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

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.