Airflow has become a critical tool in data orchestration for enterprises, according to the State of Airflow 2026 report, which surveyed over 5,800 data professionals. The report highlights that Airflow is no longer just a tool for data engineers; it now supports a range of roles, including data analysts, machine learning engineers, and business experts. This broad adoption reflects its utility in creating reliable AI applications and managing complex workflows across various industries. The release of Airflow 3 in April 2025 marks a significant turning point. It introduced features tailored for AI workloads, improved developer experience, and enhanced security. Adoption rates are strong, with 26% of users upgrading within a year, and among large enterprises, almost 20% have made the switch. For Astro customers, this figure jumps to 48%. The shift towards generative AI is evident, with 32% of users deploying AI use cases in production, a number that doubles among Astro customers. Airflow is increasingly seen as a driver of revenue rather than just a tool for internal analytics. A notable 89% of users anticipate using Airflow for revenue-generating applications in the coming year. This shift in perception is transforming careers; 94% of respondents believe that Airflow skills will enhance their job prospects. The report also addresses the complexities of enterprise data stacks, emphasizing Airflow's role as a flexible orchestrator that integrates various tools without locking users into specific platforms.