Across Southeast Asia and India, a quiet transformation is underway: developers have made artificial intelligence a fixture of daily work, yet the institutions meant to guide that work have not kept pace. A 2025 survey by Agoda spanning more than 600 developers across seven markets reveals that near-universal adoption conceals a deeper unevenness — AI is embraced where risk is low and quietly set aside where consequences grow serious. The region now faces a question that follows every technological rush: not whether to adopt, but how to govern what has already been adopted.
Lokmat Times
· Nov 14, 2025
· technology
· 3 min read
High
Sourcing: Characterized
Governance, Not Adoption, Will Define AI's Next Phase in Southeast Asia
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Technology
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Bias & Framing
⚖
Article presents governance gaps as critical AI challenge in Southeast Asia using Agoda report data, with promotional framing of Agoda's solutions as industry best practice.
Bias Direction
center-right
Confidence
HIGH
Problem-solution narrative that positions Agoda's proprietary governance approach as the exemplary model for addressing identified governance deficiencies, using data selectively to support this framing.
governance not adoption will define
closing this gap
Leading organizations
responsible scaling
foundations position the company
nearly universal adoption
Perspectives from developers who prefer lightweight/minimal governance approaches
Concerns about over-surveillance or control through governance infrastructure
Alternative governance models beyond Agoda's centralized proxy approach
Cost-benefit analysis of governance implementation for smaller organizations
Developer autonomy advocates' viewpoint on formalized policies
Perspectives from organizations successfully operating without formal AI policies
Critical analysis of whether governance actually improves outcomes
Geopolitical Impact
🌎
Southeast Asia and India face an AI governance crisis: 95% of developers use AI weekly, but only 25% operate under official guidelines, creating regulatory vulnerability and competitive disadvantage versus regulated markets.
Escalation Risk
moderate
Confidence
HIGH
Southeast Asia
India
Singapore
Vietnam
Thailand
Indonesia
Philippines
Malaysia
Tech companies (Agoda, global AI providers) are establishing de facto governance standards before governments intervene, creating private-sector regulatory capture. This shifts power from state regulators to multinational corporations and creates asymmetric advantage for companies with governance infrastructure versus smaller competitors. India and Southeast Asian nations risk falling behind EU/US regulatory frameworks, weakening their negotiating position in global AI standards-setting.
Similar to early internet governance in the 1990s-2000s, where private companies (ICANN, tech giants) established norms before governments created formal regulations, resulting in Western-centric digital infrastructure that developing nations struggled to influence retroactively.
Economic Lens
📈
Southeast Asia's AI adoption is near-universal among developers (95%), but governance gaps create economic risk; only 25% operate under official guidelines, positioning regulatory compliance and enterprise AI infrastructure as the next growth drivers.
Market Signal
mixed
Confidence
HIGH
Software Development & IT Services
Enterprise Software & Cloud Computing
Regulatory & Compliance Services
Professional Services & Consulting
Technology Infrastructure & DevOps
Consumers may experience improved software quality and faster service deployment as developers adopt AI tools, but face potential risks from inadequate governance including security vulnerabilities, data privacy breaches, and inconsistent service reliability until formal policies mature.
Governments and regulators in Southeast Asia will likely accelerate AI governance frameworks and compliance requirements. Organizations will need to invest in formal AI policies, audit mechanisms, and infrastructure (like GenAI proxies) to manage risk. This creates demand for compliance consulting and governance tools, but may increase operational costs for enterprises.