Vector and graph DBs are unreasonably effective for many search applications. They weren't invented by or for AI, but their development has definitely benefited from the association.
Deep learning techniques are tremendously helpful for pattern matching across countless dimensions and petabytes of data - super helpful for analyzing medical research results to find unexpected correlations worthy of further study. They're also not new, but AI has furthered their use and research.