Scaling agentic AI demands a strong data foundation - 4 steps to take first
Nobody talking about data infrastructure. Everyone is focused on model weights—but your agents won't scale without it.
Why it matters
As enterprises race to deploy agentic AI, foundational data capabilities are becoming a critical bottleneck. McKinsey's four-step framework addresses the infrastructure gap that most organizations overlook when building for scale.
The key facts
7 to knowMcKinsey identifies 4 coordinated steps for data foundation building
Framework connects strategy, technology, and people
Focus: foundational data capabilities for agentic AI scaling
Published Apr 21, 2026 — timely for enterprise AI planning
McKinsey identifies four coordinated steps for data foundation building
Focus area: foundational data capabilities for agentic AI scaling
Published April 21, 2026
Go to the source
ZDNet AIzdnet.com
Publisher excerpt: McKinsey identifies four coordinated steps that connect strategy, technology, and people to build strong foundational data capabilities.