Some advisers are telling agency owners they don’t need to know AI all that well themselves. They suggest owners go deep on AI for a month or three, then pass the day-to-day to the team and move on with life. In this episode, Chip and Gini explain why that’s backwards, and how owners who step back from AI are making a mistake.

Chip’s argument is that AI doesn’t fit the usual delegation model because it’s moving too fast and touching too much of the business to hand off after just a few months of study. Gini agrees, noting that advice which made sense six months ago is often stale today. Both connect this to credibility with the team: Chip compares the situation to a non-technical manager overseeing developers, who then gets disrespected because they don’t speak the language. Gini says her own coaching works because she’s in the tools constantly enough to give specific workable advice.

They also describe pushing AI into something closer to a personal operating system than a work tool, from Chip wanting an assistant that catches him contradicting his own past positions, to Gini’s agent that calls her out when she takes on work she said she’d delegate, telling her flatly it’s not the best use of her time. The episode closes with the advice that staying curious personally is what keeps owners sharp enough to lead a team through a tool that keeps rewriting its own rules. [read the transcript]

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