AI costs are becoming a product and engineering problem. Practical builders need budgets, model routing, context discipline, and observability before usage scales.

As Uber and Microsoft reassess heavy AI use, rising token bills are forcing tech companies to ask whether agentic tools are delivering enough value to justify their cost

AI costs are becoming a product and engineering problem. Practical builders need budgets, model routing, context discipline, and observability before usage scales.