Should You Still Study Computer Science in the Age of AI?

If someone has great talent (top 5%) and is a fanatic, they should go to university.

Otherwise, they stand no chance.

Additionally, universities still haven't changed their training systems, so it's going to be tough (easier if they land a job at a top company that can afford an AI strategist).

Through out history brilliant people replaced menial jobs with technology but now 1st time in history white collar jobs will reduce first..very interesting

I graduated in AI & ML before the rise of large LLMs, simply because I was interested in algorithms and mathematics. What I loved most about programming was solving problems and writing clean code.
Yes, AI can help me do that, but it does not feel the same. Prompting an AI is not what I personally enjoy.
More than that, everything feels rushed now. I do not want to be in a field where everyone is constantly running after the next thing, building projects whose long-term impact we barely understand. We are damaging part of the planet in the name of projects that are supposed to help the world. I think AI should be much more controlled. Not banned, necessarily, but slowed down, questioned, regulated, and used with more care.
What is the point of becoming more productive with AI, of multitasking even more, if I do not get to go home earlier?
I want a slower world. Everyone seems to have stars in their eyes. I am just tired.

Before knowing that AI it is necessary to know the basic computer fundamentals or computer skill.. Not all the work the ai will replace

Research is the only field where ai cannot replace human
So iam following my passion

As an engineering leader in the field, computer science fundamentals have never been more important. If you're interested in this work, study it. Add business fundamentals, product, and systems design skills to become truly in demand. The people who know BOTH what to build AND how to build it can't be replaced.

Most people went into this field with the intent of writing code and have a general knack for solving problems. I guess if you are fine with effectively becoming a code auditor for LLM output then do what you want. There are plenty of other fields that offer a more rewarding experience than babysitting LLM's all day. This field is basically dead, the only ones that will stay are those stuck in it and will have to be fine with reading code all day, otherwise find another career.

Would AI replace cybersecurity skill

My grad school professor! Thank you, Professor Nenad!

Starting with the great decoupling in the 1970s, human labor has been and will continue trending toward zero. Think EXPONENTIALLY, not LINEARLY. Automation and robotics will necessarily replace human workers due to the current economic system. Today, AI is the WORST it will ever be going forward. It DOESN'T MATTER if AI "creates" 200 million new jobs...AI will solve and execute these new "jobs" much faster than humans will be able to adapt, learn, and fill them. Capital/employee model-it worked great...for quite a while. However, now companies that automate lower their costs, become more competitive. Those that keep higher-cost human labor necessarily fall behind and will go out of business. This creates a system where replacing people with machines is not just likely, but necessary for company survival. There is a way to deal with this humanely, but it would require a full revamp of the social contract and our concept of work.

I've been telling people for a quarter century to think exponentially not linearly in tech. What surprises me is how many people are surprised. Here's the analogy I would give: You have a very small ball, it is 0.000000001 inch in diameter. It doubles every year. This goes on for 22 YEARS WITHOUT your naked eye being able to see it and during that 23rd year your naked eye can barely even perceive that it exists as nearly a point in space. With doubling for another 8 years, the ball is now a little more than an inch in diameter. This is equivalent to AI back in the 2000s, people say oh look how cute it is, but it will never be able to do my job (whatever that might be), and laughs were had by all (well not all but nearly all). Another four years go by and now the ball is over a foot in diameter. This is the state of AI in 2026. A few people are noticing gee it is getting kind of big. Two or three years later the diameter is the height of the average human. Less than 10 years after this, the ball has a diameter of over 1,000 ft. The same thing that you could not even detect for 23 years has in less time than that went from something you could just barely see do something that's over a thousand feet high. This is the trajectory of AI and robotics. You can easily substitute in your height as an analogy of how smart you are, or how valuable you are to the economic system. Anyone who thinks the institutions we have in place today will be able to manage this 5 to 10 years from now, let alone the politicians, are the problem. Somehow, people are shocked that AI is now taking over jobs like it just came out of nowhere. It's been brewing since humanity began. Just in the early phases, if you lived a healthy long life of 100 years, even though AI and Technology advanced exponentially, things were pretty much the same when you died as when you were born for well over 99% of humanity. Those days are gone. Unfortunately, I believe there will be several years to a decade or so of hell for most people, but that is only due to leaders' egos and sluggish institutions that either can't or won't adapt.

Remembering phone numbers is bad for now though. Because we really do need people who have significant coding knowledge. Otherwise you can quickly evaluate AI code output. You have to trust the AIs analysis.

In which case we may as well not have the engineer read the code.

Hello Miss Jean, I completed my BCA in August 2025. It’s been nearly a year, and while all my friends have been placed, I chose not to pursue an MCA. My financial situation doesn't allow for further expensive degrees right now, and I believed focusing on skill-building was a better path. I have been specializing in Machine Learning, and yesterday, I finally deployed my first project! However, because of the gap year and being unplaced, I’m feeling very low and on the verge of giving up. Your advice means a lot to me—what should I do next?

Fundamentally I believe those with technical knowledge are best equipped to use these tools, you can write better, more detailed prompts and produce things more efficiently with better results.

The current pay for the amount of physical and mental pain plus the risk of getting laid off 3 times in every 5 years in my 40s is just not competitive compared to other professions like nurses.

Hi Jean! Really interesting interview. I think a lot of people are wondering how universities are adapting to new tech.

the answer is no lmao

I love driving stick. It taught me not just how a vehicle transfers power from the engine to the wheel and what role gears play in that delivery, but it also helped me to understand weight transfer, grip, and torque. I would be a worse driver without having learned it, and I'm willing to bet that many people are worse drivers for lacking that understanding.

Draw from that anecdote whatever parallels seem appropriate to AI (and automation in general) and the much greater dangers of trading our deeper understanding of things in exchange for convenience.

Besides, the ability to do work faster almost always leads to more work and not more leisure as was suggested.

It doesn't

Just a feedback that this video has some sort of filter, it looks kinda weird on a TV. It’s a waste for such an amazing conversation to miss a better production quality.

AI is not replacing computer science and software engineers. People who are interested in this career should definitely study.

Respected Madam,
My name is Mehedi. I am currently studying for a Bachelor’s degree (Honours) in Philosophy. Although my academic background is in Philosophy, I am very good at mathematics, and I have strong innovative and creative thinking abilities.
I want to become an AI Engineer. My question is: can I become an AI Engineer even though I am studying a non-Computer Science subject?
Will I be able to get a job in a big tech company as an AI Engineer?
If I complete my Bachelor’s degree in Philosophy and then pursue a Master’s degree in Artificial Intelligence at a university in Europe or Canada, how beneficial would that be for my career?

Should you know math in the age of calculators 😂😂