“Life is a tale told by an idiot, full of sound and fury, signifying nothing,” wrote Shakespeare in MacBeth, roughly 400 years ago.
Strange that with intelligence flowing like tap water, why do we often feel like an idiot? Is your business value what you know today? Or, is it how fast your thinking evolves? Should one have a menu of mental models – or is every day, the same ‘chicken and chips’ thinking adequate?
Future proof skill isn't a tool, nor a platform, and it's not a trend. Ability to learn deeply like a renaissance polymath is what’s required. In our age of artificial intelligence [AI] and rapid change, the ability to think across boundaries will always outlast any ‘buy 1 and get 2 free’ fleeting skill.
Knowledge, skills and mindset are all we have. We tend to chase after the next ‘must have’ skill, like today’s fad which may be ‘prompt engineering’ in AI applications. But what if the most valuable skill you can learn today isn't AI related, marketing, or even some captivating people skill.
In chasing, this season’s fashion management skill we aim to be indispensable. “If I just master this technique, I'll always have an edge.” But history and science show a different story.
Leonardo da Vinci didn't survive change because he was a painter. He survived because he could transfer ideas between anatomy, engineering, and art. Benjamin Franklin moved between printing, science, politics, and diplomacy. Richard Feynman applied physics thinking to teaching, storytelling, and problem solving.
Modern innovators like Elon Musk combine physics, engineering, economics, and design. It’s not their skills, but more their ability to move across disciplines, and just plain, constantly adapt.
Expertise is not enough
In the good old days, expertise was all you needed. Learn one field, go deep, stay there for decades. That world is gone. One school of thought suggests that in the last three years, business and management practice has changed radically. If you do things, like you always did, one risks being like burnt toast, soon tossed in the bin of disappointment.
AI can now replicate knowledge faster than humans can learn it. Skills that take years to acquire can be automated in minutes. Entire industries are pivoting. Sectors are fading, even disappearing, with others being created. Problem isn't that knowledge is useless. The problem is that knowledge without adaptability expires.
The people who thrive are not the ones who know the most, but the ones who can move knowledge across domains. This ability is called transferable intelligence. Simply: the capacity to take what you learn in one area and apply it effectively somewhere else. If you place some rice on a garden bird feeder what do you notice? Should one be harvesting new practices, concepts and ideas just like a tea picker knows which leaves to pluck?
No one can learn everything. Aim is to figure out how to develop transferable intelligence deliberately, training one’s grey matter to connect, adapt, and apply ideas across fields.
What can being stuck in a Nairobi traffic jam teach about solving a logistics bottleneck? Strange fact is, these four ways of doing things are not new, they are ways of learning, used by ‘sharpies’ down through the course of history.
One – learn how to learn
Sometimes this is called ‘double loop learning’. Simply notice how you learn best, repetition, focus and seeing things from another perspective is a must. Why we don’t do this, is our fear of feeling stupid. But that ignorance, is the beginning of learning.
One fancy word for the ability to have transferable intelligence is ‘meta learning’. Think about how learning actually happens. Smart learners in business don't just absorb information. They ‘reflect on it. They ask questions like – ‘How does this concept work?’ ‘Where else could this apply?’ ‘What pattern does this reveal?’
Research shows that people who explore multiple domains, outperform narrow specialists in creativity and long-term problem solving. Don’t be like an accountant stuck in their journal entries. Spend some time learning a concept outside your field. Then ask: ‘How could this idea be applied in my area?
Two – apply mental models
Facts fade. Models last. Mental models are simplified explanations of how the world works. Physics teaches cause and effect. Biology demonstrates the importance of adaptation. Psychology alerts one to bias. Economics displays the value of incentives. Design shows the importance of balance and elegant simplicity.
A manager’s thinking becomes flexible when they are able to harvest an array of mental models – as opposed to just collecting facts. Guru of investing, Charlie Munger valued having a lattice work of mental models. With enough models, one can solve new problems without waiting for new information.
An ability to think across economic, environmental, management, political and legal systems can be learned from applying general systems thinking. Donella Meadow’s book Thinking in Systems is a classic, easily available in paperback.
Three – practice solving problems
Transferable intelligence only grows when tested. That means solving problems without templates, explaining ideas in new contexts, experimenting and adjusting.
Albert Einstein said, "If you can't explain something simply, you don't understand it." When your brain has the ability to switch perspectives quickly – that’s a skill that even AI struggles to replicate. ‘Cognitive flexibility’ staying agile, fast moving across the crowded business dance floor, with style and grace will impress any boss.
Four – repeat, restate and rehearse
Iterate, don't accumulate. It’s not about collecting knowledge cafeteria style, ready to regurgitate it out on call. Who does not collect knowledge? Sharp management learners iterate. They move through and master cycles, learning to apply, reflect, and then adapt. Mindset here is that mistakes aren't absolute failures – they are just feedback.
AI sound and fury shows the technology is not an idiot, it can process information faster than you ever will -- but it struggles with cross-domain intuition, analogical reasoning, lived experience, and judgment. Better you are at connecting the dots, making links between ideas, the harder you are to replace.
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