Ep 143: Building AI Fluency and Establishing Ownership of Work Design with Phil Kirschner

Phil Kirschner, founder of PK Consulting, creator of The Workline newsletter, and Transformation Partner at Lead with AI, joins Bob to unpack why so many workplace and AI transformations fail to stick. Drawing on a career that runs from cybersecurity at Credit Suisse to workplace strategy at WeWork and McKinsey, Phil explains why change management can’t just be communication, and why AI is a “resistible” change that demands a clear why and a North Star. They explore why leaders must build their own AI fluency, and admit what they don’t know, before guiding others. Phil also makes the case for a Chief of Work, an independent owner of the end-to-end employee experience, and shares how AI could make teams and careers more fluid.

Keywords

Phil Kirschner, PK Consulting, The Workline, Lead with AI, McKinsey, WeWork, Credit Suisse, change management, AI fluency, AI readiness, North Star, resistible change, Chief of Work, employee experience, workplace strategy, manager behavior, Charter AI Pulse, Parkinson’s Law, forward-deployed black belt, work redesign, flash teams, internal mobility, psychological safety

Takeaways

Change sticks when leaders define what’s broken, why it matters, and where they’re headed before they start communicating and training.
AI adoption is a resistible change: employees can resist it or simply go through the motions, so the groundwork matters even more.
Leaders can’t transform their teams until they’ve transformed their own work, and admitting what they don’t know builds trust.
Set a personal North Star for the time AI saves, or Parkinson’s Law will fill it with more low-value work.
A Chief of Work, independent of HR, IT, and real estate, can read signals across the employee experience and fix friction no single function owns.
Organizations need more than forward-deployed engineers; they need independent process experts who redesign the work itself.
Real change requires letting go of the old way before the new one is secure, which takes psychological safety.
AI could ease the coordination that makes fluid teams, short engagements, and portfolio careers so hard today.

Quotes

“I don’t think you can get people to transform whatever is in their little empire, which could just be them or my team or my department or my company until they have gone through it personally.”
“Everybody thinks of change management is communication.”
“It all comes down to individual fluency at every level is the gateway to every other level of transformation, ultimately.”
“I believe we need some kind of independent body to act as a little bit of the sort of like Fitbit of the organization to just say, I hoover up all these signals.”
“A forward-deployed engineer is only successful if they have something to engineer.”
“The person who you know is most likely to eat your lunch is not the person you think of as your peer now. It’s someone who’s gonna do it from the ground up using the kind of operating system that we’re talking about.”

Chapters

00:01 Welcome and introductions

01:02 Phil’s path from computer science to workplace strategy

06:40 Why transformations fail to stick

12:37 AI fluency, readiness, and the limits of individual productivity

14:40 Transforming yourself before your team

24:11 Setting a personal North Star for reclaimed time

26:44 The case for a Chief of Work

32:12 AI transformation leaders and the forward-deployed black belt

37:31 The trapeze metaphor and letting go of the old way

40:38 Flash teams, internal mobility, and manager incentives

42:34 Consulting models, fluid teams, and portfolio careers