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Conor right here: Noting the authors’ backgrounds, their argument is unsurprising. However seeing that a lot of what’s bought as tech breakthroughs and AI innovation is absolutely simply theft on an unprecedented scale, calls for for limitless sources for the profit just a few, shredding the social contract, environmental destruction, new and improved surveillance, and instruments that make individuals dumber, and so forth., are there not advantages to being a laggard?
By Alicia García-Herrero and Michal Krystyanczuk. García Herrero is the Chief Economist for Asia Pacific at French funding financial institution Natixis, a Board Member of AGEAS insurance coverage group, and a Senior Fellow at Bruegel. She focuses on rising markets, with specific consideration to Asia and Asia-European Union relations. Krystyanczuk is an skilled Knowledge Scientist whose objective is to allow the usage of Synthetic Intelligence to make an influence on society. He has been usually performing as a marketing consultant on a number of AI-related initiatives for firms from totally different sectors: prescribed drugs, advertising and marketing, and finance. Initially printed at Bruegel.
Govt Abstract
This Coverage Temporary examines China’s fast ascent in frontier innovation throughout synthetic intelligence, semiconductors and quantum computing, and an important firms behind these breakthroughs. In these three areas, the USA leads total, however China continues to slim the hole and now excels in areas together with semiconductor fabrication, AI video and audio processing and aerial imaginative and prescient. China lags probably the most in quantum computing. The European Union lags considerably behind each the US and China in patent breakthroughs, with barely higher relative efficiency in quantum.
In terms of the diffusion of such breakthroughs, Chinese language and US innovators are a lot sooner than their European counterparts at replicating novel patents from different international locations. European innovators take greater than twice as lengthy to copy US or Chinese language breakthroughs, whether or not in AI, semiconductors or quantum. That Chinese language replication occurs practically as quickly as US replication, even in areas topic to strict export controls, is one other sign of China’s quickly advancing innovation capabilities in important applied sciences.
China stands out when it comes to the range of firms and establishments that dominate the submitting of novel patents. Within the US, breakthroughs are closely concentrated within the big-tech firms. Novel patents originating within the EU are filed by a mixture of firms and public analysis centres, with the telecoms sector dominating greater than in different geographies.
Moreover, China is shifting up the ladder in homegrown innovation in fundamental analysis. That is providing an edge, particularly in semiconductors, to which China has devoted big vitality and funding sources. In contrast, Europe’s fragmented markets and reliance on public analysis restrict scale and maintain again commercialisation. To shut the hole, Europe should enhance analysis and improvement in important applied sciences whereas additional integrating its nationwide innovation ecosystems.
1 Introduction
Supremacy in important applied sciences, specifically synthetic intelligence, semiconductors and quantum computing, has turn out to be a cornerstone of financial and strategic energy. These applied sciences underpin every thing from autonomous weapons to local weather modelling. Management over them shapes world provide chains, nationwide safety and financial resilience.
China’s ascent in these applied sciences has been so fast that there’s a common perception that it would have already got caught up with the USA, guaranteeing the self-reliance that China has lengthy pursued1. For instance, the groundbreaking launch of DeepSeek’s cost-efficient, open-source AI mannequin in early 2025, which outperformed benchmarks from US giants comparable to Meta whereas navigating chip export restrictions, strengthened the notion that China is quickly outpacing the US in AI innovation. The European Union, in the meantime, is taken into account to be lagging with regards to producing breakthroughs in these applied sciences (Draghi, 2024).
On this Coverage Temporary, we present, primarily based on evaluation utilizing giant language fashions (LLMs; García-Herrero et al, 2025a), the place China stands on AI, semiconductors and quantum computing in comparison with the US and the EU. We assess the three economies in line with their fundamental analysis in these fields and look at how shortly every replicates breakthroughs patented by innovators within the others. This query is necessary as a result of if such technological spillovers occur quickly, they’ll mitigate the results of an absence of breakthroughs for international locations or areas that aren’t on the frontier of important applied sciences.
Lastly, we take a look at the businesses or analysis establishments that create most of those breakthroughs, and the way they differ in China, the US and the EU. Our evaluation of that is primarily based on Garcia Herero et al (2025b).
China seems to be succeeding in AI, semiconductors and quantum computing, although with some caveats. Understanding how China has managed to maneuver up the innovation ladder so shortly, and why the EU might have fallen behind, is essential if Europe is to design a simpler innovation technique in these applied sciences. A greater technique will assist shut the hole between the EU and the US and, in lots of instances, between the EU and China.
2 The place Does China Stand?
Since 2019, numbers of Chinese language patent filings in AI, semiconductors and quantum computing have skyrocketed, however, as much as 2023, China had not but outstripped the US (Determine 1)2. By way of patents for ‘radical novelties’, which we outline as new patents for which there aren’t any prior comparable patents and that are then repeated a minimum of 5 occasions in subsequent patents (García-Herrero et al, 2025a), China is second after the US in AI and semiconductors. The EU is in a distant third place, aside from quantum applied sciences, for which the EU and China are about on par when it comes to radical novelties, although each are nonetheless very a lot behind US.
Chinese language progress is especially evident in semiconductor-related radical novelties, adopted by AI and, to a a lot lesser extent, quantum (Determine 2). The US clearly dominates quantum. It additionally dominates AI, though China is getting nearer. For semiconductors, China appears to have moved into the lead however we miss two main gamers on this subject in our evaluation: South Korea and Taiwan. These are nearer to the US ecosystem and feed it with breakthroughs not captured in our evaluation.
Nevertheless, dominance of a subject as broad as AI, semiconductors or quantum computing will not be very informative. Determine 3 on web page 5 summarises a extra granular evaluation of subfields of those important applied sciences.
Beginning with AI, China has made the best strides in laptop imaginative and prescient for surveillance and autonomous methods. China is liable for over 40 % of China/US/EU radical novelties in these fields. China’s comparative benefit in these areas has shortly moved to implementation, with the fast implementation of smart-city digital infrastructure that processes thousands and thousands of knowledge factors daily3. In drone and aerial car AI, Chinese language corporations lead with 55 % of all the China/EU/US breakthroughs. Particularly, China has been pioneering swarm intelligence for logistics, surpassing the US, not to mention the EU4.
In semiconductors, China’s lead is anchored in hardware-intensive and production-oriented subfields. In these areas, China accounts for 65 % of complete novel patents filed by China, the EU and the US, with a transparent concentrate on 3D stacking for high-density reminiscence (García-Herrero et al, 2025a). This know-how is important for cutting-edge AI gadgets, which means that China might most likely produce AI chips if it didn’t face different constraints, particularly in lithography5. China’s fast chips improve has been accompanied by very sturdy governmental help via programmes comparable to Made in China 20256. The growth from semiconductor manufacturing and supplies to robotics and automation additionally displays a deliberate technique to internalise previously imported capabilities, turning industrial coordination right into a technological multiplier.
The sector by which China appears to lag probably the most is quantum. The US dominates many of the quantum subfields, particularly quantum computing. Nonetheless, China excels in some quantum subfields, such trapped-ion methods for scalable sensors that improve precision measurement for purposes comparable to earthquake prediction (Omaar and Makaryan, 2024).
Whereas China has clearly moved up the ladder in important applied sciences, the US stays dominant total for 2 causes. First, the US tends to dominate probably the most superior subfields, together with machine studying, chip design, supplies engineering and quantum methods management. Second, the US has a extra vertically built-in construction, specializing in deepening algorithmic and design specialisation, which may then function foundation for {hardware} breakthroughs. This interconnection accelerates diffusion throughout applied sciences. For instance, algorithmic enhancements in AI improve chip design, whereas advances in quantum management feed again into computing architectures. The identical firms and establishments typically function throughout these boundaries, sustaining innovation cycles even when manufacturing is offshored. The result’s an ecosystem within the US that’s much less various than China’s, however exhausting to copy as a result of it retains management of the design, optimisation and information integration levels, which generate the best spillovers all through the worth chain.
Europe stays sturdy in choose subfields, together with robotics, medical AI, energy electronics, lithography and quantum photonics, however these strengths are clearly extra fragmented and remoted than these of the US and China. Alternatives for the EU to catch up emerge in complementary niches. In quantum photonics, the EU has 28 % of China/US/EU radical novelties, which is greater than China. In AI ethics and explainable fashions, the EU trails minimally at 18 % versus China’s 20 %, with novelties in bias-mitigation frameworks that align with the EU Basic Knowledge Safety Regulation (GDPR, Regulation (EU) 2016/679), providing a pathway to exportable requirements. For semiconductors, Europe’s 15 % share in lithography understates a transparent benefit, bolstered by Dutch firm ASML’s near-monopoly on excessive ultraviolet (EUV) instruments (VerWey, 2024).
All in all, the benefits loved by the US and China benefits are totally different however each sturdy, whereas the EU lags. China’s focus in manufacturing-related applied sciences underpins its capability to scale up following the logic of commercial breadth. America achieves fast suggestions between design and software via tight integration. Europe’s flatter profile displays excellence in particular person areas however weak connectivity. In different phrases, Europe displays depth with out density or scale.
3 Which Corporations Are Driving Innovation?
Innovation ecosystems in China, the US and the EU differ sharply (García-Herrero et al, 2025b). Chinese language innovators by kind are way more various than within the US, whereas Europe lies in between, although it depends extra on public analysis centres.
Within the US, tech firms dominate the entire spectrum of radical novelties. Microsoft, IBM, Intel and Qualcomm stand out for involvement in a number of important applied sciences, whereas Micron Know-how, Google and Amazon additionally among the many top-ten US innovators by variety of novel patents. This excessive focus in tech is a danger, but in addition presents the benefit of fostering synergies. Moreover, this concentrated ecosystem, backed by the world’s largest enterprise capital market, ensures fast commercialisation, although it dangers siloing innovation within the digital realm, reasonably than diversifying throughout industries.
US firms are strongest in design and software-driven areas. Particularly, AI firms together with Microsoft, Google, IBM and Nvidia lead breakthroughs in machine studying and pure language processing, whereas Amazon focuses on utilized pure language processing. In semiconductors, US firms innovate greater than Chinese language or EU firms in chip design, supplies and energy electronics, with Intel, Qualcomm, Utilized Supplies and Micron constructing a dense community of cooperation throughout the worth chain7.
In quantum computing, IBM, together with some key universities, leads in {hardware} and management methods, combining analysis with early business merchandise. These hyperlinks between AI, semiconductors and quantum present sturdy cross-sector spillovers, serving to new concepts transfer quick from labs to market. For instance, Google’s Willow quantum chip, constructed with superior semiconductors and AI error correction, permits fast qubit scaling for battery and drug simulations, with open-source instruments dashing lab concepts to market in minutes for duties past classical supercomputers8.
The heavy focus of tech firms within the US innovation ecosystem for important applied sciences factors to the US’s actual energy: the deep integration of analysis, engineering and commercialisation. This interprets cutting-edge science into scalable applied sciences. That is very true for important applied sciences as a result of their ecosystems reinforce each other: AI relies on superior chips and quantum progress depends on AI-assisted design.
Nevertheless, the focus of fundamental analysis in just a few firms additionally has limits. First, smaller improvements are simply captured by the big-tech firms, which could inhibit new routes, doubtlessly resulting in technological path dependence. In different phrases, the dominance of tech firms, whereas optimistic when it comes to synergies, might stem from innovation by smaller gamers that can’t compete with such large firms, and that are shortly taken over by these tech firms, making it tough to maneuver into totally different innovation paths. Second, the realms of scientific excellence are typically intently linked to what these firms want: digital and algorithmic applied sciences, with much less consideration paid to industrial or {hardware} purposes. In sum, the US important know-how ecosystem is profitable however slim. For the US to remain forward, sustaining its velocity and depth in ‘analysis and improvement won’t be sufficient, except wider participation throughout industries is fostered.
Contrasting clearly with the US, China has a balanced combine of personal and public entities, however its true differentiator is the involvement of very totally different firms from various sectors, making the ecosystem extra various and with various kinds of synergy. Whereas Huawei dominates all three breakthrough fields (AI, chips and quantum), underscoring its significance, there’s a lot higher selection in varieties of firms working in these areas than within the US. Innovation champions in semiconductors (TCL Know-how, Changxin Reminiscence, Yangtze Reminiscence and SMIC) coexist with telecoms giants comparable to Huawei, however breakthroughs additionally come from, for instance, Ping An, an insurance coverage agency, which leads in AI novelties for predictive well being analytics, adapting fashions from finance to biotech for nationwide telemedicine.
Tech platforms together with Tencent and ByteDance innovate in video-processing AI, however so do robotics gamers Autel and UBTECH, pioneering quantum-enhanced sensors for industrial automation. Shopper items agency Haier contributes to environment friendly cooling for information centres. This variety – spanning greater than 15 sectors with tight industry-academia ties, comparable to through Tsinghua College’s hubs – permits diffusion into areas together with surveillance AI and e-commerce logistics. China’s mannequin incentivises any agency with excessive R&D depth, through industrial coverage programmes comparable to ‘Little Giants’ (García-Herrero and Krystyanczuk, 2024).
China’s extra various ecosystem has a special energy to the US: it blends industrial coverage with market experimentation. Public funding and coordination present route, whereas personal corporations compete to ship sensible purposes at scale. The result’s a fast-moving innovation base that hyperlinks digital applied sciences with manufacturing, in step with nationwide priorities.
Europe depends extra closely on public analysis centres, significantly in quantum for which establishments together with CEA (France) and universities (RWTH Aachen, Valencia, Delft) lead novelties, producing 60 % of EU quantum radical novelties. Personal firm involvement is extra restricted than within the US and China, particularly in AI and semiconductors. There are, nonetheless, notable exceptions, together with Ericsson and Nokia in AI for 5G computing, and Infineon at 42.9 % of complete China/EU/US novelties in energy semiconductor gadgets (García-Herrero et al, 2025b).
Europe additionally has two entities that excel in all three fields: Sweden’s Ericsson and France’s CEA (Commissariat à l’énergie atomique, Atomic Power Fee). Whereas very totally different in nature (a personal telecoms firm and a public analysis centre), they’ve crucial components in frequent: extra R&D expenditure than their peers9 and in depth cooperation with different analysis leaders10.
However these comparatively extra profitable instances, the fact is that the quantity and depth of European breakthroughs in digital applied sciences is solely lower than in China and the US. That is most likely related to the shortage of an built-in marketplace for fundamental analysis and with the fragmentation of the only market, which constrains the power of firms to commercialise innovation in a worthwhile manner.
4 Pace of Information Spillovers: Fast for China and the US, Sluggish in Europe
Whereas competitors for high positions in novel patents is necessary, so is the power to copy nice progressive concepts. To evaluate how China, the EU and the US replicate breakthroughs in important applied sciences, García-Herrero et al (2025b) carried out a spillover evaluation, yielding actually sombre outcomes for Europe. Spillovers on this context consult with the unfold of latest applied sciences or concepts from one area to others. They’re calculated by measuring the time lag between the publication of an authentic, radically novel patent and the looks of comparable applied sciences in patents from different areas.
Among the many three important applied sciences analysed, AI spreads the quickest (Determine 4). China excels by replicating novel patents from the US or EU in solely in six months. Bidirectional US-China flows (eg Nvidia designs inspiring Huawei alternate options) are fairly apparent because the US additionally replicates Chinese language patents shortly. In terms of chips, China is about half as quick than it’s in AI and quantum in replicating US patents. This resonates with most US export controls regarding semiconductors11.
EU international locations, in the meantime, take 18-24 months to copy novelties from China or the US, whether or not AI, chips or quantum. Apparently, EU innovators take barely much less time to copy Chinese language novel patents than US novel patents, particularly in AI and quantum. For chips, the EU’s replication lag is about the identical for US and Chinese language patents.
Europe’s a lot slower replication of US or Chinese language patents is clearly an issue. It’s additional aggravated by the truth that, inside the EU, the velocity of replication can be very sluggish. In different phrases, the typical time for a breakthrough from one EU nation to be replicated by an innovator in one other EU nation is as lengthy, if not longer than the time taken by a European innovator to copy a Chinese language patent (with replication of US breakthroughs nonetheless the slowest).
This discovering is as putting as worrying, warranting an additional evaluation of the explanation why that is the case. Our evaluation on the fragmentation within the fields of analysis excellence in Europe, and the variations within the profiles of its innovators in comparison with the US and China, presents some hints:
- Dependence on public funding within the EU versus the depth of the US enterprise capital markets, with personal funding an important supply of funding for important applied sciences within the US.
- The shortage within the EU of cash-rich tech firms, which may tackle daring innovation and replication duties.
- Language and regulatory complexity within the EU, and doubtlessly extreme information safety requirements.
- The fragmentation of the only market and the difficulties to scale when commercialising innovation is unquestionably related (Draghi, 2024).
5 Implications and Suggestions
The US continues to guide within the manufacturing of radical novelties throughout AI, semiconductors and quantum computing, bolstered by a concentrated ecosystem of personal tech giants that excel in high-value subfields and foster fast commercialisation. This mannequin sustains a 35 % to 40 % of China-EU-US radical improvements, turning theoretical breakthroughs into trillion-dollar industries.
China has emerged as a formidable second-place contender, significantly in semiconductor fabrication and chosen AI purposes, comparable to surveillance imaginative and prescient and aerial drone swarms. That is because of its hybrid mannequin and state-supported scale that enables for fast absorption and adaptation of breakthroughs. In contrast, the EU, regardless of pockets of energy in quantum photonics and explainable AI, generates far fewer novelties that the US or China, and struggles with sluggish spillovers, limiting its potential to maintain tempo. In sure niches, Europe dominates – comparable to ASML’s EUV monopoly – however fragmentation of innovation is a transparent shortcoming.
The disparity might worsen if the EU doesn’t shortly step up efforts to innovate extra on important applied sciences and to create the suitable ecosystems to allow sooner replication of breakthroughs. It should additionally develop the variety of innovators. One necessary facet in China’s fast meet up with the US, in comparison with Europe, is funding. Mockingly, the EU spends extra on fundamental analysis than China – $47. 5 billion in 2024, in comparison with China’s $34.7 billion (OECD, 2025). Nevertheless, China’s development in fundamental analysis expenditure is double that of the EU (over 10 % versus 5 %). In different phrases, convergence is occurring very quickly.
Past this, China has stepped up its industrial coverage, with specific consideration paid to important applied sciences, particularly semiconductors. China’s push for semiconductors began with the economic coverage grasp plan China launched in 2015, Made in China 2025. The economic effort on chips was funded by two main efforts, the Large Fund I and the Large Fund II, which pulled within the equal of $90 billion (García-Herrero and Weil, 2022). The outcomes of these efforts at the moment are beginning to be appreciated. China has moved up the ladder specifically within the fabrication of chips, whereas challenges stay when it comes to design. Extra usually, China’s monumental economies of scale assist make fundamental analysis extra simply commercialisable, with deployable merchandise for which a big single market exists, along with China’s big export machine.
Whereas industrial coverage is a crucial issue behind’s China innovation drive, a simplistic judgement attributing China’s success to giant subsidies ought to be averted. China’s industrial coverage strategically aligns long-term targets outlined in 5-12 months Plans with versatile implementation mechanisms, together with the number of specialised corporations via programmes such because the ‘Little Giants’. These prioritise R&D depth and sectoral focus to channel sources effectively into totally different applied sciences, together with the important areas now we have analysed. The coverage levers additionally embrace tax breaks for R&D and underscore China’s potential to take the lead in focused domains.
The EU can not copy China’s industrial coverage given the marked institutional variations, however should do extra on innovation. A important lesson for Europe is that in a world by which scale and velocity outline technological management, fragmented excellence dangers obsolescence. The US’s personal vigour and China’s state-orchestrated agility distinction with Europe’s regulatory warning. With out reform, the EU will proceed to cede floor to the US and China. By studying from China’s ascent, significantly its precision with subsidies, spillover effectivity and cross-sector dynamism, the EU can reshape its innovation insurance policies. The EU additionally must focus, way more than the US and China, on the size of its market, not just for items and providers, but in addition for innovation.
Europe ought to implement a multifaceted technique to boost fundamental analysis whereas additionally accelerating diffusion, integrating the only market and strengthening commercialisation linkages. Along with funding, this requires institutional redesign, drawing selectively from China’s industrial playbook, particularly on the innovation focus, whereas preserving EU values of openness and sustainability. Particularly:
- EU-wide sandboxes (or testing environments) ought to be established for patent licensing and know-how switch. Such devoted regulatory environments would help cross-border analysis collaboration and scale back bureaucratic limitations that at present imply Europe’s replication occasions are double these of China.
- EU analysis funding (Horizon Europe) may have to be centered extra on important applied sciences, particularly on deployment, by incorporating direct monetary incentives for personal corporations to prototype and commercialise novelties – very similar to the Chinese language subsidies which have propelled its semiconductor ecosystem.
- Leveraging public procurement as a demand-generation instrument is important. By requiring the incorporation of important applied sciences in public contracts – from AI in public providers to quantum-secure communications in infrastructure – the EU can create fast markets that pull improvements from labs to deployment, fostering the virtuous cycle of product diffusion and reinvestment that sustains China’s present edge over the EU. The EU’s €2 trillion public procurement market could possibly be expanded via a ‘important tech mandate’ that may require 30 % of contracts (eg defence, transport) to function EU-sourced AI or semiconductors by 2028, with penalties for non-compliance.
- An EU Crucial Tech Observatory ought to be created, presumably below the European Fee, to offer real-time monitoring of world patent traits, enabling proactive ‘fast-follower’ methods that determine and replicate high-potential novelties.
- Lastly, Europe’s push for elevated – but in addition extra built-in – navy spending ought to create demand for dual-use applied sciences.
References
Draghi, M. (2024) The Way forward for European Competitiveness, obtainable at https://fee.europa.eu/matters/strengthening-european-competitiveness/eu-competitiveness-lookingahead_en
García-Herrero, A. and M. Krystyanczuk (2024) ‘How Does China Conduct Industrial Coverage: Analyzing Phrases Versus Deeds’, Journal of Business, Competitors and Commerce 24: 10, obtainable at https://doi.org/10.1007/s10842-024-00413-w
García-Herrero, A., M. Krystyanczuk and R. Schindowski (2025a) ‘Radical novelties in important applied sciences and spillovers: how do China, the US and the EU fare?’ Working Paper 07/2025, Bruegel, obtainable at https://www.bruegel.org/working-paper/radical-novelties-critical-technologies-and-spillovers-how-do-china-us-and-eu-fare
García-Herrero, A., M. Krystyanczuk and R. Schindowski (2025b) ‘Which firms are forward in frontier innovation on important applied sciences? Evaluating China, the European Union and the USA’, Working Paper 08/2025, Bruegel, obtainable at https://www.bruegel.org/working-paper/which-companies-are-ahead-frontier-innovation-critical-technologies-comparing-china
García-Herrero, A. and P. Weil (2022) ‘Classes for Europe from China’s quest for semiconductor self-reliance’, Coverage Contribution 20/2022, Bruegel, obtainable at https://www.bruegel.org/websites/default/information/personal/2022-11/PCpercent2020percent202022.pdf
OECD (2025) ‘Fundamental Science and Know-how Indicators’, Dataset, Organisation for Financial Co-operation and Growth, obtainable at https://www.oecd.org/en/information/datasets/main-science-and-technology-indicators.html
Omaar, H. and M. Makaryan (2024) How Modern Is China in Quantum? Info Know-how & Innovation Basis, obtainable at https://www2.itif.org/2024-chinese-quantum-innovation.pdf
VerWey, J. (2024) ‘Tracing the Emergence of Excessive Ultraviolet Lithography’, Evaluation, Middle for Safety and Rising Know-how, obtainable at https://cset.georgetown.edu/publication/tracing-the-emergence-of-extreme-ultraviolet-lithography/
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