This review explores the complexities of treatment intensification in metastatic hormone-sensitive prostate cancer (mHSPC), emphasizing the limitations of using disease volume and metastatic timing as sole prognostic factors. Current algorithms focus on clinical factors like ECOG, comorbidities, and patient preferences, yet lack biomarkers for more individualized therapy. By examining prognostic indicators - clinical, analytical, pathological, molecular, and imaging - this article highlights the importance of a personalized approach. Multimodal strategies and predictive biomarkers are proposed to optimize therapy selection between doublet and triplet regimens, ultimately improving patient outcomes. Future trials incorporating emerging biomarkers may provide the basis for precision treatment in mHSPC, shifting management beyond conventional classifications.