Version 1.1 — Annotated Appendix / Supporting Evidence Notes

Companion to Baseline Framework v1.0

Last Updated: April 11, 2026

Prepared by Glemar “Glem” Barbado Melo

In collaboration with multiple AI research assistants, including ChatGPT, Claude, DeepSeek, Gemini, Meta AI, and Perplexity.

Companion Document: Baseline Framework (v1.0)

Methodological Note

This appendix provides supporting datapoints, examples, and analytical notes corresponding to the baseline framework. It was developed through the same iterative multi-model analysis and human editorial review process used for the core framework.

Supporting evidence may include programs of record, publicly reported demonstrations, analyst assessments, and open-source estimates. Where observability is limited, confidence in specific figures or claims should be reduced accordingly.

Revision History

v1.1 — Initial Appendix Release (April 2026)

Revision Policy:

Reviewed quarterly (January / April / July / October) or upon significant open-source developments (e.g., major conflict data, semiconductor breakthrough, doctrinal shift, program milestone, or autonomous-weapons incident with policy impact).

Purpose

This appendix contains supporting evidence, datapoints, contextual examples, and analytical notes for the claims presented in the baseline framework. It is intended for briefing preparation, Q&A defense, and analyst reference. Figures and examples herein are more perishable and contestable than the structural claims in Version 1.0.

Use Guidance

Use Version 1.0 For

Publication Distribution Executive briefs External reference

Use Version 1.1 For

Presentation speaker notes Q&A preparation Analyst backup Internal discussion

Executive Summary Support Notes

Core Claim

Military AI competition is multipolar and domain-specific.

Supporting Evidence / Notes

No single state demonstrably dominates across frontier AI, manufacturing, battlefield adaptation, autonomy, cyber, and governance simultaneously Open-source defense and policy analyses consistently assess differentiated strengths rather than universal dominance

Tier 1: Primary Leaders — Support Notes

United States

Claim: U.S. leads overall in frontier AI, compute access, and integrated joint-force command architectures.

Supporting Evidence / Notes

Frontier AI leadership remains concentrated in U.S.-aligned commercial / research ecosystem Continued access to top-tier semiconductor / GPU supply chains despite export controls on adversaries Major defense AI / autonomy initiatives include: Project Maven / Maven Smart System JADC2 modernization efforts Replicator Initiative [Fielding underway] Five Eyes / NATO / allied interoperability supports unmatched multinational ISR / data fusion

Analytical Caveat

U.S. industrial / manufacturing surge capacity remains weaker than China’s in some sectors

China

Claim: China is the principal near-peer competitor.

Supporting Evidence / Notes

PLA doctrine emphasizes “intelligentized warfare” Military-Civil Fusion accelerates transfer of commercial AI / manufacturing capabilities into defense sector Publicly reported or demonstrated programs include: Drone swarm experimentation [Reported demonstrations] Autonomous maritime systems Robotics production scaling Domestic semiconductor ecosystem continues improving as of Q1 2026 despite export controls

Analytical Caveat

Public demonstrations and doctrine do not confirm proven joint-force software integration or command-and-control maturity at scale

Tier 2: Strong Secondary Powers — Support Notes

Russia

Claim: Russia is among the most combat-experienced actors in tactical autonomy under denied-spectrum conditions.

Supporting Evidence / Notes

Ukraine war has driven rapid adaptation in: FPV drone employment GNSS-denied navigation / machine-vision guidance Loitering munition terminal guidance EW-contested drone / autonomy operations Open-source analysis indicates unmanned / autonomous systems now constitute a significant and growing proportion of Russian strike / fire missions, though precise figures remain contested and methodology-dependent

Analytical Caveat

Battlefield adaptation does not imply broader AI ecosystem strength or frontier-model competitiveness

Israel

Supporting Evidence / Notes

Publicly identified in open-source reporting as “The Gospel,” an AI-assisted targeting recommendation system Fire Factory artillery / fire-support planning digitization efforts AI-enabled intercept / sensor fusion improvements associated with Iron Dome modernization Defense analysts consistently assess Israel as among the most operationally mature adopters of AI-enabled targeting and decision-support systems

United Kingdom

Supporting Evidence / Notes

Defence AI Strategy implementation across MoD Defence AI Centre coordinates cross-service adoption Participation in AUKUS Pillar II AI / autonomy collaboration Royal Navy autonomous mine-hunting and maritime ISR programs

Tier 3 / Rising Powers — Support Notes

India

iDEX defense innovation challenges; DRDO autonomous systems programs (including ABHYAS aerial target drone and AI-enabled ISR integration) Defence AI Council sovereign-stack development efforts

South Korea

Agency for Defense Development (ADD) AI / autonomy programs Defense AI Center and domestic robotics / manufacturing integration

Japan

Defense Buildup Program prioritizes AI-enabled ISR / cyber / autonomous modernization

Turkey

Bayraktar Kızılelma unmanned combat aircraft STM Kargu-series loitering munition autonomy programs

Analytical Note

This appendix may be updated independently as new evidence emerges without revising the baseline framework unless structural assumptions materially change.