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Applied AI·April 23, 2026·1 min read

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

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The fight for enterprise AI is shifting from raw model quality to who owns the agent platform and integration surface — Google is betting its edge is end-to-end control from Workspace to GCP. If you're standardizing on a cloud, you're also implicitly choosing an agent runtime and orchestration layer, so treat that as a first-class architectural decision, not a procurement afterthought.

Applied AI

Exclusive: Cloneable Raises $4.6M To ‘Clone’ Expert Worker Knowledge With Agentic AI For Utilities And Infrastructure

Agentic AI is going straight at institutional knowledge in regulated, asset-heavy sectors — Cloneable shadowing experts in energy and utilities is a direct attempt to turn tribal workflows into software. If you run a field-heavy operation, your real IP is process memory on the front line — decide now whether you’re the one capturing it or a vendor is.

Applied AI

Anthropic and law firm Freshfields sign a deal to develop specialized legal AI tools for document drafting, contract review, due diligence, and more (Kaye Wiggins/Financial Times)

A frontier lab wiring directly into a Magic Circle firm is the template — domain experts upstream, productized legal workflows downstream. If you’re a professional services leader, your choice is binary: co-develop the agent that replaces half your junior work, or buy it later at a margin you don’t control.