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Summary of the July 2026 AI Power Report

July 2026 Dan Ives Power 30 Research Report

The Bottleneck Shifts from Demand to Delivery

Dan Ives and the Wedbush research team have updated the Dan Ives Power 30 Research Report (the “AI Power Report”), adding Ormat Technologies (ORA) and Celestica (CLS) while removing Dominion Energy (D) and American Tower (AMT). The July 1, 2026 update reflects Wedbush's view that power delivery rather than customer demand has become the constraint that decides what gets built.

The AI Power Report launched in March 2026 on the conviction that the AI buildout is a physical infrastructure story and that the physical bottleneck is power. Three months on, Wedbush sees that thesis accelerating. Hyperscaler capital commitments have grown, interconnection constraints have tightened, and the companies that own the generation, grid, and hardware assets the AI stack runs on have become harder to replicate.

AI Power Report Updates

Additions to the AI Power Report

Removals from the AI Power Report

The Power Wall Is the Story

The bottleneck has shifted from demand to delivery. The five largest hyperscalers are committing a combined $690 billion in 2026 capital expenditures, nearly all of it driven by AI, yet the defining question is no longer whether customers want capacity. It is whether the grid can deliver enough electricity to run it. Microsoft has described an $80 billion Azure backlog driven by power availability rather than weak demand. U.S. data center power demand is on track to reach 76 GW (gigawatts) by year-end 2026, up from roughly 50 GW in 2024, and Wedbush's bottom-up model still projects consumption of 470 TWh (terawatt-hours) by 2030, roughly 10% above the International Energy Agency base case.

The Grid Cannot Absorb It Quickly

More than 2,600 GW of generation and storage capacity sits in U.S. interconnection queues, nearly double the country's entire installed capacity, and entering the PJM queue today means no interconnection agreement before 2028 at the earliest. Utilities are committing capital to match. S&P Global forecasts aggregate U.S. energy utility capital spending of $1.3 trillion for 2026 through 2030, a 29% increase over prior estimates, with Duke Energy planning $102 billion through 2030 and Southern Company $81 billion through 2029.

Policy Is Moving Toward Baseload

The NRC (Nuclear Regulatory Commission) Part 53 rule, effective April 29, 2026, is the first new reactor licensing framework since 1989. In June 2026 the DOE (Department of Energy) issued a $17.5 billion conditional loan commitment to finance long-lead components for ten large-scale AP1000 reactors, the largest direct federal financing of the nuclear supply chain since the original U.S. fleet was built. Geothermal and nuclear are winning hyperscaler PPA attention because both run at roughly 92% capacity factors against about 23% for solar and 35% for wind, and Google has now signed agreements in both.

What Wedbush Is Watching in Q2 Earnings

Wedbush framed the second quarter earnings cycle as the first real stress test of the thesis. The five signposts are whether Microsoft, Alphabet, Meta, and Amazon hold or raise capex guidance, whether Vertiv's EMEA bookings recover, whether GE Vernova's margins confirm new slot reservations pricing above backlog, whether Quanta's book-to-bill holds above 1.5x, and whether utility earnings from Southern Company, NextEra, Constellation, and Vistra include new large-load PPA announcements.

Conclusion

The AI story is now a story about electrons, steel, and turbines, and the July update reflects where that constraint is binding hardest. The roster changes add 24/7 clean baseload and the hardware manufacturing layer while removing a merger situation and a name with limited direct AI power exposure. The thesis the AI Power Report was built on is now playing out in public.

Important Information

This content draws from the July 2026 AI Power Report by Dan Ives and the Wedbush Research team. Excerpts are used under fair use for educational and informational purposes. All rights reserved to Wedbush Securities Inc.

This material is for informational purposes only and does not constitute investment advice or an offer to buy or sell any security. The views expressed are those of the authors and are subject to change. Investing involves risk, including loss of principal. Past performance is not indicative of future results.

References to specific securities are for illustrative purposes and do not constitute a recommendation.

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The Solactive Wedbush AI Power & Infrastructure Index represents listed equities identified as significant artificial intelligence power and infrastructure companies, focused in the areas of power generation and fuel supply; grid infrastructure and data centers; equipment and power management; and materials and enabling technology.

AI Infrastructure Risk. The Fund's strategy of emphasizing investments in AI infrastructure companies means that the performance of the Fund will be closely tied to the performance of industry sectors that are expected to benefit from the growth of AI-capable data centers and related technology and energy infrastructure. Investing in companies that are expected to benefit from the same macro theme means that some of the Fund's investments may be similarly affected by certain market, economic, political, or social developments.

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