Qonversations: Wisdom for Leaders in an AI-Driven World

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?

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.

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.

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.

If AI is accelerating everything, what happens when we don’t pause long enough to think? In this episode of Qonversations, Mak Dizdar, head of Strategy and Consulting for Curious Lion, joins Brian Gorman to examine the tension between AI and critical thinking. As organizations rush to implement AI, many skip the most important step: defining the problem. Faster execution, without clarity, simply leads to faster misalignment.Mak offers a sharp lens. AI doesn’t improve thinking; it amplifies it. For critical thinkers, it expands capability. For those stuck in busy work, it accelerates noise. The conversation challenges how we measure productivity in knowledge work, emphasizing reflection, pattern recognition, and the ability to reassess whether the target itself has shifted. It also draws a clear distinction between information and true understanding AI can replicate knowledge, but not the deeper, internalized intelligence that shapes judgment.As decision making becomes more distributed, critical thinking is no longer optional. It is a leadership requirement. Because the question isn’t whether AI can think. It’s whether we still will.

Artificial intelligence is changing how organizations operate. But the real leadership challenge is not the technology. It’s how humans choose to use it. In this episode of Qonversations, host Brian Gorman speaks with Joshua Gould, CEO of The Big Word, a global language services company supporting governments, courts, healthcare systems, and security organizations around the world. Leading an organization with more than 15,000 linguists, Gould has experienced firsthand how waves of technological disruption reshape industries, and what leaders must do to guide people through that change.Their conversation explores the tension between AI-driven intelligence and human wisdom. While AI can dramatically increase speed, scale, and access to information, Gould argues that successful implementation depends on something machines cannot provide, human judgment. He stresses the importance of leaders balancing efficiency with responsibility, ensuring that technology enhances human decision-making rather than replacing it.Josh and Brian also discuss the realities many organizations overlook when adopting AI: resistance from stakeholders, the importance of articulating clear value, and the danger of chasing technology without a clear purpose. As Gould notes, the organizations that benefit most from AI are not the ones that adopt it fastest, but the ones that apply it most thoughtfully.At its core, this conversation asks a deeper leadership question: If intelligence is becoming abundant through machines, how will leaders ensure wisdom remains at the center of their decisions?

In this episode of Qonversations, Edosa Odaro joins host Brian Gorman for a clear-eyed conversation about what it actually takes to make AI work for people and performance. Edosa, author of The Values of Artificial Intelligence: How Smart Leaders Capture and Connect AI Value to Human Values, makes a simple but often ignored point. Successful AI initiatives rarely begin with technology. They begin with people. With clarity about purpose. With alignment around what “value” truly means.Too many organizations rush toward AI for speed, automation, or cost reduction. The technology may function, but the value fails because financial metrics were treated as the only definition of success. Edosa explains how misalignment shows up in predictable ways: when lab performance doesn’t translate to real-world results, when pilots don’t scale, when early wins don’t sustain, and when stakeholders define value in fundamentally different terms.The conversation explores how leaders can avoid those traps by creating cross-functional value teams, developing tools that translate technical capability into human impact, aligning incentives and metrics across functions, and building a shared language around value before writing a single line of code. They also confront a larger shift: as AI commoditizes intelligence, discernment becomes the differentiator. If machines can optimize decisions, leaders must decide what outcomes are worth optimizing in the first place.Brian describes Edosa’s framework as the kind of guide every leader should keep on their desk and revisit often not because it simplifies AI, but because it sharpens judgment. This episode is a practical, grounded roadmap for leaders who want AI to create genuine human-AI win-wins rather than expensive lessons.

Dr. Trisha Vinatieri, clinical psychologist and Chief Well-Being Officer, joins Brian Gorman for a grounded conversation on burnout not as an individual resilience problem, but as a leadership responsibility. Burnout is often treated as inevitable or as a workload issue to be solved by “doing less.” This conversation challenges that assumption. Trisha and Brian explore how leaders are uniquely positioned to prevent burnout through how work is designed, how purpose is protected, and how people are seen and heard without reducing the work itself. Drawing from Trisha’s work in healthcare systems and Brian’s leadership advisory practice, the episode reframes burnout as a signal of misalignment rather than personal failure. Together, they unpack what leaders can notice earlier, what conversations matter most, and how small shifts in attention, listening, and job design can restore energy and engagement. Burnout is not prevented by doing less. It is prevented when leaders create the conditions for people to do the right work, with clarity, purpose, and dignity. (27 min.)

In this episode of Qonversations, Mike Toguchi, Chief Strategy Officer at Tektonic, sits down with host Brian Gorman for a grounded conversation about AI as a strategic leadership resource, not simply a technology initiative. They explore a growing, unspoken concern among senior leaders: “We’re using AI, but we may not be using it well.” While AI can dramatically expand access to data and insight, Mike and Brian argue that the real challenges aren’t technical. They’re human: how leaders frame outcomes, communicate intent, govern use, and ensure accountability.The conversation challenges the idea that AI lives primarily within IT. While IT plays a critical role, the most consequential decisions about AI belong with leadership, because AI increasingly shapes workflows, judgment, and organizational behavior. Mike shares what he’s seeing across organizations as they mature in their use of AI, shifting from tool obsession to outcome focus, and creating space for experimentation with oversight. This episode is an invitation for leaders to pause, reassess how AI is being used today, and recognize when it’s time to seek perspective beyond their own organization—before early choices harden into long-term constraints.

In this episode of Qonversations, Brian Gorman sits down with leadership author and advisor David Liddell and President of Liddell Consulting explore what happens when leadership shifts from managing effort to cultivating meaning, alignment, and energy. Through stories from manufacturing, healthcare supply chains, and leadership practice, the conversation surfaces a tension many organizations feel but struggle to name: people are busy, capable, and well-intentioned, yet disconnected from purpose, clarity, and shared outcomes.Rather than treating this as an engagement problem to fix, Brian and David frame it as a wisdom challenge: helping people understand why their work matters, how success is defined, and where their energy is best applied. They explore moving beyond activity metrics to meaningful outcomes, the role of sense-making and unlearning in leadership, and why people commit differently when the human impact of their work becomes visible.As organizations move beyond Industrial-Age assumptions about control and productivity, this episode offers a grounded look at leadership guided by wisdom, not just intelligence, for those who sense that work is changing, even if the language for what’s emerging is still taking shape.

In this episode, host Brian Gorman talks with Wes Towers, founder of Uplift360, a digital agency in Australia, about what it really means to lead in an AI-shaped world. Brian and Wes explore how AI can boost performance and free up time, but still can’t match human wisdom, intuition, and contextual judgment. Leaders may get faster answers from AI, but the ability to sense what matters and why remains deeply human. They dig into the risks of relying on AI for complex decisions, including inconsistent or overly generic outputs, and why expertise and discernment are still essential. Wes shares how these gaps show up in real projects and why he advises leaders to pair AI tools with trusted human guidance. Their conversation moves into creativity, human connection, and the parts of work AI can’t touch. Wes describes how automating technical tasks has allowed him to focus more on listening, relationships, and understanding clients at a deeper level. He also talks about a turning point in his own business that pushed him to elevate relationships over transactions.Brian and Wes close by comparing different cultural approaches to business, some beginning with relationships, others with deals, and reflect on why the future favors the former. For leaders looking to adopt AI wisely, their advice is simple: choose tools intentionally, stay rooted in your values, and don’t go it alone.

In this episode of Qonversations, host Brian Gorman sits down with Co-Founder and CEO of FlipWork Nikki Barua for a grounded, future-facing exploration of what sets humans apart in an AI-driven world. Together they get to the heart of why creativity, communication, compassion, adaptability, and self-awareness matter more than ever and why the future belongs to those willing to evolve. Among other things, they unpack the shift from “human doing” to “human being,” the collapse of the old pyramid model of leadership, and the rise of more distributed, values-driven, adaptive ways of working. They explore how culture must behave like a living system, how energy matters more than time, and how diversity and belonging fuel innovation in the age of intelligent machines. At its core, this conversation is about unlocking your unique zone of genius, the human qualities no algorithm can replace. If you’re navigating the intersection of human potential and intelligent technology, this conversation is a reminder: the future isn’t about competing with machines. It’s about becoming more fully, consciously human.

How, and why, would you make an organization-wide change optional? What would make people want to opt in, even when doing so would cost their team to do so? When was the last time that you fired a team, telling them that they no longer could participate in a change initiative? These are only a few of the stories that Phil Gilbert shares with host Brian Gorman in this episode. Phil, the author of Irresistible Change: A Blueprint for Earning Buy-In and Breakout Success, tells how he and his team succeeded in achieving a significant culture change across 400,000 IBM employees globally. There are important lessons here for every change leader, and every change practitioner, regardless of the size of your organization or the nature of your change.