How to choose a major?

The content I'm posting today is probably a lot of trouble for you to choose a major, but it's not about fragmentary tips or practical advice when deciding on a major. It's about how to predict the future and look at what's behind the phenomenon, and how to help your child decide on a major.

The easiest condition for choosing a major is for our students to be passionate about one while managing their GPA well. If so, you will be able to choose a major related to your child's field of interest without any hesitation. However, the reality is that most students have no idea what they should do for a living or what they should choose as their major.

Therefore, when it comes to choosing a major, it is not just left to the children; parents need a lot of research and insight. Through that process, you need to present a vision to your child and help him or her choose a major.

Here at A-One Institute, the points we would like to make are as follows.

It may be obvious, but when choosing a major, you must have the ability to predict the future.

Let me explain with an example.

Let me explain what it's like to look behind the scenes through the story of Tesla's Elon Musk, who is as famous as the president.

As you know, Elon Musk bought Twitter for 44 million. It's a lot of money, 75 trillion Korean won, and I bought Twitter by selling my Tesla stocks and taking out a bank loan.

At that time, media outlets ridiculed Elon Musk for burning 75 trillion won simply to buy his playground, Twitter, which had the highest number of followers. But I thought differently!

This is because we approached the phenomenon behind the fact that Elon Musk bought Twitter from a different perspective.

Open AI's Chat GPT's CEO is said to be Sam Altman, but in fact, many people, including Elon Musk, as seen in the photo above, worked together in the early days. What we can discover from this is that Elon Musk is very serious about AI.

Elon Musk, who owns Tesla, is not only trying to make Tesla self-driving, but he also seems to dream of a future in which people can talk to Tesla vehicles in self-driving cars, change their destinations, receive what they need, and control the vehicle with words.

You can see that they dream of making Tesla not just a car, but something that can communicate with humans and behave like a human.

You probably know a lot about Reddit too. It is a very influential site with 75 million people accessing it every day.

Reddit has a huge amount of data accumulated as people share their opinions. Ultimately, for AI to speak like a human, it needs to learn by looking at human writing, but as generative AI scrolls through the data in Reddit, it can take away the data for free. Since it is the same as Reddit's information being stolen, they are saying that they will make Reddit payable if it is to help generative AI.

Shutterstock is also said to be selling images it already owns for a fee to Open AI, a generative AI program.

One thing Elon Musk did as soon as he bought Twitter was to limit scrolling.

This limits the sources for studying AI.

Elon Musk bought one more AI company besides Twitter.

The reason is that we are trying to study AI using Twitter.

In the end, the story is that rather than buying his own playground, he paid $750,000 to buy a source that can help someone crazy about AI study AI.

Mark Zukerberg of Meta Mark Zukerberg also recently announced THREADS, a counterpart to Twitter.

Rather than thinking that Mark Zuckerberg created THREADS to take over Twitter,

It can be seen that he created it because he did not want to see Twitter monopolizing it.

Generative AI is not limited to Chat GPT.

There's also Google's Bard and Meta's LLaMa llama.

Currently, ChatGPT seems to be dominating, but it is expected that it will eventually become a three-way battle between the above companies.

The reason I have explained it this way so far is to tell you that you should not only look at the phenomenon but also be able to see the other side.

You must choose a major with the insight to look behind the scenes.

Currently, there is a dire shortage of engineers in the United States.

In the United States, you may think that engineers are outnumbered because they are treated well, but the reality is different.

The reality is that as many people who are good at studying go to Wall Street and Silicon Valley, there is a shortage of engineers.

I would like to explain this based on semiconductor standards.

There was a time after World War II when the United States focused only on military supplies and neglected technology used by the general public. In the meantime, Japan took over as the emperor of the manufacturing industry.

So, when the United States kept Japan in check, opportunities arose in Korea, and a lot of semiconductor technology came to Korea.

This is the background to the significant development of memory semiconductors such as Samsung and SK Hynix.

In the United States, there were many general workers but not many technical workers, so the United States mainly did design and outsourced it to other countries, so foundries, in fact, rose to a powerful position.

And then

Memory Semiconductor - Korea

System Semiconductor - USA

Foundry - TSMC

This structure was created.

The Biden administration will revitalize the manufacturing industry by implementing a reshoring policy. We are implementing policies that will revive the manufacturing industry.

They are asking us to come to the United States and build a factory.

According to a report analyzed by McKenzie, the United States will invest 52 billion in the semiconductor sector in the future, which will lead to an increase in jobs. However, the problem is that it is predicted that there will be a shortage of 300,000 engineers and 90,000 skilled technicians by 2030.

The year 2030 is when current high school students will graduate from college and obtain a master's degree. If you earn a Master's degree as a semiconductor engineer, you will be treated well upon completion of your degree.

While explaining the big wave of semiconductors, I also looked at the outlook for the engineering field. It would be good to keep in mind that there is a lot of need for semiconductor engineers in the STEM field. Today, we will discuss important aspects of choosing a major,

We talked about insights that can be seen behind primary phenomena and future predictions.

We will conclude today's post by referring to the things we have mentioned and hope that you will make a good decision on your major.

thank you