Artificial Intelligence and Innovation in Investment Strategy in the Telecommunications Industry
Keywords:
Artificial Intelligence. Innovation. Investment Strategy. Telecommunications Industry. Offensive-Defensive Strategy, AI Optimization.Abstract
Objective: This study aims to examine how artificial intelligence contributes to innovation and shapes investment strategies in the telecommunications industry.
Methodology: A mixed-methods approach was employed. In the qualitative phase, semi-structured interviews were conducted with 15 purposively selected telecommunications experts, and the data were analyzed through open, axial, and selective coding. In the quantitative phase, data collected from expert questionnaires were assessed for validity and reliability using CVR, Cronbach’s alpha, and confirmatory factor analysis. An advanced SWOT framework was applied to integrate findings and formulate strategic directions.
Findings: Inferential results indicate that artificial intelligence significantly reduces operational costs, improves network traffic prediction accuracy, shortens response times to system failures, and enhances personalized service delivery. Moreover, AI-driven innovation was found to have a significant positive effect on attracting investment and strengthening competitive advantage in telecommunications firms.
Conclusion: The findings support a dual strategic model of “AI-based innovation and optimization,” combining predominantly offensive growth-oriented strategies with essential defensive mechanisms to ensure risk management, security, and long-term sustainability in a dynamic industry environment.
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Copyright (c) 2026 Atena Basirat, Davood Feiz, Azimollah Zarei, Meisam Modarresi (Author)
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