Only 28% of AI use cases in infrastructure and operations fully meet ROI expectations, per Gartner, and 20% fail outright. Writing at CIO.com, a technology leader serving as both CIO and CDO argues that the gap isn’t technical, it’s organizational. The core argument on AI transformation<\/a> is that model selection and tooling are table stakes; what actually determines whether AI moves out of the pilot stage is data literacy, process redesign, and employee adoption done deliberately and in sequence.<\/p>\n The organizations stuck in pilot purgatory, spending heavily while ROI stays theoretical, almost always share one trait: they treated AI as a technology deployment rather than an operating model change. If your AI program is measured by the number of pilots launched rather than the number of processes durably changed, this story is about you. The CIOs who are on the other side of this problem didn’t pick better models; they built organizational readiness before they scaled.<\/p>\n The argument holds, with one important caveat worth naming. The piece is published on a platform whose editorial identity is built around the CIO as strategic operator, which tilts the framing toward change management heroics and slightly away from the harder structural reality: many organizations fail at AI adoption not because they skipped change management but because their underlying data is genuinely not ready to support the use cases they chose. Governance and adoption matter enormously, but sequencing data quality work before process redesign is the step most organizations still underweight, and the article gestures at it without pressing on it.<\/p>\n The leading indicator worth watching in your own organization is the ratio of AI-related training spend to AI-related infrastructure spend. Most enterprises have that ratio inverted by a wide margin. The CFO sees the compute bill; the change management investment is buried in project budgets or simply absent. When that ratio starts to close, the pilot-to-production conversion rate tends to follow. I’d revise this view if organizations with high infrastructure spend and minimal change management investment started showing durable ROI at scale, but the Gartner number suggests that isn’t happening.<\/p>\nWhat this means for your business<\/h2>\n