State of AI infrastructure report and the Agentic Data Cloud
What’s one of the biggest bottlenecks stopping organizations from scaling their AI initiatives? It isn’t the capabilities of today’s models — it’s their access to business context and semantic meaning.
In the agentic era, enterprises need to go beyond simply storing data to activating it with trusted context, moving from passive systems of record to proactive systems of action.
But AI agents operate with nonlinear speed; for example, a single prompt can trigger the agent to independently browse, query, and execute across multiple systems, placing stress on the underlying infrastructure. If the compute, networking, and storage layers aren't optimized for agentic AI, the data platform sitting on top of them will buckle.
It’s no wonder that, according to our State of infrastructure report, 83% of organizations believe they require infrastructure upgrades to support production-grade agentic AI systems.
To solve this problem, we introduced the Agentic Data Cloud at Google...
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