Green Zone Capital 2025–2030 Investment Thesis & Strategy White Paper (2026 Edition) outlines a long-only U.S. equities strategy focused on the physical infrastructure bottlenecks enabling AI scale: grid interconnection and transmission upgrades, power delivery equipment, commissioning capacity, thermal management, and the emerging “context infrastructure” layer spanning memory, storage, and networking. The paper introduces Green Zone Capital’s Bottleneck-to-Ticker (BTT) screening framework—a repeatable process that converts real-world supply constraints, procurement lead times, and forced-capex behavior into investable insights. The strategy targets under-followed “scarcity specialists” positioned for structural pricing power and multi-cycle re-rating as hyperscalers and data-center operators expand capacity under constrained conditions. This publication is intended for research, education, and professional investment analysis. It provides a macro foundation, key monitoring signals, scenario ranges, and risk controls designed to support disciplined portfolio construction through the AI-driven infrastructure buildout.
Capital et al. (Tue,) studied this question.