What to study at university in the age of AI

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October 27, 2025
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The Economist
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What to study at university in the age of AI

TL;DR

A university degree can still be valuable, but the value now depends on subject choice and experience. Soft skills, adaptability, and work experience matter as much as the degree, and internships increase chances of full-time employment. AI will reshape jobs, so focus on transferable skills and learning how to learn to stay competitive.

Transcript

Earning a degree used to lead to a steady job with a good salary But today young graduates in the West are finding fewer employment opportunities So, is it still worth going to university? The unemployment rate of young graduates in America is now approaching the same rate for the age group as a whole In 2010 there was around a six percentage-point... Read More

Key Insights

  • Universities still matter for many careers, but the payoff varies by field and experience.
  • Soft skills and the ability to learn are critical for adapting to changing job markets.
  • AI and automation influence hiring trends, but not all sectors shrink equally.
  • Internships significantly boost the likelihood of securing full-time work after graduation.
  • Some high-demand skills include robotics, practical trades, and adaptable problem-solving.
  • Subject choice should account for future relevance and the ability to transfer skills across industries.
  • Work experience and real-world projects augment academic learning in most degrees.
  • Lifelong learning and a variety of skills help graduates navigate evolving job landscapes.
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Questions & Answers

Q: What makes a degree still valuable in the age of AI?

A degree remains valuable because it signals foundational knowledge, discipline, and the ability to learn, while some fields still rely on formal training. The video argues that many degrees enable transferable soft skills like communication, critical thinking, and teamwork, and that work experience through internships can dramatically improve employment prospects within six months of graduation.

Q: How should students choose what to study to stay relevant?

Students should focus on subjects likely to stay relevant and on building transferable skills. The discussion emphasizes robotics and practical trades as durable paths, while cautioning that purely technical skills must be complemented by soft skills. Learning how to learn and adapting to new tools will help graduates stay competitive as technology evolves.

Q: What role do internships play in employability after graduation?

Internships significantly increase the odds of securing a full-time position after graduation. The video notes that graduates with internships were more likely to start full-time work within six months, with the effect being even stronger in certain fields like oil, gas, and mining. This demonstrates the value of practical experience alongside academic study.

Q: Is AI making all graduate jobs obsolete, and should students worry?

The video suggests that while AI changes the job landscape, the decline in graduate opportunities began before ChatGPT and varies by industry. It highlights that some sectors have contracted, but others still value graduates who bring adaptable, human-centric skills and work experience. Therefore, students should diversify skills and prepare for evolving roles.

Q: What skills should be developed beyond subject knowledge?

Beyond subject knowledge, students should develop soft skills such as communication, critical thinking, reliability, empathy, and relationship-building. The ability to negotiate and persuade is seen as uniquely human and vital for success in many roles. These competencies help workers adapt to new tasks and collaborate effectively.

Q: Which subjects are likely to remain relevant as AI grows?

Robotics and practical trades are identified as durable areas because they maximize the benefits of technology and are less likely to be automated. The video argues these fields often do not require a university degree and can be learned through apprenticeships, making them resilient options in the AI era.

Q: How important is it to gain work experience during studies?

Gaining work experience is highly important according to the talk, as it enhances employment prospects and demonstrates the ability to apply knowledge in real settings. The data presented shows a strong link between internships and obtaining full-time roles, indicating that experiential learning complements academic achievement effectively.

Q: What overall strategy helps graduates succeed in the AI age?

The recommended strategy combines choosing relevant subjects with building a broad skill set and gaining diverse experiences. Emphasize soft skills, lifelong learning, and internships, along with the willingness to adapt to new industries. A student who can learn continuously and relate across teams will better navigate the changing job landscape.

Summary & Key Takeaways

  • A long-run view shows that degrees remain useful for many careers, but the payoff varies by field and the strength of work experience. The video notes that AI and automation are changing hiring, making practical skills and soft skills increasingly valuable. It highlights the importance of internships for early career success, even in traditionally graduate-heavy industries.

  • People and jobs are shifting with AI and market trends, not just technology. Some sectors have contracted graduate hiring, while others still recruit from university pools, especially when students combine study with real-world experience. The key is choosing subjects wisely and building transferable skills that survive automation.

  • Ultimately, a student should aim to develop a diverse skill set, including communication, critical thinking, and adaptability, plus practical experience. The research suggests human-centric skills like negotiation and empathy will remain in demand, and that lifelong learning will help workers transition into new roles as technology evolves.


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