To The Moon

The investment narrative around artificial intelligence is undergoing a measurable rotation. While semiconductor and GPU manufacturers captured the bulk of early-cycle returns, the current bottleneck has moved downstream — to electricity generation and data center capacity. Several data points support this thesis: Grid constraints are binding. Interconnection queues for new power capacity in major U.S. markets now extend 7 to 10 years. Major technology companies, including $Alphabet(GOOGL)$, have publicly identified grid connection as the primary constraint on data center expansion. Training clusters for frontier AI models routinely require 100+ megawatts of continuous power, a scale traditional utility infrastructure struggles to

The investment narrative around artificial intelligence is undergoing a measurable rotation. While semiconductor and GPU manufacturers captured the bulk of early-cycle returns, the current bottleneck has moved downstream — to electricity generation and data center capacity. Several data points support this thesis: Grid constraints are binding. Interconnection queues for new power capacity in major U.S. markets now extend 7 to 10 years. Major technology companies, including $Alphabet(GOOGL)$, have publicly identified grid connection as the primary constraint on data center expansion. Training clusters for frontier AI models routinely require 100+ megawatts of continuous power, a scale traditional utility infrastructure struggles to