The Ladder Isn't Gone: My Advice to Students Starting Their Careers in the AI Era

• The career ladder has been redrawn, not removed. AI now handles much of the work that used to fill a first job, so this generation will be directing work sooner than any before it.
• AI handles execution; people bring judgment. Asking the right questions and owning the answers matters more than ever.
• Build the person, not the job title. Protect your health, find work that fits your nature, and keep learning with every tool available.
• Nobody is ten years ahead of you. The tools are new, the playbook is unwritten, and the window to learn is wide open.

On October 7, I spoke with students at National Taiwan University as part of the Masters Ask – Talks with Masters: A Cruise through Future Careers series. The students came from 11 colleges, from engineering and medicine to the humanities and management, and I suspect many of them have heard "AI is coming for entry-level jobs" more often lately than they have heard "congratulations."

I didn't tell them there is nothing to worry about. I told them what has actually changed and what I would do if I were in their position. Here is that advice, along with points their questions brought out.

The ladder has been redrawn, not removed

Data entry, first drafts, routine code: the tasks that used to be the dues you paid at the start of a career can now be done by AI in seconds. But the jobs have not disappeared; their makeup has changed. Boston Consulting Group expects around half of jobs to be reshaped rather than replaced, and roughly one in three entry-level postings now asks for AI skills, according to the National Association of Colleges and Employers.

Most employers are not mainly hiring AI engineers. They want people who use AI well, can judge whether its output is any good, and can apply it to real problems. That is a move from doing the task to directing the work, and fluency with AI is your leverage. The ladder is not gone. Someone rebuilt it while you were studying.

AI handles execution. You bring the judgment.

Investor Ray Dalio says human value will rest on emotion, intuition, and intelligence that can partner effectively with AI. NVIDIA's Jensen Huang describes what AI makes possible: less suffering, more productive companies, and faster discovery. Your career sits in the balance between the two.

One student asked whether AI will replace human research. Some mathematicians describe AI's approach to hard problems as "brute force": it often reaches the answer, but without the elegance of a human proof. As discovery speeds up, the scarcer skill becomes knowing which questions are worth asking. People bring curiosity, intuition, and judgment; AI explores possibilities far faster. The opportunity is in combining the two.

There is also responsibility. AI will give you an answer for almost anything, but it will not take responsibility for that answer. That part stays yours. In this era, judgment is not a soft skill. It is what sets you apart.

Don't bolt AI onto old habits

Another student asked how AI startups achieve so much with such small teams. Part of the answer is that they have no legacy processes. Many established companies just look for places to insert AI into the way they already work, and then wonder why the productivity gains are modest. The better approach is to start from scratch: understand what today's tools can do, decide what outcome you want, and redesign the whole process around that.

The same applies to individuals. Don't just use AI to do your old routine a little faster; ask how you would approach the work if you were designing it today. Students have an advantage here, because you have fewer habits to unlearn.

Run toward the hard problems

Being able to face a hard problem and work it out may be the most durable skill you can build. Confidence does not come before the attempt; it comes from attempts, including the failed ones. Analysis is cheap now; what is rare is the willingness to build something, test it, and find out you were wrong. Nothing meaningful I have seen was done alone. And when you face uncertainty, don't wait for the answer to arrive. Go and find it. As AMD's Lisa Su told a graduating class: "Run toward the hardest problems. And trust your engineer's instinct. That's how you make your luck."

At ASUS, we call this taking the hard road. Years ago, we could have stayed a company that assembled hardware to someone else's design. We chose the harder path of designing whole systems ourselves. You will face similar choices sooner than you expect, and the crowded path will always look like the sensible one at the time.

Build the person, not the job title

Specific fields will keep changing. Three things travel with you, no matter what field you end up in.

First, protect your health and happiness. Ray Dalio advises against chasing the highest-paying job. Satisfaction comes from work you find meaningful and relationships that matter, and your energy is the asset everything else builds on.

Second, align your work with your nature. Have the courage to change course when you find a better fit; someone in work that suits them adapts faster than someone defending a title. Your first job is not your identity.

Third, use every tool, and keep learning. Fluency with new tools is what lets you change direction instead of starting over.

That also means a career in technology is not reserved for engineers. When students asked how to prepare, I pointed out that while we face strong competition from semiconductor firms and IC design houses for STEM talent, many of the strongest graduates we have hired in recent years have gone into business development, sales, and product management, roles that connect technology to customers and markets. For students who want an early look at that kind of work, our Campus CEO program is one way in.

Why I'd trade places with you

AI is the defining force of our time, so plan for it rather than waiting for it to pass. And in Taiwan, you don't have to go anywhere to be close to it: the chips and servers this shift runs on are built here.

We're still at the beginning. Nobody is ten years ahead of you. The tools are months old, and the playbook is unwritten. The window to learn is open, and you are standing in it.

At the start of the talk, I promised to say what I would do if I were sitting in their seats. My answer: I would trade places with them. The uncertainty is real, and I won't pretend otherwise. But if I could choose where to begin a career, I would choose to be exactly where they are, right now.

ASUS (2357.TW) is an innovative technology leader delivering the world’s most comprehensive AI solutions across Infrastructure, Physical AI, AI PC/Devices, and Engineering the AI Advantage. Guided by its “Ubiquitous AI. Incredible Possibilities” strategy, ASUS is bringing enterprise-to-edge AI to life. The ASUS portfolio also includes the ROG and ProArt sub-brands, which serve gamers and creators worldwide.

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