The AI Readiness Gap: When Adoption Comes Before Governance
summary
Survey of 406 infrastructure practitioners finds 90% of developers use AI but only 32% of infrastructure teams have AI deeply embedded across workflows, and 86% report increased pressure from AI‑accelerated development; 30% have a formal AI governance policy while 89% plan to adopt agentic AI soon. Report tracks three recommended metrics (AI error rate, percentage of policy‑governed workflows, percent AI‑generated infra) and offers a five‑step framework to automate policy, measure coverage, and reduce incidents.
AI-written summary · about
chapters (10)
- 0:00Introduction and context
- 1:10AI adoption in 2025
- 3:36Survey methodology and findings
- 4:18AI infrastructure gap revealed
- 7:29Governance paradox and challenges
- 9:59AI-generated infrastructure incidents
- 12:50Agentic AI and future risks
- 14:36Key metrics for AI governance
- 16:42Recipe for governance success
- 22:48Q&A session
related talks
52mAI Governance: The Security Perspective
28mBuilding an AI-Ready Workforce
10mHow Has AI Changed the Way We Build and Deliver Software
24mAI Governance for developers: A practical framework for deploying autonomous coding agents safely…
46mAI in Cyber: Is the Cyber Profession Ready for Its Impact?
19mInnovate w/ confidence across your AI-powered software supply chain
01h 01mAre Your Engineering Teams Prepared for the GenAI Revolution
26mLeadership in Times of AI
