Beyond AI: Wisdom at Work

In a world obsessed with speed, certainty, and fast answers, leadership often happens somewhere else entirely. In the fog.

In this episode of Qonversations, Brian Gorman is joined by Pete Behrens, author of Into the Fog: Leadership Stories from the Edge of Uncertainty, for a conversation about leading when the path forward is unclear. Pete uses “fog” as a metaphor for the ambiguity and complexity leaders face when old answers no longer fit and new ones have not yet emerged.

Brian and Pete explore how artificial intelligence is intensifying that fog. AI increases the pressure to move faster, decide sooner, and appear more certain. Yet the deeper leadership challenge may be slowing down enough to ask better questions, notice what is changing, and resist the temptation to perform confidence when presence, humility, and discernment are needed.

A central theme is the “messy middle” between decision and destination. Leaders often announce change and expect adoption. Real leadership is often shown after the decision, when people are confused, resisting, grieving, adapting, and trying to make sense of what comes next.

The episode closes with a powerful distinction. Being a leader is not the same as practicing leadership. A title may grant authority, but leadership is a choice available at every level, especially when the way forward is unclear.

AI is not just changing enterprise strategy. It is changing the daily experience of work.

In this episode of Qonversations, David Dean, AI technologist, practitioner, and author of An Inbox Between Us, joins Brian Gorman to explore what it means to use AI wisely in real-world settings.

David brings a practical behavioral lens to AI. He explains that every organization has an official system of processes, roles, and documentation, and an unofficial system revealed in inboxes, chat threads, meetings, workarounds, and judgment calls.

AI does not enter a blank slate. It reflects the behaviors already present. That makes AI implementation a leadership issue, not just a technology issue. Used well, AI can create breathing room, surface patterns, reduce backlog, and support better work. Used poorly, it can accelerate confusion, mistrust, and dysfunction.

This conversation is not only for executives in large organizations. It is equally relevant for solopreneurs, individual contributors, and anyone trying to use AI more thoughtfully. The question is not simply, “What can AI do?” It is, “What human work should AI support, and where must judgment remain ours?”

This is practical AI. Not replacement, not hype, not fear, but augmentation grounded in trust, context, and human wisdom.

AI is accelerating capability. But what if the real challenge is learning how to thrive alongside it?

In this episode of Qonversations, Fred Marshall joins Brian Gorman to explore a question many leaders are only beginning to confront. How do we integrate artificial intelligence into our lives and work without losing ourselves in the process?

Fred, author of Thrive: The Antidote to Future Shock, introduces a practical and deeply human approach to navigating rapid technological change. Rather than treating AI as a replacement for human thinking, he frames it as a strategic partner, one that can help reduce noise, manage complexity, and create more space for what matters most.

Together, Brian and Fred explore the difference between intelligence and wisdom, why innovation is often less about invention than remixing what already exists, and how leaders can avoid being overwhelmed by accelerating inputs and competing demands. They also discuss Fred’s concept of symbiotic intelligence — the emerging partnership between human judgment and AI capability — and why the most important leadership question may no longer be what AI can do, but what humans must continue to do.

If AI can increasingly think with us, what becomes essential for us to protect, strengthen, and cultivate as humans?

Most organizations are treating AI like a technology implementation. What if that is the wrong starting point?

In this episode of Qonversations, Kathy Eastwood, Founder and Chief People Strategist of E Equals Why, joins host Brian Gorman to explore why artificial intelligence may be one of the biggest people and leadership shifts organizations have faced in decades.

Kathy shares why some organizations are beginning to place AI under HR rather than IT, recognizing that the real challenge is not the technology itself, but how people experience, adopt, and respond to change. Together, they examine the pressure leaders face to improve efficiency while maintaining trust, culture, and human connection.

The conversation also explores Conscious Capitalism, purpose-driven leadership, and the growing expectation, especially among younger generations, that organizations lead with something more than profit alone.

As intelligence becomes increasingly abundant, what role must leadership play in protecting what remains distinctly human?

What if AI’s greatest value isn’t optimization, but innovation? In this episode of Qonversations, Jamie Cassar, Founder and Product Lead for Inspiru.ai, joins Brian Gorman to explore a question many organizations are missing as they rush to implement AI. What happens when artificial intelligence is used not simply to make work faster or cheaper, but to expand human curiosity, creativity, and problem-solving?

Jamie challenges the growing tendency to view AI primarily through the lens of efficiency and cost reduction. Instead, he makes the case for using AI to free cognitive capacity, amplify critical thinking, and help people innovate in ways that traditional organizational structures often suppress.

Together, Brian and Jamie explore why so many organizations unintentionally stifle innovation through functional silos, why belonging and diverse perspectives matter more than ever in an AI-driven world, and how leaders can rethink the relationship between human intelligence, organizational culture, and technology. They also wrestle with a harder leadership question: if AI can increasingly optimize execution, what remains distinctly human in creating the future?

This conversation is not about whether AI belongs in organizations. It is about whether leaders will use it to reduce human contribution or expand human possibility.

Jeff Burningham, author of The Last Book Written by a Human: Becoming Wise in the Age of AI, joins Brian Gorman for a conversation that reframes AI from a tool into something far more confronting: a mirror. As Jeff describes it, AI reflects back not just our data, but our values and decisions, especially the ones we’ve normalized. The real issue isn’t AI technology. It’s how leaders respond when what’s reflected back becomes harder to ignore.

The conversation moves quickly from possibility to responsibility. What happens when decisions driven by efficiency such as automation, layoffs, and optimization begin to reshape lives and communities at scale? And what does leadership require when short-term performance pressures collide with long-term human consequences?

Jeff and Brian land on a clear tension. As machines become more intelligent, the answer is not to become more machine-like. It’s to become more human, more capable of judgment, responsibility, and care. AI may be accelerating change, but it is also creating a crucible. One that will either deepen inequality and disconnection or push leaders to rethink what business is actually for.

This isn’t a conversation about adopting AI well. It’s about deciding what and who it’s all ultimately for.

AI isn’t just changing how work gets done. It’s changing who gets to keep doing it. In this episode of Qonversations, Sam Alvita, Director of Learning Design at Masterclass and Executive Coach, joins Brian Gorman to explore the human impact of artificial intelligence on the workforce beyond strategy, beyond systems, and into the lived reality of individuals navigating uncertainty.

This conversation starts where most don’t: with the people beneath the headlines. Sam shares what she is seeing firsthand through her coaching work: skilled professionals investing in AI, doing everything “right,” and still finding themselves displaced. Together, Sam and Brian examine the tension between organizational decisions and individual consequences, and the growing gap between efficiency gains and human experience. Among the things they explore are:

• Why AI-driven layoffs are creating frustration, not just fear
• The hidden cost of losing experience, judgment, and institutional wisdom
• The rise of portfolio careers and side gigs as both necessity and choice

The conversation also challenges leaders directly. AI adoption may be a leadership decision, but most organizations are not yet thinking deeply about how to redesign work around human energy, contribution, and meaning. Instead, many are defaulting to efficiency at the expense of engagement, trust, and long-term capability. This isn’t just about jobs. It’s about what work becomes and who it still works for.

If this conversation lands close to home, you’re not alone. The shift is already underway. The question is whether you are reacting to it or helping shape what comes next.

Eric Nitzberg, Founder and Principal of Sierra Leadership, joins Brian Gorman to explore what leadership actually demands as AI accelerates.

This isn’t about tools. It’s about choice. While many organizations feel pressure to move faster, the real differentiator is not speed. It’s the willingness to pause, question, and own the consequences of what gets deployed. They unpack where those choices truly sit. Formal authority may rest with the C-suite and Board, but insight is often closer to the work, raising a critical question. Are today’s organizations designed to listen, or simply to execute?

The conversation also surfaces a widening gap. Some leaders are building in ethics and safety. Others are moving ahead without fully understanding the systems they’re implementing. Beyond the enterprise, the stakes expand. From education to the future of work, AI is increasing access and capability while raising deeper concerns about what may be lost when the human element is reduced.

AI is expanding what’s possible. Leadership determines what happens next.

AI is accelerating decisions. But leadership was never meant to be automated.

In this episode of Qonversations, Emmanuel Gobillot, author of Alive Inside: Unlock Your Leadership Advantage in the Age of AI, joins Brian Gorman to explore a question beneath every AI conversation: “What happens to leadership when intelligence is no longer scarce but agency is?” Drawing from Alive Inside, Emmanuel reframes leadership around what AI cannot replicate: authenticity, intuition, curiosity, compassion, and presence.

But the real tension is this. As AI gets faster and more capable, leaders are quietly being pulled toward outsourcing judgment, trading reflection for speed. And that’s where agency begins to slip. Brian and Emmanuel make it clear. AI can generate answers, but it cannot hold context, feel consequence, or exercise judgment.

This conversation is a call to reclaim your role, to stay curious instead of being certain, present instead of performative, and fully accountable for the decisions you make. Because in the end, either AI will replace leadership or leaders will define what AI becomes. And that starts with one decision. Will you use AI, or will you let it use you? 

What actually shapes a leader? What they’re told, or what they see?

In this episode of Qonversations, Jay Jacobson, author of Lead by Legendary Example, funeral home director, and CEO of Jay’s Cookies, joins Brian Gorman to explore leadership as lived example rather than instruction. The conversation begins with Jay’s early experience delivering newspapers at age nine: lessons in responsibility, relationships, and empathy that formed his leadership long before it had a name.

They explore Jay’s six pillars of leadership, with a focus on servant leadership and mentorship and how leadership is sustained by what is modeled and passed on. The idea of “edgewalkers” surfaces, along with the courage and self-awareness required to lead between worlds.

The conversation then turns to AI not as a technical issue, but a leadership one. As AI becomes embedded in organizations, ethical use, human oversight, and clear boundaries are leadership responsibilities, not technological ones.

At its core, this is a conversation about what people carry forward based on how you lead.