Stop Measuring AI Productivity. Start Measuring AI Outcomes. [Forbes]
JP Morgan Chase & Co. (JPM)
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Source: Forbes
It is the right question, but most organizations are measuring in ways that do not reflect real business impact. Enterprise AI investment is accelerating rapidly, and pressure to justify that investment is growing just as quickly. Yet only 14% of CFOs in a recent survey report a clear, measurable impact from their AI initiatives. A Duke University study of nearly 750 executives points to what researchers describe as a “productivity paradox”: companies report meaningful gains from AI, but when those claims are tested against revenue and employment data, the real-world impact is significantly smaller across every major industry. There is a straightforward explanation for this gap; it is not that AI doesn't work. It is that most organizations are measuring the wrong things at the wrong time and applying expectations that do not align with how value is created. Stop Measuring AI Productivity Instead Of Outcomes The most common mistake I see is treating time saved as the primary me
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