China’s long march to technological supremacy
https://arab.news/gefue
As scientists, we had the uneasy privilege of witnessing China’s rise earlier than most. Long before a country’s regional or global dominance shows up in macroeconomic aggregates and stock valuations, it can be inferred from the kinds of signals that scientists notice: scholarly publications, patents, talent formation, infrastructure investments, industrial coordination and the growth of capacity in strategic fields.
What many see as a sudden leap forward is really the predictable result of long-term planning and statecraft, all guided by the understanding that technological power rests on fundamental research and strong institutions. With five universities among the world’s top 40 and 35 in the top 500, Chinese institutions will almost certainly come to rival the likes of Oxford, Massachusetts Institute of Technology, Harvard and Cambridge. Their entry into the global top 10 is a matter of when, not if.
China’s research and development prowess has been visible in research output, patents, doctorates and critical technologies for years, even as many investors, commentators and policymakers continued to dismiss it. The “DeepSeek moment” was a case in point. The launch of a Chinese large language model with capabilities similar to those from the leading US labs looked like a fluke, when in fact it was the downstream outcome of years of accumulated research capacity in China’s artificial intelligence ecosystem.
Of course, the market tends to react only after such capabilities crystallize into competitive products. But when it does react, it can do so very quickly. The volatility of Nvidia’s stock price after DeepSeek was unveiled illustrates how radically expectations can change when a new player with a competitive advantage arrives. Whether any single model displaces an incumbent is a secondary issue. What matters more is that China’s growing strength in research increases the likelihood of such competitive challenges, with capabilities long evident to scientists suddenly translating into market-moving events.
A key battleground — where science and technology provide the edge in a much larger geopolitical rivalry — is energy. As the world leader in solar, wind and battery technologies, China is positioned to power the increasingly digital and data center-heavy economy of the future with clean electricity. In 2025 alone, China expanded its power capacity by more than 500 gigawatts, 80 percent of which came from solar and wind. The capacity China has added since 2021 is larger than the entire power capacity of the US.
While China is anchoring its energy strategy to the scientific frontier, the US is going backwards by promoting coal, oil and gas, while gratuitously killing off clean energy projects. This approach not only threatens US dominance in science and technology but also accelerates global warming and diminishes the US economy’s long-term competitiveness. Research increasingly shows that economic development constrained by scientifically defined limits — such as the 1.5 degrees Celsius global warming target set by the Paris climate agreement — leads to greater efficiencies and technological innovation.
Hence, China’s core goal of creating an “ecological civilization” is likely to accelerate its own scientific achievements. In 2024, scientists at Tsinghua surprised the climate science community by publishing an analysis of the remaining global carbon budget six months earlier than expected, owing to their use of new big data methodologies.
China’s five-year plans are instruments for aligning finance, infrastructure, education, procurement and industrial investments.
Johan Rockstrom and Inga Strumke
While liberal democracies lurch from quarter to quarter, China has been steadily building industrial and research capacities across strategic sectors such as batteries, electric vehicles, solar, telecommunications, advanced manufacturing and AI-enabling infrastructure. According to the Australian Strategic Policy Institute’s critical technology tracker, China leads in 57 of 64 frontier technologies measured over the 2019 to 2023 period, up from just three two decades earlier.
In short: China lays out a strategy and then acts accordingly. Its five-year plans are instruments for aligning finance, infrastructure, education, procurement and industrial investments over long time horizons. The 15th Five-Year Plan centers on scientific and technological self-reliance, with Chinese leaders framing technology as the backbone of national development and security. China’s R&D spending grew by 8.7 percent in 2023, far above the Organisation for Economic Co-operation and Development average and that of both the US and the EU. No wonder the World Intellectual Property Organization now ranks China among the world’s most innovative economies — especially in terms of knowledge and technology outputs.
To be sure, China has benefited enormously from access to global markets, foreign capital, imported know-how, integration into international supply chains and access to existing scientific breakthroughs. Combined with domestic investments in education and scientific research capacity, these made the country’s historic development possible. But now the geopolitical tide is shifting, and, having gained from openness, China is pursuing technological independence, especially in strategically sensitive domains.
China successfully pursued a long-term strategy to dominate the technologies that will shape this century and it is unlikely to share the returns it generated from globalization. In this year of the fire horse, everyone ought to realize what has already been visible to the scientific community for quite some time: China has gone from a trot to a gallop.
• Johan Rockstrom, Director of the Potsdam Institute for Climate Impact Research and Professor in Earth System Science at the University of Potsdam, is Co-Chair of the Global Commission on the Economics of Water.
• Inga Strumke is Associate Professor in Artificial Intelligence at the Norwegian University of Science and Technology and the author of “Machines that Think: How Artificial Intelligence Works and What It Means for Us” (Rheinwerk Publishing, 2026).
©Project Syndicate

































