The Impact of Integrating Artificial Intelligence into Learning by Doing Concept: Economic Growth and Innovation

Abstract - To promote economic growth and innovation this paper investigates the financial outcome of incorporating artificial intelligence (AI) into experiential learning commonly referred to as learning by doing (LBD). It determines the effects of AI-driven learning approaches on skill acquisition, productivity, innovation, and cost-effectiveness across various industries by a comprehensive literature review, case studies, and theoretical framework. The results show that AI-powered tools and platforms can boost productivity to find new pathways for innovation and speed up skill development. The results proved that the hypothesis of integrating AI into LBD is positive and creating capabilities to enable workforce development, competitive advantage, and technological advancement. In addition to offering recommendations to businesses, educators, and stakeholders on applying AI to drive economic growth through experiential learning, the research also examines future trends, potential obstacles, and ethical issues. In summary, this study adds value to the expanding researches and case studies on the relationship between AI and LBD. It also helps in economic growth and provides stakeholders with information and direction on utilizing these technologies' transformative potential for long-term sustainable economic growth in the digital era. Keywords - AI, Cost Effectiveness, Economic Growth, Learning by Doing, Skill Development.