Agentic AI shows great potential in improving productivity and innovation, yet it faces significant trust and governance challenges. According to PYMNTS Intelligence, trust is increasing among CFOs and consumers, but many organizations remain cautious. Gartner predicts that by 2026, 40% of enterprise software will utilize task-specific AI agents, yet 62% of companies are still only experimenting. Governance and security are crucial as firms seek to establish stronger oversight before wider deployments. Cisco’s Jeetu Patel highlights infrastructure as a critical barrier, emphasizing the need for advanced computing and network capabilities. Additionally, Chad Davis from F5 stresses that trust in financial services hinges on explainable and compliant AI systems, especially in applications like personalized advice and fraud detection. To ensure sustainable innovation, organizations must prioritize governance and maintain transparent communication. The emergence of the Agentic AI Foundation signals a commitment to establishing shared standards and security, paralleling early internet development.
Source link
