Source: Digiday
Apple's decision to limit token consumption across its AI operations shows that compute efficiency has become a board-level concern at scale. The economics of training and serving large language models are forcing even well-capitalized tech giants to weigh model sophistication against operational cost. Smaller companies without Apple's infrastructure will face sharper decisions about whether to build or buy AI services. This constraint may accelerate vendor consolidation, pushing more organizations toward APIs and edge models rather than custom implementations.