Agentic AI: Risks, Opportunities, and the Race Between Capability and Control - An OODA Network Survey
Daniel Pereira
The Q2 2026 OODA Network Survey reveals a community that is simultaneously enthusiastic about Agentic AI’s transformative potential and nearly certain that a major AI-driven enterprise incident is approaching on an accelerated timeline.
Rather than expressing fear of the technology itself, one of the strongest signals throughout the survey is that OODA Network members largely assume it will become foundational. The debate is now centered on how organizations can safely operationalize increasingly autonomous AI systems before governance, security, and organizational structures fall behind.
The High-Level Summary
The survey results consistently point to governance, orchestration, cybersecurity, and organizational redesign - not model performance - as the critical determinants of success. OODA Network Member Florian Wolf offered this prescient insight: “The greatest risk of Agentic AI is that organizations try doing things the same way as before, just faster, instead of rethinking how they should operate from first principles.”
The OODA Network Q226 Survey - Agentic AI: Risks, Opportunities, and the Race Between Capability and Control - suggests the OODA Network has largely moved beyond first-generation debates over whether AI will transform enterprises. Participants instead assume that transformation is underway and are focused on the architectural, governance, and organizational implications of deploying increasingly autonomous systems.
The survey’s most significant insight is its treatment of risk. Respondents do not primarily fear increasingly capable models; they fear increasingly complex socio-technical systems in which autonomous agents interact across enterprises, creating new dependencies, feedback loops, and governance challenges.
Overall, the survey results reflect a shift from viewing AI as an isolated technology problem to understanding it as an enterprise operating-system challenge requiring new forms of leadership, oversight, and institutional design.