Research on Investment Decision Optimization of Real Estate Projects under the Transformation of Population Structure and AI Empowerment

With the profound change of China's population structure, the trend of aging, urbanization and family structure miniaturization has significantly reshaped the demand pattern of the real estate market, and the traditional investment decision-making model has been difficult to cope with complex changes. This paper focuses on the transformation of population structure and the integration of AI technology, deeply analyzing the impact of age structure, urban-rural structure, and family structure changes on real estate demand. Combining practical cases to compare the differences between traditional and AI decision-making models, it reveals the optimization mechanism of AI in demand recognition, risk prevention, and other aspects. A precise investment strategy and organizational process optimization plan based on population profiling was developed, and it was confirmed that the integration of the two can reduce demand forecasting error rate by 37%, increase regional selection return rate by 22%, and improve product matching by 29%. This provides a theoretical basis and practical path for real estate companies to achieve scientific investment decisions in the new population situation.