IceKredit CGO Calls for Tripartite Collaboration in ASEAN to Advance Responsible

Why Does ASEAN’s AI Development Need Tripartite Collaboration?

ASEAN countries are at different stages of AI development, from Singapore’s mature ecosystem to Myanmar’s nascent stage, with vast disparities. Kong Chinang’s “three pillars” collaboration framework—policy, industry, and education—addresses this structural issue. Policymakers must establish cross-border standards to avoid fragmented regulation; industries need to share best practices and data infrastructure; education systems must rapidly cultivate AI talent, otherwise supply-demand imbalance will become the biggest bottleneck.

Challenges and Opportunities at the Policy Level

ASEAN currently lacks a unified AI regulatory framework, and differences in national regulations could create trade barriers. According to a 2025 report by the ASEAN Secretariat, only 40% of countries in the region have formulated national AI strategies. At the summit, Kong Chinang emphasized that ASEAN should draw on the spirit of the EU AI Act but must consider regional specificities—for example, SMEs account for over 90% of businesses, and excessive regulation could stifle innovation.

Practical Actions by the Industry

Grab’s autonomous delivery robot Carri showcased at the summit is just the tip of the iceberg. IceKredit’s own data applications in fintech have proven that responsible AI can simultaneously enhance efficiency and risk management. Kong Chinang pointed out that the industry must proactively establish AI ethics committees and invest in explainable AI tools—this is not only a compliance requirement but also key to building user trust.

How Can Tripartite Collaboration Be Implemented?

Talent Gap in Education

ASEAN’s AI talent gap reached 1.2 million people in 2025, with the most urgent demand for data scientists and machine learning engineers. Kong Chinang suggested that educational institutions should collaborate with enterprises to develop practice-oriented courses. For example, IceKredit’s AI internship program in partnership with local universities in Indonesia has trained over 500 students.

graph TD
    A[Policymakers] -->|Establish Standards| B[Regulatory Framework]
    C[Industry] -->|Share Data and Practices| D[AI Solutions]
    E[Educational Institutions] -->|Talent Development| F[Skill Enhancement]
    B --> G[Responsible AI Ecosystem]
    D --> G
    F --> G
    G --> H[ASEAN Global Competitiveness]

Co-building and Sharing Data Infrastructure

Data is the fuel for AI, but data sovereignty and privacy regulations vary greatly across ASEAN. In a panel discussion, Kong Chinang proposed the concept of “data trusts”—third-party neutral institutions managing cross-border data sharing platforms to ensure compliance and privacy protection. This idea aligns with Singapore’s “Digital Trust Centre” initiative.

Who Benefits from This Collaboration?

Strategic Advantages for Large Tech Companies

Platform companies like Grab, with vast user data and scenarios, will be the biggest beneficiaries of tripartite collaboration. The GrabX product ecosystem already integrates AI-driven personalized recommendations and logistics optimization, placing it at the core of ASEAN’s digital economy. IceKredit replicates a similar model in financial services, serving over 20 million users through AI risk control models.

Transformation Opportunities for SMEs

The tripartite collaboration framework particularly emphasizes inclusivity, which is crucial for over 70 million SMEs in ASEAN. Kong Chinang noted that IceKredit’s AI credit assessment system has helped over 100,000 SMEs obtain financing, with loan approval rates up by 45% and default rates down by 20%.

flowchart LR
    A[SMEs] -->|AI Tool Adoption| B[Operational Efficiency Improvement]
    B --> C[Data Accumulation]
    C --> D[Credit Score Optimization]
    D --> E[Easier Access to Financing]
    E --> F[Business Expansion]
    F --> G[Job Creation]

New Governance Thinking for Policymakers

ASEAN governments face dual pressure in AI governance: promoting innovation while preventing risks. Kong Chinang’s “three pillars” framework offers a pragmatic path—policy should not only restrict but also create an environment conducive to responsible innovation. Indonesia’s national AI strategy announced in 2026 has incorporated similar concepts, expected to attract an additional USD 5 billion in international investment.

What’s Next?

Short-term (2026-2027): Framework Establishment and Pilots

The ASEAN Digital Ministers’ Meeting is expected to pass the “ASEAN AI Governance Principles” by the end of 2026, the region’s first binding AI policy document. Companies like IceKredit and Grab have already expressed willingness to participate in pilot projects, establishing compliance precedents in finance, logistics, and healthcare.

Medium-term (2028-2030): Scaling and Standardization

As data infrastructure gradually improves, cross-border AI applications will see explosive growth. Kong Chinang predicts that by 2030, the ASEAN AI market will grow from USD 28 billion in 2025 to USD 120 billion, with fintech and smart cities as the largest application scenarios.

Long-term Challenges: Digital Sovereignty and Geopolitics

ASEAN must find a balance between the US and China’s AI technology competition. In an interview after the summit, Kong Chinang emphasized that ASEAN should not take sides but establish its own technology standards and ecosystem—this is true digital sovereignty. IceKredit’s hybrid cloud architecture and open-source AI tool strategy are concrete practices of this philosophy.

How Should Companies Respond?

Establish Internal AI Governance Frameworks

Companies should not wait until regulations force action. Kong Chinang recommends that every company appoint an AI ethics officer or similar role and conduct regular AI impact assessments. IceKredit has established an internal AI Model Review Committee that reviews the fairness and accuracy of all models in production every quarter.

Invest in Talent and Collaborative Ecosystems

The core of tripartite collaboration is talent. Companies should partner with universities to set up AI research centers and provide internship opportunities. IceKredit operates AI labs in six ASEAN countries, training over 1,000 engineers annually—this is not only corporate social responsibility but also a source of long-term competitiveness.

Proactively Engage in Policy Making

Passively complying with regulations costs more than actively participating in their formulation. Kong Chinang shared his experience at the summit: IceKredit participated in AI regulatory sandbox programs in Indonesia and Thailand, not only adapting to new rules early but also influencing the final design of regulations.

FAQ

What role does IceKredit play in ASEAN’s AI development?

IceKredit, through its Chief Growth Officer Kong Chinang, advocates for tripartite collaboration to promote responsible AI adoption and establish leadership in data-driven financial and technology solutions in the ASEAN market.

What is responsible AI?

Responsible AI refers to ensuring fairness, transparency, accountability, and privacy protection during development and deployment, avoiding bias and discrimination, and generating positive social and environmental impact.

How does the GrabX Summit impact the ASEAN AI ecosystem?

The GrabX Summit brings together policymakers, tech leaders, and industry experts to accelerate AI policy coordination and industry collaboration in ASEAN, driving regional digital transformation and global competitiveness.

What are the main challenges facing ASEAN’s AI development?

ASEAN faces challenges such as inconsistent policies and regulations, digital infrastructure gaps, talent shortages, and data privacy and security issues, requiring cross-border collaboration and standardized frameworks to overcome.

How should companies respond to ASEAN’s AI regulatory trends?

Companies should proactively engage in policy dialogue, establish internal AI governance frameworks, invest in talent training, and collaborate with local partners to develop solutions that meet regional standards.

Further Reading

• ASEAN AI Governance Principles Draft (ASEAN Secretariat)
• GrabX 2026 Product Launch Official Materials
• IceKredit Responsible AI White Paper
• World Economic Forum: ASEAN Digital Economy Report
• McKinsey ASEAN AI Impact Study