Linear Programming (LP) is an effective method that has been developing with time as a means of providing more efficient solutions to various optimization problems and decisions under difficult circumstances. It started as a way of planning production, transport, and resource utilization, but sustainability, digital revolution, and management by data has taken its relevance to the crossroad. The study explored the value of use of LP in the contemporary world, how it is better off with new technologies, and what it could be in the future. The paper employed the desk review research technique, relying on scholarly articles, books, and research reports to follow the development of LP since its conventional application in manufacturing and energy systems to new ones in artificial intelligence, smart cities, and environmental planning. The findings revealed that LP is highly suitable in terms of saving costs, improving efficiency and sustainable development. However, it still is problematic in the sense that it is founded on simple and a priori assumptions that is not always a reflection of reality. The authors concluded that with the addition of machine learning, cloud computing, and quantum optimization, such limitations would be minimized when using LP. LP would remain significant in making intelligent, sustainable, and data-informed decisions in future.