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The Bear Case Looms: 4 Threats to the AI Gas Boom

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The data center industry is growing rapidly and causing a stir in the gas sector in anticipation of surging demand. Yet reality ultimately may not live up to the hype: Advances in AI model efficiency, the emergence of small modular reactors (SMRs), grid interconnection bottlenecks, and improvements in power usage efficiency (PUE) all present risks to upside in gas.

East Daley Analytics last week presented our base case for new gas demand to make electricity for data centers. We forecast 4.2–6.1 Bcf/d of additional demand by 2030, based on 290 projects we track in the new Data Center Demand Monitor (pictured in the image). Momentum is certainly strong for the sector, but there are also reasons for caution. Here we lay out the bear factors for data center demand:

  • Increased Computing Efficiency Reduces Power Demand Growth

Advancements in AI model efficiency pose the most immediate risks to demand growth. The week of January 27, DeepSeek made headlines by announcing it had trained an AI model with capabilities comparable to OpenAI’s at 13 times lower cost, implying significantly lower energy consumption. The news sent energy stocks tumbling, reflecting market concerns about how energy efficiency breakthroughs could impact power demand.

Although we do not expect DeepSeek’s innovation to impact capital already deployed for US computing and energy infrastructure, future efficiency gains may reduce the need for hyperscale data centers, thereby lowering total power demand. If AI efficiency trends continue, large-scale facilities powered by natural gas — such as Meta’s Project Sucre, which East Daley estimates will require ~360 MMcf/d of natural gas for onsite generation — could be outliers rather than the future standard.

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  • Emergence of Small Modular Reactors (SMRs) as a Viable Alternative

The growth of nuclear power, particularly small modular reactors (SMRs) is another risk to natural gas. Google has partnered with Kairos Power, and Oracle has disclosed plans to build data centers powered by SMRs, signaling that major tech firms are actively exploring zero-emission nuclear power as a long-term solution.

While SMRs are not expected to enter service until 2030-35, their viability threatens natural gas’ market share over the long term. Gas infrastructure expansions typically are supported by 15- to 20-year contracts, meaning that developers may hesitate to commit to long-term gas-fired power investments if SMRs become a credible alternative within the next 5 to 10 years.

  • Grid Interconnect Bottlenecks Delay Gas-Fired Power Projects

The slow pace of grid interconnection approvals is a structural constraint on gas demand. As of early 2024, ~79 GW of new natural gas-fired generation was waiting for approval in Independent System Operator (ISO) tie-in queues. This number aligns closely with East Daley’s 81 GW data center power demand estimate, but historical data suggests that only ~20% of projects in these queues are actually constructed.

The tech industry is accustomed to rapid innovation, but utility infrastructure and regulatory processes move much slower. This mismatch could delay or limit the number of new gas power plants coming online to serve data centers.

We expect projects will find solutions, such as companies bypassing utilities to build their own generation capacity. One example of such a workaround is Chevron’s partnership with Engine No. 1, which aims to develop up to 4 GW of gas-fired power for data centers. However, unless these private-sector initiatives scale rapidly, infrastructure bottlenecks will continue to stifle project timelines.

  • Improvements in Power Usage Efficiency (PUE) Lower Energy Consumption

Increased efficiency in data center operations, specifically reductions in Power Usage Effectiveness (PUE), could dampen demand growth. PUE measures the ratio of total facility power consumption to IT-specific power consumption, with lower values indicating greater efficiency.

East Daley’s base case assumes a PUE of 1.35, meaning that total facility power demand is 35% higher than the IT load alone. However, PUE values reported in data center project announcements have varied widely from 1.1 to 1.6, and ongoing research into cooling and energy optimization continues to drive improvements. If technological advancements reduce average PUE faster than expected, natural gas demand projections could decline meaningfully.

Learn more about East Daley’s data center forecast in the Data Center Demand Monitor, available as part of the Macro Supply & Demand package. This tool gives a bottoms-up approach to monitoring data center projects. We track and map nearly 300 projects by county across the US to visualize where demand could materialize. Reach out to learn more. – Zach Krause.

 

 

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About the AuthorZach Krause

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