The high rate at which artificial intelligence has been incorporated in project management tools has revolutionized the planning, monitoring and execution of projects in key sectors of the United States economy. Whereas the previous research has focused on technical efficiency and project level results, there is largely little focus on the implications of the workforce. This narrative review is a synthesis of current literature to evaluate the impact of AI-based improved project management tools on the productivity of the workforce, employee satisfaction, and skills development in the U.S. setting. Based on the studies in project management, information systems, and algorithmic management, the review conceptualizes AI-enhanced project management as an algorithmic coordination that redefines the work organization and decision-making processes. The results show that AI-based predictive analytics, automation, and generative interfaces have a potential to enhance productivity via decreasing administrative workload, increasing coordination, and promoting proactive decision-making. Such gains, however, depend on organizational governance, transparency, and workforce preparedness. There is also mixed impact seen on employee satisfaction with the positive effects being related to less role ambiguity, less cognitive support, and negative effects related to increased surveillance, decreased autonomy, and increased algorithmic obscurity. Also, the implementation of AI changes the skills needs as it becomes more routine and less skillful, as well as more analytical and interpretative and relational, which may create polarization of skills in case of uneven reskilling.