Thailand's government is expanding its use of artificial intelligence across state agencies, with plans to move more public services online, automate administrative work, and cut costs. The country's broader goal is to build a digital infrastructure that can deliver more services at lower expense while making government operations more transparent, according to a report from Vietnam News Agency.
The push includes several practical changes already underway: public services are gradually being moved online, electronic meetings are now permitted, and the rules governing electronic transactions are being updated.
Three priorities for AI adoption
Thai authorities have identified three main areas for AI development. The first is protecting government data and using a dedicated Thai-language model. The second is automating administrative processes to reduce costs and support the digital economy.
The third area is consolidating and analyzing data from various government departments to inform public policy decisions. This is where AI moves from back-office efficiency into the substance of governance - using better data to decide what policies to pursue.
Regulatory cleanup
To make room for these changes, the government is reviewing around 7,600 regulatory acts to identify and repeal rules that hinder the adoption of digital technologies. That review is a necessary companion to the technical work, since outdated rules often block or slow new systems.
For the next stage, the civil service is set to use AI to automate work, cut administrative costs, and reduce the number of routine tasks.
Thailand's approach to government AI follows a similar pattern to what other countries are testing: start with workflow automation, move toward data-driven policy decisions, and adjust the rules that get in the way. Public sector professionals tracking these developments can compare Thailand's strategy with AI for Government programs elsewhere. The pieces of Thailand's plan that touch policy decisions - data consolidation across departments and regulatory reform - echo the topics covered in the AI Learning Path for Policy Makers.
Why this matters for government professionals
Thailand's plan is a working example of the questions every government agency will face. Budget pressures push departments toward automation. The push toward cost-cutting is real, and it's already underway. The regulatory review - sorting through thousands of acts to find the ones blocking digital adoption - is the kind of work that most governments will need to a version of, and it is not primarily a technical task.
For people working in government, the relevant takeaway is not the AI itself. It's the sequence: pick specific processes to automate, clean up the data, then fix the rules. That order - not just the technology - determines whether AI saves money or becoming a project that never leaves a pilot phase.
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