Demand Push

· Source: Doomberg · Field: Energy & Utilities — Traditional Energy & Fossil Fuels, Energy Markets & Policy · Depth: Intermediate, quick

Summary

The article examines persistent predictions of a US natural gas supply shortage, contrasting them with historical US shale gas production. This production has more than doubled in 15 years, surpassing 100 billion cubic feet per day (bcf/d) in the lower 48 states. It introduces Matthew Smith's thesis, from Chronometer Partners' CIO, Matthew Smith. After 18 months of modeling, Smith forecasts an unprecedented US natural gas shortage beginning in 2028. This could potentially exhaust working storage by 2030. He attributes this crisis to rapidly escalating demand, especially from AI data centers, not production exhaustion. While the author expresses skepticism about Smith's "big predictions," they agree that fast-growing demand could lead to a high-price crisis.

Key takeaway

For investors evaluating long-term energy infrastructure or AI data center development, understand that demand-side pressures, not just production, are critical. Your investment models must account for rapidly escalating natural gas demand, especially from AI. This could lead to price volatility and potential shortages by 2028. Re-evaluate assumptions about abundant, cheap natural gas for future projects.

Key insights

US natural gas supply is robust, but rapidly increasing demand, particularly from AI, poses a significant risk of future price crises and shortages.

Principles

Method

Matthew Smith modeled every well, pipeline, storage facility, and power plant in the American natural gas system to forecast future supply and demand.

Topics

Best for: CTO, VP of Engineering/Data, Executive, Investor, Consultant, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Doomberg.