The demand for electricity from AI is growing faster than the grid's bureaucratic capacity to expand. Doomberg predicts most new data centers will need to generate their own power, likely from natural gas, to bypass connection bottlenecks and avoid causing retail electricity price spikes for consumers.

To overcome energy bottlenecks, political opposition, and grid reliability issues, AI data center developers are building their own dedicated, 'behind-the-meter' power plants. This strategy, typically using natural gas, ensures a stable power supply for their massive operations without relying on the public grid.

To find power and land quickly, AI infrastructure developers are acquiring sites previously designated for green hydrogen projects. These locations, which already aggregated land, renewable power, and grid connections, can be repackaged for data centers, providing a massive shortcut in development timelines.

The immense energy demand from AI is creating a new market for "trapped" natural gas reserves that are hard to transport. Energy companies can co-locate data centers with these reserves to harness cheap, reliable power, transforming a stranded asset into a highly valuable one.

The most critical component of a data center site is its connection to the power grid. A specialized real estate strategy is emerging where developers focus solely on acquiring land and navigating the multi-year process of securing a power interconnection, then leasing this valuable "powered land" to operators.

Despite staggering announcements for new AI data centers, a primary limiting factor will be the availability of electrical power. The current growth curve of the power infrastructure cannot support all the announced plans, creating a physical bottleneck that will likely lead to project failures and investment "carnage."

Contrary to the common focus on chip manufacturing, the immediate bottleneck for building new AI data centers is energy. Factors like power availability, grid interconnects, and high-voltage equipment are the true constraints, forcing companies to explore solutions like on-site power generation.

The primary constraint on building new AI data centers isn't acquiring land or power, but securing "powered shells"—fully energized buildings with cooling and components. Supply chains for transformers and a severe shortage of accredited electricians are the true limiting factors.

The primary factor for siting new AI hubs has shifted from network routes and cheap land to the availability of stable, large-scale electricity. This creates "strategic electricity advantages" where regions with reliable grids and generation capacity are becoming the new epicenters for AI infrastructure, regardless of their prior tech hub status.