Agentic AI disrupts traditional networking, demanding a shift from static, hardware-centric models to agile, consumption-based architectures. As AI's non-deterministic nature challenges legacy systems, networks must evolve to support dynamic, high-speed, and secure agent-to-agent connections, ensuring sovereignty, observability, and compliance in a rapidly changing data-driven world.

The future of AI is likely to be distributed, necessitating robust network infrastructures. Traditional WANs are inadequate, but Network-as-a-Service (NaaS) offers a solution by providing flexible, secure, and efficient private networks.

TikTok's $600 million EU fine highlights global data privacy concerns, as nations grapple with securing digital spaces. The U.S. must modernize its cybersecurity strategy, balancing openness with protection against cyber threats. Embracing data sovereignty and innovative network solutions is crucial to safeguarding personal, corporate, and national interests in an interconnected world.