About this episode

Emanuel Rose discusses the issue of token waste in AI marketing and provides a playbook for reducing costs and improving efficiency.

Episode Overview: Most AI teams don’t actually have a model problem—they have a token waste problem. In this episode of Marketing in the Age of AI , Emanuel Rose breaks down why AI costs are rising, where marketing teams are quietly burning budget, and what leaders need to understand before their AI bill becomes a serious margin issue. From token-based pricing and prompt caching to retry loops and context bloat, Emanuel explains why the real issue isn’t vendor pricing—it’s workflow hygiene. He also shares a practical playbook for reducing AI waste while improving productivity, output quality, and profitability. What You’ll Learn: ✅ What AI tokens are and why your bill keeps climbing ✅ Why AI agent costs are rising across marketing teams ✅ The hidden causes of token waste in daily workflows ✅ How retry loops and context bloat destroy margins ✅ Why prompt caching can cut costs dramatically ✅ The difference between model cost and operator error ✅ How to measure cost per AI-generated deliverable ✅ Why token efficiency is becoming a procurement issue ✅ How agencies can protect margins with better AI hygiene ✅ A 5-step system to cut AI spend by 50–70% Featured Guest: This is a solo…

People in this episode

Host: Emanuel Rose

Topics covered

• AI costs
• token waste
• marketing strategies
• workflow hygiene
• cost reduction
• productivity improvement

Keywords

• AI tokens
• token waste
• marketing teams
• cost per deliverable
• prompt caching
• retry loops
• context bloat
• AI hygiene
• profitability

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