Telecom AI fails at the pilot-to-production gap. Success depends less on model accuracy and more on robustness, integration, and operator trust in live networks.

Most telecom AI programmes fail before modelling begins because data isn’t ready. Volume hides fragmentation, quality issues, and weak ownership — problems AI exposes at production scale.