By Farrah Lakhani | Uber | Member since 2024
Many AI initiatives report strong productivity gains: hours saved, tasks automated, faster cycle times. But those metrics don’t always translate into business performance.
In our latest Forbes article, C200 member Farrah Lakhani challenges a common assumption: that time saved is a reliable measure of AI success.
As Farrah explains, efficiency is easy to track and easy to report, but it often says very little about whether value is actually being created. Without clear links to outcomes, ownership and follow-through, those gains rarely show up on the P&L.
Her article is a useful reminder that evaluation matters as much as implementation, especially for leaders looking to connect AI efforts to real business impact.
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