Making AI an asset, not an expense

The piece examines how discussions about AI costs often focus on token pricing and accessing the most capable cloud model, even when that level of capability may not be required. It advocates treating AI as a strategic asset and selecting appropriate models as AI moves from experimentation to production. The author stresses the need to match model capacity to actual business needs rather than always opting for the most powerful option.

Summary written by Kernelia from the original article by MIT Technology Review. The story and its rights belong to its author.