I was taking an online test when I came across this question:

“What was the opening price of GOOG stock on September 26, 2025?”

• $244.42
• $246.64
• $244.84
• $250.12
• $247.79

The correct answer was: $247.79

I’ll keep this simple. If you only came here looking for the answer, you can stop reading now.

It seems like MANY people are running into this question. They googled it, but all of the responses were fake and claimed they couldn’t provide the information. I’m just trying to help a little by posting it here. It also feels like a sign that many new teams are training their own AI systems.

AI is everywhere.

Let’s get back on topic. The superpower I want most is the ability to learn computer science and AI-related skills extremely fast. More importantly, it feels like one of the few fields left where actual ability can matter more than formal credentials.

I saw this question on an AI testing website that uses small tasks and knowledge checks as part of a human verification system. Ironically, if I already had elite-level AI or machine learning skills, I probably wouldn’t spend much time on websites like that. I’d most likely be working somewhere in the AI industry already.

At the same time, the internet is full of people complaining about unemployment, rising living costs, and fuel prices. News headlines keep talking about falling approval ratings for Donald Trump and growing economic frustration.

But there is another side to the story.

There is also a group of people who are extremely busy, extremely exhausted, and extremely lucky. In business language, people would say they “caught the wave.”

Most of them are connected to semiconductors and AI.

Just look at the market. New highs again, especially in AI-related stocks. Whether you look at SOXX, QQQ, or even semiconductor-related companies inside the KOSPI, the pattern becomes obvious.

This era rewards people who are close to AI infrastructure, machine learning, semiconductor manufacturing, chip design, and robotics. If you are inside those sectors, there is a good chance life looks very different from the rest of the economy.

Outside of those industries, how many genuinely optimistic stories are left?