AI Cost Optimization 2026 | Cut LLM & AI Agent Costs 50–90% with FinOps, TokenOps & Prompt Caching

AI cost optimization for 2026: learn prompt caching, model routing, batching and AI FinOps to cut LLM and AI agent costs by 50–90% without losing quality.Understand the AI cost paradox: model token prices may fall while total application spending rises. Learn the major cost drivers in LLM systems and practical approaches to reduce inference, retrieval, and infrastructure costs.