EPINOVA Research Signals

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Operational Control versus Systemic Connectivity:

The Emerging Structure of U.S.–China Competition under Networked Warfare

This policy brief examines the emerging structure of U.S.–China competition under networked warfare. It argues that the United States and China can shape the same cross-theater conflict environment without becoming opposing belligerents in the same war. The brief distinguishes two forms of functional centrality: the United States as an operational-control center, able to organize alliances, intelligence, bases, logistics, targeting, and scarce high-end forces across theaters; and China as a systemic-connectivity node, whose influence rests on industrial depth, energy and trade relationships, logistics alternatives, and diplomatic access. It concludes that long-war advantage will depend on the ability to combine high-end military control with sustainable production, repair, rerouting, recovery, and systemic adaptability.

From Separate Wars to Linked Battlefields: 

The Emerging Risk of Continentalized Conflict

This policy brief examines the emerging risk that formally separate conflicts are becoming functionally connected across the Russia–Ukraine war, the U.S.–Israel–Iran conflict, Red Sea confrontation, Caspian insecurity, and European support infrastructure. It argues that the current condition is not a unified war or partial battlefield integration, but advanced cross-theater coupling: personnel, air-defense expertise, maritime incidents, basing access, tanker deployments, logistics corridors, threat designations, and resource-allocation pressures are beginning to transmit effects across theaters. The brief introduces continentalization as a higher-order process in which separated conflicts become persistently interdependent through operations, personnel, technology, bases, logistics, maritime corridors, intelligence, industrial capacity, third-party nodes, and shared resource constraints. 

A Preliminary Assessment of Eastward and Northward Logistics Alternatives under Hormuz Pressure: 

The China–Russia–Central Asia–Caspian Network

This policy brief assesses whether pressure on the Strait of Hormuz is increasing the use and strategic value of eastward and northward logistics alternatives linking China, Russia, Central Asia, and the Caspian Sea. It argues that these routes provide redundancy rather than a substitute for Persian Gulf maritime scale. Drawing on China–Central Asia rail data, Caspian port-system indicators, arrival–departure coupling, and Russian-flagged vessel monitoring, the brief finds evidence of more intensive corridor utilization and a distributed logistics redundancy network, while cautioning that the available data do not prove conflict causality, Iran-bound diversion, cargo composition, or final destination. 

The 14-day Kickstarter campaign is now live.

Visit the Kickstarter page to support the project and follow the campaign for updates:

https://www.kickstarter.com/projects/epinovapress/global-ai-development-and-competitiveness-assessment-framework

The Kickstarter pre-launch page is now live. Follow the project to be notified when it launches.  

The Kickstarter pre-launch page is now live. Follow the project to be notified when it launches.

The pre-launch page for the Global Artificial Intelligence Development and Competitiveness Assessment Framework (GAID&CEF) is now live on Kickstarter.

GAID&CEF is a systematic four-volume reference series developed to understand, measure, and assess global AI development, competitiveness, governance capacity, institutional readiness, talent, risk, infrastructure, and AI power.

The project moves AI assessment beyond isolated model benchmarks by connecting technological capability with real-world deployment, economic performance, governance maturity, talent capacity, and future competitiveness.

The series is designed for policymakers, researchers, universities, think tanks, libraries, institutional leaders, and professionals working on artificial intelligence strategy, governance, and competitiveness.

Visit the Kickstarter page and follow the project for launch updates:

https://www.kickstarter.com/projects/epinovapress/global-ai-development-and-competitiveness-assessment-framework

Published by EPINOVA PRESS.

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Is the U.S.–Israel–Iran Conflict Entering Phase III?

Residual Target Depletion and the Shift from Asset Destruction to Functional Disruption

This policy brief assesses whether the U.S.–Israel–Iran conflict is entering a third phase and introduces Residual Target Depletion (RTD) as a framework for understanding how protracted conflict changes the strategic value of remaining targets. It argues that repeated destruction, disablement, hardening, dispersion, substitution, and exposure reduce the marginal return from further disruption of previously exposed fixed assets, shifting strategic competition from asset destruction and recovery denial toward functional disruption. A genuine Phase III would therefore be defined not simply by higher strike intensity, but by sustained competition over the distributed functions that preserve residual operational continuity. 

Khamenei’s Funeral as a Geopolitical Roll Call: 

The Emerging Middle East–Eurasia Order

This policy brief examines Ayatollah Ali Khamenei’s funeral as a geopolitical roll call of the emerging Middle East–Eurasia order. It argues that the event reveals a network rather than a bloc and distinguishes among state diplomacy, religious authority, and state–wider response divergence. By comparing expected and actual participation, representative level, expanded participation, unresolved absence, and wider responses, the brief shows how ceremonial diplomacy can expose strategic autonomy, political risk, external pressure, corridor connectivity, and cross-system relationships. Pakistan emerges as a major bridge node, while the broader pattern points to an order defined by partial alignment, strategic connectivity, and contested autonomy rather than a new bipolar divide.

Global Artificial Intelligence Development and Competitiveness Assessment Framework 

The four-volume series Global Artificial Intelligence Development and Competitiveness Assessment Framework has been completed and is now in press. 

The series provides a systematic examination of global AI development, competitiveness, and AI power, exploring how AI capabilities are built, deployed, measured, governed, and transformed into durable national, institutional, and strategic power. 

Global AI Power Mapping: 

Domains, Alliances, and Rule Spaces

This policy brief develops a domain-based framework for mapping global AI power beyond public model rankings, firm valuations, or market share. It argues that AI power is distributed through overlapping domains shaped by states, platforms, cloud infrastructure, data regimes, standards, capital networks, language communities, industrial systems, public institutions, and security architectures. The brief identifies seven proposed AI power domains—the U.S.-Backed AI Domain, China-Backed AI Domain, EU Regulatory Domain, India Service and Language Domain, Gulf Capital and Compute Nodes, Russian Sovereign Security AI Domain, and Global South AI Application Zones—and examines how overlap zones may become key arenas of AI infrastructure, standards, localization, data governance, and geopolitical competition. 

AI Capability Stratification:

A Framework for the Future Distribution of AI Power

This policy brief develops AI Capability Stratification as a structural framework for understanding the future distribution of AI power. It argues that public-facing AI represents only the visible surface of a broader capability structure, while deeper AI systems will emerge through institutional embedding, proprietary data, operational control, resource authority, and differentiated rule conditions. The brief organizes future AI capability into three domains—Surface Intelligence, Deep Intelligence, and Dark-Domain Intelligence—and seven analytical layers that explain how AI power may stratify across access, data, authority, specialization, real-world interfaces, and rule space.

Beyond Model Capability: 

A System-Level Framework for AI Power

This policy brief develops a system-level framework for understanding AI power beyond model capability alone. It argues that real-world AI power depends on the interaction of six dimensions: model capability, data quality, resource access, authority, real-world interfaces, and rule space. The brief introduces the AI System Power Index (ASPI) as a conceptual and partially operationalized structure for assessing how AI systems become consequential when embedded in institutions, infrastructure, markets, platforms, or government functions. 

From Wartime Leverage to Post-MOU State Capacity:

Iran’s Reconstruction, Institutional Recovery, and Strategic Network Rebalancing

This working paper examines whether Iran can convert wartime leverage into durable post-MOU state capacity. It argues that the reported U.S.–Iran MOU may reduce direct escalation but does not resolve the wider conflict system involving U.S.–Iran bargaining, Iran–Israel deterrence, U.S.–Israel alliance management, sanctions sequencing, Hormuz governance, and proxy discipline. The paper frames Iran’s post-MOU challenge as a strategic conversion problem: transforming wartime endurance into reconstruction, institutional recovery, managed external leverage, disciplined proxy governance, and sustainable strategic positioning between Eastern alignment, Western-linked recovery channels, and national autonomy.