AI applications are disrupting the $300 trillion global real estate market. Automated Valuation Models (AVMs): gradient boosted trees (XGBoost/LightGBM) trained on historical transaction data with features including location, size, age, amenities, and local market conditions. Zillow Zestimate achieves <3% median error rate on-market. Hedonic pricing models: decompose property value into characteristics using regression, quantifying the value of each attribute (extra bedroom, pool, school district quality). Market prediction: use time series models on price indices, leading economic indicators, and satellite imagery for construction activity. Property matching: vector embeddings on property descriptions enable semantic search ("modern open kitchen" finds relevant properties even without those exact words). Lead qualification: NLP on inquiry text + demographic data to score lead quality. Computer vision: detect property condition issues from listing photos, estimate renovation costs. Virtual staging: AI generates furnished room images from empty room photos at 10% the cost of physical staging.