The first steps towards AI in Thailand trace back to 1975, when the subject began being taught at Thai universities. By the mid-1980s, the government recognized AI’s potential as a driver of economic development and established a research authority in 1986 to stimulate advancements in the field. Despite limited research funding, the Thai AI community has been active for nearly three decades, focusing on tangible results.

Current Initiatives and Strategies

In May 2024, Microsoft announced a significant investment in Thailand by establishing the country’s first Azure data center and focusing on AI infrastructure. The company also plans to train 100,000 Thai entrepreneurs in the tourism sector on AI usage, emphasizing Thailand’s ambition to become a digital hub in Southeast Asia.

In November 2024, the Thai government announced new digital policies aimed at strengthening the economy and addressing security threats, including those stemming from the U.S.-China rivalry. The goal is for the digital economy to constitute 30% of GDP by 2030, with a focus on improving cybersecurity and using AI to enhance the agricultural sector and boost exports to China. (Reuters)

Future Prospects and Challenges

Thailand has ambitious goals to develop a workforce of 280,000 in advanced industries over the next five years, including 50,000 in AI. The government plans to create an ecosystem supporting new investments, offer hundreds of high-tech training courses, and provide tax incentives for companies training their employees. (Reuters)

However, challenges remain, such as developing human capacity and skills for an AI ecosystem. Building a solid foundation for future AI talent through strengthened STEM education at all levels is critical. Increasing awareness about AI’s benefits and risks is also essential to address misconceptions and build public trust. (OECD AI, The Nation)

Summary of Sources

The report combines insights from multiple authoritative sources, including Springer and the Association for the Advancement of Artificial Intelligence (AAAI) for historical context, Microsoft News for recent investments, and Reuters for policy updates and workforce goals. Policy challenges and future prospects are supported by information from OECD AI and The Nation Thailand, providing a comprehensive view of Thailand’s AI landscape.