دانشگاه رازی مطالعات اقتصاد سیاسی بین الملل 2383-3602 9 1 2026 05 22 The Role of Artificial Intelligence in the Transformations of the International Economy نقش هوش مصنوعی در تغییرات اقتصاد بین‌الملل 1 24 4219 10.22126/ipes.2026.9995.1634 FA تیرداد تقی پور جاوی دانش‌آموخته دکتری روابط بین‌الملل، دانشکده حقوق و علوم سیاسی دانشگاه علامه طباطبایی، تهران، ایران. 0000-0001-8959-4236 حسین سلیمی استاد روابط بین‌الملل، دانشکده حقوق و علوم سیاسی، دانشگاه علامه طباطبایی، تهران، ایران. 0000-0002-9330-4606 Journal Article 2023 12 13 Artificial Intelligence (AI) has evolved from an aspirational concept into a transformative technological paradigm that is reshaping global economic structures. This study investigates the multifaceted impacts of AI on international economic dynamics, emphasizing its influence on productivity, labor markets, trade systems, institutional governance, and the global distribution of power. Grounded in the Endogenous Growth Theory, the paper adopts an analytical-descriptive methodology based on extensive library and documentary research. The findings reveal that AI functions as both an enabler and a disruptor: it enhances efficiency and innovation while simultaneously generating new inequalities and institutional challenges. Specifically, AI drives structural shifts in five domains—international trade and development, institutional adaptation, productivity and efficiency, employment transformation, and power redistribution. Ultimately, the study concludes that AI is not merely a technological innovation but a systemic force capable of redefining economic interactions, governance frameworks, and competitive hierarchies at the global level. Over the past decade, AI has emerged as one of the most influential determinants of global economic transformation. Its capacity for autonomous decision-making, predictive analysis, and large-scale automation has redefined how production, trade, and finance operate across borders. Scholars increasingly argue that AI represents the “engine of growth” in the 21st-century international economy, shaping not only business models but also geopolitical and institutional configurations. This paper seeks to address a central question: How does the technological evolution of artificial intelligence alter the structure and dynamics of the international economy? By situating this question within the broader discourse on globalization and technological innovation, the study explores how AI-driven processes affect employment, trade flows, governance mechanisms, and power distribution among nations. <strong> Theoretical Framework</strong> The study employs Paul Romer’s Endogenous Growth Theory (1990) as its conceptual foundation. Unlike exogenous growth models that attribute development to external inputs, this theory posits that innovation, knowledge, and human capital are internal engines of economic expansion. Within this framework, AI acts as an endogenous technological driver that accelerates innovation cycles, enhances labor productivity, and fosters knowledge diffusion. By augmenting research and development (R&D), AI strengthens human capital formation and creates increasing returns to scale, leading to sustainable economic growth. Moreover, AI’s analytical and computational capacities enable economies to internalize knowledge creation, making it a fundamental mechanism for continuous technological advancement and global competitiveness. <strong> Methodology</strong>  This research adopts a qualitative, analytical-descriptive approach. Data were collected from a broad range of sources, including peer-reviewed journal articles, policy papers, institutional reports, and international databases. The analysis integrates comparative evaluation of global investment trends in AI, adoption rates across industries, and labor market shifts between 2013 and 2022. The study emphasizes conceptual interpretation and synthesis over statistical quantification, focusing on the causal relationships between AI diffusion and macroeconomic transformation in the global context. <strong> Results & Discussion</strong> <strong>4.1. AI and Global Trade Development</strong> AI optimizes logistics, supply chains, and customs management, reducing transaction costs and enhancing trade efficiency. Machine translation, predictive analytics, and algorithmic forecasting facilitate cross-border business and international market integration. However, the so-called “modern productivity paradox” suggests that the measurable macroeconomic benefits of AI adoption may lag behind its rapid technological diffusion. 4.2. Institutional and Governance Transformation: AI challenges traditional institutional frameworks and necessitates adaptive regulatory architectures. Emerging global initiatives—such as the European Union’s Artificial Intelligence Act (2021)—illustrate the need for ethical, transparent, and harmonized governance systems. The rise of “machine economies” also calls for redefined norms regarding data ownership, algorithmic accountability, and cross-border cooperation. 4.3. Redistribution of Economic Power: AI intensifies global economic competition by amplifying disparities between technologically advanced and lagging nations. The United States and China have emerged as dominant AI superpowers, leveraging technological leadership to extend their geopolitical influence. This dynamic fosters a new form of digital mercantilism, wherein technological capability becomes a determinant of economic sovereignty. 4.4. Productivity and Efficiency Gains: Empirical evidence indicates that AI adoption in manufacturing, logistics, and services leads to substantial cost reduction and performance improvement. Predictive maintenance, intelligent automation, and data-driven decision-making contribute to significant increases in productivity growth and operational scalability, potentially adding trillions of dollars to global GDP by 2030. 4.5. Employment and Labor Market Transformation: AI’s dual impact on labor markets involves both displacement and creation. Routine and repetitive jobs are increasingly automated, while new, high-skill occupations emerge in data analytics, algorithm design, and AI system management. The long-term employment effects depend on workers’ adaptability and the effectiveness of educational and reskilling programs supported by public policy. <strong> Conclusions & Suggestions</strong>  Artificial Intelligence represents a pivotal inflection point in the evolution of the international economy. It simultaneously enhances productivity and disrupts traditional market structures, redefining trade patterns, labor relations, and institutional governance. While AI-driven automation raises concerns about inequality and job displacement, it also generates unprecedented opportunities for innovation and sustainable growth. The study concludes that the future of the international economic order will depend on how effectively nations integrate AI into their development strategies while mitigating its socio-economic risks. Balanced governance, inclusive education policies, and cooperative international regulation are essential for ensuring that the benefits of AI-driven transformation are equitably distributed across the global economy. <strong>Ethical Considerations</strong> Not applicable <strong>Funding</strong> Not applicable <strong>Conflict of interest</strong> The authors declare no conflict of interest هوش مصنوعی در دهه اخیر از یک مفهوم آرمانی به واقعیتی چشم‎گیر در زندگی بشر تبدیل شده است. با پیشرفت روزافزون این فناوری، هر روز شاهد دستاوردهای جدید و شگفت‌انگیزی در زمینه‌های مختلف هستیم. نفوذ و تأثیر هوش مصنوعی در ابعاد فردی، ملی و جهانی به حدی است که آگاهی و پیش‌بینی اثرات آن برای جوامع بشری ضروری شده و به ابزار مهمی برای رقابت تبدیل گردیده است. در سال‌های اخیر، تلاش‌های گسترده‌ای برای بهره‌برداری از توانمندی‌های هوش مصنوعی در حوزه‌های مختلف، به‌ویژه در اقتصاد، با نتایج برجسته‌ای همراه بوده است. این پیشرفت‌ها حساسیت‌هایی را درزمینه کاربرد هوش مصنوعی در حوزه اقتصادی ایجاد کرده و موجب رقابتی شدید میان کشورها در این زمینه شده است. هدف نوشتار پیش رو بررسی تأثیرات هوش مصنوعی بر تحولات اقتصاد جهانی است. این پژوهش به‎دنبال پاسخ به این پرسش است که تکامل فناوری هوش مصنوعی چگونه بر اقتصاد بین‌الملل تأثیر می‌گذارد؟ برای این منظور، از منابع مختلف شامل اسناد کتابخانه‌ای و اینترنتی استفاده شده و روش تحلیلی برای تدوین پژوهش به کار رفته است. نتایج نشان می‌دهد که در چهار حوزه اصلی ازجمله اشتغال و بیکاری، تجارت و توسعه بین‌المللی، الگوی توزیع قدرت اقتصادی و نهادها و رژیم‌های بین‌المللی هوش مصنوعی تأثیرات عمیقی گذاشته است که درنهایت به تحولات اساسی و تکاملی در این حوزه‌ها منجر شده است. https://ipes.razi.ac.ir/article_4219_ec3fa5eca60e5eb5f9a504ef313488d4.pdf