The regulatory role of autophagy-related genes (ARGs) on the differentiation trajectory and immune landscape of glioblastoma remained obscure. This research identified 11 ARGs differentially expressed in glioblastomas; LASSO and Binomial regression analysis identified five core ARGs (EGFR, HSPB8, CTSB, DNAJB1, and MYC) that affect the prognosis of gliomas. Enrichment analysis suggested that ARGs can activate malignant tumor-related signal pathways, including gliomas, while biological processes regulate autophagy and apoptosis. Subsequently, based on scRNA-seq data from CGGA, this study identified that macrophage M2 dominated the immune landscapes in the glioblastoma differentiation trajectory. After consistent clustering established the ARGs-based molecular subtypes, ESTIMATE and CIBERSORT results suggested that ARGs were associated with macrophage M2 polarization and affected the prognosis of glioma. Finally, ARGs-based nomograms were established to predict the incidence and prognosis of glioma. AUC and DCA prove the validity of nomograms. In conclusion, EGFR, HSPB8, CTSB, DNAJB1, and MYC as ARGs were associated with the M2-dominated immune landscape in glioblastomas and were influential in predicting the incidence and prognosis of glioma.