Google is integrating artificial intelligence into PostgreSQL engineering while ensuring engineers remain responsible for their code contributions. This initiative aims to improve productivity and streamline processes, particularly in version upgrades, replication behavior, and production recovery. Sailesh Krishnamurthy, Google Cloud's VP of Databases, emphasized the importance of human oversight in this AI-driven approach. Between July and December 2025, Google's PostgreSQL engineering focused on logical replication, improvements to pg_upgrade, and upstream bug fixes. Logical replication allows selective database change transfers, which is beneficial for migrations and upgrades. The roadmap includes Automatic Conflict Detection and logical replication of sequences to minimize manual synchronization issues. Enterprise teams are particularly interested in these developments due to the challenges posed by write collisions and misaligned sequence values. The demand for PostgreSQL services at Google is increasing due to migration needs from Oracle and SQL Server. Recent data shows PostgreSQL's rising popularity, ranking fourth in the DB-Engines ranking and gaining 8.37 points year over year, while its competitors experienced declines.