Can India’s Banking Networks Support the Next Wave of AI?
Banks are signing AI contracts while their branch access networks still run on architectures designed for 2015 traffic patterns. AI spending in India’s BFSI sector is projected to double in 2026, according to a report by venture capital firm QED Investors. The use cases are specific and already in procurement pipelines: real-time fraud detection, compliance automation, and voice AI for onboarding and collections.
None of these workloads behaves like the traffic these networks were built to carry. That gap, between the AI ambition and the access infrastructure beneath it, is where deployments will fail quietly. Not with a system crash, but with latency that erodes fraud detection accuracy, bandwidth contention that slows compliance workflows, and wireless congestion that makes voice AI unusable at the branch level.
Why AI Breaks Legacy Network Assumptions
Every legacy branch network in Indian banking was built around one traffic model: north-south. Requests travel up to...
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