It’s hard to ignore all the talk about AI these days. It’s in the news, in our tech, and, more recently, in our dinner conversations. Just last weekend, a friend—a nurse by profession, deeply rooted in earth-based spirituality and about as non-technical as you can get—told me with total sincerity that she believes AI may be an emerging super-consciousness. A divine-level entity, she said, that could someday guide us to a higher collective purpose. I nodded thoughtfully, deeply intrigued and genuinely curious, and fully aware that the AI discourse is no longer confined to data scientists and tech CEOs.
I don’t count myself as an AI evangelist. I’m not writing this to convince you that artificial intelligence is your company’s salvation, or humanity’s for that matter. However, I have spent a significant portion of my career at the intersection of people and technology, having worked as a software engineer, technology executive, and now as a leadership coach and organizational consultant. I’ve led teams that integrated machine learning into production systems. I’ve explored AI ethics. I’ve dabbled in AI tools. So when I say the game is changing—that leadership itself is being challenged by the rise of AI agents—I mean it from lived experience, not just speculation.
Here’s the twist, though: I’m not interested in the “robots will take our jobs” debate. I’m more curious about what happens when AI doesn’t take your job, but instead becomes your teammate, colleague, or perhaps even your direct report.
Picture this: You enter your virtual team meeting. On your screen are the usual suspects—the UX designer, the backend engineer, the product manager—and then there’s Ava, an AI agent trained on millions of product reviews and sales data, offering real-time feedback on which features to prioritize next. She doesn’t need coffee breaks, doesn’t get defensive in retros, and never misses a deadline. But she does need leadership.
Not the top-down kind. Not the command-and-control flavor. What she needs is the same thing the rest of your team does: context, clarity, a shared sense of purpose. And this, to me, is where the real opportunity lies—not just for technology, but for leadership. Especially the kind of leadership that supports self-managing teams and adaptive organizations.
In the self-management world, we discuss concepts such as distributed authority, purpose-driven roles, and transparent decision-making. These principles aren’t just helpful when working with humans; they’re essential when AI enters the mix.
The fact is, AI is not neutral. It reflects the data it’s fed, the values of its designers, and the systems it operates within. If you drop an AI agent into a dysfunctional team or a rigid hierarchy, it will reinforce the dysfunction. But what if you embed it into a self-managing, purpose-oriented, feedback-rich environment? You might just discover something new about what your organization is capable of.
This is where I start to see the threads connect. The kind of leadership that helps humans thrive in complex, adaptive systems is exactly the kind of leadership that can support healthy collaboration with AI agents. In my upcoming book Organizing for Impact, I refer to this kind of leadership as having an Impact Mindset. At its core, it means that:
- Purpose comes first. Whether you’re leading people or stewarding technology, purpose is the anchor. AI can do a lot of things fast, but without purpose, it just spins faster in the wrong direction.
- Transparency is non-negotiable. AI decisions need to be explainable. Your team needs to understand not just what the AI is doing, but why. This means building cultures where questions are welcome, and where data isn’t just dumped—it’s interpreted together.
- Learning is constant. Self-managing teams already prioritize learning loops. When AI becomes part of the team, those loops extend to training data, model outputs, and user feedback. Everyone—human and machine—is a work in progress.
- Accountability gets redefined. If an AI agent suggests a flawed decision, who’s accountable? This isn’t just a legal question. It’s a leadership one. In Impact Mindset cultures, accountability is collective, curious, and oriented toward improvement, not blame.
- Relationship matters. Even with AI. I know it sounds strange, but hear me out: our sense of how we relate to others—whether human or non-human—shapes our behavior. If we treat AI like an oracle, we stop questioning. If we treat it like a collaborator, we stay engaged.
So, what kind of leader do you need to be when your colleague isn’t human?
You need to be clear-minded and curious. Values-driven and systems-savvy. Willing to partner with complexity rather than shut it down. You need to be someone who understands that power doesn’t come from having all the answers, but from creating the conditions where good answers can emerge, even from surprising places.
That’s the kind of leadership we need anyway, AI or not. But the presence of AI just makes the need more urgent. It accelerates everything. It asks us to grow up, organizationally speaking, and to get really intentional about how we work, how we decide, and how we relate.
At Transformetic, I work with leaders who are navigating precisely this kind of uncertainty. Leaders who don’t want to cling to outdated authority models, but who also aren’t ready to just “let go and let the algorithm run the show.” They want to lead in a way that’s principled, adaptive, and inclusive of both the human and the emerging non-human parts of the system. They want to lead with impact.
So if you find yourself wondering what it means to lead in this new era, where your newest teammate might be synthetic, but your responsibilities are more human than ever, you’re not alone. And you’re asking the right questions.
Let’s keep asking them together.
Curious about how to bring more purpose, transparency, and adaptability into your leadership practice, no matter who (or what) is on your team? Schedule a free Discovery Session to explore team and leadership coaching through SparkShift or organizational transformation work with Transformetic.
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