Yesterday we talked about enterprises moving from AI chat to real automation. Today, we're seeing what that actually looks like: new job titles, open-source platforms, and the infrastructure decisions that matter when AI agents become part of your payroll.
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Box CEO Aaron Levie: enterprises are hiring "agent managers"
Levie reports that a new role is emerging across enterprises: the agent deployer and manager. This person's job is identifying the highest-leverage workflows where agents can drive real value, then deploying and managing those agents within teams. It's not IT work or data science — it's a hybrid role that understands both business processes and AI capabilities.
Why it matters: Your company is about to post job descriptions that didn't exist six months ago. When "agent manager" becomes a line item in HR budgets, AI has moved from experiment to infrastructure.
Vercel just released its reference platform for building internal coding agents — the same type of system that Stripe (Minions), Ramp (Inspect), and Spotify (Honk) built in-house. Rauch's argument: off-the-shelf coding agents can't handle massive codebases or company-specific workflows, so every software company needs to build their own "AI software factory."
Why it matters: If you're still using GitHub Copilot for everything, you're about to get lapped by companies building custom agents that know their specific codebase, style guides, and deployment processes.
Replit CEO Amjad Masad announced that developers can now choose where their apps are hosted geographically. The feature targets compliance and privacy requirements — particularly useful for companies dealing with GDPR, data residency laws, or government contracts.
Why it matters: When coding platforms start competing on compliance features, AI development is officially going enterprise. Your legal team is about to have opinions about where your AI training happens.