This report finds that while organizations are investing heavily in AI and feel confident about their readiness, significant gaps remain in data quality, governance, skills, and the ability to scale AI effectively. Survey results show that strong data governance and improved data integrity are the biggest differentiators for building trust, enabling AI adoption, and achieving measurable business value. Ultimately, the report concludes that AI success depends less on speed of adoption and more on fixing foundational data issues first.