The AI boom is rewriting the US natural gas map. As data center operators race to secure power, gas demand is surging in places the market has never had to price with precision before, and legacy benchmarks are being tested by flows they were never designed to reflect.
Pipeline bottlenecks out of the Permian have already pushed Waha Hub into prolonged negative pricing even as demand from Gulf Coast LNG and Texas data centers climbs, while secondary hubs near emerging AI build-outs in Virginia, Georgia, Ohio and beyond are seeing new and unfamiliar basis risk.
Forecasts point to AI-linked gas demand reaching well over 6 Bcf/d by 2030. Corporates, traders and risk teams are having to ask a new question: are we even pricing gas in the right places?
In this session, General Index and Bloomberg experts will explore why the AI-driven build-out of US data center capacity is forcing a rethink of natural gas price discovery, and why granular, location-specific benchmarks are becoming essential to managing exposure across an increasingly fragmented market.
Five areas for anyone pricing, trading or hedging US natural gas as data center demand grows.
How AI and data center demand are reshaping natural gas consumption patterns across North America
Why regional price divergence, from negative prints at Waha Hub to premiums in infrastructure-constrained regions, is becoming more pronounced
The pipeline and transmission constraints limiting supply to fast-growing demand centers, and what new capacity means for basis risk
Why new and more granular pricing locations are needed to capture emerging demand hubs near data center build-outs
Practical approaches for corporates and traders to monitor hub-level spot benchmarks and manage evolving exposure with confidence
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[Date TBD] 2026, [Start time] to [End time] ET.
