APEC Chengdu meetings chart regional AI cooperation framework

The focus should be on ensuring every economy can participate, not on who moves fastest.
Thailand's minister reframed the regional AI competition as a question of inclusion rather than speed.
Mark

Why does it matter that a chatbot in Bangkok is powered by models built in Singapore and trained on Southeast Asian languages?

Mimi

Because it means the region is building AI infrastructure for itself, rather than importing it wholesale from the United States or China. SEA-LION understands local languages and contexts in ways a generic global model might not. That's the difference between technology that works for you and technology you have to work around.

Mark

The Chengdu Statement talks about helping small businesses. What does that actually look like?

Mimi

Singapore's doing it with playbooks—step-by-step guides for specific industries showing how to use AI to solve real problems. A small manufacturer doesn't need to understand transformer architecture. They need to know: here's how AI can reduce defects in your production line, and here's how to implement it without hiring a team of PhDs.

Mark

China's offering 5,000 training slots over five years. Is that significant?

Mimi

It's a signal of intent. It's not enough to train everyone who needs it, but it's saying: we're investing in the region's capacity, not just our own. And the Shenzhen data center they're building—that's infrastructure. That's the plumbing that lets data and AI models move across borders without getting stuck at customs.

Mark

What's the risk here?

Mimi

That the benefits concentrate in the economies that already have the capital and talent. A playbook is only useful if you have people who can read it and resources to implement it. The real test is whether the smaller economies actually catch up or just become markets for AI built elsewhere.

Mark

Why hold this meeting in Chengdu specifically?

Mimi

It's a statement. Chengdu is not Beijing or Shanghai. It's saying: this isn't just about the coastal tech hubs. And it's in China, which is signaling that it sees itself as part of a regional ecosystem, not just competing with the West.

  • The urgency is real: AI is advancing faster than the frameworks meant to distribute its benefits, leaving smaller economies and businesses at risk of falling permanently behind.
  • The disruption is structural — cross-border data flows, language barriers, and uneven access to training and infrastructure threaten to fracture the region into AI haves and have-nots.
  • Practical tools are emerging to bridge the gap: Singapore's industry-specific AI playbooks, Southeast Asia's SEA-LION open-source language models, and INMO's real-time translation glasses signal that regional adaptation is already underway.
  • China is moving with institutional weight, pledging 5,000 training opportunities for developing nations and anchoring a new cross-border data center in Shenzhen to coordinate regulatory and business cooperation.
  • The Chengdu Statement now stands as the region's collective answer — a formal commitment to push AI into real sectors, protect smaller enterprises, and keep the conversation going as the technology continues to evolve.

In Chengdu, the economies of the Asia-Pacific gathered not merely to discuss a technology, but to ask an older and more enduring question: how does a region ensure that the fruits of transformation are shared rather than concentrated? Representing three billion people and nearly two-thirds of global economic output, APEC's 21 member economies adopted the Chengdu Statement in July 2026, committing to cooperative AI development across manufacturing, agriculture, and services, with particular attention to those who might otherwise be left at the margins of the digital age. The meeting reflected a growing conviction that artificial intelligence, like trade before it, is most durable when its foundations are built together.

A student in Bangkok chatting with an AI tutor may not know that the model understanding their language was built by engineers across Southeast Asia, or that the platform running it is backed by a Jakarta foundation and a Silicon Valley company. That small detail captures something large: AI in the Asia-Pacific is already a collaborative, cross-border project, whether or not the institutions governing it have caught up.

In mid-to-late July 2026, Chengdu became the place where those institutions tried to catch up. More than 500 representatives from APEC's 21 member economies gathered in the southwestern Chinese city for a series of meetings culminating in the APEC Digital and AI Ministerial Meeting on July 23. The stakes were proportionate to the room: APEC economies account for 3 billion people and 61.6 percent of global GDP, and together they span the entire AI supply chain from model development to semiconductor manufacturing.

Thailand's digital minister set the tone by arguing that the real question was not who was moving fastest, but who was being left behind. The ministers adopted the Chengdu Statement, a formal agreement pushing AI deployment into manufacturing, agriculture, and services while ensuring small and medium-sized businesses could actually access and afford the tools. Singapore offered a model for how this works in practice, with government-issued industry playbooks guiding companies from AI experimentation to genuine operational transformation. Microsoft, meanwhile, described using AI to analyze satellite and acoustic data for rainforest and marine conservation — a reminder that the technology's value lies in solving tangible problems.

China arrived with considerable momentum. By the end of 2025, the country had over 6,200 AI companies, and nearly a third of its mid-to-large manufacturers had already integrated AI into operations. AR glasses from Sichuan-based INMO — capable of translating speech across 261 languages in real time — were handed to journalists at the event as a demonstration of what domestic capability looks like when it reaches the market. China also announced 5,000 training opportunities for developing nations over five years and unveiled plans for a cross-border data flows center in Shenzhen's Qianhai district, designed as an open platform for regulatory coordination and business services.

The APEC High-Level Forum on AI closed with a statement calling for continued policy dialogue as the technology evolves. The Secretariat's Executive Director offered the gathering's quiet thesis: the future of AI in the region would be shaped not by any single economy's ambitions, but by the partnerships they chose to build — and by whether those partnerships were genuinely designed to include everyone.

A student in Bangkok asking a question to an AI chatbot may not realize that the technology answering them has traveled across multiple borders, stitched together from the work of engineers and researchers scattered across Southeast Asia. That chatbot runs on SEA-LION, a family of open-source language models built by AI Singapore to understand the region's languages, dialects, and cultural contexts. The platform itself—called AI Class ASEAN—is run by the Jakarta-based ASEAN Foundation with backing from Google.org. It's a small but telling example of how artificial intelligence is beginning to take shape across the Asia-Pacific: through open collaboration, regional adaptation, and the deliberate crossing of national lines.

This vision came into focus in Chengdu, a city in southwest China, where more than 500 representatives from the 21 member economies of the Asia-Pacific Economic Cooperation gathered in mid-to-late July 2026 for a series of meetings on digital technology and AI. The centerpiece was the APEC Digital and AI Ministerial Meeting on July 23, held under the banner "Digital Technologies and AI for the Empowerment of an Asia-Pacific Community." The numbers behind the room were staggering: APEC's member economies are home to 3 billion people and generate 61.6 percent of the world's economic output. They possess capabilities across the entire AI supply chain—from developing the models themselves to manufacturing the semiconductors that power them. The question animating the meetings was straightforward but urgent: how do you connect those strengths so that innovation actually translates into growth that reaches beyond the largest economies?

Thailand's Digital Economy and Society Minister, Chaichanok Chidchob, framed the challenge plainly. The focus, he argued, should not be on which economy was moving fastest into the AI future, but on ensuring that every member could participate in it. He pushed for deeper cooperation on building trustworthy digital infrastructure and expanding who had access to the training and tools needed to use AI effectively. The ministers who gathered in Chengdu adopted what became known as the Chengdu Statement, a formal agreement encouraging member economies to push AI and digital transformation into practical sectors—manufacturing, agriculture, services—and to make sure that small and medium-sized businesses could actually afford and deploy these tools.

Singapore has already begun this work. The government has created industry-specific AI playbooks, detailed guides designed to help small businesses and industry groups move from experimenting with AI to actually using it to reshape how they operate. According to Tan Kiat How, Singapore's Senior Minister of State for Digital Development and Information, the playbooks address a real problem: many companies still don't know how to use AI to transform their business. Microsoft, meanwhile, is using AI to analyze satellite imagery and acoustic data to protect rainforests and marine ecosystems. The technology's real value, said Microsoft Corporate Vice President Zhang Qi, lies in solving actual problems—helping people spot issues earlier and make better decisions.

China brought substantial weight to the conversation. By the end of 2025, the country had more than 6,200 AI companies. More than 30 percent of Chinese manufacturing firms with annual revenue of at least 20 million yuan (roughly 2.94 million U.S. dollars) had already adopted AI in their operations. During the Chengdu meetings, AR glasses made by INMO, a Sichuan-based company, demonstrated how China is turning its AI capabilities into products people can actually use. The glasses translate speech in real-time across 261 languages and have already been sold in multiple countries. Journalists covering the Chengdu events were given access to them.

China also announced it would provide 5,000 training opportunities and seminars on AI for developing countries over the next five years. Wei Wei, an official with China's Ministry of Industry and Information Technology, said the country would work with other APEC economies to build innovation platforms, develop high-value AI applications, and align standards and risk management across borders. On July 24, during the APEC High-Level Forum on AI, China announced plans to establish a center in Qianhai, Shenzhen, dedicated to promoting cross-border data flows within the region. The center would function as an open platform for policy research, regulatory coordination, and business services.

The forum issued its own statement, outlining cooperation on secure AI development, responsible adoption, and an environment where innovation could flourish. It called for APEC to continue policy dialogues on AI as the technology evolves. Eduardo Pedrosa, the APEC Secretariat's Executive Director, offered a closing thought: the future of AI would depend on the partnerships the region's economies built together, the choices they made collectively, and their commitment to ensuring that the benefits of innovation reached everyone, not just the largest players.

The emphasis should be on moving forward together and ensuring that every economy can take part in the digital future, rather than on which economy is moving faster.
— Thai Digital Economy and Society Minister Chaichanok Chidchob
AI's greatest value lies in solving real problems, helping people identify problems earlier and make better decisions.
— Microsoft Corporate Vice President Zhang Qi
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