A new series from Douglas Ferguson on the real organizational challenges of AI adoption — premiering May 26th
“AI just made execution almost free. So why are most organizations still stuck? Because the hard part was never building the thing. It’s getting two hundred people to agree on what to build, how to govern it, and who’s responsible when it breaks. That’s the new friction.” — Douglas Ferguson
Something has been bothering me for the past year. Every organization I work with is adopting AI. The tools are getting better, the pilots are expanding, the budgets are growing. But most of them are stuck. Not because the technology doesn’t work. Because the people problems got harder.
When execution becomes almost free, every other friction in the organization gets amplified. Decision-making friction. Governance friction. Trust friction. The friction of getting two hundred people to move in the same direction when the ground keeps shifting under them
This episode is part of the Facilitation Lab Podcast. See all episodes
That’s what I’ve been calling the new friction. And it’s what our new podcast is about. New Friction is a series of conversations with leaders who are living this right now. Not thought leaders theorizing from the sidelines. Practitioners who hit the wall and built something on the other side of it. Each episode, I sit down with someone navigating the real organizational challenges of AI transformation. We talk about what broke, what they tried, and what actually worked. What we’ll be exploring
The bottleneck that moved from building to deciding
The 4x perception gap between leaders and the workforce on whether AI is delivering value
The shift from individual “AI wizards” to multiplayer organizations
The slow erosion of how the next generation of professionals learns judgment
These aren’t hypothetical problems. They’re the conversations I’ve been having with leaders at some of the most ambitious organizations in the world at our executive dinners, in our consulting work, and in late-night strategy sessions. I’ve been capturing them. And now I’m turning them into something you can listen to.
Episode 1 drops May 26th. You’ll be able to find it wherever you listen to podcasts, and on our YouTube channel. Subscribe now so you don’t miss it.
Transcript
Speaker 1 (00:05): Welcome to New Friction. I’m Douglas Ferguson. AI just made execution almost free. So why are organizations still stuck? Because the friction didn’t disappear. It moved and it multiplied. It’s no longer in building. It’s in deciding what to build, how to align, and how to move forward when the path isn’t clear. That friction, the human side of change, it’s what this series is about. Each episode, I sit down with leaders who are living it, navigating the real challenges of AI transformation, not the tools, the people. The task that took two weeks now takes two minutes. The work isn’t the bottleneck anymore. The conversation before the work is. That’s the work this show is about. Hey folks, I’m super excited to launch this series and the truth is I’ve been thinking about this for a long time. I started out as a CTO, which many of you may know, and AI has been on my radar for years.
(01:13): Back in 2018, my friend Steven was launching Kung Fu AI, and I came on as an advisor. In fact, we launched our companies right around the same time, and we were there together. He went deep tech, and I went deep human because I could see this coming. The technology was going to get extraordinary. The hard part was going to be us. By 2019, we had Cam Hauser demoing an AI facilitation tool built on GPT2 at one of our facilitation lab events. That’s how early this conversation started for us. So when AI broke into the mainstream a couple of years later, I wasn’t totally surprised. I didn’t exactly see it coming in the way it came, but I was ready. And for the last two years, I’ve been in the rooms where AI transformation is actually happening. Boardrooms, workshops, executive dinners with leaders across the country, and the same thing keeps happening.
(02:08): The tools work, the pilots succeed, and then organizations grind because nobody can answer the human questions underneath. Who decides? Who’s accountable? How do we know it’s working? What do we do with the people whose jobs just changed? That’s the conversation nobody’s having out loud. Everyone is having it in private. So we’re going to have that conversation here in public. Honestly. In this series, you’re going to hear from heads of product and VPs of engineering who deployed AI and watched their teams get faster and somehow worse at the same time. Transformation leaders who had to rebuild trust after a rollout went sideways. Researchers who can tell us what’s actually true versus what’s hype, and builders who figured out something that worked and are willing to say what it cost them. No frameworks for sale, no predictions about AGI, no vendor pitches dressed up as wisdom. Just the conversations I wish I’d had access to five years ago.
(03:08): The first series drops soon. If the friction I just described sounds like the friction now emerging in your work, you’re exactly who I made this for. Subscribe wherever you’re listening, bring a colleague. And if you’re a leader who’s living this and you’d want to come to the show and talk through what you’re seeing, reach out. I’d love to hear from you. You can find me at voltagecontrol.com or on LinkedIn. Let’s go figure this out together.
(03:35): Thanks for listening to New Friction. If you enjoyed this episode, share it with a leader who’s in the middle of this right now. They’ll thank you for it. And if you want to go deeper, we bring leaders together through executive dinners and virtual masterminds. To learn more about our work or to inquire about exclusive executive events, visit voltagecontrol.com. I’m Douglas Ferguson. See you next time.
In this episode of the New Friction podcast, host Douglas Ferguson speaks with Peter Bell, founder of Gather.dev and author of the forthcoming O’Reilly book Scaling AI Adoption in Engineering. Bell draws on his work running invite-only peer communities for senior engineering leaders to diagnose why most organizations stall out in AI pilot mode rather than achieving meaningful transformation. The conversation maps three distinct patterns of engineer resistance—skeptics burned by early models, craft-focused developers who resist the shift toward managing agents, and those with principled objections to AI—and offers concrete tactics for reaching each group. Bell and Ferguson explore how AI amplifies existing organizational health: strong DevOps practices compound upward while process debt scales its dysfunction. They examine the mandate trap, measurement via token usage as a diagnostic rather than a performance metric, and the non-negotiable role of psychological safety in any serious adoption effort. The episode closes with Bell’s call for engineering leaders to build hands-on with current models, arguing that firsthand intuition—not secondhand reports from a VP of AI—is what this transition demands.
In this episode of the New Friction podcast, host Douglas Ferguson speaks with Jeff Grabill, Dean of the College of Arts and Sciences at the University at Buffalo, recorded in the immediate aftermath of the IHE US AI Summit 2026, which both men attended. Grabill recounts what emerged from that two-day working convening: the foundation of the Buffalo Statement, a collective public agenda for AI in higher education, and reflects on why the room's patience, grounded confidence, and willingness to question prior assumptions exceeded his expectations. The conversation explores why universities, often criticized for moving slowly, may possess exactly the right instincts for AI transformation: designing conversations intentionally, engineering productive friction, and moving fast and slow at the same time. Ferguson and Grabill dig into how AI has relocated rather than eliminated friction, particularly in learning environments, where effortless output now threatens the productive struggle that actually builds expertise and ideas. They close on a librarian's insight from the summit — "I don't care if AI created it, I care if it's true" — and Grabill's call for businesses and universities to actively seek one another out as partners in working through this moment.
In the inaugural episode of New Friction, host Douglas Ferguson and Erik Skogsberg explore how AI has shifted organizational friction from execution to decision-making and alignment. While AI accelerates production, it magnifies existing dysfunctions when teams lack collaborative habits. They introduce the concept of "multiplayer AI"—moving beyond individual productivity gains toward team-level collaboration. The conversation emphasizes that facilitation, judgment, and organizational health are now the critical differentiators. Practical takeaways include assessing whether your organization operates in "single player" or "multiplayer" AI mode and intentionally slowing down at key decision points to maximize human impact.
