Despite 77% of data leaders expressing excitement about AI's potential, only 3% prioritize it due to its integration being more behind the scenes than as headline initiatives, according to insights from data leaders at HubSpot, Wellthy, and Harvest Hosts. Stephen Moseley from HubSpot notes that AI accelerates development work through tools like Cursor and Claude Code, while Kelly Burdine from Wellthy emphasizes its use in generating YAML files and exploring codebases. Brent Driscoll from Harvest Hosts highlights AI's role in classification and extraction tasks. The discussion also touches on using AI to support business users, the importance of a semantic model, and the challenges of balancing AI priorities with other tasks. Leaders share advice on integrating AI, emphasizing the need for leadership approval and demonstrating value through small successes. They express excitement over projects like real-time exploration of unstructured data and automating analytics engineering, underscoring AI's transformative impact on development workflows and data exploration.