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China sets AI integration targets for communications networks

China’s Ministry of Industry and Information Technology has released a three-year plan to accelerate the integration of AI with the country’s information and communications sector.

The implementation guideline, covering 2026 to 2028, sets targets for more autonomous networks, wider low-latency access to computing power and expanded AI applications. By 2028, China aims for information and communications networks to reach an initial stage of high-level autonomous intelligence.

The plan also calls for more than 30 high-value use cases, specialised intelligent agents and at least 75% coverage of one-millisecond-latency access to computing power in metropolitan areas.

MIIT identified several research priorities, including AI-driven network architectures, collaboration between large and small AI models, multi-agent systems and intelligent agent communications. It also calls for faster construction of major computing power channels and improved network resource scheduling.

Looking beyond the three years, China aims to make significant breakthroughs in core technologies for integrating AI with information and communications networks by 2030. The ministry said the longer-term goal is to strengthen integrated sensing, communications, computing and intelligence capabilities, while building a broader collaborative innovation and industrial ecosystem.

Why does it matter?

The plan shows China treating AI as part of the core architecture of future communications networks, not only as an application layer. The targets link AI, telecommunications, computing power and sensing infrastructure, which could shape how autonomous networks, industrial AI, smart cities and future digital services are deployed. It also reflects China’s broader push to align AI development with national digital infrastructure and industrial upgrading.

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China launches a major 6G pilot programme to accelerate future connectivity

China’s Ministry of Industry and Information Technology has launched a ministry-provincial collaborative pilot programme to advance 6G innovation and development.

The initiative is designed to support future commercial deployment of next-generation communications technologies and strengthen the country’s 6G industrial ecosystem.

The programme focuses on advancing frontier 6G technologies and deepening the integration of communications networks with AI, satellite internet, and wireless sensing. It will also accelerate research and development of 6G base stations, core network equipment, terminals, chips, and operating systems.

Pilot regions will test practical applications tailored to local economic priorities. Planned use cases include immersive communications, industrial manufacturing, embodied intelligence, low-altitude economic activities, and smart maritime operations.

The initiative follows China’s recent approval of trial spectrum in the 6 GHz band for 6G technology testing in selected regions. That approval was granted to the IMT-2030 (6G) promotion group to support 6G technology trials and validation.

China currently operates the world’s largest 5G network and is seeking to build on that infrastructure base as global competition shifts towards 6G. Authorities say future 6G networks could deliver major improvements in speed, reliability, latency, and connectivity across terrestrial, aerial, maritime, and space-based networks.

Why does it matter?

The pilot programme shows how China is moving from 6G research towards coordinated industrial testing and local application scenarios. By linking 6G with AI, satellite internet, wireless sensing, chips, operating systems, embodied intelligence, and the low-altitude economy, China is treating next-generation connectivity as part of a wider industrial and strategic technology agenda.

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China widens access to value-added telecom services for foreign companies

China’s Ministry of Industry and Information Technology (MIIT) has approved 166 foreign-invested enterprises to participate in pilot programmes for value-added telecommunications services since the first approvals were issued in February 2025, according to Xinhua.

The approved companies are authorised to provide services across China, including internet data centre operations, internet access services and information services. The move forms part of broader efforts to expand access to the country’s telecommunications market.

The ministry said the reforms align with international trade and investment rules while building on existing policy frameworks, including China’s commitments under the World Trade Organization and regulations governing free-trade zones. Under the pilot measures, foreign ownership restrictions have been lifted for selected categories of value-added telecommunications services.

More than 3,100 foreign-invested telecommunications enterprises are currently operating in China, and authorities said additional measures are planned to encourage further participation in the sector. Pilot reforms are currently being implemented in Beijing, Shanghai, Hainan and Shenzhen.

Why does it matter?

China’s telecommunications sector has historically maintained restrictions on foreign participation, particularly in value-added services. Expanding pilot programmes and easing ownership limits could increase opportunities for international companies seeking access to one of the world’s largest digital markets.

The reforms also signal China’s broader efforts to attract foreign investment and align aspects of its telecommunications framework with international trade commitments, while testing market-opening measures in selected regions before potential wider implementation.

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China showcases AI innovation and global cooperation at World Intelligence Expo 2026

The 2026 World Intelligence Expo has opened in Tianjin, bringing together more than 700 exhibitors to present AI technologies, products, and application scenarios.

The four-day event is co-hosted by the municipal governments of Tianjin and Chongqing under the theme ‘Intelligence: Extensive Development Space, Sustainable Growth Driver’. It features seven exhibition zones covering embodied AI, core AI technologies, the low-altitude economy, commercial space exploration, and other emerging technology areas.

Chinese officials used the event to emphasise the integration of AI into manufacturing, industrial operations, and the broader digital economy. Ke Jixin, Vice Minister of Industry and Information Technology, said the ministry would advance the ‘AI+ manufacturing’ initiative, strengthen innovation capabilities, and improve the industrial environment for AI development.

A major focus of the expo is developing high-quality datasets to support intelligent manufacturing. Liu Liehong, head of the National Data Administration, said China would support industry leaders and pilot entities in building sector-specific datasets in areas including automobile manufacturing, shipbuilding, rail transit, non-ferrous metals, and petrochemicals.

The event also highlighted China’s interest in expanding international AI cooperation. Chen Jiachang, Vice Minister of Science and Technology, said China is making AI a priority in bilateral and multilateral technology cooperation, including capacity development.

Representatives from countries including the United Arab Emirates and Kazakhstan discussed potential cooperation with China across AI, advanced technologies, the digital economy, the internet of things, fintech, medical technology, and software.

More than 200 new products, technologies, achievements, and research reports are expected to be released during the expo, covering embodied AI, intelligent connected vehicles, the low-altitude economy, smart manufacturing, and smart living.

Why does it matter?

The expo reflects China’s effort to position AI as a driver of industrial upgrading, manufacturing competitiveness, and digital economic growth. The focus on sector-specific datasets is particularly important because data infrastructure is becoming a core part of AI industrial policy. The international cooperation messaging also shows how China is using AI events to strengthen technology partnerships and capacity-building ties, especially with countries interested in smart cities, fintech, healthcare technology, and digital infrastructure.

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China pushes deeper AI integration with advanced manufacturing

Chinese Premier Li Qiang has called for deeper integration between AI and advanced manufacturing as China seeks to accelerate the intelligent upgrading of its industrial economy.

Li made the remarks during an inspection tour of technology companies in Beijing, where he was briefed on innovation and industrial development in intelligent robotics. He described intelligent robots as a key vehicle for integrating AI with advanced manufacturing.

The premier called for stronger basic research, breakthroughs in core technologies and further exploration at the frontier of intelligent robotics. He also urged faster innovation in complete machines, key components, and intelligent decision-making and control systems to support high-quality industrial development.

Li said China should make use of its large domestic market, complete industrial chains and wide range of application scenarios to expand the intelligent robotics sector. He also said enterprises should play a leading role in industrial transformation.

Companies were encouraged to advance intelligent upgrades across the full production process, including research and development, design, manufacturing, operations management and after-sales services.

Why does it matter?

The remarks show how China is positioning AI as part of industrial modernisation, not only as a digital services technology. By linking AI with robotics, manufacturing processes and enterprise-led upgrading, Beijing is reinforcing the role of intelligent systems in productivity, competitiveness and high-quality industrial growth.

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South Africa and China expand digital education ties

South Africa and China have agreed on measures to deepen cooperation in digital education, technical skills development and student mobility following bilateral talks at the World Digital Education Conference in Hangzhou.

The talks brought together South Africa’s Minister of Higher Education and Training, Buti Manamela, and China’s Vice Minister of Education, Xu Qingsen. According to SAnews, the meeting produced a framework for stronger cooperation in areas including AI, vocational training and industry-linked education pathways.

Planned measures include a structured cooperation framework on AI in education and digital transformation, as well as a Joint Technical Working Group to oversee the rollout of China-South Africa Vocational and Technical Centres across all nine South African provinces.

Both countries also committed to expanding technical and vocational education and training cooperation, aligning programmes with industrial sectors such as AI, robotics, renewable energy and advanced manufacturing. Scholarship programmes are also expected to be more closely linked to South Africa’s industrial priorities, including AI, engineering, green energy and the development of TVET lecturers.

The cooperation will include expanded postgraduate study opportunities and joint research initiatives. Future short-term training programmes are expected to focus on AI governance, digital learning systems, industrial policy and digital public infrastructure, to strengthen institutional capacity across government and the post-school education sector.

Officials also highlighted the goal of linking education more directly with employment. Existing cooperation includes a partnership with Beijing Polytechnic College, where South African TVET students completed specialised training in new energy vehicles and hybrid technologies, with Chinese automaker BYD committing to provide internships and employment opportunities.

Why does it matter?

The cooperation links digital education with industrial policy, skills development and employment pathways, rather than treating AI education as a standalone technology issue. By focusing on vocational centres, scholarships, AI governance and digital public infrastructure, South Africa and China are positioning education cooperation as part of broader workforce and institutional capacity-building for the digital economy.

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China expands AI education strategy through global learning platform

China has launched a global AI education service platform to expand cross-border access to digital learning resources and support the integration of AI into education.

The initiative was announced during the 2026 World Digital Education Conference in Hangzhou and forms part of a broader upgrade to Smart Education of China, a digital education platform now accessible in around 220 countries and regions.

Chinese authorities said the upgraded platform will support cross-border sharing of educational resources and expand international services. New features include a lifelong learning hub and a Chinese language learning community.

The conference also saw the release of a report outlining China’s policy progress and practical experience in smart education. An AI education initiative was also unveiled, calling for better use of AI to support well-rounded and sustainable human development.

The initiative also urged stronger efforts to bridge the global digital divide by using smart education platforms to share high-quality resources and digital tools.

Why does it matter?

The launch shows how AI education is becoming part of digital infrastructure strategy, not only classroom reform. By linking AI tools, online learning resources and international access through a state-backed platform, China is positioning digital education as an area of both domestic development and global cooperation. It also points to wider competition over who builds the platforms, standards and learning ecosystems that will shape AI literacy and future workforce skills.

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China AI ethics draft translated by Georgetown’s CSET

The Center for Security and Emerging Technology (CSET), a policy research organisation within Georgetown University’s Walsh School of Foreign Service, has published an English translation of China’s draft trial measures on ethics reviews for AI technology.

The translated draft says the measures would apply to AI-related scientific and technological activities conducted within China that may pose ethical risks to human health, human dignity, the ecological environment, public order, or sustainable development. It covers universities, research institutions, medical and health institutions, enterprises, and other organisations involved in AI research and development.

Under the draft, organisations with the necessary conditions would be expected to establish AI technology ethics committees, while others could commission specialised ethics service centres to conduct reviews. Review applications would need to include details on the AI activity, algorithms, data sources, data cleaning methods, testing and evaluation, expected applications, user groups, risk assessments, and risk prevention plans.

The review process would focus on fairness and impartiality; controllability and trustworthiness; transparency and explainability; accountability and traceability; and whether the activity has scientific and social value. Committees or service centres would generally have 30 days to approve, reject, or request revisions to an application.

Higher-risk activities would require expert reconsideration. The draft list includes human-computer fusion systems that strongly affect behaviour, psychological or emotional states, or health; AI models and systems able to mobilise public opinion or channel social consciousness; and highly autonomous automated decision-making systems used in safety or personal health-risk scenarios.

Approved AI activities would also be subject to follow-up reviews, generally at intervals of no more than 12 months, while activities requiring expert reconsideration would be subject to follow-up reviews at least every 6 months. Emergency ethics reviews would normally have to be completed within 72 hours.

CSET notes that China released a final trial version of the regulation in April 2026, which it is now translating. The newly published draft translation therefore provides insight into the regulatory structure that preceded the final version, including committee-based ethics review, external service centres, expert reconsideration, and oversight roles for the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and other departments.

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China unveils Hanyuan-2 dual-core quantum computer breakthrough

China’s CAS Cold Atom Technology has unveiled Hanyuan-2, a 200-qubit neutral atom quantum computer that Chinese state media described as the world’s first dual-core neutral atomic quantum computer.

Developed in Wuhan by a company affiliated with the Chinese Academy of Sciences, Hanyuan-2 is presented as a shift from single-core to dual-core quantum architecture. The system uses neutral-atom array technology and combines 100 rubidium-85 and 100 rubidium-87 atoms to form a 200-qubit system.

The dual-core architecture allows the two processing units to operate independently in parallel or to work together in a main-and-support configuration. Developers say the approach could improve computational efficiency, support error correction and help address challenges linked to stability, qubit interference and scalability.

Unlike many quantum systems that require highly specialised operating environments, Hanyuan-2 is described as using a compact integrated design with a simplified laser-cooling setup and power consumption below 7 kilowatts. The design is intended to reduce operating complexity and make quantum computing systems easier to deploy.

The announcement highlights China’s continued investment in quantum computing hardware, particularly neutral atom systems. However, the system’s practical performance remains difficult to assess publicly because detailed benchmarks such as gate fidelity, coherence time and error rates have not yet been released in peer-reviewed or standardised form.

Why does it matter?

Hanyuan-2 points to growing experimentation with quantum computing architectures designed to improve scalability, stability and efficiency. Dual-core designs could support more flexible processing and error-correction approaches, but their real significance will depend on independently verifiable performance metrics. For now, the announcement is best understood as a signal of China’s ambition in quantum hardware rather than proof of practical superiority over other systems.

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China launches AI ethics review pilot programme

A national pilot programme for AI ethics review and services has been launched by China, as authorities move to strengthen oversight of growing risks linked to advanced AI systems.

The initiative, announced by China’s Ministry of Industry and Information Technology, aims to establish practical mechanisms for AI ethics governance as concerns over algorithmic discrimination, emotional dependence, and broader societal risks continue to grow. Authorities said the initiative will initially operate in provincial-level regions hosting national AI industrial innovation pilot zones. It will focus on refining provincial AI ethics review rules, supporting the creation of ethics committees, and developing specialised ethics review and service centres. Chinese regulators also plan to transform the ethics review process into technical standards while improving mechanisms for reporting AI-related ethical concerns.

The Ministry of Industry and Information Technology has also called for the creation of a national AI ethics risk monitoring service network, along with training materials, ethics education courses, and early-warning systems to support pilot cities.

By embedding ethics reviews into AI development and deployment processes, China appears to be building a more institutionalised framework for managing the societal and technological risks associated with increasingly powerful AI systems.

Why does it matter?

China’s latest move signals a shift from broad AI governance principles towards operational enforcement mechanisms embedded directly into regional innovation ecosystems. The programme could influence how other governments approach AI oversight, particularly as global concerns grow over algorithmic bias, psychological manipulation, and accountability in frontier AI systems.

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