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Key takeaways:
- As hyperscale data centers demand reliable, around-the-clock power, natural gas is emerging as a critical bridge fuel for AI growth.
- PwC’s analysis projects AI-linked gas demand in the US could reach 7.6-11.5 Bcf/d by 2035, depending on data center buildout scenarios.
- Existing gas networks have a competitive advantage. Pipelines, storage assets, and established rights-of-way can help accelerate time-to-power by reducing permitting and development delays.
- Energy procurement is becoming a strategic differentiator for data centers. New models—including behind-the-meter generation and dedicated gas supply agreements—are helping developers secure reliable power faster.
- The biggest constraint may be infrastructure, not capital. Permits, pipelines, turbines, labor, water, and project timelines are increasingly the scarce resources shaping who captures value from the AI buildout.
The AI buildout is rapidly becoming a gas-delivery story. That’s because AI data centers are larger, more concentrated, and more time sensitive compared to other commercial and industrial electricity consumers. That kind of load often requires natural gas as the transition fuel to generate firm, dispatchable power around the clock, given constraints with other non-intermittent power alternatives.
Based on PwC analysis, PwC expects a hike in gas demand generated by the considerable growth of AI data centers. After establishing that AI load translates into significant gas demand, we address the question of deliverability: Is the domestic gas network reliable enough to move the gas requirements on time, at pressure, and through well-connected infrastructure? We highlight new commercial structures that are taking shape to deliver this energy demand and discuss what that can mean for the energy industry, data center developers, investors, and policymakers.
Main findings:
- PwC’s scenario analysis across three cases—bear, base, and bull—shows that by 2035, incremental AI-linked gas demand would rise to 7.58 billion cubic feet per day (Bcf/d), 8.55, and 11.47, respectively (depending on a range of assumptions). What’s noteworthy is that even if a fraction of committed capital reaches operation, gas demand moves materially.
- Existing gas systems that are integrated across gathering, transmission, transport, storage, etc., may hold the advantage. Existing rights-of-way and storage fields matter because they compress schedule risk.
- Within the oil and gas industry, new commercial models are emerging to move gas closer to load requirements. New partnerships seem to be forging between midstream operators, data center developers, and investors, oriented toward ensuring a reliable networked gas supply to power the AI economy.
- For data centers, energy procurement is no longer a back-office function but a strategic differentiator. Given the scale, concentration, and uptime requirements of AI data centers, natural gas remains a critical fuel for the heavy-duty turbines required to deliver reliable, around-the-clock power. From an investor standpoint, contracted gas infrastructure has become a bankable asset in the energy market.
The scarce resources to build the gas-delivery model to power the AI data center growth are often not dollars but permits, pipeline, rights-of-way, turbines, water, and time. The infrastructure that leverages those advantages is likely to capture an outsized share of the value.
Adapting domestic gas infrastructure to meet AI's energy demand
What should energy companies, data center developers and investors consider now?
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