, uses a mechanically-driven Magnetized Target Fusion approach and entered public markets with ~$150 million to fund technical milestones through 2028, including reaching the Lawson criterion for net energy production.

As AI spending by U.S. hyperscalers is projected to reach $1 trillion in 2027, industrial companies supporting data center infrastructure are positioned for significant growth. Vertiv Holdings and Quanta Services are highlighted as key beneficiaries, with Vertiv providing thermal management and power systems for AI chips, while Quanta builds transmission infrastructure to support power-hungry data centers.

As AI data centers require massive power infrastructure investments (estimated at $6 trillion by 2030), two companies are positioned for significant growth: Vertiv Holdings, which supplies cooling and power management systems with 30% YoY revenue growth, and GE Vernova, a gas turbine supplier with a $163 billion order backlog. Both stocks have already surged this year and are expected to continue outperforming the market through 2030.

Oracle and Microsoft stocks declined 24.8% and similarly in the first half of 2026 due to increased AI infrastructure capital spending requirements and significant exposure to OpenAI. Bond markets priced in increased default risk for Oracle following its $300 billion OpenAI deal, as investors question OpenAI's ambitious financial projections of $650 billion cash burn through 2030 against $280 billion expected revenue by 2030.

Eaton is positioned as a critical infrastructure company benefiting from AI, electrification, and grid modernization through its backlog, pricing power, and smart power systems. However, the stock's current valuation leaves little room for disappointment.

Vertiv and Eaton are positioned as key infrastructure beneficiaries of the AI boom, providing essential power and cooling solutions for data centers. Both companies report strong backlogs ($15B+ for Vertiv, $14.5B for Eaton), robust revenue growth, and multi-year visibility. However, both stocks trade at elevated valuations with significant year-to-date gains, presenting valuation risks if AI spending slows.

The data center direct-to-chip cooling market is expected to grow from $3.33 billion in 2026 to $17.31 billion by 2032, driven by increasing demand for thermal management in AI and hyperscale computing. Single-phase systems and water-glycol coolants dominate the market, with hyperscale data centers leading adoption due to energy efficiency and sustainability goals.

AI data center demand is straining power infrastructure, creating opportunities for industrial stocks. GE Vernova and nVent Electric are benefiting from surging orders for power solutions and cooling equipment, with both companies recently raising 2026 earnings guidance despite elevated valuations.

South Korea announced a $1 trillion investment plan in semiconductor fabrication plants and AI data centers, with SK Group, GS Group, and Naver committing $356 billion to AI data center development. Vertiv, which provides power systems infrastructure for data centers, surged 7% on the news due to its strong positioning in Asia and connection to Nvidia's ecosystem.

The article highlights ON Semiconductor and Rockwell Automation as undervalued industrial stocks poised to benefit from AI inference spending growth. ON Semiconductor's AI data center revenue is expected to double from $250M (2025) to $500M (2026), while Rockwell Automation is embedding AI inference models into its industrial automation solutions through partnerships with Nvidia. Both companies currently have low AI exposure but are positioned for significant long-term growth as the AI market shifts from infrastructure investment to inference deployment.

As AI data center investment accelerates, opportunities extend beyond chip makers to networking, cloud infrastructure, and power management suppliers. Astera Labs, CoreWeave, and Vertiv are positioned to benefit from growing demand for high-speed networking, GPU cloud services, and power/cooling systems in AI data centers.

Eaton and Vertiv are both benefiting from AI data center demand and electrification trends, but offer different value propositions. Eaton provides diversified power management across industrial, aerospace, and electrical sectors with more conservative valuation (P/E 30.4x), while Vertiv specializes in high-growth digital infrastructure with stronger recent growth (27.7% revenue growth) but higher valuation (P/E 49.1x). The article recommends Eaton for its breadth, stability, and dividend history, though Vertiv presents a compelling growth opportunity.