For more than a decade, Kazakhstan has been talking about economic diversification: advanced manufacturing, pharmaceuticals, artificial intelligence, new materials, and more sophisticated exports. Yet all of these ambitions share one prerequisite that rarely makes the policy agenda. Every one of them depends on graduates entering the labor market with up-to-date knowledge, not knowledge that became obsolete before they left university. And this is where a gap emerges – one that university rankings and graduation statistics simply do not capture.
Economists Barbara Biasi of Yale University and Sun Ma of Emory University set out to measure this gap directly in “The Education-Innovation Gap,” a working paper published by the National Bureau of Economic Research (NBER). They compared the content of 1.7 million university courses with more than 20 million scientific publications to determine how closely university teaching reflects the current research frontier. Rather than relying on traditional indicators such as enrollment or university rankings, they used natural language processing to measure the distance between course content and the latest scientific knowledge. The results were striking. Moving the average course from the most outdated group to the most up-to-date one would require replacing roughly 70% of its content. This is far more than updating a reading list. It means creating an almost entirely new course.
For decades, the relationship between research and higher education was assumed to be almost automatic. Scientists made discoveries, universities gradually incorporated them into their curricula, and graduates entered the workforce equipped with modern knowledge. That model worked when technological progress moved relatively slowly. Today, science advances much faster than curricula can keep up. Courses are approved for years at a time, program reviews are infrequent, and the lag between discovery and classroom teaching has become an economic challenge rather than a technical detail.
Why outdated knowledge becomes an economic problem
For Kazakhstan, this is far from theoretical. Employers, from manufacturers to technology companies, have been making the same complaint for years: graduates arrive with degrees but lack experience with modern equipment and contemporary methods. The National Chamber of Entrepreneurs Atameken has repeatedly highlighted this issue in discussions with business leaders. The problem is not the number of diplomas being awarded, but what those diplomas actually represent. In 2026, Kazakhstan’s universities are expected to graduate a record 193,000 specialists, yet many of them will once again discover that the labor market values skills different from those they were taught.
A diploma alone solves very little. Imagine two engineers with the same qualification. One studied the technologies currently shaping the industry. The other learned approaches that are already becoming outdated. On paper, both hold identical degrees. In practice, the first contributes to projects immediately, while the second must be retrained at the employer’s expense. For businesses, that means higher adaptation costs. For Kazakh manufacturers expanding production in pharmaceuticals, automotive assembly, and advanced manufacturing, it becomes a direct obstacle to launching new production lines and bringing new products to market.
The instructor matters more than the institution
Biasi and Ma’s central finding overturns the conventional wisdom about where this gap originates. One might assume that the decisive factor is the university itself – its budget, research capacity, or international ranking. Instead, they find that the institution explains relatively little. The individual instructor matters far more. Faculty members who actively publish research and receive citations are significantly more likely to keep their courses up to date, particularly in master’s and doctoral programs.
This finding challenges the widespread belief that academics must choose between research and teaching. In reality, research is precisely what keeps teaching current. When instructors lose touch with the scientific frontier, their courses inevitably age with them.
Kazakhstan’s R&D gap reaches the classroom
This exposes a deeper structural problem in Kazakhstan: the country’s research system remains chronically underfunded. Spending on research and development has stayed below 0.16% of GDP for a second consecutive year – far below the level needed to keep university faculty broadly engaged in cutting-edge research. Government funding increased by 19% in 2025 to 261.5 billion tenge, yet the state’s share of total R&D spending also climbed to 81.5%, reflecting the limited involvement of the private sector in generating the research that could continuously refresh university curricula. Even under current projections, Kazakhstan is unlikely to reach 1% of GDP devoted to science before 2027. Until that foundation expands, many instructors simply have too little access to the latest research that distinguishes a modern course from an outdated one.
Two speeds of higher education in one country
The study also highlights another form of inequality that rarely appears in economic debates. Universities serving students from more affluent backgrounds consistently offer curricula that are closer to the scientific frontier, even after accounting for institutional budgets, student quality, and university size. In other words, the difference is not explained solely by money or selective admissions. It is embedded in what students are actually taught.
The pattern is easy to recognize in Kazakhstan. Nazarbayev University operates under its own academic standards and outside the direct administrative control of the Ministry of Science and Higher Education. That gives it greater flexibility to update programs quickly and maintain stronger links between teaching and faculty research. Most students, however, attend regional universities that operate within the national registry of educational programs, where curriculum revisions move more slowly and research funding is far more limited. The result is two higher education systems within one country, updating at very different speeds. Long before graduation, students begin accumulating very different levels of current knowledge.
The economic consequences are greater than they may first appear. Innovation does not emerge on its own. It happens when large numbers of professionals begin working with new knowledge simultaneously. If knowledge spreads slowly, new technologies spread slowly as well. Companies become more cautious about adopting advanced solutions, and productivity grows more slowly. In another paper, “Frontier Knowledge in College and Student Success,” Biasi and Ma document the other side of the equation: students whose courses are closer to the scientific frontier are more likely to pursue doctoral degrees, more likely to file patents, less likely to drop out, and tend to earn higher incomes.
What Kazakhstan should measure instead of diplomas
Kazakhstan already has a formal response to part of this challenge through its 2023 Concept for the Development of Higher Education and Science through 2029. The strategy expands the number of government scholarships and aims to double student stipends by 2029, lowering financial barriers to higher education. Yet its primary focus is expanding access rather than increasing the speed at which curricula incorporate new scientific knowledge. Biasi and Ma identify precisely this speed as the decisive factor, yet Kazakhstan still does not systematically measure it. No one tracks how many years it takes for a new scientific breakthrough to become part of a university lecture.
This raises a broader question about how universities themselves should be evaluated. For years, the dominant indicators have been international rankings, publication counts, funding levels, and the number of international students. Biasi and Ma show that once these factors are taken into account, a university’s ownership model, size, and budget explain relatively little about how current its curriculum is. Faculty research activity, however, continues to matter. Investment in science therefore delivers a double return: it generates new knowledge while simultaneously accelerating its transfer into the classroom.
For Kazakhstan, this points to a practical agenda. Instead of counting newly approved academic programs, measure how quickly existing ones are updated. Instead of simply tracking faculty publications, assess how many research findings become part of teaching within a few years. Instead of celebrating the number of diplomas awarded, evaluate the knowledge graduates actually bring into a labor market where 193,000 new degree holders will compete this year alone.
Technology can be purchased. Equipment can be imported. Investment can be attracted. But the ability to spread new knowledge rapidly throughout an economy cannot be bought abroad. It must be built within a country’s own education and research system. As long as Kazakhstan spends just 0.16% of GDP on science while measuring university modernization by everything except speed, it risks preparing specialists for an economy that has already passed – precisely when it is trying to build the next one.
Elvira Baturova, EconomyKZ Research Group, exclusively for EconomyKZ.org
