Growth is a collective development. We should grow as a community. We should grow as a humanity, we cannot succeed individually.
In a world already obssesed with growth, and AI bringing speed that we’ve never seen before, understanding how to intentionally design for human centred growth strategies is so important. Systems only work when the humans inside the systems are seen, valued, and allowed to grow.
Bala and I discuss the fact that building effective systems—engineering, organizational, or community—is fundamentally a human design problem, and how AI makes this more urgent. Bala shares invaluable insights from advising startups to teaching coding in public schools.
We dive into redesigning organizations around AI without losing the human element, ethical AI as a design principle, and building human-centered communities when tools change faster than people. Many see AI as a tool for efficiency, a way to move faster. But if you purely optimise with AI without deeply examining your organizational structure and culture, you’re merely moving the bottleneck, not solving it. AI accelerates discovery, highlighting existing issues, especially in low-trust environments. Introducing AI into a low-trust culture doesn’t magically build trust. It automates around the lack of it, potentially exacerbating issues and inciting the use of ‘shadow AI’. The foundational element for any successful team remains trust.
As leaders, we must focus on fostering environments where trust is built proactively, before the pressure of AI-driven decisions.
The main insights you’ll get from this episode are :
Systems only work when the humans inside are seen, valued and allowed to grow; humans are also the meta point in organisations, so it is vital to understand what motivates them (before they decide to leave).
Building a team in a fast-scaling company requires first and foremost the right environment and culture, i.e. how people interact, how things are set up; AI acts like an x-ray machine, quickly showing what is broken and mirroring what is happening.
Any team success requires trust and in the AI age, this entails trusting (or not) in AI as a system, trusting (or not) the output I produce (direct), and trusting (or not) others to use AI properly (indirect).
The human aspect is about making things come together; AI requires fast decisions from leaders so leaders must trust their people, not identify or label them by their mistakes.
AI governance is both a legal and human/behavioural issue – everyone should be involved in the conversation as AI is not an entity in itself; we give it life/power, which gives rise to ethical issues.
New generations have access to tools/power and are already thinking about impact (moving away from the conventional leadership model) and the need for community, factoring this into decision-making to make it easier to create new tools quickly.
Growth is a collective development, and success is not possible individually because access is now decentralised; the infrastructure must be a community as a living thing, helping others unbidden and building networks of trust.
Leaders must intentionally make time for and ‘invest’ in community, taking off their leader ‘hat’ in an informal setting, for example; it all starts with objective communication, removing the subjects to change the perspective.
AI is an opportunity to revamp organisational design with humans as the connective tissue in the system; in future, governments, education/industry, and economies must come together to include everyone and work for humans.
Being curious is good enough and will guide us to the next step; we should get our hands dirty and humbly remember that our day jobs are creating a world for the next generation.
Find out more about Bala and his work here :
