AI Governance

In his opening remarks at the 2026 Green Fintech Symposium, HKMA Chief Executive Eddie Yue presented a strategy that combines digital data infrastructure (the Commercial Data Interchange and Project CargoX), the next phase of the Hong Kong Taxonomy for Sustainable Finance, and market-led green fintech innovation. The speech sets no new binding requirements, but it signals supervisory priorities on greenwashing, transition-washing, and data-driven climate risk assessment. Compliance teams should treat the Taxonomy as the expected reference standard for sustainability claims and classifications.

HKMA Deputy Chief Executive Darryl Chan said Hong Kong is expanding sustainable finance access for SMEs through a Phase 2B Hong Kong Taxonomy consultation, a broader green debt grant scheme, and a free greenhouse gas emissions calculator. The speech is not binding, but it signals supervisory priorities. Compliance teams should watch the taxonomy consultation, which will shape how transition and adaptation activities are classified and disclosed.

The CMA has issued an open letter reminding domestic heating oil suppliers that consumer contract terms must be fair and transparent, with particular focus on terms that remove or reduce supplier liability. The letter follows a CMA intervention over order cancellations during a price and demand surge tied to the Middle East conflict, which resulted in voluntary compensation for hundreds of customers. Compliance teams in any consumer-facing sector should treat it as a signal of enforcement priorities for contract terms during market volatility.

The AMF's SPOT campaign across five French portfolio management companies (SGPs) found weaknesses in telephone recording policies, retention periods, and deletion procedures. Voice ordering is declining (only 19% of surveyed SGPs use it), but the AMF says the channel carries heightened operational and compliance risk and still requires robust controls. Compliance teams should use the findings to benchmark their own recording frameworks, especially where MiFID II, AIFM, UCITS, and GDPR requirements overlap.

A multinational can deploy the same artificial intelligence system in Frankfurt, Chicago, and Singapore and face three different sets of questions about its legality, oversight, and accountability. The technology is identical, but the obligations attached to it are not. In Europe, the company must decide whether the system falls within the EU Artificial Intelligence Act, what role the company plays under it, and which requirements are already enforceable. In the United States, the inquiry moves among federal statutes, sector regulators, state laws, and enforcement powers that predate generative AI. Singapore pairs an enforceable data protection statute with voluntary AI governance frameworks meant to shape how organizations build and use the technology.

The use of generative artificial intelligence among Finnish financial institutions has climbed from 74% to 90% in a year, according to a regulatory survey that also found the technology moving further into customer-facing operations.

Companies are preparing to spend an average of $210 million on artificial intelligence over the next 12 months, a 13% increase since the beginning of the year. Yet only 12% consistently measure the value of their AI investments against what they cost, according to a new global survey from KPMG.