What is AIWiki Malaysia?

AIWiki Malaysia is a free, open AI knowledge base covering artificial intelligence concepts, tools, models, and use cases — written specifically for Malaysian professionals and students. It is maintained by AITG Sdn Bhd, an AI company based in Penang.

Who maintains AIWiki Malaysia?

AIWiki Malaysia is maintained by AITG Sdn Bhd (Registration: 202601016521 (1678618-W)), an AI company headquartered in George Town, Penang, Malaysia. The editorial team continuously updates and expands the knowledge base.

What topics does AIWiki Malaysia cover?

AIWiki Malaysia covers a wide range of AI topics including large language models (LLMs), AI agents, machine learning fundamentals, prompt engineering, AI automation, generative AI tools, Malaysian AI regulations, local vendor landscape, and real-world AI use cases relevant to the Malaysian market.

How do I search for AI topics on AIWiki Malaysia?

You can use the search bar at the top of the site to find articles by keyword or topic. Articles are also organised by category, so you can browse by subject area such as Models, Tools, Concepts, or Use Cases.

Is AIWiki Malaysia available in Bahasa Malaysia?

Yes. AIWiki Malaysia publishes content in both English and Bahasa Malaysia to serve the full breadth of the Malaysian professional and student community. Language availability is indicated on each article page.

How can I submit a topic or suggest an article?

You can suggest topics or submit article ideas by contacting the AIWiki Malaysia team at admin@aiteragrid.com. AITG Sdn Bhd reviews all submissions and publishes content that meets editorial accuracy standards.

AI Thailand

AI Thailand refers to Thailand's national strategy, government programmes, and regulatory framework for developing and deploying artificial intelligence, as articulated in the National AI Strategy and Action Plan covering 2022 to 2027.

6 min readLast updated June 2026Malaysian Context

AI Thailand encompasses the policies, programmes, and regulatory frameworks through which the Thai government is developing the country's artificial intelligence ecosystem. The centrepiece of this effort is Thailand's National AI Strategy and Action Plan (2022-2027), approved by the Cabinet on 26 July 2022, which sets out national goals for AI adoption, workforce development, infrastructure investment, and governance.

National AI Strategy and Action Plan (2022-2027)

Thailand's National AI Strategy was developed by the National Electronics and Computer Technology Center (NECTEC) under the National Science and Technology Development Agency (NSTDA), in consultation with public and private sector stakeholders. The strategy articulates a vision of Thailand as a nation with an effective AI ecosystem that demonstrably enhances economic output and quality of life by 2027.

The strategy is structured around five strategic pillars. The first focuses on AI infrastructure — compute resources, data infrastructure, and connectivity — as the physical foundation for AI development. The second addresses AI talent development, with targets to train 10 million general AI users and produce 90,000 AI professionals through university programmes, vocational training, and industry certification. The third pillar targets AI adoption in priority economic sectors including healthcare, agriculture, tourism, logistics, and manufacturing. The fourth addresses AI ecosystem enablement, covering standards, benchmarking, and innovation support mechanisms. The fifth pillar covers AI governance, ethics, and regulatory development.

National AI Committee

In 2025, Thailand established a National AI Committee chaired by the Prime Minister to drive coordinated implementation of the AI strategy across ministries. The committee coordinates between the Ministry of Digital Economy and Society (MDES), the Ministry of Science and Technology, NECTEC, and the Bank of Thailand on digital infrastructure, AI regulation, and sectoral adoption programmes. The committee's formation signalled a shift from advisory coordination to executive-level accountability for AI strategy delivery.

Infrastructure Development

AWS launched its Asia Pacific (Thailand) Region in January 2025, providing cloud compute infrastructure — including GPU-backed instances — that significantly expanded the accessible AI compute available to Thai developers and enterprises. Microsoft's investment in Thailand's cloud infrastructure, including partnerships with the THAI Academy initiative, aimed to equip over one million Thais with AI skills through free online courses and tools. Google has similarly announced data centre investments in Thailand as part of its ASEAN infrastructure expansion.

The Thai government has established a Thailand AI Cloud — a sovereign compute platform operated by state-linked agencies — to provide AI infrastructure for public sector digitisation projects without full dependence on commercial cloud providers. This initiative parallels Malaysia's government cloud strategy and reflects a broader ASEAN trend toward sovereign AI infrastructure.

Sectoral AI Adoption

Healthcare is a priority sector for AI adoption under the Thai strategy. The Ministry of Public Health has initiated projects using AI for disease diagnosis, patient triage, and epidemiological modelling. Thailand's strong medical tourism industry — which attracts patients from across ASEAN and beyond — creates commercial incentives for private hospital chains such as Bumrungrad International and Bangkok Hospital Group to invest in AI-assisted diagnostics.

Agriculture is another focal area. Thailand's position as a major exporter of rice, cassava, rubber, and sugar cane drives interest in AI for precision agriculture — crop disease detection, yield prediction, and automated irrigation management. NSTDA has funded research projects applying computer vision and IoT sensor networks to Thai agricultural contexts.

Tourism, accounting for a substantial share of Thailand's GDP, is adopting AI for visitor flow management, sentiment analysis of visitor reviews, and personalised tourism recommendation systems targeting inbound travellers.

Regulatory Framework

Thailand's AI regulatory development accelerated in 2025. The Electronic Transactions Development Agency (ETDA), under MDES, published draft AI principles for public consultation in June 2025. The Bank of Thailand issued Guiding Principles for Artificial Intelligence Risk Management in September 2025, applicable to financial institutions and payment service providers, addressing model risk, consumer protection, and operational resilience.

In 2025, Thailand's National Assembly began deliberating a draft AI Act that would establish a statutory framework for AI system classification, mandatory conformity assessment for high-risk AI applications, and a national AI regulatory authority. The draft law drew on the EU AI Act as a reference point while accounting for Thailand's development context.

Talent Development

The THAI Academy, a joint initiative between the Thai government and Microsoft, provides free AI and digital skills training to Thai citizens. NSTDA operates AI research fellowships and collaborative programmes with Thai universities including Chulalongkorn University, Mahidol University, and King Mongkut's Institute of Technology. Thailand's software development sector, centred in Bangkok's digital economy cluster, provides a foundation of technical talent for AI development.

Malaysian Context — Malaysia-Thailand AI Cooperation and ASEAN Dimensions

Thailand and Malaysia share significant economic and technological ties as neighbouring ASEAN members, and their AI strategies intersect in several domains. Both countries are advancing AI governance frameworks under the influence of ASEAN's AI Governance Framework, which provides non-binding regional principles for responsible AI development adopted by ASEAN leaders in 2024.

Malaysia and Thailand cooperate on AI applications in cross-border supply chain management — particularly in the automotive, electronics, and food processing industries centred in the Malaysia-Thailand border region — and in tourism analytics for the northern Malaysia and southern Thailand tourism corridor. The Malaysia-Thailand Joint Authority (MTJA) oversees economic development in the shared development area, and digital economy coordination increasingly includes AI data and analytics.

Bank Negara Malaysia and the Bank of Thailand coordinate through the ASEAN Working Committee on Payment and Settlement Systems, and their respective AI governance frameworks for the financial sector share common principles around accountability, explainability, and model risk management — reflecting the influence of the Financial Stability Board's global guidelines on AI in finance.

MDEC engages with Thailand's Digital Economy Promotion Agency (DEPA) and NECTEC through bilateral and multilateral channels on digital standards, data governance, and AI talent exchange. Malaysia's MSC Malaysia and Thailand's Eastern Economic Corridor (EEC) digital hub both seek to attract multinational technology investment that increasingly includes AI capability centres.

ASEAN's collective AI market represents a significant opportunity; the region's combined internet economy is projected to reach USD 1 trillion by 2030, with AI as a key driver. Malaysia's AI Roadmap and Thailand's national strategy are both calibrated to capture a share of this growth through distinct but complementary competitive positioning — Malaysia emphasising financial services and shared services AI, Thailand emphasising industrial and agricultural AI applications.

References

NSTDA. (2022). Thailand's National AI Strategy and Action Plan (2022-2027). National Science and Technology Development Agency, Bangkok.
Digital Watch Observatory. (2022). Thailand's National AI Strategy and Action Plan (2022-2027). dig.watch.
Tilleke & Gibbins. (2025). Comprehensive Policy: Thailand's AI Governance Framework. tilleke.com.
Nation Thailand. (2025). Thailand outlines ambitious AI strategy to become regional hub. nationthailand.com.
Norton Rose Fulbright. (2025). Thailand's draft AI law: A new era for governance and innovation. nortonrosefulbright.com.

Tags:thailand asean government ai-strategy

Strategy	National AI Strategy and Action Plan (2022-2027)
Approved	26 July 2022
Oversight body	National AI Committee (chaired by Prime Minister)
Workforce target	10 million AI users, 90,000 AI professionals
Related	ASEAN AI Governance, AI Singapore