How Leading Enterprises Really Measure Gen AI ROI
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Key Takeaway
Enterprises running Gen AI for 18 months straight – across CFO scenario modeling, supply chain, and cybersecurity – report 96% favorable results and a tripling of planned investment, numbers that look nothing like the 95% failure rate MIT's study claimed. The gap comes down to measurement: MIT set a short-term, direct-spend threshold that mirrors the Soviet nail quota problem, where hitting the metric and delivering real value have almost nothing to do with each other. If you are deciding how to evaluate your own AI spend, stop asking whether it returned millions this quarter and start asking whether your organization will be competitively exposed in three to ten years if you pull back now.
Enterprises running Gen AI for 18 months straight – across CFO scenario modeling, supply chain, and cybersecurity – report 96% favorable results and a tripling of planned investment, numbers that look nothing like the 95% failure rate MIT's study claimed. The gap comes down to measurement: MIT set a short-term, direct-spend threshold that mirrors the Soviet nail quota problem, where hitting the metric and delivering real value have almost nothing to do with each other. If you are deciding how to evaluate your own AI spend, stop asking whether it returned millions this quarter and start asking whether your organization will be competitively exposed in three to ten years if you pull back now.
Originally reported by PYMNTS.com. Read the full story here.
