The last human skill: finding the right problem to solve in the age of AI

The last human skill: finding the right problem to solve in the age of AI

Prefer listening? I transformed this article into a podcast using Google's NotebookLM. It's surprisingly accurate and even expands on some of the ideas. Give it a listen!


Throughout history, problem-solving has been at the heart of human progress. But solving a problem is only half the battle—the real challenge is identifying the right problem to solve. In an era where AI is rapidly automating tasks, analyzing data, and even generating solutions, I believe that the ability to define the right problem will be the most important human skill in the next decade.


AI solves, humans define

AI is already outpacing humans in many domains of problem-solving. From diagnosing diseases to optimizing logistics, AI-driven systems are faster, more accurate, and capable of processing vast amounts of information. However, AI lacks problem intuition—it doesn’t inherently know which problems are worth solving.

This is where humans remain indispensable. The ability to spot inefficiencies, anticipate future needs, and recognize hidden opportunities requires desires—and desires require instincts that humans possess because of their Darwinian nature, something AI, for all its computational power, lacks.

Why the right problem matters more than ever

The wrong problem, no matter how efficiently solved, leads to wasted resources and missed opportunities. The greatest breakthroughs come not from simply applying solutions but from redefining the problem itself.

Consider companies that failed to adapt to digital transformation—not because they lacked technology, but because they misidentified the real challenge. Blockbuster didn’t fail due to a lack of streaming technology; it failed because it saw itself as a rental business rather than an entertainment provider. AI can optimize an existing system, only humans can redefine the system itself.


The skill that will define the next decade

As AI continues to automate execution, the highest-value skill will shift from solving problems to finding them. This requires:

  • Curiosity – The ability to question assumptions and see beyond the obvious.
  • Systems thinking – Understanding how problems interconnect within a larger ecosystem.
  • Empathy – Recognizing human needs that data alone cannot reveal.
  • First principles thinking – Breaking down complex issues into fundamental truths to redefine the problem from scratch.

In a world where AI can answer any question, the real competitive advantage will lie in asking the right questions.


How to cultivate this skill

To remain relevant in the AI-driven future, we must train ourselves to become better at problem discovery:

  1. Observe before solving – Resist the urge to jump to solutions. Spend more time understanding the real pain points.
  2. Question defaults – Challenge why things are done a certain way instead of accepting them as given.
  3. Engage in cross-disciplinary thinking – Many breakthroughs come from applying insights from one field to another.
  4. Use AI as a thought partner – Instead of just asking AI for answers, use it to explore different angles of a problem.


The future belongs to problem finders

AI will continue to revolutionize how we work, think, and create. But as automation handles more of the "how," humans must focus on the "what" and the "why."

In the next 10 years, the leaders, innovators, and changemakers won’t just be those who can solve problems. They will be the ones who can find the right problems to solve.

And that, I believe, is the last—and most valuable—human skill AI will ever replace.

Vasilis Valandreas

I Help Humans Thrive in the AI Age | Facilitator | Coach | Author | TEDx Speaker

1 个月

Brilliant insight on problem-finding being humanity's last frontier. The timing is amazing - just as OpenAI's deep research hits 26.6% on Humanity's Last Exam, we're witnessing a fascinating paradox: AI's accelerating mastery of expert knowledge is actually highlighting the supreme value of human intuition in problem definition. The exam's design itself proves your point - it took human experts to craft questions that push the boundaries of knowledge. The real story isn't just the 3x performance jump in AI capabilities, it's the emerging symbiosis: while AI races toward matching expert knowledge (the 50% threshold), humans are shifting upstream to the meta-level work of framing the challenges worth solving. In this light, 'the last human skill' isn't just about survival - it's about leading the next wave of innovation by asking the questions AI hasn't even imagined yet. Would love to explore your thoughts on how this dynamic might reshape the entrepreneurial landscape.

John Gravanis

Improving profits of office properties for owners, investors, brokers.

1 个月

Isi, love the article, even more the NotebookLM, audio. Did you feed the article we read here (as is) into NotebookLM? And it took it upon itself to do the rest and create the dialogues? Curious if you can share any nuance needed. The result is fantastic!

Petros Daskaleas

ex Head of Group Tax at National Bank of Greece

1 个月

We are grateful for your valuable input! Thank you!

Athena Peppes

Director of Futures * Emerging Tech & Economic Trends * Helping leaders decode what's next and build their AI literacy * Space Signals Newsletter

1 个月

AI systems don't have the context that we do as humans - so the problem focus you mention is essential - really enjoyed reading the article Isidoros

Irina Gkini

Marketing & Communications Manager

1 个月

Isidoros Sideridis I encourage my 11-year-old daughter to interact with GenAI tools, to enhance her curiosity around the world (under supervision, of course ??). A fellow dad asked me "Aren't you concerned that she may be not able to think independently in the future? What happens if ChatGTP no longer exists?". What I answered to him? From my experience so far, GenAI "prompts you" (pun intended!) to think clearly and define specific questions and problems to solve -much like philosophers in Ancient Athens, but without the extravagant power points ??. I believe your perspective is exactly what we need to thrive in the GEN AI era!

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