The question of whether to pursue a medical degree over attending Seoul National University (SNU) is gaining traction among South Korean students, sparking debate about the future of professional careers in the face of rapidly advancing artificial intelligence. The core of the concern centers on the lengthy training period required for medical professionals and the potential for AI to disrupt knowledge-based industries. Is dedicating a decade to medical education a risky proposition when AI is demonstrating an unprecedented capacity for learning and problem-solving?
This discussion isn’t new, but it’s been significantly amplified by recent breakthroughs in AI capabilities. Just two years ago, AI models struggled with the complexities of the Korean college entrance exam, the *suneung*. Now, Google’s Gemini 3.1 Pro has achieved a perfect score on the exam, a feat that has sent ripples through the education system, and beyond. This rapid progress fuels anxieties about the long-term value of professions heavily reliant on accumulated knowledge, like medicine. The question isn’t simply about AI passing an exam; it’s about the exponential growth trajectory of these technologies and what that means for future job security and career paths.
The Long Road to Practice in South Korea
One of the primary concerns driving this debate is the extensive time commitment required to become a practicing physician in South Korea. As one commenter noted, it takes nearly ten years to complete medical school, residency, and the necessary training to begin independent practice. While this period offers a degree of stability compared to some other professions, the lengthy investment raises questions about the return on that investment in a rapidly changing technological landscape. The potential for AI to automate tasks currently performed by doctors, even if not fully replacing them, adds another layer of uncertainty.
The rise of AI isn’t limited to exam-taking. According to reports, Google’s Gemini 3 consistently outperforms other AI models in complex problem-solving, including the 2026 *suneung*. AiTimes reported that Gemini 3 achieved first place in solving the exam, surpassing even the GPT-5.1 model. This success builds on previous advancements; a blog post from AI Study Room highlights Gemini 3.1 Pro’s recent achievement and the growing impact of AI in education.
AI’s Rapid Advancement and the Future of Knowledge Work
The speed at which AI is evolving is a key factor in this discussion. The commenter who sparked the initial question believes that AI is growing at an “exponential rate,” raising concerns about the future of professions that rely heavily on knowledge and expertise. The implication is that as AI becomes more sophisticated, it will increasingly be able to perform tasks that currently require years of specialized training. This isn’t limited to knowledge-based professions; the commenter predicts that AI will eventually automate many office jobs as well.
However, the reality is more nuanced. While AI is making significant strides, it’s important to remember that current models still have limitations. A December 2025 report from the Chosun Ilbo compared the performance of several AI models on a simulated *suneung*. While Google’s Gemini 3 Pro scored a high 92 points, and Anthropic’s Claude Opus 4.5 achieved 84 points, Korean AI models lagged behind. Upstage’s “Solar Pro-2” scored 58 points, while NCSoft’s “Llama Barco 8B Instruct” received a mere 2 points. This suggests that while international AI models are demonstrating impressive capabilities, domestic development still has considerable ground to cover.
Beyond the Exam: The Broader Implications
The debate extends beyond the *suneung* and the immediate implications for medical school applicants. It touches on a fundamental question about the value of human expertise in an age of increasingly intelligent machines. If AI can perform complex tasks with greater efficiency and accuracy, what role will humans play in the future workforce? This is a question that is being asked across a wide range of industries, from law and finance to engineering and the arts.
The concern isn’t necessarily about AI completely replacing doctors, but rather about the potential for AI to reshape the medical profession. AI could assist with diagnosis, treatment planning, and drug discovery, freeing up doctors to focus on patient care and complex cases. However, this likewise raises questions about the skills that future doctors will need to succeed in a world where AI is an integral part of healthcare. Will the traditional medical curriculum adequately prepare students for this new reality?
The discussion surrounding Seoul National University and medical school is a microcosm of a larger global conversation about the future of work and the role of education in preparing individuals for a rapidly changing world. The advancements in AI, exemplified by Gemini 3’s performance on the *suneung*, are forcing a reevaluation of traditional career paths and the skills that will be most valuable in the years to come.
The next key development to watch will be the continued evolution of AI models and their integration into various industries, including healthcare. Further research and analysis will be needed to fully understand the long-term implications of these technologies and to develop strategies for adapting to the changing landscape. Share your thoughts on this evolving situation in the comments below.
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