Alteryx Report Finds Gap Between AI Investment and Execution
Alteryx reports that 80% of organizations plan to increase AI spending despite a significant gap in translating business logic into operational AI systems.
An Alteryx report released on August 18 reveals a disconnect between corporate AI investment and actual operational execution. While 80% of organizations expect AI spending to increase over the next two years and 69% of IT leaders report moderate or significant returns on investment, over half of those leaders struggle to integrate essential business context into their AI workflows.
Alteryx found that 53% of surveyed leaders cannot effectively translate company-specific rules and operational logic into AI systems. This represents a critical failure point, as 77% of leaders identify business context as essential for accurate AI outputs. The report further notes that data access remains a barrier, with only 18% of organizations offering business users full self-service access to cloud data.
CEO Andy MacMillan stated that scaling AI requires more than better models, arguing that organizations must make the business knowledge employees use daily available to the systems making decisions. He noted that lasting value will come to those who operationalize their business logic to make it visible, governed, and repeatable.