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.

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.

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.

Patrick Moorhead and Daniel Newman break down a massive week in enterprise tech, from Google Cloud Next's full-stack AI push and Amazon's $100 billion Anthropic commitment, to Apple's leadership transition and Intel's long-awaited foundry validation courtesy of Elon Musk.

IBM outlines the path to quantum advantage, highlighting real-world validation, hybrid computing models, and the urgency of post-quantum security.

AI is now an execution race defined by infrastructure. Patrick Moorhead and Daniel Newman break down how compute shortages, energy constraints, and security risks are reshaping the race from building models to actually running them at scale. From chip supply and hyperscaler strategy to AI-native security and the growing case for regulation, this episode maps the pressure points defining what it really takes to turn AI investment into production reality.

Manufacturing SMBs are under pressure to do more with less while navigating workforce challenges and rising operational complexity. AI is shifting the industry from visibility into more autonomous decision-making.

Daniel Newman and Greg Lotko speak with Darren Surch, CEO of Interskill, about how agentic AI is reshaping enterprise IT training. The conversation explores why mainframe organizations still need deep knowledge, structured learning, and human judgment even as AI becomes a larger part of the workflow.

AI is now an execution race defined by infrastructure. Patrick Moorhead and Daniel Newman break down how compute shortages, energy constraints, and security risks are reshaping the race from building models to actually running them at scale. From chip supply and hyperscaler strategy to AI-native security and the growing case for regulation, this episode maps the pressure points defining what it really takes to turn AI investment into production reality.

Episode 300 marks a milestone moment for The Six Five Pod as AI shifts from innovation to consequence. This week, Patrick Moorhead and Daniel Newman unpack the risks of frontier models, the growing complexity of AI deployment, and the market signals that reveal where tech is heading next.