Choose the right field of study to enter the "gold mine" of AI.

Choosing a university major is increasingly seen as a crucial factor determining an individual's adaptability and success in the AI ​​economy.

Choosing a university major is increasingly seen as a crucial factor in the age of AI.

The explosion of artificial intelligence (AI) is profoundly changing the global labor market, opening up a group of highly sought-after and lucrative career paths within the technology sector.

According to Investopedia , since ChatGPT launched in late 2022, jobs directly impacted by artificial intelligence (AI) have seen the strongest salary increases. Research from Stanford University and the World Bank shows that positions related to building, operating, and developing AI systems are now among the fastest-growing occupations in the economy , with median salaries exceeding $135,000 per year.

This has led more and more students, including those looking to change careers, to seek out majors that can pave the way into the field of AI. However, according to experts, there is no such thing as a "perfect AI degree" that can guarantee absolute success.

Professor Eugene Vinitsky, an AI researcher at the Tandon School of Engineering at New York University, argues that a strong foundation in mathematics and computer science remains crucial.

"In the future, the most powerful combination will be having a deep enough understanding of AI to avoid fundamental mistakes, while also possessing genuine expertise in another field," he stated.

There is no such thing as a “perfect AI degree.”

According to experts, students should not expect a single AI training program to meet all career needs. Instead, it is important to build a solid technical foundation in AI alongside expertise in their area of ​​interest, such as robotics, design, economics, or philosophy.

In the age of AI, certain majors will see a higher percentage of students finding higher-paying jobs. Photo: ATHVisions

Currently, the market is flooded with AI training programs, ranging from formal degrees to short-term certificates, making it easy for high school students, parents, and those looking for a career change to become overwhelmed by the choices. However, according to educators , employers still prioritize certain foundational fields, including:

• Computer Science

• Data Science

• Mathematics and statistics

• Software Engineering

• Cognitive science

• Linguistics

• Design

Philosophy

The emergence of fields like linguistics, design, and philosophy demonstrates that AI is a highly interdisciplinary field, not solely for software engineers.

According to Vinitsky, what matters is not the name of the degree but the set of skills that students acquire. Most paths to success in the field of AI are based on three main pillars:

• Strong knowledge of mathematics, statistics, and programming.

• Practical experience gained through research or internship

• Concern for the impact of technology on people and society

Adaptability will determine long-term advantage.

One of the biggest characteristics of AI is its incredibly rapid pace of change. Today's "hot" tools and skills can quickly become obsolete in just a few years.

In this context, experts believe that the ability to continuously learn and adapt is the decisive factor in the long-term competitiveness of the workforce.

Students are encouraged to focus on core foundations such as mathematics, probability, logical thinking, and programming rather than chasing short-term, trendy courses.

The ability to learn and adapt continuously is the decisive factor in a worker's long-term competitiveness.

Beyond technical skills, the future AI job market is also projected to require a greater demand for competencies related to design, communication, governance, and policy planning.

Individuals who can explain how AI models work, bridge the gap between engineers and managers, or identify ethical and social risks early on will have a significant advantage in the new work environment.

Be wary of AI programs that "follow trends."

The growing interest in AI has also led to a wave of new majors and the promotion of training programs related to this technology at many universities and training centers.

However, experts advise learners to carefully evaluate the quality of the program instead of being attracted by trendy names like "AI application generation" or "expert prompt."

According to researchers, when choosing a school, students should pay more attention to research opportunities, internships, faculty quality, and graduate employment rates, rather than just looking at rankings or recruitment campaigns.

In an economy being shaped by AI, a university degree remains important, but its true value will lie in each student's ability to combine technological knowledge with practical expertise and their long-term adaptability.

Source: https://daibieunhandan.vn/chon-dung-nganh-hoc-de-buoc-vao-mo-vang-ai-10417768.html