83% Organisations Need Infrastructure Upgrade To Support Production-grade Agentic AI, Says Report
A new research from Google Cloud says enterprises are encountering a sizable infrastructure gap as agentic AI systems move from experiments and pilots into production.
The 2026 State of Infrastructure in the Agentic AI Era report found that 83 percent of surveyed organisations believe their current infrastructure requires some level of upgrade to support production-grade agentic AI systems.
The report focuses on the different demands created by autonomous agents. Google says a single agentic prompt can initiate hundreds of downstream actions as agents independently browse, query and execute across multiple systems. The report describes production agentic workloads as persistent, stateful, and potentially long-running, requiring infrastructure that can provide access to multiple data sources while supporting continuous execution, security, and governance.
“This report isn’t just a survey of the landscape; it’s a roadmap for establishing the new standard for production-grade autonomous systems,” said vice president of Product Management at Google Cloud, Nirav Mehta.
The findings build on Google’s 2025 infrastructure research (see “Google Cloud Report Shows Infrastructure Is the Missing Piece in GenAI Strategy”), which found near-universal GenAI experimentation but focused on the infrastructure needed to move those efforts into production, highlighting data governance and integration, cost efficiency, hybrid cloud, and edge deployment.
The 2026 research shifts the emphasis to the demands of autonomous agents already moving toward production: infrastructure upgrades, governance and MLOps for continuous inference, more distributed execution at the edge, and power consumption as a factor in hardware selection.
In that sense, the new report moves the infrastructure discussion from supporting GenAI broadly to supporting agents that continuously reason and act across systems.
The report breaks the 83 percent readiness figure into several levels of required work. Twelve percent of respondents said their infrastructure requires significant fundamental upgrades, 29 percent reported major upgrades to specific core systems, and 27 percent said they need minor integration work and tuning. Another 16 percent said their infrastructure can support initial pilot agents with minimal effort. Only 17 percent reported full confidence in supporting mission-critical, production-grade agents.
Google ties that readiness gap to characteristics that differ from traditional application workloads. Agents need to maintain context across workflows and data sources, interact with systems such as ERPs and CRMs, retain longer-term memory and sustain chains of actions at scale.
Also, infrastructure must provide security and data residency controls across on-premises, edge, and cloud environments. For developer and platform teams, the report specifically points to orchestration and observability tools for coordinating multi-step workflows, managing data movement between agents and legacy systems, monitoring agent activity, and supporting human intervention.
