Identifying and developing entrepreneurial potential is critical for fostering innovation and economic growth. Traditional methods, including psychometric tests, interviews, and experiential assessments, often face limitations in scalability, objectivity, and predictive accuracy. This chapter explores how artificial intelligence (AI) enhances recruitment and training by leveraging data-driven, adaptive, and predictive approaches. AI tools such as natural language processing, machine learning, gamified assessments, and adaptive learning platforms enable organizations to detect latent entrepreneurial traits, personalize skill development, and optimize talent selection. Case studies from startups, corporate innovation programs, universities, and accelerators illustrate practical applications. The chapter also addresses challenges, including algorithmic bias, fairness, transparency, data privacy, and long-term effectiveness. Finally, it highlights future research directions emphasizing multimodal data, cross-cultural validation, and ethical AI frameworks.