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Cards Wire 2 segments
SFC SFC Hong Kong Source document ↗
SFC Hong Kong AI, Technology & Data ✓ 20 claims 02 Nov 2026

SFC survey finds 30% of large Hong Kong firms already using agentic AI

The SFC's first Large Firm AI Readiness Survey maps how far agentic AI has moved into Hong Kong trading, drafting and operational workflows, and signals where the regulator will focus supervisory attention as autonomy increases. It matters because the findings, not a rulebook, are shaping the SFC's next moves on accountability and controls.

  • 30% of surveyed firms already use agentic AI in business operations and 25% are piloting it, with varying autonomy and human involvement.
  • 95% of firms expect their AI use to accelerate over the next 12 months, and 90% have connected AI tools to internal systems.
  • 90% of firms are using or evaluating frontier AI models for cyber defence, reporting faster analysis and broader detection coverage.
  • The survey covered 12 large global firms, five large Chinese Mainland firms and three large online retail brokers, whose affiliated licensed corporations accounted for over 75% of securities transactions reported for the six months ended 30 June 2026.
  • The SFC's four supervisory priorities arising from the findings are investor protection, cybersecurity and operational resilience, AI governance and accountability, and capability building through engagement.
Source document
BRDR Brdr.Hkma Source document ↗
Hong Kong Brdr.Hkma AI, Technology & Data ✓ 32 claims 22 Oct 2026

HKMA replaces 2019 AI principles with new 'ART' guidance for banks

The Hong Kong Monetary Authority has issued updated supervisory guidance on responsible adoption of artificial intelligence by authorised institutions, superseding its 2019 High-level Principles. Built around three pillars, Accountability, Resilience and Trust, the document sets expectations on governance, use-case inventories, testing, incident response, data and third-party risk, and fair treatment of customers. This segment covers what changed and what firms must now uplift.

  • The guidance supersedes the HKMA's High-level Principles on Artificial Intelligence dated 1 November 2019 and is structured around three pillars forming the acronym ART: Accountability, Resilience and Trust.
  • Boards must approve an AI strategy and risk appetite, assign an owner to each deployed use case, and maintain an up-to-date inventory of approved use cases while implementing controls against 'shadow AI'.
  • Material or higher-risk use cases require independent validation, adversarial testing where appropriate, senior management sign-off, and a built-in kill switch or equivalent for prompt suspension.
  • Firms must ensure data use complies with the Personal Data (Privacy) Ordinance and use contractual safeguards to stop AI service providers re-using customer data for model training without authorisation.
  • Before offering an AI-powered service, institutions must inform consumers of the use of AI and relevant risks, with existing disclosure and opt-out expectations continuing to apply.
Source document