Key Points

  • Oracle is asking U.S. federal regulators to accelerate approval of the Green Chile gas pipeline, designed to supply approximately 400 million cubic feet of natural gas per day to the Project Jupiter data center.
  • The proposed 17.8-mile pipeline is now expected to enter service in February 2027 after regulatory delays forced changes to its planned route.
  • The dispute highlights how energy supply, environmental reviews and local opposition are becoming critical factors in the expansion of AI infrastructure.
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Oracle is pressing U.S. regulators to accelerate approval of a natural gas pipeline intended to supply energy to its massive Project Jupiter data center in New Mexico. In an October 13, 2026, letter, the company asked the Federal Energy Regulatory Commission (FERC) to move the decision forward, warning that further delays could postpone the facility’s launch and affect expected employment and economic activity. The dispute underscores a central challenge facing the AI boom: building advanced computing infrastructure depends not only on chips and servers, but also on access to reliable power.

Pipeline Delays Threaten the Project Timeline

The proposed pipeline, known as Green Chile, is designed to transport approximately 400 million cubic feet of natural gas per day to Bloom Energy fuel-cell power systems. The infrastructure is intended to supply electricity to the data center through a dedicated power system rather than relying entirely on the regional electricity grid. The pipeline would extend approximately 17.8 miles, but its expected start date has been pushed back to February 1, 2027, from an earlier target of August 15, 2026.

The delays followed opposition from New Mexico authorities to the original route. After applications for rights-of-way across state land were rejected, Transwestern Pipeline, a subsidiary of Energy Transfer, had to develop an alternative route involving federal land. The change extended the project timeline and left construction dependent on completing the relevant regulatory approvals.

Environmental Disputes Add Uncertainty

Even after an initial environmental assessment was published on September 4, approval of the pipeline is not guaranteed. Environmental groups and New Mexico Attorney General Raúl Torrez have called on regulators to examine the combined effects of the pipeline and the data center itself. They argue that evaluating the pipeline separately is insufficient and that FERC should revise its environmental assessment or prepare a more comprehensive review of the project’s potential impacts.

The dispute reflects a broader tension in the United States between the drive to expand AI infrastructure quickly and concerns about environmental effects, resource consumption and the distribution of local costs and benefits. For Oracle, additional delays could complicate coordination between construction, computing equipment installation and securing the power supply required for commercial operations.

Temporary Energy Solutions May Offer Limited Relief

In response to the delays, Oracle is considering transporting compressed natural gas by truck to support the initial stages of Project Jupiter’s operation. The company has used a similar approach at smaller projects in Utah and Texas. However, trucking is expected to be more suitable for initial testing and limited operations than for meeting the facility’s full long-term energy requirements.

Project Jupiter is planned at approximately 2.5 gigawatts of capacity and is intended to support AI infrastructure for OpenAI. The development is part of a broader expansion of data centers in which access to energy is becoming a major constraint. Oracle must coordinate the facility’s construction schedule, environmental approvals and the delivery of sufficient natural gas.

Investors will be watching FERC’s decision, progress on pipeline construction and the company’s ability to bring the facility online according to its revised schedule. The project could offer a test of whether dedicated energy systems can ease constraints on the electricity grid—or whether permitting requirements, local opposition and dependence on gas infrastructure will continue to slow the expansion of computing capacity needed by the AI industry.


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