Thai Developers Save 10 Hours Weekly With AI

Thai developers are realizing the highest productivity gains from AI in the region. Seventy percent of Thai software developers report that AI helps them save at least 7 hours of work per week, and 54 percent of those save more than 10 hours weekly — the highest proportion among all seven countries surveyed. This marks a major shift from 2024, when only 18 percent reported such savings.

Agoda, the digital travel platform, released its latest AI Developer Report 2026 on September 24, showing that software developers across Southeast Asia and India are moving beyond using AI as a tool for specific tasks toward deploying autonomous AI agents throughout the entire software development cycle — and faster than many expected. The report examines how this transformation is reshaping developer workflows, organizational cost management, and the boundaries of human responsibility.

The study draws insights from developers in Indonesia, Malaysia, Thailand, the Philippines, Singapore, Vietnam, and India, revealing both opportunities and challenges shaping AI's next phase in the region.

AI creates more value, but human review remains essential

Developers across all seven surveyed countries report clearer efficiency gains from AI. More than half (55 percent) now save at least 7 hours of work per week, compared to just 18 percent in 2024. Code quality has improved as well, with 62 percent saying AI-generated code is immediately usable or requires almost no fixes in nearly every case.

AI use now spans nearly all aspects of software development — code review, system architecture design, debugging, learning, and documentation. Yet human judgment remains indispensable: 86 percent of respondents still verify and confirm AI results always or nearly always.

AI agents arrived faster than expected, but cost remains a barrier to wider adoption

More than half of surveyed organizations (53 percent) have already deployed AI agents in some real-world processes or across their entire operation. However, only 38 percent believe their codebase is ready or nearly ready to support autonomous AI agents at full scale.

Twenty-eight percent cite cost as the primary obstacle to wider AI adoption, followed by system integration complexity (24 percent) and lack of clear governance frameworks (19 percent). The report notes that AI costs extend beyond model usage fees to include design, integration, verification, and agent reliability work. Four in five organizations operate under AI usage constraints, whether token quotas, usage caps, or budget limits.

AI autonomy increases, but humans retain responsibility

Developers are willing to grant AI agents greater independence for low-risk, reversible tasks such as documentation. As tasks approach live production, however, the need for human oversight grows sharply: 79 percent confirm that production use always requires human approval.

Developer roles themselves are shifting accordingly, with system architecture and design skills growing more critical.