New Agoda report reveals the forces shaping the next phase of AI maturity in Southeast Asia and India

Here’s a detailed breakdown of the Agoda AI Developer Report 2025, which explores how AI maturity is evolving across Southeast Asia and India

Near-Universal Adoption:
- 95% of developers use AI weekly.
- Usage is strongest in code generation (94%), but drops for downstream tasks:
- Documentation (72%)
- Code review (67%)
- Testing (57%)
- Planning (56%)
- Deployment (36%)

Governance Gap:
- Only 25% of teams operate under official AI guidelines.
- 60% of organizations lack a formal AI policy.
- Governance is mostly shaped by team culture and peer practices, not structured frameworks.

Reliability Concerns:
- Developers report that AI-generated code works correctly less than half the time without significant revisions.
- 70% routinely rework outputs, and 67% always review AI-generated code before merging.

Organizational Responses
- Leading companies are building structured governance frameworks to balance autonomy with oversight.
- Example: Agoda’s GenAI Proxy – a unified layer that authenticates usage, enforces limits, monitors costs, and ensures compliance across multiple LLM providers.
- This infrastructure helps measure adoption patterns and refine policies based on real-world usage.

Regional Strengths
- Southeast Asia and India’s advantage lies in speed and adaptability.
- Developers are advancing adoption with peer oversight and disciplined practices, but the next step is to embed trust, quality, and governance into scalable frameworks.

Strategic Implications
- The report emphasizes that the next differentiator won’t be who adopts AI first, but who builds clear frameworks for consistent and productive usage.
- Companies that succeed will set the regional standard for reliable and responsible AI.

This study positions Southeast Asia and India as fast-moving AI ecosystems, but highlights that governance and reliability will define the next phase of maturity.