📋 Tender Overview
Artificial intelligence (AI) is becoming a new focus in the development strategies of many Asian economies. From investing hundreds of billions of dollars in data infrastructure, building an AI ecosystem, developing domestic technological capacity to bringing AI into production, agriculture and social management, countries in the region are accelerating the race to master and apply this technology. Download Photo: BloombergLarge investment in AI infrastructureJapan is promoting an AI data center project in Akita province with a total expected investment of about 2,000 billion yen (12.5 billion USD), aiming to operate from 2030. The center has a maximum power receiving capacity of 500 MW and the investment scale can continue to increase by trillions of yen depending on demand and expansion plans. The project is not only aimed at adding capacity. calculate. The local government wants to use the data center as the nucleus to attract businesses, human resources and AI research activities to Akita, while also creating conditions for the development of fields such as autonomous vehicles, drones and supporting AI startups to access servers at low cost. Korea sets a greater ambition when promoting the construction of an AI data center ecosystem with a total target capacity of 18.4 GW, corresponding to a potential investment scale of about 1,200,000 billion won, equivalent to 847 billion USD. The countrys government has established the AI Data Center Alliance under a public-private partnership model, bringing together more than 400 businesses and organizations. An important goal of Seoul is to create a market for domestic technology and reduce dependence on foreign countries. Korean businesses are expanding operations from AI cloud computing, data center operations to cooling technology. The government expects this process to help form exportable products and improve the competitiveness of domestic enterprises. Bringing AI deeper into the economy Besides infrastructure investment, another prominent trend is expanding AI into economic sectors and management activities. China is promoting the application of AI, robotics, drones and satellite technology in the field of safety and emergency response. AI is intended to be used for risk identification, hazard prediction and detection, natural disaster assessment as well as decision support; while robots and unmanned devices are developed to operate in complex and dangerous environments. Thailand places AI in its strategy to upgrade industry and agriculture. The country targets higher-value activities such as advanced semiconductor packaging, industrial automation, data infrastructure and chip design, while accelerating the application of smart manufacturing and increasing the participation of small and medium enterprises in the AI supply chain. In agriculture, Thailand advocates integrating AI with IoT, automation and robotics to develop precision agriculture, increase productivity, reduce waste and energy consumption, improve traceability and increase product value From AI application to national capacity building Malaysia is going further with the goal of becoming an AI nation by 2030. The country has established AI Malaysia on the basis of upgrading and institutionalizing the National AI Office, with the task of connecting policy planning with implementation, monitoring major AI initiatives, building governance frameworks and standards, and coordinating international cooperation. AI Malaysia initially focuses on key areas such as agriculture, traffic and healthcare. In parallel with institutional improvement, the Malaysian Government aims to expand the accessibility and application of AI in society, ensuring that the technology is affordable and serves many segments of the population. At the regional level, AI cooperation between China and ASEAN is also shifting from technology exchange and individual projects to more systematic cooperation. Proposed directions range from research and development, smart production, agriculture, urban governance to human resource training, standards development and AI governance. These moves show that the AI race in the region is expanding from technology development to building computing infrastructure, mobilizing investment capital, developing domestic business capacity and bringing AI into specific economic sectors. AI is therefore increasingly placed in the broader problem of productivity, industrial capacity and competitiveness of each economy.An BinhSee moreAI POLICY: Korea implements a project to build a super innovation economySee moreAI POLICY: 86 countries and 2 international organizations sign the New Delhi DeclarationSee moreAI POLICY: Singapore can deduct taxes up to 400% for businessesReference moreAI POLICY: India trains 1 million young people and builds a 5-layer AI ecosystem. See moreAI POLICY: Japan launches a 19 billion USD project to create national AI. See moreAI POLICY: Korea sets up a fund with an investment of more than 20 billion USD. See moreAI POLICY: Korea sets up a National AI Strategy Committee, aiming for the top 3 world powers. See moreAI POLICY: Figure into two global mechanisms for AI governance. Further information AI POLICY: Japan uses AI staffhelp people do administrative procedures See more AI POLICY: Danish students can use AI in English exams See more AI POLICY: Announcing a series of AI cooperation initiatives in the ASEAN region See more AI POLICY: Korea stops plans to universalize artificial intelligence textbooks See more AI POLICY: EU applies the first regulation on multi-purpose AI See more AI POLICY: What will Israel do with the high density of talent world leader?See moreAI POLICY: Chinas New generation AI development planSee moreAI POLICY: Iron fists of Taiwan (China)See moreAI POLICY: Americas AI action plan
