China guns for dominance in AI, builds out national labs
Artificial intelligence is the world's next key battle ground, and China wants to lead it.
Key takeaways
- The project will be led by Baidu’s deep learning institute chief Lin Yuanqing and scientist Xu Wei, along with academics from the Chinese Academy of Sciences, Zhang Bo and Li Wei.
- Baidu, who by all accounts are rapidly becoming the Google of China, certainly with respect to AI, will also provide the deep learning computing, algorithms and big data for the project.
- The NDRC also chose Baidu to set up two other related national labs, the catchily named National Engineering Laboratory for Big Data Systems Software and the Department of Cognitive Science and Technology.
Cite or link to this article
Griffin, M. (2017) 'China guns for dominance in AI, builds out national labs', 311 Institute, 5 March. Available at: https://www.311institute.com/china-guns-for-dominance-in-ai-builds-out-national-labs/ (Accessed: 1 October 2026).
The Chinese government, who recently announced they want to build AI based cruise missiles and a new nationwide Social Credit Scoring system, has approved a plan to create a next generation artificial intelligence (AI) national laboratory network which is expected to help China close the gap with its Western counterparts, many of whom now seem to be driving at full speed towards a world where artificial intelligence is the norm, not the exception.
The National Development and Reform Commission (NDRC) approved plans for a national engineering lab to support the research and development of deep learning technologies last week, but in a twist the lab will be online only, and won’t have a physical presence.
The NDRC commissioned Baidu, the Chinese search engine giant, to create the lab in collaboration with Tsinghua University and Peking University, as well as the China Academy of Information and Communications Technology, and the China Electronics Standardization Institute.
The project will be led by Baidu’s deep learning institute chief Lin Yuanqing and scientist Xu Wei, along with academics from the Chinese Academy of Sciences, Zhang Bo and Li Wei. Baidu, who by all accounts are rapidly becoming the Google of China, certainly with respect to AI, will also provide the deep learning computing, algorithms and big data for the project.
The lab will focus on seven different areas of the field: deep learning, computer vision and sensing, computer listening, biometric identification, new forms of human-computer interaction, standardized services, and deep learning intellectual property rights.
“As an open platform itself, the national lab will help more Chinese researchers, companies, and universities to access the most advanced AI technologies in China,” said Yu Kai, the former head of Baidu’s deep learning institute.
However, he believes that China has a long way to go before overtaking the US in deep learning and AI technology development. Others, in contrast, see China’s focus on engineering and science as shown by the large numbers of students pursuing advanced degrees, and the percentage of scholarly papers on AI generated in China, as evidence of the country’s growing competitiveness in the field.
The NDRC also chose Baidu to set up two other related national labs, the catchily named National Engineering Laboratory for Big Data Systems Software and the Department of Cognitive Science and Technology.
Baidu confirmed its participation in assisting the government in the creation of the national laboratories on its WeChat account, noting that the overarching goal of the deep learning project is to ‘boost China’s overall competence in artificial intelligence.’
Baidu has long been a leader in Chinese deep learning research, with last September’s launch of DeepBench, the first open source tool for benchmarking deep learning across different platforms, and the January 2016 launch of WARP-CTC on Github, an open source deep learning platform for speech recognition.
What this means for your organisation
AI is a state project in China.
Government, tech giants and universities are being linked into one national effort. That aligns research, data and funding. Western leaders should expect fast, coordinated progress from China in AI.
Data and compute are pooled.
One firm supplying computing, algorithms and data gives researchers scale few labs match. Shared resources speed up results. Firms elsewhere should consider how to pool data and compute with partners.
Competition will shape policy.
Rivalry in AI is driving national strategies on every side. Rules on exports, data and partnerships will follow. Firms should plan for AI becoming a geopolitical issue.
Three questions for your next leadership meeting
- How would faster Chinese AI progress affect our markets?
- Could we pool data and computing with partners?
- How exposed are we to AI-related trade and export rules?
The trends and technologies behind this story
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.
FAQ
Why does this matter?
Artificial intelligence is the world's next key battle ground, and China wants to lead it.

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
Read full bio
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- National Development and Reform Commission en.ndrc.gov.cn
- Chinas first deep learning lab intensifies challenge us artificial scmp.com
- Newthuen tsinghua.edu.cn
- Peking University english.pku.edu.cn
- China Academy of Information and Communications Technology caict.ac.cn
- China Electronics Standardization Institute cesi.cn
- Chinese Academy of Sciences english.cas.cn
- seven different areas marbridgeconsulting.com
- Warp ctc github.com
Source: first published by the 311 Institute on 5 March 2017. Cite as: Griffin, M. (2017). China guns for dominance in AI, builds out national labs. 311 Institute. https://www.311institute.com/china-guns-for-dominance-in-ai-builds-out-national-labs/
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