Rising API costs are forcing enterprises to scale back their generative AI usage. After an initial surge in adoption, firms now prioritize efficiency over raw capability to protect margins. This shift pushes developers toward smaller, cheaper models. Practitioners must now balance performance against the high operational overhead of large-scale deployments.