Executive Briefing: Where Your AI Money Actually Goes (+ the Token Saver Guide and the 15 Changes I Use)

The article explores the disconnect between AI’s promise of transformation and the reality of current product offerings, questioning how businesses are built around the cost of customer interaction. It argues that if AI is truly consequential, it should enable meaningfully different customer outcomes and pricing. The piece also delves into who captures the savings from AI efficiencies and what it takes to implement these new business models.

• AI’s transformative potential is questioned when products appear unchanged, leading to uncertainty about business model evolution.
• The cost of understanding customer problems and coordinating responses has historically shaped business decisions, including service tiers and custom responses.
• AI should enable customers to buy something different, achieving results at new price points or with enhanced attention.
• Conversations about AI should extend beyond agent management to fundamental business strategy, including customer service, offers, and value capture.
• Understanding where AI costs are visible versus hidden is crucial for accurate comparisons and strategic decision-making.
• The business built around expensive human attention is being challenged by AI, potentially democratizing access to knowledge and service.
• AI-driven efficiency gains can be captured by competitors, leading to better offers and shifting market dynamics.
• Implementing new AI-driven offers requires a focus on customer-promised evaluations and addressing organizational challenges.
  https://foxvector.com/articles/e4def056-fc8f-41ac-a686-4ba6492f959a