The Nexus Of AI-Driven Technologies, Green Energy, And EconomicGrowth: Insights From Pakistan’s Sustainability Transition

Authors

  • Muhammad Usman School of Economics, BZU Multan
  • Iqra Bashir School of Economics, BZU Multan
  • Muhammad Waseem Arshad NUML Multan Campus
  • Dr. Yousaf Khan NUML

Abstract

This study uses the ARDL model to capture both short- and long-termdynamics as it examines the interrelated roles of economic growth, environmental sustainability, AI-driven technology, and renewable energy usage in Pakistan. Trade, foreign direct investment, CO2 emissions, ICT adoption, patent filings, andthe usage of renewable energy are among the important variables that areexamined by four models. The results show that while investment and savings propel GDP development, unused innovations and environmental issues impedelong-term advancement. Although it needs funding and legislative changes, renewable energy has the potential to lower emissions. In order to balancesustainability along with growth in Pakistan, this research offers policymakers insights by highlighting the necessity of implementing AI-based technology, energy investments, and environmentally friendly trade regulations.

Keywords: ARDL, AI Technologies and Economic growth, Sustainable, Development, labor force dynamics

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Published

2025-02-07

How to Cite

Muhammad Usman, Iqra Bashir, Muhammad Waseem Arshad, & Dr. Yousaf Khan. (2025). The Nexus Of AI-Driven Technologies, Green Energy, And EconomicGrowth: Insights From Pakistan’s Sustainability Transition. Journal of Social Signs Review, 3(2), 1–32. Retrieved from https://socialsignsreivew.com/index.php/12/article/view/107