Embracing Digital Transformation

The episode offers a handful of serviceable change management observations (fear-based momentum, governance risk of shadow AI usage, start with one POC) but the density is low - long stretches of agreement and platitude separate the useful points, and most ideas are standard consulting advice reapplied to AI without deeper development.

“we get in these cycles of fear based momentum, right? We're driving things forward because we're scared of what might happen if we don't. And, and that's not a recipe for success because we haven't decided, we haven't figured out why we're doing the thing to begin with”

“we have no governance, we have no structure, we have no policy, we have no regulation. And so therefore data is at risk because we're using technology that has access to systems and information that might be confidential”

The episode recycles extremely familiar frameworks - Kodak as cautionary tale, cloud vs. AI adoption parallels, 'boil the ocean' (which the guest himself flags as overused), and 'start small and prove a POC.' There is no contrarian or first-principles thinking; virtually every claim has circulated widely for years.

“Instead of trying to boil the ocean, to use a, uh, overused term, right, let's. Let's find that one thing and then let's use that as our proof of concept”

“Kodak Kodak, who. The young generation doesn't even know who Kodak is, right? Kodak was the biggest, one of the biggest companies in the world. Completely gone in, in a decade”

Jared Lucien is a genuine practitioner with 15 years running a technology consulting firm and prior experience advising billion-dollar enterprises, which is respectable; however he is a mid-market consultant rather than someone who has personally led AI transformation at scale inside a large organisation, limiting the depth of first-hand operational insight.

“most of those organizations that I worked with over the years were uh, what I would consider enterprise level, north of a billion dollars in revenue”

“I've been running this business now for about 15 years”

The episode is almost entirely abstract; the one concrete statistic (MIT's 95% failure rate) is cited without source detail and not analysed, and the employee adoption percentages (10%, 50%, 90%) are presented as personal guesses with no backing data. No named client examples, dollar figures, timelines, or case studies appear.

“The study came up from MIT, right. 95% of AI initiatives are not meeting business goals, uh, that were originally established”

“I would say a year ago was probably 10%. That number today, well over 50%. And I would say a year from now it's probably going to be in the 90%”

The host occasionally frames a usefully direct question ('What gives you cred to tell an executive how to do change management?') but undermines the conversation by consistently validating answers, answering his own questions in long monologues, and using guest time to promote his own book and show brand; there is no meaningful pushback on any claim.

“I love how you said that because it's the moniker of my show, Leveraging People, process, policy and technology for effective change. Uh, so there you go. Thank you, Jared.”

“That was incredible, right? Yeah.”