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This is The First Energy Stock I Plan to Buy in July (Hint: It's Not Energy Transfer)

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Energy Markets & PricesTechnology & InnovationCompany FundamentalsCorporate Guidance & OutlookCapital Returns (Dividends / Buybacks)Credit & Bond Markets

Brookfield Infrastructure shares are down more than 15% YTD, pushing its dividend yield to 4.7% (vs Energy Transfer’s 7% after units rose >15% YTD). The company reported FFO per share growth of 10% in Q1 (up from 6% the prior year) and expects >10% annual FFO per share growth going forward, supported by $9B+ of growth capital projects and AI/data-center-related expansion. Management projects 6%–9% annual organic growth and 5%–9% dividend growth, alongside $1.5B of recent investments and continued value-enhancing acquisitions, making it the article’s preferred July energy buy.

Analysis

The market mechanism here is not “cheap income” so much as duration: BIP/BIPC trade like a hybrid of regulated infrastructure plus equity option on AI capex, so the current discount is mostly a rate/credibility problem, not a cash-flow problem. If long rates roll over, this name should re-rate faster than ET because its growth narrative is broader and less commodity-dependent; if rates stay sticky, the yield alone is unlikely to close the valuation gap. Relative to ET, BIP/BIPC has a cleaner path to multiple expansion if management keeps converting backlog into FFO and the data-center segment proves it can earn acceptable returns without overleveraging the balance sheet. The second-order winner set extends beyond the stock itself: utilities, power equipment, and data-center infrastructure peers could benefit if Brookfield validates that private infrastructure capital can monetize AI demand directly, rather than only selling pipes and gas. The loser set is any asset-heavy, lower-growth yield vehicle that depends on yield-hungry investors and rising distributions to defend the multiple. The main risk is that “AI infrastructure” becomes a catch-all story with a long lag to actual cash returns. Over the next 1-3 months, the catalyst is earnings guidance and any evidence that financing costs or project delays are slowing FFO growth; over 6-18 months, the thesis fails if data-center economics disappoint or acquisition returns dilute rather than compound. The contrarian view is that the selloff may be justified if investors are discounting a higher-for-longer rate environment and the market is too willing to capitalize every AI-related asset at a premium without proof of returns.