Reviewing the Role of Artificial Intelligence in Entrepreneurial Project Management: Opportunities and Challenges

Artificial Intelligence is rapidly reshaping the landscape of entrepreneurial project management, offering unprecedented opportunities to enhance decision-making, optimize resources, and streamline project execution. This paper investigates integrating AI technologies, such as machine learning, predictive analytics, natural language processing, and computer vision, within entrepreneurial ventures, particularly for startups and small-to-medium enterprises. These organizations, which often operate in dynamic and uncertain environments, can leverage AI to automate routine tasks, identify emerging trends, improve stakeholder engagement, and reduce operational costs. Despite its transformative potential, implementing AI in project management faces several challenges, including ethical concerns, the risk of algorithmic biases, integration difficulties with legacy systems, and a significant skills gap within the workforce. The paper examines these challenges in detail while offering practical solutions for overcoming them, including adopting explainable AI models, proper data management practices, and the importance of aligning AI initiatives with business goals. Additionally, the study explores the future directions of AI in project management, such as its convergence with emerging technologies like blockchain, the Internet of Things, and augmented reality, as well as its potential to drive sustainability in project management practices. By drawing on real world case studies, the paper demonstrates both the opportunities and limitations of AI, providing actionable insights for entrepreneurs, project managers, and researchers looking to harness AI’s potential in entrepreneurial settings. Ultimately, AI is positioned to be a game changer in entrepreneurial project management, driving efficiency, scalability, and innovation in an increasingly competitive market.

کلیدواژه ها:

Artificial Intelligence ، Entrepreneurial Project Management ، Challenges and Opportunities ، Machine Learning ، Predictive Analytics