China Deleted 12,200 University Degrees. Here Is What Asia Must Do Next.

Between 2021 and 2025, China quietly did something that no other country has attempted at this scale: it deleted more than 30 percent of its university degree programs.

12,200 undergraduate programs were revoked or suspended. Roughly 10,200 new ones replaced them. The subjects cut were arts, humanities, foreign languages, and management disciplines — fields Chinese authorities classified as oversaturated in a shrinking job market. The subjects added were artificial intelligence, embodied intelligence, brain-computer interfaces, agricultural robotics, and carbon neutrality technologies.

Nine of China's top universities have already introduced dedicated majors in embodied intelligence — a field that did not exist as a formal discipline five years ago. This is not a marginal curriculum adjustment. It is the largest academic restructuring any major country has executed in a generation.

With 12.7 million university graduates expected to enter China's job market in 2026 — the largest graduate cohort in Chinese history — the government decided that the existing degree structure was not fit for purpose. This is what it replaced, what it added, and what every country that has not yet made this decision should understand.

## What China Actually Eliminated and Why

The cuts targeted what Chinese education authorities called "oversaturated" disciplines: programmes in public administration, certain business management specialisations, some foreign language tracks, and humanities courses that graduates were completing only to find no corresponding jobs.

This was not random. China's Ministry of Education runs a detailed employment outcome tracking system for every undergraduate programme in the country. Programmes where graduate employment rates fell below defined thresholds over multiple consecutive years were flagged for review. When those same programmes showed high rates of graduates working outside their field — meaning the degree itself had no labour market signal — they were candidates for suspension or revocation.

The data underneath the 12,200 number tells the actual story. These were not all beloved programmes being arbitrarily shut down. Many were programmes that had expanded rapidly during the 2000s and 2010s when Chinese university enrolment grew faster than labour market absorption. A university in a Tier-3 city that started a business administration programme in 2008 because the field was growing may have found by 2022 that it had 400 graduates per year competing for 40 relevant jobs in the local economy.

The cuts are ruthless. They are also, by the data, rational.

## What China Added: Embodied Intelligence, Brain-Computer Interfaces, and What These Mean

The 10,200 new programmes are the more important story.

**Embodied Intelligence** is the field that covers AI systems that exist in physical bodies — robots, autonomous vehicles, smart manufacturing systems, and humanoid machines that interact with the physical world. It is distinct from language model AI (which processes text) or vision AI (which processes images). Embodied intelligence systems must sense, reason about, and act in three-dimensional physical environments in real time. Nine Chinese universities now offer undergraduate majors in this field. No Western university has a comparable standalone undergraduate programme.

China's interest is not academic. The country is investing heavily in humanoid robotics — companies like Unitree, Fourier, and UBTECH are building production-scale humanoid robots that compete with Boston Dynamics and Figure AI. The embodied intelligence graduates being produced starting in 2026 will enter a domestic industry that needs them within three to five years at scale.

**Brain-Computer Interface (BCI) programmes** address the hardware-neural interface field that Neuralink has made famous in the West. China has multiple domestic BCI companies — BrainCo, NeuraMatrix, and others — operating with government backing. Having undergraduate-level graduates who understand both neuroscience and signal processing creates a talent base that imported degrees in either biology or electrical engineering alone do not provide.

**Agricultural Robotics** addresses one of China's real structural challenges: a shrinking agricultural workforce and a food security mandate that requires maintaining production with fewer human workers. An undergraduate programme combining robotics, sensors, soil science, and machine learning is purpose-built for this problem in a way that a general engineering degree is not.

**Carbon Neutrality programmes** align with China's 2060 carbon neutrality pledge. The energy transition requires engineers who understand grid infrastructure, battery chemistry, renewable generation, and carbon accounting simultaneously. A dedicated programme produces this profile more efficiently than assembling it from separate disciplines.

The pattern across all additions is the same: China identified specific economic and strategic priorities, identified the exact graduate profiles those priorities require, and created the programmes to produce them.

## The Scale of the Problem China Is Solving

12.7 million graduates entering the job market in 2026 is a number that requires a moment of context.

The entire population of Portugal is 10 million people. China is producing more university graduates in one year than Portugal's entire population, into a labour market where AI is simultaneously beginning to replace the exact kind of routine cognitive work that arts, management, and some language graduates were trained for.

Youth unemployment in China hit 21.3 percent in June 2023 before the government stopped publishing the monthly figure. When it resumed in January 2024 under a revised methodology, it showed 14.9 percent — still the highest in a decade and a direct consequence of too many graduates chasing too few professional-track jobs.

The degree restructuring is partly a correction of a mismatch that built up over twenty years. Chinese universities expanded rapidly after the early 2000s reforms that massively increased enrolment. Many universities created programmes based on what was popular — which in many cases meant management, business, and the humanities — rather than what the economy actually needed. The result was credential inflation: a generation of graduates with degrees that carried diminishing labour market value.

The 12,200 programme cuts are, in part, the correction of that twenty-year structural error.

## What This Means for Chinese Students Today

For students currently in cut programmes, the transition has protections: students already enrolled in suspended programmes can complete their degrees. The cuts apply to new enrolments, not existing students.

For students choosing programmes in 2026 and beyond, the signal is clear and somewhat blunt: the government has decided which fields have futures and which do not, and has structured the university system accordingly.

This has real costs. A student who wanted to study classical Chinese literature, or French, or public history, now finds fewer programmes available at fewer institutions. The argument that humanities graduates develop critical thinking, communication, and analytical skills that are valuable across industries — an argument made strongly by liberal arts advocates — does not appear to have been decisive in China's calculus.

What Chinese students gain: programmes that are designed to produce specific skills with documented labour market demand. The embodied intelligence major is built around what the robotics industry actually needs from a new hire. The agricultural robotics programme is built around what precision farming operations actually require. The chance of graduating into a relevant job, in a relevant industry, at a relevant salary, is structurally higher when the programme was designed backwards from that outcome.

The question China is implicitly answering is: should a university be a place where students explore ideas freely, or a place that prepares citizens for economic participation? China has chosen the second answer, clearly and at scale. That is a values choice as much as a policy choice, and it is worth naming honestly.

## India's Approach: Reform Without Revolution

India is facing a structurally similar problem with a dramatically different policy response.

India's New Education Policy (NEP) 2020, now being implemented through UGC reforms, takes a multidisciplinary approach: the four-year undergraduate structure with multiple exit points, a credit-based Academic Bank of Credits allowing students to mix programmes across institutions, and mandatory AI literacy integration from Class 3 upward in schools. The Union Budget 2026-27 allocates ₹1.39 lakh crore to education — an 8.27 percent increase — with ₹55,727 crore to higher education and a specific AI in education push through Centres of Excellence.

India is also planning to integrate AI and Computational Thinking as mandatory subjects across all schools from Class 3, beginning the 2026-27 academic year.

The difference in approach is significant. India is adding AI around existing degrees — building AI literacy into a commerce degree, requiring AI modules in an arts programme. China eliminated the arts programme and replaced it with an AI-native field.

The Indian approach has important advantages. It preserves breadth. A student who learns AI tools within a humanities context might develop applications that a purely technical graduate would not think of. India's IT services industry — the economic engine behind Infosys, TCS, and Wipro — was built partly on exactly this kind of cross-disciplinary flexibility: arts graduates who learned programming, commerce students who became systems analysts.

But India's approach also has a real risk: if AI literacy modules added to existing programmes are poorly designed or under-resourced, the outcome is graduates with theoretical exposure to AI but no practical depth. A four-year computer science degree with one semester of machine learning is not the same as a programme designed from the ground up around the job market for AI infrastructure. China is building the second. India risks delivering the first.

India produces approximately 9.4 lakh engineering graduates per year. Only around 18 percent of those graduates are considered immediately employable in their field by major IT recruiters — a number that has not improved substantially in a decade. The gap between degree and employability in India is not primarily a matter of which subjects are offered. It is a matter of teaching quality, practical curriculum design, and industry alignment inside programmes. NEP's credit flexibility helps. But the more fundamental issue — whether what is taught inside those credits matches what the economy needs — requires a harder look than India has yet taken.

## What Other Asian Countries Are Doing

South Korea launched its "AI-Integrated Curriculum" reform in 2023, requiring all universities receiving national funding to demonstrate AI integration across at least 30 percent of programmes by 2027. Unlike China's top-down elimination model, South Korea uses funding incentives — universities that meet the 30 percent threshold receive additional research grants; those that do not face funding reductions. The carrot-and-stick approach has produced rapid movement without forced programme closures.

Japan's Society 5.0 framework, running since 2019, requires what it calls "DX (Digital Transformation) literacy" across all national university graduates by 2025. Japan has specifically avoided eliminating humanities programmes — partly due to political resistance, partly due to a genuine belief that human-AI collaboration requires graduates who understand social context, ethics, and communication. The Japanese model emphasises hybrid graduates: an economics student who can code, a literature student who understands data analysis.

Singapore's SkillsFuture programme takes the most market-responsive approach: rather than redesigning university degrees, it funds continuous upskilling for workers at every career stage. The assumption is that no university degree, regardless of how well designed in 2026, will remain fully current by 2030. The investment in lifelong learning infrastructure rather than degree restructuring alone reflects a small-country pragmatism about the pace of change.

Vietnam and Indonesia are both in early stages of curriculum reform, watching China's model closely. Vietnam's Ministry of Education announced a review of all undergraduate programmes in 2025 with an explicit mandate to identify AI-ready equivalents for currently offered degrees. Indonesia's Merdeka Belajar (Freedom to Learn) reform shares some structural similarities with India's NEP — flexibility, credit portability, industry alignment — without the hard degree elimination that China has implemented.

## Our Analysis: China Is Right About the Problem and Ruthless About the Solution

The global education system was largely designed in the early twentieth century to produce workers for industrial and administrative roles that the twenty-first century is restructuring faster than curricula can adapt.

China's 12,200 programme cut is ruthless. It will cause real hardship for students who wanted to study fields that are now unavailable. It concentrates risk: if the jobs China expects embodied intelligence graduates to fill do not materialise at projected scale, those graduates have fewer transferable fallback skills than a humanities graduate who learned to write, research, and communicate across domains.

But China is correct about the underlying problem. A degree that was designed for a job market that AI is restructuring, taught by a curriculum that has not been updated in a decade, producing graduates whose employment outcomes confirm a mismatch with economic demand, is not serving students. It is collecting their fees and their years and giving them credentials with shrinking signal value.

Every country in Asia — and beyond — is facing a version of the same structural choice: adapt university programmes to what the economy of the next decade will require, or continue producing graduates whose degrees increasingly do not align with available work.

India, South Korea, Japan, and Southeast Asia are all choosing adaptation paths that preserve more student choice and academic breadth than China's model. Those paths may be more humane and more politically sustainable. Whether they are fast enough, and deep enough in their changes, is the question that the next decade of graduate employment data will answer.

China has made its bet. It is a large bet, made with characteristic speed and scale. The countries watching from the outside should be asking not whether China's approach is exactly right, but whether their own approach is adequate to the same problem.

## Key Takeaways

- **12,200 undergraduate programs eliminated** in China between 2021 and 2025 — more than 30% of all university degree offerings nationwide — with 10,200 new programs added in AI, embodied intelligence, robotics, and frontier technology
- **Fields cut**: arts, humanities, foreign languages, management disciplines — classified as oversaturated based on employment outcome tracking data showing graduates not working in their field
- **Fields added**: embodied intelligence (9 universities launched new majors), brain-computer interfaces, agricultural robotics, carbon neutrality technology, and AI-native disciplines with no direct predecessor
- **The pressure behind the decision**: 12.7 million university graduates expected in 2026 (largest cohort ever); youth unemployment reached 21.3% in mid-2023; credential inflation from two decades of rapid university expansion
- **India's NEP response**: four-year flexible degrees, credit portability, AI from Class 3 in schools, ₹55,727 crore higher education budget — a multidisciplinary integration approach, NOT programme elimination; risk is shallow AI literacy without practical depth
- **South Korea**: funding incentive model — 30% AI integration threshold for national university grants by 2027, carrot-and-stick without forced closures
- **Japan**: "hybrid graduate" model — economics students who can code, literature students who understand data; Society 5.0 DX literacy requirement across all national university programmes
- **The core question every country must answer**: is current degree restructuring fast enough and deep enough to match what AI is doing to the labour markets graduates will enter in 2027-2030?

## Sources

- [China's Universities Cut 12,000 Obsolete Degrees Amid Race to Embrace AI Era — South China Morning Post](https://www.scmp.com/economy/china-economy/article/3356913/chinas-universities-cut-12000-obsolete-degrees-amid-race-embrace-ai-era)
- [China Scraps 12,000 Degrees in Biggest Academic Overhaul in Years — The Deep Dive](https://thedeepdive.ca/china-scraps-12000-degrees-in-biggest-academic-overhaul-in-years/)
- [China's Top Universities Plan to Roll Out Embodied Intelligence Majors — AOL/Reuters](https://www.aol.com/articles/chinas-top-universities-plan-roll-050847361.html)
- [The Twilight of the University: China's Bold Cut of 12,000 Degrees — Eurasia Review](https://www.eurasiareview.com/15062026-the-twilight-of-the-university-chinas-bold-cut-of-12000-degrees-signals-a-paradigm-shift-education-can-no-longer-ignore-oped/)
- [China Cuts 12,000 University Degrees in Major AI-Era Education Overhaul — ProPakistani](https://propakistani.pk/2026/06/15/china-cuts-12000-university-degrees-in-major-ai-era-education-overhaul/)
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- [Our coverage: NEET 2026 Cancelled — How AI and Blockchain Can End Global Exam Fraud](/blog/neet-2026-cancelled-ai-blockchain-exam-fraud-prevention-universities-global)