Cisco Study Warns AI Boom Will Push Enterprise Networks to Capacity Limits

The rapid adoption of artificial intelligence is putting unprecedented pressure on enterprise networks, with 70% of Indian organizations expecting AI deployments to push their campus and branch infrastructure to capacity limits within the next two years, according to a new study by Cisco and Foundry.

The research, which surveyed 3,472 IT leaders globally, found that more than half of Indian enterprises have already widely deployed generative AI, while 68% expect significant growth in the use of agentic AI over the next 24 months.

As organizations move from chatbots to autonomous AI agents, network traffic patterns are changing dramatically. Cisco estimates that AI-driven workloads will triple enterprise network traffic over the next three years, creating new demands on infrastructure originally designed for traditional applications.

Unlike conventional enterprise software, AI agents communicate continuously with databases, APIs and other AI systems, generating high volumes of east-west traffic—server-to-server and device-to-device communications—that existing workplace networks are often not equipped to handle.

The study found that Indian organizations are already feeling the impact. Around 84% of respondents said AI workloads are more sensitive to network reliability and uptime than traditional applications, while 80% cited bandwidth as a critical requirement. Latency and packet loss were identified as major concerns by 75% and 63% of respondents, respectively.

Despite aggressive AI adoption, many enterprises acknowledge that their infrastructure is not ready. More than 70% of Indian organizations said they require network upgrades, while 75% expect to hit campus and branch capacity limits within two years. Wi-Fi infrastructure is emerging as one of the biggest bottlenecks as AI applications become more data-intensive and collaborative.

The report also highlights growing cybersecurity challenges. Nearly four out of five Indian organizations said AI-related threats are evolving faster than their ability to respond, while 97% admitted they are struggling to keep pace with the changing threat landscape. Another 93% said AI-driven security incidents have already affected their organizations.

Traditional monitoring tools are also proving inadequate as enterprises struggle to gain visibility into increasingly dynamic AI traffic patterns, particularly the bursty east-west communications generated by autonomous AI agents.

Budget constraints remain a major hurdle, with 92% of Indian respondents citing funding limitations as a barrier to network modernization. Nevertheless, almost all surveyed organizations said they plan to upgrade their workplace networks to support future AI workloads.

The findings suggest that network infrastructure is becoming a critical factor in enterprise AI success. As organizations expand the use of generative and agentic AI, investments in network resilience, observability and adaptive security are expected to become as important as investments in computing power and AI models themselves.

The study was conducted between March and April 2026 and included CIOs, networking and technology leaders from organizations with more than 500 employees across Asia-Pacific, Europe, the Middle East, Latin America and North America.