Most behind-the-meter deployments at gigawatt scale are CCGTs. Posts 001, 005, 008, 022, and 026 all name CCGT as the BTM workhorse, with Post 026 adding that the $630B hyperscaler capex wave will mostly fund CCGT BTM and grid-side CCGT additions.
The Big Four hyperscalers commit $630 billion to 2026 capex, a 62% surge, while signing a White House pledge to fund both new generation and all grid infrastructure upgrades required to connect their loads, eliminating the transmission bottleneck as political constraint.
Texas interconnection queue now tracks 410 GW of large-load requests, 87% from data centers, a 4.7x multiple of current peak demand. SB-6 rulemaking will determine whether projects connect to the grid or self-generate behind-the-meter.
The SPEED Act, passed by the House in December 2025, streamlines federal environmental reviews for energy infrastructure but faces a difficult Senate path requiring 60 votes. Permitting reform remains the binding constraint on gas turbine, nuclear, and transmission buildout timelines.
Three major gas turbine OEMs face record backlogs and lead times stretching to 8 years, with manufacturing capacity now the binding constraint on grid and data center deployments. Combined cycle systems dominate 70 percent market share, while slot reservations become strategic assets.
Every frontier model query draws on a grid where natural gas is now the marginal generator, and roughly a third of proposed US data center capacity is being designed to bypass that grid entirely. The reasons are physical, not philosophical. Heavy-duty gas turbine slots from the major OEMs are filling out toward the end of the decade, federal permitting reform is stuck in the Senate, and the Hormuz crisis has put a hard premium on dispatchable, domestically-fueled power. The result is that AI infrastructure is no longer just a chip and data center story. It is a power generation story, and the people who build the machines have suddenly become the people who decide how fast AI can scale.
Most behind-the-meter deployments at gigawatt scale are CCGTs. Posts 001, 005, 008, 022, and 026 all name CCGT as the BTM workhorse, with Post 026 adding that the $630B hyperscaler capex wave will mostly fund CCGT BTM and grid-side CCGT additions.
The Big Four hyperscalers commit $630 billion to 2026 capex, a 62% surge, while signing a White House pledge to fund both new generation and all grid infrastructure upgrades required to connect their loads, eliminating the transmission bottleneck as political constraint.
Texas interconnection queue now tracks 410 GW of large-load requests, 87% from data centers, a 4.7x multiple of current peak demand. SB-6 rulemaking will determine whether projects connect to the grid or self-generate behind-the-meter.
The SPEED Act, passed by the House in December 2025, streamlines federal environmental reviews for energy infrastructure but faces a difficult Senate path requiring 60 votes. Permitting reform remains the binding constraint on gas turbine, nuclear, and transmission buildout timelines.
Three major gas turbine OEMs face record backlogs and lead times stretching to 8 years, with manufacturing capacity now the binding constraint on grid and data center deployments. Combined cycle systems dominate 70 percent market share, while slot reservations become strategic assets.
Every frontier model query draws on a grid where natural gas is now the marginal generator, and roughly a third of proposed US data center capacity is being designed to bypass that grid entirely. The reasons are physical, not philosophical. Heavy-duty gas turbine slots from the major OEMs are filling out toward the end of the decade, federal permitting reform is stuck in the Senate, and the Hormuz crisis has put a hard premium on dispatchable, domestically-fueled power. The result is that AI infrastructure is no longer just a chip and data center story. It is a power generation story, and the people who build the machines have suddenly become the people who decide how fast AI can scale.