Executive Summary
The April 2026 Enterprise Technology Intelligence report highlights a critical shift: AI is moving from promise to execution and exposing gaps in cost structures, governance, and architecture.
As economic pressure mounts, enterprises are funding AI through operational trade-offs rather than new investment, forcing stricter control over spend and outcomes. At the same time, agentic AI is revealing scaling challenges, cybersecurity is becoming the control layer for AI operations, and competitive advantage is shifting from models to infrastructure, integration, and workflow execution.
The takeaway: AI value won’t come from access to models, but from the ability to govern, integrate, and operationalize systems at scale.
