How to Earn $600 a Month From the Pipeline Stocks Powering AI Data Centers

Energy Transfer and Kinder Morgan are positioned to benefit from AI-driven data-center power demand through expanded natural-gas supply and pipeline infrastructure. Energy Transfer has secured gas-supply agreements and expects its distribution to grow 3%-5% annually, while Kinder Morgan has $8.2 billion of gas-pipeline projects under construction and over $10 billion of additional opportunities. At cited yields of 6.5% for Energy Transfer and 3.8% for Kinder Morgan, a $141,250 equal-weight investment would generate roughly $7,204 annually, or $600 per month, in dividends.

Analysis

The investable mechanism is not gas-price beta but contracted throughput and rate-base-like EBITDA growth: incremental data-center generation demand can extend pipeline utilization, reduce recontracting risk, and support valuation durability if capacity is committed under long-term take-or-pay structures. KMI is the cleaner institutional expression because its corporate structure broadens the buyer base; ET’s higher cash yield may remain partially offset by its K-1 constraint, more complex asset mix, and a historically higher perceived execution/leverage discount.

The key second-order constraint is power delivery rather than gas availability. Data-center load forecasts can be delayed by transmission interconnection, turbine availability, permitting, and local opposition; a signed gas-supply arrangement is materially less valuable than a contracted pipeline expansion tied to an operating power plant. The market should distinguish firm transportation and minimum-volume commitments from nonbinding commercial “opportunities,” particularly as LNG export demand and industrial demand compete for the same Gulf Coast and Southeast capacity.

Near term, this is unlikely to create a durable rerating absent disclosed project economics, in-service dates, and customer-credit detail. Over 1-3 months, backlog conversion and 2027-28 capex guidance are the relevant catalysts; over 6-18 months, successful completion without leverage creep could compress KMI/ET’s infrastructure risk premium. Falsification: project cancellations, capex returns below cost of capital, a material increase in debt/EBITDA, or utility load forecasts being revised lower as data-center construction schedules slip.

Key Decisions for Investors

• Do not chase ET or KMI solely on the AI narrative; treat the current signal as an earnings-call diligence item, not a standalone catalyst. Require disclosed contract tenor, minimum-volume commitments, expected in-service date, and project-level return before adding exposure.
• Prefer KMI over ET for a 6-18 month income/infrastructure allocation: initiate only on weakness or after confirmed backlog conversion, with a thesis that EBITDA visibility and lower structural complexity narrow its valuation discount. Exit or reduce if net-debt/EBITDA trends upward or incremental project returns fall below management’s stated hurdle.
• For higher-yield accounts able to hold an MLP, use ET selectively after contract details validate incremental fee-based cash flow; size smaller than KMI given governance/structure and execution complexity. The attractive distribution is not sufficient compensation if growth capex becomes equity- or debt-funded rather than self-funded.
• Monitor WMB and OKE as competitive read-throughs rather than automatic substitutes: if Gulf Coast/Southeast capacity constraints intensify, these networks may capture comparable demand with potentially cleaner corporate ownership structures. A broad midstream ETF such as AMLP is preferable if project-level contract visibility remains unavailable.
• Set alerts around quarterly guidance: a meaningful upward revision to 2027-28 growth capex accompanied by unchanged leverage targets is bullish; capex growth without associated EBITDA guidance is a warning that the market may reprice these names as construction-risk stories rather than yield vehicles.