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AI is entering its next phase at Google Cloud Next 2026, where the focus shifts from experimentation to real-world deployment. From April 22–24, the conversation centers on how organizations are moving beyond pilots to build production-ready AI systems powered by Gemini models, agentic workflows, and infrastructure designed to scale across the business.
Analysts Patrick Moorhead and Daniel Newman will be speaking with leaders across AI and cloud to explore what it takes to operationalize AI at scale. Coverage will highlight how companies are deploying AI across workflows, improving customer experiences, and strengthening security with platforms built for performance and resilience.
Follow along for executive insights on turning AI from early experimentation into measurable business impact.
Google Cloud Next 2026: The Agentic Enterprise Takes Shape
Jason Andersen and Mike Leone, Moor Insights & Strategy, and Brad Shimmin, Futurum, deliver their analyst recap of Google Cloud Next 2026, covering the shift to agentic enterprise workflows, Google's TPU-8 infrastructure strategy, the data platform's evolution into an agent runtime, Agent Gateway and Wiz security governance, and Google Cloud's competitive positioning relative to AWS and Microsoft heading into the second half of 2026.
Google Cloud Next 2026: The Signals That Matter for Enterprise AI
Patrick Moorhead and Daniel Newman recap Google Cloud Next 2026 live from Las Vegas, breaking down the week's most consequential signals for enterprise AI: the TPU-8 training and inference split, Google's full-stack co-design argument, the data layer's return to the center of the agentic conversation, the Wiz acquisition's integration into the agent security platform, and Google Distributed Cloud's maturation as a sovereign AI deployment path for regulated industries and governments.
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AI-Native Defense at Scale: Google Cloud's Security Strategy for the Agentic Era
Francis DeSouza, COO and President of Security Products at Google Cloud, joins Patrick Moorhead at Google Cloud Next 2026 to examine the shift to AI-native enterprise security. The conversation covers the expanding threat surface, Google's AI-powered SOC agent strategy, internal deployment results including 90% faster threat detection, and the integration of Wiz into Google's multicloud security platform.
From Infrastructure to Intelligence: How Google Cloud Is Architecting the Agentic Enterprise
At Google Cloud Next 2026, Patrick Moorhead and Muninder Sambi, VP of Google Distributed Cloud, examine the five infrastructure shifts enterprises must execute to support AI agents at production scale. From Fluid Compute and Agent Gateway to sovereign AI deployment via Google Distributed Cloud, the conversation maps the architectural decisions that determine how far agentic execution can scale.
From Models to Agents: How Enterprises Are Scaling AI with Google Cloud
Daniel Newman and Oliver Parker, VP of Global Gen AI GTM at Google Cloud, examine the enterprise AI inflection at Google Cloud Next 2026. The conversation covers the drivers behind the shift from production capability to scale production, how inference cost structures are shaping what gets deployed, vertical AI execution through industry-specific customer deployments, and the emerging FinOps framework for evaluating agent ROI against labor cost equivalents.
Agentic Infrastructure at Scale: Inside Google Cloud’s AI Hypercomputer and TPU-8 Infrastructure
Mark Lohmeyer, VP/GM of AI and Computing Infrastructure at Google Cloud, joins Patrick Moorhead live at Google Cloud Next 2026 to examine the infrastructure architecture behind the agentic era. The conversation covers the TPU-8T and TPU-8I split, the Virgo accelerator network, Managed Lustre storage performance, NVIDIA Vera Rubin integration, and the evolution of GKE into an agent-native orchestration platform built for bursty, high-parallelism workloads.
Google Cloud Next 2026: The Agentic Enterprise Takes Shape
Jason Andersen and Mike Leone, Moor Insights & Strategy, and Brad Shimmin, Futurum, deliver their analyst recap of Google Cloud Next 2026, covering the shift to agentic enterprise workflows, Google's TPU-8 infrastructure strategy, the data platform's evolution into an agent runtime, Agent Gateway and Wiz security governance, and Google Cloud's competitive positioning relative to AWS and Microsoft heading into the second half of 2026.
Google Cloud Next 2026: The Signals That Matter for Enterprise AI
Patrick Moorhead and Daniel Newman recap Google Cloud Next 2026 live from Las Vegas, breaking down the week's most consequential signals for enterprise AI: the TPU-8 training and inference split, Google's full-stack co-design argument, the data layer's return to the center of the agentic conversation, the Wiz acquisition's integration into the agent security platform, and Google Distributed Cloud's maturation as a sovereign AI deployment path for regulated industries and governments.
AI-Native Defense at Scale: Google Cloud's Security Strategy for the Agentic Era
Francis DeSouza, COO and President of Security Products at Google Cloud, joins Patrick Moorhead at Google Cloud Next 2026 to examine the shift to AI-native enterprise security. The conversation covers the expanding threat surface, Google's AI-powered SOC agent strategy, internal deployment results including 90% faster threat detection, and the integration of Wiz into Google's multicloud security platform.
From Infrastructure to Intelligence: How Google Cloud Is Architecting the Agentic Enterprise
At Google Cloud Next 2026, Patrick Moorhead and Muninder Sambi, VP of Google Distributed Cloud, examine the five infrastructure shifts enterprises must execute to support AI agents at production scale. From Fluid Compute and Agent Gateway to sovereign AI deployment via Google Distributed Cloud, the conversation maps the architectural decisions that determine how far agentic execution can scale.
From Models to Agents: How Enterprises Are Scaling AI with Google Cloud
Daniel Newman and Oliver Parker, VP of Global Gen AI GTM at Google Cloud, examine the enterprise AI inflection at Google Cloud Next 2026. The conversation covers the drivers behind the shift from production capability to scale production, how inference cost structures are shaping what gets deployed, vertical AI execution through industry-specific customer deployments, and the emerging FinOps framework for evaluating agent ROI against labor cost equivalents.
Agentic Infrastructure at Scale: Inside Google Cloud’s AI Hypercomputer and TPU-8 Infrastructure
Mark Lohmeyer, VP/GM of AI and Computing Infrastructure at Google Cloud, joins Patrick Moorhead live at Google Cloud Next 2026 to examine the infrastructure architecture behind the agentic era. The conversation covers the TPU-8T and TPU-8I split, the Virgo accelerator network, Managed Lustre storage performance, NVIDIA Vera Rubin integration, and the evolution of GKE into an agent-native orchestration platform built for bursty, high-parallelism workloads.