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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Algorithmic Power Doctrine: Strategic Autonomy and AI Competition in the Eastern Mediterranean (2026–2035)

descriptionPublicationkeyboard_double_arrow_right Report 15 Feb 2026 English Publisher:Zenodo
Authors: Papasimakis, George;

doi: 10.5281/zenodo.18646993 , 10.5281/zenodo.18646994

Algorithmic Power Doctrine: Strategic Autonomy and AI Competition in the Eastern Mediterranean (2026–2035)

Abstract

Algorithmic Power: Artificial Intelligence, Strategic Autonomy and the Multipolar World (2026–2035) This strategic monograph examines artificial intelligence as a structural driver of geopolitical transformation in the emerging multipolar system. It develops the concept of Algorithmic Power as a framework explaining how states leverage AI capabilities to shape deterrence, strategic autonomy, economic competitiveness and military doctrine. The study analyzes: AI and military transformation Strategic autonomy in the European Union The United States–China AI competition Turkey’s AI-military trajectory Greece’s strategic opportunities in algorithmic deterrence Hybrid warfare and cognitive-domain influence operations The book argues that middle powers can enhance deterrence asymmetrically through targeted AI integration in defence, intelligence, maritime security and decision-support systems. Author: George PapasimakisORCID: https://orcid.org/0009-0006-6347-7254

Keywords

Geopolitics, Artificial Intelligence, European Security, International Relations, Military Strategy, Eastern Mediterranean, Strategic Studies, Hybrid Warfare

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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