--- title: "China to Match US in AI Race by 2030: Bloomberg Intelligence Names 8 Sectors Where Beijing Will Take the Lead" description: "According to Bloomberg Intelligence, by 2030 China will take the lead in eight of 17 strategic AI areas, including large language models, while the US retains an advantage in chip manufacturing." date: 2026-10-28T15:50:35.202Z lang: en url: https://xab.info/en/posts/china-to-match-us-in-ai-by-2030 tags: [artificial-intelligence, china, usa, bloomberg-intelligence, llm, semiconductors] author: "Alexander Buran, Roman V." publisher: "XAB.info" --- # China to Match US in AI Race by 2030: Bloomberg Intelligence Names 8 Sectors Where Beijing Will Take the Lead ![Abstract digital image of a human brain with electronic circuit boards on a blue background](https://xab.info/media/2026/10/28/kitay-sravnyaetsya-s-ssha-v-ii-k-2030-godu/kitay-sravnyaetsya-s-ssha-v-ii-k-2030-godu-1.webp) ## Key Points - By 2030, China will lead 8 out of 17 strategic AI areas, including the development of large language models (LLMs). - The US will retain an advantage in the production of advanced chips and hardware components for AI. - Analysts speak of 'joint technological leadership' without absolute supremacy by either side. - China will become a leader in new energy and biopharma and already leads in humanoid robots; R&D spending has matched the US. - Progress is hindered by monetization issues and price competition, while export restrictions are more likely to shift expansion geography than stop it. Analysts at Bloomberg Intelligence have published a forecast stating that by 2030, China could match the US in its influence on the global artificial intelligence market and pull ahead in a number of key technological sectors. According to the researchers, Beijing will lead eight out of 17 strategically important AI-related areas, including the development of large language models (LLMs) — the technological foundation of modern intelligent systems. At the same time, American companies are projected to retain an advantage in the production of advanced chips and other hardware components for AI. ### Leadership in Large Language Models and Lagging in Hardware According to the study, China has every chance to become a global leader in large language models while maintaining competitiveness across all other strategically important technology sectors. Meanwhile, in segments critical to AI development — such as hardware manufacturing from chips to optical network components — Chinese companies still lag behind. However, analysts note that in a few years they will be able to mount serious competition to current leaders in these areas. ### «Joint Technological Leadership» «The US and China are moving toward joint technological leadership in AI, with neither side likely to achieve absolute supremacy,» Bloomberg Intelligence reports. According to analysts, American AI models may retain a slight edge at the technological frontier, while China's software optimization competencies create favorable conditions for deploying more cost-effective AI-based solutions. ### Energy, Biotech, and Robotics Beyond AI, China is projected to become the global leader in all three categories related to new energy, including electric vehicles and energy storage systems, as well as in the biopharmaceutical manufacturing sector. Beijing already leads in humanoid robot production and several shipbuilding directions, and its research and development spending has matched that of the United States. China is also expected to narrow the gap in semiconductor technologies, though it will not achieve complete self-sufficiency. ### The Challenge of Monetizing Innovations Progress in AI is hindered by the fact that Chinese companies, much like AI startups elsewhere, have not yet found effective ways to monetize their innovations. According to Bloomberg Intelligence, they are still engaged in a survival race driving service prices down to the limit, and profitability will remain an elusive goal until companies transition to a more rational pricing approach. ### Trade Barriers and Alternative Paths Frictions in relations with the US, Europe, and other trading partners will continue to be a serious obstacle for the development of Chinese tech giants: access to lucrative markets may be blocked, and export restrictions could strip them of access to advanced components. Nevertheless, analysts believe these restrictions are more likely to shift the geography of China's industrial expansion than to stop it entirely. Concurrently, a number of observers note that Beijing is betting less on formal leadership in the race and more on a broad practical implementation path — integrating AI into the economy, which shapes its own trajectory of industrial development. ## Fact-Check & Sources - [Китай сравняется с США в ИИ-гонке уже к 2030 году — а в отдельных сферах даже обгонит window-new](https://3dnews.ru/1150552/kitay-sravnyaetsya-s-ssha-v-iigonke-uge-k-2030-godu-a-v-otdelnih-sferah-dage-obgonit) - Primary source: Bloomberg Intelligence forecast on China leading in 8 out of 17 sectors by 2030, quote on joint leadership, data on energy, biotech, robots, monetization, and export restrictions. - [Ставка не на первенство: Китай нашел и развивает свой собственный путь в гонке ИИ — Axios](https://www.obozrevatel.com/novosti-mir/stavka-ne-na-pervenstvo-kitaj-nashel-i-razvivaet-svoj-sobstvennyij-put-v-gonke-ii-axios.htm) - Context: China is banking on a broad implementation path and integrating AI into the economy rather than just formal leadership. Used neutrally as supplementary context. ## FAQ ### In how many areas will China take the lead by 2030 according to Bloomberg Intelligence? According to Bloomberg Intelligence forecasts, China will lead eight out of 17 strategically important AI-related areas, including the development of large language models. ### Will the US retain an advantage in any segments? Yes. Analysts estimate that American companies will maintain an advantage in the production of advanced chips and other hardware components for AI, and their models may hold a slight lead at the technological frontier. ### What is hindering the progress of Chinese AI companies? The main obstacle cited is the monetization problem: companies are engaged in price competition and have not yet transitioned to rational pricing, while export restrictions and trade conflicts create additional barriers.