Ever wonder what AI is actually doing to university majors? Most people guess: “They just added a few AI programs.” But when I asked my AI assistant to dig into the four-year changes in China’s undergraduate catalog—from 2023 to 2026—the answer surprised me. It’s not about one new major. It’s about the entire structure being rewritten.
I gave the AI a simple direction: “Go look at what the Ministry of Education’s official catalog has changed.” It did eight things: found official PDFs, converted them into comparable data, aligned definitions (because “total majors” and “newly added points” are different), compared year by year, then—this was the smart move—it classified every major by AI relevance: A is direct AI, B is AI infrastructure, C is AI entering an industry. That classification isn’t official. The AI invented it. And it changed my whole view.
Then it pulled 6,400 records from approval attachments to spot which majors are heating up. And asked: “Want to see which ones are cooling?” Yes. Then it went beyond the catalog—looked at new schools and institutes at Tsinghua, SJTU, Shandong, Shenzhen University. It built a 10,000-word white paper. All in about 20 minutes.
Here’s what I learned.
Trend One: AI isn’t a single new major—it’s a layer underneath everything. Agriculture, fishery, medicine, transportation, finance, marketing, tourism—all of them now have “+AI” versions. It’s not about replacing old majors, but rewriting their DNA. The 2026 catalog even added a whole new “Interdisciplinary” category. That’s the university system admitting: real problems can’t be solved by one discipline alone.
Trend Two: The speed of change is much faster than our perception. During the 14th Five-Year Plan (2021–2025), universities across China removed or suspended 12,200 major points. That’s not slow. That’s a tectonic shift we barely notice because it happens inside administrative documents.
Trend Three: The real action is outside the catalog. New organizational forms—like AI colleges, future technology institutes, modern industry schools—are appearing faster than official major names. A major name is just a label. The real change is how universities group people and resources to solve new problems.
So what does this mean for you? First, stop thinking “I need to learn AI.” Start thinking “I need to see how AI is reshaping my field.” Second, use tools like the “second brain”—let AI do the research for you. I gave it one question, it did a policy data investigation that would have taken me weeks. That’s the practical edge: not just knowing, but being able to act on knowing.
Knowledge without action is just trivia. The action here? Run your own AI-driven analysis on something you care about. Start with one department’s changes over three years. You’ll see a map you never knew existed.