JOURNAL ARTICLE
Who Lost Afghanistan? Samuel Huntington and the Decline of Strategic Thinking.
Published In: Armed Forces & Society (Sage Publications Inc.), 2023, v. 49, n. 4. P. 965 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Atkins, Will 3 of 3
Abstract
This article analyzes the strategic failures of the U.S. military withdrawal and political collapse in Afghanistan, attributing them primarily to a deficient strategic mindset shaped by an overreliance on Samuel Huntington's 1957 civil–military relations theory of objective control. It argues that Huntington's model, which strictly separates civilian political leadership from military operational command, inadequately addresses the intertwined political and military challenges of modern conflicts like Afghanistan, leading to four key issues: confusion over objectives, disjointed policy formulation, vision blindness with mismatched ends-ways-means, and a lack of military ownership for strategic outcomes. The article recommends reforming professional military education (PME) to incorporate Morris Janowitz's alternative civil–military relations theory, which emphasizes the political education of military leaders, and adopting systemic rather than systematic thinking to better integrate political and military considerations in strategy. Without such changes, the article warns, future U.S. engagements in complex conflicts risk repeating similar strategic failures.
Additional Information
- Source:Armed Forces & Society (Sage Publications Inc.). 2023/10, Vol. 49, Issue 4, p965
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2023
- ISSN:0095-327X
- DOI:10.1177/0095327X221116129
- Accession Number:171373932
- Copyright Statement:Copyright of Armed Forces & Society (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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