Green Zone Capital - Investment Thesis White Paper (2026)

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-20
DOI
https://doi.org/10.5281/zenodo.18318848
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green Zone Capital - Investment Thesis White Paper (2026)

Ahijah Ireland, Green Zone Capital
Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
article

Green Zone Capital - Investment Thesis White Paper (2026)

Ahijah Ireland, Green Zone Capital
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.