Singapore, Japan, and South Korea's 2024–2026 AI Compliance Shift: What Professional Services Need to Know Now

The Far East is no longer a secondary consideration in global AI compliance planning. Across Singapore, Japan, and South Korea, regulators have moved from principles to policy, and in some cases from policy to enforceable law. For international professional services businesses operating across these jurisdictions, the window for a casual approach has closed.

This briefing sets out what has changed, what it means in practice, and where the compliance priorities lie.

Singapore: Governance Frameworks Are Maturing Fast

Singapore has long positioned itself as a pragmatic, innovation-friendly regulatory environment, and that posture remains. But pragmatic does not mean passive. The Infocomm Media Development Authority (IMDA) released its AI Governance Framework for Generative AI in May 2024, building on the Model AI Governance Framework first published in 2019. In January 2026, IMDA extended that architecture further with a dedicated framework for agentic AI — autonomous systems capable of making and executing decisions without continuous human instruction.

These frameworks are currently voluntary. However, voluntary guidance in Singapore has a consistent track record of hardening into regulatory expectation. Businesses that treat IMDA's principles as optional reading are taking a calculated risk.

The more immediate compliance pressure comes from the Personal Data Protection Commission (PDPC). Proposed advisory guidelines issued in June 2026 clarify how the Personal Data Protection Act (PDPA) applies to generative AI systems. Critically, the guidelines address the use of publicly available and web-scraped data for model training — a practice many businesses have assumed sits in a permissive grey area. The PDPC's position introduces meaningful friction. Explicit, AI-specific consent for large-scale data training is now a live compliance question, not a theoretical one.

Combined with earlier PDPA amendments from February 2021 — which introduced mandatory breach notification, higher penalties, and enhanced consent requirements — the Singaporean data protection landscape demands structured attention from any business deploying AI that touches personal data in that jurisdiction.

What this means in practice: Businesses need documented AI governance frameworks aligned with principles of fairness, explainability, and human oversight. Data minimisation must be embedded into AI workflows, not retrofitted. Individuals should receive clear, AI-specific notification about how their data is being used. The cost of Data Protection Officers with genuine AI literacy is rising — factor that into your resourcing.

Japan: Greater Flexibility, Greater Accountability

Japan's regulatory direction is deliberately growth-oriented. The non-binding AI Promotion Act, passed in May 2025, signals strategic commitment to AI development as a national priority. In April 2026, the Cabinet approved amendments to the Act on the Protection of Personal Information (APPI) that expand lawful grounds for using personal data in AI training and analytics, reducing reliance on consent in certain circumstances.

For businesses that have been navigating Japan's historically restrictive data protection regime, this represents genuine relief. However, the amendments simultaneously tighten safeguards around sensitive categories — biometrics in particular — and increase transparency obligations in data sharing arrangements.

The Personal Information Protection Commission (PPC) had already put down a marker in June 2023, warning that retaining or reusing data entered into AI systems for training purposes without consent could constitute a violation. That warning has not been retracted. The 2024 AI Business Operator Guidelines, updated in March 2025, translate these expectations into practical operational standards.

What this means in practice: The APPI amendments offer more room to work with data in AI development, but that flexibility carries accountability conditions. Businesses must ensure AI systems operate within disclosed data use purposes — mission creep creates legal exposure. Internal impact assessments are required for sensitive and biometric data. Regular risk assessments are not a compliance formality; they are the mechanism by which accountability is demonstrated when regulators ask questions.

South Korea: A Binding, Risk-Based Framework Now in Effect

South Korea has moved furthest along the regulatory curve. The AI Basic Act — formally, the Basic Law on the Development of Artificial Intelligence and Creation of Trust Base — was passed in late 2024 and came into force in January 2026. This is not guidance. It is law.

The Act establishes a unified, risk-based regulatory structure, distinguishing between AI systems according to the potential impact of their deployment. High-impact categories face correspondingly rigorous obligations. For professional services businesses — where AI is increasingly embedded in legal research, financial analysis, client advisory, and operational functions — understanding where your systems sit on the risk spectrum is the necessary first step.

South Korea's decision to legislate comprehensively, rather than rely on sectoral guidance or voluntary frameworks, reflects a regulatory philosophy closer to the EU AI Act than to Singapore's current approach. Businesses already managing EU AI Act compliance will find conceptual overlap, but the specifics differ and jurisdiction-specific compliance programmes remain essential.

What this means in practice: If you operate in South Korea and deploy AI, you are subject to binding obligations now. A risk classification exercise is not optional. High-risk AI applications require documented governance, human oversight mechanisms, and accountability structures that can withstand regulatory scrutiny. The time for scoping those obligations is not after an enforcement action.

The Cross-Jurisdictional Picture

Taken together, Singapore, Japan, and South Korea represent a regulatory zone in active, accelerating development. The trajectory in each jurisdiction points in the same direction: greater specificity, stronger enforcement potential, and rising expectations for AI governance as a baseline business competency rather than a specialist add-on.

For international professional services businesses managing compliance across multiple regions simultaneously, several themes cut across all three jurisdictions.

Data governance is foundational. All three regulatory environments place significant weight on how personal data is handled in the context of AI development and deployment. Consent frameworks, breach notification obligations, and data minimisation requirements differ in their specifics, but the underlying demand is consistent: know what data you are using, why, on what legal basis, and what happens to it.

Documentation and accountability matter. Regulators across the region are asking for evidence of governance in action — impact assessments, risk classifications, internal policies, audit trails. Businesses that cannot produce this documentation are exposed regardless of whether their AI systems are otherwise well-designed.

Voluntary today, mandatory tomorrow. Singapore's current frameworks are non-binding, but the direction of travel is clear. Building compliance infrastructure now, while requirements remain advisory, is considerably less disruptive than retrofitting governance under enforcement pressure.

Take the Next Step With Ops Intel

Navigating AI compliance across Singapore, Japan, South Korea, and beyond requires more than monitoring regulatory announcements. It requires a structured, jurisdiction-aware compliance programme that connects legal obligations to operational reality.

Ops Intel works with international professional services businesses and global enterprises to design and implement AI governance frameworks that meet today's requirements and flex with tomorrow's. Whether you need a cross-jurisdictional gap analysis, bespoke policy development, or ongoing compliance support, our team is ready to help.

Contact Ops Intel today to discuss how we can support your Far East AI compliance obligations — before the regulatory environment moves faster than your organisation can respond.