This paper explores the transformative potential of Artificial Intelligence (AI) in project management, focusing on decision-making and risk management. It highlights how AI can analyze vast amounts of data to create personalized messages, recommendations, and real-time interactions, enhancing consumer engagement and satisfaction. The paper discusses the future potential of AI in shaping personalized marketing experiences, emphasizing the importance of responsible implementation to ensure positive outcomes for both brands and consumers. In the context of project management, the paper delves into the challenges of decision-making and risk management, such as data analysis, unforeseen circumstances, and human limitations. It introduces Machine Learning and Deep Learning as powerful tools that can enhance decision-making and planning within complex projects. Machine Learning algorithms can analyze historical project data to identify patterns and trends, enabling better resource allocation and scheduling. Deep Learning can handle unstructured data, providing insights from project narratives, risk reports, and stakeholder feedback. The paper also explores how AI can assist in risk management by identifying and prioritizing potential risks early in the project lifecycle. AI can analyze historical data, industry reports, and external factors to predict risks and suggest mitigation strategies. It can create realistic simulations of project outcomes under various scenarios, allowing for proactive planning and contingency development. However, the paper acknowledges the limitations and ethical considerations of AI in project management. Data bias and the need for human oversight are significant challenges. Project managers must critically evaluate AI recommendations and ensure they align with project goals and ethical principles. Ethical considerations, such as transparency, accountability, and potential job displacement, are also addressed. The paper concludes by emphasizing the importance of responsible implementation, including focusing on high-quality data, fostering human-AI collaboration, and prioritizing continuous monitoring and improvement. By addressing these challenges and adopting responsible practices, project managers can harness the power of AI to enhance decision-making, mitigate risks, and achieve project success.This paper explores the transformative potential of Artificial Intelligence (AI) in project management, focusing on decision-making and risk management. It highlights how AI can analyze vast amounts of data to create personalized messages, recommendations, and real-time interactions, enhancing consumer engagement and satisfaction. The paper discusses the future potential of AI in shaping personalized marketing experiences, emphasizing the importance of responsible implementation to ensure positive outcomes for both brands and consumers. In the context of project management, the paper delves into the challenges of decision-making and risk management, such as data analysis, unforeseen circumstances, and human limitations. It introduces Machine Learning and Deep Learning as powerful tools that can enhance decision-making and planning within complex projects. Machine Learning algorithms can analyze historical project data to identify patterns and trends, enabling better resource allocation and scheduling. Deep Learning can handle unstructured data, providing insights from project narratives, risk reports, and stakeholder feedback. The paper also explores how AI can assist in risk management by identifying and prioritizing potential risks early in the project lifecycle. AI can analyze historical data, industry reports, and external factors to predict risks and suggest mitigation strategies. It can create realistic simulations of project outcomes under various scenarios, allowing for proactive planning and contingency development. However, the paper acknowledges the limitations and ethical considerations of AI in project management. Data bias and the need for human oversight are significant challenges. Project managers must critically evaluate AI recommendations and ensure they align with project goals and ethical principles. Ethical considerations, such as transparency, accountability, and potential job displacement, are also addressed. The paper concludes by emphasizing the importance of responsible implementation, including focusing on high-quality data, fostering human-AI collaboration, and prioritizing continuous monitoring and improvement. By addressing these challenges and adopting responsible practices, project managers can harness the power of AI to enhance decision-making, mitigate risks, and achieve project success.