Gartner Says AI Projects In I&O Stall Ahead Of Meaningful ROI Returns
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Key Takeaway
Most AI projects in infrastructure and operations are not failing because the technology is wrong – they are failing because the implementation is disconnected from how the business actually works. A Gartner survey of 782 I&O leaders found that only 28% of AI use cases fully meet ROI expectations, with the strongest predictor of success being integration into existing workflows backed by genuine executive commitment. If you are funding AI initiatives that run parallel to operations rather than inside them, you are paying for pilots that will stall before they produce anything measurable.
Most AI projects in infrastructure and operations are not failing because the technology is wrong – they are failing because the implementation is disconnected from how the business actually works. A Gartner survey of 782 I&O leaders found that only 28% of AI use cases fully meet ROI expectations, with the strongest predictor of success being integration into existing workflows backed by genuine executive commitment. If you are funding AI initiatives that run parallel to operations rather than inside them, you are paying for pilots that will stall before they produce anything measurable.
Originally reported by Gartner. Read the full story here.
