China's Mazu AI weather system now active in 7 Global South nations
Synopsis
China's Mazu AI weather warning system is now physically embedded in seven developing nations — from Pakistan to the Solomon Islands — while 40 more countries test its cloud version, making it Beijing's most concrete AI soft-power deployment in climate tech to date.
Key Takeaways
Seven countries — Pakistan , Djibouti , Ethiopia , Jordan , Mongolia , the Solomon Islands , and Sri Lanka — have fully deployed the Mazu AI weather warning system on the ground.
A public cloud version of Mazu has been tested by 40 Global South countries , according to People's Daily .
Pan Jinjun , Chief Engineer at the China Meteorological Administration , called Mazu 'an international public good' offering 'tailored early warning services for developing nations.' Mazu stands for Multi-hazard Alert, Zero-gap and Universal and was first unveiled at the World AI Conference in Shanghai in 2025 .
China describes Mazu as its first national project responding to the UN Early Warnings for All initiative, which targets universal extreme weather coverage by 2027 .
China's Mazu AI-powered weather warning system has been physically deployed in seven developing countries — Pakistan, Djibouti, Ethiopia, Jordan, Mongolia, the Solomon Islands, and Sri Lanka — marking a significant expansion of Beijing's climate-tech diplomacy across the Global South. The system, developed by the China Meteorological Administration (CMA), is designed to deliver real-time extreme weather alerts and has been integrated into daily meteorological operations in each of those nations.
What is Mazu and why does it matter
Mazu — an acronym for Multi-hazard Alert, Zero-gap and Universal — is named after the Chinese sea goddess of the same name. The system was first unveiled at the World Artificial Intelligence Conference in Shanghai in 2025 and was designed from inception for international deployment. Pan Jinjun, Chief Engineer at the China Meteorological Administration, described Mazu as 'an international public good' that provides 'tailored early warning services for developing nations.'
Pan made those remarks while speaking to several media outlets ahead of this year's World AI Conference in Shanghai, positioning Mazu as China's first national project aligned with the United Nations Early Warnings for All initiative — a UN-backed drive to ensure every person on Earth is covered by extreme weather alert systems.
Scale of deployment and testing
Beyond the seven countries where the full system has been physically installed, a public cloud version of Mazu — which offers faster access to meteorological data — has been tested by 40 Global South countries, according to People's Daily. The cloud variant lowers the barrier to access, allowing nations without advanced meteorological infrastructure to tap into the platform's capabilities without on-ground hardware commitments.
The breadth of the testing pool signals that Mazu's footprint could expand significantly in the near term, particularly across Africa, South Asia, and Southeast Asia, where climate vulnerability is high and early warning infrastructure remains thin.
The competitive backdrop
Mazu enters a space where Western-backed initiatives and multilateral bodies have long dominated disaster preparedness frameworks. The UN Early Warnings for All initiative, launched in 2022, set a target of universal coverage by 2027. China's decision to frame Mazu explicitly as a contribution to that UN goal is a calculated move to embed its AI infrastructure within an internationally legitimised development agenda.
The deployment also reflects a broader pattern: Chinese technology firms and state institutions are increasingly positioning AI tools as development-aid instruments across the Global South, competing with Western platforms for strategic influence in regions that are rapidly scaling digital infrastructure.
What's next
With 40 countries already testing the cloud version, the trajectory points toward further ground deployments beyond the current seven. Observers will watch whether nations in West Africa — including Nigeria, which was referenced in related discussions — move from the cloud-testing phase to full on-ground integration. The pace at which Mazu transitions from pilot to permanent infrastructure in additional countries will be a key indicator of China's soft-power reach through climate technology.
Point of View
China is building switching-cost dependencies that Western aid frameworks rarely achieve. The framing around the UN Early Warnings for All initiative is deliberate — it grants Beijing multilateral cover while advancing bilateral tech lock-in. Mainstream coverage focuses on the humanitarian angle, but the more durable story is how climate vulnerability in the Global South is becoming a new theatre in the broader contest over AI standard-setting and infrastructure influence. If the 40 cloud-testing nations convert to full deployments, China will have quietly embedded its meteorological AI stack across a swath of the developing world before Western alternatives have scaled.
NationPress
20 Jul 2026
Frequently Asked Questions
What is China's Mazu AI weather system?
Mazu — short for Multi-hazard Alert, Zero-gap and Universal — is an AI-powered extreme weather early warning system developed by the China Meteorological Administration . Named after the Chinese sea goddess, it was first unveiled at the World AI Conference in Shanghai in 2025 and is designed to provide real-time multi-hazard alerts, with a particular focus on serving developing nations.
Which countries are using the Mazu weather system?
The full, ground-deployed version of Mazu is currently operational in seven countries : Pakistan , Djibouti , Ethiopia , Jordan , Mongolia , the Solomon Islands , and Sri Lanka . An additional 40 Global South countries have tested the system's public cloud version, according to People's Daily .
How does Mazu relate to the UN Early Warnings for All initiative?
China has positioned Mazu as its first national project aligned with the United Nations Early Warnings for All initiative, which aims to ensure universal coverage of extreme weather alert systems by 2027 . Pan Jinjun , Chief Engineer at the China Meteorological Administration , described Mazu as 'an international public good' designed to deliver 'tailored early warning services for developing nations.'
Why is China deploying AI weather technology in developing countries?
China frames the Mazu deployments as humanitarian and development-oriented, filling critical gaps in disaster preparedness infrastructure across climate-vulnerable nations. Beyond the stated humanitarian rationale, the deployments also advance China's broader strategy of embedding its AI and technology platforms in Global South countries, building long-term infrastructure relationships and influence.
What is the difference between Mazu's cloud version and the full deployment?
The public cloud version of Mazu offers faster, lower-barrier access to meteorological data and has been tested by 40 countries without requiring significant on-ground hardware. The full deployment, active in seven nations , physically integrates Mazu into a country's daily meteorological operations, embedding it more deeply into national disaster preparedness infrastructure.
