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The library of essays of Proakatemia

Needed Future Skills



Kirjoittanut: Seungyeon Shin - tiimistä SYNTRE.

Esseen tyyppi: Blogiessee / 1 esseepistettä.
Esseen arvioitu lukuaika on 3 minuuttia.

With the constant change of the world, and I believe especially after the Covid pandemic which affected the job market significantly, the question of “What will the job market look like in 2050?” is a still big question mark for me. The uncertainty of it brings me often anxiety, and for sure the fear of many jobs replacement by AI has been evident. But the fear of losing jobs from automation has been here ever since the Industrial revolution.

 

From the Nordic Business Forum, Harari made a keynote speaking about the most important skills for the future job market, discussing three points: how our model of work will change within the next years, what kind of skills are needed in the 21st century, and how technologies will affect future work. This Blog essay aims for learning the common assumptions around job replacement by AI, and also the tool that can be useful to identify reliable information.

To begin with, Harari points out that the real problem with automation isn’t about the complete disappearance of jobs but it’s about the process of adaptation to the new job and to the new job market. As we are witnessing in our daily lives that some jobs have been replaced by AI, we must have assumptions that which jobs or tasks will be replaced by computers and AI, and what kind of jobs and tasks will humans still do.

 

First Assumption: Intellectual skills will be hard to be replaced than social skills.

We tend to appreciate intellectual skills far more than social skills, and we assume that those skills requiring intelligence cannot be easily replaced. In fact, some of the skills we cherish might be automated rather easily, whereas other skills we tend to look down on may be far more difficult to automate. When it comes to gathering data and finding patterns from it, AI is getting better than human beings. On the other hand, AI is still very far away from gaining social skills than human beings.

 

Second Assumption: Creativity is unique to humans so it would be difficult to automate any jobs that require creativity.

But is not true. Computers can be far more creative than humans from the field of fashion design to composing music. And It leads to the fundamental question: What is creativity? If it means recognizing patterns and breaking them, it is more likely that computers will be better than humans.

 

Third Assumption: Computers cannot replace humans in jobs that require empathy or emotional intelligence.

What does it mean by “emotional intelligence” to you? If it means the ability to correctly identify human emotions, and respond to them in the appropriate way, then computers may outperform humans in the coming decades even in emotional intelligence, because emotions are too patterns, like biological patterns. We, human beings, yearn for being heard and understood, so we can sometimes fail how others feel because we re too busy with our own feelings. But Computers don’t have any emotions of their own which might distract them, so they may outperform recognizing emotions than humans.

 

The important thing to distinguish is that consciousness is not the same as intelligence. Consciousness is the ability to feel things, but intelligence is the ability to solve problems.

 

Harari highlights that the difficulty of the future job market is not because of a lack of jobs but because of retraining and adjusting to the new job market. Consequently, there will be financial difficulties as well as psychological difficulties, since reinvention will be required again and again as the job market is constantly changing. People will need emotional intelligence not to compete with AI but rather in order to keep changing again and again without breaking down.

 

It is obvious that people can no longer expect to retain the same jobs or even the same profession throughout their life. The point is how to reinvent yourself and keep mastering new skills throughout your life in the 30s,40s, and 50s. But more importantly, how we can look for new information, and tell the difference between reliable and unreliable information.

 

Stevenson University guides the criteria which help how to identify reliable sources.

  1. Authority: You should check the author if the person is knowledgeable and credential enough.
  2. Accuracy:  Comparing your knowledge and the Author’s one, and check if the citations are made properly.
  3. Coverage: Check if the information is relevant to your topic, and distinguish what kind of information you need such as statistics, charts, and graphs.
  4. Currency: Check if the information is being updated continuously. And if it is especially about technology and medical innovation that requires being up-to-dated, pay more attention.

 

Harari’s message was clear. To cope with the development and upheavals of the next 30 and 40 years, the focus should be on us: to spend a Euro and a minute exploring and developing our own minds instead of using every euro and minute to explore and develop AI.

 

Sources:

– Yuval Noah Harari. 2022. The Most Important Skills for the Future of Work. Nordic Business Forum.

– Stevenson University. How to identify reliable information. Read on 5.12.2022.

https://www.stevenson.edu/online/about-us/news/how-to-identify-reliable-information/

Soonie from Entre.

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