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Asia’s digital economy is becoming more integrated, but the technology companies operating across the region are confronting a paradox. ASEAN concluded negotiations on its Digital Economy Framework Agreement (DEFA) in May 2026, an initiative intended to create a more digitally integrated, secure and interoperable regional economy. With successful implementation, ASEAN’s digital economy could reach as much as $2 trillion by 2030. Yet the regulatory environment underneath that digital expansion remains fragmented. The OECD’s 2026 Digital Trade Review of ASEAN found significant differences in how member states regulate cross-border data flows, while data localization measures are increasing in both number and restrictiveness.
For technology companies, this means expanding across Asia is no longer simply a matter of adapting a product to different customers. Data protection, connectivity, telecommunications licensing and data residency requirements can determine where information is processed, how infrastructure is deployed and which local partners are needed. Compliance is increasingly becoming part of the technology product itself.
Cross-border data is one of the clearest examples of this tension. Singapore, Malaysia, the Philippines and Thailand have developed approaches broadly aligned with the principle of Data Free Flow with Trust, while Indonesia and Vietnam have adopted more restrictive approaches in areas of cross-border data movement and localization. The OECD says greater interoperability and coherence between these regimes is needed if ASEAN is to maximize the economic benefits of digital trade.
The practical implications extend well beyond legal teams. A company operating an AI platform, cloud service, communications product or enterprise software system may have to determine whether customer information can leave a country, what safeguards are required when it does, and whether particular workloads need to remain within national borders. The Future of Privacy Forum’s 2026 review of APAC data-transfer rules describes the region’s trajectory as a combination of convergence toward international privacy safeguards and divergence through localization and data-sovereignty measures. That combination is creating a new product-development challenge.
Toku’s experience across Asia provides a practical example of how regulation can shape technology deployment. The Singapore-based AI-powered customer experience company has expanded across multiple Asian markets, where telecommunications and data requirements vary significantly. Its establishment of a Taiwan branch was intended to strengthen local infrastructure, regulatory compliance and partnerships for regional customers.
While conversing with AsiaTechDaily, Thomas Laboulle, Founder and CEO of Toku, explained how operating across different Asian jurisdictions changed the company’s approach to compliance:
“Toku was built in Asia Pacific, a region where telecommunications, data protection and language requirements shift at almost every border. Operating there taught us to treat regulatory complexity as part of the product. We learn each market’s rules on data handling, connectivity and customer communications, and design them into a deployment from the outset rather than retrofitting them later. One small example is Taiwan, where we opened a branch in 2025 because new subscriber-verification rules required VoIP services to be resold through a locally licensed structure. We built for the rule instead of arguing with it.”
The significance is broader than telecommunications. A regulatory requirement can determine whether a company needs a local entity, how it structures connectivity, where customer information is processed and which partners it can use. For companies attempting to scale a single technology platform across several Asian markets, those requirements can become architectural decisions.
The rise of AI is making this issue more consequential because AI systems increasingly process sensitive customer conversations, voice recordings, transcripts and enterprise data. Toku’s own technology development illustrates this shift. In 2026, the company launched Makimoto, an open-source initiative for conversational AI designed around APAC data-residency requirements. Its first product, Kawa, was launched as a Singapore-hosted transcription API, with country-specific APIs and self-hostable deployments planned for customers that need processing within their own cloud, data center or jurisdiction.
Kawa subsequently became publicly available in July 2026 as what Toku described as its first sovereign conversational AI infrastructure release. This reflects a broader shift in enterprise AI architecture. The question is no longer only which model delivers the best accuracy. Companies also need to determine where data is processed, which components can be moved between environments and whether an AI workload can satisfy the requirements of different jurisdictions. That makes regulatory adaptability an engineering capability.
Historically, compliance could be treated as a largely separate business function: build the product, enter the market and then address local requirements. That model becomes harder to sustain as regulation affects the underlying infrastructure. A regional technology company may need to consider:
These requirements can increase costs and operational complexity. But they can also influence product differentiation. A platform capable of adapting its infrastructure and deployment model to different regulatory environments can potentially scale across fragmented markets without rebuilding its entire technology stack each time.
ASEAN’s DEFA demonstrates that governments recognize the economic cost of fragmented digital markets. Its provisions cover cross-border data flows, personal data protection, electronic payments and emerging technologies including AI. However, regional frameworks will not immediately eliminate national requirements. The OECD‘s findings show that companies still face materially different rules across ASEAN jurisdictions.
For technology companies, therefore, the near-term reality is not a single Asian digital market, but a collection of markets gradually becoming more interoperable.
Asia’s digital economy is entering a phase in which technology companies must solve two problems simultaneously: how to scale across borders and how to remain compliant within each border. That makes compliance more than a cost of market entry. It can influence infrastructure, partnerships, deployment models and ultimately product design.
The companies best positioned to scale across Asia may not simply be those with the strongest technology. They may be those capable of adapting that technology to different regulatory and data environments without sacrificing usability or economics. As Asia moves toward greater digital integration, the ability to navigate regulatory fragmentation could therefore become a technology capability in its own right.