By Jalal Gasimov
A few weeks ago, I spoke on a panel at the Annual Meetings of the Islamic Development Bank Group. A moderator asked a deceptively simple question: If you could redirect capital anywhere, where would you put it?
I answered in two parts. As a CEO, I said, we have our own criteria for how we allocate capital: return, risk, strategic fit, diversification. But as a citizen, my answer is different. And it’s that second answer that has stayed with me long after the session ended.
In business, every company has a balance sheet. Two companies can hold remarkably similar assets, with similar access to capital, in the same industry, and yet one consistently outperforms the other. Not because it owns better assets, but because it uses them better.
The same is true of countries. We usually name natural resources, infrastructure, or financial capital as a nation’s greatest assets. I see it differently. A country’s primary asset is its people. Oil doesn’t decide how it should be extracted. Capital doesn’t decide where it should be invested. Infrastructure doesn’t decide how it should be used. People make every one of those decisions. Resources are valuable, but they are secondary; their value depends entirely on the quality of the human decisions made about them.
So, as a citizen, I would put capital into the things that raise the quality of those decisions. But what actually determines that quality?
The architecture of performance
Over many years of running organizations, I built a set of formulas to help me think about performance systematically. Individual performance, I came to believe, is the product of three things: Ability, Authority and Motivation. Ability is what a person can do. Authority is whether they have been genuinely empowered to act. Motivation is whether they want to. Because these multiply rather than add, a weakness in any single factor collapses the whole. A capable, motivated person with no real authority produces little. A person with authority and motivation but insufficient ability produces the wrong things.
The same logic scales upward. Team performance builds on individual performance, alignment and how much distortion, meaning power games, hidden agendas, misaligned incentives, erodes that alignment in practice. And at the organizational level, team performance is multiplied again by capital allocation, both talent and money. Because every element in this chain multiplies rather than adds, none of it is optional. Improving one factor while neglecting another yields far less than improving all of them together.
But this framework, useful as it became, eventually revealed its own limitation. It describes how performance works. It says nothing about the quality of the decisions that drive it.
Beyond knowledge, skills, and mindset
But the framework left me with another question. If ability is one of the three multipliers of individual performance, what actually determines ability itself?
For years, I viewed leadership development through a three-tiered framework: Knowledge, what we know; Skills, what we can do; Mindset, how we see and interpret the world. I still believe all three matter. But I realised this framework was incomplete. I found myself adding two more layers:
Knowledge → skills → mindset → judgement → wisdom
I came to see these not a separate framework, but as a deeper explanation of what ability really consists of.
At first glance, judgement and wisdom sound like extensions of mindset. I no longer think they are. Knowledge helps us understand. Skills help execute. Mindset shapes how we interpret reality. But judgement is something different: it is what we rely on when information is incomplete, trade-offs are unavoidable, and several futures remain possible. It is what allows us to make decisions when there is no obvious answer and no rulebook left to consult.
Mindset is the lens through which we view a situation. Judgement is the choice we make after looking through that lens.
And then comes wisdom. Wisdom is not simply better judgement. Judgement asks: “What is the best decision?” Wisdom asks: “Is this the right decision to be making at all?” Excellent judgement can flawlessly solve the wrong problem. Wisdom is what notices that the problem itself may be wrong.
What AI changes, and what It doesn’t
The more I think about artificial intelligence, the more urgent this distinction becomes.
Generative AI is already extraordinary at processing information, identifying patterns, generating alternatives and helping us think through scenarios. In many situations, it can challenge our assumptions and improve our decisions. But someone still has to decide which assumptions matter. Which risks are worth taking. Which trade-offs are acceptable. And whether the question being discussed is the one that truly deserves attention.
Of the five layers in the framework, two are rapidly becoming commodities. Knowledge is already abundant; AI can retrieve, synthesise and explain almost anything. Many skills are being automated at accelerating speed. But the upper three layers are different in kind.
Mindset remains irreducibly human because it determines the lens through which a person approaches reality in the first place. AI can offer analysis, but it cannot change the foundational assumptions a person brings to a problem. Judgement remains essential because AI can model scenarios but cannot bear responsibility for a decision made under genuine uncertainty, with real consequences. And wisdom may actually become more valuable as AI grows more powerful, because AI is extraordinarily good at answering questions, but someone must still determine which questions are worth asking.
As AI continues to democratise knowledge and automate skills, the greatest differentiators between leaders, and between nations, will shift. Not toward what we know. Not even toward what we can do. But toward how we think, how we decide under uncertainty, and how we distinguish between a difficult problem and an important one.
How judgement develops
This raises a harder question: if judgement and wisdom are so important, how do they develop?
Not through the transfer of knowledge. Not through the practice of skills. They develop through the continuous improvement of the mental models we use to understand reality.
My own performance framework is an example of this process. It began with individual performance. As experience accumulated, I realised that individual performance alone didn’t explain organisational outcomes; team dynamics mattered too. Later, even that proved insufficient, and capital allocation entered the picture. Each iteration didn’t discard the previous one; it expanded it, because reality had proven more complex than the earlier model could accommodate.
This is how judgement grows. Frameworks evolve not because their previous versions were wrong, but because reality is richer than any model. The critical discipline is to treat frameworks as working hypotheses, not as beliefs. Once a framework stops explaining reality, it is the framework, not reality, that should be questioned.
This also explains why personally developed frameworks are often more powerful than memorised ones. When someone builds a framework, they understand not only its conclusions but the reasoning that produced it. That makes it easier to challenge, expand and improve over time. Perhaps one of the defining characteristics of exceptional thinkers is not that they possess better answers, but that they continuously improve the models through which they interpret reality.
The redesign we need
If this is correct, then our educational and leadership development systems need a fundamental rethink.
Today, education focuses heavily on transferring knowledge, teaching skills and exposing people to different experiences. These remain essential, but they are no longer sufficient. What is largely missing is deliberate practice in building and revising mental models. That means putting people in front of real, ambiguous decisions rather than case studies with tidy answers, asking them to commit to a judgement before the outcome is known, and then examining afterward not just whether they were right, but why they thought what they thought. A record of reasoning, kept and revisited over time, teaches more about judgement than any amount of retrospective analysis of what went right or wrong.
It also means treating exposure to uncertainty as a curriculum in its own right. Leaders develop judgement the way pilots develop instinct: through repeated, structured encounters with situations that have no single correct answer, under the guidance of people who have made similar calls before. Rotating rising leaders through genuinely difficult, ambiguous assignments, and pairing them with mentors who make their own reasoning visible rather than simply their conclusions, does more for judgement than another course in strategy or finance.
The goal should not be to produce leaders who know many frameworks. The goal should be to produce leaders who are capable of creating better ones. Organisations, industries and societies continuously evolve. Eventually, reality always moves beyond existing models. Only leaders capable of building new ones will continue making good decisions.
The competitiveness of nations will soon depend less on what their citizens know, and more on how well they think. That is where I would put the capital.
