The race to implement AI technologies has created a significant gap between intention and implementation, particularly in governance. According to recent data from the IAPP and Credo AI’s 2025 report, while 77% of organizations are working on AI governance, only a fraction have mature frameworks in place. This disconnect between aspirational goals and practical governance has real consequences, as we’ve witnessed throughout 2024-2025 with high-profile failures and data breaches.
I’ve spent the last decade working with organizations implementing AI solutions, and the pattern is distressingly familiar: enthusiasm for AI capabilities outpaces the willingness to establish robust guardrails.