{"id":1060,"date":"2025-06-17T16:01:41","date_gmt":"2025-06-17T16:01:41","guid":{"rendered":"https:\/\/pacific.ai\/staging\/3667\/?p=1060"},"modified":"2026-03-03T08:22:51","modified_gmt":"2026-03-03T08:22:51","slug":"2025-ai-governance-survey-reveals-critical-gaps-between-ai-ambition-and-operational-readiness","status":"publish","type":"post","link":"https:\/\/pacific.ai\/staging\/3667\/2025-ai-governance-survey-reveals-critical-gaps-between-ai-ambition-and-operational-readiness\/","title":{"rendered":"2025 AI Governance Survey Reveals Critical Gaps Between AI Ambition and Operational Readiness"},"content":{"rendered":"
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Technical leaders knowingly prioritize AI adoption despite governance shortcomings, while smaller organizations lack regulatory awareness.<\/em><\/p>\n

LEWES, Del., June 17, 2025 – Pacific AI<\/a>, the healthcare AI governance company, today announced the results of the 2025 AI Governance Survey<\/a>, exploring how organizations are managing the risks and responsibilities of deploying generative AI systems. Conducted in April and May by Gradient Flow, the results highlight the priorities, practices, and concerns of professionals and technology leaders in this space. The results will be presented in an upcoming webinar on the state of AI governance taking place at 2pm ET on June 18.\u00a0These findings provide valuable insight into the evolving landscape of generative ai governance<\/a>, where responsible deployment and oversight are becoming critical to enterprise success. In regulated sectors such as healthcare, these gaps are particularly consequential, reinforcing the importance of structured healthcare AI governance<\/a> frameworks that align clinical safety, regulatory compliance, and operational accountability.<\/p>\n

As AI becomes foundational for modern business, governance should be top of mind. However, the results indicate that the pressure to innovate is outpacing the ability to scale AI systems safely and responsibly. Despite 75% of respondents reporting the existence of AI usage policies, only 59% have dedicated governance roles, and just 54% maintain incident response playbooks for AI-specific risks. Fewer than half (48%) of organizations are monitoring their AI systems for accuracy, misuse, or drift\u2014numbers that drop drastically in small firms.<\/p>\n

The leading barrier to effective governance is the pressure to move fast. Nearly half (45%) of all respondents\u2014and 56% of technical leaders\u2014cite speed-to-market as the top challenge, often resulting in shortcuts that compromise safety. Technical leaders, who are driving the most aggressive deployment timelines, are simultaneously those most aware of these governance shortcomings.<\/p>\n

Other key findings show:<\/p>\n