Lead from your full self. In an age of faster answers, leadership still depends on what we make possible together.
Ubuntu is often introduced through the phrase “I am because we are.” Its meaning cannot be contained in a short English phrase, but these words offer a powerful starting point: who we become is shaped through our relationships with other people. Rooted in living southern African traditions, Ubuntu asks us to take dignity, mutual responsibility, and our effects on others seriously.
That is not a ready-made management formula. It is an invitation to examine a question leaders too often leave unanswered: What does my way of leading make possible for other people?
Over more than thirty years working with leaders, I have seen capable teams struggle despite sound plans and talented individuals. Sometimes the problem lies in strategy or execution. Sometimes it lies in the relationships carrying them: people hesitate to raise a concern, a manager mistakes silence for agreement, or colleagues stop believing that success is shared.
AI makes this question newly urgent. It can help us draft, analyze, and synthesize. Used well, it can free time for judgment and conversation. Used carelessly, it can give leaders more information about their people while giving them less understanding of their experience. A dashboard may reveal a pattern; it cannot, by itself, build the trust needed to discuss what that pattern means.
At Maturity Coach, we bring ancient wisdom into conversation with modern tools and the realities of executive leadership. Ubuntu Roots Coaching™, our community-centered coaching framework, develops one part of that work: examining leadership through identity, relationship, culture, stewardship, and legacy. It draws inspiration from Ubuntu while maintaining the boundaries of professional coaching and respecting the living traditions from which that inspiration comes.
The question behind “we”
Consider three familiar leadership decisions.
Hiring. Alongside “Can this candidate do the job?”, ask, “How might this person contribute to the capacity of the team?” Individual skill matters. So does the ability to share knowledge, invite disagreement, and help others do their best work. Neither should become a vague test of whether someone “fits the room.”
Performance. Alongside individual results, notice who develops colleagues, makes useful information available, and strengthens collective judgment. If an organization says collaboration matters but recognizes only solo output, leaders should examine the gap between its stated values and its incentives.
Failure. Hold people accountable, but investigate the conditions around an error: Was the goal clear? Could someone raise a concern? Did the team have the support and authority to act? Accountability is stronger when it identifies both an individual’s choices and the system in which those choices were made.
A relational view asks more of leaders: to be clear about expectations, candid about harm, and willing to examine their own contribution to the conditions they oversee.
What AI cannot settle for us
AI can give a leader a concise account of employee feedback. The leader still has to decide whether to hear directly from employees—and whether they can speak honestly without penalty.
AI can suggest how to allocate work. A team still has to negotiate competing demands and trust that concerns will be taken seriously.
AI can produce a polished strategy presentation. Executives still have to ask whether they agree on the choices it describes.
Technology is part of how modern teams work. The leadership question is whether we use it to support human judgment and connection, or allow convenience to stand in for them. That choice deserves particular care when AI is used to monitor employees. Leaders should ask what is being collected, whether employees understand its purpose, and how they can question the conclusions drawn about them.
An Ubuntu-inspired practice begins with a pause after an important interaction: Did this leave the other person clearer about their responsibility, more able to contribute, and more able to speak truthfully? No single conversation determines a culture. Repeated interactions help shape one.
Four practices for leaders
Make belonging concrete. Introduce new colleagues to the people, decisions, and unwritten norms that affect their work. Ask what they need to contribute, rather than assuming a welcome message is enough.
Recognize contribution to others. In reviews and promotion discussions, ask for specific examples of how someone developed colleagues, shared credit, improved a decision, or made it safer to surface a problem.
Pair candor with care. Give feedback directly, with clear expectations and room for response. Trust does not eliminate difficult conversations; it helps people have them honestly.
Practice the same discipline at the top. An executive team cannot ask the wider organization for openness while treating disagreement in its own meetings as disloyalty.
These are practices to examine and refine. Ubuntu Roots Coaching™ is a practice framework that invites rigorous assessment, critique, and evidence development; its effectiveness requires independent validation. Leaders should be able to ask whether an approach is helping, for whom, and under what conditions.
The leadership choice
As AI makes some kinds of organizational work faster, leaders have a choice about what to do with the time and attention it releases. They can add another layer of distance between themselves and their teams. Or they can become more deliberate about listening, shared responsibility, and the relationships on which difficult work depends.
“I am because we are” gives us a question to carry into the AI transition: What kind of “we” are our decisions creating? For a leader, that is worth asking in the boardroom, in a one-to-one conversation, and whenever a tool offers an answer before people have had the chance to speak.
