Entrepreneurial decision-making is inherently complex, shaped by uncertainty, risk perception, and cognitive biases. The integration of artificial intelligence (AI) offers novel opportunities to enhance decision quality, mitigate biases, and support adaptive risk-taking. This chapter explores how AI tools—including predictive analytics, natural language processing, and simulation models—provide insights into entrepreneurial behavior, opportunity recognition, and resource allocation. It examines theoretical foundations of risk-taking, behavioral biases, and decision-making under uncertainty, highlighting how AI augments human judgment without replacing intuition or creativity. Practical applications, case studies, and emerging trends demonstrate AI's potential to improve venture outcomes, enhance strategic flexibility, and promote inclusive entrepreneurial ecosystems. Ethical considerations, data governance, and algorithmic transparency are also discussed.