The AI buildout has a power question

Start at the socket

Before asking how many AI chips a business can buy, ask where the electricity will come from. Berkeley Lab’s report update, published in June 2026, models U.S. data centers reaching 11.8% of national electricity use in 2030, with wider scenarios spanning 9.5% to 15.3%. Those are estimates from a model, not measured future outcomes, and they cover data centers rather than AI alone.

Turn the forecast into a question

The interesting investment work begins after that headline. Which part of the proposed buildout is a particular company actually equipped to deliver? Choose one link in the system, such as cooling equipment or electrical distribution, and write a plain sentence describing the product, the customer and how the supplier gets paid. If you cannot explain that sentence, keep researching before turning the theme into a stock thesis.

Follow an order into cash

An editorial research checklist: Who is funding the customer? What must happen before an order becomes a delivery? What costs can change between signing and completion? When does the supplier collect payment? What obligations remain after installation? These questions help organize a reading of company filings; they are not claims that any specific business has a problem.

Put expectations beside the business

A compelling industry story does not supply a purchase price. Write two separate notes: what would have to go right for the operating business, and what expectations you think the current valuation already assumes. Mark each estimate as your own and state what would invalidate it. A thesis becomes easier to examine when its weakest assumption is visible.

Keep a record that can be contradicted

Save the original report, the filing dates and your research questions. Revisit the same questions when new results arrive instead of replacing them with a fresh story. The useful output is a trail of evidence, unanswered questions and changed judgments. This article offers a research framework, not a recommendation to buy a security or a personalized portfolio allocation.