Most businesses are measuring AI wrong, and it’s costing them

Businesses are increasingly realizing that their methods for measuring AI success are flawed, leading to significant costs. Amazon recently halted its internal AI leaderboard because it incentivized more tasks but delivered fewer meaningful outcomes. This trend isn't unique to Amazon; Uber exceeded its AI budget early, and Google's token usage surged dramatically. These examples highlight a broader issue: companies are spending heavily on AI without clear metrics for effectiveness, underscoring the need for better strategies to ensure AI investments deliver tangible benefits.