The eminent scientist and sinologist Joseph Needham famously formulated two questions on Chinese science and expertise (S&T) in his 1969 e book The Great Titration: Science and Society in East and West: 1) Why did fashionable science not develop in Chinese (or Indian) civilisation however solely in Europe? 2) Why was Chinese civilisation far more environment friendly than the West in making use of human pure information to sensible human wants, up till the fifteenth century?
For the primary query, Needham famous that the Confucian dogma of the robust central bureaucratic state had constrained the expansion of commerce and trade in early fashionable China. Moreover, he argued that Chinese science was primarily based on “the philosophy of organism”, the place the universe was seen as a harmonious, interconnected complete with out an exterior creator. In distinction, European mechanistic pure philosophy noticed the universe as a machine created by a divine lawgiver and thus topic to discoverable mathematical legal guidelines and experimentation — core points of contemporary science.
But this paper will not be involved with Needham’s questions of their unique sense. It could be extra related at present to debate an inverted model of the questions, particularly 1) Why is China growing new contributions to world science and innovation? 2) Why is there another dynamism in Chinese innovation?
For a long time, influential Western observers have lambasted China’s financial system as technologically stagnant, missing creativity in analysis and innovation, depending on Western information and expertise, and supported by unfair subsidies from the federal government. While extra analyses at present acknowledge a new dynamism within the growth of S&T in China, they’re usually portrayed in militaristic headlines, akin to a “US-China Tech War” or the “Thucydides Trap” the place a rising energy threatens to displace a longtime nice energy.
That mentioned, some items supply a extra insightful studying, akin to Dan Wang’s Breakneck, which argues that China is an engineering state, which brings a sledgehammer to issues each bodily and social, in distinction with America’s lawyerly society, which brings a gavel to dam nearly every part, good and dangerous.
Since the flip of the century, the Chinese management has supported a surge in analysis and growth (R&D) expenditures, which grew by over 23 instances between 2000 and 2022. Moreover, China’s gross expenditures on R&D (GERD) in 2023 reached 96% of US GERD, up from 72% in 2013. Central authorities spending on S&T is about to extend by 10% in 2026, at the same time as different areas face finances cuts. The 2026 Government Work Report set a goal for nationwide R&D spending to extend by a mean of a minimum of 7% yearly through the fifteenth Five-Year Plan (2026-2030).
China’s share of worldwide R&D expenditures has thus surged from 4% in 2000 to over 27% in 2025. Simultaneously, China’s R&D intensity as a proportion of GDP elevated from 0.89% in 2000 to 2.8% in 2025, exceeding the typical determine for OECD. According to a current report, China is prone to eclipse the US because the world’s largest funder of public science by 2028.
The enterprise sector has constantly been the principle driver of R&D in China, accounting for a majority of complete spending. Its share of GERD has elevated from round 70% within the late Nineties to 76% in 2023. As Trelysa Long’s ITIF report exhibits, US companies expanded R&D investments by 150% from 2014 to 2024, whereas Chinese companies elevated theirs by a unprecedented 537%. In distinction, companies in the remainder of the world elevated their R&D investments by just 32%.
Furthermore, the efficient worth of those Chinese R&D investments is additional enhanced by the supply and comparatively low price of human assets. China’s researcher workforce is the most important on the planet by way of the variety of full-time equal (FTE) analysis positions, having overtaken the US since 2009 and the EU in 2018.
In 2018, China overtook the US by way of the whole variety of science publications, in keeping with statistics compiled by the US National Science Foundation (NSF). China has constantly elevated its share of the 1% high scientific publications since 2005 and outpaced European international locations (together with Great Britain) in 2019.
Moreover, as Caroline S. Wagner has lately demonstrated, Chinese publications on the planet’s elite pure science journals — together with Nature, Science, Cell and Physical Review Letters — in 2024 reached a complete of 37,273 articles, in comparison with America’s 31,930. In addition, China’s share on the planet’s high 1% of most extremely cited papers for 2024 had already achieved tough parity with the US, indicating that the standard of a vital variety of Chinese publications was on a par with these from the US.
The area of synthetic intelligence (AI) reveals a lot of the character of progressive efficiency and the rivalry between the West and the East. Situating US and China by way of scientific output and invention patents associated to AI offers a basic image of how the 2 international locations have developed their competences in AI. Besides, it’s attention-grabbing to watch how coverage makers and a vary of actors in China and the US have made strategic priorities for the sector.
The development of AI in China took off through the Nineties, when the digitalisation of the Chinese financial system underscored the necessity to develop AI. The competitors between the main digital platforms, referred to as BAT (Baidu, Alibaba, Tencent), created speedy growth of AI for serps within the first decade after 2000. Not solely that, a number of firms emerged that developed AI for particular companies, e.g. Sensetime for facial recognition and iFlyTek for computerized translation.
In 2017 the Chinese authorities issued a technique for AI referred to as “A New Generation Development Plan for Artificial Intelligence”. This technique envisages three phases of growth as much as 2030 through which Chinese theories, applied sciences and functions of AI will change into globally main and China’s AI trade will likely be internationally aggressive.
Chinese scientific publications within the area of AI have additionally grown considerably since then, reaching 24,000 publications by 2024. Indeed, Chinese output by quantity in 2024 is the same as the sum of the EU-27, UK and US throughout the identical 12 months mixed. Simultaneously, the standard of AI publications from China has elevated. While Chinese publications acquired solely a few citations in 2000, in 2024 the proportion of citations to Chinese analysis elevated to just over 40% of worldwide citations. The US and EU-27, by comparability, every acquired just round 10% of worldwide citations in 2024, with the UK at a 2% stage.
An identical image emerges when the extent of patenting in AI is examined. From 2010 to 2023, the US patent and trademark workplace and the Chinese mental property administration granted 659,504 and 651,629 AI patents, respectively. Both international locations have skilled speedy progress in AI patenting, with a notably sharp acceleration lately. Thus, China has overtaken the US within the complete annual variety of AI patents granted since 2020.
In January 2025 a finance firm from Zhejiang province launched DeepSeek, a giant language mannequin referred to as R1 that might compete with chatbots and different AI-based instruments like OpenAI’s ChatGPT. DeepSeek supplied its fashions as “open weight”, that means that the mannequin’s educated parameters (weights) are publicly accessible. This created a development for different Chinese AI firms, who usually leveraged components of DeepSeek’s fashions and launched open fashions of their very own.
Insights on China, proper in your mailbox. Sign up now.
The authorities’s coverage on AI has additionally advanced for the reason that first AI technique was introduced in 2017. On 27 August 2025, China’s State Council issued a new action plan called AI+, which requires extra concrete ambitions for the nation’s nationwide AI technique within the coming years. The purpose is to realize 70% AI adoption in key sectors by 2027 and 90% by 2030, with a additional imaginative and prescient of constructing a absolutely AI-powered financial system by 2035.
Chinese AI builders nonetheless wrestle with entry to essentially the most superior semiconductors for AI as a consequence of US export restrictions. This means they’re lagging behind American tech giants by way of amenities for compute. But then again, China has constructed a extra sturdy telecommunications and electrical energy grid and is increasing information centres within the inside provinces.
The Chinese management has chosen to see AI as a general-purpose technology that can be capable to remodel the Chinese financial system, much like how the steam engines remodeled Europe through the age of industrialisation. China has been constructing an automation and robotics trade for many years, and the fifteenth Five-Year Plan declared a new deal with “embodied-AI”, which stands for the whole integration of digital AI with {hardware}.
Moreover, the emphasis on open-source AI fashions in China permits companies to create methods for particular sectors, notably designed to extend effectivity and effectiveness within the efficiency of producers. This emphasis has additionally allowed Chinese fashions to be exported as a key enter for the event of applicable AI within the Global South.
America occupies a place on the forefront of AI innovation, with robust competencies in each {hardware} and software program. The evolution of AI expertise was initially formed by tutorial excellence, with the publication of AI-related scientific analysis outcomes main the world. As a outcome, American firms akin to Nvidia and AMD have change into leaders within the manufacture of superior chips for coaching and utilising AI. Moreover, firms like OpenAI, Anthropic and main tech giants have developed essentially the most superior giant language fashions.
Large investments in information centres with superior AI chips assist to safe American companies a main place in future AI fashions and infrastructure. Underlying this strategy are the aggressive benefits in {hardware}, however American companies have additionally been on the forefront of superior software program for coding AI fashions. For instance, Nvidia created the highly effective parallel computing platform CUDA (Compute Unified Device Architecture) which is ready to considerably speed up duties in AI. Another vital AI associated software program is Code Llama, a state-of-the-art giant language mannequin for coding, which was developed by Meta AI.
The deal with large language models (LLMs) and generative AI (GenAI), and finally Artificial General Intelligence (AGI), has formed the principle functions of AI. For occasion, generative fashions have been utilized to drug discovery, and huge repositories of medical information are used to coach diagnostic methods. LLMs have additionally been utilized in finance industries for customer support automation, and in leisure industries for music composition, script growth, and picture or video era.
In spite of the preliminary enthusiasm that GenAI launched in these sectors, nonetheless, a 2025 report from the Massachusetts Institute of Technology revealed that 95% of the US company world reported getting zero return on their AI tasks. Only 5% of built-in AI pilot tasks had been extracting thousands and thousands of {dollars} in worth, whereas the overwhelming majority remained caught with no measurable influence for the organisation. Many enterprises had been eagerly piloting GenAI instruments, however only a few reached full deployment of AI, principally as a consequence of integration complexity and lack of match with current workflows.
The dependence on giant information processing amenities has additional accentuated a downside of entry to plentiful power. Upgrading the US’s aged electrical energy grid — a fragmented, hybrid system primarily owned by personal, investor-owned utilities — will want time and substantial funding. The plans to determine giant information centres in numerous localities have already raised public concern concerning the feasibility of continued native provide. Similar points have been raised concerning the influence of information centre cooling amenities on native water provide.
Donald Trump declared in 2025: “America is the country that started the AI race. And as President of the United States, I’m here today to declare that America is going to win it.” The Trump administration issued the four-page memorandum A National Policy Framework for Artificial Intelligence in March 2026, allegedly to guard youngsters, safeguard American communities and allow innovation to make sure American AI dominance. However, this coverage assertion has been criticised as inadequate, each to advertise the AI industries and to manage the functions of AI.
This temporary assessment of the comparative growth of innovation and AI growth in China and the US can not supply a fail-safe guess on which place will “win”, however as a substitute factors to divergent methods and efficiency. American benefits in foundational {hardware} and fashions present the nation with a main place. However, by way of the implementation of AI within the financial system, the American expertise could face new challenges. In distinction, China’s utility of AI in automation capitalises on the in depth and superior digital infrastructure and manufacturing background that the nation has constructed over a number of a long time.
When Joseph Needham set out on his quest to find and doc S&T in China, he was positively not involved with one thing just like the “Europe-China tech war”, however with displaying that the Chinese individuals had a lengthy custom of discoveries that had additionally helped expertise growth in Europe. The indisputable fact that European fashionable S&T helped the British defeat the Chinese empire within the Opium War of 1840 was, in his view, regrettable, not a triumph. Why can we must be always instructed that China’s emergence as a main contributor to world S&T is a “threat” — a design to wage tech conflict in opposition to the West?
The essence of my argument right here is that inverting the Needham questions re-focuses the talk on China and the West to elucidate the brand new divergence — exploring different growth paths. What are the elements fuelling scientific achievements and progressive capabilities in up to date Chinese civilisation, and do these elements present another world mannequin for progressive dynamism?