Telecom enterprise insider: AI agent rollout is slow, token costs and savings still unmeasured
JoLagoni2 · reddit · 2026-10-17
An employee at a large telecom enterprise describes how traditional companies are deploying agentic AI: weak internal AI/data engineering teams mean reliance on vendors offering pre-built solutions targeting specific outcomes; rollout is very slow, mostly due to fragmented domain and outcome ownership. The company struggles to even get use cases going, let alone assess business viability — there's no actual token cost measurement or measured savings yet. Focus areas are faster customer support and internal operational automation. The author asks how other mid/large enterprises are doing on rollout speed, maturity, opex vs outcomes, and deployment focus.
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