AT&T Cuts AI Costs 90% by Rethinking Orchestration at Scale

Facing 8 billion tokens processed daily, AT&T completely rethought its AI orchestration strategy, resulting in a 90% cost reduction. The telecommunications giant shifted from proprietary systems to interchangeable, selectable models, avoiding rebuilding commodity functionality. This case study demonstrates how enterprises can achieve massive scale efficiencies by adopting flexible, modular AI infrastructure rather than maintaining custom solutions.