Latest in AI

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

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.