The biggest challenge in energy isn't just generating power, but moving it efficiently. While transmission lines move power geographically, batteries "move" it temporally—from times of surplus to times of scarcity. This reframes batteries as a direct competitor to traditional grid infrastructure.

Over the last 20 years in New England's restructured market, the primary driver of higher consumer electricity bills wasn't the cost of power itself, which fell 50% inflation-adjusted. Instead, the cost of transmission and delivery infrastructure skyrocketed by 900%, fundamentally shifting the composition of consumer bills.

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.

AI companies are building their own power plants due to slow utility responses. They overbuild for reliability, and this excess capacity will eventually be sold back to the grid, transforming them into desirable sources of cheap, local energy for communities within five years.

The U.S. has plenty of power for the AI boom, but it's in the wrong places—far from existing data centers, fiber networks, and population centers. The critical challenge is not generation capacity but rather bridging the geographical gap between where power is abundant and where it is needed.

The cost of electricity has two components: making it and moving it. Generation ("making") costs are plummeting due to cheap solar. However, transmission ("moving") costs are rising from aging infrastructure. This indicates the biggest area for innovation is in distribution, not generation.

The public power grid cannot support the massive energy needs of AI data centers. This will force a shift toward on-site, "behind-the-meter" power generation, likely using natural gas, where data centers generate their own power and only "sip" from the grid during off-peak times.

Pricing electricity at thousands of physical grid locations ("nodes") is not an arbitrary complexity. The price differentials between nodes create precise financial signals that show developers the most valuable locations to build new power plants or transmission lines, helping to alleviate system congestion and improve efficiency.

To circumvent grid connection delays, infrastructure costs, and potential consumer rate impacts, data centers are increasingly opting for energy independence. They are deploying on-site power solutions like gas turbines and fuel cells, which can be faster to implement and avoid burdening the local utility system.