"Cisco's recent AI Readiness Index shows that in EMEA, only 11% of companies are completely ready for AI compared to 13% worldwide. This is a number that hasn't changed much in three years. While 82% of organizations intend to use AI, and 44% anticipate a significant increase in AI workloads within a year, only 30% believe their current IT infrastructure can support today's AI technologies."
"While much of the industry discussion has focused on compute, data, and models, the rise of real-time agentic AI exposes a critical, and often overlooked gap: the need for future proofing the very foundation for this new era. AI is network-bound. As always-on models demand up to 100 times more compute, storage, and bandwidth, traditional networks risk becoming bottlenecks both on capacity, and latency. For AI tasks that happen instantly, like self-driving cars or automated stock trading, even tiny delays can cause problems."
AI adoption intentions are high, but readiness remains low: only 11% of EMEA companies and 13% globally are fully prepared, a figure unchanged in three years. Most organizations plan to use AI and expect rapid workload growth, yet only 30% trust current IT infrastructure to support today's AI technologies. Real-time agentic AI places heavy, network-bound demands, potentially requiring up to 100 times more compute, storage, and bandwidth and imposing strict low-latency requirements. Modern network infrastructure must be fast, secure, and scalable, with purpose-built AI superhighways to handle distributed workloads across core, cloud, and edge and avoid bottlenecks.
Read at Techzine Global
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