In 2025, the role of data teams is evolving significantly with the maturation of AI capabilities in tools like Hex, transforming how organizations leverage data for decision-making. AI analytics is enabling more staff to conduct in-depth analyses independently, reducing the burden on data teams and allowing them to focus on strategic, reusable frameworks and infrastructure. This shift necessitates a stronger emphasis on robust infrastructure, semantic models, and precise documentation to ensure reliable AI-driven insights. The concept of "context engineering" is increasingly vital as data teams scale their expertise to support wider organizational use of AI, highlighting the enduring importance of translating business strategy into actionable insights. Despite initial concerns about AI rendering data roles obsolete, this transition offers data professionals opportunities to engage in more fulfilling, high-level work, ultimately turning data teams into potent enablers of organizational intelligence and value creation in the AI era.