Enterprise AIStratechery

An Interview with Google Cloud CEO Thomas Kurian About the Agentic Moment

Thursday, April 23, 2026Read original

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“Google itself was running on the same infrastructure as Google Cloud”

Key takeaways

Google Cloud emphasizing unified architecture with real production use cases, not just pilots
Google allocating 50% of capex to Google Cloud, running same stack internally as external customers
Shift from theoretical AI applications to agents running at scale, with security as key differentiator

Why this matters for operators: Enterprise companies evaluating cloud/AI infrastructure vendors

I cover AI×GTM intelligence like this every Wednesday.

Enterprise AIn8n Blog

n8n will be embedded as fully managed environment within SAP's Joule Studio on Business AI Platform
Integration provides visual AI workflow orchestration for SAP developers with built-in identity, access control, and compliance
Partnership positions n8n within SAP ecosystem alongside SAP Build and Integration Suite for agentic workflow capabilities

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Enterprise AIOpenAI

OpenAI creating separate entity (DeployCo) specifically for enterprise AI deployment
Implicit acknowledgment that frontier AI models alone don't translate to business value without implementation support
Signals growing market for AI implementation/consulting services as distinct from model development

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AI×GTMHello OperatorVictor's pick

cool thesis and also lots of great links here

Article title suggests contrarian view that AI could positively impact NRR, contrary to fears about AI reducing expansion revenue
References ServiceNow 2026 data and State of Martech 2026 report as potential evidence sources
Includes podcast interview with Tim Sanders from G2, likely discussing market trends and vendor landscape

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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.