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How to Decide What Work AI Should Do for You: The AI Deputization Audit

Shownote

OpenAI’s Computer History and GrokBot’s “teach a task” feature point to a new phase of AI: tools that learn how you work so they can take more work off your plate. NLW introduces the AI Deputization Audit, a simple framework for deciding what to hand over,...

Highlights

This episode explores how AI is moving beyond answering questions toward taking on real responsibilities. It also considers what people and organizations must understand before they begin handing work to increasingly capable agents.
05:41
Task-specific efficiency matters more than headline price
13:40
AI’s bottleneck is shifting toward access to user context
18:44
Delegate repetitive work, preserve human judgment
23:28
Delegate what AI can verify; defend what requires judgment.
26:00
Delegate execution, but keep judgment human.

Chapters

Why AI competition now depends on speed, cost, and company leadership
00:00
As models improve, access to personal context becomes the real bottleneck
10:54
How agents learn your workflow—and why observation raises privacy concerns
16:14
Which tasks should AI handle, share, or leave entirely to you?
21:10
Putting the deputization framework to work through practical experiments
26:00

Transcript

Nathaniel Whittemore: What if I told you that figuring out what parts of your work you should be getting AI to automate was a simple math equation? This week, two new products came online that make getting AI to do work for you much simpler. GrokBot gives ...