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<Article>
<Journal>
				<PublisherName>University of Tehran
Published jointly with Iranian World Studies Association</PublisherName>
				<JournalTitle>Journal of World Sociopolitical Studies</JournalTitle>
				<Issn>2588-3119</Issn>
				<Volume>9</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>From Silicon to Sovereignty: MBA Students’ Views on AI’s Disruption of Global Power Dynamic</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>737</FirstPage>
			<LastPage>775</LastPage>
			<ELocationID EIdType="pii">103054</ELocationID>
			
<ELocationID EIdType="doi">10.22059/wsps.2025.395950.1520</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Farhad</FirstName>
					<LastName>Rahmatian</LastName>
<Affiliation>MBA in Global Management,
Thunderbird School of Global Management, Arizona, USA</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>05</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>This research explores how Iranian MBA students view artificial intelligence as a driver of change in global power structures. Using a mixed-methods design, it combines survey results from 394 respondents with thematic analysis of open-ended answers. The quantitative data indicate a widespread belief that AI will hasten the decline of established global powers, widen global disparities, and offer emerging economies chances for geopolitical advantage. Qualitative themes include AI as a soft power tool, concerns over technological dependence, entrepreneurial optimism, and regulatory inadequacy. The analysis situates participants’ views within broader theoretical frameworks articulated by Innis, McLuhan, Castells, and Toffler, emphasizing AI’s capacity to redefine sovereignty, governance, and economic competitiveness. Statistical tests highlight how demographic variables, such as employment sector and academic status, significantly influence attitudes toward AI’s disruptive potential. These results underline both the optimism and anxiety among future business leaders regarding Iran’s capacity to harness AI’s transformative possibilities amidst structural and regulatory challenges.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Artificial Intelligence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Geopolitical Disruption</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Global Power Dynamics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">MBA Students</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Technological Sovereignty</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Iran</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://wsps.ut.ac.ir/article_103054_f2affca2c9e3fe50beb78bc9f22900e9.pdf</ArchiveCopySource>
</Article>
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