Plant pathogenic fungi secrete small proteins known as effectors that allow them to overcome plant defenses and cause disease. Effectors that are conserved in multiple species of fungi are known as core effectors. Advances in genome sequencing technologies and Artificial Intelligence/Machine Learning tools have markedly improved the identification of protein families and the understanding of their distribution across phylogenetically diverse species. Using these technologies and tools, we identified potential core effectors in the Fusarium head blight (FHB) fungus F. graminearum by analyzing the genome sequences of 199 species that represent all 23 Fusarium species complexes. Using the program EffectorP, we identified 2,916 genes encoding putative core effectors from the 199 genome sequences. Subsequently, using the in-silico secreted protein prediction program SecretSanta, we found that 462 of the putative effector proteins are likely to be secreted. We also examined the putative effectors using functional annotation tools and the program AlphaFold to assess the diversity of their sequences and to determine whether their 3D structures are similar to known effectors, respectively. Based on these analyses, we selected 21 putative core effector genes that occur in F. graminearum and determined that seven were highly expressed during early stages of wheat head infection. Gene deletion experiments are underway to assess the role of the seven effector genes in pathogenesis of F. graminearum on wheat. Understanding the structural diversity and function of F. graminearum effectors has potential to aid development of FHB control strategies