Amazon and Meta’s AI KPI Pitfall: When Token Burning Becomes a Disaster

Original: 【Tenz 科技評論】Amazon、Meta 都踩過的坑：Token 燒好燒滿，AI 導入卻反成災難？

The article warns that token usage is a poor KPI for measuring real AI adoption success.

This commentary uses Amazon and Meta as cautionary examples for enterprise AI adoption. Its core warning is that measuring success by token consumption, usage volume, or leaderboard-style activity can encourage “Tokenmaxxing” without proving real value. Companies should treat token metrics as operational signals, not business outcomes, and instead evaluate productivity, quality, cost, and workflow impact.

摘要由 AI 整理,以原文為準。