AI and Entrepreneurship: Enablers, Obstacles, and Startups’ Role in Shaping the Future Economy

In the evolving landscape of entrepreneurship, the infusion of artificial intelligence (AI) presents a transformative paradigm, encapsulating both enablers and obstacles that shape the trajectory of startups and influence the future economy. This paper delves into the intricate relationship between AI and entrepreneurship, elucidating the catalysts that fuel innovation, the barriers that impede progress, and the pivotal role of startups as agents of change in the emergent AI-driven ecosystem. A thorough literature survey scrutinizes the current state of AI in entrepreneurship, unraveling the intricacies of startup success, challenges faced, and the impact of governmental policies on fostering AI-driven entrepreneurial ecosystems. The proposed work outlines a pragmatic methodology for addressing identified challenges and harnessing opportunities presented by AI. This encompasses strategies for seamless integration of AI technologies, collaborative frameworks for researchers and entrepreneurs, and policy interventions fostering an environment conducive to AI-driven innovation. The paper introduces an implementation model to showcase the practical application of AI in startups, outlining steps for technology selection, customization, and integration into various facets of startup operations. Results from empirical evidence and case studies substantiate the positive impact of AI on innovation, efficiency, and overall business performance. In conclusion, this paper underscores the symbiotic relationship between AI and entrepreneurship, presenting implications for the future economy and paving the way for continued research and policy development in this dynamic domain.