Module 4-1 · Track 4 · INEMA.NCIA
Future skills & talents
What remains scarce when the machine takes over the rest: the 12 skills, the 6 talents, and the profiles that define a business.
What this module covers
- The 12 human skills
- The 6 talents of the future
- Human profiles that define the future of a business
1.The 12 human skills
Artificial intelligence is automating what is repetitive, predictable, and pattern-based: it already writes texts, summarizes documents, programs, analyzes data, and answers questions in seconds. In light of this, one question remains unanswered—and won’t go away— if AI can do much of what you do today, what still makes you necessary?1 The answer isn’t in what’s technical and easy to copy, but in a handful of human skills that help you think, decide, adapt, and create value when the situation is complex.
There are twelve, and they’re grouped less by category than by function. Some relate to how you think: critical thinking, to question and separate fact from opinion instead of becoming hostage to the machine's answer; creativity, which recombines references and comes from lived experience, not patterns; nexialism, the art of connecting distant fields; and breadth of knowledge, the collection of readings and experiences that supports good questions and good analogies. Others have to do with how you act: will and purpose as energy and direction, the ability to decide what to do—choosing the right problems, not just executing them—and the courage to act under uncertainty, without guarantees.
The ones machines can't reach
A third group is the most resistant to automation, precisely because it depends on being human, not information processing. Genuine empathy feels the other person’s pain, shame, and hope — AI simulates kindness, but doesn’t build a bond. Human connection builds trust and community: people follow, buy from, and draw inspiration from people, and that is valued even more in an increasingly digital world. Data literacy protects us from being misled by charts and vanity metrics. Learning how to learn keeps you relevant when technical knowledge quickly becomes outdated. And ethical courage asks the question the machine never will: is this possible, but is it right?
Notice that none of them is “knowing how to use AI.” The big question is no longer how I use the tool and becomes who I need to become to remain valuable as machines do more and more. AI decides how of many things; it is still up to humans to decide what is worth doing, why, for whom, and with what consequences.
Stop and predict
Of these twelve, which would you say is most threatened by AI in your current job — and which one protects you the most?
See a possible answer
There is no single answer — the exercise is the point. The material suggests starting with a honest self-knowledge: rate each skill from 0 to 10, and mark where AI poses the greatest threat to your role and where your strengths lie. The differentiator often lies in “being” skills—empathy, connection, ethical courage—that machines can't replicate.
▸ Going deeper: a four-week plan optional
The happy path above is enough to understand the idea. This layer is for anyone who wants to turn the list into a study plan—and can be skipped without missing anything.
The source proposes four moves. In week 1, self-awareness: rate yourself from 0 to 10 in each skill and ask yourself which ones you’re strong in, which ones you’re weak in, and which ones AI threatens most. In the week 2, thinking and knowledge: read outside your field, question information, make connections, write down new ideas. In the week 3, data, decision-making, and uncertainty: basic statistical knowledge, prioritization practice, and small tests instead of waiting for complete certainty. In the week 4, relationships, purpose, and ethics: listen more, define what matters to you, and weigh the human impact of your decisions—using AI as a tool, never as a substitute for your responsibility.
2.The 6 talents of the future
In Jensen Huang's view, the focus of the future won't be “who knows how to program” or “who has the most technical knowledge” — technology will automate much of the technical work. The most valuable talents will belong to those who can think better, sense the context better, and use AI to solve bigger problems. Intelligence, then, stops being about memorizing, calculating, or writing code and becomes a combination.2
There are six talents. The first is technical brilliance combined with human empathy: understanding technology, but also understanding people—their needs, fears, desires, and what hasn't been said clearly. The second is anticipation: noticing problems before they explode, seeing what is coming, and not just quickly solving what has already happened. The third is strategic thinking and a long-term vision — Jensen observes that, with age, you may think more slowly, but find better answers because you've learned to see the whole picture.
Character matters more than isolated genius
The last three lean toward the human and collective side. The fourth is keep learning: tomorrow's professional doesn't need to know everything; they need to learn quickly, be humble, and adapt. The fifth is work well as a team — and here Jensen is direct: character matters more than isolated genius. Transparency, trust, forgiveness, responsibility, and the ability to get through difficulties together become core talents. The sixth is use AI as an amplifier: when anyone can create software and businesses with the tool, the differentiator isn't knowing how to use it; it's having good questions, good problems, and a good imagination.
The sentence that ties it all together: being intelligent in the future will mean combining technical skill, sensitivity, vision, courage, and the ability to learn. The future values people who look at a complex situation and ask— what is the real problem here? What is no one seeing? How can I use technology to solve this in a better way?
▸ Going deeper: why anticipation is a rare talent optional
Optional layer. Of the six, anticipation is what most distinguishes the ordinary professional from the exceptional—and it’s worth understanding why.
Solving a problem quickly is an execution skill: the problem is already there; you just need to act. Anticipation works before that — it means noticing the problem while it’s still small, or before it even exists. It depends on the others: it takes long-term vision to look ahead, empathy to pick up on what people haven’t yet put into words, and repertoire to recognize a pattern that has repeated before. That’s why Jensen treats it as a talent, not a technique: you can’t buy it ready-made or delegate it to a machine; you cultivate it over time.
3.Human profiles that define the future of a business
A successful company cannot be sustained by just one type of person. Behind every business that lasts is a fit of human profiles — and understanding them is the difference between building a team that runs on its own and relying on a hero who puts out fires all day. The material maps out seventeen profiles, and the secret isn't having them all, but recognizing who each person is so you can put them in the right place.3
At the top are the entrepreneur profiles: from innate to trainable, from opportunistic to niche, from necessity-driven entrepreneur to non-entrepreneur. Two deserve special attention because of the risks they carry. The mule is the heavy-lifting executor at the start, indispensable during validation, but dangerous when the founder never leaves this role. The savior of the day handles emergencies and inspires confidence — but centralizes everything, doesn't create processes, and the company becomes dependent on him. The healthy transition is the same for both: stop being a hero and become a lead architect, which builds systems that work without your constant effort.
Employees, experts, and the two arms
Orbiting around it are the employee profiles — the stable, the volatile, the low-turnover, the security-focused, and the ambitious — and the balance among them is what provides continuity without killing growth: stable ones provide the foundation, ambitious ones push forward, volatile ones serve specific projects. Above all, the strategic support: the specialist, with deep expertise in one area; the generalist, who connects sectors and has an advantage at a small company; the right arm, a trusted executor who organizes day-to-day operations; and the left arm, an advisor or mentor who helps the founder assess risks, metrics, and decisions—and doesn’t even need to be a full-time employee.
The logic comes together in one sentence: CEO plus right-hand person plus left-hand person balances vision, execution, and analysis; specialists plus a generalist balance depth and flexibility. When this combination is missing, the reason things break down is almost always the same quartet —failing to take care of box, by people, by processes and is strategy. An entrepreneur working alone becomes a pack mule or a savior; with the right profiles in the right roles, the business gains the balance it needs to last.
Stop and predict
You're a founder, you've validated the idea, and you make sales every day—but you still personally handle every operational problem. Which profile should you hire first?
See a possible answer
Probably the right arm — an operations coordinator to organize the team, ensure deadlines are met, and handle day-to-day tasks. This is what gets the founder out of the “mule” role and frees them up for vision, strategy, and major clients. Without this piece, the company grows only as far as one person can carry it.
▸ Going deeper: what the evidence says about specialists vs. generalists optional
Optional layer for those who want to see what the practice is based on.
The research points toward flexibility. Studies associated with Chicago Booth and Harvard Business School indicate that profiles generalists tend to do better as entrepreneurs because they master several functions—a clear advantage in a small company or at the beginning. HR materials (such as those from SHRM) add that the ideal profile depends on the goal: those who want to lead benefit from being generalists; those who want to be technical authorities prefer to specialize. And there’s a practical finding: rigidity between the two roles wastes talent—the best companies use job rotation, develop generalists who later specialize, and adjust the structure to the company’s size, from more hybrid at the start to more specialized as they grow.