THE ECONOMICS OF ASYMMETRIC ATTRITION: A QUANTITATIVE ANALYSIS OF LOW-COST DRONE WARFARE IN THE UKRAINE AND IRANIAN SHAHED PROGRAMS (2022-2026)

The rapid proliferation of low-cost unmanned aerial systems (UAS) has fundamentally disrupted the economic calculus of modern warfare, creating unprecedented cost-exchange asymmetries that challenge traditional defense paradigms. This dissertation investigates the economics of asymmetric attrition through a quantitative analysis of low-cost drone warfare in the Ukrainian and Iranian Shahed programs between 2022 and 2026. The study employs a mixed-methods research design integrating cost-effectiveness analysis, time-series modeling, regression analysis, and comparative economic assessment using publicly available datasets from Oryx, SIPRI, ACLED, and CNAS. Key findings reveal profound cost-exchange ratios that favor drone operators: Patriot-versus-Shahed interceptions demonstrate a 190:1 cost-exchange ratio disadvantaging defenders, while Ukrainian First-Person View (FPV) drones achieve extraordinary return-on-investment ratios ranging from 2,000:1 to 250,000:1 depending on target value. Cost-effectiveness analysis demonstrates that FPV drones achieve approximately $1,036 per successful strike compared to $269,258 for Shahed systems, rendering Ukrainian decentralized production 200 to 3,000 times more cost-effective per target destroyed. Time-series analysis reveals approximately 7% monthly growth in drone employment intensity, while Shahed interception rates declined from 88.7% to 70% as saturation tactics evolved. Regression modeling (R² = 0.829) identifies target value and drone type as the most significant predictors of cost-exchange outcomes. The comparative analysis highlights fundamental differences between Ukrainian bottom-up innovation ecosystems ($300-$500 per FPV unit) and Iranian state-directed production models ($20,000-$80,000 per Shahed). These findings carry profound implications for U.S. defense acquisition strategies, force structure optimization, and Department of War budget allocation, suggesting that the economics of asymmetric attrition represent a paradigm shift in military competition requiring fundamental reassessment of current procurement and operational doctrines.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-09
DOI
https://doi.org/10.5281/zenodo.18919500
Primary Topic
Military Strategy and Technology
Type
article
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article

THE ECONOMICS OF ASYMMETRIC ATTRITION: A QUANTITATIVE ANALYSIS OF LOW-COST DRONE WARFARE IN THE UKRAINE AND IRANIAN SHAHED PROGRAMS (2022-2026)

Laszlo Pokorny
Zenodo (CERN European Organization for Nuclear Research)
Military Strategy and Technology
article

THE ECONOMICS OF ASYMMETRIC ATTRITION: A QUANTITATIVE ANALYSIS OF LOW-COST DRONE WARFARE IN THE UKRAINE AND IRANIAN SHAHED PROGRAMS (2022-2026)

Laszlo Pokorny
article en

Abstract

The rapid proliferation of low-cost unmanned aerial systems (UAS) has fundamentally disrupted the economic calculus of modern warfare, creating unprecedented cost-exchange asymmetries that challenge traditional defense paradigms. This dissertation investigates the economics of asymmetric attrition through a quantitative analysis of low-cost drone warfare in the Ukrainian and Iranian Shahed programs between 2022 and 2026. The study employs a mixed-methods research design integrating cost-effectiveness analysis, time-series modeling, regression analysis, and comparative economic assessment using publicly available datasets from Oryx, SIPRI, ACLED, and CNAS. Key findings reveal profound cost-exchange ratios that favor drone operators: Patriot-versus-Shahed interceptions demonstrate a 190:1 cost-exchange ratio disadvantaging defenders, while Ukrainian First-Person View (FPV) drones achieve extraordinary return-on-investment ratios ranging from 2,000:1 to 250,000:1 depending on target value. Cost-effectiveness analysis demonstrates that FPV drones achieve approximately $1,036 per successful strike compared to $269,258 for Shahed systems, rendering Ukrainian decentralized production 200 to 3,000 times more cost-effective per target destroyed. Time-series analysis reveals approximately 7% monthly growth in drone employment intensity, while Shahed interception rates declined from 88.7% to 70% as saturation tactics evolved. Regression modeling (R² = 0.829) identifies target value and drone type as the most significant predictors of cost-exchange outcomes. The comparative analysis highlights fundamental differences between Ukrainian bottom-up innovation ecosystems ($300-$500 per FPV unit) and Iranian state-directed production models ($20,000-$80,000 per Shahed). These findings carry profound implications for U.S. defense acquisition strategies, force structure optimization, and Department of War budget allocation, suggesting that the economics of asymmetric attrition represent a paradigm shift in military competition requiring fundamental reassessment of current procurement and operational doctrines.

Zenodo (CERN European Organization for Nuclear Research)
Rutgers, The State University of New Jersey (US), Fujitsu (United Kingdom) (GB), New Jersey City University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Military Strategy and Technology
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