Agentic AI: Infrastructure, Not Ambition, Drives Scale

Agentic AI is moving into enterprise faster than the infrastructure supporting it can keep up. A survey of 650 executives shows 87% believe it's reshaping strategic priorities. However, 62% struggle with network security, managing agent identities, and protecting data. The bottom line for CIOs is building the necessary infrastructure, security, and governance to scale AI without increasing risk. Agentic AI needs low latency data access, resilient connectivity, and strong identity and governance. Without secure, observable infrastructure, scaling AI creates exposure instead of value. What's interesting is that 96% of executives state real-time AI requires robust networks. This is not a technical detail; it's an operating requirement. Agents move across applications and clouds, making the network the critical runtime. Network performance and resilience are key indicators for competitive advantage. Within 24 months, executives expect 55% of employees to work alongside AI agents. This demands resilient networks, strong identity controls, and real-time visibility of agent behavior. Organizations are now directing nearly 37% of their technology budgets to agentic AI, showing it's a priority. Companies pulling ahead are not just funding AI, they are building the necessary infrastructure. This means that for agentic AI to truly transform businesses, the underlying infrastructure must be secure and reliable.