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The Human Skills AI May Make More Valuable

The future may reward people who can frame problems, exercise judgement and understand what really matters

Part 8 of 17

2 min read

When people worry about AI, they often ask which human skills will become less valuable. It is equally important to ask which skills may become more valuable because AI exists.

Start with problem framing. AI can be very good at working on a problem once the problem has been clearly defined. But somebody still needs to decide what the real problem is. A business may ask, 'How do we advertise more?' when the deeper problem is that customers try the product once and never return. Solving the first question perfectly would not fix the second problem.

Systems thinking matters for the same reason. Real problems are connected. Youth unemployment, for example, is not only a shortage of jobs. It can involve education, skills, economic growth, technology, geography, employers, regulation and individual behaviour. A systems thinker looks for relationships rather than isolated symptoms.

Judgement is another important skill. AI can produce options, but people still need to decide which option fits the situation. Good judgement involves evidence, values, risk, trade-offs and context. It becomes even more valuable when there is no perfect answer.

Strategy sits close to judgement. Strategy is not simply making a long plan. It is choosing priorities, deciding where to focus and recognising what not to do. AI can help generate possibilities. Humans still need to decide which possibilities deserve attention.

Then there is domain expertise. It is tempting to think that if AI can answer questions, deep knowledge no longer matters. In many cases, the opposite is true. A trained engineer can evaluate an AI-generated engineering suggestion differently from someone who has no engineering background. Expertise helps you ask better questions and recognise weak answers.

These skills take time to build because they are not learned by memorising definitions. You develop them by working on real problems, making decisions, seeing the consequences and reflecting on what happened. That is why projects, internships, volunteering, team activities and leadership opportunities matter so much.

For parents, this is a useful reminder that success is not only about examination scores. Academic foundations matter, but young people also need chances to decide, create, lead, solve problems and learn from mistakes. Those experiences build the human capabilities that technology may complement rather than replace.

Remember this

As AI gets better at producing answers, humans who can frame the right problems and make sound decisions become more important.

Try this

Before asking AI to solve your next problem, write one sentence beginning, 'The real problem I am trying to solve is...' Then ask yourself whether that sentence is specific enough. If you frame the problem badly, even a brilliant answer can take you in the wrong direction.

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