- 19
- March
On March 19, 2026, the National Digital Economy and Society Committee (NDES) simultaneously approved two major initiatives: the 3-Year National Data Strategy and the official establishment of the National AI Committee, while also revealing the target figure: digital GDP reaching 5.6 trillion baht in 2026, representing 4.2% growth from the previous year.
This is not just a policy announcement — it is a clear signal that the Thai government is accelerating toward a fully digital era, and every government agency will be pushed to adapt its systems to support AI in one way or another.
The question is — how ready is your organization for this era?
Quick Summary: What Has Thailand Done?
- National AI Committee — officially established, with the Prime Minister as chairperson
- 3-Year National Data Strategy — focused on Data Governance, Open Data, and AI-ready infrastructure
- Digital GDP target of 5.6 trillion baht — 4.2% growth in 2026
- Accelerating e-Office via GDCC — all government agencies must upgrade their digital work systems
What Is the National AI Committee and Why Does It Matter?
The National AI Committee is Thailand's highest-level policy body for AI, with four primary responsibilities:
- Setting the country's AI direction — covering research, industry, and government deployment
- Issuing AI regulations — coordinating with Thailand's AI legislation currently in the drafting process
- Allocating budgets — overseeing AI investment in the public sector and infrastructure
- Governing AI safety — setting AI Governance standards that government agencies must comply with
What makes the establishment of this committee significant is that it is not just "another committee" — it is a signal that the government will begin issuing binding policies requiring agencies to adopt AI in their operations, including accounting, procurement, budgeting, and government ERP systems.
The 3-Year National Data Strategy — What Must Government Agencies Do?
The National Data Strategy approved by NDES has five primary goals:
| Area | Goal | Impact on Government Agencies |
|---|---|---|
| Data Governance | Full data management standards by 2027 | Must have systems that track audit trails for every transaction |
| Open Data | Open 80% of government data in machine-readable format | ERP systems must support standard data exports |
| AI-Ready Infrastructure | All agencies have digital data ready to feed into AI | Paper-based systems must be replaced with digital systems |
| Interoperability | Systems across agencies can communicate with each other | Must choose ERP with standard APIs for connectivity |
| Cybersecurity | Government data must meet ISO 27001 standards | Must use systems with encryption and access control |
Digital GDP of 5.6 Trillion Baht — What Does It Mean?
The figure of 5.6 trillion baht is not just a number in a report — it reflects the scale of digital investment across the country that the government expects from all sectors, including software investment for government agencies.
Key Figures:
- Digital GDP 2025: ~5.37 trillion baht → 2026 target: 5.6 trillion baht (growth +4.2%)
- Public sector ICT investment: expected to reach 85 billion baht in 2026
- Government agencies with full e-Office systems: target of 70% by 2027
- Countries Thailand benchmarks against: South Korea, Singapore, Estonia (global e-Government leaders)
Comparison: What Have Leading AI Government Countries Done?
Thailand is not starting from zero — there are countries that have already moved forward, and Thailand is learning from them:
| Country | What They've Done | Results |
|---|---|---|
| South Korea | Issued AI Framework Act in 2024, minister-level AI Committee | Government ERP fully connected to AI within 2 years |
| Singapore | National AI Strategy 2.0, every agency has a Chief AI Officer | Reduced government approval processes by 40% |
| Estonia | X-Road — 100% API-based government data exchange system | Citizens file taxes in 5 minutes with AI assistance |
| Thailand (Goal) | National AI Committee + 3-Year Digital Strategy | Digital GDP 5.6 trillion baht + 70% e-Office by 2027 |
Impact on Government Agencies — What Preparations Are Needed?
When the National AI Committee begins issuing policies, government agencies will face pressure at three levels:
Level 1 — Short Term (2026–2027):
- Must have complete digital data systems — accounting, procurement, HR, and budgeting
- Must be able to report data in machine-readable format to the Ministry of Digital Economy
- Reduce paper-based processes — purchase orders, requisitions, approvals
Level 2 — Medium Term (2027–2028):
- Must connect systems to GDCC (Government Data Center and Cloud) of the Ministry of DE
- Systems must have standard APIs supporting data exchange with other agencies
- Begin using AI to assist with budget analysis, risk management, and internal auditing
Level 3 — Long Term (2028+):
- AI assists with real-time procurement monitoring to reduce corruption
- AI analyzes budget spending patterns and compares against outcomes
- ERP systems connect data with the Office of the Auditor General (OAG) in real-time
Why AI-Ready ERP Has Become a Necessity?
Many government agencies still use legacy systems not designed for the AI era. The problems that will arise are clear:
| Issue | Legacy Systems | Saeree ERP (AI-Ready) |
|---|---|---|
| AI-Ready Data | Data scattered across multiple Excel files | Data centralized in a standard database with API access |
| Audit Trail | No edit history, untraceable | Records every transaction with timestamp and user ID |
| Interoperability | Difficult or impossible to connect to other systems | Built-in REST API, connects to GDCC and government systems |
| Digital Reports | Export to PDF only | Export JSON, XML, CSV — ready for AI analysis |
| Security | No encryption, weak access control | 2FA, Role-based Access, Encrypted Database |
The Role of GDCC — The Government Cloud Agencies Must Connect To
The Government Data Center and Cloud (GDCC) is the Thai government's cloud infrastructure managed by the Ministry of DE, and is one of the key goals of the National Data Strategy.
What government agencies need to know about GDCC:
- Agency ERP systems will need to connect to GDCC APIs to report data as required
- Data must be in standard formats defined by GDCC (JSON/XML)
- Must meet ISO 27001 security standards before connecting
- Agencies that cannot connect will face reduced ICT investment budgets in the next cycle
Recommendations for Government Agency Executives
Based on analysis of the National AI Committee policies and the 3-Year Digital Strategy, there are five key recommendations:
| Priority | Action | Timeline |
|---|---|---|
| Urgent | Assess the agency's ERP readiness | By Q2/2026 |
| Urgent | Eliminate critical paper-based workflows | By Q3/2026 |
| Medium | Select ERP with APIs ready to connect to GDCC | By Q4/2026 |
| Medium | Train AI Literacy for executives and IT teams | By Q1/2027 |
| Long Term | Plan AI integration into core workflows | 2027–2028 |
"The countries that will win in the AI era are not those with the most advanced AI — but those with the most AI-ready government data."
— Lessons from South Korea and Singapore
Saeree ERP — Ready to Support Government AI Policy
An ERP system designed specifically for government agencies, with standard APIs, GDCC compatibility, and an AI Assistant currently in development.
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References
- National Digital Economy and Society Committee (NDES). "3-Year National Data Strategy." ndes.go.th
- The Nation Thailand. "Thailand's digital economy forecast to grow 4.2% in 2026." nationthailand.com
- Ministry of Digital Economy and Society. "GDCC — Government Data Center and Cloud." mdes.go.th
- World Bank. "Digital Government in East Asia: Lessons from Korea, Singapore, and Estonia." 2025.
