A new global report from AI-ready data and analytics provider Alteryx, Inc. reveals that while enterprise AI investments are surging, organizations face a critical hurdle in converting AI capabilities into tangible business outcomes. The “2026 IT Leader Research: The State of AI Ownership, Agents, and ROI” research, based on a questionnaire given to 1,400 IT professionals, highlights that 7 out of every 10 enterprises are forecasting an increase in AI spending. Meanwhile, around a third of these organizations are achieving moderate to very good ROI from their existing AI investments. The findings also reveal that more than half of the companies admit their ability to incorporate vital business information in AI processes is weak at this stage – that such things as company-specific procedures guidelines boundaries, and the like, cannot be easily integrated into AI processes. Also, it is reported that only 18 of 100 companies offer business users a completely self-service means of accessing their data while, as a result, domain experts who have the necessary knowledge can only depend on technical teams which in turn, further slows down the AI adoption process.
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Addressing this disconnect between technology deployment and enterprise execution, Andy MacMillan, CEO of Alteryx, stated: “Our research highlights a growing gap between AI ambition and enterprise-scale execution. Organizations have proven they’re willing to invest in AI, and many are already seeing returns. But scaling AI requires more than better models. It requires making the business knowledge people use every day available to the systems making decisions.” He further concluded: “The organizations creating lasting value from AI will be the ones that operationalize their business logic so it becomes visible, governed, repeatable, and ready for AI.”
